Search results

Organisations are confronted with the challenge of navigating various pressures arising from activities that shape environmental and social impacts, which stakeholders find significant. This research endeavours to ascertain a process facilitating the analysis and seamless integration of sustainability into corporate strategy. The goal is to establish an “integrated” ESG governance framework adept at effectively managing institutional pressures.

This research employs an action research approach, focusing on a leading company within the sugar industry. The investigation delves into the relationship dynamics associated with business issues through a process that engages, either directly or indirectly, board members, top managers, as well as industrial and commercial customers, along with final consumers.

The formulation of a sustainability strategy serves as a guiding framework for the Board of Directors in effectively navigating tensions arising from environmental, social and economic pressures.

The research contributes to bridging the realms of business governance and institutional theory (viewed under a paradoxical lens). On a managerial level, the study introduces a structured process aimed at seamlessly integrating sustainability objectives into governance, aligning with international ESG guidelines (OECD, 2023; WEF, 2020).

The originality of this research lies in crafting a sustainability strategy by the BoD that takes into account the impact of governance and responds to the demands of strategic stakeholders.

This study aims to evaluate the impact of sustainable strategic planning and management (SSPM) on sustainable performance (ecological, social and economic) among micro, small and medium enterprises (MSME) in the culinary sector in Southeast Asia (SEA).

This study used a quantitative approach surveying 300 halal-certified MSMS culinary businesses in the SEA region. Data were gathered using an online survey platform and analyzed using the partial least squares structural equation modeling technique.

Green management (GRM), digital transformation management (DTM) and Halal Business Management (HBM) exert a significant influence on SSPM. Furthermore, SSPM positively influences the sampled halal culinary MSMEs’ ecological, social and economic performances in SEA. The study also reveals that GRM, DTM and HBM positively influence Islamic ethics compliance and good governance.

This study sheds light on the often-ignored MSME business in the halal culinary sector in SEA. Examining sustainable and strategic planning synergy strengthens the development of a comprehensive framework for SSPM and could encourage more MSMEs to practice sustainable business operations. Moreover, the research also underlines the urgent need to harmonize halal standards in the SEA region. The approach would intensify multilateral support for economic growth and halal trade between SEA countries and beyond.

This study addresses the research gap in the strategic and sustainable management of halal culinary MSMEs within the developing and vast SEA economic region. This research is among the few, if not the first, that combines the GRM, DTM and HBM influence on SSPM and examines the impact on sustainable, ethical and good governance performances. The insights derived from this study contribute to formulating robust, sustainable policies, fostering avenues for sustainable initiatives and enhancing regional and global cooperation for a sustainable future.

This paper aims at developing a multi-objective mathematical model of circular economy that integrates key concept of leasing as a strategy in addition to reuse, refurbishing, primary recycling, secondary recycling and disposal.

This paper proposes multi-objective fuzzy mixed integer linear programming mathematical model considering multi-product, multi-echelon and multi-capacitated concepts of the circular economy. The three objectives of the proposed model, namely, economic, environmental and social are solved simultaneously using constraint approach to obtain balanced trade-off between the objective functions. The model is validated by solving a case study from the literature. The proposed model is made pragmatic for industrial application by considering multi-external suppliers multi-customer zones, multi-disassembly centers, multi-collection centers and multi-refurbishing centers and accounting for purchasing, processing, transportation, set-up costs and capacity constraints at the same time.

The results show that the leasing of the products improves the economic function in addition to the known environmental improvements. The proposed model also shows that the circular economy can generate the jobs for the unskilled people at different locations.

The proposed model can be further improved by considering the non-linearity due to economy of scale at various centers and in transportation. The model can be further extended to make it multi-period model.

The proposed model of circular economy can be used by the organizations as a policy tool to decide the optimum number of collection centers, disassembly centers, refurbishing centers, recycling centers and disposal centers and their optimum locations and allocations. The organizations can also trade-off among economic, environmental and social benefits of their proposed decisions in circular economy.

The originality of the proposed mathematical model is consideration of leasing as a strategy to have better control over the supply chain for circularity; considering the training of unskilled people for backward supply chain jobs and accounting for primary recycling and secondary recycling separately for economical computation.

This research paper aims to provide a comprehensive overview of the determinants influencing organisations decisions to adopt crowdsourcing. By synthesising existing literature, it seeks to identify critical factors that act as enablers or inhibitors in the adoption process and propose a framework for understanding crowdsourcing adoption within organisational contexts.

This study employed a systematic literature review methodology to examine the determinants influencing organisations' decisions to adopt crowdsourcing. The review encompassed research articles from the Web of Science and Scopus databases, spanning 2006 to 2021. Additionally, morphological analysis was conducted to categorise the identified determinants into three distinct contexts: technological, organisational and environmental. This methodological approach facilitated a comprehensive exploration of the factors shaping crowdsourcing adoption within organisational settings, allowing for a nuanced understanding of the phenomenon across different dimensions.

The study identifies 12 determinants influencing crowdsourcing adoption, categorised into technological, organisational and environmental dimensions. These determinants include technological compatibility, organisational readiness, top management support, crowd readiness and availability of third-party platforms. While some determinants primarily act as enablers, others exhibit dual roles or serve as inhibitors depending on contextual factors.

The findings offer valuable insights for scholars, practitioners, and organisational leaders seeking to leverage crowdsourcing as a strategic tool for innovation and competitiveness. The assessment scale of drivers and barriers developed in this research offers a systematic approach for evaluating the factors influencing crowdsourcing adoption, providing a nuanced understanding of innovation adoption dynamics. Theoretical implications include advancements in morphological analysis methodology and a nuanced understanding of innovation adoption dynamics. Managerial implications highlight strategies for enhancing organisational readiness, leveraging leadership support and mitigating adoption risks. Overall, the study provides a foundation for future empirical research and practical guidance for organisations planning to adopt crowdsourcing initiatives.

This research contributes significantly to crowdsourcing by presenting an integrated and theoretically grounded framework. By consolidating adoption determinants from diverse contexts, this study clarifies the understanding of crowdsourcing adoption. The framework offers practical value to managers and decision-makers, equipping them with a structured approach to assess and navigate the challenges associated with effectively adopting crowdsourcing. As such, this study contributes to advancing crowdsourcing practices and supports more informed managerial decision-making in innovation and knowledge sourcing.

This study investigates the interaction between organizational strategic factors (Leadership and management support [LMS] and green learning orientation [GLO]) and green innovation performance (GIP), through the lens of resource-based view (RBV) theory. It examines both the direct and indirect impacts of these factors on GIP via green knowledge management (GKM), and explores how green absorptive capacity (GAC) enhances these relationships.

Using Partial least squares structural equation modeling (PLS-SEM) and moderated mediation analysis, we analyzed responses from 419 individuals across 154 manufacturing firms in Pakistan to understand these dynamics.

Results show that LMS and GLO significantly affect GIP, both directly and indirectly, through GKM. Furthermore, GAC intensifies the impact of GLO on GKM and the influence of GKM on GIP, indicating a moderated mediation effect.

Highlighting the importance of LMS, GLO, GKM, and GAC, the study suggests that focusing on these areas can help firms align their strategies with sustainability goals, enhancing their GIP. These insights can guide policymakers in creating supportive strategies for businesses to improve their GAC, facilitating better knowledge adoption and application.

The research contributes to the RBV theory by clarifying the role of strategic organizational factors in enhancing GIP within manufacturing firms, offering a clearer path to achieving sustainability goals.

The objective of this investigation is to examine the correlation between green transformational leadership (GTL) and organizational green innovation (GI) by employing a mediation model. Drawing upon the social cognitive theory and natural resource-based view, the present study explores the role of green creativity (GC) as a mediating variable in the relationship between GTL and GI in the hotel industry.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave 2-week time-lagged design (N = 303). In addition, the study also intends to apply the Partial Least Squares – Structural Equation Modelling (PLS-SEM) and the fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GC of employees. The results show numerous combinations using fsQCA that can be utilized to increase green performance (GP).

The study helps the hotel industry maximize its performance by unravelling irregular relationships. Therefore, it contributes by explaining previously unexplored factors and elucidating causal recipes to build a higher GP base through GTL, GC and GI. The research findings hold significant implications for comprehending the effects of GTL on organizational GI as well as its influence on GP. The limitations of the study are discussed for avenues of future research.

This study aims to investigate the evolution of terminology in supply chain management (SCM) and its implications for the field’s strategic orientation. It also aims to understand how SCM terms adapt to interdisciplinary contexts, reflecting shifts in theoretical and practical approaches within the discipline.

This study uses a systematic literature review and analyzes over 3,500 unique SCM-related terms extracted from approximately 33,000 abstracts. By using Descending Hierarchical Classification and factor analysis, the research methodologically identifies key shifts in terminology and discerns underlying patterns.

This study categorizes terminological variations in SCM into three main clusters: product–agent, performance objective orientation and structure. These variations signal not only linguistic changes but also strategic shifts in SCM understanding and practice. Notably, terms such as “green,” “sustainable” and “circular” supply chains have emerged in response to evolving internal and external pressures and trends. In addition, this paper offers a nuanced understanding of these terminological adaptations, proposing a reference framework for navigating SCM’s evolving lexicon and highlighting global usage and geographical and cultural nuances in SCM discourse.

This paper presents a reference framework that complements existing SCM definitions, fostering a shared understanding of SCM variations on a global scale. This framework enhances cultural sensitivity within the field and underscores SCM’s adaptability and flexibility. These insights offer a nuanced view of SCM dynamics, benefiting researchers and practitioners alike. Beyond terminology, this study sheds light on the interplay between language and SCM strategy, providing a valuable perspective for navigating the evolving SCM landscape. The study’s scope is constrained by the analyzed abstracts. Future research could broaden this analysis to encompass more SCM literature or delve deeper into the implications of terminological changes.

This study offers practitioners a reference framework for navigating the evolving lexicon of SCM. This framework aids in understanding the strategic implications of terminological changes, enhancing clarity and context in both academic and practical applications.

By acknowledging global usage and variations, the research underscores the impact of geographical and cultural nuances on SCM discourse. This global perspective enriches the understanding of SCM as a dynamic and culturally sensitive field.

This research is novel in its extensive and systematic exploration of SCM terminology. This study offers a comprehensive analysis of how language evolves in tandem with strategic shifts in the field, providing a unique perspective on the interplay between terminology and strategy in SCM.

Disruptions are appearing more frequently and having an ever greater impact on supply chains (SC), affecting the vulnerability and sustainability of organisations. Our study proposes an innovative approach to address contemporary challenges by introducing coopetition as a strategic capability. The aim of this study is to enable companies to adapt and thrive by applying a tool that measures and monitors different logistical scenarios to improve performance and antifragility.

With the aim of jointly planning transport activities of two competing companies, we present a linear programming model that promotes synergies which enhance resource utilisation. To demonstrate the validity of the model, a case study is conducted to measure, monitor and evaluate the results obtained after collaborating on SC activities.

Current tools to support logistics planning are not effective because they hamper information exchange, cost allocation and performance measurements. Our innovative model optimises collaborative networks (CNs) and monitors economic, environmental and social improvements. The case study shows the reduction of logistics costs (13%), carbon footprint (37%) and the improvement of social antifragility when agility and flexibility emerge.

CNs have become an effective means of enhancing resilience, but there are no empirical contributions to demonstrate how to achieve this. We provide a real case with computational experiments that provide empirical evidence of the effectiveness of the model, which measures, optimises and evaluates SC performance in coopetitive environments. This approach is a guide to researchers and practitioners when creating simulations to reduce risks and facilitate decision-making.

This study investigates the impact of CEO narcissism on eco-innovation. Moreover, we explore the moderating influence of CEO ancestor origins and CEO tenure on this relationship.

Based on a comprehensive dataset comprising 198 non-financial U.S. firms spanning the years 2010–2021, we apply OLS regression.

Our research findings are as follows: (1) CEO narcissism negatively affects eco-innovation. (2) CEO ancestor origins play a moderating role, with this effect being attenuated for CEOs with ancestral origins from highly sustainable backgrounds. (3) CEO tenure strengthens the relationship between CEO narcissism and eco-innovation. This study sheds light on the significance of CEO personality traits in influencing eco-innovation decision-making. The results offer valuable insights for stakeholders, boards of directors and investors.

To the best of our knowledge, none of the studies on sustainable tools have examined the moderating effect of CEO demographics characteristics on the CEO personality traits –eco-innovation nexus, and this offers a great opportunity to make new contributions to the extant literature.

This paper aims to explore how lean manufacturing practices (LMPs) predict sustainable performance (SP) in the context of manufacturing small and medium-sized enterprises (SMEs) in less developed countries, like Yemen. In particular, it investigates the mediating effect of corporate social responsibility (CSR) under different levels of competitive intensity (CI).

Hierarchical regression analysis was used to analyze data gathered from a survey of 259 Yemeni manufacturing SMEs.

The findings confirm that LMPs affect CSR, which in turn affects SP. This study also confirms that LMPs have a positive indirect effect on SP through CSR, which diminished in the presence of CI.

This study provides useful insights for policymakers and firms’ managers, who are anticipated to show a higher commitment to CSR in their firms when adopting LMPs to enhance their firms’ SP, especially under a low level of CI.

This paper contributes to expanding knowledge on the effect of LMPs on SP through CSR constrained by the level of CI.