scholarly journals Konaklama İşletmelerinde Tüketici Deneyiminin Çevrimiçi Yorumlara Yansıması: COVID-19Pandemi Süreci ve Deneyimin Olumsuz Sonuçlanması (Reflection of Consumer Experience in Hospitality Businesses on Online Comments: COVID-19 Pandemic Process and Negative Result of Experience)

2021 ◽  
Vol 4 (5) ◽  
pp. 2254-2273
Author(s):  
Eda Avcı ◽  
Övünç Bardakoğlu
Keyword(s):  
Consumer Experience ◽  
Online Comments

The Long versus Short of It: The Last Consumer Experience

2020 ◽  
Vol 4 (2-4) ◽  
pp. 133-171
Author(s):  
Tamara Masters
Keyword(s):  
Consumer Experience

Sentiment Classification for Online Comments Based on Random Network Theory

2010 ◽  
Vol 36 (6) ◽  
pp. 837-844 ◽  
Author(s):  
Feng YANG ◽  
Qin-Ke PENG ◽  
Tao XU
Keyword(s):  
Network Theory ◽  
Random Network ◽  
Sentiment Classification ◽  
Online Comments

scholarly journals Recognition of Customers’ Impulsivity from Behavioral Patterns in Virtual Reality

2021 ◽  
Vol 11 (10) ◽  
pp. 4399
Author(s):  
Masoud Moghaddasi ◽  
Javier Marín-Morales ◽  
Jaikishan Khatri ◽  
Jaime Guixeres ◽  
Irene Alice Chicchi Giglioli ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Sensation Seeking ◽  
Support Vector Machine Classifier ◽  
Support Vector ◽  
Behavioral Patterns ◽  
Consumer Experience ◽  
Shopping Experience ◽  
Temporal And Spatial ◽  
Informative Signals ◽  
Exploration Task

Virtual reality (VR) in retailing (V-commerce) has been proven to enhance the consumer experience. Thus, this technology is beneficial to study behavioral patterns by offering the opportunity to infer customers’ personality traits based on their behavior. This study aims to recognize impulsivity using behavioral patterns. For this goal, 60 subjects performed three tasks—one exploration task and two planned tasks—in a virtual market. Four noninvasive signals (eye-tracking, navigation, posture, and interactions), which are available in commercial VR devices, were recorded, and a set of features were extracted and categorized into zonal, general, kinematic, temporal, and spatial types. They were input into a support vector machine classifier to recognize the impulsivity of the subjects based on the I-8 questionnaire, achieving an accuracy of 87%. The results suggest that, while the exploration task can reveal general impulsivity, other subscales such as perseverance and sensation-seeking are more related to planned tasks. The results also show that posture and interaction are the most informative signals. Our findings validate the recognition of customer impulsivity using sensors incorporated into commercial VR devices. Such information can provide a personalized shopping experience in future virtual shops.

scholarly journals Ostracism and nationalism in the workplace: discursive exclusionary practices between cultural and geographic neighbors

2021 ◽  
Author(s):  
Thomas Köllen ◽  
Susanne Kopf
Keyword(s):  
Turnover Intention ◽  
National Identities ◽  
Exclusionary Practices ◽  
Online Comments ◽  
Norm Group ◽  
Employee Groups ◽  
The Given ◽  
Organizational Mechanisms ◽  
Shed Light

AbstractSo far, management research on mechanisms of exclusion of employee groups has mainly applied constructs of racism to understanding issues of origin-based ostracism. This research has primarily focused on issues faced by employees whose heritage is markedly different from the heritage shared by the norm group in the given socio-cultural, linguistic, and geographical setting. Against this backdrop, the present study investigates how ostracism plays out when the heritages involved are similar, as exemplified by German employees in Austria. Study 1 examines the discursive production of Austrian stereotyping of Germans in the usage of different terms of reference for ‘Germans’ in Austrian discourse. A corpus analysis of online comments on newspaper sites highlights the implicit Austrian need for delineation against Germany. Study 2 analyzes Germans’ perception of Austrians’ exclusionary linguistic practices and how this impacts on their employment experience and turnover intention. A quantitative analysis of survey data from 600 German nationals employed in Austria reveals that the degree of exposure to these demarcating practices is associated with lower job satisfaction, a higher burnout level and an increase in turnover intention. This study is amongst the first to shed light on the central role of nationalism and national identities in organizational mechanisms of exclusion.

Exploring online comments from a strategic marketing stance to reduce wildlife crime

2020 ◽  
Vol 37 (12) ◽  
pp. 1771-1780
Author(s):  
Sheen Kachen ◽  
Anjala S. Krishen
Keyword(s):  
Strategic Marketing ◽  
Wildlife Crime ◽  
Online Comments

scholarly journals Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
User Needs ◽  
User Requirements ◽  
Functional Requirements ◽  
User Comments ◽  
Online Comments ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
New Type

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

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