The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Relationship of Information Technology User Personality, Security and Control

보안 및 통제와 정보기술 사용자의 성격의 관계

  • Received : 2009.11.18
  • Accepted : 2010.05.31
  • Published : 2010.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Personality is comprehensive nature of the mood and attitude of people, most clearly revealed in the interaction with other people. This study is a analysis on personality type to information system security and control from financial institute employee. Based on 'The Big Five' personality model, this study develops hypothetical causal relationships of potential organization member's personality and their information system security and control. Research hypotheses are empirically tested with data collected from 901 employees. Results show that employees of high level security mind are the owner of conscientious and emotional stable personality and the employees of high level control mind are the owner of agreeable and emotional stable personality. Therefore the owner of agreeable and stable personality is higher security and control than others.

Keywords

References

  1. 김정신, 정민자, "MBTI 에 의한 심리유형과 Holland 의 직업적 성격유형과의 관계," 한국여성교양학회지 6권, 1999, pp. 25-55.
  2. 김종원, 정석찬, 김은정, "정보기술 수용에 관한 실증적 연구," 정보시스템연구, 제16권, 제4호, 2007, pp. 157-176.
  3. 류성렬, 서우종, 구철모, "기업 간 의사결정 협력과 업무 성과에 관한 연구," 정보시스템연구, 제18권 제3호, 2009, pp.89-110. https://doi.org/10.5859/KAIS.2009.18.3.089
  4. 목진휴, 최영훈, 명승환, "정보기술이 정책결정과정에 미치는 영향," 한국행정학보, 제32권 3호, pp. 35-54.
  5. 안선경, 허경호, "개인의 성격과 의사소통 능력간의 관계," 한국언론학보, 제48권 2호, 2004, pp. 321-345.
  6. 유희경, 김원, 이병관, "특급호텔 조업원의 성격, 통제, 성과의 관계분석," 관광학연구 제33권 5호, 2009, pp. 55-75
  7. 윤종수, 윤종욱, 김유정, 박승봉, "기업의 내부능력에 대한 정보시스템 지원과 기업성과간의 관련성 연구," 정보시스템연구, 제15권, 제3호, 2006, pp. 56-85.
  8. 이승종, 박재조, "직업성격유형 및 직업환경유형과 MBTI 선호경향성의 관계분석," 교육심리연구, 16:3 2002, pp. 161-179.
  9. 이제환, "성격적 특성과 정보행태의 관계," 한국도서관, 정보학회지, 제40권 2호, 2009, pp. 161-182. https://doi.org/10.16981/kliss.40.2.200906.161
  10. 이종현, 신강현, 허창구, 황재선, "성격 6요인과 과업수행 및 맥락수행간의 관계," 2008 한국심리학회 연차학술발표대회 논문집, pp. 286- 287.
  11. 이해선, 박재년, "비즈니스 시스템 분석을 위한 확장된 정보구조 모델링," 한국컴퓨터종합학술대회논문집, Vol. 32, No. 1, 2005, pp. 379-381.
  12. 정해철, 김현수, "조직구성원의 정보보안 의식과 조직의 정보보안 수준과의 관계," 정보기술과 데이터베이스 저널, 7(2), 2000, pp. 117-134
  13. 최진혁, " 보안정책과 효과적인 보안 프로그램의 수립," http://cafe.naver.com/hackersclub/948,2010.
  14. K 모바일http://news.nate.com/view/20090414n09824
  15. Bauer, T. N., & Green, S. G. Develop-ment of leader-member exchange: A longitudinal test. Academy of Management Journal, 39, 1996. pp. 1538 -1567. https://doi.org/10.2307/257068
  16. Costa, P. T. Jr., & McCrae, R. R. NEO Personality Inventory Revised (NEO-PI-R) and NEO Five-Factor Inventory (NEO- FFI) Professional Manual. Psychological Assessment Resources: Odessa, FL. 1992.
  17. Hergenhahn, B. R., and M. H. Olson, "An Introduction to Theories of Personality", Fifth edition, Upper Saddle River, NJ: Pentice Hall, Inc. 1999.
  18. Hughes J. R., and R. Beer, "A Security Checklist for ERP Implementations ", Educause Quarterly, Nov. 7, 2007, pp. 7-10.
  19. Jung, C. G., "Psychological Types", Princeton, NJ: Princeton University Press. 1921.
  20. Patrick R. Wheeler, James E. Hunton and Stephanie M. Bryant, "Accounting Information Systems Research Opportunities Using Personality Type Theory and the Myers-Briggs Type Indicator", Journal of Information Sytems, Vol. 18, No. 1, 2004, Spring, pp. 1-19. https://doi.org/10.2308/jis.2004.18.1.1
  21. Pervin. L. A., & John, O. P. Personality : Theory and research. Canada : John Wiley & Sons. 1970.
  22. Phares, E, Introduction to personality, 1984.
  23. Rudd, C., An Introductory Overview of ITIL, itSMF, 2004.

Cited by

  1. Application Strategies for Neuroscience in Information Systems Design Science Research vol.53, pp.3, 2013, https://doi.org/10.1080/08874417.2013.11645627
  2. Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook) vol.29, pp.6, 2013, https://doi.org/10.1016/j.chb.2013.07.018
  3. The impact of web site quality on flow‐related online shopping behaviors in C2C e‐marketplaces vol.23, pp.5, 2013, https://doi.org/10.1108/MSQ-11-2012-0150
  4. Online Flow Experience and Perceived Quality of a Brand Website: InPascani.ro Case Study vol.149, 2014, https://doi.org/10.1016/j.sbspro.2014.08.252
  5. The effect of customers’ perceived benefits on virtual brand community loyalty vol.40, pp.3, 2016, https://doi.org/10.1108/OIR-09-2015-0300
  6. The Effect of Online versus Offline Retailer-Brand Image Incongruity on the Flow Experience vol.23, pp.4, 2015, https://doi.org/10.1080/10696679.2015.1049681
  7. Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents vol.16, 2015, https://doi.org/10.1016/j.tmp.2015.09.002
  8. Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users vol.36, pp.3, 2016, https://doi.org/10.1016/j.ijinfomgt.2015.11.015
  9. From sPassion to sWOM: The role of flow 2018, https://doi.org/10.1108/OIR-09-2016-0243
  10. Enhancing the consumer-perceived benefits of a mass-customized product through its online sales configurator vol.117, pp.6, 2017, https://doi.org/10.1108/IMDS-05-2016-0185
  11. An empirical examination of user adoption of location-based services vol.13, pp.1, 2013, https://doi.org/10.1007/s10660-013-9106-3
  12. Mining messages: Exploring consumer response to consumer- vs. firm-generated ads vol.10, pp.6, 2011, https://doi.org/10.1002/cb.379
  13. Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning vol.63, 2013, https://doi.org/10.1016/j.compedu.2012.12.003
  14. The benefits and dangers of flow experience in high school students’ internet usage: The role of parental support vol.41, 2014, https://doi.org/10.1016/j.chb.2014.09.039
  15. Effects of collaborative online shopping on shopping experience through social and relational perspectives vol.50, pp.4, 2013, https://doi.org/10.1016/j.im.2013.02.003
  16. Feature weighted naïve Bayes algorithm for information retrieval of enterprise systems vol.8, pp.1, 2014, https://doi.org/10.1080/17517575.2013.860481
  17. Tools from moral psychology for measuring personal moral culture vol.43, pp.3-4, 2014, https://doi.org/10.1007/s11186-014-9221-8
  18. vol.28, pp.2, 2018, https://doi.org/10.1108/IntR-12-2016-0389