THE LINK BETWEEN ECO-INNOVATION AND PERFORMANCE OF CREATIVE INDUSTRY OF MARBLE AND NATURAL STONE CRAFT
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Published
Nov 1, 2017
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Abstract
This study investigates the effect of eco-innovation on creative industry production performance of marble and natural stone craft sector in Tulungagung, Indonesia. 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 Squares – Structural Equation Modeling (PLSc-SEM). From this study, it can be concluded that in creative industries center of marble and natural stone crafts in Tulungagung, eco-marketing innovation significantly influence on eco-process innovation, but not significantly influence on eco-product innovation. Implementation of eco-process innovation significantly influence on eco-product innovation. Eco-product innovation significantly influence on production performance but not significantly influence on market performance. Production performance significantly influence financial performance.
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How to Cite
ASTUTI, Murti et al.
THE LINK BETWEEN ECO-INNOVATION AND PERFORMANCE OF CREATIVE INDUSTRY OF MARBLE AND NATURAL STONE CRAFT.
Proceedings of the International Conference on Green Technology, [S.l.], v. 8, n. 1, p. 115-122, nov. 2017.
ISSN 2580-7099.
Available at: <http://conferences.uin-malang.ac.id/index.php/ICGT/article/view/520>. Date accessed: 20 apr. 2024.
doi: https://doi.org/10.18860/icgt.v8i1.520.
Section
Architecture
References
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[2] Bentler, P. M., & Bonett, D. G. (1980). Significance tests and Goodness-of-Fit in the Analysis of Covariance Structures. Psychological Bulletin, 88, 588-600. http://dx.doi.org/10.1037/0033-2909.88.3.588
[3] 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. https://doi.org/10.1108/14601060910953988
[4] 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. https://doi.org/10.1016/j.jclepro.2013.09.050
[5] Chin, W. W., & Newsted, P. R. (1999). Structural Equation Modeling Analysis with small samples using Partial Least Square. Retrieved from https://www.researchgate.net/publication/242370645
[6] 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. https://doi.org/10.1080/14479338.2015.1011060
[7] Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics & Data Analysis, 81(1), 10-23. https://doi.org/10.1016/j.csda.2014.07.008
[8] 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. https://doi.org/10.2307/3151312
[9] González-Benito, J. (2005). A study of the effect of manufacturing proactivity on business performance. International Journal of Operations & Production Management, Vol. 25(Issue: 3), pp.222-241. https://doi.org/10.1108/01443570510581844
[10] 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. https://doi.org/10.1016/j.ijpe.2011.05.014
[11] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling. 2nd Edition. Thousand Oaks: Sage.
[12] 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, https://doi.org/10.1108/IMDS-09-2015-0382
[13] 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. https://doi.org/10.1007/s11747-014-0403-8
[14] Horbach, J. (2008). Determinants of environmental innovation—New evidence from German panel data sources. Research Policy, Volume 37(Issue 1), Pages 163–173. Retrieved from https://doi.org/10.1016/j.respol.2007.08.006
[15] Kemp, R.& Pearson, P. (2007). Final report MEI project about measuring eco-innovation. UM Merit, Maastricht, 32(3), 121–124. http://www.oecd.org/env/consumption-innovation/43960830.pdf
[16] Kotler, P., Wong, V., Saunders, A. J., & Armstrong, G. (2013). Principles Of Marketing. Pearson education (Vol. 53). https://doi.org/10.1017/CBO9781107415324.004
[17] 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. Retrieved from http://dx.doi.org/10.1108/01443570010294307
[18] Li, L. (2005). Assessing intermediate infrastructural manufacturing decisions that affect a firm’s market performance. Journal International Journal of Production Research, Vol. 43(12), Pages 2537-2551. Retrieved from http://dx.doi.org/10.1080/00207540500045675
[19] 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. https://doi.org/10.1016/j.ijpe.2008.07.026
[20] Maine, E., Lubik, S., & Garnsey, E. (2012). Process-based vs. product-based innovation: Value creation by nanotech ventures. Technovation, Volume 32(Issues 3–4), Pages 179–192. Retrieved from https://doi.org/10.1016/j.technovation.2011.10.003
[21] Miedzinski, M., Doranova, A., Castel, J., Roman, L., & Charter, M. (2013). A guide to eco-innovation for SMEs and business coaches. Brussels. Retrieved from http://cfsd.org.uk/site-pdfs/eco-innovate-sme-guide.pdf
[22] 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, Volume 32, Pages 101–113. Retrieved from https://doi.org/10.1016/j.jclepro.2012.03.023
[23] OECD. (2005). Oslo Manual: Proposed Guidelines for Collecting and Interpreting Technological Innovation Data. Paris. https://doi.org/10.1787/9789264013100-en.
[24] Peters, B. (2008). Innovation and Firm Performance: An Empirical Investigation for German firms. Working Paper, Center for European Economic Research, Mannheim, Germany. http://DOI.org/10.1007/978-3-7908-2026-3
[25] Pujari, D. (2006). Eco-innovation and new product development: Understanding the influences on market performance. Technovation, 26(1), 76–85. https://doi.org/10.1016/j.technovation.2004.07.006
[26] Ringle, C.M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3.0, www.smartpls.com
[27] 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. https://doi.org/10.1016/j.technovation.2009.05.005
[28] Schiederig, T., Tietze, F., & Herstatt, C. (2012). Green innovation in technology and innovation management – an exploratory literature review. R&D Management, Volume 42(2012), Pages 180–192. https://doi.org/10.1111/j.1467-9310.2011.00672.x
[29] 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. Retrieved from http://www.waset.org/publications/11236
[30] Triguero, A., Moreno-Mondéjar, L., & Davia, M. A. (2013). Drivers of different types of eco-innovation in European SMEs. Ecological Economics, Volume 92, Pages 25–33. Retrieved from https://doi.org/10.1016/j.ecolecon.2013.04.009
[31] Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of Partial Least Squares. (V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang, Eds.). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-540-32827-8