Characteristics Of Consumer Behavior Research Articles

Uncertainty of the image of consumer behavioral disorders in the representations of students

Our time is called the era of consumption. Consumerism as a phenomenon is rapidly developing in the space of Russia and is one of the psychological characteristics of modern youth, including students. That is why this work was devoted to the study of the uncertainties of the image of violations of consumer behavior in students perceptions. To achieve the goal of the study, an overview of studies on the characteristics of consumer behavior in modern Russian humanitarian publications over the past five years is presented. The most relevant aspects of cognition of the psychology of consumer behavior are revealed: phenomenology, definition of the concept, deviations in consumer behavior, etc. Consumerism was found to lead to a disease affluence. The aim of the study was to identify students perceptions of consumer behavior disorders. It was assumed that the students ideas about violations of consumer behavior are characterized by blurry and uncertainty due to the fact that this aspect is not the subject of their professional training. 72 students aged 20 to 24 years of the Pedagogical University were engaged in a diagnostic conversation. The data obtained during the survey were interpreted using the Wu Xing pentagram method. The analysis of students ideas about psychological disorders of consumer behavior is given. The anti-motives of consumption are revealed. They were modeled into a reflected pyramid of needs on the basis of A. Maslows theory of needs. In the conclusion, it is indicated that the hypothesis put forward has not been confirmed.

Big Data Mining Method of Marketing Management Based on Deep Trust Network Model

Through big data mining, enterprises can deeply understand the consumer preferences, behavior characteristics, market demand and other derived data of customers, so as to provide the basis for formulating accurate marketing strategies. Therefore, this paper proposes a marketing management big date mining method based on deep trust network model. This method first preprocesses the big data of marketing management, including data cleaning, data integration, data transformation and data reduction, and then establishes a big data mining model by using deep trust network to realize the research on the classification of marketing management data. Experimental results show that the proposed method has 99.08% accuracy, the capture rate reaches 88.11%, and the harmonic average between the accuracy and the recall rate is 89.27%, allowing for accurate marketing strategies.

Impact of artificial intelligent and industry 4.0 based products on consumer behaviour characteristics: A meta-analysis-based review

In the modern era, computers using artificial intelligence (AI) and industry 4.0 have found acceptance since its application in renewable energy sectors thereby optimising the cost and efficiency of the equipment. Despite its importance, lack of comprehensive literature has been reported in the past highlighting its relationship with consumer behaviour (CB) in the market considering the modern women's in the sustainable energy field. Findings from 10 studies furnish that physiological, social, personal and economical aspects significantly impact women consumer behaviour when categorized on the perception for intention to buy, acceptance and need for recognition. The current review paper is the first distinguishable review highlighting the importance of stipulating the relationship between artificial intelligence and characteristics of consumer behaviour in the field of sustainable energies. The paper synthesises previous findings by developing a model with the aid of meta-analysis. The review and organization procedure were simultaneously verified. Eventually, outcomes of the review stipulated intention to buy area, which requires utmost importance in order to establish and maintain a healthy attitude of consumers towards women entrepreneurs and industry 4.0. In future, this review will establish a roadmap to researchers, thereby guiding to collect technology information and analyse the applications in sustainability and CB. This paper aims to enhance our expertise and simultaneously develop a feasible relationship between consumer behaviour and computer based renewable technologies by addressing different concerns related to implementation of robots at home and outlining the investigation programs for the future experiments.

Relationship between cognitive characteristics and consumer behavior of the individual

The article discusses the concept of consumer behavior and its study in the framework of psychological science. The determinism of consumer behavior by cognitive features is specified. The results of an empirical study of the relationship between individual consumer behavior and cognitive characteristics are presented.

Data mining analysis method of consumer behaviour characteristics based on social media big data

Data mining analysis method of consumer behaviour characteristics based on social media big data

Data mining analysis method of consumer behavior characteristics based on social media big data

Data mining analysis method of consumer behavior characteristics based on social media big data

Impact of COVID-19 pandemic upon fashion consumer behavior: focus on mass and luxury products

PurposeThe COVID-19 pandemic has caused a decline in overall consumption, but luxury sales within offline department stores rose significantly. This study identifies changes in the market environment variable (i.e. pandemics) and their impact on clothing consumption behavior. Moreover, it examines consumer behavior characteristics and provides implications for future fashion marketing and merchandising strategies.Design/methodology/approachThis study analyzed post-pandemic consumption trends by obtaining luxury brand sales data from the Korea National Statistical Office and department stores. Moreover, it investigated luxury consumption fluctuation after the pandemic and statistically analyzed the characteristics of luxury consumers by customer level (CL) that affected sales.FindingsThe results of the study showed that offline (online) clothing consumption at mass markets has decreased (increased) since the pandemic, whereas sales of luxury fashion brands at offline department stores have grown. Moreover, the in-depth analysis showed a significant sales decline (increase) for clothing-centered (leather-centered) luxury brands.Practical implicationsIf such a trend in luxury brand consumption continues, current polarization is expected to be maintained. Therefore, the study’s findings can be used as basic data in strengthening luxury brands and planning products.Originality/valueThis is the first work to undertake a comparative study of fashion consumer behavior, before and after the pandemic, involving the mass and luxury markets in South Korea.

Impact of personality factors on purchase and adoption of consumer durables with advanced technology

PurposeThe purpose of this paper is to identify critical personality traits affecting and influencing buying behaviour in high involvement consumer durables. It also intends to guide practitioners in selecting appropriate marketing frameworks, consumer segments and processes considering the characteristics of consumer behaviour in developing economies.Design/methodology/approachIt systematically reviews the literature on consumer personality traits, its measurement and related consumer buying behaviour. It uses data collected from potential car buyers at various car showrooms across the Indian subcontinent. The authors have worked with the online survey firm Qualtrics, to gather a data set of 328 car purchase intenders’ responses to their validated survey. The model was tested using the SmartPLS.FindingsThe personality traits of imagination, agreeableness and social factors positively influenced attitude towards automobiles with advanced technology. Further, in line with the theory of planned behaviour, it is seen that a positive attitude towards advanced technology and design for automobiles makes a person more willing to pay for the same.Research limitations/implicationsThe study is confined to consumers intending to purchase a car, who are Indian residents.Originality/valueIt adds to the comparatively lesser body of study on the impact of personality traits on intentions and attitudes in high involvement consumer durable purchases. Further, it serves as an empirical examination of the adoption of new technologies, in the context of high involvement consumer durables. For practicing managers, it provides a reference for deciding future development directions and approaches related to the effective market launch strategies and commercialization of advanced technology automobiles in India.

Adoption of online pharmacy applications during COVID-19 pandemic; empirical investigation in the Indian context from push-pull and mooring framework

PurposeThe purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring (PPM) model was formulated to evaluate the impact of various constructs upon “consumers’ switching intention” (CSI).Design/methodology/approachAn online questionnaire was sent to 252 users of OPA in India. Hypotheses were generated to examine the push, pull and mooring effects of constructs developed. The relationships between dependent and independent variables were evaluated using structured equation modeling (SEM).FindingsThe study explicated the effect of PPM constructs on CSI in the context of OPA adoption. “Perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had a significant “pull” effect on CSI. “Switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.Research limitations/implicationsThis study theoretically established that the constructs of “perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had significant “pull” effect on “consumers’ switching intention.” The construct of “switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.Practical implicationsThe study provided valuable insights regarding consumer behavior regarding OPAs. These findings could be applied by managers in framing effective strategies to grow and retain the customer base of OPAs.Originality/valueTo the best of the authors’ knowledge, this was one of the first empirical investigative studies to assess precursors of adoption and post-adoption characteristics of consumer behavior through the PPM model, in the context of Indian OPAs.

The influence of social media eWOM information on purchase intention

This study investigates the relationship between information characteristics and consumers’ behaviours in regards to electronic word of mouth, such as information quality, information credibility, information task-fit, needs of information, attitude towards information and purchase intention of new flavoured bubble tea in an extended Information Acceptance Model. A self-administrated questionnaire was used to collect data from 222 respondents. Data analysis has been conducted using partial least squares-structural equation modelling. The results reveal that information quality, information credibility, information task-fit and attitudes towards information explain the information usefulness. Purchase intention is determined by information adoption, in which information usefulness is the predictor for information adoption. This study extends the literature of purchase intention by incorporating the role of electronic word of mouth information in an extended Information Acceptance Model. Practitioners are encouraged to enrich their marketing effort to boost the online reviews of their products by taking into consideration the quality, credibility and relevancy of the online reviews’ perspectives of electronic word of mouth information. This study contributes to the empirical research of purchase intention by introducing the role of information task-fit in an Information Acceptance Model that combines the characteristics of information and consumer behaviour in the investigation.

Analysis of Consumer Behavior and Computer Consumption Demand of Small Enterprises

Since the reform and opening up, China’s economy has been greatly developed, which has resulted in the gradual increase of the consumption rate of our country’s residents. With the improvement of residents’ income, the consumption level and consumption scale of residents are expanding, which requires us to analyze consumer behavior. However, China’s per capita GDP is still very low, which leads to different consumption levels in different economic regions compared with European and American countries. Due to the dual structure of urban and rural areas, there is a large gap in the consumption level between different regions, groups and industries in China, which has caused the analysis and research of consumer behavior in China. Then, with the popularity of e-commerce, consumer demand experience has become an important driving force to promote consumer behavior, which is an important role in the continuous development of consumers. By analyzing the characteristics of consumer behavior, we can analyze the potential demand. At present, small enterprises are still an important part of China’s enterprises, which requires us to constantly analyze the consumer behavior of small enterprises. This can be achieved through consumer information and consumer demand.

Conformity Consumer Behavior and External Threats: An Empirical Analysis in China During the COVID-19 Pandemic

Conformity consumer behavior refers to a preference of using the behaviors or expectations of others as a guideline for one’s own consumption patterns. Significant characteristics of conformity consumer behavior have been observed during the COVID-19 pandemic, and it has greatly hindered resource allocation and pandemic management. Nonetheless, the reasons why a public health emergency, exemplified by COVID-19, triggers conformity consumer behavior remain unclear. This study proposes and tests a theoretical framework to explore the psychological mechanisms of conformity consumer behavior during the COVID-19 pandemic. Results indicate that pandemic severity positively affect conformity consumer behavior, sense of fear plays a mediating role between pandemic severity and conformity consumer behavior, and sense of control does not play a moderating role. This implies that fear drives conformity consumer behavior and people may tend to consume in this way when they perceive a strong sense of fear no matter how strong their sense of control is. The conclusion will help managers to guide consumer behavior during social crisis and emergencies.

MARKETING OF CREATIVE INDUSTRIES: MODERN DIRECTIONS OF DEVELOPMENT

The article studies the development of creative industries in Ukraine and proposes marketing tools to increase its competitiveness in the market. In modern economic conditions, the development of the creative industry in Ukraine is possible only on the basis of marketing, which allows to determine the needs of consumers, channels of communication with them and develop strategies for the development of the industry in the short and long term. In today's dynamic environment of creative industries, it is important to be able to respond quickly to changes in the environment. Thus, the use of marketing tools will explore the characteristics of consumer behavior, identifying his virtual information habits, describe his profile. The collected information is the basis for creating a marketing strategy for the development of creative industries and the formation of competitive advantages for high-tech enterprises through the introduction of modern relevant tools for interactive marketing. The rapid growth of production and sales of services has contributed to the creation of new jobs, and resilience to crises, such as the CONID-19 pandemic, makes creative industries attractive to investors at both the private and public levels. The questions remain open: research of creative industries from the standpoint of their impact on the national economy, analysis and evaluation of their effectiveness from the standpoint of management and forecasting trends in their development to create and implement marketing strategies. Creative industry marketing includes a set of marketing strategies, approaches, tools and methods that need to be used in combination with creative industry organizations to achieve their market goals. The combination of creative, non-standard and bold solutions with the basic functions of traditional marketing will allow you to stand out from other market competitors, attract and retain the attention of loyal customers and ensure market advantages. Key words: marketing, marketing of creative industries, creative industries, creative cluster, creative marketing.

Optimal schedule of solid electric thermal storage considering consumer behavior characteristics in combined electricity and heat networks

Solid electric thermal storage (SETS) can convert electricity into heat energy, which is scheduled to alleviate wind power curtailment during the heating period. However, different consumer behavior characteristics of SETSs cause the scheduled results to be inconsistent with expectations by the existing methods, which is crucial to schedule distributed SETSs in combined electricity and heat networks (CEHN). To tack this challenge, we propose an optimal schedule framework based on consumer behavior characteristics of distributed SETSs and evaluation indices. Firstly, a SETS power prediction model combining the cyber-physical approach (CPA) with iterative dichotomiser3 (ID3) is proposed, and the prediction results are used to obtain the consumer behavior characteristics of various types of distributed SETSs. Secondly, an optimal schedule model of CEHN is developed considering different consumer behavior characteristics of SETSs. Thirdly, to evaluate the performance of the proposed schedule model, two evaluation indices are developed to enhance the consistency of scheduled results and expectations of electric and heat power. The proposed framework is verified by numerical simulations. Compared with the two traditional methods, the wind power curtailment by the proposed methods is reduced by 5.49% and 0.34%, and electric and heat power evaluation indices are enhanced by 24.52% and 20.08%, respectively.

Effects of Interactivity on Consumer Behavioral Intention in Mobile Social Commerce in China

The authors study the effects of perceived interactivity on consumer behavioral intention according to the characteristics of consumer behavior in mobile social commerce. Results indicate that the intensity of information interaction has significant and positive effects on the depth, breadth, and novelty of consumer recommendations and reviews. The intensity of interpersonal interaction has significant and positive effects on community-based trust and response intensity. Information interaction has significant and positive effects on interpersonal interaction and suggestion adoption. Findings also reveal the relationship between interactivity and consumer behavioral intention in mobile social commerce. The conclusions provide theoretical support for studying how these constructs interact with each other.

Using culturomics and social media data to characterize wildlife consumption.

Wildlife provides food, medicine, clothing, and other necessities for humans, but overexploitation can disrupt the sustainability of wildlife resources and severely threaten global biodiversity. Understanding the characteristics of consumer behavior is helpful for wildlife managers and policy makers, but the traditional survey methods are laborious and time-consuming. In contrast, culturomics may more efficiently identify the features of wildlife consumption. As a case study of the culturomics approach, we examined tiger bone wine consumption in China based on social media and Baidu search engine data. Tiger bone wine is one of the most purchased tiger products; its consumption is closely related to tiger poaching, which greatly threatens wild tiger survival. We searched a popular social media website for the term "tiger bone wine" and focused on posts that were originally created from 1 January 2012 to 31 December 2018. We filtered and classified posts related to the purchase, sale, or consumption of tiger bone wine and extracted information on providers, consumption motivations, year of production, and place of origin of the tiger bone wines based on the texts and photos of these posts. We found 756 posts related to tiger bone wine consumption, 113 of which mentioned providers of tiger bone wine, including friends (53%), elder relatives (37%), peer relatives (7%), and others (3%). Out of the 756 posts, 266 indicated the motivations of tiger bone wine consumption. Tiger bone wines were consumed as a tonic (34%), medicine (23%), game product (30%), and a symbol of wealth (28%). Some posts indicated ≥2 consumption motivations. These findings were consistent with the search queries from Baidu index. Such information could help develop targeted strategies for tiger conservation. The culturomics approach illustrated by our study is a rapid and cost-efficient way to characterize wildlife consumption.

Private‐label consumer studies: A review and future research agenda

AbstractFocusing on the consumer studies, this review investigates the private label (PL) research to identify emerging themes and future research avenues. Through a systematic review approach, we outline theories, contexts, and methods described in 145 PLconsumer studies published over the past five decades, unveiling a growing and formative body of literature consisting of five themes aggregated into the following three overarching themes: (1) PL buyer characteristics and perceptions, (2) PL marketing stimuli, and (3) PL post‐purchase‐related factors. In the context of these thematic areas, the present study identifies the factors influencing PL buying decision, highlighting peculiarities and characteristics of PL consumer behavior. Finally, we delineate long‐range research goals of PL consumer studies.

ТРАНСФОРМАЦІЯ МІКРОЕКОНОМІЧНОЇ МОДЕЛІ ПОВЕДІНКИ СПОЖИВАЧА НА РИНКУ В УМОВАХ ЦИФРОВОЇ ЕКОНОМІКИ

The factors that identify the characteristics of consumer behavior in the spread of information and communication technologies and their use in all spheres of society are studied in the article. The relevance of the study is due to the acceleration of the digital economy and its spread to all spheres of society, including the transformation of consumer preferences and value orientations in purchase decisions. The purpose of the article is to determine the characteristics of consumer behavior belonging to different generations. The issue of transformation of structure and, in particular, manner of consumption in the conditions of the digital economy is studied. The analysis of the influence of socio-economic and historical preconditions on the value orientations of consumers is carried out. Within the framework of the theory of generations, the issue of selection of stable social groups (generations), their periodization, and separation of the main values of each is considered. One of the key values that determine the affiliation to society, a certain generation, and, accordingly, form a certain microeconomic model of consumer behavior - cosmopolitanism in the growing pace of information and communication technologies, the availability of the Internet resources - is studied. There are analyzed the most important features of consumer behavior in the formation and development of the digital economy, characteristic of all generations, namely vertical trust (trust in public authorities and the media) and horizontal trust (trust in information obtained from the immediate environment and social media). The influence of social networks and the environment on purchasing decisions in terms of individual generations - X and Y - is considered. The increase in the level of access to information, the range of consumer opportunities to maximize the usefulness of goods through an individual approach to supply is analyzed. The peculiarities of market transformation and its focus on consumer preferences and values, the possibilities of digital technologies to reduce transaction costs in the buying and selling process, the prerequisites for shifting consumption from long-term to short-term type are defined.

МІКРОЕКОНОМІЧНИЙ АНАЛІЗ ПОВЕДІНКИ СПОЖИВАЧІВ ІЗ ПОГЛЯДУ ТЕОРІЇ ПОКОЛІНЬ В УМОВАХ ЦИФРОВІЗАЦІЇ

The article examines the determinants of consumer behaviour characteristics amid information and communication technologies and their use in all social spheres. The relevance of the study is due to the fostering of digital economy and its interference into the social spheres, including transformation of consumer preferences and values when making purchasing decisions. The objective of the article is to determine consumer behaviour characteristics belonging to different generations. The transformation of structure, but directly of the consumption character in the digital economy has been analyzed. The analysis of socio-economic and historical preconditions` impact on the consumers` value orientations have been carried out. Within the theory of generations` framework, the issue of social groupings` (generations`) stability selection, their periodization and main values` figuring out have been considered. One of the key values that determines their affiliation to a society, a certain generation, and, accordingly, forms a certain microeconomic model of consumer behaviour is cosmopolitanism in the growing pace of information and communication technologies distribution and the availability of Internet resources. The most important feature of consumer behaviour in the formation and development of the digital economy which characterizes all generations – vertical trust – trust in public authorities and the media and horizontal trust – trust in information obtained from the inner circle and social networks, has been studied. Social networks` and environment`s impact on purchasing decisions in terms of generations – X and Y has been examined. The growing level of access to information, the range of consumer opportunities to maximize goods` utility through individual approach to supply have been analyzed. The peculiarities of market transformation and its focus on consumer preferences and values, digital technologies resources to reduce transaction costs when buying and selling, the prerequisites for shifting consumption from the long term to the short term have been identified.

ПСИХОЛОГИЧЕСКИЙ АНАЛИЗ ПОТРЕБИТЕЛЬСКОГО ПОВЕДЕНИЯ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ

The consumer behavior of studying youths, as more susceptible to external stimuli of the social group, is not constant, it undergoes changes, and therefore, there is a need for a systematic study of its aspects. The article reveals the results of a study of the characteristics of consumer behavior of studying youths at the present stage. Based on the analysis of the data obtained, conclu-sions were drawn about marked consumer types, the degree of conspicuousness in consumption, consumer preferences, as well as the peculiarities of making a decision on purchases.