Dr. Sang Hyun Kim
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Dr. Sang Hyun Kim

Associate Professor
Kyungpook National University, Korea

Highest Degree
Ph.D. in Management Information Systems from University of Mississippi, USA

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Area of Interest:

Computer Sciences
100%
Open Source Software
62%
Cloud Computing
90%
Social Commerce
75%
Information Security
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Garrison, G., C.M. Rebman Jr. and S.H. Kim, 2018. An identification of factors motivating individuals’ use of cloud-based services. J. Comput. Inform. Syst., 58: 19-29.
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  2. Hwang, I., H. Park and S. Kim, 2017. Impacts of security policy goals and motivation on compliance intention: the linkage between motivation theory and goal setting. Asian J. Inf. Technol., 16: 227-239.
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  3. Hwang, I., D. Kim, T. Kim and S. Kim, 2017. Why not comply with information security? An empirical approach for the causes of non-compliance. Online Inf. Rev., 41: 2-18.
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  4. Park, H.S. and S.H. Kim, 2016. A study on exploring the antecedents and consequences of SNS fatigue: The moderating effect of habit. Yonsei Bus. Rev., 53: 43-73.
  5. Lee, S.I., W.J. Yoo, H.S. Park and S.H. Kim, 2016. An empirical study on acceptance intention towards healthcare wearable device. J. Inf. Syst., 25: 27-50.
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  6. Garrison, G., S.H. Kim and X. Xu, 2016. Consumer adoption and use of mobile applications: Do privacy and security concerns matter. Issues Inf. Syst., 17: 56-64.
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  7. Choi, M., S. Park and H. Park, 2016. The Structural model investigating the causal relationships between management strategy and, innovation activity and performance in manufacturing and service sectors. Int. Bus. Manage, 10: 5442-5450.
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  8. Park, H.S. and S.H. Kim, 2015. A study on the stress of social network service and using reluctant intention. J. Inf. Syst., 24: 53-72.
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  9. Kim, S., G. Kim and A.M. French, 2015. Relationships between need-pull/technology-push and information security management and the moderating role of regulatory pressure. Inf. Technol. Manage., 16: 173-192.
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  10. Kim, G.A. and S.H. Kim, 2015. The relationship between organizational it capability, and it support and performance: The moderating effects of environmental dynamics and management support. Korean Manage. Rev., 45: 1587-1622.
  11. Kim, G.A. and S.H. Kim, 2015. A perspective of information technology capability on business process agility in an adaptive enterprise. Korean Manage. Rev., 44: 185-213.
  12. Kim, G. and S. Kim, 2015. The relationship between technostress and continuance commitment within organizations : The moderating effects of involvement facilitation and technical support provision. J. Soc. e-Bus. Stud., 4420: 153-166.
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  13. Kim, G. and S. Kim, 2015. Increasing competitive advantage of financial firms: the moderating effect of transformational leadership. J. Bus. Res., 30: 59-81.
  14. Ha, S.H., W. Liu, H. Cho and S.H. Kim, 2015. Technological advances in the fuel cell vehicle: Patent portfolio management. Technol. Forecasting Soc. Change, 100: 277-289.
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  15. Garrison, G., R.L. Wakefield and S. Kim, 2015. The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. Int. J. Inf. Manage., 35: 377-393.
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  16. Shin, S.H., B.H. Kang and S.H. Kim, 2014. The application of image-oriented SNS marketing channel for improving performance of online shopping malls : Pinterest case analysis. J. Korea Soc., 13: 377-396.
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  17. Park, H.S. and S.H. Kim, 2014. An empirical study of sns users‟ switching intention toward closed SNS. Inf. Syst. Rev., 16: 135-160.
  18. Park, H. and S. Kim, 2014. Determinants impacting on dependency of mobile instant messenger, barrier of living, and intention to take digital break: The moderating effect of perceived risk. J. Inf. Syst., 23: 25-46.
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  19. Park, H. and S. Kim, 2014. An empirical study on factors affecting the assimilation of inter-organizational cloud computing and performance and the moderating effect of trust. J. Korea Soc. IT Serv., 13: 1-23.
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  20. Kim, S.H., 2014. The effect of technical it capability on organizational successful cloud computing project : The moderating effects of relational IT capability and managerial IT capability. J. Internet Electron. Commerce Res.., 14: 167-190.
  21. Kim, S. and H. Park, 2014. Intrinsic and extrinsic factors impacting individuals` cyber ethics awareness and behavior intention. J. Inf. Syst., 23: 111-138.
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  22. Kim, G.A. and S.H. Kim, 2014. How does technostress influence employees‟ role and performance in an organization? : The moderating effect of innovation support. Inf. Syst. Rev., 16: 97-124.
  23. Kim, G.A. and S.H. Kim, 2014. Applying need pull and technology push theory to organizational information security management. Int. Bus. Manage., 9: 524-531.
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  24. Song, Y.M., and S.H. Kim, 2013. A study on the internal and external organizational factors affecting the awareness of srm and intention to develop srm-the difference of information technology dependency. Entrue J. Inf. Technol., 12: 69-89.
  25. Noh, M., K. Lee, S.H. Kim and G. Garrison, 2013. Effects of collectivism on actual s- commerce use and the moderating effect of price consciousness. J. Electron. Commerce Res., 14: 231-243.
  26. Kim, S.H. and Y.M. Song, 2013. Impacts of organizational technology push and need pull on internal assimilation and external diffusion of open source software (OSS)-the moderating effect of organizational readiness. Korean Manage. Rev., 42: 899-927.
  27. Kim, S.H. and H.S. Park, 2013. Social group factors impacting customer satisfaction, trust, and intention to repurchase in social commerce and the moderating effect of utilitarian value. J. Inf. Syst., 22: 1-24.
  28. Kim, S.H. and G.A. Kim, 2013. An empirical study on the intrinsic factors driving the successful preparation of it disaster and improvement of ability to it recovery. J. Internet Electron. Commerce Res., 13: 1-19.
  29. Kim, S.H. and G.A. Kim, 2013. An empirical study on factors influencing the awareness of non-malicious security violation and the moderating effects of regulatory pressure. Korean Manage. Rev., 42: 213-239.
  30. Kim, S. and H. Park, 2013. Effects of various characteristics of social commerce (s-commerce) on consumers trust and trust performance. Int. J. Inf. Manage., 33: 318-332.
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  31. Kim, S. and H. Park, 2013. An empirical study on individual and social commerce factors impacting shopping value and intention to repurchase in social commerce and moderating effects of perceived security. J. Korea soc. IT serv., 12: 31-53.
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  32. Kim, S. and G. Kim, 2013. An empirical study on factors influencing the assimilation and expected benefits of cloud computing and the moderating effect of organizational readiness. Korean Manage. Sci. Rev., 30: 63-77.
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  33. Kim, S.H. and G.A. Kim, 2012. The effect of factors influencing rfid adoption, expected benefits and the moderating effect of presence of champions within the logistics industry. J. Shipping Logistics, 28: 225-244.
  34. Kim, S.H. and G.A. Kim, 2012. An empirical study on factors influencing the assimilation and realized benefits of cloud computing and the moderating effect of organizational supports. J. Internet Electron. Commerce Res., 12: 31-58.
  35. Kim, S.H. and G.A. Kim, 2012. An empirical study of factors influencing diffusion process of cloud computing and the moderating effect of organizational supports. Entrue J. Inf. Technol., 11: 197-214.
  36. Kim, S., M.J. Noh and K.T. Lee, 2012. Effects of antecedents of collectivism on consumers’ intention to use social commerce. J. Applied Sci., 12: 1265-1273.
  37. Kim, S. and Y. Song, 2012. The impact of cognitive factors of is security risk management (ISM) on awareness and intention to develop ISM. Inf. Syst. Rev., 14: 1-26.
  38. Kim, S. and M.J. Noh, 2012. Determinants influencing consumers' trust and trust performance of social commerce and moderating effect of experience Inf. Technol. J., 11: 1369-1380.
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  39. Garrison, G., S. Kim and R.L. Wakefield, 2012. Success factors for deploying cloud computing. Commun. ACM, 55: 62-68.
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  40. Kim, T.G., S.H. Kim and G.A. Kim, 2011. The effect of e-crm factors on customer satisfaction and revisit: A case of online travel business. J. Market. Stud., 19: 89-108.
  41. Kim, S.H., H. Park and G. Kim, 2011. A empirical study on the factors influencing the trust of social commerce (s-Commerce). J. Bus. Res., 26: 95-121.
  42. Kim, S.H. and Y.M. Song, 2011. The impact of relational and external environmental factors on rfid adoption within supply chain and the moderating effect of trust. J. Internet Electron. Commerce Res., 11: 37-63.
  43. Kim, S.H. and Y.M. Song, 2011. The effect of factors influencing RFID adoption and performance and the moderating effect of environment uncertainty within supply Chain. J. Korea Ind. Inf. Syst. Res., 16: 101-119.
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  44. Kim, S.H. and Y.M. Song, 2011. An empirical study on motivational factors influencing information security policy compliance and security behavior of end-users (Employees) in organizations. e-Bus. Stud., 12: 327-349.
  45. Kim, S.H. and H.S. Park, 2011. The impact of service characteristics of smartphone application on perceived value, satisfaction and intention to recommend. Korean Bus. Educ. Rev., 26: 121-142.
  46. Kim, S.H. and H.S. Park, 2011. The effects of mobile application quality on satisfaction and intention to pay mobile application. J. Inf. Syst., 20: 81-109.
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  47. Kim, S.H. and G.A. Kim, 2011. An empirical study on the influence of internal and external characteristics on the social business participation and the moderating effects of psychological contract. J. Korea soc. IT serv., 10: 1-19.
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  48. Kim, S.H. and G.A. Kim, 2011. An empirical study on the influence of environmental determinants on the mobile cloud computing technology usage and the moderating effects of job relevance. J. Inf. Technol. Appl. Manage., 18: 1-20.
  49. Kim, S.H. and G.A. Kim, 2011. An empirical study on the factors affecting the adoption of mobile cloud and the moderating effect of mobile trust. e-Bus. Stud., 12: 281-310.
  50. Kim, S.H., and Y.M. Song, 2010. An empirical study of factors influencing diffusion of open source software and the moderating effect of government supports, Inf. Syst. Rev., 12: 89-116.
  51. Kim, S.H., 2010. Determinants impacting the adoption and implementation of RFID technology and the moderating effect of organizational readiness. J. Inf. Syst., 19: 149-177.
  52. Kim, S.H. and Y.M. Song, 2010. The affecting factors driving the successful collaboration of it between small-medium size and large firms in daegu metropolitan city and gyeongbuk providence. J. Internet e-Commerce, 10: 265-287.
  53. Kim, S.H. and Y.M. Song, 2010. An empirical study on the affecting factors for intention to use mobile web 2.0, Bus. Educ. Rev., 59: 365-389.
  54. Kim, S.H. and Y.M. Song, 2010. A study on the motivating factors influencing intention to share individual users' knowledge in social networking service. e-Business Stud., 11: 327-346.
  55. Kim, S. and G. Garrison, 2010. Understanding users’ behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea. Intl. J. Inf. Manage., 30: 388-398.
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  56. Kim, G.A., Y.M. Song and S.H. Kim, 2010. Smart service: Determinants influencing individual usersintention to adopt appstore and the moderating effect of value. J. Inf. Syst., 19: 181-208.
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  57. Garrison, G., R.L. Wakefield, X. Xu and S.H. Kim, 2010. Globally distributed teams: The effect of diversity on trust, cohesion and individual performance. ACM SIGMIS Database: DATABASE Adv. Inf. Syst., 41: 27-48.
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  58. Garrison, G., R.L. Wakefield, M. Harvey and S.H. Kim, 2010. Exploring perceptions of ‘foreignness’ in virtual teams:its impact on team member satisfaction and turnover intention. Asia Pac. J. Inf. Syst., 20: 101-125.
  59. Song, Y.M., S.H. Kim and H.J. Jung, 2009. The effect of m-learning environment on perceived usefulness, satisfaction, and performance in english learning. Bus. Educ. Rev., 57: 275-302.
  60. Kim, SH. and Y.M. Song, 2009. The system, service factors and subjective norm influencing e-learning adoption intention for is certificate learner. J. Internet e-Commerce, 9: 115-142.
  61. Kim, S.H. and Y.M. Song, 2009. Research on the affecting factors for continuous intention to use open source software (OSS). J. Internet e-Commerce, 9: 257-280.
  62. Kim, S.H. and Y.M. Song, 2009. An Empirical Study on User‟s Intention to Use Government Portal Sites: Moderating Effects of Ambiguity & Government Support. J. Inf. Syst., 18: 117-144.
  63. Kim, S.H. and G. Garrison, 2009. Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Inform. Syst. Front., 11: 323-333.
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  64. Kim, S. and Y. Song, 2009. Determinants influencing individuals' likelihood of adopting and actual use of blueberry. J. Applied Sci., 9: 3662-3671.
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  65. Kim, S.H., 2008. Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals. Inform. Manage., 45: 387-393.
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  66. Kim, S.H., 2008. An empirical study of factors influencing organizational intention to use RFID technology and the moderating effect of presence of champions. J. Bus. Res., 23: 139-171.
  67. Kim, S.H. and P.S. Kim, 2008. The experimental study of the effect of time on participants‟ psychological behaviors on electronic meetings in group decision support system (GDSS) environment. J. Internet e-Commerce, 8: 47-66.
  68. Kim, S., 2008. Appropriation of wireless technology: Direct impacting factors on the youth's adoption intention and usage of the wireless application protocol phone. Inform. Technol. J., 7: 1116-1124.
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  69. Kim, S.H., T.H. Kim and P.S. Kim, 2007. A study of factors influencing customer satisfaction and loyalty of mp3-player. J. Soc. Korea Ind. Syst. Eng., 30: 15-22.
  70. Kim, S.H. and P.S. Kim, 2007. An extension of the technology acceptance model: technological and cognitive influence processes influencing mobile wireless technology adoption. J. Bus. Res., 22: 1-26.
  71. Kim, S.H., M. Aiken and M. Vanjani,` 2006. Profiles in electronic commerce research. Bus. Res. Yearbook, 13: 464-469.
  72. Kim, S.H., 2006. Technological and cognitive influence processes impacting the adoption of mobile-commerce(M-commerce)-an extension of the technology acceptance model (TAM). J. Internet Electron. Commerce, 6: 135-157.
  73. Kim, S.H., 2006. Impact of mobile-commerce: Benefits, technological and strategic issues and implementation. J. Applied Sci., 6: 2523-2531.
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  74. Kim, S.H., 2006. Analysis of real world personnel scheduling problem: an experimental study of lp-based algorithm for multi-time multi-period scheduling problem for hourly employees. Int. J. Soft Comput., 1: 143-148.
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  75. Kim, S.H. and H.J. Jung, 2006. An empirical study on the adoption of mobile wireless technology (MWT): Social and cognitive influence process. Inf. Syst. Rev., 8: 81-103.
  76. Kim, S. H., C. Mims and K.P. Holmes, 2006. An introduction to current trends and benefits of mobile wireless technology use in higher education. AACE J, 1: 77-100.
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  77. Kim, S.H., K. Holmes and C. Mims, 2005. Mobile wireless technology use and implementation: Opening a dialogue on the new technologies in education. TechTrends, 49: 54-63.
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  78. Kim, S.H., 2005. Conceptual understanding of open source software (OSS): An overview of open source software and opening a dialogue on the impact of open source softwarE. Asia J. Inform. Technol., 4: 507-511.
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  79. Kim, S.H., 2005. A theoretical extension of the technology acceptance model: External variables affecting on individual's behavioral intention to use mobile commerce. Asia J. Inform. Technol., 4: 516-523.
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  80. Jung, H.J. and S.H. Kim, 2005. The Web-based database integration approach: The experiment of the composite approach to integrate E-commerce databases using the extensible markup language (XML). Asia J. Inform. Technol., 4: 1130-1136.
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  81. Jung, H.S. and S.H. Kim, 2004. Opportunities in technology-enhanced language learning (TELL) classroom environments. Teach. Eng. Technol., 4: 3-44.
  82. Aiken, M., S. Kim and M. Vanjani, 2004. Chinese, korean, and japanese translation of english electronic meeting comments. Asian J. Inf. Technol., 3: 1291-1303.
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