Factors affecting customer satisfaction on online shopping holiday

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shian-Yang Tzeng ◽  
Myriam Ertz ◽  
Myung-Soo Jo ◽  
Emine Sarigöllü
Keyword(s):  
Customer Satisfaction ◽  
Consumer Satisfaction ◽  
Information Quality ◽  
Online Shopping ◽  
Theory And Practice ◽  
Two Phase ◽  
Content Type ◽  
Product Return ◽  
Retail Service ◽  
Consumer Dissatisfaction

PurposeSingles' Day (SD) in China is the world's biggest online shopping event while consumer dissatisfaction is also on the rise. Both theory and practice need sharper insights to foster consumer satisfaction, but such knowledge remains sparse in the literature. The current study addresses this void by assessing the effects of online and offline retail service features on consumer satisfaction with SD.Design/methodology/approachA two-phase survey was implemented before and after the SD online shopping holiday, with 594 participants in China. Respondents were randomly selected from unique proprietary databases of merchants in the top-five online product categories in China.FindingsThe findings show that information quality, product quality and savings improve, but product return worsens, customer satisfaction with the online shopping holiday. However, good after-sale service can ease the product return process thereby boosting customer satisfaction.Originality/valueThis paper addresses a research void by studying effectiveness of retail service features on consumer satisfaction with online shopping festivals.

scholarly journals CUSTOMER SATISFACTION IN ONLINE SHOPPING: A CASE STUDY OF BANGKOK URBAN AREA

2018 ◽  
pp. 13-23
Author(s):  
Irina Onyusheva ◽  
Jatuporn Thongaim
Keyword(s):  
Customer Satisfaction ◽  
Urban Area ◽  
Consumer Satisfaction ◽  
Online Shopping ◽  
The Internet ◽  
Sales Channel ◽  
Demand Growth ◽  
Online Retailers ◽  
Customer Survey

This study aims to measure customer satisfaction in online shopping. Along with the increasing usage of the Internet, e-commerce has emerged as a relatively new sales channel in Thailand. Consumer satisfaction and reputation are most important parts of online shopping, both contributing greatly to future demand growth. Trust in online shopping is the major difficulty due to inability to touch the product before purchasing. This factor can also effect customer satisfaction and customer behaviour in relation to various products and services. The purpose of this research is achieved by means of using the online customer survey in Bangkok urban area, Thailand. Some recommendations are addressed to online retailers, namely, it is offered to take more responsibility for the online shopping process so that to make it more admired and trustworthy.

Exploring stickiness intention of B2C online shopping malls

2018 ◽  
Vol 14 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Zheshi Bao ◽  
Taozhen Huang
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Online Shopping ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Flow Experience ◽  
Shopping Malls ◽  
Mediation Effects ◽  
Content Type ◽  
Online Consumers

Purpose The purpose of this paper is to explore the roles of flow experience and e-trust in online consumers’ stickiness intentions from a perspective of information quality and discuss how to retain these consumers. Design/methodology/approach The authors proposed a research model by integrating three dimensions of information quality, flow experience and e-trust. These factors were analyzed to explore the direct and indirect effects on consumers’ stickiness intention. Online questionnaires were adopted to collect data and 259 valid samples were analyzed by structural equation modeling approach. Findings The findings show that information quality provided by B2C online shopping malls can indirectly affect consumers’ stickiness intention through the mediation effects of flow experience and e-trust. Besides, flow experience can also significantly affect e-trust and then indirectly influence stickiness intention. Research limitations/implications The findings suggest that information quality can trigger the effects of flow experience and e-trust to keep stickiness of online consumers. Besides, in the context of online shopping, flow experience would promote consumers’ trust toward e-retailers. Some other theoretical and practical implications are also provided. Originality/value This study indicates the effects of flow experience and e-trust on stickiness intention from an information quality perspective. Meanwhile, the authors also intend to discuss the relationship between consumers’ flow experience and e-trust in the context of B2C online shopping.

scholarly journals Customer Satisfaction in Online Shopping in Growing Markets

2020 ◽  
Vol 11 (1) ◽  
pp. 78-91 ◽  
Author(s):  
Syed Shah Alam ◽  
Mohd Helmi Ali ◽  
Nor Asiah Omar ◽  
Wan Mohd Hirwani Wan Hussain
Keyword(s):  
Customer Satisfaction ◽  
Customer Service ◽  
Information Quality ◽  
Online Shopping ◽  
Positive Influence ◽  
Factors Affecting ◽  
Service Information ◽  
Online Retailers ◽  
Study Results ◽  
Quality Response

The aim of this study is to examine the factors affecting customer satisfaction in online shopping. The conceptual model for this study was developed based on the previous research in the online shopping context. In this research, ten hypotheses on factors affecting customer satisfaction in online shopping are outlined with empirical data from 337 respondents. Data was collected through a Google form. The regression results show that customer service, information quality, response time, transaction capability, delivery, merchandise attributes, security/privacy, convenient payment method, and price have significant positive influence on customer satisfaction in online shopping. From a managerial viewpoint, this study results provide support for investment decisions for customer satisfaction from online retailers in Malaysia.

Factors affecting online repurchase intention

2014 ◽  
Vol 114 (4) ◽  
pp. 597-611 ◽  
Author(s):  
Chinho Lin ◽  
Watcharee Lekhawipat
Keyword(s):  
Customer Satisfaction ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Self Report ◽  
Repurchase Intention ◽  
Content Type ◽  
Shopping Experience ◽  
Online Shoppers ◽  
The Impact

Purpose – The purpose of this paper is to investigate the effects of online shopping experience and habit in relation to adjusted expectations for enhancing online repurchase intention. Design/methodology/approach – The authors employed partial least square (PLS) as a technique used to analyze the measurement and structural models. Data for this research were collected from 240 Taiwanese online shoppers who had experienced online shopping at least four times. Findings – The result of this study indicates that online shopping habit acts as a moderator of both customer satisfaction and adjusted expectations, whereas online shopping experience can be considered a key driver for customer satisfaction. Furthermore, the research findings confirm that customer satisfaction is a vital driver of adjusted expectations and online repurchase intention. Adjusted expectations do mediate the impact of online repurchase intention. Research limitations/implications – This paper highlights the effect of online shopping experience and online shopping habit on enhancing repurchase intention. The result implies that the acquisition of usage experience and spontaneous purchases not only leads to higher customer satisfaction and customer expectations, but also strengthens online repurchase intention. The use of self-report scales suggests the possibility of a common method bias. Future studies may further test the robustness of this study in the interplay of experience and habit to shed more light on their relative importance in explaining online repurchase intention. Originality/value – This study extends expectancy-disconfirmation paradigm, especially in the context of online shopping, by emphasizing cognitive, affective, and behavioral change on the attitude-intention behavior of online shoppers.

How do wet markets still survive in Taiwan?

2015 ◽  
Vol 117 (1) ◽  
pp. 234-256 ◽  
Author(s):  
Chi-tsun Huang ◽  
Kuen-Hung Tsai ◽  
Yu-Chih Chen
Keyword(s):  
Food Quality ◽  
Consumer Satisfaction ◽  
Critical Role ◽  
Partial Least Square ◽  
Least Square ◽  
Food Retailing ◽  
Content Type ◽  
Retail Service ◽  
Store Design ◽  
Fierce Competition

Purpose – The purpose of this paper is to answer why wet markets still survive in Taiwan while facing to fierce competition from western-style supermarkets. Design/methodology/approach – The authors adopt the perspectives of retail service to develop a model to address how food quality, relational benefit, and personnel service affect consumers’ satisfaction. A sample of 250 consumers was surveyed in a major wet market at Taiwan. Findings – The results obtained from the partial least square (PLS) method reveal that food quality and relational benefit positively affect consumers’ satisfaction, and the effects of these increase with time; employee service has a positive effect on consumers’ satisfaction, but the effect decreases with time; and the ambience does affect consumer satisfaction, but the store design does not. Originality/value – This paper provides empirical answers to the question about why wet markets still play a critical role in the food retailing industry in a newly industrial economy where consumer’ tastes are supposed to be more westernized or so-called ‘supermarketized’ four decades after the introduction of supermarkets.

The effectiveness of perceived social support in discount stores in Korea

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chanho Song ◽  
Haakon T. Brown ◽  
Rahmatullah Rami Tameez
Keyword(s):  
Social Support ◽  
Customer Satisfaction ◽  
Purchase Intention ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Equation Model ◽  
Content Type ◽  
Discount Stores

PurposeThe purpose of this study is to bridge the gap in literature to examine social support that customers receive from their relationships with frontline service providers in discount stores.Design/methodology/approachIn total, 381 consumers are accessed through an online survey administered by an online research company in South Korea. The authors use the structural equation model (SEM) technique to test the proposed hypotheses.FindingsSocial support (emotional, instrumental, informational and appraisal) significantly influences customer satisfaction in discount stores. In addition, customer satisfaction significantly influences word of mouth (WOM) and purchase intention.Originality/valueVery few studies have addressed the relationship between social support and consumer satisfaction in the discount store industry. This research helps to understand that social support is a basic consideration for customers of discount stores when they are shopping.

Investigating the impact of ECRM success factors on business performance

2019 ◽  
Vol 31 (1) ◽  
pp. 105-127 ◽  
Author(s):  
Hani H. Al-Dmour ◽  
Raed Salah Algharabat ◽  
Rawan Khawaja ◽  
Rand H. Al-Dmour
Keyword(s):  
Customer Satisfaction ◽  
Commercial Banks ◽  
Business Performance ◽  
Information Quality ◽  
Success Factors ◽  
Customer Retention ◽  
System Support ◽  
Content Type ◽  
Customer Information ◽  
Customer Trust

Purpose The purpose of this paper is to develop an integrated framework to explore the influences of electronic customer relationship management (ECRM) success factors (process fit, customer information quality and system support) on customer satisfaction, customer trust and customer retention, which, in turn, impact upon the business financial performance of Jordanian commercial banks in Amman city. Design/methodology/approach Using a sample of 343 branch managers, assistant branch managers and heads of departments in Jordanian commercial banks, who answered a self-administrated questionnaire, data were collected and analysed using structural equation modelling (AMOS 17.0). Findings The results showed that the ECRM success factors (process fit, customer information quality and system support) positively affected customer satisfaction, customer trust and customer retention. Furthermore, the authors discovered that customer satisfaction and customer trust positively influenced customer retention. It was determined that customer satisfaction, customer trust and customer retention positively impact on a business’s financial performance. Originality/value Previous research lacks the link between ECRM success factors and business performance (financial and non-financial).

Empirical study on the evaluation model of public satisfaction with typhoon disaster information disclosure

Kybernetes ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 1704-1720 ◽  
Author(s):  
Zufeng Zhong ◽  
Yaoqing Duan
Keyword(s):  
Latent Variables ◽  
Information Disclosure ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Evaluation Model ◽  
Exponential Model ◽  
Content Type ◽  
Disaster Information ◽  
The Government

Purpose The purpose of this paper is to study major influencing factors on public satisfaction with regard to information disclosure amid typhoon disasters. Internal latent variables, including disaster information quality, information disclosure channels and disaster perception levels, significantly affected the degree of public satisfaction, which was key factors in determining account consumer satisfaction. Design/methodology/approach By conducting the questionnaire survey in typhoon-prone areas, 326 copies of the questionnaire about public satisfaction towards government information disclosure about typhoon were collected. An exponential model of satisfaction about information disclosure amid typhoon disasters was constructed and analyzed through the selection of latent variables, the hypotheses of the structural relationship and the establishment of measurable variables. Findings Disaster information quality, disaster information disclosure channels and disaster perception levels were all positively correlated with the dimensions of information performance perception dimensions. Public expectations also made positive contributions to public satisfaction. These findings strongly support the hypothesis that public satisfaction affects the government image and public trust. Originality/value With the Leizhou Peninsula, China attacked by the typhoon disasters as an example, the SEM was adopted to simulate the routes and its feasibility and scientificity were validated. It is valuable to build and analyze an evaluation model based on a structural equation model underlying the public satisfaction towards information disclosure amid typhoon disasters.

The Study of Customer Satisfaction of Shopee Customers In Malaysia

2021 ◽  
Vol 1 (2) ◽  
pp. 30-44
Author(s):  
Kah Boon Lim ◽  
Yeo Sook Fern ◽  
Hardave Singh Kler A/l Bhajan Singh
Keyword(s):  
Customer Satisfaction ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Electronic Word Of Mouth ◽  
Website Quality

The main objective of this study is to investigate the factors affect customer satisfaction level among Shopee customers in Malaysia. A set of self-administered questionnaires has been distributed to 200 targeted Shopee users in three states of Malaysia which are Johor, Melaka and Selangor. The five independent variables, which are price, trust, electronic word of mouth, website quality and security have been tested on their relationship towards the dependent variable, which is consumer satisfaction towards online shopping platform, Shopee in Malaysia. The collected data were keyed into SPSS version 25 and followed by using Partial Least Square Structural Equation Modeling (PLS-SEM 3.2.8) to assess the hypothesis. The result of this research given the feedbacks where trust, electronic word of mouth and website quality have significant effect towards consumers satisfaction on Shopee in Malaysia. However, price and security does not show a significant relationship with Shopee’s consumer satisfaction. In conclusion, this study helps to better understand the consumer satisfaction of Shopee’s online shopping services in Malaysia.

The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaolong Sun ◽  
Fuxin Jiang ◽  
Gengzhong Feng ◽  
Shouyang Wang ◽  
Chengyuan Zhang
Keyword(s):  
Text Mining ◽  
Customer Satisfaction ◽  
Consumer Satisfaction ◽  
Topic Model ◽  
Hotel Industry ◽  
Online Reviews ◽  
Control Measures ◽  
Content Type ◽  
Before And After ◽  
The Impact

Purpose The purpose of this study is to provide better service to hotel customers during the COVID-19 era. Specifically, this study focuses on understanding the changes in hotel customer satisfaction during the epidemic and formulating effective marketing strategies to satisfy and attract guests. Design/methodology/approach As the first victim of the COVID-19 virus, China’s hotel industry has been profoundly affected and customer satisfaction and needs have also changed. Taking 105,635 hotel reviews obtained from Tripadvisor.com in Beijing and Shanghai as samples, this study explores the changes in consumer satisfaction by using text-mining methods. Findings The results suggest that there are significant differences in overall ratings, spatial distribution and ratings of different traveller types before and after the epidemic. Generally, customers have higher “tolerance” and are more inclined to give higher ratings and pay more attention to hotel prevention and control measures to reduce health risks after the COVID-19. Research limitations/implications This paper proves the changes in customer satisfaction before and after the COVID-19 at the theoretical level and reveals the changes in customer attention through the topic model and provides a basis for guiding hotel managers to reduce the impact of the COVID-19 crisis. Practical implications Empirical findings would provide useful insights into tourism management and improve hotel service quality during the COVID-19 epidemic era. Originality/value This research explores the hotel customer satisfaction in the field of hotel management before COVID-19 and after COVID-19, by using text mining to analyse mandarin online reviews. The results of this study will suggest that the hotel industry should continuously adjust its products and services based on the effective information obtained from customer reviews, so as to realize the activation and revitalization of the hotel industry in the epidemic era.

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