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How beneficial is interorganizational learning for research and development (R&D) consortium performance, and what factors drive the learning effectiveness? To answer these underexplored topics, this study aims to investigate the relationship between interorganizational learning and consortium performance and the moderating impact of social capital embedded in the consortia on the relationship.

Based on the literature review conducted, interorganizational learning is conceptualized as a multidimensional construct represented by exploitative and exploratory learning at the consortium level. R&D consortium performance is operationalized as a combination of technological and business performance, corresponding, respectively, to its collective outputs and individual outcomes. This study hypothesizes focusing on technological performance while analyzing business performance for the robustness check.

The hypotheses are tested in an original sample of 218 R&D consortium projects in which Korean ventures participated as focal partners. The results show that both exploitative and exploratory learnings are positively related to R&D consortium performance, and social capital accrued in the consortia leverages the advantages of exploratory learning for technological performance and exploitative learning for business performance.

This study adds new evidence to the literature, suggesting the performing-by-partnering mechanism of R&D consortia is contingent on the social capital that institutionalizes the common learning platform in which the partners interoperate. In practical respects, the combination of interorganizational learning and social capital deserves to be regarded as strategic elements for the value-cocreating consortia, requiring the true exchange of knowledge across partners.

This study proposes a framework for performance measurement of library consortia services by implementing the indicators listed in ISO 11620. The framework is validated by using real data from HEAL-Link, the national consortium of Greek academic and research libraries to calculate the indicators.

The paper reports on the related work regarding the services consortia offer to their members and the known methods and tools for assessing consortia services; the HEAL-Link case study, the aggregation and handling of data, is presented; ISO 11620 performance indicators for HEAL-Link services are calculated, and the results are discussed in terms of what was learnt- about the consortium, about measuring consortia services performance, and about the standard.

ISO 11620 could be used to measure performance for assessing consortia services. The performance indicators’ results reflect the two major events (mergers and COVID pandemic) that took place during the time of the study. ISO 11620 offers a basic insight that could be well complemented with other tools and standards.

The current study suggests that a widely accepted, easily applied, benchmarking ISO standard could be used to measure common consortia services’ performance, thus contributing to consortia assessment.

This paper addresses the issue of management control (MC) of collaborative innovation. It attempts to fill this gap in MC literature by considering both contingency and internal consistency perspectives influencing the MC setting, especially in the context of R&D alliances. Opening the boundaries of R&D has implications for the design of MC. It involves particular challenges and raises specific tensions of competing demands between control and innovation.

Based on a quantitative survey of sponsored European consortia and using the structural equation modeling method, we design an interfirm MC model to support collaborative innovation.

Our results show that the innovation ecosystem plays a critical role as an institutional element shaping the MC design. We also infer based on our findings that the package approach is more suitable than the system one to set up control practices within a collaborative innovation context. Thus, the package allows several configurations of MC in an ongoing process that, in turn, leads to deal with organizational tensions and conflicting pressures in a dynamic way. Accordingly, the package's effectiveness seems to be related to its “fit” with the alliance context rather than its “internal consistency”.

This study advances MC literature by combining two theoretical perspectives to address interfirm MC, especially in the field of innovation that raises specific challenges. The findings lead also to build a bridge with a new perspective, i.e. evolutionary perspective, as the package suggests an ongoing process of resolving dynamic tensions between control requirements and innovation needs.

The study suggests a model of MC package that provides managers with a range of viable configurations and alternatives to support collaborative innovation, control activities, adapt to changes, resolve tensions and drive performance.

Instead of prior studies, the study relies upon both contingency and internal consistency perspectives to examine the MC design and structuring mode. In addition, the empirical part of this research deals with the case of European sponsored R&D consortia as a form of collaborative innovation. Unlike traditional R&D alliances, management control within sponsored consortia seems to be more complex to address as the consortium is multilateral, the grants are public and the goals may diverge given the broad variety of organizations the consortium involves.

Despite several contributions to greenhouse gas emission and carbon footprint reduction, the literature lacks empirical insights into the business impact of climate risks, when they materialize, and techniques to manage them. This study aims to devise a model delving into critical climate risks and the role of consortia and social capital to mitigate these risks.

A mixed-methods approach was used, including qualitative and quantitative data from small- and medium-sized enterprises (SMEs) in an Australian agrifood supply chain (AFSC).

The qualitative analysis uncovers four critical climate risks and a repertoire of relational, structural, and cognitive social capital accrued by SMEs of AFSC through consortia. The quantitative analysis corroborates that the SMEs that accumulate higher social capital through active engagement within consortia are able to respond more effectively to climate risks than to others. The authors, therefore, find that climate risk mitigation in SMEs is the function of both association (consortia) membership and the accrual of higher social capital through active involvement and collaboration within networks.

This is the first study in using a moderated-moderation model that simultaneously investigates the business impact of climate risks and how the moderating impact of consortia (a primary moderator) is further moderated by social capital (a secondary moderator) in explaining SMEs performance. The paper addresses the lack of adequate empirical research, particularly mixed-methods, in supply chain risk management literature.

We extend the literature on network perception by introducing a novel view of how this perception is structured. We propose the concept of Cognitive Aggregated Social Structures (CASS) as a framework to capture perceptions of opaque networks – that is, networks where relations are difficult to observe due to their features, their members, and the characteristics of the environment in which they operate. We argue that actors simplify their perception of opaque network structures via “chunking,” that is, by cognitively representing network ties as between categories of actors rather than between specific network members. We test the validity of the CASS construct and its predictive power by showing how these representations affect actors’ perceptions of relevant network outcomes. Using data from a major inter-organizational technology consortium, we show that perceived density among “chunks” in the knowledge transfer network is positively related to perceived consortium performance. Finally, we discuss the implications of our findings for the strategic management literature, highlighting potential contributions to strategic formulation and implementation, category emergence, industry evolution, and cognitive barriers to entry.

This paper aims to focus on formation motivations and processes of R&D consortia to appreciate their differential innovative and learning capabilities.

The paper presents its argument in two separate steps. First, a two‐by‐two framework, comprising four consortium types, is developed based on two formation motivations (i.e. risk sharing and networking) and two formation processes (i.e. emergent and engineered). Four case vignettes are used to demonstrate the practical relevance of the two‐by‐two consortium typology framework. Second, the innovative and learning capabilities of each of these consortia are explored and eight propositions are advanced.

The paper introduces four types of consortia: community builders, gamblers, visible hands, and opportunists. It is argued that visible hands generate greater innovation than community builders and opportunists, and community builders and opportunists generate greater innovation than gamblers. It is also argued that government involvement moderates the relationship between consortia type and innovative capabilities in an inverted U shape. Lastly, relative appropriateness of frequency, outcome, and trait imitations to facilitate organization‐level learning among consortium members is explored.

The main contribution of this paper lies in its two‐by‐two typology of consortium formation contextual conditions. Instead of focusing on evolutionary cycles and performance issues of consortia, this paper draws research attention to contextual conditions surrounding consortia formation. Consortium formation contextual conditions are critically important because they predetermine the life cycle and performance trajectory of consortia. This paper also links innovation and learning dynamics in consortia.

The study investigates the perceived network effectiveness of the Florida Benchmarking Consortium (FBC). It also examines the impact of network coordination, longevity of membership and environmental support on perceived network effectiveness.

It uses a cross-sectional, nonexperimental research design and an ordinary least squares (OLS) multiple regression that employed data from an online survey administered to local government employees from FBC member governments.

The results show that the FBC moderately meets the expectation of network participants to serve as a platform for exchanging experiences and increasing performance knowledge. However, the network's effectiveness is not dependent on the frequency of interactions among network members, but depends on their interactions with focal egos such as the FBC Executive Director. Contrary to expectations, the longevity of involvement with the network is not associated with perceived network effectiveness. Moreover, network members who perceive the environment as supportive are more likely to positively evaluate the network's effectiveness.

Because perceived network effectiveness may be improved if the members interact with the right “focal” players, managers should proactively pursue closer connections with knowledgeable network members using additional and more frequent communication. Also, research efforts at identifying the characteristics of the right focal players that contribute to network effectiveness should be pursued.

While there is extensive attention to the participation of public organizations in networks, less research focuses on network effectiveness examined at the network level. This study addresses this research gap by investigating if the FBC is effective in meeting its network goals.

The purpose of this paper is to describe inter‐firm marketing cooperation as a strategy by small and medium enterprise (SME) players in local systems of fashion firms.

This case study research focuses on Italian leatherwear manufacturers that join together to create an interfirm consortium which acts as a sole manufacturer‐marketing player.

The case study observes marketing policy orientations toward the final consumers while remaining consistent with the aim of preserving cooperation with the big international retail buyers. The comprehensive description provides propositions relevant for advancing a theory of interfirm cooperation and marketing behavior. The paper reports on implementing consortium marketing through the integration of marketing activities among the SMEs in the Italian fashion leatherwear industry.

Consortium marketing (CM) organizations represent one structure among several for the coordination of activities by independent firms in a supply chain; CM usually includes planned collaboration in innovation processes in creating and adopting superior technologies, designing products highly desired by customers, and manufacturing to meet the demands greater than the production capability of any one member are common characteristics of CM organizations.

“Consortium marketing” has special strengths that this paper describes and explains. Creating inter‐firm structures to achieve marketing synergies is the core objective of CM. CM can be a very powerful structure for supply chains for achieving multiple synergies in innovating, designing, manufacturing, promoting, and/or delivering of products and services to their immediate customers and downstream customers.

Inter‐firm design and relationships need not be a given; firms participating in CM can innovate their inter‐firm relationships to achieve synergies that may be impossible to achieve otherwise. This paper is the first to offer this conclusion and describe its applicability within the high‐fashion Italian leatherwear industry.

The purpose of this paper is to examine the role of management exposure to external information sources, such as training sessions, plant visits, and conferences, in helping manufacturing organizations achieve lean goals.

A model is proposed highlighting the relationship between various key drivers of lean, external information sources, management commitment to lean, and lean thinking. To empirically test the model, 1,000 surveys were mailed to Canadian manufacturers with 109 usable surveys returned. Analyzing the data using partial least squares, the common sources of management information on lean and their effectiveness for lean improvements are discussed.

The final model confirms that management exposure to external information sources and commitment to lean both influence lean thinking within organizations. However, the direct relationship between external information sources and lean thinking is not supported. Instead, an indirect relationship exists, where increased exposure to sources of lean information, increases management commitment to lean, and ultimately the extent of lean thinking in the organization.

The practical implications of this research are that it will help manufacturing managers identify both organizational and environmental factors that may facilitate or inhibit the extensive use of lean in their organization, and the impact that their own understanding of lean and commitment to lean improvements will have on the overall success of a lean program.

The paper should help improve understanding of the differences in the extent of lean thinking between plants in the same company, organizations in the same industry, and organizations across industries.

This chapter describes a cyclical mentoring model that is designed to scaffold the use of video in a graduate literacy practicum for in-service teachers.

This chapter is organized by (1) an overview of the Literacy Practicum course and the three learning phases and activities within each phase; (2) a description of the mentoring process/procedures during each of the phases, and examples of their impact on teachers’ learning and practice; and (3) a discussion of implications for practice.

Drawing upon recent work in teacher inquiry and reflection, this model provides opportunities for teachers to take increasing ownership of their own professional growth.

The examples in this chapter are anecdotal. But they help to illustrate the processes and procedures in this model, which is described with great detail in order to be useful for pre- and in-service teachers, as well as school-based professional development programs.

The model can be effectively incorporated into both pre-service clinical settings as well as professional development with in-service teachers.

As a potential high impact tool, video analysis of teaching must not be viewed as an incidental approach; rather it must be an integral part of a learning cycle which is committed to student ownership and voice, social engagement, critical inquiry, reflection and integrative learning.