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The present study explores the effect of supply chain integration on the operational performance of an internet-based online business based in China. The study is based on primary data collected through a questionnaire distributed to supply chain professionals of the stated companies. After distributing the questionnaire and collecting the responses, an exploratory factor analysis is conducted to validate the instrument. Afterward, the confirmatory factor analysis (CFA) analysis is conducted, and finally, the structural equation modeling (SEM) technique is used to determine the validity of the research hypotheses. The results indicate that integrating different aspects of the supply chain positively impacts the operating performance, improving the financial performance of the companies involved in the integration process. [ABSTRACT FROM AUTHOR]

The discussion on employee burnout (BOT) has existed in academic literature for a long time. While BOT was identified as a personal issue, there is a lack of a system approach solution. In this regard, a milestone was achieved in 2019 when the World Health Organization (WHO) introduced a new definition of BOT, recognising it as an occupational phenomenon, thereby placing a greater responsibility on organisational leadership to manage it. Since then, different leadership models have been proposed by scholars to reduce the effect of BOT in an organisation. Humble leadership (HL), as a people-first approach, has recently gained importance in organisational management literature. Studies have indicated that HL significantly influences different employee outcomes. However, research on the significance of HL to mitigate BOT of employees was scarce—similarly, on the underlying mechanisms of how and why. While HL has the potential to reduce BOT in an organisation, little or no research has studied it. Acknowledging these knowledge gaps, the basic aim of this study is to enrich the existing body of knowledge by proposing HL as an effective organisational management strategy to reduce the effect of BOT in the healthcare sector. The study introduces two mediators, work engagement (WREN) and subjective wellbeing (SUBW), to explain the underlying mechanism between HL and BOT. The conditional indirect role of altruism (ALM) was also tested. The data were obtained from hospital employees by employing a survey method (questionnaire, n = 303). Structural equation model (SEM) was considered for testing the hypothesised model to study the interrelationships between variables. The results confirmed that the manifestation of HL in an organisation reduces BOT significantly, and WREN and SUBW mediate this relationship. The study also demonstrates the buffering effect of ALM in the above-proposed relationships. The empirical findings offer multiple contributions in theory and practice, among which the most important one was to realise the profound importance of HL in reducing the effect of BOT in healthcare management. [ABSTRACT FROM AUTHOR]

The global business scenario seems to be gloomy due to the economic uncertainty caused by the COVID-19 pandemic. The COVID-19 pandemic has impacted many economic sectors and a country's national GNP, including the tourism industry. The question is whether the influencing factors for firms involved in the tourism industry, especially in developing countries, ensure their future survival. The main aim of this paper is to examine the role of internal resources and external environmental factors on the firm performance of small–medium enterprises (SMEs) in the tourism industry, with a specific focus on SME hotels. Based on a survey carried out among hotel owners or key managerial staff in Saudi Arabia and using partial least squares (PLS), the study aimed to attain the objective of this study. Results from the statistical analysis indicate that both internal and external environmental factors have a positive impact on the performance of SME hotels. The results also revealed a more significant impact from the external environmental factors in influencing firm performance than internal resources. Implications, limitations, and recommendations for future scientific investigation are put forward. [ABSTRACT FROM AUTHOR]

Women's involvement in tourism has exerted an immense impact on the nation's economy. The low involvement of women in some countries has sparked the interest of scholars in investigating the factors that influence their involvement. The main purpose of this study was to examine the influence of self-efficacy (SE), perceptions of women's work (PWW), empowering leadership (EL), and psychological empowerment (PE) on tourism involvement. Consequently, the study determined the impact of tourism involvement in sustainable tourism development (STD). The population of the study was women entrepreneurs from the Saudi Arabia tourism industry. A total of 201 women participated in the study from the selected sample of 300, obtained through convenient sampling. For the data analysis, SPSS and PLS-SEM were employed. The results revealed that PWW, SE, EL, and PE significantly and positively influenced women entrepreneurs' involvement in tourism (WEIT). Further, WEIT significantly and positively impacted STD. This research is a pioneering work in which a research model was developed to incorporate PWW, SE, EL, PE, tourism involvement, and STD in light of social exchange theory and social identity theory. The findings provide implications for policymakers and academia and contribute to the existing body of knowledge on women's entrepreneurship, empowerment, tourism, and business management. [ABSTRACT FROM AUTHOR]

The hospitality sector, especially the hotel business, is at a crossroads. Dynamic business environments, rivalries, and isomorphisms in service operations are significant challenges for hotel enterprises. Fostering employee creativity is undoubtedly something that can well position a hotel in the face of competition. Research shows that corporate social responsibility (CSR) perceptions of employees for an enterprise can motivate them to be engaged in creativity. At the same time, it has also been mentioned that corporate leaders could significantly influence the behavior of employees. Nevertheless, employee creativity in a CSR framework has not been well-explored in a hospitality context. Moreover, the role of leadership, especially inclusive leadership styles, has been less discussed to spur employee creativity from a CSR perspective. To bridge the above knowledge gaps, this study investigates the relationship between CSR and employee creativity with the mediating effect of inclusive leadership in the hotel industry of a developing economy. Moreover, the conditional indirect effect of employee polychronicity was also tested in the proposed mediated relationship. For data collection, an adapted questionnaire was taken into consideration by employing a paper–pencil method (n = 427). A hypothetical model was refined and validated through structural equation modeling (SEM). The results confirmed that CSR can drive employee creativity significantly, and inclusive leadership partially mediates this relationship. It was also realized that polychronicity has a significant conditional indirect effect on the above-mediated relationship. These outcomes contribute to improvements in the hotel management, as well-designed CSR activities both improve the hotel's image as an ethical enterprise and increase creativity among employees. [ABSTRACT FROM AUTHOR]

Tourism and hospitality have been recognized as leading economic sectors globally. Before the outbreak of COVID-19, it was estimated that the tourism and hospitality sector was growing by around 4% each year. Although the economic-efficiency-led hypothesis of the tourism and hospitality sector is strong, there is another perspective related to tourism and hospitality. That is, tourism and hospitality are not as "green" as they were supposed to be. Indeed, this sector is known for its outsized carbon footprint. It is estimated that, if not managed efficiently, the GHG contribution of the tourism sector will grow in the future. Specifically, the hotel business accounts for 1% of total global greenhouse gas emissions (GHG), which is huge. Responding to these significant issues, this study investigates the relationship between the corporate social responsibility (CSR) activities of a hotel enterprise and employees' pro-environmental behavior (PEB). The mediating role of environmental-specific transformational leadership (ESTFL) and the moderating role of green perceived organizational support (GPOS) were also tested in the above relationship. The data were collected by the employees through a self-administered questionnaire. The hypothesized relations were statistically investigated by using structural equation modeling (SEM). The findings revealed that CSR activities of a hotel not only influence employees' PEB directly, but the mediating role of ESTFL was also significant. At the same time, the conditional indirect role of GPOS was also confirmed. This study offers different theoretical and practical insights, which have been discussed in detail. [ABSTRACT FROM AUTHOR]

Despite the growing academic interest in transformational leadership and employee creativity, the banking sector has not yet received enough consideration. Mostly, the banking sector was assumed to be an inappropriate setting for employee creativity as it is a tightly supervised and controlled segment of an economy. Nevertheless, some research studies in advanced nations emphasized the significance of employee creativity in a banking context. However, the case of developing countries (e.g., Pakistan) has remained an understudied area. Against this background, the objective of this study was to examine the relationships between transformational leadership (TL), perceived organizational support (POS), and employee creativity (EC) through work engagement (WE). Some private banks were selected, situated in a large metropolitan city, with data collected for the present research by a self-administered questionnaire. The structural equation modeling (SEM) technique was employed to analyze data. It was observed that TL and POS induce EC, whereas WE mediated these relationships. These findings may help policymakers of the banking industry to improve employee creativity through WE. [ABSTRACT FROM AUTHOR]

Agriculture is critical for meeting the needs of the world's population, in terms of food production. As a result, it has become a significant contributor to economic growth. According to various studies, agricultural production is one of the most widely recognized sources of greenhouse gas (GHG) emissions globally. This study explores the causal link between aggregate energy consumption resources, trade liberalization, CO2 emissions, and modern agriculture in selected ASEAN nations from 2000 to 2020, through the use of panel FMOLS data from the United Nations Development Program (fully modified ordinary least square). According to scientific research, the value addition of agricultural commodities helps to reduce CO2 emissions in polluted countries such as the United States. In addition, it was revealed that the quantity of CO2 released per unit of energy spent was positively associated with the amount of energy consumed. The reduction of CO2 emissions is possible in nations where environmental pollution is reducing due to trade liberalization. Although fossil fuels have increased CO2 emissions, research has shown that adopting renewable energy can help mitigate environmental damage. Revenues and productivity in agriculture are increased due to climate-smart agricultural-favored institutions, while greenhouse gas emissions are reduced. As an example of renewable energy, new energy resources may contribute to the preservation of a clean and healthy environment. The use of renewable energy in agriculture reduces the dependency on fossil fuels, which is beneficial for farmers. Trade policy, on the other hand, may stimulate the movement of money and technology, in order to specialize in economies of scale and manufacturing. It is imperative that ASEAN countries examine policies that will improve living standards, while also protecting the environment. This includes measures that will stimulate agricultural sector production and create active marketplaces for international trade [ABSTRACT FROM AUTHOR]

The main focus of the study is to determine the financial uncertainty while examining the Sukuk bonds prices, Sukuk bond and global emerging market indices returns dynamics. The study, with a time period ranging from 2017 to 2020, applies the quantile regression technique. The study findings show that evidence of co-moment exists between the global emerging market index and Sukuk bond price returns, except the one. There is no impact of the financial uncertainty indicator reflected by the global volatility index (VIX) on the Sukuk index returns, and even this impact is negative for (VXEEM). The causal impact among the global emerging and Sukuk bond markets will help formulate future trading strategies in particular to Islamic bond markets. [ABSTRACT FROM AUTHOR]

The phenomenon of corporate social responsibility (CSR) is an ever-evolving concept due to its multidimensionality. However, a plethora of studies have investigated CSR to achieve different organizational-related objectives, and its potential link to shape employee's extra-role behavior, especially employee pro-environmental behavior (EB) in the era of Industry 4.0, is underexplored in the literature. To bridge this gap, the current study aims to explain the relationship between CSR and EB with the mediating role of ethical leadership (EL) in the banking sector of Pakistan. The data of the current survey were collected (n = 459) from different banking employees within the city of Lahore through a self-administered questionnaire (paper–pencil technique). The hypotheses were validated through the structural equation modeling (SEM) technique in AMOS. The empirical results of the current study confirmed that CSR positively relates to EB, and EL partially mediates this relationship. These findings are helpful for professionals to realize the significance of CSR and EL to shape EB in order to mitigate the environmental footprint of an organization. [ABSTRACT FROM AUTHOR]

The global focus on the use of renewable energy resources was mainly reignited by the signing of the Kyoto Protocol Agreement in 1997. Since then, the world has seen a great deal of progress in terms of the production and consumption of renewable energy. This in turn is rapidly powering economic growth and social development around the globe. Contrary to popular belief, the use of renewable energy is not limited to developed countries only. The developing countries are also rapidly endorsing renewable energy as a vital engine of economic growth and societal development. In this regard, even though renewable energy production and consumption are in their infancy in BRICS, these countries are taking concrete steps towards the development of renewable energy resources. The results of previous studies have indicated that with an increase in the GDP of a country its carbon footprint also tends to increase; the Brazil, Russia, India, China, and South Africa (BRICS) countries are no exception in this regard. One of the main challenges in research related to measuring the contribution of renewable energy towards economic growth is the use of a singular model or techniques that may not be appropriate for the generalization of the results. This study intends to overcome this challenge by application of multiple econometric-based models which include the "Cross Dependency" test, the unit root test, and "CIPS" (cross-sectional augmented IPS). Besides these the second generation, stochastic models based upon econometrics, such as the DOLS test (dynamic ordinary least square) and the FMOLS (fully modified ordinary least square) are also applied for verification of the contribution of renewable energy towards the economic growth of the BRICS countries. The novelty of the study mainly stems from fact that these models are seldom applied in tandem and especially in the BRICS countries. The results of the study indicate that the existence of the bi-directional relationship between the use of renewable energy and economic growth is mainly indicated by the increase in GDP, thus lending support to the feedback hypothesis. Moreover, the conservation hypothesis was proven by the existence of a unidirectional causality relationship between the use of renewable energy and CO2 emissions. Alongside these, the study also included sensitivity analysis to gauge the impact of the growth of GDP on the CO2 emissions of BRICS countries, and regression analysis was performed to create an EKC curve which was used to gauge not only the sensitivity but also to help in highlighting the impact of using renewable energy in controlling and reducing CO2 emissions, thus proving the EKC theory. Thus, it can be deduced that increase in CO2 emissions is of major concern for the BRICS countries, which has led them to increase the production of renewable energy. Based upon the findings of the present study it is recommended that policymakers should encourage the use of renewable energy by offering incentives in financial terms, such as interest-free or low-interest loans, subsidies and feed-in tariffs. [ABSTRACT FROM AUTHOR]

This study aims to develop a new approach based on machine learning techniques to assess sustainability performance. Two main dimensions of sustainability, ecological sustainability, and human sustainability, were considered in this study. A set of sustainability indicators was used, and the research method in this study was developed using cluster analysis and prediction learning techniques. A Self-Organizing Map (SOM) was applied for data clustering, while Classification and Regression Trees (CART) were applied to assess sustainability performance. The proposed method was evaluated through Sustainability Assessment by Fuzzy Evaluation (SAFE) dataset, which comprises various indicators of sustainability performance in 128 countries. Eight clusters from the data were found through the SOM clustering technique. A prediction model was found in each cluster through the CART technique. In addition, an ensemble of CART was constructed in each cluster of SOM to increase the prediction accuracy of CART. All prediction models were assessed through the adjusted coefficient of determination approach. The results demonstrated that the prediction accuracy values were high in all CART models. The results indicated that the method developed by ensembles of CART and clustering provide higher prediction accuracy than individual CART models. The main advantage of integrating the proposed method is its ability to automate decision rules from big data for prediction models. The method proposed in this study could be implemented as an effective tool for sustainability performance assessment. [ABSTRACT FROM AUTHOR]

The main purpose of the current study is to investigate if tourism affects economic growth of China. The data set has been acquired from the Beijing Municipal Bureau of Statistics, and the time span of the data set takes into account a 20-year time period, from 2000 to 2019. To determine the strength of the above-mentioned relationship previous models that have been used for this research are mainly VAR (vector auto-regression) and VECM (vector error correction) models. The VAR and VECM models have been conducted together with the Granger causality test. The internal revenue generated from tourism-related activities is taken as being the main indicator for the tourism industry, while economic growth is determined by GDP (gross domestic product). We support the above-mentioned notion, as we found that a strong relationship exists between the development of the tourism industry and economic growth. Moreover, our analysis also indicates that this industry has a major impact on long-term economic growth in the region as well. This study thus provides further support to the existing literature on the topic of tourism and the impact that tourism-related activities have upon economic development and growth. The existence and the impact of tourism-related activities upon long-term economic growth were confirmed by the results of the VAR models. At the same time, the unidirectional results of VECM models have confirmed the existence of economic growth in the short term. In our case, the cardinal relationship between the development of the tourism industry and the economic growth in the Beijing region of China have managed to provide strong empirical support to the earlier stated notions and to the literature alike. [ABSTRACT FROM AUTHOR]

Sustainable products and their marketing have played a crucial role in developing more sustainable consumption patterns and solutions for socio-ecological problems. They have been demonstrated to significantly decrease social consumption problems. Neuromarketing has recently gained considerable popularity and helped companies generate deeper insights into consumer behavior. It has provided new ways of conceptualizing consumer behavior and decision making. Thus, this research aims to investigate the factors influencing managers' decisions to adopt neuromarketing techniques in sustainable product marketing using the fuzzy analytic hierarchy process (AHP) approach. Symmetric triangular fuzzy numbers were used to indicate the relative strength of the elements in the hierarchy. Data were collected from the marketing managers of several companies who have experience with sustainable product marketing through online shopping platforms. The results revealed that the accuracy and bias of neuromarketing techniques have been the main critical factors for managers to select neuromarketing in their business for advertising and branding purposes. This research provides important results on the use of neuromarketing techniques for sustainable product marketing, as well as their limitations and implications, and it also presents useful information on the factors impacting business managers' decision making in adopting neuroscience techniques for sustainable product development and marketing. [ABSTRACT FROM AUTHOR]