scholarly journals Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Research Collaboration ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management ◽  
Domain Specific ◽  
The Status ◽  
The Impact

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.

Green Supply Chain Management in Chinese Electronic Manufacturing Organisations

2015 ◽  
Vol 6 (3) ◽  
pp. 21-30
Author(s):  
Eoin Plant ◽  
Yusen Xu ◽  
Gareth R.T. White
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Information Sharing ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Current Status ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management

Green supply chain management and reverse logistics has emerged as a key area of research interest. Recent environmental regulations have also stimulated interest in this field. However, information sharing is a prerequisite to efficient and effective logistics utilisation. Manufacturing organisations in China were argued to be 10-20 years behind their Western counterparts in relation to information sharing in their supply chains (). This barrier needs to be addressed if China is going to maintain and grow its manufacturing position in the world, attempt to address green supply chain issues and their negative externalities. A systematic literature review was undertaken and green supply chain management theoretical framework adopted. The paper explores the perceptions of senior management toward green logistics and information sharing in Chinese electronic manufacturers. Previous research has concentrated on the focal companies (brand owners). This research concentrated on SME organisations further up the supply chain. Semi-structured interviews of eighteen senior managers of electronic manufactures in Jiangsu province China were conducted in 2012. Thematic analysis is applied and the findings contrasted to other research. The paper provides insight to the current status of managers' views on information sharing and green supply chain initiatives. Information platform, skills, investment, and trust emerged as key influences on their willing to engage in information sharing in relation to green supply chains. This research, among others, assists to inform policy for optimal evidence based intervention. Future research directions are also considered.

Supply chain management 4.0: a literature review and research framework

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamar Zekhnini ◽  
Anass Cherrafi ◽  
Imane Bouhaddou ◽  
Youssef Benghabrit ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Bibliometric Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Subject Field ◽  
Chain Management ◽  
Content Type ◽  
The Impact

PurposeThis article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management.Design/methodology/approachA literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted.FindingsThe paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice.Practical implicationsThe proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field.Originality/valueThis paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies' impact on different SC processes have been considered.

A global exploration of Big Data in the supply chain

2016 ◽  
Vol 46 (8) ◽  
pp. 710-739 ◽  
Author(s):  
Robert Glenn Richey ◽  
Tyler R. Morgan ◽  
Kristina Lindsey-Hall ◽  
Frank G. Adams
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Success Factors ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Key Success Factors ◽  
Starting Point

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.

scholarly journals Supply Chain Disruptions Due to Pandemic- A Case Study Paper on the Recent Pandemic Covid 19

2020 ◽  
Vol 5 (7) ◽  
pp. 1416-1421
Author(s):  
Archana M S ◽  
Kavya C ◽  
Prathiksha B
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Future Research ◽  
Shipping Industry ◽  
Supply Chain System ◽  
Supply Chain Disruptions ◽  
Chain Management ◽  
The Impact

Be it agriculture, manufacturing or production of energy, all are a part of supply and demand mechanics controlling freights and container ships, bringing the world’s industry together leading to globalization of economy. The world’s food, products were transported by the shipping industry with supply chain as its core. 94% of the Fortune 500 companies are seeing covid 19 supply chain disruptions as per 2020 Forbes report. Supply chains of today are very intricate and interconnected; disruption at one part can spread in an unpredicted manner. This paper helps the reader analyze various supply chain models and the impact of disruptions caused by the pandemic. At first, it discusses supply chain management and its risks due to pandemics. It then, discusses a case study of Unilever restructuring its supply chain system. The paper also suggests a methodology for supply chain management during pandemic. The outcomes and insights of this paper can be used by decision makers for risk management in supply chains and leads a step for future research.

Startups in the supply chain ecosystem: an organizing framework and research opportunities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephan M. Wagner
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Design Methodology ◽  
Success Factors ◽  
Business Models ◽  
Service Providers ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Logistics

PurposeStartups are associated with innovation, emerging technologies, digitalization and disruptive business models. This article aims to provide a better understanding of startups in logistics and supply chain management, organizes the contemporary discussion around startups in the supply chain ecosystem and outlines opportunities for future research.Design/methodology/approachThis study draws on the prior supply chain, logistics and entrepreneurship literature and discusses key themes along the six identified startup issues. Furthermore, it proposes several perspectives and theories for grounding future research.FindingsThis study discusses the roles and success factors of startups in the supply chain ecosystem. It lays out how startups need to organize their own supply chains, how supply chain management (SCM) startups incubate and accelerate their ventures, the financing of SCM startups, as well as their positions as service providers, suppliers and customers.Originality/valueThis research brings together the sparse and dispersed literature on startups in the supply chain ecosystem, motivating scholars to increase the involvement of startups as important stakeholders in SCM research.

scholarly journals Shifting trust in construction supply chains through blockchain technology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoning (Alice) Qian ◽  
Eleni Papadonikolaki
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Original Data ◽  
Structured Interviews ◽  
Data Set ◽  
Chain Management ◽  
Content Type ◽  
Contractual Arrangements ◽  
Blockchain Technology ◽  
The Impact

PurposeBlockchain technology is booming in many industries. Its application in supply chain management is also gradually increasing. Supply chain management (SCM) has long been committed to reducing costs and increasing efficiency and is trying to optimise resources and reduce the sector's fragmentation. Trust has always been an important factor in managing supply chain relationships, and it also affects the efficiency of supply chain operations. To this end, this study aims to examine how trust is affected by the introduction of blockchain technology in construction supply chain management.Design/methodology/approachThis study is based on semi-structured interviews and publicly available information from experts in blockchain and construction supply chain management. Through content analysis, the data are analysed thematically to explore how various types of trust, such as system-based, cognition-based and relation-based, are affected by blockchain technology.FindingsBlockchain technology provides solutions for data tracking, contracting and transferring resources in supply chain management. These applications help enhance the various sources of trust in SCM and provide supply chain partners with protection mechanisms to avoid the risks and costs of opportunistic behaviour in collaboration, shifting trust from relational to system-based and cognition-based.Research limitations/implicationsThis study focuses only on inter-organisational rather than interpersonal trust and empirical data from experts whose knowledge and cognition could be subjective.Practical implicationsLeveraging the potential of digitalisation to manage trust requires that leaders and managers actively try to improve contractual arrangements, information sharing and being open to new innovative technologies like blockchain.Social implicationsFrom a relational view of supply chain management, the extent to which blockchain technology can develop and spread depends on the readiness of the social capital to accept decentralised governance structures.Originality/valueThis study builds upon an original data set and discusses features and applications of blockchain technology, explores the sources and dimensions of trust in supply chain management and explains the impact of blockchain technology on trust.

scholarly journals Disruptive Technologies and Sustainable Supply Chain Management: A Review and Cross-Case Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 77
Author(s):  
Khadija Ajmal ◽  
Nallan C. Suresh ◽  
Charles X. Wang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Future Research ◽  
Disruptive Technology ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Sustainability Performance ◽  
Disruptive Technologies ◽  
The Impact

This study examines the relationship between disruptive technologies and their potential impacts on sustainable supply chain management (SSCM), with a focus on the following technologies: Big Data Analytics / Artificial Intelligence / Machine Learning, Blockchain, Industry 4.0 / Internet of Things (IoT), 3D Printing / Additive Manufacturing, and P2P / Sharing Economy. Based on a comprehensive literature review on both theoretical and practical roles of these disruptive technologies in SSCM, we conduct a cross-case study to analyze the impacts of disruptive technologies on sustainability performance. From 100 application cases of 41 companies in key supply chain management and sustainability journals, we develop a classification scheme based on implementation complexity and sustainability performance of disruptive technologies. The implementation complexity and sustainability performance matrix show that all the cases examined have a positive overall sustainability performance score which indicates that investment in disruptive technologies improves the sustainability performance of firms. However, the impact of each disruptive technology on sustainability performance varies with the types of technology and sustainability dimensions. We also utilize the cases to illustrate how disruptive technologies are applied to key areas of SSCM and identify opportunities for future research.

Implementation of supply chain management and its impact on the value of firms

2005 ◽  
Vol 10 (4) ◽  
pp. 313-318 ◽  
Author(s):  
Uma V. Sridharan ◽  
W. Royce Caines ◽  
Cheryl C. Patterson
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Value ◽  
Future Research ◽  
Case Study Methodology ◽  
Chain Management ◽  
Content Type ◽  
Market Values ◽  
Implementation Methodology ◽  
The Impact

PurposeThe purpose of this research is to examine the effect of supply chain implementation issues on firm value.Design/methodology/approachUsing case study methodology, this paper outlines the cases of Hershey and Nike and the impact of supply chain implementation issues on these firms’ value.FindingsDifficulties in the implementation of supply chain management software designed to maximize firm value, can result in a disruption of a firm's supply chain, causing losses for the firm and a decline in firm value; thereby creating much disappointment for the firm's shareholders. Hence, great care should be taken with the implementation of new SCM solutions.Research limitations/implicationsFuture research may be directed at extending this work by examining the changes in the market values of a wide sample of client and provider firms following the implementation of new supply chain solutions.Practical implicationsWhen modifying a standard supply chain template to suit a customer's requirements, particular care should be used in implementation and provider firms should insist that clients follow the provider's implementation methodology. Complex SCM systems designed to track a multiplicity of product varieties, may lead to difficulties in implementation. Prior to switching to a new SCM system there should be adequate testing to see if the system meets the client's requirements. Premature switching can have disastrous consequences.Originality/valueThis research demonstrates the impact of implementation issues on the effectiveness of SCM technology.

scholarly journals Disentangling supply chain management competencies and their impact on performance

2018 ◽  
Vol 48 (6) ◽  
pp. 630-655 ◽  
Author(s):  
Christoph Flöthmann ◽  
Kai Hoberg ◽  
Britta Gammelgaard
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Training Programs ◽  
Corporate Training ◽  
Organizational Knowledge ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to extend the understanding of supply chain management (SCM) competencies by splitting them into individual and organizational components and measuring their impact on SCM performance. Design/methodology/approach Hypothesized relationships are tested using structural equation modeling and bootstrapping mediation analysis based on a multi-national survey with 273 managers while drawing on the theory of knowledge management and literature streams of individual competencies in the fields of SCM and human resource management (HRM), respectively. Findings The analysis reveals that individual SCM competencies and organizational SCM knowledge positively influence SCM performance to a similar magnitude. Moreover, organizational learning enhances individual competencies and organizational knowledge significantly and equally while corporate training programs fall surprisingly short of expectations. The disentanglement of SCM competencies renders HRM’s contribution to SCM visible by revealing the impact of HRM and learning practices on competencies, knowledge, and performance. Research limitations/implications To validate the findings, future research could apply different research methods such as case studies and focus on more countries to reduce potential methodological and regional biases. Practical implications The results suggest that corporate training programs need further development. Organizational learning’s strong direct and indirect effects have two main implications: first, it should serve as motivation for organizations to constantly improve their learning capabilities. Second, these only tap its true potential for enhancing SCM performance if they first elevate individual competencies and organizational knowledge. Originality/value This is the first paper to distinguish between individual competencies and organizational knowledge on finely nuanced levels. While the organizational knowledge level effect on performance has been studied before, this paper extends this effect to also hold true for the individual level.

The Decision Process of Contracting in Supply Chain Management

2020 ◽  
Author(s):  
Jens K. Roehrich ◽  
Beverly B. Tyler ◽  
Jas Kalra ◽  
Brian Squire
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Process ◽  
Interorganizational Relationships ◽  
Future Research ◽  
Theoretical Frameworks ◽  
Chain Management ◽  
Research And Practice ◽  
Future Developments ◽  
The Relationship

Contracts are a formal mode of governing interorganizational relationships. They specify the terms and conditions of the agreement between two parties, interpret and adapt the relevant legal and industrial norms, serve as framing devices, and establish the rules and norms underpinning the relationship. The objective of this chapter is to synthesize the extant literature on interorganizational contracting to guide future research and practice. This chapter focuses on the three phases of contracting: (1) designing the contracting portfolio; (2) negotiating initial contracts; and (3) managing the relationship using contracts. The chapter explores the key decisions in each phase and the criteria involved in making these decisions. In doing so, it draws on existing research and theoretical frameworks that have contributed to the development of the contracting literature. The chapter also identifies some important and interesting directions for future contracting research and offers suggestions regarding how selected theoretical lenses might guide these endeavors. The principal conclusion is that while the existing research has primarily focused on the structural issues guiding contracting design, a more processual, social, and behavioral focus is required in future developments of the contracting literature.

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