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Collaboration and acquisition have traditionally been observed as two alternative strategies when accessing external technologies. However, real option scholars have recently argued that firms can also engage in transitional technology sourcing trajectories where collaboration and acquisition are used as complementary strategies. While these real option scholars have identified factors that influence when partners are likely to shift from collaboration to acquisition, they remain silent on how such a transition can be effectively managed. Based on a multiple case study of four transitional technology sourcing trajectories between one new entrepreneurial and one established firm, this study therefore explores how the pre-acquisition collaboration stage and the post-acquisition integration are related to each other. Findings suggest that entrepreneurial companies may use the pre-acquisition collaboration stage as a period to evaluate the goodwill of the established partner. In addition, we point to the presence of pre-acquisition integration efforts and the extent of strategic convergence during the pre-acquisition collaboration stage as factors that substantially influence the success of the post-acquisition integration process in transitional governance trajectories.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The purpose of this paper is to examine the influence of asymmetric environments on collaboration, integration, and performance during supply chain management processes.

The study conducted in the industrial sector of two markets – Spain and Poland – considering disparate behaviors among organizations and their managers. Using data collected from 133 firms and advanced partial least squares regression modeling, a number of direct and moderating effects are hypothesized and tested.

The authors found that existing asymmetry may prevent achievement of optimum equilibrium. Seven of the ten research hypotheses were validated, providing strong support for the significant role that asymmetry can play in managing supply chains (SCs). This result suggests that managers need to consider whether maximum collaboration or integration with SC partners is possible under the strong influence of asymmetry. The findings provide rational insights to SC managers regarding adequate measures to reduce imbalanced relationships and establish equilibrium between partners under varying contexts of collaboration and integration.

This study was conducted in only two countries, so generalizations are limited. Furthermore, there are improvements to be made in sample design to allow for further validation and enhancement of the model and method.

Findings provide rational insights to managers regarding when it is adequate to reduce imbalanced relationships with partners under varying contexts of collaboration and integration.

Collaboration and integration have been well studied in many fields but this research suggests that managers in asymmetric environments must understand that development of strategies based on integration might be impossible to realize.

This paper aims to assess the links among these supply chain constructs by conducting a full-scale systematic review of all supply chain management (SCM) literature reviews published in ten leading logistics, SCM and operations management journals from 1989 to 2012. Collaboration and integration are as central to SCM as risk and performance management.

The authors apply content analysis to execute the systematic literature review on the sample of 103 articles, supplemented by contingency analysis. These approaches guarantee a replicable, rigorous and transparent research process and minimize researcher bias. The analytical categories required for the content analysis are defined along the constructs of collaboration/integration and risk/performance.

As can be expected, the review highlights the key role of the two constructs in SCM. In this light, the research claims to provide statistical evidence of a link between the constructs of collaboration/integration and risk/performance, most notably between collaboration and performance, information sharing and rewards sharing, as well as integration and supply chain performance.

The study assesses the link between the constructs of collaboration/integration and risk/performance through research embedded in literature reviews, pinpointing research gaps and potential future research directions in the field. Contributing to SCM theory building, a thorough review provides statistical proof of the link between collaboration/integration and risk/performance.

Although numerous literature reviews have been conducted in the past on the SCM constructs of collaboration/integration and risk/performance, no full review of literature reviews aiming to test a theoretical link in the here presented form has yet been undertaken to the authors’ knowledge.

This paper aims to examine the non-linear aspects of the relationship between asymmetry and performance in supply chains (SCs), under varying intensities of collaboration and integration.

The paper offers a useful new approach to designing strategic elements of supply chain management (SCM) relationships. Using the partial least squares method, an empirical study of 66 companies in Spain has been conducted to clarify contemporary relationships, suggest new directions and ultimately contribute toward developing SCM theory.

The influences of asymmetry on performance in varying collaboration and integration contexts are shown to be unstable and have non-linear paths. It is inappropriate for all firms to collaborate or integrate continually, even for a prescribed period. Furthermore, due to asymmetry, SCM processes are more complex.

The results’ validity may be limited to contexts specific to Spanish SCs. It would be valuable to investigate the impact of asymmetry on firms’ performance and relationships in other markets.

Collaborations and integration between partners in a SC might change the role of asymmetry from restraining to improving performance. The best way to improve performance in asymmetric relationships is to collaborate. Certain dimensions of integration and full integration are not necessarily required to improve firms’ performance under asymmetry conditions.

The study adds a new viewpoint on SCM by suggesting that not all collaboration and integration developments lead directly to improved performance.

BIM research to date has in general zeroed in on featuring the significance of BIM-enabled integration and collaboration (BIMIC) rather than giving exact proof of its occurrence. Accordingly, this research quantitatively explored the determinants of BIMIC in South Africa.

This research conceptualized a four-pillar model of BIM-enabled integration and collaboration. The speculations in the model were examined using SEM-MLE.

The aftereffects of the SEM-MLE demonstrated that network communication, knowledge sharing, and transfer, information sharing and exchange and trust-based relationships are critical determinants of BIMIC. The model's prescient power demonstrates an acceptable validity, and the boundary gauges showed that all the hypotheses were measurably huge.

This research gives a hypothetical premise for further investigation of BIMIC by supporting the postulations on the occurrence of collaboration and integrations among the BIM-SCM.

The idea investigated involving SEM in this research gives a holistic view to the BIM managers in arranging BIM-based activities and overseeing BIM cycles and supply chain members. It likewise offers rules and structures for accomplishing and overseeing integration and collaboration among the BIM supply chain members.

Despite 20 years of exploration on the BIM concept and adoption, no idea has been given to clarify the determinants of integration and collaboration as a BIM cycle. The four-pillar model of BIMIC created and tested in this research clarified BIMIC and contributed a new model to the current literature on the BIM process.

The purpose of this paper is to examine the role of Association of Southeast Asian Nations’ (ASEAN) flagship universities in moving the agenda of regional integration forward through academic/research collaboration and cooperation.

Flagship universities are leading universities in the national higher education systems of countries that make up the ASEAN. This study on the ASEAN’s flagship universities is based on a three-pronged strategy, namely, a literature review, analysis of websites contents, and citation of supporting pieces of evidence from other relevant studies to support arguments. Using the QS top universities in Asia 2016 listing, top 70 public universities in ASEAN were selected for investigation. In instances where public universities in a particular ASEAN country were not listed in the QS listing, a premier public university of that country was then selected for investigation.

There is a tendency for ASEAN’s flagship universities to look beyond ASEAN, primarily to establish vertical collaboration, which is important to their efforts in creating their image and enhancing their reputation. As a result, academic/research collaboration among flagship universities and collaboration between these universities and other universities in ASEAN is glaringly on the low side. Interestingly, to move the regional integration agenda in ASEAN, other intermediary agencies outside of ASEAN, such as in the European Union, are very active in providing a platform for both flagship and non-flagship universities to collaborate.

While regional collaboration and cooperation within ASEAN and East Asia have been discussed elsewhere, this paper has utilised and expanded Douglass’ (2016) idea of flagship universities to include regional relevance for the purpose of regional integration of ASEAN.

Many manufacturing firms source components and subsystems from suppliers. Consequently, the suppliers' product and manufacturing knowledge is a central concern at the interface between R&D and manufacturing. This paper aims to specifically investigate how supplier knowledge is integrated and what role trust plays in knowledge integration with suppliers at the R&D-manufacturing interface.

The study is based on qualitative case studies of two different collaborations with suppliers at one firm.

Two distinct processes are identified. First, capturing represents knowledge integration through decoupling, for which a basic level of trust specifically with regard to the competence of the supplier is necessary. Capturing can take place through interactions that are limited in time and scope. Second, joint learning represents a coupled knowledge integration process and takes place during a more extended period of time preceding and following the R&D-manufacturing interface and builds on relational-based trust.

The interface between R&D and manufacturing needs to be extended to include a focus on suppliers' contributions in terms of product and manufacturing knowledge. The choice for suitable knowledge integration processes needs to be guided by concerns about the level of trust and the character of the supplier contributions.

The paper adds new insights to previous literature by distinguishing between different types of knowledge integration processes and levels of trust. It bridges the gap between innovation and operations management and clearly shows that the interface between R&D and manufacturing crosses organizational borders.

The purpose of this study is to explore four integrative supply chain practices – customer information technology (IT) integration, supplier IT integration, customer collaboration, and supplier collaboration – using a service‐dominant logic (SDL) lens to inform their relationships with procurement capability and ultimately firm performance. The study goes on to examine how firms with high and low procurement capability differ in their use of these practices, thus informing curiosity regarding “best practices”.

Data were collected from 711 firms in 23 countries during the International Manufacturing Strategy Survey (IMSS). Exploratory factor analysis established simple factor structure and construct validity. Stepwise regression was employed to analyze relationships among customer collaboration, supplier collaboration, customer IT integration, supplier IT integration, procurement capability, and firm performance. T‐tests examined differences between the practices employed by firms with high and low procurement capability.

Findings reveal positive relationships among customer collaboration, supplier collaboration, customer IT integration, and procurement capability. Supplier IT integration is not found to be significantly related to procurement capability. Procurement capability is in turn found to be positively associated with firm performance. All four variables emerge as best practices of firm's demonstrating high procurement capability.

This study provides a rare empirical investigation, and rich insights, into SDL for value co‐creation in supply chain management by examining an international sample of manufacturers. This study contributes to the extant understanding of supply chain collaboration and integration by unpacking key practices in the context of a firm's procurement capability. Lastly, “best practices” are provided which should be of great interest for practitioners from around the globe.

This research aims to extend the “collaborative paradigm” proposed by others in prior research beyond a supply chain's core operations. To date, this paradigm has generated relatively little empirical research on peripheral, non‐core areas such the natural environment. Antecedents (both plant‐level and supply chain characteristics) of green supply chain practices (GSCP) are examined. Among possible antecedents, prior research pointed to supply chain integration – both logistical (tactical level) and technological (strategic level) – as a potentially important determinant of green practices.

Green practices are defined along the two dimensions of environmental collaboration and monitoring. The empirical analysis used data from 84 plants in North America surveyed in 2002. Validity and reliability of scales for new and existing constructs were assessed through factor analysis. Hierarchical linear regression was used to test the hypotheses for the antecedents of GSCP.

Technological integration with primary suppliers and major customers was positively linked to environmental monitoring and collaboration. For logistical integration, a linkage was found only with environmental monitoring of suppliers. Finally, as the supply base was reduced, the extent of environmental collaboration with primary suppliers increased.

Greater supply chain integration can benefit environment management in operations, and the collaborative paradigm can be extended to this domain. A limitation is that the empirical analysis focused on one industry representing a single echelon.

This is one of the few studies that conceptualize and empirically test GSCP, and consider both and separately upstream and downstream interactions in the supply chain.