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This study aims to fill the gap in collaboration culture improvement by designing an information-sharing system as an enabler to support the forming dimensions of the collaboration process in previous studies. The authors propose the appropriate system to eliminate the collaboration culture gaps between the related functional units based on in-process interaction learning in a business process outsourcing company.

This study employed action research (AR) based on soft systems methodology (SSM) with a system thinking approach, in which the authors and process actors design the agreed information-sharing system by involving the process actors in identifying the initial problem situation as well as validating the conceptual model through discussions and designing the expected system.

This study discovers that SSM-based AR is a suited method for designing a system that supports the formation of collaboration culture among actors in the digital service creation process by learning user perceptions and expectations in order to obtain their commitment to empower the proposed system.

In addition to providing a system to minimize the lack of collaboration culture, this study contributes to the academic literature by offering a new way of planning and designing in a system development methodology using soft systems approaches to understand user perceptions, expressing user interaction in a conceptual model and validating it and defining agreed activities to obtain the best design according to user expectations.

As the application of artificial intelligence (AI) becomes more prevalent, many high-tech firms have employed AI applications to deal with emerging societal, technological and environmental challenges. Big data analytical capability (BDAC) has become increasingly important in the AI application processes. Drawing upon the resource-based view and the theory of planned behavior, this study aims to investigate how BDAC and collaboration affect new product performance (NPP). Practically, a harmonic working team is particularly important for creating management synergies, this empirical analysis demonstrates the importance of BDAC and collaboration for NPP.

This paper focuses on the performance of firms that applied AI in their operations. This study collected data from firms in Greater China, including China and Taiwan, as Greater China is currently the leading manufacturer of semiconductor, electronic and electric products for AI applications in the manufacturing process. Confirmatory factor analysis and structural equation modeling is employed for statistical analysis.

The analytical results indicate that BDAC positively relates to collaboration capability (CC) in AI applications but not to team collaboration (TC). CC positively correlates with TC, and both CC and TC positively correlate with NPP. Further, the mediating effect was examined using the Sobel t-test, which reveals that CC is a significant mediator in the influence of BDAC on NPP.

The strategic implementation of BDAC and collaboration can allow an enterprise to improve its NPP when driven by the external environment to use AI, which further enhances NPP. These processes indicate that AI and BDAC are both crucial for the success of a company’s collaboration and for effective management to improve NPP in the face of global competition.

This study introduces the concept of BDAC to explain the relationship between CC and TC, as they pertain to NPP. This study presented a discussion of the theoretical and practical implications of the research findings and could provide a framework for managing BDAC.

Drawing upon information processing theory (IPT) and natural resource-based view (NRBV), this study analyses the role of social media technologies (SMT) on internal and external environmental collaboration and green innovation (green product, process and managerial innovation).

This study took in-depth empirical research by developing a survey questionnaire to identify the relationship between SMTs, environmental collaboration and green innovation. The respondents of the questionnaire were supply chain professionals working in the manufacturing industry of Pakistan. The survey collected 475 responses, which were tested through PLS-SEM using Smart-PLS.

The study results indicate that SMTs positively influence both internal and external environmental collaboration. Furthermore, internal environmental collaboration (IEC) fosters green products and green managerial innovation. In contrast, external environmental collaboration (EEC) fosters green processes and green managerial innovation. This study has also tested the mediation of IEC and EEC, which shows that both IEC and EEC mediate all the relationships except green process and green product innovation. The results also revealed that innovation capabilities moderate the relationship between environmental collaboration and green innovation.

Though this study has various practical implications, it is not free of limitations. First, the data were collected from Pakistan, and the results may only be compared with other developing countries. Second, few social media platforms have been considered, but they are increasing in numbers and could be used in upcoming studies. Third, green innovation in the context of products, processes and management is considered, but the concept is evolving, and its other indicators can be taken in upcoming studies.

This study addresses the implication of SMTs, environmental collaboration, innovation capabilities and green innovation, which are helpful for managers and policymakers to design policies.

This study provides the seminal operationalization of SMTs in environmental collaboration and green innovation. This study emphasizes innovation capabilities that firms should adopt.

The study aims to test the success of university-industry (U-I) collaboration in terms of innovation process efficiency. Then, this study explores the moderating role of a set of organizational routines in the U-I relationship, which can help in overcoming the issues undermining the collaboration success.

The study is based on an international Open Innovation (OI) survey. The survey investigated the items to build the main variables of the conceptual framework, measured through seven-point Likert scales. Steps to ensure the reliability and validity of the variables were conducted. Then, hypotheses were tested with an ordinary least squares regression.

Results show that the higher the collaboration intensity (depth) with universities, the higher the innovation process efficiency. Furthermore, organizational routines aimed at improving firms' assimilation absorptive capacity further strengthen the positive effects of intensive collaboration on innovation process efficiency.

Findings indicate that R&D managers should strive to build deep collaborations with universities to enhance process efficiency and invest in the quality of these relationships. Managers should create and maintain an internal environment that further enhances the positive effects of intensive collaboration on innovation process efficiency.

The OI literature has not reached a shared view on the positive contribution of universities toward industrial firms' innovation performance. The study adopts a process-efficiency view, rarely used by other OI studies usually focused on output indicators; this study unpacks, respectively, the role of the intensity of collaboration and the organizational routines, thus disclosing the benefit of U-I collaboration on innovation efficiency.

The construction industry is a primary contributor to the development of emerging economies such as the Kurdistan Region of Iraq. However, the sector is underperforming, and products are not meeting expectations. A lack of collaboration is considered a significant contributor to these issues. Various researchers have identified factors to improve collaborative approaches. However, there is still a lack of clear frameworks to help implement collaboration in the construction industry, especially in emerging economies. Therefore, this study aims to develop a framework to implement collaboration in the construction industry.

This article utilises a review of literature, questionnaire and interviews with experts in the construction industry in order to develop a framework to achieve collaboration in construction projects.

The research presents a framework that distributes the factors of collaboration over the project lifecycle stages in accordance with the Royal Institute of British Architects (RIBA) Plan of Work 2007. Each factor is divided into a set of enabling conditions which must be satisfied to ensure that the given specific factors are delivered. Additionally, the framework suggests appointing a collaboration champion at the beginning of the project to manage the process.

The research contributes to scarce literature about collaboration practices in the Kurdistan Region and in emerging economies in general.

Inter-organisational collaboration (IOC) across healthcare settings has been put forward as a solution to mounting financial and sustainability challenges. Whilst ingredients for successful IOC have been explored, there remains limited understanding of the development of IOCs over time.

The authors systematically reviewed the literature to identify models applied to IOCs in healthcare across databases such as Healthcare Management Information Consortium (HMIC) and MEDLINE, identifying 2,763 titles and abstracts with 26 final papers included. The authors then used a “best fit” framework synthesis methodology to synthesise fourteen models of IOC in healthcare and the wider public sector to formulate an applied composite model describing the process through which collaborations change over time. This synthesis comprised extracting stages and behaviours from included models, selecting an a priori framework upon which to code these stages and behaviours and then re-coding them to construct a new composite model.

Existing models often did not consider that organisations may undergo many IOCs in the organisations' lifetime nor included “contemplation” stages or those analogous to “dissolution”, which might negatively impact papers using such models. The formulated' composite model utilises a life-cycle design comprising five non-linear phases, namely Contemplating, Connecting, Planning, Implementation and Maintenance or Dissolution and incorporates dynamic elements from Complex Adaptive Systems thinking to reflect the dynamic nature of collaborations.

This is the first purpose-built model of the lifecycles of IOCs in healthcare. The model is intended to inform implementers, evaluators and researchers of IOCs alike.

This paper provides empirical evidence for how gender diversity in top management teams (TMTs) and collaboration with university and technological centres lead to innovation outcomes. The authors review past research on these concepts and illustrate their individual and joint effects on process innovation specifically in the unique context of family firms (FFs).

The authors used a sample of 788 Spanish manufacturing family firms in 2016 and applied logistic regression models since the dependent variables are dummies.

The authors found a positive relationship between gender-diverse TMTs, process innovation and research and development (R&D)-based process innovation. Similarly, the collaboration with university technological centres is positively associated with higher innovation outcome of FFs. In addition, the authors also found that the presence of women in TMTs shapes the relationship between the collaboration with university technological centres and process innovation.

This paper contributes to the research on collaborative innovation in FFs by emphasizing the collaboration with university technological centres, an external partner often ignored by this stream of literature. This research also responds to the calls for further study of the effect of the heterogeneity of the TMTs on the innovation outcome of FFs, from the perspective of the resource-based view (RBV) of the firms.

Eco-innovation is emerging as one of the most important constructs that improve environmental sustainability of firms. However, it has been shown that companies alone cannot adequately develop eco-innovation activities, which is why they require the implementation of external collaboration activities with intermediaries, suppliers and stakeholders to achieve a higher level of eco-innovation activities and improve business performance of manufacturing firms. Therefore, this research fills this gap by exploring the importance of the relationship between collaboration and eco-innovation.

The research is conducted through an extensive literature review with a research model consisting of 5 measurement scales, 24 items and 4 hypotheses. A self-administered questionnaire was distributed to a sample of 460 firms in Mexico, analyzing the data set through confirmatory factor analysis and structural equation models.

The results obtained from this study suggest that collaboration has significant positive effects both on the eco-innovation of products, processes and management, as well as on the business performance of companies in the automotive industry.

The findings of this study have important implications both for the public administration (e.g. development of policies to support companies and financing programs) and for the managers of companies in the automotive industry (e.g. training program for employees and collaboration with other firms).

This paper fills a research gap by expanding the limited body of knowledge that relates collaboration eco-innovation and business performance, which is why this research aims to fill this existing gap in the literature and explore the relationship between collaboration, eco-innovation and business performance.

The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

This study aims to explore how and when learning from others promotes creative performance over the contributor’s tenure in the context of open innovation communities.

The authors analyze a publicly available data set that includes 25,923 innovative items developed by 2,194 contributors from an open innovation community of an online game spanning eight years. Logistic regression model is used for analyzing the data.

The results show that multicultural experiences are negatively related to contributor’s creative performance, and this negative relationship weakens as contributor’s tenure increases. While diverse skills are positively related to contributor’s creative performance, and this positive relationship strengthens as contributor’s tenure increases.

This research highlights the importance of online team collaboration in knowledge transfer through learning from others in open innovation communities. By identifying two outcomes of learning from others through online team collaboration, the authors demonstrate the double-edged role of learning from others and advance the understanding on how the effect of learning from others varies over the contributor’s tenure. These results expand the understanding of online team collaboration and provide a new perspective for research on learning from others.