Purpose This study aims to explore the factors that affect online knowledge sharing among the scientific performance of academics at the University of Mosul, Republic of Iraq. Design/methodology/approach Data were collected by using a random sample by means of an electronic questionnaire distributed to 211 academics at the University of Mosul via online platforms. Structural equation modeling was used to test hypotheses using AMOS 24 software. Findings The results showed that collaboration, perceived flexibility and willingness to share had a significant effect on online knowledge sharing behavior and that which in turn had an effect on the academic performance of respondents, while the results showed no influence of knowledge self-efficacy and communication on the behavior of online knowledge sharing. Research limitations/implications In this research, the effects of five factors on online knowledge sharing behavior were studied, in addition to the effect of the latter on academic performance. The research did not study the effect of the participants’ personal characteristics on the behavior of knowledge sharing online, which could be an area of future investigation. The study was limited to online knowledge sharing for academics working in public universities, and the authors suggest conducting a future study from the perspective of medical staff working in hospitals and its impact on their performance. Practical implications Based on the findings of the current study, this study suggests that the academic staff at the University of Mosul and similar universities pay attention to scientific cooperation between researchers and teaching staff, by creating online groups to carry out joint research projects that contribute to sharing knowledge among participants through social media in general and scientific platforms in particular. Establishing a scientific research portal could serve this well for example. Originality/value Most previous studies have focused on areas related to knowledge sharing in higher education institutions from the traditional perspective and therefore studies that examine the factors affecting online knowledge sharing among academics are limited, so this study fills this gap. This paper focuses on identifying the scientific benefits for academics through knowledge exchange and the use of electronic platforms at the University of Mosul. The study is expected to contribute to enhance the exchange of knowledge online between academics in similar universities in Asia and Africa due to the convergence of cultures and the nature of the work of these universities, as well as the possibility of generalization due to the research’s use of the deductive method.

This study aims to identify the acceptance of Internet of Things (IoT) technologies, by medical care providers, in healthcare institutions in Nineveh Governorate. The study uses the deductive approach through the Technology Acceptance Model (TAM2). The survey was conducted using an electronic questionnaire prepared based on several studies in this field. The data population included physicians, dentists, and pharmacists with the sample size being 341. Structural equation modeling was used to test the hypotheses of the study. The results revealed that job relevance and result demonstrability have a significant impact on the perceived usefulness of using IoT technology in the medical field, whereas, job relevance, output quality, perceived ease of use, and subjective norms have no direct impact on the perceived usefulness of this technology. Furthermore, the participant-perceived benefit does not significantly influence behavioral intent.

The study aimed at the following: measuring the digital divide in Iraqi society from the perspective of the information society. The research started from a main problem, which is: What is the size of the digital divide in Iraqi society from the perspective of the information society? The research relied on the descriptive analytical approach, and a questionnaire was designed and distributed to the information society in Iraq, by using the purposive sampling, with 184 questionnaires, and the data were entered into the SPSS program and analyzed. The research also reached a set of conclusions and recommendations, the most important of which are the following: there is large digital divide in the Iraqi society according to the information society view. The research also made the following proposals: Working to reduce the digital divide in Iraq by relying on improving the reality and quality of the services provided in all geographical areas in Iraq, in addition to working on training and developing the technical skills of employees and users of those technologies.

Understanding the effects of information technology infrastructure flexibility (ITIF) and behavioural biases on investment decisions will help investors make more informed choices. Due to a lack of investment and decision-maker biases, Iraqi universities' IT infrastructure is not well developed, resulting in low performance. However, few studies look into the causes of this phenomenon. This study aimed to investigate the impact of ITIF and behavioural biases on investment decision making and their impact on organisations' performance. A total of 209 valid responses from decision-makers in private universities of the Republic of Iraq are analyzed. A set of statistical analyzes are performed with SmartPLS software. The results show that there is a significant impact of ITIF factors and behavioural biases on investment decision making. Also, investment decision making influences organizational performance. The research confirms the significance of ITIF and behavioural biases as critical indicators of organizational strategic decision making.