Abstract The objective of this study was to develop an integrated model for the adoption of MIS in Telecommunication organizations. The questionnaire was used to collect primary data and the collected data were analyzed by using AMOS. The response rate in this study was 60.57%. 382 effective cases were analyzed with the SEM technique to validate the proposed model. The findings showed... The objective of this study was to develop an integrated model for the adoption of MIS in Telecommunication organizations. The questionnaire was used to collect primary data and the collected data were analyzed by using AMOS. The response rate in this study was 60.57%. 382 effective cases were analyzed with the SEM technique to validate the proposed model. The findings showed that system quality, information quality, computer self-efficacy, computer experience impacted on perceived usefulness. In addition, system quality, and information quality, user training, computer experience, and perceived usefulness impacted on user satisfaction. Moreover, perceived usefulness impacted on individual performance. The findings of this study may be helpful to organizations, mainly information systems department, in the area of successful adoption of information systems. Organizations can utilize this model for successful adoption of MIS towards improving individual performance. Read More Read Less

Abstract Knowledge management (KM) is the process of creating, utilizing, sharing, storing and re-use of knowledge for making better organizational decisions due to the availability of relevant knowledge. The proper management of knowledge and proper utilization of human capital helps in creating innovation for running any successful business. Well-structured and well-managed knowledge and knowledge-based human capital lead to more constructive innovation. Knowledge management, HRM practices,... Knowledge management (KM) is the process of creating, utilizing, sharing, storing and re-use of knowledge for making better organizational decisions due to the availability of relevant knowledge. The proper management of knowledge and proper utilization of human capital helps in creating innovation for running any successful business. Well-structured and well-managed knowledge and knowledge-based human capital lead to more constructive innovation. Knowledge management, HRM practices, and organizational innovation was measured through instrument designed by Chen& Huang (2009). Primary data was collected through questionnaire from 100 employees of different public banks and 100 employees of different private banks. Co-relation was applied to find the effect of knowledge management on HRM practices and organizational innovation and also helps to find out that how much knowledge management enhances HRM practices and helps in bringing organizational innovation in public and private banks in Pakistan. T-test was used to measure the impact of knowledge management in public and private banks. This test requires two variables: one categorical, which was “organization” here; and other continuous variable, which was “Knowledge Management” here. Analysis showed that there was not a significant difference of knowledge management in public and private organization. The correlation was conducted to assess the effect of knowledge management on HRM practices. This test requires two continuous variables: one was “knowledge management” here, and the other was “HRM practices” here. The results yielded by the analysis showed that a positive relation between knowledge management and HRM practices that means knowledge management enhances HRM practices correlation was also used to access the effect of knowledge management on organizational innovation in public and private banks. This test requires two continuous variables: one was “knowledge management” here, and the other was “organizational innovation” here. The result of this test showed that there is a positive relation between knowledge management and organizational innovation that means knowledge management helps in bringing organizational innovation. Read More Read Less

Abstract When we talk about large data, we need to address the basic concepts to understand the nature of large data. Both technical professionals, technicians and business owners need to understand different types of large data components, basic technology, and concepts that support big data. The vast amount of data being produced, stored and made available from multiple sites is a major source of... When we talk about large data, we need to address the basic concepts to understand the nature of large data. Both technical professionals, technicians and business owners need to understand different types of large data components, basic technology, and concepts that support big data. The vast amount of data being produced, stored and made available from multiple sites is a major source of knowledge. These “massive data”, if properly managed, it will make an important contribution to UAE’s continued economic and social development. This paper aims to enhance public and private sector awareness of the challenges and opportunities presented by large data and to influence policy development processes and delivery of services in UAE. Read More Read Less