scholarly journals Big data approaches and outcome of information asymmetry: Opportunities for future research

2020 ◽  
Author(s):  
MA Mandlik ◽  
Djavlonbek Kadirov

Copyright © 2018 Inderscience Enterprises Ltd. The purpose of this paper is to advocate reorientation of current managerial practices in the light of growing reliance on Big Data strategies by contemporary firms, to make them more consumer-centric in nature. Big data strategies by their very nature and modalities lead to heightened levels of information asymmetry which by default have the capacity to disempower the very user that contributes towards the data driven insights. The fundamental driver for writing this paper is not to criticise big data strategies per se, but to suggest; it is merely a tool which can be equally used for consumer entrapment, as well as consumer empowerment. This paper wishes to contribute to the intellectual debate among academics, policy maker, and practitioners alike; en-route for a type of big data-driven managerial orientation that balances the consumers’ right to market-based transparency, and the enterprise’s need for economic viability.

2020 ◽  
Author(s):  
MA Mandlik ◽  
Djavlonbek Kadirov

Copyright © 2018 Inderscience Enterprises Ltd. The purpose of this paper is to advocate reorientation of current managerial practices in the light of growing reliance on Big Data strategies by contemporary firms, to make them more consumer-centric in nature. Big data strategies by their very nature and modalities lead to heightened levels of information asymmetry which by default have the capacity to disempower the very user that contributes towards the data driven insights. The fundamental driver for writing this paper is not to criticise big data strategies per se, but to suggest; it is merely a tool which can be equally used for consumer entrapment, as well as consumer empowerment. This paper wishes to contribute to the intellectual debate among academics, policy maker, and practitioners alike; en-route for a type of big data-driven managerial orientation that balances the consumers’ right to market-based transparency, and the enterprise’s need for economic viability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.


2020 ◽  
Vol 2 (1) ◽  
pp. 117-149
Author(s):  
Mary B. Ziskin

<?page nr="117"?>Abstract Calls for higher education institutions to implement improvements guided by “data-driven” processes are prevalent and widespread. Despite the pervasiveness of this turn toward data, research on how data-use works on the ground in postsecondary institutions—that is, how individuals within institutions make sense of education data and use it to inform practice—is still developing.Drawing on Habermas’ Theory of Communicative Action (TCA), critical-race theory, and methodological guidance on critical-qualitative research methods, this paper synthesizes methodological and substantive insights from P–12 data-use research, with an eye to applying these insights to critical questions on postsecondary educational equity. The result of the review and analysis is a theoretical framework and a set of methodological recommendations for future research on the perceptions and experiences of college faculty, administrators, and practitioners, regarding their data-use and its implications for equity.


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