The research aims to identify the components of brand equity that affect consumer purchasing intentions and measure the effect of brand equity components on the intention of consumer purchases at the convenience stores in Ho Chi Minh City. The authors conduct the group discussions, expert discussion, and then analyze data from 200 valid questionnaires with four components of brand equity, namely perceived quality, brand loyalty, brand association, brand awareness. The results of Exploratory Factor Analysis (EFA) show that all four elements have a positive effect on the customer' intention to purchase in the convenience store of Ho Chi Minh City. In particular, the brand association factor has the strongest influence, followed by perceived quality, brand awareness, and brand loyalty. This research contributes that the results confirm the theory of Aaker (1991), Brown and Stayman (1992), Cobb-Walgren et al. (1995), MacKenzie (1986) in the new context of convenience stores in Ho Chi Minh City, Vietnam. Besides, the study gives some recommendations to help convenience stores improve the elements of brand equity and it, to enhance attraction for consumers.
The purpose of this study is to identify the factors affecting the intention of buying a townhouse by customers in District 9, Ho Chi Minh City. To conduct the research, there is 192 validrespondents and the authors determine six factors affecting the intention of buying customers' houses in District 9 of Ho Chi Minh City: developer brand, price, location, housing characteristics, social influence and legal. The results of the exploratory factor analysis (EFA) show that all of these six factors affect the intention to buy townhouses in the District 9 area of customers. The contribution of the study is that the authors confirm the theory of Ajzen and Fishbein (1975), Ajzen (1985), Ajzen (1991) and compare some empirical studies of Salah et al. (2015), Julius et al. (2016), Haddad et al. (2011), Nguyen (2013), Vo (2013), Vo (2016), Pham (2013). Also, from qualitative and research-related studies, the authors adjusted the scale and analyzed data in the current context. Based on that, research and propose solutions to improve the intention of buying houses in District 9 of customers and orienting for further research.
This research aims to discover and confirm the factors of e-WOM that influence users' shopping intentions on Instagram. The data was collected from 700 customers who belong to Gen Y and Gen Z from 18 to 39 years old who live and work in Vietnam. The research model and the scales were built from the empirical research of e-WOM from Lim (2016); Park et al. (2007); Prendergast et al. (2010). Quantitative methods were performed by Cronbach's Alpha reliability testing, EFA discovery factor analysis, regression, and ANOVA test. The research results showed that the fourth factor of e-WOM positively impacts users' purchase intent on Instagram with decreasing levels as Information Provider's Expertise, the quantity of e-WOM, and the Source credibility of e-WOM, and the quality of e-WOM, respectively. Also, users' purchase intention on Instagram under the impact of e-WOM varies by gender, but there is no difference by age and income.
The purpose of this research is to explore the scale and identify factors affecting employee satisfaction in a particular business; namely, land sales staff in Ho Chi Minh City area. To conduct the research, the authors do group discussions and expert discussion and then analyzed 201 observations with six factors: The nature of work, promotion and training, leadership, co-worker, income and working environment. The results of Exploratory Factor Analysis(EFA) show that there are five factors: Work nature, promotion and training, co-worker, income and working environment that has a positive impact on employee satisfaction; besides, the interesting result from the research is that the leading factor negatively affects the satisfaction of land sales staffs in Ho Chi Minh City, Vietnam. The contribution of this study is that the authors confirm the theory of Herzberg (1966), Ludy (2005), Nunnally and Bernstein, Spector (1997), Smith et al (1969) and Vroom (1964) in the context of the land plot sales staffs. Also, from qualitative studies and relevant studies, the author has adjusted the scale and analyzed data in a new context. Based on that, the research recommends the necessary management solutions to increase employee satisfaction and open a new field for further research.
Purpose – The paper aims to resolve three major issues in location-based applications (LBA) known as heterogeneity, user privacy, and context-awareness by proposing an elastic and open design platform named OpenLS privacy-aware middleware (OPM) for LBA. Design/methodology/approach – The paper analyzes relevant approaches ranging from both academia and mobile industry community and insists the importance of heterogeneity, user privacy, and context-awareness towards the development of LBA. Findings – The paper proposes the OPM by design. As a result, the OPM consists of two main component named application middleware and location middleware, which are cooperatively functioned to achieve the above goals. In addition, the paper has given the implementation of the OPM as well as its experiments. It is noted that two privacy-preserving techniques at two different levels are integrated into the OPM, including Memorizing algorithm at the application level and Bob-tree at the database level. Last but not least, the paper shows further discussion about other problems and improvements that might be needed for the OPM. Research limitations/implications – Each issue has its sub problems that cause more influences to the OPM. Besides, each of the issues requires more investigations in depth in order to have better solutions in detail. Therefore, more overall experiments should be conducted to assure the OPM's scalability and effectiveness. Practical implications – The paper hopefully promotes and speeds up the development of LBA when providing the OPM with suitable application programming interfaces and conforming the OpenLS standard. Originality/value – This paper shows its originality towards location-based service (LBS) providers to develop their applications and proposes the OPM as a unified solution dealing with heterogeneity, user privacy, and context-awareness in the world of LBS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.