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Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers.  To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.

Ready-made garments (RMG) are one of the most critical sectors in the economy of the South Asian region in terms of the labor force employed and export earnings. This research study aims to determine the Corporate Social Responsibility Stakeholders dimension and its influence on textile firms Performance. The study used organizational legitimacy as mediating variable between the CSR stakeholders and firms’ performances. The research study was used in the quantitative analysis approach to determine the cause and effect of the relationship between CSR and Textile firm’s financial and non-financial performance. Though the study collected primary data & secondary data from 250 respondents using survey questionnaires, the researcher obtained secondary data by analyzing the audited annual and sustainability reports of various RMG companies. We have collected data by conducting a focus group interview forming a team of employers, top-level managers, and CSR officers. We asked them all the questions, filled it, tapped it, reserved it for the interpretations. We have surveyed 67 industries, but it enabled us to collect the data from the 50 sectors—the data collected from 2016 April to 2018 December. Our study has some limitations in that the sample size is small compared to the other research. SPSS-23 & MS-Excel were used to analyze the collected data. CSR practices benefitted RMG companies in terms of long-term sustainable development by increasing the firm’s financial and non-financial performance of the RMG sector.

In this paper, we investigate the definition of Fintech and measure the extent of the impact of Fintech variables on the Cybersecurity as the dependent variable. The hypotheses developed by the authors which are based on research through the statistical results of the research variables and as all correlation coefficients were a positive relationship and at the level of significance 0.01 which made the authors accept the correlation hypotheses, and for the results of the influence factor between the research variables it also had a positive effect when the level of 0.05 for all sections of the independent variable, as we have also noticed that the influence of the independent variable of financial technology when linked to all of its sections with Cybersecurity. We find the influence of the influence coefficient significantly increased to 0.908, which explains that there is a complementarity between the sections of the independent variable.

Whether investors take into account a company's environmental, social, and governance (ESG) issues when making investment decisions (ID), how they interpret corporate reputation (CR) as a result of ESG issues, and whether CR mediates the relationship between ESG issues and ID are the goals of this study. The theory of planned behavior (TPB) and the signaling theory are the bases of the framework. The study was based on a questionnaire survey that received 599 responses from active retail investors in two Bangladeshi cities, Dhaka and Chattagram. The PLS path modeling method was used to analyze the data and test the hypothesis. The empirical findings reveal that corporate ESG issues considerably impact ID and that CR mediates this relationship. This study contributes to behavioral finance by offering empirical proof of the relationship between company ESG issues and investment decisions. By examining the indirect effects of ESG issues on ID via CR, this study contributes to the body of knowledge. It is therefore advised that strategic managers be required to use ESG practices as it builds reputation. At the same time, the government should create public policies, orders, and rules for upholding the ESG issues that contribute to the sustainable development of the capital market and the economy.

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare.

The research aims to explore the impact of digital platform integration and reconstruction capabilities on organizational agility (mediator) and ESG performance of small and medium size enterprises of Pakistan. The study also examines the moderating role of technology uncertainty between digital platform capabilities and organizational agility that further leads to ESG performance. Data is collected from 300 firms while industries include; IT, Manufacturing, Textiles, Electronics, and Automobile in eight big cities of Pakistan and the respondents are middle and senior managers. Data was analyzed using the software; SPSS (reliability analysis) and R Studio (version 4.5.2), Structural Equation modeling (SEM) and regression Analysis. The study used Resource-Based View and Dynamic Capability Theory to see the role of digital platform capabilities, organization agility and uncertain technology conditions’ on ESG. The findings of this research are that such organizations with agility perform better on the ESG dimensions. First, this study takes a capability perspective to explore the impact of digital platform integration and reconstruction capability on Organizational agility, which extends the related studies taking digital perspective. Second, the inner mechanism between organizational agility and firm ESG performance is revealed where organizational agility works as a bridge for ESG performance. Third, the relationship between digital platform capabilities and organizational agility is exposed by the moderation of technology uncertainty. Where technology uncertainty positively moderates the relationship between digital platform capabilities and organizational agility.

Purpose of this research is to examine the relationship between organizational agility (OA) and the Environmental, Social, and Governance (ESG) performance of firms. Specifically, it seeks to understand the organizational agility and agility in various industries of Pakistani firms including some control variables e.g. firm size, firm age, industry and city. Data is collected from 300 firms of Pakistan and the respondents are middle and senior managers. R studio is used to analyze data (version 4.5.2). The analysis techniques include; descriptive statistical, correlation, reliability, validity, Common Method Variance (CMV), Structural Equation modeling (SEM) and regression (including control variables). Data is collected from the industries of IT, Manufacturing, Textiles, Electronics, and Automobile, in eight cities of Pakistan. Results show that there exists a positive relationship between organizational agility and firm ESG Performance. This study contributes to the literature by the importance of organizational agility as a dynamic capability in achieving ESG goals, providing new directions for future research and practical recommendations for policymakers and industry leaders.

This paper aims to evaluate how the type of streamer (human vs. AI) influences consumer desire in live-streaming commerce through socio-cognitive and motivational mechanisms. Building on the CASA framework, Self-Determination Theory (SDT), and the Model of Goal-Directed Behavior (MGB), this study examines whether human and AI streamers differentially generate perceived empathy, which then activates intrinsic and extrinsic motivations leading to consumer desire. This paper also aims to test whether personal involvement and skepticism moderate the empathy–motivation pathway. A between-subjects experimental design was used to randomly assign participants to view identical livestreaming scripts presented by either a human or a humanoid AI streamer. Data from all 277 Chinese livestreaming participants were analyzed using PLS-SEM. The key findings show that (i) perceived empathy is significantly higher for human streamers than AI streamers, (ii) perceived empathy significantly boosts intrinsic motivation and consumer desire, with a smaller effect on extrinsic motivation, and (iii) intrinsic motivation, but not extrinsic motivation, is a significant predictor of consumer desire. Additionally, personal involvement strengthens the link between empathy and intrinsic motivation, while skepticism weakens the motivational pathways—especially in AI-based interactions. This research reveals that empathy is the main psychological link between streamer identity and consumer desire, and that intrinsic motivation is the dominant mechanism driving consumer engagement in live commerce, grounded in warmth and relatedness. The findings also indicate that emotional authenticity and the fulfillment of psychological needs remain crucial determinants of consumer desire, even in AI-mediated retail. Practical implications include enhancing empathetic communication and balancing the use of human and AI streamers in digital commerce.

Youth student organizations, particularly Student Union Branches, play a vital role in ideological development and talent cultivation within Chinese higher education. Operating within a unique socio-educational context, these organizations must navigate the complex challenge of enhancing organizational effectiveness while ensuring ideological alignment. This study adopts a mixed-methods approach, combining surveys of 127 student cadres with in-depth case studies of 6 Student Union Branches, to investigate how sophisticated mechanisms for understanding, predicting, and managing individual thoughts and behaviors can improve organizational outcomes. The research proposes an integrated U-P-M (Understanding-Prediction-Management) framework. This includes a multi-layered understanding mechanism based on dynamic monitoring, dialogue, and data insight; a prediction mechanism utilizing intelligent forecasting and proactive intervention; and a management mechanism combining value guidance, organizational optimization, and environmental shaping. Quantitative results show that Student Union Branches implementing the systematic U-P-M framework achieved significant gains: a 28% increase in organizational belonging, a 35% rise in activity participation, and a 42% improvement in task execution efficiency. Qualitative findings further reveal contextual implementation challenges and success factors. This study contributes an evidence-based theoretical framework and reproducible pathways for enhancing youth student organization effectiveness within China's specific educational environment. It highlights the delicate balance between organizational autonomy and ideological conformity, offering valuable insights for educational administrators and student affairs professionals seeking to foster high-quality organizational development.

This study investigates the factors influencing investment decision-making within South Africa's financial markets, focusing on psychological, demographic, and external market elements. Drawing from Prospect Theory, the research reveals a deviation from traditional behavioral assumptions, highlighting that external market dynamics, rather than individual risk perceptions or demographic traits, predominantly guide investor behavior. Using a quantitative cross-sectional design, data were collected through structured questionnaires from 120 randomly selected South African investors aged 18 and older with market experience. Structural equation modelling assessed factors influencing risk perception and subsequently, investment behavior. The findings demonstrate that market-related variables significantly influence risk perception (? = 0.653, p < 0.001) and decision-making, aligning with the Efficient Market Hypothesis. In contrast to Prospect Theory's expectations, risk perception had no significant direct effect on investment choices (? = -0.009, p = 0.933). Cognitive biases and emotional influences exerted a moderate impact, while demographic characteristics, including gender, education, and experience, showed minimal influence on investment decisions, suggesting that practical market experience outweighs formal training. With robust construct validation (CR = 0.711 to 0.951), the study enhances the reliability and credibility of the findings. It highlights global regulatory frameworks as crucial for investor confidence. These results contribute to behavioral finance literature and support practical implications for policy, market transparency, and investor education. Future research should consider diverse populations and qualitative investors' perspectives.