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

被引:1
作者
Hausberg J.P. [1 ]
Liere-Netheler K. [1 ]
Packmohr S. [2 ,3 ]
Pakura S. [4 ]
Vogelsang K. [1 ]
机构
[1] Osnabrück University, Rolandstraße 8, Osnabrück
[2] Malmö University, Nordenskiöldsgatan 1, Malmö
[3] Bahçeşehir University, Çırağan Caddesi 4-6, Beşiktaş/Istanbul
[4] Hamburg University, Von-Melle-Park 9, Hamburg
基金
英国科研创新办公室;
关键词
Citation-network analysis; Digital transformation; Gephi; Systematic review;
D O I
10.1007/s11573-019-00956-z
中图分类号
学科分类号
摘要
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. © 2019, The Author(s).
引用
收藏
页码:931 / 963
页数:32
相关论文
共 180 条
[91]  
Kwok L., Yu B., Taxonomy of Facebook messages in business-to-consumer communications: what really works?, Tour Hosp Res, 16, pp. 311-328, (2016)
[92]  
Lake R.W., Big Data, urban governance, and the ontological politics of hyperindividualism, Big Data Soc, 4, (2017)
[93]  
Lam S.K., Sleep S., Hennig-Thurau T., Et al., Leveraging frontline employees’ small data and firm-level big data in frontline management: an absorptive capacity perspective, J Serv Res, 20, pp. 12-28, (2017)
[94]  
Lamba K., Singh S.P., Big data in operations and supply chain management: current trends and future perspectives, Prod Plan Control, 28, pp. 877-890, (2017)
[95]  
Lepak D.P., Smith K.G., Taylor M.S., Value creation and value capture: a multilevel perspective, Acad Manag Rev, 32, pp. 180-194, (2007)
[96]  
Levy Y., Ellis T.J., A systems approach to conduct an effective literature review in support of information systems research, Inf Sci, 9, pp. 181-212, (2006)
[97]  
Li L., Zhong L., Xu G., Kitsuregawa M., A feature-free search query classification approach using semantic distance, Expert Syst Appl, 39, pp. 10739-10748, (2012)
[98]  
Li W., Zhu C., Yang L.T., Et al., Subtask scheduling for distributed robots in cloud manufacturing, IEEE Syst J, 11, pp. 941-950, (2017)
[99]  
Liere-Netheler K., Packmohr S., Vogelsang K., Drivers of digital transformation in manufacturing, Proceedings of the 51St Hawaii International Conference on System Sciences, (2018)
[100]  
Lin H.-F., Chen C.-H., Design and application of augmented reality query-answering system in mobile phone information navigation, Expert Syst Appl, 42, pp. 810-820, (2015)