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Consumer Perspective upon the Marketing of Online Surveys. (2016). Moise, Daniel ; Boboc, Larisa .
In: International Conference on Marketing and Business Development Journal.
RePEc:aes:icmbdj:v:2:y:2016:i:1:p:150-156.

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  1. Available at: http://www.surveypractice.org/index.php/SurveyPractice/article/view/19/html [Accessed 23 March 2016].
    Paper not yet in RePEc: Add citation now
  2. EMARKETER, 2014. 2 billion consumers worldwide to get smart (phones) by 2016 – eMarketer.[online] Available at: http://www.emarketer.com/Article/2-Billion-Consumers-Worldwide-Smartphones-by2016 /1011694 (2014) [Accessed 23 March 2016].
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  3. Journal of Computer Information SystemS, 85–96 LEE, W.,K. 2014. The temporal relationships among habit, intention and is uses. Computer Human Behavior, 32, 54–60.
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  4. KIM, S. & YOON, D. 2013.Antecedents of mobile app usage among smartphone users.American Academy of Advertising Conference Proceedings, Norman, 72–83 HEW, J. & LEE, V. 2015. What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data, 115 (7), 1269–1291
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  5. LIEBE, U., GLENK, K., OEHLMANN, M. & MEYERHOFF, J. 2015. Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour in web surveys? Journal of Choice Modelling, 14, 17-31.

  6. MILLAR, M. & DILLMAN, D. 2012.Encouraging survey response via smartphones: effects on respondents' use of mobile devices and survey response rates, Survey Practices, 5(4), [online].
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  7. PEYTCHEV,A. & HILL, C. 2010.Experiments in mobile web survey design: similarities to other modes and unique considerations, Social Sciences Computing Rev., 28, 319–335.
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  8. STERN, M., BILGEN, I. & DILLMAN, D. 2014.The state of survey methodology: challenges, dilemmas, and new frontiers in the era of the tailored design, Field Methods, 26, 284–301.
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  9. YANG, H. 2013. Bon appetit for apps: young American consumers' acceptance of mobile applications.
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    RePEc:wly:apecpp:v:45:y:2023:i:2:p:744-761.

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  2. A minute of your time: The impact of survey recruitment method and interview location on the value of travel time. (2023). Jordbakke, Guri N ; Hulleberg, Nina ; Sundfor, Hanne B ; Jong, Gerard ; Kouwenhoven, Marco ; Flugel, Stefan ; Halse, Askill H ; Lindhjem, Henrik.
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    RePEc:kap:transp:v:50:y:2023:i:5:d:10.1007_s11116-022-10287-8.

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  3. Ponderous, Proficient or Professional? Survey Experience and Smartphone Effects in Stated Preference Research. (2022). Lindhjem, Henrik ; Grimsrud, Kristine ; Sandorf, Erlend Dancke.
    In: Environmental & Resource Economics.
    RePEc:kap:enreec:v:81:y:2022:i:4:d:10.1007_s10640-022-00654-5.

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  4. Matching and weighting in stated preferences for health care. (2022). Turner, Alex J ; Poulos, Christine ; Boeri, Marco ; Vass, Caroline M.
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  5. Immediate and informative feedback during a pandemic: Using stated preference analysis to predict vaccine uptake rates. (2021). Vasquez, William F ; Aliceaplanas, Jessica ; Trudeau, Jennifer M.
    In: Health Economics.
    RePEc:wly:hlthec:v:30:y:2021:i:12:p:3123-3137.

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  6. Scope Elasticity of Willingness to pay in Discrete Choice Experiments. (2021). Navrud, Stale ; Grimsrud, Kristine ; Dugstad, Anders ; Lindhjem, Henrik ; Kipperberg, Gorm.
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  7. Scope elasticity and economic significance in discrete choice experiments. (2020). Grimsrud, Kristine ; Dugstad, Anders ; Navrud, Stle ; Lindhjem, Henrik ; Kipperberg, Gorm.
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  8. Acceptance of national wind power development and exposure. A case-control choice experiment approach. (2020). Navrud, Stle ; Lindhjem, Henrik ; Kipperberg, Gorm ; Grimsrud, Kristine ; Dugstad, Anders.
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  9. Using Individualised Choice Maps to Capture the Spatial Dimensions of Value Within Choice Experiments. (2020). Ferrini, Silvia ; burton, michael ; Bateman, Ian ; Badura, Tomas ; Binner, Amy.
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  10. Acceptance of wind power development and exposure – Not-in-anybodys-backyard. (2020). Navrud, Stle ; Lindhjem, Henrik ; Kipperberg, Gorm ; Grimsrud, Kristine ; Dugstad, Anders.
    In: Energy Policy.
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  11. Look at that! - The effect pictures have on consumer preferences for in ovo gender determination as an alternative to culling male chicks. (2019). Musshoff, Oliver ; Danne, Michael ; Reithmayer, Corrinna.
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  12. A web survey application of real choice experiments. (2019). Spiller, Achim ; von Meyer-Hofer, Marie ; Glenk, Klaus ; Liebe, Ulf.
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  13. Are non-monetary payment modes more uncertain for stated preference elicitation in developing countries?. (2019). Navrud, Stle ; Vondolia, Godwin K.
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  14. Smartphone and tablet effects in contingent valuation web surveys – No reason to worry?. (2019). Navrud, Stale ; Skjeflo, Sofie ; Lindhjem, Henrik ; Aa, Magnus.
    In: Ecological Economics.
    RePEc:eee:ecolec:v:165:y:2019:i:c:9.

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  15. Psychological influence on survey incentives: valuing climate change adaptation benefits in agriculture. (2018). Wilson, Clevo ; Managi, Shunsuke ; Lee, Boon ; Hoang, Viet-Ngu ; Gifford, Robert ; Khanal, Uttam.
    In: Environmental Economics and Policy Studies.
    RePEc:spr:envpol:v:20:y:2018:i:2:d:10.1007_s10018-017-0195-4.

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  16. Marine trade-offs: Comparing the benefits of off-shore wind farms and marine protected areas. (2016). Hanley, Nick ; Czajkowski, Mikolaj ; Budzinski, Wiktor ; Budziski, Wiktor ; Nmmann, Sulev ; Karleva, Aljona ; Urbel-Piirsalu, Evelin .
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    RePEc:eee:eneeco:v:55:y:2016:i:c:p:127-134.

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  17. Consumer Perspective upon the Marketing of Online Surveys. (2016). Moise, Daniel ; Boboc, Larisa .
    In: International Conference on Marketing and Business Development Journal.
    RePEc:aes:icmbdj:v:2:y:2016:i:1:p:150-156.

    Full description at Econpapers || Download paper

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