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In general, software development work environments involve many different tasks and have high demands on efficiency and quality of performance at both individual and team levels, which depend on the competencies of employees. However, the literature does not provide satisfactory evidence as for the characteristics and competencies of individuals. Especially, the employers’ expectations of new graduates have not been investigated in detail for different work environments. The purpose of this paper is to examine employers’ expectancies regarding technical, personal and educational competencies among IT-graduated employees to provide a comparison between individual and team work settings.

A survey approach was used for this purpose, and the research model was tested using multiple regression.

The results revealed that significant diversity exists in individual and team work settings regarding employers’ expectations for new graduates’ competencies in terms of adapting to new software development methods and approaches, using time effectively and experience gained in undergraduate projects.

The results of this study will yield insight to computer-related departments in curriculum development by providing a comparison between the varying competencies required in individual and team work settings from the employer’s perspective. In the long run, the aim is to meet employers’ demands of the new graduates’ competencies, resulting in better individual and team performances in information technology companies, thereby leading to successful software development.

Blockchain is a relatively new technology. Although it has a high potential to influence organizational strategies for adoption into respective operations, it has not been widely explored yet. This study aims to assess the sectoral diversity in the timing of organizational adoption of blockchain through selected organizational factors.

A survey was conducted based on a sample of 208 IT professionals. The data was collected using an instrument containing 17 questions. The existence of sector diversity was statistically analyzed using the Least Square Regression method.

The results indicate that, except for management support and perceived ease of use, all the other factors in the analysis significantly influence sector diversity in terms of blockchain adoption timing.

Although blockchain has received attention from researchers, to the best of the authors' knowledge, there is no published work in the literature that explores the organizational factors influencing sectoral differences in the timing of blockchain technology adoption. Therefore, our work is unique in the related literature since we present analyses for the diversity between public and private sectors by modeling the factors affecting the intentions for the timing of blockchain adoption as part of the organizations' IT infrastructure.