Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person

Intention to return to work is based on the determinations of employees to go back to work after prolongs sickness absence due to work injury, accident or illnesses. The aims of this study are i) to examine the relationship between attitude, subjective norms and perceived behavior control with the i...

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Main Author: Annis Fadilla, Mohd Sukery
Format: Thesis
Language:eng
eng
Published: 2012
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Online Access:https://etd.uum.edu.my/3234/1/ANNIS_FADILLA_MOHD_SUKERY.pdf
https://etd.uum.edu.my/3234/4/ANNIS_FADILLA_MOHD_SUKERY.pdf
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id my-uum-etd.3234
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Tan, Fee Yean
topic HD4801-8943 Labor
Work
Working Class
spellingShingle HD4801-8943 Labor
Work
Working Class
Annis Fadilla, Mohd Sukery
Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
description Intention to return to work is based on the determinations of employees to go back to work after prolongs sickness absence due to work injury, accident or illnesses. The aims of this study are i) to examine the relationship between attitude, subjective norms and perceived behavior control with the intention to return to work and ii) to identify the most significant factor of behavioral determinants (attitude, subjective norms and perceived behavioral control) that influences the intention to return to work. This cross-sectional study was done among 160 SOCSO's Insured Persons who have been attended by 35 case managers for participation in Return To Work Program in all over Malaysia. The sampling technique used in this study was proportionate stratified random sampling. A questionnaire was distributed to the respondent by the case managers. Descriptive analysis was used to determine the level of attitude, subjective norms, perceived behavior control and the intention to return to work. Regression analysis was used to identify which behavioral determinant would significantly influence the intention to return to work. The result showed that attitude and subjective norms have significantly influence the respondents' intention in performing return to work. Attitude has been found as the strongest factor in influencing the intention to return to work. The findings have contributed to add the body of knowledge for the policy makers and future research to improve the case management in Malaysia
format Thesis
qualification_name masters
qualification_level Master's degree
author Annis Fadilla, Mohd Sukery
author_facet Annis Fadilla, Mohd Sukery
author_sort Annis Fadilla, Mohd Sukery
title Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
title_short Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
title_full Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
title_fullStr Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
title_full_unstemmed Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person
title_sort attitude, subjective norms and perceived behavior control in predicting return to work among socso's insured person
granting_institution Universiti Utara Malaysia
granting_department Othman Yeop Abdullah Graduate School of Business
publishDate 2012
url https://etd.uum.edu.my/3234/1/ANNIS_FADILLA_MOHD_SUKERY.pdf
https://etd.uum.edu.my/3234/4/ANNIS_FADILLA_MOHD_SUKERY.pdf
_version_ 1747827527067369472
spelling my-uum-etd.32342022-04-10T06:25:40Z Attitude, Subjective Norms and Perceived Behavior Control in Predicting Return to Work Among SOCSO'S Insured Person 2012-04-18 Annis Fadilla, Mohd Sukery Tan, Fee Yean Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business HD4801-8943 Labor. Work. Working Class Intention to return to work is based on the determinations of employees to go back to work after prolongs sickness absence due to work injury, accident or illnesses. The aims of this study are i) to examine the relationship between attitude, subjective norms and perceived behavior control with the intention to return to work and ii) to identify the most significant factor of behavioral determinants (attitude, subjective norms and perceived behavioral control) that influences the intention to return to work. This cross-sectional study was done among 160 SOCSO's Insured Persons who have been attended by 35 case managers for participation in Return To Work Program in all over Malaysia. The sampling technique used in this study was proportionate stratified random sampling. A questionnaire was distributed to the respondent by the case managers. Descriptive analysis was used to determine the level of attitude, subjective norms, perceived behavior control and the intention to return to work. Regression analysis was used to identify which behavioral determinant would significantly influence the intention to return to work. The result showed that attitude and subjective norms have significantly influence the respondents' intention in performing return to work. Attitude has been found as the strongest factor in influencing the intention to return to work. The findings have contributed to add the body of knowledge for the policy makers and future research to improve the case management in Malaysia 2012-04 Thesis https://etd.uum.edu.my/3234/ https://etd.uum.edu.my/3234/1/ANNIS_FADILLA_MOHD_SUKERY.pdf text eng public https://etd.uum.edu.my/3234/4/ANNIS_FADILLA_MOHD_SUKERY.pdf text eng public masters masters Universiti Utara Malaysia Ajzen,I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Deczsion Processes, 5, 179-211. Ajzen,I. (2002). Perceived behavioral control, self-efficacy. locus of control and the theory of planned behavior. Journal of Applied Social Psychology, 32, 665-683. Ajzen,I., & Driver,B.L. (1992). Application of theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3), 207. Ajzen,I., & Fishbein,M. (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice-Hall. Akabas,S.H., Gates,L.B., & Galvin,D.E. (1992). Disabiilty Management: A Complete System To Reduce Cost, Increase Productivity, Meet Employee Needs and Ensure Legal Compliance. New York: AMACOM. Armitage,C.J., & Comer,M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of social Psychology, 40,471-479. Arnold, J., Loan-Clarke, J., Coombs, C., Wilkinson, A., Park, J., & Preston, D. (2006). How well can the theory of planned behavior account for occupational intentions? Journal of Vocational Behavior, 69,374-390. Bandura, A. (1977). Social Learning Theory. New York: General Learning Press. Beck, L., & Ajzen, I. (1991). Predicting dishonest actions using the theory of planned behavior. Journal of Research in Personality, 25, 285-301. Bosscher,R.J., & Smit,J.H. (1998). Confirmatory Factor Analysis of the General Self-Efficacy Scale. Behavior Research and Therapy, 36, 339-343. Brouwer, S., Krol, B., Reneman, M.F., Bultmann, U., & Franche, R. (2009). Behavioral Determinants as Predictors of Return to Work After Long-Term Sickness Absence: An Application of the Theory of Planned Behavior. Journal of Occupational Rehabilitation, 19, 166-174. Chen, Y.J., & Tang, T.L. (2006). Attitude toward and propensity to engage in unethical behavior: Measurement invariance across major university students. Journal of Business Ethics, 69, 77-93. Committee on Communication for Behavior Change in the 21st Century. (2002). Speaking of Health: Assessing Health Communication Strategies for Diverse Populations.Washington DC : National Academies Press. De Rijk, A., Janssen, N., V., L. B., Alexanderson, K., & Nijhuis, F. (2009).A behavioral approach to RTW after sickness absence: The development of instruments for the assessment of motivational determinants, motivation and key actors' attitudes. Work, 33, 273-285. Delafrooz,N., Paim,L.H., & Khatibi,A. (2011). A research modeling to understand online shopping intention. Australian Journal of Basic and Applied Sciences, 5(5), 70-77. Du Bois,M., Szpalski,M., & Donceel,P. (2009). Patients at risk for long-term sick leave because of low back pain. The Spine Journal, 9, 350-359. Fayolle,A. (2007). Enterpreneurship and new value creation: The dynamic of the enterpreneural process. England: Cambridge University Press. Florida Partnership for Safety and Health. (2012). Florida Partnership for Safely and Health Workplace Safety Manual. Retrieved January 28,2012,from Public Entity Risk Institute: https://www.riskinstitute.org/peri/ component/option,com_bookmarks/Itemid,44/catid, 22/navstart,O/task,detail/mode,O/task,detail/ mode,O/id,627/search,*/ Franche,R., & Krause,N. (2002).Readiness for return to work following injury or illness: Conceptualizing the inter-personal impact of health care, workplace and insurance factors. Journal of Occupational Rehabilitation, 12(4), 233-256. Franche, R., Corbiere, M., Lee, H., Breslin, F.C., & Hepburn, C.G. (2007). The Readiness for Return-To-Work (RRTW) scale: Development and validation of self-report staging scale in lost-time claimants with musculoskeletal disorders. Journal of Occupational Rehabilitation, 17, 450-472. Francis, J.J., Eccles, M.P., Johnston, M., Walker, A., Grimshaw, J., Foy,R., et al. (2004). Constructing questionnaires based on the theory planned behaviour : A manual for health researchers. Newcastle: Centre for Health Services Research, University of Newcastle. George, D., & Mallery, P. (2003).SPSS for Windows step by step: A simple guide and reference 11.0 update 4th Edition. Boston: Allyn & Bacon. Giezen, A.M., Bouter, L.M., & Nijhuis ,F.J. (2000). Prediction of return to work of low back pain patients sicklisted for 3-4 months. Pain, 87, 285-294. Hayclen, J. (2009). Introduction to Health Behavior Theory. Massachusetts: Jones And Bartlett Publishers. Jalalian, M., Latiff, L., Hassan, S.T., Hanachi, P., & Othman, M. (2010). Development of a questionnaire for asessing factors predicting blood donation among university students : A pilot study. The Southeast Asian Journal of Tropical Medicine and Public Health, 4(3), 660-666. Krause, N., Frank, J.W., Dasinger, K., Sullivan, T.J.,& Sinclair, S.J. (2001). Determinants of Duration of Disability and Return-To-Work After Work-Related Injury and Illness: Challenges for Future Research. American Journal of Industrial Medicine, 40, 464-484. Krejcie,R.V., & Morgan,D.W. (1970).Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610. Labriola, M., Lund, T., Christensen, K.B., Albertsen, K., Bultmann, U., Jensen, J.N., et al. (2007). Does Self-Efficacy Predict Return-To-Work After Sickness Absence? A Prospective Study Among 930 Employees With Sickness Absence For Three Weeks or More. Work, 29, 233-238. Leedy, P.D., & Ormrod, J.E. (2005). Practical research: Planning and design. New Jersey: Prentice Hall. Lin, C.S., & Chen, C. (2010). Application of Theory of Planned Behavior on the Study of Workplace Dishonesty. International Conference on Economics, Business and Management (pp.66-69). Manila: IAC A IT Press. Li-Tsang, C.W., Chan, H.H., Lam, C.S., Lo-Hui, K.Y., & Chan, C.C. (2007). Psychosocial aspects of injured workers' returning to work (RTW) in Hong Kong. Journal of Occupational Rehabilitation, 17, 279-288. MacEachen, E., Kosny, A., Ferrier, S., & Chambers, L. (2010). The "toxic dose" of system problems: Why some injured workers as expected. Journal of Occupational Rehabilitation, 20, 349-366. Martin, R.J., Nelson, S., LaPlante, D., Usdan, S., Umstattd, M.R., Perko, M., et al. (2010). Using the Theory of Planned Behavior to Predict Gambling Behavior. Psychology of Addictive Behaviors, 24(1), 89-97. Moore, J.N., Raymond, M.A., Mittelstaedt, J.D., & Tanner Jr, J.F. (2002).Age and consumer socialization agent influences on adolescents' sexual knowledge, attitude and behavor: Implications for social marketing initiative and public policy. Journal of Public Policy & Marketing, 21, 37-52. Organisation for Economic Co-operation and Development. (2009). Sickness, Disability and Work: Keeping On Track in the Economic Downturn. High-Level Forum (p.9). Stockholm: Directorate for Employment, Labour and Social Affairs.. Ramayah, T., Yusof, Y.M., Jamaluddin, N., & Ibrahim, A. (2009). Applying the Theory of Planned Behavior (TPB) to Predict Internet Tax Filing Intentions. International Journal of Management, 26(2), 272-284. Sekaran,U. (1992). Research Method For Business: A Skill-Building Approach. Canada: John Wiley & Sons, Inc. Sherer, M., Maddux, J.E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R.W. (1982). The Self-Efficacy Scale: Construction and Validation. Psychological Reports, 51, 663-671. Smith, J.R., Teny, D.J., Manstead, A.S., Louis, W.R., Kotteman, D., & Wolfs, J. (2008). The attitude-behavior relationship in consumer conduct: The role of norms past behavior and self identity.The Journal of Social Psychology, 148(3), 311-333. Social Security Organization. (2010). Laporan Tahunan 2010. Kuala Lumpur: Social Security Organization. Social Security Organization. (2012). Return To Work. Retrieved March 31, 2012, from Portal Rasmi Pertubuhan Keselamatan Sosial: http://www.perkeso.gov.my/ms/return-to-work.html Southey,G. (2011). The Theories of Reasoned Action and Planned Behaviour Applied to Business Decisions: A Selective Annotated Bibliography.Journal of New Business Ideas & Trends, 9(1), 43-50. Unit of Statistic, Return To Work Department, Social Security Organization. (2012). Statistik pencapaian Program Kembali Bekerja PERKESO bagi tempoh 2007-2011. Kuala Lumpur: Social Security Organization. Van Hooft,E.A., & De Jong,M. (2009). Predicting job seeking for temporary employment using the theory of planned behaviour: The moderating role of individualism and collectivism.Journal of Occupational and Organizational Psychology, 82. 295-316. Van Hooft,E.A., & Jong,M.D. (2009). Predicting job seeking for temporary employment using the theory of planned behaviour: The moderating role of individualism and collectivism.Journal of Occupational and Organizational Psychology, 82, 295-316. Van Hooft, E.A., Born, M.P., Taris, T.W., Flier, H.V., & Blonk, R.B. (2004). Predictors of job search behavior among employed and unemployed people. Personnel Psychology, 57, 25-59. Van Teijlingen, E., Rennie, A., Hundley, V., & Graham, W. (2001). The importance of conducting and reporting pilot studies: the example of the Scottish Births Survey. Journal of Advanced Nursing, 34(4): 289-295. Vermeulen, S.J., Anema, J.R., Schellart, A.J., Knol, D.L.,W.,M., & Beek, A.J. (2011). A Participatory Return To Work Intervention for Temporary Agency Workers and Unemployed Workers Sick-Listed Due to Musculoskeletal Disorders: Results of a Randomized Control Trial. Journal of Occupational Rehabilitation, 21, 313-324. Walker, G.J., Courneya, K.S., & Deng, J. (2006). Ethnicity, gender and the theory of planned behavior: the case of playing the lottery. Journal of leisure Research, 38(2), 224. Warr, P., Cook,J., & Wall, T. (1979). Scales for The Measurement of Some Work Attitudes and Aspects of Psychological Well-being.Journal of Occupational Psychology, 52, 129-148. Westmorland, M.G., Williams, R.M., Amick, B.C., Shannon, H., & Rasheed, F. (2005). Disability Management Practices in Ontario Workplaces: Employees' Perception. Disability and Rehabilitation, 27(14), 825-835. Wilson, B.A. (2008). Predicting intended unethical behavior of business students. Journal of Education for Business, 187-195. Workplace Health, Safety and Compensation Commision. (n.d.). Employability Partnership. Retrieved November 28, 2011,from http://www.employabilitypartnership.ca~Guide to Establis a Disability Management Program.pdf Zimet, G.D., Dahlem, N.W., Zimet, S.G., & Farley, G.K. (1988). The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment, 52(1). 30-41.