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http://dx.doi.org/10.13088/jiis.2019.25.4.001

The Characteristics and Performances of Manufacturing SMEs that Utilize Public Information Support Infrastructure  

Kim, Keun-Hwan (Data Analysis Platform Center, Korea Institute of Science and Technology Information)
Kwon, Taehoon (Data Analysis Platform Center, Korea Institute of Science and Technology Information)
Jun, Seung-pyo (Data Analysis Platform Center, Korea Institute of Science and Technology Information)
Publication Information
Journal of Intelligence and Information Systems / v.25, no.4, 2019 , pp. 1-33 More about this Journal
Abstract
The small and medium sized enterprises (hereinafter SMEs) are already at a competitive disadvantaged when compared to large companies with more abundant resources. Manufacturing SMEs not only need a lot of information needed for new product development for sustainable growth and survival, but also seek networking to overcome the limitations of resources, but they are faced with limitations due to their size limitations. In a new era in which connectivity increases the complexity and uncertainty of the business environment, SMEs are increasingly urged to find information and solve networking problems. In order to solve these problems, the government funded research institutes plays an important role and duty to solve the information asymmetry problem of SMEs. The purpose of this study is to identify the differentiating characteristics of SMEs that utilize the public information support infrastructure provided by SMEs to enhance the innovation capacity of SMEs, and how they contribute to corporate performance. We argue that we need an infrastructure for providing information support to SMEs as part of this effort to strengthen of the role of government funded institutions; in this study, we specifically identify the target of such a policy and furthermore empirically demonstrate the effects of such policy-based efforts. Our goal is to help establish the strategies for building the information supporting infrastructure. To achieve this purpose, we first classified the characteristics of SMEs that have been found to utilize the information supporting infrastructure provided by government funded institutions. This allows us to verify whether selection bias appears in the analyzed group, which helps us clarify the interpretative limits of our study results. Next, we performed mediator and moderator effect analysis for multiple variables to analyze the process through which the use of information supporting infrastructure led to an improvement in external networking capabilities and resulted in enhancing product competitiveness. This analysis helps identify the key factors we should focus on when offering indirect support to SMEs through the information supporting infrastructure, which in turn helps us more efficiently manage research related to SME supporting policies implemented by government funded institutions. The results of this study showed the following. First, SMEs that used the information supporting infrastructure were found to have a significant difference in size in comparison to domestic R&D SMEs, but on the other hand, there was no significant difference in the cluster analysis that considered various variables. Based on these findings, we confirmed that SMEs that use the information supporting infrastructure are superior in size, and had a relatively higher distribution of companies that transact to a greater degree with large companies, when compared to the SMEs composing the general group of SMEs. Also, we found that companies that already receive support from the information infrastructure have a high concentration of companies that need collaboration with government funded institution. Secondly, among the SMEs that use the information supporting infrastructure, we found that increasing external networking capabilities contributed to enhancing product competitiveness, and while this was no the effect of direct assistance, we also found that indirect contributions were made by increasing the open marketing capabilities: in other words, this was the result of an indirect-only mediator effect. Also, the number of times the company received additional support in this process through mentoring related to information utilization was found to have a mediated moderator effect on improving external networking capabilities and in turn strengthening product competitiveness. The results of this study provide several insights that will help establish policies. KISTI's information support infrastructure may lead to the conclusion that marketing is already well underway, but it intentionally supports groups that enable to achieve good performance. As a result, the government should provide clear priorities whether to support the companies in the underdevelopment or to aid better performance. Through our research, we have identified how public information infrastructure contributes to product competitiveness. Here, we can draw some policy implications. First, the public information support infrastructure should have the capability to enhance the ability to interact with or to find the expert that provides required information. Second, if the utilization of public information support (online) infrastructure is effective, it is not necessary to continuously provide informational mentoring, which is a parallel offline support. Rather, offline support such as mentoring should be used as an appropriate device for abnormal symptom monitoring. Third, it is required that SMEs should improve their ability to utilize, because the effect of enhancing networking capacity through public information support infrastructure and enhancing product competitiveness through such infrastructure appears in most types of companies rather than in specific SMEs.
Keywords
Public Information support infrastructure; Government funded research institutes (GRIs); Small and medium-sized enterprises (SMEs); Discriminant group characteristics; Multiple mediated moderation effect;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Schumpeter, J. A., Capitalism, socialism and democracy. Routledge, 1950.
2 Schwab, K, The Fourth Industrial Revolution: what it means, how to respond, World Economic Forum, 2006. Available at https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/ (Access 28 May, 2019).
3 Seong, T. E., K. H. Kim, Y. S. Moon, and H. S. Lee, "A Study on Intelligent Value Chain Network System based on Firms' Information," Journal of Korea Technology Innovation Society, Vol.24, No.3(2018), 67-88.
4 Shollo, A., and R.D. Galliers, "Towards an understanding of the role of business intelligence systems in organisational knowing," Information Systems Journal, Vol.26, No.4(2016), 339-367.   DOI
5 Singh, R. K., S. K. Garg, and S. G. Deshmukh, "Strategy development by SMEs for competitiveness: a review," Benchmarking: An International Journal, Vol.15, No.5(2008), 525-547.   DOI
6 Sommer, L., "Industrial revolution-industry 4.0: Are German manufacturing SMEs the first victims of this revolution?," Journal of Industrial Engineering and Management, Vol.8, No.5(2015), 1512.   DOI
7 Souitaris, V., "External communication determinants of innovation in the context of a newly industrialised country: a comparison of objective and perceptual results from Greece", Technovation, Vol. 21(2001), 25-34.   DOI
8 Stalk, G., P. Evans, and L. E. Shulman, "Competing on capabilities: the new rules of corporate strategy," Harvard Business Review, Vol.70, No.2(1992), 57-69.
9 Stevenson, A., Oxford dictionary of English, Oxford University Press, USA. 2010.
10 Talaoui, Y., M. Kohtamäki, and R. Rabetino, Business Intelligence-Capturing an Elusive Concept. In Real-time Strategy and Business Intelligence, Palgrave Macmillan, Cham., 2017, 37-51.
11 Turban, E., R. Sharda, J. Aronson, and D. King, Business intelligence: A managerial approach, Upper Saddle River, NJ: Pearson Prentice Hall, 2008, 58-59.
12 Utterback, J.M. "Mastering the Dynamics of Innovation," Harvard University Business, School Press, Boston, MA. 1994.
13 Yin, S., and O. Kaynak, "Big data for modern industry: challenges and trends [point of view]," Proceedings of the IEEE, Vol.103, No.2(2015), 143-146.   DOI
14 Vaona, A. and M. Pianta, "Firm size and innovation in European manufacturing." Small business economics, Vol.30, No.3(2008), 283-299.   DOI
15 Watson, H.J., and B.H. Wixom, "The current state of business intelligence," Computer, Vol.40, No.9(2007), 96-99.   DOI
16 Yeoh, W., and A. Popovic, "Extending the understanding of critical success factors for implementing business intelligence systems," Journal of the Association for Information Science and Technology, Vol.67, No.1(2016), 134-147.   DOI
17 Yoo, T. W., and D. W. Yang, "An Empirical Study on the Relationship Among Technology Innovation Capability, Technology Performance and Economic Performance," Journal of Small Business Innovation, Vol.12, No.4(2009), 69-93.
18 Lee, S., Kim, W., Kim, Y. M., Lee, H. Y., and Oh, K. J., "The prioritization and verification of IT emerging technologies using an analytic hierarchy process and cluster analysis," Technological Forecasting and Social Change, Vol.87(2014), 292-304.   DOI
19 Littunen, H. and M. Virtanen, "Differentiating factors of venture growth: from statics to dynamics", International Journal of Entrepreneurial Behaviour & Research, Vol.15, No.6(2009), 535-54.   DOI
20 Madrid‐Guijarro, A., D. Garcia, and H. Van Auken, "Barriers to innovation among Spanish manufacturing SMEs," Journal of Small Business Management, Vol.47, No.4 (2009), 465-488.   DOI
21 Park, H., J. Y. Yoo, S.H. Moon, H.S. Yoo, H.S. Lee, T.H. Kwon, and H. Hahn, "Effect of Technology and Market Dynamism on the Business Performances of SMEs by Supporting Services," Science, Technology and Society, Vol.24, No.1(2019), 144-160.   DOI
22 Melchert, F., R. Winter, and M. Klesse, 2004, "Aligning process automation and business intelligence to support corporate performance management," Association for Information Systems, 2004.
23 Ministry of SMEs and Startups and KBIZ, Survey on Technology of SMEs in 2015(8th), 2015.
24 Ministry of Strategy and Finance, New government economic policy direction: transformation of economic paradigm, 2017.
25 Negash, S., and P. Gray, Business intelligence. In Handbook on decision support systems 2, Springer, Berlin, Heidelberg, 2008, 175-193.
26 Nieto, M. J., and L. Santamaria, "Technological collaboration: Bridging the innovation gap between small and large firms." Journal of Small Business Management, Vol.48, No.1 (2010), 44-69.   DOI
27 Pennings, J. M., and G. Cattani, "6. Sourcing of innovation as trendsetting in the imaging sector: a comparison between large MNEs and SMEs." Small and Medium-sized Enterprises and the Global Economy, (2007), 78.
28 Pianta, M. "Innovation, demand and employment," Technology and the future of European employment, (2001), 142-165.
29 Pineda, R.C., L.D. Lerner, M.C. Miller, and S.J. Phillips, "An investigation of factors affecting the information-search activities of small business managers," Journal of Small Business Management, Vol.36, No.1(1998), 60.
30 Pirttimäki, V., A. Lönnqvist, and A. Karjaluoto, "Measurement of business intelligence in a Finnish telecommunications company," The Electronic Journal of Knowledge Management, Vol.4, No.1(2006), 83-90.
31 Podsakoff, P. M., S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff, "Common method biases in behavioral research: a critical review of the literature and recommended remedies," Journal of applied psychology, Vol.88, No.5(2003), 879.   DOI
32 Acs, Z. J., and D. B. Audretsch, "Innovation, market structure, and firm size." The review of Economics and Statistics, (1987), 567-574.
33 Preacher, K. J. and A. F. Hayes, "SPSS and SAS procedures for estimating indirect effects in simple mediation models," Behavior research methods, Vol.36, No.4(2004), 717-731.
34 Price, R., and G. Shanks, Data quality and decision making, Handbook on Decision Support Systems 1., Springer, Berlin, Heidelberg, 2008, 65-82.
35 Abels, E. G., and D. P. Klein, "Business information: Needs and strategies (Vol. 31)," Emerald Group Publishing, 2008.
36 Baron, R. M., and D. A. Kenny, "The moderator- mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations," Journal of personality and social psychology, Vol.51, No.6(1986), 1173.   DOI
37 Becker, W., and J. Dietz, "R&D cooperation and innovation activities of firms-evidence for the German manufacturing industry," Research Policy, Vol.33, No.2(2004), 209-223.   DOI
38 Bogza, R. M., and D. Zaharie, "Business intelligence as a competitive differentiator," IEEE International Conference on Automation, Quality and Testing, Robotics, Vol.1(2008), 146-151.
39 Caloghirou, Y., I. Kastelli, and A. Tsakanikas, "Internal capabilities and external knowledge sources: complements or substitutes for innovative performance?," Technovation, Vol.24, No.1(2004), 29-39.   DOI
40 Brooks, P., O. El-Gayar, and S. Sarnikar, "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Vol.35, No.3(2015), 337-345.   DOI
41 Frischmann, B. M., Infrastructure: The social value of shared resources, Oxford University Press, 2012.
42 Choi, J., B. Kim, H. Hahn, H. Park, Y. Jeong, J. Yoo, and M.K. Jeong, "Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms," Expert Systems with Applications, Vol.84(2017), 37-48.   DOI
43 Cohen, W. M., and S. Klepper, "Firm size and the nature of innovation within industries: the case of process and product R&D," The review of Economics and Statistics, (1996), 232-243.
44 Elbashir, M. Z., P. A. Collier, and M.J. Davern, "Measuring the effects of business intelligence systems: The relationship between business process and organizational performance," International Journal of Accounting Information Systems, Vol.9, No.3 (2008), 135-153.   DOI
45 Gare, K., and U. Melin, "SMEs need formative infrastructure for business transformation," Journal of Enterprise Information Management, Vol.24, No.6(2011), 520-533.   DOI
46 Gibson, D. V., and H. Naquin, "Investing in innovation to enable global competitiveness: The case of Portugal." Technological Forecasting and Social Change, Vol.78, No.8 (2011), 1299-1309.   DOI
47 Hong, J. K., "Enhancing the Productivity of Manufacturing SMEs : Focusing on Small Manufacturers facing the 4th Industrial Revolution," Korea Small Business Institute, 2016.
48 Gilmore, A., Carson, D. and Grant, K. (2001). "SME marketing in practice", Marketing intelligence & planning, 19, 6-11.   DOI
49 Hannula, M., and V. Pirttimaki, "Business intelligence empirical study on the top 50 Finnish companies," Journal of American Academy of Business, Vol.2, No.2(2003), 593-599.
50 Henke, N., J., Bughin, M. Chui, J. Manyika, T. Saleh, B. Wiseman, and G. Sethupathy, The age of analytics: Competing in a data-driven world, McKinsey Global Institute, 2016. Available at https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-age-of-analytics-competing-in-a-data-driven-world (Downloaded 13 May, 2019)
51 IBM, IBM Knowledge Center SPSS Statistics 22.0.0, 2016. Available at http://www.ibm. com/support/knowledgecenter/ko/SSLVMB_22.0.0/com.ibm.spss.statistics.help/spss/base/idh_twostep_main.htm, (Access 20 May, 2019).
52 John, C. H. S., and E. H. Hall Jr., "The interdependency between marketing and manufacturing," Industrial Marketing Management, Vol.20, No.3(1991), 223-229.   DOI
53 Jolly, V. K., Commercializing new technologies. Cambridge, Harvard Business School Press, 1997.
54 Jun, S. P., H. Park, and J. Y. You, "A Study of the Distinctive Characteristics of Government Funded Research Institutes Engaged in Technological Cooperation with SMEs," Journal of Korea Technology Innovation Society, Vol.20, No.3(2017), 1-35.
55 Jun, S. P., T. E. Seung, and S. Choi, "A Data-based Sales Forecasting Support System for New Businesses," Journal of Intelligence and Information Systems, Vol.23, No.1(2017), 1-22.   DOI
56 Kim, S.K., B.G. Lee, B.S. Park, and K.S. Oh, "The effect of R&D, technology commercialization capabilities and innovation performance," Technological and Economic Development of Economy, Vol.17(2011), 563-578.   DOI
57 Jun, S.P., T. E. Seung, and J. H. Seo, "A Study on the Relationship between R&D Information Support Programs and SME Performances : With Focus on ICT SMEs," Journal of Korea Technology Innovation Society, Vol.19, No.1(2016), 48-79.
58 Jung, D. Y., A study on the effect of R&D capability and technology commercialization capability of SMEs in collaboration with government funded research institutes on their innovation performance, Korea University, 2015
59 KBIZ, Results of SME Recognition and Response to the Fourth Industrial Revolution, 2016. Available at http://www.kbiz.or.kr/user/nd18095.do?View&pageST=SUBJECT&pageSV=&page=1&pageSC=REGDATE&pageSO=DESC&dmlType=&boardNo=00038133 (Access 20 May, 2019).
60 Kim, H.S. The Fourth Industrial Revolution and SME Innovation Challenges, Korea Small Business Institute, 2017.
61 Kwon, Y.O., "A study on the use of a Business Intelligence system: the role of explanations," Journal of Intelligence and Information System, Vol.20, No.4(2014), 155-169.   DOI
62 Lamprinopoulou, C., and A. Tregear, "Inter-firm relations in SME clusters and the link to marketing performance," Journal of Business and Industrial Marketing, Vol.26, No.6(2011), 421-429.   DOI
63 Lee, H. S., and J. H. Lim, SPSS 22 Manual, Jyphyunjae Publishing Co. 2015.
64 Larsson, C., and K. Safsten, "Visual communication of performance meaures supporting continuous improvement: Challenges and opportunities for manufacturing SMEs." In Performance measurement and management: New theories for New practices. 10th conference of the Performance Measurement Association, (2016), 26-29.
65 Lee, C., K. Lee, and J. M. Pennings, "Internal Capabilities, External Networks, and Performance: A Study on Technology-Based Ventures," Strategic Management Journal, Vol.22(2001), 615-640.   DOI
66 Lee, E. S., "Knowledge Acquisition and Internationalization in the Small and Medium-Sized Enterprise in the ICT Sector," Journal of Industrial Economics and Business, Vol.24, No.5(2011), 2625-2647.
67 Lee, I. H., EasyFlow regression analysis, Hannarae Publishing Co. 2014.
68 Lee, J. M., M. S. Noh, and S. Y. Jung, "A Study on the Effects of SME's Technology Planning Competency on the Success of Commercialization," Journal of Technology Innovation, Vol.21, No.1(2013), 253-278.
69 Lin, K.C., J.Z. Shyu, and K. Ding, "A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition," Sustainability, Vol.9, No.5(2017), 786.   DOI
70 Lee, S.H., Y.S. Moon, and J.H. Kim, Business Intelligence via Cloud Computing, ITFIND, 2010, Available at http://www.itfind.or.kr/WZIN/jugidong/1445/file60255-144503.pdf (Access 7 August, 2019).