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Open accessJournal ArticleDOI: 10.1080/00207543.2020.1856958

Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis

04 Mar 2021-International Journal of Production Research (Informa UK Limited)-Vol. 59, Iss: 5, pp 1573-1585
Abstract: This study evaluates the antecedents and consequences of supply chain risk management capabilities. Informed by the information processing theory, we conceptualize supply chain disruption orientati...

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Topics: Supply chain risk management (68%), Supply chain (57%), Resilience (network) (55%) ... show more
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15 results found


Open accessPosted Content
Abstract: The main objective of the study is to understand how big data analytics capability (BDAC) as an organizational culture can enhance trust and collaborative performance between civil and military organizations engaged in disaster relief operations. The theoretical framework is grounded in organizational information processing theory (OIPT). We have conceptualized an original theoretical model to show, using the competing value model (CVM), how BDAC, under a moderating influence of organizational culture, affects swift trust (ST) and collaborative performance (CP). We used WarpPLS 6.0 to test the proposed research hypotheses using multi-respondent data gathered through an email questionnaire sent to managers working in 373 organizations, including the military forces of different countries, government aid agencies, UN specialized agencies, international non-government organizations (NGOs), service providers, and contractors. The results offer four important implications. First, BDAC has a positive, significant effect on ST and CP. Second, flexible orientation (FO) and controlled orientation (CO) have no significant influence on building ST. Third, FO has a positive and significant moderating effect on the path joining BDAC and CP. Finally, CO has negative and significant moderating effect on the path joining BDAC and CP. The control variables: temporal orientation (TO) and interdependency (I) have significant effects on ST and CP. These results extend OIPT to create a better understanding of the application of information processing capabilities to build swift trust and improve collaborative performance. Furthermore, managers can derive multiple insights from this theoretically-grounded study to understand how BDAC can be exploited to gain insights in contexts of different management styles and cultures. We have also outlined the study limitations and provided numerous future research directions. (This abstract was borrowed from another version of this item.)

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100 Citations


Journal ArticleDOI: 10.1108/IJLM-11-2020-0448
Dmitry Ivanov1Institutions (1)
Abstract: Purpose: Supply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency This, however, can be inefficient Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value Design/methodology/approach: We conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations Findings: Building upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events We identify 10 future research areas for lean resilience integrating management and digital platforms and technology Practical implications: The outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm Originality/value: We propose a novel approach to bring more dynamics to the notion of supply chain resilience We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets We offer a discussion on ten future research directions towards a lean resilience © 2021, Emerald Publishing Limited

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30 Citations


Journal ArticleDOI: 10.1080/00207543.2021.1890852
Dmitry Ivanov1Institutions (1)
Abstract: The COVID-19 pandemic has challenged supply chains (SC) on an unprecedented scale testing viability and adaptation under severe uncertainty. However, the literature on the adaptation strategies and...

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Topics: Supply chain (52%)

30 Citations


Open accessJournal ArticleDOI: 10.1007/S10479-021-03974-9
Abstract: Supply chain viability (SCV) is an emerging concept of growing importance in operations management. This paper aims to conceptualize, develop, and validate a measurement scale for SCV. SCV is first defined and operationalized as a construct, followed by content validation and item measure development. Data have been collected through three independent samplings comprising a total of 558 respondents. Both exploratory and confirmatory factor analyses are used in a step-wise manner for scale development. Reliability and validity are evaluated. A nomological model is theorized and tested to evaluate nomological validity. For the first time, our study frames SCV as a novel and distinct construct. The findings show that SCV is a hierarchical and multidimensional construct, reflected in organizational structures, organizational resources, dynamic design capabilities, and operational aspects. The findings reveal that a central characteristic of SCV is the dynamic reconfiguration of SC structures in an adaptive manner to ensure survival in the long-term perspective. This research conceptualizes and provides specific, validated dimensions and item measures for SCV. Practitioner directed guidance and suggestions are offered for improving SCV during the COVID-19 pandemic and future severe disruptions.

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Topics: Nomological network (57%)

17 Citations


Open accessJournal ArticleDOI: 10.1007/S10479-021-04047-7
Dmitry Ivanov1Institutions (1)
Abstract: Entering the COVID-19 pandemic wreaked havoc on supply chains Reacting to the pandemic and adaptation in the "new normal" have been challenging tasks Exiting the pandemic can lead to some after-shock effects such as "disruption tails" While the research community has undertaken considerable efforts to predict the pandemic's impacts and examine supply chain adaptive behaviors during the pandemic, little is known about supply chain management in the course of pandemic elimination and post-disruption recovery If capacity and inventory management are unaware of the after-shock risks, this can result in highly destabilized production-inventory dynamics and decreased performance in the post-disruption period causing product deficits in the markets and high inventory costs in the supply chains In this paper, we use a discrete-event simulation model to investigate some exit strategies for a supply chain in the context of the COVID-19 pandemic Our model can inform managers about the existence and risk of disruption tails in their supply chains and guide the selection of post-pandemic recovery strategies Our results show that supply chains with postponed demand and shutdown capacity during the COVID-19 pandemic are particularly prone to disruption tails We then developed and examined two strategies to avoid these disruption tails First, we observed a conjunction of recovery and supply chain coordination which mitigates the impact of disruption tails by demand smoothing over time in the post-disruption period Second, we found a gradual capacity ramp-up prior to expected peaks of postponed demand to be an effective strategy for disruption tail control

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14 Citations


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63 results found


Journal ArticleDOI: 10.1037/0021-9010.88.5.879
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

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Topics: Response bias (60%)

41,990 Citations


Journal ArticleDOI: 10.1177/014920638601200408
Philip M. Podsakoff1, Dennis W. Organ1Institutions (1)
Abstract: Self-reports figure prominently in organizational and management research, but there are several problems associated with their use. This article identifies six categories of self-reports and discusses such problems as common method variance, the consistency motif, and social desirability. Statistical and post hoc remedies and some procedural methods for dealing with artifactual bias are presented and evaluated. Recommendations for future research are also offered.

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Topics: Common-method variance (51%)

12,813 Citations


Journal ArticleDOI: 10.1037/0033-2909.110.2.305
Kenneth A. Bollen1, Richard D. Lennox1Institutions (1)
Abstract: The applicability of 5 conventional guidelines for construct measurement is critically examined: (a) Construct indicators should be internally consistent for valid measures, (b) there are optimal magnitudes of correlations between items, (c) the validity of measures depends on the adequacy with which a specified domain is sampled, (d) within-construct correlations must be greater than between-construct correlations, and (e) linear composites of indicators can replace latent variables. A structural equation perspective is used, showing that without an explicit measurement model relating indicators to latent variables and measurement errors, none of these conventional beliefs hold without qualifications. Moreover, a "causal" indicator model is presented that sometimes better corresponds to the relation of indicators to a construct than does the classical test theory "effect" indicator model.

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Topics: Latent variable (54%), Construct validity (51%), Validity (51%)

3,106 Citations


Open accessJournal ArticleDOI: 10.1108/09574090410700275
Martin Christopher1, Helen Peck1Institutions (1)
Abstract: In today's uncertain and turbulent markets, supply chain vulnerability has become an issue of significance for many companies. As supply chains become more complex as a result of global sourcing and the continued trend to “leaning‐down”, supply chain risk increases. The challenge to business today is to manage and mitigate that risk through creating more resilient supply chains.

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Topics: Supply chain risk management (74%), Supply chain (67%), Service management (63%) ... show more

2,012 Citations


Journal ArticleDOI: 10.1016/J.IJPE.2005.12.006
Christopher S. Tang1Institutions (1)
Abstract: To gain cost advantage and market share, many firms implemented various initiatives such as outsourced manufacturing and product variety. These initiatives are effective in a stable environment, but they could make a supply chain more vulnerable to various types of disruptions caused by uncertain economic cycles, consumer demands, and natural and man-made disasters. In this paper, we review various quantitative models for managing supply chain risks. We also relate various supply chain risk management (SCRM) strategies examined in the research literature with actual practices. The intent of this paper is three-fold. First, we develop a unified framework for classifying SCRM articles. Second, we hope this review can serve as a practical guide for some researchers to navigate through the sea of research articles in this important area. Third, by highlighting the gap between theory and practice, we hope to motivate researchers to develop new models for mitigating supply chain disruptions.

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Topics: Supply chain risk management (70%), Supply chain (63%), Service management (62%) ... show more

1,845 Citations