Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, despite being key players in any healthy economy, and the fact that BDA adoption can be facilitated by using the Technology Acceptance Model (TAM). The purpose of this study is to investigate the drivers of behavioral intention among managerial-level employees in Jordanian ICT SMEs to adopt BDA through a quantitative correlational research approach. The TAM questionnaire was used to gather data from 271 online survey participants in Jordan using Google Forms. The target group included management level staff working in small and medium-sized ICT firms (SMEs). Confirmatory factor analysis (CFA) was used to evaluate the research instrument's reliability and validity, and structural equation modeling (SEM) was utilized to test the study's hypotheses. The findings revealed that perceived usefulness, perceived ease of use, and perceived “privacy and security” significantly influenced managerial-level employees' behavioral intention to use BDA in their organizations. The research findings also supported the application of TAM, and the results of the investigation indicated that managerial-level employees would be willing to use BDA techniques providing they were perceived to be useful, user-effortless, and posed little concern about privacy and security. Overall, the current study's results demonstrate that the suggested model had good predictive power, 51% of the variance in behavioral intention, and was therefore capable of predicting managers' intentions to use BDA.

This study aims to identify the level of Green Supply Chain practices and their Impact on Operational Performance of the Jordanian Private Hospitals. The Jordanian private hospital sector consists of 71 private hospitals comprising the study population. The convenience sample was used by distributing the research tool to 280 of the subjects in the study in Jordanian private hospitals. The responses received were 257 responses. Moreover, the analyses related to the research were performed using version 24 of SPSS and AMOS software, and test hypotheses structural equation modeling (SEM) was used. The results indicated that green supply chain practices have an impact on operational performance. Based on the study results, the researchers recommend managers to increase operational efficiency by Integrate sustainability parameters into product design requirements and assess them throughout the design process.

This research came to examine the influence of green supply chain practices on export performance. The research population consists of the decision-makers in pharmaceutical companies in Jordan. The Jordanian pharmaceutical industry is considered one of the oldest industrial sectors in the Arab region. Accordingly, the research took a purposive sampling method to collect primary data. The questionnaire was designed electronically via Google Forms and distributed to the study sample via e-mail. Data were analyzed using covariance-based structural equation modeling (CB-SEM) by version 24 of AMOS software. The study results showed that green supply chain dimensions have influenced export performance of the pharmaceutical industry in Jordan. Based on the study results, the researchers recommend managers and decision makers of the pharmaceutical organizations to create a policy outlining the organization's commitment to sustainability and outlining its aims and objectives for decreasing its environmental effect.

The purpose of this paper is to empirically examine a theoretical model which identifies the effect of process quality improvement and lean practices on competitive performance in the healthcare industry in the United Arab Emirates (UAE). The study uses a quantitative research technique with convenient cluster sampling through applying a descriptive, causal and analytical research design. A valid sample size of 270 respondents is used for analysis by linear regression and hypothesis testing using SPSS. The results indicate a direct significant relationship between process quality improvement and a direct significant relationship between lean practices and competitive performance. Given the substantial resources spent and efforts to improve healthcare quality, the absence of studies demonstrating the impact of quality-related operations and activities would require future research. Hospitals in one city in UAE have access that limits the research results. It is recommended that future research assess more variables dependency on the healthcare sector that can affect increase competitiveness. The research provides some managerial implications that could help hospital managerial members improve their healthcare delivery system's leanness and quality improvement to get competitiveness. Quality improvement and lean practices help increase competitive performance and can assist the healthcare sector in providing better service using these practices that have never been considered in research.

This study aimed to test the impact of digital supply chains on lean manufacturing, the digital supply chain was a multidimensional measurement composed of seven dimensions: Digital performance management, digital information technology and digital manufacturing, digital human resources, digital suppliers, digital logistics and inventory and digital clients. The electronic industries companies were targeted to represent the research population and collect the primary necessary data. According to the research budget and time constraints, a convenience sampling method was implemented in the data collection process. Structural equation modeling (SEM) was applied to test the research hypotheses through AMOS software. The results indicated that most of the digital supply chain dimensions had a positive impact on lean manufacturing, except digital suppliers and digital clients, which had no effect on lean manufacturing. Findings from this research help organizational managers make multiple decisions related to investing and allocating resources to increase profit and reduce expenses along digital supply chains.

The purpose of this study is to investigate the mediating role of operational flexibility between the quality of health information technology and management capability. A cross-sectional study was conducted; data was obtained based on 365 medical staff (medical doctors, nurses, and medical technologists) from public hospitals in the northern region of Jordan; a covenant sample was used. The authors used structural equation modeling to verify the hypotheses. The results reveal that the quality of health information technology has a significant impact on management capability and operational flexibility. Operational flexibility as a partial mediating variable also showed a significant impact on management capability. The study suggests that increasing the quality of health information technology will enhance the management capability and operational flexibility in healthcare organizations and will increase employee loyalty as a vehicle to trigger positive work-related attitudes. This study is one of the very limited studies in the Middle East that examined the role of operational flexibility in the quality of health information technology and employee management capability.

The aim of the study is to determine the effectiveness of corporate governance on corporate social responsibility (CSR) performance and financial reporting quality in Saudi Arabia's manufacturing sector. The data is collected through the database of Thomson Reuters from 30 manufacturing companies of Saudi Arabia over the period 2014-2020. Descriptive statistics and the generalized least square (GLS) model were applied. The dependent variable was calculated through residuals and was found as discretionary accruals (DA). The findings reveal that there was a positive influence of corporate governance on CSR performance and financial reporting quality. It was found that sample size was one of the biggest limitations because only data from 2014 to 2020 were collected and to make the study more reliable and authentic, larger data is required.

The aim linked with the present article is to investigate the impact of corporate social responsibilities and board diversity on the earning management of the Jordanian listed firms. The top twelve trading listed firms have been selected from the Jordan stock exchange and data has been extracted from 2011 to 2020. The robust standard error along with the generalized method of moment (GMM) has been used for the analysis purpose. The results indicated that corporate social responsibilities and board diversity have a positive association with earning management of the Jordanian firm. These findings are suitable for the regulators while formulating policies on the corporate social responsibilities and earning management of the firm. These findings have guided the policymakers that they should enhance their focus on the corporate social responsibilities that enhance the earning management of the company. This study is also helpful for the new researcher while investigating this area in the future.

This study came with the aim of identifying the impact of the green supply chain on sustainability. This research targeted managers at the senior and middle levels of the Pharmaceutical Industry in Jordan, as they were formulating the company's strategies and determining its policies. A purposive sample consisting of 258 managers was selected. To gather the data needed for the analysis, a self-report questionnaire was used formulated electronically through Google Forms. AMOS software was used to examine the research hypotheses. The study concluded that there was an impact of the green supply chain with its dimensions (Eco-Design, Green Distribution, Green Purchasing, Green Manufacturing, and Green Reverse Logistics) on sustainability. Based on this result, the researcher recommends pharmaceutical companies in Jordan to take green initiatives and the trends towards implementing a green supply chain approach that reduces the consumption of non-renewable resources and waste, and to establish special laws and regulations in the company that oblige employees to apply the green approach in their practices within the work.

The aim of this study is to identify the effect of supply chain resilience as measured by supply chain flexibility, supply chain collaboration, and supply chain agility on supply chain performance. A sample consisting of employees from chemical industrial companies in Jordan was selected to collect data using an electronic questionnaire. Analyzing data via SmartPLS 3.0, the results showed that supply chain collaboration and supply chain agility as key dimensions of supply chain resilience had significant effects on supply chain performance, while supply chain flexibility exerted insignificant effect on supply chain performance. Therefore, managers are recommended to improve their firms’ abilities to carry out effective work with partners and to enhance firms’ abilities to respond quickly to unpredictable changes. Scholars are also requested to conduct further studies such as investigating the effect of supply chain redundancy on supply chain performance.