scholarly journals A comparison of hotel ratings between verified and non-verified online review platforms

2020 ◽  
Vol 14 (2) ◽  
pp. 157-171
Author(s):  
Paolo Figini ◽  
Laura Vici ◽  
Giampaolo Viglia
Keyword(s):  
Mobile Apps ◽  
Time Windows ◽  
Structural Difference ◽  
Online Review ◽  
Review System ◽  
Content Type ◽  
Platform Comparison ◽  
Fake Reviews ◽  
Early Phases

Purpose This study aims to compare the rating dynamics of the same hotels in two online review platforms (Booking.com and Trip Advisor), which mainly differ in requiring or not requiring proof of prior reservation before posting a review (respectively, a verified vs a non-verified platform). Design/methodology/approach A verified system, by definition, cannot host fake reviews. Should also the non-verified system be free from “ambiguous” reviews, the structure of ratings (valence, variability, dynamics) for the same items should also be similar. Any detected structural difference, on the contrary, might be linked to a possible review bias. Findings Travelers’ scores in the non-verified platform are higher and much more volatile than ratings in the verified platform. Additionally, the verified review system presents a faster convergence of ratings towards the long-term scores of individual hotels, whereas the non-verified system shows much more discordance in the early phases of the review window. Research limitations/implications The paper offers insights into how to detect suspicious reviews. Non-verified platforms should add indices of scores’ dispersion to existing information available in websites and mobile apps. Moreover, they can use time windows to delete older (and more likely biased) reviews. Findings also ring a warning bell to tourists about the reliability of ratings, particularly when only a few reviews are posted online. Originality/value The across-platform comparison of single items (in terms of ratings’ dynamics and speed of convergence) is a novel contribution that calls for extending the analysis to different destinations and types of platform.

Management of competition among sellers and its performance implications for business-to-business electronic platforms

2015 ◽  
Vol 6 (2) ◽  
pp. 199-222 ◽  
Author(s):  
Xiaoling Li ◽  
Xingyao Ren ◽  
Xu Zheng
Keyword(s):  
Longitudinal Research ◽  
Time Windows ◽  
Customer Relationship ◽  
Effective Control ◽  
Marketing Tactics ◽  
Long Term Effects ◽  
Content Type ◽  
Short And Long Term ◽  
Term Performance

Purpose – This paper aimed to analyze the short- and long-term effects of the breadth and depth of seller competition on the performance of platform companies, and investigated the underlying mechanisms of customers’ two-sided marketing tactics on the structure of the competition between sellers. Design/methodology/approach – A longitudinal research design was adopted by gathering daily market objective data on e-commerce platforms for 250 days, and the dynamic evolution effects was analyzed by using a vector autoregression model which compared the differences between the short- and long-term effectiveness of different customer relationship management (CRM) strategies. Findings – The breadth of competition amongst sellers improves the performance of platforms, whilst the depth of competition among sellers has a positive effect on the short-term performance. However, it has a negative effect on the long-term performance of their platforms. In both the short and long terms, advertising tactics that attract new buyers contribute more to increases in the breadth of seller competition than those that attract existing buyers do. Subsidies for new sellers decrease the depth of seller competition more than those for old sellers. Research limitations/implications – Further research could be undertaken to investigate the validity of marketing tactics other than advertising tactics, and thus expand the time windows of the available data. Practical implications – It is imperative for platform companies to implement effective control over seller competition to balance the interests of the sellers and of themselves. Originality/value – The dyadic paradigm of CRM research has been extended by considering the perspective of the electronic platform company, how the tactics of exploitation and exploration of two-sided customers impact upon seller competitive structures have been delved into and why new customers have a unique value to platform companies has been identified.

How does review disconfirmation influence customer online review behavior? A mixed-method investigation

2020 ◽  
Vol 32 (11) ◽  
pp. 3685-3703
Author(s):  
Hengyun Li ◽  
Fang Meng ◽  
Bing Pan
Keyword(s):  
Mixed Method ◽  
Online Reviews ◽  
Service Evaluation ◽  
Online Review ◽  
Content Type ◽  
Consumption Behavior ◽  
The Social ◽  
Managerial Implications ◽  
Fake Reviews ◽  
The Relationship

Purpose With the growing online review manipulation and fake reviews in the hospitality industry, it is not uncommon that a consumer encounters disconfirmation when comparing the existing online reviews with his/her own product or service evaluation. The purpose of this study is to investigate the influence of review disconfirmation on customer online review writing behavior. Design/methodology/approach This study used a mixed-method combining online secondary big data modeling and experimental design. Findings Review disconfirmation influences customers’ emotional responses embedded in the review; a customer who encounters review disconfirmation tends to exert more reviewing effort, manifested by writing longer reviews; negativity bias exists in disconfirmation effects, in that negative review disconfirmation shows more significant and stronger effects than positive review disconfirmation. Practical implications Findings from this study provide important managerial implications for business owners and marketers who attempt to influence online reviews. The study suggests that fictitious online review manipulation might be detrimental to the business. Originality/value This research contributes to two literature streams, including research on the social influence of online consumer reviews, and the relationship between disconfirmation and consumers’ post-consumption behavior, by extending the influence of disconfirmation from the offline context to the online context.

Impacts of uncertain online reviews on pricing and profits of competitive retailers

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cui Zhao ◽  
Yao Zhang
Keyword(s):  
Theoretical Model ◽  
Profit Maximization ◽  
Online Reviews ◽  
Online Review ◽  
Equilibrium Solutions ◽  
Review System ◽  
Product Price ◽  
Content Type ◽  
Price Optimization ◽  
Game Theoretical Model

Purpose This paper aims to investigate the impacts of uncertain online reviews on product prices and profits of two competitive retailers. Design/methodology/approach First, the authors develop a game-theoretical model to determine the optimal product prices and profits considering uncertain online reviews. Afterwards, to examine the effects of the uncertain online reviews, they compare the equilibrium solutions with those of the game-theoretical models of deterministic online reviews and no online reviews, respectively. Findings Uncertain online reviews play a significant role in product price optimization and profit maximization. In the quality-dominates-fit case, both retailers will lower their product prices in response to the uncertain online reviews. And the uncertain online reviews would hurt the two retailers. Conversely, in the fit-dominates-quality case, the presence of uncertain online reviews will encourage both retailers to raise their product prices. And the two retailers can still benefit from the online reviews. With the increase in consumer uncertainty about online reviews, both retailers might raise their product prices, thus generating higher profits. Practical implications Managerially, the results indicate that in the quality-dominates-fit case, when consumers are uncertain about online reviews, it might be better for retailers to abandon the online review system; however, in the fit-dominates-quality case, both retailers could still benefit from the uncertain online reviews through product price optimization. Therefore, the presence of an online review system could be beneficial. Originality/value This paper develops a game-theoretical model to help competitive retailers optimize their price strategies and achieve profit maximization considering uncertain online reviews.

Dual-isotope single-photon emission computerized tomography scanning in patients with glioblastoma multiforme: association with patient survival and histopathological characteristics of tumor after high-dose radiotherapy

1998 ◽  
Vol 89 (1) ◽  
pp. 60-68 ◽  
Author(s):  
Richard B. Schwartz ◽  
B. Leonard Holman ◽  
Joseph F. Polak ◽  
Basem M. Garada ◽  
Marc S. Schwartz ◽  
...  
Keyword(s):  
Survival Rate ◽  
Glioblastoma Multiforme ◽  
Single Photon ◽  
Photon Emission ◽  
High Dose ◽  
Term Survival ◽  
Content Type ◽  
Dual Isotope ◽  
Fine Print

Object. The study was conducted to determine the association between dual-isotope single-photon emission computerized tomography (SPECT) scanning and histopathological findings of tumor recurrence and survival in patients treated with high-dose radiotherapy for glioblastoma multiforme. Methods. Studies in which SPECT with 201Tl and 99mTc-hexamethypropyleneamine oxime (HMPAO) were used were performed 1 day before reoperation in 47 patients with glioblastoma multiforme who had previously been treated by surgery and high-dose radiotherapy. Maximum uptake of 201Tl in the lesion was expressed as a ratio to that in the contralateral scalp, and uptake of 99mTc-HMPAO was expressed as a ratio to that in the cerebellar cortex. Patients were stratified into groups based on the maximum radioisotope uptake values in their tumor beds. The significance of differences in patient gender, histological characteristics of tissue at reoperation, and SPECT uptake group with respect to 1-year survival was elucidated by using the chi-square statistic. Comparisons of patient ages and time to tumor recurrence as functions of 1-year survival were made using the t-test. Survival data at 1 year were presented according to the Kaplan—Meier method, and the significance of potential differences was evaluated using the log-rank method. The effects of different variables (tumor type, time to recurrence, and SPECT grouping) on long-term survival were evaluated using Cox proportional models that controlled for age and gender. All patients in Group I (201Tl ratio < 2 and 99mTc-HMPAO ratio < 0.5) showed radiation changes in their biopsy specimens: they had an 83.3% 1-year survival rate. Group II patients (201T1 ratio < 2 and 99mTc-HMPAO ratio of ≥ 0.5 or 201Tl ratio between 2 and 3.5 regardless of 99mTc-HMPAO ratio) had predominantly infiltrating tumor (66.6%); they had a 29.2% 1-year survival rate. Almost all of the patients in Group III (201Tl ratio > 3.5 and 99mTc-HMPAO ratio ≥ 0.5) had solid tumor (88.2%) and they had a 6.7% 1-year survival rate. Histological data were associated with 1-year survival (p < 0.01); however, SPECT grouping was more closely associated with 1-year survival (p < 0.001) and was the only variable significantly associated with long-term survival (p < 0.005). Conclusions. Dual-isotope SPECT data correlate with histopathological findings made at reoperation and with survival in patients with malignant gliomas after surgical and high-dose radiation therapy.

Long-term management of patients with multiple brain metastases after shaped beam radiosurgery

2004 ◽  
pp. 406-412
Author(s):  
Paul Okunieff ◽  
Michael C. Schell ◽  
Russell Ruo ◽  
E. Ronald Hale ◽  
Walter G. O'Dell ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Tumor Control ◽  
Content Type ◽  
Negative Results ◽  
Multiple Metastases ◽  
Extracranial Disease ◽  
Successful Control ◽  
The Brain

✓ The role of radiosurgery in the treatment of patients with advanced-stage metastatic disease is currently under debate. Previous randomized studies have not consistently supported the use of radiosurgery to treat patients with numbers of brain metastases. In negative-results studies, however, intracranial tumor control was high but extracranial disease progressed; thus, patient survival was not greatly affected, although neurocognitive function was generally maintained until death. Because the future promises improved systemic (extracranial) therapy, the successful control of brain disease is that much more crucial. Thus, for selected patients with multiple metastases to the brain who remain in good neurological condition, aggressive lesion-targeting radiosurgery should be very useful. Although a major limitation to success of this therapy is the lack of control of extracranial disease in most patients, it is clear that well-designed, aggressive treatment substantially decreases the progression of brain metastases and also improves neurocognitive survival. The authors present the management and a methodology for rational treatment of a patient with breast cancer who has harbored 24 brain metastases during a 3-year period.

Spinal meningioma after treatment for Hodgkin disease

2001 ◽  
Vol 95 (2) ◽  
pp. 232-235 ◽  
Author(s):  
Andrew J. Martin ◽  
Christopher J. Hammond ◽  
H. Jane Dobbs ◽  
Safa Al-Sarraj ◽  
Nicholas W. M. Thomas
Keyword(s):  
Hodgkin Disease ◽  
Second Primary ◽  
Combined Modality Treatment ◽  
Spinal Meningioma ◽  
Primary Tumors ◽  
Content Type ◽  
Radiation Induced ◽  
Mutagenic Effects ◽  
Long Term Survivors

✓ Long-term survivors of Hodgkin disease may develop second primary tumors caused by the mutagenic effects of radio- and chemotherapy. The authors describe the case of a 35-year-old woman who presented with an unusual meningioma of the cervical spine 9 years after undergoing combined-modality treatment for Hodgkin disease. To the authors' knowledge, this is the first report of spinal meningioma as a complication of such therapy. Whereas radiation-induced intracranial meningiomas are well described in the literature, treatment-induced meningiomas of the spine have not been widely recognized.

Moving Songs

2019 ◽  
pp. 590-606
Author(s):  
Sally Treloyn ◽  
Matthew Dembal Martin ◽  
Rona Goonginda Charles
Keyword(s):  
Cultural Heritage ◽  
Knowledge Transmission ◽  
Intercultural Relationships ◽  
Cultural Negotiation ◽  
Intercultural Collaboration ◽  
Present Collection ◽  
Intergenerational Knowledge ◽  
Early Phases ◽  
Insight Into

Repatriation has become almost ubiquitous in ethnomusicological research on Australian Indigenous song. This article provides insights into processes of a repatriation-centered song revitalization project in the Kimberley, northwest Australia. Authored by an ethnomusicologist and two members of the Ngarinyin cultural heritage community, the article provides firsthand accounts of the early phases of a long-term repatriation-centered project referred to locally as the Junba Project. The authors provide a sample of narratives and dialogues that deliver insight into experiences of the work of identifying recordings “in the archive” and cultural negotiation and use of recordings “on Country.” The entanglement of local epistemological frameworks with past and present collection, archival research, repatriation, and dissemination for intergenerational knowledge transmission between spirits, Country, and the living, is explored, showing how recordings move song knowledge from community to archive to community and from generation to generation, and move people in present-day communities. The chapter considers how these “moving songs” allow an interrogation of the fraught endeavor of intercultural collaboration in the pursuit of revitalizing Indigenous song traditions. It positions repatriation as a method that can support intergenerational knowledge transmission and as a method to consider past and present intercultural relationships within research projects and between cultural heritage communities and collecting institutions.

Increase associated risk of gynaecological cancer due to long-term exposure to high concentration of atmospheric SO2 industrial pollutant

2021 ◽  
pp. 1420326X2110036
Author(s):  
Qian Xu ◽  
Chan Lu ◽  
Rachael Gakii Murithi ◽  
Lanqin Cao
Keyword(s):  
Time Windows ◽  
Air Pollutant ◽  
Gynaecological Cancer ◽  
High Concentration ◽  
The Past ◽  
Short And Long Term ◽  
Using Data ◽  
Air Quality Monitoring Stations ◽  
Control Study

A cohort case–control study was conducted in XiangYa Hospital, Changsha, China, which involved 305 patients and 399 healthy women, from June 2010 to December 2018, to evaluate the association between Chinese women’s short- and long-term exposure to industrial air pollutant, SO2 and gynaecological cancer (GC). We obtained personal and family information from the XiangYa Hospital electronic computer medical records. Using data obtained from the air quality monitoring stations in Changsha, we estimated each woman’s exposure to the industrial air pollutant, sulphur dioxide (SO2), for different time windows, including the past 1, 5, 10 and 15 years before diagnosis of the disease. A multiple logistic regression model was used to assess the association between GC and SO2 exposure. GC was significantly associated with long-term SO2 exposure, with adjusted odds ratio (95% confidence interval) = 1.56 (1.10–2.21) and 1.81 (1.07–3.06) for a per interquartile range increase in the past 10 and 15 years, respectively. Sensitivity analysis showed that different groups reacted in different ways to long-term SO2 exposure. We concluded that long-term exposure to high concentration of industrial pollutant, SO2 is associated with the development of GC. This finding has implications for the prevention and reduction of GC.

To examine the relationships between supplier development practices and supplier-buyer relationship practices from the supplier’s perspective

2017 ◽  
Vol 24 (5) ◽  
pp. 1309-1336 ◽  
Author(s):  
Sarang Joshi ◽  
Manoj Kharat ◽  
Rakesh Raut ◽  
Sachin Kamble ◽  
Sheetal Kamble
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Supplier Development ◽  
Competitive Advantages ◽  
Content Type ◽  
The Relationship ◽  
Relationship Improvement

Purpose The purpose of this paper is to examine the relationships between supplier development practices (SDPs) and supplier-buyer relationship practices from the supplier’s perspective (SBRSP), and seek to understand how specific SDPs may impact a buyer’s operational performance as well as supplier-buyer relationship practices. Design/methodology/approach The authors conducted a survey of 512 respondents from the different manufacturing firms in India and applied structural equation modelling to test a structural model that proposes the impacts of various efforts of SDPs on a buyer’s performance as well as SBRSP. Findings The study concludes that SDPs and SBRSP together improve the relationship between a buyer and supplier, and this improved relationship leads to competitive advantages (CAs) followed by profitability. Results indicate that supplier perspective of buyer-supplier relationship can be improved under the condition of SDPs and SBRSP together. SDPs are driven by productive measure and competitive pressure, whereas customer uncertainty is found to be statistically insignificant. Research limitations/implications The study was carried out in North Maharashtra Industrial Zone of India, where the auto sector and machine/components manufacturing firms have been established for a considerable period of time. Results of the study are limited to manufacturing organizations predominantly focussing on the automobile sector and machine/components manufacturing firms. Practical implications This study provides significant insights into the specific impact of various SDPs and SBRSP for both academics and practitioners. SDPs along with SBRSP practices lead to improvement in the relationship leading to CAs. SBRSP suggests that trust, long-term commitments and the supplier’s perspective are important practices for relationship improvement. Originality/value The current study attempts to identify what are the success factors for the supplier-buyer relationship from the supplier’s perspective and SDPs and how the supplier-buyer relationship can be improved under the condition of SDPs and SBRSP. Hence, the aim is to develop a more thorough understanding of the outcomes of a supplier-buyer relationship improvement from both buyer’s and supplier’s perspective, under the conditions of supplier development to achieve CAs leading to profitability. Furthermore, the study analyses the effect of the improved supplier-buyer relationship for achieving CAs leading to profitability.

scholarly journals A Novel Deep Learning Approach for Machinery Prognostics Based on Time Windows

2019 ◽  
Vol 9 (22) ◽  
pp. 4813 ◽  
Author(s):  
Hanbo Yang ◽  
Fei Zhao ◽  
Gedong Jiang ◽  
Zheng Sun ◽  
Xuesong Mei
Keyword(s):  
Time Windows ◽  
Remaining Useful Life ◽  
Sensor Data ◽  
Time Interval ◽  
Kernel Module ◽  
Initial Stage ◽  
Research Task ◽  
Consecutive Time ◽  
Useful Life

Remaining useful life (RUL) prediction is a challenging research task in prognostics and receives extensive attention from academia to industry. This paper proposes a novel deep convolutional neural network (CNN) for RUL prediction. Unlike health indicator-based methods which require the long-term tracking of sensor data from the initial stage, the proposed network aims to utilize data from consecutive time samples at any time interval for RUL prediction. Additionally, a new kernel module for prognostics is designed where the kernels are selected automatically, which can further enhance the feature extraction ability of the network. The effectiveness of the proposed network is validated using the C-MAPSS dataset for aircraft engines provided by NASA. Compared with the state-of-the-art results on the same dataset, the prediction results demonstrate the superiority of the proposed network.

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