Abstract
Virtual work has increasingly gained global popularity in the business community, with virtuality becoming integrated into traditional office work settings. As the essence of virtuality comprises geographic dispersion and information systems (IS) use, the implementation of a wide variety of novel and advanced information technologies (IT)/IS as productivity and communication tools have fueled the trend in which virtual work permeates the modern workplace. Despite the heavy use of advanced IT/IS as an integral part of virtual work, our understanding on identifying the work dynamics between IS-related antecedents and employee work outcomes in virtual work contexts is still limited. Drawing on efficacy theory, this study focuses on two important IS-related antecedents within virtual work contexts—IS support for creativity and effective IS use—and their effects on job satisfaction. Specifically, we examine the mediating effect of effective IS use on the relationship between IS support for creativity and job satisfaction above and beyond the perceived usefulness and IS satisfaction, which have previously been recognized as impactful antecedents for IS-related effectiveness. To test the posited hypotheses, data were collected (N = 504) from an online survey platform. Using multiple mediation analyses, the study results confirm our hypotheses that (1) IS support for creativity is positively related to job satisfaction in virtual work settings; and (2) effective IS use mediates the relationship between IS support for creativity and job satisfaction even after controlling for perceived usefulness and IS satisfaction, which indicates the unique explanatory power of effective IS use for increased job satisfaction in virtual work settings. Implications for theory and practice are discussed.
Similar content being viewed by others
Notes
The following results were obtained (where ER = early responders [10%] and LR = late responders [10%]): information privacy concerns (ER = 4.00, LR = 4.52, t =|1.429|), psychological reactance (ER = 4.10, LR = 4.36, t =|0.818|), procedural justice (ER = 3.29, LR = 3.04, t =|1.568|), and IS satisfaction (ER = 4.25, LR = 3.88, t =|1.037|). The t-tests (independent samples) indicated that there were no statistically significant differences.
We sincerely thank an anonymous referee for raising this issue and challenging us to think about the alternative paths that would contribute to the theory and practice on the literature of workplace creativity using IS.
References
Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the theory of trying: effects of work environment and gender on post-adoption information technology use. MIS Quarterly, 29(3), 427.
Amabile, T. M. (2018). Creativity in context: Update to the social psychology of creativity. Routledge.
Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal, 39(5), 1154–1184.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
Ang, J., & Soh, P. H. (1997). User information satisfaction, job satisfaction and computer background: An exploratory study. Information & Management, 32(5), 255–266.
Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485–1509.
Bala, H., & Bhagwatwar, A. (2018). Employee dispositions to job and organization as antecedents and consequences of information systems use. Information Systems Journal, 28(4), 650–683.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs.
Barki, H., & Huff, S. L. (1985). Change, attitude to change, and decision support system success. Information & Management, 9(5), 261–268.
Barlow, J. B., & Dennis, A. R. (2016). Not as smart as we think: A study of collective intelligence in virtual groups. Journal of Management Information Systems, 33(3), 684–712.
Baroudi, J., & Lucas, H. C. (1994). The role of information technology in organization design. Journal of Management Information Systems, 10(4), 9–23.
Bock, G.-W., Zmud, R. W., Kim, Y.-G., & Lee, J.-N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological factors, and organizational climate. MIS Quarterly, 29(1), 87–111.
Bollen, K. A. (1989). Structural equations with latent variables. Wiley.
Boudreau, M. C., & Robey, D. (2005). Enacting integrated information technology: A human agency perspective. Organization Science, 16(1), 3–18.
Bowling, N. A., & Hammond, G. D. (2008). A meta-analytic examination of the construct validity of the Michigan organizational assessment questionnaire job satisfaction subscale. Journal of Vocational Behavior, 73(1), 63–77.
Brislin, R. W., Lonner, W. J., & Thorndike, R. M. (1973). Cross-cultural: Research methods. Year Book Medical Pub.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage Publications.
Buhrmester, M., Kwang, T., & Gosling, S. (2011). Amazon’s mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5.
Burton-Jones, A., & Grange, C. (2013). From use to effective use: A representation theory perspective. Information Systems Research, 24(3), 632–658.
Burton-Jones, A., & Volkoff, O. (2017). How can we develop contextualized theories of effective use? A demonstration in the context of community-care electronic health records. Information Systems Research, 28(3), 468–489.
Cammann, C., Fichman, M., Jenkins, D., & Klesh, J. (1979). The Michigan organizational assessment questionnaire. University of Michigan.
Cascio, W. F. (2000). Managing a virtual workplace. The Academy of Management Executive, 14(3), 81–90.
Cheney, P. H., & Scarpello, V. (1985). Job satisfaction and information systems research. Journal of Management Information Systems, 2(3), 21–36.
Chidambaram, L. (1996). Relational development in computer-supported groups. MIS Quarterly, 20, 143–165.
Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 1.
Cummings, J., & Dennis, A. R. (2018). Virtual first impressions matter: The effect of enterprise social networking sites on impression formation in virtual teams. MIS Quarterly, 42(3), 697–718.
Dalton, B. (2004). Creativity, habit, and the social products of creative action: Revising Joas, incorporating Bourdieu. Sociological Theory, 22(4), 603–622.
Deci, E. L. (1980). The psychology of self-determination. D. C. Heath and Company.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.
Delone, W. H., & McLean, E. R. (2003). The Delone and Mclean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.
Dicke, T., Marsh, H. W., Parker, P. D., Guo, J., Riley, P., & Waldeyer, J. (2019). Job satisfaction of teachers and their principals in relation to climate and student achievement. Journal of Educational Psychology, 112, 1061–1073.
Dobrow Riza, S., Ganzach, Y., & Liu, Y. (2018). Time and job satisfaction: A longitudinal study of the differential roles of age and tenure. Journal of Management, 44(7), 2558–2579.
Dutcher, E. G. (2012). The effects of telecommuting on productivity: An experimental examination. The role of dull and creative tasks. Journal of Economic Behavior & Organization, 84(1), 355–363.
Eden, D. (2001). Means efficacy: External sources of general and specific subjective efficacy. In M. Erez, U. Kleinbeck, & H. Thierry (Eds.), Work motivation in the context of a globalizing economy (pp. 73–86). Lawrence Erlbaum.
Eden, D., Ganzach, Y., Flumin-Granat, R., & Zigman, T. (2010). Augmenting means efficacy to boost performance: Two field experiments. Journal of Management, 36(3), 687–713.
Ericsson, K. A. (1999). Creative expertise as superior reproducible performance: Innovative and flexible aspects of expert performance. Psychological Inquiry, 10(4), 329–333.
Ericsson, K. A. (2003). The search for general abilities and basic capacities. The psychology of abilities, competencies, and expertise (pp. 93–125). Cambridge University Press.
Fishbach, A., & Ferguson, M. J. (2007). The goal construct in social psychology. In A. W. Kruglanski & E. T. Higgins (Eds.), Social psychology: Handbook of basic principles (pp. 490–515). The Guilford Press.
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables with measurement errors. Journal of Marketing Research, 18, 39–50.
Gajendran, R. S., & Harrison, D. A. (2007). The good, the bad, and the unknown about telecommuting: Meta-analysis of psychological mediators and individual consequences. American Psychological Association.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725.
Gelderman, M. (1998). The relation between user satisfaction, usage of information systems and performance. Information & Management, 34(1), 11–18.
George, J. M., & Zhou, J. (2001). When openness to experience and conscientiousness are related to creative behavior: An interactional approach. Journal of applied psychology, 86(3), 513.
Gilson, L. L., Maynard, M. T., Jones Young, N. C., Vartiainen, M., & Hakonen, M. (2015). Virtual teams research: 10 years, 10 themes, and 10 opportunities. Journal of Management, 41(5), 1313–1337.
Gist, M. E., & Mitchell, T. R. (1992). Self-efficacy: A theoretical analysis of its determinants and malleability. Academy of Management Review, 17(2), 183–211.
Glăveanu, V. P. (2012). Habitual creativity: Revising habit, reconceptualizing creativity. Review of General Psychology, 16(1), 78.
Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust web-based studies? American Psychologist, 59(2), 93–104.
Griffith, T. L., & Neale, M. A. (2001). 8. Information processing in traditional, hybrid, and virtual teams: From nascent knowledge to transactive memory. Research in Organizational Behavior, 23, 379–421.
Grover, V., Teng, J., Segars, A. H., & Fiedler, K. (1998). The influence of information technology diffusion and business process change on perceived productivity: The is executive’s perspective. Information & Management, 34(3), 141–159.
Hill, E. J., Miller, B. C., Weiner, S. P., & Colihan, J. (1998). Influences of the virtual office on aspects of work and work/life balance. Personnel Psychology, 51(3), 667–683.
Howell, J. (2015). Moving to the cloud. Strategic Finance, 97(6), 30–37.
Hsieh, J.J.P.-A., Rai, A., & Keil, M. (2008). Understanding digital inequality: Comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS Quarterly, 32(1), 97–126.
Janssen, O. (2001). Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal, 44(5), 1039–1050.
Jarvenpaa, S. L., Shaw, T. R., & Staples, D. S. (2004). Toward contextualized theories of trust: The role of trust in global virtual teams. Information Systems Research, 15(3), 250–267.
Joshi, K., & Rai, A. (2000). Impact of the quality of information products on information system users’ job satisfaction: An empirical investigation. Information Systems Journal, 10(4), 323–345.
Judge, T. A., Thoresen, C. J., Bono, J. E., & Patton, G. K. (2001). The job satisfaction-job performance relationship: A qualitative and quantitative review. Psychological bulletin, 127(3), 376.
Judge, T. A., Weiss, H. M., Kammeyer-Mueller, J. D., & Hulin, C. L. (2017). Job attitudes, job satisfaction, and job affect: A century of continuity and of change. Journal of Applied Psychology, 102(3), 356.
Kahai, S. S. (2012). Leading in a digital age: What’s different, issues raised, and what we know. In M. C. Bligh & R. E. Riggio (Eds.), Exploring distance in leader-follower relationships: When near is far and far is near (pp. 63–108). Routledge.
Karimikia, H., Safari, N., and Singh, H. 2020. Being useful: how information systems professionals influence the use of information systems in enterprises. Information Systems Frontiers 22(2), 429–453.
Kaufmann, C., Weber, M., & Haisley, E. (2013). The role of experience sampling and graphical displays on one’s investment risk appetite. Management Science, 59(2), 323–340.
Kettinger, W. J., Zhang, C., & Chang, K.-C. (2013). Research note—a view from the top: Integrated information delivery and effective information use from the senior executive’s perspective. Information Systems Research, 24(3), 842–860.
Li, X., Hsieh, J.P.-A., & Rai, A. (2013). Motivational differences across post-acceptance information system usage behaviors: An investigation in the business intelligence systems context. Information Systems Research, 24(3), 659–682.
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705–737.
Lindell, M. K., & Whitney, D. J. 2001. Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114.
Locke, E. (1976). The nature and causes of job satisfaction. In V. Md Dunnette (Ed.), Handbook of industrial and organizational psychology (pp. 1297–1350). Rand McNally.
Locke, E. A., & Latham, G. P. (1990). Work motivation and satisfaction: Light at the end of the tunnel. Psychological Science, 1(4), 240–246.
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173–181.
Makarius, E. E., & Larson, B. Z. (2017). Changing the perspective of virtual work: Building virtual intelligence at the individual level. Academy of Management Perspectives, 31(2), 159–178.
Marakas, G., Yi, M., & Johnson, R. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126–163.
Marlow, S. L., Lacerenza, C. N., & Salas, E. (2017). Communication in virtual teams: A conceptual framework and research agenda. Human Resource Management Review, 27(4), 575–589.
Martins, L. L., Gilson, L. L., & Maynard, M. T. (2004). Virtual teams: What do we know and where do we go from here? Journal of Management, 30(6), 805–835.
Martins, L. L., & Shalley, C. E. (2011). Creativity in virtual work: Effects of demographic differences. Small Group Research, 42(5), 536–561.
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of it business value. MIS Quarterly, 28(2), 283–322.
Morris, S. A., Marshall, T. E., & Rainer, R. K., Jr. (2002). Impact of user satisfaction and trust on virtual team members. Information Resources Management Journal, 15(2), 22.
Mouakket, S., & Sun, Y. 2019. Investigating the impact of personality traits of social network sites users on information disclosure in China: the moderating role of gender. Information Systems Frontiers, 1–17.
Neufeld, D. J., & Fang, Y. (2005). Individual, social and situational determinants of telecommuter productivity. Information & Management, 42(7), 1037–1049.
Nicholson, N., & West, M. 1988. Managerial job change: men and women in transition. Cambridge University Press.
Nordbäck, E. S., & Espinosa, J. A. (2019). Effective coordination of shared leadership in global virtual teams. Journal of Management Information Systems, 36(1), 321–350.
Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428.
Orlikowski, W. J. (2000b). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428.
Orlosky, J., Kiyokawa, K., & Takemura, H. (2017). Virtual and augmented reality on the 5g highway. Journal of Information Processing, 25, 133–141.
Ortiz de Guinea, A., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33(3), 433–444.
Paul, S., Seetharaman, P., Samarah, I., & Mykytyn, P. P. (2004). Impact of heterogeneity and collaborative conflict management style on the performance of synchronous global virtual teams. Information & Management, 41(3), 303–321.
Peng, C.-H., Lurie, N. H., & Slaughter, S. A. (2019). Using technology to persuade: Visual representation technologies and consensus seeking in virtual teams. Information Systems Research, 30(3), 948–962.
Podsakoff, P. M., & Organ, D. W. 1986. Self-reports in organizational research: problems and prospects. Journal of Management, 12(4), 531–544.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. 2003. Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Polites, G. L., & Karahanna, E. (2013). The embeddedness of information systems habits in organizational and individual level routines: Development and disruption. MIS Quarterly, 37(1), 221–246.
Raghuram, S., Tuertscher, P., & Garud, R. (2010). Research note—mapping the field of virtual work: A cocitation analysis. Information Systems Research, 21(4), 983–999.
Ragu-Nathan, T., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of is success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50.
Reiter-Palmon, R., Mitchell, K. S., & Royston, R. 2019. Improving creativity in organizational settings: applying research on creativity to organizations.
Rhoades, L., & Eisenberger, R. (2002). Perceived organizational support: A review of the literature. Journal of Applied Psychology, 87(4), 698–714.
Richardson, H. A., Simmering, M. J., & Sturman, M. C. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762–800.
Robert, L. P., Jr., Dennis, A. R., & Ahuja, M. K. (2018). Differences are different: Examining the effects of communication media on the impacts of racial and gender diversity in decision-making teams. Information Systems Research, 29(3), 525–545.
Runco, M. (1995). The creativity and job satisfaction of artists in organizations. Empirical Studies of the Arts, 13, 39–45.
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006). Information system success: Individual and organizational determinants. Management Science, 52(12), 1849–1864.
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607.
Seddon, P. B. (1997). A respecification and extension of the Delone and Mclean model of is success. Information Systems Research, 8(3), 240.
Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17(4), 517.
Shalley, C. E., Gilson, L. L., & Blum, T. C. (2000). Matching creativity requirements and the work environment: Effects on satisfaction and intentions to leave. Academy of Management Journal, 43(2), 215–223.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological methodology (pp. 290–312). American Sociological Association.
Sternberg, R. J. 2012. The assessment of creativity: an investment-based approach. Creativity Research Journal, 24(1), 3–12.
Sousa, M. J., & González-loureiro, M. 2016. Employee knowledge profiles - a mixed-research methods approach. Information Systems Frontiers, 18(6), 1103–1117.
Sweis, R. J. (2010). The relationship between information technology adoption and job satisfaction in contracting companies in Jordan. Journal of Information Technology in Construction, 15, 44–63.
Thong, J. Y. L., Yap, C.-S., & Raman, K. S. (1996). Top management support, external expertise and information systems implementation in small businesses. Information Systems Research, 7(2), 248.
Ülkü, S., Dimofte, C. V., & Schmidt, G. M. (2012). Consumer valuation of modularly upgradeable products. Management Science, 58(9), 1761–1776.
Valentine, S., Godkin, L., Fleischman, G. M., & Kidwell, R. (2011). Corporate ethical values, group creativity, job satisfaction and turnover intention: The impact of work context on work response. Journal of Business Ethics, 98(3), 353–372.
Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for dirrections? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115.
Verplanken, B., Aarts, H., & Van Knippenberg, A. (1997). Habit, information acquisition, and the process of making travel mode choices. European Journal of Social Psychology, 27(5), 539–560.
Viswesvaran, C., Deshpande, S. P., & Joseph, J. (1998). Job satisfaction as a function of top management support for ethical behavior: A study of Indian managers. Journal of Business Ethics, 17(4), 365–371.
Wang, Y. S. 2008. Assessing E‐commerce systems success: a respecification and validation of the delone and mclean model of is success. Information Systems Journal, 18(5), 29–557.
Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34, 25–33.
Woodman, R. W., Sawyer, J. E., and Griffin, R. W. 1993. Toward a theory of organizational creativity. Academy of management review 18(2), 293–321.
Yang, X., Tong, Y., & Teo, H. H. (2015). Fostering fast-response spontaneous virtual team: Effects of member skill awareness and shared governance on team cohesion and outcomes. Journal of the Association for Information Systems, 16(11), 2.
Yoo, Y., & Torrey, B. (2002). National culture and knowledge management in a global learning organization. In C. W. Choo & N. Bontis (Eds.), The strategic management of intellectual capital and organizational knowledge (pp. 421–435). Oxford University Press.
Yuthas, K., & Young, S. T. (1998). Material matters: Assessing the effectiveness of materials management is. Information & Management, 33(3), 115–124.
Zhang, X., Ma, L., Xu, B., & Xu, F. (2019). How social media usage affects employees’ job satisfaction and turnover intention: An empirical study in China. Information & Management, 56(6), 103136.
Zhou, J., & George, J. M. (2001). When job dissatisfaction leads to creativity: Encouraging the expression Oe voice. Academy of Management Journal, 44(4), 682–696.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix A
1.1 Common Method Bias
To address common method bias in our measures, we employed two statistical techniques: Harman’s single-factor test and marker-variable analysis.
First, we employed Harman’s single-factor test as recommended by Podsakoff & Organ (1986). In this test, common method bias is regarded as an issue if results from an exploratory factor analysis reveal that (1) a single factor emerges or (2) the first factor accounts for the majority of the covariance among the variables. In our study, the results from Harman’s test suggested that common method bias was not a serious issue among these variables, as more than one factor emerged from the unrotated solution. All indicators showed high factor loadings and low cross-loadings. The principal components explained almost an equal amount of the 74% total variance, ranging from 3.98% to 30.46%. The first factor accounted for 30.46% of the variance; the second for 14.16%. This indicates that our data did not suffer from common method bias.
However, because Harman’s single-factor test is increasingly being contested in terms of its ability to detect common method bias (Podsakoff et al., 2003), we applied another statistical technique to address this issue in our data—namely, the marker-variable analysis suggested by Lindell and Whitney (Lindell and Whitney, 2001). We used a marker variable, which is a variable theoretically unrelated to our studied variables, to adjust the correlations among the principal variables. The concept of “work novelty” was employed as our marker variable; it was measured using a three-item scale developed by Nicholson and West (1988 (see Appendix B). The responses were recorded on a seven-point Likert scale. The results revealed no high correlations between the marker and the principal variables (Table 7). Based on the two robust statistical techniques, we concluded that common method bias was not a serious concern in our data.
Appendix B
2.1 Survey Questions
Latent variables | Items | Scale (references) |
---|---|---|
Job satisfaction | Under the virtual/telecommuting work environment…, 1.All in all, I am satisfied with my job 2.In general, I like my job 3.In general, I like working at my company | 7-point Likert Scale Cammann et al. (1979) |
Effective IS use | Relative to others in my company, I am successful in using the company information systems in my virtual workplace… 1.….to improve my job performance 2.….to increase my productivity in my job 3.….to enhance my effectiveness in the job 4.….to make it easier to do my job 5.….to improve quality of my decision making 6.….to save time in my job | 7-point Likert Scale Kettinger et al. (2013) |
Perceived IS support for creativity | My company information systems in my virtual workplace… 1.….Help me find new ways to achieve goals or objectives 2.….Help me come up with new and practical ideas to improve performance 3.….Help me search out new technologies, processes, techniques, and/or product ideas 4.….Help me find new ways to increase my quality on the job 5.….Are good sources of creative ideas 6.….Let me be not afraid to take risks 7.….Let me promote and champion ideas to others 8.….Let me exhibit creativity on the job when given the opportunity to do so 9.….Let me develop adequate plans and schedules for the implementation of new ideas 10.….Often let me have new and innovative ideas 11.….Help me come up with creative solutions to problems 12.….Often lead me to a fresh approach to problems 13.….Help me find new ways of performing work tasks* | 7-point Likert Scale Zhou and George (2001) |
IS satisfaction | 1.I am satisfied with the reliability of information output from the information systems 2.I am satisfied with the quality of online information and reports available in the company information system 3.I am satisfied with the time required for the company’s information systems to give me output 4.I am satisfied with the level of relevancy received from company information systems 5.I am satisfied with the accuracy of the outputs from the company information systems | 7-point Likert Scale Adapted and modified from Thong et al. (1996) |
Perceived usefulness | 1.Using the information systems enables me to accomplish job-related tasks more quickly 2.Using the information systems improves my job performance 3.Using the information systems in my job increases my productivity 4.Using the information systems enhances my effectiveness on the job 5.Using the information systems makes it easier to do my job 6.I find the information systems useful in my job | 7-point Likert Scale Rai et al. (2002) |
Work novelty (marker) | 1.The tasks involved in my current job are different from those in my previous jobs 2.The skills required in my current job are different from those in my previous jobs 3.The methods used to do the job in my current job are different from those in my previous jobs | 7-point Likert Scale Nicholson and West (1988) |
Rights and permissions
About this article
Cite this article
Cho, J., Park, I. Does Information Systems Support for Creativity Enhance Effective Information Systems Use and Job Satisfaction in Virtual Work?. Inf Syst Front 24, 1865–1886 (2022). https://doi.org/10.1007/s10796-021-10208-7
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10796-021-10208-7