Mobile Nursing Information System Utilization: The Task-Technology Fit Perspective
Abstract
Task-technology fit theory considers how technology may best be deployed to support individuals and facilitate the completion of tasks. This study separates the fit construct into the two realms of task-technology fit and technology-individual fit and integrates organization readiness with the objective of investigating the effectiveness of mobile nursing information systems in terms of helping nursing staff to accomplish daily clinical tasks. Study participants were clinical professionals with system usage experience who work at one medical center. Results indicated that technology-individual fit is the factor that most strongly influences usage, followed respectively by task-technology fit and organization readiness. Therefore, strategies designed to implement mobile nursing information systems should focus greater effort on fitting the system to system users by making these systems easy to learn and use, and training easy to complete. System functions should not only facilitate accomplishment of daily clinical tasks such as quickly obtaining information and accurate data but also be portable and provide a user-friendly, easy-to-operate interface. Organizational readiness, the commitment and support of top management, and nursing staff willingness to learn and use the new system are also important factors that influence system usage.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The task-technology fit theory suggests that the adoption of technology is influenced by individual and organizational factors.
“The task-technology fit theory also suggests that the adoption of technology is influenced by other factors, such as individual and organizational factors (Goodhue and Thompson, 1995; Lin, 2014; Alyoussef, 2023).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Lin, 2014
Cites
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
Extending the technology acceptance model with task–technology fit constructs
Dishaw, M. T., & Strong, D. M. (1999) · Information & Management · doi:10.1016/s0378-7206(98)00101-3 · Cited by 1,772 · see citing works
Schepers, J., & Wetzels, M. G. M. (2006) · Information & Management · doi:10.1016/j.im.2006.10.007 · Cited by 1,690 · see citing works
Understanding User Evaluations of Information Systems
Goodhue, D. L. (1995) · Management Science · doi:10.1287/mnsc.41.12.1827 · Cited by 1,218 · see citing works
A Theory of Task/Technology Fit and Group Support Systems Effectiveness1
Zigurs, I., & Buckland, B. K. (1998) · MIS Quarterly · doi:10.2307/249668 · Cited by 1,027 · see citing works
Pervasive Healthcare and Wireless Health Monitoring
Varshney, U. (2007) · Mobile Networks and Applications · doi:10.1007/s11036-007-0017-1 · Cited by 680 · see citing works
Gagnon, M.-P., Desmartis, M., Labrecque, M., Car, J., Pagliari, C., Pluye, P., Frémont, P., Gagnon, J., Tremblay, N., & Légaré, F. (2012) · Journal of Medical Systems · doi:10.1007/s10916-010-9473-4 · Cited by 637 · see citing works
Mobile computing acceptance factors in the healthcare industry: a structural equation model
Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.06.006 · Cited by 603 · see citing works
Goodhue, D. L. (1998) · Decision Sciences · doi:10.1111/j.1540-5915.1998.tb01346.x · Cited by 539 · see citing works
Lin, T., & Huang, C.-C. (2008) · Information & Management · doi:10.1016/j.im.2008.06.004 · Cited by 523 · see citing works
Self-citationIt is not for fun: An examination of social network site usage
Xu, C., Ryan, S. D., Prybutok, V. R., & Wen, C. (2012) · Information & Management · doi:10.1016/j.im.2012.05.001 · Cited by 415 · see citing works
The adoption of mobile healthcare by hospital's professionals: An integrative perspective
Wu, I., Li, J.-Y., & Fu, C.-Y. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.003 · Cited by 410 · see citing works
The role of task-technology fit as users’ motivation to continue information system use
Larsen, T. J., Sørebø, A. M., & Sørebø, Ø. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.02.006 · Cited by 352 · see citing works
Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.02.005 · Cited by 319 · see citing works
A review and a framework of handheld computer adoption in healthcare
Lu, Y.-C., Xiao, Y., Sears, A., & Jacko, J. A. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.03.001 · Cited by 315 · see citing works
User evaluations of IS as surrogates for objective performance
Goodhue, D. L., Klein, B. D., & March, S. T. (2000) · Information & Management · doi:10.1016/s0378-7206(00)00057-4 · Cited by 284 · see citing works
Adoption of mobile technology in business: a fit‐viability model
Liang, T., Chen-wei, H., Yeh, Y., & Lin, B. (2007) · Industrial Management & Data Systems · doi:10.1108/02635570710822796 · Cited by 269 · see citing works
Task-Technology Fit for Mobile Information Systems
Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2010) · Journal of Information Technology · doi:10.1057/jit.2010.10 · Cited by 219 · see citing works
Examining the success factors for mobile work in healthcare: A deductive study
Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. (2008) · Decision Support Systems · doi:10.1016/j.dss.2008.11.003 · Cited by 213 · see citing works
Mobile information and communication tools in the hospital
Ammenwerth, E., Buchauer, A., Bludau, H.-B., & Haux, R. (2000) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00056-8 · Cited by 208 · see citing works
TSIKNAKIS, M., & KOUROUBALI, A. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.07.001 · Cited by 167 · see citing works
Dishaw, M. T., & Strong, D. M. (1998) · Journal of Systems and Software · doi:10.1016/s0164-1212(98)10048-1 · Cited by 142 · see citing works
Extending task technology fit with computer self-efficacy
Strong, D. M., Dishaw, M. T., & Bandy, D. B. (2006) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1161345.1161358 · Cited by 113 · see citing works
Su, K.-W., & Liu, C.-L. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9576-y · Cited by 104 · see citing works
Mobile health IT: The effect of user interface and form factor on doctor–patient communication
Alsos, O. A., Das, A., & Svanæs, D. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.09.004 · Cited by 94 · see citing works
Hsiao, S.-J., Li, Y., Chen, Y.-L., & Ko, H.-C. (2008) · Journal of Medical Systems · doi:10.1007/s10916-008-9199-8 · Cited by 74 · see citing works
Analyzing the Factors That Affect Information Systems Use: A Task-Technology Fit Meta-Analysis
Cane, S. A., & McCarthy, R. V. (2009) · Journal of Computer Information Systems · doi:10.1080/08874417.2009.11645368 · Cited by 71 · see citing works
Liu, Y., Lee, Y., & Chen, A. N. K. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.009 · Cited by 68 · see citing works
User-designed information tools to support communication and care coordination in a trauma hospital
Gürses, A. P., Xiao, Y., & Hu, P. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.03.007 · Cited by 65 · see citing works
MobileNurse: hand-held information system for point of nursing care
Choi, J., Chun, J., Lee, K., Lee, S., Shin, D.-H., Hyun, S., Kim, D., & Kim, D. (2003) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2003.07.002 · Cited by 52 · see citing works
Siau, K. L., & Shen, Z. (2006) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230500095651 · Cited by 43 · see citing works
Hsiao, J.-L., & Chen, R.-F. (2011) · CIN Computers Informatics Nursing · doi:10.1097/ncn.0b013e31823eb82c · Cited by 34 · see citing works
Fieldwork for requirements: Frameworks for mobile healthcare applications
Doherty, G. J., McKnight, J., & Luz, S. F. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.06.005 · Cited by 22 · see citing works
Nurses’ Information Appraisal Within the Clinical Setting
Carter‐Templeton, H. (2013) · CIN Computers Informatics Nursing · doi:10.1097/nxn.0b013e3182812ef6 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1215706 · Cited by 33 · see citing works
- Authors
- LIN, T.-C.
- Affiliations
- National Taipei University of Nursing and Health Science (TW)
- Corresponding author
- LIN, TUNG-CHENG
- ORCID
- LIN, TUNG-CHENG
- Venue
- CIN Computers Informatics Nursing
- Published
- 2014-03
- Volume
- 32
- Issue
- 3
- Pages
- 129-137
- ISSN
- 1538-2931 (ISSN-L)
- OpenAlex
- W2333000376
- Cited by
- 32
- References
- 35
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 3 · 2019: 5 · 2018: 1 · 2017: 2 · 2016: 4 · 2015: 4
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CIN Computers Informatics Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- task-technology fit, system use, nurses, user interface design, top management support, technology adoption
- MeSH terms
- Information Systems, Models, Theoretical, Nursing Informatics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
