Abstract

The Czech Republic has experienced momentous tourism expansion in recent years. Nevertheless, there is a lack of empirical investigation about this development. Innovations are an essential factor for the sustainable development of the tourism industry in the Czech Republic. The paper expounds on the effect of technical and process innovations among the tour and travel companies in the Czech Republic. The study surveyed 96 travel and tour operators aged 18-40 working in the various small, medium, and large travel agencies to determine their perceptions towards innovation in their respective travel businesses. A two-phased statistical process that combined PLS-SEM and GLM examined the responses of the individuals. It revealed that technical innovation had a robust and positive relationship with corporate profitability. Process innovation remains a grey area for Czech travel businesses. The study builds upon the Process Innovations in Colombia’s Tourist Enterprises or PICTE framework to induct critical insights for travel agencies and tour operators to provide these businesses a way forward and make them more competitive and sustainable. It has been observed that tourism businesses that were not early adopters of disruptive technologies became vulnerable to market mechanisms. Therefore, the relevance of this study is further accentuated. COVID-19 has accelerated the climate of VUCA (volatility, uncertainty, complexity, and ambiguity) among Czech tour and travel operators, many of whom winded up or downsized operations. Many of these firms were in the medium and small segments. In light of the present situation, it becomes imperative that travel service providers invest in modern technologies and ensure the same diffusion among the staff. The paper gave the strategies towards human resource mapping and digital transformations for the best interest of the tourism industry. Future studies are recommended to focus on longitudinal measures towards understanding innovation propensities among small and medium-sized businesses. Mixed method studies are encouraged to comprehend the corporate dynamics of change management.

Keywords: business innovation, tourism business, organizational dynamics, sustainable development.

JEL Classification: M21, L25, O31.

Cite as: Dey, S. K., Vaculcikova, Z., & Tuckova, Z. (2021). Measuring business process innovations among tourism enterprises in the Czech Republic: a PLS-GLM approach. Marketing and Management of Innovations, 4, 218-229. https://doi.org/10.21272/mmi.2021.4-17

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Abernathy, W. J., & Utterback, J. M. (1978). Patterns of industrial innovation. Technology review, 80(7), 40-47. [Google Scholar]
2. Akinwale, Y. O., Adepoju, A. O., & Olomu, M. O. (2017). The impact of technological innovation on SME’s profitability in Nigeria. International Journal of Research, Innovation and Commercialisation, 1(1), 74-92. [Google Scholar] [CrossRef]
3. Atalay, M., Anafarta, N., & Sarvan, F. (2013). The relationship between innovation and firm performance: An empirical evidence from Turkish automotive supplier industry. Procedia-social and behavioral sciences, 75, 226-235. [Google Scholar] [CrossRef]
4. Baaijens, S., & Nijkamp, P. (2000). Meta-analytic methods for comparative and exploratory policy research: an application to the assessment of regional tourist multipliers. Journal of Policy Modeling, 22(7), 821-858. [Google Scholar] [CrossRef]
5. Baer, M., & Frese, M. (2003). Innovation is not enough: Climates for initiative and psychological safety, process innovations, and firm performance. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 24(1), 45-68. [Googler Scholar] [CrossRef]
6. Baglieri, D., & Consoli, R. (2009). Collaborative innovation in tourism: managing virtual communities. TQM Journal, 21(4), 353. [Google Scholar] [CrossRef]
7. Bowen, J. T. (2010). The economic geography of air transportation: space, time, and the freedom of the sky. Routledge. [Google Scholar]
8. Canh, N. T., Liem, N. T., Thu, P. A., & Khuong, N. V. (2019). The impact of innovation on the firm performance and corporate social responsibility of vietnamese manufacturing firms. Sustainability, 11(13), 3666. [Google Scholar] [CrossRef]
9. Ceylan, C. (2013). Commitment-based HR practices, different types of innovation activities and firm innovation performance. The International Journal of Human Resource Management, 24(1), 208-226. [Google Scholar] [CrossRef]
10. Cho, Y. S., & Linderman, K. (2020). Resource-based product and process innovation model: Theory development and empirical validation. Sustainability, 12(3), 913. [Google Scholar][CrossRef]
11. Cruz, Z. L. (2005). Principles of Tourism Part Ii’2005 Ed. Rex Bookstore, Inc. [Google Scholar]
12. Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of management journal, 34(3), 555-590. [Google Scholar] [CrossRef]
13. Damanpour, F., & Gopalakrishnan, S. (2001). The dynamics of the adoption of product and process innovations in organizations. Journal of management studies, 38(1), 45-65. [Google Scholar] [CrossRef]
14. Dey, S. K., Khan, K. A., Tuckova, Z., & Jibril, A. B. (2020a). Motivation among travel agents in India: The moderating role of employee’s expertise and marital status. Problems and Perspectives in Management, 18(2), 453. [Google Scholar] [CrossRef]
15. Dey, S. K., Ratilla, M., Tuckova, Z., & Hung, V. V. (2020b). Explaining green purchase behaviour through generational cohort theory: A conceptual study. Proceedings of the 14th International Scientific Conference INPROFORUM Business Cycles – More than Economic Phenomena, 1–4. Retrieved from [Link]
16. Estabrook, R., & Neale, M. (2013). A comparison of factor score estimation methods in the presence of missing data: Reliability and an application to nicotine dependence. Multivariate behavioral research, 48(1), 1-27. [Google Scholar] [CrossRef]
17. Fagerberg, J., & Godinho, M. M. (2004). Innovation and catching-up. Georgia Institute of Technology. [Google Scholar]
18. Farrell, A. M. (2010). Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009). Journal of business research, 63(3), 324-327. [Google Scholar] [CrossRef]
19. Grice, J. W. (2001). Computing and evaluating factor scores. Psychological methods, 6(4), 430. [Google Scholar] [CrossRef]
20. Guisado-Gonzalez, M., Guisado-Tato, M., & Rodríguez-Domínguez, M. (2014). Testing the relationship between product innovation and process innovation: a comparative analysis of tourism and manufacturing sectors. European Journal of Tourism Research, 8(1), 66-82. [Google Scholar]
21. Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. [Google Scholar] [CrossRef]
22. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. [Google Scholar] [CrossRef]
23. Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. [Google Scholar] [CrossRef]
24. Hair, Joe F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. [Google Scholar] [CrossRef]
25. Hjalager, A. M. (2002). Repairing innovation defectiveness in tourism. Tourism management, 23(5), 465-474. [Google Scholar] [CrossRef]
26. Hjalager, A. M. (2010). A review of innovation research in tourism. Tourism management, 31(1), 1-12. [Google Scholar] [CrossRef]
27. Huber, P., Ronchetti, E., & Victoria‐Feser, M. P. (2004). Estimation of generalized linear latent variable models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66(4), 893-908. [Google Scholar] [CrossRef]
28. Jiménez-Jiménez, D., & Sanz-Valle, R. (2011). Innovation, organizational learning, and performance. Journal of business research, 64(4), 408-417. [Google Scholar] [CrossRef]
29. Kanter, R. M. (1983). Frontiers for strategic human resource planning and management. Human Resource Management, 22(1‐2), 9-21. [Google Scholar] [CrossRef]
30. Krcal, O. (2014). The relationship between profitability, innovation and technology gap: A basic model. Review of Economic Perspectives, 14(3), 215-231. [Google Scholar] [CrossRef]
31. Leiponen, A. (2006). Organization of knowledge exchange: an empirical study of knowledge-intensive business service relationships. Economics of Innovation and New Technology, 15(4-5), 443-464. [Google Scholar] [CrossRef]
32. Mai, A. N., Van Vu, H., Bui, B. X., & Tran, T. Q. (2019). The lasting effects of innovation on firm profitability: panel evidence from a transitional economy. Economic research-Ekonomska istraživanja, 32(1), 3411-3430. [Google Scholar] [CrossRef]
33. Morgan, N. A., Vorhies, D. W., & Mason, C. H. (2009). Market orientation, marketing capabilities, and firm performance. Strategic management journal, 30(8), 909-920. [Google Scholar][CrossRef]
34. Pekar, S., & Brabec, M. (2018). Generalized estimating equations: A pragmatic and flexible approach to the marginal GLM modelling of correlated data in the behavioural sciences. Ethology, 124(2), 86-93. [Google Scholar] [CrossRef]
35. Pencarelli, T., Bravi, L., Dini, M., & Splendiani, S. (2021). Enhancing customer experience through technological innovation in traditional travel agencies: evidences from Italy. Current Issues in Tourism, 24(5), 590-596. [Google Scholar] [CrossRef]
36. Schumpeter, J. A., & Nichol, A. J. (1934). Robinson’s economics of imperfect competition. Journal of political economy, 42(2), 249-259. [Google Scholar] [CrossRef]
37. Simon, N., Friedman, J., Hastie, T., & Tibshirani, R. (2011). Regularization paths for Cox’s proportional hazards model via coordinate descent. Journal of statistical software, 39(5), 1. [Google Scholar] [CrossRef]
38. Stavropoulos, S., & Skuras, D. (2016). Firm profitability and agglomeration economies: An elusive relationship. Tijdschrift voor economische en sociale geografie, 107(1), 66-80. [Google Scholar] [CrossRef]
39. Streukens, S., Leroi-Werelds, S., & Willems, K. (2017). Dealing with nonlinearity in importance-performance map analysis (IPMA): An integrative framework in a PLS-SEM context. In Partial least squares path modeling (pp. 367-403). Springer, Cham. [Google Scholar] [CrossRef]
40. Weiermair, K., & Mathies, C. (2004). The tourism and leisure industry: shaping the future. Psychology Press. [Google Scholar]
41. Zheng, J., Wu, G., & Xie, H. (2017). Impacts of leadership on project-based organizational innovation performance: The mediator of knowledge sharing and moderator of social capital. Sustainability, 9(10), 1893. [Google Scholar] [CrossRef]
42. Zuniga-Collazos, A., Perdomo-Charry, G., & Lozada, N. (2018). Analysis of the relationship between assimilation capabilities and organisational performance. International Journal of Business Innovation and Research, 16(3), 388-398. [Google Scholar]