Influence of Hindsight Bias on Purchasing Decision Making Process

2018 ◽  
Vol 41 (3) ◽  
pp. 67-83
Author(s):  
Jae Jin Lee
Keyword(s):  
Decision Making ◽  
Hindsight Bias ◽  
Decision Making Process ◽  
Purchasing Decision

scholarly journals PROSES PENGAMBILAN KEPUTUSAN PEMBELIAN SAYURAN HIDROPONIK DI KOTA BANDAR LAMPUNG

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Sutarni Sutarni ◽  
Luluk Irawati ◽  
Bina Unteawati ◽  
Clara Yolandika
Keyword(s):  
Decision Making ◽  
Consumer Behavior ◽  
Information Search ◽  
Qualitative Method ◽  
Decision Making Process ◽  
Purchasing Decisions ◽  
Alternative Evaluation ◽  
Purchasing Decision ◽  
Post Purchase ◽  
Method Approach

The purpose of this study is to describe the decision making process of purchasing hydroponic vegetables. This research conducted in Bandar Lampung City. The study was conducted on 42 consumers of hydroponic vegetables and 42 non-hydroponic consumers. This research requires a qualitative method approach. Analysis of the stages of consumer purchasing decision-making process used to determine consumer behavior in making purchases of hydroponic and non hydroponic vegetables. Stages in the process of making consumer purchasing decisions in choosing commodities include the introduction of needs, information search, alternative evaluation, purchasing decisions, and post-purchase evaluation.Keywords: Decission Making, Hydroponic, Vegetable

scholarly journals Inerrogating Variables Affecting Consumers' EV Purchasing Decision

2021 ◽  
Author(s):  
Nadia Sultana
Keyword(s):  
Decision Making ◽  
Research Question ◽  
Hierarchical Cluster ◽  
Decision Making Process ◽  
Purchasing Decision ◽  
Tree Modeling ◽  
Vehicle Production ◽  
Consumer Data ◽  
Changes Over Time ◽  
Toyota Prius

This paper takes a multi-step approach to answer the research question “What are the factors that affect the consumers’ EV purchasing decision-making process and how do they affect it?” In order to answer this question, this paper studies consumer data from the last 15 years. Using Hierarchical cluster analysis, this paper shows how the importance of the factors changes over time. A predictive model has been developed using Ethnographic Decision tree Modeling (EDTM) for the decision-making process of the owners of the 4 top selling EV. The top selling EVs includes models of Nissan Leaf, Tesla, Chevy Volt, and Toyota Prius, from year 2009 to 2014. This EDTM model indicates that while consumers prefer variables such as gas requirement, performance and mile coverage over other variables when deciding to purchase an EV, when given several options of EV they consider other variable such as the environment, brand and country of vehicle production to be more important.

scholarly journals Which country does it come from? A review of Business-to-Business Purchase Decision Making Process

2020 ◽  
Vol 76 ◽  
pp. 01007
Author(s):  
Dhyah Harjanti ◽  
Jeremia Novianto ◽  
Noneng Rokayah Sukatmadiredja
Keyword(s):  
Decision Making ◽  
Country Of Origin ◽  
Purchase Decision ◽  
Decision Making Process ◽  
Purchasing Decision ◽  
Advantages And Disadvantages ◽  
One Year ◽  
Country Of Origin Image ◽  
Business To Business ◽  
Main Factor

Previous researches show that the country of origin’s image of Chinese products tends to be negative. However, the data shows that business-to-business (B2B) purchases of Chinese products in Indonesia are higher than purchases of products from other countries that are considered to have a better reputation. This research aims to study how the country of origin’s image plays a role in B2B purchase decision-making process of Chinese products. This research was conducted on B2B consumers who had bought production machines from China. The data obtained in this study are data from two companies of different sizes to be able to see differences and similarities in what factors concern purchases of Chinese production machines. Data is taken from the owners and managers of the two companies involved in the B2B purchasing decision making process. The two companies have also been buying and using Chinese production machines for more than one year so that they can provide information about product advantages and disadvantages. The results showed that the country of origin image was not a significant consideration in the B2B purchasing decision making process. The main factor to be considered is the ability of suppliers to provide products and services according to company needs

scholarly journals Online Consumers’ Brain Activities When Purchasing Second-Hand versus New Products That Are Brand-Name or Brand-Less

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 56
Author(s):  
Pei-Hsuan Hsieh ◽  
Fang-Ning Chang
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Online Auctions ◽  
Brain Activation ◽  
Decision Making Process ◽  
Brand Name ◽  
Purchasing Decisions ◽  
Purchasing Decision ◽  
Neuron Activation ◽  
Dorsolateral Prefrontal

It is now common to apply functional magnetic resonance imaging to explore which areas of the human brain are activated during the decision-making process. In the study of consumer behaviors, product brand has been identified as a major factor affecting consumer purchase decisions. Prior studies indicate that the brand had a significant impact on brain activation. However, it is unsure if consumers’ brain activation is also significant when purchasing brand-name second-hand products (SHPs). Therefore, the purpose of this study is to verify the areas of brain neuron activation in the context of online auctions among consumers whose purchasing decisions are affected by an SHP’s brand. The results show that a brain region (i.e., the medial prefrontal cortex) activates significantly when comparing the purchasing decision-making process between new items and SHPs. The activation of the insula is also found when an SHP purchasing decision is made. In addition, the dorsolateral prefrontal cortex is activated significantly when purchasing brand-name SHPs. However, due to consumers’ preferences for different brands, there is no significant activation in the ventromedial prefrontal cortex.

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