scholarly journals Congregational involvement in HIV: A qualitative comparative analysis of factors influencing HIV activity among diverse urban congregations

2020 ◽  
Vol 246 ◽  
pp. 112718 ◽  
Author(s):  
Peter Mendel ◽  
Harold D. Green ◽  
Kartika Palar ◽  
David E. Kanouse ◽  
Ricky N. Bluthenthal ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Qualitative Comparative Analysis ◽  
Factors Influencing ◽  
Urban Congregations

Factors affecting transaction costs in megaprojects: a qualitative comparative analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dedong Wang ◽  
Hui Li ◽  
Yongqiang Lu
Keyword(s):  
Comparative Analysis ◽  
Transaction Costs ◽  
Qualitative Comparative Analysis ◽  
Asset Specificity ◽  
Necessary Condition ◽  
Content Type ◽  
Factors Affecting ◽  
Relational Contract ◽  
Factors Influencing ◽  
Project Costs

PurposeThe purpose of this study is to examine the factors influencing the transaction costs (TCs) in megaprojects to provide a basis for controlling project costs.Design/methodology/approachThis study selects six factors influencing the TCs in megaprojects from the perspective of TC theory and relational contract theory (RCT) through literature review. On the basis of crisp-set qualitative comparative analysis (QCA), this study tests combined factors influencing the TCs and the interaction between them.FindingsResults show that in megaprojects, TCs are affected by combination factors. The combination of asset specificity, uncertainty, transaction frequency and trust and the combination of asset specificity, reputation and trust will control TCs in certain situations. In the configuration leading to high project TCs, the combination of environmental and behavioral uncertainties is a necessary condition.Originality/valueThis paper fills up the research gap in the field of megaproject TCs, and researchers can focus on this field in the future.

scholarly journals Factors Influencing Farmers’ Willingness to Pay for Weather Index Insurance Through Fuzzy-Set Qualitative Comparative Analysis: Insights from a Pilot in Jiangxi Province, China

2020 ◽  
Author(s):  
Xue Zhang ◽  
Zhihong Luo ◽  
Yeyin Wang ◽  
Song Yi ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Low Temperature ◽  
Qualitative Comparative Analysis ◽  
Index Insurance ◽  
Government Subsidy ◽  
Weather Index ◽  
Temperature Index ◽  
Factors Influencing ◽  
Weather Index Insurance ◽  
Mandarin Orange

Weather index insurance plays an important role in helping farmers avoid their economic loss from weather risk. There is increasing numbers of pilot areas of weather index insurance in China while the studies show its take-up has been disappointing low in many other developing countries. This study aims to explore the status of weather index insurance and its processing problems in China through the factors influencing farmers’ willingness to pay for Low-Temperature Index-based Mandarin Orange Insurance in Nangfeng County. The Fuzzy-Set Qualitative Comparative Analysis is conducted for the influencing factors, including strike level, premium, pay-out, planting cost, effect of low temperature, insurance claim process, trust in insurance and government subsidy. The result shows the combination of expensive premium, low payout, high planting cost, low government subsidy and distrust in insurance company causes farmers’ unwillingness to pay for Low Temperature Index-based Mandarin Orange Insurance, among which distrust is core factor. Expensive premium, low payout, high planting cost and low subsidy from government are main influencing factors.

scholarly journals Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 324
Author(s):  
Mario Arias-Oliva ◽  
Jorge de Andrés-Sánchez ◽  
Jorge Pelegrín-Borondo
Keyword(s):  
Comparative Analysis ◽  
Social Influence ◽  
Fuzzy Set ◽  
Financial Literacy ◽  
Perceived Risk ◽  
Qualitative Comparative Analysis ◽  
Intention To Use ◽  
Explanatory Variables ◽  
Factors Influencing ◽  
Effort Expectancy

This paper assesses the variables influencing the expansion of cryptocurrency (crypto for short) use in households. To carry on the study we apply a consumer-behavior focus and so-called fuzzy set Qualitative Comparative Analysis (fsQCA). In a previous research, that was grounded on Unified Theory of Acceptance and Use of Technology (UTAUT) and Partial Least Squares (PLS), we found that main factors to explain the intention to use of cryptos by individuals were performance expectancy (in fact, it was the main factor), effort expectancy and facilitating conditions. We did not found evidences about the relevance of social influence, perceived risk and financial literacy. This study revisits these results by applying fsQCA instead PLS. Empirical research on factors influencing cryto use is relatively scarce due to the novelty of blockchain techs, so the present paper expands the literature on this topic by using an original analytical tool in this context. The main contribution of this paper consists in showing empirically that fsQCA provides a complementary and enriching perspective to interpret data about the use of cryptos. We obtain again that the most relevant factor to explain the intention of using cryptocurrencies is perceived expectancy and that also effort expectancy and facilitation conditions are relevant. But also fsQCA has allowed us discovering that despite social influence, perceived risk and financial literacy were not significant in the PLS model, they impact on the intention to use cryptocurrencies when are combined with other factors. Social influence acts as an “enable factor” for the rest of explanatory variables and it is linked positively with intention to use cryptos. Also financial literacy is relevant because its lack is a sufficient condition for the non-acceptance of that blockchain tech. Likewise we have checked that perceived risk influences the intention of using cryptos. However, this influence may be positive or negative depending of the circumstances.

Impact of Globalisation on Pandemics: A comparative study on SARS and Covid-19 (Preprint)

2020 ◽  
Author(s):  
Johann Johann And Devika
Keyword(s):  
Comparative Analysis ◽  
Comparative Study ◽  
Descriptive Analysis ◽  
Qualitative Comparative Analysis ◽  
Global Scale ◽  
Global Level ◽  
Economic Stability ◽  
The Past ◽  
The World ◽  
Close Relationship

BACKGROUND Since November 2019, Covid - 19 has spread across the globe costing people their lives and countries their economic stability. The world has become more interconnected over the past few decades owing to globalisation and such pandemics as the Covid -19 are cons of that. This paper attempts to gain deeper understanding into the correlation between globalisation and pandemics. It is a descriptive analysis on how one of the factors that was responsible for the spread of this virus on a global scale is globalisation. OBJECTIVE - To understand the close relationship that globalisation and pandemics share. - To understand the scale of the spread of viruses on a global scale though a comparison between SARS and Covid -19. - To understand the sale of globalisation present during SARS and Covid - 19. METHODS A descriptive qualitative comparative analysis was used throughout this research. RESULTS Globalisation does play a significant role in the spread of pandemics on a global level. CONCLUSIONS - SARS and Covid - 19 were varied in terms of severity and spread. - The scale of globalisation was different during the time of SARS and Covid - 19. - Globalisation can be the reason for the faster spread in Pandemics.

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