scholarly journals Artificial Intelligence in Human Resources Information Systems: Investigating its Trust and Adoption Determinants

2020 ◽  
Vol 5 (1) ◽  
pp. 749-765
Author(s):  
Bilal Ibrahim Hmoud ◽  
László Várallyai
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Technological Readiness ◽  
Performance Expectancy ◽  
Human Resources Information Systems ◽  
And Performance ◽  
Behavioral Intention To Use

With the rapidly emerging trend of employing Artificial Intelligence technologies within modern economics. This study is an attempt to fill the research gap associated with the factors that have influence with the adoption of artificial intelligence in human resources information systems on HR-leaders intention to use it. It empirically investigates the influences that trust, technological readiness, facilitating condition and performance expectancy on HR-professional’s behavioral intention to use AI in HRM. Besides, examine the moderating effect of age and experience on the proposed associations. Data were collected from by online questionnaire from 185 HR managers. A structural framework was introduced to test the relationship between study latent variables. Result exhibited that trust and performance expectancy has a significant influence on HR-professionals behavioral intention to use AI-HRIS. Trust and technological readiness showed a significant influence on HR-professionals performance expectancy of using AI-HRIS. While facilitating condition, organizational size and technological readiness did not show a significant influence on HR-professionals behavioral intention toward using AI-HRIS. Lastly, Age and Experience did not have a moderating effect on trust and performance expectancy association with the behavioral intention toward using AI-HRIS. The findings of this study contribute to the theory development of information technology diffusion in HRM.

scholarly journals Investigating the Determinants of Students’ Intention to Use Business Simulation Games

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
Author(s):  
Yu-Yin Wang ◽  
Yi-Shun Wang ◽  
Shi-En Jian
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Intention To Use ◽  
Business Simulation ◽  
Simulation Games ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

scholarly journals The Determinants of Use and Acceptance of Mobile Assisted Language Learning: The Case of EFL Students in Morocco

2019 ◽  
Author(s):  
Nabil Morchid
Keyword(s):  
Language Learning ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teacher Feedback ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Mobile Assisted Language Learning ◽  
Effort Expectancy ◽  
Behavioral Intention To Use ◽  
The Impact

The intent of this paper is to research the factors that determine students’ acceptance of mobile assisted language learning (MALL) in Morocco. This study emphasizes the inclusive character of the Unified Theory of Acceptance and Use of Technology (UTAUT). After careful assessment of the multiple relationships within UTAUT, a modified version of the theory was hypothesized then researched for the impact it has on the English as Foreign Language (EFL) context in Morocco. The technology acceptance model in this paper emphasized four directions connecting performance expectancy, effort expectancy, teacher feedback and compatibility to behavioral intention, also referred to as the determinants of behavioral intention to use MALL. For the purpose of this study, a technology enhanced environment was created. A total number of 156 EFL common core students were brought to interact on a WhatsApp-based platform by means of text-messaging. The WhatsApp treatment was optimized to synchronize with the institutionalized character of the teaching of English in Moroccan public schools. The questionnaire method was used for data collection. The data were screened for missingness, normality and outliers. Then, multiple reliability and validity tests were performed to substantiate the legitimacy of the dataset. Structural equation modelling (SEM) was used in the assessment of the measurement model and the structural model. The outputs of structural modelling corroborated the hypothesized directions connecting teacher feedback and compatibility to behavioral intention to use MALL while there was lack of support for the relationships linking performance expectancy and effort expectancy to behavioral intention to use MALL.

scholarly journals Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted UTAUT Model: Secondary Data Analysis (Preprint)

2021 ◽  
Author(s):  
Consuela Cheriece Yousef ◽  
Teresa M. Salgado ◽  
Keisha Burnett ◽  
Laura E McClelland ◽  
Abin Thomas ◽  
...  
Keyword(s):  
Health Care ◽  
Behavioral Intention ◽  
Positive Attitude ◽  
Personal Health ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Centered Care ◽  
Behavioral Intention To Use ◽  
Health Applications

BACKGROUND With the rise in the use of information and communication technologies in health care, there has been a push for patients to accept more responsibility for their health and well-being using eHealth tools such as personal health records (PHRs). PHRs support patient-centered care and patient engagement. To support the achievement of the Kingdom of Saudi Arabia’s Vision 2030 ambitions, the National Transformation program provides a framework to use PHRs in meeting the triple aim for health care – increased access, reduced cost, and improved quality of care – and to provide patient- and person-centered care. However, there has been limited research on PHR uptake within the country. OBJECTIVE The aim of this study was to identify predictors of patient intention to utilize the Ministry of National Guard-Health Affairs (MNG-HA) PHR (MNGHA Care) using an adapted model of the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework. METHODS This cross-sectional study utilized a survey developed based on the UTAUT to measure behavioral intention to use MNGHA Care among adults visiting MNG-HA facilities in Riyadh, Jeddah, Dammam, Madinah, Al Ahsa, and Qassim. The main theory constructs performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude toward using the PHR were collected as independent variables. Age, gender, experience with health applications, and health status were tested as moderators between the main theory constructs and behavioral intention using hierarchical multiple regression. RESULTS Of the eligible population, a total of 261 adult patients were included in the analysis with a mean age of 35.07 years (± 9.61), male (n=132, 50.6%), university-educated (n=118, 45.2%), and at least one chronic medical condition (n=139, 53.3%). The model explained 48.9% of the variance in behavioral intention to use the PHR (P=.377). Performance expectancy, effort expectancy, and positive attitude were significantly associated with behavioral intention to use the PHR (P<.05). Prior experience with health applications moderated the relationship between social influence and behavioral intention to use the PHR (P=.043). CONCLUSIONS This research contributes to the existing literature on PHR adoption broadly as well as in the context of the Kingdom of Saudi Arabia. Understanding which factors are associated with patient adoption of PHRs can guide future development and support the country’s aim of transforming the health care system. Similar to other studies on PHR adoption, performance expectancy, effort expectancy, and positive attitude are important factors, and practical consideration should be given to how support these areas.

Smartphone Alcohol Use Disorder Recovery Apps: an Survey of Behavioral Intention to Use using UTAUT (Preprint)

2021 ◽  
Author(s):  
Rijuta Menon ◽  
Julien Meyer ◽  
Pria Nippak ◽  
Housne Begum
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Alcohol Use Disorder ◽  
Survey Study ◽  
P Value ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

BACKGROUND Alcohol Use Disorder (AUD) carries a huge health and economic cost to society. Effective interventions exist but numerous challenges limit their adoption, especially in a pandemic context. AUD recovery apps (AUDRA) have emerged as a potential complement to in-person interventions. They are easy to access and show promising results in terms of efficacy. However, they rely on individual adoption decision and remain underused. OBJECTIVE The aim of this survey study is to explore the beliefs that determine the intention to use AUDRA. METHODS We conducted a cross-sectional survey study of people suffering from AUD. We used the Unified Theory of Acceptance and Use of Technology, which predicts use and behavioral intention to use based on performance expectancy, effort expectancy, social influence and facilitating conditions. Participants were recruited directly from two sources: first, respondents at addiction treatment facilities in Ontario, Canada were contacted in person and filled a paper form; second, members from AUD recovery support groups on social media were contacted and invited to fill an online sruvey. The survey was conducted between October 2019 and June 2020. RESULTS The final sample was comprised of 159 participants (124 online and 35 paper based) self-identifying somewhat or very much with AUD. Most participants (85.5%) were aware of AUDRA and those participants scored higher on performance expectancy, effort expectancy and social influence. Overall, the model explains 35.4% of the variance in behavioral intention to use AUDRA and 11.1% of the variance in use. Social influence (p-value 0.314), especially for women (p-value 0.227) and effort expectancy (p value 0.247) were key antecedents of behavioral intention. Facilitating conditions was not significant overall but was moderated by age (p value 0.231) suggesting that it matters for older participants. Performance expectancy did not predict behavioral intention, which is unlike many other technologies but confirms other findings with mhealth. Open-ended questions suggest that privacy concerns may play a significant role for AUDRA. CONCLUSIONS This study suggests that unlike many other technologies, the adoption of AUDRA is not mainly determined by utilitarian factors such as performance expectancy. Rather, effort expectancy and social influence play a key role in determining the intention to use AUDRA.

scholarly journals Analysis of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach

2020 ◽  
Author(s):  
Ramllah . ◽  
Ahmad Nurkhin
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Learning Intention ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use ◽  
Descriptive Statistical Analysis

The purpose of this study isto analyze the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creadibility, and anxiety on e-learning behavioral intention to use who are moderated by experience and voluntariness of use.The study population was 215 students who used e-learning in the Accounting Department of SMK N 1 Karanganyar. The sample selection using Slovin method with an error rate of 5% and sampling area technique obtained by respondents as many as 140 students. The technique of collecting data using a questionnaire. Data analysis techniques used descriptive statistical analysis and SEM-PLS. Data analysis tool using WarpPLS 5.0.The results of the descriptive statistical analysis show that the behavioral intention to use e-learning, performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creativity, anxiety, experience and voluntariness of use are in the sufficient category. Hypothesis test results show the influence of performance expectancy on e-learning behavioral intention to use, effort expectancy does not affect the behavioral e-learning intention to use, social influence has an effect on behavioral e-learning intention to use, facilitating conditions have no effect on behavioral intention to Using e-learning, perceived creativity does not affect e-learning behavior, anxiety influences the behavioral intention to use e-learning, voluntary moderating negative social influences the behavioral e-learning intention to use, experience moderates the effect of effort expectancy on The behavior of e-learning intention to use, experience does not moderate the influence of social influence on the behavioral e-learning intention to use, experience does not moderate the effect of facilitating conditions on e-learning behavioral intention to use e-learning the conclusion of this study states that of the ten hypotheses proposed there are five types of hypotheses accepted. Keywords: E-learning, Behavioral Intention, UTAUT.

scholarly journals Adoption of Video Learning SOPs: Evidence from the Financial Sector with UTAUT Perspective

2021 ◽  
Vol 3 (2) ◽  
pp. 178-191
Author(s):  
Maya Anggraini ◽  
Prio Utomo ◽  
Friska Natalia
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Financial Sector ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Performance Expectancy ◽  
Perceived Interactivity ◽  
Behavioral Intention To Use

As a highly regulated sectors, banks should be able to manage various risks by implementing Good Corporate Governance through detailed Standard Operating Procedure (SOP). Currently, financial sectors in Indonesia are dominated by Millennial’s workforce whom prefer digital way of communication rather than conventional reading. Thus, one multinational bank in Indonesia implements Video Learning SOPs to accommodate Millennials. The purpose of this study is to understand the adoption of Video Learning SOPs in financial sector using UTAUT. The study is quantitative research with availability sampling. 1077 respondents gathered using online questionnaire and analyzed using Partial-Least Square Structural Equation Model (PLS-SEM). Perceived interactivity was included as additional factors and the moderation of Age also analyzed. The results showed that there was significant relation between Performance Expectancy, Effort Expectancy, Social Influence, and Perceived Interactivity with Behavioral Intention to use Video Learning SOPs whereas Perceived Interactivity and Performance Expectancy also significantly impact it. It also revealed that there was positive but insignificant moderating effect of Age on the Behavioral Intention to use Video Learning SOPs. This research is among the first that reveals significant factors that impacting the adoption of Video Learning SOPs in a highly regulated industry.

scholarly journals Using Blended Project-Based Learning for Students’ Behavioral Intention to Use and Academic Achievement in Higher Education

2021 ◽  
Vol 11 (5) ◽  
pp. 207
Author(s):  
Mahdi Mohammed Alamri
Keyword(s):  
Academic Achievement ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Project Based Learning ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Point ◽  
Perceived Enjoyment ◽  
Behavioral Intention To Use

This research focused on the potential of project-based learning and blended learning, which offer a distinctive cross-point in regard to building 21st-century skills in the classroom. Specifically, this research hypothesized that using the BPBL approach has an effect on perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. To achieve the research goal, we employed a questionnaire as the main data collection method and dispensed it to 80 students, all of whom use the BPBL approach. The findings were obtained via a quantitative research method, structural equation modeling (SEM). We found a significant relationship between the BPBL approach and perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. Therefore, we believe that the BPBL approach enhances students’ behavioral intention to use and academic achievement in a blended project-based learning approach and allows sharing knowledge, information, and discussions. Thus, it is recommended that students use the BPBL approach for educational purposes, and they should also be encouraged to do so through their learning at university level.

An Islamic Bank's Customers' Approach to Gamify Mobile Banking

2021 ◽  
Vol 11 (4) ◽  
pp. 23-40
Author(s):  
Aysegul Sagkaya Gungor ◽  
Yusuf Ihsan Kurt
Keyword(s):  
Mobile Banking ◽  
Islamic Banks ◽  
Banking Services ◽  
Performance Expectancy ◽  
Promising Tool ◽  
And Performance ◽  
And Gender ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use ◽  
Positive Effect

Making customers adopt mobile banking is a great challenge for banks, and especially for Islamic banks. This study investigates the factors that could predict the customers' use intention of the mobile banking services of Islamic banks by applying the conceptual model of UTAUT2. The model was further extended with gamification, as a promising tool to ease the adoption, while discussing the moderating effect of age and gender for all variables. The applied questionnaire to collect data has resulted in 205 respondents. The findings implied that facilitating conditions, habit, price value, and performance expectancy are effective variables in Islamic banking customers' behavioral intention to use m-banking. Gamification has a positive effect only when customers are younger than 30. It is further discovered that only the customers 30 and older had performance expectancy. Regarding gender differences, the only finding is the men's greater interest in the price value.

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