Knowledge is an essential resource to academic institutions, but its management especially in the developing countries has always been very difficult. A KM model is developed in this study to manageinstitutional resources and makesame available at the right time towards enhancing academic performance. Quantitative research approach was adopted over content analysis to evaluate data obtained through the review of the past related works on KM models. The study framework is based on some established models and is integrated into the university process activities. It links institutional knowledge to capabilities and KM system to ensure best practices and promote academic performance.
Background: Ever since social network sites (SNS) became a global phenomenon in almost every industry, security has become a major concern to many SNS stakeholders. Several security techniques have been invented towards addressing SNS security, but information security awareness (ISA) remains a critical point. Whilst very few users have used social circles and applications because of a lack of users’ awareness, the majority have found it difficult to determine the basis of categorising friends in a meaningful way for privacy and security policies settings. This has confirmed that technical control is just part of the security solutions and not necessarily a total solution. Changing human behaviour on SNSs is essential; hence the need for a privately enhanced ISA SNS.Objective: This article presented sOcialistOnline – a newly developed SNS, duly secured and platform independent with various ISA techniques fully implemented.Method: Following a detailed literature review of the related works, the SNS was developed on the basis of Object Oriented Programming (OOP) approach, using PhP as the coding language with the MySQL database engine at the back end.Result: This study addressed the SNS requirements of privacy, security and services, and attributed them as the basis of architectural design for sOcialistOnline. SNS users are more aware of potential risk and the possible consequences of unsecured behaviours.Conclusion: ISA is focussed on the users who are often the greatest security risk on SNSs, regardless of technical securities implemented. Therefore SNSs are required to incorporate effective ISA into their platform and ensure users are motivated to embrace it.
Background: Social networks (SNs) offer new and exciting opportunities for interaction among people, cutting across different stratum of the society and providing a ubiquitous mechanism that supports a wide variety of activities. They are at the same time being exploited by criminals to fraudulently obtain information from unsuspecting users. Unfortunately, the seamless communication and semblance of safety assumed by most users make them oblivious to the potential online dangers.Objective: Using quantitative methods on selected social sites, this study empirically examined the information security awareness of SN users in south western Nigeria.Method: A self-designed research instrument was administered for data collection while descriptive and inferential statistics were employed using chi-square, cross-tabulation and t-test for data analysis and result interpretation.Result: Findings from the analysed data suggest that the risk perception vary among male and female SN users and that the general perception of risks regarding SN usage is also very low.Conclusion: Adequate security awareness coupled with detailed legal measures are required to keep SNs secured. However, an individual is duly responsible for the habit of ignoring potential risks posed by the networks.
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