Research of influence mechanism of corporate social responsibility for smart cities on consumers' purchasing intention

The influence of digital platform on the implementation of corporate social responsibility: from the perspective of environmental science development to explore its potential role in public health

Introduction

This paper aims to explore the intersection of corporate social responsibility (CSR) and public health within the context of digital platforms. Specifically, the paper explores the impact of digital platforms on the sustainable development practices of enterprises, seeking to comprehend how these platforms influence the implementation of environmental protection policies, resource management, and social responsibility initiatives.

Methods

To assess the impact of digital platforms on corporate environmental behavior, we conducted a questionnaire survey targeting employees in private enterprises. This survey aimed to evaluate the relationship between the adoption of digital platforms and the implementation of environmental protection policies and practices.

Results

Analysis of the survey responses revealed a significant positive correlation between the use of digital platforms and the environmental protection behavior of enterprises (r = 0.523 ; p < 0.001 ), Moreover, the presence of innovative environmental protection technologies on these platforms was found to positively influence the enforcement of environmental policies, with a calculated impact ratio of (a ∗ b / c = 55.31 % ). An intermediary analysis highlighted that environmental innovation technology plays a mediating role in this process. Additionally, adjustment analysis showed that enterprises of various sizes and industries respond differently to digital platforms, indicating the need for tailored environmental policies.

Discussion

These findings underscore the pivotal role of digital platforms in enhancing CSR efforts and public health by fostering improved environmental practices among corporations. The mediating effect of environmental innovation technologies suggests that digital platforms not only facilitate direct environmental actions but also enhance the efficiency and effectiveness of such initiatives through technological advances. The variability in response by different enterprises points to the importance of customizable strategies in policy formulation. By offering empirical evidence of digital platforms' potential to advance CSR and public health through environmental initiatives, this paper contributes to the ongoing dialogue on sustainable development goals. It provides practical insights for enterprises and policy implications for governments striving to craft more effective environmental policies and strategies.

A model for green-resilient supplier selection: fuzzy best-worst multi-criteria decision-making method and its applications

Supplier selection is regarded as the primary goal of supply chain management (SCM) because it affects its performance, productivity, pleasure, flexibility, and system speed in lockdown. A new method is proposed based on a multi-stage fuzzy sustainable supplier index (FSSI). Experts can use the triple bottom line (TBL) criteria to select the best supplier. In addition, the worst method is proposed based on trapezoidal membership and fuzzy membership functions, which can cover uncertainties and ambiguous environments. Because it collects the related criteria and sub-criteria and uses a direct fuzzy methodology, this research has impacted the SCM literature because it helps solve previous expert methods' computational difficulties. In addition, an ordered mean integration representation method has been implemented to prioritize the selection of the best supplier (SS) based on the sustainability performance of the best supplier, which improves the selection accuracy compared to the previous ranking method. This study can be used as a benchmark to determine which supplier is the best in sustainability. To provide the superiority and broad applicability of the proposed model, a practical case study was completed. On the other hand, the COVID-19 pandemic harms productivity, company performance, and selecting the best suppliers based on sustainability performance. The lockdown situation caused by the COVID-19 pandemic hurts company performance and management.

Do you reap what you sow? Driving mechanism of supply chain transparency on consumers' indirect reciprocity

Introduction

To maintain sustainable poverty alleviation in the post-pandemic world, China encourages firms to participate in the "Social Commerce Helping Farmers Project." This study aims to explore the phenomenon of indirect reciprocity between firms, consumers, and farmers in the supply chain. This study explores how supply chain transparency stimulates indirect reciprocity among consumers through competence trust, goodwill trust, and integrity trust. Furthermore, we explore the impact of compassion and the need for social status on the model.

Methods

We fit a partial least square analysis structural equation modeling (PLS-SEM) using data from an online random vignette-based experiment questionnaire survey.

Results

Supply chain transparency of social responsibility practices asymmetrically affects three dimensions of consumer trust by improving perceived information quality. And the three dimensions of trust asymmetrically contribute to indirect reciprocity. Furthermore, compassion has a positive moderating effect on the relationship between perceived information quality and trust. However, the moderating effect of the need for social status on the relationship between the three dimensions of trust and indirect reciprocity differed significantly.

Discussion

Our findings indicate that supply chain transparency improves consumer trust, making consumers more responsive and rewarding companies that assist vulnerable groups in their supply chains. Faced with a trust crisis, companies can take different measures to achieve their goals based on each dimension of trust. At the same time, companies need to consider differences in the responses of consumers with different personality traits (e.g., compassion and the need for social status) when revealing their corporate social responsibility practices to consumers.

The effects of the COVID-19 pandemic on the mental health of workers and the associated social-economic aspects: A narrative review

BACKGROUND

The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socio-economic systems to extreme limits. Upon exposure to an exceeding number of patients and supply shortages, the resilience of healthcare resources has been broadly challenged.

OBJECTIVE

We will firstly discuss the mental health turmoil during the COVID-19 pandemic as the primary focus of this study and delve into the mental health repercussions among the workforce. Also, we debate the risk factors, particularly highlighting the impact of social behaviors and media exposure. We examine the pandemic's impact on occupational health services. Secondly, we thoroughly discuss the effect of socio-economic and race disparities in the COVID-19 contraction and the related psychologic sequelae. Economic outcomes are also highlighted, particularly alterations in poverty rates and occupational sectors.

METHODS

Peer-reviewed reports were extracted through Embase, PubMed, and Google Scholar until June 2022.

RESULTS

A constellation of untoward spillover effects of the pandemic, including dramatic changes in public and workplace environments, enduring curfew, and low wages, have put socio-economic aspects of daily life under exuberant strain. Indeed, occupational and public health stakeholders presume a coinciding social crisis to occur, provided the pandemic's implications on socioeconomics and psychological wellbeing are not addressed well with evidence-based approaches and peer services.

CONCLUSION

Evaluating the socio-economic and mental health impact is imperative to cope with the pandemic. Also, we should assess the predisposing and protecting factors in a broad array of life aspects associated with COVID-19.

How green finance reduces CO2 emissions for green economic recovery: empirical evidence from E7 economies

The present study examines the effects of green finance on green economic performance index in the presence of income per capita, corporate social responsibilities, green energy, and technical innovations in emerging seven (E7) countries from 2005 to 2018. This study employed second-generation panel cointegration methodologies. The result of the cross-sectional dependency and slope heterogeneity test confirms that the panels are correlated and there exists slope heterogeneity. The results for the short- and long-run confirm the relationship between green economic performance index, green finance, GDPC, technological innovation, CSR, and green energy. In both the short- and long-run, green finance, technological innovation, and CSR decrease the carbon emissions and increase green economic growth, whereas income per capita and GDPC significantly increase the carbon emissions. The robustness check findings obtained D-H panel causality test validate the results. Reducing energy usage by adopting efficient technologies should be encouraged through green financing reforms implemented by policymakers.

Assessing the nexus between fiscal policy, COVID-19, and economic growth

The COVID-19 issue deteriorated South Africa's already dire economic situation, exacerbated by years of considerable debt increase. The COVID-19 pandemic has disrupted trade to such an extent that some enterprises are barely working at a quarter of their potential. Furthermore, economic agents delay economic decisions while waiting to see how the crisis develops. According to some economists, increased government expenditure will raise GDP enough to keep the country's debt-to-GDP ratio steady and restore fiscal sustainability. We use a panel data model to estimate a fiscal reaction function, which we then apply to historical data to assess the government's prior efforts to maintain or restore budgetary sustainability. We calculate the impact fiscal balance, government expenditure, interest rate, and revenue changes that the government will have to make to restore the country's fiscal stability due to the financial impact of the COVID-19 issue.The findings show that fiscal balance and tax revinue have a significant impact on the economics growth, while government expenditure and corruption reduce the growth of the country.

The role of environmental transformational leadership in employees' influencing organizational citizenship behavior for environment well-being: a survey data analysis

Many researchers and intellectuals focused on the topic of organizational citizenship behavior for the environment (OCBE); however, employees' pro-environmental behaviors, such as eco-helping, eco-civic engagement, and eco-initiatives, are often being ignored. Also, the investigation of the stimulating factors behind these behaviors remains weak. Hence, this research aims to explore the role of environmental transformational leadership (ELT) in these three types of organizational citizen behaviors for the environment (OCBE) considering the indirect effects of psychological empowerment and leader-member exchange (LMX). We examined the effects of meditation by using four steps for mediation analysis and the Sobel test. Chi-square (χ²) tests for observing the difference were also applied. The results from a survey of 500 employees from the manufacturing industry in China provide that environmental transformational leadership contributes indirectly and directly to promoting environmental behavior within organizations due to the inspirational nature of transformational leaders. Furthermore, the intentions of employees for organizational environmental behavior stimulate on account of a high sense of leader-member exchange and psychological empowerment. Based on these findings, the study suggests that leadership in organizations should facilitate their employees with psychological empowerment and sharing of information and initiative regarding the environment for boosting OCBE. It is also recommended that at the time of recruitment and selection of employees, they should be given orientations regarding environmental protection and resource conservation. Moreover, organizations should promote the transformational style of leadership to achieve environment-related goals.

Negative Work Attitudes and Task Performance: Mediating Role of Knowledge Hiding and Moderating Role of Servant Leadership

The COVID-19 pandemic has caused a global crisis that particularly hit employment globally. Due to the economic crisis, many small businesses attempted to minimise their expenses by either closing or downsizing. During such organisational situations, the employees face negative workplace attitudes that lead to knowledge hiding and affect team performance. This study examines negative attitudes and their effect on team performance. Further, this study examines the mediating effect of knowledge hiding and moderating the role of servant leadership. Through a multi-time data collection approach, the authors obtained 363 responses from the education sector in China during the COVID-19 pandemic. PROCESS Hayes model 1 and 4 were used for mediation and moderation analysis. Results show that job insecurity, cynicism, and role stress are significant forces behind knowledge-hiding behaviour. Furthermore, the knowledge hiding behaviour adversely affects task performance. Servant leadership shows a buffering effect on knowledge hiding behaviour caused by negative workplace attitudes. This is one of the first studies in the South Asian environment to examine the association between employees’ negative attitudes and task performance using knowledge hiding as a mediator and servant leadership as a moderator in the COVID-19 scenario. Lastly, the paper concludes with a consideration of its theoretical, practical implication and future direction.

Investigating Inclusive Leadership and Pro-Social Rule Breaking in Hospitality Industry: Important Role of Psychological Safety and Leadership Identification

This study aims to empirically examine the mediating effects of psychological safety and leadership identification on the relationship between inclusive leadership and pro-social rule breaking among hospitality employees. This study analyzes the survey data collected in three waves from 589 employees working in different hotels and restaurants operating in the Northern areas of Khyber Pakhtunkhwa, Pakistan. The scale validity, composite reliability, and hypotheses were assessed through PLS-SEM. The study found that inclusive leadership significantly impacts employees’ pro-social rule-breaking. The study also found that leadership identification and psychological safety partially mediate the relationship between inclusive leadership and pro-social rule-breaking. Hospitality leaders can practice inclusive leadership characteristics because it may significantly enhance employee engagement in pro-social rule-breaking. Through their inclusive features, hospitality leaders can improve employees’ psychological safety and leadership identification, enhancing frontline employees’ pro-social rule-breaking.

Revealing the effectiveness of technological innovation shocks on CO2 emissions in BRICS: emerging challenges and implications

The debate on technological innovation shocks and its effect on the environment are of great interest to academicians and environmentalists worldwide. At present, primary focus of this research is to investigate the asymmetric technology shocks and its impact on CO₂ emissions for BRICS economies. The linear and non-linear panel ARDL models are applied to compute both short-run and long-run dynamics of technology shocks and CO₂ emissions. Asymmetric estimates confer that a positive shock in patents reduces the CO₂ emissions by 0.418%, whereas negative shock increases the CO₂ emissions by 0.854%. Contrariwise, the trademark positive shock increases the carbon emissions by 0.416% and vice versa. The non-linear analysis provides an opportunity to measure the direction and magnitude of positive and negative shocks in technology on the environmental quality of BRICS economies. Hence, policymakers and environmentalists should devise their strategies by keeping in mind the impacts of positive and negative shocks.

The Impact Imposed by Brand Elements of Enterprises on the Purchase Intention of Consumers-With Experience Value Taken as the Intermediary Variable

Against the backdrop of China's current dual-circulation paradigm, consumers have experienced the transition of their demands for products from price-driven needs to brand-driven needs. On the one hand, improving the value of consumer experience during brand building can enhance the exchanges and interactions between brands and consumers, facilitating the co-creation of value. On the other hand, the improvement of consumer experience can continuously strengthen the internal power of the construction of enterprise brand elements, and promote consumer-brand identity so as to constantly improve consumer purchase intention. In this study, we have taken consumers from the B2C market as the survey group while innovatively studying the impact imposed by brand elements on the purchase intention of consumers based on the experience value. In addition, we have established the theoretical framework of brand elements-experience value-consumers' purchase intention based on our analysis of the relationship between the aforementioned three factors. Through empirical research, we have elaborated on whether brand elements can improve consumers' purchase intention and whether the experience value can play an intermediary role. The research findings indicate that (1) the three dimensions of brand elements, namely, brand personality, brand value, and brand culture, can impose a significant positive impact on the purchase intention of consumers and experience value; (2) the specific parts of the experience value, namely, functional value, emotional value, social value, and service value, can impose a significant positive impact on the purchase intention of consumers; and (3) experience value can play an intermediary effect to some extent while brand elements influence the purchase intention of consumers.

Assessing the Influencing Factors of Electronic Word-of-Mouth on CSR Issues. A Case of Hospotality Service Industry of China

Corporate social responsibility (CSR) information can be effectively disseminated via social media in a variety of industries, including the hospitality sector. In the same way, the media has a significant impact on CSR because the news media helps companies achieve their CSR goals. Prior research has not examined the main factors that influence electronic word of mouth (eWOM) on media coverage of CSR issues via social networking websites. For the purpose of examining the most significant predictors of intention to share or comment on negative CSR news reported by one media outlet on a specific social networking site (SNS). 677 Wechat users in China were surveyed in order to test the proposed model empirically. According to the findings of the study, eWOM intentions are positively influenced by environmental CSR content, and advertisement related CSR content. It also confirmed that the value of information is positively influenced by the credibility of the source. The variables interpersonal influencer impact and privacy concerns had no significant relationship, nor did they have any significant relationship with the intentions to share and comment on Wechat. Further the study findings suggest the theoretical and managerial policy recommendation for decision makers.

Empirical Analysis of Organization Quality-Specific Immune Evolution of Intelligent Manufacturing Enterprises Based on Self-Organization Methods

Strengthening organization quality-specific immune is the key linkage to improve the quality performance of intelligent manufacturing enterprises. organization quality-specific immune is constructed by selecting four state variables of organization quality cognition, monitor, defense, and memory. Based on the perspective of self-organization, self-organization theory and methods are used to construct the evolution model of organization quality-specific immune. According to four state variables, the evolution of organization quality-specific immune of fourteen typical intelligent manufacturing enterprises is studied, and the conclusion is drawn according to the relaxation coefficient. The empirical results show that self-organization theory and self-organization methods can effectively analyze the evolution of organization quality-specific immune and provide new inspiration for organization quality improvement and quality management of intelligent manufacturing enterprises. The finding results will present the framework for practicing engineering managers of intelligent manufacturing enterprises to enhance organization quality performance and organization quality-specific immune performance and promote organization quality-specific immune evolution.

The Impact of Customer Experience and Customer Engagement on Behavioral Intentions: Does Competitive Choices Matters?

The study aims to analyze behavioral intentions influenced by customer engagement, experience, and identification moderated by competitive choices in the granite sector of Pakistan. The study has been carried out through primary data analysis of cross-sectional approach in the transition to a sustainable economy. In total, 400 questionnaires were distributed, for which only 216 were filled and usable with a response rate of 54%—collected data from the production managers and units. In contrast, missed mine holders and labor analyzed the data in SPSS and AMOS to run various tests, i.e., reliability, correlation analysis, regression, moderation regression, and confirmatory factor analysis. The study findings indicate a positive and significant relationship and effect among the variables. The reviews might contain some biases. Therefore, this study recommended adopting a probability sampling technique for future studies. The study results in a positive manner indicating customer service involvement as a significant factor in behavioral intention despite competitive options.

The Impact of Corporate Capital Structure on Financial Performance Based on Convolutional Neural Network

Capital structure is an important indicator to measure the source, composition, and proportion of a company's equity and debit capital. It is not only related to the internal operating environment of listed companies but also related to the rights and obligations of shareholders and is closely related to the company's future development direction, decision-making bodies, and changes in governance structure. This study aims to study the impact of corporate capital structure on financial performance based on convolutional neural network. Based on the relevant theories of capital structure, by constructing a convolutional neural network model, taking a listed company as the research object, this study analyzes the company's capital structure, liabilities, and other financial conditions. Finally, it is concluded that short-term liabilities can meet the company's sustainable development and enhance the competitiveness of the industry, thereby increasing the company's operating income. However, a poor capital structure can negatively impact a company's finances. By improving the corporate governance structure of listed companies, strengthening the adjustment of the financing structure of listed companies, and strengthening the management of listed company's operating risks, the company's capital structure can be improved so that the company's financial situation can be sustainable and healthy.

A Novel Multi-Criteria Assessment Approach for Post-COVID-19 Production Strategies in Vietnam Manufacturing Industry: OPA–Fuzzy EDAS Model

The global manufacturing supply chain has been disrupted by the negative impacts of the pandemic. In Southeast Asia, Vietnam’s manufacturing industry is one of the most strongly integrated with global and regional supply chains. The production strategies in the “new normal” are the key solution to the survival and sustainable development of manufacturers. This study aims to develop a two-stage framework to investigate the impacts of COVID-19 and the post-COVID-19 production strategies for Vietnam’s manufacturing industry. As a theoretical contribution, this study proposes a novel and robust integration approach, which combines the Ordinal Priority Approach (OPA) and Fuzzy Evaluation Based on Distance from Average Solution (Fuzzy EDAS), for the first time. The negative impacts of the pandemic were identified and weighted by the OPA method. Then, production strategies were comprehensively evaluated using the Fuzzy EDAS method. Findings indicate that digitization and on-site renewable energy are the most essential recovery strategies for manufacturing in Vietnam. These findings are validated by comparisons with the results of recent multiple criteria decision-making (MCDM) methods. Furthermore, weight sensitivity analysis reveals different suitability of strategies for short-term and long-term negative impacts. As a managerial implication, the multi-scenario ranking results help managers to make resource-allocation decisions for the implementation of post-COVID-19 production strategies.

Knowledge Management in Relationship Among Abusive Management, Self-Efficacy, and Corporate Performance Under Artificial Intelligence

The purpose is to explore the application potential of HCI (Human-Computer Interaction) technology under AI (Artificial Intelligence) in enterprise performance evaluation and the influence of abusive management and self-efficacy on enterprise performance. Guided by psychological theory, employees from a listed real estate enterprise are selected, and the research themes of abusive management, self-efficacy, and employee performance are assumed. Afterward, the employee job satisfaction and performance evaluation model and system interface based on deep learning BPNN (BackPropagation Neural Network), SVM (Support Vector Machine) regression, and HCI are innovatively proposed. The results show that the HCI interface can be accessed accurately according to the employee's verbal instructions. BPNN model has reached the best performance at the iteration of 70times, and all indexes have reached the expected employee satisfaction.

The dynamics of public spending on sustainable green economy: role of technological innovation and industrial structure effects

In order to achieve the goal of sustainable green economic development, it is necessary to conduct a comprehensive assessment of the efficiency of the green economy and compare it with emission reductions. The green economy idea is a much-discussed solution to economic growth. Therefore, this study investigated the impact of government spending on the performance of the green economy of various countries under the "Belt and Road" (BRI) initiative project. The data were analyzed using the BRI economy panel data from 2008 to 2018. The generalized method of moments (GMM) was used to estimate the effect of government expenditures on education and research and development (R&D) on green economic performance index (GEE) in BRI countries. The results reveal that during the study period, BRI countries have experienced an upward transition towards green development, except for Pakistan and Bangladesh; their GEE decreased gradually from 2010 to 2018. Further, the findings of the system GMM revealed that both education and R&D have a positive impact on the green economy. Moreover, the compositional and technological effects of the overall sample were verified with the GMM process. Nevertheless, the sub-sample results revealed a heterogeneous impact on countries with a high per capita GDP. Following the results, useful policy measures for promoting sustainable green economic development have been proposed.

Linking Corporate Social Responsibility to Workplace Deviant Behaviors: Mediating Role of Job Satisfaction

The purpose of this article is to present a mechanism through which the deviant work behaviors of employees can be dealt-with positively through corporate good deeds in the form of fulfilling social responsibilities. Based on the spirit of social identity theory and social exchange theory, the study explores the relationships of various deviant behaviors with corporate social responsibility (CSR) through the mediation mechanism of job satisfaction. Data were collected from 385 employees of 40 large manufacturing organizations involved in CSR activities operating in Pakistan. A self-report survey was conducted using a close-ended questionnaire. Data analysis was performed using SEM through Mplus 7. The results reveal that both internal and external CSR contribute to the reduced level of turnover intention, counterproductive work behaviors, and prohibitive voice behaviors. Job satisfaction fully mediates the relationship for internal CSR while partially mediates for external CSR. The study encourages the practitioners to avail approaches that convey the feelings of care, concern, and safety, representing internal CSR practices through diverse HR interventions, organizational support, and justice. They should also keep up the socially responsible behaviors aiming toward the larger community.

Testing the impact of fiscal policies for economic recovery: does monetary policy act as catalytic tool for economic Survival

This study seeks to evaluate the efficacy of macroeconomic revamping policies operationalized after the pandemic by fiscal and monetary regulators to fight the pandemic in China. This study aims to assess what the Chinese economic recovery implies after the pandemic regarding economic expansion and energy consumption of different economies utilizing an econometric approximation relying on data throughout the COVID-19 phase. Within the extended stage, Chinese economic development spillover impacts attain the same effect on upper-middle-income nations' economic expansion of 0.18 percent, next to the economic development, of lower-middle-income countries of 0.15 percent and high-income nations. We discover proofs of robust direct provincial spillovers, implying that provinces tend to construct a cluster of high-performing and low-performing areas, a procedure that accentuates regional earnings variances. Applying the experience of revamping previous financial crisis, we replicate the impact of the pandemic on the competence of these, and by far, other upper limit income nations to build back better from the pandemic to jobs occasioned by proofs of the pandemic. The spillover impact of China’s economic revival past the pandemic phase's carries a critical effect on the expansion in energy consumption in high-income nations, subsequently middle-income nations. As total factor productivity headwinds underpin economic growth, fiscal policy is the only policy that probably sustains the pollution intensities and concurrently advances household well-being regarding consumption and jobs.

Driving Factors of the Health and Wellness Tourism Industry: A Sharing Economy Perspective Evidence from KPK Pakistan

In the recent years, the health and wellness tourism industry has become one of the new emerging industries in Pakistan. In terms of the sharing economy, the driving mechanism of the health and wellness tourism industry has undergone significant changes. Based on a combination of theoretical and practical research, the paper explores the dynamic system and mechanism of innovation development of health and wellness in the tourism industry in Pakistan. Firstly, it theoretically constructs the driving factors in four aspects, which include market demand, industrial supply, infrastructure, and external environment. Secondly, taking Khyber Pakhtunkhwa province (KPK) as an example, it uses the entropy method and Grey relational analysis to test the driving factors system. The empirical results show that four aspects jointly influence the innovation of the health and wellness tourism industry in Pakistan. Finally, this study discusses several practical implications for the development of the health and wellness tourism industry of KPK for academics, policymakers, business owners, and scholars, with recommendations for future research.