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2024 | OriginalPaper | Buchkapitel

Determinants of COVID-19 Mobile Advertising Acceptance Among Generation Z in Jabodetabek

verfasst von : Michael Christian, Henilia Yulita, Eko Retno Indriyarti, Suryo Wibowo, Sunarno Sunarno

Erschienen in: AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises

Verlag: Springer Nature Switzerland

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Abstract

The advancement of digital technology and its applications has influenced user behavior, which varies depending on acceptance decisions. Looking back to when the trend of COVID-19 cases was still high, it is hoped that information about this case, including information about handling measures, can be widely utilized. Younger generations, such as Generation Z, are more open to accepting and even testing out new applications as members of the technology user community. This was also raised in this study, where it was determined that the determinants of receiving COVID-19 information in the form of mobile advertising for this group needed to be investigated. These determinants are built using the PLS-SEM framework paradigm. Quantitative research is conducted using surveys. The study included 170 Generation Z members from Jabodetabek who had seen COVID-19 mobile advertisements. According to the study’s findings, generation Z favors the presence of mobile advertising. This group is unaffected by the environment’s role in absorbing COVID-19 information via mobile advertising. This shows that while mobile advertising can provide benefits and entertainment, this group prefers to receive information. The use of sample criteria that are limited to one generation is one limitation of this study.

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Vorheriges Kapitel Factors Affecting the Use of Telemedicine: An Empirical Analysis

Nächstes Kapitel The Impact of Digitalization on Human Resource Management: Challenges and Strategies

Pahlevi, R.: Nilai Belanja Iklan (Semester I 2019–2022). Databoks. https://databoks.katadata.co.id/datapublish/2022/08/12/nielsen-belanja-iklan-tumbuh-7-di-semester-i-2022-iklan-tv-mendominasi (2022)

Priporas, C.-V., Stylos, N., Kamenidou, I.: City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: predictors of city-related social media engagement. J. Bus. Res. 14, 1–11 (2019). https://doi.org/10.1016/j.jbusres.2019.05.019CrossRef

Priporas, C.-V., Stylos, N., Fotiadis, A.K.: Generation Z consumers’ expectations of interactions in smart retailing: a future agenda. Comput. Hum. Behav. 77, 374–381 (2017). https://doi.org/10.1016/j.chb.2017.01.058CrossRef

Yussof, F.M., Harun, A., Norizan, S., Durani, N., Jamil, I., Salleh, S.M.: The influence of social media consumption on gen Z consumers’ attitude. J. Fund. Appl. Sci. 10(65), 1288–1299 (2018). https://doi.org/10.4314/jfas.v10i6s.86CrossRef

Abdullah, A., Ismail, M.M., Albani, A.: At-risk generation Z: values, talents and challenges. Int. J. Asian Soc. Sci. 8(7), 373–378 (2018)CrossRef

Dolot, A.: The characteristic of generation Z. E-Mentor 12, 44–50 (2018)CrossRef

Nasution, R.A., Arnita, D., Aghniadi, S.: The acceptance of mobile advertising: a social or personal matter? Int. J. Internet Market. Advert. 15(1), 84–103 (2021). https://doi.org/10.1504/IJIMA.2021.112789CrossRef

Merisavo, M., Kajalo, S., Karjaluoto, H., Virtanen, V., Salmenkivi, S., Raulas, M., Leppäniemi, M.: An empirical study of the drivers of consumer acceptance of mobile advertising. J. Interact. Advert. 7(2), 41–50 (2007). https://doi.org/10.1080/15252019.2007.10722130CrossRef

Shimp, T.A., Kavas, A.: The theory of reasoned action applied to coupon usage. J. Consum. Res. 11(3), 795–809 (1984)CrossRef

10.

Wibowo, S., Sunarno, S., Gasjirin, J., Christian, M., Indriyarti, E.R.: Psychological and organizational factors impacting job satisfaction during the COVID-19 pandemic: a study on similar exposure groups in Indonesia. Acta Med. Philippina 3, 1–11 (2023)

11.

Varnali, K., Toker, A.: Mobile marketing research: the-state-of-the-art. Int. J. Inform. Manag. 30(2), 144–151 (2010). https://doi.org/10.1016/j.ijinfomgt.2009.08.009CrossRef

12.

Martí Parreño, J., Sanz-Blas, S., Ruiz-Mafé, C., Aldás-Manzano, J.: Key factors of teenagers’ mobile advertising acceptance. Ind. Manag. Data Syst. 113(5), 732–749 (2013). https://doi.org/10.1108/02635571311324179CrossRef

13.

Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Dec. Process. 50(2), 179–211 (1991). https://doi.org/10.1016/0749-5978(91)90020-TCrossRef

14.

Bauer, H.H., Barnes, S.J., Reichardt, T., Neumann, M.: Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study. J. Electr. Commer. Res. 6, 181–192 (2005)

15.

Kuo, Y.-F., Yen, S.-N.: Towards an understanding of the behavioral intention to use 3G mobile value-added services. Comput. Hum. Behav. 25(1), 103–110 (2009). https://doi.org/10.1016/j.chb.2008.07.007CrossRef

16.

Soroa-Koury, S., Yang, K.C.C.: Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective. Telemat. Inform. 27(1), 103–113 (2010). https://doi.org/10.1016/j.tele.2009.06.001CrossRef

17.

Tsang, M.M., Ho, S.-C., Liang, T.-P.: Consumer attitudes toward mobile advertising: an empirical study. Int. J. Electr. Commer. 8(3), 65–78 (2004). https://doi.org/10.1080/10864415.2004.11044301CrossRef

18.

Xu, H., Oh, L.-B., Teo, H.-H.: Perceived effectiveness of text vs. multimedia location-based advertising messaging. Int. J. Mob. Commun. 7(2), 154–177 (2009). https://doi.org/10.1504/IJMC.2009.022440CrossRef

19.

Radder, L., Pietersen, J., Wang, H., Han, X.: Antecedents of South African high school pupils acceptance of Universities SMS advertising. Int. Bus. Econ. Res. J. 9, 551 (2010)

20.

Muk, A., Babin, B.: U.S. consumers’ adoption-non-adoption of mobile SMS advertising. Int. J. Mobile Market. 1, 21–29 (2006)

21.

Indriyarti, E.R., Christian, M., Yulita, H., Ruminda, M., Sunarno, S., Wibowo, S.: Online food delivery app distribution and determinants of Jakarta’s Gen Z spending habits. J. Distr. Sci. 20(7), 73–86 (2022)

22.

Christian, M., Pardede, R., Indriyarti, E.R.: Generation Z in Jakarta’s attitude towards COVID-19 ad distribution on YouTube. J. Distr. Sci. 20(3), 13–22 (2022)

23.

San-Martín, S., Prodanova, J., López Catalán, B.: What makes services customers say “buy it with a mobile phone”? J. Serv. Market. 30(6), 601–614 (2016). https://doi.org/10.1108/JSM-02-2015-0081CrossRef

24.

Nysveen, H., Pedersen, P.E., Thorbjørnsen, H.: Intentions to use mobile services: antecedents and cross-service comparisons. J. Acad. Market Sci. 33(3), 330 (2005). https://doi.org/10.1177/0092070305276149CrossRef

25.

Srisawatsakul, C., Papasratorn, B.: Factors affecting consumer acceptance mobile broadband services with add-on advertising: Thailand case study. Wireless Person. Commun. 69(3), 1055–1065 (2013). https://doi.org/10.1007/s11277-013-1065-4CrossRef

26.

Kim, K.K., Shin, H.K., Kim, B.: The role of psychological traits and social factors in using new mobile communication services. Electr. Commer. Res. Appl. 10(4), 408–417 (2011). https://doi.org/10.1016/j.elerap.2010.11.004CrossRef

27.

Kulviwat, S., Bruner, G.C., Al-Shuridah, O.: The role of social influence on adoption of high tech innovations: the moderating effect of public/private consumption. J. Bus. Res. 62(7), 706–712 (2009). https://doi.org/10.1016/j.jbusres.2007.04.014CrossRef

28.

Nwagwu, W.E., Famiyesin, B.: Acceptance of mobile advertising by consumers in public service institutions in Lagos, Nigeria. Electr. Lib. 34(2), 265–288 (2016). https://doi.org/10.1108/EL-09-2014-0169CrossRef

29.

Olarte, C., Borondo, J., Reinares Lara, E.: Cognitive-affective model of acceptance of mobile phone advertising. E + M Ekonomie Manag. 19, 134–148 (2016)CrossRef

30.

Dix, S., Jamieson, K., Shimul, A.S.: SMS advertising the Hallyu way: drivers, acceptance and intention to receive. Asia Pacif. J. Market. Log. 28(2), 146 (2016). https://doi.org/10.1108/APJML-09-2015-0146CrossRef

31.

Choi, Y.K., Hwang, J.-S., McMillan, S.J.: Gearing up for mobile advertising: a cross-cultural examination of key factors that drive mobile messages home to consumers. Psychol. Market. 25(8), 756–768 (2008). https://doi.org/10.1002/mar.20237CrossRef

32.

Yang, K.C.C.: Exploring factors affecting consumer intention to use mobile advertising in Taiwan. J. Int. Consum. Market. 20(1), 33–49 (2007). https://doi.org/10.1300/J046v20n01_04CrossRef

33.

Okazaki, S., Taylor, C.: What is SMS advertising and why do multinationals adopt it? Answers from an empirical study in European markets. J. Bus. Res. 61, 4–12 (2008). https://doi.org/10.1016/j.jbusres.2006.05.003CrossRef

34.

Dix, S., Phau, I., Jamieson, K., Shimul, A.S.: Investigating the drivers of consumer acceptance and response of SMS advertising. J. Promot. Manag. 23(1), 62–79 (2017). https://doi.org/10.1080/10496491.2016.1251526CrossRef

35.

Maduku, D.K., Mpinganjira, M., Duh, H.: Understanding mobile marketing adoption intention by South African SMEs: a multi-perspective framework. Int. J. Inform. Manag. 36(5), 711–723 (2016). https://doi.org/10.1016/j.ijinfomgt.2016.04.018CrossRef

36.

Yeun Chun, K., Hee Song, J., Hollenbeck, C.R., Lee, J.-H.: Are contextual advertisements effective? Int. J. Advert. 33(2), 351–371 (2014). https://doi.org/10.2501/IJA-33-2-351-371CrossRef

37.

Pollay, R., Mittal, B.: Here’s the beef: factors, determinants, and segments in consumer criticism of advertising. J. Market. 57, 99–114 (1993). https://doi.org/10.2307/1251857CrossRef

38.

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

39.

Willaby, H.W., Costa, D.S.J., Burns, B.D., MacCann, C., Roberts, R.D.: Testing complex models with small sample sizes: a historical overview and empirical demonstration of what partial least squares (PLS) can offer differential psychology. Person. Individ. Differ. 84(10), 73–78 (2015). https://doi.org/10.1016/j.paid.2014.09.008CrossRef

40.

Wolf, E.J., Harrington, K.M., Clark, S.L., Miller, M.W.: Sample size requirements for structural equation models: an evaluation of power, bias, and solution propriety. Educ. Psychol. Measur. 73(6), 913–934 (2013). https://doi.org/10.1177/0013164413495237CrossRef

41.

Hair, J., Hollingsworth, C.L., Randolph, A.B., Chong, A.Y.L.: An updated and expanded assessment of PLS-SEM in information systems research. Ind. Manag. Data Syst. 117(3), 442–458 (2017). https://doi.org/10.1108/IMDS-04-2016-0130CrossRef

42.

Christian, M., Yulita, H., Girsang, L.R., Wibowo, S., Indriyarti, E.R., Sunarno, S.: The impact of cashless payment in application-based transportation on gen Z user behavior in Jakarta. In: Proceedings of the 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), pp. 1–6 (2023). https://doi.org/10.1109/ITIKD56332.2023.10100198

43.

Bassiouni, D.H., Hackley, C.: ‘Generation Z’ children’s adaptation to digital consumer culture: a critical literature review. J. Custom. Behav. 13(2), 113–133 (2014). https://doi.org/10.1362/147539214X14024779483591CrossRef

44.

Memon, A.H., Rahman, I.A.: SEM-PLS analysis of inhibiting factors of cost performance for large construction projects in Malaysia: perspective of clients and consultants. Sci. World J. 2014(165158), 1–9 (2014). https://doi.org/10.1155/2014/165158CrossRef

45.

Barati, M., Taheri-Kharameh, Z., Farghadani, Z., Rásky, É.: Validity and reliability evaluation of the persian version of the heart failure-specific health literacy scale. Int. J. Commun. Based Nurs. Midwifery 7(3), 222–230 (2019)

46.

Christian, M., Dewi, D., Rembulan, G.D., Indriyarti, E.R., Wibowo, S., Yuniarto, Y.: Business performance determinants of salted fish distribution in kapuk during the COVID-19. J. Distr. Sci. 19(6), 29–39 (2021)

47.

Hussain, S., Fangwei, Z., Siddiqi, A.F., Ali, Z., Shabbir, M.S.: Structural equation model for evaluating factors affecting quality of social infrastructure projects. Sustainability 10(1415), 1–25 (2018). https://doi.org/10.3390/su10051415CrossRef

48.

Hu, L., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 6(1), 1–55 (1999). https://doi.org/10.1080/10705519909540118CrossRef

49.

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

50.

Christian, M., Haris, K., Indriyarti, E.R., Wibowo, S., Sunarno, S.: Service distribution strategy on business performance of padang restaurants in North Jakarta. J. Distrib. Sci. 19(12), 57–69 (2021)

51.

Ali, G.A., Hilman, H., Gorondutse, A.H.: Effect of entrepreneurial orientation, market orientation and total quality management on performance evidence from Saudi SMEs. Benchmark. Int. J. 27(4), 1503–1531 (2020). https://doi.org/10.1108/BIJ-08-2019-0391CrossRef

52.

Yulita, H., Jonathan, V., Yuniarto, Y., Christian, M., Indriyarti, E., Wibowo, S.: The role of affective commitment in mediating the relationship between authentic leadership and organizational learning at chicken-based food processing company in Indonesia. In: Proceedings of the 1st International Conference on Emerging Issues in Humanity Studies and Social Sciences—ICE-HUMS, pp. 453–457 (2022). https://doi.org/10.5220/0010753700003112

53.

Taherdoost, H.: A review of technology acceptance and adoption models and theories. Proced. Manuf. 22, 960–967 (2018). https://doi.org/10.1016/j.promfg.2018.03.137CrossRef

54.

Ajzen, I., Fishbein, M.: Attitudes and the attitude-behavior relation: reasoned and automatic processes. Eur. Rev. Soc. Psychol. 11(1), 1–33 (2000). https://doi.org/10.1080/14792779943000116CrossRef

55.

Eagly, A.H., Chaiken, S.: Attitude structure and function. In: The Handbook of Social Psychology, 4th ed., pp. 269–322. McGraw-Hill, New York (1998)

56.

Christian, M., Girsang, L., Yulita, H.: Measuring ease of use aspects of shopee usage behavior during pandemic using PLS-SEM approach. In: Proceedings of the 1st International Conference on Emerging Issues in Humanity Studies and Social Sciences—ICE-HUMS, pp. 192–197 (2022). https://doi.org/10.5220/0010750000003112

57.

Indriyarti, E.R., Christian, M., Yulita, H., Aryati, T., Arsjah, R.J.: Digital bank channel distribution: predictors of usage attitudes in Jakarta’s Gen Z. J. Distrib. Sci. 21(2), 21–34 (2023)

58.

Christian, M., Wibowo, S., Indriyarti, E.R., Sunarno, S., Yuniarto, Y.: Do service quality and satisfaction affect the intention of using application-based land transportation? A study on generation YZ in Jakarta BT—the implementation of smart technologies for business success and sustainability: during COVID-19 Crises in D. In: Hamdan, A., Shoaib, H.M., Alareeni, B., Hamdan, R. (eds.) The Implementation of Smart Technologies for Business Success and Sustainability, pp. 737–746. Springer International Publishing, New York (2023). https://doi.org/10.1007/978-3-031-10212-7_60

59.

Khan, M.N., Allil, K.: Determinants of mobile advertising adoption: a comparative study of India and Syria. Int. J. Mobile Market. 5, 41–59 (2010)

60.

Christian, M., Yulita, H., Yuniarto, Y., Wibowo, S., Indriyarti, E.R., Sunarno, S.: Resistant to technology and digital banking behavior among Jakarta’s generation Z. In: Proceedings of the 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), pp. 1–6 (2023). https://doi.org/10.1109/ITIKD56332.2023.10099594

Titel: Determinants of COVID-19 Mobile Advertising Acceptance Among Generation Z in Jabodetabek
verfasst von: Michael Christian
Henilia Yulita
Eko Retno Indriyarti
Suryo Wibowo
Sunarno Sunarno
Verlag: Springer Nature Switzerland
Buch: AI and Business, and Innovation Research: Understanding the Potential and Risks of AI for Modern Enterprises
Print ISBN: 978-3-031-42084-9

Electronic ISBN: 978-3-031-42085-6

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-42085-6_4

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