scholarly journals Electronic Money and Consumer Spending Behaviour: Evidence from Ghana

2021 ◽  
pp. 105-121
Author(s):  
Michael N.A. Mensah ◽  
Adusei Jumah
Keyword(s):  
Discrete Choice ◽  
Employment Status ◽  
Consumer Behaviour ◽  
Jel Classification ◽  
Demographic Characteristics ◽  
Discrete Choice Analysis ◽  
Consumer Spending ◽  
Electronic Money ◽  
Choice Analysis ◽  
People’S Attitudes

This study examines how e-money usage affects consumer spending behaviour through discrete choice analysis considering demographic characteristics. It also assesses people’s attitudes towards the challenges and benefits of using e-money through ANOVA. Our analyses indicate that e-money significantly impacts consumer spending behaviour, with the type of e-money and the expenditure made with e-money both influencing the consumers’ expenditures. Gender, age, and employment status also affected consumers’ spending behaviour as expected. However, the length of e-money usage had no effect. Interestingly, the respondents’ challenges associated with using e-money had no significant effect on the frequency of e-money usage. On the contrary, the derived benefits of using e-money had significant effects. JEL classification numbers: C25, D12, E42. Keywords: Electronic money, Consumer behaviour, Discrete choice, Ordered logit.

scholarly journals Electronic Money and Consumer Spending Behaviour: Evidence from Ghana

2021 ◽  
pp. 105-121
Author(s):  
Michael N.A. Mensah ◽  
Adusei Jumah
Keyword(s):  
Discrete Choice ◽  
Employment Status ◽  
Consumer Behaviour ◽  
Jel Classification ◽  
Demographic Characteristics ◽  
Discrete Choice Analysis ◽  
Consumer Spending ◽  
Electronic Money ◽  
Choice Analysis ◽  
People’S Attitudes

This study examines how e-money usage affects consumer spending behaviour through discrete choice analysis considering demographic characteristics. It also assesses people’s attitudes towards the challenges and benefits of using e-money through ANOVA. Our analyses indicate that e-money significantly impacts consumer spending behaviour, with the type of e-money and the expenditure made with e-money both influencing the consumers’ expenditures. Gender, age, and employment status also affected consumers’ spending behaviour as expected. However, the length of e-money usage had no effect. Interestingly, the respondents’ challenges associated with using e-money had no significant effect on the frequency of e-money usage. On the contrary, the derived benefits of using e-money had significant effects. JEL classification numbers: C25, D12, E42. Keywords: Electronic money, Consumer behaviour, Discrete choice, Ordered logit.

scholarly journals Determination of Additional Willingness to Pay for Socially Responsible Technical Products Using Discrete Choice Analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 45
Author(s):  
Florian Vincent Haase ◽  
Maria Kohlmeyer ◽  
Beatrice Rich ◽  
Ralf Woll
Keyword(s):  
Social Responsibility ◽  
Willingness To Pay ◽  
Discrete Choice ◽  
Discrete Choice Analysis ◽  
Socially Responsible ◽  
Choice Analysis ◽  
Primary Goods ◽  
Technical Products

<p>Previous studies examined additional willingness to pay for socially responsible primary goods. However, technical products have not been considered. Therefore, the purpose of this study is to estimate additional willingness to pay for socially responsible technical products. Within an overview of given methods for measuring willingness to pay, the discrete choice analysis was applied to this study. As technical products, computer mice were chosen exemplary, since there is a partially fair mouse available. It was found that two of three fair labeled mice have a negative willingness to pay. Only consumers of the fair produced and labeled mouse has a positive willingness to pay. The consumers pay perhaps more attention to the aspect of social responsibility, if presented brands are comparatively unknown. In this connection, consumers allocate a higher value to social responsibility.</p>

scholarly journals Research: Discrete Choice Analysis in Hospitality Management Research

1997 ◽  
Vol 21 (1) ◽  
pp. 28-47 ◽  
Author(s):  
Rohit Verma ◽  
Gary M. Thompson
Keyword(s):  
Conjoint Analysis ◽  
Discrete Choice ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Theoretical Background ◽  
Hospitality Management ◽  
Discrete Choice Analysis ◽  
Management Research ◽  
Customer Preferences ◽  
Choice Analysis

This article focuses on discrete choice analysis (DCA), which offers an effective approach for incorporating customer preferences into operating decisions in hospitality businesses. First the theoretical background of DCA is presented, including a discussion of how DCA compares to conjoint analysis. The authors then present a guide to designing and conducting a DCA study. Conducting a discrete choice study involves identifying the attributes relevant to customers'choices and the appropriate levels of these attributes, designing an experiment, collecting data and estimating parameters using a multinomial logit model. Finally, the strategic implications of DCA in hospitality management research are discussed.

Predicting customer choice in services using discrete choice analysis

2008 ◽  
Vol 47 (1) ◽  
pp. 179-191 ◽  
Author(s):  
R. Verma ◽  
G. R. Plaschka ◽  
B. Hanlon ◽  
A. Livingston ◽  
K. Kalcher
Keyword(s):  
Discrete Choice ◽  
Discrete Choice Analysis ◽  
Customer Choice ◽  
Choice Analysis
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