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Debates regarding climate change risk perception (CCRP), particularly its scale and impact on social and environmental sustainability, have continued for decades. CCRP is experiencing a renaissance with an increased focus on environmentally relevant behaviors to mitigate the effects of climate change. However, CCRP lacks investigation from the employee perspective. Supported by the social exchange and value–belief–norm theories, this study aims to address the impact of employees’ CCRP on their proenvironmental behavior (PEB) via the moderating roles of environmental values and psychological contract breach.

The nonprobability convenience sampling technique was used to collect survey data from a sample of 299 employees across 138 manufacturing firms in Pakistan.

The results show that employees’ CCRP positively impacts their PEB and that this relationship is moderated by their environmental values and psychological contract breach. Specifically, environmental values strengthen the CCRP–PEB relationship, while psychological contract breach weakens it.

The findings of the study emphasize useful guidance for managers and practitioners as a future avenue to restructure the climate change framework by emphasizing the conditions (i.e. environmental values and psychological contract breach). In doing so, the study is beneficial for managers and practitioners in helping to increase employees’ PEB through the development of climate change action plans.

To the best of the authors’ knowledge, this study is one of the first investigations into CCRP–employees’ PEB nexus in the developing country context. The study incorporates social exchange and value–belief–norm theory, which serve as the CCRP’s theoretical underpinnings. The findings advance the new knowledge about a firm’s social responsibility to achieve the sustainable development goals outlined in the UN’s 2030 Agenda.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

Congruent with the world-wide call to combat global warming concerns and advance intellectual capital (IC), organisations are being pressured to ensure that IC is managed effectively to encourage green initiatives. In this regard, green entrepreneurial orientation (GEO) is emerged as a relevant IC. GEO is recognised as a mitigating factor of environmental degradation in the literature. Although prior literature has observed the nexus between GEO and firm performance, the role of GEO in leveraging sustainable performance has been limitedly explored. This study explored the relationship between IC as a GEO and enterprises' sustainable performance through the moderating roles of environmental consciousness and green technology dynamism (GTD) in the context of two developing countries (Pakistan and Malaysia).

Data provided by 296 respondents from 264 manufacturing small and medium-sized enterprises (SMEs) in Pakistan and Malaysia were analysed through a three-wave research design. AMOS 23 software was used to perform covariance-based structural equation modelling (CB-SEM), while hierarchical regression analysis was applied using the SPSS 25 software to examine the causal relationships in the model.

IC as a GEO significantly influences sustainable performance, akin to environmental consciousness and GTD. Besides, GTD has a significant moderating effect between GEO and financial and environmental performance in Pakistan and Malaysia but not between GEO and social performance. Environmental consciousness has a significant moderating role in the impact of GEO on financial performance in Pakistan and Malaysia, but not on social and environmental performance.

The study's findings are useful for managers of Pakistani and Malaysian manufacturing SMEs to identify ways to encourage GEO to improve sustainable performance in their firms. The findings suggest that managers should effectively implement GTD and environmental consciousness to strengthen the GEO and sustainable performance relationship. Managers can use GEO concretely as a reference for the companies that intend to support the United Nation SDG-2030 agenda and to find new business opportunities for the implementation of sustainable development.

To the best of the authors' knowledge, this study is the first to examine the link between GEO and sustainable performance in developing countries such as Pakistan and Malaysia. Although the influence of various intangible assets or IC on sustainable performance has been widely examined in the literature, the role of GEO as IC has been limitedly explored. This study extends the literature by adding to the knowledge of GEO as a form of firms' IC that enhances boundary conditions in developing countries.

Drawing on the conservation of resources (COR) theory, this study aims to examine the effects of servant leadership and despotic leadership on employees’ happiness at work (HAW) through job crafting.

To test the hypothesized relationships, the data were collected from 309 Pakistani employees. Structural equation modeling was used to analyze the data.

The findings showed that servant leadership is an optimal leadership style for creating employees’ HAW. In addition, job crafting was found to mediate the effects of servant leadership on employees’ broad-based positive attitudinal outcome (HAW). Moreover, results showed that despotic leadership negatively influences employees’ HAW through job crafting.

This study is novel as it investigates how newer forms of positive (servant) and negative (despotic) leadership styles influence employees’ multidimensional attitudinal outcome (HAW) via job crafting. By doing so, this research extends the nomological network of servant leadership, despotic leadership, job crafting and HAW.

Lean manufacturing (LM) is essential for businesses to remain competitive in today’s global economy and to meet the needs of consumers from three separate perspectives: price, dependability and production schedules. A fundamental goal of this research is to how lean management in manufacturing organization may improve product value for the customer, address customer concerns, minimize costs and boost the firm’s profitability.

The extensive literature analysis identified a number of LM enablers and manufacturing industry factors that might favorably affect the organizations operational performance. Initially, 16 enablers of LM and 16 factors operational performance were identified, which were later reduced to 8 factors each. After that, Grey-DEMATEL technique was applied to investigate the relationships between the factors by categorizing elements into two groups (cause and effect) and ranking them within each category.

The results show that F4 (Work Force Development) and F7 (Six Sigma) were the key enablers of LM. Similarly, F12 (Maintain Better inventory control/optimize inventory level) and F14 (Reduce conversion cost) are the key effect factors of operational performance. It eliminates inefficiencies in the production process and internal storage requirements while retaining a high level of dependability and flexibility in response to customer demands.

LM has unquestionably been a popular method for improving the production efficiency of industrial sectors for the last two decades. Despite the fact that LM has helped several firms reduce waste and thereby improve a range of efficiency metrics, many businesses are still struggling to effectively transform into lean firms. While previous studies have explored LM’s significance and its influence on different aspects of organizational metrics in various industries, this research pioneers in probing into the nuanced relationship between LM enablers and OP in a critical and procedure-intensive industry.

This study aims to present a great deal of interest in researching plant-based phytopharmaceuticals and nutraceuticals as a possible alternative to synthetic medication, both to avoid their side effects and for financial reasons.

Mankind has used medicinal plants since the beginning of civilization. Nature has been explored as a source of therapeutic chemicals for thousands of years, and many modern drugs have been discovered from natural sources. The primary medical care system of resource-poor areas in India has continued to rely on traditional medicine as the most accessible and reasonably priced form of treatment.

Tinospora cordifolia is a plant that is frequently used in Ayurvedic and traditional medicine throughout India. Although almost all of its parts are used in conventional medical systems, the leaves, stems and roots are the most significant ones used medicinally. All forms of existence can benefit from the versatility of T. cordifolia. It includes a wide variety of compounds that impact the body.

The goal of this review is to provide a concise summary of the knowledge about the pharmacological, phytochemistry, botanical, ethnopharmacology, toxicity study, marketed products and patents of the T. cordifolia plant.

In the context of the environmental degradation challenge in manufacturing firms, greening the supply chain (SC) is the most widely endorsed method to mitigate the adverse repercussions of climate change. Based on organizational learning and resource dependence theories, the aim of this research is to know how green supply chain external integration (GSCEI) and green supply chain internal integration (GSCII) influence ambidextrous green innovation (AGI). It also examines the mediating roles of green absorptive capacity (GAC) and green knowledge integration capability (GKIC), as well as the moderating role of green technology dynamism (GTD).

To assess the hypothesized model, data were obtained with 386 questionnaires from managers employed in manufacturing firms in Pakistan applying a cross-sectional approach. A partial least square structural equation modeling technique was implemented to evaluate the data.

The results revealed that GSCEI and GSCII substantially impact AGI. Moreover, GAC and GKIC serve as mediators between GSCEI and AGI. GAC and GKIC also intervene in the relationship between GSCII and AGI. GTD was significant as a moderator for the correlation between GSCEI and AGI. However, it does not moderate the relationship between GSCII and AGI.

This research offers significant comprehension and an innovative approach for manufacturing organizations to curb environmental corrosion by stimulating AGI through green SC integration. It suggests to practitioners that integrating internal knowledge with external partners expands communication and collaboration to ensure that resources connected with environmental preservation flow smoothly.

This research is a valuable addition to the field, as it explores for the first time the missing link among the studied constructs. It opened the black box of how knowledge-related capabilities facilitate knowledge resources to elicit AGI, an area that has not yet been explored.

This paper aims to present the development of an automated inspection system (AIS) using an image-based analysis mechanism, called i-AIS. The development process of i-AIS used the Design Six Sigma (DSS) methodology. The steps of define, measure, analyze, design and verify (DMADV) are applied and integrated with specific analyses techniques of the quality function deployment (QFD), design failure mode effect analysis (DFMEA) and theory of inventive problem solving (TRIZ). The production process of adhesive tape is the focused case study in this research project, motivated by the high product defect rate complained by customers.

The development process of i-AIS was divided into five standard steps based on the DSS methodologies of DMADV. One of the key processes in this development was to systematically identify the right and intended features of i-AIS. This was carried out based on the application of the QFD technique. Another important process was to further investigate the possible causes of i-AIS failure, to function as intended. This investigative process was carried out based on the DFMEA technique, while the solution to minimize the risk of the identified failures was obtained from the TRIZ method. The final prototype of i-AIS was then presented in the design step.

Verification of the i-AIS prototype revealed its operation at an optimally intended mode that fulfilled the requirements of internal customers. Verification results also revealed that the sigma level has improved from 3.87 to 4.33. Meanwhile, the defect reduction rate is improved to 74.4% and downtime rate also recorded a significant improvement at 80.7% of reduction.

The presented research work is carried out based on a customized case study. Although the proposed methodology can be applied to others cases towards design-based solution, some modifications maybe required based on to the unique features of the case study under consideration.

The presented research project indicated that the proposed methodology was successful to facilitate a structured and systematic process towards defect identification, classification, evaluation and generation of a solution.

The paper presents the development process of an AIS by considering comprehensive managerial aspects that are currently absent in the literature. An integrated DSS structure is proposed to systematically guide the development of i-AIS. The related managerial aspects such as identification of critical defects problem, customer requirement mapping, prototype design analysis and comparison measurements before and after i-AIS installation are considered in this research project.

While the significance of green entrepreneurial orientation (GEO) has been acknowledged, it is still not fully understood how GEO influences green innovation (GI). Depending on the natural resource-based view (NRBV), the practice-based view (PBV) and contingency theory (CT), the authors explore how GEO affects GI via green manufacturing practices (GMPs) and the moderating role of green technology turbulence (GTT).

Using the data gathered from large firms in Yemen, the suggested model was tested through hierarchical regression analysis using the PROCESS Macro in SPSS.

The empirical results reveal that GEO is positively related to GMP, which in turn is positively related to GI. Importantly, GMP mediates the link between GEO and GI. The results also demonstrate that GTT positively moderates the GEO-GI link.

This study makes a valuable contribution to the existing literature on sustainability and holds significant importance for managers seeking to enhance their understanding of utilizing GEO for fostering GI.

This study investigates how performance pressure affects feedback-seeking and innovative work behaviors. The study also examines the effect of extraversion on the performance pressure–FSB relationship.

The hypotheses in this study were tested by analyzing two-wave data collected from a sample of employees in the information technology sector in India using the PLS-SEM approach.

Our findings revealed that individuals possessing extraverted personality traits exhibited a positive response to performance pressure, thereby enhancing their FSB. Moreover, our results demonstrated that FSB mediates the relationship between performance pressure and IWB.

The results underscore the importance of individual variations in personality traits, particularly extraversion, in influencing how employees respond to performance pressure. By providing insights into the mediating mechanism of feedback-seeking behavior, our study contributes to a deeper understanding of the interplay between performance pressure, feedback-seeking behavior and innovative work behavior.

Managers should consider extraversion as a factor in the relationship between performance pressure and FSB, adapting strategies and support systems accordingly. Creating a feedback-oriented culture and providing resources for extroverts during high-pressure periods can enhance their coping mechanisms.

Previous research has provided a limited exploration of the mechanisms that establish the connection between job demands and innovative work behaviors. This study contributes by uncovering the previously unexplored relationship between performance pressure, extraversion, feedback-seeking behavior and, subsequently, innovative work behavior.