An Empirical Investigation of Dual Network Effects in Innovation Project Development

As innovation project developers advance their knowledge through more project experience, cross-project learning is likely to enhance project performance. Past research has demonstrated positive contributions of developer networking at the macro (project) level. However, the network effects at the micro (project property) level have not been studied as much. To address this gap, we apply a network model to examine which project properties (e.g., the project's operating system and topic) generate positive or negative network effects in addition to the macro network effect when developers engage in multiple projects. In this dual (developer and property) network model, we theorize that positive network effects take place because of cross-project learning and knowledge exchange, whereas negative network effects can also occur due to time constraints and cognitive overloading. In addition to such dual network effects, we also consider such project success predictors as spatial and temporal reach opportunities for project users (scope of translations and project age) and human resources availability (developer team size). Our empirical application using open source software (OSS) data demonstrates that the presented model can effectively integrate both the dual network effects and non-network variables as factors influencing the commercial success of OSS projects.     

Estimating JP Morgan Chase's Profits From the Madoff Deposits

JP Morgan Chase had deposits from Bernard L. Madoff's investors totaling $5.5 billion at one point in 2008. The Chase account was supposedly where most of the funds in his Ponzi scheme were deposited. Any large deposit can be a considerable source of profit to a bank. Assuming that the deposits returned the bank's net interest margin and grew at a random geometric rate, this article estimates that JP Morgan Chase generated $435 million in after‐tax profits from this very large account over the course of 16 years. With JP Morgan Chase the target of pending lawsuits relating to the Madoff fraud, this article's methodology and results may be of interest to litigants, prosecutors, journalists, and academics.     

Network evolution and the embedding of complex technical solutions: The case of the Leaf House network

The purpose of this paper is to investigate the connection between network evolution and technology embedding. To this end, we performed an exploratory case study of the network surrounding an eco-sustainable technology, Leaf House, Italy's first zero-carbon emission house. We apply theories on technological development within industrial networks, with a specific focus on their resource layer and on the three settings involved in embedding an innovation: “developing”, “producing”, and “using”. Our results contribute to these theories by developing four propositions on the connections between network evolution and embedding: first, technology embedding entails both downstream network expansion and upstream restrictions. Secondly, conflicts among actors increase as technology embedding approaches the producing and using settings. Third and fourth, the more the shapes a technology can assume, and the more each of these shapes involves actors acting in different settings, the easier it is to embed it. The paper concludes with managerial implications and suggestions for further research.     

Building capabilities to manage strategic alliances

Recently, academics have attributed a large part of alliance success to a firm's ability to successfully manage its alliances, also called its level of alliance management capability. We contribute to this growing body of literature by (1) verifying the impact of alliance management capability on alliance performance and (2) analyzing the drivers of alliance management capability. We measure this capability through four types of alliance learning processes and study how each of these processes affects alliance outcome. Furthermore, we take into account several possible drivers of alliance management capability such as organizational culture, commitment of the top team, alliance experience and the alliance function. We refine the results by examining how these factors affect each of the four learning processes underpinning alliance management capability. Our research model will be tested on a sample of 189 Belgian companies using PLS. We find that the commitment of the top management team is the most critical factor in explaining success with alliances.     

Export intensity and marketing in transition economies: Evidence from China

Firms in transition economies face a common adaptation problem of having to compete within increasingly marketized environments. This creates a need for managers to learn skills associated with marketing, such as those pertaining to the development of new and better products. Although distance is usually a barrier to learning, we propose that in exchange situations involving transition economy firms, the benefits of long-distance trade may outweigh the costs of knowledge acquisition. We find support for this proposition in this study by establishing a link between the export intensity of Chinese exporters and their acquisition of marketing know-how. We also find evidence that the marketing knowledge of transition economy firms has a positive effect on overall performance.     

Making sense of a market information system for superior performance: The roles of organizational responsiveness and innovation strategy

This article conceptualizes the relationships among strategic resources, strategic actions, and consequent performance by incorporating the strategic sense-making perspective into the resource-based view. Specifically, the study suggests that the firm can use both market-driven strategic actions such as organizational responsiveness and market-driving strategic actions such as innovation strategy to make sense of strategic resources such as a market information system. The firm can then translate the strategic resources into a competitive marketing advantage, which leads in turn to superior financial performance. The study tests this framework by surveying 180 manufacturing firms in China. The empirical results support the theoretical framework.     

Organisational, technical and data quality factors in CRM adoption — SMEs perspective

Like large organisations, many Small and Medium-sized Enterprises (SMEs) have implemented Customer Relationship Management (CRM), so that they can compete effectively in today's highly changeable economic and market climate. However, studies indicate that there are mixed results as to how successful SMEs have been in adopting CRM solutions. It is also reported in the literature that CRM implementation is influenced by issues that relate to organisational, technical and data quality factors. To this end, there is limited research conducted in this area which mainly focuses on including these dimension in the evaluation of factors that influence CRM adoption in the SME sector. In seeking to address this issue, this research uses an investigative study aimed at identifying the organisational, technical and data quality related factors influencing CRM adoption by SMEs. This will enhance the quality of the evaluation process, and help support SME decision makers in exploring the implications surrounding CRM adoption. The findings of this study confirm that factors affecting the adoption of CRM in SMEs are largely similar to the factors affecting CRM adoption in previously studied other types of organisations.     

Global customer team design: Dimensions, determinants, and performance outcomes

Designing and implementing global customer teams (GCTs) represents a key task for suppliers that are expanding the scope of their customer relationships. However, research has not provided an explanation of how these teams function and what determines their performance. Using an interdisciplinary combination of concepts from customer management and organizational behavior research streams, we develop an integrative framework of GCT design and performance. The framework is conceptualized with qualitative interview data and validated with survey data from 273 members of 113 GCTs in six multinational companies. Our results indicate that team performance is influenced directly by three team processes: communication and collaboration, conflict management, and proactiveness. Team design in terms of goal and role definition, customer coverage, empowerment, heterogeneity, skills adequacy, and leadership indirectly influences performance, mediated by team processes. In addition, three factors of the organizational environment—top management support, rewards and incentives, and training—have similar indirect effects.