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<title>Journal of Targeting, Measurement and Analysis for Marketing - Issue</title>
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<title>Cultural and age-related differences in reliability: An empirical study in the United States, Japan and Malaysia</title>
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<dc:title>Cultural and age-related differences in reliability: An empirical study in the United States, Japan and Malaysia</dc:title>
<dc:subject>reliability</dc:subject>
<dc:subject>measurement</dc:subject>
<dc:subject>cultures</dc:subject>
<dc:subject>subcultures</dc:subject>
<dc:subject>aging</dc:subject>
<dc:creator>George P Moschis</dc:creator>
<dc:creator>Fon Sim Ong</dc:creator>
<dc:creator>Masoud Abessi</dc:creator>
<dc:creator>Takako Yamashita</dc:creator>
<dc:creator>Anil Mathur</dc:creator>
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<dc:identifier>doi:10.1057/jt.2011.15</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 141 (September 2011)</dc:source>
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<title>The impact of scale width on responses for multi-item, self-report measures</title>
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<dc:title>The impact of scale width on responses for multi-item, self-report measures</dc:title>
<dc:subject>scale width</dc:subject>
<dc:subject>response options</dc:subject>
<dc:subject>measurement scales</dc:subject>
<dc:subject>information processing</dc:subject>
<dc:subject>psychometrics</dc:subject>
<dc:creator>Reto Felix</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.16</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 153 (September 2011)</dc:source>
<dc:date>November 14, 2011</dc:date>
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<title>Model-based post hoc segmentation (with REBUS-PLS) for capturing heterogeneous consumer behaviour</title>
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<dc:title>Model-based post hoc segmentation (with REBUS-PLS) for capturing heterogeneous consumer behaviour</dc:title>
<dc:subject>PLS</dc:subject>
<dc:subject>SEM</dc:subject>
<dc:subject>segmentation</dc:subject>
<dc:subject>consumer behaviour</dc:subject>
<dc:subject>latent class</dc:subject>
<dc:subject>path modelling</dc:subject>
<dc:creator>Mehmet Mehmetoglu</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.17</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 165 (September 2011)</dc:source>
<dc:date>November 21, 2011</dc:date>
<prism:publicationName>Journal of Targeting, Measurement and Analysis for Marketing</prism:publicationName>
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<title>Corporate blogs as tools for consumer segmentation-using cluster analysis for consumer profiling</title>
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<dc:title>Corporate blogs as tools for consumer segmentation-using cluster analysis for consumer profiling</dc:title>
<dc:subject>internet marketing</dc:subject>
<dc:subject>CRM</dc:subject>
<dc:subject>consumer profiling</dc:subject>
<dc:subject>corporate blogs</dc:subject>
<dc:subject>marketing communication</dc:subject>
<dc:subject>Web 2.0</dc:subject>
<dc:creator>Vandana Ahuja</dc:creator>
<dc:creator>Yajulu Medury</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.18</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 173 (September 2011)</dc:source>
<dc:date>November 28, 2011</dc:date>
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<title>Measuring the effects of dating websites’ investments in user self-presentation and peer-interactivity on firm performance</title>
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<dc:title>Measuring the effects of dating websites’ investments in user self-presentation and peer-interactivity on firm performance</dc:title>
<dc:subject>internet marketing</dc:subject>
<dc:subject>self-presentation</dc:subject>
<dc:subject>peer-interactivity</dc:subject>
<dc:subject>online dating</dc:subject>
<dc:subject>web investment</dc:subject>
<dc:subject>structural equation modelling</dc:subject>
<dc:creator>Jiyao Xun</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.19</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 183 (September 2011)</dc:source>
<dc:date>December 5, 2011</dc:date>
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<title>Satisfaction-based segmentation: Application of Kano model in Indian fast food industry</title>
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<dc:title>Satisfaction-based segmentation: Application of Kano model in Indian fast food industry</dc:title>
<dc:subject>fast food</dc:subject>
<dc:subject>KANO model</dc:subject>
<dc:subject>satisfaction-based segmentation</dc:subject>
<dc:subject>two step cluster analysis</dc:subject>
<dc:subject>categorical regression</dc:subject>
<dc:creator>Abhilash Ponnam</dc:creator>
<dc:creator>Debajani Sahoo</dc:creator>
<dc:creator>Makam Balaji</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.20</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 195 (September 2011)</dc:source>
<dc:date>November 28, 2011</dc:date>
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<title>Selecting a suitable method of data mining for successful forecasting</title>
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<dc:title>Selecting a suitable method of data mining for successful forecasting</dc:title>
<dc:subject>data mining</dc:subject>
<dc:subject>knowledge discovery</dc:subject>
<dc:subject>CRISP</dc:subject>
<dc:subject>school performance</dc:subject>
<dc:subject>forecasting</dc:subject>
<dc:subject>decision tree</dc:subject>
<dc:creator>Yas Alsultanny</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.21</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 207 (September 2011)</dc:source>
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<title>Influence of consumers’ susceptibility to interpersonal influence, collective self-esteem and age on fashion clothing involvement: A study on Indian consumers</title>
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<dc:title>Influence of consumers’ susceptibility to interpersonal influence, collective self-esteem and age on fashion clothing involvement: A study on Indian consumers</dc:title>
<dc:subject>normative influence</dc:subject>
<dc:subject>self-identity</dc:subject>
<dc:subject>age</dc:subject>
<dc:subject>fashion clothing involvement</dc:subject>
<dc:subject>India</dc:subject>
<dc:creator>Arpita Khare</dc:creator>
<dc:creator>Ankita Mishra</dc:creator>
<dc:creator>Ceeba Parveen</dc:creator>
<dc:creator>Rajlaxmi Srivastava</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.22</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 227 (September 2011)</dc:source>
<dc:date>December 5, 2011</dc:date>
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<title>A framework for assessment of brand loyalty score for commodities</title>
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<dc:title>A framework for assessment of brand loyalty score for commodities</dc:title>
<dc:subject>commodity brand loyalty</dc:subject>
<dc:subject>Analytical hierarchy process</dc:subject>
<dc:subject>Structural equation modeling</dc:subject>
<dc:subject>questionnaire survey</dc:subject>
<dc:creator>Murugesan Punniyamoorthy</dc:creator>
<dc:creator>Balasubramanian Mahadevan</dc:creator>
<dc:creator>Nanda Kishore Shetty</dc:creator>
<dc:creator>Ganesan Lakshmi</dc:creator>
<dc:creator />
<dc:identifier>doi:10.1057/jt.2011.23</dc:identifier>
<dc:source>Journal of Targeting, Measurement and Analysis for Marketing 19, 243 (September 2011)</dc:source>
<dc:date>December 5, 2011</dc:date>
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