Top

Published in:

2023 | OriginalPaper | Chapter

Factor Accepting Internet of Things (IoT) Among Generation Y

Authors : Saidatul Afifah Auni Saipuddin, Noorshella Che Nawi, Wan Mohd Nadzrol Wan Nasir, Noorul Azwin Md Nasir, Mohd Zubir Md Zin, Bahaaeddin Aleereni

Published in: Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

With the rapid advancements in the Internet technology, many retailers are embracing Internet of things technology in their operation. The usage of IoT is to enhance customer experience and improve efficiency. The rise of usage IoT in retail sector is believed to associate with the increasing number of generation Y in spending online. Therefore, there is urge in investigating factor affecting IoT among generation Y in purchasing online. This study will extend the UTAUT Model by analyzing the perceived risk, perceived trust, interactive communication and attitude towards accepting IoT technology among generation Y.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter E-Agribusiness Description and TAM Adoption to Understand Traders’ Behavioral Intention to Utilize ICT

next chapter The Effect of Digitalization of Cooperative on Better Transparency and Competitive Advantage

Ajzen, I.: Attitudes, Personality and Behavior, 2nd edn. Open University Press-McGraw Hill Education, Berkshire (2005)

An Oracle White Paper, Generation, Y.: The builders of tomorrow business. Oracle financial service, September, Oracle (2009). http://www.oracle.com/us/industries/financial-services/gen-y-builders-wp-163349.pdf

Ardhanari, M., Hadiwidjojo, D., Rahayu, M., Rohman, F.: Consumer behavior in selecting retail format: the perspective of theory of planned behavior. Int. Organ. Sci. Res. J. Bus. Manage. 7, 17–23 (2013)

Ashvin, K.: A Study on the Factors Affecting Consumer Behavior While Shopping at Shopping Malls. Assistant Professor in Management Department JBIT Dehradun (2017)

Assael, H.: Consumer Behavior: A Strategic Approach. Houghton Mifflin Company, Boston (2004)

Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRef

Balabanis, G., Vassileiou, S.: Some attitudinal predictors of home-shopping t through the Internet. J. Mark. Manag. 15, 361–385 (1999)CrossRef

Barsaum, P., Berg, P., Hagman, A., Scandurra, I.: Internet of things technology for remote healthcare–a pilot study. In: Proceedings from the 14th Scandinavian Conference on Health Informatics 2016, Gothenburg, Sweden, vol. 122, pp. 43–48. Linköping University Electronic Press, April 6–7 2016

Beldona, S., Morrison, A., O’Leary, J.: Online shopping motivations and pleasure travel products: a correspondence analysis. Tour. Manage. 26(4), 561–570 (2005)CrossRef

Chen, L.D., Tan, J.: Technology adaptation in e-commerce: key determinants of virtual stores acceptance. Eur. Manag. J. 22(1), 74–86 (2004)CrossRef

Chen, Y., Hsu, I., Lin, C.: Website attributes that increase consumer purchase intention: a conjoint analysis. J. Bus. Res. 63(9–10), 1007–1014 (2010)CrossRef

Childers, T.L., Carr, C.L., Peck, J., Carson, S.: Hedonic and utilitarian motivations for online retail shopping behavior. J. Retail. 77(4), 511–535 (2001)CrossRef

Chong, H.T.: Factors affecting online shopping of purchasing apparels among young adults (Doctoral dissertation, UTAR) (2014)

Cimperman, M., Makovec Brenčič, M., Trkman, P.: Analyzing older users’ home telehealth services acceptance behavior—applying an extended UTAUT model. Int. J. Med. Informatics 90, 22–31 (2016). https://doi.org/10.1016/j.ijmedinf.2016.03.002

Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man Mach. Stud. 38(3), 475–487 (1993)CrossRef

Ducoffe, R.H.: Advertising value and advertising on the web. J. Advert. Res. 36(5), 21–35 (1996)

Evelyn, T.B.H., Eva, L.W.L., Robin, C.: Generation Y and choice of mobile service provider: a study on purchasing decisions in choosing a mobile service provider. Paper Provided at International Conference on Business and Economic Research (2011). http://www.internationalconference.com.my/proceeding/2ndicber2011_proceeding/226-2nd%20ICBER%202011%20PG%201083-1101%20Generation%20Y.pdf

Farris, R., Chong, F., Dunning, D., Generation, Y.: Purchasing power and implications for marketing. Acad. Mark. Stud. J. 6(2), 89–101 (2002)

Fiore, A.M., Jin, H.J.: Influence of image interactivity technology on approach responses towards an online retailer. Internet Res. Electron. Netw. Appl. Policy 13(1), 38–48 (2003)CrossRef

Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)

Ganesh, J., Reynolds, K., Luckett, M., Pomirleanu, N.: Online shopper motivations, and e-store attributes: an examination of online patronage behavior and shopper typologies. J. Retail. 86(1), 106–115 (2010)CrossRef

Gehrke, D., Turban, E.: Determinants of successful website design: Relative importance and recommendations for effectiveness. In: Proceedings of the 32nd Hawaii International Conference on System Sciences, pp. 1–8 (1999)

Ghalandri, K. The effect of performance expectancy, effort expectancy, social influence and facilitating conditions on acceptance of E-Banking services in Iran: the moderating role of age and gender. Middle-East J. Sci. Res. 12(6) 801–807 (2012)

Greene, P.: Generation Y-Behind the housewares buy. Housewares market watchs, International Housewares associations (2004)

Guo, B., Zhang, D., Wang, Z., Yu, Z., Zhou, X.: Opportunistic IoT: exploring the harmonious interaction between human and the internet of things. J. Netw. Comput. Appl. 36(6), 1531–1539 (2013). https://doi.org/10.1016/j.jnca.2012.12.028

Ha, S., Stoel, L.: Consumer e-shopping acceptance: antecedents in a technology acceptance model. J. Bus. Res. 62, 565–571 (2009)CrossRef

Hausman, A.V., Siekpe, J.S.: The effect of web interface features on consumer online purchase intentions. J. Bus. Res. 62(1), 5–13 (2009)CrossRef

Heijden, H., Verhagen, T.: Online store image: conceptual foundations and empirical measurement. Inf. Manage. 41(5), 609–617 (2004)CrossRef

Inman, J.J., Nikolova, H.: Shopper-facing retail technology: a retailer adoption decision framework incorporating shopper attitudes and privacy concerns. J. Retail. 93(1), 7–28 (2017). https://doi.org/10.1016/j.jretai.2016.12.006CrossRef

Jarvenpaa, S.L., Todd, P.A.: Consumer reactions to electronic shopping on the World Wide Web. Int. J. Electron. Commerce 1(2), 59–88 (1996–1997)

Kijsanayotin, B., Pannarunothai, S., Speedie, S.M.: Factors influencing health information technology adoption in Thailand’s community health centers: applying the UTAUT model. Int. J. Med. Informatics. 78(6), 404–416 (2009). https://doi.org/10.1016/j.ijmedinf.2008.12.005

Kim, J.U., Kim, W.J., Park, S.C.: Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Comput. Hum. Behav. 26(5), 1208–1222 (2010)CrossRef

Korzaan, M.L.: Going with the flow: prediction online purchase intentions. J. Comput. Inf. Syst. 43(4), 25–31 (2003)

Kotler, P., Armstrong, G.: Principles of Marketing, p. 187. Prentice Hall, Englewood Cliffs (2010)

Lazarevic, V.: Encouraging brand loyalty in fickle generation Y consumers. Young consumers (2012)

Lee, H.H., Chang, E.: Consumer attitudes toward online mass customization: an application of extended technology acceptance model. J. Comput.-Mediat. Commun. 16(2), 171–200 (2011)CrossRef

Liker, J.K., Sindi, A.A.: User acceptance of expert systems: a test of the theory of reasoned action. J. Eng. Tech. Manage. 14, 147–173 (1997)CrossRef

Lim, N.: Consumers’ perceived risk: sources versus consequences. Electron. Commer. Res. Appl. 2(3), 216–228 (2003)CrossRef

Liu, X., Qiu, T., Han, M., Li, M., Zhang, Y.: SRTS: A self-recoverable time synchronization for sensor networks of healthcare IoT. Comput. Netw. 129, 481–492 (2017). https://doi.org/10.1016/j.comnet.2017.05.011

Mandhlazi, L., Dhurup, M., Mafini, C.: Generation Y consumer shopping styles: evidence from South Africa. Mediterr. J. Soc. Sci. 4(14), 153–153 (2013)

Martin, C.A.: From high maintenance to high productivity: what managers need to know about Generation Y. Industrial and commercial training (2005)

Mathieson, K., Peacock, E., Chinn, W.C.: Extending the technology acceptance model: the influence of perceived user resources. Data Base Adv. Inf. Syst. 32(3), 86–112 (2001)CrossRef

Meuter, M.L., Ostrom, A.L., Bitner, M.J., Roundtree, R.: The influence of technology anxiety on consumer use and experiences with self-service technologies. J. Bus. Res. 56(11), 899–906 (2003)

Mohamad Nor, N., Arokiasamy, L., Balaraman, R.: The influence of internet of things on employee’s engagement among generation Y at the workplace. SHS Web Conf. 56, 03003 (2018).https://doi.org/10.1051/shsconf/20185603003

Moon, J.M., Kim, Y.G.: Extending the TAM for a World-Wide-Web context. Inf. Manage. 28, 217–230 (2001)CrossRef

O’Cass, A., Fenech, T.: Web retailing adoption: exploring the nature of Internet users web retailing behaviour. J. Retail. Consum. Serv. 10, 81–94 (2003)CrossRef

Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., Robres, E.: User acceptance of mobile apps for restaurants: an expanded and extended UTAUT-2. Sustainability 11(4), 1210 (2019). https://doi.org/10.3390/su11041210

Parment, A.: Generation Y vs. Baby Boomers: shopping behavior, buyer involvement and implications for retailing. J. Retail. and Consum. Serv. 20(2), 189–199 (2013)

Pricewaterhouse Coopers, P.: Collection of statistical information on Green Public Procurement in the EU. Report on data collection results (2009)

Retail Research.: Online Retailing: Britain and Europe (2012). http://www.retailresearch.org/onlineretailing.php

Riley, F.D., Scarpi, D., Manaresi, A.: Drivers and barriers to online shopping: the interaction of product, consumer, and retailer factors. In: Advances in Electronic Marketing, pp. 45–66. IGI Global (2005)

Schaupp, L.C., Bélanger, F.: A conjoint analysis of online consumer satisfaction. J. Electron. Commer. Res. 6(2), 95–111 (2005)

Schiffman, L., Kanuk, L., Wisenblit, J.: Consumer Behavior, 7th edn. Prentice-Hall, Inc. (2000)

Shaheen, M., Cheng, B.L., Lee, H.S.: A study of e-shopping intention in Malaysia: the influence of generation X & Y. Aust. J. Basic Appl. Sci. 6(8), 28–35 (2012)

Shim, S., Drake, M.F.: Consumer intention to utilize electronic shopping. J. Direct Mark. 4(3), 22–33 (1990)CrossRef

Sox, C.B., Kline, S.F., Crews, T.B.: Identifying best practices, opportunities and barriers in meeting planning for Generation Y. Int. J. Hospitality Manage. 36, 244–254 (2014)

Tan, L., Wang, N.: Future internet: the Internet of Things. In: 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), vol. 5, pp. V5–376 (2010)

Tsourela, M., Nerantzaki, D.-M.: An internet of things (IoT) acceptance model. assessing consumer’s behavior toward iot products and applications. Future Internet 12(11), 191 (2020). https://doi.org/10.3390/fi12110191

Udo, G.J., Marquis, G.P.: Effective commercial web site design: an empirical study. In: Proceedings of the 2000 IEEE Engineering Management Society, pp. 313–318, August 2000

Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Quart. 27(3), 425–478 (2003). https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J., Xu, X.: Unified theory of acceptance and use of technology: a synthesis and the road ahead. J. Assoc. Inf. Syst. 17(5), 328–376 (2016). https://doi.org/10.17705/1jais.00428

Wang, X.F., Liu, X., Feng, X.: Study and application of the IOT technology in railway. Adv. Mater. Res. 694–697, 3329–3332 (2013). https://doi.org/10.4028/www.scientific.net/amr.694-697.3329

Wolfinbarger, M., Gilly, M.C.: eTailQ: dimensionalizing, measuring and predicting etail quality. J. Retail. 79, 183–198 (2003)CrossRef

Yildiz Durak, H.: Examining the acceptance and use of online social networks by preservice teachers within the context of unified theory of acceptance and use of technology model. J. Comput. High. Educ. 31(1), 173–209 (2018). https://doi.org/10.1007/s12528-018-9200-6

Yoh, E., Damhorst, M.L., Sapp, S., Lazniak, R.: Consumer adoption of the Internet: the case of apparel shopping. Psychol. Mark. 20, 1095–1118 (2003)CrossRef

Zhou, T., Lu, Y., Wang, B.: Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Hum. Behav. 26(4), 760–767 (2010). https://doi.org/10.1016/j.chb.2010.01.013

Title: Factor Accepting Internet of Things (IoT) Among Generation Y
Authors: Saidatul Afifah Auni Saipuddin
Noorshella Che Nawi
Wan Mohd Nadzrol Wan Nasir
Noorul Azwin Md Nasir
Mohd Zubir Md Zin
Bahaaeddin Aleereni
Publisher: Springer International Publishing
Book: Impact of Artificial Intelligence, and the Fourth Industrial Revolution on Business Success
Print ISBN: 978-3-031-08092-0

Electronic ISBN: 978-3-031-08093-7

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-08093-7_7

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partners