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Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis

Author

Listed:
  • J. Piet Hausberg

    (Osnabrück University)

  • Kirsten Liere-Netheler

    (Osnabrück University)

  • Sven Packmohr

    (Malmö University
    Bahçeşehir University)

  • Stefanie Pakura

    (Hamburg University)

  • Kristin Vogelsang

    (Osnabrück University)

Abstract

Digital transformation (DT) has become a buzzword, triggering different disciplines in research and influencing practice, which leads to independent research streams. Scholars investigate the antecedents, contingencies, and consequences of these disruptive technologies by examining the use of single technologies or of digitization, in general. Approaches are often very specialized and restricted to their domains. Thus, the immense breadth of technologies and their possible applications conditions a fragmentation of research, impeding a holistic view. With this systematic literature review, we aim to fill this gap in providing an overview of the different disciplines of DT research from a holistic business perspective. We identified the major research streams and clustered them with co-citation network analysis in nine main areas. Our research shows the main fields of interest in digital transformation research, overlaps of the research areas and fields that are still underrepresented. Within the business research areas, we identified three dominant areas in literature: finance, marketing, and innovation management. However, research streams also arise in terms of single branches like manufacturing or tourism. This study highlights these diverse research streams with the aim of deepening the understanding of digital transformation in research. Yet, research on DT still lacks in the areas of accounting, human resource management, and sustainability. The findings were distilled into a framework of the nine main areas for assisting the implications on potential research gaps on DT from a business perspective.

Suggested Citation

  • J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
  • Handle: RePEc:spr:jbecon:v:89:y:2019:i:8:d:10.1007_s11573-019-00956-z
    DOI: 10.1007/s11573-019-00956-z
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    as
    1. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    2. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
    3. Sarfraz Mian & Wadid Lamine & Alain Fayolle, 2016. "Technology Business Incubation: An overview of the state of knowledge," Post-Print hal-02014389, HAL.
    4. Kim, Kun & Park, Oun-joung & Yun, Seunghyun & Yun, Haejung, 2017. "What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 362-369.
    5. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    6. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    7. Paul MacDonnell, 2015. "The European Union's Proposed Equality and Data Protection Rules: An Existential Problem for Insurers?," Economic Affairs, Wiley Blackwell, vol. 35(2), pages 225-239, June.
    8. Yang Yu & Ray Qing Cao & Dara Schniederjans, 2017. "Cloud computing and its impact on service level: a multi-agent simulation model," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4341-4353, August.
    9. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    10. Albort-Morant, Gema & Ribeiro-Soriano, Domingo, 2016. "A bibliometric analysis of international impact of business incubators," Journal of Business Research, Elsevier, vol. 69(5), pages 1775-1779.
    11. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    12. Paul J. Reaidy & A. Gunasekaran & A. Spalanzani, 2015. "Bottom-Up Approach based on Internet of things for Order Fulfillment in a Collaborative Warehousing Environment," Post-Print halshs-01374073, HAL.
    13. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    14. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    15. Shah, Naimatullah & Irani, Zahir & Sharif, Amir M., 2017. "Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors," Journal of Business Research, Elsevier, vol. 70(C), pages 366-378.
    16. Christian Arnold & Daniel Kiel & Kai-Ingo Voigt, 2016. "How The Industrial Internet Of Things Changes Business Models In Different Manufacturing Industries," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-25, December.
    17. Raun, Janika & Ahas, Rein & Tiru, Margus, 2016. "Measuring tourism destinations using mobile tracking data," Tourism Management, Elsevier, vol. 57(C), pages 202-212.
    18. Alnoor Bhimani & Leslie Willcocks, 2014. "Digitisation, 'Big Data' and the transformation of accounting information," Accounting and Business Research, Taylor & Francis Journals, vol. 44(4), pages 469-490, August.
    19. Yim, Mark Yi-Cheon & Chu, Shu-Chuan & Sauer, Paul L., 2017. "Is Augmented Reality Technology an Effective Tool for E-commerce? An Interactivity and Vividness Perspective," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 89-103.
    20. Geng Cui & Man Leung Wong & Hon-Kwong Lui, 2006. "Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming," Management Science, INFORMS, vol. 52(4), pages 597-612, April.
    21. Dahlander, Linus & Gann, David M., 2010. "How open is innovation?," Research Policy, Elsevier, vol. 39(6), pages 699-709, July.
    22. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    23. Mazzei, Matthew J. & Noble, David, 2017. "Big data dreams: A framework for corporate strategy," Business Horizons, Elsevier, vol. 60(3), pages 405-414.
    24. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75002, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    25. Singh, Jyoti Prakash & Irani, Seda & Rana, Nripendra P. & Dwivedi, Yogesh K. & Saumya, Sunil & Kumar Roy, Pradeep, 2017. "Predicting the “helpfulness” of online consumer reviews," Journal of Business Research, Elsevier, vol. 70(C), pages 346-355.
    26. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    27. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    28. Christian Matt & Thomas Hess & Alexander Benlian, 2015. "Digital Transformation Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 339-343, October.
    29. Sarfraz Mian & Wadid Lamine & Alain Fayolle, 2016. "Technology Business Incubation : An overview of the state of knowledge," Post-Print hal-02313371, HAL.
    30. Jiayin Qi & Chao Zhu & Yanwu Yang, 2014. "Recommendations based on Social Relationships in Mobile Services," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 424-436, May.
    31. Guo, Liang & Wei, Yinghong Susan & Sharma, Ruchi & Rong, Ke, 2017. "Investigating e-business models’ value retention for start-ups: The moderating role of venture capital investment intensity," International Journal of Production Economics, Elsevier, vol. 186(C), pages 33-45.
    32. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    33. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    34. Mian, Sarfraz & Lamine, Wadid & Fayolle, Alain, 2016. "Technology Business Incubation: An overview of the state of knowledge," Technovation, Elsevier, vol. 50, pages 1-12.
    35. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75202, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    36. Surajit Bag, 2017. "Big Data and Predictive Analysis is Key to Superior Supply Chain Performance: A South African Experience," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 10(2), pages 66-84, April.
    37. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
    38. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    39. Laima Gerlitz, 2016. "Design management as a domain of smart and sustainable enterprise: business modelling for innovation and smart growth in Industry 4.0," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 3(3), pages 244-268, March.
    40. Daniel Schallmo & Christopher A. Williams & Luke Boardman, 2017. "Digital Transformation Of Business Models — Best Practice, Enablers, And Roadmap," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-17, December.
    41. Ray Y. Zhong & Chen Xu & Chao Chen & George Q. Huang, 2017. "Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2610-2621, May.
    42. Yihai He & Linbo Wang & Zhenzhen He & Xun Xiao, 2016. "Modelling infant failure rate of electromechanical products with multilayered quality variations from manufacturing process," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6594-6612, November.
    43. Reaidy, Paul J. & Gunasekaran, Angappa & Spalanzani, Alain, 2015. "Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 29-40.
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    More about this item

    Keywords

    Citation-network analysis; Digital transformation; Gephi; Systematic review;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • L00 - Industrial Organization - - General - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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