...Matti Haverila; Jenny Carita Twyford; Caitlin McLaughlin; Mehak Arora Purpose This paper examines the impact of personnel knowledge on the quality of big data marketing analytics (BDMA) against the backdrop of the knowledge-based theoretical framework. Design/methodology/approach This study...

... modelling to analyse the data. Findings Results indicate that AI-driven decision making is positively related to firm performance and that big data-powered AI positively influences AI-driven decision making. Moreover, there is a positive relationship between big data-powered AI and the development of AI...

... analytics in their organizations? (2) What are the characteristics of the approaches adopted? Data analytics Big data Managers Resource orchestration theory France The term ‘big data’ encompasses the technologies, processes and techniques that an organization can create, manipulate...

...Xiaobo Wu; Liping Liang; Siyuan Chen Purpose As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic...

...Roberto Salazar-Reyna; Fernando Gonzalez-Aleu; Edgar M.A. Granda-Gutierrez; Jenny Diaz-Ramirez; Jose Arturo Garza-Reyes; Anil Kumar Purpose The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining...

...Dieu Hack-Polay; Mahfuzur Rahman; Md Morsaline Billah; Hesham Z. Al-Sabbahy Purpose The purpose of this article is to discuss issues associated with the application big data analytics for decision-making about the introduction of new technologies in the textile industry in the developing world...

...Riccardo Rialti; Giacomo Marzi; Andrea Caputo; Kayode Abraham Mayah Purpose This research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational...

... with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE). A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement...

...S.M. Riad Shams; Ludovico Solima Big data analytics and management has received enormous attention from academics and practitioners of a number of knowledge streams, in general, because of its practical cross-functional contribution, and further cross-disciplinary implications and potentials...

..., several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities...

... time, the research clarifies the mediated effect of firms’ investment in Big Data in the relations between human resources’ organizational behavior and the firms’ economic performance. The paper extends previous managerial contributions about Big Data management and human resource management...

... of IS to environmental management; and to draw a research agenda on the potential role that big data will play in the relation IS-corporate environmental management. Following, we present a conceptual synthesis on the topics needed to understand the study: Environmental management in organizations...

...Anitha Chinnaswamy; Armando Papa; Luca Dezi; Alberto Mattiacci In recent years, the technology landscape has continuously evolved resulting in new business trends and reshaping of competitive strategies across a wide range of industries. Information technologies and Big Data are changing...

... for a firm’s competitiveness (Boisot and Canals, 2004 ; Del Giudice and Straub, 2011 ; Del Giudice and Della Peruta, 2016 ; Sumbal et al., 2017). In particular, big data has achieved increasing attention. Big data consists of data sets whose size is beyond the capacity of typical database software...

... and discussed in light of the emergence of this new phenomenon. Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance...

... in the rapidly changing environment. Therefore, implementing ERP systems on the cloud platform is showcased for resolving the limitations of ERP systems and provides better scalability, reliability, availability and cost efficiency that are all the very components for a higher FP. On the other hand, big data...

...Jing Zeng; Zaheer Khan This study makes three key contributions to the existing literature on big data and its implications for company performance. First, we bring resource orchestration into the domain of big data and identify an EO as one of the key factors through which companies bundle...

... advantage by applying value-creating strategies (Eisenhardt and Martin, 2000 ; Peteraf and Barney, 2003 ; Cheng and Shiu, 2015). Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how...

.... Moreover, the results may further motivate future scholars to replicate the findings using longitudinal data. Big data Contingency theory Dynamic capability view Analytics capability Big data analytics capability Rameshwar Dubey can be contacted at: r.dubey@montpellier-bs.com...

...Jane Elisabeth Frisk; Frank Bannister Purpose Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order...