Study of Psychographic Characteristics of Consumers of Credit Products

Тимофеева, Т. С.; Serova, Olga; Golub, Oksana

doi:10.2991/aebmr.k.200312.102

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Socio-demographic characteristics, such as gender, age, household net income and household size, were indicated by other researchers as having a marginal role in differentiating segments [37]. Very often, the respondents characterised by these features were evenly distributed in the identified clusters [37]; hence the emphasis is on emotional, behavioural and psychographic factors [59,66,[76][77][78][79].…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

2021

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Energy consumption impacts the environment, humans’ well-being, comfort and quality of life. The article aimed to develop the original model of energy consumer segmentation, based on behavioural variables, which influence consumer decisions and motivations regardless of demographic, geographic and socio-cultural differences. The innovative contribution is the segmentation procedure, which fills the existing research gap and can be treated as a universal tool serving various groups of stakeholders for creating and implementing sustainable development policies. The methodology used for the segmentation is based on the original algorithm and involves classifying a consumer into the most appropriate group based on the measurement of the distance between the ideal class representative and a particular respondent. Several distance measures (e.g., Sokal–Michener, Goodall, Lin) were used, while the similarity of those classifications was verified using the adjusted Rand index. The segmentation involved adopting—a priori—five basic classes of consumers, varying in terms of motivation to save energy. The validation performed on a sample of 1606 respondents, carried out as part of the eco-bot project, verified both the classification approach adopted in the study and the accuracy of the assumptions. The application of the distance measures chosen for the study allowed for the assignment of 96.1% of the respondents to the appropriate classes, which yielded the following distribution: EI (33.9% of the respondents); DS (33.1%), AE (17.2%), O (7%) and I (4.9%).

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Section: Literature Reviewmentioning

confidence: 99%

An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

2021

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“…In this study, to quantify the qualitative variables, the theory of programmed behavior is based on the 5-point Likert scale method, in which one means "Strongly Agre" and five means "Strongly disagree [81][82][83][84][85][86]. "…”

Section: Modelingmentioning

confidence: 99%

Behavioral Economics and Energy Consumption: Behavioral Data Analysis the Role of Attitudes and Beliefs on Household Electricity Consumption in Iran

Norouzi

Fani

Bahramani

et al. 2021

JAIBD

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The average electricity consumption in Iranian households is higher than the world average. This can be due to price factors (such as cheap electricity in the country) and non-price factors (such as socio-demographic variables and psychological factors). In this study, non-price factors such as socio-demographic variables and psychological factors in the electricity consumption of urban households in Tehran were investigated. In this regard, using the theoretical foundations of behavioral economics and the psychology of planned behavior, this issue was analyzed. This study collected information on household electricity consumption behavior through a questionnaire and fieldwork from 2560 Tehran households. Results Using econometric techniques, linear regression was estimated, the dependent variable of which was electricity consumption (45 days in winter 2019) and its independent variables including socio-demographic variables (age, sex, number of household members, income) and The variables of the theory of planned behavior (attitude, mental norms and perceived behavioral control) showed that income and the number of household members have a significant and positive effect on electricity consumption, but gender has no significant effect. Of the psychological variables, only perceived behavioral control has a significant effect on electricity consumption. These results show that the consumer does not have a positive attitude towards saving, and mental and social norms do not encourage him to reduce electricity consumption, and they are not effective in consumption control. Finally, the study results were analyzed using behavioral biases that may cause attitudes and beliefs not to lead to action.

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Study of Psychographic Characteristics of Consumers of Credit Products

Cited by 2 publications

References 4 publications

An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

Behavioral Economics and Energy Consumption: Behavioral Data Analysis the Role of Attitudes and Beliefs on Household Electricity Consumption in Iran

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