Journal of information and communication convergence engineering

  • 제9권2호
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  • Pages.135-140
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  • 2011
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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An Empirical Study on the Performance of Software Company with Software Type

  • Jang, Sung-Hee (School of Business Administration at Kyungpook National University) ;
  • Lee, Dong-Man (School of Business Administration at Kyungpook National University) ;
  • Choi, Moon-Jong (School of Business Administration at Kyungpook National University)
  • 투고 : 2011.03.17
  • 심사 : 2011.04.06
  • 발행 : 2011.04.30
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초록

The purpose of this study is to examine the factors influencing performance of software companies. This model tests various theoretical research hypotheses related to innovation, standardization and technology marketing strategy and software type. Smart PLS (Partial Least Square) 2.0 and SPSS 15.0 have been utilized for deriving the study results. The result of hypothesis testing is as follows. First, standardization and technology marketing strategy positively influence financial performance. Second, innovation, standardization and technology marketing strategy positively influence technical performance. Finally, mobile and non-mobile software companies was shown that innovation, standardization, and technology marketing strategy has different effects to financial and technical performance.

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참고문헌

  1. Y. S. Ahn and H. S.Kim, "An empirical analysis on factors influencing the performance of software venture business," Korean Management Review, vol. 31, no. 2, pp. 431-461, Jun. 2002.
  2. Y. S. Ahn and H. S.Kim, "An empirical analysis on the performance factors of software venture business in the perspectives of BSC and subjective performance," Information Systems Review, vol. 3, no. 1, pp. 31-46, Apr. 2001.
  3. M.K. Ahuja and J.B. Thatcher, "Moving beyond intentions and toward the theory of trying: effects of work environment and gender on post-adoption information technology use," MIS Quarterly, vol. 29, no. 3, pp. 427-459, Sep. 2005. https://doi.org/10.2307/25148691
  4. W.W. Chin, B.L. Marcolin, and P.R. Newsted, "A partial least squares latent variable modeling approach for measuring interaction effect: results from a Monte Carlo simulation study and voice mail emotion/adoption study," 17th International Conference on Information Systems, OH, pp. 21-41, 1996.
  5. R.Garcia and R. Calantone, "A critical look at technological innovation typology and innovativeness terminology: a literature review," Journal of Product Innovation Management, vol. 19, no. 2, pp. 110-132, Mar. 2002. https://doi.org/10.1016/S0737-6782(01)00132-1
  6. G. Jordan and E. Segelod, "Software innovativeness: outcomes on project performance, knowledge enhancement, and external linkages," R&D Management, vol. 36, no. 2, pp. 127-142, Mar. 2006. https://doi.org/10.1111/j.1467-9310.2006.00421.x
  7. M. Keil, B. C. Y. Tan, K. K. Wei, T. Saarinen, V. Tuunainen, and A. Wassenaar, "A cross-cultural study on escalation of commitment behavior in software projects," MIS Quarterly, vol. 24, no. 2, pp. 299-325, Jun.2000. https://doi.org/10.2307/3250940
  8. Korea IDC, Korea software market analysis and forecasts report, 2010.
  9. J.Y.C. Liu, V. J. Chen, C.L. Chan, and T. Lie, "The impact of software process standardization on software flexibility and project management performance: control theory perspective," Information and Software Technology, vol. 50, no. 9-10, pp. 889-896, Aug. 2008. https://doi.org/10.1016/j.infsof.2008.01.002
  10. K.S. Na, "The impacts of requirement uncertainty and standardization on software project performance: a comparison of Korea and USA," Journal of Information Technology Applications & Management, vol. 11, no. 2, pp. 15-27, Jun. 2004 .
  11. S. Pihlava, "A process improvement experience in small PC software companies," Master's thesis, Helsinki University of Technology, 1996.
  12. A. Rai, R. Patnayakuni, and N. Seth, "Firm performance impacts of digitally enabled supply chain integration capabilities," MIS Quarterly, vol. 30, no. 2, pp. 225-246, Jun. 2006. https://doi.org/10.2307/25148729
  13. C.K. Shu and E.H. Jeong, "The effect of project risk and risk management on software development project performance," Asia Pacific Journal of Information Systems, vol. 13, no. 2, pp. 199-217, Jun. 2003.
  14. E.T.G. Wang, P.H. Ju, J.J. Jiang, and G. Klein, "The effects of change control and management review on software flexibility and project performance," Information & Management, vol. 45, no. 7, pp. 438-443, Nov. 2008. https://doi.org/10.1016/j.im.2008.05.003
  15. Y. Yao, J. Palmer, and M. Drener, "An inter-organizational perspective on the use of electronically-enabled supply chains," Decision Support Systems, vol. 43, no. 3, pp. 884-896, Apr. 2007. https://doi.org/10.1016/j.dss.2007.01.002
  16. M.Y. Yi, and F.D. Davis, "Developing and validating an observational learning model of computer software training and skill acquisition," Information Systems Research, vol. 14, no. 2, pp. 146-169, Jun. 2003. https://doi.org/10.1287/isre.14.2.146.16016