Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2018.8.2.209

A Study on the Effect of the Information System Factors and the Organizational Factors of Venture Firms on Procedural Management Performance  

Kim, Gi-Jung (Department of Convergence Industry, Seoul Venture University)
Yi, Seon-Gyu (Department of Convergence Industry, Seoul Venture University)
Publication Information
Journal of Convergence for Information Technology / v.8, no.2, 2018 , pp. 209-218 More about this Journal
Abstract
The purpose of this study is to analyze the influence of information system factors and organizational factors on procedural management performance in small and medium-sized venture companies in the Seoul metropolitan area. In the previous study was conducted mainly on large companies and general SMEs. In this study, the research was conducted considering the characteristics of SMEs. The results showed that system suitability, system quality, and IT assets had a positive effect on procedural management performance, and manager perception and human resource capacity had a positive effect on procedural management performance. But the evaluation and compensation did not have a positive effect on procedural management performance. The results of this study showed almost the same results as those of the previous studies. Venture firms have poor financial ability, technology, and organizational management ability than general SMEs. However, the introduction and diffusion factors of new information systems were not significantly different from those of general SMEs.
Keywords
Venture firms; System suitability; System quality; IT assets; Manager perception; Human resource capacity; Evaluation and compensation; Procedural management performance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 E. M. Rogers. (2003). Diffusion of Innovation, 5th edition. USA: Free Press.
2 T. W. Kim. (2015). Effects of technological, organizational, and environmental factors on the diffusion of SCM information systems and performance with moderating effects of corporate characteristics. Doctoral Dissertation. The Graduate School of Kyungpook National University, Daegu.
3 L. G. Tornatzky & M. Fleischer. (1990). The Process of Technological Innovation. New York: Lexington Books.
4 R. G. Fichman. (2000). The diffusion and assimilation of information technology innovations. Framing the domains of IT management: Projecting the future through the past, 105127.
5 S. J. Lee. (2006). A Study on the Effects of Innovative Acceptance Factors on the Expansion of Innovation in ERP System-Using the Technology Acceptance Model (TAM). Doctoral Dissertation. The Graduate School of Changwon University, Changwon.
6 K. O. Park. (2012). An Empirical Study on the Introduction Performance of SCM System: Structural Equation Model Approach. Journal of the Korea Contents Association, 12(3), 295-310.   DOI
7 S. H. Lim. (2009). A Study on the Relationship between Technology Suitability and RFID Acceptance Intention. Jungseok Logistics Research Institute, Inha University, 9(3), 1-184.
8 F. T. S. Chan, A. Y. L. Chong & Li. Zhou. (2012). An empirical investigation of factors affecting e-collaboration. International Production Economic, 138(2), 329-344. DOI : 10.1016/j.ijpe.2012.04.004   DOI
9 M. J. Pan & W. Y. Jang. (2008). Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan’s communications industry. Journal of Computer Information Systems. 48(3), 94-102.
10 P. Ruivo. T. Oliveira. & M. Neto. (2014). Examine ERP post-implementation stages of use and value: empirical evidence from Portuguese SMEs. International Journal of accounting information systems, 15(2), 166-184. DOI : 10.1016/j.accinf.2014.01.002   DOI
11 C. Y. Lin & Y. H. Ho. (2009). RFID technology adoption and supply chain performance: an empirical study in China's logistics industry. Supply Chain Management: An International Journal, 14(5), 369-378. DOI : 10.1108/13598540910980288   DOI
12 H. J. Lee. (2004). An Empirical Study on the Relationship between Knowledge Management and Government Performance. Doctoral Dissertation. The Graduate School of Kyunghee University, Seoul.
13 C. K. Park. (2013). A Study on the Resistance and Change Management Factors Affecting ERP System Performance. Doctoral Dissertation. The Graduate School of Yeungnam University, Daegu.
14 S. M. Lee. (2013). Influence of introduction factors of ERP system on introduction decision and management performance. Doctoral Dissertation. The Graduate School of Dongmyung University, Pusan
15 S. C. Lee. (2004). Since the introduction of ERP system, change management for ERP effect: From the perspective of information capability. Doctoral Dissertation. The Graduate School of Yonsei University, Seoul.
16 B. Y. Lee. (2008). A Study on the Influencing Factors on Local Government Knowledge Management Activities. Doctoral Dissertation. The Graduate School of Catholic University, Bucheon.
17 B. M. Staw (1990). An evolutionary approach to creativity and innovation. New York: John Wiley & Sons, 287-308.
18 A. Y. Chong. and L. Zhou. (2014). Demand chain management: relationships between external antecedents, web-based integration and service innovation performance. International Journal of Productions Economics, 154, 48-58. DOI : 10.1016/j.ijpe.2014.04.005   DOI
19 Y. K. Dwived. M. R. Wade & S. L. Schneberge. (2012). Information Systems Theory: Explaining and Predicting Our Digital Society. Integrated Series in Information Systems, 28, 231-245.
20 P. Bing, M. K. Sharma & J. K. Golda. (1999). Critical Issue Affection an ERP Implementation. Information Systems Management, 16(3), 7-14.   DOI
21 C. Ranganathan & S. Jasbir. Dhaliwal. (2004). Assimilation and Diffusion of Web Technologies in Supply chain. International Journal of Electronic Commerce, 9, 127-161.
22 D. Elmuti. (2002). The Perceived Impact of Supply Chain Management on Organizational Effectiveness. Journal of Supply Chain management, 38(3), 49-57.   DOI
23 S. W. Soo. (2004). An Empirical Study on Structural Relationship Model of Supply Chain Partnership. Doctoral Dissertation. The Graduate School of Chonnam National University, Kwangju.
24 R. Mcdermott & C. O'Dell. (2001). Overcoming cultural barriors to sharing knowledge. Journal Of Knowledge Management, 5, 77-85. DOI : 10.1108/13673270110384428
25 K. C. Jeong, J. K. Lee & Y. S. Jang. (2003). Analysis of Success Factors of Knowledge Management System: Examples of Construction Industry in Korea. Korea Institute of Management Information Spring Conference, 897-906.
26 W. H. DeLone & E. R. McLean, (1992). Information Systems Success: The Quest for the Dependent Variables. Information System Research, 3(1), 60-95. DOI : 10.2753/mis0742-1222290401   DOI
27 M. Bradford, & J. Florin, (2003). Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems. International Journal of Accounting Information Systems, 4(3), 205-225. DOI : 10.1016/s1467-0895(03)00026-5   DOI
28 C. H. Lee. (2003). An Empirical Study on Factors Affecting the Performance of ERP System Implementation-Focused on manufacturing companies adopting production management module. Doctoral Dissertation. The Graduate School of Seoul National University, Seoul.
29 S. H. Ju. (2001). A Study on the Influence of the Introduction of ERP System on Business Performance-From an integrated viewpoint of introduction factors. Doctoral Dissertation. The Graduate School of Dongguk University, Seoul.
30 S. Shang & P. B. Seddon, (2002). Assessing and managing the benefits of enterprise systems: The business manager's perspective. Information Systems Journal, 12(4), 271-29. DOI : 10.1046/j.1365-2575.2002.00132.x   DOI
31 N. Agami, M. Saleh & M. Rasmy. (2012). A hybrid dynamic framework for supply chain performance improvement. IEEE Systems Journal, 6(4), 469-478. DOI : 10.1109/jsyst.2011.2177109   DOI
32 S. O. Han. (2006). A Study on the Effects of Cognitive Behavior on ERP System Performance. Doctoral Dissertation. The Graduate School of Honam University, Daejeon.
33 L. C. Cheng & M. Grimm. Curtis. (2008). The Application of Empirical Strategic management Research to Supply Chain Management. Journal of Business Logistics, 27, 1-57.
34 K. K. Hong & Y. G. Kim. (2002). The critical success factors for ERP implementation: an organizational fit perspective. Information & Management, 40(1), 25-40. DOI : 10.1016/s0378-7206(01)00134-3   DOI
35 M. Bradford & J. Florin. (2003). Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems. International Journal of Accounting Information Systems, 4(3), 205-225. DOI : 10.1016/s1467-0895(03)00026-5   DOI
36 P. Weill & M. Vitale, (2002). What IT infrastructure capabilities are needed to implement e-bisiness models? MIS Quarterly executive, 1(1), 17-24.
37 K. W. Lee. (2013). An Empirical Study on the Preceding Factors of Green SCM and Corporate Performance. Doctoral Dissertation. The Graduate School of Yeungnam University, Daegu.
38 M. E. Jennex & L. Olfman, (2002). Organizational Memory/Knowledge Effects on Productivity, a Longitudinal Study. Proceedings of the 35th Hawaii International Conference on Systems Sciences. USA: IEEE Computer Society Press.