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Information
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Data Analytics and Consumer Behavior
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Data Analytics and Consumer Behavior

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: closed (10 April 2022) | Viewed by 120059

Special Issue Editors

Dr. Hak-Seon Kim

E-Mail Website
Guest Editor
School of Hospitality and Tourism Management, Kyungsung University, Busan 48434, Republic of Korea
Interests: hospitality; service management; online review; food service
Special Issues, Collections and Topics in MDPI journals
Dr. Hyun-Jeong Ban

E-Mail Website
Guest Editor
School of Global Studies, Kyungsung University, Busan 48434, Korea
Interests: hospitality & tourism mgmt.; big-data analytics; consumer behavior; service management; food tourism
Special Issues, Collections and Topics in MDPI journals
Dr. Jue Wang

E-Mail Website
Guest Editor
School of Global Studies, Kyungsung University, Busan 48434, Republic of Korea
Interests: organizational behavior; HRM; leadership; business ethics; research methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Understanding consumer behavior is essential for all industries. Recent changes in economic structure, technological advances, demographic structure, and environmental conditions are having a great impact on the industry as well as consumer behavior. Today, consumers are getting more information and sharing their experiences more than in the past. As the era of the fourth industrial revolution begins, industries and consumers are producing a multitude of data. Consumers are sensitive to brands, but there are increasingly more interactions between consumers and consumers, which reveals what they demand from businesses themselves. Industry managers and researchers should analyze structured and unstructured data in understanding and producing value for these consumers and draw meaningful implications. Interestingly, in spite of relevant studies in Industry 4.0 that explain consumer behavior being carried out, we currently lack sufficient understanding of the mechanisms that shape consumer behavior. In addition, research on key factors affecting consumer loyalty has become important as consumer-to-consumer or consumer-to-business interactions increase. An increasing number of scholars call for more systematic research in the area, including the structure and interactions of personality in different contexts as well as new methodological approaches. This Special Issue welcomes various consumer behavioral approaches, different perspectives, and methodological analyses, and any research that is quantitative or qualitative to improve the value and interaction that Industry 4.0 provides to consumers in the product and service markets.

Dr. Hak-Seon Kim
Dr. Hyun-Jeong(Helena) Ban
Dr. Wang Jue
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Co-creation & enhancement in consumer behavior and consumption;
  • Variety, novelty and sensation seeking in consumer behavior context;
  • Need for cognition/emotion in consumption;
  • Consumer opinion leadership;
  • New technological environments and the interaction with personality;
  • Consumer interactions with brands;
  • Advances in understanding personality traits in consumer behavior.

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Published Papers (20 papers)

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Research

16 pages, 905 KiB  
Article
A Study of Inbound Travelers Experience and Satisfaction at Quarantine Hotels in Indonesia during the COVID-19 Pandemic
by Narariya Dita Handani, Aura Lydia Riswanto and Hak-Seon Kim
Information 2022, 13(5), 254; https://doi.org/10.3390/info13050254 - 13 May 2022
Cited by 16 | Viewed by 3367
Abstract
The tourism and hospitality sectors contribute significantly to the Indonesian economy. Meanwhile, COVID-19 affects these sectors. During the pandemic, the Indonesian government applied quarantine regulations at designated hotels to support its tourism industry. Since COVID-19 is becoming endemic and travel bans are being [...] Read more.
The tourism and hospitality sectors contribute significantly to the Indonesian economy. Meanwhile, COVID-19 affects these sectors. During the pandemic, the Indonesian government applied quarantine regulations at designated hotels to support its tourism industry. Since COVID-19 is becoming endemic and travel bans are being relaxed, hotel satisfaction becomes a crucial factor in quarantine hotels. If guests have a positive experience while staying at these hotels, they are likely to return for a staycation or vacation in the near future. The study examined 4856 reviews from Google reviews on 15 quarantine hotels in Indonesia. Following word frequency calculations in a matrix, UCINET 6.0 is used to analyze the network centrality and perform CONCOR analysis. The CONCOR analysis categorizes the review data into five categories. As quantitative analysis was performed, exploratory factor analysis was grouped into six variables: tangible, assurance, frontline, accommodation, quarantine, and location. As a result, tangible, assurance, and frontline negatively impacted guest satisfaction. Furthermore, three other variables: accommodation, quarantine, location, which have a positive influence, will lead to increased trust from inbound travelers. For managerial implication, results allow managers of quarantine hotels in Indonesia to focus more on improving tangible, assurance, and frontline factors. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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12 pages, 1491 KiB  
Article
Online Customer Reviews and Satisfaction with an Upscale Hotel: A Case Study of Atlantis, The Palm in Dubai
by Shengnan Wei and Hak-Seon Kim
Information 2022, 13(3), 150; https://doi.org/10.3390/info13030150 - 12 Mar 2022
Cited by 15 | Viewed by 4675
Abstract
The main purpose of this study is to explore the insights of customers’ reviews from the upscale hotel Atlantis, The Palm in the Dubai area. The data was collected from the SCTM 3.0 (smart crawling and text mining) platform developed by the Wellness [...] Read more.
The main purpose of this study is to explore the insights of customers’ reviews from the upscale hotel Atlantis, The Palm in the Dubai area. The data was collected from the SCTM 3.0 (smart crawling and text mining) platform developed by the Wellness & Tourism Big Data Institute at Kyungsung University. A total of 2051 online reviews were collected from the period from 29 October 2018 to 29 October 2021. The following steps were conducted by RStudio and UCINET 6.0 to analyze the collected data and to visualize the results. The results showed the top 50 keywords customers used in the reviews, such as ‘great’, ‘amazing’, or ‘service’. Exploratory factor analysis (EFA) and linear regression analysis were applied for an in-depth understanding of customer satisfaction. The analysis results demonstrated that the ‘value’ and ‘dining’ factors had a negative influence on overall customer satisfaction. These findings could provide managerial and marketing insights for upscale hotel managers when formulating and implementing strategies and tactics to improve customer satisfaction. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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21 pages, 3555 KiB  
Article
An Exploratory Study of Electronic Word-of-Mouth Focused on Casino Hotels in Las Vegas and Macao
by Mengying Tang and Hak-Seon Kim
Information 2022, 13(3), 135; https://doi.org/10.3390/info13030135 - 5 Mar 2022
Cited by 9 | Viewed by 3650
Abstract
In order to investigate the key attributes of casino hotel customer eWOM and their structural relationships, this study selects two casino hotels located in Las Vegas and Macao. Through big data analytics, online reviews of two casino hotels from Google Travel were utilized. [...] Read more.
In order to investigate the key attributes of casino hotel customer eWOM and their structural relationships, this study selects two casino hotels located in Las Vegas and Macao. Through big data analytics, online reviews of two casino hotels from Google Travel were utilized. The frequency and CONCOR analyses showed the top 50 high-frequency words for each hotel and divided them into groups. The results of the factor analysis and linear regression analysis show that four factors, namely “Physical Environment”, “Entertainment”, “Experience”, and “Amenity”, in Las Vegas have a significant impact on customer satisfaction, while two factors, namely “Value” and “Physical Environment”, do in Macao. Through the results, the study points out the general characteristics affecting customer satisfaction of casino hotels, as well as the distinctions in influencing factors of their customer satisfaction in different source markets. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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19 pages, 3900 KiB  
Article
Text Mining with Network Analysis of Online Reviews and Consumers’ Satisfaction: A Case Study in Busan Wine Bars
by Wei Fu, Eun-Kyong Choi and Hak-Seon Kim
Information 2022, 13(3), 127; https://doi.org/10.3390/info13030127 - 2 Mar 2022
Cited by 7 | Viewed by 4778
Abstract
With the growth of internet technology, customers are sharing up their experiences. Hence, these types of customer experiences are spreading rapidly as a source of online reviews. For this reason, online reviews have become a critical source of information that influences customers’ purchase [...] Read more.
With the growth of internet technology, customers are sharing up their experiences. Hence, these types of customer experiences are spreading rapidly as a source of online reviews. For this reason, online reviews have become a critical source of information that influences customers’ purchase intentions and behavior. Thus, businesses should monitor online reviews to understand the customer experience and increase customer satisfaction and loyalty. This study attempts to identify essential characteristics for positive online reviews of wine bars and examine the structural relationships of these attributes. To accomplish this purpose, a total of 1,337 online reviews were collected from Google Travel and analyzed. The frequency analysis was performed using text mining to determine the most frequently referred to attributes, and the semantic network analysis, factor analysis, and regression analysis were conducted to understand customer experience and satisfaction of wine bars located in Busan, South Korea. The results show that the top 50 keywords identified from the online reviews were categorized as four groups—‘Atmosphere’, ‘Service’, ‘Date and Location’, and ‘Menu’. The results of the factor analysis reduced the original dimension of 48 keywords to 16 keywords and classified them into six factors, namely, ‘Service’, ‘Staff’, ‘Menu’, ‘Environment’, ‘Recommendation’ and ‘Atmosphere’. Based on these results, implications for sustainable wine bar marketing strategies were suggested. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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29 pages, 3913 KiB  
Article
Navigations for Hospitality Human Resource Management Research: Observing the Keywords, Factors, Topics under the COVID-19 Pandemic
by Jue Wang, Hyun-Jeong Ban, Hyun-Woo Joung and Hak-Seon Kim
Information 2022, 13(3), 126; https://doi.org/10.3390/info13030126 - 2 Mar 2022
Cited by 7 | Viewed by 7996
Abstract
The hospitality industry is one of the most affected by the pandemic, and because of its human close interaction and labor-intensive characteristics, it has left Human Resource Management (HRM) puzzles with organizations’ stabilization and recovery. This study aimed to summarize current research on [...] Read more.
The hospitality industry is one of the most affected by the pandemic, and because of its human close interaction and labor-intensive characteristics, it has left Human Resource Management (HRM) puzzles with organizations’ stabilization and recovery. This study aimed to summarize current research on hospitality HRM research outcomes and trends during the COVID-19 pandemic. Utilizing the PRISMA technique and NVivo software, 102 research articles were extracted and analyzed to highlight to overall achievement and movement of hospitality HRM research under the shadow of the COVID-19 crisis. Considering the main purpose of this study, which was to show the status and prospects, the findings indicated 309 free nodes and 26 secondary nodes based on grounded theory. 7 key themes clustered from the analysis and include “environmental factors”, “industrial factors”, “HRM practice”, “organization”, “employee”, “external outcomes”, and “methodology”. The results demonstrated the COVID-19 pandemic driven HRM transformation. In addition, it sheds light on how research responds to the shifting navigation of HRM within the hospitality context under the COVID-19 conditions. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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16 pages, 681 KiB  
Article
A Study on the Effect of Customer Habits on Revisit Intention Focusing on Franchise Coffee Shops
by Hong-Joo Lee
Information 2022, 13(2), 86; https://doi.org/10.3390/info13020086 - 13 Feb 2022
Cited by 3 | Viewed by 12148
Abstract
As the economy grows in South Korea and the needs of consumers become increasingly diversified, various consumer markets are emerging. In this study, the reasons for customers’ intentions to revisit a franchise coffee shop were explored. Many researchers have found that customer satisfaction [...] Read more.
As the economy grows in South Korea and the needs of consumers become increasingly diversified, various consumer markets are emerging. In this study, the reasons for customers’ intentions to revisit a franchise coffee shop were explored. Many researchers have found that customer satisfaction is a major factor in the intention to revisit, and the factors affecting this satisfaction have been presented as major research topics. However, in this study, in order to examine the consumers’ behavior toward revisit intentions, the results were analyzed by dividing the consumer data into a group of college students in their 20s and a group of office workers in their 30s and 40s. The results of this study found that in regard to customers’ habitual intentions to revisit, perceived product quality and brand awareness were more influential than service quality or the physical environment. In particular, before returning to a coffee shop, customers habitually recalled the coffee shop they wanted to revisit, suggesting that the taste of the coffee and the quality of the various products had a very important impact on their revisiting habits. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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15 pages, 379 KiB  
Article
Machine-Learning-Based User Position Prediction and Behavior Analysis for Location Services
by Haiyang Jiang, Mingshu He, Yuanyuan Xi and Jianqiu Zeng
Information 2021, 12(5), 180; https://doi.org/10.3390/info12050180 - 22 Apr 2021
Cited by 8 | Viewed by 3124
Abstract
Machine learning (ML)-based methods are increasingly used in different fields of business to improve the quality and efficiency of services. The increasing amount of data and the development of artificial intelligence algorithms have improved the services provided to customers in shopping malls. Most [...] Read more.
Machine learning (ML)-based methods are increasingly used in different fields of business to improve the quality and efficiency of services. The increasing amount of data and the development of artificial intelligence algorithms have improved the services provided to customers in shopping malls. Most new services are based on customers’ precise positioning in shopping malls, especially customer positioning within shops. We propose a novel method to accurately predict the specific shops in which customers are located in shopping malls. We use global positioning system (GPS) information provided by customers’ mobile terminals and WiFi information that completely covers the shopping mall. According to the prediction results, we learn some of the behavior preferences of users. We use these predicted customer locations to provide customers with more accurate services. Our training dataset is built using feature extraction and screening from some real customers’ transaction records in shopping malls. In order to prove the validity of the model, we also cross-check our algorithm with a variety of machine learning algorithms. Our method achieves the best speed–accuracy trade-off and can accurately locate the shops in which customers are located in shopping malls in real time. Compared to other algorithms, the proposed model is more accurate. User preference behaviors can be used in applications to efficiently provide more tailored services. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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19 pages, 335 KiB  
Article
Evaluating Consumers’ Willingness to Pay for Delay Compensation Services in Intra-City Delivery—A Value Optimization Study Using Choice
by Ruixu Pan, Yujie Huang and Xiongwu Xiao
Information 2021, 12(3), 127; https://doi.org/10.3390/info12030127 - 16 Mar 2021
Cited by 3 | Viewed by 3321
Abstract
Intra-city delivery has developed rapidly along with the expansion of the logistics industry. Timely delivery is one of the main requirements of consumers and has become a major challenge to delivery service providers. To compensate for the adverse effects of delivery delays, platforms [...] Read more.
Intra-city delivery has developed rapidly along with the expansion of the logistics industry. Timely delivery is one of the main requirements of consumers and has become a major challenge to delivery service providers. To compensate for the adverse effects of delivery delays, platforms have launched delay compensation services for consumers who order. This study quantitatively evaluated consumer perception of the delay compensation service in intra-city deliveries using a choice experiment. We explored how different attributes of the delay compensation service plan affect consumer preference and their willingness to pay for the services. These service attributes are “delay probability display”, “compensation amount”, “compensation method”, “penalty method for riders”, and “one-time order price”. Using a multinomial logit model to analyze the questionnaire results, the respondents showed a positive preference for on-time delivery probability display, progressive compensation amount, and cash compensation. The results also show that the respondents opposed the penalty scheme where the riders would bear the compensation costs. Positive preference attributes are conducive to enhancing consumers’ willingness to order and pay for the program. Based on our findings and research conclusions, we proposed several recommendations to improve the delay compensation service program. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
14 pages, 1721 KiB  
Article
Topic Modeling and Sentiment Analysis of Online Review for Airlines
by Hye-Jin Kwon, Hyun-Jeong Ban, Jae-Kyoon Jun and Hak-Seon Kim
Information 2021, 12(2), 78; https://doi.org/10.3390/info12020078 - 12 Feb 2021
Cited by 68 | Viewed by 12326
Abstract
The purpose of this study is to conduct topic modeling and sentiment analysis on the posts of Skytrax (airlinequality.com), where there are many interests and participation of the people who have used or are willing to use it for airlines. The purpose of [...] Read more.
The purpose of this study is to conduct topic modeling and sentiment analysis on the posts of Skytrax (airlinequality.com), where there are many interests and participation of the people who have used or are willing to use it for airlines. The purpose of people gathering at Skytrax is to make better choices using the actual experiences of other customers who have experienced airlines. Online reviews written by customers with experience using airlines in Asia were collected. The data collected were online reviews from 27 airlines, with more than 14,000 reviews. Topic modeling and sentiment analysis were used with the collected data to figure out what kinds of important words are in the online reviews. As a result of the topic modeling, ‘seat’, ‘service’, and ‘meal’ were significant issues in the flight through frequency analysis. Additionally, the result revealed that delay was the main issue, which can affect customer dissatisfaction while ‘staff service’ can make customers satisfied through sentiment analysis as the result shows the ‘staff service’ with meal and food in the topic modeling. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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16 pages, 2267 KiB  
Article
Online Consumers’ Brain Activities When Purchasing Second-Hand versus New Products That Are Brand-Name or Brand-Less
by Pei-Hsuan Hsieh and Fang-Ning Chang
Information 2021, 12(2), 56; https://doi.org/10.3390/info12020056 - 26 Jan 2021
Cited by 1 | Viewed by 3056
Abstract
It is now common to apply functional magnetic resonance imaging to explore which areas of the human brain are activated during the decision-making process. In the study of consumer behaviors, product brand has been identified as a major factor affecting consumer purchase decisions. [...] Read more.
It is now common to apply functional magnetic resonance imaging to explore which areas of the human brain are activated during the decision-making process. In the study of consumer behaviors, product brand has been identified as a major factor affecting consumer purchase decisions. Prior studies indicate that the brand had a significant impact on brain activation. However, it is unsure if consumers’ brain activation is also significant when purchasing brand-name second-hand products (SHPs). Therefore, the purpose of this study is to verify the areas of brain neuron activation in the context of online auctions among consumers whose purchasing decisions are affected by an SHP’s brand. The results show that a brain region (i.e., the medial prefrontal cortex) activates significantly when comparing the purchasing decision-making process between new items and SHPs. The activation of the insula is also found when an SHP purchasing decision is made. In addition, the dorsolateral prefrontal cortex is activated significantly when purchasing brand-name SHPs. However, due to consumers’ preferences for different brands, there is no significant activation in the ventromedial prefrontal cortex. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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19 pages, 481 KiB  
Article
Employer Branding Applied to SMEs: A Pioneering Model Proposal for Attracting and Retaining Talent
by Beatriz Monteiro, Vasco Santos, Isabel Reis, Marta Correia Sampaio, Bruno Sousa, Filipa Martinho, Maria José Sousa and Manuel Au-Yong-Oliveira
Information 2020, 11(12), 574; https://doi.org/10.3390/info11120574 - 9 Dec 2020
Cited by 28 | Viewed by 17217
Abstract
Most business enterprises are small and medium-sized enterprises (SMEs), and many of them are without a human resource and recruitment department. Thus, one of the challenges that organizations currently face is to find a strategy to retain and attract talent. To overcome this [...] Read more.
Most business enterprises are small and medium-sized enterprises (SMEs), and many of them are without a human resource and recruitment department. Thus, one of the challenges that organizations currently face is to find a strategy to retain and attract talent. To overcome this difficulty, enterprises must invest in employer branding policies and be aware of the factors that differentiate them from others when attracting employees. This study aims to develop an employer branding model applicable to SMEs, to increase and enhance the attraction and retention of talents. An exploratory approach based on a quantitative perspective was adopted to develop an employer branding model applied to SMEs, with two major reference employer branding models and frameworks used as the main support. The model of employer branding was applied to SMEs regarding four dimensions, whereby essential questions are asked, namely (1) organizational culture (e.g., do employees have a job description aligned with the corporate culture?), (2) company strategy (e.g., what is the strategy if business volume decreases?), (3) company reputation (e.g., how do you perceive and treat negative feedback?), and (4) reward systems (e.g., do you feel that your employees are motivated intrinsically or extrinsically or both?), ordered by layers based on a logical sequence. The new proposed model is expected to serve as a useful strategic tool and as a basis for attracting, retaining and managing talent, specifically in the SMEs context. This new model provides a set of strategic and competitiveness benefits for SMEs, while contributing to making enterprises more profitable. The model also contributes to SMEs having a better image and reputation, enabling them to stand out from others in the war for talent. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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10 pages, 253 KiB  
Article
The Effects of Social Media on Sporting Event Satisfaction and Word of Mouth Communication: An Empirical Study of a Mega Sports Event
by Juan Du, Mei-Yen Chen and Yu-Feng Wu
Information 2020, 11(10), 482; https://doi.org/10.3390/info11100482 - 14 Oct 2020
Cited by 4 | Viewed by 5138
Abstract
This study examines the impact of word of mouth (WOM) communication through social media and how it affects satisfaction with the Summer Universiade in Taipei. This study hopes to understand the usage characteristics of social media among university students and the implementation of [...] Read more.
This study examines the impact of word of mouth (WOM) communication through social media and how it affects satisfaction with the Summer Universiade in Taipei. This study hopes to understand the usage characteristics of social media among university students and the implementation of social media and their effectiveness as a marketing strategy for sport organization. The hypotheses were verified using a survey of 572 university students from four universities that hosted competitions for the Summer Universiade Games. Data were analyzed using t test, Pearson’s correlation analysis and two-way ANOVA analysis. The results indicated that WOM has impacted satisfaction via social media, and the level of understanding of sporting events was significantly affected by WOM communication and overall satisfaction. Moreover, gender showed no significant differences in WOM communication and overall satisfaction with sporting events. However, male participants had significantly higher value in WOM dissemination than female respondents. In addition, the spectators’ understanding of the sporting event on WOM communication and overall satisfaction was not affected by the continued use of social media. Suggestions are provided, including sufficient sports marketing and service quality from the organizers, in order to maintain good sports events and enhance spectators’ feelings. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
15 pages, 1103 KiB  
Article
Does Gender Moderate the Relationship among Festival Attendees’ Motivation, Perceived Value, Visitor Satisfaction, and Electronic Word-of-Mouth?
by Jeongyeon (Jennie) Ahn, Eun-Kyong (Cindy) Choi and Hyun-Woo Joung
Information 2020, 11(9), 412; https://doi.org/10.3390/info11090412 - 27 Aug 2020
Cited by 10 | Viewed by 5169
Abstract
Festivals are experiential products heavily depending on the recommendations of previous visitors. With the power of social media growing, understanding the antecedents of positive electronic word-of-mouth (eWOM) intentions of festival attendees is immensely beneficial for festival organizers to better promote their festivals and [...] Read more.
Festivals are experiential products heavily depending on the recommendations of previous visitors. With the power of social media growing, understanding the antecedents of positive electronic word-of-mouth (eWOM) intentions of festival attendees is immensely beneficial for festival organizers to better promote their festivals and control negative publicity. However, there is still limited research regarding eWOM intentions in the festival context. Thus, this study aims to fill such a gap by investigating the relationships among festival attendees’ enjoyment seeking motivation, perceived value, visitor satisfaction, and eWOM intention in a local festival setting. Additionally, the moderating role of gender was tested as it is one of the most important demographic variables to show individual differences in behavioral intentions. The results of structural equation modeling showed a positive effect of enjoyment seeking motivation on perceived value, visitor satisfaction, and eWOM intention. Moreover, gender differences in eWOM intention and a full mediating effect of visitor satisfaction between perceived value and eWOM intention for female respondents were revealed. The findings of this study extend the existing festival literature and provide insights for strategically organizing and promoting festivals to generate more positive eWOM which can be utilized as an effective marketing tool and a feedback channel. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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22 pages, 911 KiB  
Article
A Study of Consumer Repurchase Behaviors of Smartphones Using Artificial Neural Network
by Hong Joo Lee
Information 2020, 11(9), 400; https://doi.org/10.3390/info11090400 - 19 Aug 2020
Cited by 6 | Viewed by 7821
Abstract
This study analyzed consumer intention to repurchase a smartphone, using an analysis of previous research and suggesting this as a research model. To this end, factors influencing “intention to repurchase” the smartphone were derived as social influence, consumer satisfaction, emotional loyalty, and habit. [...] Read more.
This study analyzed consumer intention to repurchase a smartphone, using an analysis of previous research and suggesting this as a research model. To this end, factors influencing “intention to repurchase” the smartphone were derived as social influence, consumer satisfaction, emotional loyalty, and habit. In addition, statistical analysis was conducted to investigate consumer repurchase intentions and the causal relationships. It is also possible to investigate whether consumer habits are linked to repurchases by analyzing their psychological inclinations; therefore, in this study, 390 people who repurchased a smartphone over the past two years were surveyed, and data were collected. This study analyzed the causal relationships among the factors using SPSS 24.0. Moreover, the causal relationship analysis was enhanced using the artificial neural network (ANN) algorithm. With multiple regression analysis and the ANN algorithm, consumer satisfaction (0.71), emotional loyalty (0.108), and social influence (0.062) were determined to affect the intention to repurchase. This means that the ANN algorithm can be used over multiple regression analysis and improve the results of the analysis. In addition, this study also provided practitioners with a way to improve their understanding of consumer behavior intention to repurchase smartphones. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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10 pages, 397 KiB  
Article
How do the Employees’s Perceptions of Abusive Supervision Affect Customer Satisfaction in the Chain Restaurants? Employee-Customer Level Analysis
by Hyo Sun Jung and Hye Hyun Yoon
Information 2020, 11(8), 384; https://doi.org/10.3390/info11080384 - 3 Aug 2020
Cited by 1 | Viewed by 3365
Abstract
The purpose of this study is to examine the effect of chain restaurant employees’ perception of abusive supervision on employee satisfaction and customer satisfaction. The sample for the survey was collected from 228 customers and 93 employees in a chain restaurant. The results [...] Read more.
The purpose of this study is to examine the effect of chain restaurant employees’ perception of abusive supervision on employee satisfaction and customer satisfaction. The sample for the survey was collected from 228 customers and 93 employees in a chain restaurant. The results showed a negative relationship between abusive supervision and employee satisfaction. However, abusive supervision did not have a significant, direct effect on customer satisfaction, but showed an indirect effect via employee satisfaction. In addition, employee satisfaction was positively associated with customer satisfaction. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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20 pages, 1730 KiB  
Article
Analysis of the Awareness and Popularity of the Brand of a Selected Education and Research Library in the Czech Republic: A Case Study
by Dita Hommerová, Karel Šrédl and Kristýna Dbalá
Information 2020, 11(8), 373; https://doi.org/10.3390/info11080373 - 23 Jul 2020
Cited by 6 | Viewed by 4193
Abstract
This article aims to show the significance of branding in achieving set marketing goals and ensuring the sustainable development of a selected education and research library as a non-profit organization. The research is based on available data from foreign research studies concerning the [...] Read more.
This article aims to show the significance of branding in achieving set marketing goals and ensuring the sustainable development of a selected education and research library as a non-profit organization. The research is based on available data from foreign research studies concerning the image of a brand and the branding of non-profit organizations, and it expands on them by utilizing other methods of brand image measurement. A survey involving a sample of 220 respondents was conducted at the particular site, taking into account the library’s target segments. An analysis of the awareness and favorability of its brand was also utilized to evaluate the library’s image. The library has recently undergone a rebranding process and is applying a new visual style. The new visual style of the library resulting from the rebranding was met with a positive response in 69% of cases. Branding and appropriate marketing communication that reflects the latest trends can have a positive influence on the sustainability of libraries. The research results have contributed to the adoption of corrective measures in planning the strategy of the selected library, and the case study results can be applied across the board to other contributory organizations in the Czech Republic. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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21 pages, 2236 KiB  
Article
Modeling Web Client and System Behavior
by Tomasz Rak
Information 2020, 11(6), 337; https://doi.org/10.3390/info11060337 - 24 Jun 2020
Cited by 5 | Viewed by 3315
Abstract
Web systems are becoming more and more popular. An efficiently working network system is the basis for the functioning of every enterprise. Performance models are powerful tools for performance prediction. The creation of performance models requires significant effort. In the article, we want [...] Read more.
Web systems are becoming more and more popular. An efficiently working network system is the basis for the functioning of every enterprise. Performance models are powerful tools for performance prediction. The creation of performance models requires significant effort. In the article, we want to present various performance models of customer and Web systems. In particular, we want to examine a system behaviour related to different flow routes of clients in the system. Therefore we propose Queueing Petri Nets, the new modeling methodology for dealing with performance issues of production systems. We follow the simulation-based approach. We consider 25 different models to check performance. Then we evaluate them based on the proposed metrics. The validation results show that the model is able to predict the performance with a relative error lower than 20%. Our evaluation shows that prepared models can reduce the effort of production system preparation. The resulting performance model can predict the system behaviour in a particular layer at the indicated load. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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15 pages, 249 KiB  
Article
Analysis on the Relationship between Eating Behavior, Physical Activities and Youth Obesity: Based on the Korea Youth Risk Behavior Survey for High School Students in 2016~2018
by Seung-Hoo Lee and Jong-Ho Lee
Information 2020, 11(3), 169; https://doi.org/10.3390/info11030169 - 23 Mar 2020
Cited by 2 | Viewed by 2839
Abstract
In this study, a total of 94,511 surveys were used for the analysis, using raw data from the recent 3 years (2016–2018) of the Korea Youth Risk Behavior Survey (KYRBS) to compare differences in obesity rates based on eating behavior and physical activity [...] Read more.
In this study, a total of 94,511 surveys were used for the analysis, using raw data from the recent 3 years (2016–2018) of the Korea Youth Risk Behavior Survey (KYRBS) to compare differences in obesity rates based on eating behavior and physical activity among high school students. The cross-analysis and logistic regression were performed in the composite sample design using the SPSS 25.0 statistical package. The results are as follows. First, the more physical activity male students have, the lower the obesity rate. Female students, however, showed a minor difference. Second, the group that drinks the soda was 1158 times more likely to be obese than the group that does not drink the soda, and third, the group that eats the fast food was 1129 times more likely to be obese than the group that does not. Fourth, students belonging to male or female schools had a 1230 times higher obesity rate than coeducational students. Fifth, the obesity rate was 1150 times higher for second grade and 1263 times higher for third grade compared to the first grade. Finally, there was no significant difference related to the nutrition education. It is suggested that, to fight youth obesity in high school students, institutions need to raise public awareness of this problem through information campaigns aimed at improving and fostering potentially existing educational measures. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
19 pages, 2994 KiB  
Article
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model
by Mengjie Liao, Lin Qi and Jian Zhang
Information 2020, 11(3), 140; https://doi.org/10.3390/info11030140 - 1 Mar 2020
Cited by 1 | Viewed by 3492
Abstract
The negative impact of brand negative online word-of-mouth (OWOM) on social images in social media is far greater than the promotion of positive OWOM. Thus, how to optimize brand image by improving the positive OWOM effect and slowing the negative OWOM communication has [...] Read more.
The negative impact of brand negative online word-of-mouth (OWOM) on social images in social media is far greater than the promotion of positive OWOM. Thus, how to optimize brand image by improving the positive OWOM effect and slowing the negative OWOM communication has turned into an urgent problem for brand enterprises. On this basis, we analyze the evolution process of the OWOM communication group of the social media brand network based on the SOR (stimulus-organism-response) theory of psychology. Through constructing the heterogeneous brand OWOM communication dynamic model and conducting the multi-agent-based simulation experiment, the dynamic visualization of brand OWOM communication effect combined the thinking model of viral marketing is realized. Experiments show that the ability of brand communicators to persuade has a direct impact on the persistence and breadth of brand communication. When the acceptance of the consumer market is high, the negative OWOM of the brand has a relatively huge impact on consumers. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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15 pages, 1684 KiB  
Article
The Impacts of Online Clothes Short Video Display on Consumers’ Perceived Quality
by Rong Ma, Bingjia Shao, Jiaqi Chen and Dan Dai
Information 2020, 11(2), 87; https://doi.org/10.3390/info11020087 - 5 Feb 2020
Cited by 10 | Viewed by 5674
Abstract
In the context of the rapid development of online shopping, enterprises and consumers realized the importance of an effective online short video display. However, academics rarely explored the content of a short video display and its impacts on consumers’ perceptions. This paper discusses [...] Read more.
In the context of the rapid development of online shopping, enterprises and consumers realized the importance of an effective online short video display. However, academics rarely explored the content of a short video display and its impacts on consumers’ perceptions. This paper discusses the impacts of this display form on consumers’ perceived quality via questionnaires and scenario experiments based on the existing literature and theories. A short video of clothes was the main research object. We used an experimental design that included 2 (time: long, short) × 2 (display perspectives: overall, specific) × 2 (scenarios: outdoors, indoors) groups of experiments, for a total of eight groups of scenario experiments, to verify our hypotheses. The results reveal that the short video display makes consumers have a higher perceived quality compared with the long video display. Compared with a video that only includes an overall view of the product, a video that provides both an overall view and the details of the product makes consumers have a higher perceived quality. Consumers were found to have a higher perceived quality of products shot outdoors compared with products shot indoors. Full article
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
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