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.

The present study aimed at identifying the reasons for the customer's exit and determining their effects on social word-of-mouth through the means of social media applications. Four customer exit drivers were selected after a review of the literature: service failure, service recovery failure, price problems, and customer dissatisfaction as independent variables. The social word-of-mouth was also chosen as a dependent variable. The study sample consisted of 468 users of the social media. The criterion of entry into the sample was the experience of at least one restaurant and the publication of a comment via social media. The number of electronic questionnaires filled by users were 355 questionnaires. The questionnaire consisted of 20 items measuring the study variables, which were extracted after reference to the previous study related to the subject of the study. After confirming the suitability of the study model, the hypotheses were tested. The results show acceptance of all hypotheses, which means that the four customer's exit drivers lead to negative messages through social media, i.e., negative social word-of-mouth. The study recommended that firms should take care of the drivers of customer exit first and then participate in the means of social media to justify their position and contribute to the formulation of a positive opinion. The contribution of this study to literature is that it distinguishes between two types of customer exit drivers that have been studied, which are called controllable drivers by the firm, compared to another type of exit drivers.

Smart farming is a feasible solution to help farmers effectively and sustainably manage the potential threats and risks those traditional farmers face, such as product quality, increased production costs, the environment, climate change, natural catastrophes, pests, and inferior goods. Using a survey research design, this research examined smart farming adoption and risk management models by combining the Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT). The research sampled 400 farmers who are members of community enterprises in the northeastern region of Thailand. Data was collected using a questionnaire and analyzed using a statistical package program in four steps: confirmatory factor analysis, path analysis, structural equation model analysis (SEM), and Sobel's test. The findings revealed that government support variables had the most significant influence by adopting smart farming to risk management. Based on the research results, the government can apply this model to create strategies to encourage farmers to adopt smart farming and increase the production efficiency of agricultural products. The farmer can manage the risks of smart farming, which leads to sustainable smart farming and is useful for further academic acceptance and risk management studies. Furthermore, this study contributes to the existing literature on combining TAM and IDT in model adoption and risk management. The limitations include the small sample size adopted and the limited coverage area for the study, which restricts the generalization of the findings. However, the findings offer a glimpse into the benefits of smart farming.

The study identifies the growth of social and economic divergence between Ukraine and the EU. The purpose of this paper is to fill a gap in the literature on the scale and dynamics of an upward divergence between Ukraine and the EU by comparing integral indices of social and economic development of both areas. Reaching this goal is important for elaborating new guidelines for cohesion policy of the EU and recommendations on Ukraine’s integration strategy. This research differs from the previously published ones by a new approach to measure social and economic integral indices used for estimating the rate of divergence between Ukraine and the EU. A distinctive feature of the author’s methodology of the integral estimation of social and economic development of Ukraine and the EU-28 is the use of the innovative composition of indicators and the multiplicative form of the integral index, the simultaneous normalization and integral assessment indicators and justification of weights based on the principal component analysis (PCA). Priority areas of social and economic development of Ukraine as a prerequisite for the policy of rapprochement and integration with the EU are diversification of foreign economic relations, ensuring the stability and independence of the financial system, improving the parameters of the social security system, involving drivers of economic development, increasing the level of energy efficiency and energy saving.

The aim linked with the ongoing article is to examine the role of top management team heterogeneity along with audit committee characteristics on the book-tax difference of the Jordanian listed firms. The data has been extracted from the eighteen listed companies from 2009 to 2021 that are listed on the Amman Stock Exchange. To test the hypotheses, a fixed-effect model along with the robust standard error model has been executed. The results revealed positive linkage among the top management team heterogeneity, audit committee characteristics, and book-tax difference of the Jordanian listed firms. These findings are suitable for the regulators who want to develop new policies related to the book-tax difference and top management team heterogeneity along with the new researchers who want to investigate this area in the future.

This study aims to investigate the effect of green value on attitude and sustainable transportation engagement and the mediating role of attitude on the relationship between green value and sustainable transportation engagement. A survey was carried out on students in a public university. A sample of 107 students was obtained for this study. The data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings show that green value and attitude had a significant influence on sustainable transportation engagement. In addition, attitude played a mediating role in the relationship between green value and sustainable transportation engagement. The study provides valuable contributions for both theory and practice in the area of eco-campus. Theoretically, the study extends the value-attitude-behavior model in the context of sustainable transportation and adds to the body of literature of eco-campus. This is among the first studies conducted in Malaysia that investigates factors that contribute towards sustainable transportation engagement among students. In terms of managerial significance, the results provide guidance to policymakers to help them plan for strategies to enhance students’ engagement in sustainable transportation in the future.

This paper aims to measure consumer awareness of environmentally friendly products in the context of United Arab Emirates. The study also intends to measure the effect of consumer awareness on the customer intention to purchase environmentally friendly products and whether or not consumer attitudes mediate this relationship. A self-administered survey was delivered using google form tool to reach as many respondents as possible, where a link to survey has been shared by emails, the respondent randomly selected from United Arab Emirates. A total of 174 responses has been received of which 7 responses dropped for being not complete, resulting in 167 useful responses. Content validity has been done to ensure the items are clearly understood, which is accomplished by consulting two academicians who are familiar with this field of study. SPSS statistical package version 22 has been used to test the hypotheses of this research. Based on data analysis, it has been found that Environmental Awareness positively and significantly affects Consumers’ Attitudes toward environmentally friendly products and Green products Purchase Intention, respectively. Furthermore, a positive and significant relationship between Consumers’ Attitudes towards environmentally friendly products and Purchase Intention is detected. However, the proposed mediating role of Attitudes in the relationship between Environmental Awareness and Purchase Intention was not supported.

Ambidexterity is a company's capability to manage operations and strategy simultaneously and effectively, facilitating innovation and adaptation to market changes. Companies must be able to maintain operational efficiency and stability while also innovating and adapting to market dynamics. Ambidexterity enables companies to manage operations and strategy effectively and efficiently while at the same time, facilitating innovation and adaptation to market changes. This leads to an increase in company performance, such as increased revenue, increased market, and increased operating efficiency. It is also necessary that there are several mediating variables, such as effective supply chain collaboration, supply chain management, and innovation capability, which influence the relationship between supply chain ambidexterity and firm performance. This study aims to determine the extent to which ambidexterity can influence supply chain performance and how the role of lean and agile supply chains mediates the relationship between these variables. The research method used in this study is a quantitative approach. The number of samples analyzed in this study was 225. The results of the study concluded that ambidexterity helps companies to overcome pressure to optimize short- and long-term performance, maintain agility and flexibility in adapting to changes in the business environment. Studies on ambidexterity and supply chain performance have shown that ambidexterity can help directly optimize supply chain performance but can also amplify the positive impact of practices such as lean supply chain and agile supply chain. The implications obtained from the findings are that companies are expected to improve operational efficiency and effectiveness and have the ability to adapt to environmental changes and market demands.

Recently, the importance of service quality in various industries has gained much attention. Along with the development of technology, firms offer self-service technology to serve customers and create customer satisfaction. This aims to achieve positive behavioral intention, which could potentially become behavioral loyalty. This study aims to analyze how SST-Servqual affects customer satisfaction, behavioral intention, and behavioral loyalty mediated by corporate reputation in the Indonesian public service sector. We collected data from 400 self-service technology users through an online survey. To answer all hypotheses, we use Structural Equation Modeling with Lisrel 8.71. The results prove that SST-Servqual affected satisfaction, behavioral intention, and behavioral loyalty, both directly and indirectly, through company reputation. This research provides knowledge for the Indonesian service industry to build new technologies for increasing satisfaction, positive behavioral intentions, and behavioral loyalty.

The study aimed to analyze and measure the impact of renewable energy consumption on economic growth in Jordan during the period 1990-2020 using time series analysis; the study tests the stationarity of the time series using the ARDL model. The results show a positive and significant effect of each, renewable energy consumption, gross fixed capital formation, carbon dioxide emissions, and total population, on the real gross domestic product (GDP). The study recommends the importance of government agencies adopting specialized programs in reducing emissions with stakeholders' participation. To work together to spread awareness in this field, limit the spread of these emissions, and ensure that this is a complementary condition for the sectors participating in these programs to obtain funding and provide it over other sectors.