A model for dynamic alliance networks

2020 ◽  
Vol 27 (4) ◽  
pp. 280-293
Author(s):  
Abdussalam Ali ◽  
Igo Hawryszkiewycz
Author(s):  
Jakub J. Grygiel ◽  
A. Wess Mitchell ◽  
Jakub J. Grygiel ◽  
A. Wess Mitchell

From the Baltic to the South China Sea, newly assertive authoritarian states sense an opportunity to resurrect old empires or build new ones at America's expense. Hoping that U.S. decline is real, nations such as Russia, Iran, and China are testing Washington's resolve by targeting vulnerable allies at the frontiers of American power. This book explains why the United States needs a new grand strategy that uses strong frontier alliance networks to raise the costs of military aggression in the new century. The book describes the aggressive methods which rival nations are using to test American power in strategically critical regions throughout the world. It shows how rising and revisionist powers are putting pressure on our frontier allies—countries like Poland, Israel, and Taiwan—to gauge our leaders' commitment to upholding the American-led global order. To cope with these dangerous dynamics, nervous U.S. allies are diversifying their national-security “menu cards” by beefing up their militaries or even aligning with their aggressors. The book reveals how numerous would-be great powers use an arsenal of asymmetric techniques to probe and sift American strength across several regions simultaneously, and how rivals and allies alike are learning from America's management of increasingly interlinked global crises to hone effective strategies of their own. The book demonstrates why the United States must strengthen the international order that has provided greater benefits to the world than any in history.


2021 ◽  
Vol 13 (9) ◽  
pp. 4839
Author(s):  
Satoru Kikuchi ◽  
Kota Kadama ◽  
Shintaro Sengoku

In recent years, technological progress in smart devices and artificial intelligence has also led to advancements in digital health. Digital health tools are especially prevalent in diabetes treatment and improving lifestyle. In digital health’s innovation ecosystem, new alliance networks are formed not only by medical device companies and pharmaceutical companies but also by information and communications technology (ICT) companies and start-ups. Therefore, while focusing on digital health for diabetes, this study explored the characteristics of companies with high network centralities. Our analysis of the changes in degree, betweenness, and eigenvector centralities of the sample companies from 2011 to 2020 found drastic changes in the company rankings of those with high network centrality during this period. Accordingly, the following eight companies were identified and investigated as the top-ranking technology sector companies: IBM Watson Health, Glooko, DarioHealth, Welldoc, OneDrop, Fitbit, Voluntis, and Noom. Lastly, we characterized these cases into three business models: (i) intermediary model, (ii) substitute model, and (iii) direct-to-consumer model, and we analyzed their customer value.


Author(s):  
Renata Maria de Almeida Bastos Gomes ◽  
Fabio de Oliveira Paula ◽  
T. Diana L. van Aduard de Macedo-Soares

Purpose The shopping center (SC) industry in emerging countries has grown fast over the past decade; however, recently, it is showing signs of slowing down. Nevertheless, some SC-companies perform well. As those firms operate in alliance networks, relational opportunities and risks should be considered in their strategic analyses. Although there is a significant amount of research on SC from a marketing perspective, there is a dearth of research on strategic alliances from an SC management perspective. This paper aims at answering the following question: How do characteristics of the alliance networks of leading SC-companies contribute to their success by mitigating the structural threats the SC-industry in Brazil is facing? Design The case study method was adopted for analyzing two leading Brazilian SC-companies. Several data sources were used to allow for data triangulation. The lack of literature on strategic alliances and the SC-industry, as well as the research’s exploratory nature, justified this choice. Findings The research made evident that the SC-companies’ alliance network characteristics not only mitigate some of the structural industry threats but also enhance opportunities. It illustrated how firms can conduct a strategic analysis from a network perspective with the right tools. It also made evident how much more accurate the results of a comprehensive relational analysis are compared with traditional analyses that do not consider the strategic implications of relational factors. Practical implications The research contributed to SC management by highlighting the importance of taking into account the network characteristics of their relationships with key partners and of considering these as alliances and not merely contractual arrangements. Originality/value There is a dearth of research on the strategic implications of alliances of firms that own and manage a portfolio of SCs, as well as of their relationships with other actors in the industry, such as retailers and real estate owners, from a network perspective.


2015 ◽  
Vol 21 (5) ◽  
pp. 614-626 ◽  
Author(s):  
Woojin Yoon ◽  
Diane Y. Lee ◽  
Jaeyong Song

AbstractThis paper investigates the effects on knowledge creation of network size and partner diversity formed through alliance relationships. These effects are tested empirically in the biotech industry setting, which is representative of industries that emphasize external collaboration. Using patent count as a proxy of knowledge creation, Poisson regression was employed to test our predictions empirically. The statistical results show an inverted U-shaped relationship between network size and knowledge creation. In addition, a negative relationship was observed between partner diversity and knowledge creation. This research suggests that small biotech firms should strive to achieve a balanced network size. Knowledge creation is better promoted in these firms through alliances with firms of similar organizational type. The value of this research lies in the fact that it provides new insight into properties of alliance networks by highlighting potentially negative consequences of having an oversized alliance network and partner diversity.


Author(s):  
Forough Zarea Fazlelahi ◽  
J. Henri Burgers ◽  
Martin Obschonka ◽  
Per Davidsson

Abstract Spinoff firms are a common phenomenon in entrepreneurship where employees leave incumbent parent firms to found their own. Like other types of new firms, such new spinoffs face liabilities of newness and smallness. Previous research has emphasised the role of the initial endowments from their parent firm to overcome such liabilities. In this study, we argue and are the first to show, that, in addition to such endowments, growing an alliance network with firms other than their parents’ is also critical for spinoff performance. Specifically, we investigate the performance effect of alliance network growth in newly founded spinoffs using a longitudinal sample of 248 spinoffs and 3370 strategic alliances in the mining industry. Drawing on theory based on the resource adjustment costs of forming alliances, we posit and find a U-shaped relationship between the alliance network growth and spinoff performance, above and beyond the parent firm’s influence. We further hypothesise and find that performance effects become stronger with increased time lags between alliance network growth and spinoff performance, and when spinoffs delay growing their alliance networks. Implications for theory and practice are discussed.


Sign in / Sign up

Export Citation Format

Share Document