Psychographic

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

Developing a novel psychographic-behavioral qualitative mapping method for exergames

Abstract: Location-based augmented reality games, used in several smartphone devices, have the potential to improve health outcomes by transforming gaming from a sedentary leisure pursuit to an active leisure pursuit thus having positive physical, psychological and social implications. We consider two games, Harry Potter: Wizards Unite and Pokemon GO, by qualitatively mapping both psychographic and behavioral data to profile groups of players to fully understand how we can better design location-based augmented reality exergames to improve exercise and health. Data was collected through an online open-ended, text-box survey (proforma) hosted on Qualtrics, with participants reached via virtual snowballing. The proforma was posted on four subreddit forums dedicated to Harry Potter: Wizards Unite and Pokemon GO for two weeks, and 1052 participants responded. Our study aligns with a deductive category application, with all highlighted excerpts coded using a predetermined coding scheme. Overall, three themes were identified: 1) Player Loyalty, 2) Player Involvement and 3) Player Constraints. We conclude that psychographic constraints experienced can negatively influence player preference and behavior. However, psychographic enablers such as player involvement with the franchise and player loyalty toward the brand can act to sustain continued gameplay across different player types and should not be underestimated as a powerful influence in decision-making, choice behavior, and behavior change (to improve exercise and health).

Identification of Variables and Factors Impacting Consumer Behavior in On-line Shopping in India: An Empirical Study

Abstract: On-line shopping is a recent phenomenon in the field of E-Business and is definitely going to be the future of shopping in the world. Most of the companies are running their on-line portals to sell their products/services. Though online shopping is very common outside India, its growth in Indian Market, which is a large and strategic consumer market, is still not in line with the global market. The potential growth of on-line shopping has triggered the idea of conducting a study on on-line shopping in India. The present research paper has used exploratory study to depict and highlight the various categories of factors and variables impacting the behavior of consumers towards on-line shopping in India. The data was collected through in-depth interviews on a sample of 41 respondents from Delhi, Mumbai, Chennai and Bangalore. The results of the study show that on-line shopping in India is basically impacted by five categories of factors like demographics factor, Psychographics factor, Online shopping feature and policies, Technological factor, Security factor. The results of the study are used to present a comprehensive model of on-line shopping which could be further used by the researchers and practitioners for conducting future studies in the similar area. A brief operational definition of all the factors and variables impacting on-line shopping in India is also described. And finally practical implications of the study are also elucidated.

E-Commerce Market Segmentation Based On The Antecedents Of Customer Satisfaction and Customer Retention

Abstract: The "grow and thrive" of e-commerce players in Indonesia and very diverse nowadays customers are causing the intense competition among the players and therefore effects on low customer retention rate. The purposes of this research are to determine the influence of psychographic factors towards customer satisfaction and customer retention in ecommerce, and secondly to identify e-commerce customer segmentation based on the psychographic and demographic factors. This is an associative-descriptive research where the data is collected through questionnaire distributed to 411 respondents with analysis methods used are Path Analysis, Cluster Analysis, and Cross-tabulation. The research result shows that all the independent factors influence customer retention through customer satisfaction, and based on those factors, there are 3 customer segments of e-commerce, i.e. The Functional Shopper, The Credibility-Matters Shopper, and The Money-Dietary Shopper.

A psychographic framework for determining South African consumers’ green hotel decision formation: Augmenting the Theory of Planned Behaviour

Abstract: Although South African consumers are showing increased green purchasing intentions, the factors that will lead to an intended behaviour of selecting green hotels have yet to be researched. Accordingly, this research explores the predictive ability of the Theory of Planned Behaviour (TPB) and then further modifies and develops extended model structures surrounding the TPB, to identify and confirm an independent theoretical model that will be able to better understand South African consumers’ intended behaviour towards selecting green hotels. To answer the aim and objectives set, the research positioned itself within a non-experimental quantitative paradigm. An online questionnaire was distributed to South African consumers that stayed at a hotel at least once within a 12-month period. A total of 402 completed responses were used for statistical analysis. Descriptive statistical analysis derived and assessed the demographic profile of the respondents and determined the respondents’ characteristics as South Africans who intend to stay at or visit hotels. Structural equation modelling revealed that the original TPB is a strong predictor of behavioural intention, indicating its applicability to the domain of South African consumers’ behavioural intention of selecting green hotels. Furthermore, it was found this can statistically be best explained by expanding the original TPB model to include emotive and non-cognitive predictor variables, namely anticipated regret and perceived moral obligation, as direct constructs to behavioural intention as well as by including environmental knowledge as a direct predictor variable to attitude. In addition, it found that the relationship between behavioural intention and perceived behavioural control was the most significant in predicting South African consumers’ intended behaviour of selecting green hotels