Evolution of supply chain ripple effect: a bibliometric and meta-analytic view of the constructs

被引:52
作者
Mishra, Deepa [1 ]
Dwivedi, Yogesh K. [2 ]
Rana, Nripendra P. [3 ]
Hassini, Elkafi [4 ]
机构
[1] Indian Inst Management Amritsar, Amritsar, Punjab, India
[2] Swansea Univ, Emerging Markets Res Ctr EMaRC, Sch Management, Bay Campus, Swansea, W Glam, Wales
[3] Univ Bradford, Sch Management, Bradford, W Yorkshire, England
[4] McMaster Univ, DeGroote Sch Business, Hamilton, ON, Canada
关键词
supply chain risk management; ripple effect; network analysis; meta-analysis; literature review; STOCHASTIC-PROGRAMMING APPROACH; RISK-MANAGEMENT PRACTICES; NETWORK DESIGN; RESILIENCE ANALYSIS; FACILITY LOCATION; DISRUPTION RISKS; PERFORMANCE; STRATEGIES; FLEXIBILITY; IMPACT;
D O I
10.1080/00207543.2019.1668073
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the broad sphere of Operations Management, Supply Chain Risk Management (SCRM) is a significant area of interest for both academics and practitioners. As SCRM has transitioned from an emerging topic to a growing research area, there is a need to review existing literature in order to ascertain development in this area. There are many literature reviews on this topic, however, there is a lack of an extensive review using network analysis and meta-analysis within SCRM context including ripple effect. To address this gap, we performed a review of 2564 articles published in peer-reviewed academic journals from 1976 to December 2018. First, we apply a network analysis tool on 2564 articles and identify emerging research clusters. Second, to conduct meta-analysis, we collated empirical results from the studies identified. Of those 2564 articles, 42 studies were empirical in nature including 29 studies that used a range of different constructs with appropriate correlation values required for performing meta-analysis. Through this study, we contribute to the literature on SCRM by discussing the challenges of current research, but more importantly, by identifying and proposing five research clusters and future research directions. Finally, the paper acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions.
引用
收藏
页码:129 / 147
页数:19
相关论文
共 171 条
[1]  
Agrawal V., 2000, Manufacturing & Service Operations Management, V2, P410, DOI 10.1287/msom.2.4.410.12339
[2]   A bibliography of non-deterministic lot-sizing models [J].
Aloulou, Mohamed Ali ;
Dolgui, Alexandre ;
Kovalyov, Mikhail Y. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (08) :2293-2310
[3]   PERSPECTIVES ON BEHAVIOR-BASED VERSUS OUTCOME-BASED SALESFORCE CONTROL-SYSTEMS [J].
ANDERSON, E ;
OLIVER, RL .
JOURNAL OF MARKETING, 1987, 51 (04) :76-88
[4]   Competing pressures of risk and absorptive capacity potential on commitment and information sharing in global supply chains [J].
Arnold, Vicky ;
Benford, Tanya ;
Hampton, Clark ;
Sutton, Steve G. .
EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2010, 19 (02) :134-152
[5]   How some types of risk assessments can support resilience analysis and management [J].
Aven, Terje .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 167 :536-543
[6]   A multi-objective stochastic programming approach for supply chain design considering risk [J].
Azaron, A. ;
Brown, K. N. ;
Tarim, S. A. ;
Modarres, M. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 116 (01) :129-138
[7]   In search of a circular supply chain archetype - a content-analysis-based literature review [J].
Batista, Luciano ;
Bourlakis, Michael ;
Smart, Palie ;
Maull, Roger .
PRODUCTION PLANNING & CONTROL, 2018, 29 (06) :438-451
[8]   An empirically derived agenda of critical research issues for managing supply-chain disruptions [J].
Blackhurst, J ;
Craighead, CW ;
Elkins, D ;
Handfield, RB .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (19) :4067-4081
[9]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,
[10]   UNDERSTANDING RESPONSES TO SUPPLY CHAIN DISRUPTIONS: INSIGHTS FROM INFORMATION PROCESSING AND RESOURCE DEPENDENCE PERSPECTIVES [J].
Bode, Christoph ;
Wagner, Stephan M. ;
Petersen, Kenneth J. ;
Ellram, Lisa M. .
ACADEMY OF MANAGEMENT JOURNAL, 2011, 54 (04) :833-856