Customer Attitude and Perception Towards Aavin Milk

2020 ◽  
Author(s):  
G. Nedumaran ◽  
Manida M
Keyword(s):  
Customer Attitude

scholarly journals Customer Preferences for Organic Agriculture Produce in the Czech Republic: 2016 and 2019

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 968
Author(s):  
Martina Zámková ◽  
Stanislav Rojík ◽  
Ladislav Pilař ◽  
Martina Chalupová ◽  
Martin Prokop ◽  
...  
Keyword(s):  
Czech Republic ◽  
Organic Agriculture ◽  
Organic Food ◽  
Marketing Research ◽  
Conventional Agriculture ◽  
Promising Alternative ◽  
The Czech Republic ◽  
Customer Preferences ◽  
Favourable Change ◽  
Customer Attitude

The article analyses the customer attitude towards the qualities and benefits of organic agriculture production for farmers and customers in the Czech Republic, comparing the situation in 2016 and 2019. More than 2500 respondents were subject to the marketing research in the years 2016 and 2019. The data were processed using correspondence analysis and logistic regression. The research study shows that the number of respondents who consider organic food is growing; at the same time, there is a rather large share of consumers who believe organic food to be of better quality. The results show a favourable change in the popularity of organic food. While, in 2016, the main decisive factor in shopping for organic food was its price, in 2019, the main criterion, for the respondents, was quality, with the criterion of price being complemented by the perception of organic food as healthier than conventional food. At the same time, it was established that, the amount spent on organic food in 2019 was higher than that in 2016. This finding was in positive correlation with the increase in respondents’ income. For farmers, organic farming is a promising alternative to conventional agriculture due to a rising demand for organic produce.

User Acceptance of IoT Applications in Retail Industry

2017 ◽  
pp. 28-49 ◽  
Author(s):  
M. S. Balaji ◽  
Sanjit Kumar Roy ◽  
Aditi Sengupta ◽  
Alain Chong
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Customer Experience ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Internet Technology ◽  
Iot Applications ◽  
Task Technology Fit ◽  
Customer Attitude ◽  
Acceptance Model

With the rapid advancements in the internet technology, many retailers are embracing internet of things technology to enhance customer experience and improve efficiency. Specifically, many customer-facing IoT technologies such as augmented reality, smart shopping carts, smart displays, and RFID tags are expected to change the way customers experience retailing shopping. Drawing on the technology acceptance model, trust perspective, task-technology fit, and organizational reputation perspective, this study examines the customer adoption of IoT applications in retail setting. Responses collected from 289 actual retail shoppers were analyzed using structural equation modeling. Results reveal that perceived usefulness, perceived ease of use, task-technology fit, retailer reputation, and initial trust are significant predictors of customer attitude and intentions to use IoT in retail stores. The study findings have key implications for academicians and retailers in improving customer acceptance and in delivering superior customer experience.

The Use of Technology Acceptance Model in Mobile Banking

2021 ◽  
pp. 478-487
Author(s):  
Kadriye Burcu Öngen Bilir
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Banking ◽  
Research Model ◽  
Normative Pressure ◽  
Use Of Technology ◽  
Customer Attitude ◽  
Acceptance Model

This chapter aims to determine the variables that explain using mobile banking. This study identifies and investigates the factors that influence the adoption of mobile banking, and specifically focuses on the evaluation of mobile banking application with users or non-users. The research model includes the basic concepts of the technology acceptance model. The technology acceptance model (TAM) tries to explain the adoption process and underlying influencing factors in technology acceptance. The survey was conducted to gather data which was coded in SPSS 17. Confirmatory factor analysis was used to analyze data, and structural equation modeling using Amos 17 software was used to validate the research model. The result shows that perceived ease of use, perceived usefulness, and perceived normative pressure significantly influences customer attitude, which affects the adoption of mobile banking.

Sign in / Sign up

Export Citation Format

Share Document