The authors propose a universal methodology for measuring and assessing the synergy potential when combining companies into a group, using the business model perspective. Based on interviews with company representatives, as well as consultations with Polish software industry experts, we have found 40 key variables which are characteristic for business models of resellers and integrators. The combination of business model concepts, of Balanced Scorecard and multi-criteria decision analysis, as proposed in the paper, allows the opportunities and threats (for strategic objectives to be reached within company group) in terms of business model variables, to be indicated more precisely. The results of the multi-criteria analysis of the decision making process show the reseller - integrator combination to create a high potential for market synergies and an average potential for improving operational processes. Present methodology generates the transparent information on how a business model works and how it stimulates the combination of companies. In particular, we provide the picture of synergy potential of the company group.
This paper presents the methodology of assessing opportunities and threats related to the combining of heterogeneous business models in complex organizations (enterprise groups) from the point of view of added value. The main objective was to develop a methodology for assessing the risk of including a company with a specific business model within a complex organization. The authors carried out an in-depth analysis of mutual influences for fifteen typical business models. Guided by their original approach to classifying business models in the sector for management information systems, the authors used the cross-impact method to rank models in the value chain of this sector. The operational processes of the business models were also identified. The proposed methodology allows for a relatively accurate assessment of the impact of particular operational processes of one model upon the strategic objectives of another. The study established a set of data enabling the determination of the potential risks of combining two distinct sector models, the 'integrator' and the 'added value reseller', as a enterprise group. The methodology presented in this paper could be used to develop a computer system supporting strategic decisions regarding the allocation of resources in complex organizations. JEL Classification Numbers: G34, L86 DOI: http://dx.doi.org/10.12955/cbup.v4.744
Purpose: Our research was performed to identify differences in the frequency of using digital technologies by scientists to support their research in the periods before, during, and after the COVID-19 pandemic Design/methodology/approach: A survey questionnaire was used and data were collected from 467 scientists from Poland and abroad, which were statistically analyzed. The non-parametric Kruskal–Wallis test was applied to reveal the differences in the frequency of digital technologies use between scientists in Poland and abroad in three periods (before, during, and after the COVID-19 pandemic). The non-parametric Friedman rank test and the post-hoc Conover test with Benjamini-Hochberg adjustment were used to assess the significant differences between three paired periods: before-during, before-after, and during-after the COVID-19 pandemic. For these periods, the association between the use of digital technologies and the types of research (basic or applied) conducted by scientists in Poland and abroad was also measured using Spearman’s rank correlation. Findings: Scientists from Poland and abroad differed in the use of all digital technologies before and after the COVID-19 pandemic. During the pandemic, the differences concerned only social media, owing to a similar increase in the use of both communication applications and e-learning platforms. The results demonstrated that there was a weak positive correlation between the use of all digital technologies and applied research by both groups of scientists for all paired periods. In Poland in particular, our research has confirmed a positive correlation between the use of communication applications and social media and basic research for two paired periods: before-during and during-after the pandemic. Research limitation/implications: The limitations of this study were primarily related to the sample size, which did not allow the results to be generalized to the entire population. Another limitation was that all scientists from outside Poland were assigned to one group, without division into countries or regions of the world. This, however, enabled the research scope to be narrowed and resulted in stressing the differences between Poland and the rest of the world. A further limitation that may affect the research results is the adopted 5-point Likert scale, which determines the possibility of making an analysis. Originality/value: This research contributes to knowledge about the adaptation of scientists in Poland and abroad to new conditions resulting from the COVID-19 pandemic regarding the frequency of digital technology use in basic and applied research. The significant differences found in the frequency of digital technology use between the three paired periods (before-during, before-after, and during-after the pandemic) have the potential to encourage research into their permanence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.