Faktor yang mempengaruhi niat menggunakan teknologi Balanced Scorecard (BSC) oleh para level manajer sektor kesehatan di Indonesia
DOI:
https://doi.org/10.32504/hspj.v3i2.141Keywords:
Balanced scorecard, technology acceptance modelAbstract
The health care industry is a capital-intensive, labor-intensive, and full information, with performance information that requires high concentration and attention from the health manager. Balanced Scorecard (BSC) is an importance technological innovation as a performance measurement system that strategically and allow manager translate organizational strategies into the mission and performance indicators with reality acceptance and its own variation response among users. The aim of this study is to determine the factor of affecting hospital managers’ behavior intention in implementing the balanced scorecard. This research type was quantitative with cross sectional design. The sampling technique using purposive sampling. The samples were 60 respondents. The data collected by questionnaires analyzed with multiple linear regression test. The quantitative analysis’ results of 60 samples showed that a simultaneous influence of easy perceive of using and usefulness perceive on behavioral intention in implementing BSC (Sig = 0,000 < 0,05) and easy perceive of using have influence on perceive of usefulness (Sig = 0,000 < 0,05). While partially easy perceive of using and usefulness perceive was affected toward behavioral intention is about (Sig = 0,422 > 0,05) and (Sig = 0,001 < 0,05), on the other side, the easy perceive of using have influence toward usefulness perceive (Sig = 0,000 < 0,05). The conclution was the hospital manajer's perception of the easy of use of BSC and the use of the manajer together have a significant impact on the manajer's behavioral intention to implement the BSC. The hospital manajer's perception of easy of use of the BSC had no significant effect on the intention to implement the BSC.
References
Al-Adwan, A. S. and Berger, H. Exploring physicians’ behavioural intention toward the adoption of electronic health records: an empirical study from Jordan. International Journal of Healthcare Technology and Management; 2015; 15 (2): 89–111.
Alexandra Albertsen, O. and Lueg, R. The balanced scorecard’s missing link to compensation: A literature review and an agenda for future research. Journal of Accounting & Organizational Change; 2014; 10 (4): 431–465.
Alquraini, H., Alhashem, A. M., Shah, M. A., and Chowdhury, R. I. Factors influencing nurses’ attitudes towards the use of computerized health information systems in Kuwaiti hospitals. Journal of Advanced Nursing; 2007; 57 (4): 375–381.
An, J.-Y., Hayman, L. L., Panniers, T., and Carty, B. Theory development in nursing and healthcare informatics: a model explaining and predicting information and communication technology acceptance by healthcare consumers. Advances in nursing science; 2007; 30 (3): E37–E49.
Antonsen, Y. The downside of the Balanced Scorecard: A case study from Norway. Scandinavian Journal of Management; 2014; 30 (1): 40–50.
Awadallah, E. A. and Allam, A. A critique of the balanced scorecard as a performance measurement tool. International Journal of Business and Social Science; 2015; 6 (7): 91–99.
Banker, R. D., Chang, H., and Pizzini, M.. The judgmental effects of strategy maps in balanced scorecard performance evaluations. International Journal of Accounting Information Systems; 2011; 12 (4): 259–279.
Basu, S., Andrews, J., Kishore, S., Panjabi, R., and Stuckler, D. Comparative Performance of Private and Public Healthcare Systems in Low- and Middle-Income Countries: A Systematic Review. PLoS Medicine; 2012; 9 (6): e1001244.
Basuony, M. A. K. The Balanced Scorecard in Large Firms and SMEs: A Critique of the Nature, Value and Application. Accounting and Finance Research; 2014; 3 (2): 14-22.
Behrouzi, F., Shaharoun, A. M., and Ma’aram, A. Applications of the balanced scorecard for strategic management and performance measurement in the health sector. Australian Health Review; 2014; 38 (2): 208-217.
Beyene, T. J., Mindaye, B., Leta, S., Cernicchiaro, N., and Revie, C. W. Understanding Factors Influencing Dog Owners’ Intention to Vaccinate Against Rabies Evaluated Using Health Belief Model Constructs. Frontiers in Veterinary Science; 2018; 5: 1-9.
Boland, M. R., Rusanov, A., So, Y., Lopez-Jimenez, C., Busacca, L., Steinman, R. C., Bakken, S., Bigger, J. T., and Weng, C. From expert-derived user needs to user-perceived ease of use and usefulness: A two-phase mixed-methods evaluation framework. Journal of Biomedical Informatics; 2014; 52: 141–150.
Boonstra, A. and Broekhuis, M., 2010. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC health services research; 2010; 10 (1): 231.
Brown, K. and Osborne, S. P. Managing change and innovation in public service organizations [online]. Routledge; 2012.
Buckingham, M. and Goodall, A. Reinventing performance management. Harvard Business Review; 2015; 93 (4): 40–50.
Bullock, J. B., Stritch, J. M., and Rainey, H. G. International Comparison of Public and Private Employees’ Work Motives, Attitudes, and Perceived Rewards. Public Administration Review; 2015; 75 (3): 479–489.
Burunova, O., Gushko, S., and Kulishov, V., n.d. Latgale National Economy Research. Journal of Social Sciences; 2018; (10):
Buttigieg, S. C., Pace, A., and Rathert, C. Hospital performance dashboards: a literature review. Journal of Health Organization and Management; 2017: 31 (3): 385–406.
Buurman, M., Delfgaauw, J., Dur, R., and Van den Bossche, S. Public sector employees: Risk averse and altruistic? Journal of Economic Behavior & Organization; 2012; 83 (3): 279–291.
Capelo, C., Lopes, A. I., and Mata, A. Teaching the Balanced Scorecard through Simulation. International Association for Development of the Information Society; 2012.
Oktavianto, E., & Mubasyiroh, A. Pelatihan Bermain pada Pengasuh dapat Meningkatkan Pengetahuan, Sikap, dan Keterampilan Pengasuhan. Health Sciences and Pharmacy Journal; 2017; 1(1): 20-29.
