Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1 -- 3042 2024-01-16 07:02:35 |
2 Reference format revised. Meta information modification 3042 2024-01-17 01:54:13 |

Video Upload Options

Do you have a full video?

Confirm

Are you sure to Delete?
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Salamah, E.; Alzubi, A.; Yinal, A. Digitalization and Supply Chain Performance. Encyclopedia. Available online: https://encyclopedia.pub/entry/53862 (accessed on 01 July 2024).
Salamah E, Alzubi A, Yinal A. Digitalization and Supply Chain Performance. Encyclopedia. Available at: https://encyclopedia.pub/entry/53862. Accessed July 01, 2024.
Salamah, Esam, Ahmad Alzubi, Azmiye Yinal. "Digitalization and Supply Chain Performance" Encyclopedia, https://encyclopedia.pub/entry/53862 (accessed July 01, 2024).
Salamah, E., Alzubi, A., & Yinal, A. (2024, January 16). Digitalization and Supply Chain Performance. In Encyclopedia. https://encyclopedia.pub/entry/53862
Salamah, Esam, et al. "Digitalization and Supply Chain Performance." Encyclopedia. Web. 16 January, 2024.
Digitalization and Supply Chain Performance
Edit

Supply chain digitization (SCD) is a driving force, integrating digital technologies like big data, cloud computing, blockchain, Internet of Things (IoT), and artificial intelligence into supply chain activities. SCD focuses on “data-driven decision-making”, creating operational processes enriched by digital technologies.

digitalization supply chain performance supply chain integration

1. Supply Chain Digitalization

In the evolving landscape of supply chain management, the integration of digital technologies has become pivotal for companies seeking a competitive edge in the digital era [1]. The outbreak of COVID-19 further intensified the need for digitalization, prompting companies to adopt remote working, paperless operations, and reconstruct supply chain structures [2]. To address specific supply chain challenges, companies are embracing distinct digital technologies that offer targeted solutions. One notable example is the application of block chain technology in the food supply chain, enabling core companies and stakeholders to monitor and trace the entire food production process [3]. This innovation enhances transparency and integrity within the supply chain. Companies embarking on the journey of digitalization go beyond introducing digital technologies; they incorporate digital strategy, organizational structure, culture, and talent [4][5][6][7]. This comprehensive approach ensures a holistic integration of digitalization.
Supply chain digitization (SCD) is a driving force, integrating digital technologies like big data, cloud computing, blockchain, Internet of Things (IoT), and artificial intelligence into supply chain activities [8][9]. SCD focuses on “data-driven decision-making”, creating operational processes enriched by digital technologies. Ref. [10] emphasize the significance of digital technologies such as smart contracts, digital storage, and intelligent labels in achieving traceability throughout the product lifecycle. This not only offers a digital traceability service but also significantly improves the transparency and integrity of the supply chain.
Accordingly, digitalization can be categorized into internal and external digitalization [11]. Internal digitalization aims to enhance efficiency in operational processes through technologies like video conferencing and digital training [12]. External digitalization focuses on leveraging digital technology to strengthen interactions with stakeholders, reduce communication costs, and anticipate customer needs [13][14] analyze the steps to achieve digitalization, emphasizing the extraction of valuable knowledge from data analysis results to improve operational processes. Digitalization is reflected in two main areas: digital products/services and digital processes [15]. Highly digital enterprises provide complete digital products/services and operate with mature digital processes.
Digitalization contributes to the servitization of manufacturing companies, creating new digital business models and value-creation opportunities [16][17][18]. This transformative shift toward digital servitization is reshaping the landscape of manufacturing. A macro perspective on digitalization, considering digital connectivity, internet use, e-business, e-commerce, and e-government, showcases a positive impact on the development of financial markets and institutions [19][20] demonstrate that enhancing digital capabilities enables buyer companies to improve information sharing and relationship transparency with supplier firms, reducing opportunistic and unethical behavior and fostering a stronger partnership. In essence, supply chain digitization involves a nuanced adoption of specific digital technologies tailored to address diverse supply chain challenges, reflecting the dynamic nature of the digital era.

2. Digitalization and Supply Chain Performance

Digitalization, involving the incorporation of digital technologies into business processes, is recognized for its transformative potential in improving organizational performance [5][21][22]. In supply chain management, digitalization entails the implementation of digital systems for seamless transactions across the supply chain network [23][24][25]. This integration enables real-time information exchange, enhances communication, and fosters collaboration among supply chain partners. These advancements increase supply chain responsiveness and agility, helping businesses navigate market fluctuations and meet evolving customer demands [13][26].
The impact of digitalization on supply chain performance is a nuanced area of study, reflecting divergent findings and complex dynamics [27]. Some scholars argue that digitalization fosters greater efficiency and collaboration across the supply chain, leading to improved performance. Ref. [8] contend that digitalization enables real-time interaction and communication, enhancing overall productivity. Ref. [1] further support this perspective by highlighting how digitalization enhances supply chain agility and responsiveness. On the other hand, there are concerns about the potential downsides of digitalization. Ref. [28] points out that disparities in digital capabilities among supply chain partners can lead to imbalances and challenges in integration. Ref. [23] underlines the increased investments in IT infrastructure that digitalization might necessitate, potentially affecting the cost structure of supply chain operations [29].
A notable finding from recent studies underscores the positive influence of digitalization on supply chain performance outcomes [10][30][31][32][33][34]. The infusion of digital technologies, such as data analytics, Internet of Things (IoT) devices, and automation, empowers firms to optimize processes, minimize bottlenecks, and reduce lead times [35][36]. Consequently, supply chains become more agile and capable of swiftly adjusting to changes in consumer preferences or disruptions in the operational landscape. Furthermore [37] have highlighted how digitalization can enhance supply chain collaboration and coordination, leading to improved overall performance. By facilitating real-time data sharing and transparency, digitalization fosters stronger relationships among supply chain partners and reduces information asymmetry [38][39][40]. This not only enables more accurate demand forecasting but also allows for better inventory management and efficient resource allocation, contributing to enhanced supply chain efficiency and effectiveness. Firms that actively engage in digital collaboration with partners tend to experience growth, lower operating expenditures, and higher customer satisfaction [22] aligning with the holistic perspective presented by the integrated theoretical framework.

3. Digitalization and Supply Chain Integration

As scholars delve into the transformative impact of digitalization on supply chain dynamics, a particular focus emerges on its role in fortifying supply chain integration (SCI). The literature presents a multifaceted exploration of how digital technologies contribute to bolstering various dimensions of SCI, offering valuable insights for businesses navigating turbulent scenarios. SCI stands as a cornerstone in contemporary business strategy, epitomizing a firm’s collaborative alliance with major supply chain partners to orchestrate and streamline various supply chain activities [41][42]. SCI operates through two fundamental dimensions—supplier integration and customer integration—as a holistic approach that embodies cooperative relationships for effective supply chain management [19][41][43].
In the realm of supplier integration, the objective is to cultivate symbiotic collaborations with major suppliers, fostering mutual understanding and synchronized supply chain processes. This entails comprehensive processes such as information sharing, joint planning, and collaborative product development [43][44]. The benefits are multifold, encompassing timely production plan adjustments, swift material delivery, and reductions in supply cycle time, inventory levels, and potential conflicts [45][46]. High levels of supplier integration confer strategic advantages, allowing firms to curtail operational costs, bolster profitability, accelerate new product development, and create additional value for customers [3][47].
On the customer integration front, the emphasis is on streamlined information sharing and collaboration with major customers, with a focus on enhancing overall business performance. This collaborative effort includes sharing market insights, understanding shifts in buyer preferences, and co-developing market-oriented offerings [45][48]. The dividends of robust customer integration are evident in the efficient flow of information and products, leading to shortened lead times, reduced inventory obsolescence, and lowered operational costs, thereby improving business performance [49]. Moreover, customer integration facilitates agile responses to market changes, enhances customer satisfaction, stimulates sales growth, and augments market share [3][48].
In essence, SCI emerges as a strategic imperative for firms seeking to thrive in dynamic markets. The collaborative dimensions of both supplier and customer integration position companies to navigate the intricacies of the business landscape with agility and resilience. The strategic alignment with key supply chain partners, characterized by mutual understanding and effective collaboration, not only fosters efficient supply chain processes but also delivers superior value to customers. As such, SCI becomes not merely a logistical necessity but a transformative force that propels businesses toward enhanced operational efficiency, increased profitability, and sustained market competitiveness.
Thus, digitalization emerges as an intelligent and data-driven technology network, plays a pivotal role in fostering greater SCI by enabling seamless communication, real-time data sharing, and enhanced collaboration among supply chain partners [50][51][52] note that digital supply chain systems enable the integration of data from multiple sources, creating a transparent and interconnected information flow. This real-time data exchange is foundational for SCI as it enables partners to access and share critical information instantly, fostering a shared understanding of supply chain dynamics [39]. Ref. [53] emphasize that digitalization provides stakeholders with real-time visibility into supply chain operations, allowing them to monitor the status of goods, inventory levels, and production processes. This visibility minimizes delays, reduces the risk of disruptions, and fosters better coordination among supply chain partners, ultimately contributing to heightened integration. Furthermore, digitalization supports enhanced collaboration [52][54] highlight that digital tools enable partners to collaborate on joint projects, share demand forecasts, and synchronize their efforts. This collaborative environment fosters tighter supply chain integration as it promotes mutual understanding, trust, and a shared commitment to achieving common supply chain goals [55].
Numerous studies recognize the substantial advantages of digitalization in enhancing supply chain integration. For example, [31] emphasize digitalization’s pivotal role in cultivating internal supply chain integration. Empirical validation from previous research [39][56][57] demonstrates that IT integration capabilities lead to enduring enhancements in firm performance by fostering supply chain process integration. Ref. [58] further support this concept, indicating that digital technologies facilitate integration across functional domains within firms, aligning teams toward shared objectives such as material management, planning, and scheduling. While theoretical foundations support the positive association between digitalization and supply chain integration, additional empirical investigation is needed [39].

4. Digitalization and Supply Chain Efficiency

Digitalization’s profound impact on supply chain efficiency is evident through its transformative influence on various aspects of business processes [59]. Digitalization, defined as the incorporation of digital technologies into supply chain processes [8][24][25][30] plays a pivotal role in enhancing various dimensions of supply chain efficiency, contributing to improved performance and competitiveness. Ref. [60] emphasize how digital technologies such as advanced analytics, IoT devices, and automation contribute to streamlined processes, optimized resource allocation, and reduced waste, thereby increasing overall supply chain efficiency. For example, [9] emphasize how digital technologies enable the automation of routine and repetitive tasks within the supply chain, reducing manual labor and the potential for human error. Automation not only speeds up processes but also minimizes the risk of delays, ensuring smoother and more efficient supply chain operations [35]. As noted by [61] digital technologies, coupled with data utilization, minimize breakdowns and enhance the manufacturing process’s intelligence. Predictive analytics, for instance, can identify bottlenecks and inefficiencies, enabling firms to allocate resources where they are most needed [62][63]. This optimization leads to cost savings, reduced waste, and improved supply chain efficiency [64]. Moreover, digitalization contributes to cost reduction within the supply chain [42][65] emphasizes how digital technologies allow firms to identify cost-saving opportunities through data analysis. By optimizing transportation routes, managing inventory more efficiently, and reducing energy consumption, firms can significantly lower their operational costs, resulting in enhanced supply chain efficiency.
Refs. [66][67] corroborate this by highlighting how digitalization enhances operational efficiency through predictive analytics, enabling firms to preemptively address disruptions and minimize delays. The customer-centric benefits of digital transformation further contribute to supply chain efficiency. Supply chain digitalization enhance the customer journey by enabling personalized service delivery and efficient transactions [31][68]. Additionally, improved supply-side digitalization reduces the cash conversion cycle, directly impacting profitability, competitiveness, and value creation for firms [23]. This phenomenon reinforces the positive relationship between digitalization and supply chain efficiency. While the literature generally acknowledges the benefits of supply chain digitalization, there remains a limited academic exploration into the mechanisms driving these performance gains [10][13][30][56].

5. The Mediating Role of Supply Chain Integration

Supply chain integration, comprising both supplier integration and customer integration, defined as “a firm’s collaboration with major supply chain partners to manage various supply chain activities” [30][41]. Supplier integration involves collaboration with major suppliers to coordinate crucial supply chain activities, including product development, planning, and information sharing [69]. This collaboration yields numerous operational and strategic benefits. For instance, its faster material delivery, reduced supply cycle, and enable timely production plan [45]. Such efficiency enhancements lead to cost reductions through lower inventory levels and optimized supply chain operations [31]. Moreover, supplier integration catalyzes new product development and improves product delivery efficiencies. This value addition not only boosts customer satisfaction but also contributes to market share growth [30]. The alignment of products with customer needs, driven by supplier integration, translates into improved business performance. Customer integration further reinforces cost-cutting measures by reducing lead times and inventory obsolescence [49]. It streamlines information sharing and collaboration with customers, driving cost reduction while creating customer value [48].
Furthermore, customer integration allows firms to be responsive to shifts in buyer preferences and market trends, facilitating market-oriented offerings [45]. This responsiveness, combined with enhanced customer satisfaction, leads to increased sales growth and market [3][48]. The literature underscores the pursuit of the highest level of supply chain integration tailored to diverse markets [70]. While achieving high integration levels is desirable, it involves costs, persistence difficulties, risks, and context-specific considerations [64]. Therefore, achieving supply chain integration requires a strategic balancing act [71].
In essence, supply chain integration, encompassing both supplier and customer integration, serves as a crucial mediating mechanism between digitalization efforts and supply chain performance outcomes. By facilitating effective coordination, mutual understanding, and innovation within supply chains, supply chain integration bridges the gap between digitalization’s potential and tangible performance improvements [72]. This comprehensive perspective underscores the importance of considering supply chain integration as a mediating factor when exploring the impact of digitalization on supply chain performance, aligning with recent studies [22][39][73]. Recognizing that seamless collaboration with supply chain partners is fundamental for enhancing efficiency, reducing costs, and delivering value to customers, this mediation effect highlights the strategic significance of supply chain integration in the context of the evolving digital landscape. This aligns with the broader perspective of supply chain digitalization discussed earlier, where firms adopt and deploy digital technologies to transact with various supply chain players, thus transforming traditional business practices.

6. The Mediating Role of Supply Chain Efficiency

Efficiency, as defined by [59] underscores an organization’s ability to produce goods and services with minimal costs by minimizing waste and optimizing resource utilization. This definition extends to the supply chain context, where stakeholders engage in coordinated activities aimed at minimizing waste and optimizing resources across the entire chain [59][74]. Efficiency is a critical component for organizations seeking a competitive advantage, aligning with the RBV theory. Efficient operations result from timely and cost-effective production of products or services [75] ultimately contributing to a competitive edge [76]. In the supply chain context, the pursuit of efficiency is particularly pronounced, with the aim of achieving the lowest possible costs while meeting customer standards, including accuracy in delivery and lead time [77].
Efficient supply chain management requires a comprehensive understanding of relationships at various levels of the supply chain to mitigate costs and elevate service quality [78]. The growing focus on supply chain efficiency is evident as organizations recognize its pivotal role in supply chain performance improvement [64][79]. In the context of today’s rapidly evolving markets with short product life cycles and high demand variability, the importance of supply chain efficiency is underscored by the need for a “market-responsive supply chain strategy” [80]. Recent studies have extended [80] model, emphasizing the role of technology in enhancing supply chain efficiency [81][82]. For example, [83] found that technology interventions can enhance the effectiveness of supply chains, albeit with potential trade-offs in efficiency, highlighting the nuanced relationship between technology adoption and supply chain efficiency.
This background lays the foundation for understanding the role of supply chain efficiency as a mediator between digitalization and supply chain performance. The existing literature has established a positive relationship between digitalization and supply chain efficiency [64][78][83][84][85]. Efficiency, in turn, has been identified as a critical determinant of supply chain performance [20][33][59][74][76][86][87][88][89][90] with streamlined processes and reduced resource wastage contributing to enhanced overall supply chain outcomes. However, the intricate interplay between supply chain digitalization, efficiency, and their collective impact on performance remains relatively unexplored, forming the focal point of the present study.

The Moderating Role of Supply Chain Dynamism

Supply chain dynamism (SCD) is a crucial concept in supply chain management, representing the pace of changes in products and processes within the supply chain [91]. The constantly evolving nature of supply chains, driven by shifting business landscapes and technological advancements, has brought SCD to the forefront of research, especially in understanding how digitalization impacts supply chain outcomes [10]. The COVID-19 pandemic emphasized the critical role of SCD in contemporary operations [32] highlighting the need to explore the intricate interactions between SCD and digitalization.
In today’s dynamic business environment, characterized by the need for adaptability and rapid responses to changes, digital technologies play a pivotal role in enhancing SCI [33][69][92][93]. The literature also calls for further exploration of how digitalization can lead to supply chain performance improvement in crisis scenarios within SCI [94][95][96][97]. Researchers emphasize that achieving digitalization demands a holistic approach, requiring companies to gain market insight, adopt new technologies and management styles, transform core business processes, and leverage digital technologies to create value [98].
Digitalization acts as a catalyst for improved information sharing and collaboration throughout the supply chain, ultimately contributing to enhanced SCI [31][39][51][52][56][58][99][100] also support the idea that SCD positively influences information-sharing practices and inter-organizational relationships, resulting in improved supply chain performance. In this dynamic environment, where products and processes rapidly transform, digital tools enable heightened communication and collaboration among supply chain partners [91].
In a supply chain marked by rapid changes in products and processes, agility and responsiveness become imperative. Digitalization is recognized as a facilitator for meeting these demands [10] Recent studies emphasize the need to understand the extent of Supply SCD to formulate resilient strategies and enhance supply chain performance [91][101][102]. Scholarly investigations consistently highlight SCD as a precursor to supply chain resilience and disruption orientation, with discernible impacts on financial performance [32][91][103][104]. These insights underscore the intricate connections between dynamism, resilience, and overall supply chain performance. In this context, the moderating role of SCD in the relationship between digitalization and supply chain performance becomes increasingly crucial. As the supply chain environment becomes more dynamic, the transformative influence of digital technologies on supply chain processes can potentially be amplified, resulting in heightened improvements in overall performance. 
In a dynamic supply chain environment characterized by rapid and continuous transformations in products and processes [32], the interaction between digitalization and supply chain dynamism (SCD) holds the potential to yield amplified efficiency improvements. This proposition is rooted in the recognition that digitalization’s efficiency-enhancing capabilities can be especially potent in environments marked by constant change [105]. To comprehensively explore this interaction, insights from diverse industries where supply chain efficiency enhancement has been a focal point are crucial. Prior research has scrutinized how digitalization interfaces with SCD and its implications for efficiency and collaboration [33][99][106]. Additionally, empirical examinations of artificial intelligence’s (AI) impact on supply chain resilience and performance under SCD conditions underscore the significance of technological interventions on supply chain efficiency [32]. However, despite these valuable contributions to the field, the specific moderating role of SCD within the intricate relationship between digitalization and supply chain efficiency remains relatively unexplored territory [10].

References

  1. Ivanov, D.; Dolgui, A. A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the Era of Industry 4.0. Prod. Plan. Control. 2021, 32, 775–788.
  2. Ardolino, M.; Bacchetti, A.; Ivanov, D. Analysis of the COVID-19 Pandemic’s Impacts on Manufacturing: A Systematic Literature Review and Future Research Agenda. Oper. Manag. Res. 2022, 15, 551–566.
  3. Chang, W.; Ellinger, A.E.; Kim, K.; Franke, G.R. Supply Chain Integration and Firm Financial Performance: A Meta-Analysis of Positional Advantage Mediation and Moderating Factors. Eur. Manag. J. 2016, 34, 282–295.
  4. Li, L.; Tong, Y.; Wei, L.; Yang, S. Digital Technology-Enabled Dynamic Capabilities and Their Impacts on Firm Performance: Evidence from the COVID-19 Pandemic. Inf. Manag. 2022, 59, 103689.
  5. Eller, R.; Alford, P.; Kallmünzer, A.; Peters, M. Antecedents, Consequences, and Challenges of Small and Medium-Sized Enterprise Digitalization. J. Bus. Res. 2020, 112, 119–127.
  6. Gürdür, D.; El-Khoury, J.; Törngren, M. Digitalizing Swedish Industry: What Is Next? Comput. Ind. 2019, 105, 153–163.
  7. Hartley, J.L.; Sawaya, W.J. Tortoise, Not the Hare: Digital Transformation of Supply Chain Business Processes. Bus. Horiz. 2019, 62, 707–715.
  8. Büyüközkan, G.; Göçer, F. Digital Supply Chain: Literature Review and a Proposed Framework for Future Research. Comput. Ind. 2018, 97, 157–177.
  9. Zhou, D.; Yan, T.; Dai, W.; Feng, J. Disentangling the Interactions within and between Servitization and Digitalization Strategies: A Service-Dominant Logic. Int. J. Prod. Econ. 2021, 238, 108175.
  10. Zhou, H.; Wang, Q.; Li, L.; Teo, T.S.H.; Yang, S. Supply Chain Digitalization and Performance Improvement: A Moderated Mediation Model. SCM 2023, 28, 993–1008.
  11. Al-Geitany, S.; Aljuhmani, H.Y.; Emeagwali, O.L.; Nasr, E. Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences. Sustainability 2023, 15, 8600.
  12. Battistoni, E.; Gitto, S.; Murgia, G.; Campisi, D. Adoption Paths of Digital Transformation in Manufacturing SME. Int. J. Prod. Econ. 2023, 255, 108675.
  13. Zhou, H.; Wang, Q.; Yang, Q. How Does Digitalisation Influence Supply Chain Performance? Evidence from a Supply Chain Risk Management Perspective. Int. J. Logist. Res. Appl. 2023, 1–19.
  14. Proksch, D.; Rosin, A.F.; Stubner, S.; Pinkwart, A. The Influence of a Digital Strategy on the Digitalization of New Ventures: The Mediating Effect of Digital Capabilities and a Digital Culture. J. Small Bus. Manag. 2021, 1–29.
  15. Kamalaldin, A.; Linde, L.; Sjödin, D.; Parida, V. Transforming Provider-Customer Relationships in Digital Servitization: A Relational View on Digitalization. Ind. Mark. Manag. 2020, 89, 306–325.
  16. Kohtamäki, M.; Parida, V.; Oghazi, P.; Gebauer, H.; Baines, T. Digital servitization business model sinecosystems: A theory of the firm. J. Bus. Res. 2019, 104, 380–392.
  17. Rachinger, M.; Rauter, R.; Müller, C.; Vorraber, W.; Schirgi, E. Digitalization and Its Influence on Business Model Innovation. J. Manuf. Technol. Manag. 2019, 30, 1143–1160.
  18. Ha, L.T. Effects of Digitalization on Financialization: Empirical Evidence from European Countries. Technol. Soc. 2022, 68, 101851.
  19. Zhang, Y.; Huo, B.; Haney, M.H.; Kang, M. The Effect of Buyer Digital Capability Advantage on Supplier Unethical Behavior: A Moderated Mediation Model of Relationship Transparency and Relational Capital. Int. J. Prod. Econ. 2022, 253, 108603.
  20. Caputo, A.; Pizzi, S.; Pellegrini, M.M.; Dabić, M. Digitalization and Business Models: Where Are We Going? A Science Map of the Field. J. Bus. Res. 2021, 123, 489–501.
  21. Ritter, T.; Pedersen, C.L. Digitization Capability and the Digitalization of Business Models in Business-To-Business Firms: Past, Present, and Future. Ind. Mark. Manag. 2020, 86, 180–190.
  22. Xue, L.; Zhang, C.; Ling, H.; Zhao, X. Risk Mitigation in Supply Chain Digitization: System Modularity and Information Technology Governance. J. Manag. Inf. Syst. 2013, 30, 325–352.
  23. Yang, L.; Huo, B.; Tian, M.; Han, Z. The Impact of Digitalization and Inter-Organizational Technological Activities on Supplier Opportunism: The Moderating Role of Relational Ties. Int. J. Oper. Prod. Manag. 2021, 41, 1085–1118.
  24. Holmström, J.; Holweg, M.; Lawson, B.; Pil, F.K.; Wagner, S.M. The Digitalization of Operations and Supply Chain Management: Theoretical and Methodological Implications. J. Oper. Manag. 2019, 65, 728–734.
  25. Gu, M.; Yang, L.; Huo, B. The Impact of Information Technology Usage on Supply Chain Resilience and Performance: An Ambidexterous View. Int. J. Prod. Econ. 2021, 232, 107956.
  26. Xue, L. Governance–Knowledge Fit and Strategic Risk Taking in Supply Chain Digitization. Decis. Support. Syst. 2014, 62, 54–65.
  27. Son, B.-G.; Kim, H.; Hur, D.; Subramanian, N. The Dark Side of Supply Chain Digitalisation: Supplier-Perceived Digital Capability Asymmetry, Buyer Opportunism and Governance. Int. J. Oper. Prod. Manag. 2021, 41, 1220–1247.
  28. Saryatmo, M.A.; Sukhotu, V. The Influence of the Digital Supply Chain on Operational Performance: A Study of the Food and Beverage Industry in Indonesia. Sustainability 2021, 13, 5109.
  29. Schmidt, C.G.; Wagner, S.M. Blockchain and Supply Chain Relations: A Transaction Cost Theory Perspective. J. Purch. Supply Manag. 2019, 25, 100552.
  30. Zhao, N.; Hong, J.; Lau, K.H. Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model. Int. J. Prod. Econ. 2023, 259, 108817.
  31. Liu, K.P.; Chiu, W. Supply Chain 4.0: The Impact of Supply Chain Digitalization and Integration on Firm Performance. Asian J. Bus. Ethics 2021, 10, 371–389.
  32. Belhadi, A.; Mani, V.; Kamble, S.S.; Khan, S.A.R.; Verma, S. Artificial Intelligence-Driven Innovation for Enhancing Supply Chain Resilience and Performance under the Effect of Supply Chain Dynamism: An Empirical Investigation. Ann. Oper. Res. 2021, 1–26.
  33. Billah, M.M.; Alam, S.S.; Masukujjaman, M.; Ali, M.H.; Makhbul, Z.K.M.; Salleh, M.F.M. Effects of Internet of Things, Supply Chain Collaboration and Ethical Sensitivity on Sustainable Performance: Moderating Effect of Supply Chain Dynamism. JEIM 2023, 36, 1270–1295.
  34. Li, G.; Xue, J.; Li, N.; Ivanov, D. Blockchain-Supported Business Model Design, Supply Chain Resilience, and Firm Performance. Transp. Res. E 2022, 163, 102773.
  35. Huang, K.; Wang, K.; Lee, P.K.C.; Yeung, A.C.L. The Impact of Industry 4.0 on Supply Chain Capability and Supply Chain Resilience: A Dynamic Resource-Based View. Int. J. Prod. Econ. 2023, 262, 108913.
  36. Qader, G.; Junaid, M.; Abbas, Q.; Mubarik, M.S. Industry 4.0 Enables Supply Chain Resilience and Supply Chain Performance. Technol. Forecast. Soc. Change 2022, 185.
  37. Nayal, K.; Raut, R.D.; Yadav, V.S.; Priyadarshinee, P.; Narkhede, B.E. The Impact of Sustainable Development Strategy on Sustainable Supply Chain Firm Performance in the Digital Transformation Era. Bus. Strat. Env. 2022, 31, 845–859.
  38. Nandi, M.L.; Nandi, S.; Moya, H.; Kaynak, H. Blockchain Technology-Enabled Supply Chain Systems and Supply Chain Performance: A Resource-Based View. Supply Chain Manag. 2020, 25, 841–862.
  39. Patil, K.; Garg, V.; Gabaldon, J.; Patil, H.; Niranjan, S.; Hawkins, T. Firm Performance in Digitally Integrated Supply Chains: A Combined Perspective of Transaction Cost Economics and Relational Exchange Theory. JEIM 2023.
  40. Frohlich, M.T.; Westbrook, R. Arcs of Integration: An International Study of Supply Chain Strategies. J. Oper. Manag. 2001, 19, 185–200.
  41. Lee, K.; Azmi, N.; Hanaysha, J.; Alzoubi, H.; Alshurideh, M. The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertainsupply 2022, 10, 495–510.
  42. Chen, M.; Liu, H.; Wei, S.; Gu, J. Managerialties, supply chain integration, and firm performance in China: A social capital perspective. Ind. Mark. Manag. 2018, 74, 205–214.
  43. Wong, C.Y.; Boon-Itt, S.; Wong, C.W.Y. The Contingency Effects of Environmental Uncertainty on the Relationship between Supply Chain Integration and Operational Performance. J. Oper. Manag. 2011, 29, 604–615.
  44. Flynn, B.B.; Huo, B.; Zhao, X. The Impact of Supply Chain Integration on Performance: A Contingency and Configuration Approach. J. Oper. Manag. 2010, 28, 58–71.
  45. Chen, D.Q.; Preston, D.S.; Xia, W. Enhancing Hospital Supply Chain Performance: A Relational View and Empirical Test. J. Oper. Manag. 2013, 31, 391–408.
  46. He, Y.; Keung Lai, K.; Sun, H.; Chen, Y. The Impact of Supplier Integration on Customer Integration and New Product Performance: The Mediating Role of Manufacturing Flexibility under Trust Theory. Int. J. Prod. Econ. 2014, 147, 260–270.
  47. Ataseven, C.; Nair, A. Assessment of Supply Chain Integration and Performance Relationships: A Meta-Analytic Investigation of the Literature. Int. J. Prod. Econ. 2017, 185, 252–265.
  48. Liu, H.; Ke, W.; Kee Wei, K.; Hua, Z. Effects of Supply Chain Integration and Market Orientation on Firm Performance. Int. J. Oper. Prod. Manag. 2013, 33, 322–346.
  49. Song, S.; Shi, X.; Song, G.; Huq, F.A. Linking Digitalization and Human Capital to Shape Supply Chain Integration in Omni-Channel Retailing. Ind. Manag. Data Syst. 2021, 121, 2298–2317.
  50. Zheng, T.; Ardolino, M.; Bacchetti, A.; Perona, M. The Applications of Industry 4.0 Technologies in Manufacturing Context: A Systematic Literature Review. Int. J. Prod. Res. 2021, 59, 1922–1954.
  51. Ivanov, D.; Dolgui, A.; Sokolov, B. The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics. Int. J. Prod. Res. 2019, 57, 829–846.
  52. Gebhardt, M.; Kopyto, M.; Birkel, H.; Hartmann, E. Industry 4.0 Technologies as Enablers of Collaboration in Circular Supply Chains: A Systematic Literature Review. Int. J. Prod. Res. 2022, 60, 6967–6995.
  53. Longo, F.; Nicoletti, L.; Padovano, A.; d’Atri, G.; Forte, M. Blockchain-Enabled Supply Chain: An Experimental Study. Comput. Ind. Eng. 2019, 136, 57–69.
  54. Liu, K.P.; Chiu, W.; Chu, J.; Zheng, L.J. The Impact of Digitalization on Supply Chain Integration and Performance: A Comparison between Large Enterprises and SMEs. J. Glob. Inf. Manag. 2022, 30, 1–20.
  55. Rai, A.; Patnayakuni, R.; Seth, N. Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities. MIS Quarterly 2006, 30, 225–246.
  56. Negi, S. Supply Chain Efficiency Framework to Improve Business Performance in a Competitive Era. Manag. Res. Rev. 2021, 44, 477–508.
  57. Attaran, M. Digital Technology Enablers and Their Implications for Supply Chain Management. Supply Chain Forum Int. J. 2020, 21, 158–172.
  58. Kamble, S.S.; Gunasekaran, A.; Parekh, H.; Mani, V.; Belhadi, A.; Sharma, R. Digital Twin for Sustainable Manufacturing Supply Chains: Current Trends, Future Perspectives, and an Implementation Framework. Technol. Forecast. Soc. Change 2022, 176.
  59. Bag, S.; Dhamija, P.; Luthra, S.; Huisingh, D. How Big Data Analytics Can Help Manufacturing Companies Strengthen Supply Chain Resilience in the Context of the COVID-19 Pandemic. Int. J. Logist. Manag. 2023, 34, 1141–1164.
  60. Shah, H.M.; Gardas, B.B.; Narwane, V.S.; Mehta, H.S. The Contemporary State of Big Data Analytics and Artificial Intelligence towards Intelligent Supply Chain Risk Management: A Comprehensive Review. Kybernetes 2023, 52, 1643–1697.
  61. Al-Shboul, M.A.; Alsmairat, M.A.K. Enabling Supply Chain Efficacy through SC Risk Mitigation and Absorptive Capacity: An Empirical Investigation in Manufacturing Firms in the Middle East Region—A Moderated-Mediated Model. SCM 2023, 28, 909–922.
  62. Hallikas, J.; Immonen, M.; Brax, S. Digitalizing Procurement: The Impact of Data Analytics on Supply Chain Performance. SCM 2021, 26, 629–646.
  63. Qi, Y.; Huo, B.; Wang, Z.; Yeung, H.Y.J. The Impact of Operations and Supply Chain Strategies on Integration and Performance. Int. J. Prod. Econ. 2017, 185, 162–174.
  64. Huo, B.; Zhao, X.; Lai, F. Supply Chain Quality Integration: Antecedents and Consequences. IEEE Trans. Eng. Manage. 2014, 61, 38–51.
  65. Perano, M.; Cammarano, A.; Varriale, V.; Del Regno, C.; Michelino, F.; Caputo, M. Embracing Supply Chain Digitalization and Unphysicalization to Enhance Supply Chain Performance: A Conceptual Framework. IJPDLM 2023, 53, 628–659.
  66. Li, Y.; Dai, J.; Cui, L. The Impact of Digital Technologies on Economic and Environmental Performance in the Context of Industry 4.0: A Moderated Mediation Model. Int. J. Prod. Econ. 2020, 229, 107777.
  67. Feng, M.; Yu, W.; Wang, X.; Wong, C.Y.; Xu, M.; Xiao, Z. Green Supply Chain Management and Financial Performance: The Mediating Roles of Operational and Environmental Performance. Bus. Strat. Env. 2018, 27, 811–824.
  68. Ngo, V.M.; Nguyen, H.H.; Pham, H.C.; Nguyen, H.M.; Truong, P.V.D. Digital Supply Chain Transformation: Effect of Firm’s Knowledge Creation Capabilities under COVID-19 Supply Chain Disruption Risk. Oper. Manag. Res. 2023, 16, 1003–1018.
  69. Lichocik, G.; Sadowski, A. Efficiency of supply chain management. Strateg. Oper. Approach 2013, 9, 119–125.
  70. Kalaitzi, D.; Matopoulos, A.; Bourlakis, M.; Tate, W. Supply Chains under Resource Pressure: Strategies for Improving Resource Efficiency and Competitive Advantage. Int. J. Oper. Prod. Manag. 2019, 39, 1323–1354.
  71. Nakandala, D.; Lau, H.C.W. Innovative Adoption of Hybrid Supply Chain Strategies in Urban Local Fresh Food Supply Chain. Supply Chain Manag. 2019, 24, 241–255.
  72. Zhao, J.; Ji, M.; Feng, B. Smarter Supply Chain: A Literature Review and Practices. J. Data Inf. and Manag. 2020, 2, 95–110.
  73. Alsmairat, M.A.K.; Al-Shboul, M.A. Enabling Supply Chain Efficacy through Supply Chain Absorptive Capacity and Ambidexterity: Empirical Study from Middle East Region—A Moderated-Mediation Model. J. Manuf. Technol. Manag. 2023, 34, 917–936.
  74. Fisher, M. What Is the Right Supply Chain for Your Product? Harv. Bus. Rev. 1997, 75, 105–116.
  75. Harris, G.A.; Componation, P.J.; Farrington, P.A. An Exploration of Fisher’s Framework for the Alignment of Supply Chain Strategy with Product Characteristics. Eng. Manag. J. 2010, 22, 31–43.
  76. Sabri, Y.; Micheli, G.J.L.; Nuur, C. Exploring the Impact of Innovation Implementation on Supply Chain Configuration. J. Eng. Technol. Manag. 2018, 49, 60–75.
  77. Hendayani, R.; Febrianta, M.Y. Technology as a driver to achieve the performance of family businesses supply chain. J. Fam. Bus. Manag. 2020, 10, 361–371.
  78. Kärkkäinen, M. Increasing Efficiency in the Supply Chain for Short Shelf Life Goods Using RFID Tagging. Int. J. Retail Distrib. Manag. 2003, 31, 529–536.
  79. Park, T.A.; King, R.P. Evaluating Food Retailing Efficiency: The Role of Information Technology. J. Prod. Anal. 2007, 27, 101–113.
  80. Brandenburg, M. Supply Chain Efficiency, Value Creation and the Economic Crisis—An Empirical Assessment of the European Automotive Industry 2002–2010. Int. J. Prod. Econ. 2016, 171, 321–335.
  81. Kim, I.; Kim, C. Supply Chain Efficiency Measurement to Maintain Sustainable Performance in the Automobile Industry. Sustainability 2018, 10, 2852.
  82. Nikfarjam, H.; Rostamy-Malkhalifeh, M.; Mamizadeh-Chatghayeh, S. Measuring Supply Chain Efficiency Based on a Hybrid Approach. Transp. Res. D 2015, 39, 141–150.
  83. Jagan Mohan Reddy, K.; Neelakanteswara Rao, A.; Lb, K. A Review on Supply Chain Performance Measurement Systems. Procedia Manuf. 2019, 30, 40–47.
  84. Lee, H.-Y.; Seo, Y.-J.; Dinwoodie, J. Supply Chain Integration and Logistics Performance: The Role of Supply Chain Dynamism. Int. J. Logist. Manag. 2016, 27, 668–685.
  85. Shafique, M.N.; Rashid, A.; Yeo, S.F.; Adeel, U. Transforming Supply Chains: Powering Circular Economy with Analytics, Integration and Flexibility Using Dual Theory and Deep Learning with PLS-SEM-ANN Analysis. Sustainability 2023, 15, 11979.
  86. Huo, B. The Impact of Supply Chain Integration on Company Performance: An Organizational Capability Perspective. Supply Chain. Manag. 2012, 17, 596–610.
  87. Salah, A.; Çağlar, D.; Zoubi, K. The Impact of Production and Operations Management Practices in Improving Organizational Performance: The Mediating Role of Supply Chain Integration. Sustainability 2023, 15, 15140.
  88. Yu, Y.; Huo, B.; Zhang, Z.J. Impact of Information Technology on Supply Chain Integration and Company Performance: Evidence from Cross-Border e-Commerce Companies in China. JEIM 2021, 34, 460–489.
  89. Irfan, M.; Wang, M. Data-Driven Capabilities, Supply Chain Integration and Competitive Performance: Evidence from the Food and Beverages Industry in Pakistan. Br. Food J. 2019, 121, 2708–2729.
  90. Irfan, M.; Wang, M.; Akhtar, N. Enabling Supply Chain Agility through Process Integration and Supply Flexibility: Evidence from the Fashion Industry. Asia Pac. J. Mark. Logist. 2019, 32, 519–547.
  91. Yu, W.; Jacobs, M.A.; Chavez, R.; Yang, J. Dynamism, Disruption Orientation, and Resilience in the Supply Chain and the Impacts on Financial Performance: A Dynamic Capabilities Perspective. Int. J. Prod. Econ. 2019, 218, 352–362.
  92. Yuan, S.; Pan, X. The Effects of Digital Technology Application and Supply Chain Management on Corporate Circular Economy: A Dynamic Capability View. J. Environ. Manage. 2023, 341, 118082.
  93. Mashiloane, M.W.; Mafini, C.; Pooe, R.D.I. Supply Chain Dynamism, Information Sharing, Inter-Organisational Relationships and Supply Chain Performance in the Manufacturing Sector. Acta Commer. 2018, 18, a547.
  94. Dubey, R.; Gunasekaran, A.; Childe, S.J.; Bryde, D.J.; Giannakis, M.; Foropon, C.; Roubaud, D.; Hazen, B.T. Big Data Analytics and Artificial Intelligence Pathway to Operational Performance under the Effects of Entrepreneurial Orientation and Environmental Dynamism: A Study of Manufacturing Organisations. Int. J. Prod. Econ. 2020, 226, 107599.
  95. Jain, V.; Kumar, S.; Soni, U.; Chandra, C. Supply Chain Resilience: Model Development and Empirical Analysis. Int. J. Prod. Res. 2017, 55, 6779–6800.
  96. Ali, A.A.A.; Udin, Z.B.M.; Abualrejal, H.M.E. The Impact of Artificial Intelligence and Supply Chain Resilience on the Companies Supply Chains Performance: The Moderating Role of Supply Chain Dynamism. In Proceedings of the International Conference on Information Systems and Intelligent Applications, Proceedings of the ICISIA2022 Conference on Information Systems and Intelligent Applications, Virtual, 1–2 July 2022; Al-Emran, M., Al-Sharafi, M.A., Shaalan, K., Eds.; Springer International Publishing: Cham, Switzerland, 2023; pp. 17–28.
  97. Stephens, A.R.; Kang, M.; Robb, C.A. Linking Supply Chain Disruption Orientation to Supply Chain Resilience and Market Performance with the Stimulus–Organism–Response Model. J. Risk Financ. Manag. 2022, 15, 227.
  98. Song, M.; Pan, H.; Vardanyan, M.; Shen, Z. Evaluating the Energy Efficiency-Enhancing Potential of the Digital Economy: Evidence from China. J. Environ. Manage. 2023, 344, 118408.
  99. Isnaini, D.B.Y.; Nurhaida, T.; Pratama, I. Moderating effect of supply chain dynamic capabilities on the relationship of sustainable supply chain management practices and organizational sustainable performance: A study on the restaurant industry in Indonesia. Int. J. Supply Chain Manag. 2020, 9, 97–105.
  100. Aydiner, A.S.; Tatoglu, E.; Bayraktar, E.; Zaim, S.; Delen, D. Business Analytics and Firm Performance: The Mediating Role of Business Process Performance. J. Bus. Res. 2019, 96, 228–237.
  101. Chen, M.; Tang, X.; Liu, H.; Gu, J. The Impact of Supply Chain Concentration on Integration and Business Performance. Int. J. Prod. Econ. 2023, 257, 108781.
  102. Bag, S.; Dhamija, P.; Bryde, D.J.; Singh, R.K. Effect of Eco-Innovation on Green Supply Chain Management, Circular Economy Capability, and Performance of Small and Medium Enterprises. J. Bus. Res. 2022, 141, 60–72.
  103. Rehman Khan, S.A.; Ahmad, Z.; Sheikh, A.A.; Yu, Z. Digital Transformation, Smart Technologies, and Eco-Innovation Are Paving the Way toward Sustainable Supply Chain Performance. Sci. Prog. 2022, 105, 368504221145648.
  104. Wong, L.W.; Tan, G.W.H.; Lee, V.H.; Ooi, K.B.; Sohal, A. Unearthing the Determinants of Blockchain Adoption in Supply Chain Management. Int. J. Prod. Res. 2020, 58, 2100–2123.
  105. Aljuhmani, H.Y.; Emeagwali, O.L.; Ababneh, B. The Relationships between CEOs’ Psychological Attributes, Top Management Team Behavioral Integration and Firm Performance. IJOTB 2021, 24, 126–145.
  106. Faul, F.; Erdfelder, E.; Buchner, A.; Lang, A.G. Statistical power analyses using G*Power3.1: Tests for correlation and regression analyses. Behav. Res. Methods 2009, 41, 1149–1160.
More
Information
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register : , ,
View Times: 175
Revisions: 2 times (View History)
Update Date: 17 Jan 2024
1000/1000
Video Production Service