2018 ◽  
Vol 55 (5) ◽  
pp. 636-654 ◽  
Author(s):  
Brett Hollenbeck

This article investigates the value of business format franchising and how it is changing in response to a large increase in consumer information provided by online reputation mechanisms. Theory has suggested that much of the value of chain affiliation to firms comes from the ability of chain partners to use the same name, imagery, logo, and marketing to create a common brand reputation and signal specific qualities in settings with asymmetric information between buyers and sellers. As more information becomes available, consumers should rely less on branding for quality signals, and firms’ ability to extend reputations across heterogeneous outlets should decrease. To examine this empirically, the author combines a large panel of hotel revenues with millions of online reviews from multiple platforms. Chain-affiliated hotels earn substantially higher revenues than equivalent independent hotels, but this premium has declined by over 50% from 2000 to 2015. This can be largely attributed to an increase in online reputation mechanisms, and this effect is largest for low-quality and small-market firms. Measures of the information content of online reviews show that as information has increased, independent hotel revenue has grown substantially more than chain hotel revenue. This result should be viewed as descriptive, with attempts to come to near causality including the use of machine learning to derive latent dimensions of firm quality from the text of online reviews. Finally, the correlation between firm revenue and chain-wide reputation is decreasing, whereas the correlation with individual hotel reputation is increasing.


2020 ◽  
Author(s):  
François Derrien ◽  
Alexandre Garel ◽  
Arthur Petit-Romec ◽  
Jean-Philippe Weisskopf

2020 ◽  
Author(s):  
Ronghua Xu ◽  
Tingting Zhang ◽  
Qingpeng Zhang

BACKGROUND Internet hospitals, or e-hospitals, as one kind of e-health platforms in China, provided novel channels through which physicians present their medical or health-care knowledge to patients and provide online counseling services. The sustainable development of Internet hospitals and e-health platforms relied on the participation of both the patients and the physicians, especially on the provision of health consultation services by the physicians. OBJECTIVE The objective of our study was to explore the factors motivating Chinese physicians to provide online health counseling services from the perspectives of their online reputation and offline reputation. METHODS We collected the data of 141,030 physicians from 6,173 offline hospitals and 350 cities on WeDoctor, an Internet hospital platform authorized by the China Health and Family Planning Committee. We selected the physicians’ online consultation volume, the total amount of counseling conversations from all channels of the platform, as the investigated dependent variable, reflecting the actual online counseling behaviors of the physicians in the platform. Based on the reputation theories and prior study, we incorporated patients’ feedback as the physicians’ online reputation (i.e. patients’ comments and their satisfaction scores), and incorporated the physicians’ offline professional status as the offline reputation (i.e. professional titles and the rankings of their offline working hospitals). We also delved the moderated effects of the city levels where the physicians lived offline and the number of patients who were watching the physicians online. Eight research hypotheses were proposed. Step-wise linear regression models were used to test our hypotheses. Durbin-Watson test and robustness tests were also conducted to ensure the fitness and reliability of our models. RESULTS As a result of the regression models, we found that, 1) physicians’ online reputation, including the number of comments written by the patients (beta=0.588, P<0.001), the satisfaction scores (beta=0.034, P<0.01), significantly and positively influence physicians’ online counseling behaviors; 2) Physicians’ offline reputation, including their professional titles (beta=-0.084, P<0.001) and the hospital rankings (beta=-0.163, P<0.001), significantly and negatively influence physicians’ online counseling behaviors; 3) the city levels where the physicians lived strengthen the negative effect between their offline hospital rankings and their online consulting services (beta=-0.177, P<0.001), indicating that physicians of higher offline reputation spend less time on online counseling, possibly due to the relative heavier offline workload; 4) the number of watching patients weakens the positive effect between patients’ comments and physicians’ online consulting services (beta=-0.216, P<0.001), indicating that the watching patients may switch the channels from online consultation to offline hospital visits after using the Internet hospitals. CONCLUSIONS This study contributed to the literature on physicians online counseling behaviors in Internet hospitals by verifying the contrasting effects of the online reputation and the offline reputation. It then contributed to the motivation theory by separating the online reputation from the offline reputation when the acting entities have constraints of limited time and effort. This study can also provide practical insights for the hospital managers to better arrange for the online counseling services and for the policy makers to consider the patients’ online feedback into the overall evaluation of the physicians’ reputation.


2019 ◽  
Vol 62 (6) ◽  
pp. 501-513 ◽  
Author(s):  
Timm Teubner ◽  
Marc T. P. Adam ◽  
Florian Hawlitschek
Keyword(s):  

2021 ◽  
Vol 7 (2) ◽  
pp. 111
Author(s):  
María Jesús Carrasco-Santos ◽  
Antonio Manuel Ciruela-Lorenzo ◽  
Juan Gabriel Méndez Pavón ◽  
Carmen Cristófol Rodríguez

This research analyzed the online reputation of Marbella as a tourist destination and the profiles of the reviewers according to sociodemographic characteristics. A correlational, quantitative research technique was used in this study based on the manual extraction of more than 4000 reviews generated on TripAdvisor. The data used in this study were collected from the TripAdvisor website, taking, as a sample, tourists who had visited the city in the last three years. Ratings that did not provide full data on the variables were excluded. The findings show that Marbella is considered a luxury shopping destination. The preliminary conclusions allow us to generalize about the sociodemographic profile of its tourists. The findings of the study will provide valuable information for Marbella’s Destination Management Organization (DMO). On the one hand, this study highlights the importance of ranking the attractions of the city to create better communication strategies and enhance the appeal of those attractions that receive the best ratings, establishing the true vocation of Marbella as a tourist destination. On the other hand, it provides information on what tourists perceive to be negative elements, allowing the administration to create an improvement plan. The novelty of this research paper is that it delves into Marbella’s online reputation through an analysis of specific attractions’ ratings. Areas that require further attention in future research have been highlighted, along with specific advice on each attraction that contributes to the tourist offerings of the city.


2021 ◽  
Author(s):  
Felix Hopf ◽  
Christiane Patzelt ◽  
Anja Schindler ◽  
Martin Emmert ◽  
Uwe Sander

Zusammenfassung Hintergrund Patienten nutzen zunehmend soziale Medien und Bewertungsportale, um sich über Krankenhäuser zu informieren, diese zu bewerten oder einen Erfahrungsbericht über den Krankenhausaufenthalt zu schreiben. Krankenhäuser haben die Möglichkeit, online abgegebene Patientenkritik für die interne Qualitätssicherung sowie das Online-Reputationsmarketing zu nutzen. Ziel der Studie: Ziel ist es, Zufriedenheitsbewertungen zu vorangegangen Krankenhausaufenthalten von Social Media Nutzern der Plattformen „Google“ sowie Nutzern des Bewertungsportals „Klinikbewertungen.de“ zu analysieren und plattformspezifisch zu vergleichen. Methodik Es wurde eine Extraktion von Nutzerbewertungen (N=16 691) zu allen Krankenhäusern (N=180) im Bundesland Niedersachsen (Vollerhebung) auf den Plattformen Google und Klinikbewertungen.de für die Jahre 2013–2018 vorgenommen. Anschließend wurden deskriptive und induktive Analysen (Chi²-Test) der Nutzerbewertungen durchgeführt und ein plattformspezifischer Vergleich vorgenommen. Ergebnisse Die meisten Nutzer sind mit ihrem Krankenhausaufenthalt zufrieden, wobei Nutzer der Plattform Google ihren Krankenhausaufenthalt schlechter bewerten (n=6 181; 57,6% zufrieden) als Nutzer der Plattform Klinikbewertungen (n=10 509; 65,4% zufrieden). Krankenhauseigenschaften (Bettenzahl, Fachabteilung), Eigenschaften des Nutzers (Verfasser, Versicherungsart) sind mit der Bewertung des Krankenhausaufenthaltes (Sternebewertung) signifikant assoziiert (Google: Bettenzahl p<0,001; Klinikbewertungen.de: Bettenzahl p<0,001, Verfasser p<0,001, Fachabteilung p<0,001, Versicherungsart p<0,001). Schlussfolgerung Die Onlinebewertung eines Krankenhausaufenthaltes ist assoziiert mit der Bettenzahl und der Fachabteilung eines Krankenhauses sowie damit, ob der Verfasser Patient oder Angehöriger ist und ob eine private oder gesetzliche Krankenversicherung besteht. Diese Erkenntnisse können für die Interpretation von Onlinebewertung eines Krankenhausaufenthaltes verwendet werden und können die Nutzung von Online-Bewertungen für Krankenhäuser für die interne Qualitätssicherung oder zur Verbesserung der Online-Reputation unterstützen.


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