scholarly journals Restaurant Success Rate Prediction

2021 ◽  
Vol 9 (VII) ◽  
pp. 3986-3996
Author(s):  
Apoorva Shete
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Online Reviews ◽  
Online Services ◽  
Important Indicator ◽  
Rate Prediction ◽  
Price Range ◽  
Restaurant Owners

Online reviews are becoming more and more vital when it comes to decision making of the consumer. Every business wants to succeed in the present and the upcoming future, thus good online reviews help the business grow. Especially in a restaurant business, its rating holds an important indicator to whether the restaurant is any good or not. It not only helps us understand the quality and services but also attracts more customers. Ordinarily a new restaurant owner would have to invest time in building a menu, setting the correct price range and making something unique to scope out their competition as well as improve their ratings on online services such as Zomato. Thus, this paper attempts to ease the efforts of new restaurant owners by predicting the success rate of a restaurant on the Zomato app.

Entscheidungsprozesse beim Übersetzen: Routine und Reflexion bei Novizen und Berufsübersetzern

Fachsprache ◽  
2017 ◽  
Vol 32 (3-4) ◽  
pp. 100-121
Author(s):  
Friederike Prassl
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Knowledge Integration ◽  
Popular Science ◽  
Failure Rates ◽  
Science Text ◽  
Success Rates ◽  
Preliminary Results ◽  
Decision Making Processes ◽  
Cognitive Involvement

This article focuses on the decision-making processes involved in research and knowledge integration in translation processes. First, the relevance of decision taking intranslation is discussed. Second, the psychology of decision making as seen by Jungermann et al. (2005) is introduced, who propose a categorization of decision-making processes intofour types: “routinized”, “stereotype”, “reflected” and “constructed”. This classification is then applied to the translations by five professional translators and five novices of five segments occurring in a popular-science text. The analysis reveals that the decision-making types are distributed differently among students and professional translators, which also has to be seen against the background of whether the decisions made were successful or not. The preliminary results of this study show that students resort to reflected decisions in most cases, but with a low success rate. Professionals achieve a higher success rate when making reflected decisions. As expected, they also make more routinized decisions than students. The professionals’ success rates improve with increasing cognitive involvement, while their failure rates are relatively high when making routinized decisions, an aspect worthwhile considering in translation didactics.

scholarly journals Online Reviews and Product Sales: The Role of Review Visibility

2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada
Keyword(s):  
Decision Making ◽  
Dynamic Models ◽  
Generalized Method Of Moments ◽  
Online Reviews ◽  
Consumer Decision Making ◽  
Product Sales ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.

scholarly journals Humans rely more on algorithms than social influence as a task becomes more difficult

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Bogert ◽  
Aaron Schecter ◽  
Richard T. Watson
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Social Influence ◽  
Correct Answer ◽  
Online Reviews ◽  
Personal Networks ◽  
Human Judgment ◽  
Individual Decision ◽  
Individual Decision Making

AbstractAlgorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.

scholarly journals SentiProdBR: Building Domain-Specific Sentiment Lexicons for the Portuguese Language

2021 ◽  
Author(s):  
Tiago de Melo
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
Online Reviews ◽  
Bayes Theorem ◽  
Experimental Results ◽  
Product Categories ◽  
Domain Specific ◽  
Alternative Approaches ◽  
The Web

Online reviews are readily available on the Web and widely used for decision-making. However, only a few studies on Portuguese sentiment analysis are reported due to the lack of resources including domain-specific sentiment lexical collections. In this paper, we present an effective methodology using probabilities of the Bayes’ Theorem for building a set of lexicons, called SentiProdBR, for 10 different product categories for the Portuguese language. Experimental results indicate that our methodology significantly outperforms several alternative approaches of building domain-specific sentiment lexicons.

Examining the Effect of Positive Online Reviews on Consumers' Decision Making

2019 ◽  
Vol 27 (3) ◽  
pp. 159-181 ◽  
Author(s):  
Lin Xiao ◽  
Yuan Li
Keyword(s):  
Decision Making ◽  
Perceived Risk ◽  
Online Survey ◽  
Source Credibility ◽  
Online Reviews ◽  
Consumer Information ◽  
Elaboration Likelihood ◽  
Argument Quality ◽  
Likelihood Model ◽  
Potential Risks

Online reviews play an important role in consumers' decision making. However, limited studies have been conducted to understand the effects of online reviews on consumers' behavior. Drawing upon the Elaboration Likelihood Model and the valence framework, a research model was developed to investigate the perceived benefits and potential risks brought by positive online reviews. The moderating effect of review skepticism was also examined. Data were collected through on online survey based on consumers' perceptions of the positive reviews from restaurants and food businesses and analyzed with partial least squares. The results indicated that argument quality and source credibility influence information usefulness, which further influences consumers' behavioral intentions. The influence of positive online reviews on perceived risk differs between high and low skepticism consumers. This research offers a more in-depth understanding of consumer information processing in an online context and benefits practitioners by allowing them to better understand consumers.

Factors influencing cruise vacations: the impact of online reviews and environmental friendliness

2019 ◽  
Vol 74 (3) ◽  
pp. 400-415 ◽  
Author(s):  
Frida Bahja ◽  
Cihan Cobanoglu ◽  
Katerina Berezina ◽  
Carolin Lusby
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Online Reviews ◽  
Influential Factors ◽  
Decision Making Process ◽  
Relative Importance ◽  
Environmental Friendliness ◽  
Content Type ◽  
Cruise Line ◽  
The Impact

Purpose The purpose of the study was to discover the relative importance of influencing factors toward booking a cruise vacation. Based on a review of literature, this study focused on exploring the relative importance of six influential factors in cruise customers’ decision-making process: cruise vacation price, cruise duration, distance from the cruise port, itineraries, environmental friendliness of cruise line and cruise online reviews. Design/methodology/approach The complexity of cruise customers’ decision-making process for involving these six attributes with several levels was examined with choice-based conjoint (CBC) analysis. CBC was selected due to its realistic approach to purchase decisions, in the form of trade-offs. The online survey collected data anonymously. The survey was distributed through Amazon’s Mechanical Turk (Mturk) platform. The sample consisted of 450 cruise customers, who had experienced a cruise vacation before. Findings The findings of the study showed that online reviews were the most influential attribute for cruise customers in their cruise decision, followed very closely by the environmental friendliness of the cruise line. The next influential factor was the duration of the cruise vacation, which was followed by distance from the cruise port, cruise itinerary and cruise vacation price. The best and the worst cruise vacation profiles were generated based on the CBC analysis. Practical implications The findings of this study provide some insights with regard to cruise customers’ importance about influencing factors when deciding on a cruise vacation. Originality/value The research provides insides in understanding the influential factors at the last stage of cruise customers’ decision-making process. In this regard, cruise industry can pay more attention in promoting the attributes of a cruise offer as influential factors. Additionally, the findings of this study contribute to the general knowledge about cruise customers’ decision-making process.

scholarly journals Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Rajkumar Rajavel ◽  
Mala Thangarathinam
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Decision Model ◽  
Research Work ◽  
Cloud Service ◽  
Negotiation Process ◽  
Communication Overhead ◽  
Markov Decision Problem ◽  
Fuzzy Similarity ◽  
Decision Making Model

Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.

scholarly journals The Effect of Reviewer Profile Photo on Purchase Decision: Evidence from Event-Related Potentials

2021 ◽  
Vol 17 (1) ◽  
pp. 49-57
Author(s):  
Xiaoli Tang ◽  
Zhijie Song
Keyword(s):  
Decision Making ◽  
Cognitive Processing ◽  
Social Presence ◽  
Event Related Potentials ◽  
Online Reviews ◽  
Evolutionary Significance ◽  
Purchase Decision ◽  
Related Potentials ◽  
Purchase Rate ◽  
The Impact

Although the number of studies on online reviews is growing, the impact of reviewer photo on consumer purchase decision-making has not yet been examined systematically. In particular, the underlying neural mechanisms have remained underexplored. Thus, the present study investigated whether and how reviewer photos affects consumers to make a purchase decision by using event-related potentials (ERPs). At the behavioral level, participants demonstrated a higher purchase rate with a shorter RT in situations with reviewer photos compared to situations without reviewer photos. Meanwhile, at the neural level, compared with situations without reviewer photos, situations with reviewer photos attracted more rapid attention resources at the early automatic processing phase, which induced a greater P2 amplitude, then mobilized more sustained attention allocation at the cognitive monitoring phase due to its evolutionary significance which elicited a more negative N2 amplitude, and finally resulted in a better evaluative categorization with higher motivational and emotional arousal due to its social presence which evoked a larger late positive potential (LPP) amplitude at the late elaborate cognitive processing phase. Those results illuminated the neural pathway of purchase decision-making when consumers were exposed in different conditions of reviewer photo. Moreover, the current study provided evidence for the underlying influence of reviewer photo on purchase decision-making in online shopping.

scholarly journals Global Methodology for Electrical Utilities Maintenance Assessment Based on Risk-Informed Decision Making

2021 ◽  
Vol 13 (16) ◽  
pp. 9091
Author(s):  
Mohamed Gaha ◽  
Bilal Chabane ◽  
Dragan Komljenovic ◽  
Alain Côté ◽  
Claude Hébert ◽  
...  
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Electrical Power ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Power Utility ◽  
Important Indicator ◽  
Power Utilities ◽  
The Impact ◽  
Electrical Utilities

Modern electrical power utilities must deal with the replacement of large portions of their assets as they reach the end of their useful life. Their assets may also become obsolete due to technological changes or due to reaching their capacity limits. Major upgrades are also often necessary due to the need to grow capacity or because of the transition to more efficient and carbon-free power alternatives. Consequently, electrical power utilities are exposed to significant risks and uncertainties that have mostly external origins. In this context, an effective framework should be developed and implemented to maximize value from assets, ensure sustainable operations and deliver adequate customer service. Recent developments show that combining the concepts of asset management and resilience offers strong potential for such a framework—not only for electrical utilities, but for industry, too. Given that the quality and continuity of service are critical factors, the concept of Value of Lost Load (VoLL) is an important indicator for assessing the value of undelivered electrical energy due to planned or unplanned outages. This paper presents a novel approach for integrating the power grid reliability simulator into a holistic framework for asset management and electrical power utility resilience. The proposed approach provides a sound foundation for Risk-Informed Decision Making in asset management. Among other things, it considers asset performance as well as the impact of both current grid topology and customer profiles on grid reliability and VoLL. A case study on a major North American electrical power utility demonstrates the applicability of the proposed methodology in assessing maintenance strategy.

Sign in / Sign up

Export Citation Format

Share Document