Citation
Jia, F.(J)., Seuring, S., Chen, L. and Azadegan, A. (2024), "Guest editorial: Supply chain transparency: opportunities, challenges and risks", International Journal of Operations & Production Management, Vol. 44 No. 9, pp. 1525-1538. https://doi.org/10.1108/IJOPM-09-2024-992
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited
1. Introduction
With increasing pressure from consumers, regulatory bodies and capital markets, firms are being compelled to disclose more information about their products and supply chains (SCs) (Menon and Jain, 2024; Wang et al., 2024; Zheng et al., 2024). Moreover, it has become a hot topic to investigate the impact of social and environmental performance on the long-term development of firms (Chen et al., 2021; Gualandris and Kalchschmidt, 2016; Xu et al., 2023). Supply chain transparency (SCT), a critical aspect of sustainable practices, is receiving increasing attention from the academic community (Carter and Rogers, 2008; Morgan et al., 2023). Moreover, a number of companies have already initiated practices for SCT. For example, Nike, a leading global manufacturer of sports shoes and apparel, launched a project called Manufacturing Map, which allows consumers to view the manufacturing locations of Nike products, as well as information on labor standards and environmental impact (Nike, 2024). The renowned Spanish fashion brand Mango has made its list of third-tier manufacturers available online, offering consumers a transparent view of the brand’s efforts towards sustainability (Mango, 2022).
It is crucial for firms to improve SCT. Specifically, SCT can convey positive signals to stakeholders, facilitating financing behavior (Shi et al., 2024), deepening partnerships (Baharmand et al., 2021; Besiou and Van Wassenhove, 2020) and enhancing overall performance (Jia et al., 2023). Furthermore, SCT enhances an organization’s capacity for risk identification and management (Dubey et al., 2019). For example, by enhancing the visibility of the upstream operations within the SC, firms can gain a clearer understanding of the entire SC’s functioning (Sadeghi et al., 2023). This, in turn, enables them to devise proactive strategies aimed at reducing the likelihood of disruptions and mitigating the adverse impact of such disruptions on business operations (Tang, 2006). Moreover, SCT contributes to advancing sustainable firm practices (Dahlmann et al., 2023; Kalkanci and Plambeck, 2020) and mitigating information asymmetry (Lamming et al., 2001; Sadeghi et al., 2022).
Transparency is generally considered a valuable trait; however, in SCs and upstream operations, maintaining confidentiality is equally critical. According to Bai and Sarkis (2020), implementing SCT requires firms to disclose their complex, multi-layered SC information, including raw material procurement, production processes, SC operations, partnerships and environmental protection measures. Therefore, pursuing SCT may lead to negative consequences, such as increased competition, reputation damage and legal and regulatory risks (Liu et al., 2024; Sodhi and Tang, 2019).
The purpose of this editorial is to summarize key themes in current SCT research. Then, we synthesize these key themes into a structured framework, which will offer meaningful reference for the subsequent research. Finally, we provide a few unique insights into the gaps and directions for future research.
2. A research framework for SCT
To pinpoint the critical issues in SCT research, identify new contributions and determine future directions in the field, we have classified the existing literature on SCT. Subsequently, we design a comprehensive research framework that addresses four key questions, as illustrated in Figure 1. The framework consists of antecedents, practices, outcomes and challenges. Therefore, the following questions guide the logic:
What are the main factors affecting SCT?
What are the main aspects of SCT practices?
What challenges impede firms while improving SCT?
What are the outcomes of SCT for firms?
What risks do firms encounter when improving SCT?
2.1 Influencing factors
The demand for SCT has been driven by the concerns of stakeholders (Sodhi and Tang, 2019; Wang et al., 2024) and the normative pressures of regulations (Budler et al., 2024). Firms’ disclosure is a crucial component of SCT, yet the extent of such disclosure is a highly subjective decision (Gardner et al., 2019). In the existing literature, various factors affecting SCT have been identified.
The structure of the SC network is pivotal in either promoting or constraining SCT (Dubey et al., 2020). Gualandris et al. (2021) examine the relationship between SCT and SC structure characterized by interconnectivity and heterogeneity. Their research reveals a positive correlation between SC density and transparency, as well as between geographical heterogeneity and transparency. At the node level of the SC network, relational embeddedness fosters information sharing among SC members, thereby enhancing SCT. Feng et al. (2024) discover that supplier concentration positively impacts SCT. In addition, the relative position of firms in different SCs also affects their transparency performance, especially the “hub firms” that play key roles in multiple SCs. These hub firms often need to maintain a high level of transparency in different business relationships to facilitate the management and coordination of complex transaction networks.
Given today’s volatility, uncertainty, complexity and ambiguity of the business environment (what is labeled as VUCA), it can be challenging for firms to achieve the required level of SCT for optimal business performance. Specifically, according to the dynamic capability theory, a firm’s external environment has a decisive impact on its SC strategy, thereby affecting the extent of its information disclosure, and is moderated by internal and external environmental factors such as online media reports, government environmental subsidies and industrial competition intensity (Qrunfleh and Tarafdar, 2014; Wang et al., 2024). Moreover, various stakeholders have diverse demands for a firm’s SCT. For instance, carbon transparency in greenhouse gas emissions from the SC is a result of complex interactions among normative, mimetic and coercive pressures (Tuladhar et al., 2024). Similarly, while firms need to disclose their information openly, they also need to maintain their legitimacy by achieving their sustainable development goals. Therefore, firms must balance and carefully manage the tension between these two aspects (Dahlmann et al., 2023).
Another essential factor contributing to the current widespread attention on SCT is the emergence of necessary technologies to support transparency (Bai and Sarkis, 2020). Digital technologies have sparked a revolutionary transformation in the field of SC management. Digital technologies can assist organizations in capturing, representing and analyzing complex SC operations (Budler et al., 2024; Xu et al., 2023). Specifically, through digital technologies such as Internet of Things (IoT) (Feng et al., 2020), digital twins (e.g. cloud computing and big data analytics) (Freese and Ludwig, 2024), Radio Frequency Identification (RFID) (Heese, 2007) and 5G wireless (Morgan et al., 2023), firms may better reach real-time data collection, intelligent analysis and simulation capabilities. Consequently, the deployment of these technologies assists firms in overcoming multi-level information barriers within the SC (Bai and Sarkis, 2020; Keller et al., 2021) and ensuring the accuracy and credibility of full-chain information sharing (Feng et al., 2024). For instance, techniques such as data mining and network analysis can assist researchers in extracting valuable information from vast amounts of data, revealing potential connections within the SC network (Feng et al., 2024). Finally, AI and machine learning technologies can augment firm operations through automation, thereby enhancing efficiency and transparency (Zheng et al., 2024).
Blockchain refers to a shared distributed ledger where transactions are digitally recorded and linked in a chain containing the entire history or provenance of an asset (Baharmand et al., 2021). It promotes SCT and traceability through its key attributes of traceability, immutability, auditability and provenance (Menon and Jain, 2024; Saurabh and Dey, 2021; Tuladhar et al., 2024). Smart contracts, one of the most notable innovations in blockchain technology, facilitate the automation of business processes and include member information within the upstream and downstream SC (Ahmed et al., 2022). Through this information flow, firms can achieve product traceability, goods location tracking, storage condition monitoring and compliance verification (Menon and Jain, 2024). Moreover, blockchain applications encompass interoperability with various Industry 4.0 technologies (Dolgui and Ivanov, 2022; Li et al., 2023).
2.2 SCT practices
Within the existing literature, terms such as disclosure, visibility, traceability and openness are often used synonymously with SCT, leading to ambiguity in key concepts. This ambiguity may lead to a lack of clear direction and objectives when implementing SCT practices (Keller et al., 2021). Furthermore, this inconsistency poses challenges in comparing and integrating research findings on SCT (Morgan et al., 2023). To avoid confusion and promote a consistent understanding of SCT, we clarify these terms based on previous literature (Table 1).
Attributes such as visibility, traceability, openness and disclosure are intertwined, collectively forming the fundamental concept of SCT and guiding its practical implementation (Gualandris et al., 2021; Montecchi et al., 2021). First, SCT practices are manifested in the proactive disclosure of relevant information and information sharing (Sodhi and Tang, 2019). For instance, Sadeghi et al. (2022) find that supplier disclosures through buyer’s monitoring of business continuity and operations performance can lead to improved performance by the buyer. Such disclosures facilitate real-time information flow, encompassing order status, inventory levels, production progress and SC risk information, which is essential for achieving SCT (Dubey et al., 2020).
Second, it is crucial to ensure that each link in the SC has adequate visibility and traceability, thereby enabling the entire operational process of the SC to be tracked and recorded (Ahmed et al., 2022; Keller et al., 2021; Tuladhar et al., 2024). Regarding visibility, it actually involves multiple levels, determined by the quantity and quality of information shared within the SC (Barratt and Oke, 2007). Therefore, to enhance SC visibility, the key lies in widely sharing useful and meaningful information. This enables firms to gain a deeper understanding of the state of the SC, thereby enhancing its resilience and efficiency. Traceability encompasses two distinct aspects: tracking and tracing. Tracking refers to identifying the source and characteristics of a specific product, including supplier names, methods of material procurement and place of origin (Cousins et al., 2019; Garcia-Torres et al., 2019). On the other hand, tracing necessitates the compilation of a historical record of the product’s movement within the SC. However, some firms only disclose how they ensure product sourcing without revealing supplier names or other specific details. Patagonia faced criticism for its inhumane treatment of geese, which violates the responsible down standard (DesMarais, 2014). Subsequently, the company developed a “traceable” initiative to ensure tracing its upstream sources back to the farm (Sodhi and Tang, 2019). The Patagonia example highlights how firms may need to respond to social and consumer concerns through SCT practices when confronted with ethical and environmental responsibilities.
Third, to ensure the availability, integration and sharing of SC data, it is crucial to establish a unified data standard and platform (Dolgui and Ivanov, 2022). Such a unified platform and standard help to eliminate information silos and facilitate effective communication among participants. Furthermore, it promotes collaborative work throughout the SC, thereby improving operational efficiency. As a result, with greater transparency and accessibility of information, new participants can more easily join the SC and collaborate with existing participants. This helps to attract more innovation and resources into the SC, further enhancing its openness.
In summary, SCT practices involve a series of measures adopted by firms in SC management, such as disclosing, sharing and tracking relevant information and data within the SC. These practices aim to enhance the visibility and openness of the SC (Budler et al., 2024). Within this framework, firms not only comply with regulatory requirements through information disclosure, but also build a transparency ecosystem to foster trust and collaboration among stakeholders (Montecchi et al., 2021).
2.3 Challenges
While digital technologies offer opportunities for SCT, they still face challenges in their implementation and utilization in facilitating SCT (Morgan et al., 2023). Specifically, many firms utilize disparate systems and software in SC management. These systems may not be compatible or difficult to integrate, resulting in data silos and information gaps (Kalaiarasan et al., 2022). Consequently, integrating data from these diverse IT solutions and ensuring they are correctly mapped to corresponding data fields becomes a critical challenge (Agrawal et al., 2024). Moreover, SCT practices require certain fixed costs, such as those associated with technology infrastructure and data processing. The deployment of advanced digital technologies demands substantial initial investments (Feng et al., 2020). For small and medium-sized firms, these financial commitments can be difficult to afford, particularly when resources are limited.
The implementation of SCT practices by firms is limited by data availability (Cousins et al., 2019; Xu and Jackson, 2019). There is a lack of information about SC operations beyond first-tier suppliers, especially for indirect suppliers and downstream links in the SC (Dou et al., 2018; Tokkozhina et al., 2023). The reasons primarily lie in the vast number of suppliers, their global distribution and their reluctance to share information, as well as issues with the quality of information (Sodhi and Tang, 2019).
Parties involved in the SC often need to share sensitive information to achieve transparency (Chen et al., 2022; Lamming et al., 2005). However, balancing information security and effective sharing remains a major hurdle. This is not to undermine the issues of trust. Information sharing with other parties across the SC requires trust in the fact that the information is not used to diminish one’s competitive advantage (i.e. will my supplier use my information to become my competitor?), security concern (i.e. will my buyer be able to protect my information so it does not fall in the hands of bad actors?) and power issues (i.e. will my buyer leverage my information against me in future contracts?).
The SC involves multiple stages, including production, procurement, logistics and sales to achieve transparency in the SC, it is imperative to collect and integrate data from these various stages. Given the multitude of data sources and varying formats, ensuring data accuracy and reliability poses a significant challenge (Dahlmann et al., 2023; Dou et al., 2018; Gardner et al., 2019). In the era of misinformation, transparency may no longer serve as a robust mechanism supporting the sustainable development of SCs, but rather becomes a required strategy (Mol, 2015). Specifically, the phenomena of information overload and distortion lead to key information often being overshadowed, the spread of false information and a weakening of the practical utility of transparency (Sodhi and Tang, 2019). Concurrently, the proliferation of information also gives rise to issues of data pollution and information distortion, further impeding the effective implementation of transparency. Most fundamentally, the absence of legitimate information verification agencies makes it challenging to ensure the authenticity and authority of information, thereby significantly diminishing the role of transparency in driving the development of SCs (Agrawal et al., 2024; Kalaiarasan et al., 2022).
2.4 Outcomes
Researchers have explored the positive effects of SCT. Firstly, information asymmetry can lead to SC instability, impacting the overall performance of firm (Bai and Sarkis, 2020; Besiou and Van Wassenhove, 2020). SCT contributes to mitigating information asymmetry within the SC. For instance, when organizations share information typically reserved internally with SC partners (e.g. detailed product costs or procurement information), it improves SC efficiency and establishes a relationship of mutual trust (Azadegan et al., 2020a; Lamming et al., 2001; Sadeghi et al., 2022). Consequently, SC managers can enhance SCT by promoting information sharing, visibility, traceability and transmission verification (Song et al., 2023).
Based on signaling theory, SCT serves as a positive integrity signal, providing investors and other external stakeholders with a more comprehensive view of the firm (Jia et al., 2023). SCT can expand market potential (Guan et al., 2020), hedge against operational failure risks (Mollenkopf et al., 2022) and improve a firm’s negative image (Awaysheh and Klassen, 2010; Azadegan et al., 2020b). Specifically, to enhance consumer awareness and trust in product value (Montecchi et al., 2021), it is necessary to disclose information on the origin and quality of raw materials (Saberi et al., 2019), the firm’s sustainable activities (Dubey et al., 2020; Shi et al., 2024) and its commitment to corporate social responsibility (Awaysheh and Klassen, 2010). This public disclosure of information facilitates consumers’ deeper understanding of products, thereby influencing their purchasing decisions. This is not to undermine the organizational learning that occurs as a result of SCT. Indeed, expectations of transparency require firms to dive deeper into their operations and practices and unfold activities and practices that they may not have had a clear understanding of. Following organizational learning and information processing theory, expectations of transparency are bound to enhance firm knowledge (Azadegan et al., 2019, 2020a).
SCT is considered one of the main supports for sustainable SC management (Carter and Rogers, 2008). It enables firms to understand the overall impact of their SC activities and facilitates environmental, social and governance (ESG) sustainable initiatives (Kalkanci and Plambeck, 2020). Dahlmann et al. (2023) note that as firms accumulate experience and refine practices in SCT management, scope 3 emissions are expected to decrease relatively. Jia et al. (2023) emphasize the importance of information transparency in promoting collaboration and sustainability performance. Similarly, Cousins et al. (2019) argue that a high level of SC traceability can significantly promote green SC management practices, thereby improving the sustainability of the SC.
Finally, the disclosure of SC information CCS positive spillover effects throughout the entire SC. Specifically, the disclosure of customer information, combined with the customer’s accounting information, aids in uncovering potential earnings fraud by suppliers (Li et al., 2023). Additionally, ESG disclosures from upstream suppliers and sub-suppliers have a positive impact on the transparency of the entire extended network. This indicates that every link in the SC contributes to the overall network’s transparency (Feng et al., 2024).
2.5 Risks
Although building consumer trust is a key motivation for transparency, the associated costs and risks of providing relevant and accurate information should not be overlooked (Marquis et al., 2016; Sodhi and Tang, 2019). Proprietary costs refer to the expenses associated with improper disclosure, including reputation loss fees, legal litigation and regulatory compliance costs (Li et al., 2018). Research suggests that suppliers are more likely to conceal mandatory disclosure information when major clients require protection of proprietary information Chen et al. (2022).
A potential constraint on full disclosure is that certain disclosures may harm a firm’s competitive position in its product market (Li et al., 2018). Even if a firm is willing to disclose information, it still needs to protect its commercial interests (Gardner et al., 2019). Specifically, in a highly competitive business environment, firms often possess unique products, technologies or business strategies that form the basis of their competitive advantage (Budler et al., 2024). Excessive disclosure of details may provide competitors with critical information, enabling them to imitate or surpass the firm’s products or services (Lamming et al., 2005).
Moreover, if a firm discloses sensitive information related to its SC, technology partners, or customers, it may have a negative impact on its business relationships, potentially leading to the loss or change of partners. This is because partners may fear that their proprietary information, trade secrets and even personal data could be disclosed to unrelated third parties (Lamming et al., 2005). Such disclosures diminish partner trust and customer loyalty toward the firm, thereby undermining the continuity and stability of business development and partnerships (Chen et al., 2022).
Publicly disclosed SC information may involve contract fulfillment and confidentiality obligations. Consequently, this could potentially lead to contractual disputes and liability for breach of contract. Furthermore, if the disclosed information involves personal data or privacy issues, the firm may violate data protection regulations, facing the risk of substantial fines and legal action. Additionally, SC disclosure may trigger legal responsibilities, particularly in issues involving the environment, labor rights and human rights (Sodhi and Tang, 2019). If a firm engages in illegal activities or breaches ethical standards, it may face reputational damage and penalties from regulatory authorities (Chen et al., 2019).
Finally, SCT practices can lead to negative consumer reactions toward unethical firms (Birkey et al., 2018; Sodhi and Tang, 2019). Moreover, through the information disclosed by firms, both government and non-governmental organizations can pinpoint instances where corporate entities have violated social and environmental standards (Chen et al., 2019). For example, fashion retailer H&M published a SCT report in 2022, listing the origins of various materials used in clothing manufacturing (H&M, 2020). However, some consumers and environmental groups discovered that some of H&M’s suppliers did not comply with international labor standards. This negative news led to a decline in consumer trust towards H&M, even sparking a boycott movement. Therefore, it is particularly important to meticulously address complex issues within the SC, ensuring that the disclosure of information does not tarnish the brand image of the firm or erode consumer trust.
3. Future research directions
Through a review of past and current research, we have identified several research directions worthy of further attention. The theme of how to promote SCT practices through internal and external factors – such as SC structure, digital technology and distinct concept – still has many answers to be found and even more questions to be posed. These all constitute the future research agenda in the field of SCT.
3.1 Examining the impact of SC design on SCT
We encourage more research to explore the impact of SC design on SCT. There is notable discord among studies on how firm positioning affects transparency. Gualandris et al. (2021) find that “hub firms” occupying key positions in multiple SCs exhibit higher transparency. Others suggest that higher-tier suppliers in the SC typically have greater control and influence, thus being more adept at promoting transparency (Bush et al., 2013; Villena and Gioia, 2018). Some findings suggest that lower-tier supplier firms may encounter more challenges in transparency due to constraints from upper entities (Mol, 2015). We believe this is an important matter to explore. Future studies should investigate how a firm’s position within and between SCs affects SCT.
In addition, there is a need for the examination of the relationship between SC design and transparency in different economic, social and cultural contexts. For example, does this relationship vary across industries? Does it differ based on geographical regions? It is necessary to analyze the reasons for these differences and explore how to develop effective SCT management strategies for firms in different contexts.
3.2 Achieving SCT in multi-tier networks
Given the constrained access to information by firms concerning their suppliers and customers, achieving SCT in a comprehensive and expansive SC network presents a significant challenge (Khan et al., 2021). Nevertheless, it is crucial to understand the flow of information and key participants within each link of the SC (Tokkozhina et al., 2023). It facilitates firms to effectively identify potential risks and opportunities in SCs. Consequently, future research could delve into exploring and appraising the SCT in complex multi-tiered supplier and customer networks (Feng and Zhu, 2024). It may be insightful to explore the role of intermediaries or third-party auditors in promoting cross-tier SCT, as well as the potential of standardization or certification processes to simplify information sharing.
Relevant methodologies, such as quantitative surveys, qualitative analysis, or case studies, can be employed by researchers to investigate the topic (Agrawal et al., 2024). In quantitative surveys, researchers can explore transparency within the complex structure of the SC through the utilization of questionnaires, statistical analysis and model development. Moreover, case studies involve in-depth field observations and interviews, allowing researchers to understand the structure and relationships within multi-level SC networks, thereby providing a more comprehensive evaluation of transparency levels. Future research can investigate how information and communication technology tools can further enhance the depth of transparency research within complex SC networks.
3.3 Exploring the contribution of SCT to firm value
It is important to understand the contribution of SCT to firm value. Recently, Mollenkopf et al. (2022) discuss how the positive signals of SCT can protect firms from the negative effects of product recall signals. However, the positive impact of SCT is not unconditional. Mol (2015) points out that its effectiveness depends on specific factors, such as accessibility of information and recipients’ comprehension. Further research could investigate under what circumstances SCT can yield positive outcomes and quantitatively analyze the extent to which SCT adds value to firms. For example, how can management costs, stakeholder pressures and the quality of information disclosure be balanced to achieve an optimal level of SCT? Additionally, how do the interests of various parties interact and influence a firm’s decisions regarding SCT? Addressing these questions can help us gain a deeper understanding of the contribution of SCT to firm value.
3.4 Assessing the negative aspects of SCT
The current research primarily focuses on the positive effects of SCT practices (Guan et al., 2020; Jia et al., 2023; Kalkanci and Plambeck, 2020; Song et al., 2023). However, attention should also be given to the risks and negative consequences that SCT may bring to firms (Budler et al., 2024; Montecchi et al., 2021). Disclosing complex and multi-layered SC information can lead to various challenges, such as leaking of sensitive information (Li et al., 2018), damaging partnerships (Lamming et al., 2005), facing legal and regulatory constraints (Sodhi and Tang, 2019) and attracting more regulatory and public scrutiny (Liu et al., 2024; Mol, 2015). Therefore, future research could focus on empirical studies to identify the risks and negative impacts of SCT practices, thereby developing effective SCT management strategies.
3.5 Promoting SCT with digital technologies
With regard to the research on improving SCT with digital technology, the majority of efforts focus on theoretical exploration and conceptual validation (Menon and Jain, 2024). To provide deeper insights into the underlying mechanisms and practical applications of this specific practice, it is imperative to conduct empirical research (Tokkozhina et al., 2023). Specifically, researchers could conduct field experiments or interviews to track the specific applications of blockchain technology in SCT practices and assess its advantages in terms of traceability, immutability, auditability and provenance (Feng et al., 2020). It is noteworthy that many digital technologies are still in their nascent stages (Menon and Jain, 2024; Saurabh and Dey, 2021). The initial investments required for adopting new technologies could potentially lead to costs exceeding their value to businesses (Chen et al., 2023; Li et al., 2023). Therefore, the cost associated with implementing digital technology is a concern. Future research should explore how to achieve economies of scale and scope, enabling digital technologies to gain sustainable competitive advantages in managing SCT.
3.6 Exploring the integration of digital technologies
Considering the rapid development of digital technologies, future research could explore how to integrate digital technologies, such as blockchain, Internet of Things (IoT) and AI, to further improve SCT (Dolgui and Ivanov, 2022). In addition, the combination of such technologies can have complementary positive of potentially diminishing returns. For instance, whether the combination of blockchain technology, the IoT and AI can significantly improve the traceability of SCs can be a viable area of inquiry (Bumblauskas et al., 2020). How does RFID complement 5G wireless technology? More importantly, given the recent attention given to AI, research in this arena is of utmost importance. SC’s leverage AI to enhance efficiencies and transparency. For instance, research can further explore how machine learning and supervised/unsupervised learning can assist in fraud detection.
3.7 Conceptualizing SCT
The terms related to SCT, such as traceability, visibility and disclosure, are often used interchangeably (Budler et al., 2024; Sodhi and Tang, 2019). It is crucial to clearly define these terms and their application scenarios. Therefore, future research could employ an exploratory approach, such as case studies, to delve into the practices of SCT in diverse industries and contexts. Through detailed analysis of specific cases, researchers can reveal the multi-dimensional characteristics of SCT and construct a more precise and comprehensive conceptual framework (Agrawal et al., 2024). Such a framework would facilitate the clarification of the connotation and extension of SCT, thereby establishing a robust foundation for subsequent theoretical research and practical applications (Montecchi et al., 2021).
4. Conclusion
By synthesizing past and recent literature, we have outlined some key themes of SCT to date. Subsequently, we propose a comprehensive conceptual framework that delineates the key elements of SCT, including the influencing factors, concepts, practices, challenges, outcomes and risks of SCT. As illustrated by the papers in this editorial, the importance of SCT, coupled with advancements in technology, presents numerous research opportunities. Consequently, we have identified unresolved issues in current research and potential future research directions. This editorial aims to enhance our understanding of SCT and establish a foundation for future research in this field. Moreover, it is intended to motivate scholars and researchers to create new research opportunities and contribute more to the practice of SCT.
Figures
Terms related to SCT
Terms | Definition | References |
---|---|---|
SCT | SCT is defined as the extent to which a company or organization voluntarily and clearly discloses information about various aspects of its SC operations to its stakeholders. This information covers the entire SC process, including but not limited to raw material procurement, production processes, logistics and distribution, sales, etc. | Bai and Sarkis (2020), Montecchi et al. (2021), Sodhi and Tang (2019) |
SC visibility | Participants within the SC have access to or share key information related to SC operations, thereby meeting the needs of stakeholders | Agrawal et al. (2024), Barratt and Oke (2007), Kalaiarasan et al. (2022) |
SC traceability | The ability of a firm to track and trace products from raw material procurement to final product delivery to consumers | Cousins et al. (2019), Kamble et al. (2020) |
SC openness | It refers to the degree and scope of information sharing among various participants in the SC | Cadden et al. (2013), Montecchi et al. (2021) |
Disclosure | The process of firms openly sharing information with internal and external stakeholders involves disclosure in various areas, such as quality, environment impact, social responsibility and sustainability | Chen et al. (2022), Li et al. (2018), Marquis et al. (2016) |
Source(s): Authors
References
Agrawal, T.K., Kalaiarasan, R., Olhager, J. and Wiktorsson, M. (2024), “Supply chain visibility: a Delphi study on managerial perspectives and priorities”, International Journal of Production Research, Vol. 62 No. 8, pp. 2927-2942, doi: 10.1080/00207543.2022.2098873.
Ahmed, W.A.H., MacCarthy, B.L. and Treiblmaier, H. (2022), “Why, where and how are organizations using blockchain in their supply chains? Motivations, application areas and contingency factors”, International Journal of Operations and Production Management, Vol. 42 No. 12, pp. 1995-2028, doi: 10.1108/ijopm-12-2021-0805.
Awaysheh, A. and Klassen, R.D. (2010), “The impact of supply chain structure on the use of supplier socially responsible practices”, International Journal of Operations and Production Management, Vol. 30 No. 12, pp. 1246-1268, doi: 10.1108/01443571011094253.
Azadegan, A., Srinivasan, R., Blome, C. and Tajeddini, K. (2019), “Learning from near-miss events: an organizational learning perspective on supply chain disruption response”, International Journal of Production Economics, Vol. 216, pp. 215-226, doi: 10.1016/j.ijpe.2019.04.021.
Azadegan, A., Mellat Parast, M., Lucianetti, L., Nishant, R. and Blackhurst, J.J.D.S. (2020a), “Supply chain disruptions and business continuity: an empirical assessment”, Decision Sciences, Vol. 51 No. 1, pp. 38-73, doi: 10.1111/deci.12395.
Azadegan, A., Syed, T.A., Blome, C. and Tajeddini, K. (2020b), “Supply chain involvement in business continuity management: effects on reputational and operational damage containment from supply chain disruptions”, Supply Chain Management: An International Journal, Vol. 25 No. 6, pp. 747-772, doi: 10.1108/scm-08-2019-0304.
Baharmand, H., Maghsoudi, A. and Coppi, G. (2021), “Exploring the application of blockchain to humanitarian supply chains: insights from Humanitarian Supply Blockchain pilot project”, International Journal of Operations and Production Management, Vol. 41 No. 9, pp. 1522-1543, doi: 10.1108/ijopm-12-2020-0884.
Bai, C. and Sarkis, J. (2020), “A supply chain transparency and sustainability technology appraisal model for blockchain technology”, International Journal of Production Research, Vol. 58 No. 7, pp. 2142-2162, doi: 10.1080/00207543.2019.1708989.
Barratt, M. and Oke, A. (2007), “Antecedents of supply chain visibility in retail supply chains: a resource-based theory perspective”, Journal of Operations Management, Vol. 25 No. 6, pp. 1217-1233, doi: 10.1016/j.jom.2007.01.003.
Besiou, M. and Van Wassenhove, L.N. (2020), “Humanitarian operations: a world of opportunity for relevant and impactful research”, Manufacturing and Service Operations Management, Vol. 22 No. 1, pp. 135-145, doi: 10.1287/msom.2019.0799.
Birkey, R.N., Guidry, R.P., Islam, M.A. and Patten, D.M. (2018), “Mandated social disclosure: an analysis of the response to the California transparency in supply chains act of 2010”, Journal of Business Ethics, Vol. 152 No. 3, pp. 827-841, doi: 10.1007/s10551-016-3364-7.
Budler, M., Quiroga, B.F. and Trkman, P. (2024), “A review of supply chain transparency research: antecedents, technologies, types, and outcomes”, Journal of Business Logistics, Vol. 45 No. 1, doi: 10.1111/jbl.12368.
Bumblauskas, D., Mann, A., Dugan, B. and Rittmer, J. (2020), “A blockchain use case in food distribution: do you know where your food has been?”, International Journal of Information Management, Vol. 52, 102008, doi: 10.1016/j.ijinfomgt.2019.09.004.
Bush, S.R., Belton, B., Hall, D., Vandergeest, P., Murray, F.J., Ponte, S., Oosterveer, P., Islam, M.S., Mol, A.P.J., Hatanaka, M., Kruijssen, F., Ha, T.T.T., Little, D.C. and Kusumawati, R. (2013), “Certify sustainable aquaculture?”, Science, Vol. 341 No. 6150, pp. 1067-1068, doi: 10.1126/science.1237314.
Cadden, T., Marshall, D. and Cao, G. (2013), “Opposites attract: organisational culture and supply chain performance”, Supply Chain Management, Vol. 18 No. 1, pp. 86-103, doi: 10.1108/13598541311293203.
Carter, C.R. and Rogers, D.S. (2008), “A framework of sustainable supply chain management: moving toward new theory”, International Journal of Physical Distribution and Logistics Management, Vol. 38 No. 5, pp. 360-387, doi: 10.1108/09600030810882816.
Chen, S., Zhang, Q. and Zhou, Y.P. (2019), “Impact of supply chain transparency on sustainability under NGO scrutiny”, Production and Operations Management, Vol. 28 No. 12, pp. 3002-3022, doi: 10.1111/poms.12973.
Chen, L., Jia, F., Li, T. and Zhang, T. (2021), “Supply chain leadership and firm performance: a meta-analysis”, International Journal of Production Economics, Vol. 235, 108082, doi: 10.1016/j.ijpe.2021.108082.
Chen, G., Tian, X.S. and Yu, M. (2022), “Redact to protect? Customers' incentive to protect information and suppliers' disclosure strategies”, Journal of Accounting and Economics, Vol. 74 No. 1, 101490, doi: 10.1016/j.jacceco.2022.101490.
Chen, L., Li, T., Jia, F. and Schoenherr, T. (2023), “The impact of governmental COVID-19 measures on manufacturers' stock market valuations: the role of labor intensity and operational slack”, Journal of Operations Management, Vol. 69 No. 3, pp. 404-425, doi: 10.1002/joom.1207.
Cousins, P.D., Lawson, B., Petersen, K.J. and Fugate, B. (2019), “Investigating green supply chain management practices and performance”, International Journal of Operations and Production Management, Vol. 39 No. 5, pp. 767-786, doi: 10.1108/ijopm-11-2018-0676.
Dahlmann, F., Brammer, S. and Roehrich, J.K. (2023), “Navigating the ‘performing-organizing’ paradox: tensions between supply chain transparency, coordination, and scope 3 GHG emissions performance”, International Journal of Operations and Production Management, Vol. 43 No. 11, pp. 1757-1780, doi: 10.1108/ijopm-09-2022-0622.
DesMarais, C. (2014), “Patagonia, the North Face warm up to ethical goose down”, available at: https://www.greenbiz.com/article/patagonia-north-face-warm-ethical-goose-down
Dolgui, A. and Ivanov, D. (2022), “5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything”, International Journal of Production Research, Vol. 60 No. 2, pp. 442-451, doi: 10.1080/00207543.2021.2002969.
Dou, Y., Zhu, Q. and Sarkis, J. (2018), “Green multi-tier supply chain management: an enabler investigation”, Journal of Purchasing and Supply Management, Vol. 24 No. 2, pp. 95-107, doi: 10.1016/j.pursup.2017.07.001.
Dubey, R., Gunasekaran, A., Childe, S.J., Papadopoulos, T., Blome, C. and Luo, Z. (2019), “Antecedents of resilient supply chains: an empirical study”, IEEE Transactions on Engineering Management, Vol. 66 No. 1, pp. 8-19, doi: 10.1109/tem.2017.2723042.
Dubey, R., Gunasekaran, A., Childe, S.J., Papadopoulos, T., Luo, Z. and Roubaud, D. (2020), “Upstream supply chain visibility and complexity effect on focal company's sustainable performance: Indian manufacturers' perspective”, Annals of Operations Research, Vol. 290 Nos 1-2, pp. 343-367, doi: 10.1007/s10479-017-2544-x.
Feng, Y.T. and Zhu, Q.H. (2024), “How do customers' environmental efforts diffuse to suppliers: the role of customers' characteristics and suppliers' digital technology capability”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1676-1706, doi: 10.1108/ijopm-08-2023-0668.
Feng, H., Wang, X., Duan, Y., Zhang, J. and Zhang, X. (2020), “Applying blockchain technology to improve agri-food traceability: a review of development methods, benefits and challenges”, Journal of Cleaner Production, Vol. 260, 121031, doi: 10.1016/j.jclepro.2020.121031.
Feng, B., Zheng, M. and Shen, Y. (2024), “The effect of relational embeddedness on transparency in supply chain networks: the moderating role of digitalization”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1621-1648, doi: 10.1108/ijopm-08-2023-0713.
Freese, F. and Ludwig, A. (2024), “A conceptual framework for supply chain digital twins–development and evaluation”, International Journal of Logistics Research and Applications, pp. 1-23, doi: 10.1080/13675567.2024.2324895.
Garcia-Torres, S., Albareda, L., Rey-Garcia, M. and Seuring, S. (2019), “Traceability for sustainability–literature review and conceptual framework”, Supply Chain Management: An International Journal, Vol. 24 No. 1, pp. 85-106, doi: 10.1108/scm-04-2018-0152.
Gardner, T.A., Benzie, M., Börner, J., Dawkins, E., Fick, S., Garrett, R., Godar, J., Grimard, A., Lake, S., Larsen, R.K., Mardas, N., McDermott, C.L., Meyfroidt, P., Osbeck, M., Persson, M., Sembres, T., Suavet, C., Strassburg, B., Trevisan, A., West, C. and Wolvekamp, P. (2019), “Transparency and sustainability in global commodity supply chains”, World Development, Vol. 121, pp. 163-177, doi: 10.1016/j.worlddev.2018.05.025.
Gualandris, J. and Kalchschmidt, M. (2016), “Developing environmental and social performance: the role of suppliers sustainability and buyer-supplier trust”, International Journal of Production Research, Vol. 54 No. 8, pp. 2470-2486, doi: 10.1080/00207543.2015.1106018.
Gualandris, J., Longoni, A., Luzzini, D. and Pagell, M. (2021), “The association between supply chain structure and transparency: a large-scale empirical study”, Journal of Operations Management, Vol. 67 No. 7, pp. 803-827, doi: 10.1002/joom.1150.
Guan, X., Liu, B., Chen, Y.J. and Wang, H. (2020), “Inducing supply chain transparency through supplier encroachment”, Production and Operations Management, Vol. 29 No. 3, pp. 725-749, doi: 10.1111/poms.13133.
H&M (2020), “H&M group sustainability performance report 2020”, available at: https://hmgroup.com/news/hm-group-sustainability-performance-report-2020/
Heese, H.S. (2007), “Inventory record inaccuracy, double marginalization, and RFID adoption”, Production and Operations Management, Vol. 16 No. 5, pp. 542-553, doi: 10.1111/j.1937-5956.2007.tb00279.x.
Jia, F., Xu, Y., Chen, L. and Fernandes, K. (2023), “Does supply chain concentration improve sustainability performance: the role of operational slack and information transparency”, International Journal of Operations and Production Management. doi: 10.1108/ijopm-12-2022-0807.
Kalaiarasan, R., Olhager, J., Agrawal, T.K. and Wiktorsson, M. (2022), “The ABCDE of supply chain visibility: a systematic literature review and framework”, International Journal of Production Economics, Vol. 248, 108464, doi: 10.1016/j.ijpe.2022.108464.
Kalkanci, B. and Plambeck, E.L. (2020), “Reveal the supplier list? A trade-off in capacity vs responsibility”, Manufacturing and Service Operations Management, Vol. 22 No. 6, pp. 1251-1267, doi: 10.1287/msom.2019.0795.
Kamble, S.S., Gunasekaran, A. and Sharma, R. (2020), “Modeling the blockchain enabled traceability in agriculture supply chain”, International Journal of Information Management, Vol. 52, 101967, doi: 10.1016/j.ijinfomgt.2019.05.023.
Keller, J., Burkhardt, P. and Lasch, R. (2021), “Informal governance in the digital transformation”, International Journal of Operations and Production Management, Vol. 41 No. 7, pp. 1060-1084, doi: 10.1108/ijopm-09-2020-0660.
Khan, S.A.R., Zkik, K., Belhadi, A. and Kamble, S.S. (2021), “Evaluating barriers and solutions for social sustainability adoption in multi-tier supply chains”, International Journal of Production Research, Vol. 59 No. 11, pp. 3378-3397, doi: 10.1080/00207543.2021.1876271.
Lamming, R.C., Caldwell, N.D., Harrison, D.A. and Phillips, W. (2001), “Transparency in supply relationships: concept and practice”, Journal of Supply Chain Management, Vol. 37 No. 3, pp. 4-10, doi: 10.1111/j.1745-493x.2001.tb00107.x.
Lamming, R.C., Caldwell, N., Phillips, W. and Harrison, D. (2005), “Sharing sensitive information in supply relationships: the flaws in one-way open-book negotiation and the need for transparency”, European Management Journal, Vol. 23 No. 5, pp. 554-563, doi: 10.1016/j.emj.2005.09.010.
Li, Y., Lin, Y. and Zhang, L. (2018), “Trade secrets law and corporate disclosure: causal evidence on the proprietary cost hypothesis”, Journal of Accounting Research, Vol. 56 No. 1, pp. 265-308, doi: 10.1111/1475-679x.12187.
Li, L., Gong, Y., Wang, Z. and Liu, S. (2023), “Big data and big disaster: a mechanism of supply chain risk management in global logistics industry”, International Journal of Operations and Production Management, Vol. 43 No. 2, pp. 274-307, doi: 10.1108/ijopm-04-2022-0266.
Liu, B., Ju, T., Lu, J. and Chan, H.K. (2024), “Hide away from implication: potential environmental reputation spillover and strategic concealment of supply chain partners' identities”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1595-1620, doi: 10.1108/ijopm-08-2023-0649.
Mango (2022), available at: https://www.mangofashiongroup.com/transparencia
Marquis, C., Toffel, M.W. and Zhou, Y. (2016), “Scrutiny, norms, and selective disclosure: a global study of greenwashing”, Organization Science, Vol. 27 No. 2, pp. 483-504, doi: 10.1287/orsc.2015.1039.
Menon, S. and Jain, K. (2024), “Blockchain technology for transparency in agri-food supply chain: use cases, limitations, and future directions”, IEEE Transactions on Engineering Management, Vol. 71, pp. 106-120, doi: 10.1109/tem.2021.3110903.
Mol, A.P.J. (2015), “Transparency and value chain sustainability”, Journal of Cleaner Production, Vol. 107, pp. 154-161, doi: 10.1016/j.jclepro.2013.11.012.
Mollenkopf, D.A., Peinkofer, S.T. and Chu, Y. (2022), “Supply chain transparency: consumer reactions to incongruent signals”, Journal of Operations Management, Vol. 68 No. 4, pp. 306-327, doi: 10.1002/joom.1180.
Montecchi, M., Plangger, K. and West, D.C. (2021), “Supply chain transparency: a bibliometric review and research agenda”, International Journal of Production Economics, Vol. 238, 108152, doi: 10.1016/j.ijpe.2021.108152.
Morgan, T.R., Gabler, C.B. and Manhart, P.S. (2023), “Supply chain transparency: theoretical perspectives for future research”, International Journal of Logistics Management, Vol. 34 No. 5, pp. 1422-1445, doi: 10.1108/ijlm-02-2021-0115.
Nike (2024), “Nike manufacturing map”, available at: https://manufacturingmap.nikeinc.com/
Qrunfleh, S. and Tarafdar, M. (2014), “Supply chain information systems strategy: impacts on supply chain performance and firm performance”, International Journal of Production Economics, Vol. 147, pp. 340-350, doi: 10.1016/j.ijpe.2012.09.018.
Saberi, S., Kouhizadeh, M., Sarkis, J. and Shen, L. (2019), “Blockchain technology and its relationships to sustainable supply chain management”, International Journal of Production Research, Vol. 57 No. 7, pp. 2117-2135, doi: 10.1080/00207543.2018.1533261.
Sadeghi, R.K., Azadegan, A. and Ojha, D. (2023), “A path to build supply chain cyber-resilience through absorptive capacity and visibility: two empirical studies”, Industrial Marketing Management, Vol. 111, pp. 202-215, doi: 10.1016/j.indmarman.2023.04.001.
Sadeghi, R.J.K., Azadegan, A., Ojha, D. and Ogden, J.A. (2022), “Benefiting from supplier business continuity: the role of supplier monitoring and buyer power”, Industrial Marketing Management, Vol. 106, pp. 432-443, doi: 10.1016/j.indmarman.2022.09.009.
Saurabh, S. and Dey, K. (2021), “Blockchain technology adoption, architecture, and sustainable agri-food supply chains”, Journal of Cleaner Production, Vol. 284, 124731, doi: 10.1016/j.jclepro.2020.124731.
Shi, R., Yin, Q., Yuan, Y., Lai, F. and Luo, X. (2024), “The impact of supply chain transparency on financing offerings to firms: the moderating role of supply chain concentration”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1568-1594, doi: 10.1108/ijopm-08-2023-0674.
Sodhi, M.S. and Tang, C.S. (2019), “Research opportunities in supply chain transparency”, Production and Operations Management, Vol. 28 No. 12, pp. 2946-2959, doi: 10.1111/poms.13115.
Song, H., Han, S. and Yu, K. (2023), “Blockchain-enabled supply chain operations and financing: the perspective of expectancy theory”, International Journal of Operations and Production Management, Vol. 43 No. 12, pp. 1943-1975, doi: 10.1108/ijopm-07-2022-0467.
Tang, C.S. (2006), “Robust strategies for mitigating supply chain disruptions”, International Journal of Logistics Research and Applications, Vol. 9 No. 1, pp. 33-45, doi: 10.1080/13675560500405584.
Tokkozhina, U., Martins, A.L. and Ferreira, J.C. (2023), “Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain”, Operations Management Research, Vol. 16 No. 3, pp. 1562-1576, doi: 10.1007/s12063-023-00377-w.
Tuladhar, A., Rogerson, M., Engelhart, J., Parry, G.C. and Altrichter, B. (2024), “Blockchain for compliance: an information processing case study of mandatory supply chain transparency in conflict minerals sourcing”, Supply Chain Management, Vol. 29 No. 4, pp. 755-777, doi: 10.1108/scm-11-2023-0585.
Villena, V.H. and Gioia, D.A. (2018), “On the riskiness of lower-tier suppliers: managing sustainability in supply networks”, Journal of Operations Management, Vol. 64 No. 1, pp. 65-87, doi: 10.1016/j.jom.2018.09.004.
Wang, Q., Xu, X. and Wang, Y. (2024), “The impact of supply chain strategy on supply chain transparency over the firm lifecycle: evidence from China”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1539-1567, doi: 10.1108/ijopm-07-2023-0571.
Xu, X. and Jackson, J.E. (2019), “Examining customer channel selection intention in the omni-channel retail environment”, International Journal of Production Economics, Vol. 208, pp. 434-445, doi: 10.1016/j.ijpe.2018.12.009.
Xu, L., Jia, F., Lin, X. and Chen, L. (2023), “The role of technology in supply chain decarbonisation: towards an integrated conceptual framework”, Supply Chain Management, Vol. 28 No. 4, pp. 803-824, doi: 10.1108/scm-09-2022-0352.
Zheng, L.J., Islam, N., Zhang, J.Z., Wang, H. and Au, K.M.A. (2024), “How does supply chain transparency influence idiosyncratic risk in newly public firms: the moderating role of firm digitalization”, International Journal of Operations and Production Management, Vol. 44 No. 9, pp. 1649-1675, doi: 10.1108/ijopm-08-2023-0689.