Performance Expectancy Research Articles

Contactless Service: Artificial Intelligence Applications of Airports

Airports are an essential part of the airline value chains. Artificial intelligence (AI) technologies are widely used at airports; they utilize two technologies: face detection and recognition. The study examines how passengers' performance expectancy and emotions affect satisfaction and willingness to adopt the AI service of passengers via familiarity. Based on the AI device, it uses acceptance and socio-technical systems perspectives; participants who adopted the AI service in airports in Beijing, Taipei, and Singapore who have the potential to use AI service usage experience more than three times; 387 completed questionnaires. A satisfaction model was analyzed using the partial least squares approach; this study used purposed sampling to collect data based on the passenger volume analysis by those airports, and 387 completed questionnaires were analyzed. With the rise of AI innovation services in airports, passengers can quickly complete boarding procedures through AI innovative services. The research findings point out that passengers' performance expectancy and emotions positively affect familiarity with AI services for passengers. AI innovations provide a service change driver for and have the potential to replace human tasks and intelligence and analytics applications at airports. AI services are a powerful tool for airports to serve their passengers efficiently, and airports will collaborate with airlines to serve passengers with AI.

Niat Melakukan Islamic Online Donation Pada Generasi Z: Peran Attitude Sebagai Mediator Pada Model UTAUT-3

Purpose: This study aims to examine the effect of the UTAUT-3 model, namely performance expectancy, habit, and personal innovativeness on the intention to make Islamic online donations mediated by attitude in generation Z. Methodology/ approach: This study uses a survey method by distributing questionnaires online. The sample in this study were 180 respondents. We use SEM-PLS to analyze data. Findings: The results show that performance expectancy and personal innovativeness affect attitude, while habit does not affect. The intention to do Islamic online donation is influenced by performance expectancy, habit, personal innovativeness, and attitude. Attitude can mediate the relationship between performance expectancy and personal innovativeness with the intention to pay ZIS online. However, the effect of habit on online ZIS payment intentions cannot be mediated by attitude. Practical implications: As Generation Z dominates the population in Indonesia, this generation has high potential in ZIS collection. ZIS Institutions can further promote the convenience of online ZIS payments. Originality/value: This study uses personal innovativeness as a construct of UTAUT-3 in the intention to Islamic online donation.

Disentangling the influence of mobile learning usability and its determinants–PLS-SEM and importance-performance investigation

Today, numerous mobile learning applications are used to enable learning during the working process or on-the-go. However, few insights that are available regarding mobile application usability (MAU) and its determinants in the context of mobile learning. More specifically, there is a critical need to disentangle the determinants of MAU and their overall impact on MAU while also acknowledging the possible motivational consequences. Therefore, we developed a theoretical model of MAU, its determinants, and its consequences. By utilizing a free simulation experiment, we investigated the role of MAU in the domain of mobile learning. We used structural equation modeling to analyze the theoretical model. The results show a significant influence of MAU on mobile learning compatibility, performance expectancy, and self-efficacy. The results also indicate that compatibility acts as a partial mediator of usability on performance expectancy. Finally, we conducted an importance-performance analysis that reveals key usability insights: UI output, the most critical factor, underperforms, highlighting a major improvement area. UI structure and application design also need enhancement. In contrast, UI input and application utility perform well despite lower importance, with UI graphics showing adequate performance despite being least crucial. The present paper contributes to the discussion concerning MAU and its impact on mobile learning, while delivering formative insights of MAU for mobile learning applications.

Navigating New Terrain: Exploring Orientation Programs For New Academic Staff and Their Experience

Commencing a new job can instigate anxiety, especially for those without prior work experience. The excitement of a fresh employment endeavour may coincide with feelings of discomfort, stemming from unfamiliar expectations. A comprehensive overview and understanding on orientation programs for new staff can play a crucial role in facilitating their adaptation, fostering departmental understanding, fostering colleague connections, and grasping job essentials. This research seeks to assess orientation activities carried out for new academic staff joining the faculty by the management while investigating the orientation program experience of recently onboarded staff members with less than six years of experience in one of the language academies in a public university in the Klang Valley. An interview and survey were conducted and revealed notable areas of concern including employee benefits, performance expectations, departmental and faculty structures, policies and procedures and training development. The findings delineated key areas of concern as a foundational framework to be concentrated by the management during future faculty staff recruitment. This study also highlights the need to develop a tailored orientation kit for new onboarding staff to the faculty.

Evaluating Enablers and Outcomes of Clients' Behavioral Intention to Use Electronic Mobile Payment Services during Covid-19 Pandemic: An Empirical Study on Jordanian Insurance Companies

By applying the Unified Theory of Acceptance Use of Technology 2 (UTAUT2), this study aimed to evaluate the enablers and outcomes of National Wallet (NW) company clients' behavioral intention to use electronic mobile payment services in the Jordanian insurance industry during the pandemic of Covid-19. The current study employed quantitative and qualitative research approaches. The proposed hypotheses were tested quantitatively by developing and examining the UTAUT2 model along with the Perceived Risk (PR) variable which was added to the original model and tested based on the moderators of income, education, age, gender and experience that would influence clients' behavioral intention to use mobile payment services and in turn influence clients' use behavior. Based on a sample comprised of 426 NW clients who used mobile payment services in the Jordanian insurance companies during Covid-19 pandemic, the Hayes Process Macro by Andrew F. Hayes plugin was used as a statistical analysis in Statistical Package for Social Sciences (SPSS) software to evaluate path coefficients. Data was collected via an online survey questionnaire and then analyzed and hypotheses were examined by employing both Structural-equation Modeling (SEM) and Machine-learning (ML) techniques. Results showed that performance expectancy, hedonic motivation, price value, perceived risk and habit impacted behavioral intention, whereas effort expectancy, social influence and facilitating conditions did not. Moreover, behavioral intention had statistically significant path coefficients on use behavior and habit on use behavior. In addition, several qualitative interviews were conducted with NW clients to verify the research results. Quirkos 2.3.1 application was used for qualitative analysis of three interviews.

Development and maturation of school principals’ viewpoint of physical education's value to the academic mission

School principals are responsible for leadership toward meeting an academic mission predicated on student achievement in core subjects. Socialization experiences of principals relative to physical education (PE) may impact their perception of PE's academic value. Our purpose was to investigate the development and maturation of school principals’ perspective of the value of PE to their school’s academic mission. Eleven principals completed two in-depth interviews about their perception of PE's value to their school's academic mission. Interviews occurred prior to and following their PE teacher participating in extended professional development. Principals observed and assessed the teaching performance of their current PE teacher on two separate occasions between interviews. Occupational Socialization Theory guided inquiry and analysis. Principals’ positive and negative experiences during K-12 influenced their beliefs about the value of PE to the academic mission and were evident in performance expectations of their respective PE teacher. Professional training had little effect, but instructional leadership interactions with their PE teacher impacted principals’ beliefs about PE's value to the school’s academic mission. Positive changes in principal perceptions about the academic nature of PE were noted over the course of the study. Principal preparation programs offer little guidance in supporting PE. Opportunities to observe and reflect upon best practices with PE teachers may positively alter their beliefs. More guidance on evaluating teachers of specific content areas such as PE is warranted, and PE teachers may offset marginalization by engaging their principal about best practices that align with and support the school’s academic mission.

Artificial Intelligence Adoption in Sustainable Banking Services: The Critical Role of Technological Literacy

This study explores how customers recognize and accept artificial intelligence devices (AIDs) in the realm of sustainable banking services, applying the Artificially Intelligent Device Use Acceptance (AIDUA) model. This research not only seeks to corroborate the AIDUA model in the banking sector, but also aims to enrich it by introducing technological literacy as a moderating factor, particularly in the perspective of sustainable banking. Data were collected through 435 valid, self-administered face-to-face surveys from bank customers in China, determined through convenience sampling. The hypotheses, covering both direct and moderating effects, were examined using structural equation modeling. This study verifies the applicability and reliability of the AIDUA model, in assessing customer acceptance of AIDs within sustainable banking services. The findings indicate that customer acceptance of AIDs unfolds in three distinct phases. Initially, the consumers’ perceptions of social influence (SI), hedonic motivation (HM), and perceived anthropomorphism (PA) positively influence their green performance expectancy (GPE) and green effort expectancy (GEE) concerning AIDs. As a result, greater GPE and GEE among bank customers lead to stronger positive emotions, which greatly contribute to increased AIDs usage and a reduction in resistance to their implementation. Additionally, the findings determine that technological literacy plays a substantial moderating role in the association connecting green performance expectancy and customer emotions in relation to adopting AIDs, thereby highlighting its importance in advancing sustainable banking initiatives.

Use Behavior Analysis Of Job Seekers Using The E-Recruitment System In The Special Region Of Yogyakarta

E-Recruitment is a job search platform for job seekers. In the modern era, organizations adapt human resource recruitment systems to remain viable. Where the success of e-recruitment depends on the large number of uses of the e-recruitment platform and the organization getting competent human resources. The aim of this research is to determine the influence of performance expectancy, effort expectancy, social influence, facilitating conditions on behavioral intention, and behavioral intention on the use behavior of job seekers using e-recruitment in the Special Region of Yogyakarta. This type of research is quantitative descriptive, namely research that uses mathematical models, theories and/or hypotheses related to natural phenomena. The sample in this study used a purposive sampling technique, where the sample population in the Special Region of Yogyakarta was 210 job seekers who had used e-recruitment. Based on the results of research conducted by researchers in the Special Region of Yogyakarta, what was found was that performance expectancy, effort expectancy, social influence, facilitating conditions together have a significant influence on behavioral intention, and behavioral intention influences the use behavior of job seekers using e- recruitment in the Special Region of Yogyakarta with a p value < 5%, meaning that if performance expectancy, effort expectancy, social influence, facilitating conditions increase, interest in using e-recruitment will also increase, and the higher the level of behavioral intention, the use of e-recruitment behavior will also increase.

Antecedents of Customer Participation on Sharing Platforms: A Meta‐analysis

AbstractGiven the substantive influence of the digital revolution on the sharing economy, it is timely and relevant to ask why some sharing platforms (e.g. Airbnb and Uber) achieve significant success while others fail. To determine which factors encourage customers to participate in sharing goods and services on sharing platforms, and when they do so, this study conducts a meta‐analysis of empirical findings from 192 independent samples, extracted from 167 studies involving 171,344 customers. As the results clarify, customer‐related factors (customer motives, customer competence, customer satisfaction and subjective norms) are key antecedents. However, platform‐related factors (service quality of the platform, trust in the platform, performance expectancy and effort expectancy) and service‐provider‐related factors (service quality of the provider, trust in the provider and provider gender) also exert meaningful effects. To assess the generalizability of these antecedents, the meta‐analysis includes contextual moderators, namely customer type (previous provider experience), provider type (private/professional supply), platform characteristics (rivalry on the platform, prestige of ownership and services/goods) and exchange type (for‐profit/non‐profit and ownership transfer). The findings advance the literature on the sharing economy and provide specific guidance for platform managers about when to focus on certain antecedents.

Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework

Abstract. Downscaling global climate models (GCMs) provides crucial high-resolution data needed for informed decision-making at regional scales. However, there is no uniform approach to select the most suitable GCMs. Over Southeast Asia (SEA), observations are sparse and have large uncertainties, complicating GCM selection especially for rainfall. To guide this selection, we apply a standardised benchmarking framework to select CMIP6 GCMs for dynamical downscaling over SEA, addressing current observational limitations. This framework identifies fit-for-purpose models through a two-step process: (a) selecting models that meet minimum performance requirements in simulating the fundamental characteristics of rainfall (e.g. bias, spatial pattern, annual cycle and trend) and (b) selecting models from (a) to further assess whether key precipitation drivers (monsoon) and teleconnections from modes of variability are captured, i.e. the El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). GCMs generally exhibit wet biases, particularly over the complex terrain of the Maritime Continent. Evaluations from the first step identify 19 out of 32 GCMs that meet our minimum performance expectations in simulating rainfall. These models also consistently capture atmospheric circulations and teleconnections with modes of variability over the region but overestimate their strength. Ultimately, we identify eight GCMs meeting our performance expectations. There are obvious, high-performing GCMs from allied modelling groups, highlighting the dependency of the subset of models identified from the framework. Therefore, further tests of model independence, data availability and future climate change spread are conducted, resulting in a final subset of two independent models that align with our a priori expectations for downscaling over the Coordinated Regional Climate Downscaling Experiment –Southeast Asia (CORDEX-SEA).

The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers

This research investigates the adoption of the Merdeka Mengajar application using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study aims to identify the factors influencing teachers' behavioral intentions and usage behavior regarding this educational technology platform. A total of 383 teachers from various levels in Malang were sampled from a broader population of 8,936. Statistical analysis uses SEM (Structural Equation Modelling) analysis techniques. The findings suggest that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value significantly influence behavioral intention. However, facilitating conditions and habit do not show a direct significant impact on use behavior. These results indicate that while technological support such as infrastructure and internet access is necessary, it alone may not be enough to motivate consistent usage without internal factors like perceived usefulness or enjoyment of the app. Moreover, the habitual use of new technology may require additional support and time before it can significantly affect behavior. This study contributes valuable insights into the adoption of educational technologies, especially in the Indonesian context, where digital learning platforms are increasingly being integrated into teaching practices. Future research may explore how ongoing support and user experience improvements can further enhance the app's adoption.

Drivers of Electric Vehicle Adoption in Nigeria

Electric vehicles (EVs) represent a significant advancement in automotive technology, utilizing electricity as a power source in place of traditional fossil fuels and incorporating sophisticated navigation and autopilot systems. These vehicles align with multiple Sustainable Development Goals (SDGs) by offering a more environmentally sustainable alternative to internal combustion engine vehicles (ICEVs). Despite their potential, the adoption of EVs in developing nations such as Nigeria remains constrained. The Unified Theory of Acceptance and Use of Technology (UTAUT) framework is expanded in this study by including important enablers such as poor infrastructure, problems with affordability, and government support in the broader category of facilitating conditions. Additionally, it scrutinizes variables such as trust, performance expectations, social influences, and network externalities to identify the primary determinants influencing Nigerian consumers' propensity to adopt EVs. Results show that the percentage increase of H6 (facilitating conditions → behavioral intentions) compared to H5 (network externalities → behavioral intentions) is approximately 32.35%, indicating that traditional drivers significantly influence individuals' willingness to purchase EVs and are particularly strong factors in adoption decisions. The paper concludes with a discussion of these findings and proposes strategies for future research to further explore the barriers and drivers of EV adoption in Nigeria.

Influence of Communication Strategies on Organizational Performance: A Case of the Office of the Auditor General of State Finances in Rwanda

This research paper investigated the effect of communication strategies on organizational success. It specifically assessed the influence of participatory communication, result-based communication, and multi-channelled communication strategies on the success of the Office of Auditor General of state finances (OAG). The paper applied a descriptive and correlation design with a mixed approach. A sample size of 150 was drawn from a target of 248 workers who participated in various service deliveries in Rwanda. A stratified sampling method was adopted to select a representative group. Primary data was obtained utilizing questionnaire surveys and interviews. Data was analysed using both descriptive and inferential analysis with the aid of the statistical product and service solutions version 26.0. Results to the first objective felt that that 43.0% agreed with openness, 37.6% with dialogue and consultation, and 34.2% strongly agreed with shared decision-making. It revealed the significant correlation between dialogue and time schedules (r=.206; p-value=.000). To the second objective results show that 38.6% strongly agreed with the articulation of performance expectations and provision of performance feedback was agreed by 47.7%. The research felt that 40.9% agreed that the use of information in problem-solving applied during service delivery. Results demonstrated that the effect on the provision of performance feedback on cost efficiency, time schedules, and service quality, the study ascertained that the provision of performance feedback is statistically significant with cost efficiency (r=0.122*; p-value=0.035). Results to the third objective demonstrated that the number of channels used in delivering messages was used as strongly agreed by 35.2%. It has been shown that 36.9% agreed with the cohesiveness of multi-voiced messages (agree=36.9; strongly agree= 31.5). Results show a significant correlation between the cohesiveness and consistency of multi-voiced messages and time schedules (r=0.105, p-value=0.071). In conclusion, the study concludes that participatory communication is correlated with dialogue and time schedules, and results-driven communication is associated with feedback on cost efficiency, time schedules, and service quality, the study ascertained the provision of performance feedback. This study recommends that OAG human resources personnel should adopt effective communication strategies, to encourage the attainment of expected goals. The study suggested that further studies should gather data from workers, clients as well as stakeholders to enrich empirical literature.

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.

Technology acceptance of balcony solar systems in Hungary – exploring influencing factors in a late-adopter country

PurposeBalcony solar panels are popular and widespread in most EU Member States, except in Hungary, where their use is currently banned. However, the lifting of this strict ban is expected to be approved in the near future. The aim of this research is to investigate which factors influence residents’ intention to use balcony solar panels in Hungary and how strong these impacts are.Design/methodology/approachUnified theory of acceptance and use of technology 2 (UTAUT2) is applied to predict which factors may influence residents’ behavioral intention to use this technology. Six components are tested: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and price value. Data were gathered in Hungary in 2023 using an online survey. A quota sampling method was employed during the data-collection process.FindingsOur results confirm the importance of all components except effort expectancy. In addition to the economic benefits that can be achieved, citizens consider energy independence and a sense of freedom to be important in the adoption of such systems.Research limitations/implicationsDespite the large share of positive responses (expressed intention) that is identified, a gap between intention and action can be expected.Practical implicationsTo increase the rate of acceptance, transparent regulation, simplified administration and the application of nudges may be crucially important. However, the widespread use of balcony solar systems is hindered by the lack of a modern, energy-efficient building stock, emphasizing the urgency of deep renovation in the Hungarian household sector.Originality/valueThis research is the first to use the UTAUT2 model to analyze the technology acceptance of balcony solar systems in a late-adopter country.

Unveiling Mobile Wallet Adoption: Exploring UTAUT's Influence on Behavioral Intentions

In today’s world, smartphones have become the most important part of life. It has changed the lifestyles of many people. In recent times, the usage of smartphones has increased dramatically as it offers various benefits to its users. The rapid evolution of digital payment technologies has propelled the emergence of mobile wallets as a convenient and potentially transformative means of financial transactions. The current research focuses on analyzing the effects of UTAUT on users’ behavioral intentions for using Mobile wallet technology. In this empirical study, the main concepts of the UTAUT model are explained. Adopting the UTAUT framework, the survey evaluates important factors that influence users' intentions to adopt mobile wallets. This study uses survey data from 110 Internet users, which will be examined using regression, correlation, and weighted mean analysis. This research revealed positive significant correlation between intention and performance expectations, effort expectations, social norms, and privacy. However, it was also found that performance expectation, effort expectation and privacy of personal information had a significant positive influence on behavioral intention.

Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling

ChatGPT, an advanced Artificial Intelligence tool, is getting considerable attention in higher education. ChatGPT significantly changes the student learning experience through its AI-aided support, personalized study assistance and effective educational experiences, and it has become an object of particular interest in this context. This research aimed to build a technology acceptance and usage model that encapsulates the elements influencing students’ adoption and utilization of ChatGPT, drawing on constructs from the ‘Unified Theory of Acceptance and Use of Technology’ and ‘Flow Theory’. The proposed model was found valid and prolific, with the credibility of the results relying on the self-reported surveys of 505 students from three universities in Pakistan. Structural Equation Modelling (SEM) was used to analyze data that confirmed the robustness and validity of the proposed model of the study. The study findings supported nine out of the ten proposed hypotheses. Perceived playfulness was declared the paramount predictor of behavioral intention, while perceived values and performance expectancy were the next-level predictors. Additionally, behavioral attention was a high and inspiring determinant of ChatGPT usage behavior, followed by attention focus. This analysis demonstrates a need for a thorough investigation of AI tools like ChatGPT in higher education.

Trust and Religiosity: Integrating Technological Acceptance Factors into the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) Model for Zakat Online Payment Systems

The aim of this study is to examine the adoption of digital zakat payment platforms among micro-entrepreneurs, incorporating trust and religiosity into the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This research extends the traditional UTAUT framework by integrating trust and religiosity as additional determinants of technology adoption intention, alongside the model's core constructs of performance expectancy and social influence. Primary data for this study was gathered through a digital survey disseminated to 110 micro-entrepreneurs in the state of Kedah, all of whom are actively registered with the Malaysian Company Commission (SSM), under the auspices of the Ministry of Domestic Trade, Cooperatives, and Consumerism (KPDNKK). The methodological approach is rooted in structural equation modelling, which facilitates a rigorous empirical analysis of the relationships between technological constructs and user intention. The results reveal that trust and performance expectancy, along with social influence, significantly impact micro-entrepreneurs’ intentions to engage with online zakat payment systems. Interestingly, despite the religious nature of zakat, religiosity did not emerge as a significant predictor in the context of this digital payment adoption. This insight suggests that while religious obligation drives the act of zakat itself, it is the technological aspects of trust and anticipated performance that influence the preference for digital payment methods over traditional ones. This research provides valuable implications for zakat institutions and policymakers aiming to foster the digitalization of religious financial transactions. By highlighting key factors that influence digital adoption, the study underscores the potential for zakat management bodies to innovate and promote digital solutions that align with micro-entrepreneurs' expectations and trust requirements. Ultimately, this study charts a path forward for enhancing digital inclusivity in religious financial practices, marking a transition from conventional to modern, technology-enabled means of fulfilling zakat obligations.

The Acceptance of Mobile Applications for Government Services (MG- App): A Study From Users’ Perspective

Purpose: The objective of this study is to identify and analyze various factors that influence users' acceptance of mobile government applications (mG-Apps). Methodology: This study has constructed a research model grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, information quality and trust, two vital constructs, have been added to the UTAUT to enhance the predictability of the model. Data collected from a sample size of 212 from Bangladesh has been used to test the model. Findings: We have employed the popular structural equation modeling (SEM) to assess the data. Our results suggest that the significant elements impacting users' acceptance of mG-Apps are performance expectancy, effort expectancy, facilitating conditions, information quality and trust. In contrast, social influence is identified as an insignificant predictor. Practical Implications: This research will assist different government agencies, policymakers, and practitioners in the creation of timely and effective policies to develop and promote myriad mG-Apps to render services to the citizens. Originality/Value: This research has offered an innovative framework to assess the acceptance of mG-apps by the citizens. This unique model has been constructed by expanding UTAUT with two key contextual constructs such as information quality and trust. We believe, this study will contribute to the extant body of theory surrounding the use of mobile government, e-government, and mobile applications development. Limitations: This study only looks at the opinions of people in Bangladesh, hence the researchers recommend that the proposed study model should be validated by using data collected from other similar countries.

University Teachers’ Views on the Adoption and Integration of Generative AI Tools for Student Assessment in Higher Education

This study examines the factors that may impact the adoption of generative artificial intelligence (Gen AI) tools for students’ assessment in tertiary education from the perspective of early-adopter instructors in the Middle East. It utilized a self-administered online survey and the Unified Theory of Acceptance and Use of Technology (UTAUT) model to collect data from 358 faculty members from different countries in the Middle East. The Smart PLS software 4 was used to analyze the data. The findings of this study revealed that educators developed new strategies to integrate Gen AI into assessment and used a systematic approach to develop assignments. Moreover, the study demonstrated the importance of developing institutional policies for the integration of Gen AI in education, as a driver factor influencing the use of Gen AI in assessments. Additionally, the research identified significant factors, namely performance expectancy, effort expectancy, social influences, and hedonic motivation, shaping educators’ behavioral intentions and actual use of Gen AI tools to assess students’ performance. The findings reveal both the potential advantages of Gen AI, namely enhanced student engagement and reduced instructor workloads, and challenges, including concerns over academic integrity and the possible negative impact on students’ writing and thinking skills. This study emphasizes the significance of targeted professional development and ethical criteria for the proper integration of Gen AI in educational assessment.