Factors Influencing Online Buying Intention among Royal Malaysian Police (RMP) Officers
Keywords:
Online purchase, attitude, perceived usefulness, perceived ease of use, subjective norms, perceived behavioral control
Abstract
Online buying has become a norm in Malaysia after the COVID-19 pandemic. It is one of the measures to cope with the rapid spread of the virus. Royal Malaysian Police (RMP) staff is not left behind in following the current trend. The present study is intended to determine the factors that influence them to engage in online buying although they are very busy ensuring public safety. Data was collected using online surveys distributed conveniently to the staff. After the lapse of the allocated data collection period, 150 responses were received and analyzed. Out of five factors that have been selected as the independent variables, only two are significant in influencing online buying intention among the RMP staff: attitude and perceived usefulness. Perceived ease of use, subjective norms, and perceived behavioral control did not significantly influence the online buying intention of RMP officers. The findings show that only those with the right attitude towards online buying and those who find online buying beneficial will pursue online purchases.
Downloads
Download data is not yet available.
References
Abdullah, D., Kamal, S. B. M., Azmi, A., Lahap, J., Bahari, K. A., Din, N. & Pinang, C. P. (2019). Perceived website interactivity, perceived usefulness and online hotel booking intention: a structural model. Malaysian Journal of Consumer and Family Economics, 21(1), 45-57.
Abou Ali, A., Abbass, A. & Farid, N. (2020). Factors influencing customers’ buying intention in social commerce. International Review of Management and Marketing, 10(5), 63.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I. (2002). Perceived behavioral control, self?efficacy, locus of control, and the theory of planned behavior 1. Journal of Applied Social Psychology, 32(4), 665-683.
Ajzen, I. & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888.
Al Rawashdeh, A. Z., Mohammed, E. Y., Al Arab, A. R., Alara, M. & Al-Rawashdeh, B. (2021). Advantages and disadvantages of using e-learning in university education: Analyzing students’ perspectives. Electronic Journal of E-learning, 19(3), 107-117.
Al-Azzam, A. F. & Al-Mizeed, K. (2021). The effect of digital marketing on purchasing decisions: A case study in Jordan. The Journal of Asian Finance, Economics and Business, 8(5), 455-463.
Albarracin, D., Johnson, B. T., Fishbein, M. & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological Bulletin, 127(1), 142.
Arghashi, V. & Yuksel, C. A. (2022). Interactivity, inspiration, and perceived usefulness! How retailers’ AR apps improve consumer engagement through flow. Journal of Retailing and Consumer Services, 64, 102756.
Athapaththu, J. C. & Kulathunga, K. M. S. D. (2018). Factors affecting online purchase intention (OPI): A study of Sri Lankan online customers. International Journal of Scientific and Technology Research, 7(9), 120–128.
Bandura, A. & Hall, P. (2018). Albert Bandura and social learning theory. Learning Theories for Early Years Practice, 63-65.
Bimaruci, H., Hudaya, A. & Ali, H. (2020). Model of consumer trust on travel agent online: analysis of perceived usefulness and security on re-buying interests (case study tiket. com). Dinasti International Journal of Economics, Finance & Accounting, 1(1), 110-124.
Bougie, R. & Sekaran, U. (2019). Research methods for business: A skill building approach. John Wiley & Sons.
Cheung, M. F. Y. & To, W. M. (2017). The influence of the propensity to trust on mobile users’ attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102–111. https://doi.org/10.1016/j.chb.2017.07.011
Chigbu, U. E. (2019). Visually hypothesizing in scientific paper writing: Confirming and refuting qualitative research hypotheses using diagrams. Publications, 7(1), 22.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Davis, F. D. (1986). A Technology Acceptance Model for Empirical Testing New end-user information system: Theory and Results. Massachusetts Institute of Technology.
eMarketer (2015). US M-Commerce 2015: eMarketer's Forecast and Trends. http://www.emarketer.com/corporate/coverage#/results/1282.
Fan, X., Chao, D., Zhang, Z., Wang, D., Li, X. & Tian, F. (2021). Utilization of self-diagnosis health chatbots in real-world settings: A case study. Journal of Medical Internet Research, 23(1), e19928.
Feng, X., Fu, S. & Qin, J. (2016). Determinants of consumers’ attitudes toward mobile advertising: The mediating roles of intrinsic and extrinsic motivations. Computers in Human Behavior, 63, 334-341.
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gupta, P., Prashar, S., Vijay, T. S. & Parsad, C. (2021). Examining the influence of antecedents of continuous intention to use an informational app: the role of perceived usefulness and perceived ease of use. International Journal of Business Information Systems, 36(2), 270-287.
Ha, N. & Nguyen, T. (2019). The effect of trust on consumers’ online buying intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
Han, B., Kim, M. & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade, 22(2), 86–104. https://doi.org/10.1108/jkt-10-2017-0093
Hasan, H. N. & Suciarto, S. (2020). The influence of attitude, subjective norm and perceived behavioral control towards organic food purchase intention. Journal of Management and Business Environment (JMBE), 1(2), 132.
Hua, L. & Wang, S. (2019). Antecedents of consumers’ intention to buy energy-efficient appliances: An empirical study based on the technology acceptance model and theory of planned behavior. Sustainability, 11(10), 2994.
Iriani, S. S. & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of the COVID-19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313-320.
Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A. & Asadollahi, A. R. (2012). An analysis of factors affecting online shopping behavior of consumers. International Journal of Marketing Studies, 4(5), 81.
Krejcie, R. V. & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Li, X., Zhao, X. & Pu, W. (2020). Measuring the ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behavior patterns. Journal of Retailing and Consumer Services, 55, 102093.
Lien, C. H. & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior, 41, 104-111.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R. & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of buying intention. Procedia Economics and Finance, 35, 401-410.https://doi.org/10.1016/s2212-5671(16)00050-2
Lin, H. F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433-442.
Malik, A. N. A. & Annuar, S. N. S. (2021). The effect of perceived usefulness, perceived ease of use, reward, and perceived risk toward e-wallet usage intention. In Eurasian Business and Economics Perspectives: Proceedings of the 30th Eurasia Business and Economics Society Conference (pp. 115-130). Springer International Publishing.
Monsuwé, T. P., Dellaert, B. G. & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121.
Park, D. H., Lee, J. & Han, I. (2007). The effect of online consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A. & Siqueira-Junior, J. R. (2020). Buying intention and buying behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284
Rehman, S. U., Bhatti, A., Mohamed, R. & Ayoup, H. (2019). The moderating role of trust and commitment between consumer buying intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 1-25.
Rimal, R. N. & Real, K. (2003). Understanding the influence of perceived norms on behaviors. Communication Theory, 13(2), 184-203.
Roberts, A. E., Davenport, T. A., Wong, T., Moon, H. W., Hickie, I. B. & LaMonica, H. M. (2021). Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol. Internet Interventions, 24, 100379.
Ru, L. J., Kowang, T. O., Long, C. S., Fun, F. S. & Fei, G. C. (2021). Factors influencing online buying intention of Shopee’s consumers in Malaysia. International Journal of Academic Research in Business and Social Sciences, 11(1), 761-776.
Schwarzer, R. & Luszczynska, A. (2008). Self-efficacy. Handbook of Positive Psychology Assessment, 207-217.
Sembada, A. Y. & Koay, K. Y. (2021). How perceived behavioral control affects trust in buying in social media stores. Journal of Business Research, 130, 574-582.
Shaouf, A., Lü, K. & Li, X. (2016). The effect of web advertising visual design on online buying intention: An examination across gender. Computers in Human Behavior, 60, 622-634.
Singh, N. & Sinha, N. (2020). How perceived trust mediates a merchant's intention to use mobile wallet technology. Journal of Retailing and Consumer Services, 52, 101894.
Song, H., Ruan, W. J. & Jeon, Y. J. J. (2021). An integrated approach to the buying decision-making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, 102943.
van der Heijden, J. G. M., Verhagen, T. & Creemers, M. R. (2001). Predicting online buying behavior: Replications and tests of competing models. In Proceedings of the 34th Hawaiian International Conference on System Sciences (HICSS) HICSS.
Ventre, I. & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online buying intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Yang, M., Mamun, A. A., Mohiuddin, M., Nawi, N. C. & Zainol, N. R. (2021). Cashless transactions: A study on the intention and adoption of e-wallets. Sustainability, 13(2), 831.
Zhao, Y., Wang, L., Tang, H. & Zhang, Y. (2020). Electronic word-of-mouth and consumer buying intentions in social e-commerce. Electronic Commerce Research and Applications, 41, 100980.
Abou Ali, A., Abbass, A. & Farid, N. (2020). Factors influencing customers’ buying intention in social commerce. International Review of Management and Marketing, 10(5), 63.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I. (2002). Perceived behavioral control, self?efficacy, locus of control, and the theory of planned behavior 1. Journal of Applied Social Psychology, 32(4), 665-683.
Ajzen, I. & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888.
Al Rawashdeh, A. Z., Mohammed, E. Y., Al Arab, A. R., Alara, M. & Al-Rawashdeh, B. (2021). Advantages and disadvantages of using e-learning in university education: Analyzing students’ perspectives. Electronic Journal of E-learning, 19(3), 107-117.
Al-Azzam, A. F. & Al-Mizeed, K. (2021). The effect of digital marketing on purchasing decisions: A case study in Jordan. The Journal of Asian Finance, Economics and Business, 8(5), 455-463.
Albarracin, D., Johnson, B. T., Fishbein, M. & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological Bulletin, 127(1), 142.
Arghashi, V. & Yuksel, C. A. (2022). Interactivity, inspiration, and perceived usefulness! How retailers’ AR apps improve consumer engagement through flow. Journal of Retailing and Consumer Services, 64, 102756.
Athapaththu, J. C. & Kulathunga, K. M. S. D. (2018). Factors affecting online purchase intention (OPI): A study of Sri Lankan online customers. International Journal of Scientific and Technology Research, 7(9), 120–128.
Bandura, A. & Hall, P. (2018). Albert Bandura and social learning theory. Learning Theories for Early Years Practice, 63-65.
Bimaruci, H., Hudaya, A. & Ali, H. (2020). Model of consumer trust on travel agent online: analysis of perceived usefulness and security on re-buying interests (case study tiket. com). Dinasti International Journal of Economics, Finance & Accounting, 1(1), 110-124.
Bougie, R. & Sekaran, U. (2019). Research methods for business: A skill building approach. John Wiley & Sons.
Cheung, M. F. Y. & To, W. M. (2017). The influence of the propensity to trust on mobile users’ attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102–111. https://doi.org/10.1016/j.chb.2017.07.011
Chigbu, U. E. (2019). Visually hypothesizing in scientific paper writing: Confirming and refuting qualitative research hypotheses using diagrams. Publications, 7(1), 22.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Davis, F. D. (1986). A Technology Acceptance Model for Empirical Testing New end-user information system: Theory and Results. Massachusetts Institute of Technology.
eMarketer (2015). US M-Commerce 2015: eMarketer's Forecast and Trends. http://www.emarketer.com/corporate/coverage#/results/1282.
Fan, X., Chao, D., Zhang, Z., Wang, D., Li, X. & Tian, F. (2021). Utilization of self-diagnosis health chatbots in real-world settings: A case study. Journal of Medical Internet Research, 23(1), e19928.
Feng, X., Fu, S. & Qin, J. (2016). Determinants of consumers’ attitudes toward mobile advertising: The mediating roles of intrinsic and extrinsic motivations. Computers in Human Behavior, 63, 334-341.
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gupta, P., Prashar, S., Vijay, T. S. & Parsad, C. (2021). Examining the influence of antecedents of continuous intention to use an informational app: the role of perceived usefulness and perceived ease of use. International Journal of Business Information Systems, 36(2), 270-287.
Ha, N. & Nguyen, T. (2019). The effect of trust on consumers’ online buying intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
Han, B., Kim, M. & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade, 22(2), 86–104. https://doi.org/10.1108/jkt-10-2017-0093
Hasan, H. N. & Suciarto, S. (2020). The influence of attitude, subjective norm and perceived behavioral control towards organic food purchase intention. Journal of Management and Business Environment (JMBE), 1(2), 132.
Hua, L. & Wang, S. (2019). Antecedents of consumers’ intention to buy energy-efficient appliances: An empirical study based on the technology acceptance model and theory of planned behavior. Sustainability, 11(10), 2994.
Iriani, S. S. & Andjarwati, A. L. (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of the COVID-19 pandemic. Systematic Reviews in Pharmacy, 11(12), 313-320.
Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A. & Asadollahi, A. R. (2012). An analysis of factors affecting online shopping behavior of consumers. International Journal of Marketing Studies, 4(5), 81.
Krejcie, R. V. & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Li, X., Zhao, X. & Pu, W. (2020). Measuring the ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behavior patterns. Journal of Retailing and Consumer Services, 55, 102093.
Lien, C. H. & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior, 41, 104-111.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R. & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of buying intention. Procedia Economics and Finance, 35, 401-410.https://doi.org/10.1016/s2212-5671(16)00050-2
Lin, H. F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433-442.
Malik, A. N. A. & Annuar, S. N. S. (2021). The effect of perceived usefulness, perceived ease of use, reward, and perceived risk toward e-wallet usage intention. In Eurasian Business and Economics Perspectives: Proceedings of the 30th Eurasia Business and Economics Society Conference (pp. 115-130). Springer International Publishing.
Monsuwé, T. P., Dellaert, B. G. & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121.
Park, D. H., Lee, J. & Han, I. (2007). The effect of online consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A. & Siqueira-Junior, J. R. (2020). Buying intention and buying behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284
Rehman, S. U., Bhatti, A., Mohamed, R. & Ayoup, H. (2019). The moderating role of trust and commitment between consumer buying intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 1-25.
Rimal, R. N. & Real, K. (2003). Understanding the influence of perceived norms on behaviors. Communication Theory, 13(2), 184-203.
Roberts, A. E., Davenport, T. A., Wong, T., Moon, H. W., Hickie, I. B. & LaMonica, H. M. (2021). Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol. Internet Interventions, 24, 100379.
Ru, L. J., Kowang, T. O., Long, C. S., Fun, F. S. & Fei, G. C. (2021). Factors influencing online buying intention of Shopee’s consumers in Malaysia. International Journal of Academic Research in Business and Social Sciences, 11(1), 761-776.
Schwarzer, R. & Luszczynska, A. (2008). Self-efficacy. Handbook of Positive Psychology Assessment, 207-217.
Sembada, A. Y. & Koay, K. Y. (2021). How perceived behavioral control affects trust in buying in social media stores. Journal of Business Research, 130, 574-582.
Shaouf, A., Lü, K. & Li, X. (2016). The effect of web advertising visual design on online buying intention: An examination across gender. Computers in Human Behavior, 60, 622-634.
Singh, N. & Sinha, N. (2020). How perceived trust mediates a merchant's intention to use mobile wallet technology. Journal of Retailing and Consumer Services, 52, 101894.
Song, H., Ruan, W. J. & Jeon, Y. J. J. (2021). An integrated approach to the buying decision-making process of food-delivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management, 95, 102943.
van der Heijden, J. G. M., Verhagen, T. & Creemers, M. R. (2001). Predicting online buying behavior: Replications and tests of competing models. In Proceedings of the 34th Hawaiian International Conference on System Sciences (HICSS) HICSS.
Ventre, I. & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online buying intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Yang, M., Mamun, A. A., Mohiuddin, M., Nawi, N. C. & Zainol, N. R. (2021). Cashless transactions: A study on the intention and adoption of e-wallets. Sustainability, 13(2), 831.
Zhao, Y., Wang, L., Tang, H. & Zhang, Y. (2020). Electronic word-of-mouth and consumer buying intentions in social e-commerce. Electronic Commerce Research and Applications, 41, 100980.
Published
2023-09-17
How to Cite
Mohd Nazri, S. A. A., & Othman, A. K. (2023). Factors Influencing Online Buying Intention among Royal Malaysian Police (RMP) Officers. Information Management and Business Review, 15(3(SI), 376-386. https://doi.org/10.22610/imbr.v15i3(SI).3494
Issue
Section
Research Paper
Copyright (c) 2023 Sofia Anis Anisha Mohd Nazri, Abdul Kadir Othman
This work is licensed under a Creative Commons Attribution 4.0 International License.
Author (s) should affirm that the material has not been published previously. It has not been submitted and it is not under consideration by any other journal. At the same time author (s) need to execute a publication permission agreement to assume the responsibility of the submitted content and any omissions and errors therein. After submission of revised paper in the light of suggestions of the reviewers, the editorial team edits and formats manuscripts to bring uniformity and standardization in published material.
This work will be licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and under condition of the license, users are free to read, copy, remix, transform, redistribute, download, print, search or link to the full texts of articles and even build upon their work as long as they credit the author for the original work. Moreover, as per journal policy author (s) hold and retain copyrights without any restrictions.
