Model Of Purchase Behavior Research Articles

A Study of the Mediating Effect and Path of Customer Fit in Repeat Purchase Behavior in the Residential Market Driven by Digital Marketing Technology

Improving the repeat purchase intention of customers of real estate enterprises from marketing strategies is increasingly important for real estate enterprises to achieve the goal of stable and increasing long-term profits. This paper, driven by digital marketing technology, takes customer repeat purchase behavior in residential commodity market as the research object. The variables of brand community value, customer fit and repeat purchase behavior are first defined and selected. Then the relationship model of brand community value, customer fit and repeat purchase behavior was established, questionnaire research was conducted on mature real estate community members, and data analysis and structural equation model fitting were carried out using SPSS and AMOS software in order to test the mediating effect of customer fit in repeat purchase behavior in the residential market as well as the path. The study concluded that the standardized coefficient of customer fit on customers’ repeat purchase intention is 0.36, which has a significant positive effect. Meanwhile, customer fit has a mediating effect between the five dimensions of brand community value and repeat purchase behavior, and all five dimensions have a partial mediating effect in the process of influencing repeat purchase intention.

STUDY ON THE INFLUENCE OF CUSTOMER PERCEIVED VALUE ON REPEATED PURCHASE BEHAVIOR OF KNOWLEDGE PAYMENT IN ONLINE SHOPPING ENVIRONMENT: AN EMPIRICAL ANALYSIS BASED ON ONLINE EDUCATION PLATFORM

Nowadays, with the rapid development of information technology, numerous platforms and groups have entered the field of knowledge payment, thereby initiating a new trend. Despite the recognition of some users, there is still a low purchase or repeat purchase behavior, and many companies face a low fan conversion rate and a scarcity of loyal fans. Therefore, this paper aims to explore the impact of perceived value on consumers' repeated purchase behavior of knowledge so as to propose constructive suggestions for the development of the knowledge payment industry. We introduce customer recognition and brand effect as mediating and moderating variables in this study, and construct an analytical model for knowledge-based repeat purchase behavior on an online education platform. We find that each dimension of perceived value completely mediates the influence on the mediating variable "sense of identity", with the exception of the educational function value, which only partially mediates the influence. Enhancing the brand effect strengthens the relationship between each dimension and consumers' repeated purchase intention, thereby verifying the existence of the moderating effect. However, the social value dimension's influence did not significantly change, making it impossible to verify its moderating effect.

Factors Influencing Automotive Lubricant Consumer Purchasing Behavior: A Conceptual Model

The automotive industry's rapid expansion and rising consumer appetite for automobiles have created an unprecedented demand for automotive lubricants. This surge in demand reflects lubricants' essential role in ensuring optimal performance, longevity, and efficiency of automotive engines and mechanical components. In the present day, consumers exhibit increased precision and selectivity in their purchasing behavior, underscoring the necessity for careful deliberation before making a purchase decision. Given the diverse range of products available, it is essential to understand consumer preferences to ensure that the selection is aligned with market demands and expectations. Thus, this paper aims to develop a conceptual model for automotive lubricant purchase behavior based on the Theory of Consumption Values (TCV), which are divided into five parts: functional value, emotional value, social value, and epistemic value. The consumption value theory, applicable across diverse goods and services, emerges as a valuable framework. Its versatility enables a comprehensive understanding of consumer preferences and behaviors across various markets, facilitating informed decision-making for businesses and policymakers. Through this conceptual model, the paper endeavors to provide insights into the complex interplay of value perception and provide insights into the drivers behind consumers’ choices regarding automotive lubricants.

Second-hand online stores: an examination of consumers’ purchase behaviour

ABSTRACT Today, the determinants of second-hand shopping are not comprehensive and are limited to physical stores; and most of the previous research has largely ignored the factors that motivate the online purchase of second-hand products. Considering the great accessibility of second-hand products through online retailers and stores, we will examine why consumers purchase second-hand products online; and further, whether price consciousness moderates the purchase behaviour of used products online.In this context, the purpose of the present research is to examine what factors determine consumers’ purchase behaviour of second-hand products online; and further analyse the moderating role of consumer price consciousness in online second-hand purchase behaviour. For this purpose, based on the second-hand shopping motivation theory a conceptual model of second-hand online purchase behaviour is proposed and empirically tested on a sample of405consumersthrough Structural Equation Modelling (SEM). Findings show that consumers are driven mostly by environmental motivations when purchasing second-hand products online, followed by trust towards the online store and economic factors. Interestingly, ethical motives exert a negative impact on second-hand purchase behaviour, which could be perceived by individuals as other kind of overconsumption. In addition, results indicate the moderating influence of consumer price consciousness on the purchase intention of second-hand products online. This study extends the literature on second-hand shopping through an empirical examination of the factors influencing consumer purchase behaviour of used products through online stores.

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The Construction of a Model for Predicting Users’ Repeat Purchase Behavior and its Impact on the Economic Efficiency of Enterprises

Aiming at the shortcomings in efficiency and accuracy of the current prediction methods of user repeat purchase behavior in e-commerce enterprises, an intelligent prediction model of user repeat purchase behavior based on machine learning was proposed. In order to enhance the quality of the experimental data, Kernel Principal Components Analysis (KPCA) and the synthetic Minority oversampling technique (SMOTE) were first used to preprocess the data. After that, repeat purchase behavior is predicted using a Support Vector Machine (SVM). Then, the Sparrow Search Algorithm (SSA), based on multi-strategy optimization, is suggested to overcome the SSVM’s drawbacks. The Smooth Support Vector Machine (SSVM) is employed as the feature classifier for classification. On this basis, an intelligent prediction model of user repeat purchase behavior based on ISA-SSVM is constructed to achieve efficient prediction of user repeat purchase behavior. The results showed that the fitness value of the ISA-SSVM algorithm was always higher than other algorithms as the number of iterations increases. And its convergence speed is fast, when the number of iterations is 13, the fitness value reaches 94.6%. The error value of this model is 0.14, the loss value is 0.20, the F1 value is 0.957, the recall value is 0.965, the MAE value is 8.52, the fit degree is 0.992, the prediction accuracy is 97.92%, and the AUC value is 0.995, all of which are better than the other two models. As a result, the ISA-SSVM developed in this work outperforms previous models in terms of its ability to forecast customers’ recurrent purchasing behavior. The research approach is helpful for e-commerce businesses to implement precision marketing, which has a good effect on the advantages of e-commerce businesses.

Explaining the visual attention model in impulsive purchase behavior of tourism industry customers by theme analysis method

PurposeThis study aims to explain the model of impulsive purchase behavior in the Islamic Republic of Iran’s tourism industry.Design/methodology/approachThis study uses the inductive–deductive approach for data collection. Field (interviews) and library (articles, books and theses) methods have been used for data collection. After determining the research variables, content analysis units (theme, category and markers) are specified. Academic experts and professionals in the subject area helped during the model design stage.FindingsThe results reveal 14 visual attention variables which are classified into four categories: attractiveness in the market, emotional reactions, improving the shopping style of tourists and visual advertising.Research limitations/implicationsThis study focuses only on Iran. There is scope to expand the discussion with more interviews. The impact of the COVID-19 pandemic on tourism presented some unique challenges in participant recruitment. Future studies could focus on other Middle Eastern countries or other international areas. Moreover, future researchers could analyze other variables affecting impulsive purchase.Originality/valueNo other studies on tourism industry marketing have recognized the effective variables in impulsive purchase. To fill this gap, this paper explains the visual attention model in tourists’ impulsive purchase behavior.

The influence of social media celebrity endorsement on beer and wine purchase behaviour

PurposeCelebrity endorsement is one of the most popular marketing communication tools that have been used by beverage companies to influence consumers’ behaviour, but little is known about the extent this communication strategy can be impactful and benefit alcoholic beverages like beer and wine. In this context, this study aims to examine whether and how social media celebrity endorsement influences consumers’ beer and wine purchase behaviour. Further, this study examines what are the characteristics of the celebrities that exert greater influence on beer and wine purchase behaviour.Design/methodology/approachBased on the source credibility and source attractiveness theoretical models, and on the match-up theory, a model of consumer purchase behaviour was proposed. Online celebrity endorsement was categorised as promoting either beer or wine, as well as beer and wine brands. Then, this model is empirically analysed through multiple group structural equation modelling on two samples of consumers who read online celebrity’s recommendations in Spain (beer = 280; wine = 277).FindingsFindings indicate that celebrity’s recommendations exert a different influence pattern on consumer purchase behaviour depending on the product category: congruence is the most relevant variable in beer endorsement, whereas expertise is the most influencing factor in wine celebrity recommendations. Therefore, beer celebrity endorsers should be congruent with the product, whereas wine endorsers should be perceived as experts.Originality/valueThis study extends the literature on celebrity endorsement providing an empirical examination of the social media celebrity characteristics that influence consumer purchase behaviour of beer and wine, reporting interesting differences between these two alcoholic beverages.

Milk purchase and consumption patterns in peri-urban low-income households in Kenya

Milk plays an important role in the growth and development of children. In Kenya, it is one of the most produced and consumed animal-sourced foods, but often consumed in small amounts among children of low-income families, especially in urban settings. The aim of the study was to identify household milk purchase and consumption patterns of milk, with emphasis on young children, as well as estimate key determinants of such patterns to identify areas of leverage to increase milk consumption. Results showed that 98% of households purchased unprocessed fresh milk at least once during the 7 days prior to the survey, while only 17% purchased packed pasteurized milk. Findings from the Ordinary Least Squares (OLS) model of purchase behavior suggest that the amount of unpacked milk purchased by households is positively and significantly related to household income, the number of children below the age of 4, and the budget of animal-sourced food. The price and quantities of pasteurized milk purchased were negatively related to the amount of unpacked milk purchased. Consumption patterns for children below the age of 4 showed that milk and dairy products are most commonly consumed as part of dishes than as individual products. Informal markets played a key role in meeting the milk needs of children, but consumption was below recommended amounts. The clear association of income and milk intake calls for efforts from the government to support the dairy sector with policies that promote the availability and affordability of milk, especially for a sector that feeds low-income families, as it is the case with the informal dairy markets.

Predictive model of consumer online purchase behavior based on data mining

Predictive model of consumer online purchase behavior based on data mining

Predictive model of consumer online purchase behaviour based on data mining

The existing consumer online purchase behaviour prediction model does not reduce the noise of purchase behaviour data, which leads to poor prediction effect. Therefore, a consumer online purchase behaviour prediction model based on data mining is proposed in this paper. The behaviour data are divided into different datasets by K-means clustering. The neighbourhood rule is used to update the centre of clustering sample data and collect behaviour characteristic data. Empirical mode decomposition (EMD) method is used to obtain the instantaneous frequency of purchasing behaviour and denoise the characteristic data of consumers' online purchasing behaviour. With the data mining method, the system of consumer online purchasing behaviour characteristics is established, and a consumer online purchasing behaviour prediction model is built according to the behaviour characteristics fusion selection means to realise behaviour prediction. The results show that the accuracy of this model to predict consumers' online purchasing behaviour is more than 93%.

“Why Do We Buy Green Products?” An Extended Theory of the Planned Behavior Model for Green Product Purchase Behavior

Many consumers are concerned about environmental issues and have expressed interest in purchasing green products. However, actual sales of green products are still not as high as expected. Therefore, marketers of green products may need to investigate the factors driving green purchase behaviors. In this study, we proposed an extended theory of planned behavior (TPB) model that links consumers’ environmental concerns, perceived image of the company, consumer innovativeness, and environmental knowledge with green product purchase behavior. We applied a quantitative approach to collect the data via online questionnaires through Amazon MTurk. With 974 useable samples, the data were analyzed with structural equation modeling (SEM) using Smart PLS. The results showed that green purchase intention positively and significantly affects green purchase behavior. Moreover, the multigroup analysis revealed that the direct influence of green purchase intention on green purchase behavior is higher in developing countries than in developed countries. Regarding the direct effect on green purchase intention, attitude toward green products, perceived consumer effectiveness (PCE), environmental concern, and company’s perceived green image are significant antecedents of the intention to purchase, with attitude toward green products being the most robust antecedent among the three. However, subjective norms do not act as a direct antecedent of purchase intention. For the indirect effect on green purchase intention, four main antecedents (attitude toward green products, subjective norms, PCE, and environmental concerns) indirectly impact purchase intention via the mediating role of the perceived green image of the company. This study contributes to existing literatures via extending the TPB model. Regarding attitude-intention-behavior model, we found that environmental concern complements the model as an antecedent of green purchase intention. Moreover, a company’s perceived green image mediates the relationship between four antecedents and green purchase intention. Therefore, marketers of green products may also enhance future purchases by promoting the green image of the company. Particularly, we found that environmental knowledge positively moderates the relationship between environmental concern and a company’s perceived green image. We added on the empirical evidence that PCE plays a crucial role in stimulating green purchases as its direct positive influence on green purchase behavior is larger than that of green purchase intention. Moreover, consumer innovativeness positively moderates the relationship between PCE and green purchase intention.

Towards green product consumption: Effect of green marketing stimuli and perceived environmental knowledge in Indian consumer market

PurposeConsumers are becoming increasingly concerned about ecological degradation and are getting conscious of the potential advantages that environmental sustainability can offer, which is also driving them towards the consumption of green products. In view of this, the purpose of this study is to operationalize and test the conceptual model of green purchasing behaviour by incorporating consumers’ perception towards green marketing stimuli including eco-label, eco-brand and environmental advertisements with perceived environmental knowledge in an emerging sustainable market.Design/methodology/approachThe proposed model is based on an integrative and cognitive approach to consumers’ environmental beliefs-behaviour relationship. The 549 valid responses were received from selected metropolitan regions of India and analysed by direct path coefficients along with a bootstrapping method for testing indirect effects.FindingsThe results revealed that perception of eco-label and environmental advertisements had a positive influence on green purchasing behaviour, however, the direct relationships of eco-brand and environmental knowledge were not supported in the model. While environmental advertisements and environmental knowledge posed an indirect influence on green purchasing to some extent.Research limitations/implicationsThe generalizability of the findings needs to augment an extensive approach of a cross-sectional survey. Theoretical, managerial and policy implications were recommended to promote green products towards sustainable consumption.Originality/valueThe operationalization of green purchasing behaviour using marketing stimuli has remained scant in the Indian setting. The insights gained from this study contributes to the knowledge domain of green consumer psychology in the backdrop of an emerging market.

EMPIRICAL STUDY OF PURCHASE INTENTION AND BEHAVIOR OF E-COMMERCE CONSUMERS IN INDONESIA

E-commerce in Indonesia is currently growing as consumers make an increasing number of online purchases, making the competition fiercer between e-commerce business players in the country. Despite this growth, e-commerce in Indonesia faces challenges remaining to their development such as a gap in internet penetration between rural and urban areas. To win the competition among all e-commerce businesses and face the existing challenges, it is necessary to determine the best strategy to retain current consumers along with getting more and more consumers. Thus, this study aims to better understand the behavior of e-commerce consumers in Indonesia by developing a structural model of purchase intention and behavior based on an adaptation of the unified theory of acceptance and use of technology 2 (UTAUT2) model, with input from other relevant theories and interviews conducted in the country. Data from questionnaires completed by 400 e-commerce consumers are analyzed using covariance-based structural equational modeling (CB-SEM). The CB-SEM analysis finds that purchase intention is significantly influenced by these six factors: facilitating conditions, perceived website quality, security, convenience, economic reasons, and social influence. Furthermore, purchase intention significantly influences the purchase behavior of consumers. Conversely, three factors considered in the study are found not to significantly influence purchase intention: hedonic motivation, variety, and delivery factors. These results help e-commerce businesses to consider important factors when determining key factors influencing consumer purchase intentions and behavior.

Presenting a Prediction Model for Consumer Purchase Behavior with Emphasis on Brand Perception of Shahrvand Store

Presenting a Prediction Model for Consumer Purchase Behavior with Emphasis on Brand Perception of Shahrvand Store

GENERATIVITY AND GREEN PURCHASE BEHAVIOR: THE ROLE OF ENVIRONMENTAL CONCERN AND PRO-SOCIAL ATTITUDE

Purpose of the study: This research intends to find out the role of generativity in green purchase behavior. Moreover, the mediating roles of environmental concern and pro-social attitude have also been proposed. Methodology: This study was conducted on 689 university students given the sensitivity towards the concepts of generativity, environmental concern, pro-social attitude, and green purchase behavior. The model validity was verified by performing the exploratory factor analysis and confirmatory factor analysis. Finally, to test the hypotheses, hierarchal regression was performed. Main Findings: Results endorsed the positive impact of generativity concern on green purchase behavior. Additionally, the mediating roles of Environmental concern and pro-social attitude were also verified. Applications of this study: This study will be very useful for companies that are offering green products/services. Novelty/Originality of this study: This study distinguishes itself from prior studies by adding new predictors to the model of green purchase behavior. Furthermore, this study verifies the role of Environmental concern and Pro-social attitude on the link of GEN-GPB.

Research on the Influence of Traceability Information of Fresh Agricultural Products on Consumers’ Purchasing Behavior

Based on the composite perspective of product, consumer cognition and consumer emotion, this paper establishes a research model of consumer purchase behavior of agricultural products traceability information. Through the questionnaire survey of urban consumers in a city, the correlation analysis and regression analysis are used to calculate the influence coefficient of various kinds of traceability information on consumer purchase behavior. This paper empirically analyzes consumers’ preference for traceability information of fresh agricultural products. The results show that: the group of online purchase of traceable fresh agricultural products is mainly young women aged 26 - 35; most of them have higher education level and stable income level. Traceability information, food safety, product display, shopping experience, safety value, information value and economic value of fresh agricultural products have significant positive effects on customers’ purchasing behavior. Finally, it is proposed that enterprises should improve the traceability information of fresh agricultural products according to the needs of customers, so as to avoid the high cost caused by the pursuit of too much traceability information.

Role of Environmentalism in the Development of Green Purchase Intentions: A Moderating Role of Green Product Knowledge

Environmentalism has become not only a significant policy issue but also a crucial topic in marketing research. Environmental consciousness is now considered as a fundamental requirement to prevent further damage to the environment. Efforts have been made to improve the consumers understanding about the environmental consequences of their consumption patterns. This study develops a conceptual model of green purchase behaviour to determine the effects of environmentalism, advertisement message credibility and green perceived value on the consumers’ green purchase intentions with green product knowledge as a moderator. The convenience sampling technique with cross-sectional research design was used to select the sample. Data were collected using survey, and a total of 368 valid questionnaires were used for further analysis. The results from the structural analysis using Smart-PLS depict that environmentalism significantly influences the ad message credibility and green perceived value, and these constructs significantly affect the green purchase intentions. Furthermore, the green product knowledge moderates the relationship between environmentalism, ad message credibility and green perceived value. Overall, the findings of this study extend the theoretical basis of green purchase intentions by empirically testing the proposed model and provides the limitations and further research directions.

The effects of consumer attitude on green purchase intention: A meta-analytic path analysis

Increasing interests in the development of green purchase intentions have elevated the importance of theories that explain the relationships between attitudes and intentions. The aim of the present research is to meta-analytically integrate the model of green purchase behavior (GPB) and the theory of planned behavior (TPB). We synthesized the research findings of 90 studies (94 samples, n = 38622) and employed meta-analytic structural equation modeling to investigate the empirical fit of the integrated TPB-GPB framework. The findings demonstrated support for the integrated framework and showed mediation role of consumer attitude in the development of green purchase intent. Moreover, the results suggested that the integrated framework assisted the TPB model to enjoy huge fertility by integrating the constructs and/or combining with the GPB model to develop the explanatory power and predictive lenses of green consumer attitudes and green purchase intention.

A new year, a new you? Within-individual variation in food purchases

We document that within -individual variation in food choices is substantial and has potentially important consequences for nutrition, and hence well-being. We develop an approach that allows us to study the determinants of this within-individual variation within an economic framework and allow for across-individual preference heterogeneity. We show that around one-fifth of within-individual fluctuations in diet quality is explained by standard economic variables (prices and budgets), along with advertising and weather. The residual fluctuations are important and are larger for lower income and younger people, and individuals who state they are impulsive. We propose a two-selves model of food purchase behavior to structurally interpret these empirical patterns. We use nonparametric revealed preference techniques to show that this model rationalizes our food purchase data.