Big data, knowledge co-creation and decision making in fashion industry

Acharya, Abhilash; Singh, Sanjay Kumar; Pereira, Vijay; Singh, Poonam

doi:10.1016/j.ijinfomgt.2018.06.008

Cited by 184 publications

(120 citation statements)

References 86 publications

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“…In these studies, issues identified as essential for value co-creation in DBEs include ereadiness (Herdon et al, 2012), capability assessment (Sun et al, 2016), value creation processes (Selander et al, 2010) and inter-network competitions (Tan et al, 2009). So far, in the value co-creation literature, the focus has been on customer engagement (e.g., Acharya, Singh, Pereira, & Singh, 2018;Kamboj, Sarmah, Gupta, & Dwivedi, 2018). Thus, the findings from the articles reviewed offer additional insights not pronounced in the value cocreation literature.…”

Section: Business Issues Themementioning

confidence: 99%

Digital business ecosystem: Literature review and a framework for future research

Senyo

Liu

Effah

2019

International Journal of Information Management

317

174

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Digital innovation has radically changed how organisations collaborate and compete. Coupled with this change are new collaborative value creation networks such as digital business ecosystems (DBEs). DBE is a socio-technical network of individuals, organisations and technologies that collectively co-create value. Since the emergence of DBE over a decade ago, there have been limited attempts to critically review and synthesise the body of knowledge presented over the years. Thus, the purpose of this paper is to fill this gap in DBE research by: (1) developing a comprehensive framework that synthesises and provides an overall direction of DBE research; (2) pointing out gaps in DBE literature; and (3) providing future research directions. To address this purpose, we systematically analysed 101 research articles on DBE. The findings provide insightful revelations to address some limitations in the current DBE research. As such, this study makes important contributions and serves as a useful resource for future DBE studies and practice.

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Section: Business Issues Themementioning

confidence: 99%

Digital business ecosystem: Literature review and a framework for future research

Senyo

Liu

Effah

2019

International Journal of Information Management

317

174

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“…Hence, organizations have increasingly relied over business analytics capabilities to improve their decision-making abilities. Despite increasing popularity, the academic literature on data analytics capability is still underdeveloped (Hazen et al 2016;Fang et al 2016;Srinivasan and Swink, 2018;Acharya et al 2018). The literature on data analytics carries inconsistent meaning.…”

Section: Data Analytics Capabilitymentioning

confidence: 99%

Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience

Dubey

Gunasekaran

Childe

et al. 2019

International Journal of Production Research

562

536

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The supply chain resilience and data analytics capability has generated increased interest in academia and among practitioners. However, existing studies often treat these two streams of literature independently. Our study model reconciles two different streams of literature: data analytics capability as a means to improve information-processing capacity and supply chain resilience as a means to reduce a ripple effect in supply chain or quickly recover after disruptions in the supply chain. We have grounded our theoretical model in the organizational information processing theory (OIPT). The four research hypotheses are further tested using responses from 213 Indian manufacturing organizations collected via a survey-based pre-tested instrument. We further test our model using variance based structural equation modelling, popularly known as PLS-SEM. All of hypotheses were supported. The findings of our study offer a unique contribution to information systems (IS) and operations management (OM) literature. The findings further provide numerous directions to the supply chain managers. Finally, we note our study limitations and provide further research directions.

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“…In their exploratory enquiry, scholars suggested (Acharya et al, 2018;Braganza et al, 2017;Jabbour et al, 2019) suggested a framework for big data management capabilities suited to facilitate the process of value creation from big data. According to the authors, these are the capabilities to democratise, contextualise, experiment with and execute data.…”

Section: Knowledge-based Dynamic Capabilities Viewmentioning

confidence: 99%

Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level

Shamim

Zeng

Choksy

et al. 2020

International Business Review

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Big data, knowledge co-creation and decision making in fashion industry

Cited by 184 publications

References 86 publications

Digital business ecosystem: Literature review and a framework for future research

Digital business ecosystem: Literature review and a framework for future research

Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience

Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level

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