DOI QR코드

DOI QR Code

The Role of ICT in Smart-work Continuance

  • Received : 2017.12.14
  • Accepted : 2018.02.23
  • Published : 2018.03.30

Abstract

Despite the increasing interest in the positive effects of smart-work, the introduction rate of domestic firms in Korea is lower than that of other developed countries. A gap also exists between the introduction of smart-work program and the actual use by workers. Thus, even if the smart-work program was introduced to firms, the actual usage rate of the program would still be lower than the introduction rate. Moreover, even if the program was initially used, evidence suggests that the usage rate tends to decrease rather than being used continuously. In this study, we intend to find out the mechanism by which the continuance intention of smart-work is formed. To achieve this objective, we established a research model based on literature on Information System (IS) continuance model and Information & Communication Technology (ICT) support. We also hypothesize that concerns about career disadvantage in the mechanism plays a negative role in the satisfaction of smart-work. To analyze the hypothesis empirically, we surveyed domestic workers who used smart-work. Our data analysis was based on 333 responses. We found that all paths were statistically significant, except for the direct effect of ICT support on perceived usefulness and the direct effect of perceived usefulness on smart-work continuance intention. The results of this study extend existing IS continuance model and suggest implications for practical smart-work implementation and improvement.

Keywords

References

  1. Alavi, M., and Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.  https://doi.org/10.2307/3250961
  2. Bagayogo, F. F., Lapointe, L., and Bassellier, G. (2014). Enhanced use of IT: A new perspective on post-adoption. Journal of the Association for Information Systems, 15(7), 361-387.  https://doi.org/10.17705/1jais.00367
  3. Bagozzi, R. P., and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.  https://doi.org/10.1007/BF02723327
  4. Bailyn, L. (1993). Breaking the mold: Women, men, and time in the new corporate world. Simon and Schuster. 
  5. Ball-Rokeach, S. J. (1985). The origins of individual media-system dependency: A sociological framework. Communication Research, 12(4), 485-510.  https://doi.org/10.1177/009365085012004003
  6. Benbasat, I., and Zmud, R. W. (1999). Empirical research in information systems: The practice of relevance. MIS Quarterly, 23(1), 3-16.  https://doi.org/10.2307/249403
  7. Benbasat, I., and Zmud, R. W. (2003). The identity crisis within the IS discipline: Defining and communicating the discipline's core properties. MIS Quarterly, 27(2), 183-194.  https://doi.org/10.2307/30036527
  8. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.  https://doi.org/10.2307/3250921
  9. Bhattacherjee, A., and Barfar, A. (2011). Information technology continuance research: Current state and future directions. Asia Pacific Journal of Information Systems, 21(2), 1-18.  https://doi.org/10.1111/j.1365-2575.2010.00367.x
  10. Carillo, K., Scornavacca, E., and Za, S. (2017). The role of media dependency in predicting continuance intention to use ubiquitous media systems. Information & Management, 54(3), 317-335.  https://doi.org/10.1016/j.im.2016.09.002
  11. Chang, H. S. (2011). Success conditions for smart work program proliferation. Hyundai Research Institute VIP Report, 484, 11-14. 
  12. Chung, C. H. (2011). Smart work promotion trends and challenges for activation. Korea Information Processing Society Review, 1(2), 82-89. 
  13. Coates, J. F. (1997). Long-term technological trends and their implications for management. International Journal of Technology Management, 14(6-8), 579-595.  https://doi.org/10.1504/IJTM.1997.002581
  14. Damasio, A. R. (1995). Descartes' error: Emotion, reason, and the human brain. Putnam Berkley Group, Inc., New York, doi:http://dx.doi.org/10.7202/051028ar. 
  15. Davenport, T. H., and Prusak, L. (1998). Working knowledge. Boston: Harvard Business School Press. 
  16. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.  https://doi.org/10.1287/mnsc.35.8.982
  17. Dewett, T., and Jones, G. R. (2001). The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27(3), 313-346.  https://doi.org/10.1177/014920630102700306
  18. Eaton, S. C. (2003). If you can use them: Flexibility policies, organizational commitment, and perceived performance. Industrial Relations: A Journal of Economy and Society, 42(2), 145-167.  https://doi.org/10.1111/1468-232X.00285
  19. Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.  https://doi.org/10.1177/002224378101800104
  20. Gold, A. H., Malhotra, A., and Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.  https://doi.org/10.1080/07421222.2001.11045669
  21. Gefen, D., Karahanna, E., and Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.  https://doi.org/10.2307/30036519
  22. Glass, J., and Fujimoto, T. (1995). Employer characteristics and the provision of family responsive policies. Work and Occupations, 22(4), 380-411.  https://doi.org/10.1177/0730888495022004002
  23. Gottschalk, P. (2000). Strategic knowledge networks: The case of IT support for Eurojuris law firms in Norway. International Review of Law, Computers & Technology, 14(1), 115-129.  https://doi.org/10.1080/13600860054953
  24. Gupta, A. K., and Govindarajan, V. (2000). Knowledge management's social dimension: Lessons from Nucor Steel. MIT Sloan Management Review, 42(1), 71-80. 
  25. Han, E. S., Huh, P. S., and Sim, J. B. (2011). Analysis on core technologies and solutions for the smart work. In Proceeding of Co-Conference Spring, 1092-1096. 
  26. Hong, S., Thong, J. Y., and Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision support systems, 42(3), 1819-1834.  https://doi.org/10.1016/j.dss.2006.03.009
  27. Judge, T. A., Cable, D. M., Boudreau, J. W., and Bretz, R. D. (1995). An empirical investigation of the predictors of executive career success. Personnel Psychology, 48(3), 485-519.  https://doi.org/10.1111/j.1744-6570.1995.tb01767.x
  28. Kim, D. J., and Kim J. S. (2015). A study on the strategies for improving user satisfaction and continuance usage of social network service. Information Systems Review, 17(1), 171-197.  https://doi.org/10.14329/isr.2015.17.1.171
  29. Kim, H. G., Lee, H. J., and Hong, H. J. (2009). Analysis of Smart Work's Social/Economic Effects and Survey Result on Public Awareness of Smart Work. National Information Society Agency. 
  30. Kim, S. Y., Bae, M. S., and Go, S. J. (2015). An analysis of the factors influencing the adoption of flexible work arrangements in public agencies. Journal of Korean Regional Development, 24(2), 187-217.  https://doi.org/10.18350/ipaid.2015.24.2.187
  31. Ko, E. J., and Kim, S. S. (2017). Motivation to use flexible work arrangements: Focused on the moderating effect of personal, organizational, and job characteristics. Korean Management Consulting Review, 17(4), 87-101. 
  32. Kossek, E. E., Lautsch, B. A., and Eaton, S. C. (2006). Telecommuting, control, and boundary management: Correlates of policy use and practice, job control, and work-family effectiveness. Journal of Vocational Behavior, 68(2), 347-367.  https://doi.org/10.1016/j.jvb.2005.07.002
  33. Lee, H., and Choi, B. (2003). Knowledge management enablers, processes, and organizational performance: An integrative view and empirical examination. Journal of Management Information Systems, 20(1), 179-228.  https://doi.org/10.1080/07421222.2003.11045756
  34. Lee, J. H., and Kim, S. B. (2012). A desirable corporate culture under smart work environment. The Journal of Digital Policy & Management, 10(11), 93-102. 
  35. Lee, J. S., and Kim, H. S. (2010). The Study of Invigoration on Smart Work Current Situation. The Korean Association for Regional Information Society, 13(4), 75-96. 
  36. Lee, M. H., and Lee, J. K. (2011). Smart work research: Review and agenda for future research. National Information Society Agency. 
  37. Lee, S. H., Do, H. O., and Seo, K. D. (2011). A Study on Management Plans for Activating of Smart Work. Journal of Digital Convergence, 9(4), 245-252.  https://doi.org/10.14400/JDPM.2011.9.4.245
  38. Leonard-Barton. D. (1995). Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation. Boston: Harvard Business School Press. 
  39. Leslie, L. M., Manchester, C. F., Park, T. Y., and Mehng, S. A. (2012). Flexible work practices: A source of career premiums or penalties? Academy of Management Journal, 55(6), 1407-1428.  https://doi.org/10.5465/amj.2010.0651
  40. Liao, C., Chen, J. L., and Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in human behavior, 23(6), 2804-2822.  https://doi.org/10.1016/j.chb.2006.05.006
  41. McCloskey, D. W., and Igbaria, M. (2003). Does 'out of sight' mean 'out of mind?' An empirical investigation of the career advancement prospects of telecommuters. Information Resources Management Journal, 16(2), 19-34.  https://doi.org/10.4018/irmj.2003040102
  42. Ministry of Employment and Labor (2010). A plan to spread the flexible work system. 
  43. Ministry of Science and ICT (2015). Survey on smart-work usage status. 
  44. Morgan, K., Morgan, M., and Hall, J. (2000). Psychological developments in high technology teaching and learning environments. British Journal of Educational Technology, 31(1), 71-79.  https://doi.org/10.1111/1467-8535.00136
  45. Noh, K. S., Kim, K. G., and Byun, J. B. (2011). A study on the competence model of smart worker. Journal of Digital Convergence, 9(5), 215-224.  https://doi.org/10.14400/JDPM.2011.9.5.215
  46. O'Driscoll, M. P., Brough, P., Timms, C., and Sawang, S. (2010). Engagement with information and communication technology and psychological well-being. In New developments in theoretical and conceptual approaches to job stress (pp. 269-316), Emerald Group Publishing Limited. 
  47. Oliver, R. L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. Journal of Applied Psychology, 62(4), 480-486.  https://doi.org/10.1037/0021-9010.62.4.480
  48. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.  https://doi.org/10.1177/002224378001700405
  49. Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418-430.  https://doi.org/10.1086/209358
  50. Oliver, R. L., and DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. The Journal of Consumer Research, 14(4), 495-507.  https://doi.org/10.1086/209131
  51. OPM (2008). Status of telework in the federal government: Report to the congress. Retrieved from https://www.telework.gov/reports-studies/reports-to-congress/annual-reports/. 
  52. Palvalin, M., Lonnqvist, A., and Vuolle, M. (2013). Analysing the impacts of ICT on knowledge work productivity. Journal of Knowledge Management, 17(4), 545-557.  https://doi.org/10.1108/JKM-03-2013-0113
  53. Park, W. C., Chung, H. S., Park, D. G. (2013). The perceived usefulness of smartwork and work-family conflict. Korean Journal of Culture and Social Issues, 19(2), 109-131. 
  54. Perlow, L. A. (1995). Putting the work back into work/family. Group & Organization Management, 20(2), 227-239.  https://doi.org/10.1177/1059601195202009
  55. Roberts, J. (2000). From know-how to show-how? Questioning the role of information and communication technologies in knowledge transfer. Technology Analysis & Strategic Management, 12(4), 429-443.  https://doi.org/10.1080/713698499
  56. Roca, J. C., and Gagne, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in human behavior, 24(4), 1585-1604.  https://doi.org/10.1016/j.chb.2007.06.001
  57. Samsung Economic Research Institute (2011). Study on practice strategies of work smart. 
  58. Shockley, K. M., and Allen, T. D. (2010). Investigating the missing link in flexible work arrangement utilization: An individual difference perspective. Journal of Vocational Behavior, 76(1), 131-142.  https://doi.org/10.1016/j.jvb.2009.07.002
  59. Sorebo, O., and Eikebrokk, T. R. (2008). Explaining IS continuance in environments where usage is mandatory. Computers in Human Behavior, 24(5), 2357-2371.  https://doi.org/10.1016/j.chb.2008.02.011
  60. Spence, A. M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355-374.  https://doi.org/10.2307/1882010
  61. Steinmueller, W. E. (2000). Will new information and communication technologies improve the 'codification' of knowledge? Industrial and Corporate Change, 9(2), 361-376.  https://doi.org/10.1093/icc/9.2.361
  62. Stonehouse, G. H., and Pemberton, J. D. (1999). Learning and knowledge management in the intelligent organization. Participation and Empowerment: An International Journal, 7(5), 131-144.  https://doi.org/10.1108/14634449910287846
  63. Thompson, C. A., Beauvais, L. L., and Lyness, K. S. (1999). When work-family benefits are not enough: The influence of work-family culture on benefit utilization, organizational attachment, and work-family conflict. Journal of Vocational Behavior, 54(3), 392-415.  https://doi.org/10.1006/jvbe.1998.1681
  64. Thong, J. Y., Hong, S. J., and Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799-810.  https://doi.org/10.1016/j.ijhcs.2006.05.001
  65. Turel, O., Serenko, A., and Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, 35(4), 1043-1062.  https://doi.org/10.2307/41409972
  66. Williams, J. (2000). Unbending Gender: Why Work and Family Conflict and What to Do about It. Oxford, U.K.: Oxford University Press.