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Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

Green financial technology (FinTech) has received attention for promoting green finance investment and sustainable development. However, how consumer social responsibility and long-term orientation influence the continuance intention of green FinTech users remains unknown in the literature. To fill this gap, consumer social responsibility and long-term orientation are combined with the unified theory of acceptance and use of technology to develop a research model to investigate their moderating effects on the continuance intention of green FinTech users.

A random probability sampling method was adopted, and 377 valid responses were collected to verify the proposed model. Partial least squares structural equation modeling was employed for the data analysis.

Performance expectancy, effort expectancy, social influence and facilitating conditions have significant positive impacts on the continuance intentions of green FinTech users. Surprisingly, consumer social responsibility enhances the effects of performance expectancy and social influence on continuance intention but negatively moderates the effect of facilitating conditions on continuance intention. Moreover, a long-term orientation can increase the impact of facilitating conditions on continuance intention but decrease the impact of performance expectancy on continuance intention.

This paper proposes a research model that reveals how consumer social responsibility and long-term orientation moderate the relationship between the unified theory of acceptance and use of technology (UTAUT) and the continuance intention of green FinTech users to fill a gap in the literature.

The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and service quality individually, jointly, congruently, and incongruently affect higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention.

We employed a sophisticated methodology - polynomial regression with response surface analysis - and conducted our study with a sample of 468 higher education students selected in Vietnam using a three-phase stratified random sampling approach to evaluate the hypotheses developed.

The findings indicate that both information and service quality influence higher education students’ trust directly and positively in ChatGPT, satisfaction, and continuance usage intention. Moreover, a balance between information quality and service quality can increase students’ level of trust in ChatGPT, satisfaction, and intention to continue using it. Nevertheless, a significant incongruity between information quality and service quality will likely reduce trust in ChatGPT, satisfaction, and the intention to continue using the service.

This research is one of the first to offer a shred of empirical evidence about how information quality and service quality interact congruently and incongruently with each other to trigger higher education students’ trust in ChatGPT, satisfaction, and continuance usage intention of ChatGPT. It thus offers valuable insights for leveraging the benefits and mitigating potential challenges associated with adopting this innovative technology in educational settings.

This research investigation aims to explore the factors that affect purchasing behaviour among consumers in India in the context of green electronic products with the aid of the extended theory of planned behaviour (TPB) by incorporating two additional constructs, namely environmental concern and ethical obligation.

The current research adopted a quantitative methodology, utilising a survey (questionnaire) to gather data from respondents residing in Delhi-NCR, India. A convenience sampling technique was used to select these respondents. Both online and offline modes were used to collect the data. Moreover, to evaluate the theoretical foundation of the investigation, the researchers employed PLS-SEM (partial least square structural equation modelling) on 346 useable samples.

The outcome reveals that attitude, subjective norm and perceived behaviour control (PBC) are significant predictors, supplementary constructs such as environmental concern are not significant predictors, whereas ethical obligation is a substantial predictor of purchase intention. Consumer purchase behaviour, in turn, is influenced by consumer purchase intention.

The outcome of this research could help the country’s legislators formulate policies and programs related to current environmental problems faced by our planet. Marketers could understand the factors that drive consumers' purchasing behaviour towards green electronic products and design effective marketing strategies accordingly. Thus, by enhancing the company’s green image, marketers of green products may potentially increase future purchases, all of which contribute to solving worldwide environmental problems.

This research confirms the usefulness of TPB in understanding Indian consumers' purchasing intention and behaviour towards green electronic products. It further extends the TPB by showing that new components, environmental concerns and ethical obligations influence Indian consumers' purchasing intentions and behaviour. Moreover, prior studies mostly used both additional constructs for green products. Current research used specific types of green products, i.e. green electronic products, as very few studies are available on these products that apply TPB, which makes this study novel. In contrast to previous research that primarily examined purchase intention, this study takes a further step by investigating the connection between intentions and consumers' purchase behaviour. It establishes intention as a precursor to behaviour, specifically towards green electronic products. Additionally, this study introduces new constructs and explores the Indian context, significantly contributing to the existing literature.

This paper investigates the mediating role of employee awareness of artificial intelligence (AI) in the relationship between technological turbulence and knowledge hiding, with a focus on the moderating impact of change leadership.

The survey study adopted a quantitative approach to propose and test a model based on predictors of knowledge hidings. The survey approach received 320 respondent firms in the hotel management sector. The structural and measurement model was calculated using SmartPLS.

Employee AI awareness mediates the relationship between technological turbulence and knowledge hiding. Change leadership significantly moderates this relationship, reducing knowledge hiding by promoting innovative discussions and collaboration. High employee AI awareness can lead to knowledge hiding due to perceived threats to job security, but effective leadership mitigates this by fostering a collaborative environment.

The study highlights the importance of effective leadership in reducing knowledge hiding and emphasizes the need for a collaborative environment where employees view external partnerships as opportunities for learning and acquiring AI knowledge.

This study aims to examine the influence of digital financial literacy (DFL) on the financial well-being (FWB) of students in Andhra Pradesh, specifically exploring the factors of impulsivity and self-control. Both DFL and FWB are treated as multi-dimensional constructs in the study. The research delves into the impact of DFL dimensions, viz. digital financial knowledge, digital financial experience and digital financial skills, on both impulsivity and self-control. Subsequently, the study assesses the effects of impulsivity and self-control on financial well-being.

To gather data, a questionnaire-based survey method was employed, reaching 475 university students through purposive sampling. The study utilizes confirmatory factor analysis for scale validation and structural equation modeling for hypothesis testing.

The results reveal a significantly negative influence of digital financial knowledge (DFK), digital financial experience (DFE) and digital financial skills (DFS) on impulsivity, while demonstrating a significantly positive impact on self-control. Additionally, the study finds that impulsivity negatively affects financial well-being, whereas self-control has a positive impact. Focusing on higher education institutions in Andhra Pradesh, the research highlights students’ limited concern for long-term financial planning.

This study underscores the relevance of understanding the crucial role of digital financial literacy in enhancing their financial well-being. The implications of these research findings are substantial and can be utilized to shape educational programs for students in higher education institutions. Such programs can guide institutions in imparting knowledge and skills related to personal finance management, particularly in the context of the increasing digitalization of financial transactions.

The present study seeks to examine the impact of ethical leadership on employees’ voice behavior and internal whistleblowing in organizations. Specifically, the study investigates the mediating role of moral emotions in the link between ethical leadership and employees’ reporting behaviors such as voice behavior and internal whistleblowing.

This research utilized a sample of 200 employees from various private companies in Pakistan, gathering data via questionnaires to validate the hypotheses. We employed Structural Equation Modeling (SEM) to evaluate the model and conducted a mediation analysis using 5,000 bootstrap samples.

This research found that ethical leadership positively impacts employees' moral emotions, encouraging them to voice concerns and report misdeeds. Additionally, the study affirms a direct and positive connection between ethical leadership and employees' reporting behaviors, including voice behavior and internal whistleblowing.

The findings of the study emphasized the development of ethical leadership in organizations by highlighting the critical role of ethical leadership in enhancing moral emotions, voice behavior, and whistleblowing in organizations. It highlights the necessity of promoting moral behavior to enhance organizational effectiveness and the need for ethical leaders to foster an open environment in organizations that encourages whistle bellowing and reporting of unethical practices in organizations.

The current paper extends knowledge of ethical leadership based on the social cognitive theory of morality by considering that moral emotions serve as a strong motivational cognition between ethical leadership and reporting behaviors. Particularly, by examining the mediating role of moral emotion, this study provides a deeper understanding of the underlying mechanism through which ethical leadership influences reporting behaviors of employees at workplace.

The purpose of this paper is to elucidate the performance discrepancies between shariah-compliant and non-shariah-compliant exchange-traded funds (ETFs), aiming to enrich the academic and practical understanding of Islamic finance‘s nuances in the ETF sector.

Initiating with a broad literature review to cement a theoretical backdrop on Islamic investment principles and the mechanics of shariah-compliant ETFs, the research progresses to devise a comparative analytical framework. This framework focuses on assessing ETF performance through metrics like net asset value returns and volatility, specifically analyzing Blackrock ETFs to draw distinctions in portfolio outcomes and asset compositions.

The examination highlights discernible variances in portfolio performance between shariah-compliant and their conventional counterparts, presenting instances where shariah-compliant ETFs, such as ISUS from Blackrock, deliver competitive returns despite their generally lower net assets compared to conventional ETFs like VUSA from Vanguard. Moreover, the ISUS ETF‘s holdings investigation revealed discrepancies with AAOIFI standards, questioning its strict Shariah compliance and adding depth to the analysis of Islamic financial instruments‘ integrity.

This paper significantly advances the scholarly dialogue on Islamic financial practices within the ETF landscape, providing empirical evidence of performance differentials and compliance intricacies. While prior research has touched upon Islamic investing, this study pioneers a detailed comparative scrutiny, equipped with a novel methodological approach, to dissect the shariah-compliant ETFs‘ operational and ethical frameworks, offering invaluable insights for investors, financial analysts and Islamic finance scholars.

In response to the prevalent significance of combating climate change, government agencies are required to achieve the critical goals of protecting natural resources, fostering long-term growth and promoting environmental sustainability. On this account, this study aims to investigate the moderating effect of knowledge sharing on the relationship between transformational leadership style and environmental sustainability.

To ensure the accuracy of the outcome, the study was designed using the resource-based view approach, comprising a sample of 276 employees across various United Arab Emirates (UAE) ministries, administering a validated questionnaire. The non-parametric software (i.e. Smart PLS 4) was used to analyse the data.

The findings indicated that three dimensions of transformational leadership style, idealised influence, individualised consideration and intellectual stimulation, were significantly related to environmental sustainability. Inspirational motivation, however, did not predict environmental sustainability.

In terms of value, the novelty of this study is the theoretical foundations that it provides for future research on the role of knowledge sharing that can affect transformational leadership and environmental sustainability among the ministries in the UAE. This study also sets a benchmark for these ministries and other public sectors’ strategic decision-making process of increasing knowledge sharing through a transformational leadership style.

Green innovation (GI) in megaprojects has become a significant research topic that attracts both megaproject management scholars' and practitioners' attention. Green transformational leadership (GTL) is acknowledged as an important antecedent to GI in the permanent context. However, limited research investigates the mechanism and condition of how GTL effectively affects GI in the temporary (i.e. megaproject) context. This study seeks to examine the mechanism and condition of GTL in improving GI by assessing the mediating role of green knowledge sharing (GKS) and the moderating effect of innovation climate (IC).

Regression analysis was performed on data obtained from 303 experts who have been involved in megaprojects.

GTL has a significant positive impact on two aspects of GI, including green product innovation (GPDI) and green process innovation (GPCI). Besides, GKS mediates the relationship between GTL and the two aspects of GI. Moreover, IC plays a significantly positive moderating role in the relationship between GTL and GKS and the relationship between GKS and the two aspects of GI.

This study adds knowledge to the theory and practice by unveiling the “black box” between GTL and GI in the temporary (i.e. megaproject) context. First, this study extends the continuing discussion on the direct effect of GTL on GI to the temporary (i.e. megaproject) context. Second, this study facilitates the understanding of the mechanism to generate better GI performance considering the mediating role of GKS and the moderating effect of IC in the temporary (i.e. megaproject) context. The results can illuminate megaproject practitioners on generating better GI performance.