Web Survey Bibliography
Purpose – The electronic social media such as Twitter, Facebook, MySpace, etc. have become a major form of communication, and the expression of attitudes and opinions, for the general public. Recently, they have also become a source of data for market researchers. This paper aims to provide a critical look at the advantages and limitations of such an approach to understanding brand perceptions and attitudes in the market place. Although the social media provide a wealth of data for automated content analyses, this review questions the validity and reliability of this research approach, and concludes that social media monitoring (SMM) is a poor substitute for in-depth qualitative research which has many advantages and benefits.
Design/methodology/approach – The paper presents a detailed, systematic comparison of various research approaches. These include well-established methods and recent inventions which are in use to explore and understand consumer behaviour and attitudes. Particular attention is given to the analysis of spontaneous consumer attitudes as expressed through the social media and also in qualitative research interviews.
Findings – This analysis concludes that there are three critical features which differentiate qualitative research (as practised in IDIs and group discussions) from SMM. These are: the direct, interactive dialogue or conversation between consumers and researchers; the facility to “listen” and attend to the (sometimes unspoken) underlying narrative which connects consumers' needs and aspirations, personal goals and driving forces to behaviour and brand choice; and the dynamic, interactive characteristics of the interview that achieve a meeting of minds to produce a shared understanding. Philosophically, it is this “conversation” that gives qualitative research its validity and authenticity which makes it superior to SMM.
Originality/value – This review questions the validity and reliability of the SMM, and concludes that it is a poor substitute for in-depth qualitative research which has many advantages and benefits.
Journal Homepage (abstract) / (full text)
Web Survey Bibliography - Marketing/business (693)
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- Survey quality prediction system 2.0; 2013
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Measuring wages via a volunteer web survey – a cross-national analysis of item nonresponse; 2013; Steinmetz, S., Annmaria, B.
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Prison break: Releasing offline experiments from methodological constraints by transforming them into...; 2013; Förstel, H., Manthei, K., Mohnen, A., Berger, G.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- 'Ready to complete the survey on Facebook': Web 2.0 as a research tool in business studies; 2013; Gregori, A., Baltar, F.
- Worldwide online research spending; 2012
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.
- Unintentional mobile respondents; 2012; Peterson, G.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Not just playing around; 2012; Ewing, T.
- MRS Guidelines for online reseach; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Mobile email opens report 2nd half 2011; 2012
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Global market research 2012; 2012
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Qualitatively Speaking: The five absolute, no-excuse must-dos for online qualitative researchers; 2012; Rossow, A.
- By the Numbers: Lessons for using online panels in B2B research; 2012; Elsner, N.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Developments and the impact of smart technology; 2012; Macer, T.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Research in the Mobile Mindset: Exploring the unexplored in the mobile research space; 2012; Willems, A., Veris, E., Verhaeghe, A.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Improving Representativeness In Online Surveys Using A Combined Internet/Postal Approach: Evidence From...; 2012; Atorough, P., Donaldson, B., Harris, A.
- Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment.; 2012; Potoglou, D., Kanaroglou, P. S., Robinson, N.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Measuring work activities and skill requirements of occupations: Experiences from a European pilot study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- Myths and realities of respondent engagement in online surveys; 2012; Downes-Le Guin, T., Baker, R. P., Mechling, J., Ruyle, E.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- Demonstration of an Integrated Sample Management System for a Mixed Mode (Paper/Web) Survey; 2012; Ullman, E., Peng, H., Helppie McFall, B.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T.,
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.