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The purpose of this paper is to investigate which resources and capabilities are most important to enable large manufacturers undergoing servitization to develop and deliver successful services.

A survey of 155 UK-based manufacturers provided the basis for the study. Data analysis was undertaken using confirmatory factor analysis and multiple regression.

In total, five constructs (“resource configurations”) which enable the development and delivery of successful services and a construct to measure services performance (“Success of Services”) were developed from the literature. A measurement model based on these constructs was empirically tested and verified. Two resource configurations; “Leaders and Services Personnel” and “Services Methods and Tools” were found to make a unique and statistically significant contribution to “Success of Services.”

The study highlights the importance of corporates leaders and service employees in developing and delivering success. Service-specific methods and tools are important for developing compelling customer offerings. The study demonstrates the utility of a resource-based perspective in terms of understanding the factors that enable successful services, but also exposes the limitations of using such broad measures, with common lower order resources underpinning multiple resource configurations. The study was conducted from the manufacturer’s perspective, and future studies could also include the customer’s perspective.

The research identifies important factors in developing a greater service orientation in manufacturing companies.

This is one of the first studies to develop and test a model of services success, generalizable to the population of large manufacturers.

Along their journey to achieve exponential growth, startups must process a vast amount of information and make quick decisions, reevaluate and adjust strategies and simultaneously redesign their organization along with the venture lifecycle. This paper delineates the evolution of startups' organizational design and identifies the influencing factors in every phase of the lifecycle.

This study adopts an explorative qualitative approach using a multiple case study methodology for six Indonesian startups. Indonesia is chosen as an emerging country in Southeast Asia with tremendous growth in digital startup businesses.

The research findings suggest that, as they experience exponential growth, startups strive to manage the tension between being structured and being flexible and hence remain innovative by combining management-centric and employee-centric approaches. In particular, this study identified three main factors that potentially influence the evolution of startups' organizational design: founders, investors and the characteristics of business and market.

The present study focuses mainly on Indonesian digital startups and does not fully explain how the influencing factors work in each phase of the venture journey.

This study offers practical contributions for startups pursuing business growth by focusing on the importance of balancing the tension between structured and flexible organizational design and placing more attention on founders, investors and business-market characteristics.

This empirical study is among the first to delineate nuances of organizational design evolution during the startup lifecycle by adopting an explorative qualitative method.

Progress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science. Interdisciplinary research is one way of accelerating the development of appropriate theory for this emerging domain where industrial practice has moved beyond the state of the art of scientific knowledge for establishing workable, competitive solutions. The purpose of this paper is to examine to what extent interdisciplinary research has contributed to a better understanding of collaborative (manufacturing) networks.

To find out more about provenances of on‐going studies, to identify clusters of contributions and to provide direction for future work of researchers in this domain, publications of the past 22 years have been evaluated. To retrieve these contributions, a structured literature review has been undertaken by applying keywords to selected databases and using a strictly defined stepwise procedure. In total, 202 publications of all kinds have been evaluated.

From the analysis of the results, it appears that most interdisciplinary contributions to collaborative (manufacturing) networks rely on one original outside discipline for either developing solutions or advancing theoretical insight. Consequently, and after further analysis, it seems that researchers in collaborative networks hardly resort to multi‐disciplinary approaches, unless “natural”; further advances might arrive from stimulating these multi‐disciplinary avenues rather than sticking to more mono‐disciplinary, and less risky, takes on both applications and theoretical insight. A more detailed investigation of the value of contributions reveals that efforts to make interdisciplinary advances are either difficult or limited. Also, the findings indicate that researchers tend to follow a more “technical” approach to decision making by actors in networks rather than searching for a shift in paradigm.

While setting out these directions for future research and guiding research, this first‐of‐its‐kind review introduces the collaboration model as a systematic approach to collaborative (manufacturing) networks. This model might serve as a reference model to integrate disciplines for addressing the characteristics of Collaborative Networks. Its use in the review led to the finding that typical traits of networks, such as changeability, supplementary assets and decentralisation of decision making, are under‐researched.

The purpose of this paper is to describe how to measure workplace configuration, show its application in, and the results of, a field experiment aimed at improving collaborative knowledge work and identify and discuss larger problems involved with research on workplace configuration.

The paper reviews recent thought on density, proximity and problems with evaluating configuration. It then describes a method of spatial network analysis used in a field experiment involving the reconfiguration of a workplace. This is followed with a discussion of recent research on knowledge work from economic geography.

It was found that, instead of increasing it, the reconfigured workplace decreased collaborative activity. The spatial network analysis shows how this occurred.

This method of spatial network analysis, when used carefully, is a robust technique for analyzing and comparing spatial configuration. Further research needs to address the links between spatial proximity and information and communications technologies as well as the relation of types of knowledge bases and associated forms of proximity that can stimulate collaboration.

While spatial network analysis methods are not do‐it‐yourself tools, corporate real estate managers should employ them, especially in larger‐scale projects, before committing to final workplace designs. They can also use them to identify and map best spatial patterns (like best practices) to identify strategic spatial patterns.

This appears to be the first rigorous application of spatial network methods in a field experiment involving a real workplace. The paper shows the method can clearly extract and discriminate spatial network patterns underlying configurations and relate them both quantitatively and graphically to employee evaluations of collaborative performance. It introduces concepts of comparative knowledge bases that need to be understood in determining the types of collaboration needed in a workplace.

While tourism scholars have increasingly recognized the significance of collaboration as an essential element in tourism development, there is a lack of theoretical and empirical research centering on (trans)local collaboration as a central means for future tourism development in Greenland. The purpose of this paper is to analyze the conceptual and analytic potentials and challenges of collaboration in an explorative case study.

The paper applies a case study approach to scrutinize collaboration in the setting of a tourism workshop in South Greenland. This research approach is exploratory in nature and focuses on collaborative activities among participants from different research institutions and countries, from Campus Kujalleq in Qaqortoq, from small-scale enterprises and businesses, managers of destination marketing organizations and local fishermen.

Four “collaborative configurations” emerged during the workshop. These inspire and challenge ways of (re)conceptualizing collaborative tourism development in South Greenland and call for the reconsideration of the present approach toward tourism development for shaping new possible future(s) of tourism in the Greenlandic context.

The relevance of this paper emerges from the crucial significance that tourism actors in Greenland credit collaboration. Moreover, by approaching development issues from within and mutually developing possible practice solutions through collaboration with local tourism actors, the paper aims to give voice to the local community, which currently is lacking in the debate on tourism development in Greenland.

With the increase in the adoption of artificial intelligence (AI)-based decision-making, organizations are facilitating human–AI collaboration. This collaboration can occur in a variety of configurations with the division of labor, with differences in the nature of interdependence being parallel or sequential, along with or without the presence of specialization. This study intends to explore the extent to which humans express comfort with different models human–AI collaboration.

Situational response surveys were adopted to identify configurations where humans experience the greatest trust, role clarity and preferred feedback style. Regression analysis was used to analyze the results.

Some configurations contribute to greater trust and role clarity with AI as a colleague. There is no configuration in which AI as a colleague produces lower trust than humans. At the same time, the human distrust in AI may be less about human vs AI and more about the division of labor in which human–AI work.

The study explores the extent to which humans express comfort with different models of an algorithm as partners. It focuses on work design and the division of labor between humans and AI. The finding of the study emphasizes the role of work design in human–AI collaboration. There is human–AI work design that should be avoided as they reduce trust. Organizations need to be cautious in considering the impact of design on building trust and gaining acceptance with technology.

The paper's originality lies in focusing on the design of collaboration rather than on performance of the team.

The purpose of this paper is to propose a new model to show how continuous joint learning of participant organisations improves project performance. Performance heterogeneity between collaborative infrastructure projects is typically examined by considering procurement systems and their governance mechanisms at static points in time. The literature neglects to consider the impact of dynamic learning capability, which is thought to reconfigure governance mechanisms over time in response to evolving market conditions.

There are two stages of conceptual development. In the first stage, the management literature is analysed to explain the standard model of dynamic learning capability that emphasises three learning phases for organisations. This standard model is extended to derive a novel circular model of dynamic learning capability that shows a new feedback loop between performance and learning. In the second stage, the construction management literature is consulted, adding project lifecycle, stakeholder diversity and three organisational levels to the analysis to arrive at the collaborative model of dynamic learning capability.

The collaborative model should enable construction organisations to successfully adapt and perform under changing market conditions. The complexity of learning cycles result in capabilities that are imperfectly imitable between organisations, explaining performance heterogeneity on projects.

The collaborative model provides a theoretically substantiated description of project performance, driven by the evolution of procurement systems and governance mechanisms. The model’s empirical value will be tested in future research.

This study investigates the role of collaborative spaces as organizational support for internal innovation through cross-functional teams and for open innovation with external stakeholders. In particular, the study focuses on collaborative spaces as tools for multiplex (i.e., simultaneous internal and external boundary management in innovation projects).

The authors conducted a qualitative study in a multi-divisional organization that set up in its headquarters a collaborative space for collaborative product development. Data were collected through semi-structured interviews and participant observations.

Findings highlight that the relation between expectations and experiences about the collaborative space impact on employees' ability to perform boundary work inside and outside the organization. In addition to the collaborative space's affording role for expectations about hands-on collaborative innovation (space as laboratory), the study also highlights a set of collaboration constraints. These latter are generated by perceived boundary configurations (i.e. degree of boundary permeability and infrastructure in internal and external collaborations) and by discrepancies between expectations (space as laboratory) and actual collaboration experiences in the space (i.e. space as maze, cloister, showcase and silo). We show that space-generated constraints slow down internal and external boundary work for innovation and generate a trade-off between them.

Using the process-based perspective of boundary work, the paper connects studies on cross-functional teaming and open innovation through the concept of “multiplex boundary work.” It also contributes to the literature on boundary work by showing the challenges of using collaborative spaces as organizational support tools for multiplex boundary spanning.

The purpose of this paper is to explore the robustness of the emerging body of knowledge about collaborative supply chains in the context of Engineered-to-Order (ETO) manufacturing engineering project systems.

This paper uses an evolutionary classification technique to build an evolutionary history for an industry case study: the French ETO machine design industry.

The evolutionary history shows that collaborative forms of governance have been used in this industry after an era of failed transactional market-based governance. The industry, however, has abandoned collaborative forms of governance to return to its historical roots towards more vertical integration.

Findings are only relevant in the context of the investigated industry.

In certain industrial settings managers should consider the promise of collaboration and trust with cautious.

The data set supports Williamson’s (1993) rejection of trust as a mode of governance and calls for a more careful delineation of the conditions of recourse to trust in managerial situations.

The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance.

The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked.

There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation.

Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation.

CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.