Search results

This study investigates the extent to which support facilities are available, accessible and satisfactory and the relationship between support facilities and academic adjustment among first-year university undergraduates.

This research adopted a survey research design. A simple random sampling technique was used to select six faculties at the Federal University Oye-Ekiti, Nigeria. Six hundred first-year students took part in the study. The Support Facilities and Academic Adjustment Questionnaire (SSAAQ) was adapted and used for data collection. Descriptive statistics, Pearson product-moment correlation and the t-test were used to analyse the data.

The study revealed that the extent of the availability of support facilities is low, accessibility is moderate while the extent of satisfaction is high in the study context. Significant positive relationship exist between support facilities and academic adjustment, in favour of female first-year undergraduates. The challenges faced by first-year undergraduates were highlighted.

Nigerian students are confronted with accessing important components of support facilities at tertiary institutions. These student face additional hurdles in accessing support facilities at universities because of their socioeconomic status but were not explicit in identifying the exact nature of the challenges they experience. There is dearth of literature regarding the extent of availability, accessibility, as well as the challenges encountered by first-year students and their satisfaction in accessing the university’s support facilities, vis-à-vis its relationship to their academic adjustment in the university amidst gender differences. This current study fills this gap in the literature.

This paper aims to investigate the factors influencing chief executive officers’ (CEOs') intentions to implement cloud technology in Italian small and medium-sized enterprises (SMEs).

The study proposes a model that integrates the theoretical construct of the technology acceptance model (TAM) with a classification of perceived benefits and risks related to cloud computing. The study employs a structural equation modeling approach to analyze data gathered through a Likert scale-based survey.

The findings indicate that risk perception has a strong negative effect on the intention to introduce cloud technology in firms. This effect is partially offset by the perceived ease of use of the technology.

The study provides a new theoretical framework that integrates the TAM and a classification of perceived risks to provide a clear view of management's cognitive processes during technological change. Moreover, the results show the main factors influencing decisions regarding the implementation of cloud computing in firms in light of the perception of risks. Finally, this study provides interesting findings for cloud service providers (CSPs) about their customers' decision-making processes.