This study aimed to examine the level of employee satisfaction in companies where e-learning is used as a corporate training tool. For this purpose, first two levels, reaction and learning, of Kirkpatrick's classic 4-level evaluation model are used. End-user surveys are taken into consideration for the reaction level and results of the posttests are used for the learning level. Regression analyses are made to determine the effects of gender, age, work experience, education level, job level and e-learning interactivity level of the employees on the reaction-based and learning-based satisfaction of the e-learners.

It is hard to choose places to go from an endless number of options for some specific circumstances. Recommender systems are supposed to help us deal with these issues and make decisions that are more appropriate. The aim of this study is to recommend new venues to users according to their preferences. For this purpose, a hybrid recommendation model is proposed to integrate user-based and item-based collaborative filtering, content-based filtering together with contextual information in order to get rid of the disadvantages of each approach. Besides that, in which specific circumstances the user will like a specific venue is predicted for each user-venue pair. Moreover, threshold values determining the user’s liking toward a venue are determined separately for each user. Results are evaluated with both offline experiments (precision, recall, F-1 score) and a user study. Both the experimental evaluation with a real-world dataset and a user study of the proposed system showed improvement upon the baseline approaches.

Social media has started to play a crucial role in people’s lives. However, excessive social media usage can bring with social media addiction that causes failure in different aspects of people’s lives such as academic life, business life, and even in private life. The main aim of the present study is to discover the impacts of specific behavioral factors, which are openness, loneliness, self-esteem, life satisfaction, creativity, stress, neuroticism, social intelligence, and narcissism, on social media addiction. A survey was conducted with 506 participants. The results of these analyses showed that while demographical factors which were gender, marital status, age, and education level affected social media addiction, income status and occupation had no influence on social media addiction. Moreover, positive relationships between openness and creativity, openness and self-esteem, self-esteem and life satisfaction, loneliness and neuroticism, and negative relationships between self-esteem and neuroticism, life satisfaction and stress were detected.