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2018 | OriginalPaper | Buchkapitel

Are Users All the Same? – A Comparative International Analysis of Digital Technology Adoption

verfasst von: Stefan Hopf, Arnold Picot

Erschienen in: Homo Connectus

Verlag: Springer Fachmedien Wiesbaden

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Abstract

Rapid technological advances have resulted in an array of new digital consumer technologies in the last decade. While there is a continuous uptake in digital technology adoption, certain groups of users are lagging behind, fueling fears of an increasing digital divide. This article attempts to open the “black box” of users by exploring user-centric antecedents of digital technology adoption. Based on an online survey dataset of 7.231 representative Internet users from Germany, Sweden, United States, Brazil, China, and South-Korea, the empirical analysis aims at comparing user-specific demographic, attitudinal and behavioral factors related to digital technology adoption across countries. While we find that users differ significantly in their digital technology adoption among some factors (i.e. age, people in household, education, and being a student or pupil) across countries, we also identify factors with similar impacts across countries (i.e. net income, gender, children in household, and being unemployed). Counteracting tendencies towards an increasing digital divide, this paper pledges for an extensive differentiation of policy measures based on country specific determinants of digital technology adoption. Gaining a better understanding of (dis)similarities among users of digital technologies, these results shall ultimately promote evidence-based business decisions and policymaking.
Fußnoten
1
Cf. Srite and Karahanna (2006, pp. 679 ff.).
 
2
Cf. Davis (1985, pp. 2 ff.), and Venkatesh et al. (2003, pp. 425 ff.).
 
3
Cf. Rosenberg (1972, pp. 3 ff.), Caselli and Coleman (2001, pp. 328 ff.), Chinn and Fairlie (2007, pp. 16 ff.), Leidner and Kayworth (2006, pp. 357 ff.), and Srite and Karahanna (2006, pp. 679 ff.).
 
4
Cf. van Dijk and Hacker (2003, pp. 315 ff.), and Porter and Donthu (2006, pp. 999 ff.).
 
5
Cf. Morris and Venkatesh (2000, pp. 375 ff.).
 
6
Cf. Venkatesh and Morris (2000, pp. 115 ff.).
 
7
Cf. Korupp and Szydlik (2005, pp. 409 ff.), and Porter and Donthu (2006, pp. 999 ff.).
 
8
Cf. Wagner and Hanna (1983, pp. 281 ff.), and Korupp and Szydlik (2005, pp. 409 ff.).
 
9
Cf. Belch et al. (1985, pp. 163 ff.), Foxman et al. (1989, pp. 482 ff.), Beatty and Talpade (1994, pp. 332 ff.), and Palan and Wilkes (1997, pp. 159 ff.).
 
10
Cf. Awad and Krishnan (2006, pp. 13 ff.).
 
11
Cf. Chellappa and Sin (2005, pp. 181 ff.), Chellappa and Shivendu (2007, pp. 193 ff.), Bélanger and Crossler (2011, pp. 1017 ff.), and Hong and Thong (2013, pp. 275 ff.).
 
12
Cf. Johnston and Warkentin (2010, pp. 549 ff.).
 
13
Cf. Pavlou et al. (2007, pp. 105 ff.), and Korzaan and Boswell (2008, pp. 15 ff.).
 
14
Cf. Venkatesh (2000, pp. 343 ff.).
 
15
Cf. Münchner Kreis et al. (2011, pp. 1 ff.).
 
16
Chinese survey respondents were exclusively recruited from mega cities with a total population over ten million people.
 
17
Cf. Miller (1981, p. 8).
 
18
The VIFs are lower than 1.66 and indicate no problem of autocorrelation and multicollinearity (cf. Cohen et al. 2003, pp. 423–424).
 
19
Cf. Caselli and Coleman (2001, pp. 328 ff.).
 
20
Cf. Chellappa and Sin (2005, pp. 181 ff.), and Awad and Krishnan (2006, pp. 13 ff.).
 
21
Cf. Davis (1985, pp. 2 ff.), and Legris et al. (2003, pp. 191 ff.).
 
22
Cf. Ajzen (1991, pp. 179 ff.).
 
23
Cf. Ajzen and Fishbein (1980, pp. 1 ff.).
 
24
Cf. Hofstede (1980, pp. 7 ff.).
 
25
Cf. Baldwin and Clark (2000, pp. 1 ff.).
 
26
Cf. Immelt et al. (2009, pp. 56 ff.).
 
27
Percentage of individuals using the Internet in China: 42%, Brazil: 50%, Germany: 84%, South Korea: 84%, Sweden: 94%; cf. ITU (2013).
 
Literatur
Zurück zum Zitat Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. CrossRef Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. CrossRef
Zurück zum Zitat Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall.
Zurück zum Zitat Awad, N. F., & Kirshnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quaterly, 30(1), 13–28. CrossRef Awad, N. F., & Kirshnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quaterly, 30(1), 13–28. CrossRef
Zurück zum Zitat Baldwin, C. Y. & Clark, K. B. (2000). Design rules: The power of modularity. Cambridge, MIT Press. Baldwin, C. Y. & Clark, K. B. (2000). Design rules: The power of modularity. Cambridge, MIT Press.
Zurück zum Zitat Beatty, S. E., & Talpade, S. (1994). Adolescent influence in family decision making: A replication with extension. Journal of Consumer Research, 21(2), 332–341. CrossRef Beatty, S. E., & Talpade, S. (1994). Adolescent influence in family decision making: A replication with extension. Journal of Consumer Research, 21(2), 332–341. CrossRef
Zurück zum Zitat Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quaterly, 45(4), 1017–1041. CrossRef Bélanger, F., & Crossler, R. E. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quaterly, 45(4), 1017–1041. CrossRef
Zurück zum Zitat Belch, G. A., Belch, M. A., & Ceresino, G. (1985). Parental and teenage child influence in family decision making. Journal of Business Research, 13(2), 163–176. CrossRef Belch, G. A., Belch, M. A., & Ceresino, G. (1985). Parental and teenage child influence in family decision making. Journal of Business Research, 13(2), 163–176. CrossRef
Zurück zum Zitat Caselli, F., & Coleman, W., II. (2011). Cross-country technology diffusion: The case of computers. American Economic Review, 91(2), 328–335. CrossRef Caselli, F., & Coleman, W., II. (2011). Cross-country technology diffusion: The case of computers. American Economic Review, 91(2), 328–335. CrossRef
Zurück zum Zitat Chellappa, R. K., & Shivendu, S. (2007). An economic model of privacy: A property rights approach to regulatory choices for online personalization. Journal of Management Information Systems, 24(3), 193–225. CrossRef Chellappa, R. K., & Shivendu, S. (2007). An economic model of privacy: A property rights approach to regulatory choices for online personalization. Journal of Management Information Systems, 24(3), 193–225. CrossRef
Zurück zum Zitat Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: An empirical examination of the online consumer’s dilemma. Information Technology and Management, 6(2), 181–202. CrossRef Chellappa, R. K., & Sin, R. G. (2005). Personalization versus privacy: An empirical examination of the online consumer’s dilemma. Information Technology and Management, 6(2), 181–202. CrossRef
Zurück zum Zitat Chinn, M., & Fairlie, R. (2007). The determinants of the global digital divide: A cross-country analysis of computer and internet penetration. Oxford Economic Papers, 59(1), 16–44. CrossRef Chinn, M., & Fairlie, R. (2007). The determinants of the global digital divide: A cross-country analysis of computer and internet penetration. Oxford Economic Papers, 59(1), 16–44. CrossRef
Zurück zum Zitat Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah: Routledge. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah: Routledge.
Zurück zum Zitat Davis, F. A. (1985). Technology acceptance Model for empirically testing new end-user information systems: Theory and results. Unpublished Ph.D. Dissertation, Massachusetts Institute of Technology, Cambridge. Davis, F. A. (1985). Technology acceptance Model for empirically testing new end-user information systems: Theory and results. Unpublished Ph.D. Dissertation, Massachusetts Institute of Technology, Cambridge.
Zurück zum Zitat Dijk, J. van, & Hacker, K. (2003). The digital divide as a complex and dynamic phenomenon. The Information Society, 19(4), 315–326. CrossRef Dijk, J. van, & Hacker, K. (2003). The digital divide as a complex and dynamic phenomenon. The Information Society, 19(4), 315–326. CrossRef
Zurück zum Zitat Foxman, E., Tahsuhaj, P., & Ekstrom, K. M. (1989). Adolescents’ influence in family purchase decisions: A socialization perspective. Journal of Business Research, 15(2), 482–491. Foxman, E., Tahsuhaj, P., & Ekstrom, K. M. (1989). Adolescents’ influence in family purchase decisions: A socialization perspective. Journal of Business Research, 15(2), 482–491.
Zurück zum Zitat Hofstede, G. (1980). Culture’s consequences: International differences in work – Related values. Newbury Park: Sage. Hofstede, G. (1980). Culture’s consequences: International differences in work – Related values. Newbury Park: Sage.
Zurück zum Zitat Hong, W., & Thong, J. Y. L. (2013). Internet privacy concerns: An integrated conceptualization and four empirical studies. MIS Quarterly, 37(1), 275–298. CrossRef Hong, W., & Thong, J. Y. L. (2013). Internet privacy concerns: An integrated conceptualization and four empirical studies. MIS Quarterly, 37(1), 275–298. CrossRef
Zurück zum Zitat Immelt, J. R., Govindarajan, V., & Trimble, C. (2009). How GE is disrupting itself. Harvard Business Review, 87(10), 56–65. Immelt, J. R., Govindarajan, V., & Trimble, C. (2009). How GE is disrupting itself. Harvard Business Review, 87(10), 56–65.
Zurück zum Zitat Johnston, A. C., & Warkentin, M. (2010). Fear appeals and information security behaviors: An empirical study. MIS Quarterly, 34(3), 549–566. CrossRef Johnston, A. C., & Warkentin, M. (2010). Fear appeals and information security behaviors: An empirical study. MIS Quarterly, 34(3), 549–566. CrossRef
Zurück zum Zitat Korupp, S. E., & Szydlik, M. (2005). Causes and trends of the digital divide. European Sociological Review, 21(4), 409–422. CrossRef Korupp, S. E., & Szydlik, M. (2005). Causes and trends of the digital divide. European Sociological Review, 21(4), 409–422. CrossRef
Zurück zum Zitat Korzaan, M. L., & Boswell, K. T. (2008). The influence of personality traits and information privacy concerns on behavioral intentions. The Journal of Computer Information Systems, 48(4), 15–24. Korzaan, M. L., & Boswell, K. T. (2008). The influence of personality traits and information privacy concerns on behavioral intentions. The Journal of Computer Information Systems, 48(4), 15–24.
Zurück zum Zitat Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 48(3), 191–204. CrossRef Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 48(3), 191–204. CrossRef
Zurück zum Zitat Leidner, D. E., & Kayworth, T. (2006). Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399. CrossRef Leidner, D. E., & Kayworth, T. (2006). Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399. CrossRef
Zurück zum Zitat Miller, R. G. Jr. (1981). Simultaneous statistical inference. New York, Springer. Miller, R. G. Jr. (1981). Simultaneous statistical inference. New York, Springer.
Zurück zum Zitat Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoptions decisions: Implications for a changing workforce. Personal Psychology, 52(2), 375–403. CrossRef Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoptions decisions: Implications for a changing workforce. Personal Psychology, 52(2), 375–403. CrossRef
Zurück zum Zitat Palan, K. M., & Wilkes, R. E. (1997). Adolescent-parent interaction in family decision making. Journal of Consumer Research, 24(2), 159–169. CrossRef Palan, K. M., & Wilkes, R. E. (1997). Adolescent-parent interaction in family decision making. Journal of Consumer Research, 24(2), 159–169. CrossRef
Zurück zum Zitat Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(1), 105–136. CrossRef Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(1), 105–136. CrossRef
Zurück zum Zitat Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. CrossRef Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. CrossRef
Zurück zum Zitat Rosenberg, N. (1972). Factors affecting the diffusion of technology. Explorations in Economic History, 10(1), 3–33. CrossRef Rosenberg, N. (1972). Factors affecting the diffusion of technology. Explorations in Economic History, 10(1), 3–33. CrossRef
Zurück zum Zitat Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30(3), 679–704. CrossRef Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30(3), 679–704. CrossRef
Zurück zum Zitat Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, and emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 343–365. CrossRef Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, and emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 343–365. CrossRef
Zurück zum Zitat Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop and ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 21(1), 115–140. CrossRef Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop and ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 21(1), 115–140. CrossRef
Zurück zum Zitat Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Towards a unified view. MIS Quarterly, 27(3), 425–478. CrossRef Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Towards a unified view. MIS Quarterly, 27(3), 425–478. CrossRef
Zurück zum Zitat Wagner, J., & Hanna, S. (1983). The effectiveness of family life cycle variables in consumer expenditure research. Journal of Consumer Research, 10(3), 281–291. CrossRef Wagner, J., & Hanna, S. (1983). The effectiveness of family life cycle variables in consumer expenditure research. Journal of Consumer Research, 10(3), 281–291. CrossRef
Metadaten
Titel
Are Users All the Same? – A Comparative International Analysis of Digital Technology Adoption
verfasst von
Stefan Hopf
Arnold Picot
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-658-19133-7_5