Web Survey Bibliography
Title Observations from Twelve Years of an Annual Market Research Technology Survey
Author Macer, T.; Wilson, S.
Year 2016
Access date 25.10.2016
Full text PDF (473 KB)
Abstract
Against the theme of this year’s conference, “Are we there yet? Where technological innovation is leading research” this paper provides evidence-based observations on where technology has led research in the recent past, and where it appears to be leading now.
meaning ltd. has conducted a survey of market research companies around the world each year since 2004, looking at their use of technology. The survey includes a combination of tracking questions on the adoption of technology-based methods to detect long-term trends, as well as topical questions that vary from year to year, some of which are also repeated in subsequent years to measure change.
Now, with 12 years of data, it is possible to draw a number of conclusions about the way in which the research industry interacts with the technology that supports it, and to understand some of the transformations that have taken place. It is also possible to look at some of the areas where the rhetoric and actual experience on the ground have not been aligned and identify some of the challenges which may be unique to the research industry. Developers need to be mindful of such challenges if they are to succeed in providing useful, appropriate technology that will allow the market research Industry to continue to develop, adapt and compete for survival. The aims of this paper are to:
•Quantify significant changes that have occurred in the last decade, as well as identify those
where anticipated change has been slow to materialise;
•Examine some perennial difficulties that the market research industry appears to have with
technology development, adoption and diffusion;
•Highlight some of the current and on-going changes that emerge from the data;
•Identify areas that those developing or providing software need to pay particular attention to when supporting these changes;
•Provide specific recommendations to researchers and technology providers.
meaning ltd. has conducted a survey of market research companies around the world each year since 2004, looking at their use of technology. The survey includes a combination of tracking questions on the adoption of technology-based methods to detect long-term trends, as well as topical questions that vary from year to year, some of which are also repeated in subsequent years to measure change.
Now, with 12 years of data, it is possible to draw a number of conclusions about the way in which the research industry interacts with the technology that supports it, and to understand some of the transformations that have taken place. It is also possible to look at some of the areas where the rhetoric and actual experience on the ground have not been aligned and identify some of the challenges which may be unique to the research industry. Developers need to be mindful of such challenges if they are to succeed in providing useful, appropriate technology that will allow the market research Industry to continue to develop, adapt and compete for survival. The aims of this paper are to:
•Quantify significant changes that have occurred in the last decade, as well as identify those
where anticipated change has been slow to materialise;
•Examine some perennial difficulties that the market research industry appears to have with
technology development, adoption and diffusion;
•Highlight some of the current and on-going changes that emerge from the data;
•Identify areas that those developing or providing software need to pay particular attention to when supporting these changes;
•Provide specific recommendations to researchers and technology providers.
Access/Direct link Conference Homepage (Abstract) / (Full text)
Year of publication2016
Bibliographic typeConference proceedings
Web survey bibliography - Conference proceedings (83)
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Shorter Interviews, Longer Surveys: Optimising the survey participant experience whilst accommodating...; 2016; Halder, A.; Bansal, H. S.; Knowles, R.; Eldridge, J.; Murray, Mi.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- Are interviews costing £0.08 a waste of money? Reviewing Google Surveys for Wisdom of the Crowd...; 2016; Roughton, G.; MacKay, I.
- Observations from Twelve Years of an Annual Market Research Technology Survey; 2016; Macer, T.; Wilson, S.
- A Comparison of the Effects of Face-to-Face and Online Deliberation on Young Students’ Attitudes...; 2015; Triantafillidou, A.; Yannas, P.; Lappas, G.; Kleftodimos, A.
- A Privacy-Friendly Method to Reward Participants of Online-Surveys; 2015; Herfert, M.; Lange, B.; Selzer, A.; Waldmann, U.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
- Is accuracy only for probability samples? Comparing probability and non-probability samples in a country...; 2013; Martinsson, J., Dahlberg, S., Lundmark, S.
- The effect of language in answering qualitative questions in user experience evaluation web-surveys; 2013; Walsh, T., Nurkka, P., Petrie, H., Olson, J.
- Beyond Satisfaction Questionnaires: “Hacking” the Online Survey; 2013; Evans, A. L.
- Advancing the field of questionnaire translation - identifying problems, discussing methods, pushing...; 2013; Behr, D., Dorer, B., Van Houten, G
- European Values Study - methodological and substantive applications; 2013; Luijkx, R., Jagodzinski, W.
- The Impact of Culture and Economy on Values and Attitudes; 2013; Duelmer, H., Voicu, M.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Unintentional mobile respondents; 2012; Peterson, G.
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- Self-administered mobile surveys; 2011; Bosnjak, M.
- Online survey research: Findings, Best practices, and future research; 2011
- Blend, balance, and stabilize respondent sources; 2011; Eggers, M., Drake, E.
- Mode Effect or Question Wording? Measurement Error in Mixed Mode Surveys; 2011; de Leeuw, E. D., Hox, J., Scherpenzeel, A.
- There is an app for that! A review of smartphone apps for marketing research; 2010; Michelson, M.
- The state of online research in the U.S.; 2010; Miller, J.
- A framework for understanding and applying ethical principles in network and security research; 2010; Kenneally, E., Bailey, M., Maughan, D.
- Restructuring and innovations on the survey “capacity of collective tourist accommodation”...; 2010; Santoro, M. T., Staffieri, S.
- An Analyze of the Zero Price Effect on Online Business Performance - An Research Based on the Mobile...; 2010; Liu, Y., Yuan, P.
- Dealing with Nonresponse in Survey Sampling: an Item Response Modeling Approach; 2010; Matei, A.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Response Mode and Bias Analysis in the IRS’ Individual Taxpayer Burden Survey; 2009; Brick, J. M., Contos, G., Masken, K., Nord, R.
- Survey Mode Effects in Two Military Surveys; 2009; Yang, M., Falcone, A. E., Milan, L. M.
- Web based macroseismic survey: fast information exchange and elaboration of seismic intensity effects...; 2009; De Rubeis, V., Sbarra P., Sorrentino, D., Tosi, P.
- The representativeness of the LISS panel ; 2009; Knoef, M., de Vos, K.
- Sample factors that influence data quality; 2008; Gailey, R., Teal, D., Haechrel, E.
- An online panel as a platform for multi-disciplinary research; 2008; Scherpenzeel, A.
- Visual Design Effects on on Respondents Behaviour in Web-Surveys. A Design Experiment; 2008; Greinoecker, A.
- Effects of Privacy Assurances on the Online Measurement of Psychological Constructs; 2008; Witzki, A., Kramer, J.
- How Web 2.0 Technologies Can Become a Valuable Part of Online Research; 2008; Jaron, R.
- Respondent Authenticity - A biometrical approach to authenticate panelists; 2008; Wachter, B., Bender, C.
- Not Mixed-Mode but Switch-Mode; 2008; Höglinger, M., Abraham, M., Arpagaus, J.
- The Impact of Cognitive and Computer Skills on Data Quality in Computer Assisted Self Administered Questionnaires...; 2008; Brecko, B. N., Vehovar, V.
- Optimal Contact Strategy in a Mail-and-Web Mixed Mode Survey; 2008; Holmberg, A., Lorenc, B., Werner, P.
- 10 Years of Meinungsplatz.de: Success in the Collection of Data for Targeted Audiences, Such as the...; 2008; Weyergraf, O.
- Self-selection in Online Access Panels: No “Little Difference” in the Recruiting Process...; 2008; Wirth, T.
- Mobile Market Research; 2008; Maxl, E.
- Online vs. Offline in Mobile Surveys; 2008; Neubarth, W., Maier, U.
- Gender-of-Interviewer Effects in Video-Enhanced Web Surveys. Results from a Randomized Field-Experiment...; 2008; Fuchs, M.
- The Online Use of Randomized Response Measurements; 2008; Snijders, C., Weesie, J.