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Knowledge Management (KM) has become critical in today's highly competitive, uncertain, and rapidly changing business environment. The objective of this study is to measure the effects of knowledge management processes (knowledge acquisition, knowledge sharing, knowledge creation and knowledge retention) and knowledge management approaches (social networks, codification and personalization) on job satisfaction and examines how they increase employees' work performance. A theoretical model based on KM processes and approaches is proposed. It is empirically tested with structural equation modeling (SEM) and partial least squares (PLS) of survey data collected from employees of the King Fahd National Library in Jeddah, Saudi Arabia. The analysis showed that there is a significant and positive impact of KM processes and approaches on job satisfaction and work performance. Knowledge sharing, knowledge retention, codification and personalization approaches have significant impacts on job satisfaction, and knowledge acquisition, knowledge creation and a social network approach have no significant impacts on job satisfaction. Managers are advised to implement KM activities in their organizations to improve knowledge worker performance and the welfare of employees at work. This is the first study that theoretically examines the effect of knowledge management processes and knowledge management approaches on 'soft' human issues such as the job satisfaction and work performance of individual employees in an academic library.

Decision Support Systems (DSS) are popular tools that assist decision-making in an organisation. The importance of Knowledge Management (KM) is also recognised due to its contributions in decision-making in organisations. DSS have been synergised with knowledge management systems and have evolved from earlier concepts of "data processing" and Management Information Systems (MIS) to their current form as indispensable IS aid for decisionmaking. The most common application of the synergy of DSS and KM can be found in Group Support Systems (GSS). GSS support group functions like brainstorming, idea evaluation, and communication facilities. Links between Knowledge Management (KM) and Strategic Management of business are also discussed. KM has the potential of enabling businesses to gain competitive advantage through a detailed study of the environmental factors. This way, DSS are automatically viewed as key support functions, as they enable knowledge operatives and decision-makers to make well informed decisions through effective study of semi-and ill-structured variables in the external environmental factors.

The information system literature has long emphasized the importance of employee acceptance of information technology for achieving strategic goal of the firm and organizational performance. Consequently, this study investigates the determinants of acceptance of information technology with the extension of diffusion of innovation theory (DOI) in organizational context. Results showed that compatibility, innovativeness, trust in technology, perceived gap in IT capabilities, employee self-efficacy, and perceived cost advantage explained R^2 79.4%% variance in achieving strategic goal of the firm. The effect size analysis showed that perceived gap in IT capabilities had substantial effect size. Similarly, substantial predictive relevance was found Q^2 58.1%, 15.7% when predicting firm strategic goals and organizational performance respectively.

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data's predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.