THE DETERMINANTS OF HOUSE BUYERS' PURCHASE DECISIONS IN KOTA BHARU, KELANTAN

The issue of unsold homes in Malaysia has recently caused the housing developers great anxiety. The nationwide issue of unsold homes was caused by the fact that more homes were built than were purchased by customers. As a result, it is important to figure out what factors can influence potential homebuyers to make a purchase. In order to better understand this issue, the study's objective was to determine the factors that influence homebuyers' decisions in Kota Bharu, Kelantan. The study specifically sought to ascertain whether variables including quality, price, location, promotion, and corporate image had an effect on consumers' decisions to purchase homes. Since the nation was dealing with the Covid-19 outbreak, which made face-to-face questionnaire distribution on the ground nearly impossible to carry out, 382 respondents from Kota Bharu, Kelantan, participated in this study through questionnaires disseminated using the Google Form technique. This study used the Principal Axis Factor and Promax Rotation to evaluate the instruments. Before doing a bootstrapped regression analysis, all seven multiple regression assumptions were examined and verified. The findings showed that only location and promotion variables were positive and significantly influencing the house buying decision. These findings led to a number of strategy recommendations that helped the industry develop the best plans for boosting upcoming sales. It is hoped that by identifying the variables influencing homebuyers' purchasing decisions, housing developers can get an understanding of this phenomenon and be better able to plan and build homes that will live up to buyers' expectations. © 2023 by MIP.

Consumer decisions toward halal purchase before and during COVID-19 pandemic: a grey relational analysis approach

Purpose: The main objective of this research is to investigate the factors that influence consumer purchase decisions for halal products before and during the COVID-19 pandemic, based on the Engel-Kollat-Blackwell (EKB) theory. Design/methodology/approach: The research was conducted as a survey. The influencing factors were determined based on the grey relational analysis (GRA) approach. Findings: The findings indicate before the COVID-19 pandemic, consumers mainly purchased halal products based on four key factors: purchasing experience, certification label, Internet searches and past consumption experience. However, during the pandemic, the ranking and factors have changed to six indicators, which are past consumption experience, purchasing experience, certification labels, standardized specifications, Internet searches and halal certification labels. Research limitations/implications: The study was limited by the sample size and geographical area. Nevertheless, the findings could be further explored by expanding related theories toward understand human decisions based on spiritual beliefs. Practical implications: The findings of this study have important implications for research, practice and society. Understanding the factors influencing halal purchase decisions before and during the pandemic can help businesses, policymakers and halal certification bodies to better cater to consumers' needs and preferences and ensure the continued growth and development of the halal industry. Originality/value: This study evaluates halal purchasing decisions between periods of certainty and uncertainty by using the GRA. Changes in halal consumption and purchase decisions in response to COVID-19 pandemic have become an emerging topic of discovery. The study addresses the gap in the literature regarding changes in consumer decision pattern. © 2023, Emerald Publishing Limited.

Factors Influencing Car Buyers Purchase Decision During COVID-19 in Malaysia

Consumer behaviours are largely regulated by multiple factors from need recognition to search for products that would satisfy their requirements. The study in context to car purchase behaviour among the Malaysian consumer highlights increased car buying trends among the Malaysian consumers during the pandemic. Social distancing along with prohibiting the usage of public transport has increased difficulties of consumers thereby resulting in an increased tendency to opt for personal cars. Products features such as fuel consumption, reliability, comfort and performance that provide value and upgraded functionality plays a big role in purchase decision-making. Derived from the the product features leads to brand trust and inspired the decision to buy from the same brand. Affordable and acceptable ownership costs and the consequence purchase power plays important factors in influencing car purchase decision. Higher income people favouring more expensive cars and the subsequent high ownership costs. At the same time, social needs during the pandemic situation has prohibited individuals from close contacts and gatherings that further requires the consumers to purchase cars. COVID-19 pandemic that was known to be airborne and transmittable diseases had truly fundamental impact on purchase decision especially for car buyers. The research examine the correlation of consumer behaviour towards purchase decision specifically in Malaysian context. This research can be used as guidance to map the consumer behavior while providing future and practical insights for carmakers towards reviving car industry that being one of the hardest hit by the pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Purchase choice of COVID-19 business interruption insurance under different government subsidy models

From the perspective of multiple insurance subjects, this article studies the purchase of COVID-19 business interruption insurance under the government's direct subsidy model and the indirect subsidy model, so as to provide decision support for the collaborative management and control of interruption risks in the supply chain. Research conclusions are as follows: The COVID-19 business interruption insurance can effectively transfer the enterprise interruption risk, and when the manufacturer purchases insurance or joint (manufacturer and seller) purchase insurance, the effect of interruption risk transfer is better than when the seller purchases insurance;The risk transfer effect of the COVID-19 business interruption insurance mainly depends on the three key influencing factors of the interruption penalty coefficient, the government subsidy model and the premium rate. The combined effect of the three factors has caused changes in the decision boundary of the COVID-19 business interruption insurance purchase decision. As a result, joint purchase under the indirect subsidy model, joint purchase under the direct subsidy model, and manufacturer purchase under the direct subsidy model may all become the optimal purchase decision;The value realization and value appreciation paths of the COVID-19 business interruption insurance under different purchasers are different. © 2022 Systems Engineering Society of China. All rights reserved.

FACTORS OF CONSUMER BEHAVIOR IN THE PURCHASE PROCESS OF PERUVIAN BODEGAS IN THE CONTEXT OF COVID-19

The objective of the research was to determine the factors of consumer behavior that influence the purchase process of bodegas in the context of COVID-19 in the year 2021. The study was carried out from the quantitative approach, with a research design non-experimental-transversal-explanatory. A questionnaire consisting of 31 questions was applied to 399 consumers who attended Peruvian bodegas, who were randomly selected for the application of the instrument. The results generated by structural equations show that social factors and psychological factors of consumer behavior signifi-cantly influence the purchase process (p < 0.05);however, unlike the previous results, the cultural factors of consumer behavior do not have significant implications in the purchase decision (p value = 0.054 < α = 0.05) and in the feeling after the purchase (p value = 0.082 < α = 0.05), as well as the personal factors of consumer behavior do not have significant implications in the activity prior to the purchase (p value = 0.456 < α = 0.05). The conclusion of the research mentions that the factors of consumer behavior have an influence on the purchase process, however, some factors show a greater impact in the study. © 2022 The Author(s). Published by Vilnius Gediminas Technical University.

Food delivery, ghost kitchens and virtual restaurants: temporary or long-lasting game changers?

PurposeThis paper aims to investigate the phenomenon of online food purchasing in Italy and, specifically, Italian consumers' future intentions to use these services even after the end of the COVID-19 emergency. To this purpose, to understand if these phenomena are robust enough to represent irreversible and well-established trends, in the present study, consumers' Behavioural Intention was investigated.Design/methodology/approachA theoretical framework based on a preliminary literature analysis on the use of delivery services was developed. Then, an online survey was carried out in Italy during 2021. The data were then elaborated through an exploratory factor analysis (EFA), followed by confirmatory factor analysis (CFA). Following the verification of constructs reliability, a structural equation modelling (SEM) using the statistical tools, SPSS and R (Lavaan) was performed.FindingsThe results suggest that Behavioural Intention is influenced by items such as convenience, variety of food and time savings. Moreover, the relevant role of social networks and interpersonal relationships in influencing consumers' purchasing intentions has highlighted the importance of focussing on advertising campaigns and good "word of mouth."Originality/valueThe present research represents the first attempt to investigate the food delivery and ghost kitchens' phenomena, recently accepted thanks to the delivery applications use in Italy, a Country with strong gastronomic tradition and with an important digital gap. In this scenario, the research focused on the attention on the consumers' future intentions to use these services even after the end of the COVID-19 emergency.

StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation

Dealing with fashion multimedia big data with Artificial Intelligence (AI) algorithms has become an appealing challenge for computer scientists, since it can serve as inspiration for fashion designers and can also allow to predict the next trendy items in the fashion industry. Moreover, with the global spread of COVID-19 pandemic, social media contents have achieved an increasingly crucial factor in driving retail purchase decisions, thus it has become mandatory for fashion brand analysing social media pictures. In this light, this paper aims at presenting StyleTrendGAN, a novel custom deep learning framework that has the ability to generate fashion items. StyleTrendGAN combines a Dense Extreme Inception Network (DexiNed) for sketches extraction and Pix2Pix for the transformation of the input sketches into the new handbag models. StyleTrendGAN increases the efficiency and accuracy of the creation of new fashion models compared to previous ones and to the classic human approach;it aims to stimulate the creativity of designers and the visualization of the results of a production process without actually putting it into practice. The approach was applied and tested on a newly collected dataset, “MADAME” (iMage fAshion Dataset sociAl MEdia) of images collected from Instagram. The experiments yield high accuracy, demonstrating the effectiveness and suitability of the proposed approach. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

How Does Information Influence Consumers’ Purchase Decisions for Environmentally Friendly Farming Produce? Evidence from China and Japan Based on Choice Experiment

In this research, 600 Chinese and Japanese consumers were divided into four groups to analyze consumers’ marginal willingness to pay for environmentally friendly farming (EFF) produce. We found that Chinese consumers had high awareness of green foods, while Japanese consumers were more familiar with organic produce than specially cultivated produce, perhaps because the latter has not yet received uniform national certification in Japan. Choice experiments show that EFF produce prices and consumers’ income critically affect consumers’ decision to pay, especially in China. After each group read different formal definitions of EFF produce, Chinese consumers still preferred green food certification, whereas Japanese consumers chose specially cultivated carrots. Both displayed different ideological purchasing behaviors through added interaction terms with an increase in education. When no information was given, Japanese consumers’ purchasing decisions became more positive as their education levels rose. Possibly, highly educated Chinese consumers emphasize pragmatism, whereas Japanese consumers emphasize the connection between environmental protection and agriculture. Therefore, EFF messaging should be differentiated by region. For distributors committed to international trade in EFF products between developing and developed markets, we suggest lower costs, differentiated product messaging, and community initiatives events to enhance trade and marketing in both China and Japan.

The Influence Mechanism of Mainstream Media E-Commerce Live Streaming on Consumers' Purchase Decision: An Exploratory Study Based on Grounded Theory

Even though "Mainstream Media and E-Commerce Live Streaming"emerges as a new form of E-Commerce Live Streaming under the influence of the COVID-19 pandemic, its underlying mechanism in consumers' online shopping remains unexplored. Consequently, this paper explores this topic with a qualitative research through in-depth interviews with college students and graduate students. Based on the grounded theory and NVIVO 12.0 software, researchers explore the influences of mainstream media live streaming of consumers' purchase decision, and propose a framework of consumer purchased decision-making factors of 3 themes and 11 sub-themes. Overall, the findings contribute to the literature of E-Commerce Live Streaming and provide practical implications for mainstream media to better participate in E-Commerce live streaming platforms. © 2022 ACM.

The Impact of COVID-19 Pandemic and Consumer Purchase Behaviour on the Automotive Industry

The outbreak of COVID-19 has forced countries to lock borders to prevent the spread of infection. It broadly affects numerous industries and economies globally termed 'Coronanomics.' Subsequently, many corporate performances have suffered during this time, leading to dramatic changes in business activities and consumer behaviour. The pandemic outbreak has disrupted and challenged many industries. Hence, this study explores how the pandemic affected in automotive industry and factors influencing consumers' purchasing intention. Discuss the major aspects that motivate vehicle purchase after the pandemic outbreak and how the pandemic's negative effect partially reduced vehicle purchases' propensity and factors that could potentially affect the new car purchase decision. This project methodology adopted the CRISP-DM framework using power BI for data visualisation and R programming in implementation. This project focused on comparing traditional machine learning algorithms: Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NeuralNet, NNet), and deep learning algorithms: Multilayer Perceptron (MLP) to predict how likely it a customer will purchase a vehicle after the pandemic. Establish the models using a confusion matrix, and evaluate the accuracy rate and low misclassification rate. The most suitable algorithm with a higher accuracy rate and lower error rate will be chosen in the final model comparison and evaluation section. Furthermore, the NeuralNet model, with its accuracy of 99.97%, is the best fit model to predict vehicle purchase intention. © 2022 IEEE.

Innovative New Product Adoption of Renewable Energy Mobility Products at the Bottom of the Pyramid The Case of Hamba, an Integrated Community-Driven Solution

Current decision-making models do not cover the processes bottom of the pyramid consumers go through when selecting mobility solutions to address access challenges they face. We investigate the process these consumers go through in their complex context in adopting a community-based renewable energy mobility solution and developing a decision-making framework. Findings indicate the positive social, environmental, and economic impact of the mobility initiative on the livelihoods of the BOP consumers. The findings offer critical theoretical contributions specifically for decision making for the adoption of renewable energy-based mobility solutions for marginalized BOP consumers and social connectedness literature.

Online Promotions and Hedonic Motives as Moderators in the Relationship Between e-Impulsive Buying Tendency and Customer Satisfaction: Evidence From India

This research aims to empirically examine the interrelationships between online impulse buying tendencies (IBT), hedonic motives, online promotions, impulse purchase decision (IPD), and customer satisfaction. A structured survey instrument was used to collect data from 625 consumers from southern India. After checking the psychometric properties of the survey instrument with structural equation modeling, the moderated-mediation model was analyzed using Hayes PROCESS. The results showed that (i) impulse purchase decision (IPD) mediated the relationship between impulsive buying tendency (IBT) and customer satisfaction (CS), (ii) hedonic motives moderated the relationship between IBT and IPD, and (iii) hedonic motives and online promotions moderate the relationship between IPD and CS. This study contributes to the literature because it provides valuable insight into two-way and three-way interactions among the significant variables in consumer behavior. The COVID-19 global pandemic brought a paradigm change in consumer behavior, and thus understanding the e-shopper's IB behavior is critical for e-retailers to change their strategies to capture a broader market. The implications for marketing research are discussed.

Behavioural traits on purchasing two-wheelers - A buyers' perspective on post Covid

Two wheeler sectors generate more income to motor companies, dealers and helps to reduce the travel problem. Consumers have necessity of bikes in today's situation to maintain social distance and to avoid spread of diseases. In this sector people expect quality service from dealers and long life of the vehicle. In the present study the researchers aimed to analysis the satisfaction of consumer behaviour in two-wheeler purchase in the study area. Researcher collected primary data from 120 respondents by constructing organised questionnaire. The statistical tools like percentage analysis, rank analysis and chi-square test where used to analyse the primary data. It is finally concluded that consumers expect more quality for their product and good services from their dealers. © 2022 Author(s).

The Influence of Prices, Product Quality and Promotion on Customer Satisfaction through Purchase Decision Solaria Sumedang

The covid-19 pandemic caused a decrease in purchases at solaria in Sumedang, this pandemic made consumers to rethink before making a purchase besides that in this study there was a phenomenon that there was poor service, which made consumers feel dissatisfied with solaria services, which could have an impact on consumer purchasing decisions. This study was conducted to determine the results of the effect of price, product quality and promotion on customer satisfaction through the purchase decision of Solaria Sumedang. This study uses descriptive research, with the PLS SEM analysis technique and non-probability sampling sampling technique using the Bernoulli formula to determine the number of samples that will be used in this study as a sample, after calculating the sample with the Bernoulli formula, there are 96 respondents which are then rounded up to 100 respondents. Based on the results of the descriptive analysis that has been carried out, it can be seen that the assessment of respondents who are 100 people as consumers who have made purchases at least twice at Solaria Sumedang, on the variables studied, respondents' responses to the independent variables, namely regarding price perceptions, product quality and promotions carried out are in the good category, then the respondents' responses to the intervening variable purchasing decisions are in the good category and the dependent variable customer satisfaction is in the good category. The conclusion of this study is based on the results of hypothesis testing (path coefficient), by comparing the results of t-statistics with t-tables (1.984) and with a significance level of 5% (0.05). Price has an effect on purchasing decisions, product quality has an effect on purchasing decisions, promotions have an effect on purchasing decisions, purchase decisions have an effect on customer satisfaction, price has no effect on customer satisfaction, product quality has no effect on customer satisfaction, promotions have no effect on customer satisfaction. © IEOM Society International.

Customers response to online food delivery services during COVID-19 outbreak using binary logistic regression.

This study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID-19 outbreak in India. Data are collected from 462 OFDs customers. Binary logistic regression is used to examine the respondents' characteristics, such as age, patronage frequency before the lockdown, affective and instrumental beliefs, product involvement and the perceived threat, to examine the significant differences between the two categories of OFDs customers. The binary logistic regression concludes that respondents exhibiting high-perceived threat, less product involvement, less perceived benefit on OFDs and less frequency of online food orders are less likely to order food through OFDs. This study provides specific guidelines to create crisis management strategies.