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This article aims to comprehensively review the measurement and management of supply chain performance (SCP) and strategic performance (SP). It strives to identify integrable features regarding frameworks, measurement approaches, practices and emerging research issues in these areas to integrate SCP and SP for measuring and managing performance. It intends to develop a dynamic-integrated-performance-system by incorporating integrable aspects of SCP and SP to link these domains for organizational performance improvement.

Using systematic-literature-review, this study analyzes 154 articles published in selected peer-reviewed international journals from 2000 to 2023 regarding SCP and SP. It assesses existing knowledge regarding research-design followed, challenging areas and imperatives in these critical business domains to investigate the prior conceptual, empirical, case study-based and literature-review-based articles.

The study identifies integrable features regarding key theoretical and measurement frameworks, critical objectives, significant measures, effective practices for measuring and managing SCP and SP and emerging research issues common to these areas. The findings help develop a dynamic-integrated-performance-system that uses the theoretical lenses of resource-based-view/dynamic-capability-theory and adopts a comprehensive framework like DBSC (system-dynamic-model with BSC perspectives). It incorporates identified integrable measures and best practices to monitor, measure, manage and improve organizational performance for sustainable competitive advantage. The article reveals that earlier studies have overlooked analyzing SCP and SP integration aspects.

From the theoretical viewpoint, the present SLR is unique in three ways: first, in investigating both the measurement and management of SCP and SP holistically; second, in identifying integrative features of these two; and third, in proposing a DIPS to link SCP and SP for performance improvement. The study reveals that existing literature has focused on measuring and managing SCP and SP in isolation without attempting a comprehensive and unified approach to integrate the respective domains. The present SLR adopts a holistic approach to link SCP and SP from SCM and strategic-management perspectives. The study proposes a dynamic-integrated-performance-system to measure, manage and improve performance in a unified method.

This study provides SC and strategy practitioners with an understanding of strategy-performance pathways for achieving strategic objectives and executing risk mitigation initiatives to counter disruptions. It enables SC managers to comprehend SC practices and SCP leading to dynamic SC capabilities development. Operationalizing the proposed DIPS will help firms link SCP and SP, align operational SC practices with strategic sustainability and circularity objectives and meet sustainable development goals while benefiting social and environmental stakeholders.

Assessing relationships and identifying a unified approach integrating SCP with SP have not been addressed earlier. This study's uniqueness is finding integrable features of SCP and SP and constructing a dynamic-integrated-performance-system to link these domains for achieving strategic competitiveness.

This study investigates the implications and significance of immersive technologies (viz. metaverse, virtual reality, and extended reality) in organizational learning and development.

Employing a strategy map (using Biblioshiny) and network analysis (using VOSViewer), the study analyzed a total of 189 Scopus-indexed documents, spanning the period 1997 to 2023.

The findings revealed four thematic clusters, knowledge management, training, e-learning, and technology. Each cluster provided insights into the various facets of development and learning in respect to these technologies. The strategy map identified key themes, revealing core ideas, emerging trends, and foundational concepts within the domain.

Organizations can utilize this study to incorporate metaverse, virtual reality, and extended reality in organizational development, optimizing training and boosting employee experience and productivity.

While most literature delves into the technical side of immersive technologies, our study uncovers their impact on development and learning in organizations, addressing a critical research gap and offering a guiding framework.

This study aims to examine the positive impact of strategies on the viability of small and medium-sized enterprises (SMEs) in times of crisis. Specifically, it investigates the influence of resource utilization as an initial survival strategy on innovation practices and SMEs’ performance. It further assesses the potential impact of government aid and partnerships on the relationship between resource utilization and innovation.

This study used a mixed-method approach that integrates phenomenology and quantitative research. This phenomenological study conducted in-depth interviews with 23 SME owners. Based on qualitative findings, a quantitative research design was developed, and this study surveyed 352 SMEs. Structural equation modeling was used for hypothesis testing.

Resource utilization as an initial survival strategy has a positive effect on increasing organizational innovation practices and ultimately affects business performance. Furthermore, government support and external partnerships significantly enhance the relationship between resource utilization and innovation.

The COVID-19 pandemic brought a crisis for businesses but has provided many positive transformations. SME entrepreneurs should sustain their survival strategies and seize external support to enhance their potential. Due to the pandemic, various efforts have created innovations, honed business resiliency and increased competitiveness.

SMEs struggled with the crisis and responded by utilizing many retrenchment strategies. This study is among the first to provide empirical evidence of an emergency response that has resulted in fruitful impacts. The findings can be generalized to represent the behavior of SMEs, especially in emerging countries.

Since the introduction of balanced scorecard by Kaplan and Norton in 1992, it garnered considerable research and practice attention across disciplines. Using bibliometric analysis, this study examines trends in balanced scorecard research in last 20 years and identifies future areas of research.

The Web of Science database was used to extract research papers from the 2003 to 2023 period with “Balanced Scorecard” as topic. The final sample consisted of 445 articles. Trends and patterns were analyzed using bibliometric analysis through research profiling and thematic analysis.

The findings reveal that BSC, spanning across disciplines, including business and operations, has enriched the theory and practice of BSC research. Analytical and survey methods were more prevalent than primary studies. Scholars from the USA and the UK have made noteworthy contributions to balanced scorecard research. Emerging themes include integrating human resources, sustainability, subjectivity in performance evaluation and non-financial performance indicators in BSC for better strategic decision-making.

The study would inspire researchers to generate new research questions and hypotheses and help in identifying gaps in the current knowledge base and areas where further investigation is needed. Managers would gain useful insights into performance management by studying the BSC research evolution to find a fit for modern-day industry needs.

The authors’ contribution fills the void by providing useful account of extent research over last 20 years using bibliometric analysis and motivate future research directions.

The purpose of this study is to explore the antecedents of uncaptured sustainable value and strategies to generate opportunities to capture it in the circular supply chain of post-consumer used clothing.

This study is based on an inductive analysis of 21 semi-structured interviews conducted with various stakeholders in the circular clothing supply chain (for-profit and not-for-profit) using the value mapping approach, as previously applied in the literature on sustainable business models.

Fifteen antecedents of uncaptured sustainable value, and thirteen value opportunity strategies were revealed that hinder or generate multi-dimensional value types. Economic value is impacted the most, while there is lack of explicit understanding of the impact of these antecedents and strategies on environmental and social value capture. From a multi-stakeholder perspective, the ecosystem is emerging as new for-profit actors are developing novel process technologies, while not-for-profit actors are consolidating their positions by offering new service options. There is also an emerging “coopetition” between the different stakeholders.

More granularity in the different types of uncaptured value could be considered, and external supply chain stakeholders, such as the government, could be included, leading to more detailed value mapping.

This research provides practitioners with a value-mapping tool in circular clothing supply chains, thus providing a structured approach to explore, analyse and understand uncaptured value and value opportunities.

This extended value perspective draws upon the value-mapping approach from the sustainable business model literature and applies it in the context of the circular clothing supply chain. In doing so, this research illustrates circular clothing supply chains in a new way that facilitates an improved understanding of multi-dimensional and multi-stakeholder value for embedded actors.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

Gazelle companies are characterized by rapid growth in a short time. Identifying the determinants of this exponential expansion is important as these firms have a significant impact on the economy. They generate increased employment and investment by investors interested in new opportunities. Previous studies have failed to reach a consensus about what fosters high growth in gazelle companies as each firm’s geographical, political and economic context is different. The present research uses cognitive mapping and interpretive structural modeling (ISM) to overcome the limitations of prior investigations and identify factors that can potentially accelerate growth in gazelle companies.

Two sessions were held with an expert panel with knowledge about and experience with these firms. In the first session, data were collected to create a group cognitive map, while the second meeting comprised ISM-based analyses of the high-growth determinants identified and the causal relationships between them. A final consolidation session was held to discuss the results with two members of the Committee for Central Region Coordination and Development (i.e. Comissão de Coordenação e Desenvolvimento Regional do Centro – a public entity that grants gazelle awards in Portugal).

The analysis system created was tested, and the results demonstrate that the dual methodology used can increase our understanding of the dynamics of high-growth determinants and lead to more informed and potentially better evaluations of gazelle companies. Indeed, once high-growth determinants in gazelle companies are understood, this information can help other firms implement the same business model to achieve similarly rapid growth. The strengths and shortcomings of this new structured analysis model are also analyzed.

The authors know of no prior work reporting the integrated use of cognitive mapping and ISM in this study context.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

The study aims to provide a clear framework of steps on how to implement the balanced scorecard model at the level of measuring and managing local performance, with a mix between what theoretical approaches show in this matter and examples of applied experiences in different contexts.

The study relies on the case study approach, which was used to present pioneer experiences in the field of application of the model on local government's level, namely, in the USA, England and South Africa. This paper was done by reviewing the original balanced scorecard literature and writings regarding the public and local government sector. This literature formed the basis for analyzing the various sections of study.

Balanced scorecard is one of the important models for developing and measuring local performance. International experiences under study confirmed that application of the model requires the following: The availability of bureaucratic will at the local level to apply the model, necessity of capacity building of local government units to apply it, introduction of institutional and strategic changes to the local units to be able to build their own performance cards, as well as strengthening local information systems, and not standardizing the performance cards at the different local administrative units.

This study will be useful for scholars, policymakers and local executive leaders on ways to apply the balanced scorecards at the local government units.

The study explores different types of anti-luxurians on social media (SM), the characteristics of luxury brands, tendencies to disengage and the opposition to them to propose future directions for luxury marketing in the post-pandemic world.

A qualitative approach was employed, wherein 979 posts from SM platforms were analyzed with the text analytics software package KH Coder through word-frequency analysis and an inductive technique.

The analysis identified the presence of eight types of online anti-luxurians: true luxurians, nature-experienced lovers, life simplifiers, anti-haulers, highly expected consumers, natural environment protectors, antidiscrimination consumers and historic-politic antagonists. Their degree of disengagement and opposition were discussed and graphically mapped.

This is the first study to discover various types of anti-luxurians on SM platforms and graphically map their level of disengagement and opposition toward luxury brands. This study fills an existing critical gap in the luxury marketing literature.