nach oben

Information Systems Frontiers

Erschienen in:

01.06.2016

Web personalization for user acceptance of technology: An empirical investigation of E-government services

verfasst von: Vinodh Krishnaraju, Saji K Mathew, Vijayan Sugumaran

Erschienen in: Information Systems Frontiers | Ausgabe 3/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

E-Commerce firms have adopted Web Personalization techniques extensively in the form of recommender systems for influencing user behavior for customer retention. Although there are numerous studies in this area, academic research addressing the role of Web Personalization in user acceptance of technology is very scant. Further, owing to the potential of recommender systems to attract and retain customers, most studies in web personalization have been done in E-Commerce setting. In this research, the ‘Consumer Acceptance and Use of Information Technology’ theory proposed in previous research has been extended to include web personalization as a moderator and has been tested in an E-Government context. Data collection involved conducting a laboratory experiment with the treatment group receiving personalized web forms for requesting an E-Government service. Our analyses show that personalizing the Web by self-reference and content relevance has a significant moderator role in influencing the relationship between determinants of intention to use and behavioral intention in certain cases.

Vorheriger Artikel A new method to identify collaborative partners in social service provider networks

Nächster Artikel Persuasive narrative advertisement generator: A microenterprise service innovation perspective

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren

Impact Assessment of E-Government Services, Ministry of Communications and Information technology, Government of India, 2008.

Adomavicius, G. & Tuzhilin, A. (2011). Context-aware recommender systems, Recommender Systems Handbook, pp. 217–253.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179–211.CrossRef

Arora, N., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., Jing, B., et al. (2008). Putting one-to-one marketing to work: personalization, customization, and choice. Marketing Letters, 19(3–4), 305–321.

Bhatnagar, S. (2009). Unlocking E-Government potential- concepts, cases and practical insights. New Delhi: Sage Publications.

Carter, L., & Weerakkody, V. (2008). E-government adoption: a cultural comparison. Information Systems Frontiers, 10, 473–482. doi:10.1007/s10796-008-9103-6.CrossRef

Chau, P. Y., & Lung Hui, K. (1998). Identifying early adopters of new IT products: a case of windows 95. Information & Management, 33(5), 225–230.CrossRef

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef

Dombeu, J.V.F., & Huisman, M. (2011). Semantic-driven e-government: A case study of formal representation of government domain ontology. In IST-Africa Conference Proceedings, 2011 (pp. 1–9). IEEE.

Dombeu, J.V.F., & Huisman, M. (2013). Practicing Semantic web Technologies in e‐Government. In Proceedings of the 13th European Conference on eGovernment: ECEG 2013 (p. 166). Academic Conferences Limited.

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

Gao, M., Liu, K., & Wu, Z. (2010). Personalisation in web computing and informatics: theories, techniques, applications, and future research. Information Systems Frontiers, 12(5), 607–629.CrossRef

Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using pls-graph: tutorial and annotated example. Communications of the Association for Information Systems, 16, 109.

Hair, J. F., Jr., Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business, John Wiley and Sons, Ltd.

Hamner, M., Negrón, M. A., Taha, D., & Brahimi, S. (2012). e-Government Implementation in a Developing Country: A Case Study. Managing E-government Projects: Concepts, Issues and Best Practices, 262.

Han, L., & Li, M. (2010). Application and research on ontology in e-Government workflow model. International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE 2010), (pp. 474–477).

Heeks, R., & Bailur, S. (2007). Analyzing e-government research: perspectives, philosophies, theories, methods, and practice. Government information quarterly, 24(2), 243–265.CrossRef

Henseler, J. & Fassott G. (2010) Testing moderating effects in PLS path models: An illustration of available procedures, Handbook of Partial Least Squares, Springer, 713–735.

Hesterberg, T., Moore, D. S., Monaghan, S., Clipson, A., & Epstein, R. (2006). Chapter 14: Bootstrap methods and permutation tests. In D. S. Moore & G. P. Mccabe (Eds.), Introduction to the practice of statistics. New York: Freeman.

Hind, L., Chiadmi, D., & Benhlima, L. (2014). How semantic technologies transform e-government domain: a comparative study and framework. Transforming Government: People, Process and Policy, 8(1), 49–75.CrossRef

Hong, W., Thong, J., & Tam, K. (2004). Does animation attract online users’ attention? The effects of flash on information search performance and perceptions. Information Systems Research, 15(1), 60–86.CrossRef

Hsu, I. C. (2013). Personalized web feeds based on ontology technologies. Information Systems Frontiers, 15(3), 465–479.CrossRef

Jiang, Z. (2007). The effects of presentation formats and task complexity on online consumers’ product understanding. MIS Quarterly, 31(3), 475–500.

Joreskog, K. G., & Wang, F. (1996). Nonlinear structural equation models: The Kenney-Judd model with interaction effects. In R. E. Shumacker & G. A. Marcoulides (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 57–58). Mahwah: Lawrence Erlbaum.

Kobsa, A. (2001). Generic user modeling systems. User modeling and user-adapted interaction, 11(1), 49–63.CrossRef

Komiak, S. Y. X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents, MIS Quarterly, 30(4), 941–960.

Krishnaraju, V., & Mathew, S. K. (2013). Web personalization research: an information systems perspective. Journal of Systems and Information Technology, 15(3), 254–268.CrossRef

Li, D., & Liu, X. L. (2012). A model for E-government information resource integration based on ontology. Applied Mechanics and Materials, 220, 2364–2370.CrossRef

Liang, C., Yang, D., & Si, G. (2012). Ontology based personalized catalog system of e-government information resource. Journal of Tsinghua University Science and Technology, 52(11), 1650–1656.

Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quarterly 31, 59–87.

Maigre, R., Grigorenko, P., Haav, H. M., & Kalja, A. (2013, January). A semantic method of automatic composition of e-government services. In Databases and Information Systems VII: Selected Papers from 10th Int. Baltic Conf. on Databases and Information Systems, Baltic DB&IS 2012 (pp. 204–217).

Mirchandani, D. A., Johnson, J. H., & Joshi, K. (2008). Perspectives of citizens towards e-government in Thailand and Indonesia: a multigroup analysis. Information Systems Frontiers, 10(4), 483–497.CrossRef

Mobasher, B., Cooley, R., & Srivastava, J. (2000). Automatic personalization based on web usage mining. Communications of the ACM, 43(8), 142–151.CrossRef

Nunes, P. F., & Kambil, A. (2001). Personalization? No Thanks!, Harvard Business Review, 79(4), 32–34.

Peterson, R., Balasubramanian, S., & Bronnenberg, B. (1997). Exploring the implications of the internet for consumer marketing. Journal of the Academy of Marketing Science, 25(4), 329–346.

Prahlad, C. K., & Krishnan, M. S. (2008). The new age of innovation: driving co-created value through global networks, Tata McGraw-Hill, New Delhi.

Rana, N. P., Dwivedi, Y. K., & Williams, M. D. (2013). A meta-analysis of existing research on citizen adoption of e-government. Information Systems Frontiers. doi:10.1007/s10796-013-9431-z. Published online: 16 April 2013.

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2014). Investigating success of an e-government initiative: validation of an integrated IS success model. Information Systems Frontiers. doi:10.1007/s10796-014-9504-7. Published online: 23 May 2014.

Schafer, J., Konstan, J. & Riedi, J. (1999). Recommender systems in e-commerce, Proceedings of the 1st ACM conference on Electronic commerce, ACM, 158–166.

Sheng; L., & Lingling, L. (2011). Application of Ontology in E-Government. Fifth International Conference on Management of e-Commerce and e-Government (ICMeCG 2011), (pp. 93 – 96).

Silcock, R. (2001). What is e-government? Parliamentary affairs, 54(1), 88–101.CrossRef

Sinha, B., Chandra, S., & Garg, M. (2015). Development of ontology from Indian agricultural e-governance data using IndoWordNet: a semantic web approach. Journal of Knowledge Management, 19(1).

Stevens, R., Robinson, A., & Goble, C. (2003). Mygrid: personalised bioinformatics on the information grid. Bioinformatics, 19(1), 302.

Tam, K. Y., & Ho, S. Y. (2006). Understanding the impact of web personalization on user information processing and decision outcomes. MIS Quarterly, 30(4), 865–890.

Taylor, S., & Todd, P. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176.CrossRef

Tenenhaus, M., Vinzi, V. E., Chatelin, Y-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205.

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

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

Vo, G. N., & Lai, R. (2014, May). A method for simplifying the submission of an online request for an E-Government service. In Technology Management and Emerging Technologies (ISTMET), 2014 International Symposium on (pp. 377–382). IEEE.

Weerakkody, V., Irani, Z., Lee, H., Osman, I., & Hindi, N. (2013). E-government implementation: a bird’s eye view of issues relating to costs opportunities, benefits and risks. Information Systems Frontiers. doi:10.1007/s10796-013-9472-3. Published online: 17 December 2013.

Willcocks, L., Feeny, D., & Olson, N. (2006). Implementing core IS capabilities: Feeny-Willcocks IT governance and management framework revisited. European Management Journal, 24(1), 28–37.CrossRef

Yildiz, M. (2007). E-government research: reviewing the literature, limitations, and ways forward. Government Information Quarterly, 24(3), 646–665.CrossRef

Zakaria, M.R. (2013). Personalized E-government System: Towards an Adaptive Maturity Model. International Journal of Business Information and Technology (IJBIT), 2(1).

Zhao, J., Su, H., Dong, Y., & Zhang, Z. (2013). An ontology model for user-centered e-government in China. In LISS 2012 (pp. 1339–1344). Berlin Heidelberg: Springer.

Titel: Web personalization for user acceptance of technology: An empirical investigation of E-government services
verfasst von: Vinodh Krishnaraju
Saji K Mathew
Vijayan Sugumaran
Publikationsdatum: 01.06.2016
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 3/2016
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-015-9550-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2016

A theory building study of enterprise architecture practices and benefits

SOA in practice – a study of governance aspects

Emerging service orientations and transformations (SOT)

Enabling user-driven rule management in event data analysis

An awareness-based meta-mechanism for e-commerce buyer coalitions

A new method to identify collaborative partners in social service provider networks

Premium Partner