scholarly journals Critical Conditions Identification for Online Purchase Intention of Fruits: A Fuzzy-Set Qualitative Comparative Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Can Wang ◽  
Fangyu Chen ◽  
Feiteng Yi ◽  
Yongchang Wei
Keyword(s):  
Comparative Analysis ◽  
Fruit Quality ◽  
Fuzzy Set ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Qualitative Comparative Analysis ◽  
Internet Technology ◽  
Critical Conditions ◽  
Online Questionnaire ◽  
Online Purchase

With the development of Internet technology, e-commerce platforms have emerged one after another, and the competition of the fruit e-commerce market is increasingly intensified. How to boost customer demand by improving their purchase intention has become a key issue. The study identified the critical conditions leading to high purchase intention of fruits through fuzzy-set qualitative comparative analysis. The empirical analysis was conducted based on an online questionnaire of 344 Internet users. The results reveal that high purchase intention comes from high fruit quality, high fruit price concessions and supply service, and low perceived risk (peripheral conditions). In addition, high purchase intention can also be realized from high fruit quality, high fruit price concessions, high supply service, and high website information quality (peripheral conditions). This study provides more nuanced thinking of how to improve online purchase intention of fruits.

scholarly journals Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic

2021 ◽  
Vol 13 (18) ◽  
pp. 10221
Author(s):  
Sufyan Habib ◽  
Nawaf N. Hamadneh
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Online Shopping ◽  
Research Work ◽  
Mobile Internet ◽  
Growth Potential ◽  
Internet Technology ◽  
Consumer Trust ◽  
Online Purchase ◽  
The Impact

E-commerce industry has witnessed a phenomenal growth globally due to the sudden spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with fast adaption of online shopping technologies by the customers. Previously, online shopping was only available in a few product categories and to a select group of consumers. The COVID-19 guidelines related to safety, physical distancing, closure, lockdown, and other restrictions have insisted that consumers shop online. Because of e-commerce growth, the grocery (FMCG) industry is also equipped with advanced technologies such as the Internet of Things (IoT), cloud computing, and block chain technology. This paper analyzes the UTAUT2 model and its influence on perceived risk and consumer trust in online purchase intention of grocery categories of products among Indian customers. We tried to analyze the growth potential of new technologies in grocery retail and formulated the hypotheses. The results showed that the spread of COVID-19 pandemic had a significant influence on the online shopping behavior of Indian customers. The outcome of the study partly assists businesses in understanding the impact of the factors of consumer adaption of technology, perceived risk associated with online transaction, consumer trust in online technologies and consumer online purchase intention of grocery products. To promote e-commerce in India, the current study suggests that marketers should try to develop consumer trust and lowering the perceived risk associated with online shopping. Some management implications and future area of study based on empirical findings are also highlighted in the present research work.

scholarly journals Online Customer Shopping Behaviour: The Mediating Role of Online Perceived Risk

2020 ◽  
Vol 12 (Number 2) ◽  
pp. 1-18
Author(s):  
Wan Kalthom Yahya ◽  
Nor Hashima Hashim ◽  
Norhusniyati Husin ◽  
Najihah Abdul Rahim
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Positive Relationship ◽  
Store Image ◽  
Online Questionnaire ◽  
Online Store ◽  
Online Risk ◽  
Online Purchase ◽  
Technological Advances ◽  
Customer Review

The studies of online purchase intention have been done extensively throughout the world by testing many predictors. Due to the rapid growth of technological advances affecting internet users suggest other new predictors considered as an online purchase intention element. This study suggests customer review, online store image, and perceived online risk (an element of a mediating factor) as three main variables that drive customers to purchase online. A simple convenience sampling method was used to analyse the responses from online users via the online questionnaire web surveys. Multiple regressions and Sobel tests were used in this study to test the hypotheses. The result shows that online customer review and online store image have a positive relationship with the perceived risk online as well as perceived risk itself also has a positive relationship with online purchase intention. Consequently, in terms of mediating factors, perceived risk online is seen as a mediator for both online customer review and online store image with online purchase intention. Having said that, the study hopes that the findings would help boost the online retail industry as a contributor to the country's economic development.

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.

scholarly journals The influence of ethical judgements on acceptance and non-acceptance of wearables and insideables: Fuzzy set qualitative comparative analysis

2021 ◽  
Vol 67 ◽  
pp. 101689
Author(s):  
Jorge de Andrés-Sánchez ◽  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo ◽  
Ala’ Ali Mohammad Almahameed
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis

scholarly journals It takes two to tango: the interplay between decision logics, communication strategies and social media engagement in start-ups

2021 ◽  
Author(s):  
Christian Rudeloff ◽  
Stefanie Pakura ◽  
Fabian Eggers ◽  
Thomas Niemand
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Exploratory Study ◽  
Communication Strategies ◽  
Qualitative Comparative Analysis ◽  
Communication Models ◽  
Social Media Engagement ◽  
Start Ups

AbstractThis manuscript analyzes start-ups’ usage of different communication strategies (information, response, involvement), their underlying decision logics (effectuation, causation, strategy absence) and respective social media success. A multitude of studies have been published on the decision logics of entrepreneurs as well as on different communication strategies. Decision logics and according strategies and actions are closely connected. Still, research on the interplay between the two areas is largely missing. This applies in particular to the effect of different decision logics and communication models on social media success. Through a combination of case studies with fuzzy-set Qualitative Comparative Analysis this exploratory study demonstrates that different combinations of causal and absence of strategy decision logics can be equally successful when it comes to social media engagement, whereas effectuation is detrimental for success. Furthermore, we find that two-way-communication is essential to create engagement, while information strategy alone cannot lead to social media success. This study provides new insights into the role of decision logics and connects effectuation theory with the communication literature, a field that has been dominated by causal approaches.

Motivation Configuration of Bluxury Tourism Behavior: An FsQCA Application

2021 ◽  
pp. 193896552110144
Author(s):  
Da Shi ◽  
Bowen Yi ◽  
Fangfang Shi ◽  
Simone Satta
Keyword(s):  
Comparative Analysis ◽  
Complexity Theory ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Complex Configuration ◽  
Physical Factors ◽  
Motivation Theory ◽  
Main Motivation ◽  
Push And Pull ◽  
Insight Into

This study investigates the motivation configuration of bluxury tourism behavior. According to complexity theory and push and pull motivation theory, we establish a framework of complex configuration conditions, including push forces, pull forces, and constraints that lead to bluxury tourism. Based on fuzzy-set qualitative comparative analysis, we identified seven main motivation configurations of bluxury tourism behavior covering three core factors: physical factors, seeking/exploration in push forces, and intangible factors in pull forces. In addition, combinations of constraints in the configuration demonstrate various paths leading to bluxury tourism behavior. These findings provide unique insight into bluxury tourism participation.

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