Determinants of the intention to use Internet/WWW at work: a confirmatory study

Exploring factors affecting the adoption and continuance usage of drone in healthcare: The role of the environment

Drone technologies and healthcare delivery have attracted scholarly attention over the years. Studies have acknowledged the positive impact of the adoption and usage of drone technologies for healthcare delivery. We argue however that, knowledge is lacking on the role of the environment in drone technologies adoption, usage and continuance usage. An examination of 330 health facilities that engage in the use of drone services from Zipline Ghana showed that the environment inversely moderates the relationship between actual usage and intention to continue usage, suggesting that reducing the influence of environmental factors will increase the impact actual usage has on the continuance usage of drone technology in healthcare delivery.

The determinants of smart government systems adoption by public sector organizations in Saudi Arabia

This study investigates the determinants of smart government systems that are used in public service organizations in Saudi Arabia. The world's developed nations have conducted studies on smart government systems, but little research has been done on the Middle East, particularly in Saudi Arabia. This study fills the lacuna in the literature. Based on a number of theories including the Technology, Organization, and Environment framework (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology Acceptance Models (TAM), the study established an integrated conceptual research model. Online survey questionnaires were sent to 2060 employees in four ministries and after the second reminder a total of 427 completed answers were received, of which 419 (22% response rate) were deemed useable for the analysis. Multivariate statistical analysis was used to analyze the data and results indicated that 51% of the variance (R2 = 0.51) of employees' perceptions of smart government systems is explained by independent determinants. Findings show that security concerns (t (419) = 2.051, p < 0.041), ICT strategy (t (419) = 4.215, p < 0.000), managerial support (t (419) = 5.027, p < 0.000), incentives (t (419) = 5.263, p < 0.000), and trust (t (419) = -1.957, p < 0.050) are significant predictors of smart government systems acceptance. Meanwhile cultural values (t (419) = 0.669, p < 0.504) and religious values (t (419) = 1.082, p < 0.280) have no significant effect on the attitude to smart system adoption. Perception was found to have a strong significant effect on adoption of smart government systems (t (419) = 8.411, p < 0.000). These results have significant implications for the Saudi government's drive to implement smart government systems in all its agencies.

Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach

Purpose

The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach.

Design/methodology/approach

After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling.

Findings

The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives.

Originality/value

The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.

The predictors of mobile government services adoption through social media: A case of Chinese citizens

This research studied the factors accounting for Chinese citizens’ behavioral adoption of mobile government services via social media platforms. Social media innovations have empowered governments to better interact and stay in touch with citizens, and thus understanding citizens’ adoption of government services via social media will enable policymakers to leverage social media to better meet the service requirements of citizens. Drawing upon the Chinese mobile-government context, this research framework was made on the Technology Acceptance Model (TAM) while the analysis of data was completed with Smart PLS by the use of the SEM procedure. The analysis has surprisingly discovered that perceived usefulness (PU) does not predict the adoption of mobile government services through social media. However, perceived information quality was significant in determining both the PU and adoption behavior. It was also shown that factors such as perceived security, perceived mobility, trendiness, and interactivity were all significant determinants of both the perceived usefulness and adoption intention respectively. The research and managerial consequences of the study outcomes on m-government development and diffusion are thoroughly considered.

Online impulse buying behavior and marketing optimization guided by entrepreneurial psychology under COVID-19

This work aims to promote the development of the online shopping market and improve the online marketing effect of goods. First, entrepreneurial psychology and online shopping are discussed. Then, impulse buying behavior (IBB) is analyzed, and the IBB model and hypotheses of consumers are proposed under the psychological model. Finally, consumers’ IBB during COVID-19 is assessed under the psychological models. Hedonic shopping value (HSV) is a psychological factor directly affecting consumers’ IBB during COVID-19. The results indicate that COVID-19 has a specific stimulating effect on IBB. Meanwhile, the types of goods consumers buy during COVID-19 vary widely across age groups and regions. Overall, clothing is the most purchased item by consumers. This work provides the main reference for the improvement of the online commodity marketing effect and makes a crucial contribution to the development of the online shopping market.

Analysis of Factors Affecting Individuals’ Online Consumer Credit Behavior: Evidence From China

In the past two decades, a growing number of Chinese young adults utilize online consumer credit to satisfy their increasing consumption demand. Although it is indeed boosting consumer markets, it has also caused many serious social problems. A number of previous studies discussed the authentication mechanism and legal supervision of online lending from a legal or economic perspective, and a small number of scholars explored factors affecting individuals’ online consumer credit from the perspective of behavioral psychology. Based on the Triandis model and existing studies on online lending, this paper constructs a theoretical model for the formation of individuals’ online consumer credit. It then adopts SmartPLS 3.00 to analyze the data set that involves 302 respondents in total. This research found that affect, facilitating conditions, perceived consequences and social factors have a significant impact on individuals’ online consumer credit. The findings of this study have political and practical implications. First, they can contribute to the rational consumption by China’s young generation and promote the sound development of online consumer credit. In the meantime, this study also helps online consumer credit platforms to provide better services and improve public relations.

Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

BACKGROUND

Despite advancements in artificial intelligence (AI) to develop prediction and classification models, little research has been devoted to real-world translations with a user-centered design approach. AI development studies in the health care context have often ignored two critical factors of ecological validity and human cognition, creating challenges at the interface with clinicians and the clinical environment.

OBJECTIVE

The aim of this literature review was to investigate the contributions made by major human factors communities in health care AI applications. This review also discusses emerging research gaps, and provides future research directions to facilitate a safer and user-centered integration of AI into the clinical workflow.

METHODS

We performed an extensive mapping review to capture all relevant articles published within the last 10 years in the major human factors journals and conference proceedings listed in the "Human Factors and Ergonomics" category of the Scopus Master List. In each published volume, we searched for studies reporting qualitative or quantitative findings in the context of AI in health care. Studies are discussed based on the key principles such as evaluating workload, usability, trust in technology, perception, and user-centered design.

RESULTS

Forty-eight articles were included in the final review. Most of the studies emphasized user perception, the usability of AI-based devices or technologies, cognitive workload, and user's trust in AI. The review revealed a nascent but growing body of literature focusing on augmenting health care AI; however, little effort has been made to ensure ecological validity with user-centered design approaches. Moreover, few studies (n=5 against clinical/baseline standards, n=5 against clinicians) compared their AI models against a standard measure.

CONCLUSIONS

Human factors researchers should actively be part of efforts in AI design and implementation, as well as dynamic assessments of AI systems' effects on interaction, workflow, and patient outcomes. An AI system is part of a greater sociotechnical system. Investigators with human factors and ergonomics expertise are essential when defining the dynamic interaction of AI within each element, process, and result of the work system.

Using the UTAUT model to understand students' usage of e-learning systems in developing countries

Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students' intentions to use and their actual usage of Moodle, an e-learning system at Hashemite University, a public university in Jordan, one of developing countries. Four principal determinants of intention and usage were explored: performance expectancy, effort expectancy, social influence, and facilitating conditions. Data were collected from 370 undergraduate students and analysed using structural equation modelling techniques. The results indicated that performance expectancy and effort expectancy affected behavioural intentions to use Moodle whereas social influence did not. In addition, the results confirmed the direct impact of behavioural intentions and facilitating conditions on students' use of Moodle. UTAUT thus provides a valuable tool that enables university decision makers, faculty members, and designers to understand the factors driving e-learning system acceptance and thus facilitate the adoption of the system by students. The study will help educational institutions prepare e-learning systems, which is especially important during a state of emergency such as that caused by COVID-19.

Effect of good meeting practices and interactional justice on online workplace informal learning in Korea

The purpose of this study is to investigate the contextual factors that facilitate informal workplace learning during the meeting process or after the meeting in the online context. This research utilized structural equation modeling technique and the target sample of this study was fulltime workers employed at various levels within a wide range of organizations. The results show that good meeting practice has a positive impact on external scanning among the three types of informal learning. Specifically, good meeting practice is not significantly related to learning with others and self-experimentation but is positively associated with external scanning. Interactional justice, which is comprised of interactional and informational justice, has a significant effect on learning with others and the self-experimentation learning type Neither interactional nor informational justice is significantly related to external scanning. Furthermore, the moderating effects of the relationship among good meeting practices, interactional justice and informal learning are based on demographic profiles, especially gender. The findings are distinctively different in terms of several hypotheses depending on gender.

Patients' Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

BACKGROUND

In England, almost all general practices (GPs) have implemented GP online services such as electronic personal health records (ePHRs) that allow people to schedule appointments, request repeat prescriptions, and access parts of their medical records. The overall adoption rate of GP online services has been low, reaching just 28% in October 2019. In a previous study, Abd-Alrazaq et al adopted a model to assess the factors that influence patients' use of GP online services in England. According to the previous literature, the predictive power of the Abd-Alrazaq model could be improved by proposing new associations between the existing variables in the model.

OBJECTIVE

This study aims to improve the predictive power of the Abd-Alrazaq model by proposing new relationships between the existing variables in the model.

METHODS

The Abd-Alrazaq model was amended by proposing new direct, mediating, moderating, and moderated mediating effects. The amended model was examined using data from a previous study, which were collected by a cross-sectional survey of a convenience sample of 4 GPs in West Yorkshire, England. Structural equation modeling was used to examine the theoretical model and hypotheses.

RESULTS

The new model accounted for 53% of the variance in performance expectancy (PE), 76% of the variance in behavioral intention (BI), and 49% of the variance in use behavior (UB). In addition to the significant associations found in the previous study, this study found that social influence (SI) and facilitating conditions (FCs) are associated with PE directly and BI indirectly through PE. The association between BI and UB was stronger for younger women with higher levels of education, income, and internet access. The indirect effects of effort expectancy (EE), perceived privacy and security (PPS), and SI on BI were statistically stronger for women without internet access, patients with internet access, and patients without internet access, respectively. The indirect effect of PPS on BI was stronger for patients with college education or diploma than for those with secondary school education and lower, whereas the indirect effect of EE on BI was stronger for patients with secondary school education or lower than for those with college education or a diploma.

CONCLUSIONS

The predictive power of the Abd-Alrazaq model improved by virtue of new significant associations that were not examined before in the context of ePHRs. Further studies are required to validate the new model in different contexts and to improve its predictive power by proposing new variables. The influential factors found in this study should be considered to improve patients' use of ePHRs.

Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users

Korean duty-free shops sales rank first among duty-free shops around the world (Generation Research, 2018) and have become a target of interest for academics and industry observers. In particular, attention has been focused on variables affecting the shopping behavior of this fast-growing segment of online duty-free shop users. In this research, the main variables of the technology innovation acceptance model and the target-oriented behavior model are added. Focus is placed on the decomposed theory of planned behavior, and the variables affecting the behavioral intention are identified. A survey is conducted with users of online duty-free shops (Internet, mobile) as targets, and an analysis of the structural equation model is utilized. Among the technology innovation acceptance variables, the factors affecting attitude are compatibility and perceived usefulness. It is determined that only perceived behavioral control has a significant effect on behavioral intention, which is a dependent variable of the decomposed theory of planned behavior, and the attitude and subjective norms are found to have a significant effect on both desire and behavioral intention. Thus, it is confirmed that attitude is a key variable in explaining this research model. This research has academic implications because it examines variables affecting the behavioral intention of online duty-free shop users by integrating the theory of technology innovation acceptance and the decomposed theory of planned behavior, with the addition of a desire variable. Moreover, there are practical implications in that online duty-free shop operators have provided meaningful basic data to establish differentiated marketing strategies from offline duty-free shops with the goal of expanding use. The results of this study are expected to serve as basic data for increasing the behavioral intention of online duty-free shop users and promoting the sustainable development of online duty-free shops in South Korea.

Perspective of Yemeni students on use of online learning

Purpose

Online learning has evolved into a necessary means of learning because of its capability to enhance the education quality with minimum resources and infrastructure. Nevertheless, while academics have studied the espousal and use of online learning in various settings, the effect of compatibility and transformational leadership (TL) still remains to be seen, with regards to the Yemeni context. The purpose of this paper is to forward the Delone and Mclean Information System (IS) success Model by integrating compatibility and TL constructs as precursors to user contentment and actual use for estimating performance of students.

Design/methodology/approach

The questionnaire technique was utilised for gathering primary data from 448 students in nine state-funded Yemeni universities. The six variables in the recommended framework were gauged utilising current scales. Data analysis was done by deploying structural equation modelling through SmartPLS 3.0.

Findings

The outcomes encompassed three key results: overall quality (data, system and service quality), compatibility and TL have a favourable effect on user satisfaction and actual use; actual use considerably estimates user satisfaction; and user satisfaction and actual use have a favourable effect on performance of students.

Research limitations/implications

Because the research populace comprised students from nine state-funded universities, it did not include administrative and academic staff. Furthermore, as the study was cross-sectional, it studied the variables at a single point of time. Attaining experience in utilising online learning would transform the convictions of students, and this cannot be traced through a cross-sectional scrutiny. Moreover, the research relies upon self-testified measures for ascertaining the recommended research model. The reason behind this is that obtaining objective information regarding performance was not likely because of the privacy concern.

Practical implications

Despite the fact that Yemen is a low-income emerging nation with inadequate resources (World Development Indicators, 2017), it can capitalise on online-based learning that provides the advantage of excellent education and that too with limited supplies (Dokhan and Akkoyunlu, 2016; Yang et al., 2016). Additionally, online learning can enhance administration and communication, empower learning anywhere and anytime, and endorse fairness of education.

Originality/value

This study supplements the existing studies on information systems by blending overall quality, compatibility, TL, actual use and client satisfaction for estimating the effect of online learning among students from nine state-funded Yemeni universities. Moreover, the recommended model’s predictive prowess has a higher capability to elucidate and estimate the performance effect as against those acquired from few of the previous studies.

Influence of IoT Policy on Quality of Life

In this study, an attempt was taken to identify the issues concerning to regulations and governance which could substantially influence the citizens of India relating to adoption of the Internet of Things. The objective of this study is to highlight the importance of Internet of Things policymaking by the Government of India prescribing proper regulatory frameworks and good governance for effective and successful adoption of the Internet of Things by the citizens of India. An empirical approach has been taken for understanding the impact of IoT policy towards adoption of IoT enabled devices by the citizens of India. Structural equation modeling (SEM) has been used towards analysis of the data collected from three metro cities in India. The study finds out the impact of IoT policy towards adoption of the Internet of Things by the citizens in India and its importance towards improving the quality of life of the citizens of India.

Knowledge sharing

Purpose

Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity.

Design/methodology/approach

A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis.

Findings

The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively.

Research limitations/implications

All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives.

Originality/value

The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general.

An extension of Delone and McLean IS success model with self-efficacy

Purpose

While many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by incorporating a self-efficacy construct as an antecedent to user satisfaction and actual usage to predict student performance.

Design/methodology/approach

Questionnaire survey method was used to collect primary data from 448 students in nine public universities in Yemen. The six constructs in the proposed model were measured using existing scales. The data analysed using confirmatory factor analysis and structural equation modelling via AMOS.

Findings

Three main results were revealed, namely that overall quality (system, information and service quality) and self-efficacy have a positive impact on user satisfaction and actual usage; that actual usage significantly predicts user satisfaction; and that both user satisfaction and actual usage have a positive impact on student performance.

Research limitations/implications

First as the study population were students from nine public universities, it excluded academics and administrative staff. Second, the study depends on self-reported measures to test the proposed research model. This is because getting objective data about the performance was not probable due to the issue of privacy.

Practical implications

The findings of this study can be a guideline for Yemeni higher education institutions to develop efficient and effective plans to improve the performance of education institutions, and train and develop student ability to use online learning. Additionally, it highlights the areas that university management needs to concentrate on, namely information systems (IS) tools that will contribute to higher student enrolment, address the lack of infrastructure and improve the quality of education outcomes, things which represent Yemen’s main challenges in the higher education sector.

Originality/value

This paper adds to the existing literature of IS by combining overall quality, self-efficacy, actual usage and user satisfaction to predict performance impact of online learning among students in nine public universities in Yemen. Furthermore, the predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article

BACKGROUND

Mobile health is one of the new technologies for the utilization of health information. For its successful implementation as well as any other system, we must primarily measure the adoption and use of its factors. The purpose of this study was to systematically investigate published articles about the factors affecting the adoption of mobile health and categorizing the factors affecting the adoption of this system.

METHODS

This study is a comprehensive review done by searching major databases such as Google Scholar, Emerald, Science Direct, Iran Medex, SID, Magiran, Pub med, etc. In addition, we use Mobile, mobile Health + adoption, mobile Health + TAM, Health + TAM keywords in the range of 2004 to 2015.

RESULTS

Among the studies that use information technology theories to survey the factors affecting the adoption of mobile health, TAM model was used more than other models. Factors such as perceived ease of use, perceived usefulness and facilitating condition form TUATU are the most effective in the adoption of mobile health.

CONCLUSION

Results showed that by considering factors such as perceived ease of use, perceived usefulness and facilitating condition can increase the adoption of mobile health system. Consequently, these factors are recommended to be considered in planning to run systems.

Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen

Purpose

The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees.

Design/methodology/approach

Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS.

Findings

The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact.

Research limitations/implications

The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage.

Practical implications

The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life.

Originality/value

This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

Smart Phone Acceptance among Physicians: Application of Structural Equation Modelling in the Largest Iranian University

BACKGROUND

The present study aimed to determine attitudes and effective factors in the acceptance of smart phones by physicians of the largest University of Medical Sciences in the south of Iran.

METHODS

This cross-sectional study was performed using Structural Equation Modelling (SEM) in 2014. Study participants included 200 physicians working in the hospitals of Shiraz University of Medical Sciences selected through two-stage stratified sampling, but 185 participants completed the study. The study data were collected using a researcher-made questionnaire completed through a 5-point Likert scale. The content validity of the questionnaire was confirmed by a panel of experts, its construct validity by confirmatory factor analysis, and its reliability by Cronbach's alpha of 0.802. All data analyses were performed using SPSS (version 22) and LISREL (version 8.8).

RESULTS

Results showed that most physicians had a desirable attitude towards using smart phones. Besides, the results of SEM indicated a significant relationship between attitude and compatibility, observability, personal experience, voluntariness of use and perceived usefulness. Moreover, some important fitness indices revealed appropriate fitness of the study model (p=0.26, X2/df=1.35, RMR=0.070, GFI=0.77, AGFI=0.71, NNFI=0.93, CFI=0.94).

CONCLUSION

The results revealed that compatibility, observability, personal experience, voluntariness of use and perceived usefulness were effective in the physicians' attitude towards using smart phones. Thus, by preparation of the required infrastructures, policymakers in the field of health technology can enhance the utilization of smart phones in hospitals.

Consumer attitude and preference in the Islamic mortgage sector: a study of Malaysian consumers

Purpose

The purpose of this study is to investigate the effects of service quality, product choice and Islamic debt policy on consumer attitude within the context of Islamic mortgage sector in Malaysia. The present study also examines the effect of attitudinal-behaviour on consumer preference towards preference of Islamic mortgage selection.

Design/methodology/approach

The study is based on questionnaire survey. Data are collected using sample from customers of Islamic banks in Malaysia. The study collects 351 respondents. Data are analysed using partial least squares (PLS).

Findings

The results indicate that service quality, product choice and Islamic debt policy significantly influence consumer attitude, in turn, affecting the Islamic home financing preference. Consumer attitude also mediates the effects of service quality, product choice and Islamic debt policy on the Islamic home financing preference.

Research limitations/implications

Several limitations warrant future research. First, this study considers only a specific user group in one public university. Second, this study does not consider attitude as a moderator. Third, this study suffers from the limited number of factors used. These limitations, however, provide directions for future research.

Practical implications

Our results will add value to the consumer preference topic for Islamic home financing literature. The present study provides bank managers with valuable insights into better planning of Islamic home financing services in Malaysia.

Originality/value

This study is a pioneering effort at exploring consumer attitude and preference from the context of Islamic mortgage sector in Malaysia. The use of PLS analysis provides another important contribution to the literature in this area.

The influence of smartphones on academic performance

Purpose

The purpose of this paper is to investigate the factors that influence college students’ smartphone use for academic purposes by identifying the task-technology fit (TTF) of smartphones. A research model is proposed to explain how TTF of smartphones affects college students’ perceived academic performance and smartphone use.

Design/methodology/approach

Online surveys were administered to college students at a South Korean university that has offered online academic services for more than five years, and 1,923 valid responses were analyzed. The study used partial least squares path modeling to evaluate the measurement model, and the bootstrapping technique to test the significance of the hypotheses.

Findings

The findings highlight that the TTF of smartphones has a direct influence on students’ perceptions of performance impact and an indirect influence on smartphone use through a precursor of utilization, such as attitude toward smartphone use, social norms and facilitating conditions.

Research limitations/implications

Despite a reasonably large sample, a single cross-sectional survey has a likelihood of selection bias in the sample.

Practical implications

This study applies the TTF model to smartphone use among college students and suggests an effective way to motivate them to use mobile technologies for their academic activities.

Originality/value

The present study develops an empirical model to assess the adoption of smartphones and its effect on college students’ academic performance. Above all, the study identifies a causal relationship among TTF, precursor of utilization, smartphone use and a perceived impact on academic performance based on the development and validation of the TTF constructs of smartphones.

An Exploratory Study on the Effects of Learning Organization Characteristics on Internet Usage

The Internet is becoming a very important new technology in all organizations, including universities. Many in academia are adopting this innovative technology to aid in their teaching, research, and consulting. In this study, using the learning organization theoretical framework, the effects of learning organization characteristics, other organizational factors, and individual variables on the use of the Internet by a random sample of 245 business school faculty members in the United States were examined and analyzed. Some support for learning organization characteristics, as well as support for individual and other organizational factors, was found.

Toward understanding the importance of trust in influencing Internet banking adoption in Uganda

With the increasing popularity of the Internet, financial institutions are seeking ways to utilize this popular medium in an effort to keep up with the changing technological preferences of their customers through innovations like Internet banking services. In Uganda, however, the rate of Internet banking adoption has not risen as strongly as expected due to factors like lack of trust, security, poor perceptions on usefulness and ease of use of the system by the customers, lack of privacy over the Internet and poor attitude towards Internet banking, among others, which has led many to view Internet banking as a very risky undertaking. This study introduces perceived trustworthiness as one of the beliefs that may significantly influence Internet banking adoption and we examine its importance in determining customers’ attitude and behavioral intention towards using Internet banking as the purpose of the study. We conducted a survey by distributing questionnaires to customers of five highly competitive banks in Uganda and collected data from a total of 232 respondents. The results of the statistical analyses using structural equation modeling indicate that the relative importance of perceived trustworthiness of banks was statistically significant as it accounted for 47 percent of variance in predicting customers’ attitude towards Internet banking.

Explaining Cyberloafing through a Theoretical Integration of Theory of Interpersonal Behavior and Theory of Organizational Justice

Cyberloafing is an issue of growing concern for contemporary organizations. This paper develops an integrated research model which combines the Theory of Interpersonal Behavior and Organizational Justice to provide a holistic examination for cyberloafing behavior. Data was collected from working respondents via on-line questionnaire to test the research model. The results of this study found that the metaphor of the ledger from the organizational justice model was a significant predictor of intent to cyberloaf, while the four types of organizational justice were not significant predictors of the metaphor of the ledger. The effects of constructs from the Theory of Interpersonal Behavior performed as expected with the exception of the direct relationship between facilitating conditions and cyberloafing behavior. Overall, the results suggest that combining these two models provides a rich explanation of antecedents to cyberloafing.

The factors influencing CoP activities and their impact on relationship commitment and individual performance

Purpose

– The objective of this study is to identify the factors that affect CoP activation and performance variables obtainable through CoP activities, and to gain greater insight into their relationships and the mechanisms. In particular, this paper intends to illustrate the role of perceived risk factor for the loss of uniqueness of one's own knowledge in terms of their influence on CoP activities.

Design/methodology/approach

– In this study, the human behaviours were divided into online and offline CoP activities and adopted affirmative affect and social norm from the Triandis model. In addition, the paper considered perceived expectation, perceived risk, and organization support as independent variables. These would accelerate online and offline activities in the community of practice. The paper considered relationship commitment and individual performance in the context of performance evaluations via CoP activities. A structural equation model was developed with research variables and hypotheses.

Findings

– As the consequence of the empirical assessment of the variables influencing the on/offline activities of a CoP, social norm, perceived expectation, perceived risk, and organizational support showed significantly influential relationships with online activities, and affirmative affect, perceived expectation, and organizational support evidenced significantly influential relationships with offline activities. However, with regard to online CoP activities, affirmative affect was not shown to be significant. As to offline activities, perceived risk was not shown to be significantly influential, while it was determined to significantly influence online activities in a negative direction.

Originality/value

– The results of this study demonstrated that on/offline CoP activities were significantly influential in terms both of relationship commitment and individual performance.

The Influence of IT-Related Beliefs on Emotional Trust for a Smartphone and Smartphone Continuance Usage

Companies and municipalities worldwide are encouraging bring your own devices (BYOD) such as smartphones to the work environment to enhance communication among all employees, job performance, system quality, product quality, and service quality. Thus, understanding factors that have direct and indirect influence on smartphone continuance usage is helpful to companies worldwide that are investing heavily on BYOD. To date, there are no published studies that have investigated both the influence of external variables (i.e. cognitive factors) and emotional trust on smartphone continuance usage. To fill this gap in the literature, the authors develop their research model. This study indicates that emotional trust in a smartphone has a positive and significant effect on smartphone continuance usage. This finding strongly supports both the theory of reasoned action and the technology acceptance model. Familiarity with a smartphone, satisfaction with a smartphone, usefulness of a smartphone’s apps/features, and smartphone functionality have a significant positive effect on emotional trust on a smartphone. The authors’ findings strongly indicate that the continuance usage of a smartphone in their daily activities and tasks involve emotion, cognition, and mental processes.