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Cross‐functional teams (CFTs) have increased in use within a variety of organizations. While these teams claim to enhance organizational effectiveness, research has seen mixed results. This paper examines the challenges faced by CFTs and why these challenges facilitate the need for the development of a team climate for trust. Trust is discussed as a team‐level construct, an aspect of the “micro‐climate” that occurs within a team. Leadership actions particularly important to cross‐functional teams and the development of trust are offered as influential in creating a team climate for trust in cross‐functional teams.

The purpose of this study is to shed more light on the complex relationship between trust and performance in the context of cross-functional project teams. This study presents a moderated mediation model that investigates the impact of team trust on team performance mediated by project commitment and moderated by climate strength (the consensus among team members on the level of trust).

To test the proposed model, data were collected from 179 project team members in 31 Norwegian construction project teams.

Results indicated that project commitment fully mediates the relationship between propensity and trustworthiness and team performance, while it partially mediates the relationship between cooperation and team performance. For monitoring, there results showed no mediation. The results yielded no support for the moderation effects of climate strength, suggesting that the mean-level approach to studying trust at the team level still is important.

Cross-sectional survey data suffer from being unable to test causality and samples are relatively small. Future research should test the models on other samples and in combination with data other than self-report. Longitudinal and multilevel studies are also warranted.

The results suggest that trust has an impact on project commitment and both directly and indirectly on team performance. Interventions to develop a high trust climate in project teams can thus contribute to improved project performance.

This study offers new insight into the complex relationship between trust and performance and improves our understanding of trust in cross-functional project teams.

The key objective of this research is to test how two trust dimensions (cognition‐based trust and affect‐based trust) mediate the effects of three personal characteristics (psychological distance, the marketing manager's sales experience, and the marketing manager's relative level of formal education) on the following outcome variables: dysfunctional conflict, functional conflict, and perceived relationship effectiveness.

Drawing on the interaction approach, the paper develops a conceptual framework to better understand the nature of the working relationship between marketing managers and sales managers. In total, it develops and test 13 hypotheses. Partial least squares was used to assess the validity of the measures, and to estimate the structural model. Using a cross‐sectional design, data were collected from 101 marketing managers in Australia.

The hypothesized model has high explanatory power and it was found that both trust dimensions strongly affected all three outcome variables. However, though both forms of trust were positively related to perceived relationship effectiveness, affect‐based trust had the strongest impact on this outcome. The results also confirm that both cognition‐ and affect‐based trust have negative effects on dysfunctional conflict, and strong positive effects on functional conflict. In addition to these new findings, the paper shows that while psychological distance has a strong negative impact on cognition‐based trust, it has no impact on affect‐based trust. Moreover, it was found that when marketing managers had greater levels of sales experience, it increased their affect‐based trust but it had no impact on cognition‐based trust. Finally, the marketing manager's relative level of formal education had no impact on either forms of trust.

This is one of a handful of studies to employ a large‐scale empirical approach to examine the neglected cross‐functional relationship between marketing and sales. Also, it is one of the few studies to examine the effects of cognition‐based trust and affect‐based trust on performance outcomes.

Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management.

Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review.

The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA.

The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually.

This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.

This paper aims to improve marketing managers’ use of information from sales. The authors propose and empirically test the link between cross-functional trust and marketing’s use of information from sales, and whether this effect is contingent on marketing’s power within the firm.

Cross-sectional survey data were collected from 338 large-scale Hungarian firms. Structural equation modeling and bootstrap procedures were used to test the hypotheses.

The effect of cross-functional trust on marketing managers’ use of sales information is fully mediated by sales–marketing integration and marketing’s perception of information quality. However, the power of marketing within the firm moderates this mediating relationship.

This paper provides empirical evidence concerning the mediating mechanisms of transferring cross-functional trust to marketing’s successful use of information from sales. The findings imply that cross-functional trust can improve marketing managers’ use of sales information of firms with powerful marketing units by facilitating integration, whereas it can improve the use of sales information of firms with low marketing power by improving marketing managers’ perception of information quality from sales.

This is the first study that models and empirically investigates marketing managers’ use of information collected by sales. The current study conceptually links and advances extant knowledge on the literatures on the sales–marketing interface and utilization of market information at the individual level and increases the understanding of how cross-functional trust contributes to information use under different contingencies of marketing power.

The primary objective of this research is to test a model examining interpersonal trust between marketing managers and R&D managers during new product development projects.

In this study interpersonal trust as a bi‐dimensional construct with cognitive and affective components is conceptualised. The authors' integrative structural model specifies Weber's structural/bureaucratic dimensions – formalisation and centralisation to predict three communication dimensions, communication frequency, quality, and bi‐directionality. In turn these communication dimensions are used to predict cognition‐based trust, and affect‐based trust. In addition, the paper models the direct effects of the three communication dimensions on a dependent variable – perceived relationship effectiveness. The hypothesised model consists of 16 hypotheses, seven of which relate to the two focal interpersonal trust constructs. The measures were tested and a structural model estimated by using PLS. Data were provided by 184 R&D managers in Australia, reporting on their working relationship with a counterpart marketing manager during a recent product development project.

The hypothesized model has high explanatory power and it was found that both trust dimensions strongly influenced the effectiveness of marketing/R&D relationships during new product development, with cognition‐based trust having the strongest impact. The results also reveal which forms of communication help to build interpersonal trust. The most powerful effect was from communication quality to cognition‐based trust. The next strongest effects were from bi‐directional communication, which was a strong predictor of affect‐based trust, and a somewhat weaker predictor of cognition‐based trust. Interestingly, the direct effects of our three communication behaviours on relationship effectiveness were modest, suggesting that their relationship building effects are largely indirect. Last, it is revealed that bureaucratic means of control on product development projects have mixed effects. As expected, centralisation reduces cross‐functional communication. In contrast, formalisation has a positive effect during product development, as it stimulates both the frequency and bi‐directionality of communication between marketing managers and R&D managers on these projects.

This is the first study to treat interpersonal trust as the focal construct in marketing/R&D relationships during new product development. Moreover, it is the only study of marketing/R&D relationships to conceptualise, measure, and model two underlying dimensions of interpersonal trust (cognition‐based trust, and affect‐based trust). Our study also integrates aspects of Weber's theory of bureaucracy, with interaction theory, and demonstrates the strong links between these theoretical frameworks.

Traditional organizations with heavy internal competition, rigid functional silos and undue compartmentalization exhibit sub‐optimal performance by inhibiting critical knowledge flows. Cross‐functional teaming attempts to solve this problem by building organizational connections across functional silos. However, merely bringing members of formerly isolated departments together produces only marginal increases in performance. Any synergistic collaboration is likely to arise serendipitously and unpredictably. We propose a systematic approach for combining the principles of knowledge management and cross‐functional teaming in ways that purposefully enhance knowledge flows and result in significant improvements in organizational performance as measured by cost, time and quality.

The purpose of this paper is to analyze the extent to which different patterns of cross-functional integration and the operations strategy (OS) process may be explained by national cultures differences.

Perceptual survey data from 105 manufacturing plants in four countries were used to validate the constructs and to test the hypotheses. The plants are located in two Western and two Eastern countries with different industrialization and development backgrounds (Brazil, China, Germany and South Korea). CFA validated the constructs, and ANOVA and t-tests evaluated the differences between levels of four Hofstede’s elements (i.e. power distance, individualism vs collectivism, uncertainty avoidance and long-term vs short-term orientation) on the OS process enablers (i.e. leadership for cross-functional integration and functional integration) and elements (i.e. manufacturing strategy linkage to corporate strategy and formulation of manufacturing strategy).

Results suggest that different OS and OM processes are present in different national cultures. Leadership for cross-functional integration and manufacturing strategy linkage to corporate strategy differ between levels of power distance, individualism vs collectivism and uncertainty avoidance. Functional integration and formulation of manufacturing strategy also present differences according to the degree of individualism vs collectivism and long-term orientation.

Results indicate that national culture is a key aspect for the OS process. Prior studies usually do not consider cultural aspects. Therefore, the OS process varies in different countries and contexts. Managers need to adjust their OS process when they are developing a global OS.

A team made up of employees from different sections of an organization can be a great recipe for success, but its full potential can only be achieved through skilled leaders creating an atmosphere of mutual trust. Mixed teams face various challenges, including differences in personality, culture, language or jargon, and reward systems. Members may have diverse backgrounds, experiences, values and beliefs, and this diversity can hinder group cohesion and handicap social interaction.

How knowledge exchange (KE) can be used for the continuous assessment and improvement of collaborative performance of project-based organisations in construction is explored. Collaboration on construction projects must be facilitated by people alongside practice of continuous performance assessment and improvement. Currently available assessment tools fail to explicitly define appropriate behaviours and actions due to a poor understanding of what it means for people to collaborate. In contrast, it is established that KE is the focus of collaborative efforts on construction projects; therefore, as most knowledge resides with people, it represents their role in collaboration. The paper aims to discuss these issues.

Through a phenomenological/interpretivist and qualitative methodology, how KE can be used for the continuous assessment and improvement of collaborative performance in project-based organisations in construction is explored. A single case study of a UK rail strategic alliance was adopted and six semi-structured interviews were conducted and analysed through a thematic analysis.

An assessment tool is proposed based on a set of 20 characteristics of KE, divided into seven categories and linked to indicators of collaboration. The tool can be applied to highly collaborative projects where BIM and Lean are implemented, and project participants are collocated. By measuring their performance against the set criteria, project teams can assess which of their behaviours and actions are inappropriate, and focus their efforts on correcting them.

Defining the abstract indicators traditionally used to assess collaboration in terms of characteristics pertinent to day-to-day communication amongst participants on collaborative projects to facilitate the continuous assessment and improvement of collaborative performance.