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Cybercrimes increase day by day in parallel to cyber-attacks and cyber-threats. Due to such an increase, required cybersecurity precautions against all kinds of cyber-attacks and cyber-threats should be taken by both organizations and individuals. This study aims to develop a reliable and valid measurement tool to measure cybercrime awareness levels of individuals.

In this study, a scale named as Cybercrime Awareness Scale (CAS) has been developed and psychometric properties of the scale have been tested by two separate studies.

The first study included a total of 500 respondents (294 female and 206 male). In the first study, factor structure of the proposed scale has been determined through an exploratory factor analysis. The results revealed a three-factor structure (i.e. information systems crimes, personal data crimes, and privacy and security). Cronbach's alpha reliability coefficients for the subdimensions were 0.95, 0.92, and 0.90, respectively. The sample of the second study consisted of 494 respondents (281 female and 213 male). The confirmatory-factor-analysis results revealed that three-factor structure is valid and optimal model. Further, the proposed scale demonstrated moderate concurrent validity results in relation to the Digital Data Security Awareness Scale.

Findings indicated that the CAS is a valid and reliable measurement tool to measure individuals' cybercrime awareness level. This study makes a novel contribution to the existing cybersecurity literature by providing the CAS, which is developed by following rigorous methodological standards.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0023/

The purpose of this paper is to investigate the mediating role of psychological needs in the association between individualism and internet addiction.

A mixed-method design was used by comprising of 602 college students’ (70.3 percent women) responses obtained through the Individualism-Collectivism Survey, New Needs Assessment Questionnaire, and Internet Addiction Scale. Structural equation modeling techniques were used to investigate the theoretical relationships among the constructs. Constant comparative method was employed to analyze qualitative data that resulted from the transcription of semi-structured interviews with 12 field experts.

Quantitative results showed that individualism has a significant effect on internet addiction through affiliation, dominance, achievement, and autonomy (i.e. psychological needs). As students’ needs for dominance, achievement, and autonomy increased their internet addiction levels decreased. However, increase in the need of affiliation led to increase in the likelihood of internet addiction. Qualitative findings suggested alternative ways to satisfy psychological needs in socially more proper ways.

Psychological needs and internet addiction have long been investigated both independently and in relation to each other. However, the investigation of espoused culture (i.e. individualism) in relation to psychological needs and internet addiction is relatively recent. A review of the recent literature showed that an investigation of the mediating role of psychological needs in the effect of individualism on internet addiction is highly original. Moreover, initial quantitative results and follow-up qualitative findings help the authors understand psychological needs underlying internet addiction and suggest socially more appropriate means to satisfy these needs. Findings have theoretical values for researchers as well as practical values for those who work with students.

The main purpose of this paper is to identify the technological innovation process, stakeholders of the process, sources of innovation, driving forces of innovation, and obstacles of innovation for the Turkish public sector.

In this paper, interviews are used as data‐collection methods. For the purpose of this paper, the researcher has conducted a series of semi‐structured or open interviews. The interviews are recorded and transcribed. In addition, information related to the technological‐innovation projects performed in the public organizations is collected from documents, books, and governmental reports. A total of 20 organizations have been conducted to participate in the study; however, only 14 of them are retained after consideration of the selection criteria. In addition, 28 e‐government projects that lead innovation are analyzed.

Results of the study show that external relations with stakeholders enhance the innovation process. Innovation emerges as a result of interaction between the stakeholders. Innovation process has four main stages and six steps. Stages of the innovation process are idea generation, project development, production, and innovation. Six steps of the innovation process are idea, project study, project approval, project implementation, new services, and innovation. Innovation starts with idea generation in the first stage. New ideas can be generated by the personnel of the organization, legislation, citizens, and other firms. After idea generation, the new ideas should be conceptualized projects in order to reach innovation. Innovation cannot be achieved due to some obstacles. The main obstacles in the public sector can be listed as legislation, lack of qualified staff, approval authority, and bureaucracy. Production as the third stage can only start after overcoming the mentioned obstacles. Project implementation is performed in the fourth step and a new service is acquired in the fifth step. Innovation is the last stage of the technological innovation process where diffusion of the new service is performed in order to innovate in the organization.

The significant findings of this paper may help managers for long‐term planning of innovation activities and they may pave the way of managers for their innovation projects by means of determining unclear innovation process and identifying the inputs and outputs of the process. Moreover, this paper is a guide for the managers in public organizations; finding out possible obstacles, identifying driving forces to accelerate the innovation process, emphasizing the importance of interaction between the stakeholders.

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.

The present study is descriptive research in terms of purpose, descriptive analysis in terms of nature and cross-sectional research in terms of time. The study’s statistical population includes all employees and managers of the China City Organization selected as sample members using random sampling method and Krejcie table of 242 people. The questionnaire was modified and revised based on the goals, tasks and mission of the target organization to collect information. In data analysis, due to the normality of data distribution, the structural equation modeling method is used to evaluate the causal model, reliability and validity of the measurement model. Evaluation and validation of the model are done through the structural equation model. Questionnaire-based model and data are analyzed using Smart PLS 3.0. The main purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.

New technologies require innovative approaches for creating valuable opportunities in an organization to integrate the physical flows of goods and services and financial information. Today, cloud computing is an emerging mechanism for high-level computing as a storage system. It is used to connect to network hosts, infrastructure and applications and provide reliable services. Due to advances in this field, cloud computing is used to perform operations related to human resources. The role, importance and application of cloud computing in human resource management, such as reducing the cost of hardware and information software in hiring, job planning, employee selection, employee socialization, payroll, employee performance appraisal, rewards, etc., is raised. This way, human resource management teams can easily view resumes, sort candidates and observe and analyze their performance. Cloud computing is effective in implementing human resource payroll management systems. Therefore, the primary purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.

Testing the research hypotheses shows that the dimension desirability of ability and acceptance is provided in dimensions related to the minimum conditions required to implement cloud computing technology in the organization. For this reason, the feasibility of implementing the systems based on cloud computing in companies must be considered.

This study also has some limitations that need to be considered in evaluating the results. The study is limited to one region. It cannot be assured that the factors examined in other areas are effective. The research design for this study is a cross-sectional study. It represents the static relationship between the variables. Since cross-sectional data from variable relationships are taken at a single point in time, they are collected in other periods. As a proposal, future researchers intend to investigate the impact of Enterprise Resource Planning (ERP) systems based on cloud computing.

The research also includes companies, departments and individuals associated with systems based on cloud computing.

In this paper, the feasibility of implementing the human resource payroll management system based on cloud computing is pointed out, and the approach to resolve the problem is applied to a practical example. The presented model in this article provides a complete framework to investigate the feasibility of implementing the human resource payroll management system based on cloud computing.

The purpose of this study is to examine the extent of production of digital book titles and deployment of e-promotion and how they correlate with school, library, bookshop, consumer and author readiness, with a view to enhancing publishers’ understanding of and participation in e-publishing, which is now crucial for growth and sustainability

A questionnaire was completed by 109 publishing firms, 79 publishing websites were observed in search of digital titles and e-promotion, and data were analysed using the SPSS to compute frequencies, percentages and correlates of digital publishing innovation adoption

It is found that 2014 digital titles (mainly textbooks and scholarly content) were issued in four formats by 33 out of 109 firms. Authors and consumers were perceived to be more digital-ready than libraries, schools and bookshops. There was a significant relationship between the issuance of digital titles and author readiness (r = 0. 372), consumer readiness (r = 0.338) and library readiness (r = 0.255). There was also a significant relationship between the adoption of e-promotion and consumer readiness (r = 0.381) and author readiness (r = 0.265).

Book publishing innovation research, especially in Africa, focuses mainly on the adoption of mobile devices, infrastructural challenges and reading habits, paying inadequate attention to the correlates of digital publishing adoption. The results of this study, therefore, shed light on the correlates of digital publishing adoption and should help interested publishers and scholars to understand that author, consumer and library readiness are important determinants of digital publishing adoption, especially in developing economies.

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.

Nowadays, communications, products, services and costs are customized through the internet technology. The main theory to continue competitiveness in the organizations is customer relationship management (CRM). CRM enables organizations to efficiently interact with customers and gather, store and examine their data for providing a complete view of them. On the other hand, the subject of cloud computing has increasingly become the bridge for the success of the CRM implementation. Therefore, this study aims to investigate the impact of cloud computing (new cloud facility, knowledge of information technology (IT), cloud security and cost) on the success of CRM systems.

The model and the questioners-based data are analyzed using the Smart PLS 3.0. The data were gathered based on 80 employees of three main agricultural companies in Iran.

The obtained results have indicated that all of the considered factors, new cloud facilities, knowledge of IT, cloud security and cost, play an important role in CRM systems’ success. Also, the evaluation and examination of the consistency and validity of the model are performed through the structural equation model.

First, the authors have conducted a study in a single region. It cannot be guaranteed that the results can be generalized to other regions. Second, for this cross-sectional study, the research design was conducted that showed constant relationships between variables. The research done for this study is cross-sectional. Third, because of time and financial restrictions, the authors have gathered data using a sample from a single location.

Proposing a new model for investigating of the impact of cloud computing (new cloud facility, knowledge of Information Technology (IT), cloud security and cost) on the success of CRM systems is the main originality of this paper.

The impact of the COVID-19 pandemic provides the scope to conduct online classes in the university teaching methods. This study aims to investigate the impact of technology self-efficacy on students' behavioral intention on the effectiveness of online learning.

This study was conducted with 323 university students using the online survey platform. Data analysis was acquired by implementing the partial least squares technique to obtain the results.

The findings revealed that the COVID-19 pandemic affects technology self-efficacy. Technology self-efficacy has a significance on perceived usefulness (PU) and ease of use, which influences students' behavioral intention to use online learning effectively. The results identified that user innovativeness facilitated the relationship between PU and behavioral intention to use online learning efficiency.

This study has a significant insight into the higher educational institutes and academia that lessons from the impact of the COVID-19 pandemic on technology self-efficacy toward online learning effectiveness.