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Innovation is an increasingly distributed process, involving networks of geographically dispersed players with a variety of possible, and dynamic, value chain configurations (Fraser, Minshall, & Probert, 2005). ‘Open innovation’ is one term that has emerged to describe ‘[…] the use of purposive inflows and outflows of knowledge to accelerate internal innovation, and expand the markets for external use of innovation, respectively’ (Chesbrough, Vanhaverbeke, & West, 2006). This is contrasted with the ‘closed’ model of innovation where firms typically generate their own ideas which they then develop, produce, market, distribute and support.

Purpose – The purpose of this chapter is to illustrate the importance of using open source technologies and common standards for interoperability when implementing eHealth systems, and to illustrate this through case studies, where possible.

Design/methodology/approach – The sources used to inform this chapter draw from the implementation and evaluation of the eHealth Program in the context of the Millennium Villages Project (MVP).

Findings – As the eHealth Team was tasked to deploy an eHealth architecture, the Millennium Villages Global-Network (MVG-Net), across all 14 of the MVP sites in sub-Saharan Africa, the team not only recognized the need for standards and uniformity but also realized that context would be an important factor. Therefore, the team decided to utilize open source solutions.

Practical implications – The MVP implementation of MVG-Net provides a model for those looking to implement informatics solutions across disciplines and countries. Furthermore, there are valuable lessons learned that the eHealth community can benefit from.

Originality/value – By sharing lessons learned and developing an accessible, open source eHealth platform, we believe that we can more efficiently and rapidly achieve the health-related and collaborative Millennium Development Goals.

Traditionally, the main goal of empirical research has been to test theories. Yet, theory-testing is problematical in the social sciences. Findings from empirical studies have proven hard to replicate and there is a lack of progress in creating a coherent and cumulative knowledge base. There are both practical and epistemological issues that prevent effective empirical tests. It is difficult to operationalize constructs and design decisive tests of theories. The laws and regularities posited in theories in the natural sciences are independent of human actors, while theories in the social sciences describe systems and structures that are created and maintained by human actors. Nonetheless, human actors are sometimes guided by theories. They may change their behavior or make different decisions based on academically produced knowledge. This relationship is usually mediated by the use of tools of various sorts (i.e., design principles, diagrams, or stories). I discuss why scholars should conduct empirical research to test the pragmatic validity of tools that are derived from theories rather than testing the scientific validity of the theories themselves.

In this chapter, the authors undertake a systematic review of the literature to identify research exploring the use of new information and communication technologies (ICT). New ICT include the use of the Internet, mobile communications, and social technologies. The authors find that while interest in the area is increasing, especially among marketing and information systems scholars, there seems to be far less research interest among international business (IB) and strategy scholars. This chapter provides a summary of the research that has been done and discusses some potential future research areas that IB and strategy researchers might wish to pursue. Among these projects are investigating the use of ICT as a tool to aid the internationalization process, improve location choice and entry mode decisions, and identify and create a sustainable competitive advantage. The use of ICT in business is pervasive; As research scholars, we need to build these technologies into our theories and research to help managers determine what works and where certain technologies can help create better performing firms.

This chapter asks how we can understand the managerial practices in open innovation, a recently popularized way of organizing innovative work. Open innovation implies opening up the borders of the organization, creating a context where conventional steering and managerial tools no longer apply. Utilizing a collaborative research approach, following an open innovation collaboration over 8 years, this chapter outlines the managerial practices that direct the collaboration. These practices are important for meaning making and identity creation in the collaboration and can be understood as a form of authorship, a continuous intervention strategy to manage, develop and change the organizational context.

Firms tend to transfer more knowledge in technology joint ventures compared to contractual technology agreements. Using insights from new institutional economics, this chapter explores to what extent the alliance governance association with interfirm knowledge transfer is sensitive to an evolving industry norm of collaboration connected to the logic of open innovation. The chapter examines 1,888 dyad-year observations on firms engaged in technology alliances in the U.S. information technology industry during 1980–1999. Using fixed effects linear models, it analyzes longitudinal changes in the alliance governance association with interfirm knowledge transfer, and how such changes vary in magnitude across bilateral versus multipartner alliances, and across computers, telecommunications equipment, software, and microelectronics subsectors. Increases in industry-level alliance activity during 1980–1999 improved the knowledge transfer performance of contractual technology agreements relative to more hierarchical equity joint ventures. This effect was concentrated in bilateral rather than multipartner alliances, and in the software and microelectronics rather than computers and telecommunications equipment subsectors. Therefore, an evolving industry norm of collaboration may sometimes make more arms-length governance of a technology alliance a credible substitute for equity ownership, which can reduce the costs of interfirm R&D. Overall, the chapter shows that the performance of material practices that constitute innovation ecosystems, such as interfirm technology alliances, may differ over time subject to prevailing institutional norms of open innovation. This finding generates novel implications for the literatures on alliances, open innovation, and innovation ecosystems.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.