FACTORS INFLUENCING HOME BUYERS’ PURCHASE DECISIONS IN KLANG VALLEY, MALAYSIA

2020 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
JieSheng Mang ◽  
Rozlin Zainal ◽  
Indera Syahrul Mat Radzuan
Keyword(s):  
Purchase Decision ◽  
Purchase Decisions ◽  
Structure Space ◽  
Factors Influencing ◽  
Klang Valley ◽  
Housing Industry ◽  
House Structure ◽  
Research Studies

Focusing on Klang Valley, this research studies the outcome of house purchase factors in Malaysia. This research identifies the house purchase factors that affect home buyers’ purchase decisions. The researcher collected data using SurveyMonkey by using a questionnaire to elicit the opinions of Klang Valley residents on housing purchase factors and purchase decision. The factors were evaluated and studied to identify their influence on home buyers’ purchase decision. Findings show that home buyers’ purchase decision are influenced by house structure, space, finance, location, and neighbourhood factors. The findings have laid a foundation for the housing industry to improve.

Merchants Competing on E-Commerce Platforms

2022 ◽  
pp. 204-230
Author(s):  
Atilla Wohllebe
Keyword(s):  
Online Survey ◽  
Relevant Literature ◽  
Distribution Channel ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Delivery Time ◽  
Structured Interviews ◽  
Related Factors ◽  
Factors Influencing ◽  
Central Factors

The importance of marketplaces in e-commerce has increased. More and more merchants are trying to use e-commerce platforms as a distribution channel. With the increasing competition, merchants are faced with the challenge of continuing to sell their products to consumers through marketplaces at a profit. This is especially true if the consumer has already chosen a certain product and now only decides from which merchant to buy the product. This chapter therefore examines for different customer segments which merchant-related factors — also and in particular apart from the price — influence the purchase decision. After reviewing relevant literature, various factors are identified through structured interviews. An online survey is then used to simulate a total of 3,485 purchase decisions with different factor characteristics. In addition to the price, the ratings of a merchant and the delivery time are identified as central factors influencing the purchase decision.

Do Star Ratings Matter?

2020 ◽  
Vol 11 (4) ◽  
pp. 40-55
Author(s):  
Gauri Joshi ◽  
Vasundhara Sen ◽  
Monica Kunte
Keyword(s):  
Energy Consumption ◽  
Family Involvement ◽  
Energy Efficient ◽  
Qualitative Approach ◽  
Environmental Concerns ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Energy Usage ◽  
Factors Influencing

Increasing environmental concerns have resulted in consumers indulging in conserving energy by curtailing energy usage rather than switching to energy efficient practices. Energy efficient appliances (EEAs) offer the dual advantages of appliance usage with reduced energy consumption. Research suggests that use of such appliances, in residences is limited. This study was thus undertaken to understand individual resident's awareness towards EEAs and factors influencing their purchase. A qualitative approach consisting of 31 personal interviews were conducted with individuals from socio-economic categories A1, A2 and B1. While awareness of EEAs was present among respondents; benefits of using such appliances were neither widely known nor easily quantifiable. Purchase decisions were ruled by appliance price but did not deter adoption, the availability of appliances in desired aesthetics and family involvement in purchase decision. Higher penetration of such appliances can be ensured if consumers can estimate exact savings in monthly electricity bills due to EEAs at the time of purchase.

FACTORS INFLUENCING RIDERSHIP PREFERENCE IN USING LRT SERVICE IN KLANG VALLEY, MALAYSIA

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Rohayu Ab Majid ◽  
Rosli Said ◽  
Jamalunlaili Abdullah ◽  
Rohana Ngah ◽  
Qi Jie Kwong
Keyword(s):  
Light Rail ◽  
Negative Effects ◽  
Chi Square ◽  
The Public ◽  
Factors Influencing ◽  
Transportation Service ◽  
Design Attributes ◽  
Site Design ◽  
Klang Valley ◽  
Main Components

Light Rail Transit (LRT) is one of the public transports that provides a lot of benefits to the Malaysian. Yet this consumption depends on the diverse tastes of potential ridership which are influenced by various factors. However, it is very challenging to predict significant factors influencing ridership preferences. As such, the identification of these factors is very important in ensuring this transportation service really attract ridership attention. Thus, this paper intends to identify the main factors that influence ridership preference in taking LRT transportation. 28 attributes have been identified in this research which expands from four (4) main components. Data were collected from ridership’s survey, site observations and ridership statistical data. Pearson Chi-square has been employed to justify the significant status and the influence level of each LRT attribute and component factors toward ridership preference. The results show that 23 attributes recorded a significant status (<0.00) in two (2) different directions of correlation. Overall, three (3) component factors namely i) Comfortable Service, ii) Economics and iii) Indoor Environment Conditions, have influenced and contributed to the same effect on ridership considerations, as compared to the negative effects displayed by the Site Design Attributes.

scholarly journals The Effect of Performance, Price Perception, Brand Image, and Brand Association on Purchase Decision of Honda CBR150R in Surabaya

2021 ◽  
Vol 4 (1) ◽  
pp. 97-107
Author(s):  
Ponta Dewa Saktiawan ◽  
Soni Harsono
Keyword(s):  
Automotive Industry ◽  
Brand Image ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Inclusion Criteria ◽  
Price Perception ◽  
Brand Association ◽  
Negative Effect ◽  
Correlational Data ◽  
Positive Effect

 In the automotive industry, the consumer purchase decision is the most important aspect of the company's life cycle because it can affect profitability, especially for Honda CBR 150R. This study aims to analyze the effect of performance, price perception, brand image, and brand association on the purchase decision of Honda CBR 150R in Surabaya. The research design is descriptive-correlational. Data were collected by distributing 113 questionnaires to the respondents who met the inclusion criteria. The data were analyzed using multiple regression analysis. This research shows that performance and price perception have a negative effect on purchase decisions, but not significantly. The brand image has a positive effect on the purchase decision, but not significantly. On the other hand, the brand association has a positive and significant effect on a purchase decision. It can be concluded that brand association is the most important aspect in Honda CBR 150R purchase decision.

scholarly journals The Effect of Electronic Word-of-Mouth in Social Media toward Consumer Purchase Decision with Brand Image as Moderating Variable

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
ANINDYA PRAMESTIARA ◽  
RAHAB RAHAB
Keyword(s):  
Social Media ◽  
Research Method ◽  
Word Of Mouth ◽  
Brand Image ◽  
Purchase Decision ◽  
Sampling Techniques ◽  
Purchase Decisions ◽  
Electronic Word Of Mouth ◽  
Exchange Information

Social media has made it possible for users to exchange information and discuss theiropinions and experiences about products or services through online on their social mediaplatform with their peers. This kind of communication is called as electronic word-of-mouth(e-WOM) where the information can be spread faster and has the potential for greaterimpact on consumers purchase decision. Therefore, the aim of this research is to know theeffect of e-WOM (including quality and quantity of e-WOM as well as sender’s expertise) insocial media on consumers’ purchase decisions moderated by brand image. The researchmethodology used for this study is a case study with survey research method. Conveniencesampling technique derived from non-probability sampling techniques are used for sampleselection. The sample of this research is 175, from people who have purchased and usedEtude House product. Statistical software SPSS and AMOS is used to analyze the data. Thefindings in this area will help Etude House and other marketers to reach out its potentialcustomers and align their marketing effort in efficient way by pay attention on the marketingpolicies about eWOM. The limitations of the research is some respondents not read andanswer the question clearly and made it not represent their exact perception.

scholarly journals Pengaruh Kualitas Produk, Promosi, dan Citra Merek terhadap Keputusan Pembelian Kopi Merek Moola Pedawa

2021 ◽  
Vol 7 (1) ◽  
pp. 56
Author(s):  
Vika Ervina ◽  
Made Ary Meitriana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Product Quality ◽  
Brand Image ◽  
Sampling Technique ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Collection Method ◽  
Analysis Technique ◽  
Quality Promotion

The purpose of this study was to discover the effect of product quality, promotion and brand image on the purchase decision of Moola Pedawa Coffee. This type of research is associative with a quantitative approach. The population was customers who have bought and consumed Moola Pedawa Coffee for 384 respondents, collected by the purposive sampling technique. The data collection method was using questionnaires. The data analysis technique was using multiple linear regression. Hypothesis tests were conducted using the t test and f test. The results showed that partially and simultaneously product quality, promotion, and brand image have a positively effect on purchase decisions

scholarly journals Effect of E-Trust and Marketing Public Relation on Customer's Purchasing Decision on the E-Commerce Market (Study on Lotte Mart Grosir Medan Customers)

2021 ◽  
Vol 8 (8) ◽  
pp. 704-711
Author(s):  
Ica Cahyanti ◽  
Amrin Fauzi ◽  
Endang Sulistya Rini
Keyword(s):  
Data Analysis ◽  
Public Relations ◽  
Sampling Method ◽  
Consumer Trust ◽  
Purchase Decision ◽  
Business Relationship ◽  
Collection Method ◽  
Purchasing Decision ◽  
Special Events ◽  
Factors Influencing

Purchase decision is a stage that a buyer makes to choice and purchase products and then consume them. Many factors influencing on the purchase decision including e-trust and marketing public relations. Consumer trust (e-trust) is one of the factors in e-commerce that plays an important role to maintain business relationship, especially e-commerce businesses that require consumers to pay before receiving an order. Another factor that influences online purchasing decision is marketing public relations. The present study is a survey using an associative quantitative approach aimed at determining the effect of E-trust, publicity, sponsorship and special events on purchasing decision of products offered by Lotte Mart Grosir Medan. The population included all Lotte Mart Grosir Medan consumers who have used the Lotte Mart Grosir online purchasing application during 2019 as of 2174. The sampling method used an accidental sampling resulting in 96 samples. The data collection method used a questionnaire. The collected data were then analyzed by using a multiple linear regression. The results of research and data analysis show that the factors of E-trust, publicity, sponsorship and special events have a positive and significant effect on purchasing decision. E-trust partially has a positive and significant effect on purchasing decision. Publicity partially has a positive and significant effect on purchasing decision. Sponsorship partially has a positive and significant effect on purchasing decision. Special events partially has a significant influence on purchasing decision. It is suggested to the Lotte Mart Grosir Medan to simply the website application to customer or prospective customer can easily apply the website to know products and to make transactions. Keywords: E-trust, Marketing Public Relations, Online Purchasing Decision.

Engineering Social Learning: Information Design of Time-Locked Sales Campaigns for Online Platforms

2021 ◽  
Author(s):  
Can Küçükgül ◽  
Özalp Özer ◽  
Shouqiang Wang
Keyword(s):  
Information Design ◽  
Information Policy ◽  
Purchase Decision ◽  
Purchase Decisions ◽  
Short Term ◽  
Online Platforms ◽  
Fixed Prices ◽  
Cumulative Difference ◽  
Heuristic Policy

Many online platforms offer time-locked sales campaigns, whereby products are sold at fixed prices for prespecified lengths of time. Platforms often display some information about previous customers’ purchase decisions during campaigns. Using a dynamic Bayesian persuasion framework, we study how a revenue-maximizing platform should optimize its information policy for such a setting. We reformulate the platform’s problem equivalently by reducing the dimensionality of its message space and proprietary history. Specifically, three messages suffice: a neutral recommendation that induces a customer to make her purchase decision according to her private signal about the product and a positive (respectively (resp.), negative) recommendation that induces her to purchase (resp., not purchase) by ignoring her signal. The platform’s proprietary history can be represented by the net purchase position, a single-dimensional summary statistic that computes the cumulative difference between purchases and nonpurchases made by customers having received the neutral recommendation. Subsequently, we establish structural properties of the optimal policy and uncover the platform’s fundamental trade-off: long-term information (and revenue) generation versus short-term revenue extraction. Further, we propose and optimize over a class of heuristic policies. The optimal heuristic policy provides only neutral recommendations up to a cutoff customer and provides only positive or negative recommendations afterward, with the recommendation being positive if and only if the net purchase position after the cutoff customer exceeds a threshold. This policy is easy to implement and numerically shown to perform well. Finally, we demonstrate the generality of our methodology and the robustness of our findings by relaxing some informational assumptions. This paper was accepted by Gabriel Weintraub, revenue management and market analytics.

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