INFORMATION AS A KEY DRIVER OF BUSINESS-MODEL INNOVATION IN DIGITAL TRANSFORMATION

Authors

  • Andrey O Temnikov South Ural State University, Chelyabinsk
  • Mariya V Podshivalova South Ural State University, Chelyabinsk

Keywords:

digitalization, digital transformation, knowledge economy, business models, data, information, value of information, big data, data-driven management.

Abstract

The article examines different approaches to the definition of digitalization and also considers key growth drivers of companies in terms of digital economy. Moreover, based on relationship between the type of a business model and profitability of a company, we suggest data as the main asset in digital economy. The authors systematized the main benefits of data management for companies, namely: their capability to provide competitive advantage, raise the quality of the decision-making process, increase the operational efficiency of the business through reducing the cost of delivery and storage of materials, and increasing the profitability of sales. The factors impacting the company's ability to manage information are identified, further fields of research in assessing their impact are indicated. Also, the authors suggest to consider issues in the field of data management at enterprises. A new-for-business was problem identified: financial management in terms of digital economy – the lack of transparent methods for presenting data in accounting and financial accounting, as well as the related problems of financial analysis, including overestimated return on assets, distortion of financial stability indicators and distortion of business valuation.

Author Biographies

Andrey O Temnikov, South Ural State University, Chelyabinsk

Postgraduate student of the Department of Financial Technology

Mariya V Podshivalova, South Ural State University, Chelyabinsk

Candidate of Sciences (Economics) Associate Professor of the Department of Financial Technology

References

Ritter T., Pedersen C.L. Digitization Capability And The Digitalization Of Business Models In Business-To-Business Firms: Past, Present, And Future. Industrial Marketing Management, 2019. Available at: https://www.sciencedirect.com/science/article/pii/S0019850119300999

Weill, P., Woerner S. What's Your Digital Business Model?: Six Questions to Help You Build the Next-Generation Enterprise. Harvard Business Review, Boston, 2018. 256 p.

Fischer, M., Imgrund, F., Janiesch Ch., Winkelmann, A. Strategy Archetypes For Digital Transformation: Defining Meta Objectives Using Business Process Management. Information & Management, 2020. Available at: https://www.sciencedirect.com/science/article/pii/S0378720618303197

Bharadwaj, A., El Sawy, O., Pavlou, A.O., Venkatraman, N. Digital Business Strategy: Toward A Next Generation Of Insights. MIS Quarterly, 2013. Available at: https://www.semanticscholar.org/paper/Digital-business-strategy%3A-toward-a-next-generation-Bharadwaj-Sawy/00e62a7090ab72c5d1dfaebaa0c705708026c0e0

Ross, J. Don’t confuse digital with digitization. MIT Sloan Management Review, 2017. Available at: https://sloanreview.mit.edu/article/dont-confuse-digital-with-digitization/

Минин А. Как цифровая экономика меняет бизнес // Deloitte. – 2018 [Minin A. [How the digital econ-omy change business]. Deloitte, 2018. (in Russ.)]. Available at: https://www2.deloitte.com/ru/ru/ pages/about-deloitte/deloitte-in-press/2018/kak-cifrovaya-ehkonomika-menyaet-biznes.html

Reinsel D., Gantz J., Rydning J. Data Age 25. The Digitization of the World From Edge to Core. Seagate, International Data Corporation, 2018. Available at: https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf

Адлер Ю.П., Шпер В.Л. Практическое руководство по статистическому управлению процессами. М.: Альпина Паблишер, 2019. 234 с. [Adler Yu.P., Shper V.L. [Practical guide to statistical process manage-ment]. Moscow, 2019. 234 p.]

Janssen M., van der Voort H., Wahyudi A. Factors influencing big data decision-making quality. Journal of Business Research, 2017. Available at: https://www.sciencedirect.com/science/article/pii/ S0148296316304945

McAfee A., Brynjolfsson E. Big data: the management revolution. Harvard Business Review, 2012. Available at: https://hbr.org/2012/10/big-data-the-management-revolution

Wamba S.F., Gunasekaran A., Akter S., Ren S.J., Dube, R., Childe S.J. Big data analytics and firm per-formance: Effects of dynamic capabilities. Journal of Business Research, 2017. Available at: https://www.sciencedirect.com/science/article/pii/S0148296316304969

Duhigg Ch. The Power of Habit: Why We Do What We Do in Life and Business. Random House Trade Paperbacks, New York, 2012. 371 p.

Phillips T. Data-driven business: Use real numbers to improve your performance by 352 %. Infinite Ideas, Oxford, 2016. 192 p.

Chengalur-Smith I., Duchessi P., Gil-Garcia J.R. Information sharing and business systems leveraging in supply chains: An empirical investigation of one web-based application. Information and Management, 2012. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0378720611001054

Gupta M., George J.F. Toward the Development of a big data analytics capability. Information and Management, 2016. Available at: https://www.sciencedirect.com/science/article/pii/S0378720616300787

Shamim S., Zeng J., Shariq M., Khan Z. Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view. Information & Management, 2019. Available at: https://www.sciencedirect.com/science/article/pii/S0378720618302854

Published

2021-04-13

Issue

Section

Investment management and innovation