Investigating Key Attributes in Experience and Satisfaction of Hotel Customer Using Online Review Data

Ban, Hyun-Jeong; Choi, Ha-Yeon; Choi, Eun-Kyong; Lee, Sanghyeop; Kim, Hak-Seon

doi:10.3390/su11236570

Cited by 64 publications

(68 citation statements)

References 39 publications

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“…There are multiple measures of network centrality, but degree centrality, the most representative of the measures, is also the most reliable and simplest [ 28 ]. Degree centrality is a measure of how many neighbors a node has; a word that has many connections to other words becomes more central, giving it a greater impact on other words and a more dominant role in the network [ 29 , 30 ]. Thus, degree centrality is an index of the degree to which a particular node is located toward the center of the overall network [ 31 , 32 , 33 ].…”

Section: Methodsmentioning

confidence: 99%

“…Thus, degree centrality is an index of the degree to which a particular node is located toward the center of the overall network [ 31 , 32 , 33 ]. Additionally, the CONCOR (CONvergence of iterated CORrelations) analysis is the process of discovering patterns in the relationships between words, and the greater the similarity of the relationship patterns, the greater the degree of structural equivalence of the other words [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

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Big Data Analysis of Sports and Physical Activities among Korean Adolescents

Sung-Un

ahn²,

Kim

et al. 2020

IJERPH

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The Korean government (Ministry of Culture, Sports and Tourism, Ministry of Health and Welfare, and Ministry of Education) has framed policies and conducted many projects to encourage adolescents to be more physically active. Despite these efforts, the participation rate of physical activity in Korean adolescents keeps decreasing. Thus, the purpose of this study was to analyze the perception of sports and physical activity in Korean adolescents through big data analysis of the last 10 years and to provide research data and statistical direction with regard to sports and physical activity participation in Korean adolescents. For data collection, data from 1 January 2010 to 31 December 2019 were collected from Naver (NAVER Corp., Seongnam, Korea), Daum (Kakao Corp., Jeju, Korea), and Google (Alphabet Inc., Mountain View, CA, USA), which are the most widely used search engines in Korea, using TEXTOM 4.0 (The Imc Inc., Daegu, Korea), a big data collection and analysis solution. Keywords such as “adolescent + sports + physical activity” were used. TEXTOM 4.0 can generate various collection lists at once using keywords. Collected data were processed through text mining (frequency analysis, term frequency–inverse document frequency analysis) and social network analysis (SNA) (degree centrality, convergence of iterated correlations analysis) by using TEXTOM 4.0 and UCINET 6 social network analysis software (Analytic Technologies Corp., Lexington, KY, USA). A total of 9278 big data (10.36 MB) were analyzed. Frequency analysis of the top 50 terms through text mining showed exercise (872), mind (851), health (824), program (782), and burden (744) in a descending order. Term frequency–inverse document frequency analysis revealed exercise (2108.070), health (1961.843), program (1928.765), mind (1861.837), and burden (1722.687) in a descending order. SNA showed that the terms with the greatest degree of centrality were exercise (0.02857), program (0.02406), mind (0.02079), health (0.02062), and activity (0.01872) in a descending order. Convergence of the iterated correlations analysis indicated five clusters: exercise and health, child to adult, sociocultural development, therapy, and program. However, female gender, sports for all, stress, and wholesome did not have a high enough correlation to form one cluster. Thus, this study provides basic data and statistical direction to increase the rate of physical activity participation in Korean adolescents by drawing significant implications based on terms and clusters through bid data analysis.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Big Data Analysis of Sports and Physical Activities among Korean Adolescents

Sung-Un

ahn²,

Kim

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…It is very interesting as in Cluster 2, where "sustainability" is incorporated in the "triple bottom line" perspective where the performance of companies is not only based on economic criteria, but the environmental and social impact must be taken into account [10]. In this cluster, the relationship between 34 different concepts is shown, among which the use of marketing stands out [16]; the quality of the service [67]; and a very interesting topic where the use of Information, Communication Technology, and Big Data is promoted [68,69]. Taking into account the need for information at the right time, the Big Data approach [58,68,70,71] and the utilization of some Artificial Intelligence techniques [72,73] are able to effectively and efficiently manage and analyze the vast amount of customer data [3].…”

Section: Keyword and Clusters Analysismentioning

confidence: 99%

Mapping Research on Customer Centricity and Sustainable Organizations

et al. 2020

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Firms are increasingly organized around the client. At the same time, there is customer pressure on green and sustainable organizations. The purpose of this paper is to map the current state of the research in the domain of customer-centric organizations from a sustainability perspective. We conducted a bibliometric analysis from published documents between 1990 and 31 July 2020. Key findings indicate that research on customer centricity and sustainability has increased in recent years, finding some trends and that the topic is structured into three clusters: (1) Sustainable Development, Customer-Centric Perspective, and Sales; (2) Sustainability and Commerce; and (3) Customer-Centricity and Sustainability Trends. The implementation of a bibliometric methodology and the focus given to the definition, the relationships, and the evolution of the three main clusters within the topic are the characteristics that differentiate our study from other publications or reviews in the field of research. In addition, all the documents that refer to practical cases were identified, and the main ones were analyzed, to provide highlights to practitioners who aim to deploy the customer centricity approach in their firms from a sustainable perspective and seeking that the corporate purpose is followed.

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“…In the 188 papers, 1465 keywords were identified, of which 89 were used in the analysis since they fulfilled It is very interesting as in Cluster 1, where "sustainability" is incorporated in the "triple bottom line" perspective where the performance of companies is not only based on economic criteria, but the environmental and social impact must be taken into account [10]. In this cluster the relationship between 40 different concepts is shown; among which the use of marketing stands out [15]; the Corporate Social Responsibility [25]; the quality of the service [59]; and, a very interesting topic where the use of Information and Communication Technology and Big Data is promoted [60,61].…”

Section: Keyword Analysismentioning

confidence: 99%

Mapping Research on Customer Centricity and Sustainable Organizations

Pardo-Jaramillo¹,

Muñoz-Villamizar²,

Soto³

et al. 2020

Preprint

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Firms are increasingly organized around the client. At the same time, there is customer pressure on green and sustainable organizations. The purpose of this paper is to map the current state of the research in the domain of customer-centric organizations from a sustainable perspective. We conducted a bibliometric analysis from published documents between 1990 and 2020. Key findings indicate that research on customer centricity and sustainability has increased in recent years and that the topic is structured into 3 clusters: (1) Sustainability; (2) Customer-Centric Perspective, and Sustainable Development; and (3) Customer Experience and Sales. Moreover, new concepts and technologies have been introduced during the last three years. The implementation of a bibliometric methodology and the focus given to the definition, the relationships, and the evolution of the three main clusters within the topic are the characteristics that differentiate our study from other publications or reviews in the field of research. This paper is beneficial for practitioners who aim to deploy the customer centricity approach in their firms from a sustainable perspective.

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Investigating Key Attributes in Experience and Satisfaction of Hotel Customer Using Online Review Data

Cited by 64 publications

References 39 publications

Big Data Analysis of Sports and Physical Activities among Korean Adolescents

Big Data Analysis of Sports and Physical Activities among Korean Adolescents

Mapping Research on Customer Centricity and Sustainable Organizations

Mapping Research on Customer Centricity and Sustainable Organizations

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