The Eco-Innovation Variables which Influence the Performance of Creative Industries Center of Natural Stone Crafts

• Autorzy: Astuti M. , Prawoto P. , Irawan Y. S. , Sugiono S.

Identyfikatory

DOI

10.12911/22998993/79446

• Języki publikacji: EN

Abstrakty

EN

This study investigates the eco-innovation variable which has the significant effect on creative industries center’s performance of marble and natural stone craft sector in Tulungagung, Indonesia. The object of the study is the creative industries center with the non-renewable raw material. Mostly, the companies are in form of small and medium-sized enterprises (SMEs) which is ‘passive eco-innovator’ and their eco-innovation variables have not been investigated before in terms of their influence on their performance. The respondents were 81 craftsmen taken from the population. The data were collected through questionnaires which were tested, processed and analyzed by using Consistent Partial Least Square (PLSc). The eco-innovation variables which significantly effect on innovative performance are eco-organizational innovation and eco-product innovation. Eco-process innovation and eco-marketing innovation don’t directly affect on innovative performance, but its significant effect on eco-product innovation may influence innovative performance. Improving innovative performance will impact on financial performance through improvement of production performance, but market performance does not significantly affect financial performance. The findings of this study could be a reference for creative industries center’s of marble and natural stone craft sector to prioritize which type of eco-innovation should be improved so that its impact on performance is more significant.

Słowa kluczowe

EN

creative industries center; eco-innovation; innovative performance; PLSc

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2018
• Tom: Vol. 19, nr 1
• Strony: 14--24
• Opis fizyczny: Bibliogr. 40 poz., rys., tab.

Twórcy

autor

Astuti M.

• Department of Industrial Engineering, Universitas Brawijaya, Veteran Street, Malang 65145, Indonesia

autor

Prawoto P.

• Department of Mechanical Engineering, Universitas Brawijaya, Veteran Street, Malang 65145, Indonesia

autor

Irawan Y. S.

• Department of Mechanical Engineering, Universitas Brawijaya, Veteran Street, Malang 65145, Indonesia

autor

Sugiono S.

• Department of Industrial Engineering, Universitas Brawijaya, Veteran Street, Malang 65145, Indonesia

Bibliografia

• 1. Bigliardi, B., Dormio, A.I. 2009. An empirical investigation of innovation determinants in food machinery enterprises. European Journal of Innovation Management, 12(2), 223-242.
• 2. Birkinshaw, J., Hamel, G., Mol, M.J. 2008. Management Innovation. Academy of Management Review, 33(4), 825-845.
• 3. Cheng, C.C.J., Yang, C.L., Sheu, C. 2014. The link between eco-innovation and business performance: A Taiwanese industry context. Journal of Cleaner Production, 64, 81-90.
• 4. Chin, W. 2010. How to write up and report PLS analyses, in Esposio, V., Chin, W., Henseler, J., and Wang, H. (Eds.). Handbook of partial least squares: Concepts, methods and applications. Berlin, Germany: Springer, 655-690.
• 5. Díaz-García, M.C., Moreno, Á.G., Saez-Martinez, F.J. 2015. Eco-innovation: Insights from a literature review. Innovation: Management, Policy and Practice, 17(1), 6-23.
• 6. Dijkstra, T.K. 2010. Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares, in Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II), V. Esposito Vinzi, W.W. Chin, J. Henseler and H. Wang (Eds), Springer: Heidelberg, Dordrecht, London, New York, pp. 23-46.
• 7. Dijkstra, T.K. 2014. PLS’ Janus Face – Response to Professor Rigdon’s ‘Rethinking Partial Least Squares Modeling: In Praise of Simple Methods’, Long Range Planning, 47(3), 146-153.
• 8. Dijkstra, T.K., Henseler, J. 2015. Consistent Partial Least Squares Path Modeling, MIS Quarterly, 39(2), 297-316.
• 9. Ettlie, J.E., Reza, M.E. 1992. Organizational Integration and Process Innovation. Academy of Management Journal, 35(4), 795-827.
• 10. Fornell, C., Larcker, D.F. 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of MarketingResearch, Vol. 18(No. 1), 39-50.
• 11. González-Benito, J. 2005. A study of the effect of manufacturing proactivity on business performance. International Journal of Operations & Production Management, 25(3), 222-241.
• 12. Gunday, G., Ulusoy, G., Kilic, K., Alpkan, L. 2011. Effects of innovation types on firm performance. International Journal of Production Economics, 133(2), 662-676.
• 13. Hagedoorn, J., & Cloodt, M. 2003. Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32(8), 1365-1379.
• 14. Hair, J.F., Hult, G.T M., Ringle, C.M., Sarstedt, M. 2017. A Primer on Partial Least Squares Structural Equation Modeling. 2nd Ed. Thousand Oaks: Sage.
• 15. Henseler, J., Sarstedt, M. 2013. Goodness-of-Fit Indices for Partial Least Squares Path Modeling, Computational Statistics, 28(2), 565-580.
• 16. Henseler, J., Hubona, G., Ray, P.A. 2016. Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20
• 17. Henseler, J., Ringle, C.M., Sarstedt, M. 2015. A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115-135.
• 18. Horbach, J. 2008. Determinants of environmental innovation–New evidence from German panel data sources. Research Policy, 37(1), 163-173.
• 19. Hu, L.T., Bentler, P.M. 1998. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424-453.
• 20. Kemp, R., Arundel, A. 1998. Survey Indicators for Environmental Innovation. Indicators and Data for European Analysis (IDEA) Project Report Series, 1-26.
• 21. Kemp, R., Pearson, P. (2007). Final report MEI project about measuring eco-innovation. UM Merit, Maastricht, 32(3), 121-124.
• 22. Kotler, P., Wong, V., Saunders, A.J., & Armstrong, G. 2013. Principles of Marketing. Pearson education, Vol. 53.
• 23. Koufteros, X., Marcoulides, G.A. 2006. Product development practices and performance: A structural equation modeling-based multi-group analysis. International Journal of Production Economics, 103(1), 286-307.
• 24. Li, L. 2000. An analysis of sources of competitiveness and performance of Chinese manufacturers. International Journal of Operations and Production Management, 20(3-4), 299-315.
• 25. Li, L. 2005. Views 20 CrossRef citations 0 Altmetric Original Articles Assessing intermediate infrastructural manufacturing decisions that af fect a firm’s market performance. Journal International Journal of Production Research, 43(12), 2537-2551.
• 26. Liu, Y., Li, Y., Wei, Z. 2009. How organizational flexibility affects new product development in an uncertain environment: Evidence from China. International Journal of Production Economics, 120(1), 18-29.
• 27. Maine, E., Lubik, S., Garnsey, E. 2012. Process-based vs. product-based innovation: Value creation by nanotech ventures. Technovation, 32(3-4), 179-192.
• 28. Mcaloone, T.C., Hare, J.O. 2014. Eco – innovation in small to medium sized enterprises : needs and opportunities for action.
• 29. Miedzinski, M., Doranova, A., Castel, J., Roman, L., Charter, M. 2013. A guide to eco-innovation for SMEs and business coaches. Brussels.
• 30. Murphy, J., Gouldson, A. 2000. Environmental policy and industrial innovation: integrating environment and economy through ecological modernisation. Geoforum, February, 31(1), 33-44.
• 31. Negny, S., Belaud, J.P., Robles, G.C., Reyes, E.R., Ferrera, B. 2012. Toward an eco-innovative method based on a better use of resources: application to chemical process preliminary design. Journal of Cleaner Production, 32, 101-113.
• 32. O’Hare, J.A., McAloone, T.C., Pigosso, D.C.A., Howard, T.J. 2014. Eco-Innovation Manual: Working version for Pilot Application.
• 33. OECD. 2005. Oslo Manual – Inglês – Terceira Edição. Communities (Third edit.).
• 34. Oke, A. 2007. Innovation types and innovation management practices in service companies. International Journal of Operations & Production Management, 27(6), 564-587.
• 35. Peters, B. 2008. Innovation and Firm Performance: An Empirical Investigation for German firms. Working Paper, Center for European Economic Research, Mannheim, Germany.
• 36. Pujari, D. 2006. Eco-innovation and new product development: Understanding the influences on market performance. Technovation, 26(1), 76-85.
• 37. Raymond, L., St-Pierre, J. 2010. R&D as a determinant of innovation in manufacturing SMEs: An attempt at empirical clarification. Technovation, 30(1), 48-56.
• 38. Reid, A., Miedzinski, M. 2008. Eco-innovation. Final report for sectorial innovation watch. Technopolis, May, 1-78.
• 39. Tessitore, S., Daddi, T., Iraldo, F. 2010. Eco-innovation and economic performance in industrial clusters: Evidence from Italy. World Academy of Science, Engineering and Technology, 42, 1487-1493.
• 40. Vinzi, V.E., Chin, W.W., Henseler, J., Wang, H. (Eds). 2010. Handbook of Partial Least Squares. Springer-Verlag, Berlin Heidelberg.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).