scholarly journals Customer Experience and Satisfaction of Disneyland Hotel through Big Data Analysis of Online Customer Reviews

2021 ◽  
Vol 13 (22) ◽  
pp. 12699
Author(s):  
Xiaobin Zhang ◽  
Hak-Seon Kim
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Linear Regression Analysis ◽  
Customer Experience ◽  
Future Research ◽  
Significant Information ◽  
Customer Reviews ◽  
Online Customer Reviews

Online customer reviews have become a significant information source for scholars and practitioners to understand customer experience and its association with their satisfaction to maintain the sustainable development of relative industries. Thus, this study attempted to find the underlying dimensionality in online customer reviews reflecting customers experience in the Hong Kong Disneyland hotel and identified its relationship with customer satisfaction. Semantic network analysis by Netdraw and factor analysis and linear regression analysis by SPSS 26.0 (IBM, New York, NY, USA) were applied for data analysis. As a result, 70 keywords with high frequency were extracted, and their connection to each other was calculated based on their centralities. Consequently, seven factors were explored by exploratory factor analysis, and moreover, three factors, “Family Empathy”, “Value”, and “Food Quality”, were testified to be negatively related to customer satisfaction. The findings of this study, to a great extent, could be utilized as a research scheme for future research to investigate theme hotels with big data analytics of online customer reviews. More importantly, some new insights and practical implications for the future research and industry development were provided and discussed as well.

scholarly journals A Comprehensive Survey on Local Differential Privacy

2020 ◽  
Vol 2020 ◽  
pp. 1-29 ◽  
Author(s):  
Xingxing Xiong ◽  
Shubo Liu ◽  
Dan Li ◽  
Zhaohui Cai ◽  
Xiaoguang Niu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Statistical Learning ◽  
Data Privacy ◽  
Statistical Estimation ◽  
Differential Privacy ◽  
Future Research ◽  
Reference Source ◽  
Complex Data ◽  
Comprehensive Survey

With the advent of the era of big data, privacy issues have been becoming a hot topic in public. Local differential privacy (LDP) is a state-of-the-art privacy preservation technique that allows to perform big data analysis (e.g., statistical estimation, statistical learning, and data mining) while guaranteeing each individual participant’s privacy. In this paper, we present a comprehensive survey of LDP. We first give an overview on the fundamental knowledge of LDP and its frameworks. We then introduce the mainstream privatization mechanisms and methods in detail from the perspective of frequency oracle and give insights into recent studied on private basic statistical estimation (e.g., frequency estimation and mean estimation) and complex statistical estimation (e.g., multivariate distribution estimation and private estimation over complex data) under LDP. Furthermore, we present current research circumstances on LDP including the private statistical learning/inferencing, private statistical data analysis, privacy amplification techniques for LDP, and some application fields under LDP. Finally, we identify future research directions and open challenges for LDP. This survey can serve as a good reference source for the research of LDP to deal with various privacy-related scenarios to be encountered in practice.

scholarly journals THE EFFECTS OF PSYCHOLOGICAL CAPITAL, PERSONALITY ON HOTEL STAFF WORKING ENGAGEMENT AT HO CHI MINH CITY

2020 ◽  
Vol 1 (37) ◽  
pp. 12-23
Author(s):  
Giao Khanh Nam Ha ◽  
Anh Diep Tram Huynh ◽  
Ngan Thi Kim Nguyen ◽  
Tung Son Nguyen ◽  
Phuc Pham Hanh Nguyen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Psychological Capital ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Ho Chi Minh City ◽  
Viet Nam ◽  
Research Outcomes

The research was conducted to determine the effects of psychological capital on the personality on hotel staff working in an engagement setting in Ho Chi Minh City, Viet Nam. Data was collected by surveying 378 staffs who are working in hotels in Ho Chi Minh City which are rated 3 stars or more. Descriptive analysis, exploratory factor analysis, and linear regression analysis were used with SPSS 20 statistical package for data analysis. The results show that all psychological capital factors, including hope, efficacy, resilience and optimism have hadpositive impacts on hotel staffs’ work ethic. The study also demonstrated the effects of personality on the hotel staffs’ engagement with their work. The research outcomes suggest some managerial solutions to management problems by adapting psychological capital data and to take into consideration the personality of staff to enhance employees  working in engagement settings in Ho Chi Minh City.

scholarly journals PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP KEPUASAN PELANGGAN

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Dr. Hotma Napitupulu
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Questionnaire Method

<p><em>This research is intended to examine the effect of price and product quality on customer satisfaction both partially and simultaneously at PT Sophie Paris Indonesia, Pondok Gede branch. The research method used is descriptive and verification research methods. Data was collected using the questionnaire method, and data analysis used was multiple linear regression analysis. The results showed that price, product quality and customer satisfaction.<br /><br /></em></p>

Team-Level Constructs

2019 ◽  
Vol 6 (1) ◽  
pp. 325-348
Author(s):  
David Chan
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Future Research ◽  
Methodological Issues ◽  
Research Directions ◽  
Substantive Content ◽  
Multilevel Research ◽  
Future Research Directions ◽  
Changes Over Time ◽  
Over Time

Studies of team-level constructs can produce new insights when researchers explicitly take into account several critical conceptual and methodological issues. This article explicates the conceptual bases for multilevel research on team constructs and discusses specific issues relating to conceptual frameworks, measurement, and data analysis. To advance programmatic research involving team-level constructs, several future research directions concerning issues of substantive content (i.e., changes in the nature of work and teams, member-team fit, linking team-level constructs to higher-level constructs) and strategic approaches (i.e., the construct's theoretical roles, dimensionality and specificity, malleability and changes over time, relationships with Big Data) are proposed.

scholarly journals Analisis Pengaruh Customer Experience dan Promosi Penjualan Terhadap Kepuasan Pelanggan dan Minat Beli Ulang Pada Starbucks Coffee di Pontianak : Perspektif B2C

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
ERIK JUNIWATI HERIYADI
Keyword(s):  
Data Analysis ◽  
Customer Satisfaction ◽  
Customer Experience ◽  
Sales Promotion ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
P Value ◽  
Test Model ◽  
Online Questionnaire ◽  
The Impact

This research aims to know the influence of customer experience, sales promotion, customer satisfaction and re-purchase interest on Starbucks Coffee.The research was conducted in Pontianak City, using a sample size of 100 people.The sampling technique used is Non Probability Sampling by sampling method is Purposive Sampling.Data obtained by conducting online questionnaire and data analysis method with SEM-PLS using software WarpPLS 6.0 data analysis techniques used in the form of validity test, reliability test, model goodness test, T test and Sobel test.The results of this research show that the customer experience and sales promotion have positive and significant effect on customer satisfaction with a coefficient of determination value of 61%.Customer experience, sales promotions and customer satisfaction have a positive and significant effect on the interest of repurchase with a coefficient of determination of 54.2%.Customer satisfaction is capable of positively and significantly the impact of customer experience on repurchase interest with a P-value value of 0.002. Customer satisfaction does not efficiently and positively and significantly influence the sales promotion to a repurchase interest with a P-value of 0.127.Starbucks Coffee is expected to provide and improve the better service to its customers so as to create customer experience that is expected by the customer and provide a sales promotion that is in accordance with the expectations of consumers so as to have an impact on the interest in buying consumers at Starbucks Coffee in Pontianak.

scholarly journals The Effect of Ease of Shopping, Online Customer Reviews and Maslahah Perceptions on Gen Z Online Shopping Decisions (Case Study Of UINSI and UMKT Samarinda Students)

2021 ◽  
Vol 1 ◽  
pp. 179-193
Author(s):  
Rogaina Rogaina ◽  
Tikawati Tikawati
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Online Shopping ◽  
Field Research ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Independent Variable

This study aims to examine and analyse the effect of ease of shopping, online customer reviews and perceptions of maslahah on online shopping decisions among UINSI and UMKT Samarinda students. The type of research used is field research. The sample in this study was 198 people who had shopped online. The method of collecting data is a questionnaire is distributed online using Google form. Data analysis used multiple regression analysis. The results showed that of the three variables of ease of shopping, online customer review and perception of maslahah simultaneously affect online shopping decisions. From the calculation of SPSS 23. For the Ftest, it is known that Fcount = 187.146 > Ftable 2.65 with a significance of 0.000 < 0.5. Partially, it is known that the ease of shopping, online customer reviews and the perception of maslahah have a significant effect of online shopping decisions. In addition to the Ftest and t-test, the R2 test is known to have an R square value of 0.743 which means the magnitude of the independent variable 74.3%.

scholarly journals IoT-Fog-Cloud system architecture for big data analysis and cybersecurity systems: a review of fog computing, the introduction to the Internet of Things audit

2020 ◽  
Author(s):  
D. R. Kolisnyk ◽  
◽  
K. S. Misevych ◽  
S. V. Kovalenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
System Architecture ◽  
Fog Computing ◽  
Big Data Analysis ◽  
Future Research ◽  
The Internet ◽  
Security Issues ◽  
The Internet Of Things

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

scholarly journals PENGARUH KECEPATAN LAYANAN DAN KERAMAHAN LAYANAN TERHADAP KEPUASAN PELANGGAN DIRUMAH KOPI LAMONGAN

2020 ◽  
Vol 12 (2) ◽  
pp. 136-148
Author(s):  
Moh Azus Shony Azar ◽  
Achmad Efendi
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Collection Method ◽  
Influential Variable ◽  
Positive Effect

: This research to analyze the effect of service speed and service friendliness on the satisfaction of Lamongan coffee house customers. The sample in this study were 100 respondents. Data collection method in this study is questionnaire and documentation study. The method of data analysis uses descriptive quantitative methods, namely with multiple linear regression analysis and classical assumption tests.Based on the F test results obtained F-count is greater than F-count 204.254> F table value = 3.09, service speed and service friendliness together have a positive effect on customer satisfaction. Based on the T Test Service speed (X1) has a positive and significant effect on customer satisfaction, Service friendliness (X2) has a positive and significant impact on customer satisfaction. Service speed is the most influential variable on customer satisfaction. Through testing the Determination Coefficient by adjusted R Square (R2) 80.4%, customer satisfaction can be explained by variable service speed and service friendliness, while 19.6% performance can be explained by other variables not examined by this study.

scholarly journals The Mediating Role of Customer Experience on the Relationship between Online Shopping Determinants and Customer Satisfaction in Vietnam

2021 ◽  
pp. 5-8
Author(s):  
Anh Tuan Pham ◽  
◽  
Khashayar Yazdani
Keyword(s):  
Factor Analysis ◽  
Customer Satisfaction ◽  
Online Shopping ◽  
Technical Problem ◽  
Customer Experience ◽  
Equation Modeling ◽  
Sufficient Information ◽  
Mediating Role ◽  
The Relationship

The negative impacts of COVID-19 to every aspects of social-economic structure lead to the retail industry’s changes by shifting from traditional way to online shopping. Although Vietnam is potential market of e-commerce, there are still lots of barriers of online shopping to customer behaviour, especially how to improve the customer experience in purchasing process. Therefore, this paper analyses the mediating role of customer experience on the relationship between online shopping determinants such as: payment barrier, bad complaint resolve, slow delivery process, poor product quality, technical problem, and customer satisfaction in Vietnam. The online survey is conducted according to the related theories, relevant empirical evidence, and pilot study to collect reliable data from 360-400 respondents in Ho Chi Minh city and Ha Noi city. Some quantitative data analysis techniques are proposed and used in this study, including descriptive statistics, reliability, explanatory factor analysis, variance analysis, Pearson correlation analysis, confirmatory factor analysis, and structural equation modeling. For using them, the researcher expects that all factors have significant and negative effect on customer satisfaction through customer experience. By developing one of the first research attempt on pre-normal phase of COVID-19 pandemic, the researchers believes the marketers and top managers at e-commerce companies in Vietnam to have sufficient information about how their customers’ experience with online shopping platforms and related services.

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