...Stephen Ho; Yue Wang; Chow Hou Wee Purpose This study examines the organisational and environmental conditions under which Singapore small and medium enterprises (SMEs) realise big data analytics (BDA) business value and how that value translates into firm performance. Drawing on the technology...

...Syed Awais Ahmad Tipu; Kamel Fantazy Purpose Drawing upon the dynamic capability view ( DCV ), the current study aims to examine the relationships between big data analytics ( BDA ) capability, circular economy capabilities ( CEC ) and organizational performance ( OP ). In doing so, it explores...

...Ilker Topcu; Birsen Karpak; Füsun Ülengin; Emel Aktas Purpose This study aims to investigate the intersection of supply chain management (SCM) and big data analytics (BDA) through a multidimensional approach that incorporates bibliometric and network analysis (BNA) and a systematic literature...

... marketing capabilities (EMC) and big data analytics (BDA) on these relationships. Design/methodology/approach The data were collected from 469 managers working in Pakistan’s trade- and technology-oriented small and medium-sized industries and analyzed through SPSS and SmartPLS software by using...

...Qiwei Pang; Jian Du; Mingjie Fang; Lu Wang Purpose This study aims to analyze the impact of big data analytics powered by artificial intelligence (AI–BDA) on the sustainable practice performance in shipping organizations and to establish a strategic mechanism to achieve sustainable management...

... learning (ML) and big data analytics (BDA) improve supply chain resilience. Design/methodology/approach This study utilizes the integrated analytic hierarchy process (AHP) – decision-making trial and evaluation laboratory (DEMATEL) as the resolution technique to achieve the objective. By undertaking...

...Abdullah Al Mamun; Mohammad Nurul Hassan Reza; Qing Yang; Norzalita Abd Aziz Purpose Implementing big data analytics (BDA) for supply chain ambidexterity (agility and adaptability) and green supply chain (GRSC) presents various organizational challenges. These include leveraging BDA capabilities...

...Mohammed Ali; Aniekan Essien Purpose The purpose of this study is to explore how big data analytics (BDA) as a potential information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from the perspective of outbound logistics operations in the United Kingdom...

...Mahda Garmaki; Rebwar Kamal Gharib; Imed Boughzala Purpose The study examines how firms may transform big data analytics (BDA) into a sustainable competitive advantage and enhance business performance using BDA. Furthermore, this study identifies various resources and sub-capabilities...

... advantage. Design/methodology/approach Guided by the theory of technological frames of reference (TFR) and transaction cost theory (TCT), this paper describes a real-world case study in the banking industry to explain how to help enterprises leverage big data analytics for changes. Through close...

... for organisations to handle volatile, dynamic and global value networks. This paper aims to investigate the mediating role of “big data analytics” between Supply Chain 4.0 business performance and nine performance factors. Design/methodology/approach A two-stage hybrid model of statistical analysis...

...Narender Kumar; Girish Kumar; Rajesh Kr Singh Purpose The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review...

... at: hitesha1902@gmail.com 24 03 2021 28 06 2021 20 08 2021 30 08 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only COVID-19 Pandemic Sustainable development goals Entrepreneurial orientation Social media Big data analytics...

...Yigit Kazancoglu; Melisa Ozbiltekin Pala; Muruvvet Deniz Sezer; Sunil Luthra; Anil Kumar Purpose The aim of this study is to evaluate Big Data Analytics (BDA) drivers in the context of food supply chains (FSC) for transition to a Circular Economy (CE) and Sustainable Operations Management (SOM...

... and prioritize strategic applications, main drivers, and key challenges of implementing big data analytics in banks. Design/methodology/approach To take advantage of experts' viewpoints, the authors designed and implemented a four-round Delphi study. Totally, 25 eligible experts have contributed...

...Sachin K. Mangla; Rakesh Raut; Vaibhav S. Narwane; Zuopeng (Justin) Zhang; Pragati priyadarshinee Purpose This study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus...

...Murat Özemre; Ozgur Kabadurmus Purpose The purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology. Design/methodology/approach In this study, two different machine learning algorithms, Random Forest (RF) and Artificial...

...Surabhi Verma; Som Sekhar Bhattacharyya Purpose The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors...