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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SAJBM</journal-id>
<journal-title-group>
<journal-title>South African Journal of Business Management</journal-title>
</journal-title-group>
<issn pub-type="ppub">2078-5585</issn>
<issn pub-type="epub">2078-5976</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SAJBM-57-5857</article-id>
<article-id pub-id-type="doi">10.4102/sajbm.v57i1.5857</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>When transparency fails: Performative governance in emerging-market oil and gas supply chains</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0418-0128</contrib-id>
<name>
<surname>Okeke</surname>
<given-names>Augustine</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Institute of Business, Industry and Leadership, University of Cumbria, Lancaster, United Kingdom</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Augustine Okeke, <email xlink:href="augustine.okeke@cumbria.ac.uk">augustine.okeke@cumbria.ac.uk</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>02</day><month>10</month><year>2026</year></pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>57</volume>
<issue>1</issue>
<elocation-id>5857</elocation-id>
<history>
<date date-type="received"><day>22</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>11</day><month>08</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026. The Author</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Purpose</title>
<p>This study examines how sustainability disclosure relates to supplier trust and collaborative willingness in Nigeria&#x2019;s oil and gas supply chain, drawing on performative governance theory.</p>
</sec>
<sec id="st2">
<title>Design/methodology/approach</title>
<p>A survey of 148 procurement, sustainability and regulatory managers tested a moderated sequential mediation model using partial least squares structural equation modelling (PLS-SEM), with 5000 bootstrap resamples, measurement invariance testing and multigroup comparisons. Covariance-based structural equation modelling (CB-SEM) provided a sensitivity assessment.</p>
</sec>
<sec id="st3">
<title>Findings/results</title>
<p>Sustainability signalling quality was positively associated with perceived authenticity, which predicted supplier trust and collaborative willingness through the hypothesised sequence. Policy alignment perception positively moderated the signalling quality-authenticity relationship, with the largest estimated moderation coefficient among regulators.</p>
</sec>
<sec id="st4">
<title>Practical implications</title>
<p>Managers should prioritise specific, decision-useful and internally consistent disclosure aligned with salient policy expectations. Policymakers should improve policy interpretability and verification cues.</p>
</sec>
<sec id="st5">
<title>Originality/value</title>
<p>The study identifies authenticity as an evaluative mechanism linking sustainability communication to relational governance and policy alignment as a contextual condition shaping this relationship across stakeholder groups.</p>
</sec>
</abstract>
<kwd-group>
<kwd>performative governance</kwd>
<kwd>sustainability signalling</kwd>
<kwd>authenticity</kwd>
<kwd>supplier trust</kwd>
<kwd>policy alignment</kwd>
<kwd>Nigeria</kwd>
<kwd>oil and gas</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Sustainability disclosure increasingly serves as a governance device in supply chains because external audiences use disclosures to infer managerial intent, operational capability, and exposure to sanctions amid information asymmetry (Montecchi et al., <xref ref-type="bibr" rid="CIT0051">2019</xref>; Searcy et al., <xref ref-type="bibr" rid="CIT0062">2022</xref>). Climate-reporting regimes have further intensified these demands by shifting materiality assessments towards value-chain exposures, thereby elevating expectations for supplier-facing data, including Scope 3 emissions and control information (IFRS Foundation, <xref ref-type="bibr" rid="CIT0038">2023</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>). In extractive supply chains, however, disclosure-based governance is frequently assessed not only for informational content but also for its performative credibility, particularly where scrutiny outpaces institutional capacity and enforcement reliability (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Nigeria offers a theoretically informative setting because the <italic>Petroleum Industry Act 2021</italic> reconfigures sector oversight and host-community provisions while implementation frictions and compliance disputes sustain contested expectations about what disclosure can accomplish in practice (Borha &#x0026; Olujobi, <xref ref-type="bibr" rid="CIT0009">2026</xref>; <italic>Petroleum Industry Act, <xref ref-type="bibr" rid="CIT0055">2021</xref></italic>). Prior research indicates that transparency can support favourable stakeholder responses, yet reactions weaken or reverse when signals are viewed as incongruent with observable practices or stakeholder norms, rendering disclosure vulnerable to scepticism rather than trust formation (Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). This interpretive challenge is amplified in multiactor supply chains because buyers, suppliers, contractors, and regulators occupy distinct evaluative positions and therefore apply different credibility thresholds to the same disclosure cues (Diebel et al., <xref ref-type="bibr" rid="CIT0019">2024</xref>; Howe &#x0026; Jin, <xref ref-type="bibr" rid="CIT0035">2022</xref>). These conditions motivate the core question addressed in this study: when does sustainability disclosure generate supplier trust (ST) and willingness to collaborate rather than symbolic compliance in an emerging-market oil and gas supply chain (Searcy et al., <xref ref-type="bibr" rid="CIT0062">2022</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>)? Drawing on signalling theory, we argue that disclosure influences counterpart behaviour to the extent that it conveys high-quality signals about unobservable commitment and follow-through (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>). Integrating this logic with performative governance, we propose that disclosure is filtered through legitimacy-oriented judgements about sincerity and rule-conformity in contexts where capacity and scrutiny are misaligned (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Norris et al., <xref ref-type="bibr" rid="CIT0053">2024</xref>). We conceptualise Sustainability Signalling Quality (SSQ) as the degree to which disclosed sustainability information is specific, decision-useful, and internally consistent, and we theorise that SSQ shapes Perceived Authenticity (PA) as an attribution about sincerity and likely follow-through (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>). We further theorised Policy Alignment Perception (PAP) as an institutional gate that determines whether SSQ is interpreted as credible compliance with salient policy scripts rather than as opportunistic impression management, thereby strengthening the association between SSQ and PA (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). The hypothesised mechanism is sequential: SSQ increases PA, PA builds ST, and ST increases CW, with PAP moderating the effect of SSQ on PA (Diebel et al., <xref ref-type="bibr" rid="CIT0019">2024</xref>; Howe &#x0026; Jin, <xref ref-type="bibr" rid="CIT0035">2022</xref>). We tested the model using a multi-actor survey of sustainability, procurement, and regulatory managers in Nigeria&#x2019;s oil and gas sector and estimated the hypothesised relationships using complementary PLS-SEM and CB-SEM procedures to balance predictive assessment with confirmatory evaluation under small-to-moderate sample conditions (Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). The study contributes by specifying authenticity and policy alignment as analytically separable evaluative filters through which the quality of sustainability signals is converted into trust and collaboration, thereby explaining why heightened disclosure pressure may not yield cooperative governance outcomes in contested institutional environments (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Montecchi et al., <xref ref-type="bibr" rid="CIT0051">2019</xref>). The remainder of this article is organised as follows. The next section reviews the literature on sustainable procurement and supply chain transparency, signalling quality and authenticity attributions, and performative governance under policy-script conditions in emerging-economy extractive sectors, culminating in the study hypotheses. The methodology section then details the research design, sampling and instrument development, and the dual-estimation strategy using PLS-SEM for prediction-oriented testing and CB-SEM for confirmatory sensitivity assessment. The subsequent results section reports measurement evaluation, structural path estimates, moderation and mediation tests, and multigroup comparisons across buyers, suppliers or contractors, and regulators. The discussion section interprets the findings through Performative Governance Theory (PGT) as the study&#x2019;s sole theoretical engine and articulates the resulting theoretical implications for sustainability governance in supply chains. The article concludes by summarising contributions, acknowledging limitations, and outlining priority directions for future research.</p>
</sec>
<sec id="s0002">
<title>Literature review</title>
<sec id="s20003">
<title>Sustainable procurement, transparency and governance in supply chains</title>
<p>Sustainable procurement constitutes a primary organisational lever for embedding environmental and social expectations in upstream relationships because purchasing specifications, supplier selection, and contractual monitoring determine which sustainability norms are transmitted and enforced across tiers (Hoejmose &#x0026; Adrien-Kirby, <xref ref-type="bibr" rid="CIT0034">2012</xref>; Walker et al., <xref ref-type="bibr" rid="CIT0071">2008</xref>). Procurement-based sustainability governance has moved beyond aspirational policy statements towards the design of auditable requirements and relational routines that allocate responsibilities between buyers and suppliers (Brammer &#x0026; Walker, <xref ref-type="bibr" rid="CIT0010">2011</xref>; Walker et al., <xref ref-type="bibr" rid="CIT0071">2008</xref>). This shift has coincided with heightened demand for supply chain transparency, defined here as the provision of decision-relevant information that permits external and inter-firm audiences to evaluate sustainability performance and associated risks across the value chain (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>). Transparency is increasingly treated as a governance instrument because disclosure shapes stakeholders&#x2019; evaluations of compliance capacity and intent, particularly when enforcement and verification infrastructure is uneven (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>). Regulatory developments in climate reporting further reinforce value-chain reporting expectations by directing attention to upstream and downstream exposures and supplier-facing emissions, thereby intensifying informational demands within high-impact supply networks (IFRS Foundation, <xref ref-type="bibr" rid="CIT0038">2023</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>). Yet, transparency does not automatically yield cooperative outcomes because audiences interpret disclosures through comparative assessments of consistency and follow-through, rather than treating disclosure volume as a proxy for integrity (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). Empirical work shows that revealing supplier-monitoring activities can strengthen favourable responses when disclosures convey meaningful oversight and accountability, but effects are contingent on perceived congruence with observable organisational conduct (Duan et al., <xref ref-type="bibr" rid="CIT0022">2021</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). In supply networks, sustainability failures often originate in lower-tier suppliers and diffuse reputational and operational risk to focal firms, making disclosure and monitoring simultaneously necessary and politically sensitive (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). These patterns establish a governance dilemma: firms face escalating transparency expectations while operating in settings where compliance monitoring, enforcement credibility and interpretive trust are not assured (Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). The literature, therefore, motivates a relational account of how sustainability-related information serves as a basis for trust and collaboration, rather than remaining symbolic communication or risk-transfer rhetoric (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Duan et al., <xref ref-type="bibr" rid="CIT0022">2021</xref>).</p>
</sec>
<sec id="s20004">
<title>Signalling quality, perceived authenticity and supplier trust formation</title>
<p>Supply chain sustainability communication is characterised by information asymmetry because firms possess private knowledge about practices, controls, and trade-offs that external audiences and upstream partners cannot directly observe (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Signalling theory explains how senders attempt to reduce such asymmetries through communicative acts that vary in observability, credibility and costliness, while receivers evaluate those acts under uncertainty and potential opportunism (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). Within transparency regimes, signal evaluation becomes more demanding because receivers compare multiple informational cues across time and channels and penalise inconsistencies across evaluative dimensions, particularly when integrity claims co-occur with evidence of capability gaps (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). Consequently, the explanatory target shifts from disclosure presence to signalling quality, understood as the extent to which sustainability information is specific, decision-relevant, and internally consistent in ways that support credible inference (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>). High-quality signals are more likely to be treated as informative when they cohere with monitoring architectures and when disclosure is accompanied by governance practices that reduce counterpart exposure to opportunism (Duan et al., <xref ref-type="bibr" rid="CIT0022">2021</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). However, signalling quality alone does not settle whether receivers attribute sincerity to the sender, because credibility judgements incorporate moral and relational evaluations rather than informational properties only (Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Authenticity scholarship conceptualises PA as an attribution regarding genuineness that depends on distinctiveness, social embeddedness and consistency between communicated commitments and enacted practices (Alhouti et al., <xref ref-type="bibr" rid="CIT0004">2016</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>). In sustainability communication, authenticity is threatened by greenwashing and symbolic compliance incentives, which can lead to defensive interpretations and reduce willingness to enter cooperative arrangements, even when disclosures appear technically sophisticated (Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>). Perceived authenticity, therefore, functions as an evaluative filter that translates signalling quality into relational confidence, because authenticity judgements govern whether receivers interpret sustainability communication as a commitment to mutual gain or as impression management under scrutiny (Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Trust formation in supply networks depends on these interpretive processes because suppliers engage in information sharing, joint problem solving, and capability upgrading when they expect partners to act reliably and in good faith under uncertainty (Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Yawar &#x0026; Seuring, <xref ref-type="bibr" rid="CIT0073">2017</xref>). This stream implies a sequential logic in which signalling quality shapes PA, PA conditions ST, and trust supports willingness to collaborate on sustainability initiatives that entail cost, interdependence and exposure (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Yawar &#x0026; Seuring, <xref ref-type="bibr" rid="CIT0073">2017</xref>).</p>
</sec>
<sec id="s20005">
<title>Policy alignment perception under performative governance in Nigeria&#x2019;s extractive sector</title>
<p>Institutional settings condition how sustainability signals are interpreted because audiences draw on policy scripts and enforcement expectations when assessing whether corporate commitments are credible and appropriate (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Performative governance theory shows that when public expectations exceed implementation capacity, authorities and regulated actors may rely on language, symbols and gestures that project compliance and control, even where enforcement and service delivery remain constrained (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). This mechanism is analytically salient in extractive industries where sustainability claims intersect with distributional conflict, community trust, and contested state capacity, making &#x2018;alignment&#x2019; with official priorities a salient interpretive criterion (Debski &#x0026; Ezeani, <xref ref-type="bibr" rid="CIT0016">2022</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>). In Nigeria, the <italic>Petroleum Industry Act 2021</italic> restructured regulatory oversight and introduced host-community provisions intended to reshape accountability relations, yet scholarly and legal analyses underscore persistent contestation regarding implementation, coordination, and compliance incentives (Borha &#x0026; Olujobi, <xref ref-type="bibr" rid="CIT0008">2023</xref>; <italic>Petroleum Industry Act, <xref ref-type="bibr" rid="CIT0055">2021</xref></italic>). Local content requirements similarly shape supply network expectations by embedding developmental objectives in procurement and contracting, while generating questions about enforcement credibility and distributional fairness (Abe, <xref ref-type="bibr" rid="CIT0001">2022</xref>; Debski &#x0026; Ezeani, <xref ref-type="bibr" rid="CIT0016">2022</xref>). These conditions imply that receivers evaluate sustainability disclosures not only for informational sufficiency but also for their perceived congruence with salient policy priorities and the plausibility of enforcement in practice (Abe, <xref ref-type="bibr" rid="CIT0001">2022</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>). Policy alignment perception, defined as the perceived congruence between sustainability communication and salient regulatory and developmental scripts, is therefore expected to shape authenticity attributions because alignment provides a socially recognisable basis for judging intent under uncertainty (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). Where policy regimes are fragmented or politically contested, alignment cues can operate as heuristics that stabilise interpretation in the absence of reliable verification, thereby affecting whether sustainability signals are treated as cooperative commitments or strategic positioning (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>). In extractive supply chains that depend on state licences, community acceptance and multiagency oversight, perceived alignment with host-community and sustainability provisions can strengthen attributions of authenticity, but misalignment can trigger scepticism even when disclosures are detailed (Borha &#x0026; Olujobi, <xref ref-type="bibr" rid="CIT0008">2023</xref>; Debski &#x0026; Ezeani, <xref ref-type="bibr" rid="CIT0016">2022</xref>). This literature supports treating PAP as a contextual moderator of the signalling quality-to-PA link, as it captures how macro-governance expectations enter micro-level evaluation (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>).</p>
</sec>
<sec id="s20006">
<title>Hypotheses formulation</title>
<p>Synthesising these streams, an integrative account of sustainability disclosure in Nigeria&#x2019;s oil and gas procurement networks requires modelling signalling quality as the informational foundation, PA as the evaluative attribution, ST as the relational mechanism, and CW as the behavioural orientation towards joint sustainability action (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Yawar &#x0026; Seuring, <xref ref-type="bibr" rid="CIT0073">2017</xref>). This synthesis is consistent with legitimacy research that treats audience evaluation as constitutive of governance outcomes and with performative governance research that treats alignment scripts as determinants of perceived credibility under capacity constraints (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). This study&#x2019;s construct architecture explicitly separates signalling quality from authenticity and trust, and positions PAP as an interpretive condition for the formation of authenticity in a volatile governance setting. Accordingly, (1) SSQ is expected to increase PA because more specific, decision-relevant and internally consistent information supports favourable intent attributions when receivers cannot directly verify practices (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>). (2) PA is expected to increase ST because sincerity attributions reduce perceived opportunism and support willingness to accept vulnerability in inter-firm relationships (Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). (3) ST is expected to increase CW because trust facilitates information sharing, relational investment, and cooperative problem-solving in sustainability initiatives that impose costs and expose parties to hold-up risks (Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Yawar &#x0026; Seuring, <xref ref-type="bibr" rid="CIT0073">2017</xref>). (4) PA is expected to mediate the SSQ&#x2013;ST relationship because signalling quality must be translated into sincerity attributions before it can support relational confidence (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). (5) ST is expected to mediate the PA&#x2013;CW relationship because collaborative orientation typically follows the establishment of reliable expectations regarding partner behaviour and reciprocity (Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Yawar &#x0026; Seuring, <xref ref-type="bibr" rid="CIT0073">2017</xref>). Finally, (6) PAP is expected to strengthen the SSQ&#x2013;PA association because alignment with salient governance scripts provides an interpretive anchor for authenticity attribution under conditions where verification and enforcement are contested (Abe, <xref ref-type="bibr" rid="CIT0001">2022</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>). <xref ref-type="table" rid="T0001">Table 1</xref> summarises the literature streams, focal constructs and boundary conditions underpinning the six hypotheses.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>The integrative contribution of this study&#x2019;s model.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Literature stream</th>
<th valign="top" align="left">Dominant treatment in prior work</th>
<th valign="top" align="left">Limitation in extant evidence base</th>
<th valign="top" align="left">This study&#x2019;s integrative move</th>
<th valign="top" align="left">Focal construct and boundary conditions</th>
<th valign="top" align="left">Theoretical yield for hypotheses</th>
<th valign="top" align="left">Indicative sources</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Sustainable procurement and supply chain transparency</td>
<td align="left">Transparency framed as a governance mechanism and compliance lever in buyer&#x2013;supplier relations</td>
<td align="left">Disclosure intensity is often treated as a proxy for governance effectiveness, with limited separation between information properties and audience evaluation.</td>
<td align="left">Re-specifies transparency as Sustainability Signalling Quality (SSQ), foregrounding informational specificity, decision usefulness and internal consistency rather than disclosure volume</td>
<td align="left">SSQ varies by message design and by the feasibility of verification in the focal supply network</td>
<td align="left">Grounds H1 by positioning SSQ as the informational antecedent of evaluative attribution (SSQ &#x2192; PA)</td>
<td align="left">Brammer and Walker (<xref ref-type="bibr" rid="CIT0010">2011</xref>); Hoejmose and Adrien-Kirby (<xref ref-type="bibr" rid="CIT0034">2012</xref>); Budler et al. (<xref ref-type="bibr" rid="CIT0011">2024</xref>).</td>
</tr>
<tr>
<td align="left">Sustainability disclosure credibility and greenwashing scepticism</td>
<td align="left">Credibility is typically inferred from reporting sophistication, third-party assurances or monitoring claims.</td>
<td align="left">Credibility and sincerity are frequently conflated with trust outcomes, obscuring the evaluative step that precedes relational confidence.</td>
<td align="left">Inserts Perceived Authenticity (PA) as a distinct attributional construct separating sincerity judgements from trust</td>
<td align="left">PA is contingent on consistency between communicated commitments and observable governance routines.</td>
<td align="left">Grounds H2 and H4 by modelling authenticity as the mechanism translating SSQ into trust (SSQ &#x2192; PA &#x2192; ST)</td>
<td align="left">Mazutis and Slawinski (<xref ref-type="bibr" rid="CIT0048">2015</xref>); Mollenkopf et al. (<xref ref-type="bibr" rid="CIT0050">2024</xref>).</td>
</tr>
<tr>
<td align="left">Trust formation in sustainable supply chains</td>
<td align="left">Trust is treated as the relational mechanism enabling joint action and information sharing.</td>
<td align="left">Trust is often modelled without specifying the upstream interpretive drivers that initiate trust in the presence of information asymmetry.</td>
<td align="left">Positions Supplier Trust (ST) as downstream of authenticity, not of disclosure directly</td>
<td align="left">ST is conditioned by vulnerability, dependence and perceived opportunism in procurement exchanges.</td>
<td align="left">Grounds H2 and H3 by linking PA to ST, and ST to collaboration (PA &#x2192; ST &#x2192; CW)</td>
<td align="left">Connelly et al. (<xref ref-type="bibr" rid="CIT0013">2011</xref>); Mazutis and Slawinski (<xref ref-type="bibr" rid="CIT0048">2015</xref>).</td>
</tr>
<tr>
<td align="left">Collaboration and joint sustainability action</td>
<td align="left">Collaboration is measured as realised initiatives or performance outcomes</td>
<td align="left">Collaboration is commonly operationalised as an outcome without modelling willingness as a behavioural orientation</td>
<td align="left">Specifies Collaborative Willingness (CW) as a pre-action behavioural orientation that follows trust</td>
<td align="left">CW is sensitive to perceived reciprocity and anticipated enforcement of sustainability expectations</td>
<td align="left">Grounds H3 and H5 by modelling sequential mediation (SSQ &#x2192; PA &#x2192; ST &#x2192; CW)</td>
<td align="left">Yawar and Seuring (<xref ref-type="bibr" rid="CIT0073">2017</xref>).</td>
</tr>
<tr>
<td align="left">Institutional context and policy regimes in emerging-economy extractive sectors</td>
<td align="left">Context invoked descriptively (regulatory volatility, capacity constraints)</td>
<td align="left">Context is rarely formalised as an interpretive condition that shapes how disclosure is read.</td>
<td align="left">Introduces Policy Alignment Perception (PAP) as an institutional gate shaping sincerity attributions</td>
<td align="left">PAP captures perceived congruence with salient policy scripts under contested enforcement</td>
<td align="left">Grounds H6 by specifying moderation at the evaluation stage (PAP strengthens SSQ &#x2192; PA)</td>
<td align="left">Ding (<xref ref-type="bibr" rid="CIT0021">2020</xref>); Borha and Olujobi, (<xref ref-type="bibr" rid="CIT0008">2023</xref>).</td>
</tr>
<tr>
<td align="left">Multiactor supply chain governance</td>
<td align="left">Stakeholders are acknowledged but frequently analysed within dyads</td>
<td align="left">Heterogeneous evaluation criteria across buyers, suppliers, contractors, and regulators are under-modelled</td>
<td align="left">Uses a multiactor framing to treat signal reception as position-dependent evaluation</td>
<td align="left">Actor role conditions thresholds for SSQ and PAP when forming PA and ST</td>
<td align="left">Strengthens external validity of the full path model and supports role-sensitive inference</td>
<td align="left">Jia et al. (<xref ref-type="bibr" rid="CIT0040">2024</xref>); Budler et al. (<xref ref-type="bibr" rid="CIT0011">2024</xref>).</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Please see the full reference list of this article, Okeke, A. (2026). When transparency fails: Performative governance in emerging-market oil and gas supply chains. <italic>South African Journal of Business Management, 57</italic>(1), a5857. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajbm.v57i1.5857">https://doi.org/10.4102/sajbm.v57i1.5857</ext-link>, for more information.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s0007">
<title>Methodology</title>
<sec id="s20008">
<title>Research design</title>
<p>This study adopted a quantitative, cross-sectional, explanatory survey design to test a theory-driven process model of sustainability communication, authenticity attributions, trust formation and CW in an extractive-industry supply chain (Groves et al., 2009; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>). The design is positioned within a post-positivist logic that treats managerial perceptions as observable indicators of latent evaluative judgements that condition inter-organisational behaviour under information asymmetry (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). The unit of analysis is the organisational actor embedded in the Nigerian oil and gas supply network, with stakeholder role (buyer, supplier/contractor, regulator) treated as a grouping condition for comparative inference (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>). All focal constructs, SSQ, PAP, PA, ST, and CW, were modelled as reflective first-order latent variables, consistent with measurement theory when indicators are manifestations of an underlying attribute (Bollen, <xref ref-type="bibr" rid="CIT0007">1989</xref>; Jarvis et al., <xref ref-type="bibr" rid="CIT0039">2003</xref>).</p>
</sec>
<sec id="s20009">
<title>Sampling and data collection</title>
<p>The target population comprised sustainability, procurement and regulatory managers with direct responsibility for sustainability communication, compliance interpretation, and buyer&#x2013;supplier coordination in Nigeria&#x2019;s oil and gas sector (Kumar et al., <xref ref-type="bibr" rid="CIT0045">1993</xref>; Phillips, <xref ref-type="bibr" rid="CIT0057">1981</xref>). Participants were recruited across three stakeholder categories, buying organisations, suppliers or contractors and regulators, to align measurement with the study&#x2019;s multi-actor governance claims and to reduce single-role inference (Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>; Johnston et al., <xref ref-type="bibr" rid="CIT0041">1999</xref>). A purposive and referral-based strategy was used to reach qualified informants within stratified professional networks where formal sampling frames are incomplete, combining criterion-based selection with chain referral to access less visible contractors (Etikan et al., <xref ref-type="bibr" rid="CIT0024">2016</xref>; Sadler et al., <xref ref-type="bibr" rid="CIT0060">2010</xref>). Sampling lists were initiated from sector registers and professional associations, then cross-validated using professional profiles to support role and organisational authentication (Dillman et al., <xref ref-type="bibr" rid="CIT0020">2014</xref>; Groves et al., 2009). Data were collected via an online questionnaire administered in Qualtrics between May and July 2024, supplemented by verification follow-ups to confirm affiliation and improve data integrity in professional samples (Dillman et al., <xref ref-type="bibr" rid="CIT0020">2014</xref>; Fan &#x0026; Yan, <xref ref-type="bibr" rid="CIT0025">2010</xref>). After screening, 148 valid responses were retained, distributed across buyers (approximately 27&#x0025;), suppliers/contractors (approximately 54&#x0025;), and regulators (approximately 19&#x0025;), supporting role-based comparisons subject to measurement invariance (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>).</p>
</sec>
<sec id="s20010">
<title>Instrument development and operationalisation</title>
<p>Scale development followed established procedures for construct specification, item adaptation, expert appraisal, and pilot testing to secure content validity before model estimation (DeVellis, <xref ref-type="bibr" rid="CIT0017">2017</xref>; DeVellis &#x0026; Thorpe, <xref ref-type="bibr" rid="CIT0018">2021</xref>; MacKenzie et al., <xref ref-type="bibr" rid="CIT0047">2011</xref>). Items were adapted from peer-reviewed scales in supply chain transparency and sustainability disclosure, inter-organisational trust, and collaborative orientation, with contextual tailoring to regulatory agencies and compliance discourse in the Nigerian oil and gas value chain (Cao &#x0026; Lumineau, <xref ref-type="bibr" rid="CIT0012">2015</xref>; Nyaga et al., <xref ref-type="bibr" rid="CIT0054">2010</xref>; Wilhelm et al., <xref ref-type="bibr" rid="CIT0072">2016</xref>). Content validation used an expert panel of academics and practitioners to evaluate item relevance and wording fitness against construct definitions, consistent with recommended judgement-based validation routines (Lawshe, <xref ref-type="bibr" rid="CIT0046">1975</xref>; MacKenzie et al., <xref ref-type="bibr" rid="CIT0047">2011</xref>). A pilot test with sector professionals assessed comprehension, response patterns and completion burden, with revisions applied before full launch to reduce measurement error (DeVellis, <xref ref-type="bibr" rid="CIT0017">2017</xref>; Dillman et al., <xref ref-type="bibr" rid="CIT0020">2014</xref>). All items were measured on seven-point Likert-type response scales to support variance, discrimination and SEM estimation in organisational survey research (Dawes, <xref ref-type="bibr" rid="CIT0015">2008</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). Data screening removed cases with substantial missingness, patterned responding or failed attention checks, consistent with recommended practices for identifying low-effort survey responding in managerial samples (Huang et al., <xref ref-type="bibr" rid="CIT0037">2012</xref>; Meade &#x0026; Craig, <xref ref-type="bibr" rid="CIT0049">2012</xref>). Non-response bias was assessed by comparing early and late respondents, applying the standard late-respondent proxy logic used in survey research (Armstrong &#x0026; Overton, <xref ref-type="bibr" rid="CIT0005">1977</xref>; Groves et al., 2009). Common method variance risk was reduced through procedural remedies, including anonymity assurances and the separation of predictor and criterion blocks in questionnaires, consistent with widely cited guidance for behavioural survey designs (Dillman et al., <xref ref-type="bibr" rid="CIT0020">2014</xref>; Podsakoff et al., <xref ref-type="bibr" rid="CIT0058">2003</xref>). Statistical diagnostics included full collinearity VIF assessment for method bias in PLS settings, complemented by single-factor checks as a descriptive screen rather than definitive evidence (Kock, <xref ref-type="bibr" rid="CIT0044">2015</xref>; Podsakoff et al., <xref ref-type="bibr" rid="CIT0058">2003</xref>). Participation was voluntary, with electronic consent, and data were stored in restricted-access repositories in accordance with standard research governance expectations for organisational survey studies (Dillman et al., <xref ref-type="bibr" rid="CIT0020">2014</xref>; Groves et al., 2009).</p>
</sec>
<sec id="s20011">
<title>Estimation strategy</title>
<p>To avoid paradigm mixing and maintain internal consistency in inference, the study used PLS-SEM to estimate the moderated sequential mediation model as the primary method, while CB-SEM was reserved for a confirmatory sensitivity check using fit indices specific to covariance modelling (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). PLS-SEM estimation was conducted in SmartPLS 4 using nonparametric bootstrapping (5000 resamples) to obtain standard errors and confidence intervals for direct, indirect and interaction effects (Efron &#x0026; Tibshirani, <xref ref-type="bibr" rid="CIT0023">1993</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>). Measurement evaluation in PLS followed established thresholds for indicator loadings, composite reliability and average variance extracted to support internal consistency and convergent validity (Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>, <xref ref-type="bibr" rid="CIT0030">2021</xref>). Discriminant validity was assessed using the heterotrait&#x2013;monotrait ratio, given its diagnostic performance relative to legacy criteria in variance-based models (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0032">2015</xref>). Structural evaluation reported collinearity diagnostics, explained variance, effect sizes and predictive relevance metrics aligned with current PLS reporting norms, rather than importing regression diagnostics that do not inform PLS inference (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). Moderation was estimated via an interaction term in the structural model, and simple slope interpretation followed standard conditional-effect reporting conventions in SEM practice (Aiken &#x0026; West, <xref ref-type="bibr" rid="CIT0003">1991</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>). Sequential mediation was evaluated using bootstrapped indirect effects with bias-corrected confidence intervals, consistent with contemporary standards for mediation inference (Preacher &#x0026; Hayes, <xref ref-type="bibr" rid="CIT0059">2008</xref>; Zhao et al., <xref ref-type="bibr" rid="CIT0075">2010</xref>). Multigroup comparisons across buyers, suppliers or contractors, and regulators were preceded by measurement invariance testing using the MICOM procedure to avoid confounding group differences with measurement artefacts (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>). CB-SEM sensitivity estimation was implemented in analysis of moment structures (AMOS) to assess whether the principal substantive conclusions were stable under a covariance-based estimator, with model fit judged using established cut-offs for comparative fit index (CFI) and root mean square error of approximation (RMSEA) rather than PLS-oriented metrics (Hu &#x0026; Bentler, <xref ref-type="bibr" rid="CIT0036">1999</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>).</p>
</sec>
<sec id="s20012">
<title>Ethical considerations</title>
<p>Ethical clearance to conduct this study was obtained from the University of Cumbria Research Ethics Committee (Ref. No. UOC-ETHICS-2026-001).</p>
</sec>
</sec>
<sec id="s0013">
<title>Results</title>
<p>The final dataset comprised 148 valid responses, and the hypothesised moderated sequential mediation model was estimated using PLS-SEM as the primary estimator, with CB-SEM reserved for a confirmatory sensitivity check to avoid estimation-paradigm mixing and to separate prediction-oriented inference from covariance-fit evaluation (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>, <xref ref-type="bibr" rid="CIT0030">2021</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). Nonparametric bootstrapping with 5000 resamples was used to obtain standard errors and confidence intervals for direct, indirect and interaction effects (Efron &#x0026; Tibshirani, <xref ref-type="bibr" rid="CIT0023">1993</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Preacher &#x0026; Hayes, <xref ref-type="bibr" rid="CIT0059">2008</xref>). The analysis followed contemporary reporting conventions by progressing from measurement evaluation to structural estimation, and then to moderation, mediation and multigroup assessment (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0032">2015</xref>, <xref ref-type="bibr" rid="CIT0033">2016</xref>). All reflective constructs (<xref ref-type="table" rid="T0002">Table 2</xref>), SSQ, PAP, PA, ST and CW, satisfied internal consistency reliability and convergent validity thresholds used in variance-based SEM (Bollen, <xref ref-type="bibr" rid="CIT0007">1989</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>, <xref ref-type="bibr" rid="CIT0030">2021</xref>). Indicator loadings met the conventional 0.70 screening criterion, while Cronbach&#x2019;s alpha and composite reliability values exceeded recommended minima, and average variance extracted (AVE) values exceeded 0.50 for all constructs (Fornell &#x0026; Larcker, <xref ref-type="bibr" rid="CIT0026">1981</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>, <xref ref-type="bibr" rid="CIT0030">2021</xref>).</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Reliability and convergent validity statistics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Construct</th>
<th valign="top" align="center">Cronbach&#x2019;s <italic>&#x03B1;</italic></th>
<th valign="top" align="center">CR</th>
<th valign="top" align="center">AVE</th>
<th valign="top" align="center">No. of items</th>
<th valign="top" align="center">Range of loadings</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">SSQ</td>
<td align="center">0.88</td>
<td align="center">0.91</td>
<td align="center">0.66</td>
<td align="center">5</td>
<td align="center">0.74&#x2013;0.88</td>
</tr>
<tr>
<td align="left">PAP</td>
<td align="center">0.85</td>
<td align="center">0.90</td>
<td align="center">0.62</td>
<td align="center">4</td>
<td align="center">0.72&#x2013;0.85</td>
</tr>
<tr>
<td align="left">PA</td>
<td align="center">0.92</td>
<td align="center">0.94</td>
<td align="center">0.70</td>
<td align="center">5</td>
<td align="center">0.78&#x2013;0.90</td>
</tr>
<tr>
<td align="left">ST</td>
<td align="center">0.90</td>
<td align="center">0.93</td>
<td align="center">0.68</td>
<td align="center">5</td>
<td align="center">0.75&#x2013;0.89</td>
</tr>
<tr>
<td align="left">CW</td>
<td align="center">0.87</td>
<td align="center">0.91</td>
<td align="center">0.64</td>
<td align="center">4</td>
<td align="center">0.71&#x2013;0.88</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>SSQ, Sustainability Signalling Quality; PA, Perceived Authenticity; ST, Supplier Trust; CW, Collaborative Willingness; PAP, Policy Alignment Perception; CR, composite reliability; AVE, average variance extracted; No., number.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Discriminant validity (<xref ref-type="table" rid="T0003">Table 3</xref>) was assessed using both the Fornell&#x2013;Larcker criterion and the heterotrait&#x2013;monotrait ratio, with heterotrait-monotrait (HTMT) prioritised as the principal diagnostic given its performance properties in variance-based models (Fornell &#x0026; Larcker, <xref ref-type="bibr" rid="CIT0026">1981</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0032">2015</xref>). The square roots of AVE exceeded the corresponding inter-construct correlations, and all HTMT ratios remained below 0.85, supporting empirical distinctiveness among SSQ, PAP, PA, ST and CW (Fornell &#x0026; Larcker, <xref ref-type="bibr" rid="CIT0026">1981</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0032">2015</xref>). Collinearity diagnostics indicated no problematic multicollinearity, which is consistent with the use of full-collinearity variance inflation factor (VIF) screening in PLS contexts (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Kock, <xref ref-type="bibr" rid="CIT0044">2015</xref>; Podsakoff et al., <xref ref-type="bibr" rid="CIT0058">2003</xref>).</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Fornell&#x2013;Larcker and HTMT summary.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Constructs</th>
<th valign="top" align="center">SSQ</th>
<th valign="top" align="center">PAP</th>
<th valign="top" align="center">PA</th>
<th valign="top" align="center">ST</th>
<th valign="top" align="center">CW</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">SSQ</td>
<td align="center">&#x221A;AVE (0.81)</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">PAP</td>
<td align="center">0.47 (0.63)</td>
<td align="center">&#x221A;AVE (0.79)</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">PA</td>
<td align="center">0.61 (0.72)</td>
<td align="center">0.44 (0.65)</td>
<td align="center">&#x221A;AVE (0.84)</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">ST</td>
<td align="center">0.55 (0.69)</td>
<td align="center">0.41 (0.61)</td>
<td align="center">0.66 (0.74)</td>
<td align="center">&#x221A;AVE (0.82)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">CW</td>
<td align="center">0.48 (0.64)</td>
<td align="center">0.36 (0.58)</td>
<td align="center">0.59 (0.70)</td>
<td align="center">0.63 (0.75)</td>
<td align="center">&#x221A;AVE (0.80)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Model fit indices confirmed adequacy (standardised root mean square residual [SRMR] = 0.06, normed fit index [NFI] = 0.91). No multicollinearity issues were detected (VIFs &#x003C; 3.3).</p></fn>
<fn><p>SSQ, Sustainability Signalling Quality; PA, Perceived Authenticity; ST, Supplier Trust; CW, Collaborative Willingness; PAP, Policy Alignment Perception.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Structural paths (<xref ref-type="table" rid="T0004">Table 4</xref>) were estimated with 5000 bootstrap resamples, and all hypothesised direct effects were statistically supported in the predicted directions (Efron &#x0026; Tibshirani, <xref ref-type="bibr" rid="CIT0023">1993</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>). Sustainability Signalling Quality positively predicted PA (<italic>&#x03B2;</italic> = 0.67, <italic>t</italic> = 8.92, <italic>p</italic> &#x003C; 0.001), PA positively predicted ST (<italic>&#x03B2;</italic> = 0.71, <italic>t</italic> = 9.15, <italic>p</italic> &#x003C; 0.001) and ST positively predicted CW (<italic>&#x03B2;</italic> = 0.64, <italic>t</italic> = 7.83, <italic>p</italic> &#x003C; 0.001) (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Nyaga et al., <xref ref-type="bibr" rid="CIT0054">2010</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). The endogenous constructs exhibited substantial explained variance, with R<sup>2</sup> values of 0.52 for PA, 0.57 for ST, and 0.63 for CW, which is consistent with a model designed for prediction-oriented inference in complex inter-organisational settings (Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>, <xref ref-type="bibr" rid="CIT0030">2021</xref>; Shmueli et al., <xref ref-type="bibr" rid="CIT0063">2019</xref>).</p>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Direct and moderated structural paths (PLS-SEM).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Hypothesis</th>
<th valign="top" align="left">Statement</th>
<th valign="top" align="left">Path</th>
<th valign="top" align="center"><italic>&#x03B2;</italic></th>
<th valign="top" align="center"><italic>t</italic>-value</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="left">Supported</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">H1</td>
<td align="left">SSQ positively influences PA</td>
<td align="left">SSQ &#x2192; PA</td>
<td align="center">0.67</td>
<td align="center">8.92</td>
<td align="center">&#x003C; 0.001</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">H2</td>
<td align="left">PA positively influences ST</td>
<td align="left">PA &#x2192; ST</td>
<td align="center">0.71</td>
<td align="center">9.15</td>
<td align="center">&#x003C; 0.001</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">H3</td>
<td align="left">ST positively influences CW</td>
<td align="left">ST &#x2192; CW</td>
<td align="center">0.64</td>
<td align="center">7.83</td>
<td align="center">&#x003C; 0.001</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">H4</td>
<td align="left">PA mediates SSQ &#x2192; ST</td>
<td align="left">SSQ &#x2192; ST (indirect via PA)</td>
<td align="center">0.47</td>
<td align="center">6.22</td>
<td align="center">&#x003C; 0.01</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">H5</td>
<td align="left">ST mediates PA &#x2192; CW (sequential mediation)</td>
<td align="left">PA &#x2192; CW (indirect via ST)</td>
<td align="center">0.46</td>
<td align="center">5.98</td>
<td align="center">&#x003C; 0.01</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">H6</td>
<td align="left">PAP positively moderates SSQ &#x2192; PA</td>
<td align="left">SSQ &#x00D7; PAP &#x2192; PA (moderation)</td>
<td align="center">0.18</td>
<td align="center">2.06</td>
<td align="center">0.041</td>
<td align="left">Yes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>H, Hypothesis; SSQ, Sustainability Signalling Quality; PA, Perceived Authenticity; ST, Supplier Trust; CW, Collaborative Willingness; PAP, Policy Alignment Perception.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Mediation was evaluated using bias-corrected bootstrapped indirect effects (<xref ref-type="table" rid="T0004">Table 4</xref>), consistent with current mediation-inference standards that prioritise interval estimation over product-of-coefficients normal theory (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Preacher &#x0026; Hayes, <xref ref-type="bibr" rid="CIT0059">2008</xref>; Zhao et al., <xref ref-type="bibr" rid="CIT0075">2010</xref>). The indirect effect of SSQ on ST through PA was positive and significant (<italic>&#x03B2;</italic> = 0.47, 95&#x0025; CI [0.31, 0.62], <italic>p</italic> &#x003C; 0.01), supporting the theorised authenticity mechanism linking signalling properties to relational confidence (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>). The sequential indirect effect SSQ &#x2192; PA &#x2192; ST &#x2192; CW was also significant (<italic>&#x03B2;</italic> = 0.29, 95&#x0025; CI [0.17, 0.44], <italic>p</italic> &#x003C; 0.01), aligning with prior supply chain research that treats collaborative intent as a downstream behavioural orientation conditioned by trust (Nyaga et al., <xref ref-type="bibr" rid="CIT0054">2010</xref>; Preacher &#x0026; Hayes, <xref ref-type="bibr" rid="CIT0059">2008</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Zhao et al., <xref ref-type="bibr" rid="CIT0075">2010</xref>). Moderation was modelled via an interaction term, and the estimated SSQ &#x00D7; PAP effect on PA was positive and statistically supported (<italic>&#x03B2;</italic> = 0.18, <italic>t</italic> = 2.06, <italic>p</italic> = 0.041), indicating that higher perceived policy alignment strengthens the translation of signalling quality into authenticity attributions (Aiken &#x0026; West, <xref ref-type="bibr" rid="CIT0003">1991</xref>; Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>). This pattern is consistent with the view that receivers&#x2019; interpretive anchors condition credibility assessments when verification capacity and enforcement reliability are contested (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>). Measurement invariance was assessed using measurement invariance of composite models (MICOM) before multigroup comparisons across buyers, suppliers or contractors and regulators, supporting group comparability of composite scores and reducing the risk that observed differences reflect measurement artefacts (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>). Multigroup estimates (<xref ref-type="table" rid="T0005">Table 5</xref>) indicated that the moderation effect was strongest among regulators (<italic>&#x03B2;</italic> = 0.24, <italic>t</italic> = 2.21, <italic>p</italic> &#x003C; 0.05) and weakest among suppliers or contractors (<italic>&#x03B2;</italic> = 0.12, <italic>t</italic> = 1.48, <italic>p</italic> &#x003E; 0.10), while the core SSQ &#x2192; PA, PA &#x2192; ST, and ST &#x2192; CW links remained directionally stable across roles (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Henseler et al., <xref ref-type="bibr" rid="CIT0033">2016</xref>; Sarstedt et al., <xref ref-type="bibr" rid="CIT0061">2011</xref>).</p>
<table-wrap id="T0005">
<label>TABLE 5</label>
<caption><p>Multigroup path coefficients (partial least squares multigroup analysis).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Path</th>
<th valign="top" align="center">Buyers (<italic>&#x03B2;</italic>)</th>
<th valign="top" align="center">Suppliers (<italic>&#x03B2;</italic>)</th>
<th valign="top" align="center">Regulators (<italic>&#x03B2;</italic>)</th>
<th valign="top" align="left">Significant difference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">SSQ &#x2192; PA</td>
<td align="center">0.66</td>
<td align="center">0.63</td>
<td align="center">0.69</td>
<td align="left">No</td>
</tr>
<tr>
<td align="left">PA &#x2192; ST</td>
<td align="center">0.70</td>
<td align="center">0.68</td>
<td align="center">0.73</td>
<td align="left">No</td>
</tr>
<tr>
<td align="left">ST &#x2192; CW</td>
<td align="center">0.65</td>
<td align="center">0.62</td>
<td align="center">0.66</td>
<td align="left">No</td>
</tr>
<tr>
<td align="left">SSQ &#x00D7; PAP &#x2192; PA</td>
<td align="center">0.15</td>
<td align="center">0.12</td>
<td align="center">0.24</td>
<td align="left">Yes (regulators &#x003E; suppliers)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>SSQ, Sustainability Signalling Quality; PA, Perceived Authenticity; ST, Supplier Trust; CW, Collaborative Willingness; PAP, Policy Alignment Perception.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>CB-SEM estimation in AMOS served as a sensitivity check for the substantive conclusions, with fit assessed using covariance-model indices and established cut-offs, rather than importing variance-based fit claims into PLS reporting (Hu &#x0026; Bentler, <xref ref-type="bibr" rid="CIT0036">1999</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). The CB-SEM results indicated acceptable global fit (<italic>&#x03C7;</italic><sup>2</sup>/<italic>df</italic> = 2.34, CFI = 0.94, Tucker-Lewis index (TLI) = 0.93, RMSEA = 0.06, SRMR = 0.05), and the structural coefficients were directionally consistent with the PLS estimates (Hair et al., <xref ref-type="bibr" rid="CIT0030">2021</xref>; Hu &#x0026; Bentler, <xref ref-type="bibr" rid="CIT0036">1999</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). Procedural and statistical checks, including early&#x2013;late response comparisons, multivariate outlier screening, and method-bias diagnostics combining full-collinearity VIF with a single-factor screen, supported the integrity of inference for this cross-sectional survey design (Armstrong &#x0026; Overton, <xref ref-type="bibr" rid="CIT0005">1977</xref>; Groves et al., 2009; Kock, <xref ref-type="bibr" rid="CIT0044">2015</xref>; Podsakoff et al., <xref ref-type="bibr" rid="CIT0058">2003</xref>).</p>
</sec>
<sec id="s0014">
<title>Discussion and theoretical implications</title>
<p>Positioning PGT as this study&#x2019;s theoretical engine, this study&#x2019;s results show that sustainability governance in Nigeria&#x2019;s oil and gas supply chains is enacted through communicative performances that translate signal quality into relational order via authenticity and trust (Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Sutton &#x0026; Staw, <xref ref-type="bibr" rid="CIT0067">1995</xref>). Consistent with this mechanism-first framing, SSQ operates as the performative input, PA as the audience&#x2019;s evaluative test, ST as the relational governance state, and CW as the behavioural manifestation of enacted legitimacy (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). The SSQ &#x2192; PA result specifies a microfoundation for PGT by showing that audiences treat sustainability communication as a performance whose credibility is inferred from informational discipline and coherence rather than from disclosure volume alone (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Montecchi et al., <xref ref-type="bibr" rid="CIT0051">2019</xref>; Norris et al., <xref ref-type="bibr" rid="CIT0053">2024</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>). Within PGT, this relationship implies that signal &#x2018;quality&#x2019; is not merely a transmission feature but a governance resource because it structures the conditions under which audiences grant propriety and withhold suspicion in settings where verification is costly (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Gualandris et al., <xref ref-type="bibr" rid="CIT0028">2015</xref>; Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Von Berlepsch et al., <xref ref-type="bibr" rid="CIT0069">2024</xref>). Accordingly, the article advances PGT by moving from a general claim that governance can be performative to a testable mechanism that links communicative workmanship to legitimacy judgements that are consequential for inter-firm coordination (Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). The mediation PA &#x2192; ST shows that authenticity is the evaluative hinge through which performative signals become relational governance, thereby identifying a specific conversion point that has often remained assumed rather than evidenced in sustainability governance arguments (Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Norris et al., <xref ref-type="bibr" rid="CIT0053">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Von Berlepsch et al., <xref ref-type="bibr" rid="CIT0069">2024</xref>). In PGT terms, trust emerges when audiences treat sustainability communication as binding, because perceived sincerity reduces the likelihood that disclosed commitments are decoupled from operational practice, which is the central risk under contested sustainability claims (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Gualandris et al., <xref ref-type="bibr" rid="CIT0028">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Von Berlepsch et al., <xref ref-type="bibr" rid="CIT0069">2024</xref>). This trust mechanism is theoretically salient for supply chain scholarship because it reframes trust not as a dyadic &#x2018;good&#x2019; that precedes governance, but as a governance outcome generated by repeated performances that stabilise expectations across heterogeneous actors (Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Morgan &#x0026; Hunt, <xref ref-type="bibr" rid="CIT0052">1994</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Zaheer et al., <xref ref-type="bibr" rid="CIT0074">1998</xref>). The ST &#x2192; CW finding and the sequential SSQ &#x2192; PA &#x2192; ST &#x2192; CW pathway identify a performative governance chain through which communicative legitimacy becomes collective action, thereby grounding collaboration in enacted credibility rather than in contractual completeness (Brammer &#x0026; Walker, <xref ref-type="bibr" rid="CIT0010">2011</xref>; Sodhi &#x0026; Tang, <xref ref-type="bibr" rid="CIT0064">2019</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Walker &#x0026; Brammer, <xref ref-type="bibr" rid="CIT0070">2012</xref>; Zaheer et al., <xref ref-type="bibr" rid="CIT0074">1998</xref>). This pathway extends trust-based collaboration accounts by specifying that, in sustainability domains, collaboration is conditional on a prior sequence of interpretive acceptance, relational confidence and willingness to incur coordination costs in the absence of full monitoring (Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Gualandris et al., <xref ref-type="bibr" rid="CIT0028">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). In consequence, this study contributes to PGT by showing how performative legitimacy can &#x2018;scale&#x2019; from communication to coordination, converting micro-level evaluations into meso-level governance capacity within supply chains (Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Jia et al., <xref ref-type="bibr" rid="CIT0040">2024</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). The moderating role of PAP specifies the institutional script condition inside the PGT engine, showing that audiences treat sustainability performances as more believable when they are legible within prevailing public policy logics (Bitektine &#x0026; Song, <xref ref-type="bibr" rid="CIT0006">2023</xref>; Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). This moderation result implies that performative governance is not only a firm-level act but also an interpretive field process in which state priorities supply the vocabulary through which stakeholders evaluate sincerity and competence (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Norris et al., <xref ref-type="bibr" rid="CIT0053">2024</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>). The multigroup pattern, with stronger PAP effects among regulators than among suppliers, further supports an audience heterogeneity proposition within PGT, namely that institutional proximity shapes which aspects of a performance are treated as diagnostic for legitimacy (Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>). In Nigeria&#x2019;s petroleum governance setting, the interpretive weight placed on PAP is consistent with a policy environment in which the <italic>Petroleum Industry Act</italic> structures regulatory expectations and stakeholder scrutiny, making policy legibility a practical heuristic for judging whether sustainability performances are consequential or cosmetic (Borha &#x0026; Olujobi, <xref ref-type="bibr" rid="CIT0008">2023</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Norris et al., <xref ref-type="bibr" rid="CIT0053">2024</xref>; <italic>Petroleum Industry Act, <xref ref-type="bibr" rid="CIT0055">2021</xref></italic>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>). These implications meet the study&#x2019;s theory-first aim by demonstrating that performative governance in sustainability supply chains is an empirically tractable process in which communicative discipline (<xref ref-type="table" rid="T0006">Table 6</xref>), authenticity judgements, and policy-script legibility jointly produce trust and coordination under institutional volatility (Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Sutton &#x0026; Staw, <xref ref-type="bibr" rid="CIT0067">1995</xref>). Methodologically, this study&#x2019;s dual-estimation strategy strengthens inference by aligning predictive modelling with confirmatory model evaluation while maintaining reporting transparency, which responds to current expectations for replicable empirical claims in management and supply-chain research (Aguinis et al., <xref ref-type="bibr" rid="CIT0002">2018</xref>; Hair et al., <xref ref-type="bibr" rid="CIT0031">2019</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>). At the same time, the theorised mechanism is framed as a bounded causal account rather than a universal claim, which is appropriate for cross-sectional designs where endogeneity risks must be acknowledged and managed through design logic and diagnostic reasoning (Aguinis et al., <xref ref-type="bibr" rid="CIT0002">2018</xref>; Ketokivi &#x0026; McIntosh, <xref ref-type="bibr" rid="CIT0042">2017</xref>; Kline, <xref ref-type="bibr" rid="CIT0043">2023</xref>).</p>
<table-wrap id="T0006">
<label>TABLE 6</label>
<caption><p>What this study adds to performative governance theory.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Empirical regularity (supported hypotheses)</th>
<th valign="top" align="left">PGT mechanism specified</th>
<th valign="top" align="left">Theoretical yield for sustainability supply chains</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">SSQ &#x2192; PA (H1)</td>
<td align="left">Signal quality functions as a performative discipline that conditions legitimacy judgements</td>
<td align="left">Moves PGT from a general performativity claim to a microlevel evaluative test for sustainability performances (Connelly et al., <xref ref-type="bibr" rid="CIT0013">2011</xref>; Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Montecchi et al., <xref ref-type="bibr" rid="CIT0051">2019</xref>; Pflueger et al., <xref ref-type="bibr" rid="CIT0056">2024</xref>).</td>
</tr>
<tr>
<td align="left">PA &#x2192; ST (H2) and SSQ &#x2192; PA &#x2192; ST (H4)</td>
<td align="left">Authenticity is the hinge of conversion from performance to relational governance.</td>
<td align="left">Re-specifies trust as a governance outcome of accepted performances under verification constraints (Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Mazutis &#x0026; Slawinski, <xref ref-type="bibr" rid="CIT0048">2015</xref>; Mollenkopf et al., <xref ref-type="bibr" rid="CIT0050">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>; Von Berlepsch et al., <xref ref-type="bibr" rid="CIT0069">2024</xref>).</td>
</tr>
<tr>
<td align="left">ST &#x2192; CW (H3) and SSQ &#x2192; PA &#x2192; ST &#x2192; CW (H5)</td>
<td align="left">Trust is the performative stabiliser that enables coordinated action</td>
<td align="left">Grounds collaboration in enacted credibility and willingness to incur coordination costs, rather than in contract completeness (Brammer &#x0026; Walker, <xref ref-type="bibr" rid="CIT0010">2011</xref>; Budler et al., <xref ref-type="bibr" rid="CIT0011">2024</xref>; Sodhi &#x0026; Tang, <xref ref-type="bibr" rid="CIT0064">2019</xref>; Villena &#x0026; Gioia, <xref ref-type="bibr" rid="CIT0068">2018</xref>; Zaheer et al., <xref ref-type="bibr" rid="CIT0074">1998</xref>).</td>
</tr>
<tr>
<td align="left">PAP moderates SSQ &#x2192; PA (H6) and MGA heterogeneity</td>
<td align="left">Institutional scripts supply interpretive frames, with audience proximity shaping diagnostic cues</td>
<td align="left">Adds an audience heterogeneity proposition to PGT for policy-salient sectors, specifying when performances are treated as believable (Ding, <xref ref-type="bibr" rid="CIT0021">2020</xref>; Cornelissen et al., <xref ref-type="bibr" rid="CIT0014">2024</xref>; Haack et al., <xref ref-type="bibr" rid="CIT0029">2021</xref>; Song et al., <xref ref-type="bibr" rid="CIT0065">2024</xref>; Suddaby et al., <xref ref-type="bibr" rid="CIT0066">2017</xref>).</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Please see the full reference list of this article, Okeke, A. (2026). When transparency fails: Performative governance in emerging-market oil and gas supply chains. <italic>South African Journal of Business Management, 57</italic>(1), a5857. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajbm.v57i1.5857">https://doi.org/10.4102/sajbm.v57i1.5857</ext-link>, for more information.</p></fn>
<fn><p>H, Hypothesis; SSQ, Sustainability Signalling Quality; PA, Perceived Authenticity; ST, Supplier Trust; CW, Collaborative Willingness; PAP, Policy Alignment Perception; PGT, performative governance theory.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s0015">
<title>Conclusion</title>
<p>This study demonstrates that sustainability disclosure functions as performative governance in Nigeria&#x2019;s oil and gas supply chains because communicative performances shape legitimacy judgements that subsequently organise inter-firm conduct under information asymmetry and regulatory uncertainty. The findings support the hypothesised mechanism in which SSQ predicts PA, PA predicts ST, and ST predicts CW, indicating that collaboration is not an automatic consequence of disclosure but a staged outcome of evaluative and relational processes. The sequential indirect pathway SSQ &#x2192; PA &#x2192; ST &#x2192; CW further indicates that authenticity is the evaluative hinge through which sustainability performances become relational governance capacity and, in turn, cooperative intent. With PGT positioned as the article&#x2019;s sole theoretical engine, the results specify a bounded microprocess: signal workmanship conditions authenticity attributions, authenticity attributions stabilise trust, and trust enables actors to accept coordination costs and exposure. The moderating effect of PAP indicates that performances become more credible when they are legible within salient policy scripts, such that institutional coherence functions as an interpretive amplifier, strengthening the conversion of SSQ into PA. In Nigeria&#x2019;s petroleum governance setting, this is consistent with the proposition that perceived congruence with the <italic>Petroleum Industry Act</italic> and related policy priorities provides a pragmatic heuristic for judging whether sustainability performances are consequential or merely symbolic, particularly for regulators and other actors proximate to policy enforcement. Methodologically, the study contributes by implementing a transparent dual-estimation strategy, using PLS-SEM for prediction-oriented testing of moderated sequential mediation and CB-SEM as a confirmatory sensitivity check, alongside measurement evaluation and multigroup comparability procedures. Substantively, the results indicate that firms seeking supply-chain collaboration in institutionally volatile environments should treat sustainability communication as accountable performance, align disclosed priorities with policy scripts, and sustain consistency between claims, controls, and follow-through, because credibility is conferred through perceived sincerity and policy legibility rather than asserted through rhetoric alone. The findings of this study should be interpreted in the light of some limitations that define an agenda for further study. Firstly, the cross-sectional survey design limits causal inference and does not permit direct observation of how authenticity and trust judgements evolve as firms repeatedly signal. Secondly, reliance on perceptual measures introduces the possibility of common method effects and social desirability bias, even when diagnostics suggest acceptable levels, and this remains a generic constraint in survey-based sustainability research. Thirdly, the sample size and single-sector, single-country setting support mechanism testing but constrain external generalisation to other industries, governance regimes and sustainability issue domains. Fourthly, the model focuses on communicative and perceptual mechanisms and does not incorporate independent, fine-grained verification of underlying sustainability performance, thereby allowing stronger discrimination between substantive commitment and strategically framed disclosure. Future research should therefore prioritise longitudinal and event-based designs that track signalling sequences, policy shifts and trust recalibration, including tests of whether shocks to regulatory credibility or enforcement intensity strengthen or weaken the SSQ &#x2192; PA &#x2192; ST &#x2192; CW chain. Comparative work across sectors and jurisdictions should examine whether PAP operates similarly where policy scripts are less salient, more stable or contested across agencies, and should assess whether audience-position heterogeneity generalises beyond regulators to community stakeholders, financiers and civil society intermediaries. Multi-method studies that combine survey inference with objective disclosure audits, third-party assurance data, contracting records, and observed collaboration outcomes would strengthen construct validity and reduce dependence on a single source. Finally, research should extend the performative governance mechanism into digital contexts by examining how platform-mediated transparency tools, algorithmic scrutiny, and real-time reporting architectures reshape authenticity attribution, trust formation, and collaboration decisions in supply chains characterised by institutional fragility.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20016" sec-type="COI-statement">
<title>Competing interests</title>
<p>The author declares that no financial or personal relationships inappropriately influenced the writing of this article.</p>
</sec>
<sec id="s20017">
<title>CRediT authorship contribution</title>
<p>Augustine Okeke: Conceptualisation, Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. The author confirms that this work is entirely their own, has reviewed the article, approved the final version for submission and publication, and takes full responsibility for the integrity of its findings.</p>
</sec>
<sec id="s20018" sec-type="data-availability">
<title>Data availability</title>
<p>The data that support the findings of this study are available on request from the corresponding author, Augustine Okeke.</p>
</sec>
<sec id="s20019">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the author and are the product of professional research. They do not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The author is responsible for this article&#x2019;s results, findings, and content.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Okeke, A. (2026). When transparency fails: Performative governance in emerging-market oil and gas supply chains. <italic>South African Journal of Business Management, 57</italic>(1), a5857. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajbm.v57i1.5857">https://doi.org/10.4102/sajbm.v57i1.5857</ext-link></p></fn>
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