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COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. Considering the restricted and enclosed nature of prisons and closed environments and the prolonged and close contact between individuals, COVID-19 is more likely to have a higher incidence in these settings. This study aims to assess the prevalence of COVID-19 among prisoners.

Papers published in English from 2019 to July 7, 2023, were identified using relevant keywords such as prevalence, COVID-19 and prisoner in the following databases: PubMed/MEDLINE, Scopus and Google Scholar. For the meta-analysis of the prevalence, Cochrane’s Q statistics were calculated. A random effect model was used due to the heterogeneity in COVID-19 prevalence across included studies in the meta-analysis. All analyses were performed in STATA-13.

The pooled data presented a COVID-19 prevalence of 20% [95%CI: 0.13, 0.26] and 24% [95%CI: 0.07, 0.41], respectively, in studies that used PCR and antibody tests. Furthermore, two study designs, cross-sectional and cohort, were used. The results of the meta-analysis showed studies with cross-sectional and cohort designs reported 20% [95%CI: 0.11, 0.29] and 25% [95%CI: 0.13, 0.38], respectively.

Through more meticulous planning, it is feasible to reduce the number of individuals in prison cells, thereby preventing the further spread of COVID-19.

This study aims to address the following research questions: (1) What are the theoretical frameworks and areas of study that influence the development of service ecosystems? and (2) To what extent does a service ecosystem align with the theoretical concepts presented in other research contexts within the study areas, thereby transforming the fundamental structure of the core concept?

We conducted a bibliometric systematic literature review, analyzing 280 papers from a sample of 52 journals listed in the Association of Business Schools (ABS). The review covered the period between 2004 and 2022, and we utilized co-citation analysis, multi-dimensional scaling analysis and hierarchical cluster analysis (HCA) on a total of 2,614 citations.

This study employs co-citation analysis to identify the conceptual structure of the service ecosystem based on highly cited papers. Additionally, we utilize multidimensional scaling (MDS) to uncover key approaches driving service ecosystem research. Through HCA and network analysis, we examine the research scope and its development, emphasizing theory-driven approaches. By combining quantitative and qualitative analysis, we explore the interrelationships between scope, domain and evolution. This comprehensive analysis allows us to delve deeply into the study of service ecosystems. To broaden the research scope, we propose a conceptual framework for comparing the main components of a service ecosystem. The current paper clarifies the service ecosystem's intellectual structure, including service performance, humanistic approach, sustainable innovations and service reflexivity and reformation and proposes a prospective research framework for specialists and researchers by introducing a metaverse service ecosystem.

For the first time, the findings of this study shed light on processes that facilitate the flow of technologies, business models and markets through social structures, ultimately contributing to social change. In service-based systems, the development and application of a more humanistic approach within and surrounding social service ecosystems are crucial as they evolve. Therefore, adopting a dynamic and multifaceted approach offers valuable insights into the drivers of value creation.

Drawing on the Job Demands-Resources (JD-R) theory, the primary goal of this study is to conceptualise and empirically validate a theoretical framework that explains the process by which digital job resources influence the innovative work behaviour of technological professionals. Specifically, this study aims to examine the impact of digital job resources, especially digital training, and digital communication, on employee digital engagement. Furthermore, it investigates the influence of digital engagement on digital leadership and the effect of digital leadership on innovative work behaviour. Lastly, the study examines whether digital engagement and digital leadership serially mediate the relationship between digital job resources and innovative work behaviour.

Data were collected from full-time technological professionals using multiple sampling techniques. A total of 307 samples were utilised for the final data analysis. Partial Least Squares Structural Equation Modelling (PLS-SEM), employing SmartPLS 4.0, was used to test the study hypotheses.

The findings of this study emphasize that digital engagement and digital leadership are pivotal in mediating the impact of digital communication on technological professionals' innovative work behaviour. Specifically, our results show that digital communication significantly shapes the digital engagement of these professionals. Digital engagement, in turn, positively influences digital leadership, which then fosters technological professionals’ innovative work behaviour. Notably, both digital engagement and digital leadership serve as mechanisms that link digital communication and innovative work behaviour. Contrary to our initial expectations, the study finds that digital training neither directly affects digital engagement nor has an indirect effect on innovative work behaviour.

The present study is distinct in offering a theoretical framework outlining the steps through which digital resources influence technological professionals' digital engagement, digital leadership capabilities, and their innovative work behaviour. Prior studies have predominantly focused on antecedents of innovative work behaviour, with an emphasis on individual characteristics and organisational environmental factors. There is limited research exploring how, or even if, digital job resources – such as digital training and digital communication – affect employees’ innovative work behaviour. Additionally, the examination of the interrelationship between digital engagement and digital leadership is notably lacking in existing literature. Much of the research has instead probed the converse relationship: how leadership styles impact employees' engagement. Lastly, this research is among the pioneering efforts to consider the serial mediating role of digital engagement and digital leadership between digital job resources and innovative work behaviour, a topic that remains underrepresented in academic discourse. This study addresses these gaps.

Despite the digital penetration in the larger consumer market, the adoption of e-pharmacy services is reported to be very low in emerging economies like India. In this context, the purpose of the current study is to examine the influence of consumers’ risk perception on their intention to purchase medicines/pharmaceuticals through online pharmacies. Furthermore, the study seeks to understand to what extent the perceived usefulness of online pharmacy mediates the relationship between different dimensions of perceived risk and purchase intention.

The study was conducted among a sample of 800 consumers in India who are familiar with online e-commerce. To ensure the homogeneity of the sample and hence the generalizations of results, inclusion criteria were set as not to include respondents who have made a prior purchase through e-pharmacy services. Self-reporting questionnaires were administered among the respondents, who were selected through a purposive and convenience sampling method. Measurement modeling and path analysis were done using IBM SPSS 23.0 and AMOS 24.0 to test the hypotheses and draw inferences.

Results revealed that consumers’ risk perceptions, such as financial, product, source and privacy risks, had a significant direct and indirect effect on their intention to purchase medicines through online pharmacies. India is the major universal provider of generic medicines. The insights gained from this study can help policymakers, corporates, consumers, distributors, retailers and marketing managers to frame effective strategies for improved usage of online platforms for procuring medications.

This study is pioneering in conceptualizing and testing a theoretical model linking consumers’ risk perceptions, perceived usefulness and intention to purchase through online pharmacies, particularly in the context of an emerging economy like India. Implications regarding facilitating and nurturing a conducive platform for online purchasing medicines and its outcomes are elaborated, thus striving to fill a gap in the existing literature. By examining the proposed framework through the lens of the technology acceptance model and theory of risk perception, this study seeks to add to the emergent literature on online pharmacies, especially in emerging economies with huge market potential.

This paper aims to determine the key factors and provide an effective model to enhance the performance of sustainable supply chain management (SSCM).

Data were collected using a semi-structured interview technique, a snowball sampling method and qualitative study method. For this purpose, ten supply chain and food production managers and experts were interviewed semi-structured. The data were analyzed using open, central and selective coding methods with grounded theory approach. In the proposed model, 13 principal codes have been specified, including organizational productivity, sustainable supply chain (SSC), industry supply chain, macro policies, organizational performance, social factors, economic factors, organizational factors, political factors, technology, manufactured products, customer and supply chain failures.

The model and concepts obtained from the participants clearly show that several reasons and motivations are involved in increasing the performance of SSCM. Moreover, the designed model indicates that the motives and reasons for turning to this system are satisfactory when implemented.

The distinctive and knowledge-enhancing feature of this paper compared to previous studies is the focus on the selected background, intervening and causal factors with the influence of strategies designed to achieve a new and local model for the SSC model and assess its impact on organizational performance and productivity. The proposed components of this paper have not been investigated so far.

The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of offshore projects and their environmental-degrading effects have been embraced as well. The durations of activities are uncertain in this model. The developed formulation is tri-objective that seeks to minimize the expected time, total cost and CO₂ emission of all projects.

A new version of the multiobjective multiagent optimization (MOMAO) algorithm has been proposed to solve the amalgamated model. To empower the MOMAO, various procedures of this algorithm have been modified based on the multiattribute utility theory (MAUT) technique. Along with the MOMAO, this study has employed four other meta-heuristic methodologies to solve the model as well.

The outputs of the MOMAO have been put to test against four other optimizers in terms of convergence, diversity, uniformity and computation times. The results of the Mean Ideal Distance (MID) metric have revealed that the MOMAO has strongly prevailed its rival optimizers. In terms of diversity of the acquired solutions, the MOMAO has ranked the first among all employed optimizers since this algorithm has offered the best solutions in 56.66 and 63.33% of the test problems regarding the diversification metric and hyper-volume metrics. Regarding the uniformity of results, which is measured through the spacing metric (SP), the MOMAO has presented the best SP values in more than 96% of the test problems. The MOMAO has needed more computation times in comparison to its rivals.

A real case study comprising two concurrent offshore projects has been offered. The proposed formulation and the MOMAO have been implemented for this case study, and their effectiveness has been appraised.

Very few studies have focused on presenting an integrated formulation for the stochastic multiproject scheduling and material ordering problems. The model embraces some of the characteristics of the offshore projects which have not been adequately studied in the literature. Limited capacities of the offshore platforms and cargo vessels have been embedded in the proposed model. The offshore platforms have spatial limitations in storing the required materials. The vessels are also capacitated and they also have limited shipment capacities. Some of the required materials need to be transported from the base to the offshore platform via a fleet of cargo vessels. The workforces and equipment can become idle on the offshore platform due to material shortage. Various offshore-related costs have been integrated as a minimization objective function in the model. The cargo vessels release CO₂ detrimental emissions to the environment which are sought to be minimized in the developed formulation. To the best of the authors' knowledge, the MOMAO has not been sufficiently employed as a solution methodology for the stochastic multiproject scheduling and material ordering problems.

The purpose of this study is to empirically evaluate the audit expectations gap among stakeholders in listed firms in Palestine. The purpose of the investigation is to determine whether or not there is a gap in audit expectations between auditors and investors, auditors and board directors, as well as among auditors and financial managers and also among auditors and shareholders.

To attain its ultimate objective, this study was created using an exploratory descriptive methodology grounded in the use of quantitative methods. A structured questionnaire was used to gather study data from 81 respondents, and a statistical package for the social sciences-26 was then used for analysis.

The results of this research showed that there is a sizable difference in audit expectations among shareholders, financial managers and board directors, as well as among auditors and investors. The findings also demonstrate that, in comparison to the difference between auditors and financial managers, the gap between auditors and board directors and auditors and shareholders is very narrow.

This investigation, which examines the audit expectations gap in great detail, has some significant limitations. This study was limited to the Palestinian market alone. Future research might compare or examine the variations in audit expectations in Jordan, Lebanon, Syria, Iraq and Iran, among different countries. In addition, the demand for accurate and reliable financial reports has sparked a recent increase in interest in auditing, a long-standing sector that has expanded in recent years.

The study has several practical implications, for example, it underlines how crucial it is to make stakeholders aware of the limitations and difficulties related to the auditing process. By doing this, the situation that audit committees and listed firms find themselves in will be easier for investors, board directors, financial managers and shareholders to understand. The way that auditors and stakeholders communicate can help reduce this gap since it affects how much each party underestimates or understates the other’s obligations.

This paper contributes to the literature by analysing and identifying the causes of the audit expectations gap in companies listed on the Palestine Stock Exchange and providing useful insights and potential solutions to close or mitigate it. It also adds a new contribution to the literature related to the audit expectation gap. This investigation offers unambiguous evidence of a sizable discrepancy between audit expectations and actual performance in terms of formal auditor obligations as outlined by current law, as well as auditor reliability standards and practices, between auditors, board directors, investors, shareholders and financial managers in listed Palestinian firms.

To assess patient safety culture in a teaching hospital in Jordan, identify the demographic and professional characteristics that impact safety culture, and benchmark patient safety culture with similar studies in the region.

A cross-sectional design was applied. Responses were analyzed using SPSS software. Descriptive and inferential statistics were used to analyze the data.

In total, 430 (80.5%) participants were nurses and physicians; 300 (56.20%) were females; 270 (50.6%) were in the age group 25–34 years of age. Participants provided the highest positive ratings for “teamwork within units” (60.7%). On the contrary, participants recorded a low positive reaction to the proposition that the response to error was punitive in nature. Of the participants, about 53% did not report any events in the past year.

The average positive response of PSC composites varied from 28.2 to 60.7%. Therefore, patient safety culture in this Jordanian hospital was revealed fragile. This research informs and enables managers and policymakers to plan for future interventions to improve patient safety culture in healthcare institutions.

The purpose of this paper is to examine mediating role of individual performance between the association of organizational politics and organizational performance in Jordanian public sector.

The partial least squares–structural equation modeling was conducted to test the suggested hypotheses.

The findings revealed that organizational performance is significantly and negatively influenced by organizational politics and positively influenced by individual performance. In addition, the results also revealed that individual performance is significantly and negatively influenced by organizational politics. Finally, the results show that individual performance has mediated the association between organizational politics and organizational performance, and hence last hypothesis was accepted.

The current study provides several recommendations to the decision-makers in the Jordanian public sector, including enhancing transparency and publishing policies and regulations in a general and easily accessible manner.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.