Big data analytics and business failures in data-Rich environments: An organizing framework

Amankwah‐Amoah, Joseph; Adomako, Samuel

doi:10.1016/j.compind.2018.12.015

Cited by 46 publications

(37 citation statements)

References 62 publications

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“…For example, unexpected major unpleasant events, so-called "black swans "are poorly predicted by neural networks that are trained on past data and "black swans " are caused by the appearance of new factors that do not fit into past perceptions and trends. Analogies can lead to significant errors in future management [23]. In contrast, the selfdeveloping first prototypes of AI systems today can already find non-standard solutions.…”

Section: Literature Review and Methodological Framework 21 Literature Reviewmentioning

confidence: 99%

Digitalization and Strategic Transformation of Retail Chain Stores: Trends, Impacts, Prospects

Malenkov

Kapustina

Kudryavtseva

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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The study of the transformation of retail chain stores (RCS) due to the impact of digitalization on them is a new problem. The main part of modern scientific research is devoted to separate directions of digitalization and does not consider conceptual aspects of these processes. The purpose of this article is to fill the existing research gap through the development of a new system concept of the digitalization impact on RCS transformations. The study shows the need to clarify the understanding of RCS strategic transformation caused by the drivers of different digitalization processes, which are not well understood today and are not taken into account when developing digitalization strategies. This situation has an extremely negative effect on the quality of RCS development and its competitiveness. The article consistently examines insufficiently covered problems in scientific literature and offers a new conceptual approach to the impact of digitalization on companies with regard to RCS transformation. New digitalization trends and their drivers have a deep impact on RCS transformations. A new system model is needed that integrates superdrivers and the impact of digitalization on the RCS transformation. Causal and heuristic forecasts of prospects, trends and results of digitalization, including contradictory results of AI development are included. We used materials from large retail chains “Magnit”, “Perekrestok” and “M.Video-Eldorado Group”. The research methods used were system modelling, cause and effect links building and heuristic forecasting based on logical models. The main results will be useful for researchers, managers, entrepreneurs and students in developing a clear understanding of digitalization development and its impacts, in order to better work out digitalization strategies and for the development of new directions of scientific research.

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Section: Literature Review and Methodological Framework 21 Literature Reviewmentioning

confidence: 99%

Digitalization and Strategic Transformation of Retail Chain Stores: Trends, Impacts, Prospects

Malenkov

Kapustina

Kudryavtseva

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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“…Fundamentally, this topic focuses on its incidence with unemployment indicators and contribution to a country's economy. It is important to emphasise that this topic is central in the first studies in this line of research and was developed by authors who to this day serve as a reference for new research [5,[116][117][118][119].…”

Section: Content Analysis 421 Research Trendsmentioning

confidence: 99%

Explanatory Factors of Business Failure: Literature Review and Global Trends

2021

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This study aims to provide a bibliometric analysis of business failure research, recognise the main existing research topics and establish future research challenges. The results, based on a sample of 588 articles, show that the number of published papers and citations has grown steadily, especially in the last 14 years. The most productive and relevant journals, countries, institutions and authors are presented using bibliometric performance indicators. In addition, through the graphical mapping of strategic diagrams, this study identifies the most significant research trends and proposes several directions for future research. The results of this research may be helpful for beginner researchers and experts in business failure, as they contribute to bringing clarity to this line of investigation. These results reveal all the aspects involved in business failure research, analysing its temporal and methodological characterisation, and the most prolific authors who have participated in its study (see, i.e., H. Li), leading journals (see, i.e., Expert Systems with Applications) or academic institutions that have headed the scientific analysis of this business phenomenon. Likewise, it has been possible to identify three main areas in which the research on business failure has been focused: business, management and accounting; economics, econometrics and finance; and social sciences. In addition, a complete, synthesised and organised summary of the various definitions, perspectives and research trends are presented.

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“…Hem akademik araştırmacıların hem de küresel araştırma şirketlerinin uluslararası şirketlerde yürütmüş olduğu çalışmalardan hareketle büyük veri stratejileriyle işletme stratejilerinin uyumlaştırılması konusunda şirketlerin nelere dikkat etmesi gerektiğiyle ilgili bilgiler aşağıda özetlenmiştir (Tabesh, Mousavidin ve Hasani, 2019;Amankwah-Amoah ve Adomako, 2019;Akter ve diğerleri, 2016;Rathnam, Johnsen ve Wen, 2005;Lakoju ve Serrano, 2017;Henderson ve Venkatraman, 1996).…”

Section: Büyük Veri Analitiği Ve Stratejik Uyumunclassified