The Impact of Configuration of Ties With Different Types of Actors in an Innovation Network on Technology Newness Based on QCA

2020 ◽  
Vol 12 (1) ◽  
pp. 75-88
Author(s):  
Rui Li ◽  
Qiuyan Tao
Keyword(s):  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Necessary Condition ◽  
Scientific Management ◽  
High Tech ◽  
Tie Strength ◽  
Innovation Network ◽  
Different Types ◽  
Knowledge Intensive ◽  
The Impact

This paper aims to solve the “paradox” between strength of tie and technology newness from a new perspective. It intends to disclose that technology newness depends on combinations of tie strengths of different types of actors in a network rather than one type of actor's tie strength. To do so, a qualitative comparative analysis is conducted based on 166 knowledge-intensive firms in Beijing Zhongguancun High-Tech Park. Results suggest that there are three combinations of different types of actors' tie strength sufficient for technology newness, and strong tie with firms is a necessary condition for technology newness. Results confirm that tie strength with an individual type of actors have complex trade-off effects and that only specific combinations of tie strength with different types of actors in an innovation network act as sufficient conditions for technology newness. The result tends to show that balanced and scientific management of relationship between focal firms and different actors in a network is of great importance to technology innovation and strategy making.

scholarly journals The Impact of Constitutional Replacements on the Quality of Democracy in Latin America

Politologija ◽  
2020 ◽  
Vol 99 (3) ◽  
pp. 93-128
Author(s):  
Orestas Strauka
Keyword(s):  
Latin American ◽  
Party System ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Necessary Condition ◽  
Quality Of Democracy ◽  
And Inversion ◽  
The Impact ◽  
Latin American Countries

The article aims to evaluate whether and how constitutional replacements influence the quality of democracy in Latin American countries. The fuzzy-set qualitative comparative analysis method is applied while analysing 18 Latin American countries. The objective of the article- nine new constitutions that are assigned to the new constitutionalism period. The results reveal that constitutional replacements are neither sufficient nor necessary condition for quality of democracy. On the contrary, the parsimonious solution shows that quality of democracy can be explained by both high levels of education and inversion of constitutional replacements and inversion of constitutional replacements, institutionalised party system and non-homogeneous society. Inversion of quality of democracy analysis indicated that constitutional replacements, together with other conditions, form sufficient conditions for inversion of quality of democracy.  

scholarly journals Research on the Relationship between Shared Leadership and Individual Creativity-Qualitative Comparative Analysis on the Basis of Clear Set

2021 ◽  
Vol 13 (10) ◽  
pp. 5445
Author(s):  
Muyun Sun ◽  
Jigan Wang ◽  
Ting Wen
Keyword(s):  
Comparative Analysis ◽  
Environmental Factors ◽  
Shared Leadership ◽  
Management Practices ◽  
Qualitative Comparative Analysis ◽  
Necessary Condition ◽  
The Individual ◽  
The Impact ◽  
The Relationship ◽  
Sufficient And Necessary Condition

Creativity is the key to obtaining and maintaining competitiveness of modern organizations, and it has attracted much attention from academic circles and management practices. Shared leadership is believed to effectively influence team output. However, research on the impact of individual creativity is still in its infancy. This study adopts the qualitative comparative analysis method, taking 1584 individuals as the research objects, underpinned by a questionnaire-based survey. It investigates the influence of the team’s shared leadership network elements and organizational environmental factors on the individual creativity. We have found that there are six combination of conditions of shared leadership and organizational environmental factors constituting sufficient combination of conditions to increase or decrease individual creativity. Moreover, we have noticed that the low network density of shared leadership is a sufficient and necessary condition of reducing individual creativity. Our results also provide management suggestions for practical activities during the team management.

The analysis of the network structures in high tech industrial enterprises

2021 ◽  
Author(s):  
E.N. Gorlacheva ◽  
E.M. Ivannikova ◽  
A.P. Vasilenko
Keyword(s):  
Organizational Structures ◽  
High Tech ◽  
Network Structures ◽  
Optimal Ratio ◽  
Productive Work ◽  
Industrial Enterprises ◽  
Different Types ◽  
New Ideas ◽  
The Impact ◽  
Share Information

The relevance of information and the speed of its processing are of significant importance for high-tech industrial enterprises. To solve this problem, R&D departments are created within enterprises, but often all efforts are broken down by inefficient organizational structures. Purpose of the research– identify patterns that will ensure the most productive work with innovations. For the dissemination of new ideas in the enterprise, the role distribution of employees is more important. The impact of the ability to freely share information does not affect the results as much as the change in the ratio of different types of employees. The determined share of conservative employees (30-40% of the total number) allows us to determine the optimal ratio of employees who test innovative ideas for adequacy, in order to maximize the number of successfully accepted ideas by the team.

scholarly journals Adaptation of high-tech knowledge-intensive enterprises to the challenges of industry 4.0

2020 ◽  
Vol 210 ◽  
pp. 13026
Author(s):  
Stanislav Poloskov ◽  
Alexander Zheltenkov ◽  
Irina Braga ◽  
Irina Kuznetsova
Keyword(s):  
Information Exchange ◽  
Industry 4.0 ◽  
Digital Economy ◽  
High Tech ◽  
Measurement Tool ◽  
Industrial Enterprises ◽  
Innovative Products ◽  
Innovative Potential ◽  
Knowledge Intensive ◽  
The Impact

In order to succeed in a competitive environment, enterprises and organizations must quickly respond to external influences, such as digitalization, expansion of information exchange, and challenges caused by Industry 4.0. High-tech knowledge-intensive enterprises that develop and commercialize their original innovative products and technologies as well as provide intellectual services in the field of high technologies are the first to respond to such challenges. A number of works on how the digitalization in economy impacts organizational and managerial activities of enterprises, their R&D, and creation, production and commercialization of innovative products are analyzed. As the results of the study, a number of properties and patterns that determine the successful adaptation of innovative enterprises to the challenges of Industry 4.0 wereidentified. Among them there are material resources, including technology and equipment, scientific and technological achievements, financial, personnel and information support and adaptive organizational and economic capabilities. It is shown that in order to adapt to the challenges of Industry 4.0, enterprises must match capabilities of the digital economy with their material, intellectual and production resources using innovative potential as a measurement tool. It is determined that the procedures for assessing the innovative potential of enterprises can become an effective tool for assessing both quantitative/qualitative indicators of enterprises and degree of their adaptation to the challenges of Industry 4.0. The proposed methodology for a comprehensive assessment of industrial enterprises’ innovative potential as the degree of their adaptation to the challenges of Industry 4.0 was implemented at the high-tech knowledge-intensive enterprises “Shtorm” and “Tekhnotron”. Both of them are well known for their innovative developments in the field of welding production. It was demonstrated that the proposed methodology allows not just assessing the degree of adaptation to the digital economy and the challenges of Industry 4.0, but also assessing the impact of planned activities on innovations and determine methods and means of responding to the changes in external and internal environment of enterprises.

Fuzzy Sets on Shaky Ground: Parameter Sensitivity and Confirmation Bias in fsQCA

2015 ◽  
Vol 23 (1) ◽  
pp. 21-41 ◽  
Author(s):  
Chris Krogslund ◽  
Donghyun Danny Choi ◽  
Mathias Poertner
Keyword(s):  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Confirmation Bias ◽  
Model Specification ◽  
Sensitivity Analyses ◽  
Parameter Values ◽  
The Impact ◽  
Sensitive Method ◽  
Shaky Ground ◽  
Oriented Research

Scholars have increasingly turned to fuzzy set Qualitative Comparative Analysis (fsQCA) to conduct small- and medium-N studies, arguing that it combines the most desired elements of variable-oriented and case-oriented research. This article demonstrates, however, that fsQCA is an extraordinarily sensitive method whose results are worryingly susceptible to minor parametric and model specification changes. We make two specific claims. First, the causal conditions identified by fsQCA as being sufficient for an outcome to occur are highly contingent upon the values of several key parameters selected by the user. Second, fsQCA results are subject to marked confirmation bias. Given its tendency toward finding complex connections between variables, the method is highly likely to identify as sufficient for an outcome causal combinations containing even randomly generated variables. To support these arguments, we replicate three articles utilizing fsQCA and conduct sensitivity analyses and Monte Carlo simulations to assess the impact of small changes in parameter values and the method's built-in confirmation bias on the overall conclusions about sufficient conditions.

scholarly journals Evaluation of diffusion of high-tech products: morphological analysis

2021 ◽  
pp. 28-32
Author(s):  
Veronika KARKOVSKA ◽  
Nataliia MYROSHCHENKO ◽  
Oksana ZARYTSKA ◽  
Liubov PROKOPYSHYN-RASHKEVYCH
Keyword(s):  
Diffusion Of Innovation ◽  
Morphological Analysis ◽  
Project Managers ◽  
Added Value ◽  
Alternative Methods ◽  
Necessary Condition ◽  
High Tech ◽  
Industrial Enterprises ◽  
Nodal Points ◽  
The Impact

Introduction. The urgency of scientific research is confirmed by the fact that under the conditions of globalization, reform of the national economy, as well as strengthening of integration processes, the level of competitiveness of industrial enterprises is determined by many factors, with innovative activity being the key one. It is thanks to innovations that the business entity has the ability to strengthen its market positions, improve its economic efficiency, and create higher added value. А necessary condition for ensuring a certain level of efficiency of innovation is the dissemination of the results of these activities to the consumer, not just their creation. This purpose can be achieved through the diffusion of innovation results of industrial enterprises. The purpose of paper is to improve the method of diffusion identification during the commercialization of high-tech products of industrial enterprises using morphological analysis. Results. Based on the results of studying the comparative characteristics of alternative methods of assessing the impact of diffusion on the efficiency of commercialization of high-tech products, the authors proved the feasibility of using morphological analysis tools to solve the problem, setting targets, analysis of variants of possible change of parameters of nodal points of object of estimation. To the list of nodal points, in this case, the authors include the volume and the speed of sales of high-tech products, the number of sources of its distribution, as well as the saturation of the market with these products. The parameterization of diffusion characteristics during the commercialization of high-tech products of industrial enterprises is proposed by calculating the market capacity of high-tech products, the indicator of speed (turnover) of its implementation, the coefficient of diversification of sources of distribution of these products in the market, as well as calculating the increments of the corresponding coefficients. Conclusion. The method of diffusion identification during commercialization of high-tech products of industrial enterprises has been improved, which takes into account the tools of morphological analysis and allows commercialization project managers to synthesize factor and result features of diffusion and also allows to establish causal relationships between factor and result features of such diffusion.

scholarly journals Innovation of the firm: How to create performance from capability

2017 ◽  
Vol 24 (04) ◽  
pp. 64-84
Author(s):  
Anh Trinh Thuy ◽  
Thong Nguyen Ngoc
Keyword(s):  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Tourism Industry ◽  
Innovation Performance ◽  
Organizational Capabilities ◽  
Ho Chi Minh City ◽  
Innovation Capability ◽  
Learning Capability ◽  
The Impact

Based on the competitive advantage theory and resource-based theory of the firm, this paper examines the impact of innovation capacity on innovation performance of the tourism industry. Innovation capability is defined as the firm's ability to reconfigure and develop their resources and organizational capabilities to innovate. Innovation capability is measured by four components: sensing capability (SC), combination capability (CC), networking capability (NC), and learning capability (LC). Innovation performance is achievement or success of innovation made by a firm in accordance with the target, described by the three components: internal performance (IP), commercial performance (CP), and social performance (SP). The results of Multiple Regression Analysis (MRA) applied to a sample of 242 directors and CEOs of travel agents in a list of Ho Chi Minh City Tourism Association (HTA) and Ho Chi Minh City Department of Tourism show that three (SC, CC, NC) among four components (SC, CC, NC, LC) of innovation capabilities have effects on innovation performance. However, the application of fuzzy set theory in the fuzzy-set qualitative comparative analysis indicates that learning capability does not have any impact on firms’ innovation performance. A combination of learning capability and networking capability, nevertheless, creates sufficient conditions for innovation performance.

Survival strategies of SMEs amidst the COVID-19 pandemic: application of SEM and fsQCA

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Sabbir Rahman ◽  
Fadi AbdelMuniem AbdelFattah ◽  
Surajit Bag ◽  
Mohammad Osman Gani
Keyword(s):  
Structural Equation ◽  
Necessary Conditions ◽  
Small And Medium Enterprises ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Survival Strategies ◽  
Data Set ◽  
Content Type ◽  
Business Agility ◽  
The Impact

Purpose As a global pandemic, the COVID-19 crisis has profoundly affected the development of local firms, threatening the survival of small and medium enterprises (SMEs). This study aims to present an integrated framework by investigating the impact of strategic tools (i.e. firms’ capability of business agility, marketing operational efficiency, optimisation of innovation capability [OIC], managing employees’ satisfaction and rethinking customers’ experience) on the survival strategies of SMEs amidst the COVID-19 pandemic. Design/methodology/approach The current study used data from managers of SMEs and conducted an asymmetrical analysis (i.e. structural equation modelling [SEM]) to investigate the factors influencing the survival strategies of SMEs amidst the COVID-19 pandemic. This study also applied an asymmetrical approach (i.e. fuzzy sets qualitative comparative analysis-fsQCA) to explore the causal recipes and analysis of the necessary conditions to identify the factors required to achieve the expected outcome. Findings Results from SEM support all hypotheses. Results from fsQCA with the same data set show that firms’ business agility and OIC are necessary conditions for SMEs’ survival strategies. The result from fsQCA also reveals multiple sufficient conditions to succeed SMEs’ survival strategies amidst the COVID-19 pandemic. Practical implications Findings prescribe how SMEs adapt to this vulnerable business condition by applying the strategic tools and recipes suggested for survival. Originality/value This research applied an innovative analysis to reveal necessary and sufficient conditions that conventional methods such as SEM have limited power. This pioneering research in the context of the COVID-19 pandemic is considered novel in terms of the prescriptive strategic recipes offered to SMEs to adapt to and survive in the crisis caused by COVID-19.

scholarly journals Towards a Regulatory Cycle? The Use of Evaluative Information in Impact Assessments and Ex–post Evaluations in the European Union

2016 ◽  
Vol 7 (2) ◽  
pp. 388-403 ◽  
Author(s):  
Thomas van Golen ◽  
Stijn van Voorst
Keyword(s):  
European Union ◽  
Qualitative Comparative Analysis ◽  
Necessary Condition ◽  
Future Research ◽  
The European Union ◽  
Eu Legislation ◽  
Post Evaluation ◽  
Ex Post ◽  
Better Regulation ◽  
Different Types

As a part of its Better Regulation agenda, the European Commission increasingly stresses the link between different types of regulatory evaluations. Predictions made by Impact Assessments (IAs) could be verified during ex–post legislative evaluations, while ex–post evaluations in turn could recommend amendments to be studied in future IAs. This article combines a dataset of 309 ex–post legislative evaluations (2000-2014) and a dataset of 225 IAs of legislative updates (2003-2014) to show how many ex–post evaluations of the Commission use IAs and vice versa. This way, it explores if the Commission's rhetoric of a ‘regulatory cycle’ holds up in practice. Building on the literature of evaluation use, we formulate the hypotheses that the timeliness, quality and focus of the IAs and evaluations are key explanations for use. Our results show that so far only ten ex–post evaluations have used IAs of EU legislation, while thirty three IAs have used ex–post legislative evaluations. Using Fuzzy set Qualitative Comparative Analysis, we find that timeliness is a necessary condition of the use of ex–post evaluations by IAs, suggesting that for the regulatory cycle to function properly, it is crucial to complete an ex–post evaluation before an IA is launched. Future research could repeat our analysis for evaluations of non–regulatory activities or study the causal mechanisms behind our findings.

scholarly journals Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope

2020 ◽  
Vol 68 (1) ◽  
pp. 181-188 ◽  
Author(s):  
Tomasz Kijek ◽  
Anna Matras-Bolibok
Keyword(s):  
Total Factor Productivity ◽  
High Tech ◽  
Index Number ◽  
Factor Productivity ◽  
Total Employment ◽  
Index Number Theory ◽  
Eu Regions ◽  
Knowledge Intensive ◽  
The Impact ◽  
The Eu

The aim of the paper is to assess the impact of knowledge-intensive specialisation on Total Factor Productivity (TFP) in the EU regional scope. To calculate TFP defined as the aggregated output-input ratio, we employ the multiplicatively-complete Färe-Primont index as it satisfies all economically-relevant axioms and tests from the index number theory. The knowledge intensive specialisation of EU regions is captured by the statistics on high-tech industry and knowledge-intensive services, i.e. the employment in high-tech sectors as a percentage of total employment (HTS). The research sample consists of 248 EU regions at NUTS 2 level. The key findings of the study indicate that the employment in high-tech manufacturing and knowledge-intensive services is not distributed uniformly in the EU regional space. Similarly, TFP also varies substantially across the EU regions. Moreover, the results of the research model estimation show that specialisation in high-tech manufacturing and knowledge-intensive services directly affects regional TFP. The main implication of our analysis for the policymakers is to explore and support knowledge-intensive specialisation patterns, that should be built upon existing regional technological competencies and human capital endowment according to the smart specialisation strategies approach.

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