Amjad Ali, Asim Rafiq, Muddassir Hussien, Salman Sarwat, Abdul Raziq
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Exploring Big Data Usage to Predict Supply Chain Effectiveness: A Moderated and Mediated Model Linkage
This study aims to predict the direct and indirect relationship between the usage of Big Data and the effectiveness of the Supply Chain (SC). Additionally, it identifies Top Management Support (TMS) as a moderator. The data were collected through the survey of small and medium-sized businesses (SMEs) and most respondents were senior and middle-level managers with in-depth knowledge of the SC and Big Data usage. SPSS and PLS 3.0 were used to test the hypothesis. The results demonstrate that Big Data usage impacts direct supply chain effectiveness (SCE), however, supply chain agility (SCA) and supply chain networks (SCNs) as mediators between SCE. TMS was used as a moderator between big data usage, SCA and SCNs. The research suggests that, among SMEs, this is the first study to be carried out in Pakistan that looked at the relationship between the usage of big data and the efficacy of SCs, with TMS acting as a moderator (SMEs).
期刊介绍:
Global Business Review is designed to be a forum for the wider dissemination of current management and business practice and research drawn from around the globe but with an emphasis on Asian and Indian perspectives. An important feature is its cross-cultural and comparative approach. Multidisciplinary in nature and with a strong practical orientation, this refereed journal publishes surveys relating to and report significant developments in management practice drawn from business/commerce, the public and the private sector, and non-profit organisations. The journal also publishes articles which provide practical insights on doing business in India/Asia from local and global and macro and micro perspectives.