바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Online Food Delivery App Distribution and Determinants of Jakarta's Gen Z Spending Habits

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2022, v.20 no.7, pp.73-86
https://doi.org/https://doi.org/10.15722/jds.20.07.202207.73
INDRIYARTI, Eko Retno
CHRISTIAN, Michael
YULITA, Henilia
RUMINDA, Marthaleina
SUNARNO, Sunarno
WIBOWO, Suryo

Abstract

Purpose: Considering the COVID-19 pandemic and the increasing number of online food delivery applications (OFDA), this study aims to assess the distribution of the presence of Indonesian OFDA and to measure the factors that influence the spending habits of OFDA users. Research design, data and methodology: Two hundred and nine OFDA users from Jakarta's Generation Z were surveyed via a questionnaire. The data were analyzed using Structural Equation Modeling and SMART PLS 3.0. Results: OFDAs were introduced into Indonesia in the recent past with varying degrees of popularity determined by the number of downloads. Users' intention to use was not determined by the speed of the introduction of an OFDA. This study also reveals that previous experience of the service, the orientation of time and price savings had a significant effect on spending habits. A moderating role of the saving variable on time and price was not demonstrated. Conclusions: The results of the study suggest that, in COVID-19 pandemic conditions, the spending habits of Generation Z are not based on impulse, thrift, or extravagance. The pandemic shaped specific motivations in spending habits, namely prioritizing need. This study has limitations, including the small sample size and the use of internal variables.

keywords
Online Food Delivery App, Distribution Channel, Time Saving, Price Saving, Spending Habits

Reference

1.

Agarwal, V., & Sahu, R. (2021). Predicting repeat usage intention towards O2O food delivery: extending UTAUT2 with user gratifications and bandwagoning. Journal of Foodservice Business Research, 1–41. https://doi.org/10.1080/15378020.2021.1951074

2.

Aharony, N. (2015). Why do students use What’s App? – An exploratory study. Aslib Journal of Information Management, 67(2), 136–158. https://doi.org/10.1108/ajim-11-2014-0148

3.

Akar, E., & Nasir, V. A. (2015). A review of literature on consumers’online purchase intentions. Journal of Customer Behaviour, 14(3), 215–233. https://doi.org/10.1362/147539215X14441363630837

4.

Akroush, M. N., & Al-Debei, M. M. (2015). An integrated model of factors affecting consumer attitudes towards online shopping. Business Process Management Journal, 21(6), 1353–1376. https://doi.org/10.1108/BPMJ-02-2015-0022

5.

Ali, G. A., Hilman, H., & Gorondutse, A. H. (2020). Effect of entrepreneurial orientation, market orientation and total quality management on performance Evidence from Saudi SMEs. Benchmarking: An International Journal, 27(4), 1503–1531. https://doi.org/10.1108/BIJ-08-2019-0391

6.

Alreck, P. L., & Settle, R. B. (2002). The hurried consumer: Timesaving perceptions of Internet and catalogue shopping. Journal of Database Marketing & Customer Strategy Management, 10(1), 25–35. https://doi.org/10.1057/palgrave.jdm.3240091

7.

Assaker, G., Hallak, R., & El-Haddad, R. (2020). Consumer usage of online travel reviews: Expanding the unified theory of acceptance and use of technology 2 model. Journal of Vacation Marketing, 26(2), 149–165. https://doi.org/10.1177/1356766719867386

8.

Barati, M., Taheri-Kharameh, Z., Farghadani, Z., & Rásky, É. (2019). Validity and Reliability Evaluation of the Persian Version of the Heart Failure-Specific Health Literacy Scale. International Journal of Community Based Nursing and Midwifery, 7(3), 222–230. https://doi.org/10.30476/IJCBNM.2019.44997

9.

Bashir, R., Mehboob, I., & Bhatti, W. K. (2015). Effects of Online Shopping Trends on Consumer-Buying Behaviour: An Empirical Study of Pakistan. Journal of Management and Research, 2(2), 1-24. https://doi.org/10.29145/jmr/22/0202001

10.

Bassiouni, D. H., & Hackley, C. (2014). ‘Generation Z’ children’s adaptation to digital consumer culture: A critical literature review. Journal of Customer Behaviour, 13(2), 113–133. https://doi.org/10.1362/147539214X14024779483591

11.

Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(103168), 1–16. https://doi.org/10.1016/j.im.2019.05.003

12.

Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109–132. https://doi.org/10.1016/j.knosys.2013.03.012

13.

Bonera, M. (2011). The propensity of e-commerce usage: the influencing variables. Management Research Review, 34(7), 821-837. https://doi.org/10.1108/01409171111146706

14.

Bringula, R. P. (2016). Reasons for Non-Engagement in Online Shopping: Evidence from the Philippines. International Journal of E-Business Research, 12(2), 17–30. https://doi.org/10.4018/IJEBR.2016040102

15.

Chaturvedi, S., & Gupta, S. (2014). Effect of Social Media on Online Shopping Behaviour of Apparels in Jaipur City- an Analytical Review. Journal of Business Management, Commerce & Research, II(7), 1–8. https://doi.org/10.2139/ssrn.3204970

16.

Chen, C.-C., & Tsai, J.-L. (2019). Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM. Future Generation Computer Systems, 96, 628–638. https://doi.org/10.1016/j.future.2017.02.028

17.

Chen, Y.-H., Hsu, I.-C., & Lin, C.-C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9–10), 1007–1014. https://doi.org/10.1016/j.jbusres.2009.01.023

18.

Chiu, C.-M., Wang, E. T. G., Fang, Y.-H., & Huang, H.-Y. (2012). Understanding customers’ repeat purchase intentions in B2C ecommerce:the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85–114. https://doi.org/10.1111/j.1365-2575.2012.00407.x

19.

Chong, A. Y. ., Chan. F.T, & Ooi, K. (2012). Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between china and malaysia. Decision Support Systems, 53(1), 34–43.

20.

Christian, M., Dewi, D., Rembulan, G. D., Indriyarti, E. R., Wibowo, S., & Yuniarto, Y. (2021). Business Performance Determinants of Salted Fish Distribution in Kapuk During the COVID-19. Journal of Distribution Science, 19(6), 29–39. https://doi.org/10.15722/jds.19.6.202106.29

21.

Christian, M., Haris, K., Indriyarti, E. R., Wibowo, S., & Sunarno, S. (2021). Service Distribution Strategy on Business Performance of Padang Restaurants in North Jakarta. Journal of Distribution Science, 19(12), 57–69. https://doi.org/10.15722/jds.19.12.202112.57

22.

Christian, M., Pardede, R., & Indriyarti, E. R. (2022). Generation Z in Jakarta’s Attitude Towards COVID-19 Ad Distribution on YouTube. Journal of Distribution Science, 20(3), 13–22. https://doi.org/10.15722/jds.20.03.202203.13

23.

Clemes, M. D., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoptionin Beijing, China. Journal of Retailing and Consumer Services, 21(3), 364–375. https://doi.org/10.1016/j.jretconser.2013.08.003

24.

Crosta, A. Di, Ceccato, I., Marchetti, D., Malva, P. La, Maiella, R., Cannito, L., Cipi, M., Mammarella, N., Palumbo, R., Verrocchio, M. C., Palumbo, R., & Domenico, A. Di. (2021). Psychological factors and consumer behavior during the COVID-19 pandemic. PLOS ONE, 16(8), 1–23. https://doi.org/10.1371/journal.pone.0256095

25.

Dabija, D.-C., Bejan, B. M., & Tipi, N. (2018). Generation X versus Millennials communication behaviour on social media when purchasing food versus tourist services. E & M Ekonomie A Management, 21(1), 191-205, 10.15240/tul/001/2018-1–013.

26.

DelVecchio, D., & Puligadda, S. (2014). The effects of lower prices on perceptions of brand quality: a choice task perspective. Journal of Product & Brand Management, 21(6), 465–474. https://doi.org/10.1108/10610421211264946

27.

Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT)model. Tourism Management, 43, 70–88. https://doi.org/10.1016/j.tourman.2014.01.017

28.

Escobar-Rodríguez, Tomás, & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58–64. https://doi.org/10.1016/j.jairtraman.2013.06.018

29.

Forbes, L. P., & Vespoli, E. M. (2013). Does Social Media Influence Consumer Buying Behavior? An Investigation of Recommendations and Purchases. Journal of Business &Economics Research, 11(2), 107–112. https://doi.org/10.19030/jber.v11i2.7623

30.

Gatautis, R., Kazakeviciute, A., & Tarutis, M. (2014). Controllable Factors Impact on Consumer Online Behaviour. Economics and Management, 19(1), 63–71. https://doi.org/10.5755/j01.em.19.1.5692

31.

Gunawan, F. E., Sondakh, B. L., & Alamsjah, F. (2020). Factors Affecting the User of Online Food Delivery through Mobile Apps. ICIC Express Letters, 14(11), 1069–1081. https://doi.org/10.24507/icicel.14.11.1069

32.

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. https://doi.org/10.1108/IJCHM-06-2019-0595

33.

Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50–64. https://doi.org/10.1108/JHTT-02-2017-0013

34.

Hanafizadeh, P., Behboudi, M., Ilani, M. A., & Kalhor, R. (2012). Why Do Iranians Avoid Shopping on the Internet? International Journal of Online Marketing, 2(2), 44–56. https://doi.org/10.4018/ijom.2012040104

35.

Hoang, H., & Le, T. T. (2020). The Role of Promotion in Mobile Wallet Adoption – A Research in Vietnam. Advances in Science, Technology and Engineering Systems Journal, 5(6), 290–298. https://doi.org/10.25046/aj050635

36.

Hu, L., & Bentler, P. M. (1999). Cutoffcriteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

37.

Hussain, S., Fangwei, Z., Siddiqi, A. F., Ali, Z., & Shabbir, M. S. (2018). Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects. Sustainability, 10(1415), 1–25. https://doi.org/10.3390/su10051415

38.

Ingham, J., Cadieux, J., & Berrada, A. (2015). e-Shopping acceptance: A qualitative and meta-analytic review. Information & Management, 52(1), 44–60.

39.

Jadhav, V., & Khanna, M. (2016). Factors Influencing Online Buying Behavior of College Students: A Qualitative Analysis. The Qualitative Report, 21(1), 1–15. https://doi.org/10.46743/2160-3715/2016.2445

40.

Kim, H.-W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11, 241–252. https://doi.org/10.1016/j.elerap.2011.06.003

41.

Kim, S., Park, G., Lee, Y., & Choi, S. (2016). Customer emotions and their triggers in luxury retail: Understanding the effects of customer emotions before and after entering a luxury shop. Journal of Business Research, 69(12), 5809–5818. https://doi.org/10.1016/j.jbusres.2016.04.178

42.

Ko, E., Phau, I., & Aiello, G. (2016). Luxury brand strategies and customer experiences: Contributions to theory and practice. Journal of Business Research, 69(12), 5749–5752. https://doi.org/10.1016/j.jbusres.2016.04.170

43.

Lee, J. E., & Watkins, B. (2016). YouTube vloggers’ influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69(12), 5753–5760. https://doi.org/10.1016/j.jbusres.2016.04.171

44.

Leerapong, A. (2013). Applying Diffusion of Innovation in Online Purchase Intention through Social Network: A Focus Group Study of Facebook in Thailand. Information Management and Business Review, 5(3), 144–154. https://doi.org/10.22610/imbr.v5i3.1038

45.

Lian, J.-W., & Yen, D. C. (2013). To buy or not to buy experience goods online: Perspective of innovation adoption barriers. Computers in Human Behavior, 29(3), 665–672. https://doi.org/10.1016/j.chb.2012.10.009

46.

Ling, K. C., Chai, L. T., & Piew, T. H. (2010). The Effects of Shopping Orientations, Online Trust and Prior Online Purchase Experience toward Customers’ Online Purchase Intention. International Business Research, 3(3), 63–76. https://doi.org/10.5539/ibr.v3n3p63

47.

Luo, J., Ba, S., & Zhang, H. (2012). The Effectiveness of Online Shopping Characteristics and Well-Designed Websites on Satisfaction. MIS Quarterly, 36(4), 1131–1144. https://doi.org/10.2307/41703501

48.

Mang, C. F., Piper, L. A., & Brown, N. R. (2016). The Incidence of Smartphone Usage among Tourists. International Journal of Tourism Research, 18(6), 591–601. https://doi.org/10.1002/jtr.2076

49.

Melis, K., Campo, K., Breugelmans, E., & Lamey, L. (2015). The Impact of the Multi-channel Retail Mix on Online Store Choice:Does Online Experience Matter? Journal of Retailing, 91(2), 272–288. https://doi.org/10.1016/j.jretai.2014.12.004

50.

Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014, 1–9. https://doi.org/10.1155/2014/165158

51.

Morosan, C., & DeFranco, A. (2016). It’s about time: Revisiting UTAUT2 to examine consumers’ intentionsto use NFC mobile payments in hotels_. International Journal of Hospitality Management, 53, 17–29. https://doi.org/10.1016/j.ijhm.2015.11.003

52.

Nuzulita, N., & Subriadi, A. P. (2020). The role of risk-benefit and privacy analysis to understand different uses of social media by Generations X, Y, and Z in Indonesia. Electronic Journal of Information Systems in Developing Countries, 86(3), 1–17. https://doi.org/10.1002/isd2.12122

53.

Oncioiu, I. (2014). The Impact of Tourist Feedback in the Virtual Community on the Purchase Intention. International Business Research, 7(3), 28–33. https://doi.org/10.5539/ibr.v7n3p28

54.

Otache, I. (2019). The mediating effect of teamwork on the relationship between strategic orientation and performance of Nigerian banks. European Business Review, 31(5), 744–760. https://doi.org/10.1108/EBR-10-2017-0183

55.

Park, S.-B., Lee, Y.-K., & Chung, N. (2013). Why don’t consumers go internet shopping in Korea? Segmentation of consumer lifestyle approach. Behaviour & Information Technology, 32(5), 468–479. https://doi.org/10.1080/0144929X.2012.687771

56.

Pitchay, A. A., Ganesan, Y., Zulkifli, N. S., & Khaliq, A. (2022). Determinants of customers’ intention to use online food delivery application through smartphone in Malaysia. British Food Journal, 124(3), 732–753. https://doi.org/10.1108/BFJ-01-2021-0075

57.

Punj, G. (2011). Effect of Consumer Beliefs on Online Purchase Behavior: The Influence of Demographic Characteristics and Consumption Values. Journal of Interactive Marketing, 25(3), 134–144. https://doi.org/10.1016/j.intmar.2011.04.004

58.

Punj, G. (2012). Income effects on relative importance of two online purchase goals: Saving time versus saving money? Journal of Business Research, 65(5), 634–640. https://doi.org/10.1016/j.jbusres.2011.03.003

59.

Sitar-Taut, D.-A., Mican, D., & Codruta, M. (2020). Customer Behavior in the Prior Purchase Stage – Information Search Versus Recommender Systems. Economic Computation and Economic Cybernetics Studies and Research, 54(13), 59–76. https://doi.org/10.24818/18423264/54.3.20.04

60.

Suhartanto, D., Ali, M. H., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward online food delivery service: the role of e-service quality and food quality. Journal of Foodservice Business Research, 22(1), 81–97. https://doi.org/10.1080/15378020.2018.1546076

61.

Suhartanto, D., Dean, D., Leo, G., & Triyuni, N. N. (2019). Millennial Experience with Online Food Home Delivery: A Lesson from Indonesia. Interdisciplinary Journal of Information, Knowledge, and Management, 14, 277–294. https://doi.org/10.28945/4386

62.

Tan, G. W.-H., & Ooi, K.-B. (2018). Gender and age: Do they really moderate mobile tourism shopping behavior? Telematics and Informatics, 35(6), 1617–1642. https://doi.org/10.1016/j.tele.2018.04.009

63.

Thamizhvanan, A., & Xavier, M. J. (2013). Determinants of customers’ online purchase intention: an empirical study in India. Journal of Indian Business Research, 5(1), 17–32. https://doi.org/10.1108/17554191311303367

64.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

65.

Vinerean, S., Cetina, I., Dumitrescu, L., & Tichindelean, M. (2013). The Effects of Social Media Marketing on Online Consumer Behavior. International Journal of Business and Management, 8(14), 66–79. https://doi.org/10.5539/ijbm.v8n14p66

66.

Willaby, H. W., Costa, D. S. J., Burns, B. D., MacCann, C., & Roberts, R. D. (2015). Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology. Personality and Individual Differences, 84, 73–78. https://doi.org/10.1016/j.paid.2014.09.008

67.

Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237

68.

Wong, C. K. M., Yeung, D. Y., Ho, H. C. Y., Tse, K.-P., & Lam, C.- Y. (2012). Chinese Older Adults’ Internet Use for Health Information. Journal of Applied Gerontology, 33(3), 316–335. https://doi.org/10.1177/0733464812463430

69.

Wu, I.-L. (2013). The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust. International Journal of Information Management, 33(1), 166–176. https://doi.org/10.1016/j.ijinfomgt.2012.09.001

70.

Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162. https://doi.org/10.1016/j.jretconser.2016.12.013

The Journal of Distribution Science