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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Vol.20 No.11

ZAINOL, Zuraidah ; OMAR, Nor Asiah ; ZAINOL, Zuraini ; MOHD SHOKORY, Suzyanty ; ABAS, Bahijah pp.1-9 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.1
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Purpose: This study determines the effect of spending distribution, namely experiential, impulsive, self-expressive, prosocial, and conspicuous spending, on the financial well-being of young working women in Malaysia. Research design, data and methodology: This study employed a quantitative and deductive approach. A sample of 400 young working women was selected using a systematic sampling technique. Data were collected using a self-administered questionnaire and analysed using Structural Equation Modelling (CB-SEM). Results: The findings revealed prosocial and impulsive spending as the significant spending distribution to affect financial well-being. The effect of prosocial spending is positive on financial well-being, while the effect of impulsive spending is a negative predictor of financial well-being. All other spending distribution - experiential, self-expressive, and conspicuous spending - do not have a significant effect on financial well-being. Conclusion: To achieve financial well-being, young working women need to distribute the spending budget for the happiness of others and reduce impulse buying. The findings provide useful insights on the significant role of spending distribution in influencing, how to fuel young working women to develop good spending habits that consequently improve their financial well-being, for themselves and Malaysian economics, as well as the plausible solution to overcome financial problems and high indebtedness.

MOHD ROSDI, Siti Asma' ; RAMDAN, Mohamad Rohieszan ; ADAM, Sabrinah ; FUZI, Nursyazwani Mohd ; ABDUL RAZAK, Azila ; JAMALUDIN, Nurul Atasha pp.11-17 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.11
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Purpose: This article explores the experiences of Research Universities (RU) on distribution-support technologies in commercialisation with a specific focus in the Malaysian context. Research design, data and methodology: A qualitative research was carried out, in which six RU were interviewed. A structured interview was conducted. To analyse and interpret the data was using an approach adopted in qualitative thematic strategy. The findings were transcribed using Atlas.ti software to analyse related themes through a thematic analysis approach to link theories. Results: The findings provide useful insights into the significant roles of distribution-support technologies on the commercialisation strategy and impacts on the ecosystem of innovation and commercialisation in providing the importance of Distribution-support Technologies to strengthen the role of university-industry-community relation to drive the economy towards a high-income nation. Conclusions: This study will contribute theory through commercialisation literature by adding new knowledge concerning the link between universities and distribution-support technologies in commercialisation. Therefore, the practical contributions are significant for universities; industries; research institutes; government and societies to develop and plan strategically for effective, strategic and sustainable distribution-support technologies in innovation and commercialisation ecosystem.

KIREYEVA, Anel A. ; SABDENALIYEV, Bakhtiyar ; DOSZHAN, Raigul ; KREDINA, Anna A. ; YERMEKBAYEVA, Dinara pp.19-31 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.19
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Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

HARTANTO, Nico ; MANI, La ; JATI, Mustika ; JOSEPHINE, Ruth ; HIDAYAT, Z. pp.33-45 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.33
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Purpose: The development of online shopping trends in Indonesia is increasing, and Tokopedia is becoming one of the most popular e-commerce websites. The purpose of this study is to obtain empirical evidence whether mobile shopping, customer review, perceived credibility, and Korean celebrity endorsement affect online purchase decision, whether online purchase decision affects customer satisfaction, and whether customer satisfaction affects brand loyalty of customers in Tokopedia e-commerce. Research Design, data and methodology: Quantitative survey with data was collected using an online questionnaire with sample characteristics were Tokopedia customers who lived in Jakarta by 385 samples using the purposive sampling method, and data analysis was conducted using the Smartpls application program version 3.0. Results: Mobile shopping, customer review, and perceived credibility had positive effects on online purchase decision at Tokopedia in Jakarta. However, Korean celebrity endorsement did not have a positive effect on online purchase decision at Tokopedia in Jakarta. Furthermore, online purchase decision had a positive effect on customer satisfaction at Tokopedia in Jakarta, and customer satisfaction had a positive effect on brand loyalty at Tokopedia in Jakarta. Conclusions: This study proposes significant implications for maintaining customer relationships to achieve purchasing decision, customer satisfaction, and brand loyalty in the e-commerce industry.

NGUYEN, Linh Thi Dieu ; TRINH, Anh Thuy pp.47-59 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.47
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Purpose: The study aims to synthesize research trends regarding the distribution of 'other customer perception' on 'brand experience'; concurrently, to identify the promising research directions and suggest useful for managers. Research design, data, and methodology: The paper deals with the distribution of 'other customer perception' on 'brand experience' through evaluating a systematic review combined with biological mapping analysis (VOS viewer) with 226 documents published in 142 journals from 1987 to 2021. Results: The study synthesizes and analyzes existing literature reviews on the distribution of 'other customer perception' on 'brand experience', which mainly highlights three research topic groups. Exploring the component of relationship should be considered in the brand experience scale when the research context is the social interactions surrounding the customer's purchasing process. Moreover, the presence of mindfulness in several publications has suggested a potential research direction in the consumer behavior field. Conclusions: The systematic reports can be a useful reference for managers towards building brand experience based on distribution of 'other customer perception' with moderating of mindfulness - a new finding of behavioral interaction that has just experienced the Covid-19 pandemic which is experienced directly at the store and lead to many changes in consumer psychology.

SOLIKHAH, Efa Wakhidatus ; FATMAWATI, Indah ; WIDOWATI, Retno ; SUYANTO, M pp.61-69 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.61
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Purpose: Technological developments make the business competition even tighter. Digitalization makes it easier for business people in their efforts to encourage the formation of consumer buying behavior because of the availability of effective and efficient means of delivering information to be used to make purchasing decisions. The purpose of this study was to determine the effect of E-Wom and Website Attractiveness on E-Trust and Purchase Decision of online sales on Instagram with innovation acting as a moderating variable. Research design, data and methodology: This research sample is 170 Instagram users who have made online purchases from the local fashion brand. This research is quantitative explanative with data collection using questionnaires and analysis techniques using the Structural Equation Modeling (SEM) approach using AMOS. Results: The results showed that E-wom had a significant positive effect on Purchase decisions. Web Attractiveness has no significant effect on Purchase Decision. Ewom has a significant positive effect on E-trust. Web Attractiveness has a significant positive effect on E-trust. E-Trust has no significant effect on purchase decisions. Conclusions: Innovation can moderate the effect of E-trust on Purchase decisions. Purchase Decisions can be influenced by E-wom and E-trust, but not Web Attractiveness.

PHAM, Ngoc Thach ; BUI, Van Huyen ; HA, Dieu Linh ; LE, Thi Lan Huong pp.71-78 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.71
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Purpose: The study aims to investigate the impact of factors affecting the work motive distribution of public universities lecturers in Hanoi. Research design, data and methodology: The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 306 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables with reliable tools (SmartPLS 3.0 software). Results: The research results show that the intrisic motivation of the lecturers, the extrisic motivation of the lecturers and the job characteristics of the lecturers all have a positive impact on the motivation of public universities lecturers in Hanoi. In which, intrinsic motivation has the greatest influence on the work motive distribution of lecturers. In addition, the research results also prove that job characteristics affect the work motive distribution of lecturers. This is a new factor in the factors affecting the work motive distribution of public universities lecturers. Conclusion: Based on the research results, the authors propose some recommendations to increase the work motive distribution of public universities lecturers in Hanoi through improving the factors affecting their work motive distribution.

HASAN, Mostofa Mahmud ; HOSSAIN, BM Sajjad ; SAYEM, Md. Abu ; AFSAR, Mahnaz pp.79-88 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.79
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Purpose: The purpose of this study was to determine the effect of agricultural exports and imports on economic growth in Bangladesh and propose an upgraded and customized model of the supply chain for agribusiness growth in Bangladesh to achieve plain sailing and systematic operation and financial gains at home and abroad. Research design, data, and methodology: All data in the research have been collected from secondary sources. Gross domestic product was used as the dependent variable and exports and imports of agricultural products were used as independent variables. Pairwise Granger causality was utilized to see the impact of the variable responsible for the economic growth in Bangladesh and the causal relationship between the variables analyzed was measured using Johansen co-integration test. Results: From the empirical analysis, the researchers observed that agricultural commodity imports and exports have a unidirectional impact on economic growth in Bangladesh and a long-run causal link with economic growth in Bangladesh. The suggested supply chain model of agribusiness aids in achieving smooth operations, systematic management, and monetary gains both domestically and internationally. Conclusions: This paper contributes to the development of a more effective and profitable agribusiness supply chain in Bangladesh systematically through their theoretical and practical implications.

LE, Tri D. ; NGUYEN, Tan T. ; NGUYEN, Phuong N.D. ; NGUYEN, Thi Quynh Trang pp.89-98 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.89
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Purpose: Increasing competition in the higher education sector has prompted universities to enhance their marketing efforts and understand their potential customers. The study aims to explore how information sources are used and changed among prospective Vietnamese students during the decision-making process. Research Design, Data, and Methodology: This study undertakes a longitudinal study involving multiple rounds of data collection to better understand the decision-making process of prospective students. Data was collected from 12th -grade students in Vietnam through two rounds of quantitative surveys with 251 students and one round of qualitative interviews, spanning the duration of their senior year. The three stages of the decision-making process correspond to the three stages of pre-purchase period. Results: Most students decide that attending open days, taking career assessments, and looking up information online are the most important information sources to consider. The WOM sources are more important in the early stages, while university-generated sources and events are important in the later stages. Conclusion: Implications from this study may contribute to the design of more effective marketing communications campaigns as university marketers gain a better understanding of the distribution of information sources utilized for each specific stage of the decision-making process.

LEE, Won-Jun ; SHIN, Luke Yunkeun pp.99-108 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.99
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Purpose: The wide distribution of smartphones has changed life and user behavior. This phenomenon has both advantages and disadvantages for users. As smartphones become a part of our daily lives, smartphone addiction has recently become a social issue in many countries. This study explores factors that affect smartphone addiction and the consequences of addictive behaviors. Research design, data and methodology: Our model hypothesizes that four key factors determine addictive behavior: flow, enjoyment, preference for online social life, and escape reality. Commitment and compulsive use are mediating variables that connect key drivers and addictive results. Based on the SEM (structural equation model) analysis of 497 survey responses, these four driving factors each have a significant effect on the compulsive use of smartphones directly or indirectly; the compulsive use of smartphones directly influences the three results Results: We conducted a reliability and validity analysis, and the results were successful. In the hypothesis test, every path is accepted as expected at the significance level of 0.05. Conclusions: Among the four driving factors, escape reality is the vital factor influencing smartphone addiction and its consequences. And anxiety is the number one consequence influenced by the compulsive use of smartphones.

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Purpose: We would like to identify the appropriate size of stores in the commercial district suitable for the era of low growth. In addition, it is intended to present alternatives to prevent gentrification along with measures to revitalize commercial districts according to the selection of appropriate stores. Research design, data and methodology: The importance and commercial district usage patterns were identified through surveys by consumers and sellers. the demand and size of the commercial area were calculated based on the floating population and resident registration population. In addition, based on this, through metric analysis, the importance of the business district activation plan and what important matters can prevent gentrification were analyzed. Result: In this the study, 555 stores are currently operating in the target area, but it is seen as a commercial district with a scale that can operate 136 stores and 938 stores. In addition, it was analyzed that the Commercial Lease Protection Act needs to be strengthened to prevent gentrification. Conclusions: Due to the nature of small and medium-sized cities in Korea, commercial districts that have once lost their resilience must take much effort to find vitality. It is believed that local commercial districts will have resilience when diagnosis and recovery measures are adequately presented.

HO, Won ; WOO, Ho-Sung ; LEE, Dae-Hyun ; KIM, Yong pp.121-129 https://doi.org/https://doi.org/10.15722/jds.20.11.202211.121
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Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

The Journal of Distribution Science