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Blockchain (BC) has recently gained attention from educational organizations as a reliable and trustworthy technology for storing crucial data. This study aims to explore the factors that influence the students’ intention to use BC to host an automated reward system that is based on objective criteria of students’ performance and activities. Predefined smart contracts would guarantee unbiased judgements and fair rewards.

A mixed method approach is used. Based on an iterative rounds of Delphi approach along with a comprehensive literature review, this research proposed an extended Unified Theory of Acceptance and Use of Technology model. The model hypotheses relate performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), perceived innovativeness (PI), trust (TR), perceived security and privacy (S&P), complexity (CX) and enjoyment (EN) to students behavioural intention to use the reward system. The study tests the hypotheses using survey data from 138 students who are familiar with BC technology and its applications. The data analysis is performed using partial least squares-structural equation modelling method.

The analysis revealed that PE, EE, PI, TR and EN positively affect students’ intention to use the BC rewarding system, while CX negatively impacts it. Conversely, FC and, interestingly, S&P, which showed a significant influence on trust, were found to be insignificant in influencing students’ intention to use the system.

This study significantly contributes to the educational technology field by addressing research gaps regarding the adoption and acceptance of BC technology in academia. Firstly, it proposes a basic form of a student reward system. Secondly, it introduces an empirically validated model of students’ adoption, pinpointing factors influencing their readiness to embrace a BC reward system and providing practical implementation insights.

Media has always been used as a key manipulator of public agendas, political beliefs and individuals’ attitudes. The purpose of this study is to investigate the impact of three adaptive media strategies on the pattern and dynamics of potential crowds.

An agent-based approach is used to simulate the three adaptive media strategies on the pattern and dynamics of potential crowds. During the experiments, the media broadcast is intensified to gather momentum for crowd movements or is lessened to maintain the budget.

The results show that a slight change in the media management strategy could lead to a radical different impact on the crowd dynamics. The results also show that a quite smart media strategy could outperform a strategy with an unlimited budget. Finally, the structure of the society shows a significant influence on the crowd dynamics than it could be inferred.

The model presents an explanatory toolkit for the crowd complexity. The results provide deep insights into the crowd formation and a basis for understanding the influence of media and the impact of its strategies on the crowd dynamics.

This paper aims to examine the effect of the auditors’ burnout determinates on audit quality and performance. It also analyses whether the demographic characteristics of gender, age group, education and job positions affect auditors’ decisions for burnout, audit quality and performance.

A questionnaire was distributed on a sample of auditors in the top ten auditing firms in an emerging market including the Big 4. Factor analysis, correlation matrix and structural equation modeling were used for the analysis of the collected data and testing the developed hypotheses.

The results show that burnout has negative consequences for both the auditor and the auditing firm. While good organizational climate has a negative significant association with audit quality, nonethical decisions and audit performance, role clarity has positive significant association with the audit quality and performance and has an insignificant association with nonethical decisions. Also, turnover intention has significant positive association with nonethical decision, audit quality and performance.

This research is among the first to focus on auditor’s burnout determinates on audit quality and performance in an emerging market characterized by different socioeconomic, political and cultural factors compared with those of developed markets. Auditors, regulators and professional policymakers can benefit from the results of this research.

A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the academic community’s desire and intention to use AI conversational chatbot technology, with a particular focus on the leading ChatGPT.

This study uses a mixed method approach to explore the educators’ adoption of chatbots through an empirically validated model. The model, known as the “Educators’ Adoption of ChatGPT”, was developed by integrating the theoretical foundations of both the Unified Theory of Acceptance and Use of Technology and Status Quo Bias (SQB) frameworks, as well as insights gathered from interviews. The relationships within this model were then tested using a quantitative approach. The partial least squares-structural equation modelling method was used to analyse 243 valid survey responses.

The outcomes of the analysis indicated that perceived educators’ effort expectancy, educators’ autonomous motivation, perceived learners’ AI competency, perceived educators’ competency, innovative behaviour towards technological agility and perceived students’ engagement are significant determinants of educators’ intention to use chatbots. In contrast, perceived unfair evaluation of students, perceived students’ overreliance and perceived bias/inaccuracies were shown to have significant impacts on the resistance to use the technology, which typically implies a negatively significant influence on the educators’ use intention. Interestingly, perceived fraudulent use of ChatGPT was proven insignificant on the resistance to use chatbots.

This study makes a significant contribution to the field of educational technology by filling the gap in research on the use and acceptance of AI-enabled assistants in education. It proposes an original, empirically validated model of educator adoption, which identifies the factors that influence educators’ willingness to use chatbots in higher education and offers valuable insights for practical implementation.

The primary purpose of this study is to evaluate the positive influence of human resource management practices (HRMPs) on job satisfaction (JS) and affective commitment (AC).

Data were collected through a self-administrated questionnaire disseminated in 19 resort hotels in Egypt’s Red Sea region. The structural equation modeling results indicate that HRMPs significantly affect JS and AC through mediation effects.

This study highlights the importance of a hotel’s behavior in fulfilling its HRMPs obligations on employee attitudes and behaviors. Effective HRMPs (i.e. recruitment and selection, training and socialization and security) positively influence employee outcomes like JS and AC. JS has a significantly positive relationship with AC and a mediating effect on the link between HRMPs and AC.

These results cannot be generalized to the overall Egyptian hospitality sector context. The survey data are self-reported, so future research should investigate hotel managers and guests through interviews or focus groups.

Effective HRMPs should increase JS and AC. human resource managers should emphasize the critical role of HRMPs in enhancing JS and AC and motivating hotel employees to remain with their hotels. They should also develop a robust framework to improve JS and AC with HRMPs effectively. This study provides a conceptual model for researchers in the HRM literature.

To the best of authors’ knowledge, this is the first study to empirically investigate the impact of HRMPs on JS and AC in the Red Sea region, with significant academic and practical implications. This research is unique in presenting a conceptual model exposing the AC of organizational commitment.

This research examines the impact of logo changes within rebranding strategies, with a focus on the recent logo transformation of Burger King. Redesigns of logos often reflect shifts in brand strategies and consumer preferences. This study aims to evaluate the effects of logo changes on brand loyalty with the mediating role of brand attitude.

This study investigates the influence of Burger King’s logo change on consumer behavior, specifically regarding brand loyalty. The research involves an analysis of the appropriateness and familiarity of the old and new Burger King logos, based on data collected from 468 Egyptian consumers. Statistical analysis is conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the impact of logo changes on consumer loyalty.

The findings indicate that a change in logo can positively affect brand loyalty, particularly when the new logo is perceived as both appropriate and familiar to consumers. Additionally, the study highlights the mediating role of brand attitude, suggesting that favorable brand perceptions enhance the relationship between logo changes and consumer loyalty.

The practical implications of this study highlight key strategies for brand managers involved in rebranding efforts and the associated risks of such processes. Ensuring logo appropriateness and maintaining elements of familiarity are crucial to fostering consumer acceptance and loyalty.

This study highlights the important role of logo change “logo appropriateness and familiarity,” offering a new perspective on how aligning logos with brand identity and retaining familiar elements can enhance consumer acceptance and loyalty with the presence of brand attitude as a mediator in this relationship.

This paper hypothesizes that contemporary Gulf cities are not an evolution of traditional settlements but rather forms of modern cities that emerged during the second half of the 20th century after the discovery of oil, the economic boom following the mid 1970s oil crisis and finally political, economic, technological and communication globalization that swept this region since the beginning of the 21st century. While focusing on the case of Kuwait city, the paper reflects on several examples from the Gulf region cities to discuss their development as hybrid forms of modern cities. The paper adopts the theoretical framework proposed by Appadurai in 1996 to understand the flow of modernity through the Gulf cities' scapes. This theoretical framework provides an adequate understanding of Gulf cities evolution and modifications required to make them more adequate to the Gulf region conditions.

This study aims to provide the intellectual structure of the academic literature on board characteristics and corporate social responsibility disclosure (CSRD) and corporate social responsibility performance (CSRP). To do that, the authors analyse the main theories, data sources and methodologies used by researchers, providing information on methodological bias and research gaps. Beyond that, this study offers a novel picture of the most critical drivers of CSRP/CSRD and offer constructive suggestions to guide future research.

A content analysis was performed on 242 articles extracted from the Web of Science database from 1992 to 2019.

Results indicate that board characteristics have a significant and increasing impact on corporate social responsibility (CSR) literature. The results also revealed that the board practices play a crucial role in managing CSRP/CSRD-related issues. The study also identifies the effect of the critical board characteristics on CSRP, CSRD quantity and CSRD quality. Furthermore, the study findings provide an overarching picture of the patterns and trends of the systematic nexus between board characteristics and CSRP/CSRD quality and quantity.

The study findings help provide an overarching picture of the systematic nexus patterns and trends between board characteristics and CSRP/CSRD quality and quantity. These results draw potential future avenues to bridge the void in the current board–CSR literature by presenting fruitful and indispensable directions for future research (governance mechanisms, new methodologies, variables, countries, etc.). It also suggests multidimensional and in-depth insights for reforming the board of directors’ guidelines.

To the best of the authors’ knowledge, minimal attention has been paid to systematising the literature on board and CSR.

To investigate the mechanical properties of geopolymer concrete at elevated temperatures.

The investigation involved studying the influence of partially replacing fly ash with ground granulated blast furnace slag (GGBS) at different proportions (5%, 10%, 15%, 20% and 25%) on the composition of the geopolymer. This approach aimed to examine how the addition of GGBS impacts the properties of the geopolymer material. The chemical NaOH was purchased from the local supplier of Jamshedpur. The alkali solution was prepared with a concentration of 12 M NaOH to produce the concrete. After several trials, the alkaline-to-binder ratio was determined to be 0.43.

The compressive strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 35.42 MPa, 41.26 MPa, 44.79 MPa, 50.51 MPa and 46.33 MPa, respectively. The flexural strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 5.31 MPa, 5.64 MPa, 6.12 MPa, 7.15 MPa and 6.48 MPa, respectively. The split tensile strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 2.82 MPa, 2.95 MPa, 3.14 MPa, 3.52 MPa and 3.31 MPa, respectively.

This approach allows for the examination of how the addition of GGBS affects the properties of the geopolymer material. Four different temperature levels were chosen for analysis: 100 °C, 300 °C, 500 °C and 700 °C. By subjecting the geopolymer samples to these elevated temperatures, the study aimed to observe any changes in their mechanical.

The purpose of this paper is twofold. First, it aims to investigate the dynamic impact of board composition (board size, board independence and board diversity) on independent corporate social responsibility (CSR) practices (marketplace, environment, community and workplace). Second, it tends to examine the mutual effect of board composition and CSR practices on organizational returns (return on assets and Tobin’s Q) of 631 Malaysian PLCs listed on Bursa Malaysia during 2006-2017.

The dynamic model (system GMM) provided by Arellano and Bond (1991) and Arellano and Bover (1995) is used for estimations that control for potential dynamic endogeneity, reverse causality, unobserved heterogeneity and simultaneity problems.

Findings reveal weak linkage between board composition and CSR practices where only board diversity is found to be positively linked to marketplace practices of CSR. Further, the mutual impact of board composition and CSR practices on organizational returns suggests board size be positive and board independence to be negative with Tobin’s Q. Board diversity is negative with ROA and positive with Tobin’s Q. Conversely, CSR practices indicate marketplace practices are positive and community practices are negative with Tobin’s Q, environment practices are insignificant with performance, whereas workplace practices are positive with ROA and negative with Tobin’s Q.

This research is practically considerable for Bursa Malaysia, Securities Commission Malaysia, policymakers, stakeholders, investors and managers. For academia, the theoretical linkages between agency theory, resource dependence theory, resource-based view and stakeholder theory are highlighted. Moreover, methodological underpinnings are also novel for academicians as well as for practitioners.

The paper uncovers multiple aspects: first, it elaborates the dynamic relationship between board composition and CSR practices; second, it examines the combined effect of board composition and CSR practices on company’s accounting and market gains; finally, the study controls for dynamic endogeneity that is the main econometric problem for CG-CSR-performance relationships.