Literature review on supply chain collaboration: comparison of various collaborative techniques

The Influence of Corporate Boundary Personnel Guanxi and Organizational Loyalty on Opportunistic Intentions - Based on Theory of Reasoned Action Model

To understand the mechanism of boundary personnel opportunistic behaviors in collaborative R&D projects to reduce the risk of companies suffering from opportunism in collaboration. This study is conducted based on the context of collaborative R&D in the equipment manufacturing industry in Northeast China. This research mainly explored the mechanism of boundary personnel opportunistic intentions. Drawing on the theory of reasoned action (TRA), this study investigated the relationship between boundary personnel Guanxi, organizational loyalty, opportunistic attitudes, subjective norms, and intentions. In addition, this research examined the moderating role of the degree of dependence on the collaborator. In total, 524 valid questionnaires were finally collected. The data analysis results suggested that Guanxi inhibits opportunistic attitudes and subjective norms. Organizational loyalty promotes opportunistic attitudes and subjective norms. Opportunistic attitudes and subjective norms positively predict intentions. Opportunistic attitudes mediate between organizational loyalty and opportunistic intentions. Opportunistic subjective norms mediate between Guanxi and opportunistic intentions. Opportunistic subjective norms also mediate between organizational loyalty and opportunistic intentions. Dependence on the collaborator positively moderates the relationship between opportunistic attitudes and intentions. Therefore, it can be argued that in collaborative R&D in the equipment manufacturing industry, the corporate could stimulate boundary personnel to build good Guanxi to eliminate opportunism. At the same time, companies should lead employees to show loyalty properly, which opportunism is not wise in collaborative R&D. Finally, enterprises should objectively understand and evaluate the dependence relationship between the two partners in collaborative R&D to adopt the right strategy.

Inventory management practices at a big-box retailer: a case study

Purpose

Managing inventory continues to be a growing area of concern for many retailers due to the multitude of issues that arise from either an excess or shortage of inventory. This study aims to understand how a large-scale retail chain can improve its handling of excess seasonal inventory using three common strategies: information sharing, visibility, and collaboration.

Design/methodology/approach

This study has been designed utilizing a case study method focusing on one retail chain at three key levels: strategic (head office), warehouses, and retail stores. The data have been collected by conducting semi-structured interviews with senior-level employees at each of the three levels and employing a thematic analysis to examine the major themes.

Findings

The results show how three common strategies are being practiced by this retailer and how utilizing these strategies aids the retailer in improving its performance in regard to seasonal inventory. Among our research findings, some challenges were discovered in implementing the strategies, most notably: human errors, advanced forecasting deficiencies, and the handling of return merchandise authorizations.

Originality/value

This research takes a case study approach and focuses on one big-box retailer. The authors chose to study three levels (head office, warehouses, and retail stores) to gain a deeper understanding of the functions and processes of each level, and to understand the working relationships between them. Through the collection of primary data in a Canadian context, this study contributes to the literature by investigating supply chain strategies for managing inventory. The Canadian context is especially interesting due to the multi-cultural demographics of the country.

An ISM-MICMAC approach for analyzing dependencies among barriers of supply chain digitalization

Purpose

Supply chain digitalization (SCD) facilitates a competitive advantage and is equally challenging. A literature analysis reveals that research related to SCD is available, but analysis of key barriers and their interrelations for effective SCD is limited. This paper aims to identify and find out interrelationships among the key barriers affecting SCD in the electronic supply chain (SC).

Design/methodology/approach

Interpretive structural modeling (ISM) is used to identify the contextual relationship among the SCD barriers. The model is validated using MICMAC analysis.

Findings

The findings of this study have implications at both theoretical and practical levels. The proposed ISM model can help organizations analyze and interpret interrelationships among barriers to SCD. It can lead to better insights and understanding for minimizing the dominant barriers to effective SCD.

Originality/value

This study tries to bridge the gap in identifying and finding the interrelationships among the key barriers to effective SCD in an electronic SC. The result assists practicing managers and academicians in effective decision-making on the SCD process.

Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology

As a disruptive and innovative technology, blockchain will significantly revolutionize how organizations produce and operate as global rivalry intensifies. The global COVID-19 outbreak, combined with the growing complexity of supply chain networks, has exposed supply chains’ vulnerability to disruption. Therefore, improving the supply chain viability is the primary way to deal with the risk of supply chain disruption. Using the method of literature research, this conceptual paper systematically reviewed and sorted out relevant literature, extracted corresponding capabilities, and put forward relevant research propositions. From the perspective of the resource-based view and resource-dependent theory, this study investigates specific dimensions of the blockchain-enabled supply chain capability: connectivity, network capability, and supply chain reconfiguration and the impact of external resource-dependent capability on the viability of the supply chain. The propositions show that the blockchain-enabled supply chain capability, and external resource-dependent capability will positively impact supply chain viability. It is expected to assist supply chain firms in implementing blockchain technology to increase supply chain viability and improve their capacity to achieve sustainable supply chain development during the crisis.

Blockchain connectivity inhibitors: weaknesses affecting supply chain interaction and resilience

Purpose

The paper aims to further understanding of connectivity from the perspective of blockchain technology (BT) in the supply chain (SC). It presents the weaknesses (inhibitors) of connectivity during technology implementation, focusing on supply chain interaction and resilience.

Design/methodology/approach

Restricting the focus to digital connectivity, interaction and supply chain resilience, this paper uses a systematic literature review (SLR) to examine how the literature has addressed, related or flagged connectivity weaknesses affecting supply chain interaction and resilience.

Findings

This study highlights the influence of connectivity for blockchain-technology projects. Technical and organisational influencers that affect the adoption of technology in the SC are presented. These influencers support the factors proposed in this study regarding the weaknesses that negatively affect the interaction between the agents involved and the SC's resilience. The research suggests that the weaknesses are related to technical needs and the relationships between companies arising from functionalities.

Research limitations/implications

This paper is restricted to a review of the theory and the researched material. Although the author was careful to choose the best search terms related to the research objective, some potentially relevant articles may have been excluded.

Practical implications

The study summarises research on blockchain connectivity influencers in the SC, helping managers to anticipate and mitigate some of doubts and concerns in projects of this nature.

Originality/value

This is one of the first articles in the area of operations and SCs that addresses the topic of connectivity, focusing on its restrictive factors (connectivity inhibitors), in the context of blockchain implementation in the SC.

Blockchain in operations for food service distribution: steps before implementation

Purpose

Considering the importance of a safe food chain for consumers and the advent of blockchain technology (BT), this research studies a food service (FS) distributor. The research aims to understand the implications related to the functional processes of distribution in FS in which it would be possible to use blockchain to achieve agility, transparency of information and improvements in food safety.

Design/methodology/approach

Firstly, theory regarding blockchain technology in the supply chain (BT-SC) and FS was analyzed to contextualize the theme conceptually. A single case study including 11 supply chain companies was applied in a BT implementation study in an FS distributor.

Findings

Investment in infrastructure is often identified as a barrier to adoption of BT-SC. This was, however, not found in this case. Furthermore, the validation of users was only necessary for those parties directly participating in the process or information input. Finally, findings differentiate between qualifying criteria and operational processes when considering BT projects in FS.

Research limitations/implications

The findings are restricted to this single case that provided an in-depth understanding of the topic. Statistical generalization is not possible at this stage of the research.

Practical implications

The study is a practical example and can provide several insights to anyone looking to implement BT in their SC.

Social implications

The social importance of the study lies in the importance of FS in the food sector, and by presenting ways that contribute to mitigating risks to consumers.

Originality/value

Real-life cases of application of BT-SC illustrate its functionalities in operational processes.

Blockchain platforms in supply chains

Purpose

The purpose of this study is to analyze blockchain (Bc) platforms in order to expand knowledge about the functionalities applied to supply chains (SCs). Therefore, this research seeks to address what these functionalities are and whether they are aligned with the theory.

Design/methodology/approach

The research utilizes a literature review on Bc in SC (Bc-SC) and an exploratory study focusing on the developers of Bc platforms.

Findings

The research maps and synthesizes concepts and applications of the platforms for SC. The platforms involved with the development of solutions with Bc technology are relatively representative (138 found by this research, and 47 offer solutions in SC), as well as the diversity of solutions and application (101 applications), covering different activities and areas of the SC.

Research limitations/implications

Despite extensive research and data analysis, there may be other platforms and solutions not analyzed in this paper.

Practical implications

The narrative and the different examples provided contribute to managers' understanding of the different possibilities for Bc-SC. Studying the services offered by the various platforms also enables managers to better understand what options exist and could potentially be utilized.

Originality/value

This is one of the first papers in a leading international OSCM (operations and supply chain management) journal to analyze the Bc platforms in SC and thereby has its relevance by synthesizing the knowledge that is dispersed in software developers (platforms).

Do employees' attributes and capabilities matter the intention to become a supply chain manager? Structural model analysis

Purpose

This study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager (SCM). The study also investigates how employees' capabilities mediate the relationship between attributes and intention to become SCM.

Design/methodology/approach

The purposive sampling frame is employed to collect the data, and multiple statistical tools and techniques are used for analyzing the data.

Findings

The findings reveal that attributes are the most crucial factor for the capabilities of employees to become successful SCM. Employees' behavioral intention and capabilities have a significant impact on intention, whereas perceived behavioral control has a significant negative impact on it. Also, the result finds that capabilities partially mediate the relationship between attributes and intention to become an SCM.

Research limitations/implications

The study extends the application of employees' intention to become a supply chain manager. The idea collected is based on Malaysia; thus, further study should be extended to assess the impact of employees' attributes, capabilities and behavioral control to become SCM as well as economic performance in other countries.

Originality/value

To the best of the authors' knowledge, this is the first empirical analysis on the relationship between employees' attributes, capabilities, behavioral control and intention to become SCM in the context of Malaysia. The findings will help the top management to select the right people as SCM and improve their attributes, capabilities and behavior so that they become an effective SCM.