Search Results (1,316)

Sustainable business management in the food sector entails the systematic integration of social, environmental, and economic considerations into organizational decision-making, which has direct implications for food safety assurance systems. This study sought to evaluate how the maturity of an organization’s safety culture influences employees’ pro-quality and food-safety-related behaviors. A complementary objective was to examine employees’ understanding of pro-quality awareness in the context of the principles, goals, and operational procedures associated with sustainable management. The research was carried out in three food industry enterprises located in the Greater Poland region. The methodological framework consisted of internal audits assessing compliance with food safety and quality management standards, combined with a structured questionnaire survey. A total of 169 employees from various operational and administrative departments participated. The results indicate that employees’ professional qualifications and organizational roles significantly affect their awareness of how individual actions contribute to food safety and product quality outcomes. Moreover, the implementation of a sustainable, systems-oriented management approach supported a more comprehensive understanding of food production processes where employees recognize their impacts on public health, the socio-economic environment, natural ecosystems, and future generations. At the same time, this approach underscores the interdependence between employee well-being, organizational performance, and consumer protection. Full article

Olive oil is a high-value product that is highly exposed to fraud, making robust traceability systems essential to protect authenticity, consumer trust, and competitiveness. This study examines how digital traceability technologies influence fraud mitigation and the sustainable performance of olive oil mills in southern Brazil. A systematic literature review, conducted according to the PRISMA 2020 protocol in Scopus and Web of Science, identified state-of-the-art supply chain and authentication technologies, including blockchain, IoT, RFID, QR codes, cloud computing, Big Data, artificial intelligence, and physicochemical methods. Two structured questionnaires were then applied to managers from nine mills in the main Brazilian olive oil cluster, and the data were analyzed using descriptive statistics, Chi-Square tests, and correlation measures within a framework grounded in Resource-Based View and Institutional Isomorphism theories. The results show that adoption of digital traceability is still incipient, while internal factors such as organizational commitment and marketing strategies play a more decisive role than external pressures in explaining adoption. Although managers do not yet perceive a direct impact on fraud mitigation, adoption is positively associated with economic, environmental, and social sustainability outcomes. Given the exploratory design and the small, non-probabilistic sample (n = 9), the findings should be interpreted as indicative rather than definitive. The proposed framework is intended as a transferable analytical lens that can be adapted and further validated in other agri-food and industrial contexts using larger samples and objective fraud-related indicators. Full article

Firms pursuing organizational resilience face competing demands: sustaining growth while reducing performance volatility. This study examines how strategic orientations shape trade-offs between these resilience dimensions and how digital technology breadth and depth moderate these strategy–resilience relationships. Drawing on dynamic capability theory, this study analyzes panel data from Chinese high-tech manufacturing firms to investigate how profit-oriented and growth-oriented strategies affect two dimensions of organizational resilience—growth resilience (continuous growth) and volatility resilience (performance stability). Results reveal two distinct mechanisms: a consolidating mechanism whereby profit-oriented strategy reduces performance volatility while constraining growth resilience, and a capitalizing mechanism whereby growth-oriented strategy strengthens growth resilience while increasing performance volatility. Digital technology breadth moderates both strategies but introduces complexity costs that weaken anticipated volatility reduction benefits. Digital technology depth shows limited moderating capacity, amplifying profit-oriented strategy’s growth constraints without significantly reducing performance volatility. This study contributes to organizational resilience literature by demonstrating that organizational resilience dimensions involve systematic trade-offs rather than complementary gains, and extends dynamic capability theory by identifying strategic orientation as a driver that shapes how firms configure and deploy dynamic capabilities toward different organizational resilience outcomes. For managers, these findings suggest aligning strategic orientation with organizational priorities for stability versus growth, recognizing that enhancing one resilience dimension may constrain another, and ensuring digital technology investments match strategic priorities, as broad adoption introduces complexity costs that may offset anticipated benefits. Full article

This study aims to identify and map the factors that can influence sustainable organizational performance. This study aims to identify the factors that directly and indirectly influence sustainable organizational performance. This study also categorizes its findings based on research themes, theories employed, and the organizational sectors under examination, thereby providing a comprehensive, up-to-date, and structured overview as a foundation for theoretical development and strategic guidance for organizations seeking to enhance their sustainable performance. This study employs the systematic literature review (SLR) method following the PRISMA guidelines. The Scopus database was used to search for articles. The study analyzed 44 selected articles based on predetermined criteria. The results suggest that sustainable organizational performance can be influenced by several key factors, including knowledge, innovation, leadership, organizational learning, human resource management, organizational culture, technology, and market orientation. This study also reveals the theories used in research related to sustainable organizational performance. The Resource-Based View emerged as the most dominant theory, followed by Dynamic Capabilities, Social Exchange, and Knowledge-Based View. Several mediating and moderating variables were identified as playing a significant role in strengthening or weakening the relationship between factors, although some findings yielded inconsistent results. These findings underscore the need for further research to clarify the role of these factors in supporting sustainable organizational performance. Full article

This study presents a hybrid analytical framework that enhances project selection by achieving reasonable predictive accuracy through the integration of expert judgment and modern artificial intelligence (AI) techniques. Using an enterprise-level dataset of 10,000 completed software projects with verified real-world statistical characteristics, we develop a three-step architecture for intelligent decision support. First, we introduce an extended Analytic Hierarchy Process (AHP) that incorporates organizational learning patterns to compute expert-validated criteria weights with a consistent level of reliability ($CR=0.04$), and Linear Programming is used for portfolio optimization. Second, we propose a machine learning architecture that integrates expert knowledge derived from AHP into models such as Transformers, TabNet, and Neural Oblivious Decision Ensembles through mechanisms including attention modulation, split criterion weighting, and differentiable tree regularization. Third, the hybrid AHP-Stacking classifier generates a meta-ensemble that adaptively balances expert-derived information with data-driven patterns. The analysis shows that the model achieves 97.5% accuracy, a 96.9% F1-score, and a 0.989 AUC-ROC, representing a 25% improvement compared to baseline methods. The framework also indicates a projected 68.2% improvement in portfolio value (estimated incremental value of USD 83.5 M) based on post factum financial results from the enterprise’s ventures.This study is evaluated retrospectively using data from a single enterprise, and while the results demonstrate strong robustness, generalizability to other organizational contexts requires further validation. This research contributes a structured approach to hybrid intelligent systems and demonstrates that combining expert knowledge with machine learning can provide reliable, transparent, and high-performing decision-support capabilities for project portfolio management. Full article

This paper discusses digital capability and its potential translation into sustainable organizational performance through the integration of sustainable management accounting and high-quality managerial decision-making. Even though previous studies acknowledge the importance of digital technologies and sustainability practices, the current literature mostly analyzes them separately, and no empirical models explain how digital capability can be translated into sustainability outcomes through internal decision-making and accounting processes. To fill this gap, this paper constructs and proves a Digital-Enabled Sustainability Management Accounting (DSMA) framework based on Dynamic Capabilities Theory, the Knowledge-Based View, and the Technology–Organization–Environment framework. Based on Survey data from 667 respondents in the financial services industry and Partial Least Squares Structural Equation Modeling (PLS-SEM), the results indicate that digital capability can significantly contribute to sustainability performance by increasing accounting integration and decision quality. Although technological readiness enhances such relations, it does so with only a low degree of influence, meaning it has a supportive rather than a transformative effect. The research is valuable because it contributes to sustainability theory, provides a solid empirical database that is understudied, and has practical implications for organizations striving to implement digitally enabled sustainability initiatives. Full article

This study examines how dynamic capabilities contribute to sustainable competitive advantage in small and medium-sized enterprises (SMEs), with a particular emphasis on long-term organizational sustainability in dynamic and uncertain environments. Drawing on Dynamic Capabilities Theory, the research investigates innovation as a mediating mechanism and organizational learning capability (OLC) as a moderating factor that strengthens the relationship between dynamic capabilities, innovation, and sustainable competitive advantage. Using data collected from 250 SME managers and decision-makers in Saudi Arabia, the proposed model was empirically tested through a quantitative approach employing Structural Equation Modeling (SEM). The findings reveal that innovation significantly mediates the relationship between dynamic capabilities and sustainable competitive advantage. Moreover, SMEs with higher organizational learning capability demonstrate stronger innovation outcomes, enhancing their ability to adapt, renew resources, and maintain competitiveness over time. By highlighting the role of internal capabilities in fostering innovation, adaptability, and learning, this study contributes to the sustainability literature by demonstrating how SMEs can achieve economically sustainable performance and long-term resilience. The study advances dynamic capabilities theory by empirically demonstrating how innovation operates as a key transmission mechanism and how organizational learning capability conditions this process in SME contexts. The results also provide practical insights for SME leaders and policymakers seeking to promote sustainable business development in emerging economies. Full article

The aim of this article is to identify and systematize the principal research directions in sustainable strategic management (SSM) at the intersection of eco-innovation and business performance. Despite the growing prominence of sustainability in management scholarship, systematic understanding of how SSM, eco-innovation, and business performance are connected in the academic literature remains limited. In particular, it is unclear whether this intersection constitutes a coherent research domain or instead reflects a set of loosely related and fragmented lines of inquiry. To address this gap, the study combines bibliometric analysis and science mapping of 181 Scopus-indexed publications (2006–2024) with a PRISMA-guided scoping review of five core papers that explicitly link SSM, eco-innovation, and business performance. VOSviewer was used to identify thematic clusters and structural gaps, including missing or weak linkages between eco-innovation and different dimensions of business performance. Building on these findings, the article proposes a dual-path conceptual model: (1) a mediated path in which eco-innovation functions as a transmission mechanism between SSM and multidimensional business performance, and (2) a direct path linking SSM to business performance without mediation. The model further distinguishes between internal organizational conditions, which predominantly support the direct path, and external business environment factors, which are critical in enabling the mediated path through eco-innovation. The main contributions are as follows: (a) a structured mapping of the SSM–eco-innovation research field and its emerging thematic architecture; and (b) a conceptual model specifying the dual role of eco-innovation in shaping business performance outcomes. The study also outlines implications for theory, managerial practice, and public policy, particularly in terms of how organizations and their environments influence the effectiveness of different strategic sustainability pathways. The proposed framework should be interpreted as an evidence-informed conceptual model derived from bibliometric patterns and focused qualitative synthesis, rather than as a statistically validated causal model. Full article

In an era increasingly defined by the imperative for sustainable development, the construction sector faces significant challenges, including resource limitations, environmental pressures, and high uncertainty. Within this context, the organizational capabilities of construction projects are widely recognized as a critical endogenous driver, closely linked to sustainable performance outcomes. Yet, empirical research to date has produced inconsistent conclusions, and a systematic understanding of how distinct dimensions of capability influence sustainability remains surprisingly fragmented. To address this gap, we employ a meta-analysis to synthesize 11,881 independent samples from 64 quantitative empirical studies. We systematically examined the overall relationship between organizational capability in construction projects and sustainable performance. It further compares the differential effects of project capabilities and dynamic capabilities across economic, social, and environmental performance. Additionally, the study investigated the moderating effects of key contextual and methodological factors. Our analysis yielded several important findings: (1) A significant, moderately positive correlation exists between organizational capability in construction projects and sustainable performance. (2) Project capability exerts a stronger association with economic and social performance, whereas dynamic capability demonstrates a more pronounced effect on environmental performance. This underscored distinct pathways through which different capability dimensions operate. (3) Moderation analysis revealed that the relationship between organizational capability and sustainable performance is stronger in emerging economies and collectivist cultural contexts. Methodologically, structural equation modeling tended to produce larger effect sizes compared to regression analysis. Although no significant moderation effect emerges across research time points, post-2015 studies generally showed slightly stronger effects. The findings enrich the application of the Resource-Based View and Dynamic Capability Theory within construction project contexts, emphasizing the multidimensional nature of organizational capabilities and their differentiated roles across triple-bottom-line performance. Consequently, this research offers valuable pathways for capability development and a strategic foundation for enhancing managerial practice in construction project management. Full article

Background: In the era of rapid technological advancement, digital transformation has emerged as a pivotal strategy for enhancing operational efficiency and competitiveness in logistics enterprises, particularly amid globalization and post pandemic recovery; this study aims to evaluate its multifaceted impact on business performance using a multi-criteria framework focused on Vietnamese firms. Methods: Employing structural equation modeling on primary survey data from 346 middle and senior level managers, alongside the Malmquist productivity index derived from data envelopment analysis on secondary financial indicators spanning 2020 to 2024, the research integrates latent variables such as organizational capability, technological innovation capability, institutional pressure, digital transformation, and business performance. Results: Key findings reveal a strong positive correlation between technological innovation capability and organizational capability (path coefficient 0.522), with organizational capability directly influencing business performance (0.359), while institutional pressure positively affects digital transformation (0.321) but negatively impacts business performance (−0.152); overall, digital transformation exhibits limited optimization, contributing to modest productivity gains and a potential 23% cost reduction through technologies like Internet of Things and artificial intelligence. Conclusions: These results underscore the necessity for logistics enterprises to strengthen organizational integration and training to maximize digital transformation benefits, thereby fostering sustainable competitiveness in global supply chains. Full article

This study investigates the crucial role energy leaders play in driving strategic energy management (SEM) and accelerating cost savings within a manufacturing organization and consequently, the industrial sector. Whereas energy efficiency can be seen as an innovative business practice with irrefutable cost benefits, its effective implementation requires strategic leadership and a structured approach. This research analyzes data collected from 120 participants representing 71 companies attending the Energy Bootcamp events organized by the U.S. Department of Energy’s (DOE) Better Plants program. The collected data focused on the state of SEM implementation, the presence and responsibilities of energy leaders, and the formation and function of energy teams. The findings reveal a significant gap between the perceived importance of SEM and its actual adoption, highlighting the need for strong leadership to drive behavioral changes by championing energy efficiency initiatives. Results indicate that effective energy leaders possess a diverse skill set, including the ability to secure top management buy-in, foster a culture of energy consciousness, and collaborate across departments. This study emphasizes the importance of empowering energy leaders with clearly defined roles and responsibilities as well as the authority to build and lead cross-functional energy teams. Furthermore, integrating energy management into existing organizational structures and leveraging readily available resources are identified as key factors for successful implementation. This research underscores how dedicated leadership and effective SEM practices help achieve industrial energy efficiency goals, providing practical insights for organizations seeking to improve performance and contribute to a resilient future. Full article

Construction industry in Afghanistan is crucial for economic and social advancement, particularly after years of instability. However, the construction industry has been already confronting huge time overruns, affecting all stakeholders. This research aims to identify the various risks associated with time overruns in construction projects within Afghanistan and to explore effective risk management strategies to mitigate these challenges. To address time overruns, this study employed Monte Carlo simulations using RiskPert to assess time overruns by combining expert judgment with historical data. This study assesses construction project historical data from 2002 to 2023, emphasizing the political and economic circumstances of that period using a literature review and an examination of 74 construction project reports, in addition to semi-structured interviews with industry experts to determine schedule-related risks and their frequent causes. This research found 29 distinct risk indicators classified into eight categories, facilitating a methodical integration of risks into the simulation model. The Monte Carlo Simulations conducted with @RISK software (version 8.0, Palisade Corporation, New York, NY, USA) assessed the influence of these risks on project performance over 10,000 iterations, demonstrating a robust association with actual project results and a standard deviation of ±15% in durations. Time overruns in projects are linked to socio-political, organizational, and financial risks. The findings emphasize the significance of these factors on project outcomes and recommend strategies for their mitigation to improve decision-making and ensure project management success. Full article

In the era of digital transformation, organizations increasingly invest in Artificial Intelligence (AI) to enhance competitiveness, yet persistent evidence shows that AI investment does not automatically translate into superior firm performance. Drawing on the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), this study aims to explain this paradox by examining how AI-enabled dynamic capability (AIDC) is converted into performance outcomes through organizational mechanisms. Specifically, the study investigates the mediating roles of organizational data-driven culture (DDC) and organizational learning (OL). Data were collected from 254 senior managers and executives in U.S. firms actively employing AI technologies and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that AIDC exerts a significant direct effect on firm performance as well as indirect effects through both DDC and OL. Serial mediation analysis reveals that AIDC enhances performance by first fostering a data-driven mindset and subsequently institutionalizing learning processes that translate AI-generated insights into actionable organizational routines. Moreover, DDC plays a contingent moderating role in the AIDC–performance relationship, revealing a nonlinear effect whereby excessive reliance on data weakens the marginal performance benefits of AIDC. Taken together, these findings demonstrate the dual role of data-driven culture: while DDC functions as an enabling mediator that facilitates AI value creation, beyond a threshold it constrains dynamic reconfiguration by limiting managerial discretion and strategic flexibility. This insight exposes the “dark side” of data-driven culture and extends the RBV and DCT by introducing a boundary condition to the performance effects of AI-enabled capabilities. From a managerial perspective, the study highlights the importance of balancing analytical discipline with adaptive learning to sustain digital efficiency and strategic agility. Full article

This study investigates critical research gaps in procurement management challenges faced by Chinese contractors in international engineering–procurement–construction (EPC) projects under the Belt and Road Initiative (BRI), with a particular focus on sustainability-oriented outcomes. It examines the following: (1) prevalent procurement inefficiencies, such as communication delays and material shortages, encountered in international EPC projects; (2) the role of supply chain INTEGRATION in enhancing procurement performance; (3) the application of social network analysis (SNA) to reveal inter-organizational relationships in procurement systems; and (4) the influence of stakeholder collaboration on achieving efficient and sustainable procurement processes. The findings demonstrate that effective supply chain integration significantly improves procurement efficiency, reduces delays, and lowers costs, thereby contributing to more sustainable project delivery. Strong collaboration and transparent communication among key stakeholders—including contractors, suppliers, subcontractors, and designers—are shown to be essential for mitigating procurement risks and supporting resilient supply chain operations. SNA results highlight the critical roles of central stakeholders and their relational structures in optimizing resource allocation and enhancing risk management capabilities. Evidence from case studies further indicates that Chinese contractors increasingly adopt sustainability-oriented practices, such as just-in-time inventory management, strategic supplier relationship management, and digital procurement platforms, to reduce inefficiencies and environmental impacts. Overall, this study underscores that supply chain INTEGRATION, combined with robust stakeholder collaboration, is a key enabler of sustainable procurement and long-term competitiveness for Chinese contractors in the global EPC market. The purpose of this study is to identify critical procurement management challenges and propose evidence-based solutions for Chinese contractors. It further aims to develop a sustainability-oriented framework integrating supply chain integration and stakeholder collaboration to enhance competitiveness. Full article

The growing pressure on industrial organizations to align digital transformation with sustainability objectives has intensified the need to systematically understand the role of emerging digital technologies in sustainable industrial development. The accelerated digitalization of industrial ecosystems has positioned the Internet of Things (IoT) as a critical enabler of corporate sustainability within Industry 4.0. However, evidence on how IoT contributes to environmental, social, and economic performance remains fragmented. This study conducts a systematic literature review following PRISMA 2020 guidelines to consolidate the scientific advances linking IoT with sustainable corporate management. The search covered 2009–2025 and included publications indexed in Scopus, EBSCO Essential, and MDPI, identifying 65 empirical and conceptual studies that met the inclusion criteria. Bibliometric analyses—such as keyword co-occurrence mapping and temporal heatmaps—were performed using VOSviewer v. 2023 to detect dominant research clusters and emerging thematic trajectories. Results reveal four domains in which IoT significantly influences sustainability: (1) resource-efficient operations enabled by real-time sensing and predictive analytics; (2) energy optimization and green digital transformation initiatives; (3) circular-economy practices supported by data-driven decision-making; and (4) the integration of IoT with Green Human Resource Management to strengthen environmentally responsible organizational cultures. Despite these advances, gaps persist related to Latin American contexts, theoretical integration, and longitudinal assessment. This study proposes a conceptual model illustrating how IoT-enabled technologies enhance corporate sustainability and offers strategic insights for aligning Industry 4.0 transformations with the Sustainable Development Goals (SDGs), particularly SDGs 7, 9, and 12. Full article