Peter M. Ralston, R. Glenn Richey and Scott J. Grawe
The purpose of this paper is to provide scholarly and practical benefits by detailing the past and suggesting a future research agenda for supply chain (SC) collaboration. A…
Abstract
Purpose
The purpose of this paper is to provide scholarly and practical benefits by detailing the past and suggesting a future research agenda for supply chain (SC) collaboration. A literature review is utilized to examine what has been investigated prior, and what remains to be analyzed, in order to assist today’s managers and researchers. The research expands the understanding of SC collaboration from a focal firm perspective while providing boundaries for future investigation and at the same time detailing the current state of collaboration to practitioners.
Design/methodology/approach
The current research utilizes a systematic review of the literature to shape a proposed research agenda on the topic of SC collaboration.
Findings
The paper provides insights into gaps in the literature as it pertains to SC collaboration. Specifically, the paper suggests investigating SC collaboration as it relates to perceived and real performance, understanding what know-how and commitment a focal firm must make to SC collaboration, and how to successfully navigate collaboration termination.
Research limitations/implications
This manuscript makes four specific contributions to the literature. First, it provides the first holistic graphic depiction of the central constructs employed in extant SC collaboration research. Next it examines three specific factor areas influencing collaboration. Overlooked issues are then revealed as suggestions for future research in SC collaboration. Finally, the method employed to conduct the systematic literature review can be used as a blueprint for future researchers in performing a similar exercise.
Practical implications
The current research seeks to provide a research agenda which meets the needs of today’s business managers.
Originality/value
The paper provides a suggested research agenda for SC collaboration.
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Tyler R. Morgan, Mert Tokman, Robert Glenn Richey and Cliff Defee
The purpose of this paper is to extend existing and motivate future sustainable supply chain management (SCM) and logistics research by examining a structure-conduct-performance…
Abstract
Purpose
The purpose of this paper is to extend existing and motivate future sustainable supply chain management (SCM) and logistics research by examining a structure-conduct-performance framework linking resource commitment to sustainable SCM, reverse logistics, and operational performance. A sustainable reverse logistics capability is investigated as mediating the performance benefits associated with resource commitments to sustainable SCM.
Design/methodology/approach
Survey methods and structural equation modeling were used to collect and analyze data from 180 supply chain professionals.
Findings
The results of a mediated model suggest that resource commitments may be used to develop a sustainable reverse logistics capability, reducing the environmental impact of reverse logistics activities. A strong sustainable reverse logistics capability results from resources committed specifically to sustainable reverse logistics and a commitment to the sustainability of the supply chain.
Research limitations/implications
This study applied a purposefully general sampling procedure. Specific industries may have additional constraints (e.g. risk, transparency, governance factors) that directly impact reverse logistics. These constraints are limitations of the study as well as opportunities for future research. Resource commitment is critical to the success of an overall firm strategy to build a sustainable supply chain, especially when considering reverse logistics.
Practical implications
As managers examine the benefits of sustainable SCM, they must consider the resources required. For firms engaging in sustainable SCM, developing a sustainable reverse logistics capability is a key success factor for improved performance.
Originality/value
Given the growing acceptance and importance of sustainable SCM, this research provides insights to managers and academics regarding the key mediating role of a sustainable reverse logistics capability when integrated into existing and future supply chain research frameworks and processes.
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Colin Bauer Gabler, V. Myles Landers and R. Glenn Richey
Social and environmental actors have been added to the stakeholder balancing act required of organizations in today’s competitive marketplace. To address this, the firms may…
Abstract
Purpose
Social and environmental actors have been added to the stakeholder balancing act required of organizations in today’s competitive marketplace. To address this, the firms may create orientations to convey their strategic priorities. The purpose of this paper is to explore how different levels of environmental orientation (EO) and social orientation (SO) influence firm outcomes. This paper leverages logic from the too-much-of-a-good-thing effect to predict that firms must strategically align their resources with performance goals to optimize these resources.
Design/methodology/approach
The paper outlines a step-by-step guide that combines latent moderated structural equation modeling with response surface analysis to estimate curvilinear relationships. The approach leverages the benefits of both techniques to produce precise results and more nuanced – and meaningful – implications.
Findings
The procedure is effective in uncovering a curvilinear relationship between the indicator variables. Specifically, firms optimize environmental performance when EO is higher than SO. The opposite is the case for the outcome of social value and manager trust. Economic performance is highest when both indicators are simultaneously high.
Research limitations/implications
This study tests the relationships between social and EOs and performance. As such, the exploratory data in this study are US-centric and self-assessment in design. These limitations open the door to confirmatory studies using objective outcome data and cross-cultural comparisons. Such studies should embrace more variables and examine potential moderating influences. Most importantly, future research should work to expand and verify the development of the eco-SO construct presented here, as the dynamics of these relationships have been overlooked in most social responsibility and sustainability research. Future studies should adopt this construct into extant models and also consider the dynamics and inter-organizational fit for partner firms with competing orientations.
Practical implications
For managers, the results show that conveying an environmental or social outcome has unique benefits to the firm. Further, there is an incentive to try and do both simultaneously. However, there is a critical point where the effects taper off, which can guide managers as they implement social and/or environmental strategies.
Social implications
The research questions ask if a company can simultaneously deliver: economic value to shareholders, environmental value to the planet and social value to consumers while maintaining the trust of its managers. The results generally support that to fully serve one group, a firm must underserve another.
Originality/value
The study introduces SO as a valid construct to mirror EO and then models their interaction in three-dimensional space to present an optimal firm strategy.
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Robert Glenn Richey, Tyler R. Morgan, Kristina Lindsey-Hall and Frank G. Adams
Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research…
Abstract
Purpose
Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently, no extant research has defined the concept fully. The purpose of this paper is to develop an industry grounded definition of Big Data by canvassing supply chain managers across six nations. The supply chain setting defines Big Data as inclusive of four dimensions: volume, velocity, variety, and veracity. The study further extracts multiple concepts that are important to the future of supply chain relationship strategy and performance. These outcomes provide a starting point and extend a call for theoretically grounded and paradigm-breaking research on managing business-to-business relationships in the age of Big Data.
Design/methodology/approach
A native categories qualitative method commonly employed in sociology allows each executive respondent to provide rich, specific data. This approach reduces interviewer bias while examining 27 companies across six industrialized and industrializing nations. This is the first study in supply chain management and logistics (SCMLs) to use the native category approach.
Findings
This study defines Big Data by developing four supporting dimensions that inform and ground future SCMLs research; details ten key success factors/issues; and discusses extensive opportunities for future research.
Research limitations/implications
This study provides a central grounding of the term, dimensions, and issues related to Big Data in supply chain research.
Practical implications
Supply chain managers are provided with a peer-specific definition and unified dimensions of Big Data. The authors detail key success factors for strategic consideration. Finally, this study notes differences in relational priorities concerning these success factors across different markets, and points to future complexity in managing supply chain and logistics relationships.
Originality/value
There is currently no central grounding of the term, dimensions, and issues related to Big Data in supply chain research. For the first time, the authors address subjects related to how supply chain partners employ Big Data across the supply chain, uncover Big Data’s potential to influence supply chain performance, and detail the obstacles to developing Big Data’s potential. In addition, the study introduces the native category qualitative interview approach to SCMLs researchers.
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Jianliang Hao, Robert Glenn Richey Jr, Tyler R. Morgan and Ian M. Slazinik
Researchers have examined the influence of the factors on reducing return rates in retailing over the years. However, the returns experience is often an overlooked way to drive…
Abstract
Purpose
Researchers have examined the influence of the factors on reducing return rates in retailing over the years. However, the returns experience is often an overlooked way to drive customer engagement and repeat sales in the now ubiquitous omnichannel setting. The focus on returns prevention in existing research overshadows management’s need to understand better the comprehensive mechanics linking the customer in-store return experience with their repurchase actions. Recognizing the need to bridge different stages of the returns management process, this research aims to explore the facilitators and barriers of in-store return activities.
Design/methodology/approach
Analysis of customer corporate data from 5,339 returns at the retail level provides insights from the customer return experience. Expanding our theoretical understanding, a deductive research approach then examines how those factors impact customer repurchase intentions both online and at brick-and-mortar stores. Stage two of the study employs a scenario-based role-playing experiment with consumer respondents to test hypotheses derived from signaling theory and justice theory.
Findings
Results find that returns policy and loyalty program capabilities are essential in creating a positive customer in-store experience. Moreover, a return experience enhanced by frontline employee service can retain existing shoppers and drive additional store traffic, further stimulating retailer sales.
Originality/value
These findings refine our understanding of returns management in evolving omnichannel retailing and offer practical insights for retailers to manage customer relationships through in-store returns.
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Zachary Williams, Michael S. Garver and Robert Glenn Richey Jr
The influence of security practices is increasingly common in the supply chain management and logistics literature. However, an under-researched area exists within the logistics…
Abstract
Purpose
The influence of security practices is increasingly common in the supply chain management and logistics literature. However, an under-researched area exists within the logistics service provider (LSP) selection process. The purpose of this paper is to introduce a security capability into the LSP selection process. Specifically, this research seeks to understand partner willingness to compensate and collaborate with service providers that possess a security capability.
Design/methodology/approach
Adaptive choice modeling is adopted to assess the influence of a security capability in the LSP selection process. This study represents the first use of this method in supply chain management and logistics research. Cluster analysis is also performed to uncover specific buyer segments along with traditional regression-based significance testing and counting analysis.
Findings
The findings indicate that security can have an important influence on the LSP selection process. In particular, the findings note a willingness to pay for a security capability in LSP selection. Applying segmentation techniques to the findings, three LSP buying segments are determined, each placing different importance and value on LSP capabilities.
Practical implications
This research notes an ongoing provider deficiency in security offerings. Partner firms sometimes maintain a cost focus, but others show a willingness to pay higher prices for access to partners with a security capability. Key practitioner findings include the need to include security with other traditional selection variables. The study walks the researcher and manager through the development of segments based on LSP capabilities.
Originality/value
This manuscript investigates logistic service provider selection. The authors detail an advanced form of conjoint analysis, adaptive conjoint modeling, for first time consideration. Additionally, this is the first study to integrate security into the LSP selection process. This is also the first study to identify a willingness to pay for a security capability.
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The research on supply chains concerning disaster and crisis situations is in its infancy, but rapidly expanding on the backs of top researchers in the field. As with most young…
Abstract
Purpose
The research on supply chains concerning disaster and crisis situations is in its infancy, but rapidly expanding on the backs of top researchers in the field. As with most young research streams there is very little theoretical grounding in extant studies. The purpose of this research is to integrate four prominent existing theoretical perspectives to provide a concise yet holistic framework for grounding future research.
Design/methodology/approach
The development of the disaster recovery pyramid is completed following an extensive review of the resource, risk and crisis/disaster recovery, and preparedness literature. Additionally, literature from the resource‐based view (RBV) of the firm, communication theory, competing values theory, and relationship management theory are canvassed. Business professional and academics are also interviewed to validate the pyramid.
Findings
The proposed framework is a call for future studies in the supply chain management and logistics disaster, and crisis management arena. The findings suggest that much of the work in supply chain disaster and crisis preparedness and recovery can be theoretically supported in combination of four mature theoretical perspectives: the RBV of the firm, communication theory, competing values theory, and relationship management theory.
Originality/value
This is the first attempt to theoretically support the areas of supply chain disaster and crisis preparedness and recovery. The motivation of this paper is to both develop a framework and support a drive for growing multiple research streams in the area. Avenues of future research and theoretical grounding are suggested in a graphic representation.
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Pei Xu, Joonghee Lee, James R. Barth and Robert Glenn Richey
This paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and…
Abstract
Purpose
This paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and availability). Ultimately, propositions are developed to encourage future research in supply chain applications of blockchain technology.
Design/methodology/approach
Propositions are developed based on a synthesis of the information security and supply chain transparency literature. Findings from text mining of Twitter data and a discussion of three major blockchain use cases support the development of the propositions.
Findings
The authors note that confidentiality limits supply chain transparency, which causes tension between transparency and security. Integrity and availability promote supply chain transparency. Blockchain features can preserve security and increase transparency at the same time, despite the tension between confidentiality and transparency.
Research limitations/implications
The research was conducted at a time when most blockchain applications were still in pilot stages. The propositions developed should therefore be revisited as blockchain applications become more widely adopted and mature.
Originality/value
This study is among the first to examine the way blockchain technology eases the tension between supply chain transparency and security. Unlike other studies that have suggested only positive impacts of blockchain technology on transparency, this study demonstrates that blockchain features can influence transparency both positively and negatively.
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Tyler R. Morgan, Robert Glenn Richey Jr and Alexander E. Ellinger
The purpose of this paper is to create an instrument for conducting future supply chain transparency research by developing and validating a measure of supplier transparency…
Abstract
Purpose
The purpose of this paper is to create an instrument for conducting future supply chain transparency research by developing and validating a measure of supplier transparency. Specifically, the research develops a two-dimensional measure of supplier transparency that builds on previous studies that independently examine visibility and traceability in supply chain management (SCM)/logistics.
Design/methodology/approach
The scale development process is carried out over three stages (item generation, scale purification, scale validation). Survey methods are used with two separate data collection phases involving a total of 358 managers from multiple and diverse industries.
Findings
The new supplier transparency measure is a concise, two-dimensional scale that has the potential for significant usage in the development and testing of SCM theory.
Research limitations/implications
This study implemented a purposefully general sampling procedure. However, different industries may have additional, specific constraints regarding what it means to be a transparent supplier. Additional opportunities for future research include applying the new supplier transparency measure to examine supply chain frameworks, regulatory compliance, supply chain relationships and the implementation of information technology.
Practical implications
Firms are under increasing pressure to be transparent about partner sourcing, resource utilization and other transactional issues related to the products and processes in their supply chains. The new measure may be utilized to address these issues as well as the interaction between supply chain operations and stakeholders by facilitating a quantitative assessment of supplier transparency.
Originality/value
Drawing on the established constructs of supply chain visibility and traceability, a measure of supplier transparency is developed, supported by a review of the literature, input from subject matter experts and interviews with supply chain managers. Suggestions are made for future validation of supplier transparency within established supply chain frameworks.
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Benjamin T. Hazen, Stanley E. Fawcett, Jeffrey A. Ogden, Chad W. Autry, R. Glenn Richey and Alexander E. Ellinger
The purpose of this paper is to bring awareness to the logistics and supply chain management (L/SCM) community’s broken review process.
Abstract
Purpose
The purpose of this paper is to bring awareness to the logistics and supply chain management (L/SCM) community’s broken review process.
Design/methodology/approach
The authors diagnose some of the core problems that limit the L/SCM community from disseminating high-quality research in a timely manner.
Findings
Problems attributable to authors, reviewers, and editors are described, and recommendations for each review process participant are provided.
Originality/value
This editorial provides a call for further discussion and action in terms of how the community can improve the contribution to knowledge and society.