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This research aims to explore perceptions of subjective well-being (SWB) in public relations (PR) practitioners, focusing on dimensions of job satisfaction, networking, relationships and work–life balance, while addressing the under-researched area of gender and age – related to stages of life – disparities in SWB within the PR industry.

Employing a mixed-methods sequential explanatory design, this study utilised a survey, followed by semi-structured interviews to investigate SWB among PR professionals in Portugal, considering gender and stages of life differences.

Using a gendered and stages of life lens, this study found nuanced perceptions of SWB among Portuguese PR professionals. Older women showed higher emotional well-being but lower work evaluations than men, while young professionals exhibited less gender disparities in SWB. Men reported greater job satisfaction, emphasising passion, while women faced challenges like work overload and valued recognition. Gender differences were seen in networking, with men favouring teamwork and women valuing friendships for career advancement. Work–life balance issues, especially among older women, related to mental health.

This study contributes to filling the research gap regarding SWB in the PR industry, particularly in Portugal, offering insights into gender and stages of life dynamics that influence SWB perceptions, thereby informing strategies for enhancing well-being and productivity in PR workplaces.

Improvement science (IS) has become a popular approach to organizing school–university partnerships because of IS’s potential to increase schools' capacity for sustainable improvement. However, little research has directly examined whether and how specific elements of IS support school improvement, particularly during and post-COVID-19 when improvement was particularly challenging.

We draw on a longitudinal case study of a school-university partnership supporting a group of schools using IS to guide school improvement with data collected in Fall 2019–Spring 2022 including interviews and meeting observations. We compare how educators engaged with three IS elements: plan-do-study-act (PDSA) continuous improvement (CI) cycles, networked learning and driver diagrams. We qualitatively examine participants' perspectives of these elements through the lens of contingency theory, analyzing which elements were more or less successful at empowering schools to continue their improvement efforts throughout the pandemic.

IS processes are varied in their resilience to complexity. Schools mostly abandoned some elements during tumultuous periods (PDSA cycles) while others were successfully adapted to sustain improvement work (driver diagrams). Findings also discuss the perceived impact of university partners in school improvement work, primarily as coaches.

These findings are uniquely positioned to examine whether and how IS elements enabled sustained school improvement amidst the complexities generated by COVID-19. By focusing on strengths and limitations of three common elements, we offer valuable guidance to school–university partnerships about the conditions under which these elements might support sustained school improvement and how these elements might need to be adapted.

Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.

This paper aims to present insights on the governance of sustainability transitions in higher education in Africa. The authors interrogate the research literatures on the governance of socio-technical transitions in water, electricity, transport and waste management, and identify barriers and enabling factors that enhance transformative practices in universities.

The analytical framework proposed in this paper combines the elements of governance network theory (GNT) and transition topology. The framework of this study is grounded in an actor-centric approach using GNT to understand networks conducive to sustainability transitions. Events and governance networks were mapped on a transition topology to visualise organisational and institutional changes over time. The study engaged students, management, academic and administrative staff in building a community of practice towards sustainability. This research is based on qualitative content analysis grounded in interview data, focus group discussions, workshops, webinars and secondary data analysis.

The findings show that the university has consolidated a sustainability vision and targets, but several factors prevent the community from achieving these targets, including hierarchical decision-making processes, a multitude of disjointed committees and fragmentation in the campus community.

This research adds to an emerging body of literature in the field of sustainability in higher education with two contributions. Firstly, the study presents a novel perspective(s) on the governance of sustainability transitions by combining the literatures on governance and sustainability transitions using a new methodological approach of transition topology to show organisational and institutional changes. Secondly, the study presents new empirical evidence for improving the governance of sustainability transitions in a diverse and highly unequal African university community in the process of (de)colonisation of knowledge and governance.

The purpose of this study is to identify important strategies and practices supporting inter-organizational learning (IOL) in integrated care. The two research questions ask how organizational network architectures can help involved organizations overcome the barriers of IOL in integrated care (RQ1) and what design recommendations can strengthen the processes of IOL in integrated care (RQ2).

This study applies a qualitative design to analyze an improvement initiative in a regional, integrated care service for elderly patients with multiple illnesses in Norway. An inductive thematic analysis for the triangulating of qualitative data from different sources was applied. Patterns within the data were organized into themes, categories and subcategories. No software was applied.

The identified characteristics of the organizational network architectures supporting IOL in integrated care in the case under study were: equality of the involved parties, shared goals, recognition of expertise and the abilities to coordinate, design IOL processes and make joint decisions (RQ1). The categories of practices supporting the process of IOL were: insight into complex realities, contradictions, iteration, motivation and prototypes (RQ2).

This study offers much-needed insight into a successful approach for IOL in integrated care. The results offer strategies to be considered when building organizational networks for the improvement of integrated care and relevant practices useful when designing IOL processes in such care services. We believe such knowledge has important implications for policymakers, frontline personnel, education, research and leaders.

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal.

The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making.

This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption.

This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector.

This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.

This work conducts a comprehensive analysis of how to incorporate resilience and sustainability into capacity expansion strategies for business-to-business (B2B) chemical supply chains. This study aims to guide both researchers and managers on ensuring profitability in B2B chemical supply chains while minimizing environmental impacts, complying with regulations and mitigating disruptions and risks.

A systematic literature review is conducted to analyze the interplay between sustainability and resilience in chemical B2B supply chains, specify the quantitative and qualitative methods used to tackle this challenge and identify the drivers and barriers concerning capacity expansion. In addition, a comprehensive conceptual framework is suggested to outline a compelling research agenda.

The findings emphasize the increasing importance of modeling and resolving decision-making challenges related to sustainable and resilient supply chains, particularly in capital-intensive chemical industries. Yet, there is no standardized strategy for addressing these challenges. The predominant solution methods are heuristic and metaheuristic, and the selection of performance metrics tends to be empirical and tailored to specific cases. The main barriers to achieving sustainability and resilience arise from resource limitations within the supply chain. Conversely, the key drivers of performance focus on enhancing efficiency, competitiveness, cost effectiveness and risk management.

This work offers practitioners a conceptual framework that synthesizes the knowledge and tackles the challenges of designing sustainable and resilient supply chains as well as managing their operations in the context of B2B chemical supply chains. Results provide a practical guide for navigating the complex interplay of sustainability, resilience and chemical supply chain expansion.

The key concepts and dimensions associated with capacity expansion planning for a resilient and sustainable chemical supply chain are identified through structured and comprehensive analyses of existing literature. A conceptual framework is proposed for delineating the intersections among sustainability, resilience and chemical supply chain expansions. This mapping endeavor aims to facilitate a future characterized by the deployment of a nexus of resilience and sustainability in chemical supply chains. To this end, a promising future research agenda is accordingly outlined.

The purpose of this study synthesises the body of research revolving around blockchain technology (BCT) whilst drawing on the technology-organization-environment framework, resource-based theory and theory of constraints, to conceptualize capabilities (enablers) and constraints (barriers) of BCT in the hospitality and tourism (H&T) industry.

A systematic literature review of BCT in the hotel and tourism industry has been achieved through two databases, i.e. Scopus and Web of Science. From 544 articles selected between the years 2008 and 2023 (first quarter), a sample of 49 articles was used to structure existing research on this subject.

The findings of this systematic literature review of BCT in the H&T literature establish a solid groundwork for assessing the evolution of this research area over time. Findings are classified into two groups: capabilities (enablers) and constraints (barriers) of BCT based on publication year, different research methods, theoretical underpinnings and applicable contexts.

To the best of the authors’ knowledge, this is one of the first attempts to synthesize studies related to BCT in H&T research by combining three theoretical approaches. It serves as a foundation to evaluate the development of BCT studies in this field.

Autonomous underwater vehicle (AUV) is widely used in resource prospection and underwater detection due to its excellent performance. This study considers input saturation, nonlinear model uncertainties and external ocean current disturbances. The containment errors can be limited to a small neighborhood of zero in finite time by employing control strategy. The control strategy can keep errors within a certain range between the trajectory followed by AUVs and their intended targets. This can mitigate the issues of collisions and disruptions in communication which may arise from AUVs being in close proximity or excessively distant from each other.

The tracking errors are constrained. Based on the directed communication topology, a cooperative formation control algorithm for multi-AUV systems with constrained errors is designed. By using the saturation function, state observers are designed to estimate the AUV’s velocity in six degrees of freedom. A new virtual control algorithm is designed through combining backstepping technique and the tan-type barrier Lyapunov function. Neural networks are used to estimate and compensate for the nonlinear model uncertainties and external ocean current disturbances. A neural network adaptive law is designed.

The containment errors can be limited to a small neighborhood of zero in finite time so that follower AUVs can arrive at the convex hull consisting of leader AUVs within finite time. The validity of the results is indicated by simulations.

The state observers are designed to approximate the speed of the AUV and improve the accuracy of the control method. The anti-saturation function and neural network adaptive law are designed to deal with input saturation and general disturbances, respectively. It can ensure the safety and reliability of the multiple AUV systems.

Organizations are increasingly joining inter-organizational networks to foster sustainable employability for their employees. The purpose of this study is to identify the factors and mechanisms central to their success as experienced by key stakeholders.

An explorative, qualitative approach was adopted, using four focus groups with network coordinators (N = 18) and HR professionals (N = 14). Fourteen Dutch inter-organizational networks were represented. Respondents were recruited through purposive and snowballing sampling techniques. Thematic analysis was applied using open coding to generate themes.

The results of this study outline environmental, structural, and inter-personal factors and mechanisms that contribute to the success of inter-organizational networks that aim to foster sustainable employability for their employees. The environmental factors and mechanisms consist of challenges stemming from the labor market. The structural factors and mechanisms include: a network’s flat structure, flat fee, lack of informal rules, the allocation of roles and expectations for stakeholders and shared network activities. Lastly, the inter-personal factors and mechanisms are: communication among stakeholders, establishing reciprocity, interaction and collaboration between stakeholders, the valuation of trust, a convivial culture and shared vision among stakeholders. The dynamics between these factors and mechanisms are compared to other forms of inter-organizational networks. Furthermore, several recommendations for network coordinators and practitioners regarding the development of networks are presented.

This study provides insights into the factors and mechanisms that are regarded by stakeholders as influencing the success of inter-organizational networks in their ability to foster sustainable employability for workers. We have identified a unique model that captures this new way of inter-organizational collaboration and builds on insights from literature on collaborative governance regimes, institutional fields and entrepreneurial ecosystems. Specifically, the model provides a framework that consists of environmental, structural and interpersonal factors and mechanisms for network success. This study increases our understanding of how collaborative efforts can be fostered beyond organizational boundaries and existing Human Resource Management practices.