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The book discusses the cognitive factors responsible for influencing library users' information seeking behavior. In order to develop the variables, Vroom's Expectancy Theory of motivation was used. A descriptive survey method was utilized to study a sample size of 384 students spread across four main schools: (i) Education, (ii) Business Studies, (iii) Humanities and Social Sciences and (iv) Science and Technology. Results confirmed that expectancy theory can be utilized to explain students' information-seeking behavior. Three different groups - some with strong, others with medium, and the…mehr

Produktbeschreibung
The book discusses the cognitive factors responsible for influencing library users' information seeking behavior. In order to develop the variables, Vroom's Expectancy Theory of motivation was used. A descriptive survey method was utilized to study a sample size of 384 students spread across four main schools: (i) Education, (ii) Business Studies, (iii) Humanities and Social Sciences and (iv) Science and Technology. Results confirmed that expectancy theory can be utilized to explain students' information-seeking behavior. Three different groups - some with strong, others with medium, and the rest with weak influences - were found. Interaction service quality, driven by students' perception of service quality was found to be the most critical. Information needs satisfaction together with student users' perception of service quality among others informed their level of satisfaction with the overall service. The findings support the idea that understanding cognitive information behavior can help university libraries to plan more appropriate services. The implication of this findings is that there are particular key cognitive drivers that trigger users' information seeking behavior.
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Autorenporträt
El Dr. Daniel Wambiri tiene una larga experiencia como presidente y profesor titular del Departamento de Bibliotecas y Ciencias de la Información, así como director de desarrollo profesional y programas de tutoría en la Universidad de Kenyatta.Johnson Masinde es profesor en la Universidad Maasai Mara y finalista de doctorado (Ciencias de la Información) en la Universidad Normal de China Central.