Impulse buying tendency in online food delivery service among Muslims in Indonesia
-
Received January 17, 2024;Accepted May 21, 2024;Published June 3, 2024
-
Author(s)Link to ORCID Index: https://orcid.org/0000-0001-9063-6990Link to ORCID Index: https://orcid.org/0009-0003-4051-0101Link to ORCID Index: https://orcid.org/0000-0002-5968-1264
-
DOIhttp://dx.doi.org/10.21511/im.20(2).2024.18
-
Article InfoVolume 20 2024, Issue #2, pp. 217-229
- TO CITE АНОТАЦІЯ
- 461 Views
-
92 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This study investigates the factors influencing impulse buying behavior in online food purchases in Indonesia. The research gathered data from 270 valid respondents from the Muslim community through an online survey (Google Forms). Demographic analysis revealed a predominantly young, single-student population, primarily from Central Java. The study employed the Structural Equation Modeling (SEM) technique to analyze the data and test the hypotheses. The impulse buying tendency scale included seven variables: religiosity, platform quality, social influence, intentions, self-control, consumer mood and Impulse buying tendency. The results indicate that self-control (β: –0.140, p-value: 0.024) plays a crucial role in mitigating impulse buying tendencies whereas religiosity (β: 0.304, p-value < 0.001) can increase the level of self-control. Additionally, platform quality (β: 0.488, p-value < 0.001) significantly impacts individuals’ intention to engage in impulsive purchases. Consumer mood (β: 0.681, p-value < 0.001) is the highest cause of impulse buying behavior. Notably, self-control can reduce impulsive buying tendencies, which means that the higher the self-control ability, the lower the possibility of making impulse purchases. However, the social influence (β: –0.175, p-value: 0.026) has a negative effect on self-control.
- Keywords
-
JEL Classification (Paper profile tab)M31, M21, P23, N35
-
References57
-
Tables6
-
Figures1
-
- Figure 1. Conceptual model
-
- Table 1. Scale summary
- Table 2. Demographics
- Table 3. Exploratory Factor Analysis
- Table 4. Discriminant validity
- Table 5. Confirmatory Factor Analysis (CFA)
- Table 6. SEM results for testing the hypotheses
-
- Agus, A. A., Yudoko, G., Mulyono, N. B., & Imaniya, T. (2020). E-commerce Platform Performance, Digital Marketing and Supply Chain Capabilities. International Research Journal of Business Studies, 13(1), 63-80.
- Akram, U., Hui, P., Kaleem Khan, M., Tanveer, Y., Mehmood, K., & Ahmad, W. (2018). How website quality affects online impulse buying: Moderating effects of sales promotion and credit card use. Asia Pacific Journal of Marketing and Logistics, 30(1), 235-256.
- Ashfahany, A. El, Farrahvanaya, S. K., Apriantoro, M. S., & Suharjianto. (2024). Analysis of factors influencing intention to purchase halal Japanese food: The moderating role of religiosity. Innovative Marketing, 20(1), 66-76.
- Baumeister, R. F. (2002). Yielding to Temptation: Self-Control Failure, Impulsive Purchasing, and Consumer Behavior. Journal of Consumer Research, 28(4), 670-676.
- Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of Consumer Susceptibility to Interpersonal Influence. Journal of Consumer Research, 15(4), 473-481.
- Beldad, A., & Citra Kusumadewi, M. (2015). Here’s my location, for your information: The impact of trust, benefits, and social influence on location sharing application use among Indonesian university students. Computers in Human Behavior, 49, 102-110.
- Bilal, M., Zhang, Y., Cai, S., Akram, U., & Luu, N. T. M. (2023). Unlocking luxury purchase intentions in China: A study of consumer attitude, perceived value, and the moderating effect of perceived enjoyment. Acta Psychologica, 240(October), 104048.
- Brilliany, K. A., & Indrawati. (2022). Factors influencing continuance intention to use online food delivery in Indonesia. International Journal of Social Sciences and Management Review, 05(02), 248-256.
- Chung, N., Song, H. G., & Lee, H. (2017). Consumers’ impulsive buying behavior of restaurant products in social commerce. International Journal of Contemporary Hospitality Management, 29(2), 709-731.
- Cutright, K. M. (2012). The beauty of boundaries: When and why we seek structure in consumption. Journal of Consumer Research, 38(5), 775-790.
- De Ridder, D., & Gillebaart, M. (2017). Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control. Health Psychology Review, 11(1), 89-99.
- Febriandika, N. R., Harun, Hakimi, F., & Masrizal. (2023). Determinants of consumer adoption of Islamic mobile banking services in Indonesia. Bank and Bank Systems, 18(4), 30-43.
- Febriandika, N. R., Utami, A. P., & Millatina, A. N. (2023). Online impulse buying on TikTok platform: Evidence from Indonesia. Innovative Marketing, 19(3), 197-210.
- Febrilia, I., & Warokka, A. (2021). Consumer traits and situational factors: Exploring the consumer’s online impulse buying in the pandemic time. Social Sciences and Humanities Open, 4(1).
- Gulfraz, M. B., Sufyan, M., Mustak, M., Salminen, J., & Srivastava, D. K. (2022). Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms. Journal of Retailing and Consumer Services, 68.
- Gunawan, C. M., Rahmania, L., & Kenang, I. H. (2023). The Influence of Social Influence and Peer Influence on Intention to Purchase in E-Commerce. Review of Management and Entrepreneurship, 7(1), 61-84.
- Gunden, N., Morosan, C., & DeFranco, A. (2020). Consumers’ intentions to use online food delivery systems in the USA. International Journal of Contemporary Hospitality Management, 32(3), 1325-1345.
- Herman, A. M., Critchley, H. D., & Duka, T. (2018). Risk-taking and impulsivity: The role of mood states and interoception. Cognition, 9.
- Inzlicht, M., Werner, K. M., Briskin, J. L., & Roberts, B. W. (2021). Integrating Models of Self-Regulation. Annual Review of Psychology, 72, 319-345.
- Karimi, S., & Liu, Y. L. (2020). The differential impact of “mood” on consumers’ decisions, a case of mobile payment adoption. Computers in Human Behavior, 102(August 2019), 132-143.
- Khofifah, N. N., Adriansah, Oktriawan, W., & Abubakar, A. (2023). The Effect of Religiosity and Disposable Income on Interest in Saving Purwakarta Community in Islamic Banks. International Journal of Islamic Studies, 35(2), 1-10.
- Kothandapani, V. (1971). Validation of feeling, belief, and intention to act as three components of attitude and their contribution to prediction of contraceptive behavior. Journal of Personality and Social Psychology, 19(3), 321-333.
- Lahath, A., Omar, N. A., Ali, M. H., Tseng, M. L., & Yazid, Z. (2021). Exploring food waste during the COVID-19 pandemic among Malaysian consumers: The effect of social media, neuroticism, and impulse buying on food waste. Sustainable Production and Consumption, 28, 519-531.
- Liang, C. J., & Chen, H. J. (2009). A study of the impacts of website quality on customer relationship performance. Total Quality Management and Business Excellence, 20(9), 971-988.
- Loureiro, S. M. C., Costa, I., & Panchapakesan, P. (2017). A passion for fashion: the impact of social influence, vanity and exhibitionism on consumer behaviour. International Journal of Retail & Distribution Management, 45(5), 468-484.
- Maryati, W., Hartini, S., & Premananto, G. C. (2020). The Role of Religiosity and Spirituality on Impulsive Buying. Al-Uqud : Journal of Islamic Economics, 5(1), 119-150.
- Mortimer, G., Fazal-e-hasan, S. M., Grimmer, M., & Grimmer, L. (2020). Journal of Retailing and Consumer Services Explaining the impact of consumer religiosity, perceived risk and moral potency on purchase intentions. Journal of Retailing and Consumer Services, 55(March), 102115.
- Muraven, M., & Baumeister, R. F. (2000). Self-Regulation and Depletion of Limited Resources: Does Self-Control Resemble a Muscle? Psychological Bulletin, 126(2), 247-259.
- Nguyen, T. N., Lobo, A., & Greenland, S. (2017). The Influence of Cultural Values on Green Purchase Behaviour Abstract. Marketing Intelligence & Planning, 35(4), 377-396.
- Parsad, C., Prashar, S., Vijay, T. S., & Kumar, M. (2021). Do promotion and prevention focus influence impulse buying: The role of mood regulation, shopping values, and impulse buying tendency. Journal of Retailing and Consumer Services, 61(February), 102554.
- Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6).
- Peter, J. P. (2012). Construct Validity: A Review of Basic Issues and Marketing Practices. Journal of Marketing Research, 18(2), 133-145.
- Pornpitakpan, C., Yuan, Y., & Han, J. H. (2017). The effect of salespersons’ retail service quality and consumers’ mood on impulse buying. Australasian Marketing Journal, 25(1), 2-11.
- Rahman, A. A. (2023). Moral Identity and Electronic Aggression on Instagram Users: Self-control as a Moderating Variable. Indigenous: Jurnal Ilmiah Psikologi, 8(1), 1-8.
- Rosillo-Díaz, E., Blanco-Encomienda, F. J., & Crespo-Almendros, E. (2020). A cross-cultural analysis of perceived product quality, perceived risk and purchase intention in e-commerce platforms. Journal of Enterprise Information Management, 33(1), 139-160.
- Shankar, V., Venkatesh, A., Hofacker, C., & Naik, P. (2010). Mobile marketing in the retailing environment: Current insights and future research avenues. Journal of Interactive Marketing, 24(2), 111-120.
- Sharma, P., Sivakumaran, B., & Marshall, R. (2010). Impulse buying and variety seeking: A trait-correlates perspective. Journal of Business Research, 63(3), 276-283.
- Silvera, D. H., Lavack, A. M., & Kropp, F. (2008). Impulse buying: The role of affect, social influence, and subjective wellbeing. Journal of Consumer Marketing, 25(1), 23-33.
- Singh, J., Singh, G., Kumar, S., & Mathur, A. N. (2021). Religious influences in unrestrained consumer behaviour. Journal of Retailing and Consumer Services, 58.
- Spiteri Cornish, L. (2020). Why did I buy this? Consumers’ post-impulse-consumption experience and its impact on the propensity for future impulse buying behaviour. Journal of Consumer Behaviour, 19(1), 36-46.
- Sundström, M., Lidholm, S. H., & Radon, A. (2018). Clicking the boredom away-Exploring impulse fashion buying behavior online. Journal of Retailing and Consumer Services, 47, 150-156.
- Tandon, U., Kiran, R., & Sah, A. (2017). Analyzing customer satisfaction: users perspective towards online shopping. Nankai Business Review International, 8(3), 266-288.
- Tayibnapis, A. Z., Wuryaningsih, L. E., & Gora, R. (2018). The Development of Digital Economy in Indonesia. International Journal of Management & Business Studies, 8(3).
- Teo, T., Lee, C. B., Chai, C. S., & Wong, S. L. (2009). Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM). Computers and Education, 53(3), 1000-1009.
- Tice, D. M., & Bratslavsky, E. (2000). Giving in to feel good: The place of emotion regulation in the context of general self-control. Psychological Inquiry, 11(3), 149-159.
- Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress regulation takes precedence over impulse control: If you feel bad, do it! Journal of Personality and Social Psychology, 80(1), 53-67.
- Verkijika, S. F. (2020). An affective response model for understanding the acceptance of mobile payment systems. Electronic Commerce Research and Applications, 39, 100905.
- Wang, C., & Zhang, P. (2012). The Evolution of Social Commerce: The People, Business, Technology, and Information Dimensions. Communications of the Association for Information System, 31(5), 105-127.
- Wang, J. C., & Chang, C. H. (2013). How online social ties and product-related risks influence purchase intentions: A Facebook experiment. Electronic Commerce Research and Applications, 12(5), 337-346.
- Watterson, K., & Giesler, R. B. (2012). Religiosity and Self-Control: When the Going Gets Tough , the Religious Get Self-Regulating, 4(3), 193-205.
- Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly: Management Information Systems, 35(2), 373-396.
- Wertenbroch, K. (1998). Consumption self-control by rationing purchase quantities of virtue and vice. Marketing Science, 17(4), 317-337.
- Widayat, W., Masudin, I., & Satiti, N. R. (2020). E-Money payment: Customers’ adopting factors and the implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 6(3).
- Wu, S. I., & Jang, J. Y. (2014). The impact of ISO certification on consumers’ purchase intention. Total Quality Management and Business Excellence, 25(3-4), 412-426.
- Yi, S. (2012). Shame-Proneness as a Risk Factor of Compulsive Buying. Journal of Consumer Policy, 35(3), 393-410.
- Yu, S., Hudders, L., & Cauberghe, V. (2018). Selling luxury products online: The effect of a quality label on risk perception, purchase intention and attitude toward the brand. Journal of Electronic Commerce Research, 19(1), 16-35.
- Zhao, X., Wente, A., Flecha, M. F., Galvan, D. S., Gopnik, A., & Kushnir, T. (2021). Culture moderates the relationship between self-control ability and free will beliefs in childhood. Cognition, 210.
-
-
Conceptualization
Nur Rizqi Febriandika, Cindy Puspitasari, Maziyyatul Muslimah
-
Investigation
Nur Rizqi Febriandika, Cindy Puspitasari
-
Methodology
Nur Rizqi Febriandika, Cindy Puspitasari, Maziyyatul Muslimah
-
Supervision
Nur Rizqi Febriandika, Maziyyatul Muslimah
-
Validation
Nur Rizqi Febriandika
-
Writing – original draft
Nur Rizqi Febriandika, Cindy Puspitasari, Maziyyatul Muslimah
-
Writing – review & editing
Nur Rizqi Febriandika, Maziyyatul Muslimah
-
Software
Cindy Puspitasari, Maziyyatul Muslimah
-
Conceptualization
-
Perceived health risk, online retail ethics, and consumer behavior within online shopping during the COVID-19 pandemic
Yuniarti Fihartini , Arief Helmi , Meydia Hassan , Yevis Marty Oesman doi: http://dx.doi.org/10.21511/im.17(3).2021.02Innovative Marketing Volume 17, 2021 Issue #3 pp. 17-29 Views: 4519 Downloads: 1730 TO CITE АНОТАЦІЯThe risk of virus contracting during the COVID-19 pandemic has changed consumer preference for online shopping to meet their daily needs than shopping in brick-and-mortar stores. Online shopping presents a different environment, atmosphere, and experience. The possibility of ethical violations is higher during online than face-to-face transactions. Therefore, this study was conducted to investigate the influence of perceived health risk and customer perception of online retail ethics on consumer online shopping behavior during the COVID-19 pandemic, involving seven variables, namely perceived health risk, security, privacy, non-deception, reliability fulfillment, service recovery, and online shopping behavior. The data were collected through an online survey by employing the purposive sampling technique to a consumer who has shopped online during the COVID-19 pandemic in Indonesia. 315 valid responses were obtained and analyzed through quantitative method using SEM-Amos. The results showed that perceived health risk and four variables of online retail ethics including security, privacy, reliability fulfillment, and service recovery affected online shopping behavior. Meanwhile, non-deception was found to have an insignificant effect. The coefficient value proved perceived health risk to be more dominant in influencing online shopping behavior than the variables of online retail ethics. Thus, consumers pay more concern for their health during online shopping. However, positive consumer perceptions of the behavior of online retail websites in providing services also can encourage consumers to shop online during this pandemic.
-
Human resource management in promoting innovation and organizational performance
I Gede Riana , Gede Suparna , I Gusti Made Suwandana , Sebastian Kot , Ismi Rajiani doi: http://dx.doi.org/10.21511/ppm.18(1).2020.10Problems and Perspectives in Management Volume 18, 2020 Issue #1 pp. 107-118 Views: 3558 Downloads: 851 TO CITE АНОТАЦІЯHuman resource management (HRM) is one of the elements enabling an organization to remain competitive in turbulence conditions. The effective practice of HRM makes competent and innovative employees contributing to the achievement of organizational objectives. This study aims to analyze HRM practices in creating innovation and organizational performance. The questionnaire was used to measure the respondents’ perceptions of variables used by a Likert scale. A survey of 126 manager samples and middle managers at export-oriented short and medium enterprises (SMEs) in Bali, Indonesia, was conducted to test the model. The analysis has shown that the proposed model was proven to be compliant with the research hypotheses. HRM significantly affects organizational performance and innovation, and it was found out that innovation can improve organizational performance. However, in the process of simultaneous testing, it was found out that innovation cannot improve organizational performance. The lack of attention to investments in human resources became one of the barriers to SMEs in creating innovation.
-
Positive contribution of the good corporate governance rating to stability and performance: evidence from Indonesia
Problems and Perspectives in Management Volume 16, 2018 Issue #2 pp. 1-11 Views: 3212 Downloads: 314 TO CITE АНОТАЦІЯThis paper aims to examine the impact of Good Corporate Governance (GCG) practice on bank stability and performance. Governance is measured using the GCG rating that covers eleven aspects. The authors apply instrumental regression to link governance to performance and stability. The study covers a sample of 150 banks. The result shows that bank stability can mediate bank governance and bank performance. On the determinant of bank performance, it can be concluded that the GCG rating is positive and directly influences bank performance. Bank stability is also positive for bank performance indicating the indirect contribution of the GCG rating to bank performance. NPL, LDR, CAR and bank’s size (LASSET) are all negative and significant. The aim of this paper is to provide strong empirical evidence on the importance of governance and stability for performance. The limitations of this paper are the size of the sample and that it only covers public banks which are theoretically required to apply better governance in all aspects of their business by the Capital Market Authority.