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This study aims to investigate the perspective of corporate philanthropy during the coronavirus disease 2019 (COVID-19) in China for firms with various levels of corporate social responsibility (CSR). Specifically, the study appraises the impact of the COVID-19 pandemic on the stock returns and sustainable development of Chinese-listed companies and determines the likelihood of paying donations vis-à-vis firm reputation.

The study used data from 117 Chinese-listed firms engaged in philanthropy during the COVID-19 pandemic. The authors also utilized the stock returns and cash donation data, and owing to the cross-sectional data and continuous nature of dependent variables, they employed the ordinary least squares regression to test the research hypotheses.

The results show that irresponsible actions have a positive relationship with donations. The study particularly reveals that irresponsible firms have significant negative abnormal returns during the first wave of the COVID-19 pandemic.

To the best of our knowledge, this is the first empirical study to explore the perspective of corporate philanthropy during the COVID-19 pandemic for companies with different CSR levels. This study contributes to the empirical research on CSR and provides insights for managerial-cum-financial decisions to encourage managers of irresponsible firms to pursue philanthropic behaviors after crisis events.

The concept of online shopping has been in vogue for the past two decades and is on the rise. Even developing countries like Pakistan are using electronic platforms to buy and sell goods and services, and the trend has been increasing ever since the COVID-19 pandemic. Drawing on the expectancy-disconfirmation theory, this study aims to test the e-service quality (E-SQ) and e-customer satisfaction (ECS) linkage with the mediating roles of functional values (FVs) and hedonic values (HVs).

The data have been collected from 298 customers of AliExpress and Daraz e-commerce platforms and analyzed using covariance-based structural equation modeling (CB-SEM).

The results of the study showed a significant positive relationship between E-SQ and ECS and indirect linkage through FVs and HVs have also been established.

E-commerce platforms, particularly in Pakistan, should place a strong emphasis on FVs by providing accurate product details, user-friendly navigation, transparent pricing and streamlined transactions. Customers' trust and confidence will increase if they have a smooth and effective online purchasing experience. Customer satisfaction may be influenced by regular platform functionality and usability changes.

The use of functional and HVs is considered to be a novel factor in testing the relationship between E-SQ and ECS.

The authors examined how employee led exchange benefits the organizations. Specifically, the authors aim at investigating the mediating role of family supportive supervision between employee performance and taking charge behavior. The authors further examined leader-member exchange (LMX) as a boundary condition between employee performance and family supportive supervision.

The authors collected data from 295 employees and their supervisors working in various public sector organizations of Pakistan on a convenience basis. Specifically, data on family supportive supervision and LMX was collected from employees; whereas, data on employee performance and taking charge was collected from their supervisors between June–September 2021.

The statistical analysis reveals that high-performing employees are reciprocated by the high family-supportive supervision which increases their work-life balance and they further reciprocate by showing a propensity to take charge. In addition, LMX is noted to strengthen the association between employees' performance and family supportive supervision.

This study explains how managers can extend the stream of employees' performance by highlighting the role of family-supportive supervision and LMX. The managers through high LMX and provision of family-supportive supervision can boost the employees' outcomes from job performance to extra-role performance (i.e. taking charge).

This study adds value to the existing body of knowledge by considering performance as a predictor of various organizational-level consequences. Recent studies have considered the negative consequences of employees' performance, while the positive aspect has been called for an investigation.

This research was initiated by motivation from a real business problem that delves into lean management practices in dairy farm operations. It investigates how lean management practices can be applied as an improvement strategy in the dairy business to evaluate its impact on performance, where profitability is a decisive factor.

Based on the qualitative design, a 5-phase action research methodology was used in this study, where multiple data collection sources were used, including focus group discussions, on-site observation or Gemba walks and process mapping. The impact is evaluated by comparing the key performance measures with the same period before and after research.

The research revealed that lean management practices can significantly improve dairy business performance. It explained vital aspects of lean management practices and their sequence with examples of first-hand applications. It explained, how lean management practices were applied in dairy farm operations. Furthermore, the research resulted in significant benefits, in terms of quality, cost and profitability.

This research was conducted in a real business setting in the field environment, to improve dairy business performance. It was a distinctive application of lean management practices to solve a national problem. This could be used as a road map to bring continuous improvement at the national level to improve the performance of food value chains.

This research is unique because it addresses the methodological, population and empirical gaps in dairy farm operations. It adds value to the existing knowledge base by sharing best practices, developed and implemented for the first time to the best of our knowledge, like high-level process mapping and performance measures at different levels. Furthermore, the solutions can be simulated in related farm operations to bring breakthrough improvements in dairy business performance.

The ailing agriculture sector in Pakistan demands a supportive financial sector. The low adoption of Salam financing by Islamic banks does not match the potential demand. Empirical studies identified demand-led issues that led to a low proportion of Salam financing, but the exploration of supply-side constraints is overlooked.

This study has applied Interpretive Phenomenological Analyses on 20 interviews with the experts in the Islamic banking industry who play a role in decisions on Salam financing to the agriculture sector. The purpose of the study is to explore the determinants of low adoption of Salam financing by Islamic banks.

The experiences led to the major reasons for the low adoption of Salam financing categorized as intentions, attitudes and behavior control which corresponds to the theory of planned behavior.

This study is instrumental in exploring the supply-side constraints to Salam financing and helps find aligning theory to intervene via Islamic banking regulations.

The purpose of this study is to investigate offline retailers’ cryptocurrency adoption through the unified theory of acceptance and use of technology (UTAUT/2), technology acceptance model (TAM) and other related variables.

A mixed-method (QUANT-Qual) was employed. The study employed a quantitative approach (partial least squares-structural equation modeling) for Study 1 and a qualitative focus group discussion for Study 2. The qualitative segment enhances the comprehension and interpretation of outcomes derived from the quantitative analysis.

Study 1 identified six crucial factors in cryptocurrency adoption: trust, personal innovation, hedonic motivation, social influence, safety and a positive attitude. Perceived ease of use, price value and satisfaction were non-significant. Study 2 elaborates on the findings, and highlights the reasons for the insignificant factors.

This research contributes to theoretical knowledge by empirically testing established technology acceptance theories like UTAUT/2 and TAM in the context of retail cryptocurrency adoption. It introduces previously unexplored factors, such as personal innovativeness, hedonic motivation and safety/reliability, enriching the theoretical landscape.

This study provides practical insights for cryptocurrency stakeholders, including government, regulators, consumers, businesses and the financial sector, regarding retailers' intentions to adopt cryptocurrencies in North Cyprus.

This study can enhance understanding of factors facilitating cryptocurrency integration into mainstream retail, potentially reshaping traditional finance. Economically, adoption can boost financial inclusion, offering efficient transaction methods. This transition may disrupt existing economic models, drive payment technology innovation and change consumer behavior toward digital assets.

This study stands out by using a mixed-method approach to comprehensively examine cryptocurrency adoption by offline retailers, considering various factors and providing a holistic perspective, unlike previous research that often focused on specific user groups.

Through the review of several journal articles on the adoption of information and communication technologies (ICTs) and how it impacts students’ motivation to continue with their studies or to drop out of their academic program, this study aims to review the literature on the impact of ICTs on student motivation at a university.

This paper is based on a systematic literature review steered by the PRISMA guidelines. This paper uses both Durban University of Technology subscription-based and publicly available papers. The research articles examined were published between 2018 and 2023 in Scopus, Web of Science and ScienceDirect.

Reviewed literature bespeaks that ICTs can increase student motivation by enhancing interactive, engaging and individualized learning. Digital technologies that engage students and offer a more engaging learning environment include instructional apps, online simulations and multimedia content. Using ICTs may be useful in lowering university dropout rates.

The systematic review yielded valuable insights for both academic research and real-world applications in education regarding the Durban University of Technology. The study offers a comprehensive analysis of the nexus between ICTs and student motivation.

This study aims to critically analyze existing research on blockchain technology adoption, examining the dominant models and methodologies used, the primary domains where blockchain is applied and the emerging opportunities across various sectors.

Using a methodical systematic review approach, the authors meticulously examined a pool of 1,322 collected articles, subjecting 38 studies to rigorous assessment. Through this comprehensive analysis, the authors unveiled the key models and influential factors that intricately shape the trajectory of blockchain adoption.

The primary models identified for investigating blockchain adoption were the technology acceptance model and technology–organization–environment. Apart from the core variables within these models, the pivotal determinants influencing various blockchain applications include perceived trust, perceived cost and social influence. In addition, this study highlights supply chain management as a prominent domain for blockchain application adoption.

Understanding these influential factors and models can guide practical decisions and aid stakeholders in formulating effective strategies for blockchain adoption in diverse sectors.

This study contributes to advancing the understanding of blockchain adoption dynamics by unveiling the prevalent models and determinants shaping adoption. This study offers valuable insights into the factors influencing the use and adoption of blockchain technologies across diverse sectors.