Aspectual Analysis as an alternative way of understanding the definitions of Big Data

This paper considers the application of philosophy to the field of Big Data. In particular, the paper considers how “Dooyeweerd’s aspects of everyday life” can contribute to the reconceptualization of Big Data. The paper reviews recent debates relating to Big Data as a concept by investigating the meaning of Big Data definitions gathered in the De Mauro study published in 2015. In doing so, Dooyeweerd’s “philosophy of everyday life” can assist us, not only in finding the more precise meaning of definitions, but also in contributing to concepts that help our understanding of Big Data. In conclusion, this study shows a useful way of exploring the meaning of Big Data definitions towards affirming and enriching them

Five Paradigms of Information system use: Affirmation, critique and enrichment

Though information systems use has been much discussed since at least the 1980\u27s, much of it in terms of Davis; famous Technology Acceptance Modle, the discussion still leaves much to be desired. This paper identifies five paradigms under which discussion takes place, and finds problems with all of them. It then calls upon Dooyeweerd\u27s philosophy to provide a framework for understanding IS use, into which all of the paradigms can be situated. It shows how Dooyeweerd can affirm, critique and enrich each paradigm and, perhaps, provide a more satisfactory understanding of IS use

The Manufacturers Big Data Capabilities in Achieving a low carbon emission future in the UK

This study explores how manufacturing companies can leverage dynamic capabilities and big data analytics to enhance supply chain performance and reduce carbon emissions. Despite the significance of these factors, their integration has been underexplored. Through a three-stage qualitative research process, including expert interviews, literature analysis, and a Tess-Valley-based project, we aim to bridge this gap. The findings will validate existing literature and identify barriers to adopting sustainable practices, contributing to dynamic capabilities theory and environmental sustainability in the field of Information Systems

The Manufacturers Big Data Capabilities in Achieving a low carbon emission future in the UK

This study explores how manufacturing companies can leverage dynamic capabilities and big data analytics to enhance supply chain performance and reduce carbon emissions. Despite the significance of these factors, their integration has been underexplored. Through a three-stage qualitative research process, including expert interviews, literature analysis, and a Tess-Valley-based project, we aim to bridge this gap. The findings will validate existing literature and identify barriers to adopting sustainable practices, contributing to dynamic capabilities theory and environmental sustainability in the field of Information Systems

Giving Justice to the Growing University Choice Factors: Application of Dooyeweerd’s Philosophy

This study delves into the variety and commonalities in factors influencing students' university choices. Analyzing 45 factors identified by Hemsley-Brown and Oplatka (2014) through Dooyeweerd's aspects reveals a nuanced understanding of these choice factors. Dooyeweerd's philosophy clarifies and accommodates the diverse considerations within higher education, offering a fresh perspective on classifying diversity in consumer decision-making disciplines