Online Reputation and Debt Capacity

2020 ◽  
Author(s):  
François Derrien ◽  
Alexandre Garel ◽  
Arthur Petit-Romec ◽  
Jean-Philippe Weisskopf
Keyword(s):  
Debt Capacity ◽  
Online Reputation

A Single Period Stochastic Model for Maximising Firms Value

GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 39-45
Author(s):  
J. P. Singh
Keyword(s):  
Capital Market ◽  
Firm Value ◽  
Capital Asset Pricing ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Value Maximization ◽  
Risk Return ◽  
Bankruptcy Costs ◽  
Single Period ◽  
Debt Capacity

This article sets up a single period value maximization model for the firm based on stochastic end-of-period cash inflows, stochastic bankruptcy costs and taxes based on income rather than wealth. The risk-return trade-off is captured in the Capital Asset Pricing Model. Thus, the model also assumes a perfect capital market and market equilibrium. The model establishes the existence of a unique optimal financial leverage at which the firm value is maximized, this leverage being less than the maximum debt capacity of the firm.

What motivates Chinese physicians to provide online counseling services in Internet hospitals: online reputation or offline reputation? (Preprint)

2020 ◽  
Author(s):  
Ronghua Xu ◽  
Tingting Zhang ◽  
Qingpeng Zhang
Keyword(s):  
Regression Models ◽  
Counseling Services ◽  
Online Counseling ◽  
Consulting Services ◽  
Online Consultation ◽  
Number Of Patients ◽  
Professional Titles ◽  
Online Reputation ◽  
Chinese Physicians ◽  
The City

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.

Unlocking Online Reputation

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

Collateral, Ease of Repossession, and Leases: Evidence from Antirecharacterization Laws

2020 ◽  
Vol 66 (7) ◽  
pp. 2951-2974 ◽  
Author(s):  
Yongqiang Chu
Keyword(s):  
Corporate Investment ◽  
Cash Holding ◽  
Debt Capacity

This paper studies how the ease of repossessing collateral in bankruptcy affects corporate leasing policy. Using plausibly exogenous variation of the ability to repossess assets generated by state antirecharacterization laws, I find that the antirecharacterization laws, which make collateral repossession easier for secured lending, reduces corporate leasing. Consistent with the argument that only financially constrained firms value additional debt capacity because of the increased ability to repossess assets, I find that the effect concentrates in financially constrained firms. I also find that the effect is much stronger for firms with less specific assets. In addition, I find that the laws also affect leverage, cash holding, and corporate investment. This paper was accepted by Gustavo Manso, finance.

scholarly journals An Online Reputation Analysis of the Tourism Industry in Marbella: A Preliminary Study on Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 111
Author(s):  
María Jesús Carrasco-Santos ◽  
Antonio Manuel Ciruela-Lorenzo ◽  
Juan Gabriel Méndez Pavón ◽  
Carmen Cristófol Rodríguez
Keyword(s):  
Quantitative Research ◽  
Tourism Industry ◽  
Future Research ◽  
Full Data ◽  
Tourist Destination ◽  
Specific Advice ◽  
Sociodemographic Profile ◽  
The One ◽  
Online Reputation ◽  
The City

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.

Nutzerzufriedenheit in den sozialen Medien. Wie beurteilen Patienten ihren Krankenhausaufenthalt online?

2021 ◽  
Author(s):  
Felix Hopf ◽  
Christiane Patzelt ◽  
Anja Schindler ◽  
Martin Emmert ◽  
Uwe Sander
Keyword(s):  
Social Media ◽  
Gesetzliche Krankenversicherung ◽  
Soziale Medien ◽  
Online Reputation

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.

Determining the reliability and validity of online reputation databases for lodging

2017 ◽  
Vol 24 (3) ◽  
pp. 261-274 ◽  
Author(s):  
Manuel Rodríguez Díaz ◽  
Tomás F Espino Rodríguez
Keyword(s):  
Reliability And Validity ◽  
Nonparametric Tests ◽  
Lodging Industry ◽  
Customer Reviews ◽  
Goods And Services ◽  
Strategic Factor ◽  
Customer Evaluations ◽  
New Type ◽  
Marketing Tool ◽  
Online Reputation

Online reputation is a strategic factor in determining the competitiveness and marketing capacity of lodging companies. The influence of online opinions on customers’ decisions is increasing, and, consequently, the online reputation is a new marketing tool to capture clients and reach sales objectives in the lodging industry. In this context, the reliability and validity of customer evaluations available on websites is an essential key to competing in a tourism market influenced by the development of the Internet. The objective of this study is to analyze three of the most important online reputation websites in tourism in order to establish the reliability and validity of the scales used in customer reviews. The results demonstrated that the three websites analyzed fulfill the conventional statistical criteria of reliability and validity. However, a new type of validity is formulated in this study in order to test the capacity of the scales to determine the similarities or differences between tourism goods and services. Nonparametric tests were carried out, demonstrating that although the three websites meet the conventional statistic criteria of reliability and validity, only Booking.com has the capacity to differentiate between destinations.

scholarly journals Online Reputation in Automotive

2017 ◽  
Vol 134 ◽  
pp. 00060 ◽  
Author(s):  
Josef Vodák ◽  
Milan Kubina ◽  
Jakub Soviar ◽  
Diana Zraková ◽  
Patrik Ferenc
Keyword(s):  
Online Reputation
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