Search results

Prior research into multinational enterprises’ (MNEs) entrepreneurial initiatives has drawn from various theoretical bases, including entrepreneurial cognition, knowledge-based view, and management control theory. Empirical studies and cases have consistently pointed to the temporal dimension, highlighting the dynamic elements of learning, capability development and evolution, and consequences of conflict. By incorporating theory on time use into the analysis, we develop a new theoretical insight regarding the temporal dimension of MNE entrepreneurial initiatives. Our analysis offers a basis for a more explicit focus on time use in studies of entrepreneurial initiatives in MNEs than has been offered to date. Implications for research and practice are discussed.

In this chapter, we examine and expand institutional theory. While acknowledging that actors and organizations interrelate in an institutional (legal, political and socio-economic) framework and that this interaction between them shapes economic activities (North, 1990; Scott, 1995), we argue that the boundaries of today's institutional environments have significantly evolved. They encompass not only the traditional domains of micro (individual/organization) and macro (nation-state) levels as well as of a co-located physical environment captured by received institutional theory but also an added dimension that transcends physical space. This new dimension includes a dispersed, borderless environment that invisibly cuts across nation-states. We discuss the implications of this extended view of institutional domains for theory and practice.

We use experiential learning theory to develop new conceptual insights into offshore outsourcing of innovation. In particular, we show how offshore vendor firms are able to overcome liability of outsidership and eventually learn how to innovate on behalf of their onshore clients as a result of their embedment with clients across multiple teams. We theorize that the cross-border relocation of innovative activities from a client firm to an offshore vendor is only possible when teams within the vendor team have assumed a double-loop learning capability from the client allowing them to determine governing variables relating to the client’s organizational environment. Through direct on-the-job experience working with each other, international teams comprised in part from the vendor and in part from the client can undergo different learning transitions, which we classify as either relationship-oriented or task-oriented. These transitions determine the extent to which double-loop learning can be developed in offshore locations and are influenced by intra-team dynamics and the way the joint teams organize and manage themselves. Our perspective has implications for our understanding of organizational designs associated with both client and vendor multinational enterprises seeking to benefit from innovation in offshore outsourcing.

US Navy warships are capital-intensive national defense assets that require periodic depot and intermediate level maintenance availabilities (periods). Oftentimes, ship maintenance is deferred or forgone altogether due to geopolitical strife or fiscal challenges. The impacts of missed maintenance are not only a burden on ships’ crews, but they also have a deleterious effect on current and future readiness. It is a difficult task to strike a balance between current and future readiness when insufficient resources are available to sustain a fleet of warships. This paper draws from multi-attribute utility theory (MAUT) to develop a ship maintenance decision-making model that considers attributes from the current and life cycle readiness cohorts. Using the current maintenance plans for two DDG 51-class ships entering availabilities in same fiscal year, this model determines which ship is more capable of absorbing a loss of maintenance and planned modernizations relative to the context of the decision environment. Five attributes are considered for the overall decision: mandatory maintenance, non-mandatory maintenance, mission impact from maintenance, mission impact from planned modernizations, and maintenance backlog. The model presented here is generalizable to a number of U.S. Navy ships and watercraft and can be used to inform decision-makers of the short- and long-term impacts of deferring critical maintenance.

Jagdish N. Bhagwati is professor of economics and law at Columbia University and one of the most prolific scholars on globalization. He has a BA in economics from Cambridge and a PhD in economics from the Massachusetts Institute of Technology. He has served as an external advisor to the director general of the World Trade Organization, as a special policy advisor on globalization to the United Nations, and as an economics policy advisor to the director general of the General Agreement on Tariffs and Trade. Before moving to Columbia University he was professor at the Massachusetts Institute of Technology. Professor Bhagwati currently serves on the Academic Advisory Board of Human Rights Watch (Asia) and on the board of scholars of the Centre for Civil Society. He is senior fellow of the Council on Foreign Relations.