Digital Transformation of the Economy: Challenges, Trends and New Opportunities pp 570-580 | Cite as
On Collaborations Between Software Producer and Customer: A Kind of Two-Player Strategic Game
Abstract
The digitalization of economic activity poses new challenges to both enterprises’ managers and software developers. Software ceases to be a mass product, acquiring the characteristics required and defined by the consumer. The understanding of customers’ needs helps the reducing uncertainty and allows the producer’s development strategy selection. In this work, a model of interaction between software developers and its consumers is created. Since the primary goal of this work is an analysis of possible effects of the choice of developer-customer interaction strategies, the model is considered as a specific strategic game, and its interpretation is carried out using the game theory and decision under uncertainty tools.
Keywords
Cloud service Decision making Game theory IT solution Strategic game Software UncertaintyReferences
- 1.Bell D (1999) The coming of post-industrial society: a venture in social forecasting. Basic Books, New YorkGoogle Scholar
- 2.Cerchiello P, Giudici P (2016) Big data analysis for financial risk management. J Big Data 3(1)Google Scholar
- 3.Chaudhry S, Bharatendu NS, Joshi C (2018) Vendor response to customer opportunism in IT service relationships: exploring the moderating effect of customer involvement. Ind Mark Manag. https://doi.org/10.1016/j.indmarman.2018.04.012CrossRefGoogle Scholar
- 4.Cristóbal JRS (2015) The use of game theory to solve conflicts in the project management and construction industry. Int J Inf Syst Proj Manag 3(2):43–58Google Scholar
- 5.Denning PJ, Lewis TG (2017) Exponential laws of computing growth. Commun ACM 60(1):54–65CrossRefGoogle Scholar
- 6.Dixit A, Nalebuff B (2010) The art of strategy: a game theorist’s guide to success in business and life. W. W. Norton & Company, New York, p 512Google Scholar
- 7.Do MH, Park G, Choi K, Kang K, Baik O (2015) Application of game theory in port competition between Hong Kong port and Shenzhen port. Int J E-Navig Marit Econ 2:12–23Google Scholar
- 8.Doszhan R, Mustafina A, Supugalieva G (2015) The empirical analysis of the system of risk management on small and medium-size enterprises. Asian Soc Sci 11(21):240–247CrossRefGoogle Scholar
- 9.Drucker PF (1942) The future of industrial man, a conservative approach. The John Day Company, New York, p 298Google Scholar
- 10.Fedorenko RV, Zaychikova NA, Abramov DV, Vlasova OI (2016) Nash equilibrium design in the interaction model of entities in the customs service system. Math Educ Res J 11(7):2732–2744Google Scholar
- 11.Gilder G (1989) Microcosm: the quantum revolution in economics and technology. TouchstoneGoogle Scholar
- 12.Jain P, Gyanchandani M, Khare N (2016) Big data privacy: a technological perspective and review. J Big Data 3(1)Google Scholar
- 13.Khan A, Haasis HD (2016) Producer–buyer interaction under mass customization: analysis through automotive industry. Logist Res 9:17. https://doi.org/10.1007/s12159-016-0144-9CrossRefGoogle Scholar
- 14.Khan A, Keung J, Niazi M, Hussain S, Ahmad A (2017) Systematic literature review and empirical investigation of barriers to process improvement in global software development: customer–vendor perspective. Inf Softw Technol 87:180–205. https://doi.org/10.1016/j.infsof.2017.03.006CrossRefGoogle Scholar
- 15.Li M, Zheng X, Zhuang G (2017) Information technology-enabled interactions, mutual monitoring, and supplier-buyer cooperation: a network perspective. J Bus Res 78:268–276. https://doi.org/10.1016/j.jbusres.2016.12.022CrossRefGoogle Scholar
- 16.Machlup F (1962) The production and distribution of knowledge in the United States. https://press.princeton.edu/titles/1510.html
- 17.Moore, GE (2003) No exponential is forever: but “forever” can be delayed! International solid-state circuits conference (ISSCC) 2003/Session 1/Plenary/1.1Google Scholar
- 18.Neuman J, Morgenstern O (2007) Theory of games and economic behavior. Princeton University Press, p 776Google Scholar
- 19.Nwankpa JK (2015) ERP system usage and benefit: a model of antecedents and outcomes. Comput Hum Behav 45:335–344. https://doi.org/10.1016/j.chb.2014.12.019CrossRefGoogle Scholar
- 20.Olson DL, Johansson B, De Carvalho RA (2018) Open source ERP business model framework. Robot Comput Integr Manuf 50:30–36. https://doi.org/10.1016/j.rcim.2015.09.007CrossRefGoogle Scholar
- 21.Parviainen P, Tihinen M, Kääriäinen J, Teppola S (2017) Tackling the digitalization challenge: how to benefit from digitalization in practice. Int J Inf Syst Proj Manag 5(1):63–77Google Scholar
- 22.Rahimli A (2013) Factors influencing organization adoption decision on cloud computing. Int J Cloud Comput Serv Sci 2(2):140–146Google Scholar
- 23.Siddique L, Hussein BA (2016) A qualitative study of success criteria in Norwegian agile software projects from suppliers’ perspective. Int J Inf Syst Proj Manag 4(2):63–79Google Scholar
- 24.Toffler A (1970) Future shock. Random House, New York, p 505Google Scholar
- 25.Wamuyu PK (2017) Use of cloud computing services in micro and small enterprises: a fit perspective. Int J Inf Syst Proj Manag 5(2):59–81Google Scholar
- 26.Williams SP, Hausmann V, Schubert P, Hardy CA (2014) Managing enterprise information: meeting performance and conformance objectives in a changing information environment. Int J Inf Syst Proj Manag 2(4):5–36Google Scholar
- 27.Williams S (2016) Business intelligence strategy and big data analytics. Morgan Kaufmann, p 240Google Scholar