An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design

Tian-Hsiang Huang; Wan-Ling Chao; Kao-Shing Hwang; Yao-Mei Chen; Wen-Hsien Ho

doi:10.46604/ijeti.2023.12801

Authors

Tian-Hsiang Huang Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan, ROC
Wan-Ling Chao Information Management Office, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ROC
Kao-Shing Hwang Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC
Yao-Mei Chen School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC; Superintendent Office, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC
Wen-Hsien Ho Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC; College of Professional Studies, National Pingtung University of Science and Technology, Pingtung, Taiwan, ROC

DOI:

https://doi.org/10.46604/ijeti.2023.12801

Keywords:

intelligent retrieval, e-pharmacopeia, responsive web design, technology acceptance model, information systems success model

Abstract

To develop an e-pharmacopeia retrieval mobile system aimed at assisting medical personnel in efficiently assessing precise drug information and ensuring patient safety, this study utilized responsive web design. The research framework incorporated the convergence of the technology acceptance model (TAM) and the information systems success model (ISSM) to investigate user satisfaction and continuance intention. A survey was administered to 151 pharmacy students who had utilized the system for over 30 minutes. The findings revealed that the TAM-ISSM model significantly influenced user satisfaction, surpassing the individual impacts of TAM and ISSM. Furthermore, user satisfaction exhibited a positive and significant impact on continuance intention, which, in turn, demonstrated a positive and significant influence on both individual and organizational performance. This suggests that the proposed system is proficient in accurately identifying and processing drugs, thereby mitigating the pain induced by diseases in patients.

References

J. Gadge and S. Bhirud, “Contextual Weighting Approach to Compute Term Weight in Layered Vector Space Model,” Journal of Information Science, vol. 47, no. 1, pp. 29-40, February 2021.

P. Senin and S. Malinchik, “Sax-Vsm: Interpretable Time Series Classification Using Sax and Vector Space Model,” IEEE 13th International Conference on Data Mining, pp. 1175-1180, December 2013.

T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient Estimation of Word Representations in Vector Space,” https://doi.org/10.48550/arXiv.1301.3781, January 16, 2013.

G. Sidorov, A. Gelbukh, H. Gómez-Adorno, and D. Pinto, “Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model,” Computación y Sistemas, vol. 18, no. 3, pp. 491-504, 2014.

E. Marcotte, Responsive Web Design, 2nd ed., New York: A Book Apart, 2015.

J. Rensfeldt, “Responsiv Webbdesign Och Plattformsoberoende Webbplatser: Webbplatsanpassning Med Inriktning Mot Flexibilitet,” Student thesis, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics, Linnaeus University, Sweden, 2012.

C. Gibbs and U. Gretzel, “Drivers of Responsive Website Design Innovation by Destination Marketing Organizations,” Information and Communication Technologies in Tourism, pp. 581-592, February 2015.

W. C. Liao, “Exploring the Adoption Behavior of Responsive Web Design Based on the Integrated Tam-Ttf Model,” Master’s thesis, Department of Information Management, National University of Kaohsiung, Kaohsiung, 2013. (In Chinese)

P. Y. Hsu, “A Usability Study of Responsive Web Design on Smartphone Interface – A Case Study of Northeast and Yilan Coast National Scenic Area Website,” Master’s thesis, Department of Digital Technology Design(Master Program in Toy and Game Design), National Taipei University of Education, Taipei, 2015. (In Chinese)

I. V. Moura, L. B. de Almeida, W. V. da Silva, C. P. da Veiga, and F. Costa, “Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model,” SAGE Open, vol. 10, no. 4, article no. 2158244020967942, October-December 2020.

I. O. Adeyemi and A. O. Issa, “Integration of Information System Success Model (ISSM) and Technology Acceptance Model (TAM): Proposing Students’ Satisfaction with University Web Portal Model,” Record and Library Journal, vol. 6, no. 1, pp. 69-79, April 2020.

H. C. Lin and C. C. Chen, ““Fit” Determining Nurses’ Satisfaction of Nursing Information System Usage,” HCI International 2015 - Posters’ Extended Abstracts: Communications in Computer and Information Science, vol. 529, pp. 334-339, August 2015.

R. Li, “Modeling the Continuance Intention to Use Automated Writing Evaluation Among Chinese EFL Learners,” SAGE Open, vol. 11, no. 4, article no. 21582440211060782, October-December 2021.

E. A. Bakin, O. V. Stanevich, D. M. Danilenko, D. A. Lioznov, and A. N. Kulikov, “Fast Prototyping of a Local Fuzzy Search System for Decision Support and Retraining of Hospital Staff During Pandemic,” Health Information Science and Systems, vol. 9, no. 1, article no. 21, December 2021.

F. D. Davis, “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results,” Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA, 1985.

W. H. DeLone and E. R. McLean, “The Delone and McLean Model of Information Systems Success: A Ten-Year Update,” Journal of Management Information Systems, vol. 19, no. 4, pp. 9-30, 2003.

F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, vol. 35, no. 8, pp. 982-1003, August 1989.

L. F. Pitt, R. T. Watson, and C. B. Kavan, “Service Quality: A Measure of Information Systems Effectiveness,” MIS Quarterly, vol. 19, no. 2, pp. 173-187, June 1995.

A. Bhattacherjee, “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” MIS Quarterly, vol. 25, no. 3, pp. 351-370, September 2001.

D. Goodhue, “The Model Underlying the Measurement of the Impacts of the Iic on the End-Users,” Journal of the American Society for Information Science, vol. 48, no. 5, pp. 449-453, May 1997.

M. A. Youndt and S. A. Snell, “Human Resource Configurations, Intellectual Capital, and Organizational Performance,” Journal of Managerial Issues, vol. 16, no. 3, pp. 337-360, Fall 2004.

H. C. Lin, M. H. Hsu, and C. W. Yang, “The Influences of Computer System Success and Informatics Competencies on Organizational Impact in Nursing Environments,” CIN: Computers, Informatics, Nursing, vol. 32, no. 2, pp. 90-99, February 2014.

J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. Tatham, Multivariate Data Analysis, 6th ed., Upper Saddle River NJ: Pearson Prentice Hall, 2006.

C. M. Chiu, C. S. Chiu, and H. C. Chang, “Examining the Integrated Influence of Fairness and Quality on Learners’ Satisfaction and Web-Based Learning Continuance Intention,” Information Systems Journal, vol. 17, no. 3, pp. 271-287, July 2007.

L. Zhao, Y. Lu, L. Zhang, and P. Y. K. Chau, “Assessing the Effects of Service Quality and Justice on Customer Satisfaction and the Continuance Intention of Mobile Value-Added Services: An Empirical Test of a Multidimensional Model,” Decision Support Systems, vol. 52, no. 3, pp. 645-656, February 2012.

H. C. Lin, J. Y. Chiou, C. C. Chen, and C. W. Yang, “Understanding the Impact of Nurses’ Perception and Technological Capability on Nurses’ Satisfaction with Nursing Information System Usage: A Holistic Perspective of Alignment,” Computers in Human Behavior, vol. 57, pp. 143-152, April 2016.

J. V. Chen, R. J. M. Jubilado, E. P. S. Capistrano, and D. C. Yen, “Factors Affecting Online Tax Filing - An Application of the Is Success Model and Trust Theory,” Computers in Human Behavior, vol. 43, pp. 215-262, February 2015.

V. Cho, T. C. E. Cheng, and W. M. J. Lai, “The Role of Perceived User-Interface Design in Continued Usage Intention of Self-Paced E-Learning Tools,” Computers & Education, vol. 53, no. 2, pp. 216-227, September 2009.

S. G. Leggat, T. Bartram, G. Casimir, and P. Stanton, “Nurse Perceptions of the Quality of Patient Care: Confirming the Importance of Empowerment and Job Satisfaction,” Health Care Management Review, vol. 35, no. 4, pp. 355-364, October 2010.

C. W. Chang, H. C. Huang, C. Y. Chiang, C. P. Hsu, and C. C. Chang, “Social Capital and Knowledge Sharing: Effects on Patient Safety,” Journal of Advanced Nursing, vol. 68, no. 8, pp. 1793-1803, August 2012.