In the context of the United Nations Sustainable Development Goals (UN-SDGs), this study accentuates the role of the tourism and hospitality sector in promoting sustainability. The primary purpose is to unravel the relationship between corporate social responsibility (CSR) and energy-specific sustainable behavior of employees (ESBE), with particular emphasis on the mediating roles of green intrinsic motivation and personal environmental norms. Utilizing a three-wave data collection approach, we secured 325 valid responses from sector employees at various levels (manager-non managers) and applied Structural Equation Modeling through the SMART-PLS tool to assess the hypothesized relationships. The findings highlight a pronounced interconnection between CSR, ESBE, and the designated mediating variables. These results not only augment the academic literature by illustrating the psychological underpinnings bridging CSR to ESBE, but also equip the tourism and hospitality industry with actionable insights. Through informed CSR initiatives aligned with employee values, the sector can galvanize sustainable behaviors and create business models that resonate with the aspirations of the UN-SDGs, pointing the way to a more sustainable industry.

This dataset integrates and helps examine the impact of green intellectual capital (GIC) which comprises of green human capital (GHC), green structural capital (GSC), and green relational capital (GRC) on green organizational culture (GOC). Secondly, it enables the investigation of GOC as a mediation phenomenon between GIC and sustainable business model innovation (SBMI). Moreover, it highlights the moderation of frugal innovation (FGL) on GOC and SBMI relationship. An online survey was designed using Google forms to collect data from 345 middle/ senior management employees working in medium and large manufacturing firms in Pakistan. Unit of analysis is the organization; thus, each response represents one firm. SPSS and Smart PLS 4 were used for data analysis. Dataset demonstrates that GHC, GSC, and GRC positively impact GOC, which subsequently enhances SBMI. Moreover, effective implementation of FGL can bolster the effect of GOC on SBMI. The dataset is valuable as it can be reproduced and reanalyzed. It offers insights for professionals to revolutionize their innovation for environmental initiatives particularly in the manufacturing sector and train their staff to use modern eco-friendly ingenuities leading to enhanced business performance as well as sustainable development goals. Furthermore, the dataset holds significance for policymakers involved in implementing green economic revitalization programs, enabling them to offer incentives or penalties to encourage compliance.

The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω₁) and GARCH beta (ω₂) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

This study explores the effect of sustainability communication on employee ecological behavior in green hospitals in China, with the mediating effects of communal relationships and ecological norms and the moderating effect of green warm glow. The study design was a cross-sectional survey conducted with 428 employees of several green hospitals. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze the data in testing the hypothesized relationships. The results show that sustainability communication has a direct positive influence (β = 0.238, p < 0.001), and an indirect positive influence on ecological behavior through communal relationships (β = 0.095, p < 0.001) and ecological norms (β = 0.074, p < 0.001). Furthermore, green warm glow significantly buffers the relationship between communal relationships and ecological behavior (β = 0.107, p < 0.001), while failing to significantly buffer the relationship through ecological norms (β = 0.009, p = 0.831). These results reinforce the importance of effective sustainability communication strategies in developing ecological behavior, via psychological and relational pathways, with the potential to increase sustainability practices in the healthcare sector.

In an era where Financial technology (FinTech) firms are increasingly dependent on blockchain technology, FinTech employees are confronted with information overload that can affect organizational performance. Grounded in socio-technical systems theory (STS), this study explores the role of blockchain financial communication adequacy in driving employee-perceived economic outcomes with occupational well-being and employee's workplace resilience as two mediating variables while employee perceived chatbot assistance in blockchain finance plays the moderating role. Data from 436 employees from a total of 3 FinTech firms with a blockchain native to Saudi Arabia were analyzed using SmartPLS. Results show that communication adequacy directly increases perceived economic outcomes and works through improved well-being and resilience. Moreover, every mediation channel is further enhanced with AI-chatbot support. These insights shed light on the synergies between humans and machines that are required to bring ledger transparency to financial success and provide a blueprint for practitioners looking to optimize socio-technical interfaces in digital finance.

Purpose The purpose of this study is to investigate the relationship between sustainable media richness and online shopping behavior, with the role of online shopping satisfaction and information privacy concern. Method This study used the quantitative exploration approach. A sample of 350 individuals was gathered through a survey. The survey was conducted using an online questionnaire. For analysis, PLS-SEM was used as a method of estimation. Result The findings of this study indicated that the sustainable media richness is the most relevant and significant element that positively influences the online loyalty and the online shopping behavior of the internet buyers, while information privacy concern has a negative impact on the customer loyalty and their online shopping behavior. Practical implications This study provides implications for researchers, particularly with respect to the requirement for more exploration on the issues of better media richness, data protection, and private information privacy, which have a direct impact on the online loyalty and online shopping behavior of online buyers. Social implications This study helps the web promoting industry in settling media mechanisms for advertising practice troubles, for example, internet selling utilization of individual data, the issue of data protection with outsiders, etc. These backings of online advertisers in expanding customer loyalty and settling buyer correspondence give that edge during online purchasing. Originality/value This study provides a guideline to service providers to help them make decisions about how to create loyal followings. The study also examined how the online purchasing behavior of e-commerce buyers is directly impacted by the richness of the better media. This is our new advancement because of this exploration paper.