Impact of Perceived Benefits and Perceived Risks on Online Shopping Behaiour with Mediating Role of Purchase Intention

Authors

  • Sidra Abd-ul-wahid M.Phil. Scholar, Department of Management & Administrative Sciences, University of Narowal, Punjab, Pakistan Author
  • Muhammad Ahmad Assistant Professor, Department of Management & Administrative Sciences, University of Narowal, Punjab, Pakistan Author
  • Huma Ijaz M.Phil. Scholar, Department of Management & Administrative Sciences, University of Narowal, Punjab, Pakistan Author

DOI:

https://doi.org/10.61506/01.00226

Keywords:

Online shopping behavior, purchase intention, perceived benefits, and perceived risk

Abstract

Online purchasing has revolutionized consumer market. It allows individuals to access a variety of products with a single click. With evolution of e-commerce understanding the factors influencing online shopping behavior is imperative for firms to remain competitive. This study investigates the relationship between perceived benefits (PB) and perceived risks (PR), mediated by purchase intention (PI) on online buying behavior (OSB). Six key elements—shopping convenience, product variety, price advantage, product risk, privacy risk, and financial risk—were evaluated through data collected from 300 internet shoppers via a structured questionnaire. The data is analyzed with SPSS. Results underline the significance of convenience, product variety, and price advantage in stimulating online purchases, with PB positively impacting customers' online purchasing behavior (OPB). Conversely, perceived risks negatively affect online shopping decisions, necessitating efficient risk management strategies to bolster consumer confidence. The mediation role of PI was examined using the Hayes macro process, revealing its significance in the relationship between PB, PR, and OSB. Notably, PI mediates the impact of both PB and PR on OSB, highlighting its pivotal role in shaping consumers' online purchasing behavior. These findings offer actionable insights for businesses, emphasizing the importance of leveraging PB to encourage beneficial purchasing intentions and mitigate PR to foster online shopping behavior. Ultimately, this study contributes to a deeper understanding of consumer decision-making in online settings, facilitating the development of targeted marketing strategies and enhancing overall online shopping experiences.

References

Adnan, H. (2014). An analysis of the factors affecting online purchasing behavior of Pakistani consumers. International Journal of Marketing Studies, 6(5), 133. DOI: https://doi.org/10.5539/ijms.v6n5p133

Adnan, M. (2014).The impact of perceived benefits and risks on online purchase intention in Malaysia.International Journal of Marketing Studies, 6(5), 1–18.

Ahmed, Z., Su, L., Rafique, K., Khan, S. Z., &Jamil, S. (2018). A Study on the Factors Affecting Consumer Buying Behavior towards Online Shopping in Pakistan. Journal of Asian Business Strategy, 7(2), 44-56. DOI: https://doi.org/10.18488/journal.1006/2017.7.2/1006.2.44.56

Aijaz, H., & Butt, F. S. (2009). Barriers in the development of electronic commerce: Study of Pakistani environment[Masters Thesis]. Jönköping International Business School, Jönköping University.

Ajzen, I. (1991). The theory of planned behavior.Organizational Behavior and Human Decision Processes, 50(2), 179–211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I., &Fishbein.(1980).Understanding attitudes and predicting social behavior.PrenticeHall.

Almousa, M. (2011). Perceived risk in apparel online shopping: A multi dimensional perspective/LE risque PER£U dansdes Achats En Ligne D’habillement: Une Perspective De Dimensionnelle Multiple. Canadian Social Science, 7(2), 23.

Almousa, M. (2014). The influence of risk perception in online purchasing behavior: Examination of an early-stage online market. International Review of Management and Business Research, 3(2), 779.

Amin, S., &Mahasan, S. (2014). Relationship between consumers per-ceived risks and consumer trust: A study of Sainsbury store. Middle East Journalof Scientific Research, 19(19), 647–655.

Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K., & Ali, K. M. (2014). Consumer perceived risk, attitude, and onlineshoppingbehaviour; empirical evidence from Malaysia. Materials Science and Engineering. Paper presented at the IOP Conference Series. DOI: https://doi.org/10.1088/1757-899X/58/1/012007

Arshad, A., Zafar, M., Fatima, I., & Khan, S. K. (2015).The impact of perceived risk online buying behavior.International Journal of New Technology and Research, 1(8), 1318.

Babin, B. J., &Attaway, J. S. (2000).Atmospheric affect as a tool for creating value and gaining share of customer. Journal of Business Research, 49(2), 91-99. DOI: https://doi.org/10.1016/S0148-2963(99)00011-9

Babin, B. J., & Lee, K. (2019). The effects of perceived risk on e-commerce: comparison of online versus offline transactions. Journal of Business Research, 98, 494-502.

Bashir, D. R., Mehboob, I., &Bhatti, W. K. (2015). Effects of online shopping trends on consumer-buying behavior: An empirical study of Pakistan [Masters Thesis]. Journal of Management and Research, 2(2), 1–24. DOI: https://doi.org/10.29145/jmr/22/0202001

Bauer, R. A. (1960). Consumer behavior as risk taking. Paper presented at the Proceedings of the 43rd National Conference of the American Marketing Association. Chicago, IL.

Bhatnagar, A., &Ghose, S. (2004). Segmenting consumer markets based on benefit seeking, usage occasions, and individual characteristics. Journal of Consumer Marketing, 21(4), 276-287.

Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805-825. DOI: https://doi.org/10.2307/25148755

Bhatti, A. (2018). Consumer purchase intention effect on online shopping behavior with the moderating role of attitude.International Journal of Academic Management Science Research (IJAMSR), 2(7), 44–50.

Bhatti, A. (2018c). Sales promotion and price discount effect on consumer purchase intention with the moderating role of social media in Pakistan. International Journal of Business and Management, 3(4), 50–58.

Bhatti, A., & Ur Rehman, S. (2019). Impact of Social risk, Government and Psychological Factors with Moderator Cultural Factors on Online Shopping Behavior in Pakistan.Pakistan Journal of Humanities and Social Sciences, 7(1), 31–44. DOI: https://doi.org/10.52131/pjhss.2019.0701.0070

Bhatti, A., & Ur Rehman,S. (2020). Perceived benefits and perceived risks effect on onlines hopping behavior with the mediating role of consumer purchase intention in Pakistan. International Journal of Management Studies, 26(1), 33–54. DOI: https://doi.org/10.32890/ijms.26.1.2019.10512

Bhatti, A., &Shafique Ur Rehman. (2019). The influence of risks on online shopping behavior in Pakistan. International Journal of Innovation, Creativity and Change. http://www.ijicc.net, 10(9).

Bhatti, A., Saad, S., &Gbadebo, S. M. (2018). Convenience risk, product risk, and perceived risk influence on online shopping: Moderating effect of attitude. Science Arena Publications.International Journal of Business and Management, 3(2), 1–11.

Bhatti, A., Saad, S., &Gbadebo, S. M. (2018b).The effect of financial risk and convenience risk on online shopping behavior with the moderating role of trust.International Journal of Academic Management Science Research, 2(8), 38–42.

Bhatti, A., Saad, S., &Gbadebo, S. M. (2020). Moderator trust, subjective norms influence risk and online shopping behavior of consumers. International Journal of Scientific Engineeringand Technology Research, 9(1), 627–664.

Bhatti, M. A., Saad, N. M., &Gbadebo, S. A. (2018). Determinants of online shopping behavior: The mediating role of purchase intention. Journal of Internet Banking and Commerce, 23(2), 1–15.

Bhatti, M. A., Saad, N. M., &Gbadebo, S. A. (2020). Factors influencing online shopping behavior: The mediating role of purchase intention. International Journal of Electronic Commerce Studies, 11(1), 17–32.

Brüseke, L. (2016). The influence of privacy perceptions on online shopping behavior: a comparison between millennials and baby boomers. University of Twente.

Chang, H. H., Liao, S. H., & Wang, W. Y. (2022). Antecedents and consequences of consumer perceived risk in mobile commerce. Internet Research, 32(1), 229-254.

Chaudary, S., Rehman, M. A., &Nisar, S. (2014). Factors influencing the acceptance of online shopping in pakistan. DOI: https://doi.org/10.35536/ljb.2014.v3.i1.a5

Chen, Y. J., & Chang, Y. C. (2020). A study of online shopping intention based on convenience factors. InProceedings of the 2020 International Conference on Orange Technologies (ICOT)(pp. 28–33).

Chen, Y., Fay, S., & Wang, Q. (2014). The role of marketing in social media: How online consumer reviews evolve. Journal of Interactive Marketing, 28(3), 134–146.

Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2014).Determinants of satisfaction and continuance intention towards self-service technologies.Industrial Management and Data Systems, 114(8), 1317–1337.

Choi, J., & Kim, Y. (2019).The impact of perceived product variety on consumer responses in an online shopping context.Journal of Retailing and Consumer Services, 48, 192–200.

Chong, A. Y. L., Ooi, K. B., Lin, B., &Bao, H. (2017). Understanding customers' intention to shop online: An integrative model incorporating trust, perceived benefits, and perceived risk. International Journal of Information Management, 37(3), 209-219.

Dai, B., Forsythe, S. and Kwon, W.S. (2014), “The impact of online shopping experience on risk perceptions and online purchase intentions: does product category matter”, Journal of Electronic Commerce Research, Vol. 15 No. 1, pp. 13-24.

Dinev, T., Bellotto, M., Hart, P., Russo, V., & Serra, I. (2013).Privacy calculus model in e-commerce—a study of Italy and the United States. Information & Management, 50(5), 1-12.

Dost, B., Khyzer, M., Illyas, M., & Abdul Rehman, C. (2015). Online shopping trends and its effects on consumer buying behavior: A case study of young generation of Pakistan. NG-Journal of Social Development, 417(3868), 1–22

Featherman, M. S., &Pavlou, P. A. (2003).Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. DOI: https://doi.org/10.1016/S1071-5819(03)00111-3

Featherman, M. S., et al. (2016). Trust, satisfaction, and online repurchase intention: The moderating role of perceived effectiveness of e-commerce institutional mechanisms. MIS Quarterly, 40(1), 881-110.

Forsythe, S. and Shi, B. (2003), “Consumer patronage and risk perceptions in internet shopping”, Journal of Business Research, Vol. 56 No. 11, pp. 867-875. DOI: https://doi.org/10.1016/S0148-2963(01)00273-9

Grewal, D., Monroe, K. B., & Krishnan, R. (2014). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 73(6), 105–114.

Hasan, M., Sadiq, T., Ali, M. N., Asghar, M., &Mohsin, M. (2022). Consumer purchase intention in online retail: The role of perceived risk, satisfaction, and trust. Journal of Retailing and Consumer Services, 67, 102731.

Iyengar, S. S., &Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995-1006. DOI: https://doi.org/10.1037//0022-3514.79.6.995

Jiang, L., Yang, Z., Jun, M., & Ni, J. (2016). The impact of social media reviews on restaurant sales performance: The moderating role of excellence award. International Journal of Hospitality Management, 53, 30–40.

Jiang, L., Yang, Z., Jun, M., & Wang, X. (2015). The impact of social media reviews on restaurant performance: The mediating role of price premium. International Journal of Hospitality Management, 47, 77–87.

Johnson, R. D., &Snepenger, D. J. (2019). E-commerce website security and trustworthiness: A study of user perceptions. Journal of Computer Information Systems, 59(2), 137-146.

Kim, D. J., Ferrin, D. L., &Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564. DOI: https://doi.org/10.1016/j.dss.2007.07.001

Kim, D. J., Ferrin, D. L., &Rao, H. R. (2014). Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, 25(3), 630-655.

Kim, D., & Ammeter, A. P. (2018). Shifts in online consumer behavior: A preliminary investigation of the net generation. Journal of Theoretical and Applied Electronic Commerce Research, 13(1), 1–25. DOI: https://doi.org/10.4067/S0718-18762018000100102

Kim, M., Lee, J. S., & Tao, W. (2021). Effects of online product presentation on consumers' risk perception, trust, and purchase intention: Focusing on products with low brand familiarity. Journal of Retailing and Consumer Services, 59, 102413.

Kim, Y., & Kim, J. H. (2020).Investigating antecedents of perceived risk in online shopping: A moderating role of perceived product scarcity.Sustainability, 12(21), 9025. DOI: https://doi.org/10.3390/su12208650

Kim, Y., Park, J., & Foreman, A. M. (2017). The influence of product risk on trust in online travel products: Social media-generated information as a mediator. Journal of Travel Research, 56(5), 651–662.

Kuo, Y. F., Wu, C. M., & Deng, W. J. (2012). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value- added services. Computers in Human Behavior, 28(3), 887–896. DOI: https://doi.org/10.1016/j.chb.2009.03.003

Laohapensang, W. (2009). Factors influencing consumer online shopping attitudes and behavior: The case of Thai consumers. Journal of Promotion Management, 15(3), 329-354.

Laroche, M., Habibi, M. R., & Richard, M. O. (2013). To be or not to be in social media: How brand loyalty is affected by social media? International Journal of Information Management, 33(1), 76-82. DOI: https://doi.org/10.1016/j.ijinfomgt.2012.07.003

Lee, J., & Park, D. H. (2020). The effects of perceived risk on online purchase intention: The mitigating role of product variety. Journal of Research in Interactive Marketing, 14(4), 437–454.

Lee, J., & Shin, D. (2019). Risk perceptions and online payment method choice: Examining the moderating effects of individual differences. Journal of Electronic Commerce Research, 20(3), 230–249.

Li, M., & Zhang, Z. (2019). Factors influencing online shopping behavior: The mediating role of purchase intention. Journal of Research in Interactive Marketing, 13(2), 226–245.

Liang, H., & Huang, J. (1998). An empirical study on consumer acceptance of products in electronic markets: A transaction cost model. Decision Support Systems, 24(1), 29-43. DOI: https://doi.org/10.1016/S0167-9236(98)00061-X

Liang, T. P., & Huang, J. S. (2015).The role of personalization in online auction market.Computers in Human Behavior, 52, 254–264.

Liang, Y., & Huang, J. (2019). E-commerce pricing: How price frames affect purchase intention in online shopping. Journal of Retailing and Consumer Services, 50, 314–320.

Liao, C., & Chen, J. (2019).The influence of price advantage on trust and purchase intention in online shopping platforms.Information Systems and e-Business Management, 17(1), 1–25.

Liao, Z., & Cheung, M. T. (2002). Internet-based e-shopping and consumer attitudes: An empirical study. Information & Management, 39(9), 727-739. DOI: https://doi.org/10.1016/S0378-7206(01)00097-0

Liebana-Cabanillas, F. et al. (2017). Influence of online reviews on customers’ outcomes: A systematic review. Frontiers in Psychology, 8, 1–14.

Liebana-Cabanillas, F., Sanchez-Fernandez, J., & Munoz-Leiva, F. (2019). Antecedents and consequences of perceived value in online shopping: Empirical evidence from the UK and Spain. Journal of Retailing and Consumer Services, 46, 58–69.

Liebana-Cabanillas, F., Sanchez-Fernandez, J., & Munoz-Leiva, F. (2018). Role of privacy concerns in Spanish young users’ intention to disclose personal information on social networking sites. Computers in Human Behavior, 81, 30–40.

Liu, C., Marchewka, J. T., Lu, J., & Yu, C. S. (2019). The role of security awareness in influencing individuals’ intention to use online banking: An exploratory study. Information and Management, 56(3), 412–426.

Liu, F., & Li, D. (2019). The impact of perceived product risk on online consumer satisfaction: A mediated moderation model. International Journal of Consumer Studies, 43(3), 235–244.

Liu, X., He, J., &Gao, F. (2016). Exploring factors influencing Chinese consumers’ online shopping behaviors: A multidimensional perspective.Computers in Human Behavior, 61, 67–77.

Lohse, G.L., Bellman, S. and Johnson, E.J. (2000) ‘Consumer buying behavior on the internet: findings from panel data’, Journal of Interactive Marketing, Vol. 14, No. 1, pp.15–29. DOI: https://doi.org/10.1002/(SICI)1520-6653(200024)14:1<15::AID-DIR2>3.0.CO;2-C

Maignan, I. and Lukas, B.A. (1997), “The nature and social uses of the internet: a qualitative investigation”, Journal of Consumer Affairs, Vol. 31 No. 2, pp. 346-371. DOI: https://doi.org/10.1111/j.1745-6606.1997.tb00395.x

Masoud, E.Y. (2013), “The effect of perceived risk on online shopping in Jordan”, European Journal of Business and Management, Vol. 5 No. 6, pp. 76-87.

Nielsen, A. (2008). Grocery store choice and value for money: A global nielsen consumer report. Technical Report, January.

Pakwired. (2017, July 20). EasyPaisa Now Lets Users Create Mastercard Credit Card Within Seconds. http://parkwired.com

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. DOI: https://doi.org/10.1080/10864415.2003.11044275

Popli, A. and Mishra, S. (2015), “Factors of perceived risk affecting online purchase decisions of consumers”, Pacific Business Review International, Vol. 8 No. 2, pp. 49-58.

Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences [by] John T. Roscoe.

Seiders, K., Berry, L. L., & Gresham, L. G. (2000). Attention, retailers! How convenient is your convenience strategy? MIT Sloan Management Review, 41(3), 79.

Sin, L., &Tse, A. (2002).Profiling internet shoppers in Hong Kong: Demographic, psychographic, attitudinal and experiential factors. Journal of International Consumer Marketing, 15(1), 7–29. DOI: https://doi.org/10.1300/J046v15n01_02

Sorce, P., Perotti, V., &Widrick, S. (2005).Attitude and age differences in online buying.International Journal of Retail and Distribution Management, 33(2), 122–132. DOI: https://doi.org/10.1108/09590550510581458

Suki, N. M., &Suki, N. M. (2021).Examining the factors that influence consumer purchase intentions in e-commerce. Journal of Entrepreneurship and Business, 9(2), 115-131.

Teo, T.S. H. (2002). Attitudes toward online shopping and the internet.Behaviour and Information Technology, 21(4), 259–271. DOI: https://doi.org/10.1080/0144929021000018342

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2014).From multi-channel retailing to omni-channel retailing.Journal of Retailing, 91(2), 174–181. DOI: https://doi.org/10.1016/j.jretai.2015.02.005

Voskuyl, T., Kerkhof, P., &Verhoef, P. C. (2018). The impact of perceived product variety on customer loyalty: A meta-analysis. Journal of Retailing, 94(1), 61–85.

Wang, D., Li, X., & Zhang, W. (2016). The influence of website information transparency on online purchase intention: A mediating role of trust and perceived risk. Computers in Human Behavior, 60, 287–297.

Wang, L., & Chen, L. (2021).Understanding the impact of perceived benefits on Chinese online shoppers’ purchase intention.Journal of Consumer Marketing, 38(4), 498–510.

Wang, X., Yeh, R. K., & Huang, S. L. (2019). Effects of perceived product risk on purchase intention: An empirical study of online consumers in China. International Journal of Information Management, 46, 264-273.

Wang, Y., Wang, Y., & Wang, Y. (2017).The effects of consumer characteristics, perceived risk, and familiarity on online banking adoption. Journal of Internet Banking and Commerce, 22(3), 1-18.

Yin, Y., & He, S. (2020). Does perceived risk matter? Assessing the impacts of perceived risk on consumers' online purchase intentions of fresh food.International Journal of Environmental Research and Public Health, 17(4), 1264.

Zhang, M., Li, X., Yang, J., & Zhang, J. (2018).When high price is not a turn-off: The moderating role of consumer knowledge in perceived price fairness.Journal of Retailing and Consumer Services, 41, 37–45.

Zhou, L., Dai, L. and Zhang, D. (2007) ‘Online shopping acceptance model-A critical survey of consumer factors in online shopping’, Journal of Electronic Commerce Research, Vol. 8, No. 1, p.41.

Zhou, T., Lu, Y., & Wang, B. (2014).Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 40, 411-419.

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2024-03-25

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Abd-ul-wahid, S., Ahmad, M., & Ijaz, H. (2024). Impact of Perceived Benefits and Perceived Risks on Online Shopping Behaiour with Mediating Role of Purchase Intention. Bulletin of Business and Economics (BBE), 13(1). https://doi.org/10.61506/01.00226