... intelligence (AI) and big data analytics (BDA), as well as the search breadth as a measure of inbound OI. Design/methodology/approach To answer this research question, an econometric analysis is conducted on a sample of Germany firms using the Mannheim Innovation Panel dataset from the wave conducted...

...Zafer Adiguzel; Fatma Sonmez Cakir Purpose The purpose is to understand how green information systems (GIS) and big data analytics (BDA) infrastructure flexibility contribute to sustainable practices through green technological turbulence (GTT) and how they help energy companies achieve...

...Chin-Tsu Chen; Shih-Chih Chen; Asif Khan; Ming K. Lim; Ming-Lang Tseng Purpose The theoretical background bases on the big data analytics-artificial intelligence (BDA-AI) technologies and supply chain ambidexterity (SCAX) in the firms to assess their sustainability endeavors such as green supply...

... and customer satisfaction. Design/methodology/approach The research model focuses on whether (1) Big Data Analytics (BDA) leadership influences BDA talent quality, (2) BDA talent quality influences BDA security quality, (3) BDA talent quality influences BDA privacy quality, (4) BDA talent quality...

... for the stimulating effect of image content concerning SME. Based on the theoretical implications of this study, marketing and media content practitioners can enhance the efficacy of SM posts in engaging users. Social media engagement Deep learning Multimodal analysis Stimulus-response model Big data analytics...

...Maryam Ziaee; Himanshu Kumar Shee; Amrik Sohal Purpose Drawing on information processing view (IPV) theory, the objective of this study is to explore big data analytics (BDA) in pharmaceutical supply chain (PSC) for better business intelligence. Supply chain operations reference (SCOR) model...

...Parisa Maroufkhani; Mohammad Iranmanesh; Morteza Ghobakhloo Purpose The study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium...

...Rakesh Raut; Vaibhav Narwane; Sachin Kumar Mangla; Vinay Surendra Yadav; Balkrishna Eknath Narkhede; Sunil Luthra Purpose This study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority...

...Shuai Luo; Hongwei Liu; Ershi Qi Purpose The purpose of this paper is to propose a comprehensive framework for integrating big data analytics (BDA) into cyber-physical system (CPS) solutions. This framework provides a wide range of functions, including data collection, smart data preprocessing...

...Shi Cheng; Qingyu Zhang; Quande Qin Purpose – The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field...

... to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design...

...Dr Xiaojun Wang, Professor Leroy White and Professor Xu Chen; Kun Chen; Xin Li; Huaiqing Wang Purpose – Although big data analytics has reaped great business rewards, big data system design and integration still face challenges resulting from the demanding environment, including challenges...