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Competitive universities try to improve their reputation to attract the best students as university reputation is a significant factor affecting the decision of a student. In this context, universities need a systematic management plan to improve their reputation among the stakeholders. This study aims to identify the factors affecting university reputation with the University Reputation Model. This model includes quality of services, emotional appeal, employee competence, academic leadership, student orientation, and social responsibility as possible factors affecting university reputation. .

Survey methodology was used in the current study. A total of 1000 questionnaires were collected from the stakeholders: students, alumni, academic and administrative staff. A structural equation modeling technique was used to analyze the data.

According to the results, quality of services and emotional appeal affect university reputation directly. Furthermore, employee competence, academic leadership, and student orientation have indirect effects on university reputation with the mediating effect of quality of services. Besides, emotional appeal mediates the effect of student orientation and social responsibility on university reputation.

A University Reputation Model is developed to explore significant direct and indirect effects of employee competence, academic leadership, student orientation, and social responsibility on the quality of services, emotional appeal, and university reputation. Furthermore, a measurement instrument applicable to various stakeholders of a university is developed. Additionally, large-scale data is collected from the stakeholders in Turkey to increase the validity of the findings.

The purpose of this paper is to apply Value Added Intellectual Coefficient (VAIC™) of Pulic to compare quoted information technology and communication companies on the Istanbul Stock Exchange (ISE), in terms of intellectual capital efficiency. This study also examines VAIC™, and its components' impact on company performance.

Multiple regression analysis was employed to identify the variables that significantly contribute to the company performance. Data required to calculate VAIC™ and its components were obtained from the 2005‐2007 annual reports and balance sheets of the companies.

As a whole, all the companies had a relatively higher human capital efficiency than structural and capital efficiencies. In 2007, Turkcell was the most efficient company based on VAIC™ assessment, while Link Bilgisayar and Plastikkart were the least efficient companies. Additionally, the results of the study revealed that factors such as human capital efficiency, firm leverage, and firm size, predicted profitability well. Among them, human capital efficiency had the highest impact. In addition, capital employed efficiency was found to be a significant predictor of both productivity and return on equity, and the only determinant of market valuation was the firm size.

This study allowed ITC companies to benchmark themselves according to the intellectual capital efficiencies and develop strategies to enhance their company's performance.

This study is the first that measures intellectual capital performance and its impact on the company performance of the quoted information technology and communication companies on the ISE.

The present study aims to examine the effect of learning orientation (commitment to learning, shared vision, open‐mindedness) on the product innovation performance (product innovation efficacy and efficiency) of companies in Turkey.

A structural equation‐modeling approach was applied to identify the variables that significantly affected the product innovation performance. Using LISREL 8.54, the data collected from 150 companies were used to test the proposed research model.

Empirical testing of the research model revealed that open‐mindedness was the sole predictor of product innovation efficacy as well as efficiency. However, the effects of shared vision and commitment to learning on the product innovation performance were found to be insignificant.

Relevant implications are provided for management as to how to improve product innovation performance.

The present study puts forward a theoretical model that identifies and explains the relation between the learning orientation and product innovation performance of companies operating in Turkey.

The purpose of this study is to determine the relative importance of the usability and functionality factors for online auction and shopping web sites from the perspective of young consumers.

The Analytical Network Process (ANP) was used to analyse the relative importance of the usability and functionality factors.

The findings show that customers of online auction and shopping web sites give higher priority to usability and usability factors than to functionality, with navigation and interaction being the factors of highest relative importance.

First, customers assign higher priority to usability factors. Thus, early in the design phase, designers should attach more importance to navigation‐ and interaction‐related aspects of their web sites. Second, designers of web sites should include basic and advanced search options to increase the number of the web site users.

The study is the first to examine the relative importance of the usability and functionality factors of online auction and shopping web sites. Furthermore, the study fills this gap by identifying the complex interrelationships between various features of usability and functionality, and their impact on each other, by examining two Turkish online‐auction and shopping web sites.

The purpose of this paper is to examine various factors affecting users' behavioral intention to use (BIU) enterprise resource planning (ERP) systems, based on data from 75 potential end‐users of ERP systems.

A survey methodology is used to gather data. The research model is constructed based on the findings of the previous studies.

The results indicate that subjective norms, perceived usefulness (PU) and education level are determinants of BIU the system. In addition, PU affects attitude toward use, and both perceived ease of use (PEOU) and compatibility affect PU. In addition, among personal characteristics, education level has a significant effect on PEOU and behavioral intention. However, there is no significant relationship between attitude and behavioral intention.

As the sample is limited, the findings will require validation among other populations.

This paper provides evidence that compatibility and PEOU are important for the users to perceive the system's usefulness. Also, subjective norm is very important for the BIU the ERP systems.

This paper combines technology acceptance model, theory of reasoned action and innovation diffusion theory with personal characteristics of gender, education level and experience to determine the factors important for the acceptance of ERP systems.

The purpose of this paper is to explore the effects of stressors (role ambiguity, role conflict, work‐overload, work‐family conflict), job stress, job satisfaction and organizational commitment on the information technology (IT) professionals' intention to quit their jobs in Turkey.

A structural equation modeling approach was employed to identify the variables that significantly affect the decision to quit. Using LISREL 8.54, data collected from 204 IT professionals were used to test the proposed research model.

The results revealed that intention to quit one's job is explained by job satisfaction and organizational commitment. Besides, role ambiguity and job stress exert negative indirect effects on the intention to quit one's job. Additionally, organizational commitment is strongly explained by job satisfaction, and job satisfaction is predicted by role ambiguity and job stress.

The study offers several significant suggestions for the continuity of IT professionals in companies.

There are two contributions of this paper. First, this study provides evidence for the impact of stressors, job stress, job satisfaction and organizational commitment on intention to quit jobs among IT professionals in Turkey. Second, it also provides insight into the importance of stress factors by dividing the stressors into specific stress factors such as work‐family conflict, work‐overload, role conflict, and role ambiguity.