A Descriptive Framework for the Field of Knowledge Management

Despite the extensive evolution of knowledge management (KM), the field lacks an integrated description. This situation leads to difficulties in research, teaching, and learning. To bridge this gap, this study surveys 2842 articles from top-ranked KM journals to provide a descriptive framework that guides future research in the field of knowledge management. This study also seeks to provide a comprehensive depiction of current research in the field and categorizes these research activities into higher-level categories using grounded theory approach and topic modeling technique. The results show that KM studies are classified into four core research categories: technological, business, people, and domains/applications dimensions. An additional concern addressed in this study is the major research methodologies used in this field. The results raise awareness of the development of KM discipline and hold implications for research methodologies and research trends in the selected KM journals. The results obtained from this study also provide practitioners with a useful quality reference source. The framework and the components included provide researchers, practitioners, and educators with an ontology of KM topics, where they can cover deficiencies in research and provide an agenda for future research

When Users Enjoy Using the System: The Case of AIS

This study utilized an extended model of the Unified Theory of Acceptance and Use of Technology (UTAUT2) to explore the factors influencing the future adoption of accounting information systems (AIS) by Qatari students. A research model was proposed to predict future adoption, partially moderated by voluntary status of using the system. A sample of 237 students was used to probe their perceptions regarding the use of such systems in their future careers. Students were enrolled in an accounting information systems course in Qatar University. Results indicated that perceived facilitating conditions, performance expectancy and enjoyment were significant predictors of AIS. The other factors failed to be significant predictors. The estimated R2 was 48.4%. The moderation effect of voluntariness was also significant in influencing the relationship between enjoyment and future adoption. The moderator yielded a negative beta, which means that it faded the relationship under consideration. Conclusions and future recommendations are reported at the end of the paper

Factors and affect mobile telephone users to use mobile payment solution

Providing a convenient payment solution to mp3 users is one of the alternatives that can promote legal mp3 downloading. However, before the success of the payment solution can be determined, it is essential to understand whether it would be well-accepted by the users. This paper examines factors that influence the intention to use a mobile payment solution for mp3 downloading among university' students. Drawing from the Technology Acceptance Model, Theory of Planned Behaviour and previous literatures, five factors were hypothesized to influence the intention to use the payment solution, namely perceived usefulness, perceived ease of use, trust, perceived price level, and peer influence. Final year business students at a public university in the southern part of Malaysia were chosen as respondents for this study. Multiple regressions were employed to analyze the data. Two factors were found to have significant effect on the intention to use the payment solution, which were trust and peer influence. Practical implications were proposed and discussed

The Influence of Emotional Intelligence on Technology Adoption and Decision-Making Process

Emotional intelligence is a vital measure of personality in psychology, where research indicated that it has a direct influence on technology adoption. This study assumed that emotional intelligence dimensions would have an influence on personal self-efficacy, which makes it a driver of technology adoption domain. The proposed framework deployed a relational model of emotional intelligence dimensions, and connected it to technology adoption theories. A sample of 268 students filled the survey and was used for analysis. Results indicated that self-awareness significantly influenced self-management, social management significantly influenced social skills, and both social management and self-management influenced social skills. In addition, social skills significantly influenced self-efficacy. All four dimensions of emotional intelligence explained 9% of the variance in self-efficacy. Self-efficacy and effort expectancy significantly influenced performance expectancy and explain 29.6% of its variance. Finally, performance expectancy significantly influenced the behavioural intention to use Excel for the decision-making process in the future, and explained 47.8% of its variance. Results supported the model and provided a fair explanation of power. Details, conclusions and future work are reported at the end

Utilizing Facebook by the Arab World Governments: The Communication Success Factor

This study explored the importance of social media as a communication channel, and the reasons that lead governments to adopt such channel in their communication. Twelve Arab governments out of all twenty-two Arab countries adopted such strategy and were included in the authors' sample. Governments who adopted such a channel successfully communicated with citizens utilizing commonly used post properties (i.e. Likes, Comments and Shares). This study found that Arab governments posted news and information on Facebook with an average of 102.58 posts per year, which indicates that posting over Facebook is very poor. Also, it is found that using multimedia with different types lead to more communication from the stakeholders compared with posts that didn't use it. Such richness in media improved the communication intensity and lead to communication success. The second major contribution of this study is to build the TPCC index for measuring communication success. Such composite index is an integrated measure from four major indices; transparency, participation, collaboration, and comfort. Detailed results, conclusions, limitations, and future work are explained further

Factors influencing G-SMS adoption by Jordanian citizens

© 2016 IEEE. Governments utilized mobile technologies and wireless infrastructure to facilitate the provision of governmental services. The success of such initiative depends on citizens' adoption, which is influenced by more than one factor. This research tested a model for predicting the intention to use SMS services provided by governments. The major proposed predictors are perceived usefulness, subjective norms, perceived ease of use, self-efficacy, as well as trust. A quantitative research was conducted, where 400 surveys were distributed to collect the research data. 386 of them were returned and analyzed. Results indicated that all proposed factors were significant predictors of the intention to use SMS services. Unfortunately, subjective norm failed to be a significant predictor of intentions. The last section includes research conclusions and future work

Voter's intention to use electronic voting systems

Electronic government initiatives play a central role in opening doorsfor potential votersto participate in the political process by using electronic voting systems. Electronic voting is attracting more attention by governments around the world, where many countries have exploited e-voting systems as an alternative to traditional voting in their national elections. Citizens differ in their attitude towards using e-voting. This study extended the technology acceptance model to predict the intentions to use e-voting. This paper explored the intentions of citizens to use e-voting systems by conducting an empirical research. To accomplish the main objectives of this paper, 320 surveys were collected from Jordanian citizens. The findings indicate a significant influence of perceived usefulness and perceived ease of use and security. Trust failed to predict intentions to use e-voting systems

Factors Influencing the Continuous Use of Cloud Computing Services in Organization Level

The primary purpose of carrying out this research work is to identify the crucial factors that influence the continuous use of cloud computing services in organizations. To achieve this identified objective, this research work carried out a comprehensive literature review on cloud computing services‘ adoption at the organizational level, particularly emphasizing the factors that define the prolonged adoption of cloud computing services. The factors identified, served as a guide required by organizations for completely safe and effective cloud computing service and their use in businesses. This research adopts the criteria of Wymer and Regan as a basis for this study. A total of 53 factors were obtained from prior studies on the cloud computing services‘ adoption. Results obtained during the cause of study revealed that the most crucial factors affecting the continuous use of cloud computing services in organizations areas follows: Relative advantage; Complexity: Perceived security and privacy; Compatibility; Top manager‘s support; Cost reduction; Competitive pressure; IT readiness; Firm size; Vendor support; Regulations and Government policy; Trialability; Perceived reliability; Perceived availability; Uncertainty and Perceived Trust

M-service quality of telecommunication companies in Qatar

Service quality provided by mobile applications has become a vital element in increasing customers' satisfaction. This study aims to identify the significant mobile service quality factors (application design, ease of use, information content, reliability, responsiveness, empathy, security, and prices and offers) that influence s and loyalty in Qatar's telecommunications sector. The data were collected through an online questionnaire of 195 random customers who use Ooredoo or Vodafone mobile applications in Qatar. The proposed model was evaluated using partial least squares structural equation modelling (PLS-SEM). The results show that ease of use, information content, responsiveness and security were the only significant factors that affect M-customer satisfaction. Also, there is a strong relationship between M-customer satisfaction and M-loyalty. Managers should adopt a strategy that focuses on the M-service quality factors to increase customers' loyalty

Factors influencing trust in social commerce: the case of Qatar

The global spread of social media platforms, along with the technology acceptance, has contributed significantly in accelerating the birth of social commerce, which is one of the most prominent advancements of e-commerce. To keep up with the trend, online vendors or social vendors need to improve customers’ trust towards social commerce to enhance customer engagement, and to leverage the potential power of social networking. This research aims at studying the factors influencing trust in social commerce in the context of Qatar. The proposed research model adopted seven different factors that are assumed to influence trust in social commerce in Qatar. These factors include platform involvement (PI), information quality (IQ), perceived privacy protection (PPP), trust disposition (TD), informational support (IS), social commerce constructs (SCCs), and reputation of online vendors (REP). A sample of 320 valid responses was collected using a snowball sampling technique. Different statistical methods were performed, including multiple regressions for hypotheses testing. Four variables out of seven were found statistically significant in predicting the trust in social commerce, namely, the reputation of online vendors, information quality, platform involvement, and social commerce constructs. Based on the research findings, research and managerial implications, limitations, and future work were presented and discussed