Ease Of Usefulness Research Articles

Unravelling late adolescents’ addiction to social media: a unified theory perspective

Purpose This study aims to explore the intricate connections among late adolescents in Malaysia by considering their attachment patterns, attitudes towards technology acceptance, malevolent psychological and emotional traits and addiction to social media. This is achieved by integrating and refining the attachment theory (AT), the technology acceptance model (TAM) and the dark triad (DT) personality traits. Design/methodology/approach A total of 217 quantitative data were gathered from adolescents between 17 and 19 years of age. The data was analysed using partial least square structural equation modelling with established constructs, including TAM (perceived ease of use, perceived usefulness, attitude), DT traits (narcissism, Machiavellianism, psychopathy, fear of missing out), AT (attachment avoidance, attachment anxiety) and social media addiction. Findings The findings indicate that the perceived ease of use and usefulness are significantly positively related to attitude. Additionally, both attitude and FOMO were found to have a significant positive relationship with social media addiction. Notably, attachment anxiety was found to have a significant positive impact on FOMO, whereas attachment avoidance did not. Furthermore, among the dark triad traits, only narcissism showed a positive relationship with FOMO. Originality/value This study is novel because it integrates and expands unified theoretical perspectives to uncover the multifaceted factors contributing to late adolescents’ social media addiction. Moreover, introducing new concepts such as FOMO lays the groundwork for future research. Additionally, it proposes interventions that target specific vulnerabilities associated with attachment styles, technology acceptance and personality traits.

Persepsi Auditor Eksternal Atas Pengaruh Kemudahan dan Kegunaan Artificial Intelligence Terhadap Kualitas Audit

This study aims to investigate external auditors' perception of the impact of artificial intelligence's ease of use and usefulness on audit quality, while also examining the potential scepticism among external auditors towards the integration of artificial intelligence in the audit process. A quantitative approach is utilized to analyze the relationship between the variables. The research was conducted through questionnaires distributed via telegram and WhatsApp groups, email, and collaboration with IAPI. One hundred and eight valid responses were gathered from external auditors of Big Four KAP, internationally affiliated KAP - non big four, and national KAP. Findings reveal that external auditors do not exhibit a sceptical attitude towards the usage of artificial intelligence in the audit process. The test results demonstrate that external auditors' perceptions of the ease of using artificial intelligence aids in enhancing audit quality. Similarly, gauging external auditors' perceived usefulness or benefits of artificial intelligence can also lead to improved audit quality. This study's sample is limited to external auditors of financial statements at public accounting firms, and therefore the findings should not be extended to other types of auditors such as government or internal auditors. This study offers external auditors a thorough comprehension of how artificial intelligence contributes to the audit process to improve audit quality. The necessity for external auditors to improve their technical skills arises due to the increased utilization of big data by businesses. Hence, universities must provide graduates with competence in not only accounting and auditing but also the latest technology.

Pengaruh Pengetahuan, Kemudahan Penggunaan, dan Kemanfaatan Quick Response Code Indonesian Standart (QRIS) Terhadap Penggunaan E-Wallet

This research aims to determine whether knowledge, ease of use and usefulness of the Quick Response Code Indonesian Standard (Qris) have a significant effect on the use of E-wallet among FEBI UIN North Sumatra students. The population used in this research were all active students in 2020-2021, Faculty of Islamic Economics and Business, UIN North Sumatra, totaling 4,878 with a sample size of 100 respondents. The sampling technique in this research used Non Probability Sampling using Purposive Sampling. The research method used is a quantitative method with multiple regression analysis, and the data collection technique is carried out by distributing questionnaires. The results of this study show that knowledge has a significant effect on the use of e-wallets among Febi UIN North Sumatra students, ease of use has a significant effect on the use of e-wallets among Febi UIN North Sumatra students, and usefulness has a significant effect on the use of e-wallets among Febi UIN Sumatra students North. Knowledge, ease of use and usefulness have a significant influence on the use of e-wallets among Febi UIN North Sumatra students.

Key factors influencing digital learning adoption among cambodian university students: An integrated theoretical approach

This study investigates the factors influencing the adoption of digital learning platforms among university students in Cambodia, integrating multiple theoretical frameworks: the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Self-Determination Theory (SDT). Conducting a cross-sectional survey with 369 students from various institutions, this study employed partial least squares structural equation modelling (PLS-SEM) to analyze the data. The findings revealed significant connections among motivational factors, perceived ease of use, usefulness, and subsequent adoption behaviours. This study contributes significantly to the global discourse on digital education, particularly from the perspective of a developing country, at a pivotal point in its educational evolution in the digital age. This highlights the importance of enhancing intrinsic and extrinsic motivations among students to improve the adoption and effective use of digital learning resources, offering practical recommendations for educational stakeholders in Cambodia and similar contexts.

A Case Study on the Operational Performance Evaluation of a Manufacturing Process and System (MaPS) Sustainability Analysis Tool for Engineering Education

As the future product and process design decision-makers, students in engineering should have knowledge of sustainability and its application in industry. However, educators are challenged in training students in these concepts. Existing analysis tools are deficient in supporting sustainability assessment by nonexperts. To address this gap, the Manufacturing Process and System (MaPS) Sustainability Analysis tool was developed under the Constructionism in Learning: Sustainable Life Cycle Engineering (CooL:SLiCE) project. The technical aspects of developing a framework and its associated proof-of-concept MaPS Sustainability Analysis tool are reported in a separate study. Herein, the educational aspects of the MaPS Sustainability Analysis tool and its operational performance in terms of ease of use and usefulness to assess its suitability for the classroom are investigated. Undergraduate and graduate engineering students at Tampere University and Oregon State University were recruited to use and evaluate the tool. Through application of the Technology Acceptance Model (TAM), it was determined that the 24 study participants found the tool easy to use and useful in analyzing product design, manufacturing process, and supply chain sustainability performance. To move this proof of concept toward general use, key software operational characteristics and a GUI should be investigated to improve efficiency, effectiveness, satisfaction, and learnability of the MaPS Sustainability Analysis tool.

Digital Transformation of Public Services: An Analysis of the Effectiveness of Online Services at the Local Government Level

This study examines the effectiveness of online services at the local level (District) Office which sees the existence of E-Gov encouraging the government to create good governance in providing information needs and transparency to the community. The renewal of public services in the reform era is the main focus of the government as an effort to realize good governance. The research method used is qualitative. This research uses the concept proposed by Pedrosa et al (2022) which uses eight indicators of the effectiveness of digital public services: ease of use, usefulness, simplicity, reliability, availability, understandable, consistent, and fast. The results showed that online-based services at the agency were effective in several aspects, such as trust and availability, but there were still shortcomings in the aspects of simplicity and consistency. Online services are considered easy to find through familiar channels and have a fast response, less than an hour. Nevertheless, the implementation of online service SOPs still needs to be improved. This study concludes that online services have become an attractive asset in the effort to transform the digitalization of public services.

Navigating the roadmap to meta-governance adoption

Purpose This study aims to investigate citizens' adoption intention towards meta-government (metaverse-based government) by proposing a dual-perspective technology acceptance model. Design/methodology/approach The validity of the proposed model was established by gathering and analysing 533 responses using structural equation modelling (SEM). Findings The study findings underscore the importance of perceptions of ease of use and usefulness in fostering the intention to adopt meta-government. However, perceived cyber risk and switching costs negatively impact these perceptions. On the contrary, herd behaviour and perceived immersion positively influence perceptions of ease of use and usefulness. Originality/value This study significantly contributes to the existing literature by offering valuable insights into the factors that influence citizens' adoption of meta-government. It introduces a novel perspective on the primary factors (both enablers and barriers) shaping citizens' adoption intention of meta-government. These insights serve as a foundation for scholars, governments and policymakers to develop effective strategies for promoting meta-government adoption.

Leveraging TikTok for active learning in management education: An extended technology acceptance model approach

This study investigates the role of TikTok, a prominent short-form video platform, in facilitating active learning intention within management education. Employing an extended Technology Acceptance Model (TAM), the research examines how perceived ease of use, usefulness, playfulness, interactivity, immersion, and virtual reward enhance students' active learning intention. Data collected from 414 students majoring in international business across two universities in China reveal that perceived ease of use and usefulness significantly influence interactivity, while virtual rewards impact immersion and playfulness, further influencing students' active learning intention. The study developed a new scale to measure active learning intention in TikTok usage, rigorously validating its reliability and validity through pre-testing and statistical analyses. Furthermore, the research uncovers the moderating role of novelty experience in the relationship between these factors and active learning intention. The findings offer significant implications for integrating emerging technologies like TikTok into management education, highlighting the need for pedagogical strategies that leverage the unique features of social media platforms for creating and sharing short videos to enhance student engagement and learning outcomes. By providing empirical evidence and a discussion of the practical implications, this research contributes to advancing the understanding of digital pedagogies in management education and encourages exploring innovative teaching methods to promote management learning in the digital era.

What motivates customers’ participation in mobile instant messaging-based online restaurant community: an extended technology acceptance model

PurposeAn increasing number of restaurants are building mobile instant messaging-based online restaurant communities to enhance connections with customers, but the mechanisms of customers’ behavioral intentions toward these communities remain unclear. To address this gap, this study aims to investigate the factors affecting customers’ acceptance of mobile instant messaging-based online restaurant communities from the perspectives of social support theory and technology acceptance model.Design/methodology/approachPartial least squares structural equation modeling was used to analyze data collected from 360 customers.FindingsThe results indicate that informational support and social presence influence perceived ease of use and usefulness. By contrast, emotional support significantly affects only perceived usefulness. Additionally, perceived ease of use and usefulness can positively predict customer attitudes and foster behavioral intentions.Originality/valueThis research broadens existing research on online restaurant communities by constructing an integrated model that considers social support-related and technology use-related factors to understand consumers’ participation in a new type of restaurant community, namely, the mobile instant messaging-based online restaurant community. The findings also offer guidance on how restaurants can encourage customers to embrace mobile instant messaging-based online restaurant communities.

The Influence of AI and AR Technology in Personalized Recommendations on Customer Usage Intention: A Case Study of Cosmetic Products on Shopee

With the rapid growth of Augmented Reality (AR) in e-commerce, it is necessary to conduct in-depth studies related to the integration of AR with Artificial Intelligence (AI) technology to improve personalization in product recommendations. AI and AR are expected to work together, where AI systems analyze consumer data to provide more suitable product recommendations, while AR helps consumers visualize these recommendations in the real world. This research explores the influence of AI and AR technology integration in personalized recommendations on customer usage intention, with a focus on the cosmetics industry on the e-commerce platform Shopee. Adopting the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research uses quantitative methods with the try-on feature of cosmetic products as the main focus. With a total number of 387 respondents, the results of the PLS-SEM analysis revealed factors impacting the intention to use, such as perceived ease of use, perceived usefulness, and users’ perceived trust, on the intention to use personalized recommendations. This research contributes to the understanding of AI–AR technology acceptance in the context of online shopping, particularly in the cosmetics sector.

Foreign Language Teacher's Attitudes Towards a Pre-designed Language Learning System

Once the pandemic concluded, the Foreign Languages Department of a Chilean state university hired a Canadian company to implement a pre-designed language learning system (PLLS). This platform was to be used by all teachers and students, as it contained various activities to develop all four language skills, including pronunciation practice through AI-based voice recognition. This study explores the attitudes of 17 university teachers towards using these pre-elaborated resources, activities, and assessments in their communicative English and German courses. A mixed-method approach was used, involving a survey based on the Technology Adoption Model (TAM) and individual interviews. Descriptive statistics were obtained from the survey responses, and qualitative data were analysed using content analysis techniques. The results indicate that teachers' attitudes towards the PLLS were generally neutral to negative. Instructors expressed their concerns about the system's pre-designed content and perceived functionality. Perceived ease of use and usefulness were rated low, reporting difficulties in navigation and alignment with their teaching styles. Perceived enjoyment received the lowest rating, mentioning issues such as disconnected content and lack of progressive structure. Qualitative data revealed technical problems, increased workload, and concerns about the system's impact on student motivation and learning outcomes. While some positive aspects were noted, the overall attitude towards the PLLS was predominantly negative, highlighting the need for better alignment with pedagogical goals and improved implementation strategies.

Threat or prospect? Exploring the impact of digital entrepreneurs’ artificial intelligence perception and intention to adopt blockchain technology on the achievement of SDGs

This paper explores how digital entrepreneurs' intention toward blockchain technology adoption, perception of reduced costs, and knowledge of Artificial Intelligence impact achieving UN's Sustainable Development Goals (SDGs), drawing attention from various sectors. Present study applies explanatory sequential mixed method for data collection. Moreover, to work with the dual face patterned data, PLS-SEM is used to perform quantitative analysis of the data collected from 389 digital entrepreneurs who are chosen through purposive sampling and then content analysis is performed for the qualitative data according to the explanatory sequential mixed method's rule of thumb. The study's quantitative phase shows that factors such as perceived ease of use and usefulness of Industry 4.0 technologies, knowledge of artificial intelligence (KAI), and perception of reduced cost positively influence digital entrepreneurs' intention to adopt blockchain technology (BCT). Notably, KAI has the strongest impact. In the qualitative phase, it's found that digital entrepreneurs' KAI and willingness to adopt BCT strongly align with achieving several UN Sustainable Development Goals (SDGs), suggesting BCT adoption's potential for sustainable outcomes. The outcomes of this study set a new benchmark in the domain of SDGs achievement with careful integration to Industry 4.0, AI and BCT. This study results undoubtedly instigate the digital entrepreneurs to adopt BCT in doing their start-up and convince the policymakers to set regulatory landscape with convenient environment for the utilization of BCT which then ultimately accelerates the achievement of SDGs.

Investigate Live Streaming Commerce on Tiktok as Trends New Online Shopping: Exploration Perception and Intention Consumer

The Covid-19 pandemic has changed the way people interact with digital technology. The increased use of the internet is not limited to activities such as searching for information and communicating; it has also entered the realm of the economy with online trading of goods and services. Social media platforms like TikTok have become places not only for social interaction but also for direct purchasing. Guided by the Technology Acceptance Model and the Theory of Planned Behavior, this study explores consumers' perceptions and intentions regarding using the live-streaming commerce feature on TikTok for purchasing goods. Through semi-structured interviews with consumers who actively use this feature to shop for products, the research findings indicate that consumers have perceptions about using the live-streaming commerce feature on TikTok. External influences can affect consumers' interest in using TikTok's live-streaming commerce feature. Some barriers affect consumers' intentions to use the live-streaming commerce feature on TikTok. There is also perceived ease of use and usefulness in using TikTok's live streaming commerce feature. The implications of this research can help platform developers and businesses better understand the needs and preferences of consumers when using the live streaming commerce feature on TikTok and adjust their marketing strategies accordingly

Influence of Convenience, Usability, Price, and Promotion on Reuse Intentions: Muslim Awareness Moderation

Online transportation has transformed the transport industry by offering practical and innovative solutions embraced by the public. This study evaluates the impact of ease of use, usefulness, price, and online promotion on the intention to reuse online transportation services, with Muslim consumer awareness as a moderating variable. Focusing on Grab users in Jakarta, the research uses a quantitative approach with 110 respondents from South and Central Jakarta, analyzed using Warp PLS. The results show that ease of use, usefulness, and online promotion positively and significantly affect reuse intention, while price has a negative and significant impact. Muslim consumer awareness moderates the effects of ease of use, usefulness, and online promotion on reuse intention but does not moderate the effect of price. These insights aid online transportation service providers in crafting effective marketing strategies for Muslim consumers in Jakarta.

Understanding physicians' adoption intentions to use Electronic Health Record (EHR) systems in developing countries: an extended TRAM approach

PurposeThe success of an Electronic Health Record (EHR) system is determined by the numerous facilitators and obstacles that influence physicians' intentions toward using these technologies. This study examines physicians' intentions to use EHR by applying the extended technology readiness and acceptance model (TRAM) factors, the result demonstrability, colleagues' opinions, perception of external control, and organizational support.Design/methodology/approachConvenience sampling was used to collect data from physicians in Egypt (n = 520). To evaluate the model's hypotheses, this study used the partial least squares structural equation modeling (PLS-SEM) method with WarpPLS.7.FindingsThe results revealed that positive TR factors (innovativeness and optimism) positively affect perceived usefulness and ease of use, while negative TR factors (discomfort and insecurity) negatively impact perceived usefulness and ease of use. Furthermore, the result demonstrability and colleagues' opinions positively influence perceived usefulness, while the perception of external control and organizational support positively influence perceived ease of use. In addition, significant relationships between perceived ease of use and usefulness and adoption intention were identified.Originality/valueThis is the first study to apply the TRAM to understand physicians' adoption intentions to use EHR systems. Moreover, this study determined the different roles of positive and negative TR affecting physicians' cognition regarding using EHR systems.

PnT: Born-again tree-based model via fused decision path encoding

Decision forests, such as random forest (RF) are widely used for tabular data, mainly due to their predictive performance and ease of usage. However, given that the forest’s trees may produce contradictory predictions for a certain sample, the usage of decision forests in applications that involve decision-making necessitates further reliability assessment of the predictions for generating a trustworthy combined prediction. Model distillation using a born-again tree is a common approach for converting a decision forest into a single decision tree (DT) while preserving the forest’s predictive performance and supporting decision-makers. In this paper, we introduce PnT (Path in Tree), a novel approach that learns a path-based encoding from a decision forest. PnT applies an iterative algorithm, where in each iteration, a batch of trees is trained and then used to identify informative paths. These paths are then encoded and utilized for PnT-DT, an approach for producing a contradiction-free born-again DT. We also show that PnT can be leveraged for PnT-RF, a born-again forest approach, capable of improving the predictive performance of a plain decision forest. We evaluate PnT-DT and PnT-RF on 40 classification datasets and demonstrate that both PnT-DT and PnT-RF significantly outperform existing state-of-the-art (SOTA) born-again DT and decision forest methods in terms of predictive performance.

Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study

BackgroundMobile phones are potential digital technologies for accessing family planning self-care interventions. However, their utilization could be possible if women of reproductive age have positive attitudes towards the use of this technology for healthcare purposes. This study aimed to examine the relationship between attitudes towards the use of mobile phones and access to family planning self-care interventions among female market vendors of reproductive age in northern Uganda.MethodsA cross-sectional survey design was used. Two hundred and five randomly selected female vendors from the Gulu city main market participated. A structured researcher-administered questionnaire was used to collect the data. Descriptive statistics and standard multiple regression were performed, and the data were analysed using SPSS software version 15.ResultsOf the 205 participants, 112 (54.6%) reported using smartphones, and 147 (71.7%) were aware of family planning self-care interventions. Participants had moderate attitudes towards access to family planning self-care interventions (mean = 3.18), positive attitudes towards ease of use (mean = 3.31) and usefulness of mobile phones (mean = 3.30), strong positive attitudes towards privacy (mean = 4.04), and skills associated with using mobile phones (mean = 4.04). Furthermore, significant positive relationships existed between ease of use (p value = 0.000), skills (p value = 0.001), privacy (p value = 0.002) and access to family planning self-care interventions. There was, however, an insignificant positive relationship between mobile phone usefulness and access to family planning self-care interventions (p value = 0.189).ConclusionsParticipants’ positive attitudes towards the use of mobile phones could lead to access to FP self-care interventions, although uncertainty about the usefulness of the use of mobile phones for accessing FP self-care interventions exists. It is therefore important for healthcare practitioners, health development partners and the government to encourage and integrate the use of mHealth into regular FP self-care services and promotional activities while targeting underserved communities in Uganda.

The role of information quality, ease of use and usefulness on consumers’ trust in Facebook and WhatsApp groups as online sales platforms

Facebook and WhatsApp, recognised as popular social media and messaging platforms, are increasingly being used as online sales platforms through the emergence of marketplaces, online stores and groups. Businesses and individual sellers create groups on these platforms to attract buyers who share similar interests, but the buyers and sellers often do not know one another, which may cause trust issues. Therefore, sellers should be aware of the factors that influence a buyer’s trust so that strategies can be developed to mitigate trust issues that may hinder sales transactions. The aim of this study was to investigate the influence of information quality, perceived ease of use and usefulness on consumers’ trust in Facebook and WhatsApp groups as online sales platforms. Following a descriptive research design, the data was gathered from 412 participants by means of an electronic self-administered questionnaire that was distributed to the South African database of an international research company. The statistical methods that were used to analyse the data included reliability measures, HTMT analysis and structural equation modelling. The findings of the study revealed that the information quality and perceived ease of use of WhatsApp and Facebook groups significantly influence the perceived usefulness of these groups, which, in turn, influences consumers’ trust in WhatsApp and Facebook groups as online sales platforms. In conclusion, by understanding the relationship between these factors, social media platforms could alter their group features, while businesses and individual sellers can improve their marketing strategies to instil trust among group members and ultimately increase sales.

Effect of digital multimedia on the adoption of agricultural green production technology among farmers in Liaoning Province, China

Agricultural green production technology (AGPT) is essential for the sustainable development of agriculture, yet adoption rates among farmers are often low due to limited access to education and information. Based on the extended technology acceptance model, this study takes Liaoning, a major agricultural province in China, as a representative region to explore how digital multimedia influences the adoption of AGPT by farmers. The findings show that the perceived ease of use of these technologies significantly enhances farmers' intentions to adopt, while perceived risks detract from these intentions. Although digital multimedia effectively promotes AGPT by improving its perceived ease of use and usefulness, its role in mitigating perceived risks is minimal. Based on these results, we recommend that the government improve the quality of information on digital platforms by involving experts in the field and offer specific digital marketing training to potential users to increase the adoption of sustainable agricultural technologies.

Learner Perceptions of Artificial Intelligence-Generated Pedagogical Agents in Language Learning Videos: Embodiment Effects on Technology Acceptance

Artificial intelligence generates vibrant characters, encompassing teachers, peer students, and advisors within diverse educational media. However, the impact of the perceived embodiment of such characters in language learning videos on students’ technology acceptance and adoption is unclear. Integrating structural equation modeling into thematic analysis, this study analyzes 1042 valid responses from higher education students to bridge this research gap. Our study reveals that four subdimensions of embodiment (human-likeness, credibility, learning facilitation, and engagement) significantly and positively predict higher-education students’ perceived ease of use and usefulness of artificial intelligence-generated virtual teachers in language learning videos. Notably, an exception arises, as human-likeness does not significantly predict students’ perceived ease of use in our research context. Students’ perceived systemic interactivity and impact on the learning process emerge as pivotal mediators. The qualitative thematic analysis identifies students’ concerns about classroom administration, developmental support, technical issues, deprived interpersonal collaboration, and liberal attainment cultivation with the virtual teacher presence. This study can illuminate artificial intelligence technology designs and applications in education.