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The purpose of this paper is to describe UK contractors' perceptions of collaborative relationships in construction.

Based on a UK wide postal questionnaire survey, the opinions of contractors were assessed on reasons for collaborative relationships and the factors that are responsible for the success and failure of collaborative relationships in construction development. The respondents were split into two groups (SME's and large) based on their number of employees, to determine whether their responses varied with size as part of the analysis. Statistical analyses, based on Analysis of Variance (ANOVA) and factor analysis technique were used to investigate the cluster of relationships.

The research shows that UK contractors are positive about collaboration and are engaged in collaborative relationships for construction developments. Factor analysis shows that the principal reasons why contractors are involved in collaborative relationships are for risk sharing, access to innovation and technology, response to market, resource efficiency and client requirements. The principal success factors are commitment of adequate resources from the partners, equity of relationship, recognition of the importance of non‐financial benefits and clarity of objectives while the principal failure factors are lack of trust and consolation and lack of experience and business fit.

Drawing from the findings, the study confirms that construction collaborative relationships are customer driven with very little consideration for competitors, suppliers and subcontractors although a a true collaborative relationship should take into account all the parties involved in construction development supply and demand chains to reap the full benefits.

The paper makes an original contribution of exploring the area of relationships in construction in the UK from the contractors point‐of‐view. The contents within the paper will be of interest to those working within the field.

The purpose of this paper is to explore the phenomenon of collaborative resilience through in-depth case study research in India. This study endeavours to identify and model the critical success factors of collaborative resilience.

Eight critical success factors of collaborative resilience were identified through literature search. Modelling and analysis of these factors was conducted using grey-based DEMATEL method. Data were collected from supply chain experts in Indian industries.

It was found that organizational factors like top management commitment and resilience system design exhibit highest causality on the entire system. Also, co-adaptive transformation and resilience goal alignment are most important for managers. Overall, this research provides a guideline and mechanism to build collaborative resilience in supply chains.

Through the identification of eight critical success factors, this research has related and grounded the concept of collaborative resilience into pre-exiting supply chain practices and concepts. Through rigorous quantitative modelling and analysis of these factors, this research provides a guideline to managers for building collaborative resilience in supply chains.

To the best of the authors’ knowledge, this is the first study that has proposed the concept of collaborative resilience in supply chain and has conducted empirical research on the phenomenon in India.

The purpose of this paper is to address the major findings of published research on the factors influencing students’ knowledge building in an online collaborative environment.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used to review and synthesize existing empirical studies on knowledge building in a collaborative learning context. In total, 24 studies were identified from major electronic bibliographic databases. The research was conducted between 2017 and 2019. Results of these studies were analyzed to determine potential factors that may influence the knowledge-building process among students.

Factors related to interaction and participation, task, student and support were found to be the major factors driving students’ knowledge building in the online collaborative learning environment. The association between these factors and certain collaborative tasks was mapped.

Findings from this review can help decision makers of higher education in both developing and developed countries to take the necessary steps in order to promote effective knowledge-building practices in online collaborative learning. It may also help educational policy makers to understand the particulars of collaborative knowledge-building practices, so to increase organizational overall effectiveness and performance.

The purpose of this paper is to examine how a performance measurement system (PMS) can be designed for a collaborative network and to identify which factors affect such a design.

This is a single-case study of a collaborative network. The data have been collected from semi-structured interviews conducted during 2008-2009 and after the design process in 2010 and 2012, respectively.

The research results present a five-step process model for designing a PMS for a collaborative network. The findings show that a participatory development style that enhances socialisation, the positive development of a network culture and an outside facilitator all have beneficial effects on the design process.

The practical contribution of this study is related to knowledge about the PMS design process for a collaborative network to support its measurement-related development projects. This knowledge involves the phases of such a process as well as the various factors supporting or hindering it.

The study presents a PMS design process for the case network, which can be utilised in other collaborative networks in a similar context. It also highlights the most essential practical experiences related to this process.

Research has shown that the lack of forming team collaboration works as a barrier in the use of collaborative technologies such as Building Information Modelling. So, there is a need to investigate whether and how integrated collaborative technologies have an impact on team collaboration between stakeholders, including clients, in the planning, design and construction stages. The paper aims to discuss these issues.

In order to investigate this interrelationship, researchers used a survey methodology involving gathering both quantitative and qualitative data, and used regression analysis to assess the strength of impact of integrated collaborative technologies on team collaboration. For the qualitative data researchers used content analysis.

Findings show that integrated collaborative technologies impact on team collaboration by assisting the development of a collaborative culture throughout a project. This collaborative culture is deployed due to access to information by stakeholders from anywhere at any time. In this culture environment, stakeholders can share and access knowledge and awareness about the project and thus gain common ground and understanding about the project brief. In addition, integrated collaborative technologies give stakeholders the capacity to control the project process, to enhance the interaction and networking project processes as well as to pre-identify and promptly respond to project errors and uncertainties.

The value of this paper is to contribute in the identification and impact of collaboration culture in the architecture, engineering and construction sector.

In this paper, the authors focus on participatory budgeting (PB) as an organizational issue in local government. The aim of this study is to analyze the premises of PB becoming institutionalized in local governance by scrutinizing the factors that enable or disable PB as a collaborative innovation process, and that in turn build innovative capacity. The authors study how the collaborative innovation process constructs the innovation capacity of local government and further how this enables PB to institutionalize in local government. With this study, the authors deepen the understanding of PB as a collaborative innovation process that may encounter obstacles and hindrances, but also enablers and drivers for creating and transforming sustainable collaborative practices in local government.

In this paper, the authors present a case study from one Finnish local government, the city of Lahti. The authors employ multifaced empirical data collected from the city of Lahti in two PB rounds between 2019 and 2022. Data include surveys for citizens and employees and municipal councilors and altogether 24 interviews with employees and councilors. The authors also gathered data by observing the PB process in Lahti, taking parts in workshops and meetings between 2019 and 2022. Municipal documents were likewise used as data in this study.

The institutionalization of PB in a local government organization requires organizational innovation capacity, not only individuals who are keen, motived and committed to work on PB. However, the Lahti case shows that successful PB results from the citizens' viewpoint can on one hand be reached while simultaneously the sustainability of PB needs more organizational commitment and support that materializes into managerial activities. The authors found that adequate resourcing is a key question in the institutionalization of PB.

In the present study, the authors approach the often-neglected topic of PB from the professional viewpoint in public administration. The originality of the empirical setting is the multifaced data collection during the first two rounds of PB in Lahti. It is highly relevant to analyze PB in its early stages as the organizational difficulties and resistance are at the time at their highest. This study offers a unique perspective on to the initialization of a novel participatory method in a city where no such efforts on this scale have been implemented before.

The purpose of this paper is to identify the triggers, strategies and outcomes of collaborative information-seeking behaviours of researchers on the ResearchGate social networking site.

Data were collected from the population of researchers who use ResearchGate. The sample was limited to the Ph.D. students and assistant professors in the library and information science domain. Qualitative interviews were used for data collection.

Based on the findings of the study, informal communications and complex information needs lead to a decision to use collaborative information-seeking behaviour. Also, easy access to sources of information and finding relevant information were the major positive factors contributing to collaborative information-seeking behaviour of the ResearchGate users. Users moved from collaborative Q&A strategies to sharing information, synthesising information and networking strategies based on their needs. Analysis of information-seeking behaviour showed that ResearchGate users bridged the information gap by internalizing new knowledge, making collaborative decisions and increasing their work's visibility.

As one of the initial studies on the collaborative information-seeking behaviour of ResearchGate users, this study provides a holistic picture of different triggers that affect researchers' information-seeking on ResearchGate.

The purpose of the study was to examine the factors that are important for strengthening university–industry collaboration (UIC). This study also investigates the outcome of UIC in the light of creativity, skill, knowledge, and research work.

A survey method has been used to collect data for the study. This study applied a purposive judgmental sampling technique where particular types of respondents like university faculty members and the top officials of the organizations were selected who are knowledgeable and can provide the desired information. The current study used the structural equation modeling method to analyze the data. In the first stage, this research assessed the demographic factors of the respondent. Then this study conducts confirmatory factors analysis and convergent and discriminant validity and reliability test. Finally, the hypotheses are tested by using nonparametric.

This study finds that knowledge transfer mechanism, governmental factors, organizational design factors, technology transfer and the collaborative network has a significant impact on strengthening UIC, which ultimately facilitates creativity, knowledge creation, skills development and supply of graduate according to the requirement of the industry, good research work.

The current study identified some important determinant that has a substantial influence on strengthening UIC. According to the study organizational design, government, technology, collaborative network and mechanism for knowledge transfer play very crucial roles in strengthening collaboration that ultimately increases the creativity, skills, knowledge and research capability of graduates.

The Singapore construction sector is promoting performance improvement by implementing collaborative contracting (CC). For CC's successful implementation, there is a need to sieve out the critical success factors (CSFs). Hence, this paper aims to explore factors influencing the adoption of CC and investigate the potential performance improvement by implementing CC.

Based on the literature review, 23 CSFs were identified and packaged to a questionnaire to evaluate the CSF's priority as well as CC's potential impact on the project performance. After prior validation, 165 potential respondents were drawn from survey list by using simple random sampling. Finally, 31 valid responses were received.

The survey result showed that the top five CSFs are mutual trust, all parties to commit fully, openness between parties, commitment to a win–win attitude and resource availability. The majority of respondents hold that CC implementation would improve overall project performance, decision effectiveness, cost, time, quality and risk performance.

Directors, project managers, contractor managers and site engineers have different perceptions of CSFs. Also rather than meeting the same requirements in the implementation of CC, there are differences among projects with different values.

This study provides an in-depth understanding of the CSFs for industry practitioners adopting CC and CC's potential impact on project performance. This study is also helpful for authorities to formulate effective policies to push the implementation of CC.

This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).

Motivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.

This work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.

The originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.