How to cite this paper
Li, Z., Lu, C., Li, N., Panichakarn, B., He, X & Gu, R. (2025). Exploring the adoption intention of long-term care regulatory systems in Guangxi, China: The role of innovation attributes and perceived risk.Decision Science Letters , 14(3), 575-586.
Refrences
Albertsen, L., Wiedmann, K.-P., & Schmidt, S. (2020). The impact of innovation-related perception on consumer acceptance of food innovations – Development of an integrated framework of the consumer acceptance process. Food Quality and Preference, 84, 103958. doi:10.1016/j.foodqual.2020.103958
Alcouffe, S., Boitier, M., & Jabot, R. (2024). An integrated literature review on the adoption and diffusion of multicapital ac-counting innovations. Sustainability Accounting, Management and Policy Journal, ahead-of-print(ahead-of-print). doi:10.1108/SAMPJ-12-2023-0912
Arif, I., Aslam, W., & Hwang, Y. (2020). Barriers in adoption of internet banking: A structural equation modeling - Neural network approach. Technology in Society, 61, 101231. doi:10.1016/j.techsoc.2020.101231
Bao, Y. (2009). Organizational resistance to performance‐enhancing technological innovations: a motivation‐threat‐ability framework. Journal of Business & Industrial Marketing, 24(2), 119-130. doi:10.1108/08858620910931730
Berta, W., Teare, G. F., Gilbart, E., Ginsburg, L. S., Lemieux-Charles, L., Davis, D., & Rappolt, S. J. H. C. M. R. (2005). The contingencies of organizational learning in long-term care: factors that affect innovation adoption. Health care manage-ment review, 30(4), 282-292.
Bezboruah, C. K., Paulson, D., & Smith, J. (2014). Management attitudes and technology adoption in long-term care facilities. Journal of Health Organization and Management, 28(3), 344-365. doi:10.1108/JHOM-11-2011-0118
Bonett, D. G., & Wright, T. A. (2015). Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of organizational behavior, 36(1), 3-15. doi:10.1002/job.1960
Bygstad, B., & and Øvrelid, E. (2020). Architectural alignment of process innovation and digital infrastructure in a high-tech hospital. European Journal of Information Systems, 29(3), 220-237. doi:10.1080/0960085X.2020.1728201
Bylianto, L. O., & Chan, K. Q. (2023). Face masks inhibit facial cues for approachability and trustworthiness: an eyetracking study. Current Psychology, 42(31), 26996-27007. doi:10.1007/s12144-022-03705-8
Cao, C., Dai, H., & Li, D. (2023). How to promote the healthy development of continuous participation in smart medical and elderly care systems: The dual perspective of perceived value and risk. DIGITAL HEALTH, 9, 20552076231197425. doi:10.1177/20552076231197425
Chai, K.-H., & Yeo, C. (2012). Overcoming energy efficiency barriers through systems approach—A conceptual framework. Energy Policy, 46, 460-472. doi:10.1016/j.enpol.2012.04.012
Chen, C., Panichakarn, B., & Tseng, Y. (2024). Forging a Sustainable Path: Unleashing Collaborative Innovation to Expedite the Integration of Green Technologies in Supply Chains. Logforum, 20(2), 1.
Chen, C. & Panichakarn, B. (2023). Can Company Size and Region Shape the Sustainability Landscape?: Exploring Their Moderating Effects on Green Innovation in Chinese Manufacturing. International Journal of Information Systems and Sup-ply Chain Management (IJISSCM), 17(1), 1-18.
Cherry, B. J., Ford, E. W., & Peterson, L. T. J. H. c. m. r. (2011). Experiences with electronic health records: early adopters in long-term care facilities. Health care management review, 36(3), 265-274. doi:10.1097/HMR.0b013e31820e110f
Chokphukhiao, C., Tun, W. S. T., Masa, S., Chaiayuth, S., Loeiyood, J., Pongskul, C., . . . International, G. (2024). Revolution-izing elderly care: Building a healthier aging society through innovative long‐term care systems and assessing the long‐term care acceptance model. Geriatrics & Gerontology International, 24(5), 477-485. doi:10.1111/ggi.14856
Dearing, J. W., & Cox, J. G. J. H. a. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183-190. doi:10.1377/hlthaff.2017.1104
Dehghani, M., William Kennedy, R., Mashatan, A., Rese, A., & Karavidas, D. (2022). High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology. Journal of Business Research, 149, 393-411. doi:10.1016/j.jbusres.2022.05.015
Deng, Q., Junhong, L., Zhichao, Z., Yuhang, Z., & and Liu, W. (2021). Dynamics of Health Technology Diffusion in the Inte-grated Care System (DHTDICS): A Development and Validation Study in China. Risk Management and Healthcare Policy, 14(null), 331-344. doi:10.2147/RMHP.S293144
Deng, W., Yang, T., Deng, J., Liu, R., Sun, X., Li, G., & Wen, X. (2023). Investigating Factors Influencing Medical Practition-ers’ Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study. J Med Internet Res, 25, e46621. doi:10.2196/46621
Du, P., Dong, T., & Ji, J. (2020). Current Status of the Long-term Care Security System for Older Adults in China. Research on Aging, 43(3-4), 136-146. doi:10.1177/0164027520949117
Du, Y., Zhou, Q., Cheng, W., Zhang, Z., Hoelzer, S., Liang, Y., . . . Tang, W. (2022). Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study. JMIR Public Health Surveill, 8(12), e40771. doi:10.2196/40771
Ehrenhard, M., Kijl, B., & Nieuwenhuis, L. (2014). Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population. Technological Forecasting and Social Change, 89, 306-315. doi:10.1016/j.techfore.2014.08.002
El-Yafouri, R., Klieb, L., & Sabatier, V. (2022). Psychological, social and technical factors influencing electronic medical records systems adoption by United States physicians: a systematic model. Health Research Policy and Systems, 20(1), 48. doi:10.1186/s12961-022-00851-0
Fareed, G., Nawaz, M. J., Iqbal, S., Ummara, U., & Hamza, A. J. M. L. (2024). Examining The Impact Of Operational Strategy And Employee Motivation On Project Performance In The Construction Projects. MIGRATION LETTERS, 21(S8), 86-101. doi:10.59670/ml.v21is8.9232
Featherman, M., Jia, S., Califf, C. B., & Hajli, N. (2021). The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption. Technological Forecasting and Social Change, 169, 120847. doi:10.1016/j.techfore.2021.120847
Feng, Q., Yeung, W.-J. J., Wang, Z., & Zeng, Y. (2019). Age of Retirement and Human Capital in an Aging China, 2015–2050. European Journal of Population, 35(1), 29-62. doi:10.1007/s10680-018-9467-3
Feng, Z., Glinskaya, E., Chen, H., Gong, S., Qiu, Y., Xu, J., & Yip, W. (2020). Long-term care system for older adults in Chi-na: policy landscape, challenges, and future prospects. The Lancet, 396(10259), 1362-1372. doi:10.1016/S0140-6736(20)32136-X
Feng, Z., Liu, C., Guan, X., & Mor, V. J. H. A. (2012). China’s rapidly aging population creates policy challenges in shaping a viable long-term care system. Health Affairs, 31(12), 2764-2773. doi:10.1377/hlthaff.2012.0535
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.): SAGE Publications, Inc.
Hasan, R., Shams, R., & Rahman, M. (2021). Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri. Journal of Business Research, 131, 591-597. doi:10.1016/j.jbusres.2020.12.012
Hayes, K. J., Eljiz, K., Dadich, A., Fitzgerald, J.-A., & Sloan, T. (2015). Trialability, observability and risk reduction acceler-ating individual innovation adoption decisions. Journal of Health Organization and Management, 29(2), 271-294. doi:10.1108/JHOM-08-2013-0171
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based struc-tural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. doi:10.1007/s11747-014-0403-8
Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: implications for high technology product adoption. Journal of Consumer Marketing, 23(4), 182-198. doi:10.1108/07363760610674310
Huang, D., Caizhong, Z., Caili, L., Huiqiao, H., Xiao, P., Yanfei, P., . . . and Lai, L. (2024). Survey on the Current Status of El-derly Health Services in 1,305 Medical Institutions in Guangxi. Risk Management and Healthcare Policy, 17(null), 2547-2556. doi:10.2147/RMHP.S475319
Huang, H., Chen, Z., Cao, S., Xiao, M., Xie, L., & Zhao, Q. (2021). Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study. Frontiers in Public Health, Volume 9 - 2021. doi:10.3389/fpubh.2021.687048
Hunziker, S., & Blankenagel, M. (2024). Cross-Sectional Research Design. In S. Hunziker & M. Blankenagel (Eds.), Research Design in Business and Management: A Practical Guide for Students and Researchers (pp. 187-199). Wiesbaden: Springer Fachmedien Wiesbaden.
Iqbal, M., & Zahidie, A. (2021). Diffusion of innovations: a guiding framework for public health. Scandinavian Journal of Public Health, 50(5), 533-537. doi:10.1177/14034948211014104
Iversen, A., Liddell, K., Fear, N., Hotopf, M., & Wessely, S. J. B. (2006). Consent, confidentiality, and the data protection act. Bmj, 332(7534), 165-169. doi:10.1136/bmj.332.7534.165
Kaur, S., & Arora, S. (2020). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moder-ator. Journal of Asia Business Studies, 15(1), 1-30. doi:10.1108/JABS-08-2019-0252
Kendall, H., Clark, B., Li, W., Jin, S., Jones, G. D., Chen, J., . . . Frewer, L. J. (2022). Precision agriculture technology adop-tion: a qualitative study of small-scale commercial “family farms” located in the North China Plain. Precision Agriculture, 23(1), 319-351. doi:10.1007/s11119-021-09839-2
Khanagha, S., Volberda, H., Sidhu, J., & Oshri, I. J. E. M. R. (2013). Management innovation and adoption of emerging tech-nologies: The case of cloud computing. European Management Review, 10(1), 51-67. doi:10.1111/emre.12004
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10. doi:10.4018/ijec.2015100101
Kock, N. J. I. J. o. e.-C. (2016). Hypothesis testing with confidence intervals and P values in PLS-SEM. International Journal of e-Collaboration (ijec), 12(3), 1-6. doi:10.4018/IJeC.2016070101
Kurzhals, K. (2021). Quantitative Research: Questionnaire Design and Data Collection. In K. Kurzhals (Ed.), Resource Re-combination in Firms from a Dynamic Capability Perspective (pp. 177-207). Wiesbaden: Springer Fachmedien Wiesbaden.
Lai‐Ming Tam, J. (2012). The moderating role of perceived risk in loyalty intentions: an investigation in a service context. Marketing Intelligence & Planning, 30(1), 33-52. doi:10.1108/02634501211193903
Lin, K.-Y., Wang, Y.-T., & Huang, T. K. (2020). Exploring the antecedents of mobile payment service usage. Online Infor-mation Review, 44(1), 299-318. doi:10.1108/OIR-05-2018-0175
Lobanov-Rostovsky, S., He, Q., Chen, Y., Liu, Y., Wu, Y., Liu, Y., . . . Brunner, E. J. (2023). Growing old in China in socioec-onomic and epidemiological context: systematic review of social care policy for older people. BMC Public Health, 23(1), 1272. doi:10.1186/s12889-023-15583-1
Memar Zadeh, M., & Haggerty, N. (2022). Improving long-term care services: insights from high-reliability organizations. Leadership in Health Services, 35(2), 174-189. doi:10.1108/LHS-07-2021-0064
Milella, F., Alessandra, M. E., Fernanda, S., & and Croce, D. (2021). Change and Innovation in Healthcare: Findings from Lit-erature. ClinicoEconomics and Outcomes Research, 13(null), 395-408. doi:10.2147/CEOR.S301169
Nwafor, O., Xiao, M., A., J. N., Rahul, S., & and Aron, R. (2023). Differential Impacts of Technology-Network Structures on Cost Efficiency: Knowledge Spillovers in Healthcare. Journal of Management Information Systems, 40(3), 840-882. doi:10.1080/07421222.2023.2229126
Outcault, S., Sanguinetti, A., & Nelson, L. (2022). Technology characteristics that influence adoption of residential distributed energy resources: Adapting Rogers’ framework. Energy Policy, 168, 113153. doi:10.1016/j.enpol.2022.113153
Özkaytan, Y., Schulz-Nieswandt, F., & Zank, S. (2023). Acute Health Care Provision in Rural Long-Term Care Facilities: A Scoping Review of Integrated Care Models. Journal of the American Medical Directors Association, 24(10), 1447-1457.e1441. doi:10.1016/j.jamda.2023.06.013
Panichakarn, B., Pochan, J., Shafiq, M., Saleem, I., Wang, Y., & Nazeer, S. (2024). The interplay of digital transformation, agility, environmental volatility, and innovation to spur enterprise performance: Evidence from Chinese electric vehicle firms. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100408.
Penno, E., & and Gauld, R. (2017). Change, Connectivity, and Challenge: Exploring the Role of Health Technology in Shaping Health Care for Aging Populations in Asia Pacific. Health Systems & Reform, 3(3), 224-235. doi:10.1080/23288604.2017.1340927
Renn, O., & and Benighaus, C. (2013). Perception of technological risk: insights from research and lessons for risk communi-cation and management. Journal of Risk Research, 16(3-4), 293-313. doi:10.1080/13669877.2012.729522
Salter, B., Dong, Y., & Hunter, B. M. (2022). Constructing healthcare services markets: networks, brokers and the China-England engagement. Globalization and Health, 18(1), 102. doi:10.1186/s12992-022-00892-8
Singer, B. H., & Manton, K. G. (1998). The effects of health changes on projections of health service needs for the elderly population of the United States. Proceedings of the National Academy of Sciences, 95(26), 15618-15622. doi:10.1073/pnas.95.26.15618
Sterman, J. D. J. S. d. r. (1994). Learning in and about complex systems. System dynamics review, 10(2‐3), 291-330. doi:10.1002/sdr.4260100214
Wei, Q., Yuan, B., Xu, J., He, P., Xu, H., & Meng, Q. (2023). Continuity of health care: measurement and application in two rural counties of Guangxi Province, China. BMC Health Services Research, 23(1), 917. doi:10.1186/s12913-023-09916-4
Wilson, M. G., Gauvin, F.-P., DeMaio, P., Alam, S., Drakos, A., Soueidan, S., . . . Lavis, J. N. (2022). Enhancing the use of technology in the long-term care sector in Canada: Insights from citizen panels and a national stakeholder dialogue. Healthcare Management Forum, 35(5), 310-317. doi:10.1177/08404704221108466
Wong, Y. C., & and Leung, J. (2012). Long-term Care in China: Issues and Prospects. Journal of Gerontological Social Work, 55(7), 570-586. doi:10.1080/01634372.2011.650319
Wu, H.-x., Song, Y., Yu, L.-s., & Ge, Y. (2023). Uncertainty aversion and farmers’ innovative seed adoption: Evidence from a field experiment in rural China. Journal of Integrative Agriculture, 22(6), 1928-1944. doi:10.1016/j.jia.2023.04.004
Zhang, L., Zeng, Y., Wang, L., & Fang, Y. (2020). Urban–Rural Differences in Long-Term Care Service Status and Needs Among Home-Based Elderly People in China. International Journal of Environmental Research and Public Health, 17(5). Retrieved from doi:10.3390/ijerph17051701
Zhang, Z., Wang, Z., & Qiu, Z. (2023). Unveiling the Evolution of Eldercare Facilities in Rural China: Tracing the Trajectory from Eldercare Support Pattern and Service to Facilities for the Aging Population. Healthcare, 11(18). Retrieved from doi:10.3390/healthcare11182474