scholarly journals Behind the Review Curtain: Decomposition of Online Consumer Ratings in Peer-to-Peer Markets

2020 ◽  
Vol 12 (15) ◽  
pp. 6185
Author(s):  
Daniel Kaimann
Keyword(s):  
Decision Making ◽  
Positive Influence ◽  
Peer To Peer ◽  
Decision Making Process ◽  
Opportunistic Behavior ◽  
Consumer Ratings ◽  
Online Ratings ◽  
Negative Effect ◽  
Online Consumer ◽  
Using Data

Peer-to-peer markets are especially suitable for the analysis of online ratings as they represent two-sided markets that match buyers to sellers and thus lead to reduced scope for opportunistic behavior. We decompose the online ratings by focusing on the customer’s decision-making process in a leading peer-to-peer ridesharing platform. Using data from the leading peer-to-peer ridesharing platform BlaBlaCar, we analyze 17,584 users registered between 2004 and 2014 and their online ratings focusing on the decomposition of the explicit determinants reflecting the variance of online ratings. We find clear evidence to suggest that a driver’s attitude towards music, pets, smoking, and conversation has a significantly positive influence on his received online ratings. However, we also show that the interaction of female drivers and their attitude towards pets has a significantly negative effect on average ratings.

scholarly journals Analysis of Decision Making Process in Moneyball: The Art of Winning an Unfair Game

The Winners ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 57
Author(s):  
Mochamad Sandy Triady ◽  
Ami Fitri Utami
Keyword(s):  
Decision Making ◽  
Excellent Result ◽  
Data Driven ◽  
Decision Making Process ◽  
Data Driven Decision Making ◽  
General Manager ◽  
Use Of Data ◽  
Bottom Position ◽  
Using Data ◽  
Baseball Team

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.

The Full Knowledge of Big Data in the Integration of Inter-Organizational Information

Web Services ◽  
2019 ◽  
pp. 803-821
Author(s):  
Thiago Poleto ◽  
Victor Diogho Heuer de Carvalho ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Making Process ◽  
Data Repositories ◽  
Modeling And Analysis ◽  
Incremental Change ◽  
Working Together ◽  
Full Knowledge ◽  
Using Data

Big Data is a radical shift or an incremental change for the existing digital infrastructures, that include the toolset used to aid the decision making process such as information systems, data repositories, formal modeling, and analysis of decisions. This work aims to provide a theoretical approach about the elements necessary to apply the big data concept in the decision making process. It identifies key components of the big data to define an integrated model of decision making using data mining, business intelligence, decision support systems, and organizational learning all working together to provide decision support with a reliable visualization of the decision-related opportunities. The concepts of data integration and semantic also was explored in order to demonstrate that, once mined, data must be integrated, ensuring conceptual connections and bequeathing meaning to use them appropriately for problem solving in decision.

The Full Knowledge of Big Data in the Integration of Inter-Organizational Information

2017 ◽  
Vol 9 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Thiago Poleto ◽  
Victor Diogho Heuer de Carvalho ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Making Process ◽  
Data Repositories ◽  
Modeling And Analysis ◽  
Incremental Change ◽  
Working Together ◽  
Full Knowledge ◽  
Using Data

Big Data is a radical shift or an incremental change for the existing digital infrastructures, that include the toolset used to aid the decision making process such as information systems, data repositories, formal modeling, and analysis of decisions. This work aims to provide a theoretical approach about the elements necessary to apply the big data concept in the decision making process. It identifying key components of the big data to define an integrated model of decision making using data mining, business intelligence, decision support systems, and organizational learning all working together to provide decision support with a reliable visualization of the decision-related opportunities. The concepts of data integration and semantic also was explored in order to demonstrate that, once mined, data must be integrated, ensuring conceptual connections and bequeathing meaning to use them appropriately for problem solving in decision.

Online Peer-to-peer Lending Decision Making: Model Development and Testing

2016 ◽  
Vol 44 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Qingyao Wan ◽  
Dongyu Chen ◽  
Weihua Shi
Keyword(s):  
Decision Making ◽  
Model Development ◽  
Peer To Peer ◽  
Initial Trust ◽  
Perceived Benefit ◽  
Decision Making Processes ◽  
P2p Lending ◽  
Using Data ◽  
Lending Decision ◽  
Decision Making Model

We explored lenders' decision-making processes in online peer-to-peer (P2P) lending by drawing on trust theory and the valence framework to develop an integrated decisionmaking model, which we then tested empirically using data from a survey conducted with 474 online lenders in China. The results showed that initial trust and perceived benefit determined willingness to lend, and that the fear of borrower opportunism did not have a significant impact on this willingness. Initial trust increased willingness to lend both directly and indirectly, increased it by increasing perceived benefit. We have identified the specific features of online P2P lending and provided valuable insights for borrowers, lenders, and intermediaries.

scholarly journals Impact of gender and ethnic composition of South African boards of directors on intellectual capital performance

2006 ◽  
Vol 2 (1) ◽  
pp. 7-22 ◽  
Author(s):  
Mitchell Van der Zahn
Keyword(s):  
Firm Performance ◽  
South African ◽  
Intellectual Capital ◽  
Boards Of Directors ◽  
Positive Association ◽  
Positive Influence ◽  
Ethnic Composition ◽  
Inside Directors ◽  
Negative Effect ◽  
Using Data

This study examines the association between the gender and ethnic composition of boards of directors and firm performance in a transitional nation. In contrast to prior research that largely focuses on firm performance within a financial context, this study concentrates on intellectual capital performance. Using data collected from 84 South African, empirical results indicate a positive association between the percentage of female and non-white directors on the board and a firm’s intellectual capital performance. Additional analysis shows the designation of female directors as an insider has a negative effect of intellectual capital performance. Designation of female and non-white directors as outsiders, meanwhile, has a positive influence on a firm’s intellectual capital performance. Finally, there was no association between the percentage of non-white inside directors on the board and intellectual capital performance.

scholarly journals The Politics of Fair Trade Consumption: A U.S. Perspective.

2020 ◽  
Author(s):  
Caroline Josephine Burns ◽  
Ameera Ibrahim
Keyword(s):  
Decision Making ◽  
Fair Trade ◽  
Political Activism ◽  
Positive Influence ◽  
Decision Making Process ◽  
Consumption Practices ◽  
Consumption Decision ◽  
Decision Making Criteria

On analysis of data from 350 fair trade consumers we found evidence that suggests fair trade consumption seems to be tinged with political activism at least in a U. S. context. We asked consumers whether politics was meaningful in their consumption practices and on regressing the data we found that there is a positive influence of politics as a decision-making criteria and the frequency of fair trade purchases. That is to say, the more consumers report that they use politics in their consumption decision-making process the more fair trade they purchase.

scholarly journals Differences in Online Consumer Ratings of Health Care Providers Across Medical, Surgical, and Allied Health Specialties: Observational Study of 212,933 Providers (Preprint)

2017 ◽  
Author(s):  
Timothy Daskivich ◽  
Michael Luu ◽  
Benjamin Noah ◽  
Garth Fuller ◽  
Jennifer Anger ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Allied Health ◽  
The United States ◽  
Health Providers ◽  
Care Providers ◽  
Medical Specialties ◽  
Consumer Ratings ◽  
Online Ratings ◽  
Online Consumer

BACKGROUND Health care consumers are increasingly using online ratings to select providers, but differences in the distribution of scores across specialties and skew of the data have the potential to mislead consumers about the interpretation of ratings. OBJECTIVE The objective of our study was to determine whether distributions of consumer ratings differ across specialties and to provide specialty-specific data to assist consumers and clinicians in interpreting ratings. METHODS We sampled 212,933 health care providers rated on the Healthgrades consumer ratings website, representing 29 medical specialties (n=128,678), 15 surgical specialties (n=72,531), and 6 allied health (nonmedical, nonnursing) professions (n=11,724) in the United States. We created boxplots depicting distributions and tested the normality of overall patient satisfaction scores. We then determined the specialty-specific percentile rank for scores across groupings of specialties and individual specialties. RESULTS Allied health providers had higher median overall satisfaction scores (4.5, interquartile range [IQR] 4.0-5.0) than physicians in medical specialties (4.0, IQR 3.3-4.5) and surgical specialties (4.2, IQR 3.6-4.6, P<.001). Overall satisfaction scores were highly left skewed (normal between –0.5 and 0.5) for all specialties, but skewness was greatest among allied health providers (–1.23, 95% CI –1.280 to –1.181), followed by surgical (–0.77, 95% CI –0.787 to –0.755) and medical specialties (–0.64, 95% CI –0.648 to –0.628). As a result of the skewness, the percentages of overall satisfaction scores less than 4 were only 23% for allied health, 37% for surgical specialties, and 50% for medical specialties. Percentile ranks for overall satisfaction scores varied across specialties; percentile ranks for scores of 2 (0.7%, 2.9%, 0.8%), 3 (5.8%, 16.6%, 8.1%), 4 (23.0%, 50.3%, 37.3%), and 5 (63.9%, 89.5%, 86.8%) differed for allied health, medical specialties, and surgical specialties, respectively. CONCLUSIONS Online consumer ratings of health care providers are highly left skewed, fall within narrow ranges, and differ by specialty, which precludes meaningful interpretation by health care consumers. Specialty-specific percentile ranks may help consumers to more meaningfully assess online physician ratings.

scholarly journals Factors Affecting Decision Making Process on Spine Surgery: Patients’ Perspective

2020 ◽  
Vol 24 (2) ◽  
pp. 143-148
Author(s):  
FAZAL GHANI ◽  
IRUM KHATTAK ◽  
SHABNUM AAMIR ◽  
FAROOQ AZAM
Keyword(s):  
Decision Making ◽  
Socioeconomic Status ◽  
Conservative Treatment ◽  
Spine Surgery ◽  
Negative Relationship ◽  
Positive Influence ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Social State ◽  
Severity Of Disability

Objective:  To determine the factors that affects the decision making process of the spine surgery from a patient’s perspective. Material and Methods:  The study was carried on 264 patients admitted for spine surgery in the Department of Neurosurgery, Khyber Teaching Hospital, Peshawar, Pakistan. Data was collected from patients on questionnaire using a Likert scale. Reliability was ensured by Cronbach alpha. Results:  The results for regression analysis revealed that there is a significant negative relationship between previous experiences and decision for spine surgery in patients (β = -0.156, p = 0.001 < 0.05). There is a significant positive influence of emotional and social state (β = 0.193, p = 0.002), information & counselling (β = 0.097, p = 0.011), socioeconomic status (β = 0.131, p = 0.004), severity of disability (β = 0.602, p = 0.000), ineffective conservative treatment (β9 = 0.082, p = 0.013) and intensity of pain (β = 0.527, p = 0.000) on decision for spine surgery in patients. The independent variables, including physical health, gender role and age were found to have an insignificant effect on the decision for spine surgery (p > 0.05). Conclusion:  It is concluded that the factors affecting the decision of patients on spine surgery included previous experience, emotional & social state, information & counselling, socioeconomic status, severity of disability, ineffectiveness of previously taken conservative treatment and intensity of pain.

scholarly journals Pakistani Hotels Industry: A New Paradigm to Investigate Visitors’ Decision-Making Process

2018 ◽  
Vol 2 (3) ◽  
pp. 219-223 ◽  
Author(s):  
Shahid Bashir ◽  
Mudassar Ghani Khwaja
Keyword(s):  
Decision Making ◽  
Willingness To Pay ◽  
Positive Influence ◽  
Decision Making Process ◽  
Test Model ◽  
Unique Contribution ◽  
New Paradigm ◽  
Green Management ◽  
Green Hotel ◽  
Green Hotels

To investigate the green hotel’s visitors’ decision-making process, this study provides a fresh insight into existing knowledge related to Pakistani consumer’s beliefs regarding green practices, attitude toward green behavior, overall image, and behavioral intentions. Using Structural Equaltion Modelling (SEM) on a sample size of 372 Pakistani Lodging consumers, a test model confirmed that attitudes towards green behaviour have a positive influence on the overall image of green hotel, intention to visit green hotels, and willingness to pay more for green hotels. Moreover, environmental and luxury beliefs have a positive influence on attitudes and intentions about visiting green hotels, and willingness to pay more for green hotels. Furthermore, attitude towards green behaviour and overall image of green hotels have mediating roles exist in that test model, which is a unique contribution to the knowledge body. These outcomes are expected to help Pakistani marketers and managers, especially green management practitioners, to recognize more subjective initiatives for entering international and local segments.

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