scholarly journals Venture Capitalists’ Investment Criteria in Poland: Entrepreneurial Opportunities, Entrepreneurs, and Founding Teams

2020 ◽  
Vol 10 (4) ◽  
pp. 77
Author(s):  
Rafał Morawczyński
Keyword(s):  
Central And Eastern Europe ◽  
State Of The Art ◽  
Special Focus ◽  
Venture Capitalists ◽  
Face To Face ◽  
Entrepreneurial Opportunities ◽  
Single Person ◽  
Product Service ◽  
Conjoint Experiment ◽  
Art As Research

The aim of this article is to explore the decision-making policies by Polish Venture Capital (VC) firms, with special focus on the perception of entrepreneurs. This paper presents the results of a conjoint analysis and assessment of the importance of select characteristics among entrepreneurs and the qualities of a team of founders comprising managers of VC firms. The data were collected via face-to-face interviews with 26 Venture Capitalists. In the conjoint experiment, six attributes were presented, among which three represented characteristics of the entrepreneur (his/her passion and experience) and the management team (experience and completeness) alongside three characteristics of the opportunity (readiness of the product/service, growth rate of the market, and innovativeness of the whole project). VC managers ranked the importance of eight characteristics of the entrepreneurs related to their decisions and assessed the functional composition of the team of founders. The results of the experiment show that venture capitalists (VCs) most strongly appreciate the readiness of the product and entrepreneur’s passion. However, their preferences varied across the sample. The results of the ranking also show that the VC managers highly value the honesty of the entrepreneur. VCs typically prefer a team of founders, rather than a single-person project, preferably consisting of persons at least familiar with the technology and the market. This study contributes significantly to the state-of-the-art, as research on VC investment policy (investment criteria) is relatively rare in Central and Eastern Europe, where the VC industry is starting to flourish.

Venture Capital in Transition Economies: The Case of Hungary

1997 ◽  
Vol 21 (4) ◽  
pp. 93-110 ◽  
Author(s):  
Judit Karsai ◽  
Mike Wright ◽  
Igor Filatotchev
Keyword(s):  
Venture Capital ◽  
Emerging Economies ◽  
Central And Eastern Europe ◽  
Secondary Data ◽  
Venture Capitalists ◽  
Face To Face ◽  
The Us ◽  
Price Earnings Ratio ◽  
Western Experience ◽  
Similarity And Difference

This paper examines the Hungarian venture capital industry, one of the most well-developed in the emerging economies of Central and Eastern Europe. Using a combination of secondary data, mail questionnaires, and face-to-face Interviews, the paper identifies areas of both similarity and difference with experience in developed capitalist economies. The need for venture capitalists to obtain control is found to be much stronger in Hungary than in the US. The relative importance of DCF and price/earnings ratio methods of valuation are reversed when Hungary and western experience are compared. There was evidence that Hungarian domestic venture capitalists engage in less detailed monitoring than either venture capitalists elsewhere or foreign-based venture capitalists operating in Hungary.

State-of-the-art of design, evaluation, and operation methodologies in product service systems

2016 ◽  
Vol 77 ◽  
pp. 1-14 ◽  
Author(s):  
Min Qu ◽  
Suihuai Yu ◽  
Dengkai Chen ◽  
Jianjie Chu ◽  
Baozhen Tian
Keyword(s):  
State Of The Art ◽  
Service Systems ◽  
Design Evaluation ◽  
Product Service ◽  
Product Service Systems

Condition Monitoring of Ship Propulsion Systems: State-of-the-Art, Development Trend and Role of Digital Twin

2021 ◽  
Author(s):  
Amir R. Nejad ◽  
Etienne Purcell ◽  
Mostafa Valavi ◽  
Roman Hudak ◽  
Benjamin Lehmann ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Performance Monitoring ◽  
State Of The Art ◽  
Development Trend ◽  
The Arctic ◽  
Special Focus ◽  
Shipping Industry ◽  
Propulsion Systems ◽  
Digital Twin ◽  
Ship Propulsion

Abstract This paper describes the current implementations and development trends of condition monitoring as it pertains to ship propulsion systems. In terms of total incidents in the shipping industry in the last five years, failures relating to the propulsion system represent the majority. Condition monitoring offers effective early detection of failure which translates to increased reliability and decreased maintenance costs. Current industrial practices are often limited to performance monitoring rather than condition monitoring. Special focus is afforded to how condition monitoring is implemented on board ships, which regulatory codes are relevant and the summary of state-of-the-art research in marine machinery. Moreover, operation and monitoring in extreme environmental conditions, such as the Arctic and Antarctic with ice impact on the propulsion has been discussed. The new developments, in particular, digital twin approaches in health and condition monitoring have been highlighted, considering its pros and cons and potential challenges.

scholarly journals Towards a Lean Product Service Systems (PSS) Design: State of the Art, Opportunities and Challenges

Procedia CIRP ◽  
2015 ◽  
Vol 30 ◽  
pp. 191-196 ◽  
Author(s):  
Claudio Sassanelli ◽  
Giuditta Pezzotta ◽  
Monica Rossi ◽  
Sergio Terzi ◽  
Sergio Cavalieri
Keyword(s):  
State Of The Art ◽  
Service Systems ◽  
Product Service ◽  
Product Service Systems

scholarly journals Shaping the post-COVID-19 "New Normal" with Communication and Collaboration Platforms: state of the art communications for radiology, oncology, MDTs and beyond

BJR|Open ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 20200038
Author(s):  
Robert James Johnson ◽  
Paula Wilson ◽  
Jon Hughes
Keyword(s):  
State Of The Art ◽  
It Infrastructure ◽  
Delivery Of Healthcare ◽  
New Normal ◽  
Face To Face ◽  
It Systems ◽  
Communication Practices ◽  
Collaboration Platforms ◽  
Screen Sharing

The COVID-19 pandemic has driven the use of digital communications to unprecedented levels across society whilst the NHS struggles with non-compatible IT systems that are often outdated and inhibit effective communication. MDTs use teleconferencing but the IT infrastructure does not permit clinicians to readily discuss cases and collaboratively review imaging outside of formal meetings if not on the same site and face-to-face. NHS radiology home reporting was not widely in place at the outbreak of the pandemic. Paper records persist further inhibiting remote working. Email has degraded the quality of written communication leading to suggestions of a ‘broken’ email culture. Despite NHS policy ambitions to address radiologist under capacity with increased networking and collaboration between providers the IT infrastructure has proven inadequate. Modern Communication and Collaboration Platforms have functionality that cuts across the non-compatible IT restrictions with screen sharing a key enabler. By engaging with these platforms radiologists and oncologists have a once-in-a-lifetime opportunity to shape the ‘new normal’ of delivery of healthcare with superior quality communication practices exceeding those in place at the outbreak of the pandemic.

Modelling Nitrogen Deposition on a Local Scale—A Review of the Current State of the Art

2006 ◽  
Vol 3 (5) ◽  
pp. 317 ◽  
Author(s):  
Ole Hertel ◽  
Carsten Ambelas Skjøth ◽  
Per Løfstrøm ◽  
Camilla Geels ◽  
Lise Marie Frohn ◽  
...  
Keyword(s):  
Nitrogen Deposition ◽  
Environmental Assessment ◽  
State Of The Art ◽  
N Deposition ◽  
Model Systems ◽  
Special Focus ◽  
Ammonia Emissions ◽  
High Nitrogen ◽  
Current State ◽  
The Impact

Abstract. Local ammonia emissions from agricultural activities are often associated with high nitrogen deposition in the close vicinity of the sources. High nitrogen (N) inputs may significantly affect the local ecosystems. Over a longer term, high loads may change the composition of the ecosystems, leading to a general decrease in local biodiversity. In Europe there is currently a significant focus on the impact of atmospheric N load on local ecosystems among environmental managers and policy makers. Model tools designed for application in N deposition assessment and aimed for use in the regulation of anthropogenic nitrogen emissions are, therefore, under development in many European countries. The aim of this paper is to present a review of the current understanding and modelling parameterizations of atmospheric N deposition. A special focus is on the development of operational tools for use in environmental assessment and regulation related to agricultural ammonia emissions. For the often large number of environmental impact assessments needed to be carried out by local environmental managers there is, furthermore, a need for simple and fast model systems. These systems must capture the most important aspects of dispersion and deposition of N in the nearby environment of farms with animal production. The paper includes a discussion on the demands on the models applied in environmental assessment and regulation and how these demands are fulfilled in current state-of-the-art models.

scholarly journals Conducting High Impact Research With Limited Financial Resources (While Working from Home)

2020 ◽  
Vol 4 ◽  
Author(s):  
Paul Hanel
Keyword(s):  
Expert Knowledge ◽  
State Of The Art ◽  
Secondary Data ◽  
High Impact ◽  
Financial Resources ◽  
Budget Cuts ◽  
High Quality Research ◽  
Face To Face ◽  
Writing Tutorials ◽  
Meta Analyses

The Covid-19 pandemic has far-reaching implications for researchers. For example, many researchers cannot access their labs anymore and are hit by budget-cuts from their institutions. Luckily, there are a range of ways how high-quality research can be conducted without funding and face-to-face interactions. In the present paper, I discuss nine such possibilities, including meta-analyses, secondary data analyses, web-scraping, scientometrics, or sharing one’s expert knowledge (e.g., writing tutorials). Most of these possibilities can be done from home, as they require only access to a computer, the internet, and time; but no state-of-the art equipment or funding to pay for participants. Thus, they are particularly relevant for researchers with limited financial resources beyond pandemics and quarantines.

scholarly journals 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network

2020 ◽  
Vol 34 (07) ◽  
pp. 12329-12337
Author(s):  
Yi Wei ◽  
Wenbo Li ◽  
Yanbo Fan ◽  
Linghan Xu ◽  
Ming-Ching Chang ◽  
...  
Keyword(s):  
Real World ◽  
State Of The Art ◽  
Feature Representation ◽  
Activity Detection ◽  
Activity Class ◽  
Single Person ◽  
Class Level ◽  
Public Dataset ◽  
3D Skeleton ◽  
Art Performance

We aim to detect real-world concurrent activities performed by a single person from a streaming 3D skeleton sequence. Different from most existing works that deal with concurrent activities performed by multiple persons that are seldom correlated, we focus on concurrent activities that are spatio-temporally or causally correlated and performed by a single person. For the sake of generalization, we propose an approach based on a decompositional design to learn a dedicated feature representation for each activity class. To address the scalability issue, we further extend the class-level decompositional design to the postural-primitive level, such that each class-wise representation does not need to be extracted by independent backbones, but through a dedicated weighted aggregation of a shared pool of postural primitives. There are multiple interdependent instances deriving from each decomposition. Thus, we propose Stacked Relation Networks (SRN), with a specialized relation network for each decomposition, so as to enhance the expressiveness of instance-wise representations via the inter-instance relationship modeling. SRN achieves state-of-the-art performance on a public dataset and a newly collected dataset. The relation weights within SRN are interpretable among the activity contexts. The new dataset and code are available at https://github.com/weiyi1991/UA_Concurrent/

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