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This research explains the critical role of technological readiness and green dynamic capabilities in enhancing the sustainability performance of manufacturing firms, which is pivotal for achieving the United Nations’ Sustainable Development Goals. The theoretical framework is grounded in the dynamic capability theory, positing that technological readiness enhances a firm’s green dynamic capabilities, and employee green behavior moderates the effect on the sustainability performance of manufacturing firms.

Quantitative data from 1,660 managerial employees of a diverse sample of manufacturing firms was aggregated at the firm level using interclass correlation and interrater agreement, ensuring robustness using at least two responses per firm. With the final dataset of 418 firms, structural equation modeling was conducted using AMOS26.

The findings reveal that technological readiness positively affects sustainability performance and enhances it through green dynamic capabilities. Furthermore, the study highlights the positive moderating role of employees’ green behavior, amplifying the impact of green dynamic capabilities on sustainability performance.

This research makes a novel contribution to the body of knowledge by integrating dynamic capability theory with empirical evidence on sustainability performance. It represents a significant step toward promoting a more sustainable and responsible future for organizations and society and provides comprehensive insights into the complex interplay of these variables. These insights are crucial for academia, industry practitioners and policymakers striving to foster sustainable practices within the manufacturing sector.

Sustainability is a pressing global issue that affects everyone on the planet. This study aims to provide a deeper understanding of the nuanced interplay between mindful organizing (MO), organizational learning capability (OLC), leadership commitment to sustainable development goals (SDGs) and sustainability performance, adopting the theoretical foundation of organizational learning.

The survey data from 728 middle management employees of exporting firms in Pakistan were collected at two points. The mediated moderation analysis was performed through structural equation modeling in AMOS 26.

The results indicate a positive relationship between MO and sustainability performance. The mediating effect of OLC highlights that firms that acquire, assimilate and apply knowledge and insights leverage their MO strategies to improve sustainability performance more effectively. Additionally, the leadership commitment to SDGs amplifies the positive effect of OLC on sustainability performance.

These results have important implications for managers and policymakers who seek to promote sustainability in organizations. The findings suggest that cultivating a mindful organizational culture and investing in learning capability enhance sustainability performance. Exporting firms should develop comprehensive learning programs that embed mindfulness and sustainability into the core of organizational culture. More interdisciplinary research is needed to integrate insights from environmental science, psychology, management and organizational behavior.

This research stands out for its integrative approach, practical relevance, empirical examination of important concepts and alignment with global sustainability goals. Exporting firms must understand how organizational learning capabilities and MO can be harnessed to achieve sustainable outcomes.

Consumers and businesses are becoming increasingly conscious of sustainable business practices and are often willing to pay a premium for responsibly sourced and manufactured products. Many countries and organizations have implemented regulations and standards for sustainability and companies face penalties or are barred from exporting for not meeting the requirements. Rooted in the resource-based view theory, this study aims to test a moderated mediation model to improve the sustainability performance of exporting firms.

Textile firms generating more than 25% of export revenues were targeted for this research. The data collected from 245 middle management-level employees were tested for reliability and validity. The structural equation modelling in AMOS 26 was used to test hypotheses.

Organizational readiness for green innovation (ORGI) has a direct positive effect on sustainability performance. The mediation analysis implies that ORGI translates into sustainability performance through improvement in green innovation performance. The moderating effect of knowledge integration highlights the importance of being prepared internally and actively seeking and incorporating external knowledge to improve green innovation performance.

The findings offer a solid foundation for informed decision-making, policy development and strategies to improve sustainability performance while aligning with the global nature of the textile industry and its inherent challenges. The proposed model and practical implications guide policymakers and managers of exporting firms to foster a culture of green innovation to leverage the effect of their readiness for green innovation on sustainability performance.

This study investigates the influence of paradoxical leadership on employee transformative learning in higher education institutions (HEIs). Based on paradox theory, this research examines how a paradoxical mindset mediates this relationship and explores the moderating role of employees’ moral values in developing a paradoxical mindset and fostering transformative learning.

The research adopted a quantitative approach. In three phases, data were collected from 411 randomly selected faculty members of HEIs in Pakistan to assess their perceptions of paradoxical leadership, followers’ paradoxical mindset, moral values and transformative learning outcomes. Structural equation modeling was employed for analysis in AMOS26.

The findings reveal paradoxical leadership’s positive and significant impact on transformative learning, mediated by developing a paradoxical mindset. Moral values positively moderate the relationship between paradoxical leadership and developing a paradoxical mindset. However, the moderating effect of moral values on the link between a paradoxical mindset and transformative learning was insignificant.

The study suggests that organizations, particularly HEIs, should cultivate paradoxical leadership to navigate inherent tensions and contradictions, fostering an environment conducive to transformative learning. Developing a paradoxical mindset among employees is crucial for enhancing adaptability and learning, with moral values playing a pivotal role in amplifying the effectiveness of paradoxical leadership.

This study contributes to the literature by providing empirical evidence on the mechanism through which paradoxical leadership influences transformative learning. It extends paradox theory to the context of transformative learning, highlighting the importance of cognitive and ethical dimensions in leadership and learning processes within HEIs.

Green innovation, particularly in manufacturing firms, is one of the most advocated methods to curb the effects of climate change. This study aims to investigate the impact of the integration of green customers and suppliers on the green innovation performance of food manufacturing firms in Pakistan. The institutional and resource-based view theories determine the moderating role of regulatory pressure and the mediating role of green knowledge integration capability (GKIC).

Data was collected from 511 middle management-level employees of food manufacturing firms in Pakistan. The questionnaire was tested for reliability and validity. Hierarchical regression is used to test the proposed hypothesis.

A marginal improvement in integration with green customers can increase the green innovation performance (GIP) of a firm by 23.6%. Green supplier integration can improve the GIP by 14.2%, whereas the GKIC mediates the relationship between Green Customers Integration (GCI) and GIP but not for green suppliers integration (GSI). The moderating effect of regulatory pressure was significant for the relationship between GCI and GIP but insignificant for GSI.

Food manufacturing accounts for approximately 16% of global green house gases (GHG) emissions. Sustainable development goals (SDGs) cannot be achieved without a significant decrease in GHG emissions by food manufacturing companies. Therefore, it is crucial to investigate firms' green innovation performance in this sector. The findings of this study can help policymakers develop policies for achieving SDGs.

Abusive supervision (AS) provides insights into the darker aspects of leadership behavior and its effects on employees. Understanding and addressing AS can contribute to creating healthier work environments and promoting employee well-being. The effect of abusive leadership (AS) on counterproductive work behaviors (CWB) in nursing staff is examined through the theoretical lens of the social exchange theory.

Data were collected from 302 nursing staff working at public and private hospitals through a self-administered questionnaire. Measurement scales were adapted from the literature and the data were tested for validity and reliability before performing hypotheses testing through structural equation modeling in SmartPLS 4.0.

AS positively affects CWB, and psychological contract breach mediates this relationship. However, employees with high Islamic work ethics (IWE) are less concerned with supervisors' dysfunctional behaviors and pay less attention to them; thus, IWE buffers the effect of AS on CWBs.

A positive and supportive organizational climate is crucial for attracting and retaining skilled healthcare professionals. When healthcare professionals are subjected to abusive behaviors, their ability to share knowledge, adopt safety protocols and provide the best patient care may be hampered. Therefore, addressing AS in hospitals is vital to promoting a positive work environment, enhancing employee well-being and improving patient care.

The study delves into the role played by cutting-edge data analytics, machine learning, and innovative technologies in reshaping traditional insurance practices. The primary goal of this review is to juxtapose findings from the literature sources, enabling a comprehensive analysis of the current state of implementation.

Systematic narrative review methodology has been applied to the present study. Scopus database has been used for the manuscripts ranging from year 2020 to 2024 considering the 5-year rule. 74 manuscripts were reviewed to navigate the landscape of data-driven revolution, unlocking the potential to elevate insurance operations to new heights. Two research questions about the impact of data alchemy on operational efficiency and insights and its contribution to reshaping the future landscape of insurance practices have been answered.

This approach captured the interplay between the theoretical potential for insurance and the practical realities of implementation of advanced practices, drawing upon the collective expertise within the field. By doing so, the article discerned the trajectory of the insurance sector concerning the advanced data alchemy observed in the industry.

The current research contributes to the broader area of data alchemy in the insurance industry. The transformative power of big data analytics lies in its capacity to turn vast and diverse datasets into valuable insights, driving innovation, informed decision-making, and improved business outcomes across various sectors. Notably, the research extends the body of literature exploring the impact of data alchemy on operational efficiency and insights, area where limited studies have been conducted.

Purpose: The article discusses the use of risk assessment models in the health insurance sector, aiming to enhance the quality of care provided to individuals by leveraging technologies such as cloud-based platforms and remote medical sensors.

Methodology: The article reviews various papers on the topic, examining studies ranging from the impact of co-insurance in Vietnam to the architecture of e-health systems. It also discusses different models for connecting body sensors to cloud-based systems, emphasizing the importance of algorithm and shared data models (SDMs) for the health and insurance industries.

Findings: Findings highlight the increasing trend of individuals, families, groups, corporate houses and governments leveraging health insurance policies to mitigate risks, even in areas lacking basic primary health facilities. The article underscores the significance of technologies like data mining and machine learning in adding value to the insurance sector.

Practical Implications: The article presents an architecture for health risk analysis monitoring, consisting of multiple layers to ensure effective risk management.

Originality: The interdisciplinary study of merging designs for healthcare and insurance is depicted as an ongoing process aimed at improving overall care quality. The article explores innovative approaches and platforms, showcasing the originality in addressing challenges within the health insurance sector.

Introduction: Data play a very significant role in solving the problem faced at micro and macro levels. Financial inclusion and insurance penetration have been a major problem of developing economies. These two economic indicators can be strengthened with the emergence of data alchemy.

Purpose: The present research study is conducted with the objective of measuring the impact of technological infrastructure, data alchemist techniques, and regulatory environment on insurance penetration and financial inclusion.

Methodology: To meet the research objectives, data were collected through a random sampling technique from the insurance agents in Mumbai, which can be considered the heart of insurance in India. On the data collected, the partial least squares (PLS) algorithm was applied using smart PLS software. PLS is a statistical method used for predictive modeling and analysis of complex data with multiple variables.

Findings: The final results revealed a significant relationship between data alchemy techniques and financial inclusion. Also, a significant impact on the financial inclusion level of the regulatory environment is also recorded. However, in a developing country like India, currently data alchemy techniques are not significantly impacting insurance penetration.