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Psychographic

About: Psychographic is a research topic. Over the lifetime, 1307 publications have been published within this topic receiving 39696 citations.


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Book
01 Jan 1993
TL;DR: Based on recent focus group research, it shows marketers how to spot and take advantage of emerging trends in the lucrative kids' market as mentioned in this paper, including demographic and psychographic information, plus numerous real-world examples of how companies are discovering what works - and what doesn't - in marketing to children as purchasers themselves, as well as instigators of their parents' purchases.
Abstract: The two-career American household has spawned a generation of wise-beyond-their-years children with unprecedented influence over all kinds of family purchases, from food and clothes to cars and computers - worth $70 billion in sales a year. This work teaches marketing and advertising professionals how to tap into this largely overlooked and powerful consumer bloc. Based on recent focus group research, it shows marketers how to spot and take advantage of emerging trends in the lucrative kids' market. In addition, there is demographic and psychographic information, plus numerous real-world examples of how companies are discovering what works - and what doesn't - in marketing to children as purchasers themselves, as well as instigators of their parents' purchases.

72 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined whether and how second-hand clothing shoppers differ from non-shoppers on various psychographic variables, including environmentalism, perception of contamination, price sensitivity and perception of vintage clothing.
Abstract: Purpose – The study aims to examine whether and how second-hand clothing shoppers differ from non-shoppers on various psychographic variables, including environmentalism, perception of contamination, price sensitivity and perception of vintage clothing. Additionally, this study hopes to uncover whether and how the aforementioned psychographic variables help predict second-hand clothing shopping behaviour, specifically shopping frequency at second-hand clothing stores. Design/methodology/approach – Data were collected through a survey method from 152 college students. Findings – Results showed that college students who shopped at second-hand clothing stores were more likely to be environmentally conscious, more sensitive to higher prices and more likely to wear used clothing to express a vintage look and to be “green”, and to perceive used clothing to be less contaminated, as compared to those who did not shop at second-hand clothing stores. This study concluded that, among college students, second-hand cl...

72 citations

Journal ArticleDOI
TL;DR: In this paper, a cross-validation of Plog's model was achieved through three personality trait measures and a modified Nickerson scale, which broadens the behavioral foundations of psychographic research within the travel literature.
Abstract: Correlation analysis is used to examine the association between Plog's instrument, underlying theoretical constructs, and actual travel behavior. Cross-validation of Plog's model was achieved through three personality trait measures and a modified Nickerson scale. This study broadens the behavioral foundations of psychographic research within the travel literature.

72 citations

Book
01 Jan 2006
TL;DR: In this paper, the authors introduce consumer behavior and consumer research, and how consumer analysis affects business strategy, including consumer intentions, attitudes, beliefs, and feelings. But they do not discuss the consumer decision process and post-purchase processes.
Abstract: PART I: INTRODUCTION TO CONSUMER BEHAVIOUR 1. Consumer behaviour and consumer research 2. How consumer analysis affects business strategy PART II: CONSUMER DECISION MAKING 3. The consumer decision process 4. Pre-purchase processes: Need recognition, search, and evaluation 5. Purchase 6. Post-purchase processes: Consumption and evaluation PART III: INDIVIDUAL DETERMINANTS OF CONSUMER BEHAVIOUR 7. Demographics, psychographics, and personality 8. Consumer motivation 9. Consumer knowledge 10. Consumer intentions, attitudes, beliefs, and feelings PART IV: ENVIRONMENTAL INFLUENCES ON CONSUMER BEHAVIOUR 11. Culture, ethnicity, and social class 12. Family and household influences 13. Group and personal influence PART V: INFLUENCING CONSUMER BEHAVIOUR 14. Making contact 15. Shaping consumers opinions 16. Helping consumers to remember 17. Consumerism and beyond consumption

71 citations

Journal ArticleDOI
TL;DR: Factors influencing the adoption of and willingness to pay for mobile physician-rating apps were analyzed and perceived ease of use of the Internet to gain health-related information, the sociodemographic variables age and gender, and the psychographic variables digital literacy, feelings about the Internet and other Web-based applications in general, patients’ value of health- related knowledgeability, as well as the information-seeking behavior variables regarding the amount of daily private Internet use affected adoption.
Abstract: Background: Consumers are increasingly accessing health-related information via mobile devices. Recently, several apps to rate and locate physicians have been released in the United States and Germany. However, knowledge about what kinds of variables explain usage of mobile physician-rating apps is still lacking. Objective: This study analyzes factors influencing the adoption of and willingness to pay for mobile physician-rating apps. A structural equation model was developed based on the Technology Acceptance Model and the literature on health-related information searches and usage of mobile apps. Relationships in the model were analyzed for moderating effects of physician-rating website (PRW) usage. Methods: A total of 1006 randomly selected German patients who had visited a general practitioner at least once in the 3 months before the beginning of the survey were randomly selected and surveyed. A total of 958 usable questionnaires were analyzed by partial least squares path modeling and moderator analyses. Results: The suggested model yielded a high model fit. We found that perceived ease of use (PEOU) of the Internet to gain health-related information, the sociodemographic variables age and gender, and the psychographic variables digital literacy, feelings about the Internet and other Web-based applications in general, patients’ value of health-related knowledgeability, as well as the information-seeking behavior variables regarding the amount of daily private Internet use for health-related information, frequency of using apps for health-related information in the past, and attitude toward PRWs significantly affected the adoption of mobile physician-rating apps. The sociodemographic variable age, but not gender, and the psychographic variables feelings about the Internet and other Web-based applications in general and patients’ value of health-related knowledgeability, but not digital literacy, were significant predictors of willingness to pay. Frequency of using apps for health-related information in the past and attitude toward PRWs, but not the amount of daily Internet use for health-related information, were significant predictors of willingness to pay. The perceived usefulness of the Internet to gain health-related information and the amount of daily Internet use in general did not have any significant effect on both of the endogenous variables. The moderation analysis with the group comparisons for users and nonusers of PRWs revealed that the attitude toward PRWs had significantly more impact on the adoption and willingness to pay for mobile physician-rating apps in the nonuser group. Conclusions: Important variables that contribute to the adoption of a mobile physician-rating app and the willingness to pay for it were identified. The results of this study are important for researchers because they can provide important insights about the variables that influence the acceptance of apps that allow for ratings of physicians. They are also useful for creators of mobile physician-rating apps because they can help tailor mobile physician-rating apps to the consumers’ characteristics and needs. [J Med Internet Res 2014;16(6):e148]

70 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202350
2022121
202156
202049
201960
201866