7,305 research outputs found

    Faculty Guide 2015-2016

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    Faculty Guide 2017-2018

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    Information Services Annual Report 2016-2017

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    Information Services Major Objectives, 2017-2018

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    Faculty Guide 2016-2017

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    Quality model for semantic IS standards

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    Semantic IS (Information Systems) standards are essential for achieving\ud interoperability between organizations. However a recent survey suggests that\ud not the full benefits of standards are achieved, due to the quality issues. This\ud paper presents a quality model for semantic IS standards, that should support\ud standards development organizations in assessing the quality of their\ud standards. Although intended for semantic IS standards the potential use of\ud this quality model is much broader and might be applicable to all kind of\ud standards

    Faculty Guide 2014-2015

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    Inside Information Spring 2017

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    Profiling Tourists for Balanced Utilization of Tourism-Based Resources in Kenya

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    Kenya is predominantly a nature-based tourism destination with wildlife (concentrated in the southern part of the country) and beaches (along the Indian Ocean) accounting for over 85% of the international tourists visiting the country. Other attractions are based on the physical landscape of the country and the culture of the people. Unfortunately, the full potential of culture-based attractions has not been exploited. The over-concentration of tourism activities in wildlife protected areas and on the coastal zone has had inherent problems that include severe environmental degradation. The less visited attractions stand the risk of neglect and could be eroded from the nation’s heritage with time. There is need to diversify tourism activities and spread them to other parts of the country by putting more emphasis on non-traditional ones such as cultural excursions. This research profiles tourists based on their preferences as assessed from the number of days they spend at different attraction sites. By associating the characteristics of tourists with various attractions, consumer preference profiles were established. Length of stay, presence of children, travel party size and gender are some of the significant factors that determined the profiles. Profiles can be used in encouraging proportionately more tourists with greater affinity for non-traditional attractions. Besides gender, other factors such as socio-economic status and whether one is travelling as a couple or not, turned out to be significant variables in influencing the resulting expenditure levels.Tourist profiles, Attractions, Culture, Expenditure, LISREL, Kenya
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