Purpose The use of learning management systems (LMSs) such as Google Classroom has increased significantly in higher education institutes during the COVID-19 pandemic. However, only a few studies have investigated instructors’ continued intention to reuse LMS. The purpose of this study is to investigate the factors that influence instructors’ intention to reuse an LMS in higher education institutes. Design/methodology/approach This study adopted a mixed-method research design. In the quantitative section, an integrated model of technology acceptance model and information system success model is proposed to explore the effects of system quality, service quality, information quality, perceived ease of use and perceived usefulness on instructors’ satisfaction and how their satisfaction will influence their intention to reuse Google Classroom in the future. In the qualitative section, to gain more understanding, instructors were asked to identify the challenges that inhibit the adoption of e-Learning technologies in public universities in Iraq and what are their recommendations to rectify them. Findings The findings revealed that service quality had no positive influences on the satisfaction of instructors, while other factors had varying levels of influence, the findings further showed that inadequate internet service and students lack of interest are the biggest challenges instructors faced during their experience with Google Classroom. Research limitations/implications To improve the generalizability of the results, future studies are recommended to include larger samples, in addition, further studies are also advised to take individual traits such as age and gender into consideration. Originality/value The outcomes of this study are expected to benefit researchers, policymakers and LMS developers who are interested in factors that affect instructors’ intention to reuse LMS in higher education institutes in developing countries.

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This research aims to understand the causes of employee turnover and retention strategies in an organization. Key research findings indicate that employees have several reasons to leave their workplaces, such as job stress, job satisfaction, job security, work environment, motivation, wages, and rewards. Furthermore, employee turnover has a huge impact on an organization due to the costs associated with employee turnover and can negatively impact the productivity, sustainability, competitiveness, and profitability of an organization. However, the organization must understand the needs of its employees, which will help organizations, adopt certain strategies to improve employee performance and reduce turnover. Thus, implementing strategies will increase job satisfaction, motivation and the productivity of individuals and organizations, which can reduce employment problems, absenteeism, and employee turnover.

Purpose Several countries have been using internet of things (IoT) devices in the healthcare sector to combat COVID-19. Therefore, this study aims to examine the doctors’ intentions to use IoT healthcare devices in Iraq during the COVID-19 pandemic. Design/methodology/approach This study proposed a model based on the integration of the innovation diffusion theory (IDT). This included compatibility, trialability and image and a set of exogenous factors such as computer self-efficacy, privacy and cost into the technology acceptance model comprising perceived ease of use, perceived usefulness, attitude and behavioral intention to use. Findings The findings revealed that compatibility and image of the IDT factors, have a significant impact on the perceived ease of use, perceived usefulness and behavioral intention, but trialability has a significant impact on perceived ease of use, perceived usefulness and insignificant impact on behavioral intention. Additionally, external factors such as privacy and cost significantly impacted doctors’ behavioral intention to use. Moreover, doctors’ computer self-efficacy significantly influenced the perceived ease of use, perceived usefulness and behavioral intention to use. Furthermore, perceived ease of use has a significant impact on perceived usefulness and attitude, perceived usefulness has a significant impact on attitude, which, in turn, significantly impacting doctors' behavior toward an intention to use. Research limitations/implications The limitations of the present study are the retractions of the number of participants and the lack of qualitative methods. Originality/value The finding of this study could benefit researchers, doctors and policymakers in the adaption of IoT technologies in the health sectors, especially in developing counties.

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