Toward a comprehensive conceptualization of the digital divide and its impact on e-government system success: evidence from local governments in Indonesia

Purpose - This research aimed to investigate the digital divide and its impact on egovernment system success in Indonesia. Design/methodology - This study applies two-stage sequential mixed method research approach. Findings - The results supported direct influences of digital divide on e-government system success, the mediating effects of trust in e-government and the moderating effects of demographic variables. Research implications/contributions - It contributes to the developments of literature on digital divide and e-government, and to the implementation of egovernment

TRUSTING REVIEW MECHANISMS IN KNOWLEDGE MANAGEMENT SYSTEMS: ANTECEDENTS, OUTCOMES, AND THE ROLE OF PERCEIVED RISK

In recent years, the success of social media in the private realm has entailed an increasing awareness of opportunities that are linked to user-generated content in knowledge management systems. Alongside the benefits in terms of knowledge quantity, new quality risks arise from an unregulated knowledge contribution. Considering that, review mechanisms have been implemented to monitor the content and provide a basis to distinguish between good and poor quality knowledge assets. This paper proposes a model to uncover the role of trust in expert and peer reviews during the knowledge application process by considering its antecedents, its outcomes, and the influnce of perceived risk. The model suggests that trust in expert and peer reviews is based on the ability, benevolence, and integrity of the respective group and is positively influnced by a higher trustor´s propensity to trust. Perceived risk in a particular situation influnces the decision whether to apply knowledge based on trust in expert or in peer reviews. It is assumed that high-risk decisions are based on expert reviews more likely because the organizational and individual risk is perceived to be lowered, whereas peer reviews can only mitigate organizational risk

Information management as a determinant of success in knowledge management systems

Universities, to achieve success and stay competitive, must refine their processes by way of new methods and technologies to enable development and transfer the knowledge they create, utilizing valuable knowledge more productively in academic and learning services; in the management of research projects, community activities, and the student life cycle; and in institutional development, support and administration. An efficient knowledge management system (KMS) is an important strategy for helping universities to achieve sustainable competitive advantages. However, many have embarked upon the KM process without knowing what factors are required for successful KMS implementation. The aim of this article is to explore the influence of information management (IM) as one of the determinants of success in KMS implementation, particularly at the Universidad Simón Bolívar, a public institution located in Caracas, Venezuela. The design we employ is exploratory rather than experimental. We take a deductive approach, based on a quantitative method, and employ a questionnaire for data collection. Our sample is made up of 96 participants (academic and support staff). We concludes by acknowledging the importance of IM as a success factor for effective KM, with the participation of different actors in the decision-making process

ASSESSING ONLINE REGISTRATION SYSTEM’S (ORS) SUCCESS: AN APPLICATION OF DELONE AND MCLEAN’S MODEL OF INFORMATION SYSTEMS SUCCESS

The study applied DeLone and McLean’s IS success model in the mandatory context of online registration system (ORS) in one Jordanian university. Six dimensions were used to asses ORS success from the perspective of system users, i.e. students (information quality, system quality, service quality, user satisfaction, net benefits and intention to use). Consistent with DeLone and McLean’s suggestion, the study focused on the “intention to use”, rather than “use”, dimension to accommodate the mandatory nature of ORS. Quantitative data was collected, through a questionnaire instrument, from a sample of 1360 undergraduate students studying in different faculties at the university. Statistical analysis of the study’s model was conducted using “SmartPLS” software, version 2.0.M3. Empirical analysis has underlined the multidimensional and interdependent nature of ORS success. Furthermore, empirical examination of the model’s hypotheses has indicated that students’ “intention to use” ORS is dependent on system quality, service quality, user satisfaction and net benefits

Knowledge Management Systems: Linking Contribution, Refinement and Use

Electronic knowledge repositories represent one of the fundamental tools for knowledge management (KM) initiatives. Existing research, however, has largely focused on supply-side driven research questions, such as employee motivation to contribute knowledge to a repository. This research turns attention to the dynamic relationship between the supply-side issue of knowledge contribution and demand-side issue of knowledge usage, as repository systems are successful only to the extent that their content is actively utilized by organizational members to enhance their work performance. There are two primary objectives of this dissertation research. The first is to examine determinants of high quality knowledge contribution, the knowledge refinement process, and effective knowledge use, by drawing on organizational and dyadic factors. The second purpose is to expand the current understanding of knowledge contribution and use beyond conventional constructs that are based on quantity or frequency. New theoretical frameworks are proposed to conceptualize knowledge quality, knowledge refinement, and knowledge use. Towards these goals, informal qualitative interviews and a survey study with a matched-triad design were conducted with users of Eureka, a successful global knowledge repository system of the Xerox company. Results reveal that procedural justice significantly contributed to the quality of refined knowledge and the extent of knowledge use. However, procedural justice had little impact on the quality of knowledge contribution. In addition, expertise gap and communication frequency significantly influenced the quality of refined knowledge, whereas shared understanding made little contribution. These findings are discussed with respect to implications for knowledge management research and managerial practices

Knowledge sharing and professional online communities acceptance : an integrated model

This study aims to advance empirical research in the realm of the use of professional online communities for knowledge sharing. Use of these communities is likely to be influenced not only by social factors but also by cognitive and technological factors. Hence, drawing upon theoretical and empirical foundations and contextually relevant previous research, three theoretical frameworks were developed and applied, in which relational factors (trust), individual factors (knowledge/system self-efficacy), and technological factors (system quality and content quality) were integrated together with the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine the use of professional online communities to acquire/provide knowledge among professionals. To test these theoretical models, an online web-survey was administered to 366 members of eight professional communities in Egypt.Employing covariance-based structural equation modelling (CB-SEM), the results of this study confirmed that professional online communities have emerged as an essential channel to facilitate knowledge sharing among professionals. Performance expectancy and personal outcome expectancy were found to be the strongest determinants of professional online community use. Relational capital - trust - was found to be a significant predictor of usage behaviour. However, for members who used the community for knowledge provision, trust was found to have a stronger influence than was perceived trust on using the community for knowledge acquisition. For members who used the community for knowledge acquisition, effort expectancy and social influence revealed significant effect, in contrast to members who use the community for knowledge provision. Regarding the hypotheses common to both use behaviours, the findings demonstrated some significant differences. Content quality, for example, seemed to have a clearly stronger influence on trust than system quality in all models. Content quality showed stronger effect on trust for using professional online communities for knowledge provision than using for knowledge acquisition, while system quality was found to be a stronger predictor of trust in the use for knowledge acquisition. For effort expectancy, system quality tended to have a stronger influence than system self-efficacy in all models; however, the influence of system quality on effort expectancy tended to be more important when online communities are used for knowledge acquisition.As for moderating effects, the influence of performance expectancy on use for knowledge acquisition and the influence of personal outcome expectancy on use for knowledge provision were found to be moderated by users’ gender (stronger for men) and age (stronger for younger users), while the influence of performance expectancy on use for knowledge acquisition was found to be influenced by users’ experience (stronger for less experienced users)

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.siirretty Doriast

Advertisement Placement in Online Knowledge: The Effect of Advertisement Placement on Perceived Information Quality and Reuse of Online Q&A Services.

This study aimed to investigate the importance of managing perceived information quality in open knowledge sharing Q&A services. Especially, advertisement placement inside information is examined whether it has the effect on changing users’ perceived information quality, satisfaction, and behavior intention. One of the Q&A samples was randomly shown to the respondents, and their perceptions were surveyed. With a structured equation model and ANOVA test the data were analyzed. The results explain the effect that advertising information may bring about and also the results show that the individual perception on the additional advertisement placement may vary depending on the characteristics of information topics. In addition, this study implies the particular needs on controlling the advertisement placement inside the information of everyday topics and on managing. These results extend the understanding of the advertisement placement inside information of open knowledge sharing services and guide online information service managers to manage their information with more care placed on advertisement placement so as to increase user satisfaction and behavior intention

Factors Influencing Consumer Satisfaction and Use Intention of B2C E-Commerce Platforms on Chengdu, China

Purpose: This paper aimed to explore the factors influencing the satisfaction and use intention of B2C e-commerce platforms among residents in Chengdu. Research design, data, and methodology: The researcher used a quantitative survey method to conduct the study. The conceptual framework was based on the Technology Acceptance Model (TAM). The key variables included service quality, information quality, system quality, perceived ease of use, perceived usefulness, use intention, and satisfaction. The validity of the research instrument was assessed by The index of item-objective congruence (IOC), and a pilot test by Cronbach alpha coefficient reliability test. A questionnaire survey was conducted among 500 permanent residents in Chengdu. Additionally, confirmatory factor analysis and structural equation modeling were used as statistical analysis tools to evaluate the data. Results: The analysis revealed that service quality, system quality, and perceived ease of use significantly impacted use intention and satisfaction. System quality and information quality significantly affected perceived usefulness. Satisfaction had a significant effect on the use intention. On the contrary, information quality and perceived usefulness had no significant impact on use intention. Conclusions: The government and companies should facilitate users to use the platform and thus create a good experience so that they would want to use the B2C e-commerce platform for shopping