Consumer Behavior In Terms Research Articles

DIGITAL BUSINESS TRANSFORMATION: ANALYSIS OF THE EFFECT ARTIFICIAL INTELLIGENCE IN E-COMMERCE’S PRODUCT RECOMMENDATION

The purpose of this study is to determine whether artificial intelligence used in E-Commerce influences product recommendations for users. This study explains how much influence artificial intelligence on product recommendations supplied by E-commerce in terms of consumer behavior in making purchasing decisions. Research methods. This research used bibliometric analysis to find the mapping of this topic with articles period 2017 to 2023 from Scopus database. Of the 103 articles were showed by keyword and analyzing the articles according to the relate of the content about 29 articles were finally obtained. The research result is Artificial Intelligence has influence for E-commerce, recommendation system, decision support system, customer behaviour’s, and customer trust. Product recommendations have an impact on E-Commerce. Conclusion. However, from the literature review, founded that there are still a few journals discussing related to considerations to the implementation regarding the use of AI in e-commerce "Consumer behaviour", "Customer Trust", "Purchasing decisions". This study is also useful to generate additional AI-related research in e-commerce and unquestionably for a fresh subject will be covered especially in context of product recommendations on E-commerce.

Does Robotaxi Offer a Positive Travel Experience? A Study of the Key Factors That Influence Consumers’ Use of the Robotaxi

Presently, robotaxi is being tested in cities such as Beijing, Changsha, Guangzhou, etc., and it remains a relatively new mode of transportation for consumers. Considering that robotaxi is a new mobility model, its popularity has an immediate impact on the function and efficiency of urban traffic, so further research on consumers’ perceptions is necessary in order to improve their acceptance of robotaxi. In this study, we explored the behavioral intention of current users of robotaxi based on their performance expectancy, effort expectation, and perceived risk. Based on the results, it appears that performance expectations and effort expectations positively influence usage intentions, which indicates that improving travel efficiency and lowering the threshold for robotaxi use will assist consumers in accepting it. In terms of consumer behavior, perceived risk negatively impacts usage intention, meaning that personal safety, service quality, and travel experience are important factors. Performance expectancy and effort expectancy are positively correlated, indicating that improving travel efficiency and lowering thresholds are complementary.

Big Data Aggregation, Visualization and Clustering for Smart Grid in Smart City using Machine Learning

Electrical energy is one of the most important components of life today where different fields depend on it. The field of electrical energy distribution (electricity network), which transmits electrical energy from sources to consumers, is one of the most important areas that need to be developed and improved. In addition to analyzing electrical energy consumption, it needs to forecast consumption and determine consumer behavior in terms of consumption and how to balance supply and demand. The research aims to analyze weather data and find the relation between the weather factors and energy consumption in order to prepare data to use as a suitable data in machine learning model for future use. This model analyzes the building consumption rate for a particular area and takes into account the weather factors that affect electrical energy consumption, where (temperature, dew point, ultraviolet index) are selects based on the correlation confidence and then divided these factors into a set of categories using the K-Means algorithm to show the effect of each factors on the other. Index Terms— Big data, IoT, smart city, smart grid, smart meter, clustering, k-means clustering.

Business Comparative Analysis on Kopi Jigana Business and Kopi Inspirasi

Coffee is one of the plantation commodities that has an important role in the Indonesian economy. The proliferation of coffee shops has led to intense business competition, resulting in fluctuations in sales for coffee shops that are less able to compete. This study aims to describe the characteristics of consumers, business processes, as well as the potential and constraints experienced by Lain Hati coffee and Kedai Kopi Inspiration. The method used in this study is a survey method with descriptive statistical analysis tools. The number of samples in this study were 15 people on Jigana coffee and 15 people on Inspiration Coffee. The results showed that the characteristics of consumers in Jigana coffee and Kopi Inspirasi were dominated by men and of productive age, from 20-30 years old with an average income of Rp. 1,000,000 - Rp. 5,000,000. In terms of consumer behavior, most of the consumers of the two coffee shops are more interested in coffee that tastes good/delicious and has a comfortable atmosphere. The business processes in Jigana coffee and Inspiration coffee are relatively the same. The potential and constraints of Jigana coffee and Inspiration coffee are in product variables, location, facilities, equipment completeness, and human resources.

Changes in consumer behaviour in the food market in a crisis

This article deals with changes in consumer behavior in the food market during a crisis. A crisis can be described as a pandemic during the COVID-19 pandemic, war conflict in Ukraine and a high inflation rate that causes increasing prices of food and other items. All of this affected consumer behaviour in terms of purchasing behaviour and preferences. Consumers changed their behaviour, and we could notice rationality and irrationality in many cases. The research involved 565 respondents in a questionnaire survey conducted in the spring of 2022. The confidence interval at the level of max determined the sample size. +-5% at the significance level α=0.95. The paper presents and examines three hypotheses directly connected with the main aim of the paper. The questionnaire survey provided a solid base for our statistical evaluation, where we used the Mann-Whitney test, Kruskal-Wallis test, Friedman test, Principal component analysis (PCA) and Divisive hierarchical cluster analysis. Research results proved that food design and packaging were among the least important factors when buying food online during a crisis, and younger consumers least avoided the Internet when buying food. Just partially accepted was proven our hypothesis that demographic characteristics (age, gender, place of residence) significantly influenced the importance of factors when buying food via the Internet in times of crisis.

STOCKPILING IN A PANDEMIC: HOW COVID-19 HAS CHANGED CONSUMER’S FOOD PURCHASING BEHAVIOUR

COVID-19 pandemic has been a massive disruption to the way of life and has forced people to adapt to new norms and changes in daily activities. The pandemic has also had a significant impact on consumer behaviour, particularly in the way people purchase food. One of the most notable changes observed is the rise in stockpiling behaviour where people are purchasing more food than they would normally need. Based on the literature review, three aspects were recognised as COVID-19 situational factors that could potentially impact consumers’ stockpiling behaviour, namely health and safety concerns, perception of current food product supply, and technological adaptation. To understand the impact of COVID-19 on consumers’ food stockpiling behaviour, this study was conducted among 400 Malaysian consumers through the distribution of questionnaires. The results found that all three factors had a positive and significant impact on consumer stockpiling behaviour. In particular, people became increasingly concerned about the pandemic and the potential for food shortages, and as they became more technologically savvy, they were more likely to purchase food products and stockpile them. This study provides valuable insights into how COVID-19 has affected consumer behaviour in relation to stockpiling food. It is a starting point for understanding how consumer behaviour has been impacted by the pandemic and how it can help shape future strategies for managing food supply and distribution. The findings of the study could be used to inform food supply chain management strategies, particularly in terms of consumer behaviour and demand for food products during the pandemic. Future research could aim to replicate the study in different locations and with larger sample sizes to further understand the impact of COVID-19 on consumer behaviour.

‘A fur coat and a blunted vocabulary are misfits’: Representations of Munitionettes’ Fashion and Class during the First World War

This article offers new insights into the way fashion was used to identify and disseminate discourses surrounding patriotism and class during the First World War. Official directives encouraged frugality; thus any extravagance was deemed to be unpatriotic. Wartime narratives targeting the alleged disconnect between women and the reality of war were depicted in satirical cartoons. Upper-class women were depicted wearing expensive, new, ‘ragged’ clothes, whereas lower-class munition workers faced accusations of profligacy exemplified by the wearing of fur coats, previously out of their financial reach. Expensive furs had historically been considered the preserve of the wealthy and royal echelons of society. Therefore, the wearing of such garments, even if made from cheaper pelts, by lower-class female factory workers led to assumptions of their impropriety. Cartoons depicted consumer behaviour in terms of class, which further cemented the trope of the fur-wearing munitionette profiting from the war. The caricatures analysed in this article are contrasted with a consideration of the actual purchases made by working-class women, to add a more nuanced interpretation of the hyperbolic condemnation of munition workers during the First World War.

Consumers' willingness to pay for corporate social responsibility: Theory and evidence

AbstractIn an era when consumers believe that businesses should engage in corporate social responsibility (CSR), it is vital to understand how it affects consumers' willingness to pay (WTP) for the goods and services offered by such businesses. There is a need for an in‐depth study into the relationship between CSR and WTP, and to identify the mediators and the moderators affecting this relationship. To investigate this, we conducted a systematic literature review based on a preliminary search result of 116 unique articles indexed on this topic in four bibliographic databases—Scopus, Google Scholar, Dimensions and Web of Science—published over the previous seven decades. The findings confirm the overall positive effect of CSR on WTP. This study also reveals the indirect effect between CSR and WTP, mediated by variables like Brand Trust, Brand Loyalty, Brand Love, Customer Satisfaction, Brand Attitude, Purchase Intention and Brand Equity. The relationship is impacted by moderators, including demographics, cause‐based aspects, company characteristics, personal aspects and types of products. The theory explaining the evidence of each of these aspects provides a deeper understanding of the relationship between CSR and WTP, and the intervening variables. Based on these, a conceptual framework of this relationship involving all the variables is developed. The Theory, Context and Method (TCM) framework is employed to identify gaps and systematically make recommendations for future research. The findings of this study will aid marketers in developing pricing strategies based on a thorough understanding of consumer behaviour in terms of CSR perceptions. Scholars can use this study's conceptual framework to examine previously unexplored relationships. As the literature on CSR and its influence on consumers' purchase behaviour grows, this comprehensive systematic literature review on the effects of CSR on WTP fills an important gap.

Moroccan Consumer Energy Consumption Itemsets and Inter-Appliance Associations Using Machine Learning Algorithms and Data Mining Techniques

Abstract The study aims to analyze the patterns of home appliance use and energy consumption among Moroccan consumers using the MORED dataset. Machine learning algorithms and data mining techniques are applied to understand consumer behavior in terms of energy usage. The results provide insights into the inter-appliance association and peak hours, which will be used to design an Energy Demand Management System (EDMS) for Moroccan buildings in the future. The purpose of this research is to support the development of an effective EDMS and to encourage end-user involvement in energy management in Morocco.

Brand dilemmas in the context of changes in consumer behaviour related to market crises

The current macroeconomic environment poses major challenges for brands and their communications. Consumer buying behaviour is changing, pressures on marketing budgets are mounting, the question of the meaningfulness of brand campaigns at the expense of performance is much more open in uncertain times. At the same time, brands are trying to work more with price to respond to the cooling of consumer behaviour. Pandemics, the war in Ukraine, high inflation, the conflict in Israel – all bring new challenges for brands and their marketing/communications budgets. At the same time, Generation Z is becoming economically active, which research says is very different from previous generations. Both in terms of consumer behavior and media consumption, but it is also a challenge for employers, as their work expectations are also different than they were for previous generations. Thus, the paper raises several communication dilemmas for brands in a dynamic environment based on an analysis of secondary research, relevant scholarly and professional sources, insights from Marketing Rulezz conferences and brand examples. The article is based on the topic of the VEGA project.

CUSTOMER LOYALTY MANAGEMENT IN A MODERN DIGITAL ENVIRONMENT

The article has carried out the importance of consumer loyalty, the factors that influence it, and the main current emphases of loyalty management in the modern digital environment. Factors that affected consumer behavior in terms of loyalty have been highlighted, i.e. the change in the structure of consumption, ongoing processes of digitalization, consumer lifestyle changes, and values change of consumers. The present-day emphases on approaches to loyalty management are investigated. The first one concerns personalization based on consumer value orientation and engagement. The second one concerns the means of their implementation that are embodied in the digital environment via omnichannel marketing, which involves creating a seamless experience of switching between channels. The content of the loyalty program and its means of implementation can be treated as the main elements of "input" in the loyal business model.

Simulation Modeling Of Consumer Behavior Within The Concept Of Smart Consumption

The article is devoted to the study of consumer behavior. The developed system allows to prevent food losses at all stages of its life cycle. The system contains software hardware and information components that ensure its operation. The information component is created by generating databases that are related to the software, as well as obtained from consumers, filling out web forms or through a mobile app. The social aspect of the system is taken into account in the region, because without it cannot be considered a full-fledged system. In turn, the decision of the consumer to participate in this system depends on the type of consumer behavior. For a deeper understanding of the social component of the developed system, the author explored the concept of "consumer behavior" and considered the possibility of its adjustment. The paper describes the formation of consumer behavior in terms of psychology and economics.The possibility of correcting consumer behavior to encourage participation in the system of collecting information using social engineering methods is considered. The phases of consumer choice in which it is possible to adjust consumer behavior are described. The author interviewed 1,000 respondents to study their consumer behavior. Based on the data obtained from the survey, the author developed a simulation model that reproduces the process of moving customers in the trading hall of the store. The main points of influence on the consumer in the trading hall are determined with the help of the simulation model. The author has developed and recommended the use of strategies for the correction of consumer behavior within the developed concept of smart packaging.

ROLE OF SOCIAL MEDIA MARKETING AND PRICE SENSITIVITY ON PURCHASE BEHAVIOUR: AN SEM-BASED STUDY ON LUXURY PRODUCTS

The primary purpose of the study was to investigate customer behaviour regarding luxury products in reference to Social media marketing and price sensitivity. The evaluation must be conducted to determine the effect of Social media and Price sensitivity on Consumer Behavior. The research focused the analysis on 100 responses about price sensitivity and social media. This study is ongoing research, and a continuation of this paper is being done with other variables using a representative sample, which will be compiled in another comparative study. Millennial customers have been connected with an environment preference, socially responsible items, and high-tech goods; they have been exposed to fast-spending, hedonistic consumers; nonetheless, there is little unanimity over the generation's behaviour. The debate is whether millennials are more price-sensitive, convincible through social media marketing or sensitive to the ethical consumption of valuable goods. The primary purpose of the empirical study was to investigate millennial utilitarian consumer behaviour in terms of their cause by price-sensitive and Value - Co-Creation and their propensity to buy from a company active in corporate citizenship (CSR). We constructed a model for focusing on a particular practical product to examine millennial consumers' inclination towards social media messages and price sensitivity about luxury products. The results indicate that millennial customers are less price-conscious regarding product attributes and prioritize value-co-creation over budget when social media marketing involvement is highlighted. In terms of management, the results highlight the need to establish a more uniform consumer perception to study their intention, motivation, and attitude toward organic foods (considered luxury in the region's society). Important aspects include the analysis of the relationship between price and consumer behaviour and the decision-making of customers.

Research on Effects of Herd Behavior and Customer Commitment on Customer Behavioral Intention and Post-purchase Disorder: A Case Study of Multilevel Marketing

In daily life, many decisions are influenced by the opinions of others. This behavior is mainly due to the norms under social pressure, fearing that there would be bad consequences if we do not abide by them. In previous studies, herd behavior driven by peer groups has been discussed in terms of consumer behavior, but few scholars have considered that consumers’ purchase behavior that is driven by “unfamiliar groups” research object. Thus, focusing on consumers’ purchase decisions which are influenced by unfamiliar groups in social gatherings, the relationship between herd behavior and customer commitment was explored with the factors and effects of post-purchase disorders. A questionnaire survey was carried out with 199 valid returns. The research results showed that herd behavior positively affected customer commitment and customer behavior intention in participating in multi-level marketing activities, and customer commitment also positively affected customer behavior intention. However, customer behavior intention showed no correlation with cognitive dissonance. From the perspective of customers, it is necessary to avoid participating in gatherings similar to multi-level marketing which damages customers’ rights and interests.

Analyses and Suggestions on Milk Tea Industry in Terms of Consumer Behavior: Based on the Cases of HEYTEA

Milk tea industry takes up a relatively large proportion of Chinese catering, and HEYTEA is one of the most popular among all the milk tea brands. Even in 2020, when the pandemic spread fiercely, HEYTEA was not influenced much. In this paper, the author analyzes the reason for these phenomena in terms of theories in consumer behavior and give out several suggestions for how the brand can do to increase its sales under different circumstance in the future. In this paper, quantitive data is used for many times, as it could carry out statistical analysis of some facts of milk tea brands. This makes it eaasier to make comparisons among figures like sales and number of stores in different milk tea brands. The conclusion is also based on the successful applications of consumer behaviour of HEYTEA. This paper could provide information about the strategies that could be applied to increase the sales and gain popularity.

Consumer Behavior of Young People in the Context of Health and COVID-19 Pandemic in Slovakia

Following the outbreak of the COVID-19 pandemic, which affected the whole world, including Slovakia, there were changes in people's habits and consumer behavior, as well as an intervention in a healthy lifestyle. As a result of the extremely rapid spread of the COVID-19 pandemic, habits have changed in terms of consumer behavior and health, which has also affected young people's lives. The main objective of this study was to identify consumer behavior of young people including their lifestyle, eating habits, and purchasing behavior during the COVID-19 pandemic. In total, 300 respondents up to 35 years participated in the questionnaire survey. Nonparametric and multivariate statistics were applied. The results showed that young respondents did not record decrease in physical activity nor increase in weight. However, the majority of them increased the consumption of nutritional supplements. The most important factors during purchase of healthy food were the taste from previous experiences and the quality. Furthermore, respondents indicated that they did not record an increase neither in using online platforms for fast food delivery nor purchasing food online.

Neuromarketing: a systematic review

The aim of this systematic review is to elucidate how the Neuromarketing field has been studied in terms of consumer behavior through experimental protocols that make use of statistics (quantitative analysis). At the same time, it aims to verify how new Neuromarketing protocols can better clarify consumer behavior patterns, as well as understand the decision-making process and how to meet consumer needs. Articles dated between 2016 and 2020 were initially collected in the PubMed, Science Direct and DOAJ databases and subjected to a filtering to remove duplicates and apply the exclusion criteria, which resulted in 13 final articles selected. Although studies suggest it is necessary to customize ads, generate positive emotions, use the image and speech of famous people and attractive packaging to be able to capture the consumer's attention, a methodological standardization is necessary among neuromarketing research so that they can be replicated and their hypotheses become capable of being validated.

Segmentation of gastronomic consumers following Instagram influencers based on destination preferences and the effect of Covid-19 on their consumption

THE AIM OF THE PAPER
 The aim of the study is to explore the impact of gastronomic influencers on Instagram on consumer decision before choosing a restaurant. It also examines the role of the characteristics of destination in consumer decision-making process. The article also highlights the impact of the Covid-19 Pandemic and its impact on consumers’ decision process in that context.
 METHODOLOGY
 In order to analyze the main research questions, a quantative survey with 329 valid responses was implemented and descriptive statistics, relationship analysis methods and linear regression were used to answer the research questions. The research question also required the use of a subsample (n=185) in which respondents who are willing to travel for gastronomic purposes were examined during the Pandemic.
 MOST IMPORTANT RESULTS
 According to the results, the collection of information from gastronomic influencers on the Instagram interface is popular among the respondents, and the influencers’ activity has a positive effect on the number of visitors to the destinations. Thus, it can be said that the relationship between the influencer and the destination is characterized by a significant, medium strength relationship. Furthermore, the results also revealed that the Pandemic has led to an increase in consumers’ intentions to consume in restaurants.
 RECOMMENDATIONS
 As social media plays an increasingly important role in the decision-making process, it is important that professionals, service providers and researchers explore the views of consumers in the context under study. The results are highlighted in terms of destination development and in terms of consumer behavior.

Perubahan Perilaku Konsumen Sebagai Dampak Kebijakan PPnBM di Surabaya Pada Tahun 2021

During the Covid-19 pandemic, the Indonesian economic sector experienced a significant decline, one of which was the car market. The strategy taken by the government to increase people's purchasing power, especially cars, to receive PPnBM relaxation starting in March 2021. This PPnBM relaxation aims to encourage the industry to move and boost car sales so that in some sectors things can return to normal. This study aims to determine changes in consumer behavior from the impact of PPnBM policies in terms of consumer behavior in Surabaya. This research was conducted using a qualitative method with a non-probability sampling technique, and also used in-depth interviews with resource persons who met the criteria determined by the author. Based on the results of the analysis of the author's in-depth interview with the resource person, it was found that there was a correlation between the answers given by the resource person and the theory used by the author as a reference in conducting this research

Digital Marketing Utilization Index for Evaluating and Improving Company Digital Marketing Capability

The convergence of information technology, media, and telecommunications has altered consumer behavior in terms of searching, obtaining, processing, and responding to a company’s information or services. The ability of a company to plan, implement, and manage digital marketing to increase its competitiveness in the eyes of consumers is referred to as digital marketing capability. This research presents a digital marketing utilization index (DMUI) to evaluate and improve a company’s digital marketing capability. DMUI is made up of three components: the innovation ecosystem readiness, the adoption of digital marketing technology, and the company’s digital transformation. Based on data from 217 companies in Indonesia, the results show that the DMUI of companies in Indonesia has an average of 71.97, indicating that the level of digital marketing capabilities of companies in Indonesia is in the medium category. They can improve their digital marketing capabilities by increasing the role of managerial innovativeness, organizational readiness, and perceived usefulness. Furthermore, businesses must carry out digital transformation by governing the transformation and reinvention of new business models. Finally, in addition to implementing digital marketing via websites, social media, mobile marketing, and content marketing, they must emphasize the importance of digital analytics, digital CRM, digital advertising, and display advertising to improve their company’s digital marketing capabilities.