scholarly journals Consumers’ Buying Behavior Towards Online Shopping During The Covid-19 Pandemic: An Empirical Study In Malaysia

2021 ◽  
Vol 7 (2) ◽  
pp. 1-7
Author(s):  
Nurul Sima Mohamad Shariff ◽  
Nur Hayani Izzati Abd Hamid
Keyword(s):  
Online Shopping ◽  
Probit Model ◽  
Product Variety ◽  
Marketing Strategies ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Buying Behavior ◽  
Factors Affecting ◽  
The Relationship ◽  
Insight Into

The world has been affected by the COVID-19 outbreak recently, affecting the economy worldwide. Due to the booming of online activities, especially online shopping, this study is interested in finding the relationship between factors affecting consumers’ buying behavior on online shopping in Malaysia during the COVID-19 pandemic. The least studies related to this issue is needed in Malaysia to further understand the behavior of the consumers on online shopping. Based on available literatures, the factors of interest were trust, convenience, price, product variety and promotion on consumers’ buying behavior in Malaysia. The study employed survey procedures to collect the data, whereby online questionnaires were disseminated and recorded from a total of 335 respondents. The data was then analysed using several statistical analyses, namely pilot test, descriptive statistics and an ordered probit model.  The result from an ordered probit model indicated that convenience, product variety, trust and promotion affected the Malaysian consumers’ buying behavior during the pandemic. Only price showed an insignificant impact on online shopping. This gave the sellers insight into understanding the consumers’ buying behavior on the online platform by planning marketing strategies to fascinate more customers.

scholarly journals The Organization of Political Violence by Insurgencies

2012 ◽  
Vol 18 (3) ◽  
Author(s):  
Roos Haer
Keyword(s):  
Political Violence ◽  
Probit Model ◽  
Ordered Probit ◽  
Process Theory ◽  
Ordered Probit Model ◽  
Armed Groups ◽  
Human Right ◽  
Armed Group ◽  
The World ◽  
The Relationship

AbstractA range of theories have attempted to explain the variation in civilian abuse of warring parties. Most of these theories have been focused on the strategic environment in which these acts take place. Less attention is devoted to the perpetrators of these human right abuses themselves: the armed groups. This study tries to fill this niche by using the organizational process theory in which it is assumed that armed groups, like every organization, struggles for survival. The leader tries to ensure the maintenance of her armed group by increasing her control over her troops. The relationship between the level of control and the perpetrated civilian abuse is examined with a new dataset on the internal structure of more than 70 different armed groups around the world. With the help of a Bayesian Ordered Probit model, this new dataset on civilian abuse is analyzed. The results show that especially particular incentives play an important role.

scholarly journals Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model

2019 ◽  
Vol 16 (14) ◽  
pp. 2632 ◽  
Author(s):  
Chen ◽  
Song ◽  
Ma
Keyword(s):  
Injury Severity ◽  
Unobserved Heterogeneity ◽  
Seat Belt ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Random Parameters ◽  
Factors Affecting ◽  
Bivariate Ordered Probit ◽  
Bivariate Ordered Probit Model

The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics. For rear-end crashes, potential correlation in injury severity may present between the two drivers involved in the same crash. Moreover, there may exist unobserved heterogeneity considering parameter effects, which may vary across both crashes and individuals. To address these concerns, a random parameters bivariate ordered probit model has been developed to examine factors affecting injury sustained by two drivers involved in the same rear-end crash between passenger cars. Taking both the within-crash correlation and unobserved heterogeneity into consideration, the proposed model outperforms the two separate ordered probit models with fixed parameters. The value of the correlation parameter demonstrates that there indeed exists significant correlation between two drivers’ injuries. Driver age, gender, vehicle, airbag or seat belt use, traffic flow, etc., are found to affect injury severity for both the two drivers. Some differences can also be found between the two drivers, such as the effect of light condition, crash season, crash position, etc. The approach utilized provides a possible use for dealing with similar injury severity analysis in future work.

scholarly journals Analyzing Household Vehicle Ownership in the Japanese Local City: Case Study in Toyota City

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Jia Yang ◽  
Hideki Kato ◽  
Ryosuke Ando ◽  
Yasuhide Nishihori
Keyword(s):  
Probit Model ◽  
Substitution Effect ◽  
Ordered Probit ◽  
Motor Vehicles ◽  
Ordered Probit Model ◽  
Annual Income ◽  
Vehicle Ownership ◽  
Unknown Parameters ◽  
Factors Affecting ◽  
Sample Data

This study aims to understand the crucial factors affecting vehicle ownership in the local city, Japan. 14,855 household sample data in Toyota City are used as the research sample. The sample data are extracted from the 5th Person Trip Survey data in the Chukyo region. First, the unknown annual income is complemented by using an ordered probit model. Then, a trivariate ordered probit model is utilized to analyze ownership of light motor vehicles, ordinary motor vehicles, and small trucks simultaneously. To estimate unknown parameters effectively and efficiently, one type of Markov Chain Monte Carlo methods called the Gibbs Sampler algorithm is applied in this study. The significant findings suggest the following: (1) the annual income only affects the ownership of ordinary motor vehicles; (2) a household with a 60-year-old or older householder is more likely to own small trucks, compared to that with a householder below the age of 60; (3) the population density negatively affects the number of light motor vehicles and that of small trucks; (4) there is a substitution effect of vehicle ownership between light motor vehicles and small trucks.

scholarly journals EFFECTS OF ONLINE SHOPPING TRENDS ON CONSUMER-BUYING BEHAVIOR: AN EMPIRICAL STUDY OF PAKISTAN

2019 ◽  
Vol 2 (2) ◽  
pp. 1-24
Author(s):  
Dr Rizwana Bashir ◽  
Irsa Mehboob ◽  
Waqas Khaliq Bhatti
Keyword(s):  
Statistical Analysis ◽  
Empirical Study ◽  
Online Shopping ◽  
Product Variety ◽  
Measuring Instrument ◽  
Relevant Factor ◽  
Buying Behavior ◽  
Recent Trends ◽  
The Relationship ◽  
Consumer Buying Behavior

This research paper examines the relationship between various factors that affect the consumer behavior towards online shopping. Online shopping refers to the recent trends of being able to buy everything from home. The focus of this research is to explain the influence of five major variables that were derived from literature. These variables are trust, time, product variety, convenience and privacy, which determine how consumer-buying behavior is reflecting online shopping trends. Data was collected through the use of a specified measuring instrument. This instrument was a completely self-developed and standardized questionnaire that comprised of two sections. The statistical analysis of the data reflects that trust and convenience will have great impact on the decision to buy online or not. Trust is been considered as the most relevant factor affecting the customer’s buying behavior towards online shopping when it comes to younger generation.

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