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The purpose of this study is to explore the benefits and barriers for learning in industrial PhD education through the perspectives of industrial PhD students. A work-integrated learning (WIL) approach is applied to highlight key issues that university and industry need to consider promoting mutual learning.

The empirical context is a Swedish university profiling WIL offering PhD programs in three disciplines for industrial PhD students from both the private and public sectors. Data was gathered using qualitative methods; 19 semistructured interviews with industrial PhD students.

Findings show that industrial PhD students are developing practical and transferable skills, hence, contributing to research of interest for academia and work–life. Identified benefits for learning include proximity and access to data, project and networks and contextual understanding and tacit knowledge. Barriers for learning are the perceived limited understanding of employers, the dilemma of balancing and switching between different roles, lack of belonging and identity, deficient collaboration agreements and ethical dilemmas.

Contributes insights into an industrial PhD education transforming along with societal needs promoting a future workforce of researchers with skills, new work practices and learning capabilities applicable in the work–life of contemporary society.

This study contributes to the emerging field of studies of alternative doctoral educations by identifying benefits and barriers for learning and providing recommendations for how university and industry may promote learning in a resilient industrial PhD education collaboration.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

The purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity.

Structural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis.

The results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity.

This study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment.

This study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies.

Societies depend on interconnected infrastructures that are becoming more complex over the years. Multi-disciplinary knowledge and skills are essential to develop modern infrastructures, requiring close collaboration of various infrastructure owners. To effectively manage and improve inter-organizational collaboration (IOC) in infrastructure construction projects, collaboration status should be assessed continually. This study identifies the assessment criteria, forming the foundation of a tool for assessing the status of IOC in interconnected infrastructure projects.

A systematic literature study and in-depth semi-structured interviews with practitioners in interconnected infrastructure construction projects in the Netherlands are performed to identify the criteria for assessing the status of IOC in infrastructure construction projects, based on which an assessment tool is developed.

The identified assessment criteria through the literature and the practitioner’s perspectives results in the designing and development of a collaboration assessment tool. The assessment tool consists of 12 criteria and 36 sub-criteria from three different categories of collaborative capacity: individual, relational, and organizational.

The assessment tool enables practitioners to monitor the status of IOC between infrastructure owners and assists them in making informed decisions to enhance collaboration. The assessment tool provides the opportunity to assess and analyze the status of collaboration based on three categories (i.e., individual, relational, and organizational).

The objective of this study is to construct a theoretical framework concerning wage determination, grounded in principles and supplemented by conventional theories. It discusses the Islamic perspectives on minimum wage and examines contemporary challenges and intricacies in its application.

This study uses thematic analysis to create the conceptual framework, drawing upon a review of pertinent literature such as academic papers, books and articles published up to 2023.

The framework encompasses various categories, namely, employee characteristics, job characteristics, market factors, compensation practices and Islamic principles. Each category consists of multiple variables. The resulting framework offers a holistic and ethically grounded methodology for wage determination, aligning with both Islamic and conventional perspectives. This study notes the absence of a universally agreed-upon minimum wage. Islamic economics faces challenges due to the unclear application of principles, limited awareness, legal constraints and a lack of empirical evidence on wage systems, along with complexities in their implementation.

The paper’s limited scope focuses solely on the Islamic perspective on wage determination, without comparing it to the conventional viewpoint. This may have implications for future research.

The insights on Islamic principles and wage determination guide scholars and policymakers interested in promoting just and equitable wages.

This study is distinct in its integration of various factors to propose an all-encompassing framework for wage determination, rooted in the Quran and principles, while also reinforcing the framework with conventional theories. Additionally, it adds to the growing body of literature by investigating the Quran’s stance and principles on minimum wage, as well as discusses the challenges involved in implementing an Islamic approach to wage determination, which has received limited attention in Islamic literature.

Artificial intelligence (AI) has gained significant momentum in recent years. Among AI-infused systems, one prominent application is context-aware systems. Although the fusion of AI and context awareness has given birth to personalized and timely AI-powered context-aware systems, several challenges still remain. Given the “black box” nature of AI, the authors propose that human–AI collaboration is essential for AI-powered context-aware services to eliminate uncertainty and evolve. To this end, this study aims to advance a research agenda for facilitators and outcomes of human–AI collaboration in AI-powered context-aware services.

Synthesizing the extant literature on AI and context awareness, the authors advance a theoretical framework that not only differentiates among the three phases of AI-powered context-aware services (i.e. context acquisition, context interpretation and context application) but also outlines plausible research directions for each stage.

The authors delve into the role of human–AI collaboration and derive future research questions from two directions, namely, the effects of AI-powered context-aware services design on human–AI collaboration and the impact of human–AI collaboration.

This study contributes to the extant literature by identifying knowledge gaps in human–AI collaboration for AI-powered context-aware services and putting forth research directions accordingly. In turn, their proposed framework yields actionable guidance for AI-powered context-aware service designers and practitioners.

The study aims to examine “Advertisement content likeability” and its relationships with consumers' purchase and sharing intentions.

Second-order factor analysis was applied. Structural equation modeling (SEM) was used to measure the moderating effects of technology adoption model, knowledge sharing and Internet maven traits on advertising content's virality.

Results indicate the dimensional structure of ad content likeability that is relevant in predicting consumers' sharing and purchase intentions. Furthermore, the moderating effects of technology acceptance factors (perceived usefulness and ease-of-use), knowledge sharing motives (altruism, reputation and expected reciprocal benefits) and senders' Internet maven characteristics were also found on “Ad content likeability” and “sharing intentions.”

The study expands the theoretical horizon of factors that significantly increase an advertisement's velocity to become more viral.

The purpose of this study is to develop a model of a starting situation for relationship initiation in turbulent business networks.

The study is designed as an extreme single case study that takes its point of departure in a company’s bankruptcy in the Swedish automotive industry.

This study illustrates how a new business relationship can start from a resource combination previously controlled by one actor (i.e. a single company) in a turbulent business network, thereby bringing nuances to the common understanding that new relationships start in stable business networks where resource combinations are developed between actors in established business relationships.

Previous studies have stated that the development of a mutual orientation between actors leads to the formation of a business relationship. The business relationship then leads to resource adaptations between the two companies. The developed model, however, illustrates that this pattern can be reversed in situations of turbulence. Hence, previously adapted resources might lead to the formations of a business relationship. Based on this observation, the authors argue that there are reasons to question if previous models of business relationship initiation and development in business networks are adequately equipped for analysis in turbulent business networks.

Construction is one of Australia’s largest employers of young people and the industry is facing a major labor shortage, with young people expected to account for much of the shortfall. Surprisingly however, there been little research into the pathways for young people into construction employment. The aim of this paper is to address this gap in research by exploring whether project-based intermediaries can support the development of disadvantaged young people’s trust in the often-problematic systems which are meant to help transition them into employment in construction.

Employing an in-depth case study approach, this research mobilizes theories of personalized and generalized trust to report the results of interviews with 15 sectoral leaders; focus groups with 12 young people working in construction; and interviews with 11 young people being transitioned into construction employment through a unique project-based intermediary developed by a major Australian construction company as part of its social procurement requirements.

Findings show that project-based intermediaries can play an important trust-building role in transitioning disadvantaged young people into work in construction. They do this by bridging a young person’s strong social ties (family and friendship) and weak social ties (with government and construction industry organizations), both of which can be problematic when used in isolation to seek employment in construction. By performing a crucial bridging role between a young person’s individual self-interest in acting alone to find work and their collective interest in being part of a collaborative group, the project-based intermediary creates a new form of linking social capital, enabling social procurement policies which target young people to work while also addressing wider systemic problems in Australia’s employment systems.

This research addresses the lack of employment research into young people in construction and the paucity of theory in social procurement research more broadly. It takes an original approach in aligning theories related to a duality of personalized trust and generalized trust seen against the duality of individual intentionality and agency (self-focused) and shared intentionality and agency (group-focused). By doing so it provides new conceptual and practical insights into the important role that construction project-based intermediaries like the one studied here can play in providing innovative cross-sector and collaborative solutions to the world’s growing youth unemployment crisis.

This paper aims to examine the specific role that partnerships play in the relationship between adaptation strategy, international experience, and export performance of handicraft firms in an emerging country setting. The authors' purpose is to identify the key factors that may contribute to the success of export activities of small handicraft companies in international markets.

Drawing on a non-probability sampling technique, the authors collected survey data from 410 handicraft companies located in Morocco. The authors' conceptual model, which draws on the network theory, was tested using covariance-based Structural Equation Modeling by means of AMOS 24 Software.

The results indicate that adaptation marketing strategy and partnerships impact positively the export performance of handicraft firms. Partnerships also play an intermediary role by partially (fully) mediating the relationship between adaptation strategy (international experience) and export performance.

This study may assist marketers and entrepreneurs in handicraft companies to better understand the causal relationship between adaptation strategy, marketing experience and export performance of entrepreneurs' firms. Managers in these companies should be aware of the importance that partnerships play in boosting the export performance through marketing practices and experience.

The authors' paper contributes to the scant literature on the adaptation marketing strategy and export performance and the intermediary role of partnerships in the specific context of handicraft businesses operating in North African emerging markets, namely Morocco.