Perceptions Of External Control Research Articles

Algorithmically-driven writing and academic integrity: exploring educators' practices, perceptions, and policies in AI era

BackgroundDespite global interest in the interface of Algorithmically-driven writing tools (ADWTs) and academic integrity, empirical data considering educators' perspectives on the challenges, benefits, and policies of ADWTs use remain scarce.AimThis study responds to calls for empirical investigation concerning the affordances and encumbrances of ADWTs, and their implications for academic integrity.MethodsUsing a cross-sectional survey research design, we recruited through snowball sampling 100 graduate students and faculty members representing ten disciplines. Participants completed an online survey on perceptions, practices, and policies in the utilization of ADWTs in education. The Technology Acceptance Model (TAM) helped us understand the factors influencing the acceptance and use of ADWTs.ResultsThe study found that teacher respondents highly value the diverse ways ADWTs can support their educational goals (perceived usefulness). However, they must overcome their barrier threshold such as limited access to these tools (perception of external control), a perceived lack of knowledge on their use (computer self-efficacy), and concerns about ADWTs' impact on academic integrity, creativity, and more (output quality).ConclusionAI technologies are making headway in more educational institutions because of their proven and potential benefits for teaching, learning, assessment, and research. However, AI in education, particularly ADWTs, demands critical awareness of ethical protocols and entails collaboration and empowerment of all stakeholders by introducing innovations that showcase human intelligence over AI or partnership with AI.

Alien hand syndrome: Pathophysiology, semiology and differential diagnosis with psychiatric disorders (Review).

Alien hand syndrome (AHS) is an uncommon neurological condition characterized by involuntary, yet seemingly purposeful, movements of a limb, typically an upper extremity, with variable awareness and control by the affected individual. It is associated with a range of peculiar sensations, such as the feeling of limb estrangement, alien control and involuntary mirroring or restraining of movements. AHS indicates a profound disruption in volitional motor control and personal agency. The aetiology of AHS is the dysfunction of critical brain regions secondary to diverse neurological insults, such as tumours, vascular disorders, infarction or neurodegenerative diseases. It is clinically categorized into the parietal and callosal types, depending on the affected region, with manifestations often linked to the specific brain region affected. The callosal type is particularly challenging to diagnose due to its rarity and potential for nonspecific or concealed symptoms amid concurrent brain injuries. Distinguishing AHS from psychiatric disorders is crucial for accurate diagnosis and improved patient outcomes. Further research is imperative for a deeper understanding of the pathophysiology of AHS and the development of effective treatments. AHS predominantly affects adults and is frequently associated with multiple comorbidities. The syndrome is also exemplified by three distinct motor behaviours: Involuntary grasping, inter-manual conflict and limb levitation accompanied by the sensation of an alien limb or the perception of external control over one's movements. It has a generally good prognosis with partial or total recovery following appropriate rehabilitation techniques, including pharmacological and psychological measures.

Investigating the Effective Factors on the Acceptance of Teleorthodontic Technology Based on the Technology Acceptance Model 3 (TAM3).

Health information technology is used in dentistry worldwide. Despite the limited specialized resources for providing orthodontic treatment in Iran, the need to examine the technology acceptance model (TAM) seems necessary and is a significant step in the successful acceptance of teleorthodontic technology. The present study has identified and investigated the factors affecting the acceptance of teleorthodontic technology among orthodontists based on the TAM3 with the aim of successful implementation and deployment of this technology. In this descriptive-analytical research, 300 Iranian orthodontists who were members of the Iranian Orthodontic Association were selected by census sampling. The data was gathered through a modified and accommodated questionnaire called the acceptance model 3. The validity was confirmed. Moreover, the reliability was calculated based on Cronbach's alpha, which was equal to 0.870. Multiple linear regression analysis was also utilized to investigate the relationships between dependent, independent, and mediator variables. Besides, the final model was designed by the Amos software. The results of 251 orthodontic specialists proved that subjective norm, job relevance, output quality, results in demonstrability, and job relevance on output quality could significantly affect perceived usefulness. Similarly, the perception of external control was identified to have a significant influence on perceived ease of use. On the other hand, the perceived usefulness does not play a mediating role between perception and subjective norm. Furthermore, perceived usefulness was confirmed as a mediating factor in relationship to both perceived ease of use and behavioral intention. The findings of the present study revealed valuable scientific evidence to identify and apply the key factors affecting the acceptance and use of modern teleorthodontic technology in Iran. Besides, the structure of the TAM3 was recognized as fruitful and worthwhile for predicting the acceptance of this new technology and also in identifying key effective factors.

Understanding accounting students’ intentions to use digital badges to showcase employability skills

ABSTRACT By incorporating employability skills within the accounting curriculum, universities face the issue of how best to recognise students’ achievements. Digital badges are emerging as a potential means to recognise such achievements. Being shareable on social media sites, such as LinkedIn, and on other platforms, badges allow students to showcase their attainment of employability skills to potential employers. As student acceptance is a prerequisite to the success of this technology, this exploratory study examines accounting students’ perceptions of badge usefulness and ease of use, and whether these influence their intentions to use them for job applications. We also examine factors that contribute to these perceptions. A survey is undertaken of accounting students within a single university. Results suggest that both subjective norm and perceived usefulness directly influence intentions, while job application relevance and perceptions of external control have important indirect effects. Implications for universities are discussed and future research opportunities identified.

Uncovering risk professionals' intentions to use artificial intelligence: empirical evidence from the Italian setting

PurposeThis study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.Design/methodology/approachThe study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.FindingsThe findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.Research limitations/implicationsThus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.Originality/valueYet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.

Assessment of the Various Technology Tools Which Offered by University to the Students According to Technology Acceptance Model 3 (TAM3)

The target of this study is to measure the satisfaction of graduate and Ph.D. students with some of the educational and technical aspects of universities and their services to them by using the theory of TAM3. Conversely, the Technology Acceptance Model 3 (TAM3) technicality was employed with the (Xl STAT) program to explain the adoption process to measure user behavior. The total number of students is 261 male and female students in different universities in Turkey. (TAM3) was adopted in the present study to construct study tools and to evaluate user behavior. Seventeen factors were tested which are (“Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), Self-Efficacy (SE), Perceptions of External Control (PEC), Playfulness (PLAY), Perceived Enjoyment (ENJ), Objective Usability (OU), Anxiety (ANX), Subjective Norm (SN), Voluntariness (VOL), Image (IMG), Job Relevance (REL), Output Quality (OUT), Result Demonstrability (RES), Behavioral Intention (BI), and Actual Use (AU)”) [20]. The results showed that the TAM3 model was fit for this kind of problem. Moreover, the results of the statistical analysis show that the magnitude or volume relationships of variables by the model were significant and precise except for the subjective norm from Result demonstrability that was not supported, and users are satisfied with the performance of the technology tools that are used in their universities.

Exploring Factors Affecting the Mobile Commerce Adoption Among University Students in Malaysia

Objective – The purpose of this study is to present a conceptual framework for implementing mobile commerce utilising the TAM model and the application of Individual-Collectivism at the Individual Level (ICAIL) as a moderating variable in the context of mobile commerce in Malaysia. Methodology – The data for this study were collected from 550 randomly selected students from four Malaysian institutions using a self-administered questionnaire. Findings – The study found that images significantly correlate with the perceived usefulness variable. In contrast, the relationships between subjective norm, output quality, and outcome demonstrability are not significant, and anxiety has a weak relationship with perceived ease of use, playfulness, perception of external control, and self-efficacy indicates significant relationships. Novelty – Subjective norm is related to the image in a substantial way, whereas perceived utility does not affect behaviour. Furthermore, no significant link was found between the moderating variable, ICAIL, and perceived utility, perceived ease of use, subjective norm, or behavioural intention. This study investigated mobile commerce and the use of the ICAIL, which provides information progress for mobile commerce enterprises, service providers, financial institutions, and governments. Type of Paper: Empirical JEL Classification: F1, F10, F19. Keywords: M-commerce; Technology Acceptance Model; Individual-Collectivism at Individual level; Perceived Ease of Use; Perceived Usefulness Reference to this paper should be made as follows: Rahman, N.L.A; Azizan, F.L; Hassan, S; Ibrahim, D. (2022). Exploring Factors Affecting the Mobile Commerce Adoption Among University Students in Malaysia, J. Bus. Econ. Review, 7(3), 160–168. https://doi.org/10.35609/jber.2022.7.3(1)

Usability, Acceptability, and Satisfaction of a Wearable Activity Tracker in Older Adults: Observational Study in a Real-Life Context in Northern Portugal.

BackgroundThe use of activity trackers has significantly increased over the last few years. This technology has the potential to improve the levels of physical activity and health-related behaviors in older adults. However, despite the potential benefits, the rate of adoption remains low among older adults. Therefore, understanding how technology is perceived may potentially offer insight to promote its use.ObjectiveThis study aimed to (1) assess acceptability, usability, and user satisfaction with the Xiaomi Mi Band 2 in Portuguese community-dwelling older adults in a real-world context; (2) explore the mediating effect of the usability on the relationship between user characteristics and satisfaction; and (3) examine the moderating effect of user characteristics on the relationship between usability and user satisfaction.MethodsOlder adults used the Xiaomi Mi Band 2 over 15 days. The user experience was evaluated through the Technology Acceptance Model 3, System Usability Scale, and User Satisfaction Evaluation Questionnaire. An integrated framework for usability and user satisfaction was used to explore user experience. Statistical data analysis included descriptive data analysis, reliability analysis, confirmatory factor analysis, and mediation and moderation analyses.ResultsA sample of 110 older adults with an average age of 68.41 years (SD 3.11) completed the user experience questionnaires. Mean user acceptance was very high—perceived ease of use: 6.45 (SD 0.78); perceptions of external control: 6.74 (SD 0.55); computer anxiety: 6.85 (SD 0.47); and behavioral intention: 6.60 (SD 0.97). The usability was excellent with an average score of 92.70 (SD 10.73), and user satisfaction was classified as a good experience 23.30 (SD 2.40). The mediation analysis confirmed the direct positive effect of usability on satisfaction (β=.530; P<.01) and the direct negative effect of depression on usability (β=–.369; P<.01). Lastly, the indirect effect of usability on user satisfaction was higher in individuals with lower Geriatric Depression Scale levels.ConclusionsFindings demonstrate that the Xiaomi Mi Band 2 is suitable for older adults. Furthermore, the results confirmed usability as a determinant of satisfaction with the technology and extended the existing knowledge about wearable activity trackers in older adults.

Effectiveness of Using the Meeting Systems in Council Chamber

Abstract In response to the development of electronic government (e-Government), the government and the legislative assembly have made organizational changes to serve the general public. Local councils have adopted full digital audiovisual meeting systems to address councilors’ need for political consultation services. In this study, we explore the actual use of meeting systems based on their main functions. We conducted in-depth interviews with eight councilors using questions designed according to 15 external constructs of the technology acceptance model 3 (TAM 3). The study findings indicated that for councilors who have used the system, their “behavioral intention to use” is mostly correlated with “computer self-efficacy” and “perception of external control” followed by “image.” After using the meeting system, the councilors validated the services. The findings reveal that “computer self-efficacy” and “perception of external control” are the two most important subconstructs that positively affect councilors’ use of the meeting system, followed by “perceived enjoyment” and “subjective norm.” This study provides recommendations based on the interviews on how to accommodate the new technology system, used for reference by manufacturers in marketing and enterprises when implementing the meeting system. JEL classification numbers: C52, H11, M15. Keywords: electronic meeting system (EMS), interactive video on demand (IVOD), technology acceptance model (TAM).

Preschool Teachers' Technology Acceptance During the COVID-19: An Adapted Technology Acceptance Model.

Online education has become a major reaction to the COVID-19 epidemic, which requires preschool teachers to quickly adapt to online education and accept educational technology. In this emergency background, research on the preschool teachers’ technology acceptance provides clues to improve preschool teachers’ intention to use educational technology. The Technology Acceptance Model (TAM) is widely used to examine the process of individuals’ technology acceptance in the previous literature. Therefore, this study seeks to examine preschool teachers’ technology acceptance with the adapted TAM and their determinant factors. The proposed model was empirically validated by using survey data from 1,568 preschool teachers during the COVID-19. Results indicate that preschool teachers’ behavioral intention was moderate to high level. Perceived usefulness and perceived ease of use are direct significant predictors of preschool teachers’ behavioral intention. Perceived usefulness is affected by perceived ease of use and job relevance. Computer self-efficacy and perceptions of external control are the positive factors toward perceived ease of use. Our findings present powerful evidence for the applicability of the adapted TAM in a sample of Chinese preschool teachers under emergency circumstances. These results highlighted some potential avenues for interventions aimed at improving preschool teachers’ acceptance toward educational technology.

Understanding university students’ behavioral intention to use Edmodo through the lens of an extended technology acceptance model

AbstractEducational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students’ behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered in an Edmodo supported course. Data were analyzed through partial least squares structural equation modeling. Results highlighted that intention was significantly predicted by its antecedents. More specifically, the attitude was the most important factor, whilst perceived usefulness had a moderate impact on predicting intention. Perceived ease of use predicted perceived usefulness directly and also it influenced intention indirectly through attitude. External antecedents of perceived usefulness and perceived ease of use were all significant. Discussion and implications were drawn based on the results. Practitioner NotesWhat is already known about this topic Understanding why users accept or reject a particular information system is a common research area. Technology acceptance model (TAM) is used to explain individuals’ acceptance and adoption of different technologies. Social Networking Sites (SNSs) have been used to enrich learning. However, the adoption of educational SNS studies is limited. What this paper adds This study is one of the first attempts for employing extended TAM that scrutinizes factors influencing university students’ intention to use Edmodo as an educational SNS and a learning management system (LMS) in teaching and learning environments. External antecedents included in the model (subjective norms, output quality, perceptions of external control, perceived enjoyment, technological complexity, and self‐efficacy) significantly predicted university students’ intention to use Edmodo as an educational SNS and LMS. Major factors driving the intention to use Edmodo were attitude and perceived usefulness. Implications for practice and/or policy Considering that the attitude was found to have the strongest influence on the intention to use Edmodo, instructors may attach prominent importance to foster students’ positive attitudes toward Edmodo use. Instructors may design virtual learning environments with collaborative activities on SNS to increase students’ perceived usefulness. Designers and developers of an educational SNS should design interfaces that should be not only less complex but also more enjoyable.

Factors Influencing the Use of Smartphones for Programing: A Structural Equation Modeling Approach

The ubiquitous application of smartphones and their advanced development have created an opportunity for using them as coding platforms. In this study, we compared between the use of personal computers (PCs) and smartphones to investigate the factors affecting the use of smartphones in programing. The behavioral intentions of smartphone end-users are inspired by the ease of use perception, enjoyment perception, programing anxiety, perception of external control, and smartphone design aesthetics. Although the [Formula: see text] value of the smartphone model was lower than that of the PC model, the end-users’ adoption decisions could have shifted toward accepting the use of smartphones for programing had their decisions been free of enforcement. In this study, design aesthetics and programing anxiety were introduced to Technology Acceptance Model 3 in an Arabic environment. Additionally, the model was creatively applied for guiding practitioners in two situations. First, when organizations are in the quest for emerging technology to replace the legacy technology, they might apply the presented side-by-side comparison of the use of PCs with that of smartphones in programing. Second, at a time when decision makers analyze what might hinder the adoption of a recently introduced technology, the model can be a successful hand tool guiding the top management in identifying technology acceptance interventions, an approach this research revealed. Furthermore, in this paper, the research implications and recommendations are presented for technology practitioners and designers.

Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry

The digitalization of the construction industry has immense potential for dramatically improving the industry’s practices. Concerning current measures in construction project management, the industry is still dependent on traditional construction methods. However, the application of fully automated techniques within the construction industry has not yet been a widespread practice. Thus, this may explain why there is a slow adaption of digital growth within the construction industry and specifically in developing countries. This study is aiming to investigate the acceptance of Building Information Modeling (BIM) and Augmented Reality (AR) integration in the construction industry. To achieve this aim, Technology Acceptance Model 3 (TAM3) was utilized. The scope was narrowed down to four developing counties (Malaysia, Egypt, Saudi Arabia, and Turkey) and a questionnaire survey was developed and distributed between construction professionals in those countries for data collection purposes. Exploratory Factor Analysis (EFA) was used to develop the TAM, and a regression analysis is used to validate it. The developed TAM3 showed that users control over BIM-AR and perception of easiness of use has the highest influence on their perception of the system usefulness, which would positively affect their intention to use the system. Additionally, unlike the findings of the original TAM3, three variables of Image, Perception of External Control, and Voluntariness illustrate new relations which can be considered as a novel outcome. The outcomes of this study can be used to evaluate the acceptance of BIM-AR Integration in the construction industry context, and the developed TAM3 can be used for the development of new BIM-AR applications in developing countries as it can predict the BIM and AR users’ acceptance.

Understanding key factors affecting on hospital electronic health record (EHR) adoption.

Introduction:This study investigated the factors affecting the acceptance of hospital electronic health record (EHR) adoption by users based on Technology Acceptance Model3 (TAM3).Methods:The self-administered TAM3 questionnaire was used for data gathering. Content validity and reliability of the TAM3 questionnaire were measured. The relation between dependent, independent, and mediator variables was analyzed using multiple regression analysis.Results:The results from 224 users indicated that subjective norm, job relevance, output quality, voluntariness, computer experience have significant impacts on perceived usefulness. Also, perceptions of external control and computer anxiety were identified as having significant impacts on perceived ease of use. Perceived usefulness did not have a mediator role between result demonstrability and behavioral intention. Perceived ease of use was not found to be a mediating factor in the relationship between computer self- efficacy and behavioral intention, as well as perceived enjoyment.Conclusions:The findings of the current study, provide valuable scientific evidence for key affecting factors on hospital EHR in Iran as a developing country. Our results showed the main constructs and relationships depicted in the TAM3 were found to be applicable to assess the adoption of hospital EHR.

Analysis Acceptance of Use Internet Banking and Mobile Banking, Case Study: Standart Application in XYZ Company

Financial Technology (Fintech) is a technology that connects financial sector and user. Fintech is solution for problem that exist in society that is user those who live far from city to be able access transact financially by making non-cash transactions. This non-cash transactions are important component in world economy and also one of the program that Bank Indonesia wants to improve. This study will be analysed what factors that influence customer behavior in acceptance of using Internet Banking and Mobile banking for transactions using the Technology Acceptance Model. In this study, the author takes a case study at standart Internet Banking and Mobile Banking developed by XYZ Company and the scope population of the sample collection is one of the Banks in Bandung that has used the application developed by XYZ Company. This research uses Partial Least Square Structural Equation Modeling (PLS-SEM) method in analyzing. The results obtained are the most significant factors on customer acceptance use of Internet Banking and Mobile Banking applications for transactions is the subjective norm, experience, result demonstrability, perceived enjoyment, computer playfulness, computer self-efficacy, perception of external control, perceived usefulness, perceived ease of use, behavioral intention, dan use behavior

ANALISIS KEPUASAN KUALITAS LAYANAN SISTEM INFORMASI AKADEMIK MENGGUNAKAN METODE TAM III

This research aimed to comprehend the effect of variables external consisting of experience, subjective norm, perceptions, job relevance, output quality and result demonstrability, computer self efficacy, perceptions of external control, computer anxiety, computer playfulness, perceived enjoyment, and objective usability for perceived usefulness, perceived easy of use, service quality, behavioral intention, use behavior and user satisfaction of academic information system. The population of this students of AMIK Parna Raya Manado in academic year of 2013 and 2014. By using Slovin method, it was obtained the rate of the sample amount of 120 students. Data collection techniques using questionnaires and the model used Technology Acceptance Model (TAM III). It had been used Structural Equation Model (SEM) for examining the relation between those variables. The result of showed that the use TAM III method of significantly affected of the service quality satisfaction of academic information system. Keywords : Technology Acceptance Model, Structural Equation Model

How Web Comments Affect Perceptions of Political Interviews and Journalistic Control

People are often exposed to polarized viewpoints in web comment sections. Inspired by attribution theory and framing theory, this article tests the effects of comments that frame a politician or a journalist as triggering evasiveness in a media interview. We compare attributions ascribing deceptiveness to the politician versus external attributions implicating the media situation. In the first experiment, comment sections affect perceptions of evasiveness, credibility of the politician relative to the journalist, and people’s attitudes toward the politician and journalist. A second study replicates, and voters type comments which largely reflect the comments to which they were exposed. Also, perceptions of external control by the journalist affect perceptions of the politician. The article extends attribution theory and framing theory via commonly encountered online exposure which affects people’s perceptions of politicians as deceptive relative to their journalistic arbiters.

Acceptance of text-mining systems: The signaling role of information quality

The popularity of the big data domain has boosted corporate interest in collecting and storing tremendous amounts of consumers’ textual information. However, decision makers are often overwhelmed by the abundance of information, and the usage of text mining (TM) tools is still at its infancy. This study validates an extended technology acceptance model integrating information quality (IQ) and top management support. Results confirm that IQ influences behavioral intentions and TM tools usage, through perceptions of external control, perceived ease of use, and perceived usefulness; top management support also has a key role in determining the usage of TM tools.

Developing New Technology Acceptance Model With Multi-Criteria Decision Technique: An Implementation Study

This study aims to develop and implement a new Technology Acceptance Model (TAM) to verify and explain users&amp;rsquo; acceptance of SAP software. The structural equation model (SEM) technique is used with the AMOS program for the adoption process. General structural model, which includes Experience, Voluntariness, Perceived Enjoyment, Perceptions of External Control, Computer Self Efficacy, Output Quality and Job Relevance, is developed with Analytical Hierarchy Method (AHP) and Pareto Analysis by deciding variables from previously original developed models which are called TAM1, TAM2 and TAM3. New TAM is tested to a sample of 384 SAP users in a company that serves in metal production. Results illustrates that new TAM is an appropriate tool to explain and understand users&amp;rsquo; acceptance of SAP besides of being flexible and easily implemented. SAP users&amp;rsquo; job relevance and their perceptions of external control are the most important variables that affect perceived usefulness and perceived ease of use in the model.

Investigating the Moderating Effects of Self-Efficacy, Age and Gender in the Context of Nursing Mobile Decision Support Systems Adoption: A Developing Country Perspective

&lt;p&gt;Health professionals are increasingly using and relying on mobile applications to support their decisions in Jordan. Nursing staff have the opportunity to use a wide variety of already existed mobile applications to support their tasks when providing health services to both inpatients and outpatients.&lt;/p&gt;&lt;p&gt;This study attempted to investigate the key factors that affect adoption of mobile applications that support nursing staff health decision making in Jordan. These key factors include perceived usefulness, perceived ease of use, subjective norms, job relevance, perceptions of external control. In addition, this study intended to investigate the moderating effect of self-efficacy, age and gender.&lt;/p&gt;The study validated the proposed model using data collected from 241 nursing staff in three public and private hospitals in Jordan. Results show that perceived usefulness and perceived ease of use are the most important factors in determining individual’s behavioral intention to adopt the mobile application in their decision support processes.