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With the recent proliferation of AI, organisations are transforming not only their organisational design but also the input and output operational processes of the hiring process. The purpose of this paper is to explore the organisational and operational dimensions resulting from the deployment of AI during talent acquisition process.

The authors conducted semi-structured interviews and meetings with human resources (HRs) professionals, recruiters and AI hiring platform providers in Sweden. Using an inductive data analysis rooted in the principles of grounded theory, the study uncovered four aggregate dimensions critical to understanding the role of AI in talent acquisition.

With insights from algorithmic management and ambidexterity theory, the study presents a comprehensive theoretical framework that highlights four aggregate dimensions describing AI’s transformative role in talent recruitment. The results provide a cautionary perspective, advising against an excessive emphasis on operational performance driven solely by algorithmic management.

The study is limited in scope and subject to several constraints. Firstly, the sample size and diversity are restricted, as the findings are based on a limited number of semi-structured interviews and meetings with HRs professionals, recruiters, and AI hiring platform providers. Secondly, the rapid evolution of AI technologies means that the study’s findings may quickly become outdated as new advancements and applications emerge.

The results provide managers with actionable information that can lead to more precise and strategic management practices, ultimately contributing to improved organizational performance and outcomes. Plus, enhancing their ability to make informed decisions, optimize processes and address challenges effectively.

The results signal both positive and negative impacts on employment opportunities. On the positive side, AI can streamline recruitment processes, making it easier for qualified candidates to be identified and hired quickly. However, AI systems can also perpetuate existing biases present in the data they are trained on, leading to unfair hiring practices where certain groups are systematically disadvantaged.

By examining the balance between transactional efficiency and relational engagement, the research addresses a crucial trade-off that organizations face when implementing AI in recruitment. The originality lies in its critique of the prevailing emphasis on e-recruiting.

Megaproject performance measurement (MPM) has received great attention in the project management community, but it primarily focused on the design of performance measures or frameworks. Yet, whether MPM utilization can improve megaproject performance and how project actors use MPM to improve megaproject performance is less well understood. This study aims to investigate whether and how the use of MPM can contribute to better megaproject performance.

Through the lens of the lever of control, this study conceptualizes MPM utilization as diagnostic use and interactive use. A holistic research model and related hypotheses integrating MPM use, project complexity and megaproject performance were established. The model was validated using a partial square-structural equation modeling method.

Based on 214-megaproject data collected through a questionnaire survey in China, the results show positive effects of diagnostic use and interactive use on megaproject performance. Both, however, have substitutional interaction effects. The moderating results suggest that the higher project complexity weakens the positive effects of MPM utilization on megaproject performance.

This study advances megaprojects performance measurement and management literature by validating the value of MPM utilization on performance. It also presents practical implications for project managers to improve performance by appropriate MPM utilization.

The conceptual foundations of performance measurement and management (PMM) are predominantly rooted in control systems research. However, the appropriateness of this paradigm for volatile and uncertain environments has been questioned. This paper explores whether grounding PMM in social systems theory and viewing uncertainty from an organisational behaviour perspective provides new insights into the PMM theory–practice gap.

A framework, rooted in social systems theory and practice theory, is created that describes how organisational behaviour shapes the social processes associated with organisational change. Semi-structured interviews of 35 people from 16 organisations coupled with thematic analysis are employed to identify the organisational behavioural characteristics that influence how PMM is executed in practice. PMM is then reconceptualised from the perspective of this social systems-based framework.

This investigation proposes (1) performance management is concerned with elements of PMM-related practices open to flexible interpretation by human agents that change the effectiveness of organisational practices, whereas performance measurement is concerned with elements of PMM-related practices not open to interpretation but deliberately reproduced to provide a consistent comparison with the past; (2) the purpose of PMM should be to achieve organisational effectiveness (OE) and (3) the mechanisms underlying performance management and performance measurement are social intervention and embeddedness, respectively.

This first social systems perspective of PMM advances the development of PMM's theoretical foundations by providing a behaviour-based interpretation of, and framework for, PMM-mediated organisational change. This competing approach has strong links to practice.

Food sector supply chains have significant negative environmental impacts, including the expansion of global food commodity production, which is driving tropical deforestation – a major climate and biodiversity problem. Innovative supply chain monitoring services promise to address such impacts. Legislation also designates “forest-risk commodities”, demanding supply chain due diligence of their provenance. But such data alone does not produce change. This study investigates how theory in performance measurement and management (PMM) can combine with sustainable supply chain management (SSCM) and decision theory (DT) via case study research that addresses paradoxes of simplicity and complexity.

Given existing relevant theory but the nascent nature of the topic, theory elaboration via abductive case study research is conducted. Data collection involves interviews and participatory design workshops with supply chain actors across two supply chains (coffee and soy), exploring the potential opportunities and challenges of new deforestation monitoring services for food supply chains.

Two archetypal food supply chain structures (short food supply chains with high transparency and direct links between farmer and consumer and complex food supply chains with highly disaggregated and opaque links) provide a dichotomy akin to the known/unknown, structured/unstructured contexts in DT, enabling novel theoretical elaboration of the performance alignment matrix model in PMM, resulting in implications for practice and a future research agenda.

The novel conceptual synthesis of PMM, SSCM and DT highlights the importance of context specificity in developing PMM tools for SSCM and the challenge of achieving the general solutions needed to ensure that PMM, paradoxically, is both flexible to client needs and capable of replicable application to deliver economies of scale. To advance understanding of these paradoxes to develop network-level PMM systems to address deforestation impacts of food supply chains and respond to legislation, a future research agenda is presented.

This study aims to explore the mediating role of strategy. First, we examine whether strategy mediates the relationship between competitive pressure and SPM. Second, we examine whether the strategy mediates the relationship between stakeholder pressure and SPM.

This study is designed as a quantitative study by utilizing partial least squares structural equation modeling (PLS-SEM) in order to test the hypotheses. A mediation model for the research framework was developed to investigate the mediating role of strategy.

Using a sample of 546 managers from higher education institutions (HEIs) in Indonesia, the results show that both competitive pressure and stakeholder pressure have a positive direct effect on SPM. Strategy fully mediates the relationship between competitive pressure and SPM and strategy also partially mediates the relationship between stakeholder pressure and SPM. The findings suggest that the management of the HEIs in Indonesia needs to accommodate the dynamic trends in the competitive environment and the stakeholder’s interests when they develop the strategy used. They need to build a reliable SPM to effectively execute the strategy.

This study has the following limitations: (1) the use of PLS-SEM may raise the issue of causality; (2) this study focuses only on the antecedents of the SPM, and therefore future studies should investigate the consequences of the SPM on other variables; (3) this study is context-specific for Indonesia and caution should be used when generalizing it to other countries; (5) this study employs the primary data that may raise the issue of perception bias, and therefore future studies should try to develop proxies of variables using secondary data.

This research provides a comprehensive understanding of the management of HEIs who wants to enhance their SPM. This suggests that management needs to verify the role of strategy. In the era of global competition in higher education, management needs to start from the dynamics of competitive intensity and stakeholder interest. Competition and cooperation need to be considered in their strategies if they want to survive in the higher education industry. Finally, management must be aware that they are now assessed using quantitative indicators, standardized processes, and algorithms, and therefore they need to have a more reliable SPM.

As the global competition increases in higher education, this research provides a model on how to improve the good university governance involving the strategy and the SPM. Higher education plays an extremely important role in society. This study provides a model that can be used by society to have better control of the HEIs by demanding improved good governance. This research provides empirical evidence of the importance of the strategy and the SPM. The society will get more benefits in terms of improved transparency, accountability, fairness, and responsibility of the HEIs.

This is the first study that explores the links between competitive pressure, stakeholder pressure, strategy and SPM in Indonesian HEIs. It provides empirical evidence in the HEIs research setting for the industry/organization (I/O) theory of competitive advantage which focuses on the external factors. It also supports the resource-based view (RBV) model of competitive advantage which focuses on internal factors.

Although most research considers organizational learning as an antecedent of innovation, the relationship is complex and could be reciprocal. Therefore, more research is needed on the profit gained from the learning and organization acquires from its innovation activities. Using the concept of fit, this paper aims to investigate whether organizational learning increases when an organization’s technical innovation level exceeds that of its competitors (positive misfit), theorizing the curvilinear effect of positive technical innovation misfit on organizational learning.

This paper uses regression analysis with survey data gathered from 202 European firms.

The findings support the argument that positive technical innovation misfit has an inverted-U shaped effect on organizational learning.

The findings obtained should orient firm managers to developing a work environment that enables optimal levels of technical innovation and learning – levels at which the technical innovation developed drives learning among the organization’s members but avoids becoming trapped in the organizational complexity involved in very high levels of positive technical innovation misfit.

This study resolves conflicting views of the relationship between organizational learning and technical innovation and adds to the existing literature that indicates that proactive innovative firms can fail when becoming learners.

The purpose of this paper is twofold: (1) to map and analyze existing complexity typologies and (2) to develop a framework for characterizing complexity-based approaches.

This study was conducted in three stages: (1) initial identification of typologies related to complexity following a structured procedure based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol; (2) backward and forward review to identify additional relevant typologies and (3) content analysis of the selected typologies, categorization and framework development.

Based on 17 selected typologies, a comprehensive overview of complexity studies is provided. Each typology is described considering key concepts, contributions and convergences and differences between them. The epistemological, theoretical and methodological diversity of complexity studies was explored, allowing the identification of the main schools of thought and authors. A framework for characterizing complexity-based approaches was proposed including the following perspectives: ontology of complexity, epistemology of complexity, purpose and object of interest, methodology and methods and theoretical pillars.

This study examines the main typologies of complexity from an integrated and multidisciplinary perspective and, based on that, proposes a novel framework to understanding and characterizing complexity-based approaches.

The purpose of this study is to propose a new mapping tool called Circular Value Stream Mapping (C-VSM) that combines Circular Economy principles with Lean tools to enhance sustainability performance in operations.

To develop the C-VSM tool, the researchers conducted a literature review and a focus group. The tool was then applied to two real case studies in the agri-food sector, specifically analyzing an artichoke and olive oil producer, to assess its validity and effectiveness.

The study introduces the Circular Resource Box (CRB) as a key innovation in the C-VSM tool. This visual representation effectively captures resource circularity and how resources and wastes are managed, making it easy to identify circularity in the production process. By combining qualitative and quantitative information with this visual representation, companies can identify improvement opportunities aligned with the CE.

The research is limited in scope as it focuses on the application of the C-VSM tool in the agri-food sector. Further research could explore its applicability in other industries and settings to understand its broader impact.

The C-VSM tool provides practical benefits to companies seeking to transition from linear to circular production processes. It enables practitioners to identify opportunities to reduce environmental impacts and optimize production operations in line with CE.

The introduction of the C-VSM tool is a novel approach that bridges the gap between Lean Manufacturing and CE concepts, advancing the understanding of how CE thinking can be effectively implemented in operations.

In the highly competitive business landscape, manufacturing firms need to adopt an effective manufacturing strategy to attain a successful world-class manufacturing status. Over the past few decades, the lean manufacturing (LM) approach has gained recognition as one of the foremost strategies for enhancing performance. However, the implementation of LM poses significant challenges due to several barriers. The purpose of this paper is to investigate the primary barriers to lean implementation within the apparel industry.

This paper used an exploratory study approach, using a three-part structured questionnaire to assess the level of agreement on different lean barriers. The measurement of these barriers was conducted using a five-point Likert scale. Empirical data were collected from 177 apparel companies located in Bangladesh.

The findings of the research highlight that the primary obstacles to implementing LI include a lack of understanding of the lean manufacturing system (LMS), the manufacturing process, the company culture and resistance from employees.

This paper could potentially limit the generalizability of this research, as it exclusively examines a single manufacturing sector – the apparel industry.

This paper will help practitioners in finding solutions to resolve discrepancies between current manufacturing practices and the LMS.

This paper fulfills an identified need to examine the extent of lean adoption within the apparel industry of Bangladesh.

This study aims to present a framework for evaluating Green Lean (GL) maturity within organizations, focusing on the pharmaceutical sector in the Gulf region. It explores how combining Green and Lean practices can address sustainability challenges and enhance overall company performance.

A literature review was conducted to analyze the strengths and limitations of existing approaches for evaluating GL. The best-worst method (BWM) was employed as a framework for multi-criteria decision-making. The proposed tool was implemented in a pharmaceutical manufacturing company to validate its effectiveness.

The assessment model provides practical guidelines and operational conditions for organizations seeking to adopt GL practices. The study’s outcomes enable pharmaceutical companies to initiate GL strategies, contributing to sustainability and overall performance improvements.

This study has both theoretical and practical implications. It has found out the most important lean and green tools to assess and enhance enterprise performance. Therefore, this finding will strengthen the knowledge of successful implementation of GL and will further enrich the existing literature in the context of pharmaceutical industries. Moreover, this finding will also help the decision-makers in preparing an effective plan for successful implementation of GL.

This research introduces an innovative framework tailored to the pharmaceutical sector in the Gulf region. It bridges the gap between theoretical approaches and practical applications, offering a structured methodology to support sustainable initiatives in Lean practices.