scholarly journals Measuring innovation: A state of the science review of existing approaches

2018 ◽  
Vol 14 (3) ◽  
pp. 409 ◽  
Author(s):  
Philipp Ter Haar
Keyword(s):  
Work Team ◽  
Comprehensive Overview ◽  
Individual Level ◽  
Process Indicators ◽  
Country Level ◽  
Key Characteristics ◽  
Definition Of ◽  
State Of The Science ◽  
Structured Approach ◽  
Level Of Analysis

Purpose: The level of innovation is essential for a company’s or country’s competitive advantage and the ways to measure innovation are manifold. The review aims to give an overview over the continuously growing body on approaches to measure innovation.Design/methodology/approach: A new definition of innovation measuring is proposed. Based on this definition a structured approach for researching the literature was applied. A selection of 30 advances is discussed and a 4-level-of-analysis-framework is applied to review the broad research on measuring innovation on individual, work team, company and country level.Findings: The narrative review shows that specific measuring frameworks exists for each level of analysis. Output oriented indicators can be found on all levels, they are complemented by potential enablers on country level, process indicators on company and project level and behavioural indicators on individual level. Approaches specifically focussing on work teams could not be found.Research limitations/implications: Further research is needed on specific advances on measuring innovation on work-team level.Practical implications: By discussing key characteristics of the reviewed studies, the analysis will help decision makers to choose a fitting approach and support researchers by identifying open fields of research. It is recommended to research on advances to measure innovation on work team level to close the existing gap.Originality/value: While influences on innovation are extensively discussed a comprehensive overview over the approaches to identify the effects of modifying these influences is missing. This paper intends to closes this gap.

Applying personalized medicine to adult severe asthma

2021 ◽  
Vol 42 (1) ◽  
pp. e8-e16 ◽  
Author(s):  
Angelica Tiotiu
Keyword(s):  
Personalized Medicine ◽  
Severe Asthma ◽  
Negative Impact ◽  
Target Therapy ◽  
Asthma Management ◽  
Future Research ◽  
Biologic Therapies ◽  
Eosinophilic Asthma ◽  
Definition Of ◽  
Structured Approach

Background: Severe asthma is a heterogeneous disease that consists of various phenotypes driven by different pathways. Associated with significant morbidity, an important negative impact on the quality of life of patients, and increased health care costs, severe asthma represents a challenge for the clinician. With the introduction of various antibodies that target type 2 inflammation (T2) pathways, severe asthma therapy is gradually moving to a personalized medicine approach. Objective: The purpose of this review was to emphasize the important role of personalized medicine in adult severe asthma management. Methods: An extensive research was conducted in medical literature data bases by applying terms such as “severe asthma” associated with “structured approach,” “comorbidities,” “biomarkers,” “phenotypes/endotypes,” and “biologic therapies.” Results: The management of severe asthma starts with a structured approach to confirm the diagnosis, assess the adherence to medications and identify confounding factors and comorbidities. The definition of phenotypes or endotypes (phenotypes defined by mechanisms and identified through biomarkers) is an important step toward the use of personalized medicine in asthma. Severe allergic and nonallergic eosinophilic asthma are two defined T2 phenotypes for which there are efficacious targeted biologic therapies currently available. Non-T2 phenotype remains to be characterized, and less efficient target therapy exists. Conclusion: Despite important progress in applying personalized medicine to severe asthma, especially in T2 inflammatory phenotypes, future research is needed to find valid biomarkers predictive for the response to available biologic therapies to develop more effective therapies in non-T2 phenotype.

Digital Economy: New Opportunities and Threats for the Development of the World Economy

2018 ◽  
Vol 11 (2) ◽  
pp. 18-26 ◽  
Author(s):  
I. A. Strelkova
Keyword(s):  
World Economy ◽  
Practical Experience ◽  
Business Environment ◽  
Digital Economy ◽  
The State ◽  
Market Exchange ◽  
Country Level ◽  
The World ◽  
Business Structures ◽  
Definition Of

The paper examines various approaches to the definition of the term «digital economy» in the scientific and business environment along with factors and forms of its development in different countries taking into account the specifics of the current stage of the Russian economy, which is a matter of particular importance in seeking new sources of the world economy growth. The subject of the research is opportunities and threats inherent in the process of digitalization of economies and their impact on the operation of international and national markets as well as the development of the world economy as a whole. The purpose of the paper was to analyze the practical experience in the formation and development of the digital economy in foreign countries and Russia and identify the changes it brings to the activities of state institutions and business structures, established rules of market exchange, the process of promotion and use of innovations. All the above made it possible to determine the country-level specifics of the digital economy evolution reveal the contradictory nature of its manifestations and justify the necessity for active participation of the state in stimulation and support of potentially promising digital innovations in various sectors of the economy. It is concluded that the level of the digital economy development depends on the real-sector performance, the maturity of markets, the state of the national economy. It is highlighted that the criteria for a comprehensive assessment of the results of the economy digitalization must be developed.

The Innovators

2018 ◽  
Author(s):  
Barbara J. Risman
Keyword(s):  
Young People ◽  
Gender Equality ◽  
Gender Stereotypes ◽  
Macro Level ◽  
Gender Expectations ◽  
Personal Lives ◽  
Individual Level ◽  
The Individual ◽  
Gendered Expectations ◽  
Level Of Analysis

This chapter introduces the innovators and provides a portrait of them. The chapter analyzes these innovators at the individual, interactional, and macro level of the gender structure. The chapter begins at the individual level of analysis because these young people emphasize how they challenge gender by rejecting requirements to restrict their personal activities, goals, and personalities to femininity or masculinity. They refuse to live within gender stereotypes. These Millennials do not seem driven by their feminist ideological beliefs, although they do have them. Their worldviews are more taken for granted than central to their stories. Nor are they consistently challenging gender expectations for others, although they often ignore the gender expectations they face themselves. They innovate primarily in their personal lives, although they do reject gendered expectations at the interactional level and hold feminist ideological beliefs about gender equality.

scholarly journals SIMULTANEOUS DEFINITION OF KEY CHARACTERISTICS IN ORDER TO FACILITATE ROBUST DESIGN IN EARLY PRODUCT DEVELOPMENT STAGES

2021 ◽  
Vol 1 ◽  
pp. 2691-2700
Author(s):  
Stefan Goetz ◽  
Dennis Horber ◽  
Benjamin Schleich ◽  
Sandro Wartzack
Keyword(s):  
Product Development ◽  
Robust Design ◽  
Language Processing ◽  
Design Stage ◽  
Concept Design ◽  
Clear Definition ◽  
Implicit Information ◽  
Key Characteristics ◽  
Associated Functions ◽  
Definition Of

AbstractThe success of complex product development projects strongly depends on the clear definition of target factors that allow a reliable statement about the fulfilment of the product requirements. In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities. In order to integrate the activities related to the KC definition into product development as early as possible, the often vaguely formulated requirements must be translated into quantifiable KCs. However, this is primarily a manual process, so the results strongly depend on the experience of the design engineer.In order to overcome this problem, a novel computer-aided approach is presented, which automatically derives associated functions and KCs already during the definition of product requirements. The approach uses natural language processing and formalized design knowledge to extract and provide implicit information from the requirements. This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage. The approach is exemplarily applied to a window lifter.

scholarly journals Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 52
Author(s):  
Thomas Lee ◽  
Susan Mckeever ◽  
Jane Courtney
Keyword(s):  
Deep Learning ◽  
Research Work ◽  
Learning Approaches ◽  
Clear Definition ◽  
Top Down ◽  
Research Activity ◽  
Comprehensive Overview ◽  
The Past ◽  
Computer Vision Applications ◽  
Definition Of

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the Society of Automotive Engineers, to specific drone tasks in order to create a clear definition of autonomy when applied to drones. A top–down examination of research work in the area is conducted, focusing on drone navigation tasks, in order to understand the extent of research activity in each area. Autonomy levels are cross-checked against the drone navigation tasks addressed in each work to provide a framework for understanding the trajectory of current research. This work serves as a guide to research in drone autonomy with a particular focus on Deep Learning-based solutions, indicating key works and areas of opportunity for development of this area in the future.

scholarly journals Analysis of the Downscaling Effect and Definition of the Process Fingerprints in Micro Injection of Spiral Geometries

Micromachines ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 335 ◽  
Author(s):  
Antonio Luca ◽  
Oltmann Riemer
Keyword(s):  
Correlation Analysis ◽  
Process Parameters ◽  
Cross Sections ◽  
Mass Production ◽  
Process Window ◽  
Response Variable ◽  
Process Indicators ◽  
Flow Length ◽  
Definition Of ◽  
Microinjection Moulding

Microinjection moulding has been developed to fulfil the needs of mass production of micro components in different fields. A challenge of this technology lies in the downscaling of micro components, which leads to faster solidification of the polymeric material and a narrower process window. Moreover, the small cavity dimensions represent a limit for process monitoring due to the inability to install in-cavity sensors. Therefore, new solutions must be found. In this study, the downscaling effect was investigated by means of three spiral geometries with different cross sections, considering the achievable flow length as a response variable. Process indicators, called “process fingerprints”, were defined to monitor the process in-line. In the first stage, a relationship between the achievable flow length and the process parameters, as well as between the process fingerprints and the process parameters, was established. Subsequently, a correlation analysis was carried out to find the process indicators that are mostly related to the achievable flow length.

Environmental Behavior in Cross-National Perspective

2016 ◽  
Vol 49 (1) ◽  
pp. 31-58 ◽  
Author(s):  
Ignacio Pisano ◽  
Mark Lubell
Keyword(s):  
Environmental Behavior ◽  
National Level ◽  
Developed Countries ◽  
Education Development ◽  
Proenvironmental Behavior ◽  
Individual Level ◽  
Country Level ◽  
National Differences ◽  
Cultural Research ◽  
Cross National

This article seeks to explain cross-national differences on environmental behavior. After controlling for a series of sociodemographic and psychosocial factors, it was predicted that national levels of wealth, postmaterialism, education development, and environmental problems are positively related to environmental behavior. The national-level variance is to a substantial degree explained by individual-level variables, capturing compositional effects. The remaining variance is explained by the contextual-level variables. All of the country-level variables are predictors in the expected direction, with the exception of environmental degradation, which is negatively related to behavior, and education development, which has no impact on private environmental behavior. More importantly, cross-level interactions show that in more developed countries, there are stronger relationships between proecological attitudes and reported proenvironmental behavior. These findings contribute to the growing cross-cultural research on environmental behavior pointing out the necessity of simultaneously assessing the effects of both individual and contextual-level forces affecting behavior across nations.

Inequality in active ageing: evidence from a new individual-level index for European countries

2017 ◽  
Vol 39 (3) ◽  
pp. 541-567 ◽  
Author(s):  
MIKKEL BARSLUND ◽  
MARTEN VON WERDER ◽  
ASGHAR ZAIDI
Keyword(s):  
Age Groups ◽  
Positive Association ◽  
European Countries ◽  
Active Ageing ◽  
Unequal Distribution ◽  
Individual Level ◽  
Country Level ◽  
Challenges And Opportunities ◽  
Share Data ◽  
The Individual

ABSTRACTIn the context of emerging challenges and opportunities associated with population ageing, the study of inequality in active-ageing outcomes is critical to the design of appropriate and effective social policies. While there is much discussion about active ageing at the aggregate country level, little is known about inequality in active-ageing experiences within countries. Based on the existing literature on active ageing, this paper proposes an individual-level composite active ageing index based on Survey of Health, Ageing and Retirement in Europe (SHARE) data. The individual-level nature of the index allows us to analyse inequality in experiences of active ageing within selected European countries. One important motivation behind measuring active ageing at the individual level is that it allows for a better understanding of unequal experiences of ageing, which may otherwise be masked in aggregate-level measures of active ageing. Results show large differences in the distribution of individual-level active ageing across the 13 European countries covered and across age groups. Furthermore, there is a positive association between the country-level active ageing index and the equality of its distribution within a country. Hence, countries with the lowest average active ageing index tend to have the most unequal distribution in active-ageing experiences. For nine European countries, where temporal data are also available, we find that inequality in active-ageing outcomes decreased in the period 2004 to 2013.

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