Abstract
AbstractIn this study, we explore prominent contemporary technology trajectories in the software industry and how they are expected to influence the work in the software industry. Consequently, we build on cultural lag theory to analyze how technological changes affect work in software development. We present the results from a series of expert interviews that were analyzed using the Gioia method. Moreover, we identify a set of technology trends pertinent to software development from which we derive four main changes affecting the future of work in software development: (1) a shift toward scalable solutions, (2) increased emphasis on data, (3) convergence of IT and non-IT industries, and (4) the cloud as the dominant computing paradigm. Accordingly, this study contains insights into how technology (as an element of material culture) influences non-material culture, as exemplified by the work involved in software development.
Funder
Business Finland
University of Turku (UTU) including Turku University Central Hospital
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Reference66 articles.
1. Akter, S., Michael, K., Uddin, M. R., McCarthy, G., & Rahman, M. (2020). Transforming business using digital innovations: The application of ai, blockchain, cloud and data analytics.Annals of Operations Research,1–33
2. Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2018). Key issues for embracing the cloud computing to adopt a digital transformation: A study of Saudi public sector. Procedia computer science, 130, 1037–1043
3. AL-Zahrani, S., & Fakieh, B. (2020). How devops practices support digital transformation. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 1–9
4. Alshahrani, A., Dennehy, D., & Mäntymäki, M. (2021). An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia.Government Information Quarterly,101617
5. Bankins, S., Formosa, P., Griep, Y., & Richards, D. (2022). AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Information Systems Frontiers,1–19
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