A study of the key factors contributing to the bullwhip effect in the supply chain of the retail industry

Chang, An-Yuan; Yu, Hong-Fwu; Yang, Tzu-Hao

doi:10.1080/21681015.2013.849767

Cited by 8 publications

(5 citation statements)

References 24 publications

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“…In terms of the filtering indicator, the decision-maker set the threshold value S; this study was done based on the threshold value being the majority result from previous studies, and the requirement for this study was set as 6. G i values below six can be deleted [47,48]. Eliminated items are shaded, and the final results of the FDM are shown in Tables 3-7.…”

Section: Resultsmentioning

confidence: 99%

Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method

Tseng

Huang

et al. 2022

Sustainability

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Resilience is the concept that emphasizes change and adaptation and focuses on the capacity to absorb shocks and still maintain function. How can an Indigenous community assess the resilience of the tribe when it is affected by an array of obstacles? What are the assessment factors of resilience? This study consolidated relevant literature on resilience through in-depth interviews and the Fuzzy Delphi Method (FDM) to identify the resilience indicators for Indigenous community development. It eventually identified 5 domains, 26 types, and 45 evaluation indicators. The final indicators are divided into five domains: economic, social, cultural, environmental, and policy. The social resilience indicators: “the ability to overcome obstacles”, “the ability to accept stimuli”, and “the degree of connection between tribal and external resources” were not mentioned in the past studies of resilience. For the first time, the following cultural resilience indicator was also included: “maintain the traditional ancestral teachings and respect for ancestral norms”. Finally, this study suggests that follow-up research may extend these resilience indicators and apply them to other Indigenous tribes. These 26 types of assessment will also be the factors that must be considered in the process of adaptation and reconstruction when the community is faced with emergencies or catastrophes.

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Section: Resultsmentioning

confidence: 99%

Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method

Tseng

Huang

et al. 2022

Sustainability

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“…, 2013). Using interpretive structural modelling, Chang et al. (2013) showed how interrelated elements in supply chains (e.g.…”

Section: Discussion Of the Categories And Causesmentioning

confidence: 99%

“…Incentives that may lead to a particular behaviour due to expected rewards and punishments associated with various actions can have a major impact on decision-making (Carter and Seifert, 2012). Causes listed within the overarching category named "causes related to misaligned incentives" are related to either the creation of a local incentive to optimize costs which is not aligned with the overall supply chain objective to avoid order variance amplification or the action as a response to such an incentive.…”

Section: Causes Related To Misaligned Incentivesmentioning

confidence: 99%

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Causes of the bullwhip effect: a systematic review and categorization of its causes

Brauch,

Mohaghegh,

Größler

2024

MRR

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Purpose One pertinent dynamic phenomenon in supply chains is the amplification of order variance, i.e. the bullwhip effect. Its continued significance is underscored in contemporary empirical research. While numerous publications have pinpointed various causes of the bullwhip effect, there remains a gap in their systematic consolidation. The purpose of this paper is to compile a comprehensive list of the causes of the bullwhip effect from existing literature and categorize them appropriately. Design/methodology/approach This study conducts a systematic literature review to offer a comprehensive overview of bullwhip effect causes addressed in the existing literature. The identified causes are categorized using a qualitative content analysis approach. Findings The study shows the diversity of the causes of the bullwhip effect and their interdependencies. In addition, this study demonstrates that, at the highest level of aggregation, causes of the bullwhip effect can be classified into four main categories: causes inherent in the system structure, causes related to uncertainty, causes related to misaligned incentives and causes related to inadequate cognition of the situation. Originality/value The work provides an extensive overview and categorization of bullwhip effect causes, offering valuable insights for both researchers and practitioners seeking a deeper understanding of this phenomenon. In addition, it underscores managerial implications and highlights future research opportunities.

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“…The above studies addressed the uncertainty in weight computation using hierarchical approaches and fuzzy concepts. However, the interaction among criteria plays a huge impact in computing the weights of the criteria (Chang et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

Application of interpretative structural modelling integrated multi criteria decision making methods for sustainable supplier selection

Girubha

Vinodh

Vimal

2016

Jnl of Modelling in Management

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Purpose The purpose of this paper is to report a study on the application of interpretative structural modelling (ISM) integrated with multi-criteria decision-making (MCDM) techniques for enabling the sustainability supplier selection. Design/methodology/approach In this paper, two approaches of hybrid MCDM methods are followed and the selection of sustainable supplier was based on the comparative results obtained from both the methods. The first hybrid approach is ISM – analytic network process (ANP) – ELimination and Et Choice Translating REality (ELECTRE II) and the second hybrid approach is ISM – ANP – Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). ISM was used to identify the inter relationship between the criteria. Inter-relationship of criteria obtained from ISM will serve as an input for ANP. The weights obtained from ANP will be used in ELECTRE II and VIKOR. ELECTRE II is an outranking method, whereas VIKOR is a compromise ranking method; comparison of both the methods was carried out in this study. Findings In this study, two modules ISM–ANP – ELECTRE and ISM–ANP – VIKOR were compared for the problem of sustainable supplier selection. ELECTRE results with a single solution showed that Supplier 2 can be selected as the best supplier; VIKOR result shows that Supplier 1 and Supplier 2 can be selected as the best suppliers. Originality/value The selection of sustainable supplier considering the interrelationship of criteria using ISM and ranking the alternatives using compromise and outranking techniques was found to be original and novel contribution of the author.

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A study of the key factors contributing to the bullwhip effect in the supply chain of the retail industry

Cited by 8 publications

References 24 publications

Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method

Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method

Causes of the bullwhip effect: a systematic review and categorization of its causes

Application of interpretative structural modelling integrated multi criteria decision making methods for sustainable supplier selection

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