Web Survey Bibliography
Mobile service has become an essence in people’s daily life and the robust basis to promote mobile commerce. Understanding how the mobile service diffuse across a nation has thus become crucial for executives who want to take the first lead on the mobile commerce competition. Using a macro view that is different to the existing mobile service literature, this study aims to reveal the determinants of consumers’ mobile service use behavior: whether the diffusion of mobile services is affected more by mass media advertising and salespeople, or interactions and imitations among acquaintances.
Longitudinal data provided quarterly by the Department of Industrial Technology of the Ministry of Economic Affairs in Taiwan between 1989 to 2008 was examined by three diffusion models. GNUS, a strongly functional language and environment to statistically explore data sets, was used to estimate the parameters of each model. The performance of each diffusion model was then examined using the Akaike AIC and Schwarz BIC statistics.
Findings indicated that (1) acquaintances’ influence in terms of interactions is the dominant factor shaping mobile services’ adoption decision; and (2) the Von Bertalanffy mixed influences model best describes the diffusion pattern of mobile services’ adoption.
As every innovation has its own unique feature, this study may have helped managers to realize that for mobile technology-based products, interpersonal communication rather than mass media advertising is the best way to facilitate their market share. Consequently, to promote m-commerce such as mobile Internet usage or mobile shopping, seeking alliance opportunities with mobile e-mail, mobile messengers, famous Weblogs and Web communities that have been built by intensive user communication and interaction may be an effective tacit. Future studies may explore other macro-level factors (e.g. government policies, infrastructure of mobile services’ connections, government support in the development of mobile handsets and Internet contents) that have not been discussed in this study.
Conference homepage (abstract)
Web survey bibliography - Marketing/business (336)
- Effects of Response Formats when Measuring Attitudes in Consumer Web Surveys Across Markets.; 2011; Couper, M. P., Nunge, E.
- What it takes to be a top 100 website; 2010
- The multidimensional integral business survey response model; 2010; Bavdaz, M.
- Site-intercpet survey best practices; 2010; Henning, J.
- Overview of data collection methodology; 2010
- Demographics of mechanical Turk. Ceder working papers; 2010; Ipeirotis, P. G.
- Innovative mobile research in developing countries; 2010; Bellity, E.
- Mobile location based research: Cross cultural examination of coffee culture; 2010; Morden, M., Ferneyhough, C., Grenville, A.
- Online research….and all that Jazz!; 2010; Gittelman, S. H., Trimarchi, E.
- Why are we trying to create new communities for market research purposes?; 2010; Pearson, C., Kateley, V.
- Globalpark Annual Market Research Software Survey 2009; 2010; Macer, T., Wilson, S.
- An Analyze of the Zero Price Effect on Online Business Performance - An Research Based on the Mobile...; 2010; Liu, Y., Yuan, P.
- From clipboards to online research communities; 2010; Poynter, R., Cierpicki, S., Lorch, J., Zuo, B., Davis, C., Eddy, C.
- Codebook and explanatory note on the WageIndicator dataset ; 2010; Tijdens, K., van Zijl, S., Hughie-Williams, M., van Klaveren, M., Steinmetz, S.
- When the water is right.; 2010; Andruss, P.
- Time Related Inconsistencies in Global Online Panels; 2010; Gittelman, S. H., Trimarchi, E.
- Study of Non-Probability Sample Internet Surveys' Estimates of Consumer Product Usage and Demographic...; 2010; Yeager, D. S., Carter, A., Tewoldemedhin, H., Krosnick, J. A.
- Testing the Applicability of Respondent Driven Sampling as an Online Research Method to Sample Hidden...; 2010; Pajak, D.
- Enrichment of Qualitative Research through Online Approaches: New Insights due to Online CoCreation...; 2010; Krischke-Ramaswamy, M., Knorr, H.
- Theoretical model of context-sensitive mobile methods; 2010; Maxl, E.
- Using Propensity Score Weighting to Reduce Bias of a Swiss Market Research Web Panel; 2010; Wiegand, G., Jella, H., Beat, H., Stefan, L.
- Designing Web Surveys in Marketing Research: Does Use of Forced Answering Affect Completion Rates?; 2010; Albaum, G., Roster, C. A.,Wiley, J. B., Rossiter, J., Smith, S. M.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- An Experiment With an Employment Sector Question; 2010; Finno, A. A., Kohout, J.
- Online polls burnish image - Daily tracking surveys are increasingly used by companies with dents on...; 2010; Bialik, C.
- Using the Delphi method to engage stakeholders: A comparison of two studies; 2010; Geist, M. R.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Exploring mode effects in a panel survey of new businesses; 2009; Santos, B., DesRoches, D.
- The 2008 Confirmit Annual Market Research Software Survey; 2009; Macer, T., Wilson, S.
- Measuring Internet And Press Audience In The Media Convergence Era. In Search Of A New Paradigm In Researching...; 2009; Pawlak, J., Póltorak, M.
- The Decline And Fall Of The Response Rate: The Fightback ; 2009; Green, A., Staplehurst, S., Windle, R.
- Effects of incentives and the Big Five personality dimensions on internet panellists' ratings; 2009; Larson, A. J., Sachau, D. A.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.
- Factors Contributing to Participation in Web‐based Surveys among Italian University Graduates; 2009; Cimini, C., Girottu, C., Gasperoni, G.
- Integration of different data collection techniques using the propensity score; 2009; Camillo, F., Conti, V., Ghiselli, S.
- The Effect of Email Invitation Customization on Survey Completion Rates in an Internet Panel: A Meta...; 2009; Callegaro, M., Kruse, Y., Thomas, M., Nukulkij, P.
- Comparison Study of Early Adopter Attitudes and Online Behavior in Probability and Non-Probability Web...; 2009; Dennis, J. M., Osborn, L., Semans, K.
- Turning Grid Questions into Sequences in Business Web Surveys; 2009; Haraldsen, G., Bergstrøm, Y.
- The Electronic Questionnaire Experience in Business Surveys: mode effects on quality and on response...; 2009; Biffignandi, S., Siesto, G., Zeli, A.
- Findings from consumer surveys on Internet Shopping: A comparison of pre and post study consumer research...; 2009; Anonymous
- Representativeness of Mobile Internet Surveys - A comparative study of CAMI vs. CATI ; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- The use of online data-collection in financial services market measurement research : the FRS experience...; 2009; Cooke, M., Watkins, N.
- Market Research Online and Offline - Differences in output and processing of Qualitative Online and...; 2009; Knorr, H., Krischke-Ramaswamy, M.
- Volumetric Forecast based on Online Access Panels; 2009; Rodenhausen, T., Drewes, F.
- How representative are sentiments expressed in social media for the marketing target audience? A comparison...; 2009; Jarchow, C., Thomas, J.
- Advertising Effects of Online Video Ads; 2009; Wolf, M., Schönfeldt, J.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.
- AGOF internet facts – increasing the response rate for onsite-surveys; 2009; Foerstel, H.