Search results

This study aims to assess the effects of green supply chain management (GSCM) strategies on health-care organizations’ environmental performance (EP). It also assesses that green innovation (GI), including green technology innovation (GTI) and green management innovation (GMI), plays mediating roles in the connection between GSCM and EP.

In total, 375 health-care sector employees in the Chattogram division of Bangladesh provided opinions in the questionnaire survey. PLS-SEM was used to verify the data’s validity and reliability and assess the hypotheses.

The findings reveal that GSCM practices significantly positively impact GI and EP. Moreover, GTI and GMI mediate the relationship between GSCM and EP in Bangladesh’s health-care sector.

The current findings could promote environmental sustainability in Bangladesh’s health-care industry by fostering environmental collaboration.

The detection of the mediation effect of GTI and GMI on GSCM and EP is a unique contribution of this study that enriches the present GSCM and GI literature, particularly in the Bangladeshi health-care sector.

Drawing on the co-creation literature and self-determination theory, this study takes a broader organisational perspective linking employees’ motivational antecedents (corporate brand socialization, employee brand identification and impression management) and employee-based brand co-creation (EBBC), with three employee-level outcomes: sales performance, employee resilience and adaptive selling. We therefore bridge the complex nexus between employees and organisational performance.

Survey data of 313 employees across industries and different-sized business-to-business (B2B) companies in China were collected. We used AMOS 21 to carry out structural equation modelling (SEM) for testing the main hypotheses.

The results reveal that EBBC is driven by external, internal and self-related motivations and leads to an increase in the three employee performance-related outcomes. The results further indicate that employees’ social media usage exerts contrasting moderating effects for each of the three motivational antecedents: While it strengthens the effect of employee identification on EBBC, it weakens the effect of corporate brand socialization on EBBC and exerts no effect on the relationship between impression management and EBBC.

This study confirms the effectiveness of EBBC in improving performance outcomes for B2B employees, particularly sales performance, resilience and job satisfaction, all of which are crucial for employee success. On the basis of our findings, in terms of employee satisfaction and performance, and in addition to conventional strategies and incentives, B2B organisations should encourage employee co-creation activities as outlined above, since such activities tend to impact these outcomes positively.

This study features and substantiates the self-related goal initiatives in EBBC, such as developing a sense of self-promotion desires and uncovers a moderator of the relationships between motivational antecedents and EBBC. These findings highlight the managerial relevance of specific motivational and psychological pathways in building employee brand co-creation behaviours, employee outcomes and organisational performance via employee sales.

The objective of this study is to examine the moderating effect of microfinance on the digital divide in developing countries.

On the methodology, the econometric method employed to estimate the equation is based on the two-stage least squares (2SLS).

This study confirms that microfinance can play an important role in mitigating the adverse effect of digitalization on poverty.

Thus, governments should prioritize and encourage the integration of digital technologies with robust microfinance systems to effectively combat poverty, given the importance of microfinance.

Given the importance of digital technology to businesses and economic development, we need to search for a better solution that allows digital technology to be further developed but at the same time, is not harmful to the poor. The issue of the poor, either financially or technically can be partially resolved if the poor is given the necessary and sufficient assistance. Therefore, this paper examines whether microfinance can be part of solutions to the digital divide in developing countries.

The ever-evolving landscape of financial technology (Fintech) has revolutionised payment methods and raised questions about what drives user behaviour in adopting these innovative solutions. This study, using narrative transportation theory as an underpinning theory, aims to investigate into the dynamics of green user behaviour in adopting Fintech payments.

This study used a deductive approach, and with data obtained from 635 respondents through the purposive sampling technique, partial least squares structural equation modelling was employed to yield significant insights.

The study found a positive association between green brand positioning and product differentiation. However, it unexpectedly didn't impact user attitudes towards Fintech payments. Green brand image and perceived performance positively influenced product differentiation. Perceived product differentiation fully mediated the association between green brand positioning and user attitudes. The study introduced fear of missing out's (FOMO) moderating role, enriching eco-conscious marketing insights and user behaviour understanding.

This study reveals crucial implications for marketers, policymakers and user experience (UX) designers operating within the Fintech industry. It emphasises green brand positioning's impact on product differentiation, user attitudes and its mediating role. It advocates for sustainability integration, innovation, strategic messaging and user-centric improvements to optimise user perceptions and competitiveness in the evolving Fintech landscape. The study's cross-sectional design may limit the ability to establish causal relationships over time and overlook temporal changes in green Fintech adoption dynamics; thus, longitudinal studies are warranted to better understand the evolving nature of user attitudes and behaviours towards green Fintech payments.

This study adds novelty to the existing body of literature by introducing the dimension of innovation appeal to green brand positioning and employing narrative transportation theory in the Fintech realm. The findings also add novelty by highlighting the moderating impact of fear of missing out in predicting the association between green brand positioning and product differentiation in the realm of green Fintech and green use behaviour.

This study explores the pivotal role of artificial intelligence (AI) in revolutionizing knowledge organization within Nigerian libraries. The purpose of this study is to assess the challenges faced by these libraries, propose strategic approaches for successful AI integration and highlight the potential benefits and future directions of this transformative journey.

This study uses a comprehensive review of existing literature, case studies and a qualitative analysis of challenges faced by Nigerian libraries. Strategies for AI integration are proposed based on targeted capacity building, collaborative partnerships and phased implementation approaches. The methodology also involves assessing the current landscape of AI in Nigerian academic libraries, examining applications and exploring the perceived impacts of AI on library services.

Nigerian libraries face challenges such as limited resources, outdated systems and diverse information that hinder traditional knowledge organization methods. The integration of AI offers dynamic solutions, streamlining administrative tasks, optimizing search algorithms and enhancing user engagement. The findings of this study emphasize the potential benefits of AI, including improved accessibility, searchability and long-term efficiency gains in library collections.

This research contributes to the existing literature by providing insights into the specific challenges faced by Nigerian libraries and proposing practical strategies for AI integration. This study emphasizes the transformative potential of AI in addressing immediate challenges and unlocking enduring benefits. The originality lies in the context-specific exploration of AI in Nigerian libraries, offering a roadmap for stakeholders to embrace technological advancements and position libraries as leaders in providing innovative knowledge services.

This study examined the role of artificial intelligence (AI) tools in facilitating the accessibility and usability of electronic resources (e-resources) in academic libraries.

This study employed a quantitative descriptive survey to collect data from library users. The population targeted was sampled using a purposive sampling technique. A total of 427 (58%) participated in this study.

Most respondents preferred electronic journals (e-journals) among the e-resources stored in academic libraries. Chatbots were identified as preferred AI tools for accessing and enhancing the usability of these resources. Strategies mentioned included the potential for integrating AI tools across various e-resources. However, among the challenges reported was the inability to integrate AI tools with the existing library management systems. Improving e-resource discovery and access can significantly enhance the effectiveness of AI tools in academic libraries.

Originality in the context of AI applications in academic libraries refers to the unique approaches, innovative tools and creative solutions that enhance the accessibility and usability of electronic resources. By focusing on unique solutions that enhance the accessibility and usability of e-resources, these libraries can better serve their diverse user populations and adapt to the evolving landscape of information needs.

The study explores new aspects of financial investment management with technological involvement, providing detailed knowledge for future research. It identifies gaps in the literature and summarizes key research topics, utilizing a precise data collection framework.

The study is structured using systematic and bibliometric analysis with the antecedents, decisions, outcome-theories, context, and methods (ADO-TCM) framework. Data from Scopus and Web of Science were filtered based on Q1, Q2, social sciences citation index (SSCI) and Australian Business Deans Council (ABDC) criteria, resulting in 128 articles majorly emphasizing the last ten years. The “R” package facilitated bibliometric analysis, starting with data cleaning and import into Biblioshiny for effective results interpretation.

The study found that artificial intelligence detects and mitigates biases in investment decisions through rigorous pattern analysis, including social and ethical biases. The ADO-TCM framework revealed emerging theories, such as robo-advisory theory, offering new directions in behavioral finance for researchers and practitioners. The top authors and articles highlighted existing work in financial management.

The study’s originality is highlighted by its use of unique frameworks for data collection (SPAR-4-SLR) and interpretation (ADO-TCM).