Personal Innovativeness In IT Research Articles

The determinants of Gen Z's metaverse adoption decisions in higher education: Integrating UTAUT2 with personal innovativeness in IT

The determinants of Gen Z's metaverse adoption decisions in higher education: Integrating UTAUT2 with personal innovativeness in IT

“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”

Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students’ adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students’ behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students’ behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students’ metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor’s role and enable them to plan their future strategies.

Exploring the Factors of Online Social Networks (OSNs) on Individual Investors’ Capital Market Investment Decision: An Integrated Approach

Online social networks (OSNs) are a terrifically emerging platform for information dissemination around the world. Like other settings, acceptance and adoption of OSNs among the individual capital market investors are extensive. The study developed a conceptual model for behavioural finance integrating a technology acceptance model (TAM) and valence framework from the information systems and marketing disciplines, respectively. The integrated model added some persuasive constructs from social capital and diffusion innovation theory with a view to explore the key factors swaying investors’ intention to adopt and use the OSN’s services. By using an online and offline structured questionnaire, 510 data were collected from individual capital market investors in Bangladesh. Structural Equation Modelling (SEM) was used for data analysis. The study determined that the proposed integrated model with additional constructs outperformed other models. Perceived usefulness (PU), perceived enjoyment (PE), trust and personal innovativeness in IT (PIIT) had a substantial sway on the investor’s intention to use OSNs. Hedonic value is more robust predictor of intention to use OSNs than utilitarian value. Intention to use properly mediated the relationships and had strong significant impact on investor’s investment decision. But perceived ease of use (PEOU) and perceived risk had no direct significant effect on intention to use. PEOU had significant impact on intention to use through PU and PE. Gender moderated the relationships of different constructs with the intention to use OSNs for investment decisions in the capital market. It contributes knowledge by including the integration of different models in stock market perspectives and the inclusion of technological aspect in the behavioural finance literature. The findings of the study will also succor different firms and regulatory authorities to adopt OSNs as an information dissemination platform.

DIFFERENCES IN CHEMISTRY TEACHERS’ ACCEPTANCE OF EDUCATIONAL SOFTWARE ACCORDING TO THEIR USER TYPE: AN APPLICATION OF EXTENDED UTAUT MODEL

In this research, a model to determine chemistry teachers’ acceptance of educational software in secondary education is proposed. The model extends the unified theory of acceptance and use of technology (UTAUT) model. Data were collected from 556 Czech chemistry teachers and analysed using structural equation modelling. With respect to the significant differences among technology users and various types of nonusers, the research model for each user group was tested too. The results showed significant differences in the individual models for each group of technology user. In the model for ‘current users’ of educational software, the influence of facilitating conditions on current users’ use of educational software behavioural intention is stressed. In addition, non-planning users’ behavioural intention seems to be influenced by their personal innovativeness in IT, social influence, and performance expectancy. Behavioural intention and attitude towards using educational software affect each of the tested models, with attitudes being an even stronger predictor of educational software usage than behavioural intention. The models contribute to the understanding of teachers’ acceptance of educational software, which can be utilized in both pre- and in-service teacher training, considering technology mastery a necessary teacher competence. Keywords: chemistry teachers’ motivation, educational software use, secondary education, technology acceptance

Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person-Technology-Health Framework.

Although numerous studies have been conducted to understand the antecedents of usage of mobile health (mHealth) services, most of them solely focus on characteristics of mHealth services themselves but neglect taking users’ psychological and health-related factors into consideration. Besides, the comprehensive understanding of what influences users’ routine use intentions regarding mHealth services is lacking. Therefore, this study proposes a person–technology–health framework that underlines how personal factors (e.g., personal innovativeness in IT), technological factors (e.g., trust), and health factors (e.g., perceived health severity) jointly influence individuals’ routine use intentions regarding mHealth services. The proposed research model and related hypotheses were tested based on survey data from 270 respondents. The results indicate that personal innovativeness in IT, trust, and perceived health severity are important for enhancing routine use intention of mHealth services. Specifically, in situations of high perceived health severity, trust relates less positively to routine use intention than personal innovativeness in IT. In contrast, in situations of low perceived health severity, trust relates more positively to routine use intention than personal innovativeness in IT. The research findings extend the existing literature on routine use intention related to mHealth services and provide significant implications for practitioners.

Factors Affecting the Behavior to Use Healthcare Application on Smartphones in Vietnam during and After Covid-19 Pandemic

This study proposes a theoretical model based on Theory of Planned Behavior (TPB) to help understand the intention as well as the behavior of the consumer which leads to the further decision of utilizing healthcare applications on smartphones in Vietnam. The testing hypothesis process was made on the basis of survey data collected from consumers who experienced smartphone healthcare applications mainly in Hanoi and Ho Chi Minh - the 2 biggest cities in Vietnam. During the study, besides five original variables from the TPB model, the research team attached two new independent variables namely Personal Innovativeness in IT and Trust, which represent the main drives leading to the upcoming trend of healthcare application usage. The result indicates that Trust, Attitude and Perceived Behavioral Control (which is formed by Attitude and Perceived Behavioral Control after measuring data validity), Subjective Norm, Personal Innovativeness in IT are the four factors that have a tremendously positive effect on both the selection and practice in smartphone healthcare applications. The research not only contributes to the literature by investigating the influence of the compatibilities on consumption intention and behavior but its findings also provide valuable insights for government and enterprises to have suitable strategies to reach more users and improve their experience.

Factors Influencing the Adoption of E-Learning by University Students in Sri Lanka: Application of UTAUT-3 Model during Covid-19 Pandemic

Universities around the world are entering 'emergency mode' during the COVID-19 pandemic, radically transforming education by switching towards online learning and other distance-based education methods. An unintended consequence of these emerging changes is that many students who are either not willing to use e-learning or have no adequate skills to learn through electronic devices or have no resources to access them are marginalized. Considering the timeliness and the relevance of the phenomenon, this study aims to identify the factors influencing the adoption of e-learning by Sri Lankan university students. The relevant data were collected through a self-administered questionnaire which was distributed among 191 university students based on the convenience sampling method. This study found out positive impacts of performance expectancy, facilitating conditions, habit, price-value, and personal innovativeness in IT on to use elearning. Moreover, the intention has a positive impact on the adoption of elearning platforms. This research fills the gap in the existing literature and provides valuable insights to the course administrators in universities in Sri Lanka to better manage e-learning systems.

An Empirical Study on Geotagging Technology Adoption Among the Social Networking Sites (SNSs) Users: The Moderating Effect of Geotagg’s Use Frequency

Due to the outstanding growth of geotagging technology usage among the social networking sites (SNSs) users, research is needed to better understand how SNSs users accept and use this technology. This study explores the factors that affect the adoption of geotagging technology among the SNSs users integrating personal innovativeness in IT (PIIT) with UTAUT. By using structured questionnaire survey, 390 data were collected. Statistical analysis techniques, such as SPSS AMOS and partial least square method, based on structural equation modelling (SEM), were used to analyse the collected data. Integrated UTAUT fulfills all criterion of model fitness. Interestingly, PIIT properly explains the personal characteristics of SNSs users in UTAUT framework. PIIT has impact on all UTAUT exogenous constructs except effort expectancy as well as on behavioural intention. Two new paths among the predictor variables (e.g. facilitating condition to effort expectancy and effort expectancy to performance expectancy) are statistically significant. All constructs of UTAUT except effort expectancy have substantial positive effect on SNSs users’ intention to adopt geotagging technology. Geotagg’s use frequency strongly moderated the different relationships in the integrated UTAUT model. The study will succor different tourism firms, restaurants and SNSs service providers to maximise the adoption of geotagging technology use. It contributes to knowledge by adding new moderator, new paths as well as integrating personal characteristics (e.g. PIIT) in UTAUT.

The research of factors influencing advanced medical robot use

To understand the factors influencing medical robot use, this study developed a conceptual model and hypothesized that personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT positively affect attitude toward medical robots, which in turn facilitates medical robot intention and medical robot use. By analyzing data from 276 surveys from Taiwan’s respondents who have employed medical robots, we demonstrate a positive effect of personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT on attitude toward medical robots. In addition, attitude toward medical robots has a positive effect on medical robot intention and medical robot use. The main implications of study for medical robots firms are to conduct business activities to stress perceived usefulness of IT and perceived ease of use of IT, they can use Ads to describe the functions and advantages to draw user’ attitude toward medical robots.

Understanding adaptive information seeking in the context of microblogging from the cognitive switching perspective

Drawing on adaptive structuration theory and cognitive switching theory, this study develops a research model exploring the effects of cognitive switching stimuli on adaptive information seeking and the moderating effects of information need and personal innovativeness in information technologies. Data collected from microblogging users were used to test the model. The findings suggest that other people’s use, discrepancies, and deliberate initiatives each have significant positive effects on trying new features to seek information. Other people’s use which essentially reflects the nature of learning from observing other people is the most important determinant. Meanwhile, information need and personal innovativeness in IT each positively moderate the effect of other people’s use on trying new features to seek information. This study contributes to theory by examining adaptive information seeking in the context of microblogging which has been largely overlooked by prior literature. The findings and more implications for theory and practice are discussed.

The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments

PurposeThis study aims to assess the adequacy of unified theory of acceptance and use of technology-3 (UTAUT-3) model in understanding academician’s adoption to e-Learning, with intent of getting more academicians to accept e-Learning in the Sri Lankan higher education context. Limited validity of the model in an educational context led to this study. The emergence of internet-based technology has changed the way people live, work and study. Technological platforms such as e-Learning have advanced educational systems by enhancing learner experience while benefiting teachers and educators in many ways.Design/methodology/approachThe study used a deductive approach and quantitative methodology, in which a theoretical model was tested using hypotheses to assess causality between study variables. The simple random sampling was used to collect data using a self-administered questionnaire that was sent via Google Forms to targeted respondents. The final sample consisted of 441 academicians who responded to factors of e-Learning adoption on a seven-point Likert scale. Structured equation modelling was used for data analysis.FindingsIt was revealed that performance expectancy, effort expectancy, facilitating conditions, habit and hedonic motivation were significant influences of academician’s adoption to e-Learning. However, social influence and personal innovativeness in IT were not significant predictors of e-Learning.Research limitations/implicationsDue to the scope of the study, the factors that determine e-Learning adoption were limited to UTAUT-3 variables. Additionally, the concept was tested from only an academician’s perspective using quantitative methodology.Practical implicationsThe findings are useful to higher education institute (HEI) administration, instructors and teaching assistants, policymakers to design and implement their online strategy as well as to make appropriate decisions in getting e-Learning accepted among a higher number of local HEI academicians. It is recommended for the decision-makers in the HEIs to consider the effect of the above findings in setting plans for higher e-Learning adoption. For instance, staff training catering to specific departmental needs, continuous awareness building, periodic reviewal of e-Learning system, e-Learning champions, introduction of policies and guidelines to encourage trial usage would be useful in this aspect.Social implicationsSuccessful use of e-Learning would help HEIs to overcome certain issues that exist in a traditional classroom. e-Learning facilitates education delivery beyond time and space while supporting enhanced performance monitoring and skill development which ultimately improve quality of output and institutional performance.Originality/valueThe study examined the adequacy of UTAUT-3 in understanding the adoptability to e-Learning. Second, it recognised a set of factors that affect the academic staff acceptance of e-Learning in higher education environments. A useful framework is provided to the HEI’s administration to successfully implement e-Learning systems. This study contributes to the growing body of information system literature by examining the validity of UTAUT-3 framework in the use and acceptance of educational technology in a developing country.

Technostress and the hierarchical levels of personality: a two-wave study with multiple data samples

ABSTRACTEven though IS use has numerous benefits for users and organisations, such as improved user performance and greater productivity, an increasing number of users experience technostress. Since technostress can result in decreased user well-being, it is important to understand what leads users to perceive it. Recent technostress research points to the relationship between personality traits and the perception of technostress as a research gap. Given that personality traits are structured hierarchically, we study how and which levels of user personality influence the perception of technostress. In developing our research model, we select personality traits from the three hierarchical levels of personality: neuroticism, personal innovativeness in IT (PIIT), and IT mindfulness. The results of 2 two-wave studies analysing data collected in an organisational setting (sample 1) and through mTurk (sample 2) reveal that all three personality traits influence the perception of technostress, with IT mindfulness having the strongest impact. This study contributes by revealing that user personality and, primarily, IT mindfulness influence the perception of technostress. Additionally, our findings reveal an inverted u-curved influence of techno-stressors on user performance, deepening our understanding of how the perception of technostress influences user reactions.

The Viability of UTAUT-3 in Understanding the Lecturers Acceptance and Use of Virtual Learning Environments

This research aims to assess the viability of Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) in understanding lecturer's acceptance of virtual learning environments (VLE) in Sri Lankan state universities. The study employed quantitative methodology, random sampling technique to obtain 441 responses. It was found that performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), habit (HB) and hedonic motivation (HM) were significant influences of lecturer's acceptance of VLE. However, Social Influence and Personal Innovativeness in IT (PI) were not significant determinants of VLE acceptance in the study context. The study recognised a set of factors that affect the academic staff acceptance of VLE in the state university context. Finally, this research contributes to the growing body of IS literature by examining the validity of UTAUT3 framework in the use and acceptance of educational technology in a developing country.

Looking forward: The role of hope in information system continuance

Extant studies predict continuance intention primarily from a hindsight perspective, and most existing theories cannot adequately explain the puzzling phenomenon that users sometimes continue to use an information system despite low satisfaction. To address this gap, this paper argues that it is necessary to incorporate forward-looking considerations into information system continuance models, especially for rapidly evolving technologies such as mobile applications. Based on the appraisal theory of emotions, this study specifically focuses on the role of hope in the formation of continuance intention. Empirical results based on a questionnaire survey of mobile app users show that hope can exert significant influence on continuance intention as well as exploratory use, controlling for the effects of previous usage patterns. Moreover, the positive impact of hope on continuance intention is stronger when the degree of personal innovativeness in IT is low, and vice versa. Further, confirmation and involvement are identified as positive antecedents of hope with the former exhibiting a stronger influence. Theoretical and managerial implications of this study are discussed.

Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)

Compared to the booming industry of AIMDSS, the usage of AIMDSS among healthcare professionals is relatively low in the hospital. Thus, a research on the acceptance and adoption intention of AIMDSS by health professionals is imperative. In this study, an integration of Unified theory of user acceptance of technology and trust theory is proposed for exploring the adoption of AIMDSS. Besides, two groups of additional factors, related to AIMDSS (task complexity, technology characteristics, and perceived substitution crisis) and health professionals’ characteristics (propensity to trust and personal innovativeness in IT) are considered in the integrated model. The data set of proposed research model is collected through paper survey and Internet survey in China. The empirical examination demonstrates a high predictive power of this proposed model in explaining AIMDSS adoption. Finally, the theoretical contribution and practical implications of this research are discussed.

Factors Influencing Students’ Major and Career Selection in Systems Development: An Empirical Study

ABSTRACTSystems development is an academic major in many information systems (IS) programs. Attracting students who are interested in systems development is important to increasing IS enrollment. The purpose of this study aims to empirically investigate which factors influence students’ decisions to select systems development as a major and future career. This research makes three contributions to IS research and education. First, the research findings extend previous research associating outcome expectations and job availability with attitudes toward systems development. IS educators can use these findings to create better recruiting strategies and to improve the IS curriculum. Second, the findings connect academic-major choice with career choice. The findings indicate that attitudes toward systems development and personal innovativeness in IT (PIIT) positively influence students’ intentions to pursue a career as a systems developer. Third, this research paves a foundation for further investigation into systems development behavior and performance in the workplace.

An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern.

BackgroundmHealth has become a valuable tool for providing health care services in developing countries. Despite the potential benefits of mHealth, its adoption remains a very challenge in developing countries like Bangladesh. The aim of this study is to investigate the factors that affect the adoption of mHealth services in Bangladesh using Extended Technology Acceptance Model (TAM).MethodsData were collected from over 250 respondents in Dhaka, Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based on the Structural Equation Modeling (SEM).ResultsThe study found that perceived ease of use, perceived usefulness and subjective norm (p < 0.05) had significant positive impact on the intention to adopt mHealth services. Surprisingly, the effects of personal innovativeness in IT (p > 0.05) on mHealth adoption were insignificant. This study also revealed that gender was strongly associated with the adoption and use of mHealth in developing countries.ConclusionsThe findings of this study can be used by government, policy makers, and mobile phone Company to maximize the acceptance of mHealth services in Bangladesh. The paper concludes with a discussion of research results and draws several implications for future research.

Unraveling the Mystery of New Technology Use: An Investigation into the Interplay of Desire for Control, Computer Self-efficacy, and Personal Innovativeness

In this paper, we examine how intrinsically motivated competence and autonomy (two basic psychological needs derived from self-determination theory) in concert with personal innovativeness in IT motivate individuals to try new information technologies. In a study with 202 participants we found 1) competence, operationalized as general computer self-efficacy (GCSE), and 2) autonomy, operationalized as desire for control over information technology (DCIT), to positively influence individuals’ intention to use new or unfamiliar technologies. Further, we hypothesize and find evidence of an interaction effect that suggests there may be a tradeoff between these constructs. That is, individuals may be inclined to use new technologies because they perceive themselves as having high levels of ability or because they have high levels of desire; they are either competence-driven or desire-driven users. Therefore, correctly identifying potential users into the appropriate user category and providing the necessary training or control mechanisms will likely increase an individual’s intention to try new and innovative IT products.

개인의 특성이 정보시스템 성공에 미치는 조절효과분석

Purpose: This study aims to analyze the success factors of information systems and the moderating effect of individual factors in mandatory environment. Methods: In order to test the model, a questionnaire survey is delivered from salespersons of an insurance company in Seoul, Korea. 200 questionnaires are finally analyzed. Structural Equation Modeling (SEM) is adopted to analyze the data and Smart PLS 2.0 is used for examining the moderator effect. Results: The extended model proposed in this paper adopted individual factors and examined their moderator effect among constructs. An empirical test is carried out accordingly in order to test the model proposed in this paper. The results reveal that individual factors (i.e. Computer Self-Efficacy, Anxiety, Personal Innovativeness in IT) have a significant moderating effect on individual performance in the environment of mandatory information system usage. Conclusion: This paper extended the research field of information system success model to information systems in mandatory environment regarding differences of individual factors.

An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology

Understanding the drivers of technology adoption remains an important organizational problem. Our research focused on a personality trait that is relevant to the adoption of technological innovation: personal innovativeness in IT (PIIT). We examined the causal pathways by which this trait affects behavioral intention by testing three alternative models based on innovation diffusion theory, the theory of planned behavior, and an integrative perspective that combines them. Data were collected from 196 hospital administrators in South Korea. The target innovation was an e-commerce purchasing system. Testing across all three models resulted in complete mediation, indicating that PIIT is a strong predictor of intended use of IT but it exerts its influence by altering the mediators. Our integrative perspective provides a more complete account of the causal mechanisms underlying the relationships as well as unique insights that cannot be obtained with a single theory driven model.