...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...

... Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only 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...

.... Generally, big data needs to be identified by a number of fundamental characteristics (Daniel, 2015): volume – enormous bulk of data; velocity – daunting flow of information within a supply chain; veracity – noise, abnormality and uncertainty in data; variety – diversity of structured...

...S.M. Riad Shams; Ludovico Solima On the one hand, big data management has engendered enormous potential in exploring new management insights and phenomena, in order to proactively and more meaningfully encounter the contemporary management challenges. As a result, big data analytics...

...Riccardo Rialti; Giacomo Marzi; Cristiano Ciappei; Donatella Busso To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities. Performance Systematic literature review Big data analytics Dynamic capabilities...

... 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 providing evidence on which...

...Gabriele Santoro; Fabio Fiano; Bernardo Bertoldi; Francesco Ciampi Big data management and analytics allow managers “to measure and know radically more about their business and to directly translate that knowledge into decision making and performance” (Brynjolfsson and McAfee, 2012 , p. 4...

... implications for big data research. The authors conducted two case studies with Brazilian enterprises certified by ISO 14001, by conducting interviews, document analysis and direct observation. Implications for a research agenda on big data are also presented. As results, the authors present...

... in the health and well-being of a person, this research explores the opportunities provided by technologies to generate and use a Big Data set that allows for a spatiotemporal methodology to assess the effects of AP on the health of a population, particularly in its relation to CVDs. Based on a Geographical...

...Alberto Ferraris; Alberto Mazzoleni; Alain Devalle; Jerome Couturier 28 07 2018 12 10 2018 21 10 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Big data analytics (BDA) guarantees that data may be analysed...

... these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA. This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory. Big data Organizational culture Structural equation modelling Firm performance...

... orchestration and EO in explaining the performance implications of big data. This is an important contribution as most of the existing literature on resource orchestration is conceptual in nature (Sirmon et al., 2007, 2011). Additionally, we provide important insights from the important emerging...

...Deepa Mishra; Zongwei Luo; Benjamin Hazen; Elkafi Hassini; Cyril Foropon Zongwei Luo can be contacted at: luozw@sustc.edu.cn 21 03 2018 22 05 2018 26 05 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Big data...

... of this paper is to examine when and how organizations build big data analytics capability (BDAC) to improve supply chain agility (SCA) and gain competitive advantage. The authors grounded the theoretical framework in two perspectives: the dynamic capabilities view and contingency theory. To test...

...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...