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Information Systems Frontiers

Erschienen in:

01.04.2010

Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants

verfasst von: Sven Laumer, Andreas Eckhardt, Natascha Trunk

Erschienen in: Information Systems Frontiers | Ausgabe 2/2010

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Abstract

The article suggests a model for examining the adoption of e-recruiting by individuals. The model is empirically evaluated using survey data from 323 full and under age applicants. The results explain substantial parts of the individual adoption decision. Interestingly, the relative importance of the adoption drivers varies with age, social environment and the level of education. While, as expected, overall Performance Expectancy is the major force behind adopting e-recruiting, the relative importance of the other factors differs a lot. Whereas Facilitating Conditions came out as an important driver for under age pupils, full age students by contrast are highly driven by the influence of their peer groups and the communication of the respective company they apply for. A major outcome is that the Subjective Norm of family and friends, teachers and professors has a weaker influence for under age pupils who mostly live with their parents than for the group of students who already left home to study at college. Consequentially we assume that the social influence of peer groups on an individual’s adoption differs with respect to age, social environment and level of education. This should be investigated more carefully in future adoption research as it might provide an answer for the varying significance of Subjective Norm in adoption research.

Vorheriger Artikel A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce

Nächster Artikel Structure of service level agreements (SLA) in IT outsourcing: The construct and its measurement

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Ahtola, O. T. (1976). Toward a vector model of intentions, in Advances in Consumer Research, 3, Anderson, Arbor. MI: Association for Consumer Research, 48, pp. 1–484.

Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg, Germany: Springer.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRef

Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127, 142–161.CrossRef

Bagozzi, R. P. (1979). The role of measurement in theory construction and hypothesis testing: Toward a holistic model. In: Conceptual and Theoretical Developments in Marketing, O. C. Ferrell, S.W. Brown and C.W. Lamb (eds.), Chicago, pp. 15–32.

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74–94.CrossRef

Beatty, S. E., & Talpade, S. (1994). Adolescent influence in family decision making: A replication with extension. Journal of Consumer Research, 21, 332–341.CrossRef

Beck, R., Beimborn, D., Weitzel, T., & König, W. (2008). Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services. Information Systems Frontiers, 10(4), 415–429.CrossRef

Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 211–218.

Boyer, K. K., Olson, J. R., Calantone, R. J., & Jackson, E. C. (2002). Print versus electronic surveys: A comparison of two data collection methodologies. Journal of Operations Management, 20(4), 357–373.CrossRef

Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1, 185–216.CrossRef

Brown, S. A. (2008). Household technology adoption, use, and impacts: Past, present, and future. Information Systems Frontiers, 10(4), 397–402.CrossRef

Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426.

Bullen, C. V., Abraham, T., & Galup, S. (2007). IT-Workforce trends: implications for corriculum and hiring. Communications of the Association for Information Systems, 20, 545–554.

Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Beverly Hills: Sage.

Childers, T. L., & Rao, A. R. (1992). The influence of familial and peer-based reference groups on consumer decisions. Journal of Consumer Research, 19, 198–211.CrossRef

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoluides (Ed.), Modern methods for business research (pp. 295–336). London: Lawrence Erlbaum Associates.

Chin, W. W. (2000). Frequently asked questions—Partial least squares & PLS-Graph. Available: http://disc-nt.cba.uh.edu/chin/plsfaq.htm.

Chin, W. W. (2003). A permutation procedure for multi-group comparison of PLS-models. In: Vilares, M., Tennenhaus, M., Coelho, P., Vinzi, V., Morineau, A. (Eds.): PLS and related methods, PLS. 03 International Symposium—“Focus on Customers, pp. 33–43.

Churchill, J. R., & Gilbert, A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 15(2), 77–94.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Erlbaum.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.CrossRef

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef

DeMaria, M. J. (2002). Home smart home. Network Computing, 13(1), 55–60.

Dewan, S., & Riggins, F. J. (2005). The digital divide: Current and future research directions. Journal of the Association for Information Systems, 6(12), 298–336.

Dibbern, J., & Chin, W. W. (2005). Multi-group comparison testing a PLS model on sourcing of application software services across Germany and the U.S.A. using a permutation based algorithm. In F. Bliemel, A. Eggert, G. Fassot, & J. Henseler (Eds.), Handbuch PLS Pfadmodellierung. Stuttgart: Schaeffel-Poesche.

Dwivedi, Y. K., Williams, M. D., & Venkatesh, V. (2008). Guest editorial: A profile of adoption of information & communication technologies (ICT) research in the household context. Information Systems Frontiers, 10(4), 385–390.CrossRef

Eckhardt, A., Weitzel, T., Koenig, W. & Buschbacher, J. (2007a). How to convince people who don’t like IT to use IT. A Case Study on E-Recuriting. In: 13th Americas Conference on Information Systems (AMCIS 2007), Keystone, Colorado.

Eckhardt, A., Weitzel, T., Koenig, W. & Trunk, N. (2007b). Bewerbungspraxis 2008: Eine empirische Untersuchung mit über 10.000 Stellensuchenden im Internet. Frankfurt am Main.

Eckhardt, A., Laumer, S., Weitzel, T. & Koenig, W (2008). Recruiting Trends 2008: Eine empirische Untersuchung mit den Top-1.000 Unternehmen in Deutschland. Frankfurt am Main.

Edgington, E. S. (1987). Randomization Tests (2nd ed.). New York: Marcel Dekker.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley, Reading, MA.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equitation models with unobservable variables and measurement errors. Journal of Marketing Research, 18, 39–50.CrossRef

Gefen, D., Straub, D. W., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77.

Good, P. (2000). Permutation tests, a practical guide to resampling methods for testing hypotheses (2nd ed.). New York: Springer.

Goodhue, D. (2007). Comment on Benbasat and Barki’S ‘quo vadis TAM’ article. Journal of the Association for Information Systems, 8(4), 219–222.

Griffiths, M., & Light, B. (2008). Social networking and digital gaming media convergence: Classification and its consequences for appropriation. Information Systems Frontiers, 10(4), 447–459.CrossRef

Hirschheim, R. (2007). Introduction to the special issue on ‘quo vadis TAM—Issues and reflections on technology acceptance research. Journal of the Association for Information Systems, 8(4), 203–205.

Hong, S. J., Thong, J. Y. L., Moon, J. Y., & Tam, K. Y. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431–445.CrossRef

Hulland, J. (1999). Use of partial least squares (PLS). In: Strategic management research: A Review of four recent studies. Strategic Management Journal, 20(4), 195–204.

Kapoor, A. (2004). The digital home: The futuristic foyer. Microsoft® Home Magazine, (available online at http://www.microsoft.com/canada/home/style&home/; accessed November16, 2004).

Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quaterly, 23(2), 183–213.CrossRef

Keil, M., Tan, B. C. Y., Wei, K. K., & Saarinen, T. (2000). A cross-cultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24(2), 299–325.CrossRef

Keim, T., Malinowski, J., & Weitzel, T. (2005). Bridging the assimilation gap: A user-centered approach to IT adoption in corporate HR processes. Proceedings of the 2005 Americas Conference on Information Systems 2005 (AMCIS 2005). Omaha, Nebraska.

Keim, T., & Weitzel, T. (2006). Strategies for hiring IT professionals: An empirical analysis of employer and job seeker behavior on the IT labor market. Proceedings of the 2006 Americas Conference on Information Systems, 2006 (AMCIS 2006), Acapulco, Mexico.

Lackman, C., & Lanasa, J. M. (1993). Family decision-making theory: An overview and assessment. Psychology & Marketing, 10(2), 81–93.CrossRef

Laumer, S., Eckhardt, A. & Weitzel, T. (2008a). Recruiting IT professionals in a virtual world. Proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS 2008); Suzhou, China.

Laumer, S., Eckhardt, A., Weitzel, T., & König, W. (2008b). Recruiting Trends im Mittelstand 2008—Eine empirische Untersuchung mit 1.000 Unternehmen aus dem Deutschen Mittelstand, Frankfurt am Main.

Lee, I. (2007). An architecture for a next-generation holistic E-recruiting system. Communications of the ACM, 50(7), 81–85.CrossRef

Liska, A. E. (1974). Emergent issues in the attitude–behavior consistency controversy. American Sociological Review, 39, 61–72.

Liska, A. E. (1984). Contact hypothesis and inter-age attitudes: A field study of cross-age contact. Social Psychology Quarterly, 47(1), 74–80.CrossRef

Lucas, H. C., Swanson, E. B., & Zmud, R. W. (2007). Implementation, innovation, and related themes over the years in information systems research. Journal of the Association for Information Systems, 8(4), 206–210.

Miniard, P. W., & Cohen, J. B. (1983). Modeling personal and normative influences on behavior. Journal of Consumer Research, 10, 169–180.CrossRef

Mirchandani, D. A., Johnson Jr., J. H., & Joshi, K. (2008). Perspectives of citizens towards e-government in Thailand and Indonesia: A multigroup analysis. Information Systems Frontiers, 10(4), 463–497.CrossRef

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.CrossRef

Noreen, E. W. (1989). Computer intensive methods for testing hypotheses, an introduction. New York: Wiley.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method bias in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.CrossRef

Ringle, C. M., Wende, S., & Will A. (2005): SmartPLS 2.0 (beta), www.smartpls.de.

Rogers, E. M. (1995). Diffusion of Innovations (4’*’ ed.). Free Press, New York, 1995.

Schmitz, J., & Fulk, J. (1991). Organizational colleagues, media richness, and electronic mail: A test of the social influence model of technology use. Communication Research, 18, 487–523.CrossRef

Schwarz, A., & Chin, W. W. (2007). Looking forward: Toward an understanding of the nature and definition of IT acceptance. Journal of the Association for Information Systems, 8(4), 230–243.

Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325–343.CrossRef

Shen, D., Laffey, J., Lin, Y., & Huang, X. (2006). Social influence for perceived usefulness and ease-of-use of course delivery systems. Journal of Interactive Online Learning, 5(3), 270–282.

Sherman, E., & Delener, N. (1987). The impact of demographics on household personal computer purchasing decisions. Journal of the Academy of Marketing Science, 15, 25–32.CrossRef

Silva, L. (2007). Post-positivist review of technology acceptance model. Journal of the Association for Information Systems, 8(4), 255–266.

Simsek, Z., & Veiga, J. F. (2000). The electronic survey technique: An integration and assessment. Organizational Research Methods, 3, 93–115.CrossRef

Spiro, R. L. (1983). Persuasion in family decision-making. Journal of Consumer Research, 9, 393–402.CrossRef

Stanton, J. M., & Rogelberg, S. G. (2001). Using Internet/Intranet web pages to collect organizational research data. Organizational Research Methods, 4(3), 200–217.CrossRef

Straub, D. W., & Burton-Jones, A. (2007). Veni, vidi, vici: breaking the TAM Logjam. Journal of the Association for Information Systems, 8(4), 223–229.

Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2007). Understanding the antecedents and consequences of e-government service quality: An empirical investigation. In: Proceedings of the Twenty Eighth International Conference on Information Systems (ICIS 2007), Montreal, Quebec.

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124–143.CrossRef

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1994). Influence of experience on personal computer utilization: Testing a conceptual model. Journal of Management Information Systems, 11(1), 167–187.

Venkatesh, A. (1996). Computers and other interactive technologies for the home. Communications of the ACM, 39(12), 47–54.CrossRef

Venkatesh, A. (2008). Digital home technologies and transformation of households. Information Systems Frontiers, 10(4), 391–395.CrossRef

Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: adoption determinants and emerging challenges. MIS Quarterly, (25:1), 71–102.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

Venkatesh, V., Davis, F. D. & Morris, M. G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267–286.

Vinzi, V. E., Lauro, C., & Tenenhaus, M. (2003). PLS path modeling. DMS, University of Naples.

Wagner, H. J. (2001). Microsoft’s eHome division seeks to bridge device chasms. Video Store, 23(49), 16–18.

Wagner, J., & Hanna, S. (1983). The effectiveness of family life cycle variables in consumer expenditure research. Journal of Consumer Research, 10, 281–291.CrossRef

Warshaw, P. R. (1980). A new model for predicting behavioral intentions: An alternative to Fishbein. Journal of Marketing Research, 17, 153–172.CrossRef

Weitzel, T., Beimborn, D., & König, W. (2006). A unified model of standard diffusion: The impact of standardization cost, network effects, and network topology. MIS Quarterly, 30(special issue), 489–514.

Titel: Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants
verfasst von: Sven Laumer
Andreas Eckhardt
Natascha Trunk
Publikationsdatum: 01.04.2010
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 2/2010
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-008-9136-x

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