IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v171y2021ics0040162521004261.html
   My bibliography  Save this article

Toward the understanding of the appropriation of ICT-based Smart-work and its impact on performance in organizations

Author

Listed:
  • Ko, Eun-Jung
  • Kim, A-Hyun
  • Kim, Sang-Soo

Abstract

This study tried to understand the use of smart-work based on the concept of “appropriation” and examined the antecedents and consequences of smart-work use from a structuration and individual aspects simultaneously. A conceptual framework proposed in this study illustrates the antecedents of smart-work appropriation to explore how they influence task performance and job satisfaction. Most of the structuration and individual factors, drawn from adaptive structuration theory and technology acceptance model, were found to accelerate smart-work appropriation, which consequently raising task performance and job satisfaction. The usefulness of this study lies in its comprehensive approach that considers the antecedents and consequences of smart work appropriation by analyzing both structuration and individual dimensions, and this approach yields important implications for research and practice.

Suggested Citation

  • Ko, Eun-Jung & Kim, A-Hyun & Kim, Sang-Soo, 2021. "Toward the understanding of the appropriation of ICT-based Smart-work and its impact on performance in organizations," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    • Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521004261
    DOI: 10.1016/j.techfore.2021.120994
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521004261
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.120994?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Coenen, Marja & Kok, Robert A.W., 2014. "Workplace flexibility and new product development performance: The role of telework and flexible work schedules," European Management Journal, Elsevier, vol. 32(4), pages 564-576.
    2. Gerardine DeSanctis & Marshall Scott Poole, 1994. "Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory," Organization Science, INFORMS, vol. 5(2), pages 121-147, May.
    3. Björn Bjerke, Claes M. Hultman, 2003. "A dynamic perspective on entrepreneurship, leadership and management as a proper mix for growth," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 1(1), pages 72-93.
    4. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    5. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    6. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    7. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    8. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    9. Hassan Jorfi & Hashim Fauzy Bin Yaccob & Ishak Mad Shah, 2011. "The Relationship between Demographics Variables, Emotional Intelligence, Communication Effectiveness, Motivation, and Job Satisfaction," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 1(1), pages 38-62, April.
    10. Wynne W. Chin & Abhijit Gopal & W. David Salisbury, 1997. "Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation," Information Systems Research, INFORMS, vol. 8(4), pages 342-367, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Battisti, Enrico & Alfiero, Simona & Leonidou, Erasmia, 2022. "Remote working and digital transformation during the COVID-19 pandemic: Economic–financial impacts and psychological drivers for employees," Journal of Business Research, Elsevier, vol. 150(C), pages 38-50.
    2. Hyunjung (Helen) Choi & Jin Young Lee & Youngjoon Choi & Yuxian Juan & Choong-Ki Lee, 2022. "How to Enhance Smart Work Effectiveness as a Sustainable HRM Practice in the Tourism Industry," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    3. Hanna Wlodarkiewicz-Klimek, 2021. "New Models of Work Organization in an Industry 4.0 Enterprise - Evolution of the Form of Work," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1095-1105.
    4. Bilan, Yuriy & Oliinyk, Olena & Mishchuk, Halyna & Skare, Marinko, 2023. "Impact of information and communications technology on the development and use of knowledge," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    2. Andrew Burton-Jones & Camille Grange, 2013. "From Use to Effective Use: A Representation Theory Perspective," Information Systems Research, INFORMS, vol. 24(3), pages 632-658, September.
    3. Andrew Burton-Jones & Detmar W. Straub, 2006. "Reconceptualizing System Usage: An Approach and Empirical Test," Information Systems Research, INFORMS, vol. 17(3), pages 228-246, September.
    4. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    5. Gerald C. Kane & Maryam Alavi, 2008. "Casting the Net: A Multimodal Network Perspective on User-System Interactions," Information Systems Research, INFORMS, vol. 19(3), pages 253-272, September.
    6. Jong Uk Kim & Rajiv Kishore, 2019. "Do we Fully Understand Information Systems Failure? An Exploratory Study of the Cognitive Schema of IS Professionals," Information Systems Frontiers, Springer, vol. 21(6), pages 1385-1419, December.
    7. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    8. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    9. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    10. Sora Kang & Kai H. Lim & Min Soo Kim & Hee-Dong Yang, 2012. "Research Note ---A Multilevel Analysis of the Effect of Group Appropriation on Collaborative Technologies Use and Performance," Information Systems Research, INFORMS, vol. 23(1), pages 214-230, March.
    11. Kummitha, Rama Krishna Reddy, 2018. "Entrepreneurial urbanism and technological panacea: Why Smart City planning needs to go beyond corporate visioning?," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 330-339.
    12. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    13. Zhang, Xi & Wei, Xin & Zhang, Te & Tan, Yahe & Xu, Dongming & Ordóñez de Pablos, Patricia, 2023. "How platform-based internet hospital innovation affects doctors’ active stress coping efforts: The conservation of resource theory perspective," Technovation, Elsevier, vol. 121(C).
    14. Pierluigi Zerbino & Davide Aloini & Riccardo Dulmin & Valeria Mininno, 2021. "Why enterprise resource planning initiatives do succeed in the long run: A case-based causal network," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-25, December.
    15. Peters, Linda D., 2006. "Conceptualising computer-mediated communication technology and its use in organisations," International Journal of Information Management, Elsevier, vol. 26(2), pages 142-152.
    16. Prager, Fynnwin & Rhoads, Mohja & Martínez, Jose N., 2022. "The COVID-19 economic shutdown and the future of flexible workplace practices in the South Bay region of Los Angeles County," Transport Policy, Elsevier, vol. 125(C), pages 241-255.
    17. Hoang Viet Nguyen & Ninh Nguyen & Bach Khoa Nguyen & Steven Greenland, 2021. "Sustainable Food Consumption: Investigating Organic Meat Purchase Intention by Vietnamese Consumers," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    18. Qing (Ray) Cao & Andrew N. K. Chen & Bradley T. Ewing & Mark A. Thompson, 2021. "Evaluating Information System Success and Impact on Sustainability Practices: A Survey and a Case Study of Regional Mesonet Information Systems," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    19. Wm. David Salisbury & Wynne W. Chin & Abhijit Gopal & Peter R. Newsted, 2002. "Research Report: Better Theory Through Measurement—Developing a Scale to Capture Consensus on Appropriation," Information Systems Research, INFORMS, vol. 13(1), pages 91-103, March.
    20. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521004261. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.