Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Analysis of Factors Influencing the Adoption of Artificial Intelligence for Crime Management Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Customers Interest in Buying an Electric Car: An Analysis of the Indian Market

Authors : M. Prabaharan, M. Selvalakshmi

Published in: Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

In the automobile industry, an electric car is a vehicle impelled by the electric motors utilizing energy stored in refillable batteries, as a replacement of diesel or petrol engine. The electric car has predicted to rule the Indian market in the next few years. The study aims to know the factors which make interest in buying the electric car. Integrating the Technological acceptance and diffusion of innovation model the present research proposed extended technology acceptance model. The data were collected from 600 non-commercial car owners to test the proposed model. The findings demonstrate the perceived usefulness, perceived ease of us, and attitude are positively influence the customers’ interest to buy the electric car. The relative is one of the innovation factors which have a positive effect on interest to buy the electric car. The result also shows that majority of customers are interested to buy Indian brand cars which will have a low-price range.

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 A Study on Attributes of Websites with Specific Reference to Online Purchase Intentions of Baby Products in Chennai
next chapter The Impact of Digital Marketing on Exploratory Buying Behavior Tendencies (EBBT)
Appendix
Available only for authorised users
Literature
1.
2.
3.
4.
5.
6.
Fishbein, M., Ajzen, I.: Belief, attitude, intention, and behavior: an introduction to theory and research (1977)
7.
Davis, F.D.: A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Massachusetts Institute of Technology (1985)
8.
Silva, P.: Davis’ technology acceptance model (TAM) (1989). In Information seeking behavior and technology adoption: Theories and trends, pp. 205–219. IGI Global (2015)
9.
Lee, Y.H., Hsieh, Y.C., Hsu, C.N.: Adding innovation diffusion theory to the technology acceptance model: supporting employees’ intentions to use e-learning systems. J. Educ. Technol. Soc. 14(4), 124–137 (2011)
10.
Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995)CrossRef
11.
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)CrossRef
12.
Williams, L.R., Magee, G.D., Suzuki, Y.: A multidimensional view of EDI: testing the value of EDI participation to firms. J. Bus. Logist. 19(2), 73 (1998)
13.
Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man Mach. Stud. 38, 475–487 (1993)CrossRef
14.
Mathwick, C., Malhotra, N., Rigdon, E.: Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment☆. J. Retail. 77(1), 39–56 (2001)CrossRef
15.
Ma, Y.J., Gam, H.J., Banning, J.: Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model. Fash. Text. 4(1), 3 (2017)
16.
Suki, N.M., Suki, N.M.: Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. J. Inf. Technol. Manag. 22(1), 1–7 (2011)
17.
Altanopoulou, P., Tselios, N.: Assessing acceptance toward wiki technology in the context of higher education. Int. Rev. Res. Open Distrib. Learn. IRRODL 18(6), 127–149 (2017)
18.
Min, S., So, K.K.F., Jeong, M.: Consumer adoption of the Uber mobile application: insights from diffusion of innovation theory and technology acceptance model. J. Travel Tour. Mark. 36(7), 770–783 (2019)CrossRef
19.
Tu, J.C., Yang, C.: Key factors influencing consumers’ purchase of electric vehicles. Sustainability 11(14), 3863 (2019)CrossRef
20.
Kim, Y.H.: A global analysis and market strategy in the electric vehicle battery industry. Doctoral dissertation, Massachusetts Institute of Technology (2014)
21.
Ayeh, J.K.: Travellers’ acceptance of consumer-generated media: an integrated model of technology acceptance and source credibility theories. Comput. Hum. Behav. 48, 173–180 (2015)CrossRef
22.
Joo, J., Sang, Y.: Exploring Koreans’ smartphone usage: an integrated model of the technology acceptance model and uses and gratifications theory. Comput. Hum. Behav. 29(6), 2512–2518 (2013)CrossRef
23.
Persico, D., Manca, S., Pozzi, F.: Adapting the Technology Acceptance Model to evaluate the innovative potential of elearning systems. Comput. Hum. Behav. 30, 614–622 (2014)CrossRef
24.
Van der Heijden, H., Verhagen, T., Creemers, M.: Understanding online purchase intentions: contributions from technology and trust perspectives. Eur. J. Inf. Syst. 12(1), 41–48 (2003)CrossRef
25.
Rezaei, R., Ghofranfarid, M.: Rural households’ renewable energy usage intention in Iran: extending the unified theory of acceptance and use of technology. Renew. Energy 122, 382–391 (2018)CrossRef
26.
Wang, Y.S., Wu, S.C., Lin, H.H., Wang, Y.M., He, T.R.: Determinants of user adoption of web ‘‘Automatic Teller Machines’: an integrated model of’ Transaction Cost Theory ‘and’ Innovation Diffusion Theory’. Serv. Ind. J. 32(9), 1505–1525 (2012)CrossRef
27.
Weng, F., Yang, R.J., Ho, H.J., Su, H.M.: A TAM-based study of the attitude towards use intention of multimedia among school teachers. Appl. Syst. Innov. 1(3), 36 (2018)CrossRef
28.
Agag, G., El-Masry, A.A.: Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: an integration of innovation diffusion theory and TAM with trust. Comput. Hum. Behav. 60, 97–111 (2016)CrossRef
29.
Agarwal, R., Prasad, J.: A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf. Syst. Res. 9, 204–215 (1998)CrossRef
30.
Miller, R.L.: Rogers’ innovation diffusion theory (1962, 1995). In Information seeking behavior and technology adoption: Theories and trends, pp. 261–274. IGI Global (2015)
31.
Rogers, E.M., Shoemaker, F.: Diffusion of Innovation: A Cross-Cultural Approach. Free Press, New York (1983)
32.
Rogers, E.M.: Diffusion of Innovations. The Free Press, New York (1983)
33.
Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2, 192–222 (1991)CrossRef
34.
Chen, L., Gillenson, M.L., Sherrell, D.L.: Enticing online consumers: an extended technology acceptance perspective. Inf. Manag. 39, 705–709 (2002)CrossRef
35.
Amin, M., Rezaei, S., Abolghasemi, M.: User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Bus. Rev. Int. 5, 258–274 (2014)CrossRef
36.
Bandara, U.C., Amarasena, T.S.M.: Impact of relative advantage, perceived behavioural control and perceived ease of use on intention to adopt with solar energy technology in Sri Lanka. In: 2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE), pp. 1–9. IEEE, October 2018
37.
Ahmad, A., Rashid, M., Omar, N.A., Alam, S.S.: Perceptions on renewable energy use in Malaysia: mediating role of attitude. Jurnal Pengurusan (UKM J. Manag.), 41, 123–131 (2014)
38.
Chiu, Y.C., Tzeng, G.H.: The market acceptance of electric motorcycles in Taiwan experience through a stated preference analysis. Transp. Res. Part D Transp. Environ. 4(2), 127–146 (1999)CrossRef
39.
Mohd Amir, R.I., Mohd, I.H., Saad, S., Abu Seman, S.A., Tuan Besar, T.B.H.: Perceived ease of use, perceived usefulness, and behavioral intention: the acceptance of crowdsourcing platform by using technology acceptance model (TAM). In: Kaur, N., Ahmad, M. (eds.) Charting a Sustainable Future of ASEAN in Business and Social Sciences, pp. 403–410. Springer, Singapore (2020). https://​doi.​org/​10.​1007/​978-981-15-3859-9_​34CrossRef
40.
Firdaus, H.M.S., et al.: Acceptance of Electric Vehicle based on Pricing and Charging Station (2018)
41.
Helveston, J.P., Liu, Y., Feit, E.M., Fuchs, E., Klampfl, E., Michalek, J.J.: Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the US and China. Transp. Res. Part A Policy Pract. 73, 96–112 (2015)CrossRef
42.
Workman, M.: New media and the changing face of information technology use: the importance of task pursuit, social influence, and experience. Comput. Hum. Behav. 31, 111–117 (2014)CrossRef
43.
Lieven, T., Mühlmeier, S., Henkel, S., Waller, J.F.: Who will buy electric cars? An empirical study in Germany. Transp. Res. Part D Transp. Environ. 16(3), 236–243 (2011)CrossRef
44.
Hulin, C., Netemeyer, R., Cudeck, R.: Can a reliability coefficient be too high? J. Consum. Psychol. 10(1), 55–58 (2001)CrossRef
45.
Hong, W., Thong, J.Y., Wong, W.M., Tam, K.Y.: Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. J. Manag. Inf. Syst. 18(3), 97–124 (2002)CrossRef
46.
Kabengele, B.O., Kayembe, J.M.N., Kayembe, P.K., Kashongue, Z.M., Kaba, D.K., Akilimali, P.Z.: Factors associated with uncontrolled asthma in adult asthmatics in Kinshasa, Democratic Republic of Congo. PloS One 14(4), e0215530 (2019)CrossRef
47.
Huang, L.S., Huang, C.F.: A study of using technology acceptance model and its effect on improving road pavement smoothness in Taiwan. EURASIA J. Math. Sci. Technol. Educ. 13(6), 2181–2195 (2017)
48.
Metadata
Title
Customers Interest in Buying an Electric Car: An Analysis of the Indian Market
Authors
M. Prabaharan
M. Selvalakshmi
Copyright Year
2020
Book
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

Print ISBN: 978-3-030-64848-0

Electronic ISBN: 978-3-030-64849-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-64849-7_44

Premium Partner

    Image Credits