Sector Diversity among IT Professionals in the Timing of Blockchain Adoption: an Attitudinal Perspective

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Date

2022

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Kaunas Univ Technol

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Organizational Unit
Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.
Organizational Unit
Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

Blockchain technology has the potential to reshape the conventional ways of processes and transactions on digital platforms. Much of the attention surrounding blockchain is mainly focused on the technical and organizational aspects. Comparatively, little effort has been targeted towards understanding the attitudinal issues in blockchain adoption. This study aims to explore the role of attitudinal forms behind the intended timing of IT professionals' blockchain adoption, with an emphasis on the differences between the public and private sectors. A survey method was used where the data was collected from 208 IT professionals from public and private sector establishments in order to investigate how the different attitudes of the participants as well as the differences in their work sectors affect their intention to adopt blockchain. The data collected was analysed with ordinal logistic regression and the results indicate that the participants' affective, normative and pessimistic attitudes have a significant effect on the timing of blockchain adoption, and that these effects show differences among the IT professionals from the public and private sector. The findings are believed to provide valuable information to researchers and strategists in forecasting the future evolution of the blockchain technology in terms of individual utilization. The results also will provide feedback to managers of different sectors in making decisions regarding blockchain adoption, developers of blockchain services, as well as individuals who are interested in using blockchain.

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Blockchain, Attitude, Sector, Early Adoption, Late Adoption, Intention

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1

WoS Q

Q2

Scopus Q

Q2

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Volume

33

Issue

5

Start Page

461

End Page

472

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