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  • Dolnicar, Sara  (8)
  • 2005-2009  (8)
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  • 2005-2009  (8)
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  • 1
    Online Resource
    Online Resource
    Environmentally Friendly Behavior : Can Heterogeneity Among Individuals and Contexts/ Environments Be Harvested for Improved Sustainable Management?
    SAGE Publications ; 2009
    In:  Environment and Behavior Vol. 41, No. 5 ( 2009-09), p. 693-714
    Details
    In: Environment and Behavior, SAGE Publications, Vol. 41, No. 5 ( 2009-09), p. 693-714
    Abstract: The study of behavior with environmental consequences (recycling, water conservation, etc.) has received significant attention from social scientists over the past few decades. However, few studies have closely examined the systematic heterogeneity of behavior with environmental consequences. This study tests two specific hypotheses about such heterogeneity: that individuals differ systematically in their patterns of behavior with environmental consequences and that behavioral patterns systematically differ between context/environments. Both hypotheses are investigated empirically in the home and vacation environment. Results support the assumption that systematic differences in behavioral patterns exist across individuals. With respect to context/environment dependence, some groups of individuals do not change their behavior much between contexts/environments. The majority, however, tend to engage in fewer proenvironmental behaviors in the vacation context. These findings have significant implications for environmentally sustainable management, both for local councils and tourism destinations.
    Type of Medium: Online Resource
    ISSN: 0013-9165 , 1552-390X
    URL: Article
    DOI: 10.1177/0013916508319448
    RVK:
    MN 1000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 1500133-7
    detail.hit.zdb_id: 280662-9
    SSG: 5,2
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  • 2
    Online Resource
    Online Resource
    Challenging “Factor–Cluster Segmentation”
    SAGE Publications ; 2008
    In:  Journal of Travel Research Vol. 47, No. 1 ( 2008-08), p. 63-71
    Details
    In: Journal of Travel Research, SAGE Publications, Vol. 47, No. 1 ( 2008-08), p. 63-71
    Abstract: The concept of market segmentation has been widely accepted and warmly embraced both by tourism industry and academia. In tourism research, this increased interest in segmentation studies has led to the emergence of a standard research approach. Most notably a concept referred to as “factor–cluster segmentation” has been broadly adopted. The aim of this article is to demonstrate that this approach is not generally the best procedure to identify homogeneous groups of individuals (market segments).
    Type of Medium: Online Resource
    ISSN: 0047-2875 , 1552-6763
    URL: Article
    DOI: 10.1177/0047287508318910
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2008
    detail.hit.zdb_id: 2036634-6
    SSG: 14
    SSG: 3,2
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  • 3
    Online Resource
    Online Resource
    Assessing analytical robustness in cross‐cultural comparisons
    Emerald ; 2007
    In:  International Journal of Culture, Tourism and Hospitality Research Vol. 1, No. 2 ( 2007-06-12), p. 140-160
    Details
    In: International Journal of Culture, Tourism and Hospitality Research, Emerald, Vol. 1, No. 2 ( 2007-06-12), p. 140-160
    Abstract: The purpose of this paper is to critically review past recommendations to correct for cultural biases in empirical survey data sets, and propose a framework that enables the researcher to assess the robustness of empirical findings from culture‐specific response styles (CSRS). Design/methodology/approach The paper proposes to analyze a set of derived data sets, including the original data as well as data corrected for response styles using theoretically plausible correction methods for the empirical data at hand. The level of agreement of results across correction methods indicates the robustness of findings to possible contamination of data by cross‐cultural response styles. Findings The proposed method can be used to inform researchers and data analysts about the extent to which the validity of their conclusions is threatened by data contamination and provides guidance regarding the results that can safely be reported. Practical implications Response styles can distort survey findings. CSRS are particularly problematic for researchers using multicultural samples because the resulting data contamination can lead to inaccurate conclusions about the research question under study. Originality/value The proposed approach avoids the disadvantages of ignoring the problem and interpreting spurious results or choosing one single correction technique that potentially introduces new kinds of data contamination.
    Type of Medium: Online Resource
    ISSN: 1750-6182
    URL: Article
    DOI: 10.1108/17506180710751687
    Language: English
    Publisher: Emerald
    Publication Date: 2007
    detail.hit.zdb_id: 2276899-3
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Response Style Contamination of Student Evaluation Data
    SAGE Publications ; 2009
    In:  Journal of Marketing Education Vol. 31, No. 2 ( 2009-08), p. 160-172
    Details
    In: Journal of Marketing Education, SAGE Publications, Vol. 31, No. 2 ( 2009-08), p. 160-172
    Abstract: Student evaluation surveys provide instructors with feedback regarding development opportunities and they form the basis of promotion and tenure decisions. Student evaluations have been extensively studied, but one dimension hitherto neglected is the actual measurement aspect: which questions to ask, how to ask them, and what answer options to offer to students to get the most valid results. This study investigates whether cross-cultural response styles affect the validity of student evaluations. If they do, then the student mix in a class can affect an instructor's evaluation, potentially producing biased feedback and prompting inappropriate decisions by university committees. This article discusses two main response styles, demonstrates the nature of the bias they can cause in student evaluation surveys using simulated artificial data, and illustrates three cases based on real student evaluation data in which marketing instructors' teaching quality assessments may be heavily biased because of response styles. The authors propose a simple method to check for response style contamination in student evaluation data and they discuss some practical implications.
    Type of Medium: Online Resource
    ISSN: 0273-4753 , 1552-6550
    URL: Article
    DOI: 10.1177/0273475309335267
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 2020298-2
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    How constrained a response: A comparison of binary, ordinal and metric answer formats
    Elsevier BV ; 2007
    In:  Journal of Retailing and Consumer Services Vol. 14, No. 2 ( 2007-3), p. 108-122
    Details
    In: Journal of Retailing and Consumer Services, Elsevier BV, Vol. 14, No. 2 ( 2007-3), p. 108-122
    Type of Medium: Online Resource
    ISSN: 0969-6989
    URL: Article
    DOI: 10.1016/j.jretconser.2006.09.006
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
    detail.hit.zdb_id: 2020784-0
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    Cross‐cultural differences in survey response patterns
    Emerald ; 2007
    In:  International Marketing Review Vol. 24, No. 2 ( 2007-04-24), p. 127-143
    Details
    In: International Marketing Review, Emerald, Vol. 24, No. 2 ( 2007-04-24), p. 127-143
    Abstract: The existence of variable response styles represents a major threat to the correct interpretation of market research findings. In international marketing, this threat is further increased due to samples of respondents from different cultural backgrounds. The purpose of this paper is to extend the investigation of differences in cross‐cultural response styles by studying full response patterns instead of extreme values, quantify the extent of the potential mistake of not accounting for cross‐cultural differences in response behaviour and present a simple way of testing whether or not data sets from various cultural backgrounds can be used without correcting for cross‐cultural response styles. Design/methodology/approach Two independent data sets are used. Extreme response style (ERS) scores are compared by testing for equality of proportions. Respondents' answer patterns are partitioned using the k ‐means algorithm, the resulting differences between cultures tested using a Fisher's exact test for count data. The extent of inter‐cultural difference in responses is assessed using ANOVA. Findings Asian and Australian respondents differ significantly in ERS and full response patterns. Differences in cross‐cultural response patterns account for up to 6 per cent of the variance in the data, thus representing a significant potential source for misinterpretation in cross‐cultural studies. Practical implications International market researchers using samples including respondents from more than one cultural background have to be aware of the potential source of misinterpretation caused by cross‐cultural differences in response patterns. A simple ANOVA‐based procedure allows researchers to determine whether data can be used in its uncorrected form. Originality/value The paper investigates cross‐cultural response styles for new groups of respondents (Australian vs Asian), extends the study from the investigation of extreme values to full response patterns and gives market researchers in the international marketing context an indication of how high the level of potential misinterpretation can be and presents a simple means of checking how necessary it is to account for cross‐cultural differences in response behaviour.
    Type of Medium: Online Resource
    ISSN: 0265-1335
    URL: Article
    DOI: 10.1108/02651330710741785
    Language: English
    Publisher: Emerald
    Publication Date: 2007
    detail.hit.zdb_id: 2032066-8
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    Does One Size Fit All? The Suitability of Answer Formats for Different Constructs Measured
    SAGE Publications ; 2009
    In:  Australasian Marketing Journal Vol. 17, No. 1 ( 2009-05), p. 58-64
    Details
    In: Australasian Marketing Journal, SAGE Publications, Vol. 17, No. 1 ( 2009-05), p. 58-64
    Abstract: Survey research is used to investigate a variety of different constructs, such as beliefs, behavioural intentions, perceptions, preferences and so on. Despite the wide range of constructs studied by social scientists, the ordinal answer format tends to be used across the majority of survey research studies. We challenge this standard approach in survey research by hypothesizing that the ordinal answer format is not optimal under all circumstances. Instead, we propose that the suitability of answer formats depends on the construct measured. We conduct a repeat measurement study using binary, ordinal and metric answer formats measuring two different constructs: beliefs and behavioural intentions. A clear interaction effect between answer formats and constructs is revealed. This supports the notion that no single answer format is optimal for all research problems, but that some constructs are naturally more suitable for certain answer formats than others. These findings call for increased use of pre-studies to determine the optimal answer format before fieldwork is conducted rather than relying on standard answer formats.
    Type of Medium: Online Resource
    ISSN: 1839-3349 , 1839-3349
    URL: Article
    DOI: 10.1016/j.ausmj.2009.04.001
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Question Stability in Brand Image Measurement: Comparing Alternative Answer Formats and Accounting for Heterogeneity in Descriptive Models
    SAGE Publications ; 2007
    In:  Australasian Marketing Journal Vol. 15, No. 2 ( 2007-12), p. 26-41
    Details
    In: Australasian Marketing Journal, SAGE Publications, Vol. 15, No. 2 ( 2007-12), p. 26-41
    Abstract: High quality image data on how consumers perceive brands is essential to make good brand management decisions. Prior studies reveal that brand images are not very reliable, as they are typically measured in industry, which might be due to the answer format typically used (Rungie et al., 2005). The practical implication is that brand image data — as currently collected in consumer surveys — is not a valid source of market information. We challenge this implication. Using three measures of stability we test whether the binary answer format produces image data less reliable than alternative formats. We investigate whether the aggregate descriptive model of brand image stability proposed by Rungie et al. can be improved by accounting for heterogeneity. Results indicate that, compared to alternative formats, binary answer formats lead to equal stability levels, and most brand-attribute associations are stable. Unstable associations typically fail to describe adequately the brands under study. Practical implications include that binary brand-attribute associations can be used safely to measure brand images. Also, practitioners can get guidance about required brand management measures by discriminating between stable and unstable brand-attribute associations. A model that helps managers classify brand-attribute associations into stable or unstable is proposed in the article.
    Type of Medium: Online Resource
    ISSN: 1839-3349 , 1839-3349
    URL: Article
    DOI: 10.1016/S1441-3582(07)70041-1
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2007
    SSG: 3,2
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