Understanding the impact of nurses' perception and technological capability on nurses' satisfaction with nursing information system usage: A holistic perspective of alignment

Based on the holistic perspective of 'alignment', evaluating the alignment of human-computer interaction is crucial to ensure effective information system implementation and a positive impact on performance. This study aims to examine the impact of alignment between the nurses' perception of NIS (Nursing Information System) performability and technological capability of NIS achieving success on nurses' satisfaction and nursing care performance through the perspectives of alignment as covariation and alignment as profile deviation. A quantitative method and a cross-section design were used to collect data from 531 registered nurses in Taiwan. The results indicate that the coalignment of nurses' perception of NIS performability and the technological capability of NIS achieving success has a positive impact on nurses' satisfaction with NIS usage. Consequently, nurses' satisfaction will increase with the improved performance of nursing care. The results of this research will help the management of NIS application and development within the context of nursing care. The alignment of NP-TC is a critical factor; it determines nurses' satisfaction with NIS usage.Nurses' satisfaction with NIS usage has a positive impact on nursing care performance.Supervisors should use a holistic perspective of alignment of NP-TC to improving the nursing care performance.

[1]  Jiju Antony,et al.  Critical success factors of TQM implementation in Hong Kong industries , 2002 .

[2]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

[3]  Richard G Booth,et al.  Examining the Functionality of the DeLone and McLean Information System Success Model as a Framework for Synthesis in Nursing Information and Communication Technology Research , 2012, Computers, informatics, nursing : CIN.

[4]  Masako Kanai-Pak,et al.  Nurses' views on the use, quality and user satisfaction with electronic medical records: questionnaire development. , 2007, Journal of advanced nursing.

[5]  Hsien-Cheng Lin,et al.  The Influences of Computer System Success and Informatics Competencies on Organizational Impact in Nursing Environments , 2014, Computers, informatics, nursing : CIN.

[6]  Chia-Cheng Chao,et al.  Measuring mobile patient safety information system success: An empirical study , 2008, Int. J. Medical Informatics.

[7]  Rai-Fu Chen,et al.  Factors Determining Nurse Acceptance of Hospital Information Systems , 2012, Computers, informatics, nursing : CIN.

[8]  Hui-Ling Huang,et al.  Knowledge management fit and its implications for business performance: A profile deviation analysis , 2012, Knowl. Based Syst..

[9]  Young-Hee Yom,et al.  A comparative study of patients' and nurses' perceptions of the quality of nursing services, satisfaction and intent to revisit the hospital: a questionnaire survey. , 2007, International journal of nursing studies.

[10]  Piotr Wilk,et al.  The Influence of Nursing Unit Empowerment and Social Capital on Unit Effectiveness and Nurse Perceptions of Patient Care Quality , 2014, The Journal of nursing administration.

[11]  J. Hair.  Multivariate data analysis , 1972 .

[12]  Erin K. Chiou,et al.  Organizational and Technological Correlates of Nurses’ Trust in a Smart Intravenous Pump , 2013, Computers, informatics, nursing : CIN.

[13]  Chun-Ming Chang,et al.  Factors affecting knowledge management success: The fit perspective , 2012, J. Knowl. Manag..

[14]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[15]  Stacie Petter,et al.  Evaluating the success of an emergency response medical information system , 2011, Int. J. Medical Informatics.

[16]  Jonathan M. Teich,et al.  Using information systems to measure and improve quality , 1999, Int. J. Medical Informatics.

[17]  Elske Ammenwerth,et al.  Effect of a nursing information system on the quality of information processing in nursing: An evaluation study using the HIS-monitor instrument , 2011, Int. J. Medical Informatics.

[18]  Heng-Chiang Huang,et al.  Social capital and knowledge sharing: effects on patient safety. , 2012, Journal of advanced nursing.

[19]  Sandra Maria Correia Loureiro,et al.  Brand Equity and Brand Loyalty in the Internet Banking Context: FIMIX-PLS Market Segmentation , 2011 .

[20]  Paul J. Fortier,et al.  Information Systems and Healthcare XXI: A Dynamic, Client-Centric, Point-Of-Care System for the Novice Nurse , 2007, Commun. Assoc. Inf. Syst..

[21]  David C. Yen,et al.  Factors affecting online tax filing - An application of the IS Success Model and trust theory , 2015, Comput. Hum. Behav..

[22]  Saonee Sarker,et al.  Examining the success factors for mobile work in healthcare: A deductive study , 2009, Decis. Support Syst..

[23]  Chris Sauer,et al.  Research Paper: Information Technology in Complex Health Services: Organizational Impediments to Successful Technology Transfer and Diffusion , 1997, J. Am. Medical Informatics Assoc..

[24]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[25]  A. V. D. Ven,et al.  The Concept of Fit in Contingency Theory. , 1984 .

[26]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[27]  Louis Raymond,et al.  Performance outcomes of strategic and IT competencies alignment , 2004, J. Inf. Technol..

[28]  Peter B. Seddon.  A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[29]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[30]  Donna L Jenkins,et al.  Protecting patient privacy in the age of instant access. , 2002, Clinical nurse specialist CNS.

[31]  Alison Parkes,et al.  The effect of task-individual-technology fit on user attitude and performance: An experimental investigation , 2013, Decis. Support Syst..

[32]  R. X. Liu,et al.  Principal component regression analysis with SPSS , 2003, Comput. Methods Programs Biomed..

[33]  Kuan-Chia Lin,et al.  Factors affecting the use of nursing information systems in Taiwan. , 2005, Journal of advanced nursing.

[34]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[35]  Bonnie Kaplan,et al.  Evaluating informatics applications - some alternative approaches: theory, social interactionism, and call for methodological pluralism , 2001, Int. J. Medical Informatics.

[36]  Fan-Yun Pai,et al.  Applying the Technology Acceptance Model to the introduction of healthcare information systems , 2011 .

[37]  J. Spetz,et al.  Hospital Information Technology Systems' Impact on Nurses and Nursing Care , 2010, The Journal of nursing administration.

[38]  Judith A. Effken,et al.  Development and initial evaluation of the Clinical Information Systems Success Model (CISSM) , 2013, Int. J. Medical Informatics.

[39]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[40]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[41]  Ray J. Paul,et al.  Towards a Framework for Health Information Systems Evaluation , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[42]  Shin-Yuan Hung,et al.  Investigating primary health care nurses' intention to use information technology: An empirical study in Taiwan , 2014, Decis. Support Syst..

[43]  Asimina Vasalou,et al.  Cultural differences, experience with social networks and the nature of "true commitment" in Facebook , 2010, Int. J. Hum. Comput. Stud..

[44]  Albert H. Segars,et al.  Knowledge Management: An Organizational Capabilities Perspective , 2001, J. Manag. Inf. Syst..

[45]  Kar Yan Tam,et al.  Understanding the behavior of mobile data services consumers , 2008, Inf. Syst. Frontiers.

[46]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[47]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[48]  N. Venkatraman,et al.  Environment--strategy coalignment: an empirical test of its performance implications , 2011 .

[49]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[50]  Tung-Cheng Lin,et al.  Mobile Nursing Information System Utilization: The Task-Technology Fit Perspective , 2014, Computers, informatics, nursing : CIN.

[51]  Ting-Ting Lee,et al.  Two-stage evaluation of the impact of a nursing information system in Taiwan , 2008, Int. J. Medical Informatics.

[52]  Jessica S. Ancker,et al.  The Triangle Model for evaluating the effect of health information technology on healthcare quality and safety , 2012, J. Am. Medical Informatics Assoc..

[53]  Christopher G. Gresov.  Exploring fit and misfit with multiple contingencies. , 1989 .

[54]  Su-Chao Chang,et al.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry , 2008, Int. J. Medical Informatics.

[55]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[56]  M R Anderlik,et al.  Privacy and confidentiality of genetic information: what rules for the new science? , 2001, Annual review of genomics and human genetics.

[57]  Peter R. Croll,et al.  Determining the privacy policy deficiencies of health ICT applications through semi-formal modelling , 2011, Int. J. Medical Informatics.

[58]  Timothy Bartram,et al.  Nurse perceptions of the quality of patient care: Confirming the importance of empowerment and job satisfaction , 2010, Health care management review.

[59]  L. Jacoby,et al.  Which Route to Recovery? , 2004, Psychological science.

[60]  Ji Li,et al.  CEOs Transformational Leadership and Product Innovation Performance: : The Roles of Corporate Entrepreneurship and Technology Orientation , 2014 .

[61]  Toni M. Somers,et al.  Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data , 2004, Inf. Syst. Res..

[62]  Jaeki Song,et al.  Trust in health infomediaries , 2007, Decis. Support Syst..

[63]  N. Venkatraman,et al.  The Concept of Fit in Strategy Research: Towards Verbal and Statistical Correspondence , 2018 .

[64]  Joseph S. Valacich,et al.  Technology Adoption by Groups: A Valence Perspective , 2005, J. Assoc. Inf. Syst..

[65]  Chien-Lung Hsu,et al.  The Role of Privacy Protection in Healthcare Information Systems Adoption , 2013, Journal of Medical Systems.

[66]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[67]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[68]  Snunith Shoham,et al.  Intentions of Hospital Nurses to Work With Computers: Based on the Theory of Planned Behavior , 2008, Computers, informatics, nursing : CIN.

[69]  Paul A. Pavlou,et al.  From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development , 2006, Inf. Syst. Res..

[70]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.