The relationships between technological turbulence, flow experience, innovation performance and small firm growth
Abstract
The main objective of the paper is to address the question of how to foster innovation and small firm growth under different levels of technological turbulence. Specifically, the paper examines the relationship among risk-taking, arising from different levels of technological turbulence, flow experience, innovation and small firm growth (i.e. market share and ROI growth). The underlying premise of our research is that there are substantial differences in low and high technological environments in terms of the relationships of risk taking, flow at work, innovation and small firm growth. Based on a survey among 188 entrepreneurs, the paper tests the proposed relationships in technological diverse environments with structural equation modelling. The results show that, when the level of technological turbulence is high, flow experience is significantly related to innovation and small firm growth, while in low-technological turbulence environment such relationships are not present. The study contributes to the entrepreneurial literature by demonstrating that in highly turbulent environments, flow experience may promote entrepreneurs’ innovation and the efficiency of small firm performance. The study also provides new empirical insights about the relationship between entrepreneurs’ behaviour, which is influenced by environmental conditions, on the one hand and innovation and small firm growth on the other hand.
Keyword : entrepreneur, flow, environment, technological turbulence, innovation, small firm growth, structural equation modelling
How to Cite
Slavec Gomezel, A., & Aleksić, D. (2020). The relationships between technological turbulence, flow experience, innovation performance and small firm growth. Journal of Business Economics and Management, 21(3), 760-782. https://doi.org/10.3846/jbem.2020.12280
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Candi, M., van den Ende, J., & Gemser, G. (2013). Organizing innovation projects under technological turbulence. Technovation, 33(4–5), 133–141. https://doi.org/10.1016/j.technovation.2013.01.002
Cankurtaran, P., Langerak, F., & Griffin, A. (2013). Consequences of new product development speed: A meta‐analysis. Journal of Product Innovation Management, 30(3), 465–486. https://doi.org/10.1111/jpim.12011
Catry, B., & Chevalier, M. (1974). Market share strategy and the product life cycle: The competitive value of market share for a product varies with its stage in the product life cycle. Journal of Marketing, 38(4), 29–34. https://doi.org/10.1177/002224297403800405
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Chen, H., Wigand, R. T., & Nilan, M. S. (1999). Optimal experience of web activities. Computers in Human Behavior, 15(5), 585–608. https://doi.org/10.1016/S0747-5632(99)00038-2
Chen, J., Neubaum, D. O., Reilly, R. R., & Lynn, G. S. (2015). The relationship between team autonomy and new product development performance under different levels of technological turbulence. Journal of Operations Management, 33, 83–96. https://doi.org/10.1016/j.jom.2014.10.001
Chen, J., Reilly, R. R., & Lynn, G. S. (2012). New product development speed: too much of a good thing? Journal of Product Innovation Management, 29(2), 288–303. https://doi.org/10.1111/j.1540-5885.2011.00896.x
Chu, L.-C., & Lan, C.-H. (2010). Relationship between job characteristics and flow experience of R&D personnel: Case study of A High Technology Company in Taiwan. Journal of Global Business Management, 6(1), 1–10.
Collins, A. L., Sarkisian, N., & Winner, E. (2009). Flow and happiness in later life: An investigation into the role of daily and weekly flow experiences. Journal of Happiness Studies, 10(6), 703–719. https://doi.org/10.1007/s10902-008-9116-3
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass.
Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. HarperCollins Publishers.
Cunha, M. P. e, Rego, A., Oliveira, P., Rosado, P., & Habib, N. (2014). Product innovation in resourcepoor environments: Three research streams. Journal of Product Innovation Management, 31(2), 202–210. https://doi.org/10.1111/jpim.12090
Daft, R. L., & Weick, K. E. (1984). Toward a model of organizations as interpretation systems. Academy of Management Review, 9(2), 284–295. https://doi.org/10.5465/amr.1984.4277657
de Jorge Moreno, J., Laborda Castillo, L., & de Zuani Masere, E. (2010). Firm size and entrepreneurial characteristics: Evidence from the SME sector in Argentina. Journal of Business Economics and Management, 11(2), 259–282. https://doi.org/10.3846/jbem.2010.13
de Vaan, M. (2014). Interfirm networks in periods of technological turbulence and stability. Research Policy, 43(10), 1666–1680. https://doi.org/10.1016/j.respol.2014.07.007
Debus, M. E., Sonnentag, S., Deutsch, W., & Nussbeck, F. W. (2014). Making flow happen: The effects of being recovered on work-related flow between and within days. Journal of Applied Psychology, 99(4), 713–722. https://doi.org/10.1037/a0035881
Demerouti, E. (2006). Job characteristics, flow, and performance: The moderating role of conscientiousness. Journal of Occupational Health Psychology, 11(3), 266–280. https://doi.org/10.1037/1076-8998.11.3.266
Dietrich, A. (2004). Neurocognitive mechanisms underlying the experience of flow. Consciousness and Cognition, 13(4), 746–761. https://doi.org/10.1016/j.concog.2004.07.002
Engeser, S., & Rheinberg, F. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32(3), 158–172. https://doi.org/10.1007/s11031-008-9102-4
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