Peran Identitas Agama Terhadap Niat Menggunakan Kosmetik Halal : Perluasan Theory of Planned Behavior
DOI:
https://doi.org/10.12928/ijiefb.v2i2.921Keywords:
Identitas agama, kosmetik halal, TPBAbstract
Market share of halal cosmetics in Indonesia increased all of the time. It was not surprising, as a country with the biggest Moslem population in the world, the need of halal cosmetics is a must. Had it trued that the consumption of halal cosmetics driven by religion (Islam) as a social identity or by other factors. This study tried to find the role of religion as consumer’s social identity with extended theory planned behavior. This study used purposived sampling technics among 100 collage students in Yogyakarta and analyzed with partial Least Square (PLS)s-SEM used smartPLS software. This research found that religion identity was not influenced toward intention to use cosmetics halal. The other variables, attitude, subjective norm and perceived behavior control have a positive and significant influenced toward intention to use halal cosmetics.References
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37. Khalek AA, Hayaati S, Ismail S. Why Are We Eating Halal – Using the Theory of Planned Behavior in Predicting Halal Food Consumption among Generation Y in Malaysia. 2015;5(7).
38. Koeder MJ, Mohammed U, Sugai P. Study of consumer attitudes towards connected reader devices in Japan based on the decomposed Theory of Planned Behavior. Econ Manag Ser. 2011;(May).
39. Lin HF. Predicting consumer intentions to shop online: An empirical test of competing theories. Electron Commer Res Appl. 2007;6(4):433–42.
40. Armitage CJ, Christian J. From Attitudes to Behaviour: Basic and Applied Research on the Theory of Planned Behaviour. Curr Psychol [Internet]. 2003;22(3):187–95. Available from: http://www.springerlink.com/index/T3Y0T9Q7E3HNJN4H.pdf%5Cnpapers2://publication/uuid/C8F700D4-836B-454D-962B-2EFBF8E87C9D
41. Ajzen I. Attitudes, personality, and behavior. McGraw-Hill Education (UK); 2005.
42. Alleyne P, Broome T. Using the theory of planned behaviour and risk propensity to measure investment intentions among future investors. J East Caribb Stud [Internet]. 2011;36(1):1–20. Available from: http://www.econbiz.de/Record/using-the-theory-of-planned-behaviour-and-risk-propensity-to-measure-investment-intentions-among-future-investors-alleyne-philmore/10009308883
43. Beiginia AR, Besheli AS, Soluklu ME, Ahmadi M. Assessing the mobile banking adoption based on the decomposed theory of planned behaviour. Eur J Econ Financ Adm Sci. 2011;28(1):7–15.
44. Bamberg S, Ajzen I, Schmidt P. Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action. Basic Appl Soc Psych [Internet]. 2003;25(May):175–87. Available from: http://www.tandfonline.com/doi/abs/10.1207/S15324834BASP2503_01%5Cnhttp://www.informaworld.com/openurl?genre=article&doi=10.1207/S15324834BASP2503_01&magic=crossref%7C%7CD404A21C5BB053405B1A640AFFD44AE3
45. Keisidou E, Sarigiannidis L, Maditinos D. Consumer characteristics and their effect on accepting online shopping, in the context of different product types. Int J Bus Sci Appl Manag. 2011;6(2):31–51.
46. Alwin DF, Felson JL, Walker ET, Tufiş PA. Measuring religious identities in surveys. Public Opin Q. 2006;70(4):530–64.
47. Hair JFJ, Hult GTM, Ringle C, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) [Internet]. Vol. 46, Long Range Planning. 2014. 328 p. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0024630113000034
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50. Clifford G. Abangan, Santri, Priyayi dalam masyarakat jawa. Pustaka Jakarta. 1983;
51. Mohamed M. Mostafa author. Profiling Kuwaiti female apparel consumers : Self-identity, social interactions, and prestige consumption. Int J Sociol Soc Policy VO - 39 [Internet]. 2019;(1/2):98. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=edsemr&AN=edsemr.10.1108.IJSSP.06.2018.0109&site=eds-live
52. Ahmad AN, Rahman AA, Rahman SA. Assessing Knowledge and Religiosity on Consumer Behavior towards Halal Food and Cosmetic Products. 2015;5(1):10–4.
53. Echchabi a, Aziz H. the Relationship Between Religiosity and Customers’Adoption of Islamic Banking Services in Morocco. Contemp Bus Stud [Internet]. 2012;89–95. Available from: http://www.academia.edu/download/30870898/IJCBS_Vol_3_No_5_May_2012_ISSN_2156-7506.pdf#page=25
54. Rahab, Wahyuni P. Predicting Knowledge Sharing Intention Based on Theory of Reasoned Action Framework : An Empirical Study on Higher Education Institution. Am Int J Contemp Res. 2013;3(1):138–47.
55. Sirgy MJ. Self-concept in consumer behavior: A critical review. J Consum Res. 1982;9(3):287–300.
56. Thomson Reuters. State of The Global Islamic Economic : An Inclusive Ethical Economy [Internet]. 2018. Available from: https://www.salaamgateway.com/en/story/Report_State_of_the_Global_Islamic_Economy_201819-SALAAM06092018061914/
2. Ahmad AN, Rahman AA, Ab Rahman S. Assessing knowledge and religiosity on consumer behavior towards halal food and cosmetic products. Int J Soc Sci Humanit. 2015;5(1):10.
3. Muhamad N, Mizerski D. The constructs mediating religions’ influence on buyers and consumers. J Islam Mark. 2010;1(2):124–35.
4. Berger IE. The influence of religion on philanthropy in Canada. Voluntas. 2006;17(2):110–27.
5. Khraim HS, Khraim AS, Al-Kaidah FM, Al-Qurashi DR. Jordanian Consumer’s Evaluation of Retail Store Attributes: The Influence of Consumer Religiosity. Int J Mark Stud [Internet]. 2011;3(4):105. Available from: http://www.ccsenet.org/journal/index.php/ijms/article/view/10593%5Cnhttp://dx.doi.org/10.5539/ijms.v3n4p105%5CnAll Papers/K/Khraim et al. 2011 - Jordanian Consumer?s Evaluation of Retail Store Attributes - The Influence of Consumer Religiosity.pdf
6. Mansori S. Impact of religion affiliation and religiosity on consumer innovativeness; the evidence of Malaysia. World Appl Sci J. 2012;17(3):301–7.
7. Nugroho AP, Hidayat A, Kusuma H. The influence of religiosity and self-efficacy on the saving behavior of the Іslamic banks. Banks Bank Syst [Internet]. 2017;12(3):35–47. Available from: https://businessperspectives.org/journals/banks-and-bank-systems/issue-255/the-influence-of-religiosity-and-self-efficacy-on-the-saving-behavior-of-the-slamic-banks
8. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.
9. Ajzen I, Driver BL. Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leis Sci. 1991;13(3):185–204.
10. Ajzen I. The theory of planned behavior. Orgnizational Behav Hum Decis Process. 1991;50:179–211.
11. Taylor S, Todd PA. Understanding information technology usage: A test of competing models. Vol. 6, Information Systems Research. 1995. p. 144–76.
12. Lemmens JS, Valkenburg PM, Peter J. The Effects of Pathological Gaming on Aggressive Behavior. J Youth Adolesc. 2011;40(1):38–47.
13. Kaiser FG, Gutscher H. The proposition of a general version of the theory of planned behavior: predicting ecological behavior1. J Appl Soc Psychol. 2003;33(3):586–603.
14. Ajzen I, Fishbein M. Attitudes and the Attitude-Behavior Relation: Reasoned and Automatic Processes. Eur Rev Soc Psychol [Internet]. 2000 Jan 1;11(1):1–33. Available from: http://dx.doi.org/10.1080/14792779943000116
15. Vignoles VL, Regalia C, Manzi C, Golledge J, Scabini E. Beyond self-esteem: influence of multiple motives on identity construction. J Pers Soc Psychol. 2006;90(2):308.
16. Deaux K, Reid A, Mizrahi K, Ethier KA. Parameters of social identity. J Pers Soc Psychol. 1995;68(2):280.
17. Coşgel MM, Minkler L. Religious identity and consumption. Rev Soc Econ. 2004;62(3):339–50.
18. Delener N. Religious contrasts in consumer decision behaviour patterns: their dimensions and marketing implications. Eur J Mark. 1994;28(5):36–53.
19. Rackley J. Marketing Analytics Roadmap: Methods, Metrics, and Tools. 2015;168. Available from: https://books.google.com/books?id=11YnCgAAQBAJ&pgis=1
20. Fam KS, Waller DS, Erdogan BZ. The influence of religion on attitudes towards the advertising of controversial products. Eur J Mark. 2004;38(5/6):537–55.
21. Muhamad Jantan, Abdul Razak Kamarudin. Store Image and Store Choice Decision: An Investigation of Consumers’ Shopping Behaviour in Malaysia [Internet]. Vol. 4, Asian Academy of Management Journal. 1999. p. 69–82. Available from: http://web.usm.my/aamj/4.2.1999/4-2-5.pdf
22. Soesilowati ES. Business opportunities for halal products in the global market: Muslim consumer behaviour and halal food consumption. J Indones Soc Sci Humanit. 2011;3:151–60.
23. Azam A, Fu Q, Abdullah I, Abbas SA. Impact of 5-D of Religiosity on Diffusion Rate of Innovation. Int J Bus Soc Sci. 2011;2(17):177–85.
24. Bri SA. FR A NZ FLÖGEL E thnic versus R eligious G rocery Shopping An I nves ti ga ti on into the Shopping place selec ti on of „ South Asian Bri ti sh Muslims “. 2011;(1):13–23.
25. Lau T-C, Choe K-L, Tan L-P. Consumers’ Ethical Beliefs: Ascertaining the Roles of Money and Religiosity. Int Conf Soc Econ Dev. 2011;10:162–6.
26. Benjamin DJ, Choi JJ, Fisher GW. Religious Identity and Economic Behavior. NBER. 2010;#15925.
27. Ajzen I. Nature and Operation of Attitudes. Annu Rev Psychol [Internet]. 2001;52(1):27. Available from: http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=4445595&site=ehost-live
28. Ajzen I, Fishbein M. Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychol Bull [Internet]. 1977;84(5):888–918. Available from: http://www.scopus.com/inward/record.url?eid=2-s2.0-33646391331&partnerID=tZOtx3y1
29. Shih Y, Fang K. The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Res. 2004;14(3):213–23.
30. Xiao J, Wu J. Applying the theory of planned behavior to retain credit counseling clients. Proc Assoc Financ Couns Plan Educ [Internet]. 2006;91–100. Available from: http://tcainstitute.org/working_papers/wp65xiaowu.pdf
31. Amin H, Ramayah T. SMS banking: Explaining the effects of attitude, social norms and perceived security and privacy. Electron J Inf Syst Dev Ctries. 2010;41.
32. Pookulangara S, Natesan P. Examining Consumers’ channel-migration intention utilizing theory of planned behavior: a multigroup analysis. Int J Electron Commer Stud [Internet]. 2010;1(2):97–116. Available from: http://www.academic-journals.org/ojs2/index.php/ijecs/article/viewFile/919/58
33. Paul J, Modi A, Patel J. Journal of Retailing and Consumer Services Predicting green product consumption using theory of planned behavior and reasoned action. J Retail Consum Serv [Internet]. 2016;29:123–34. Available from: http://dx.doi.org/10.1016/j.jretconser.2015.11.006
34. Azmi Abd Aziz MA and ZI. the Perception To Choose Halal Cosmetics Products: an Empirical Study for Malaysian Consumer. 2007;1–10.
35. Mohamad R, Building A, Ismail NA. Journal of Internet Banking and Commerce. J Internet Bank Commer [Internet]. 2010;15(1):1–11. Available from: http://eprints.utm.my/8136/
36. Maditinos D, Tsairidis C, Grigoriadis C. Internet Banking user acceptance: Evidence from Greece and Bulgaria. 5 th HSSS Conf [Internet]. 2009;(June):24–7. Available from: http://abd.teikav.edu.gr/articles/Maditinos_Tsairidis_Grigoriadis.pdf
37. Khalek AA, Hayaati S, Ismail S. Why Are We Eating Halal – Using the Theory of Planned Behavior in Predicting Halal Food Consumption among Generation Y in Malaysia. 2015;5(7).
38. Koeder MJ, Mohammed U, Sugai P. Study of consumer attitudes towards connected reader devices in Japan based on the decomposed Theory of Planned Behavior. Econ Manag Ser. 2011;(May).
39. Lin HF. Predicting consumer intentions to shop online: An empirical test of competing theories. Electron Commer Res Appl. 2007;6(4):433–42.
40. Armitage CJ, Christian J. From Attitudes to Behaviour: Basic and Applied Research on the Theory of Planned Behaviour. Curr Psychol [Internet]. 2003;22(3):187–95. Available from: http://www.springerlink.com/index/T3Y0T9Q7E3HNJN4H.pdf%5Cnpapers2://publication/uuid/C8F700D4-836B-454D-962B-2EFBF8E87C9D
41. Ajzen I. Attitudes, personality, and behavior. McGraw-Hill Education (UK); 2005.
42. Alleyne P, Broome T. Using the theory of planned behaviour and risk propensity to measure investment intentions among future investors. J East Caribb Stud [Internet]. 2011;36(1):1–20. Available from: http://www.econbiz.de/Record/using-the-theory-of-planned-behaviour-and-risk-propensity-to-measure-investment-intentions-among-future-investors-alleyne-philmore/10009308883
43. Beiginia AR, Besheli AS, Soluklu ME, Ahmadi M. Assessing the mobile banking adoption based on the decomposed theory of planned behaviour. Eur J Econ Financ Adm Sci. 2011;28(1):7–15.
44. Bamberg S, Ajzen I, Schmidt P. Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action. Basic Appl Soc Psych [Internet]. 2003;25(May):175–87. Available from: http://www.tandfonline.com/doi/abs/10.1207/S15324834BASP2503_01%5Cnhttp://www.informaworld.com/openurl?genre=article&doi=10.1207/S15324834BASP2503_01&magic=crossref%7C%7CD404A21C5BB053405B1A640AFFD44AE3
45. Keisidou E, Sarigiannidis L, Maditinos D. Consumer characteristics and their effect on accepting online shopping, in the context of different product types. Int J Bus Sci Appl Manag. 2011;6(2):31–51.
46. Alwin DF, Felson JL, Walker ET, Tufiş PA. Measuring religious identities in surveys. Public Opin Q. 2006;70(4):530–64.
47. Hair JFJ, Hult GTM, Ringle C, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) [Internet]. Vol. 46, Long Range Planning. 2014. 328 p. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0024630113000034
48. Haenlein M, Kaplan AM. A Beginner’s Guide to Partial Least Squares Analysis. Underst Stat. 2004;3(4):283–97.
49. Vinzi VE, Chin WW, Henseler J. Handbook of Partial Least Squares: Concepts, Methods and Applications [Internet]. Handbook of Partial Least Squares. 2010. 850 p. Available from: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Handbook+of+partial+least+squares#1
50. Clifford G. Abangan, Santri, Priyayi dalam masyarakat jawa. Pustaka Jakarta. 1983;
51. Mohamed M. Mostafa author. Profiling Kuwaiti female apparel consumers : Self-identity, social interactions, and prestige consumption. Int J Sociol Soc Policy VO - 39 [Internet]. 2019;(1/2):98. Available from: https://search.ebscohost.com/login.aspx?direct=true&db=edsemr&AN=edsemr.10.1108.IJSSP.06.2018.0109&site=eds-live
52. Ahmad AN, Rahman AA, Rahman SA. Assessing Knowledge and Religiosity on Consumer Behavior towards Halal Food and Cosmetic Products. 2015;5(1):10–4.
53. Echchabi a, Aziz H. the Relationship Between Religiosity and Customers’Adoption of Islamic Banking Services in Morocco. Contemp Bus Stud [Internet]. 2012;89–95. Available from: http://www.academia.edu/download/30870898/IJCBS_Vol_3_No_5_May_2012_ISSN_2156-7506.pdf#page=25
54. Rahab, Wahyuni P. Predicting Knowledge Sharing Intention Based on Theory of Reasoned Action Framework : An Empirical Study on Higher Education Institution. Am Int J Contemp Res. 2013;3(1):138–47.
55. Sirgy MJ. Self-concept in consumer behavior: A critical review. J Consum Res. 1982;9(3):287–300.
56. Thomson Reuters. State of The Global Islamic Economic : An Inclusive Ethical Economy [Internet]. 2018. Available from: https://www.salaamgateway.com/en/story/Report_State_of_the_Global_Islamic_Economy_201819-SALAAM06092018061914/
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