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 (4086)
- Comments on the Articles (2) - A Failure to Communicate; 2009; Tucker, C.
- Reply to Fahimi et al Comments; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Zero Banks: Coverage Error in List Assisted RDD Samples; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Combining Data from Probability and Non-Probability Samples Using Pseudo-Weights; 2009; Elliott, M. R.
- Respondent-Oriented Interaction Design Reduces Item Nonresponse in Internet Surveys; 2009; Kaczmirek, L.
- Panel Discussion: Does Mixed Mode Help Us Increase Response Rates?; 2009; Kaczmirek, L.
- Applying theory to structure respondents' stated motivations for participating in web surveys; 2009; Han, V., Albaum, G., Wiley, J. B., Thirkell, P.
- The Collected Works of Robert M. Groves, 6 Book Set (Wiley Series in Survey Methodology); 2009; Groves, R. M.
- Complex Surveys: A Guide to Analysis Using R (Wiley Series in Survey Methodology); 2009; Lumley, T. S.
- Applied Survey Methods: A Statistical Perspective (Wiley Series in Survey Methodology); 2009; Bethlehem, J.
- Increasing the use of e-consultation in primary care: Results of an online survey among non-users of...; 2009; Nijland, N., van Gemert-Pijnen, J. E. W. C., Boer, H., Steehouder, M. F., Seydel, E. R.
- Web-based survey attracted age-biased sample with more severe illness than paper-based survey; 2009; Klovning, A., Sandvik, H., Hunskaar, S.
- How To Get Paid Taking Surveys In Your Spare Time!; 2009; Magwood, R.
- Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market...; 2009; Boye Olsen, S.
- Disability and Self-Management Practices of People with Bipolar Disorder: A Web-Based Survey ; 2009; Depp, C. A., Stricker, J. L., Zagorsky, D., Goodale, L. C., Eyler, L. T., Patterson, T. L., Lebowitz...
- Social Attitude Differences between Internet Users and Non-users; 2009; Robinson, J. P., Martin, S. P.
- Online Election Surveys: Keeping the Voters Honest? ; 2009; Gibson, R., McAllister, I.
- A recipe for effective participation rates for web-based surveys ; 2009; Bennett, L., Nair, C. S.
- Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly?; 2009; Vehovar, V., Berzelak, N., Lozar Manfreda, K., Horvat, T., Debevc, M.
- Qualitative Research via Internet: Asynchronous Online Discussions and the Use of WebCT; 2009; Giatsi Clausen, M., Nicol, M., Gill, J.
- 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.
- Using flash type questions – stroke of luck or curse for data quality?; 2009; Laufer, S., Klapproth, U., Noll, S.
- Pause Mechanism in Complex Online Surveys; 2009; Milewski, J.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Generic or Project-Specific Mail? – The Influence of Invitations on Response Behaviour in the...; 2009; Schroll, S.
- Relevance Of Health-Related Online-Information In Offline- And Online-Samples; 2009; Stetina, B. U., McElheney, J., Lehenbauer, M., Hinterberger, E., Pintzinger, N., Kryspin-Exner, I.
- Data Collection online: Can do, must (not) do, Should do; 2009; Diesner, J., Gadeib, A., Lüttschwager, F., Sassinot-Uny, L.
- Three Different Designs of Type Ranking‐Questions; 2009; Sackl, A.
- Usability of Mobile Surveys; 2009; Tarkus, A.
- Gay and Lesbian People: The Use of Online Communication Services; 2009; Lehenbauer, M., Stetina, B. U., Kryspin-Exner, I.
- An Online Study on Coping with Anxiety and Disease-Specific Internet Use in Panic Attack Sufferers; 2009; König, D., Hiebler, C., Kryspin-Exner, I.
- Distortion of demographics through technically induced dropout in restricted online surveys; 2009; Voracek, M., Stieger, S., Goeritz, A.
- An Internet-based Study on Coping with Illness and Attitudes towards Online Health Care in Cancer Patients...; 2009; Setz, J., König, D., Kryspin-Exner, I.
- WebEXEC: A Short Self-Report Measure of Executive Function Suitable for Administration via the Internet...; 2009; Buchanan, T., Heffernan, T. M., Parrott, A. C., Ling, J., Rodgers, J., Scholey, A. B.
- Let's go formative: Continuous student ratings with Web 2.0 application Twitter; 2009; Burger, C., Stieger, S.
- Don't know and no opinion responses in Web surveys; 2009; Mechling, J., Baker, R. P., Couper, M. P.
- Mixed Methods in Online Research; Conceptualisation and Future Research Agenda; 2009; Koller, M., Sinitsa, E.
- Market Research Online and Offline - Differences in output and processing of Qualitative Online and...; 2009; Knorr, H., Krischke-Ramaswamy, M.
- Informal Learning in Virtual Communities. Individual Practice between Information Retrieval, Observation...; 2009; Kahnwald, N.
- Self-Efficacy Of Online Health Seekers; 2009; Stetina, B. U., Schramel, C., Lehenbauer, M., Schawill, W., Kryspin-Exner, I.
- 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.
- SNB - Social Network Barometer; 2009; Drosdow, M., Geißler, H.
- Payments via Paypal as an Incentive in Online Panels; 2009; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- Advertising Effects of Online Video Ads; 2009; Wolf, M., Schönfeldt, J.
- Online election forecasts; 2009; Faas, T., Geißler, H.
- Propensity Score Adjustment for Web Survey of Voting Behavior: A Case in Japan; 2009; Kobayashi, T.
- Why Do I Use the Social Web?” Exploring the Motives of Active and Passive Users via Focus Groups...; 2009; Jers, C., Taddicken, M., Schenk, M.
- Diffusion of Mobile Services Adoption in Taiwan; 2009; Doong, H.-S., Wang, H.-C.