Abstract User satisfaction is the degree to which a user believe that the system and the information available to them meets their requirements. The purpose of this paper is to identify the technological factors that impact on user satisfaction, and test the proposed model. In this paper various variables responsible for user satisfaction has been discussed such as system quality, information quality , and... User satisfaction is the degree to which a user believe that the system and the information available to them meets their requirements. The purpose of this paper is to identify the technological factors that impact on user satisfaction, and test the proposed model. In this paper various variables responsible for user satisfaction has been discussed such as system quality, information quality , and service quality. Data were collected quantitatively from employees working in two telecommunication companies in Yemen. 202 completed questionnaires were received. Data analyzed by using AMOS software and SPSS statistical program. The expected result of this study is develop model that show the impact of technological factors on user satisfaction. The model were tested with structural equation modeling techniques. This study found that there are significant relationship between information quality, and service quality with user satisfaction. Read More Read Less

Abstract Knowledge undoubtedly considered as the vital organizational asset in today’s economic scenario, is expected to provide sustainable competitive advantage. Managing knowledge deals with tacit knowledge residing in the minds of people, whereas the domain of Business Intelligence (BI) is explicit knowledge stored on the physical media. Irrespective of industry sectors, Knowledge Management (KM) practices are playing a critical role for business leading to... Knowledge undoubtedly considered as the vital organizational asset in today’s economic scenario, is expected to provide sustainable competitive advantage. Managing knowledge deals with tacit knowledge residing in the minds of people, whereas the domain of Business Intelligence (BI) is explicit knowledge stored on the physical media. Irrespective of industry sectors, Knowledge Management (KM) practices are playing a critical role for business leading to economic growth. With the rapid growth of abundant data in every organization and advanced techniques, firms have access to extensive pool of knowledge by gathering, analyzing, disseminating and storing of churned data, for decision making. The purpose of this research paper is to retrospect the literature reviews and publications from categories of KM, and BI. This article also highlights the reviewing studies of integration of both KM and BI. Moreover this manuscript is expected to expand the horizon for future research. Read More Read Less

Abstract A responsive web page plays critical role in the overall success of the online channels. It directly impacts user experience and also influences the search engine rankings. Most of the web systems use personalized web to provide relevant and contextual information to web users. Personalized web provide content, data and functionality based on various personalization parameters such as user interests,... A responsive web page plays critical role in the overall success of the online channels. It directly impacts user experience and also influences the search engine rankings. Most of the web systems use personalized web to provide relevant and contextual information to web users. Personalized web provide content, data and functionality based on various personalization parameters such as user interests, user preferences, user profile attributes, location, device, user navigation patterns, purchase behavior and such. Personalized web is a key business enabler to drive the user traffic and keep the web users engaged by providing useful information. One of the main side effects of personalized web is on the performance. Traditional performance optimization techniques cannot be scaled and reused for personalized web due to the dynamics of the personalized content and due to security/privacy concerns. In addition to relevant content, web users would also expect good performance in personalization scenarios. Web architecture needs to design for optimal performance in personalization scenarios for long-term success of web systems. In this paper we have tried to address this crucial issue by discussing various aspects of personalized performance optimization algorithms. We have discussed a novel approach using “Personalization performance Optimization” (PPO) framework that has resulted in 30% increase in page response times and 35% increase in cache hit ratio during our experiments. Read More Read Less