Evaluating the efficiency of the synergistic effect in the business network
DOI:
https://doi.org/10.15549/jeecar.v8i1.646Keywords:
Ukraine, business network, quasi-integration relatins, economic activity, synergistic effect, enterpriseAbstract
The article aimed to develop a methodology for monitoring the quality level of the synergistic effect of enterprises' economic activity in business network interaction on the example of mechanical engineering in Ukraine. Using the expert assessments of 386 senior and middle managers of 27 mechanical engineering enterprises of the Kharkiv region and the main components' method, the components of qualitative parameters of the synergetic effect of economic activity result from network interaction have been determined. An additive econometric model has been developed to calculate the integrated indicator of enterprises' economic activity's synergetic effect in terms of the business network of the studied enterprises. Using Fibonacci rules, the levels of qualitative component components and the integrated indicator of the synergy of economic activity in the context of a single network partner are determined.
References
Abbas, J., Raza, S., Nurunnabi, M., Minai, M.S., & Bano, S. (2019). The Impact of Entrepreneurial Business Networks on Firms’ Performance Through a Mediating Role of Dynamic Capabilities. Sustainability, 11, 3006. https://doi.org/10.3390/su11113006
Adam, M., Assimakis, N., & Farina, A. (2015). Golden section, Fibonacci sequence and the time invariant Kalman and Lainiotis filters. Applied Mathematics and Computation, 250, 817-831. https://doi.org/10.1016/j.amc.2014.11.022
Asheim, B. (1995). Industrial districts as ‘learning regions’. A condition for prosperity? STEP rapport. Oslo.
Bititci, U., Turner, T., Mackay, D., Kearney, D., Parung, J., & Walters, D. (2007). Managing synergy in collaborative enterprises. Production Planning & Control: The Management of Operations, 18(6), 454-465. https://doi.org/10.1080/09537280701494990
Brunet-Thornton, R., Cramer, T., & Jirsák, P. (2019). A research agenda on Czech attitudinal perspectives in an era of digital transformation. Journal of Eastern European and Central Asian Research (JEECAR), 6(1), 99-112. https://doi.org/10.15549/jeecar.v6i1.277
Chen, Y.-S., Lei, H.-S., & Hsu, W.-C. (2019). A Study on the Sustainable Development Strategy of Firms: Niche and Social Network Theory. Sustainability, 11, 2593. https://doi.org/10.3390/su11092593
Fang, X., Ji, Z., Chen, Z., Chen, W., Cao, C., & Gan, J. (2020). Synergy Degree Evaluation of Container Multimodal Transport System. Sustainability, 12, 1487. https://doi.org/10.3390/su12041487
Fiorentino, R. & Garzella, S. (2015). Synergy management pitfalls in mergers and acquisitions. Management Decision, 53(7), 1469-1503. https://doi.org/10.1108/MD-12-2014-0692
Garri, M. (2020). Coopetition, value co-creation, and knowledge-enhancement in the UK alpaca industry: A multi-level mechanism. European Management Journal. https://doi.org/10.1016/j.emj.2020.11.001
Garzella, S. & Fiorentino, R. (2014). A synergy measurement model to support the pre-deal decision making in mergers and acquisitions. Management Decision, 52(6), 1194-1216. https://doi.org/10.1108/MD-10-2013-0516
González, L.O., Santomil, P.D., & Herrera, A.T. (2020). The effect of Enterprise Risk Management on the risk and the performance of Spanish listed companies. European Research on Management and Business Economics, 26, 3, 111-120. https://doi.org/10.1016/j.iedeen.2020.08.002
Hair, J. F., Hult, G. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
Hakansson, H., & Johanson, J. (1992). A model of industrial networks, in Björn Axelsson and Geoffrey Easton. Industrial Networks - A New View of Reality. London: Routledge
Jiang, H., Gao, S., Song, Y., Sheng, K., & Amaratunga, G.A.J. (2019). An Empirical Study on the Impact of Collaborative R&D Networks on Enterprise Innovation Performance Based on the Mediating Effect of Technology Standard Setting. Sustainability, 11, 7249. https://doi.org/10.3390/su11247249
Kachala, T., & Kovalchuk, Y. (2015). Ukrainian Business in European Integration Process: A Cluster Approach. Journal of Eastern European and Central Asian Research (JEECAR), 2(1). https://doi.org/10.15549/jeecar.v2i1.84.
Khurana, S., Haleem, A., Luthra, S., & Mannan, B. (2021). Evaluating critical factors to implement sustainable oriented innovation practices: An analysis of micro, small, and medium manufacturing enterprises. Journal of Cleaner Production, 285, 125377. https://doi.org/10.1016/j.jclepro.2020.125377
Kong, X., Xu, Q., & Zhu, T. (2020). Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory. Sustainability, 12, 75. https://doi.org/10.3390/su12010075
Lipovetsky, S. (2017). Factor analysis by limited scales: which factors to analyze? Journal of Modern Applied Statistical Methods, 16(1), 233-245. https://doi.org/10.22237/jmasm/1493597520
Liu, T., Qu, S., & Scherpereel, C.M. (2020). The Influence of the Role Positioning of Investment Institutions on the Value of Start-Up Enterprises from the Perspective of Network. Sustainability, 12, 491. https://doi.org/10.3390/su12020491
Mainali, B., Luukkanen, J., Silveira, S., & Kaivo-oja, J. (2018). Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa. Sustainability, 10, 3, 815. https://doi.org/10.3390/su10030815
Megits, N., Neskorodieva, I., & Schuster, J. (2020). Impact assessment of the COVID19 on trade between Eastern Europe and China. Journal of Eastern European and Central Asian Research (JEECAR), 7(3), 385-399. https://doi.org/10.15549/jeecar.v7i3.579
Menke, W. (2018). Factor Analysis. Geophysical Data Analysis (Fourth Edition). New York: Academic Press, 207-222.
National Science Foundation. (2018). Science and Engineering Indicators 2018. Retrieved January 18, 2021, from https://www.nsf.gov/statistics/2018/nsb20181/report/sections/industry-technology-and-the-global-marketplace/patterns-and-trends-of-knowledge--and-technology-intensive-industries
On urgent measures for reforms and strengthening the state. (2019). Decree of the President of Ukraine on November 8, 2019 N837/2019. https://zakon.rada.gov.ua/laws/show/837/2019?lang=en#Text
Pietraszewski, D. (2020). The evolution of leadership: Leadership and followership as a solution to the problem of creating and executing successful coordination and cooperation enterprises. The Leadership Quarterly, 31, 2, 101299. https://doi.org/10.1016/j.leaqua.2019.05.006
Reid, N. (2015). Statistical Sufficiency. International Encyclopedia of the Social & Behavioral Sciences, 418-422.
Rzepka, A. (2017). Inter-organizational Relations as a One of Sources of Competitive Advantage of Contemporary Enterprises in the Era of Globalization. Procedia Engineering, 174, 161-170. https://doi.org/10.1016/j.proeng.2017.01.195
Shtal, T., Hurzhii, N., & Bresciani, S. (2016). Integrational Interaction Synergy Effects in Export Distributional Channels of Enterprise. British Journal of Economics, Management & Trade, 12(2), 1-10. https://doi.org/10.9734/BJEMT/2016/20708
State Statistics Service of Ukraine. (2021). Retrieved January 15, 2021, from http://www.ukrstat.gov.ua/
Szromek, A.R. (2020). Model of Business Relations in Spa Tourism Enterprises and Their Business Environment. Sustainability, 12, 4941. https://doi.org/10.3390/su12124941
The World Bank. (2020). Doing Business 2020. http://documents1.worldbank.org/curated/en/688761571934946384/pdf/Doing-Business-2020-Comparing-Business-Regulation-in-190-Economies.pdf
Tu, Y., Peng, B., Elahi, E., & Wu, W. (2020). Initiator or Intermediary? A Case Study on Network Relation of Environmental Regulatory Capture in China. Int. J. Environ. Res. Public Health, 17, 9152. https://doi.org/10.3390/ijerph17249152
Xu, B., Chen, X., & Wang, Y. (2020). A new dynamic classification of enterprises for implementing precise industrial policies. Journal of Business Research, 118, 463-473, https://doi.org/10.1016/j.jbusres.2020.07.009
Zadorozhna, L. (2014). Forming Agroindustries Clusters for Reaching Competitiveness of Ukrainian Agroindustrial Sector. Journal of Eastern European and Central Asian Research (JEECAR), 1(1), 11. https://doi.org/10.15549/jeecar.v1i1.26
Zeng, J., Liu, D., & Yi, H. (2019). Agglomeration, Structural Embeddedness, and Enterprises’ Innovation Performance: An Empirical Study of Wuhan Biopharmaceutical Industrial Cluster Network. Sustainability, 11, 3922. https://doi.org/10.3390/su11143922
Zhang, D., Sun, X., Liu, Y., Zhou, S., & Zhang, H. (2018). The Effects of Integrative Leadership on the Enterprise Synergy Innovation Performance in a Supply Chain Cooperative Network. Sustainability, 10, 2342. https://doi.org/10.3390/su10072342
Adam, M., Assimakis, N., & Farina, A. (2015). Golden section, Fibonacci sequence and the time invariant Kalman and Lainiotis filters. Applied Mathematics and Computation, 250, 817-831. https://doi.org/10.1016/j.amc.2014.11.022
Asheim, B. (1995). Industrial districts as ‘learning regions’. A condition for prosperity? STEP rapport. Oslo.
Bititci, U., Turner, T., Mackay, D., Kearney, D., Parung, J., & Walters, D. (2007). Managing synergy in collaborative enterprises. Production Planning & Control: The Management of Operations, 18(6), 454-465. https://doi.org/10.1080/09537280701494990
Brunet-Thornton, R., Cramer, T., & Jirsák, P. (2019). A research agenda on Czech attitudinal perspectives in an era of digital transformation. Journal of Eastern European and Central Asian Research (JEECAR), 6(1), 99-112. https://doi.org/10.15549/jeecar.v6i1.277
Chen, Y.-S., Lei, H.-S., & Hsu, W.-C. (2019). A Study on the Sustainable Development Strategy of Firms: Niche and Social Network Theory. Sustainability, 11, 2593. https://doi.org/10.3390/su11092593
Fang, X., Ji, Z., Chen, Z., Chen, W., Cao, C., & Gan, J. (2020). Synergy Degree Evaluation of Container Multimodal Transport System. Sustainability, 12, 1487. https://doi.org/10.3390/su12041487
Fiorentino, R. & Garzella, S. (2015). Synergy management pitfalls in mergers and acquisitions. Management Decision, 53(7), 1469-1503. https://doi.org/10.1108/MD-12-2014-0692
Garri, M. (2020). Coopetition, value co-creation, and knowledge-enhancement in the UK alpaca industry: A multi-level mechanism. European Management Journal. https://doi.org/10.1016/j.emj.2020.11.001
Garzella, S. & Fiorentino, R. (2014). A synergy measurement model to support the pre-deal decision making in mergers and acquisitions. Management Decision, 52(6), 1194-1216. https://doi.org/10.1108/MD-10-2013-0516
González, L.O., Santomil, P.D., & Herrera, A.T. (2020). The effect of Enterprise Risk Management on the risk and the performance of Spanish listed companies. European Research on Management and Business Economics, 26, 3, 111-120. https://doi.org/10.1016/j.iedeen.2020.08.002
Hair, J. F., Hult, G. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
Hakansson, H., & Johanson, J. (1992). A model of industrial networks, in Björn Axelsson and Geoffrey Easton. Industrial Networks - A New View of Reality. London: Routledge
Jiang, H., Gao, S., Song, Y., Sheng, K., & Amaratunga, G.A.J. (2019). An Empirical Study on the Impact of Collaborative R&D Networks on Enterprise Innovation Performance Based on the Mediating Effect of Technology Standard Setting. Sustainability, 11, 7249. https://doi.org/10.3390/su11247249
Kachala, T., & Kovalchuk, Y. (2015). Ukrainian Business in European Integration Process: A Cluster Approach. Journal of Eastern European and Central Asian Research (JEECAR), 2(1). https://doi.org/10.15549/jeecar.v2i1.84.
Khurana, S., Haleem, A., Luthra, S., & Mannan, B. (2021). Evaluating critical factors to implement sustainable oriented innovation practices: An analysis of micro, small, and medium manufacturing enterprises. Journal of Cleaner Production, 285, 125377. https://doi.org/10.1016/j.jclepro.2020.125377
Kong, X., Xu, Q., & Zhu, T. (2020). Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory. Sustainability, 12, 75. https://doi.org/10.3390/su12010075
Lipovetsky, S. (2017). Factor analysis by limited scales: which factors to analyze? Journal of Modern Applied Statistical Methods, 16(1), 233-245. https://doi.org/10.22237/jmasm/1493597520
Liu, T., Qu, S., & Scherpereel, C.M. (2020). The Influence of the Role Positioning of Investment Institutions on the Value of Start-Up Enterprises from the Perspective of Network. Sustainability, 12, 491. https://doi.org/10.3390/su12020491
Mainali, B., Luukkanen, J., Silveira, S., & Kaivo-oja, J. (2018). Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa. Sustainability, 10, 3, 815. https://doi.org/10.3390/su10030815
Megits, N., Neskorodieva, I., & Schuster, J. (2020). Impact assessment of the COVID19 on trade between Eastern Europe and China. Journal of Eastern European and Central Asian Research (JEECAR), 7(3), 385-399. https://doi.org/10.15549/jeecar.v7i3.579
Menke, W. (2018). Factor Analysis. Geophysical Data Analysis (Fourth Edition). New York: Academic Press, 207-222.
National Science Foundation. (2018). Science and Engineering Indicators 2018. Retrieved January 18, 2021, from https://www.nsf.gov/statistics/2018/nsb20181/report/sections/industry-technology-and-the-global-marketplace/patterns-and-trends-of-knowledge--and-technology-intensive-industries
On urgent measures for reforms and strengthening the state. (2019). Decree of the President of Ukraine on November 8, 2019 N837/2019. https://zakon.rada.gov.ua/laws/show/837/2019?lang=en#Text
Pietraszewski, D. (2020). The evolution of leadership: Leadership and followership as a solution to the problem of creating and executing successful coordination and cooperation enterprises. The Leadership Quarterly, 31, 2, 101299. https://doi.org/10.1016/j.leaqua.2019.05.006
Reid, N. (2015). Statistical Sufficiency. International Encyclopedia of the Social & Behavioral Sciences, 418-422.
Rzepka, A. (2017). Inter-organizational Relations as a One of Sources of Competitive Advantage of Contemporary Enterprises in the Era of Globalization. Procedia Engineering, 174, 161-170. https://doi.org/10.1016/j.proeng.2017.01.195
Shtal, T., Hurzhii, N., & Bresciani, S. (2016). Integrational Interaction Synergy Effects in Export Distributional Channels of Enterprise. British Journal of Economics, Management & Trade, 12(2), 1-10. https://doi.org/10.9734/BJEMT/2016/20708
State Statistics Service of Ukraine. (2021). Retrieved January 15, 2021, from http://www.ukrstat.gov.ua/
Szromek, A.R. (2020). Model of Business Relations in Spa Tourism Enterprises and Their Business Environment. Sustainability, 12, 4941. https://doi.org/10.3390/su12124941
The World Bank. (2020). Doing Business 2020. http://documents1.worldbank.org/curated/en/688761571934946384/pdf/Doing-Business-2020-Comparing-Business-Regulation-in-190-Economies.pdf
Tu, Y., Peng, B., Elahi, E., & Wu, W. (2020). Initiator or Intermediary? A Case Study on Network Relation of Environmental Regulatory Capture in China. Int. J. Environ. Res. Public Health, 17, 9152. https://doi.org/10.3390/ijerph17249152
Xu, B., Chen, X., & Wang, Y. (2020). A new dynamic classification of enterprises for implementing precise industrial policies. Journal of Business Research, 118, 463-473, https://doi.org/10.1016/j.jbusres.2020.07.009
Zadorozhna, L. (2014). Forming Agroindustries Clusters for Reaching Competitiveness of Ukrainian Agroindustrial Sector. Journal of Eastern European and Central Asian Research (JEECAR), 1(1), 11. https://doi.org/10.15549/jeecar.v1i1.26
Zeng, J., Liu, D., & Yi, H. (2019). Agglomeration, Structural Embeddedness, and Enterprises’ Innovation Performance: An Empirical Study of Wuhan Biopharmaceutical Industrial Cluster Network. Sustainability, 11, 3922. https://doi.org/10.3390/su11143922
Zhang, D., Sun, X., Liu, Y., Zhou, S., & Zhang, H. (2018). The Effects of Integrative Leadership on the Enterprise Synergy Innovation Performance in a Supply Chain Cooperative Network. Sustainability, 10, 2342. https://doi.org/10.3390/su10072342
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Published
2021-03-20
How to Cite
Dykan, V., Pakharenko, O., Saienko, V., Skomorovskyi, A., & Neskuba, T. (2021). Evaluating the efficiency of the synergistic effect in the business network. Journal of Eastern European and Central Asian Research (JEECAR), 8(1), 51–61. https://doi.org/10.15549/jeecar.v8i1.646
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