• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.455-466
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• 2020

The purpose of the paper is to explore the country-of-origin (COO) influence on the buying decisions of the United Arab Emirates (UAE) consumers. The collected data from 370 consumers were summarized and coded by using Software R Studio and Microsoft Excel. The independent variables were analyzed and tested for their significant impact on the dependent variable, final buying decision of the product/service based on its country of origin. The selected hypotheses tested by administering the Kruskal-Wallis (K-W) hypothesis testing technique. The researchers identified that UAE consumers buying decisions influenced mainly by the country of origin of the products and services. The demographic variables like age, education, country of origin influential factors, country of choice was not displaying any significant impact on the buying decisions of consumers. The survey is limited to cover the general consumers of the country who are randomly selected from Dubai and Sharjah emirates. The study is beneficial to all the types of marketers, including domestic and international companies, who have plans to know the exact influence on consumers' buying decisions. The present research paper is original and provides empirical evidence on the country of origin's impact on the buying decisions of different products/services in the UAE.

• International Journal of Human Ecology
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• 제5권2호
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• pp.81-91
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• 2004

The purpose of this study is to evaluate consumer use of unit price information introduced in Korea 1999. A total of 571 observations were analyzed by frequency, percent, and paired t-test using SPSS. The main findings are (1) consumers use unit price information to make better purchase decisions, (2) consumers with higher than average attentiveness in purchase behavior utilize unit price information to make better buying decisions, and (3) consumers with higher than average knowledge utilize unit price information to make better buying decisions. (4) Also if either attentiveness in purchase behavior or consumer knowledge is lower than average, unit price information helped consumers make better purchase decisions. (5) However, there was no difference among those consumers with below average or above average attentiveness and knowledge.

• Asian Journal of Business Environment
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• 제6권4호
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• pp.19-26
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• 2016

Purpose - The purpose of this paper is to elicit antecedents that influence the buying of counterfeit products in Raipur, an emerging capital city. Research Design, Data, and Methodology - 203 responses to the questionnaire were collected to come out with the results of the study. From the exploratory study, 20 variables were identified to have an influence on the buying of counterfeit products. Factor analysis was applied on the data collected and these items were grouped into four factors. Result - The findings suggest that safety implications have a significant impact on the buying of counterfeits in an emerging city - Raipur, India. Further studies that are specific to geographical locations could be carried out to validate the findings of this paper as the tastes and preferences of each of the markets are unique. Conclusions - For manufacturers, marketers and law enforcers it might be of great interest to learn that safety concerns are uppermost on the minds of people who deliberately or inadvertently consume counterfeits. If it can be conveyed effectively that consumption of counterfeits can cause more harm than increase in perceived value, it can be checked to a good extent.

• 유통과학연구
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• 제21권5호
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• pp.19-29
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• 2023

Purpose: The study's primary objective was to pinpoint the variables impacting consumers' impulsive purchasing decisions in the distribution centers in Kathmandu, the capital city of Nepal. Research design, data, and methodology: The independent variables used to identify consumer impulse buying behavior were the in-store displays, store employee behavior, reference groups, and promotional activities. A 6-point Likert scale questionnaire was employed for collecting the primary data from customers at the retail center of Kathmandu. The study's sample size was 396, employing a convenient sampling method. Statistical Package for the Social Sciences (SPSS) and Analysis of a Moment Structures (AMOS) have been used to show the relationships between dependent and independent variables. Results: The outcome of the path analysis using structural equation modeling demonstrates that in-store displays, reference groups, and store employees' behavior significantly influence the customers' impulse buying decisions in the distribution center. Additionally, it has been discovered that promotional activities have no significant impact on consumers' impulsive purchasing decisions made at the retail center of Kathmandu. Conclusions and Implications: The study's findings indicate that the actions of store personnel, reference groups, and in-store displays significantly contribute to the acceleration of impulsive purchases. Such findings provide researchers and business executives with a road map for the future.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.323-328
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• 2020

This study aims to analyze the changes in purchasing decisions in conducting transactions using cash and digital payment systems. Cash payment systems are very different from digital payments because they no longer use banks as intermediaries for transactions. The scope of this study is to determine the differences that take place with purchasing decisions using digital payment systems with OVO Indonesia smart applications. By using the paired T-test sample test method and testing the regression class assumptions, it is expected we will document the comparison between cash and digital payment systems as regards changes in consumers' buying interest behavior towards goods. Data is obtained by purposive sampling using special characteristics for smart application users. The results show that digital payments are developing very quickly, but cash payments still dominate due to the unavailability of complete facilities and infrastructure to support digital payment systems other than in cities. This study illustrates that digital payments have not been able to completely change consumer buying behavior in large numbers, but the main finding in this study is an increase in the percentage of digital payment usage to the online market, due to the many conveniences provided in OVO smart applications.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.939-948
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• 2021

The purpose of the research is to examine whether government regulation on Covid 19 pandemic has had a significant impact in economic sectors, particularly on consumer behavior. Thus there are three hypotheses, 1) viral marketing has an effect on online trust during the Covid-19 Pandemic Era, 2) viral marketing has an effect on impulse buying during the Covid-19 Pandemic Era, and 3) Viral marketing has an effect on impulse buying in the Covid-19 Pandemic Era through online trust. To test the hypotheses, questionnaires were distributed to 150 respondents, however, only 110 were selected due to incomplete data. There are 3 variables, namely viral marketing, online trust, and impulse buying, where online trust is also a mediating variable. Once the assumption test is completed, the researcher employs path analysis to test the hypotheses. The results are 1) there is an effect of viral marketing on online trust in the Covid-19 Pandemic Era, 2) There is no effect of viral marketing on impulse buying in the Covid-19 Pandemic Era, and 3) Viral marketing has an effect on impulse buying in the Covid-19 Pandemic Era through online trust. This means online trust succeed in mediating viral marketing-impulse buying relationship. The findings emphasized that the credibility of online trust enforce consumers in making buying decisions.

• Asia pacific journal of information systems
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• 제13권2호
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• pp.105-117
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• 2003

As E-commerce is getting more popular, consumers faces more decision complexity than ever before because they can get greater alternative choices. Futhermore, consumers are sometimes motivated to expand effort in making a good decision in the case of relatively important and non-routine decison, such as buying a house or car. Thus, a buying decision support function is required to help consumers make decisions that have the greatest effects on consumer's lives. We develop a propotype system of a web-based buying decision support system for a cyber shopping mall. A buying decision of a consumer is a multi-attribute decision problem and is supported using analytic hierarchy process model. The system was implemented using HTML, Java, Java applet, JSP.

• 유통과학연구
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• 제18권7호
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• pp.83-89
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• 2020

Purpose: This research explores the relationship between Nigerian consumer perception towards corporate social responsibility (CSR) and its influence on their buying behavior. Research design, data, and methodology: In order to achieve this, a structured three-part questionnaire was developed and distributed to 400 respondents to gather relevant information. The respondents were randomly selected from Lagos and Adamawa, Nigeria. Only 222 questionnaires. were completed and data was later analyzed using administering descriptive and inferential statistics. Results: a) Nigerian consumers have adequate knowledge about CSR; b) Nigerian consumers' awareness of socially responsible practices largely influences their purchasing decisions; c) Nigerian consumers' perceptions of the traditions of socially accountable actions influence their buying behavior. Conclusion: Although the research was targeted at the urban areas of Lagos and Jimeta/Yola in Nigeria, the findings indicate Nigerian consumers generally have a positive perception of CSR. The research offers invaluable contribution to the Nigerian corporates based on which they can reassess their existing CSR policies for better positioning of their company and their products.

• 한국경영과학회지
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• 제33권1호
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• pp.1-17
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• 2008

Market segmentation is a key strategic factor in increasing the expected profits, especially in the practice of revenue management. A manufacturing firm should manage both manufacturing quantities and pricing decisions over its segmented markets to maximize the expected profits, setting different price for each different segment. Also, market segments should be kept separate in order to prevent demand leakages between different market segments. In fact, even though the markets for different products are firmly segmented, it is not easy to keep separate segmentation because many products might be substitutable by customer buying behavior. That is, customers respond to price changes by purchasing other market's products instead of purchasing the originally requested products, which causes demand substitution effect ; This kind of substitution is referred to as price-driven substitution. Therefore, decisions on optimal prices should take into account the differences in customers' valuation of the different products. We consider a deterministic model for deciding optimal prices in the presence of price-driven substitution, and we compare both symmetrical-and asymmetrical-type demand substitutions between two segmented markets. The objective of this study is to develop analytical and numerical models to examine the impact of price-driven substitution on the optimal price levels and the total expected profits.

• ETRI Journal
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• 제15권3_4호
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• pp.47-59
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• 1994

A capacity expansion planning problem with buy-or-lease decisions is considered. Demands for capacity are deterministic and are given period-dependently at each period. Capacity additions occur by buying or leasing a capacity, and leased capacity at any period is reconverted to original source after a fixed length of periods, say, lease period. All cost functions (buying, leasing and idle costs) are assumed to be concave. And shortages of capacity and disposals are not considered. The properties of an optimal solution are characterized. This is then used in a tree search algorithm for the optimal solution and other two algorithms for a near-optimal solution are added. And these algorithms are illustrated with numerical examples.