alliance networks
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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.


Author(s):  
Nadia Zahoor ◽  
Yong Kyu Lew

By integrating relational embeddedness in international strategic alliance networks (ISANs) and the dynamic capability perspective, this article presents an examination of the drivers of the post-entry internationalisation commitment of small- and medium-sized enterprises (SMEs). Specifically, we investigated the mediating effect of opportunity-sensing capabilities (OSCs) on the relationship between ISAN relational embeddedness and the post-entry internationalisation commitment of SMEs. We also examined the moderating impact of strategic adaptiveness on the relationship between OSCs and post-entry internationalisation commitment. An analysis of 320 UK-based SMEs, performed using structural equation modelling, revealed that OSCs are an important mechanism through which the ISAN relational embeddedness leads to increased post-entry internationalisation commitment. Furthermore, strategic adaptiveness strengthens the positive relationship between OSCs and post-entry commitment to foreign markets. This article extends the existing SME venturing and internationalisation literature to the domain of SME post-entry internationalisation commitment.


2021 ◽  
Vol 3 ◽  
Author(s):  
Jonathan Pinckney ◽  
John Joseph Chin

Do transnational social movement organizations (TSMOs) promote the international diffusion of democracy? If so, how? Scholars of democratization have studied a plethora of international factors in the spread of democracy, including geographic or regional proximity, colonial history, trade and alliance networks, and joint inter-governmental organization (IGO) memberships. Few have studied the role of TSMO networks in democratic diffusion. We theorize that TSMOs empower and connect civil societies and thus promote democracy from the “bottom up.” Leveraging a new TSMO Dataset and data on the dimensions of democracy from the Varieties of Democracy project over the 1953–2013 period, we find that TSMOs promote democratic diffusion. TSMOs are strongest at diffusing participatory democracy. TSMOs also contribute to the diffusion of electoral democracy but do so by promoting the diffusion of freedom of association and freedom of expression rather than elections.


2021 ◽  
Vol 9 ◽  
Author(s):  
Jun Hu ◽  
Chengbin Chu ◽  
Ling Xu ◽  
Peng Wu ◽  
Hui-jia Lia

The past years have witnessed increasingly widespread terrorism, violently destroying world peace and regional prosperity. Therefore, uncovering terrorist plots has become the most crucial step for eliminating terrorist attacks. However, with the terrorist scheme being disguised under the huge amount of data flow on the internet, identifying terrorist organizations still remains challenging. Since many terrorist organizations are prone to launch terrorist attacks together, here, we model their relationships as a Terrorist Organization Alliance (TOA) network and propose a novel method to identify the key terrorist organizations in the TOA network. The TOA network utilizes existing key nodes in order to extract useful information, and, with the help of the entropy weight method, the new solution to the TOA network is effective and precise. The experiments are performed on the dataset from the Global Terrorism Database, and the results are statistically validated through t-tests and convergence analysis. Compared with the traditional methods, our method is proven to be superior in terms of measure the harm of terrorist attack organizations and find the key terrorist organizations.


2021 ◽  
Author(s):  
Satoru Kikuchi ◽  
Kota Kodama ◽  
Shintaro Sengoku

BACKGROUND Digital health has been advancing owing to technological progress by means of smart devices and artificial intelligence, amongst other developments. In the field of diabetes, especially, there are many active use cases of digital technology supporting the treatment of diabetes and improving lifestyle. In the 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. While understanding and utilizing the network structure is important to increase the competitive advantage of companies, there is a lack of previous research describing the structure of alliance networks and the factors that lead to their formation in digital health. OBJECTIVE The aim of this study was to explore the significance of alliance networks, focusing on digital health for diabetes, in effectively implementing processes, from the Research and Development (R&D) of products and/or services to their launch and market penetration. METHODS First, we listed the companies and contracts related to the digital health for diabetes, visualized the change in the number of companies and the connections between companies in each industry, and analyzed the overview of the network. Second, we calculated the degree, betweenness centrality, and eigenvector centrality of each company in each year. Next, we analyzed the relationship between network centrality and market competitiveness by using annual sales as a parameter of company competitiveness. We also compared the network centrality of each company by industry and/or headquarters location and analyze the characteristics of companies with higher centrality. Finally, we analyzed the relationship between network centrality and the number of products certified or approved by the U.S. Food and Drug Administration (FDA). RESULTS We found the degree centrality of companies was correlated with an increase in their sales; The betweenness and eigenvector centrality of medical device companies located in the U.S. were significantly higher than those outside the U.S; Finally, the degree, betweenness and eigenvector centralities were correlated with an increase in the number of Class III, but not of Class I nor II medical device products. CONCLUSIONS These findings give rise to new insights on the industry ecosystem for digital health and its requirement and expect a contribution to R&D practices in the field of digital health.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Yan Zhao ◽  
Xiao Han ◽  
Xiaoran Yang ◽  
Zheng Li

R&D alliances and knowledge networks are vital to the innovation process. Based on the multilevel network approach, our study comprehensively investigates several knowledge attributes of interorganizational knowledge networks and explores how R&D alliance networks are relevant for the relationship between knowledge attributes and organizational innovation capability. Samples in our research include 86 cliques from 2010 to 2015 in five Chinese high-tech industries’ R&D alliance networks. Results from the negative binomial regression model show that different knowledge attributes show a distinct effect on organizational innovation capability, including linear relationship, inverted U-shaped curve relationship, and inverted S-shaped curve relationship. Besides, our results identify that the central position within R&D alliance networks plays a limited role in the relationship between knowledge attributes and organizational innovation capability. Our findings could be used to help organizations sort out their knowledge attributes of knowledge bases, come to understand the impact of the interaction between the interorganizational knowledge network and R&D alliance network on the organizational innovation capability, and then make a targeted strategy to carry out innovation activities.


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.


2021 ◽  
pp. 002200272110109
Author(s):  
Nazli Avdan ◽  
Mariya Omelicheva

Why do some militant organizations participate in human trafficking? We investigate this question by introducing a new dataset that records insurgent organizations’ involvement in four types of human trafficking: sexual exploitation, forced recruitment, slavery, and kidnapping. Marrying our data to the BAAD2I population of insurgent organizations, we uncover the organizational attributes related to human trafficking. We find that groups with wide alliance networks and territorial control are more likely to commit human trafficking. Organizations that are losing command of the territory and suffering rank-and-file losses are also more likely to turn to human trafficking. Our study sheds theoretical light on insurgent groups’ involvement in crime. It also contributes to the empirical scholarship on sexual violence by violent groups by studying different forms of human trafficking in both conflict and non-conflict environments. Our paper presents an original dataset and empirical analysis of insurgent groups’ human trafficking patterns.


Author(s):  
Emma M. Smith ◽  
Maria Luisa Toro Hernandez ◽  
Ikenna D. Ebuenyi ◽  
Elena V. Syurina ◽  
Giulia Barbareschi ◽  
...  

Background: The coronavirus disease 2019 (COVID-19) pandemic has impacted all segments of society, but it has posed particular challenges for the inclusion of persons with disabilities, those with chronic illness and older people regarding their participation in daily life. These groups often benefit from assistive technology (AT) and so it is important to understand how use of AT may be affected by or may help to mitigate the impacts of COVID-19. Objective: The objectives of this study were to explore the how AT use and provision have been affected during the initial stages of the COVID-19 pandemic, and how AT policies and systems may be made more resilient based on lessons learned during this global crisis. Methods: This study was a rapid, international online qualitative survey in the 6 United Nations (UN) languages (English, French, Spanish, Russian, Arabic, Mandarin Chinese) facilitated by extant World Health Organization (WHO) and International Disability Alliance networks. Themes and subthemes of the qualitative responses were identified using Braun and Clarke’s 6-phase analysis. Results: Four primary themes were identified in in the data: Disruption of Services, Insufficient Emergency Preparedness, Limitations in Existing Technology, and Inadequate Policies and Systems. Subthemes were identified within each theme, including subthemes related to developing resilience in AT systems, based on learning from the pandemic. Conclusion: COVID-19 has disrupted the delivery of AT services, primarily due to infection control measures resulting in lack of provider availability and diminished one-to-one services. This study identified a need for stronger user-centred development of funding policies and infrastructures that are more sustainable and resilient, best practices for remote service delivery, robust and accessible tools and systems, and increased capacity of clients, caregivers, and clinicians to respond to pandemic and other crisis situations.


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