The role of community agreeableness and digital intelligence to improve SME’s innovation performance
DOI:
https://doi.org/10.24191/eaj.v9i2.12411Keywords:
Community Agreeableness, Inter Organizational Knowledge Sharing, Collaboration Skills, Digital Intelligence, and Innovation PerformanceAbstract
The purpose of this study is to discuss how the role of community, sharing of knowledge between organizations, and digital intelligence on the performance of innovations is conceptualized to develop community capacity. Digital economic distribution can develop many SMEs in several regions in Central Java. As an entrepreneurial trend, innovation has a very important role for SMEs because it must have the ability to use digital technology properly. Efforts to Improve Performance Held by Renewing SMEs for Communities that have the same goal are called Community Agreeableness. Benefits of creating a community are a place to share knowledge and improve knowledge and skills within the SME community supported by digital intelligence. While the method used is a kind of quantitative explanatory research. The sample in this study amounted to 175 SMEs in Central Java who have used digital technology for online marketing and have used at least 1 year. The types of data in this study were obtained from primary data. Primary data were obtained directly from the main sources either from individuals, namely a questionnaire in the form of google which was distributed via WhatsApp personally to each respondent. Data collection methods are used through questionnaires and will then be analyzed with Partial Least Square (PLS) statistical analysis techniques. The results showed that community approval had a positive and significant effect on knowledge sharing between organizations, community approval was positively and significantly related to collaboration skills, knowledge sharing between organizations had a positive and significant effect on innovation performance, collaboration skills had a positive and significant effect on innovation performance, and digital intelligence is able to moderate the relationship between sharing knowledge between organizations and innovation performance. Hence, increasing the capacity of the community plays an important role in improving innovation performance in SMEs.
References
Abdi, H. (2003). Partial Least Squares (PLS) Regression. The University of Texas at Dallas.
Adams, N.B. (2004). Digital intelligence fostered by technology, The Journal of Technology Studies, 2(30), 93-97.
Boesso, G. & Kumar, K. (2009), An investigation of stakeholder prioritization and engagement: who or what really counts. Journal of Accounting and Organizational Change, 1(5), 62-80.
Bush R. et al, (2002). Community Capacity Index Manual. Brisbane: Centre for Primary Health Care.
Chen, C., & Huang, J. W. (2009). Strategic Human Resource Practices and Innovation Performance - the Mediating Role of Knowledge Management Capacity. Journal of Business Research, 1(62), 104-114.
Chen, Y.H., Lin, T.P. & Yen, D.C. (2014). How to facilitate inter-organizational knowledge sharing: the impact of trust. Journal of Information & Management, 5(51), 568-578.
Chin, W. W. (2010). How towrite up and report PLS analyses. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields, Springer Handbooks of Computational Statistics Series, (pp. 655–690). Berlin: Springer.
Christian M. Ringle, Marko Sarstedt, Rebecca Mitchell & Siegfried P.Gudergan. (2018). Partial least squares structural equation modeling in HRM research, The International Journal of Human Resource Management, DOI: 10.1080/09585192.2017.1416655
Cismaru, D-M., Gazzola, P., Ciochina, R. S., & Leovaridis, C. (2018). The rise of digital intelligence: challenges for public relations education and practices, Kybernetes, https://doi.org/10.1108/K-03-2018-0145
Colquitt, J A., Jeffrey A. LePine & Michael J. Wesson. (2017). Organizational Behavior: Improving Performance and Commitment in the Workplace 4th Edition
Cooke, P., Clifton, N. & Oleaga, M. (2005). Social capital, firm embeddedness and regional development.
De Vries, R. E., van den Hooff, B., and de Ridder,J. A. (2006). Explaining knowledge sharing the role of team communication styles, job satisfaction, and performance beliefs. Communication Research, 2(33), 115-135.
Diaz-Fernandez, M., Bornay-Barrachina, M. & Lopez-Cabrales, A. (2017). HRM practices and innovation performance: a panel-data approach. International Journal of Manpower, 3(38).
Faems, D., Van Looy, B. & Debackere, K. (2005). Interorganizational collaboration and innovation: toward a portfolio approach. Journal of Product Innovation Management, 3(22), 238-250.
Filieri, R. (2013). Consumer co-creation and new product development: a case study in the foodindustry,
Fornell, C, & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error’. Journal of Marketing Research, 18(1), 39–50.
Fornell, C., & Larker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50
Gardner, H. (1999). Intelligence Reframed: Multiple Intelligences for the 21st Century, Basic Books, New York, NY.
Gupta, A. K., & Govindarajan, V. (2000). Knowledge flows within multinational corporations. Strategic Management Journal, 21, 473–496.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). CA: Thousand Oaks, Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45.
Hansen, M.T. (2002). Knowledge networks: explaining effective knowledge sharing in multiunit companies. Organization Science, 3(13), 232-248.
Hawe P. et al, (2007) Working invisibly: health workers talk about capacity-building in health promotion. Health Promot. Int. 13(4), 285–295.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–320.
Hwang, Y., Lin, H. & Shin, D. (2018). Knowledge system commitment and knowledge sharing intention: the role of personal information management motivation. International Journal of Information Management, 1(39), 220-227.
Ivancevich, J. M. (2014). Organizational Behavior & Management. New York: McGraw-Hill Education.
Jiménez-Jiménez, D. & Sanz-Valle, R. (2008), Could HRM support organizational innovation?, International Journal of Human Resource Management, 7(19), 1208-1221.
Jiménez-Jiménez, D. & Sanz-Valle, R. (2011). Innovation, organizational learning, and performance. Journal of Business Research, 4(64), 408-417.
Kim, N. & Shim, C. (2018). Social capital, knowledge sharing and innovation of smalland medium-sized enterprises in a tourism cluster. International Journal of Contemporary Hospitality Management, https://doi.org/10.1108/IJCHM-07-2016-0392
Kim, W.C. & Maubourgne, R., (2005). Blue ocean strategy. Harvard Business School Press, Boston, MA. King, W. (2007). A research agenda for the relationships between culture and knowledge management, Journal of Knowledge and Process Management, 3(14), 226-236.
Li, Y., Ye, F. & Sheu, C. (2014). Social capital, information sharing and performance: evidence from China. International Journal of Operations & Production Management,11(34), 1440-1462.
Likert RA. (1932). Technique for the measurement of attitudes. Archives of Psychology, 140, 1-55.
Luiz Fernando de Paris Caldas, Fabio de Oliveira Paula, & T. Diana L. van Aduard de Macedo-Soares (2019). Industry innovation spending and openness to collaboration as levers for firm performance. European Journal of Innovation Management, https://doi.org/10.1108/EJIM-04-2018-0075
Luthans, F. (2008). Organizational Behavior Eleventh Edition. Singapore: McGraw-Hill International Edition.
Mahr, D. & Lievens, A. (2012). Virtual lead user communities: drivers of knowledge creation for innovation. Research Policy, 1(41), 167-177
Marketing Intelligence and Planning, 1(31), 40-53.
Matzler, K., Renzl, B., Muller, J. & Herting, S. (2008). Personality traits and knowledge sharing. Journal of Economic Psychology, 29, 301-313.
Mazur, K., & Inków, M. (2017). Methodological aspects of innovation performance measurement in the IT sector. Management, 21(2), 14–27.
Miles, R.E, Miles, G, & Snow C.C. (2006). Collaborative entrepreneurship: A business model for continuous innovation. Organizational Dynamics, 35, 1-11
Mo Li, B. N. (2017). When will firms share information and collaborate to achieveinnovation?: A review of collaboration strategies. The Bottom Line, 1(30), 65-86.
Nahapiet, J. & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 2(23), 242-266.
Natalia, R. (2015). Does online collaboration with customers drive innovation performance?. Journal of Service Theory and Practice, 3(25), 327 – 347
Nieto, M.J. & Santamaria, L. (2007). The importance of diverse collaborative networks for thenovelty of product innovation. Technovation, 6-7(27), 367-377.
Piers, T. (2010). Nottingham Business School, Nottingham Trent University, Nottingham, UK Jurnal Bisnis dan Ekonomi Hal, 2(17), 144-160.
Polenske, K.R. (2004). Competition, collaboration and cooperation: an uneasy triangle in networks offirms and regions, Regional Studies, 9(38), 1029-1043.
Rahi, S. (2017). Research Design and Methods: A Systematic Review of Research Paradignms, Sampling Issues and Instruments Development. International Journal of Economics & Management Sciences.
Regional Studies, 8(39), 1065-1077.
Rosenbusch et al, (2011). Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs. Jena, Germany. Journal of Business Venturing, 26(2011) 441–457
Schmidt, F.L. & Hunter, J.E. (2000). Select on intelligence, in Locke, E.A. (Ed.), The Blackwell Handbook of Organizational Principles. Oxford: Blackwell.
Senge, P. (1998). Sharing knowledge: you can’t own knowledge, so why not share it?, Executive Excellence, 15, 11-12
Sharma, S. (1996). Applied Multivariate Techniques. New York: John Willey & Sons. Englewood Chiffs, New Jersey.
Simmons et al, (2011). Defining community capacity building: Is it possible? Deakin University, Waterfront Campus, Australia. Preventive Medicine, 52(2011) 193–199
Steyaert, J. (2000). Digital skills: Literacy in the information society, in Van Dijk, J.A.G.M. (2006), Digital Divide Research, Achievements and Shortcomings. Poetics, 4/5(34), 221-235.
Su Juan Zhang Yong Qiang Chen Hui Sun. (2015). Emotional intelligence, conflict management styles, and innovation performance. International Journal of Conflict Management, 4( 26), 450 – 478
Tidd, J., Bessant, J. & Pavitt, K. (1997). Managing Innovation: Integrating Technological, Market, and Organizational Change. Chichester: Wiley.
Trivellas, P. D. P. (2017)," Organizational structure, innovation performance and customerrelationship value in the Greek advertising & media industry ", Journal of Business & Industrial Marketing, 3(32).
Van den Hooff, B. & De Leeuw van Weenan, F. (2004). Committed to share: commitment and CMC use as antecedencts of knowledge sharing”, Journal of Knowledge andProcessManagement, 1(11), 13-24.
Van Dijk, J.A.G.M. (2005). The Deepening Divide Inequality in the Information Society, Sage Publications, London.
Wang, Z. & Wang, N. (2012). Knowledge sharing, innovation and firm performance. Expert Systems with Applications, 10(39), 8899-8908.
Xiao Deng, K. G. (2019). "Understanding knowledge sharing in virtual communities: a network perspective", Library Hi Tech
Yang, Y. (2010). Agglomeration density and tourism development in China: an empirical research based on dynamic panel data model. Tourism Management, 6(33), 1347-1359.
Zhou, K. Z. (2006). Innovation, Imitation, and New Product Performance: The Case of China. Industrial Marketing Management, 35, 394–402
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