Exploring preconditions for open innovation: Value networks in industrial firms

The open innovation model embraces the purposive flow of internal and external ideas as a foundation for innovation and network formation. While the open innovation paradigm has been successfully applied in high-tech settings, there is a lack of research on adopters of open innovation in other settings. We describe a case study conducted in a process industry setting, focusing on the LKAB mineral group as it makes a transition from a closed to a more open innovation context by adopting remote diagnostics technology. This process has resulted in the creation of new value networks. By tracing the reasoning behind the organizational transformation and studying the technology used to carry it through, we seek to explore the preconditions for open innovation and provide insight into the role of IT in the process. Our findings show that adoption of the open innovation model is grounded in developing organizational environments that are conducive to innovation, including expertise in creating a culture for knowledge sharing, building a trustful environment, and a resourceful use of IT.     

From disruptions to struggles: Theorizing power in ERP implementation projects

Enterprise resource planning (ERP) implementation projects often fail to achieve their objectives. These often problematic projects are frequently the setting for intense and growing power struggles. Existing studies (e.g., Boonstra, 2006; Shepherd, Clegg, & Stride, 2009) have provided researchers with insights about issues of power in these projects. However, existing research has yet to provide a comprehensive picture of power in these projects or insights on how this picture changes with the passage of time. Clegg's (1989) circuits of power framework provides a useful tool for developing this needed comprehensive picture. We use the circuits of power framework as a tool for categorizing existing literature on power in ERP implementations. More importantly, we draw on this framework to provide a comprehensive view of power in the particular context of these projects. Specifically, we analyze the power relations during the implementation of an ERP in an organization. We do so by identifying how disturbances to the circuits of power – power struggles – arise and intensify during the implementation of the ERP. In this way, our work makes both a theoretical and an empirical contribution to the study of power in ERP implementation projects.     

Ownership Unbundling in Electricity Distribution: Empirical Evidence from New Zealand

New Zealand is the only country to date to have implemented forced ownership unbundling of electricity distribution from the rest of the electricity supply industry (in 1998). This paper examines the impact of this policy on electricity prices, quality of service and costs. We find that ownership unbundling did not achieve its objectives of facilitating greater competition in the electricity supply industry but that it did lead to lower costs and higher quality of service. We suggest that this experience indicates the potential benefits of ownership unbundling in Europe but also the danger of unintended consequences.     

The effects of ownership concentration and corporate debt on corporate divestitures in Chinese listed firms

This study examines how ownership concentration and corporate debt impact corporate divestitures in China. Corporate divestitures reduce the asset base of a company and the opportunity for expropriation by majority shareholders. In emerging economies, weak legal institutions, combined with equity ownership concentration and high corporate debt, allow majority shareholders to avoid such disciplines. Consequently, the relationship between these governance mechanisms and divestiture activity exhibits a pattern that is different from that in developed economies. Using archival data collected from 1,210 Chinese listed companies during 1999–2003, we found that ownership concentration by the largest shareholder depressed corporate divestitures both in state-controlled and in non-state-controlled firms. The negative effect of corporate debt on divestitures only existed for state-controlled firms. Our finding provides corroborating evidence for principal–principal conflicts in emerging economies. It suggests that corporate strategy in these countries can be better explained by taking into account the unique agency problems that are prevalent in these economies.     

Behind M&;As in China and the United States: Networks,learning, and institutions

Few scholars would dispute the argument that mergers and acquisitions (M&As) are different in China and the United States, but we know little about how they differ. This article reports one of the first studies that systematically compares and contrasts how M&As differ in these two countries. While prior research on M&As tends to emphasize economic and financial explanations while treating firms as atomistic actors severed from their institutional and network relations, we develop a new theoretical framework based on relational, behavioral, and institutional perspectives. We not only consider firms as learning actors embedded in network relations, but also compare and contrast their M&A patterns between China and the United States, two distinctive institutional contexts. We find that both a firm’s structural hole position and its learning orientation (exploration/exploitation) in alliances have direct and joint impacts on subsequent M&As. Further, such impacts differ across the two countries, due to their institutional disparities.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Games with incomplete information: A simplified exposition with inventory management applications

In most existing literature in supply chain management it is assumed that the players possess complete information about the game, i.e., the players' payoff (objective) functions are assumed to be common knowledge. For static and dynamic games with complete information, the Nash equilibrium and subgame perfect equilibrium are the standard solution concepts, respectively. For static and dynamic games with incomplete information, the Bayesian Nash equilibrium and perfect Bayesian equilibrium, respectively, are used as solution concepts. After presenting a brief review of the static and dynamic games under complete information, the application of these two games in inventory management is illustrated by using a single-period stochastic inventory problem with two competing newsvendors. Next, we illustrate the Bayesian Nash and perfect Bayesian equilibrium solution concepts for the static and dynamic games under incomplete information with two competing newsvendors. The expository nature of our paper may help researchers in inventory/supply chain management gain easy access to the complicated notions related to the games played under incomplete information.