Supply chain data analytics and supply chain agility: a fuzzy sets (fsQCA) approach

Shamout, Mohamed Dawood

doi:10.1108/ijoa-05-2019-1759

Cited by 27 publications

(37 citation statements)

References 40 publications

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“…It is the degree to which cases belongs to a membership, for example, ‘full membership = 1,’ ‘cross-over point = 0.5’ and ‘full non-membership = 0’. In Table 4, we rescaled the study’s variable anchored on a seven-point Likert scale following prior empirical research guidelines (Fiss, 2011; Mikalef et al , 2019b; Ragin, 2009; Shamout, 2020). We computed percentiles so that the 75th percentiles serve as the threshold for full membership.…”

Section: Resultsmentioning

confidence: 99%

Impact of knowledge-based HRM, business analytics and agility on innovative performance: linear and FsQCA findings from the hotel industry

Al-Qaralleh

Atan

2021

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Purpose The emergence of the knowledge economy and Industry 4.0 has prompted many firms to invest considerable resources into knowledge-based human resource management (HRM) practices and business analytics capabilities aimed at enhancing competitiveness. This paper aims to propose a conceptual model that examines the collective effects of knowledge-based HRM practices, business analytics capabilities and organizational agility on innovative performance using knowledge-based theory as a theoretical framework. Design/methodology/approach The present study empirically tested the above-said idea by surveying (n = 182) individuals with supervisory capacity in Jordanian 4- and 5-star hotels. The obtained data was analyzed using linear modeling and fuzzy sets (fsQCA) techniques. Findings Results from linear modeling revealed that knowledge-based HRM practices, business analytics and organizational agility are important antecedents for innovative performance. Conversely, findings from fsQCA revealed that organizational agility is a necessary and sufficient condition to achieve high innovative performance. While business analytics is a sufficient condition to achieve high innovative performance. Originality/value This study is among the first to unveil the linear and complimentary effects of knowledge-based HRM practices, business analytics capabilities and organizational agility on innovative performance. Implications for theory and practice are discussed.

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Section: Resultsmentioning

confidence: 99%

Impact of knowledge-based HRM, business analytics and agility on innovative performance: linear and FsQCA findings from the hotel industry

Al-Qaralleh

Atan

2021

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“…To operationalise fsQCA , the current study calibrated the data from crisp values to fuzzy set (Skarmeas et al , 2014) ranges from “full membership = 1”, “cross-over point = 0.5” and “full non-membership = 0”. In Table 2, the study rescaled the variables (firm’s CBA, MOE, OIC, MES, rethink customer’s experience, SME’s survival strategy) measured by seven-point Likert scale adopting previous scholars recommendation (Fiss, 2011; Mikalef and Pateli, 2017; Ragin, 2009; Shamout, 2020). The detailed description of the construct means with calibration threshold is highlighted in Table 2.…”

Section: Methodsmentioning

confidence: 99%

Survival strategies of SMEs amidst the COVID-19 pandemic: application of SEM and fsQCA

Rahman

Fattah

Bag³

et al. 2022

JBIM

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Purpose As a global pandemic, the COVID-19 crisis has profoundly affected the development of local firms, threatening the survival of small and medium enterprises (SMEs). This study aims to present an integrated framework by investigating the impact of strategic tools (i.e. firms’ capability of business agility, marketing operational efficiency, optimisation of innovation capability [OIC], managing employees’ satisfaction and rethinking customers’ experience) on the survival strategies of SMEs amidst the COVID-19 pandemic. Design/methodology/approach The current study used data from managers of SMEs and conducted an asymmetrical analysis (i.e. structural equation modelling [SEM]) to investigate the factors influencing the survival strategies of SMEs amidst the COVID-19 pandemic. This study also applied an asymmetrical approach (i.e. fuzzy sets qualitative comparative analysis-fsQCA) to explore the causal recipes and analysis of the necessary conditions to identify the factors required to achieve the expected outcome. Findings Results from SEM support all hypotheses. Results from fsQCA with the same data set show that firms’ business agility and OIC are necessary conditions for SMEs’ survival strategies. The result from fsQCA also reveals multiple sufficient conditions to succeed SMEs’ survival strategies amidst the COVID-19 pandemic. Practical implications Findings prescribe how SMEs adapt to this vulnerable business condition by applying the strategic tools and recipes suggested for survival. Originality/value This research applied an innovative analysis to reveal necessary and sufficient conditions that conventional methods such as SEM have limited power. This pioneering research in the context of the COVID-19 pandemic is considered novel in terms of the prescriptive strategic recipes offered to SMEs to adapt to and survive in the crisis caused by COVID-19.

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“…Dai and Bai (2020) proposed an agricultural product supplier selection algorithm on the basis of the Pythagorean fuzzy power Bonferroni mean operator to deal with a supplier selection problem. Shamout (2020) applied the fuzzy setsbased qualitative comparative analysis technique to establish causal relations for achieving high scores of SC agility. Abdullah and Otheman (2017) proposed a modified technique with interval type-2 fuzzy sets and the linguistic weighted average operator to handle the problem of supplier selection.…”

Section: Other Fuzzy Methodsmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.

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Supply chain data analytics and supply chain agility: a fuzzy sets (fsQCA) approach

Cited by 27 publications

References 40 publications

Impact of knowledge-based HRM, business analytics and agility on innovative performance: linear and FsQCA findings from the hotel industry

Impact of knowledge-based HRM, business analytics and agility on innovative performance: linear and FsQCA findings from the hotel industry

Survival strategies of SMEs amidst the COVID-19 pandemic: application of SEM and fsQCA

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

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