Supply chain security certification and operational performance: The role of upstream complexity

Tong, Xun; Lai, Kee‐hung; Lo, Chris K.Y.; Cheng, T. C. E.

doi:10.1016/j.ijpe.2022.108433

Cited by 23 publications

(10 citation statements)

References 67 publications

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“…One of the most frequently utilized theories employed in these studies is organizational information processing theory (Galbraith, 1973), which proposes that the heightened information demands resulting from SNC can be mitigated by adopting practices that either absorb uncertainty or enhance information processing capacity (Aitken et al, 2016;Brandon-Jones et al, 2015). Furthermore, a handful of studies experiment with the application of unconventional theories, such as signaling theory (Tong et al, 2022), fluid dynamics (Romano, 2009), and attention-based view, that align with unique research questions. Some studies even amalgamated multiple theories to investigate contrasting performance effects, such as comparisons between resource-based theories and transaction-cost economics (e.g.…”

Section: Theory Use In Snc Researchmentioning

confidence: 99%

“…Although mixed findings are provided on SNC's direct effect on business performance, studies examining SNC's moderating role largely demonstrate a positive impact. These typically consider SNC to be a contextual factor justifying substantial investments in advanced and innovative practices (Fianko et al, 2023), such as lean purchasing/operations (Azadegan et al, 2013), supply chain security certification (Tong et al, 2022), and blockchain applications (Xiong et al, 2021). Conversely, Dong et al (2020) suggest that SNC can also exert a negative moderating effect on the relationship between supply base R&D intensity and financial performance.…”

Section: Snc and Business Performancementioning

confidence: 99%

“…Interestingly, we observe that although they generally utilize theory to a moderate extent to investigate implications on business performance, a few studies built upon less commonly employed theories in SNC research. For example, Tong et al (2022) utilized signaling theory to examine the relationship between SNC and supply chain security certification. Additionally, DeCampos et al ( 2022) offered an excellent illustration by adopting the RBV perspective, arguing that a large supply base can be considered a valuable "resource."…”

Section: Snc and Business Performancementioning

confidence: 99%

“…Furthermore, a handful of studies experiment with the application of unconventional theories, such as signaling theory (Tong et al., 2022), fluid dynamics (Romano, 2009), and attention‐based view , that align with unique research questions. Some studies even amalgamated multiple theories to investigate contrasting performance effects, such as comparisons between resource‐based theories and transaction‐cost economics (e.g.…”

Section: Theory Use In Snc Researchmentioning

confidence: 99%

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Untying the Gordian knot: A systematic review and integrative framework of supply network complexity

Ateş,

Luzzini

2023

J of Business Logistics

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The escalating complexity of supply networks is undeniable, and organizations grapple with myriad globally dispersed suppliers spanning diverse industries and operating amid volatility and uncertainty while having multifaceted interactions. In line with this, scholars have been investigating supply network complexity (SNC) for over two decades, yet the domain is not converging; definitions and operationalizations are varied, a multiplicity of theoretical perspectives exists, performance implications are inconclusive, and supply chain managers are certainly still struggling with the complexity of their supply networks. To address this critical gap, we conducted a rigorous systematic review of 116 articles and synthesized the extant research in a comprehensive nomological network of SNC. Our synthesis encompasses the following key aspects: (i) defining (sub)dimensions of SNC by reconciling diverse conceptualizations, (ii) elaborating on the direct and contingent effects of SNC by highlighting underlying mechanisms and relevant theories, (iii) identifying antecedents of SNC, and (iv) introducing a detailed categorization of SNC management practices and illustrating SNC management capability as an antecedent of such practices. We conclude by presenting an extensive research agenda illustrating the gaps in the literature and charting a path forward in relation to different themes, theories, and methods.

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Section: Theory Use In Snc Researchmentioning

confidence: 99%

Section: Snc and Business Performancementioning

confidence: 99%

Section: Snc and Business Performancementioning

confidence: 99%

Section: Theory Use In Snc Researchmentioning

confidence: 99%

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Untying the Gordian knot: A systematic review and integrative framework of supply network complexity

Ateş,

Luzzini

2023

J of Business Logistics

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“…Supply chains are always complex (Ozdemir et al, 2022) in part because they require businesses to seek effective ways to address multiple sustainability challenges at various upstream and downstream levels and to meet the needs of each individual business (Tong et al, 2022) while simultaneously making improvements to increase the overall sustainability performance of the entire supply chains (Lavassani et al, 2022). However, in globalizing the SSCM, processes are becoming more complex and dynamic but also vulnerable (Bui et al, 2021;Albastaki et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Risks of data-driven technologies in sustainable supply chain management

Özkan-Özen

Sezer

Özbiltekin-Pala

et al. 2022

MEQ

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PurposeWith the rapid change that has taken place with digitalization and data-driven approaches in supply chains, business environment become more competitive and reaching sustainability in supply chains become even more challenging. In order to manage supply chains properly, in terms of considering environmental, social and economic impacts, organizations need to deal with huge amount of data and improve organizations' data management skills. From this view, increased number of stakeholders and dynamic environment reveal the importance of data-driven technologies in sustainable supply chains. This complex structure results in new kind of risks caused by data-driven technologies. Therefore, the aim of the study to analyze potential risks related to data privacy, trust, data availability, information sharing and traceability, i.e. in sustainable supply chains.Design/methodology/approachA hybrid multi-criteria decision-making (MCDM) model, which is the integration of step-wise weight assessment ratio analysis (SWARA) and TOmada de Decisao Interativa Multicriterio (TODIM) methods, is going to be used to prioritize potential risks and reveal the most critical sustainability dimension that is affected from these risks.FindingsResults showed that economic dimension of the sustainable supply chain management (SSCM) is the most critical concept while evaluating risks caused by data-driven technologies. On the other hand, risk of data security, risk of data privacy and weakness of information technology systems and infrastructure are revealed as the most important risks that organizations should consider.Originality/valueThe contribution of the study is expected to guide policymakers and practitioners in terms of defining potential risks causes by data-driven technologies in sustainable supply chains. In future studies, solutions can be suggested based on these risks for achieving sustainability in all stages of the supply chain causes by data-driven technologies.

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Maritime Logistics

Lai,

Yang

2023

The Palgrave Handbook of Supply Chain Management

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Supply chain security certification and operational performance: The role of upstream complexity

Cited by 23 publications

References 67 publications

Untying the Gordian knot: A systematic review and integrative framework of supply network complexity

Untying the Gordian knot: A systematic review and integrative framework of supply network complexity

Risks of data-driven technologies in sustainable supply chain management

Maritime Logistics

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