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Purpose: This study investigates the role of telemedicine in sustaining healthcare systems in Europe, during the COVID-19 pandemic. It focusses on how telemedicine serves as a strategic response to modern healthcare challenges, emphasising its efficiency, accessibility, and patient-centred nature.

Need for the study: The need for this study arises from the escalating demands on healthcare systems, especially during the COVID-19 pandemic. It aims to understand the adoption of telemedicine practices across European Union (EU) countries and their impact on healthcare sustainability.

Methodology: This study employs hierarchical and K-Means clustering to analyse EU citizens’ attitudes towards teleconsultations during COVID-19. Principal component analysis (PCA) is used for data compression and insight extraction. Data is sourced from Eurofound’s 2020 and 2021 surveys, involving extensive participant responses across the EU.

Findings: The study’s findings reveal significant shifts towards digital healthcare solutions, such as an increase in online consultations and prescriptions. It identifies different patterns of telemedicine use across EU countries, influenced by socioeconomic and geographical factors. These findings offer insights into future healthcare policy and strategy development.

Practical implications: The findings provide valuable insights into the shifts in telemedicine adoption in the EU, highlighting the significance of economic and sociological factors in healthcare trends. This study stresses the importance of customising healthcare strategies to suit the unique needs and digital capabilities of different countries.

This study aims to examine the effects of religiosity, ethical leadership and local wisdom on the relationship between fraud risk management and asset misappropriation in Indonesia.

Data were collected using a set of questionnaire surveys administered to the head office, local government internal auditors (inspectorate) and local government employees in Indonesia. Sample selection used purposive techniques and obtained 151 respondents who became research data. The dependent variable was asset misappropriation. The independent variable was fraud risk management. The moderating variables for this study were religiosity, leader ethics and local wisdom. The analysis technique applied the structural equation model-partial least square (SEM-PLS).

Fraud risk management has a significant negative effect on asset misappropriation. In addition, this study finds evidence that religiosity, ethical leadership and local wisdom increase fraud risk management against asset misappropriation.

This study proposes an integrative model that enables local governments to understand fraud risk management. By integrating religiosity, ethical leadership and local wisdom, managers can design strategies to prevent asset misappropriation.

This research has the advantage of proposing an integrative model for mitigating asset misappropriation. Research on asset misappropriation is limited. Therefore, this study provides insights into fraud risk management, particularly in Indonesia’s local governments. In addition, this study adds ethical aspects such as religiosity, leadership and local wisdom to complement the weaknesses of fraud risk management and reduce the potential for asset misappropriation.

Introduction: Investments in environmentally friendly initiatives can bolster infrastructure projects, agricultural methods, and water management systems that improve the ability to withstand climate-related difficulties. Green investments encompass endorsing carbon markets and financial instruments that incentivise reducing emissions. This research helps attain the climate objectives described in sustainable development goal 13 (SDG 13).

Purpose: This chapter aims to investigate the relationship between greenhouse gases (GHG) and gross domestic product (GDP), with the underlying objective of understanding the relevance of green investment for sustainable development.

Methodology: For the analysis, the top five countries: the USA, China, Germany, Japan, and India, were chosen based on the world’s largest economies in 2023, as per their GDP data. For testing the hypothesis, data from the World Bank database during the period 2002-2022 was retrieved and GDP is used as a dependent variable and GHG as an independent variable. For the study, panel data are used, and the Johansen cointegration test and ordinary least squares (OLS) regression are applied.

Findings: In the case of China and India, the null hypothesis has been rejected, which is depicted by the significant and high degree of relation between GHGs and the GDP of these two countries. The null hypothesis is also rejected for the USA and Germany, but it shows a significant and moderate degree of relationship between GHG and GDP. For Japan, the null hypothesis is accepted and reflects a negative relationship between GHG and GDP.

This study aims to examine the factors influencing the intention of Muslim Millennial Generation in Indonesia to donate cash waqf digitally.

A quantitative approach was employed, surveying 284 Muslim Millennial Generation in Indonesia. The study integrated the Decomposed Theory of Planned Behavior (DTPB) and Technology Acceptance Model (TAM) to investigate the key factors driving the intention to contribute to cash waqf digitally. The researcher analyzed data using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The findings of this study indicate that all hypotheses related to the variables are supported, including both direct and indirect correlations, except for perceived religiosity. This study confirms that the decision of millennials to donate cash waqf online is influenced by various factors, including their attitudes, the environment they are in, their ability to control their behavior, their perception of the ease and usefulness of technology and the availability of suitable facilities. Knowledge of technology is also a decisive component. Nevertheless, this study yielded intriguing findings that the perceived level of religious devotion does not impact the millennials’ willingness to make online cash waqf donations.

This study’s findings offer valuable insights for waqf institutions, providing a better understanding of Muslim millennials’ characteristics and preferences regarding spending, donations and waqf activities. This understanding can be instrumental in enhancing innovative digital platforms for cash waqf in the digital economy era.

This study uniquely explores the determinants of digital cash waqf donations among Muslim Millennial Generation in Indonesia. Contributions include integrating the DTPB and the TAM for a comprehensive analysis. Cross-disciplinary perspectives from behavioral economics and digital marketing enrich the research. Comparative studies and potential longitudinal analysis enhance depth, providing nuanced insights into the dynamic factors shaping digital donation behavior among Muslim millennials.

This study finds whether there exists any correlation between the rates of technological progress, unemployment and labour productivity among a total of 21 world economies that are categorized as developed, developing and least developed by the United Nations. An attempt has also been made to check the reliability of the model through regression analysis. Time series analysis has been conducted over 19 years, from 2000 to 2018. The Solow Residual Method based on the Cobb Douglas Production function has been used and modified to find the rate of contribution of technological progress towards Gross Domestic Product (GDP) for each country. Correlation analysis has been conducted to measure the degree of correlation between the variables and trend analysis has been used to identify the exact directions in which the variables are moving. Further, regression analysis has been conducted to check whether the identified strength of the relationship between the dependent and the independent variables can be well justified or not. There is an unsustainable economic development when the contribution of technology to a nation's GDP increases in tandem with an increase in the rate of unemployment. A country is said to have sustainable economic development when the rate of contribution of technical advances to GDP growth drops or if it grows but with a lower unemployment rate.

This paper aims to investigate the impact of halal awareness on the relationship between halal supply chain knowledge and purchase intention for halal meat products in the millennial generation.

The quantitative approach with the respondents of 177 millennial generations in Indonesia is selected to understand the relationships between variables. Structural equation model-partial least square is used to analyze the relationship between variables.

The findings of this study found that the purchase intention of halal products in the millennial generation is influenced by several factors such as halal supply chain knowledge, halal certification and logo and religious beliefs. However, the results of this study also show that concern for halal products failed to moderate the relationship between these three main variables on the purchase intention of halal products.

This study provides insights into the concern that strengthens the relationship between the main variables on the intention to purchase halal meat products for the millennial generation.

From managerial perspective, the authors investigate the boundary and effective conditions of recruitment practices (e.g. job advertising and manager recruiting behavior) on recruitment outcomes that include employer image and organizational commitment in the context of recruitment practices. Drawing on signaling theory, the authors argue that using recruitment practices is generally more effective for creating employer image and organizational commitment.

The authors received a final sample of 213 from the employees of beverage industry. In doing so, statistical softwares SPSS (v.23) for data screening and SmartPLS (v.3.3.3) were used for hypothesis testing.

Using survey-based study, the study finds (1) that recruitment practices including job advertising and managers' recruiting behavior can be superior to developing employer image that positively can value the organizational commitment (2) The study identifies a significant role of employer image that is mediating between recruitment practices and post recruitment outcome (e.g. organization commitment).

The outcomes of the study provide valuable directions for human resource (HR) managers in national and multinational public organizations. The article offers recruitment strategies/practices to enhance employer image and organizational commitment.

The novelty of the study is the unique research framework, as the current paper is among the pioneers to empirically analyze the effect of recruitment practices on post-recruitment outcome testing the mediating relationship of employer image between job advertising organizational commitment and between managing recruiting behavior and organizational commitment.

The paper focuses on bridging the existing literature gap on the role of leadership in influencing employee engagement considering the advancement in technologies. With this, the author explores how the three critical elements of service-based companies' business environment-artificial intelligence (AI) success, employee engagement, and leadership are interlinked and are valuable for raising the engagement level of employees.

A purposive sampling strategy was used to select the employees working in the respective companies. The survey was distributed to 150 senior management employees but responses were received from only 56 employees making the response rate 37.33%. Consequently, an empirical examination of these 56 senior management employees belonging to service-based companies based in Delhi NCR using a survey questionnaire was conducted.

The PLS-SEM (partial least squares structured equation modelling) revealed that AI has a positive role in affecting employee engagement levels and confirmed the mediation of leadership. The magnitude of the indirect effect was negative leading to a reduction in total effect magnitude; however, as the indirect effect model has a higher R square value, the inclusion of a mediating variable made the model more effective.

This study contributes to extending the existing knowledge of the academicians about the relationship theory of leadership, AI implementation in organizations, AI association with leadership and AI impact on employee engagement. The author extends the theoretical understanding by showing that more integration of AI-supported leadership could enable organizations to enhance employee experience and motivate them to be engaged. Despite its relevance, due to the limited sample size, focus on a specific geographic area (Delhi NCR) and the constraint of only using quantitative analysis, the findings open the scope for future research in the form of qualitative and longitudinal studies to identify AI-supported leadership roles.

The study findings are beneficial majorly for organizations to provide them with more in-depth information about the role of AI and leadership style in influencing employee engagement. The identified linkage enables the managers of the company to design more employee-tailored strategies for targeting their engagement level and enhancing the level of productivity of employees. Moreover, AI-supported leadership helps raise the productivity of employees by amplifying their intelligence without making technology a replacement for human resources and also reducing the turnover rate of employees due to the derivation of more satisfaction from existing jobs. Thus, given the economic benefit and societal benefits, the study is relevant.

The existing studies focused on the direct linkage between AI and employee engagement or including artificial intelligence as a mediating variable. The role of leadership is not evaluated. The leadership enables supporting the easy integration of AI in the organization; therefore, it has an important role in driving employee engagement. This study identifies the contribution of leadership in organizations by providing the means of enhancing employee satisfaction without hampering the social identity of the company due to the integration of AI.

The study seeks to explore the intricate dynamics among customer relationship management (CRM) practices, guest satisfaction and loyalty in the hospitality context. Additionally, it aims to examine the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and loyalty.

An integrated theoretical framework is developed by incorporating CRM practices and guest engagement into the satisfaction-loyalty framework. Two research instruments were adapted from the literature to assess the perspectives of customers and employees in the hotel industry in Kashmir. The customer survey measured guest satisfaction, loyalty, and engagement, while the employee survey focused on CRM practices, including key customer focus and CRM organization. Data was collected using a pen-and-paper survey with convenience sampling across 10 qualifying hotels, each classified as 3-star or above. A total of 270 matched responses from guests and employees were obtained and analyzed using descriptive analysis, structural equation modeling (SEM), and moderation analysis with SPSS and AMOS software. The study utilized a rigorous data matching process to ensure reliability, with guest-employee pairs verified and cross-checked with hotel records.

The results indicate CRM practices play a pivotal role in shaping guest satisfaction and loyalty. Notably, personalization and a targeted customer approach emerged as the most influential factors in enhancing tourist satisfaction. Similarly, prospecting, personalization, and effective knowledge management significantly contributed to visitor loyalty. The establishment of robust relationships is underscored through collaborative active guest engagement. Furthermore, the study highlights the nuanced relationship between satisfaction and loyalty moderated by guest engagement. High levels of guest engagement amplify the positive impact of satisfaction on loyalty, while lower engagement levels attenuate this effect. Moreover, the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and CRM practices and guest loyalty was notably strong at elevated guest engagement levels and relatively weaker at lower engagement levels.

While the study findings encourage organizations to prioritize customer relationship development, hospitality entities must emphasize the adoption of CRM philosophy and robust guest engagement measures. Actively involving guests in co-creating services can yield incremental benefits in terms of attracting, retaining, and effectively serving guests.

This study introduces novel dimensions to the existing CRM framework within the hospitality context, specifically exploring the impact of hotel-specific elements (personalization and prospecting) on customer satisfaction and loyalty. Furthermore, it innovatively investigates the moderating role of guest engagement in the satisfaction-loyalty relationship, expanding its scope to include the relationships between CRM practices and guest satisfaction and guest loyalty.

This study aims to identify the librarians’ readiness to leverage artificial intelligence for sustainable competence development and smart library services.

This study used a quantitative research design for addressing the objectives. The population consisted of librarians from the public and private sector universities of Pakistan. The data were analyzed by using Smart PLS software.

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modeling analysis. A significant positive impact of AI adoption was found on the implementation smart library services. Findings revealed that behavioral intention motivated librarians to adopt AI tools in university libraries for the delivery of smart library services.

We applied quantitative method to carry out the study while future authors may conduct a systematic literature review on the same topic for offering a broader outlook.

It has provided practical contributions by providing a baseline for management bodies to construct policies for the successful adoption of AI in libraries for sustainable competence development of practicing librarians and implementation of smart library services.

The study has social implications too as AI integrated library services prove fruitful for society and digitally skilled librarians play a vital role for the promotion of reading and research culture in society.

To the best of the authors’ knowledge, this is the first study on librarians’ readiness to leverage artificial intelligence for the enhancement of digital literacy skills, sustainable competence development and smart library services in the context of Pakistan.