Development of a Partial Shipping Fees Pricing Model to Influence Consumers’ Purchase Intention under the COVID-19 Pandemic

Tsai, Cheng‐An; Chang, Che‐Wei

doi:10.3390/en15051846

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…Moreover, some delivery costs are borne by the clients. High cost of delivery will deter the clients from purchasing from the online retailers as delivery cost affects clients' intentions [39].…”

Section: Resultsmentioning

confidence: 99%

Multi-Criteria Decision Analysis on the Preference of Courier Service Providers with Analytic Hierarchy Process Model

Pei Fun Lee,

Weng Siew Lam,

Weng Hoe Lam

et al. 2023

ARASET

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The rising interest in E-commerce has increased the reliance on courier service providers in Malaysia. However, the logistical performances of the courier service providers in Malaysia still require improvement especially in the enhancement of information system adoption as the providers are suffering from bottlenecks in some hubs and centres which affect the satisfaction of clients and the reputation of the online retailers. Online retailers place high concern in the performances of the courier service providers as their services affect the sales and revenues of the online retailers. Therefore, the goal of this study is to propose a framework to determine and rank the factors that affect the selection of courier service providers among online retailers in Malaysia with Analytic Hierarchy Process (AHP) model. This study found that real time notification, cost and timeliness are the three most important factors of consideration while GDEX is the highly preferred courier service provider among the online retailers. This study can serve as a guide to the courier service providers to improve based on the top factors that influence the selection of their services.

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Section: Resultsmentioning

confidence: 99%

Multi-Criteria Decision Analysis on the Preference of Courier Service Providers with Analytic Hierarchy Process Model

Pei Fun Lee,

Weng Siew Lam,

Weng Hoe Lam

et al. 2023

ARASET

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show abstract

“…For this reason, in the last two years, much research has dealt with determining the price of delivery of goods to clients to their home addresses. In addition to the challenge of how to determine the price of the delivery of goods, there is also the question of how to determine the threshold amount that would enable free delivery, which is dealt with by Tsai and Chang in their paper [14]. Tsai and Chang propose a new pricing model that allows consumers to pay partial shipping fees.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Model for Determining the Price of Product Distribution Based on Fuzzy Logic

Grozdanović,

Gligorijević,

Andrejić

et al. 2023

Logistics

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Background: Distribution is a very important part of logistics and an activity that is present in every area today. One of the basic problems in distribution is how to correctly determine its price. For this reason, this paper presents a model created to determine the price of the product distribution service. Methods: The model first determines the base of the distribution price, which consists of a fixed and a variable part. The fixed part depends on the distance traveled, and the variable part is defined by fuzzy logic. To determine the variable part, a fuzzy logic system was created that depends on four input variables: inaccessibility of the client’s location, driving time, quantity of goods, and unloading time. The reason for applying fuzzy logic is its ability to set the distribution price for each client individually, without generalization. Certain criteria that affect the distribution price such as type of vehicle, quality of service, and type of goods, which could not be represented by fuzzy numbers, were considered as additional corrective factors. Results: The model was tested on hypothetical examples created by the authors from this field and on examples of company that provide distribution services. In the case study, a comparison was made between the distribution price obtained by applying the created fuzzy logic model and the price defined by the model used by the company "X". Conclusions: The model created in this way enables easy adaptation to constant changes in the prices of oil derivatives due to the COVID-19 pandemic and the war but also considers various unpredictable circumstances that may occur during delivery such as roadworks, crowds, vehicle breakdown, location inaccessibility due to bad weather, etc.

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“…TSCA analyzes the relationship between the factors influencing group purchasing and purchasing behavior. e results of feature analysis show that there are more likely to buy goods with more comments and less restrictions on consumer, which gives guiding suggestions to the business model of merchants [11]. Gang and Chenglin analyzed the behavioral characteristics of those who purchased books online and proposed a collaborative recommendation algorithm to find other with similar behaviors as the consumer who placed the order, so as to achieve the purpose of recommendation [12].…”

Section: Related Workmentioning

confidence: 99%

Prediction of Purchase Intention of High and Middle Potential Users in Luxury Hotels Based on Data Mining

2022

Mobile Information Systems

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In recent years, the term “big data” has attracted the attention of many scholars and business managers, and the emergence of massive data has ushered in a major transformation of the times. Service quality and customer repeat purchase intention are two of the hot issues in the field of service research. Clarifying the mechanism of the two can help enterprises establish long-term customer relations with more customers through the improvement of service quality, enhance their competitive strength, and improve enterprise performance. According to the actual consumer purchase data provided, the existing data sets are visually analyzed and processed to find the consumer purchase rules, build features and build a reasonable consumer purchase prediction experimental data set. Based on the obtained experimental data set, a single prediction model of consumer purchase is designed. According to the analysis of the instantiation results of the single prediction model, the single model consumed in the fusion model of consumer purchase prediction is determined. In order to demonstrate the viewpoints put forward, the research model is established, the research hypothesis is put forward, the questionnaire is designed by referring to the literature and field investigation, and the results of the questionnaire are empirically analyzed. Using the methods of descriptive statistical analysis, factor analysis, reliability and validity test, and regression analysis, the hypothesis that service quality has a direct impact on customer repeat purchase intention is verified.

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Development of a Partial Shipping Fees Pricing Model to Influence Consumers’ Purchase Intention under the COVID-19 Pandemic

Cited by 5 publications

References 30 publications

Multi-Criteria Decision Analysis on the Preference of Courier Service Providers with Analytic Hierarchy Process Model

Multi-Criteria Decision Analysis on the Preference of Courier Service Providers with Analytic Hierarchy Process Model

A New Model for Determining the Price of Product Distribution Based on Fuzzy Logic

Prediction of Purchase Intention of High and Middle Potential Users in Luxury Hotels Based on Data Mining

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