nach oben

International Review on Public and Nonprofit Marketing

Erschienen in:

20.01.2016 | Original Article

Local e-government and user satisfaction with city portals – the citizens’ service preference perspective

verfasst von: Bernd W. Wirtz, Oliver Tuna Kurtz

Erschienen in: International Review on Public and Nonprofit Marketing | Ausgabe 3/2016

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

In the past decade, governments all over the world have incrementally employed E-Government websites to improve public administration efficiency by augmenting the effectiveness, quality, transparency and availability of information and services for their citizens. Despite the increased interest in providing E-Government services, knowledge about the success of E-Government remains limited. In terms of an efficient provision of E-Government services for citizens, a user-oriented approach needs to be considered. In this context, user satisfaction is a crucial factor for the success or failure of E-Government. Hence, a primary challenge for local E-Government city portals is the identification of key factors that determine user satisfaction. Therefore, this study develops a model for user satisfaction of E-Government city portals by applying a mixed method approach. The results of this paper, which are based on binary logistic regression, indicate that integration of downloadable forms, integration of a powerful search function, full online availability of E-Government Services, and Perceived Ease of Use positively influence user satisfaction with E-Government city portals.

Vorheriger Artikel Voter empowerment for emerging democracies: Mobilising the marginalised in Peru

Nächster Artikel Place branding research: a thematic review and future research agenda

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 "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

Nur mit Berechtigung zugänglich

see Literature Review in Section 2

Apart from the analysis of best practice examples, our explorative Website analysis has considered the city portals of medium-sized municipalities (Berlin and Mainz) as this approach prevents biases for questionnaires development and as the additional medium-sized city portal cases reflect the structure of the basic population for the present study.

Abdellatif, A., Ben Amor, N., Mellouli, S. (2013). An intelligent framework for e-government personalized services. Proceedings of the 14th Annual International Conference on Digital Government Research, 120–126.

Accenture Institute for health and public service value (2009). From e-Government to e-Governance with citizens. Using new technologies to strengthen relationships http://nstore.accenture.com/egovernance/x/From%20e-Government%20to%20e-Governance.pdf. Accessed 18 October 2014.

Alawneh, A., Al-Refai, H., & Batiha, K. (2013). Measuring user satisfaction from e-government services: lessons from Jordan. Government Information Quarterly, 30(3), 277–288. doi:10.1016/j.giq.2013.03.001.CrossRef

Al-Hossienie, C. A., & Barua, S. K. (2013). Applications of e-governance towards the establishment of digital Bangladesh: prospects and challenges. Journal of E-Governance, 36, 152–162.

Alias, E. S., Mohd Idris, S. H., Ashaari, N. S., Kasimin, H. (2011). Evaluating e-government services in Malaysia using the EGOVSAT model. Electrical Engineering and Informatics (ICEEI), 2011 International Conference on, 1–5.

Al-Nuaim, H. (2011). An evaluation framework for Saudi e-government. Journal of E-Government Studies and Best Practices, 1–12. DOI: 10.5171/2011.820912.

Al-Sebie, M. (2014). Organizational challenges facing integrating e-government systems: an empirical study. European Scientific Journal, 10(10), 236–250.

Al-Sebie, M., & Irani, Z. (2005). Technical and organizational challenges facing transactional eGovernment systems: an empirical study. Electronic Government: An International Journal, 2(3), 247–276.CrossRef

Arduini, D., Zanfei, A., Denni, M., Giungato, G. (2011). The egovernment services delivery of the Italian municipalities. Electronic Government, 144–158.

Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402.CrossRef

Assar, S., Boughzala, I., & Boydens, I. (2011). Practical studies in e-government. Best practices from around the world. New York: Springer.CrossRef

Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530–545.CrossRef

Barnes, S. J., & Vidgen, R. T. (2006). Data triangulation and web quality metrics: a case study in e-government. Information & Management, 43(6), 767–777. doi:10.1016/j.im.2006.06.001.CrossRef

Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity (1st ed.). New York, USA: Wiley-Interscience.CrossRef

Bergkvist, L., & Rossiter, J. R. (2007). The predictive validity of multiple-item versus single-item measures of the same constructs. Journal of Marketing Research, 44(2), 175–184.CrossRef

Bergkvist, L., & Rossiter, J. R. (2009). Tailor-made single-item measures of doubly concrete constructs. International Journal of Advertising, 28(4), 607–621.CrossRef

Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2012). Promoting transparency and accountability through ICTs, social media, and collaborative e-government. Transforming Government: People, Process and Policy, 6(1), 78–91.CrossRef

Bonsón, E., Torres, L., Royo, S., & Flores, F. (2012). Local e-government 2.0: social media and corporate transparency in municipalities. Government Information Quarterly, 29(2), 123–132. doi:10.1016/j.giq.2011.10.001.CrossRef

Bryer, T. A. (2011). The costs of democratization - social media adaptation challenges within government agencies. Administrative Theory & Praxis, 33(3), 341–361.CrossRef

Capgemini, Rand Europe, IDC, Sogeti, DTi (2012). Public Services Online. Digital by Default or by Detour? Assessing User Centric eGovernment performance in Europe – eGovernment Benchmark 2012. http://ec.europa.eu/digital-agenda/sites/digital-agenda/files/eGov%20Benchmark%202012%20insight%20report%20published%20version%200.1%20_0.pdf. Accessed 22 October 2014.

Carrasco M., & Fetherston J. (2011). Citizens, are you being served? A people-first approach to transforming government services. http://www.bcg.de/documents/file92110.pdf. Accessed 3 November 2014.

Carrasco, M., & Goss, P. (2014). Digital government: turning the rhetoric into reality. https://www.bcgperspectives.com/content/articles/public_sector_center_consumer_customer_insight_digital_government_turning_rhetoric_into_reality/. Accessed 4 November 2014.

Chan, F., Thong, J. Y. L., Venkatesh, V., Brown, S. A., Hu, P.-H., & Tam, K. Y. (2010). Modeling citizen satisfaction with mandatory adoption of an e-government technology. Journal of the Association for Information Systems, 11(10), 519–549.

Chang, I.-C., Li, Y.-C., Hung, W.-F., & Hwang, H.-G. (2005). An empirical study on the impact of quality antecedents on tax payers’ acceptance of Internet tax-filing systems. Government Information Quarterly, 22(3), 389–410. doi:10.1016/j.giq.2005.05.002.CrossRef

Chen, C.-W. (2010). Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems—an empirical study. Information & Management, 47(5–6), 308–315. doi:10.1016/j.im.2010.06.005.CrossRef

Christodoulides, G., & Michaelidou, N. (2011). Shopping motives as antecedents of e-satisfaction and e-loyalty. Journal of Marketing Management, 27(1–2), 181–197. doi:10.1080/0267257X.2010.489815.

Cohen, J. E. (2006). Citizen satisfaction with contacting government on the internet. Information Polity, 11, 51–65.

Creswell, J. W., & Zhang, W. (2009). The application of mixed methods designs to trauma research. Journal of Traumatic Stress, 22(6), 612–621.

D’Avanzo, E., & Kuflik, T. (2013). E-commerce websites services versus buyers expectations: an empirical analysis of the online marketplace. International Journal of Information Technology and Decision Making, 12(4), 651–677.CrossRef

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

Davis, D., Golicic, S., & Boerstler, C. (2011). Benefits and challenges of conducting multiple methods research in marketing. Journal of the Academy of Marketing Science, 39(3), 467–479.CrossRef

Delone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 60–95.

Drolet, A. L., & Morrison, D. G. (2001). Do we really need multiple-item measures in service research? Journal of Service Research, 3(3), 196–204.CrossRef

Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550.

Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: opportunities and challenges. Academy of Management Journal, 50(1), 25–32.CrossRef

Fassnacht, M., & Koese, I. (2006). Quality of electronic services conceptualizing and testing a hierarchical model. Journal of Service Research, 9(1), 19–37.CrossRef

Field, A. (2005). Discovering statistics using SPSS. London, GB: Sage Publications.

Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47–56. doi:10.1016/j.ijinfomgt.2009.03.013.CrossRef

Freed, J. (2009). Travel web sites try waiving fees. Business Week Online, 9.

Georgiadis, C. K., & Stiakakis E. (2010). Extending an e-Government Service Measurement Framework to m-Governement Services. Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), 2010 Ninth International Conference on. IEEE, 2010.

Green, D. T., & Pearson, J. M. (2011). Integrating website usability with the electronic commerce acceptance model. Behaviour & Information Technology, 30(2), 181–199. doi:10.1080/01449291003793785.CrossRef

Groves, R. M. (2004). Survey errors and survey costs: John Wiley & Sons.

Hair, J. F. (2010). Multivariate data analysis. Upper Saddle River: Prentice Hall.

Hermana, B., & Silfianti, W. (2011). Evaluating e-government implementation by local government: digital divide in internet based public services in Indonesia. International Journal of Business and Social Science, 2(3), 156–163.

Homser, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). New York: Wiley.

Horan, T. A., & Abhichandani, T. (2006). Evaluating user satisfaction in an e-government initiative: results of structural equation modeling and focus group discussion. Journal of Information Technology Management, 17(4), 33–44.

Hu, P. J.-H., Brown, S. A., Thong, J., Chan, F., & Tam, K. Y. (2009). Determinants of service quality and continuance intention of online services: the case of eTax. Journal of the American Society for Information Science and Technology, 60(2), 292–306.CrossRef

Hung, S.-Y., Chang, C.-M., & Yu, T.-J. (2006). Determinants of user acceptance of the e-government services: the case of online tax filing and payment system. Government Information Quarterly, 23(1), 97–122. doi:10.1016/j.giq.2005.11.005.CrossRef

Jansen, J., de Vries, S., & van Schaik, P. (2010). The contextual benchmark method: benchmarking e-government services. Government Information Quarterly, 27(3), 213–219.CrossRef

Jiang, X. (2011). Enhancing users’ continuance intention to egovernment portals: An empirical study. Management and Service Science (MASS), 2011 International Conference on. IEEE. 1–4.

Kaisara, G., & Pather, S. (2011). The e-government evaluation challenge: a South African Batho Pele-aligned service quality approach. Government Information Quarterly, 28(2), 211–221. doi:10.1016/j.giq.2010.07.008.CrossRef

Khoshgoftaar, T. M., & Allen, E. B. (1999). Logistic regression modeling of software quality. International Journal of Reliability, Quality and Safety Engineering, 6(4), 303–317.CrossRef

Kleinbaum, D. G. (1994). Logistic regression: A self - learning text. New York: Springer.CrossRef

Kohli, R., Devaraj, S., & Macmood, A. (2004). Understanding determinants of online consumer satisfaction: a decision process perspective. Journal of Management Information Systems, 21(1), 115–135.

Kozinets, R. V. (1998). On netnography: initial reflections on consumer research investigations of cyberculture. Advances in Consumer Research, 25(1), 366–371.

Lai, C., & Pires, G. (2010). Testing of a model evaluating e-government portal acceptance and satisfaction. The Electronic Journal Information Systems Evaluation, 13(1), 35–46.

Lee, G., & Kwak, Y. H. (2012). An open government maturity model for social media-based public engagement. Government Information Quarterly, 29(4), 492–503.CrossRef

Lili, Q. (2009). A framework for perception of citizen demand in e-government services. Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on, 4, 468–471.

Linders, D. (2012). From e-government to we-government: defining a typology for citizen coproduction in the age of social media. Government Information Quarterly, 29(4), 446–454.CrossRef

Liu, Y., Chen, X., Wang, X. (2010). Evaluating government portal websites in China. Pacific Asia Conference on Information Systems, 880–890.

Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage Publications.

Magoutas, B., & Mentzas, G. (2010). SALT: a semantic adaptive framework for monitoring citizen satisfaction from e-government services. Expert Systems with Applications, 37(6), 4292–4300. doi:10.1016/j.eswa.2009.11.071.CrossRef

McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). London, GB: Chapman and Hall.CrossRef

McHaneya, R., Hightowerb, R., & White, D. (1999). EUCS test-retest reliability in representational model decision support systems. Information & Management, 36, 109–119.CrossRef

Meijer, A. J. (2011). Networked coproduction of public services in virtual communities: from a government-centric to a community approach to public service support. Public Administration Review, 71(4), 598–607.CrossRef

Mohamed, N., Hussin, H., & Hissein, R. (2009). Measuring users’ satisfaction with Malaysia’s electronic government systems. Electronic Journal of e-Government, 7(3), 283–294.

Mohamed, N., Hussein, R., Hidayah Ahmad Zamzuri, N., & Haghshenas, H. (2014). Insights into individual’s online shopping continuance intention. Industrial Management & Data Systems, 114(9), 1453–1476. doi:10.1108/IMDS-07-2014-0201.CrossRef

Molina Azorín, J., & Cameron, R. (2010). The application of mixed methods in organisational research: a literature review. Electronic Journal of Business Research Methods, 8(2), 95–105.

Morgeson, F. V., Van Amburg, D., & Mithas, S. (2011). Misplaced trust? Exploring the structure of the e-government-citizen trust relationship. Journal of Public Administration Research and Theory, 21(2), 257–283. doi:10.1093/jopart/muq006.CrossRef

Muylle, S., Moenaert, R., & Despontin, M. (2004). The conceptualization and empirical validation of web site user satisfaction. Information & Management, 41(5), 543–560. doi:10.1016/S0378-7206(03)00089-2.CrossRef

Ong, C.-S., & Chang, S.-C. (2013). Explore the web-site satisfaction and continue use intention by system, behavior and social aspects. The Marketing Review, 10(1), 61–77.

Osman, I. H., Anouze, A. L., Irani, Z., Lee, H., Balcı, A., Medeni, T. D., Weerakkody, V. (2011). A new Cobras framework to evaluate e-government services: A citizen centric perspective. tGov Workshop’11, March.

Ozkan, S., & Kanat, I. E. (2011). E-government adoption model based on theory of planned behavior: empirical validation. Government Information Quarterly, 28(4), 503–513. doi:10.1016/j.giq.2010.10.007.CrossRef

Pampel, F. C. (2000). Logistic regression: A primer Sage University papers series on quantitative applications in the social sciences. Thousand Oaks, CA: Sage Publications.CrossRef

Piehler, R.; Wirtz, B. W.; Daiser, P. (2014). An Analysis of Continuity Intentions of eGovernment Portal Users. Public Management Review: 1–36. DOI: 10.1080/14719037.2014.965270.

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

PwC (2012) A closer look at e-government, http://www.pwc.com/gx/en/psrc/publications/assets/pwc-a-closer-look-at-e-government.pdf. Accessed 15 November 2014.

Pynnonen, M., & Kytola, O. (2008). From business concept innovation to a business system: a case study of a virtual city portal. International Journal of Business Innovation and Research, 2(3), 314–329.CrossRef

Rana, N. P., Williams, M.D., Dwivedi, Y.K., Williams, J. (2011). Diversity and diffusion of theories, models, and theoretical constructs in egovernment research. Electronic Government. 1–12.

Reddick, C. G., & Roy, J. (2013). Business perceptions and satisfaction with e-government: findings from a Canadian survey. Government Information Quarterly, 30(1), 1–9. doi:10.1016/j.giq.2012.06.009.CrossRef

Rossiter, J. R. (2002). The C-OAR-SE procedure for scale development in marketing. International Journal of Research in Marketing, 19(4), 305–335.CrossRef

Roy, J. (2006). E-government and local governance in Canada: an examination of front line challenges and federal tensions. Public Administration and Management, 11(4), 306–350.

Ruxton, G. D. (2006). The unequal variance t-test is an underused alternative to student’s t-test and the Mann–Whitney U test. Behavioral Ecology, 17(4), 688–690.CrossRef

Sackett, P. R., & Larson, J.R. Jr. (1990). Research strategies and tactics in industrial and organizational psychology. In M. D. Dunnette, & L. M. Hough (eds.) Handbook of industrial and organization psychology 2. edition, 419–489.

Saez Vegas, L., & Periáñez Cañadillas, I. (2013). Market orientation in local government through the analysis of municipal website content: a framework for its measurement. Global Journal of Business Research, 7(2), 47–58.

Sandoval-Almazan, R., & Gil-Garcia, J. R. (2012). Are government internet portals evolving towards more interaction, participation, and collaboration? Revisiting the rhetoric of e-government among municipalities. Government Information Quarterly, 29, 72–81.CrossRef

Schellong, A., & Mans, S. (2004). Citizens preferences towards one-stop government. Proceedings of the 2004 annual national conference on Digital government research.

Singha, H., & Singh, H. (2013). E-filing system for tax returns and forms: landmark e-governance initiative by the government of India. Journal of E-Governance, 36, 125–135.

Sung, Y. H., Liu, S. H., Liao, H. L., & Liu, C. M. (2009). Service quality between e-government users and administrators. I-WAYS-The Journal of E-Government Policy and Regulation, 32(4), 241–248.

Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics. New York: HarperCollins.

Tabachnick, B. G., & Fidell, L. S. (2001). Using mulitvariate statistics (4th ed.). Needham Hights, MA: Allyn and Bacon.

Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: an empirical investigation of the ancedents of service quality. MIS Quarterly, 37(1), 77–109.

Tang, R., Zhang, Z., Guan, X., & Wang, L. (2013). A new user segmentation model for e-government. Journal of Electronic Commerce in Organizations (JECO), 11(2), 1–11.CrossRef

Teo, T., Srivastava, S. C., & Jinnang, L. (2008). Trust and electronic government success: an empirical study. Journal of Management Information Systems, 25(3), 99–131.CrossRef

Tolbert, C., & Mossberger, K. (2006). The effects of e-government on trust and confidence in government. Public Administration Review, 66(3), 354–369.CrossRef

Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2012). Exploring the role of espoused values on e-service adoption: a comparative analysis of the US and Nigerian users. Computers in Human Behavior, 28(5), 1768–1781. doi:10.1016/j.chb.2012.04.017.CrossRef

United Nations (2014). United Nations e-government survey 2014: E-government for the future we want. http://unpan3.un.org/egovkb/Portals/egovkb/Documents/un/2014-Survey/E-Gov_Complete_Survey-2014.pdf. Accessed 28 December 2014.

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

Venkatesh, V., Chan, F. K. Y., & Thong, J. Y. L. (2012). Designing e-government services: key service attributes and citizens’ preference structures. Journal of Operations Management, 30(1–2), 116–133. doi:10.1016/j.jom.2011.10.001.CrossRef

Verdegem, P., & Verleye, G. (2009). User-centered e-government in practice: a comprehensive model for measuring user satisfaction. Government Information Quarterly, 26(3), 487–497. doi:10.1016/j.giq.2009.03.005.CrossRef

Wang, Y.-S. (2003). The adoption of electronic tax filing systems: an empirical study. Government Information Quarterly, 20(4), 333–352. doi:10.1016/j.giq.2003.08.005.CrossRef

Waseda University (2013). Waseda University International e-government ranking 2013. Tokyo, Japan. http://www.e-gov.waseda.ac.jp/pdf/Press_Released_on_e-Gov_ranking_2013.pdf. 22 October 2014.

Webster, J., & Ahuja, J. S. (2006). Enhancing the design of web navigation systems: the influence of user disorientation on engagement and performance. MIS Quarterly, 30(3), 661–678.

Wirtz, B. W., & Daiser, P. (2015). E-government: strategy process instruments. Textbook for the Digital Society. http://berndwirtz.com/downloads/WirtzDaiser_2015_E-Government.pdf. Accessed 10 October 2015.

Wirtz, B.W. and Kurtz, O.T. (2016). Determinants of Citizen Usage Intentions in eGovernment. An Empirical Analysis. Public Organization Review, doi:10.1007/s11115-015-0338-7, forthcoming.

Wirtz, B. W., Schilke, O., & Ullrich, S. (2010). Strategic development of business models: implications of the web 2.0 for creating value on the internet. Long Range Planning, 43(2/3), 272–290.CrossRef

Wirtz, B. W., Mory, L., Piehler, R., & Daiser, P. (2014a). Measuring e-government portal management on the local level: results from a survey of public administration officials. International Public Management Review, 15(2), 1–31.

Wirtz, B. W., Nitzsche, P. T., & Ullrich, S. (2014b). User integration in social media: an empirical analysis. International Journal of Electronic Business, 11(1), 63–84.CrossRef

Wirtz, B. W., Piehler, R., & Daiser, P. (2015). E-government portal characteristics and individual appeal: an examination of e-government and citizen acceptance in the context of local administration portals. Journal of Nonprofit & Public Sector Marketing, 27(1), 70–98.CrossRef

Wright, R. E. (1995). Logistic regression. Washington, DC: American Psychological Association.

Youngblood, N. E., & Mackiewicz, J. (2012). A usability analysis of municipal government website home pages in Alabama. Government Information Quarterly, 29(4), 582–588.CrossRef

Zviran, M., & Erlich, Z. (2003). Measuring is user satisfaction: review and implications. Communications of the Association for Information Systems, 12, 81–103.

Titel: Local e-government and user satisfaction with city portals – the citizens’ service preference perspective
verfasst von: Bernd W. Wirtz
Oliver Tuna Kurtz
Publikationsdatum: 20.01.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Review on Public and Nonprofit Marketing / Ausgabe 3/2016
Print ISSN: 1865-1984
Elektronische ISSN: 1865-1992
DOI: https://doi.org/10.1007/s12208-015-0149-0

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 "Wirtschaft"

Weitere Artikel der Ausgabe 3/2016

Measuring the influence of corporate social responsibility on consumer responses

Voter empowerment for emerging democracies: Mobilising the marginalised in Peru

Investigating website appearance and usability effects on student satisfaction with the website: a descriptive analysis in three countries

Consumer responses to CSR in Indian banking sector

Place branding research: a thematic review and future research agenda