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The study's aims are to identify healthcare innovation variables, explore innovative work behavior’s (IWB's) influence on Saudi health sector companies and evaluate the mediating function of transformational leadership in the link between IWB and healthcare organizations. In this backdrop, the purpose of the current research was to investigate the impact of creative work behavior on organizational performance and the role of transformational leadership in this process.

The objective of this quantitative cross-sectional study was to examine, according to 587 participants, the perceived elements of creative work behavior (RQ1). In various 10 departments of the 5 Dammam Health Network (DHN) in the Eastern Province of Saudi Arabia, online questionnaires were used to collect data. SmartPLS 3 software was used to analyze the data.

The findings indicated that healthcare professionals perceive the elements of autonomy, competence, relatedness, motivation and knowledge sharing as key features that influence high efficiency in organizational efficiency (p < 0.001). IWB also had a significant and direct positive influence on organizational performance (p < 0.001). Transformational leadership behavior had an insignificant negative effect on employees’ task performance when considering organizational performance (P = 0.122). Therefore, the mediation role did not affect the relationship with IWB concerning employees’ task performance, suggesting that transformational leadership behaviors did not have a mediating effect on the effectiveness of employees’ task performance.

This article contains original analysis and interpretation highlighting integrating IWB and transformational leadership into Saudi Arabia's national healthcare system that can help address specific difficulties facing healthcare practitioners.

Performance measurement involves gaining useful information about performance. The purpose is to develop a conceptual framework to assist wholesale managers in selecting useful information to evaluate operational performance. The proposed framework identifies core operations, measures of operational performance and factors that affect the performance of wholesale organisations.

The research essentially relies on the available literature to develop a conceptual framework and define related components. Research primary data were used to validate the framework components and to implement the framework in wholesale organisations by allocating performance factors to the different components of the proposed framework. Using a semi-structured interview design, ten face-to-face interviews were conducted with managers of ten different wholesale organisations.

The research identifies five core operations that affect the operational performance in wholesale organisations, four measures for evaluating efficiency and effectiveness in every core operation and 28 factors that influence operational performance in wholesale organisations.

Operational performance is monitored by evaluating the achievement of efficiency and effectiveness in operations. The research introduces a performance measurement framework that identifies the required information to evaluate the efficiency and effectiveness of core operations in wholesale organisations.

The ability of companies to develop organizational resilience before, during and after crises is crucial for their development and growth. The future forecasts increasingly more crises, thus this paper aims at identifying key topics around organizational resilience in COVID-19 times, differentiating them of pre-crisis literature and synthesizing them into a research framework.

Based on Web of Science and Scopus, the authors analysed the content of the only twenty-seven VHB-ranked primary studies discussing organizational resilience during COVID-19, providing a complete survey of this research area.

Following a content analysis, the authors identified main topics of interest for researchers at the moment of COVID-19, how it differed from before this adversity and provide an outlook on future research. The results presented include in the COVID-19 context: an adapted definition of organizational resilience, key theoretical framework, insights for future research. Some topics have been found to be increasingly more important during COVID-19 (i.e. digitalization, partnerships and learning) while others have been less explored although present in pre-COVID-19 research on organizational resilience (i.e. dynamic capabilities, anticipation and preparedness).

Understanding key issues in global disruptions could help practitioners in fostering resilience as much as researchers in identifying new ways to advance and maintain resilience. This paper differs from other reviews by providing a full text analysis, based on qualitative content analysis, of all ranked published papers in the considered period.

Refugees living with disabilities are among the most vulnerable, isolated and marginalized populations, and, of this group, children are particularly vulnerable. The purpose of this study is to identify current knowledge and research gaps specific to the experiences of refugee families who have children with disabilities. The authors assess the quality of evidence and describe the theoretical underpinnings of research that focuses on refugee families who have children with disabilities.

The authors searched nine electronic databases from database inception for English language, peer-reviewed publications. The authors identified themes from the included studies.

The authors identified 10 studies that fit their inclusion criteria and shown key findings in the form of six themes. Families who have children with disabilities experience structural barriers; their experiences are impacted by family factors and the degree and kind of support received, as well as the knowledge of parents about their rights. Gender differences made visible the precarious situations experienced by girls with disabilities. Gaps in educational standards and the capacity of schools, particularly in refugee camps, were highlighted.

The authors show that there is a lack of evidence-based research focusing on refugee children’s own experiences of living with disabilities. Children’s experiences that were visible were, for the most part, attended to through other’s accounts of their experiences. Many studies that the authors found (the current knowledge to date) describe children with disabilities through third-party accounts, including parents, caregivers and those who provided services to this population. There is an urgent need to explore the experiences of children who have disabilities and are displaced from their home country.

This systematic review focuses on refugee children experiences that has not been conducted before and identifies the research gaps for this group. Attention to how disabilities are understood philosophically and who are defined as refugees are needed in order for the research to accrue in ways that build a consistent body of literature. Without some consistency, it is not possible for studies to build on one another.

Organizations have released the importance of lean manufacturing practices (LMPs) and total quality management (TQM) in enhancing competitiveness. However, the implementation of LMPs and TQM becomes more complex when discerning the environmental sustainability position. The complexity stems from the fact that LMPs and TQM are more intricate because of cultural differences. Thus, this study aims to tackle the aforementioned phenomenon by investigating the impact of LMPs and TQM on environmental sustainability moderated by quality culture.

A survey was distributed among small and medium enterprises (SMEs) in Jordan; thus, 315 valid responses were received. Partial least square structural equation modelling was used to analyze the data and test hypotheses.

The findings showed that environmental sustainability was significantly impacted by all the LMP practices except Kanban and all the TQM practices except statistical process control. Moreover, quality culture significantly and negatively moderated the relationship between TQM and environmental sustainability. However, the influence of LMPs on environmental sustainability was not significantly moderated by quality culture.

This study has implications for policymakers in SMEs, supply chain managers and academics regarding the importance of LMPs and TQM systems for implementing environmental sustainability and the role of quality culture.

This study provides guidelines for decision-makers on the pathways that enable them to sustain the environment to safeguard the natural ecosystem and natural resources for upcoming generations.

The originality of this study stems from the alignment of LMPs and TQM in enhancing environmental sustainability, taking into consideration the role of quality culture in SMEs, where previous studies failed short to investigate this phenomenon.

The agriculture industry has a considerable impact on Malaysia’s economy, as seen by its contribution of roughly 8.2% of gross domestic product in 2018 and its potential to absorb 11.09% of Malaysian labor in the same year. This study aims to simulate rising output in a system model of sustainable and profitable crude palm oil (CPO) supply chain management (SCM) and to formulate policy solutions to build sustainable and profitable SCM of Malaysian CPO.

This research included both primary and secondary data. This study used the dynamic system model to simulate palm oil land expansion, replanting policies and environmentally friendly growing techniques.

This study’s findings suggest that the dynamic system model of Malaysia’s CPO’s sustainable and profitable SCM is valid when its structure and performance are tested. The fifth scenario provides the best results, with the most significant net benefit value compared to the other scenarios.

The ideal policy alternative is replanting sustainable agricultural practices without burning technologies during new land clearing to achieve the best net advantages.

This research uses contingency theory and Venkatraman’s concept of moderating fit to explore how key project stakeholders (clients, consultants and suppliers) influence project performance from the perspective of small and medium contractors in the Jordanian construction industry.

An anonymous structured survey was performed comprising 200 key informants including senior project managers, construction managers, engineers and general managers working for small- and medium-sized contractors in the Jordanian construction industry. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data.

The results of this study show that consultant-related factors (quality of documentation produced, ability to communicate and technical competencies) are perceived to have the most significant direct effect on project performance, followed by client-related factors (payment promptness, decision certainty and documentation control) and supplier-related factors (supplier performance, defects control and logistics management).

The results contribute new theoretical, empirical and practical insights to existing construction project performance research by highlighting the key performance factors which need to be managed for each stakeholder group to ensure effective project performance from a small- and medium-sized contractor perspective.

The purpose of this study is to know the effect of religious values that the Jordan Political discipline adopted and were mentioned in the Jordan political discourses (Amman Message 2005, discourse of King Abdullah II in the European Parliament 2008 and his discourse in United Nations 2015) on the public opinion of the university students, especially their attitudes toward terrorism and extremism. Defending Islam is the responsibility of the Jordan political leadership according to Hashemite legacy and promoting Islamic values that rejected terrorism and extremism to Jordanian youth, especially tolerance and moderation values, to counter defamations and claims against Islam and correct its image in the West.

A political discourse analysis approach was used by analyzing the Amman Message and identifying the most important religious values contained therein. Also, a quantitative research method was used in this study. The study population consisted of university students, particularly Jordanian University students because being one of the high-bred Jordanian universities, it is characterized with gender, age, regional affiliation and family income diversities. This study depends on a purposive sample containing 350 students (175 males and 175 females). The survey was conducted in the academic year (2018-2019). A questionnaire that was reviewed by three jurors was used in data collection.

The results of the analysis of the political discourse showed that the values of tolerance and moderation are among the most valued in the Amman Message, where they were frequently repeated. Also, findings have shown that the religious values adopted by the Jordanian political system mentioned in the political discourses had an impact on public opinion of university students on terrorism and extremism causes in a large percent. When gender differed (males and females), the impact ratio of the public opinion for males was higher than that for females. When the age group differed (18-22 and 23-30 years), the effect ratio with the old age group was higher than the effect ratio for the students with the youngest age group. When regional affiliation differed (Jordanian and Jordanian of Palestinian origin), the impact ratio of the public opinion for Jordanian students was higher than that for Jordanian students of Palestinian origin. When regional family income differed (500 dinars and less, more than 500 dinars), the impact ratio of the public opinion for students with family income more than 500 dinars was higher than that for students with family income 500 dinars and less.

This study represents an approach to recognize the effect of religious values that were adopted by the Jordanian political system mentioned in the political discourses on public opinion of university students on terrorism and extremism causes, considering that university students represent the influential youth group in the Jordanian society.

The bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The loan eligibility prediction model utilizes analysis method that adapts past and current information of credit user to make prediction. However, precise loan prediction with risk and assessment analysis is a major challenge in loan eligibility prediction.

This aim of the research technique is to present a new method, namely Social Border Collie Optimization (SBCO)-based deep neuro fuzzy network for loan eligibility prediction. In this method, box cox transformation is employed on input loan data to create the data apt for further processing. The transformed data utilize the wrapper-based feature selection to choose suitable features to boost the performance of loan eligibility calculation. Once the features are chosen, the naive Bayes (NB) is adapted for feature fusion. In NB training, the classifier builds probability index table with the help of input data features and groups values. Here, the testing of NB classifier is done using posterior probability ratio considering conditional probability of normalization constant with class evidence. Finally, the loan eligibility prediction is achieved by deep neuro fuzzy network, which is trained with designed SBCO. Here, the SBCO is devised by combining the social ski driver (SSD) algorithm and Border Collie Optimization (BCO) to produce the most precise result.

The analysis is achieved by accuracy, sensitivity and specificity parameter by. The designed method performs with the highest accuracy of 95%, sensitivity and specificity of 95.4 and 97.3%, when compared to the existing methods, such as fuzzy neural network (Fuzzy NN), multiple partial least squares regression model (Multi_PLS), instance-based entropy fuzzy support vector machine (IEFSVM), deep recurrent neural network (Deep RNN), whale social optimization algorithm-based deep RNN (WSOA-based Deep RNN).

This paper devises SBCO-based deep neuro fuzzy network for predicting loan eligibility. Here, the deep neuro fuzzy network is trained with proposed SBCO, which is devised by combining the SSD and BCO to produce most precise result for loan eligibility prediction.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.