Samsudeen Sabraz Nawaz, Mohamed Buhary Fathima Sanjeetha, Ghadah Al Murshidi, Mohamed Ismail Mohamed Riyath, Fadhilah Bt Mat Yamin and Rusith Mohamed
This study aims to investigate Sri Lankan Government university students’ acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the…
Abstract
Purpose
This study aims to investigate Sri Lankan Government university students’ acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the unified theory of acceptance and use of technology 2 (UTAUT2) model as the primary theoretical lens, this study incorporated personal innovativeness as both a dependent and moderating variable to understand students’ ChatGPT use behaviour.
Design/methodology/approach
This quantitative study used a questionnaire survey to collect data. A total of 500 legitimate undergraduates from 17 government universities in Sri Lanka were selected for this study. Items for the variables were adopted from previously validated instruments. Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4 was used to investigate latent constructs’ relationships. Furthermore, the variables’ relative relevance was ranked using a two-stage artificial neural network analysis with the SPSS 27 application.
Findings
The results of the analysis revealed that eight of the nine proposed hypotheses were confirmed. The most significant determinants of behavioural intention were habit and performance expectancy, closely followed by hedonic motivation and perceived ease of use. Use behaviour was highly influenced by both behavioural intention and personal inventiveness. Though personal innovativeness (PI) was suggested as a moderator, the relationship was not significant.
Research limitations/implications
The research highlights the impact of habit, performance expectancy and perceived ease of use on students’ acceptance of AI applications such as ChatGPT, emphasising the need for efficient implementation techniques, individual variations in technology adoption and continuous support and training to improve students’ proficiency.
Originality/value
This study enhances the comprehension of how undergraduate students adopt ChatGPT in an educational setting. The study emphasises the significance of certain variables in the UTAUT2 model and the importance of PI in influencing the adoption of ChatGPT in educational environments.
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Abdulaziz Ahmad, Weidong Wang, Shi Qiu, Wenjuan Wang, Tian-Yi Wang, Bamaiyi Usman Aliyu, Ying Sun and Abubakar Sadiq Ismail
Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach…
Abstract
Purpose
Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.
Design/methodology/approach
By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.
Findings
The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.
Research limitations/implications
While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.
Originality/value
The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.
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Amjad Ali Rind, Muhammad Mujtaba Asad and Fahad Sherwani
The main purpose of this review was to synthesize pre-service teachers' digital self-efficacy in the context of education 5.0 and to identify the elements that affect pre-service…
Abstract
The main purpose of this review was to synthesize pre-service teachers' digital self-efficacy in the context of education 5.0 and to identify the elements that affect pre-service teacher's digital self-efficacy and preparedness for future technologies. A systematic review approach was employed to analyze the 22 articles about the pre-service teachers' digital self-efficacy of in the paradigm of education 5.0. The review was conducted from 2012 to 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In this study, PICO model was used in framing research questions. The findings of the review revealed that limited study has been carried out in the context of digital self-efficacy in the context of education 5.0. It was found that previous studies were only focusing general digital self-efficacy through traditional ways. Moreover, findings revealed there is lack of research on digital self-efficacy pre-service teachers in the realm of education 5.0 paradigm in the literature. More specifically, the results revealed that implementation of education 5.0 into teacher preparation programmes faces numerous challenges, including a lack of technological approach, poor digital infrastructure, the digital divide, a paucity of professional training opportunities for teachers and a lack of importance in policies. This synthesis of the literature review has practical implications for pre-service teachers along with policymakers. Pre-service teachers are required to increase their digital skills for the reason that they could teach the advanced generation. The policymakers can revisit and update the curriculum to incorporate education 5.0 principles in the teacher education programmes. This comprehensive review helps to better understand the pre-service teachers' digital self-efficacy towards education 5.0 and contributes to the body of existing knowledge on digital self-efficacy. Moreover, this study gives valuable insights on the incorporation of education 5.0.
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Labaran Isiaku and Ahmet Adalier
This study aims to investigate the challenges associated with the integration and implementation of blockchain technology in the education sector. The primary objective is to…
Abstract
Purpose
This study aims to investigate the challenges associated with the integration and implementation of blockchain technology in the education sector. The primary objective is to identify and categorize these challenges using the Technology-Organization-Environment (TOE) framework, shedding light on the technological, organizational and environmental factors that influence the adoption of blockchain solutions in educational settings.
Design/methodology/approach
A comprehensive literature review was conducted across multiple databases including Science Direct, Web of Science, Springer, IEEE Xplore and MDPI. The selected articles were analyzed based on the TOE framework to categorize challenges from the technological, organizational and environmental perspectives. The methodology involves a systematic search, analysis and synthesis of relevant articles to provide an in-depth understanding of the challenges hindering blockchain adoption in education.
Findings
This review revealed a predominant focus on technological challenges, emphasizing scalability issues, integration complexities, security and privacy concerns and data immutability. However, there is a notable research gap in the exploration of organizational and environmental challenges. The scarcity of studies addressing these perspectives may impact acceptance and resistance to blockchain adoption in educational settings.
Originality/value
This study contributes to the literature by systematically categorizing and analyzing the challenges associated with blockchain implementation in education using the TOE framework. It identifies the need for further research on organizational and environmental aspects, addressing a significant gap in the current scholarship on blockchain adoption in educational institutions.
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Fahimeh Dousthosseini, Manijeh Haghighinasab and Pantea Foroudi
In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and…
Abstract
In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and theory of planned behaviour (TPB), the authors offer that the green purchase intention (GPI) is impressed by environmental and personality components. Provide statements about the determinants and key implications of such market identification.
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Mohd Hafiz Hanafiah, Muhammad Aliff Asyraff, Mohd Noor Ismawi Ismail and Juke Sjukriana
The purpose of this study is twofold. The first objective is to identify the factors that affect Gen Z tourists' M-payment behaviour. Next, this study investigates the…
Abstract
Purpose
The purpose of this study is twofold. The first objective is to identify the factors that affect Gen Z tourists' M-payment behaviour. Next, this study investigates the inter-relationship between Gen Z tourist’s perception of M-payment benefits, adoption behaviour, usage risk and future usage intention.
Design/methodology/approach
The sample comprised Malaysian Gen Z individuals (n = 326) who had experience using M-payment methods while travelling outbound. Given the complex nature of the model and the goal to predict and explain relationships within Gen Z's M-payment usage, partial-least square-structural equation modelling was used to assess the study framework and test the proposed relationships.
Findings
This study reveals significant influences on Gen Z tourists' behavioural intentions towards M-payment usage. Perceived benefits, performance expectancy, social influence and perceived trust positively impact behavioural intentions, while effort expectancy exhibits no significant effect. Furthermore, perceived trust is strongly influenced by perceived security, which also positively influences behavioural intentions. A mediated relationship is evident as trust mediating the effect of perceived security on behavioural intentions.
Research limitations/implications
This study’s findings contribute to understanding the intricate relationships influencing Gen Z's M-payment behaviour and underscore trust's pivotal role in mediating the security–behavioural intention relationship.
Originality/value
This study is among the first to consider Mental Accounting Theory and the Unified Theory of Acceptance and Use of Technology as crucial underpinning theories in comprehending the intricate relationships that influence Gen Z travellers' perceptions and behaviours concerning M-payment systems.
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Salman Khan, Safeer Ullah Khan, Ikram Ullah Khan, Sher Zaman Khan and Rafi Ullah Khan
This study aims to explore the consumers’ choices of mobile payments (m-payments) using a comprehensive unified model. The financial technology for digital m-payment has been…
Abstract
Purpose
This study aims to explore the consumers’ choices of mobile payments (m-payments) using a comprehensive unified model. The financial technology for digital m-payment has been increasingly introduced in the market, yet their acceptance has remained low.
Design/methodology/approach
This study uses the unified theory of acceptance and use of technology (UTAUT) with additional constructs of social influence, trust, anxiety, personal innovativeness and grievance redressal (GR). Structural equation modeling is used to evaluate the predictive model of attitudes toward m-payment. Individuals’ responses to questions regarding their attitude and intention to accept m-payment were gathered and examined through the lens of extended UTAUT model.
Findings
While the model supports TAM classical role, empirical examination of the model revealed that users’ attitudes and intentions are influenced by trust, personal innovativeness and social influence. Moreover, intention to use and GR are significant positive predictors of m-payment usage behavior.
Originality/value
M-payment provides customers with new digital payment platforms while providing businesses and marketing agents with more alternatives for online marketing. However, there is not much reported about m-payment adoption in Pakistan. This research introduces and evaluates new constructs that were not included in the original model. In Pakistan, to the best of the authors’ knowledge, this is a first of its kind of research which is purely based on the customers’ perspective of m-payment adoption.
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Heesup Han, Seongseop (Sam) Kim, Tadesse Bekele Hailu, Amr Al-Ansi, Jiyoung Lee and Jinkyung Jenny Kim
This study aims to explore the interplay of cognitive, affective, and normative constituents for their potential acceptance or rejection of artificial intelligence (AI) and…
Abstract
Purpose
This study aims to explore the interplay of cognitive, affective, and normative constituents for their potential acceptance or rejection of artificial intelligence (AI) and ChatGPTs in the hospitality and tourism context.
Design/methodology/approach
Using an advanced analytical approach (i.e. a fuzzy-set qualitative comparative analysis), the study tested hypotheses based on 474 responses from individuals who have used ChatGPT for hospitality and tourism information.
Findings
The study found multiple solutions, including cognitive, affective and normative drivers for strong and weak continuance intentions toward AI-based ChatGPT. Informativeness, one of the cognitive drivers, was found to be a necessary condition for achieving the desired outcome.
Originality/value
This research provides novel insights into the functionality of developing multiple configurations to predict complex travelers behaviors in the context of hospitality and tourism technology consumption.
研究目的
本研究旨在探讨认知、情感和规范成分之间的相互作用, 以及它们在接受或拒绝在酒店和旅游环境中使用人工智能(AI)和 ChatGPT 的潜力。
研究方法
使用先进的分析方法(即模糊集定性比较分析), 本研究基于 474 份使用 ChatGPT 获取酒店和旅游信息的个人的回答, 测试了假设。
研究发现
本研究发现了多个解决方案, 包括认知、情感和规范驱动, 对基于 AI 的 ChatGPT 的强弱持续意图。信息性, 作为认知驱动之一, 被发现是实现期望结果的必要条件。
研究创新
本研究为在酒店和旅游技术消费环境中预测复杂旅行者行为的功能性开发多个配置提供了新颖见解。
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Muhammad Jaffar, Nazir Ahmed Jogezai, Abdul Rais Abdul Latiff, Fozia Ahmed Baloch and Gulab Khan Khilji
The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes.
Abstract
Purpose
The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes.
Design/methodology/approach
In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan.
Findings
The findings revealed that positive attitudes and a sense of perceived behavioral control had a positive impact on teachers' adoption of ChatGPT for instructional purposes. Conversely, subjective norms exhibited a significant negative influence. The results underscore that teachers are inclined to embrace ChatGPT for instructional cause due to their recognition of its educational utility. However, it does not appear that their social environment, which includes their coworkers and managers, has a significant impact on how they decide what to do.
Research limitations/implications
The findings bear implications for devising relevant policies that support AI integration in curricula and assessments and teachers’ professional development (PD) programs. There is a need for formulating guidelines at the universities and the policy tiers to make the ChatGPT use more relevant. Future research should strive to generate insights toward AI use in the areas of curriculum, assessment and teachers’ PD.
Originality/value
The study adds to the relatively new literature on the integration of ChatGPT in higher education. This study’s findings contribute to the body of knowledge related to AI’s pedagogical use and set future directions to consider factors influencing meaningful and responsible use of AI in teaching and learning.
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This study aims to investigate the impact of leader’s religiosity on teachers’ organizational commitment and leaders’ virtuous behaviors. Second, it is intended to examine the…
Abstract
Purpose
This study aims to investigate the impact of leader’s religiosity on teachers’ organizational commitment and leaders’ virtuous behaviors. Second, it is intended to examine the significant influence of Al-Ghazali’s fundamental virtues – wisdom, justice, temperance and courage – on the level of commitment displayed by teachers in K12 schools.
Design/methodology/approach
To analyze this connection, a total of 335 surveys were collected from K12 private schools situated in the Kurdistan Region of Iraq. The data were then evaluated using confirmatory factor analysis and structural equation modeling.
Findings
It has been found that leaders’ virtuous behaviors have significant positive effects on teachers’ commitment. Furthermore, while religiosity did not directly influence teachers’ commitment, the virtuous behaviors of leaders played a significant mediating role in this relationship.
Originality/value
This research fills a gap in the literature by exploring the impact of Islamic ethical principles on employee commitment, specifically within the context of K12 education in the Kurdistan Region of Iraq. It emphasizes the critical role of leaders’ virtuous behaviors in improving employee commitment.