Volume 2 Issue 2 July – December 2025

Abstract

This study aims to explore the relationship between talent management and academic staff retention. Specifically, it seeks to identify how different dimensions of talent management such as succession planning, training, coaching, mentoring, and career management influence the retention of academic staff. A quantitative approach was adopted, with data collected from 170 academic staff members at public campuses in Butwal Sub-metropolitan City using a structured questionnaire. The data were analyzed using statistical tools, including PLS-SEM software, with various techniques such as assessment of measurement items, model fit, IPMA, and the implementation of bootstrapping for hypothesis testing. The results revealed that mentoring and coaching, as components of talent management, are key predictors of academic staff retention. The findings indicate that these factors are major contributors to academic staff retention. Therefore, the management of public campuses should prioritize these aspects to enhance staff retention. By understanding and revising policies based on these factors, there is a greater likelihood of improving academic staff retention. Keywords: Talent Management, Academic Staff Retention, Mentoring, Coaching and Succession Planning.

Abstract

The study aims to explore the relationship between Personality Traits and Academic Performance. It seeks to identify how different dimensions of Personality Traits influence Academic Performance. The study adopted a quantitative approach, gathering responses from 290 management students of Butwal Sub-Metropolitan City using a structured questionnaire, following a simple random sampling method. Data was analyzed using PLS-SEM such as assessment of measurement items, Model fit, IPMA and implemented bootstrapping techniques for hypothesis. The results revealed that Conscientiousness and Openness to Experience of Personality traits are the key predictors of Academic Performance of Management Students. It is evident that these Conscientiousness and Openness to Experience are the major contributors to the Academic Performance. Therefore, the management Campuses of Butwal Sub-Metropolitan city should consider these aspects to enhance the Academic Performance. By understanding and reformulating policies based on Conscientiousness and Openness to Experience, there is a higher possibility of improving Academic Performance. Keywords: Personality Traits, Academic Performance, Conscientiousness, Openness to Experience, Management Students, PLS-SEM.

Abstract

This study aims to analyze the linkage between digital financial platforms and individual’s investment intention. Specifically, it seeks to examine how various dimensions of digital financial platforms influence the investment intentions of individuals. A quantitative research approach was employed, collecting data from 277 young individuals residing in Butwal Sub-Metropolitan City. Participants were selected using a convenience sampling technique, and data were gathered through a structured questionnaire. The data collected were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) software. Analytical procedures included the assessment of measurement items, evaluation of model fit, Importance-Performance Map Analysis (IPMA), and bootstrapping techniques to test the proposed hypotheses regarding the relationship between digital financial platforms and investment intentions. The analysis revealed that the behavioral influence exerted by digital financial platforms serves as a significant predictor of investment intention among the young generation. This study highlights the importance of behavioral influence and digital literacy in shaping youth investment intentions in semi-urban Nepal. For fintech developers, integrating social features and gamification can boost engagement, while embedding financial education can empower users. Educators should focus on enhancing digital financial literacy, emphasizing both investment knowledge and platform security. Policymakers need to create supportive policies that promote safe, inclusive digital financial services and invest in infrastructure and cybersecurity awareness. Future research should explore additional factors like socioeconomic status and regional differences to deepen understanding of youth investment behavior. Keywords: Digital Financial Platforms, Investment Intention, Behavioral Influence, PLS-SEM, Young Generation.

Abstract

The purpose of the study is to explore the relationship between workplace climate and organizational citizenship behavior of the employees of plastic manufacturing industries. It looks closely at how various aspects of workplace climate, such as organizational support, job satisfaction, and training and development influence the key qualities of OCB, including altruism, conscientiousness, civic virtue, courtesy, and sportsmanship. The study used a quantitative approach, gathering responses from 353 employees working in plastic manufacturing companies in Butwal Industrial Estate through structured questionnaires and a simple random sampling method. The data were examined using statistical tools, including PLS-SEM software, which involved the assessment of measurement items, model fit evaluation, importance-performance map analysis (IPMA), and the implementation of bootstrapping method for hypothesis testing. The results revealed that organizational support of independent variables is the key predictor of courtesy. Likewise, training and development are the key predictors of conscientiousness. Also, job satisfaction is the key predictor of altruism. It concludes that the major influencing factors such as training and development, organizational support along with job Satisfaction plays a key role factor to the organization citizenship behavior. Implementing these contributing factors can lead to a positive outcome for the policymakers as well as the management team of Butwal Industrial Estate. Keywords: Manufacturing Companies, organizational citizenship behavior, workplace climate, Butwal industrial estate, economic development.

Abstract

This study aims to explore the relationship between behavioral factors and investment decision-making. Specifically, it seeks to identify how different dimensions of behavioral factors influence investment decisions. A quantitative approach was adopted, collecting responses from 384 investors in the stock market of Butwal Sub-Metropolitan City through a structured questionnaire, using a simple random sampling method. Data was analyzed using PLS-SEM software, employing various tools such as assessment of measurement items, model fit, IPMA, and bootstrapping techniques for hypothesis testing. The results revealed that market information and a firm's image, as independent variables, are key predictors of the dependent variable. It is evident that these factors are major contributors to the dependent variable. Therefore, stock market management should consider these aspects to enhance investment decision-making. By understanding and reformulating policies based on these factors, there is a greater possibility of improving investment decisions. Keywords: Behavioral Factors, Investment Decision-Making, Stock Market, Market Information, Firm’s Image.

Abstract

This study aims to explore the relationship between financial literacy, credit availability, microfinance programs, digital financial services, and Entrepreneurship intention. Specifically, it seeks to identify how different dimensions of financial inclusion namely financial literacy, credit availability, microfinance programs, and digital financial services influence Entrepreneurship intention among youth. A quantitative research approach was employed, collecting data from 384 youth participants in Butwal Sub-Metropolitan City using a structured questionnaire. Convenience sampling was utilized to select respondents. The data were analyzed using PLS-SEM software, incorporating various techniques such as measurement model assessment, model fit evaluation, Importance-Performance Map Analysis (IPMA), and bootstrapping for hypothesis testing. The results indicate that key dimensions of financial inclusion (digital financial services, financial literacy, and insurance) are significant predictors of Entrepreneurship intention among youth. The findings highlight that digital financial services, financial literacy, and insurance substantially contribute to Entrepreneurship intention among youth. Therefore, stakeholders including local government bodies, financial institutions, and entrepreneurship development centers in Butwal Sub-Metropolitan City should prioritize these factors to foster Entrepreneurship intention. By understanding and revising policies based on these insights, there is a greater potential to enhance youth entrepreneurship in the region. Keywords: Financial Inclusion, Entrepreneurship intention, Digital Financial service, financial literacy, Youth Entrepreneurship.

Abstract

The study aims to analyze the effect of influential factors (need for achievement, locus of control, instrumental readiness, situational factor) on entrepreneurial intentions. It seeks to identify how different dimensions of influential factors influence entrepreneurial intentions. Moreover, the study seeks to examine the mediating role of self-efficacy on the relationship between influential factors and entrepreneurial intentions. The study adopted a quantitative approach, gathering responses from 277 master’s students of Tribhuvan University affiliated campuses in Butwal sub-metropolitan city, Nepal using a structured questionnaire, a convenience sampling method. Data was analyzed using PLS-SEM software with different tools like assessment of measurement items, Model fit, IPMA and implemented bootstrapping technique for hypothesis testing. The results revealed that self-efficacy plays a vital mediating role in the relationship between locus of control and entrepreneurial intention. Likewise, instrumental readiness has a strong direct effect on entrepreneurial intention. It is evident that these factors are the major contributors to the entrepreneurial intention. Therefore, the management of Tribhuvan University affiliated campuses should consider these aspects to enhance the entrepreneurial intention. By understanding and reformulating policies based on these factors, there is a higher possibility of improving entrepreneurial intention. Keywords: Entrepreneurial intention, self-efficacy, locus of control, instrumental readiness, need for achievement and situational Factors.

Abstract

This study aims to explore the relationship between the adoption of college mobile applications and service quality. It seeks to identify how different dimensions of service quality such as tangibility, usability, content quality, responsiveness, enjoyment in technology, and technological control influence the adoption of college mobile applications. The study adopted a quantitative approach, collecting responses from 383 management students from higher education institutions in Butwal Sub-metropolitan City using a structured questionnaire. A simple random sampling method was employed. The data were analyzed using statistical tools, including PLS-SEM software with techniques such as assessment of measurement items, model fit evaluation, Importance-Performance Map Analysis (IPMA) and bootstrapping for hypothesis testing. The results revealed that responsiveness, enjoyment in technology, and content quality are key predictors of the adoption of college mobile applications. These factors are significant contributors to service quality. Therefore, the management of higher education institutions should focus on these aspects to enhance service quality. By understanding and reformulating policies based on these factors, institutions can improve the overall service quality and increase adoption rates of their mobile applications. Keywords: Students' Attitude, College mobile application, Responsiveness, Service quality and Content Quality.

Abstract

This study aims to explore the relationship between Perceived Value, Social and Cultural Aspects, Brand Attributes, Product and Service Attributes, Behavioral Aspects, and Investor Financial Well-being. It seeks to identify how these different dimensions influence Investor Financial Well-being. A quantitative approach was adopted, collecting responses from 316 stock market investors in Rupandehi District using a structured questionnaire and convenience sampling. Data was analyzed using statistical tools, including PLS-SEM software, which involved assessment of measurement items, model fit evaluation, Importance-Performance Map Analysis (IPMA), and bootstrapping techniques for hypothesis testing. The results revealed that Behavioral Aspects, Perceived Value, and Social and Cultural Aspects are key predictors of Investor Financial Well-being. These determinants significantly contribute to Investor financial well-being. Therefore, stock market management should consider these aspects to enhance investor satisfaction and well-being. By understanding and reformulating policies based on these factors, there is a greater potential to improve Investor financial Well-being. Keywords: Investor financial well-being, Perceived value, Behavioral aspect, Social and cultural aspect, Brand attributes, Product and Service attributes.

Abstract

The study aims to explore the relationship between green products, green price, green place, green promotion, and green purchase intention. It seeks to identify how different dimensions of the green marketing mix i.e. green product, green price, green place, and green promotion influence green purchase intention. A quantitative approach was adopted, gathering responses from 384 customers using electric vehicles in Butwal through a structured questionnaire and convenience sampling. Data was analyzed using PLS-SEM software, employing various tools such as assessment of measurement items, model fit, IPMA, and bootstrapping techniques for hypothesis testing. The results revealed that green price and green promotion are the key predictors of green purchase intention among the independent variables. It is evident that green price and green promotion are the major contributors to green purchase intention. Therefore, manufacturers of electric vehicles should focus on these aspects to enhance green purchase intention. By under-standing and reformulating policies based on these factors, there is a greater possibility of improving green purchase intention. Keywords: Green Purchase Intention, Electric Vehicles, Green Marketing Mix, Green Price, Green Promotion.

Abstract

The study aims to explore the relationship between Self-Awareness, Self- Management, Motivation, Empathy, Relationship management and Investor Decision. It seeks to identify how different dimensions of Self-Awareness, Self- Management, Motivation, Empathy, and Relationship management influences Investor Decision. The study adopted a quantitative approach, gathering responses from 300 investors of stock market in Butwal sub-metropolitan city using a structured questionnaire, following a convenience sampling method. Data was analyzed using PLS-SEM software with different tools like assessment of measurement items fits. IPMA and implement bootstrapping techniques for hypotheses testing. The results revealed that Self-Awareness and Empathy are the key predictors of Investor Decision. It is evident that these factors are the major contributors to the Investor Decision. Therefore, the management of Investor of stock market should consider these aspects to enhance the Investor Decision. By understanding and reformulating policies based on these factors, there is a higher possibility of improving Investor Decision. Keywords: Self-Awareness, Self-Management, Motivation, Empathy, Relationship Management, Investor Decision, Stock Market, PLS-SEM, Quantitative Research.

Abstract

The study aims to explore the impact of efficiency, system availability, reliability, fulfilment and privacy/security on e-customer satisfaction. The study adopted a quantitative approach, gathering responses from 275 users of e-commerce platform in Butwal sub-metropolitan city using a structured questionnaire, following a purposive sampling method. Data was analyzed using PLS-SEM software with different tools like assessment of measurement items, model fit, IPMA and implemented bootstrapping technique for hypothesis testing. The results revealed that fulfilment is the key influencing factor in E-Customer Satisfaction. It is evident that these factors are the major contributors to the dependent variable. Therefore, the management of e-commerce organizations should focus on these aspects to increase e-customer satisfaction. By understanding and reformulating policies based on these factors, there is a higher possibility of improving e-customer satisfaction. Keywords: E-Service Quality, E-Customer Satisfaction, E-Commerce, Fulfilment and PLS-SEM.

Abstract

This study seeks to examine the correlation between the quality of mobile banking services and students' attitudes. It aims to ascertain the impact of various dimensions of mobile banking service quality on students' attitudes. A quantitative methodology was employed, gathering responses from 571 management college students in Butwal Sub-Metropolitan City through a structured questionnaire and convenience sampling. The data were analyzed using PLS-SEM software, which included tools like measurement item assessment, model fit evaluation, Importance-Performance Map Analysis (IPMA), and bootstrapping techniques for testing hypotheses. The results revealed that Perceived Usefulness of Mobile banking service quality are the key predictors of Students Attitude. The analysis indicates that perceived usefulness is a major contributor to students' attitudes toward mobile banking. Therefore, researchers and banking institutions should focus on enhancing perceived usefulness to positively influence students' attitudes. By understanding and reformulating policies based on these factors, there is a greater likelihood of improving students' attitudes toward mobile banking services. Keywords: Perceived usefulness, mobile banking, services quality, student’s attitude and consumer engagement.

Abstract

The study aims to explore the relationship between trustworthiness, expertise, attractiveness, respect, similarity, and consumer purchase intention. It seeks to identify how different dimensions of trustworthiness, expertise, attractiveness, respect, and similarity influence consumer purchase intention. The study adopted a quantitative approach, gathering responses from 284 customers of commercial banks in Rupandehi District using a structured questionnaire and employing a convenience sampling method. Data were analyzed using PLS-SEM software with various tools, including the assessment of measurement items, model fit, Importance-Performance Map Analysis (IPMA), and bootstrapping techniques for hypothesis testing. The results revealed that similarity and attractiveness of celebrity endorsements are the key predictors of consumer purchase intention. It is evident that these factors are major contributors to consumer purchase intention. Therefore, the management of commercial banks should consider these aspects to enhance consumer purchase intention. By understanding and reformulating policies based on these factors, there is a higher possibility of improving consumer purchase intention. Keywords: Trustworthiness, Expertise, Attractiveness, Similarity, Consumer purchase intention.

Abstract

This study investigates the relationship between Perceived Risk, Perceived Return, Social Influence, Performance Expectancy, Effort Expectancy, Facilitating Conditions, and Adoption Behaviors among stock market investors. It aims to analyze how these factors individually and collectively influence Adoption Behaviors. Additionally, the research examines the mediating role of Behavioural Intentions and the moderating effect of Habit on the relationships between the independent variables and Adoption Behaviors. Employing a quantitative research design, data were collected from 384 stock market investors in Rupandehi District through a structured questionnaire, using convenience sampling. The data were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The analysis included evaluation of measurement items, model fit assessment, Importance-Performance Map Analysis (IPMA), and bootstrapping techniques for hypothesis testing. The findings indicate that Perceived Risk, Perceived Return, and Performance Expectancy are significant predictors of Adoption Behaviors. These variables demonstrate strong influence in shaping investors’ decisions to adopt stock market-related behaviors. The results underscore the critical role of these factors in driving Adoption Behaviors. Stock market management and policy makers should prioritize these dimensions to foster greater adoption among investors. By tailoring strategies and policies to address Perceived Risk, enhance Perceived Returns, and improve Performance Expectancy, there is substantial potential to boost investor engagement and adoption rates. Keywords: Perceived Risk, Perceived Return, Performance Expectancy, Adoption Behaviors and Behavioural Intentions.