scholarly journals An analysis of recent research on venture capital networks

2019 ◽  
Author(s):  
Salvatore Polizzi
Keyword(s):  
Venture Capital ◽  
Management Strategies ◽  
Research Network ◽  
Future Research ◽  
Venture Capitalists ◽  
Strategic Decisions ◽  
Organizational Network ◽  
Risk Management Strategies ◽  
Research Findings ◽  
Recent Trends

Purpose – this paper examines recent trends in venture capital network research. Network analysis is a useful approach for analyzing inter-organizational networks, especially for venture capitalists, which are characterized by plenty of connections. Although important steps ahead have been made, several research questions are still unanswered. Research methodology – this brief review analyses deeply three papers which are representative of the novel scientific literature in this field. Scrutinizing these works, I identify their points of strength and weaknesses, in order to understand how to pave the way for further research. Findings – this paper shows that the study of network weak ties and the role of risk management strategies are promising areas for pushing the frontiers of research on venture capital networks. Research limitations – although less recent papers are not considered in this analysis, the in-depth discussion of the latest research provides interesting insights and advice for scholars willing to do research on this field of studies. Practical implications – extending our knowledge on this topic is crucial for understanding the best strategic decisions venture capitalists should take when operating within an inter-organizational network. Originality/Value – this paper critically analyses steam of literature which is important from both scientific and managerial viewpoints. Furthermore, it poses questions to be addressed by future research.

scholarly journals Abalone Viral Ganglioneuritis

Pathogens ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 720
Author(s):  
Serge Corbeil
Keyword(s):  
Gene Expression ◽  
Diagnostic Tests ◽  
Management Strategies ◽  
Molecular Diagnostic ◽  
Economic Losses ◽  
Future Research ◽  
Abalone Species ◽  
Significant Research ◽  
Research Findings ◽  
Herpesvirus 1

Abalone viral ganglioneuritis (AVG), caused by Haliotid herpesvirus-1 (HaHV-1; previously called abalone herpesvirus), is a disease that has been responsible for extensive mortalities in wild and farmed abalone and has caused significant economic losses in Asia and Australia since outbreaks occurred in the early 2000s. Researchers from Taiwan, China, and Australia have conducted numerous studies encompassing HaHV-1 genome sequencing, development of molecular diagnostic tests, and evaluation of the susceptibility of various abalone species to AVG as well as studies of gene expression in abalone upon virus infection. This review presents a timeline of the most significant research findings on AVG and HaHV-1 as well as potential future research avenues to further understand this disease in order to develop better management strategies.

scholarly journals Exploring the frontiers of research co-production: the Integrated Knowledge Translation Research Network concept papers

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Ian D. Graham ◽  
Chris McCutcheon ◽  
Anita Kothari
Keyword(s):  
Knowledge Translation ◽  
Integrated Knowledge Translation ◽  
Research Network ◽  
Future Research ◽  
Academic Institutions ◽  
Translation Research ◽  
The Public ◽  
Network Concept ◽  
Research Findings ◽  
Integrated Knowledge

AbstractResearch co-production is about doing research with those who use it. This approach to research has been receiving increasing attention from research funders, academic institutions, researchers and even the public as a means of optimising the relevance, usefulness, usability and use of research findings, which together, the argument goes, produces greater and more timely impact. The papers in this cross BMC journal collection raise issues about research co-production that, to date, have not been fully considered and suggest areas for future research for advancing the science and practice of research co-production. These papers address some gaps in the literature, make connections between subfields and provide varied perspectives from researchers and knowledge users.

scholarly journals A Global Review of Farmers’ Perceptions of Agricultural Risks and Risk Management Strategies

Agriculture ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 10 ◽  
Author(s):  
Thi Tam Duong ◽  
Tom Brewer ◽  
Jo Luck ◽  
Kerstin Zander
Keyword(s):  
Risk Management ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
Management Strategies ◽  
Future Research ◽  
Agricultural Risk ◽  
Agricultural Enterprises ◽  
Pests And Diseases ◽  
Wide Range ◽  
Risk Management Strategies

Farmers around the world face and manage a wide range of enterprise-related risks. These risks are increasing due to a range of factors including globalisation, increased trade in agricultural products, and climate change, jeopardising agricultural enterprises and forcing farmers to adjust their production and management strategies. Here we present results of a systematic literature review, following PRISMA protocol, of farmers’ perceptions of, and responses to, agricultural risks. Using data reduction method (factor analysis) and descriptive statistics, we analysed 197 studies and found that weather-related risk (55%), biosecurity threats (48%), and human risk (35%) are the significant risks perceived by farmers for their agricultural enterprises. Diversification of crop and animal production (28%) and pests and diseases monitoring and prevention (20%) were the preferred agricultural risk management strategies employed by farmers. Few studies have investigated socio-economic factors that explain risk perceptions (18%) or factors that influence how farmers manage agricultural risks (11%). The main barriers to successfully managing agricultural risks were limited access to information and formal low-interest loan systems, especially in developing countries. We identified a mismatch between perceived risk sources and risk management strategies, highlighting a need to improve understanding of why particular management responses are employed to address the various risks. This review suggests areas for future research to improve understanding of the perceptions of risks held by farmers, and to support efforts to manage and reduce these risks.

scholarly journals Managing the Risks of On-Site Health Centers

AAOHN Journal ◽  
2011 ◽  
Vol 59 (11) ◽  
pp. 483-490 ◽  
Author(s):  
Kathleen M. Gorman ◽  
Ross M. Miller
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Indirect Costs ◽  
Outcome Data ◽  
Health Centers ◽  
Professional Organizations ◽  
Standards Of Care ◽  
Future Research ◽  
Risk Management Strategies ◽  
Criminal Charges

This review sought to assess compliance concerns, determine risk management strategies, and identify opportunities for future research to contribute to employers' understanding of the laws and regulations that apply to on-site care. A comprehensive review of databases, professional organizations' websites, and journals resulted in 22 publications reporting on the consequences of noncompliance among on-site health centers accepted for inclusion. None of those studies reported a study design or quantifiable outcome data. Two noncompliance themes were repeated among the publications. First, direct penalties included fines, civil actions, loss of licensure, and, potentially, criminal charges. Second, noncompliance also resulted in indirect costs such as employee mistrust and lowered standards of care, which jeopardize on-site health centers' ability to demonstrate a return on investment. Further research with rigorous methodology is needed to inform employer decisions about on-site health services and associated risk management.

scholarly journals Economic Sustainability and Multiple Risk Management Strategies: Examining Interlinked Decisions of Small American Farms

2021 ◽  
Vol 13 (4) ◽  
pp. 1741
Author(s):  
Sudip Adhikari ◽  
Aditya R. Khanal
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Economic Sustainability ◽  
Small Farms ◽  
Strategic Decisions ◽  
Multiple Factors ◽  
Risk Management Strategies ◽  
Land Holdings ◽  
Multivariate Probit Models ◽  
The Government

Economic viability of small farms and farming businesses depends on multiple factors. These farms have limited production and financial resources to maintain their operation. Therefore, to sustain farming, adopting appropriate risk management strategies is a pivotal decision for small farmers. We surveyed Tennessee’s small farms and utilized multivariate probit models to study factors influencing the adoption of various risk management strategies. Our findings suggest that the decisions related to the adoption of risk management strategies are significantly interlinked. Along with factors representing the operator’s age, education, and farm operator’s income and land holdings, we also found that the government incentives (payments), smartphones, and farmers’ continuation plan significantly influence the strategic decisions of adopting risk management strategies.

scholarly journals Predicting Consumer Reaction To Online Privacy Concerns: A Nested Logit Model

2013 ◽  
Vol 17 (2) ◽  
pp. 89
Author(s):  
Soumava Bandyopadhyay
Keyword(s):  
Logit Model ◽  
Choice Model ◽  
Management Strategies ◽  
Online Privacy ◽  
Future Research ◽  
Nested Logit ◽  
Online Information ◽  
Nested Logit Model ◽  
Risk Management Strategies ◽  
Managerial Implications

This paper proposes a theoretical choice model to explain how consumers may react to their concerns regarding online information privacy. A nested logit model is suggested as the appropriate model to predict the choice of online privacy risk management strategies by consumers. Conceptual justification is provided for the proposed model. The validity of the major assumptions behind the model in the context of Internet use is explained. Managerial implications and future research directions are also discussed.

The Assets Are Virtual but the Behavior Is Real: An Analysis of Fraud in Virtual Worlds and Its Implications for the Real World

2013 ◽  
Vol 27 (2) ◽  
pp. 131-158 ◽  
Author(s):  
William N. Dilla ◽  
Andrew J. Harrison ◽  
Brian E. Mennecke ◽  
Diane J. Janvrin
Keyword(s):  
Virtual Worlds ◽  
Real World ◽  
Virtual World ◽  
Management Strategies ◽  
Future Research ◽  
Record Keeping ◽  
Financial Gain ◽  
Diamond Model ◽  
Risk Management Strategies ◽  
Research Questions

ABSTRACT Virtual worlds are computer-generated, immersive environments where participants interact with others while engaging in social, entertainment, and economic endeavors. To illustrate how virtual worlds can be used to study fraud, we examine documented virtual world fraud cases using the “fraud diamond” model (Wolfe and Hermanson 2004). Our findings have real-world implications regarding the causes and prevention of fraud. They include: (1) perpetrator motivations often include non-monetary achievement and manipulation, as well as financial gain, (2) fraud victims tend to have misplaced trust and overestimate the capability of fraud prevention governance mechanisms, (3) participant-designed record-keeping systems may protect corporate assets from theft, and (4) virtual worlds may serve as a laboratory for evaluating risk management strategies. We also identify future research questions related to these issues. This research illustrates how parallels between fraudulent behaviors in virtual and real worlds can advance our understanding of fraud antecedents.

Explaining Study on Cooperative investment risk of Joint Venture Companies from an Economics of Organization Perspective

2020 ◽  
Vol 14 ◽  
Author(s):  
Hao Dai ◽  
Chaoqi Zhang ◽  
Xiaojing Yang
Keyword(s):  
Venture Capital ◽  
Joint Venture ◽  
Evolutionary Game ◽  
Dynamic Game ◽  
Investment Model ◽  
Future Research ◽  
Investment Risk ◽  
Game Model ◽  
Venture Capitalists ◽  
Research Topics

Background: Joint investment has increasingly become a popular investment method for venture capitalists. From the two traditional perspectives of investors and start-ups, research on Joint Venture Capital in the past 40 years has achieved rich results. Most recent literature is based on research from the perspective of organisational economics, which further advances the vertical development of research on Joint Venture Capital. Objective: The objective of this paper is to review research topics and core literature on Joint Venture Capital from the perspective of organisational economics, and through introducing the model of venture capitalists' ‘bounded rationality’ and evolutionary game in the joint investment risk analysis, this paper distinguishes the influence of the game model on the formation of joint investment. Finally, it reaches a conclusion and suggests a direction for future research. Method: This paper finds and reviews literature on joint venture capital and dynamic game model of joint investment risk is collated to reduce the actual risk assumed by each investor. Additionally, the paper summarises research topics and progress from the perspective of organisational economics to identify possible research directions for the future. Results: Based on the evolutionary game method for analysis of the model of joint investment, the following conclusion is drawn: the greater the heterogeneity of the participating entities, the smaller the unit conflict cost benefit and the greater the probability of successful joint venture investment. The joint investment operation mechanism will also be maintained in a long-term and stable manner. Conclusion: From the perspective of organisational economics, the latest research on Joint Venture Capital has extensively absorbed new research results of relevant disciplines. Consequently, Joint Venture Capital activities can be understood from a broader perspective and with new insights, which reflect complex and dynamic interaction and correlative dependence between network members. To establish a more successful joint investment model, the paper introduces a relatively novel evolutionary game method for analysis of the joint investment model.

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