scholarly journals Design of the top tether component for the premium car market segment: Case study of Volvo Cars

Procedia CIRP ◽  
2020 ◽  
Vol 91 ◽  
pp. 146-151
Author(s):  
Kostas Stylidis ◽  
Elias Al-Saidi ◽  
Arun Thomas Erinjery ◽  
Lars Lindkvist ◽  
Casper Wickman ◽  
...  
Keyword(s):  
Market Segment ◽  
Car Market ◽  
Volvo Cars

scholarly journals Influence of Tourism Seasonality and Financial Ratios on Hotels’ Exit Risk

2021 ◽  
pp. 109634802110160
Author(s):  
Dengjun Zhang ◽  
Jinghua Xie
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Hotel Industry ◽  
Financial Ratios ◽  
Market Segment ◽  
Tourism Demand ◽  
Hazards Model ◽  
Two Measures ◽  
The Impact

Tourism seasonality negatively affects hotels’ operational and financial performance and then survival probabilities. Several studies have evaluated the impact of tourism seasonality on hotels’ exit risk. However, the empirical findings are ambiguous, probably due to the overall seasonality and different measures used in these studies. Against this background, this study explores the impact of tourism seasonality on hotel firms’ exit risk, using a proportional hazards model. We controlled for financial ratios, the main factors influencing the exit risk, and used two measures of tourism seasonality by market segment, namely, leisure, business, and conference tourism. The case study is the Norwegian hotel industry. The empirical results suggest that the different seasonal patterns of tourism demand in the market segments mitigate the impact of the overall seasonality on hotels’ exit risk, and that seasonality measures of various tourism segments affect the exit risk in different ways.

An Integrated Data Mining and Simulation Solution

2010 ◽  
pp. 929-948
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh ◽  
Zaidoun Alzoabi
Keyword(s):  
Data Mining ◽  
Fuzzy Inference ◽  
Decision Support Tools ◽  
Market Demand ◽  
Inference System ◽  
Car Market ◽  
Neuro Fuzzy ◽  
Support Tools ◽  
Quality In Higher Education

Simulation and data mining can provide managers with decision support tools. However, the heart of data mining is knowledge discovery; as it enables skilled practitioners with the power to discover relevant objects and the relationships that exist between these objects, while simulation provides a vehicle to represent those objects and their relationships. In this chapter, the authors will propose an intelligent DSS framework based on data mining and simulation integration. The main output of this framework is the increase of knowledge. Two case studies will be presented, the first one on car market demand simulation. The simulation model was built using neural networks to get the first set of prediction results. Data mining methodology used named ANFIS (Adaptive Neuro-Fuzzy Inference System). The second case study will demonstrate how applying data mining and simulation in assuring quality in higher education

scholarly journals Impact of consumer innovativeness on shopping styles: a case study of university students from Pakistan

2019 ◽  
Vol 13 (3-4) ◽  
pp. 79-86
Author(s):  
Muhammad Fahid Muqaddas ◽  
Zoltán Szakály
Keyword(s):  
University Students ◽  
New Products ◽  
New Product ◽  
Marketing Communications ◽  
Integrated Marketing Communications ◽  
Market Segment ◽  
Integrated Marketing ◽  
Consumer Innovativeness

This study examines the effects of various types of consumers’ innovativeness on the consumer shopping styles. The results highlight that social, hedonic and cognitive innovativeness have an impact on consumer shopping styles, but functional innovativeness doesn’t influence consumer shopping styles. The study is based on sample of university students from Rawalpindi and Islamabad and its outcomes pave grounds for marketers to develop a better understanding for marketing new products and services. New product and services can be designed to magnetize innovative consumers. Integrated marketing communications should be planned according to the shopping styles of innovative consumers. Youngsters being a sizeable market segment in Pakistan, therefore, this study will guide the marketers to understand this segment better. This study discovers the association between different kinds of innovative consumer and consumer shopping styles.

IMPACT OF ECOLOGICAL INNOVATIONS ON CONSUMERS’ PREFERENCES (RUSSIAN CAR MARKET AS A CASE STUDY)

2017 ◽  
Vol 3 (64) ◽  
pp. 96-109 ◽  
Author(s):  
S.G. Bozhuk ◽  
◽  
N.A. Pletneva ◽  
K.V. Evdokimov ◽  
◽  
...  
Keyword(s):  
Car Market

An Integrated Data Mining and Simulation Solution

2010 ◽  
pp. 359-378 ◽  
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh ◽  
Zaidoun Alzoabi
Keyword(s):  
Data Mining ◽  
Fuzzy Inference ◽  
Decision Support Tools ◽  
Market Demand ◽  
Inference System ◽  
Car Market ◽  
Neuro Fuzzy ◽  
Support Tools ◽  
Quality In Higher Education

Simulation and data mining can provide managers with decision support tools. However, the heart of data mining is knowledge discovery; as it enables skilled practitioners with the power to discover relevant objects and the relationships that exist between these objects, while simulation provides a vehicle to represent those objects and their relationships. In this chapter, the authors will propose an intelligent DSS framework based on data mining and simulation integration. The main output of this framework is the increase of knowledge. Two case studies will be presented, the first one on car market demand simulation. The simulation model was built using neural networks to get the first set of prediction results. Data mining methodology used named ANFIS (Adaptive Neuro-Fuzzy Inference System). The second case study will demonstrate how applying data mining and simulation in assuring quality in higher education

scholarly journals Innovation and Business Model - A Case Study in Sector Vintner

2013 ◽  
Vol 12 (2) ◽  
pp. 250-273
Author(s):  
Leonel Cezar Rodrigues ◽  
Amelia Silveira ◽  
Carlos Mamori Kono ◽  
Fernando Cesar Lenzi
Keyword(s):  
Product Quality ◽  
Business Model ◽  
Corporate Strategy ◽  
International Market ◽  
Fine Tuning ◽  
Market Segment ◽  
Strategic Control ◽  
Corporate Strategies ◽  
Gathering Data

This research targeted at determining type and nature of innovation associated to the curbing strategies of the business model at Casa Valduga, a traditional Brazilian wine producer that has stimulating that house to exceed in product quality, expanding its domestic and international market. The research was designed to explore, qualitatively, the phenomenon gathering data through interviews, formal documentation checking and observation. One conclude that the adopted business model originates basically from the company’s corporate strategies, to appropriate resources, capacities and competences, than from a common competitive intended strategy. Corporate strategy is based on fine tuning of the company’s resources with market segment interest. Corporate strategy help adjust capacity to generate superior quality products with the strategic control of value attributes, linked to the image and trademark of the company.

scholarly journals Data Mining Algorithms on Prediction of Cardiovascular Diseases

2019 ◽  
Vol 8 (3) ◽  
pp. 4846-4853
Keyword(s):  
Data Mining ◽  
Unstructured Data ◽  
Healthcare Sector ◽  
Market Segment ◽  
Data Generation ◽  
Data Mining Algorithms ◽  
Wide Range ◽  
Enormous Amount ◽  
Mining Algorithms

In the age of data generation known as Big Data, where data is produced in enormous amount, managing it has become a big challenge and along with this drawing information from the gathered data is equally important and challenging. Inferring relationships and predicting patterns from theses structured and unstructured data is now an area of research for researchers. And the data mining techniques have evolved as a tool for generating results and deducing conclusions. These mining algorithms find their applicability in almost every domain likewise understanding market segment, fraud detection, trend analysis, healthcare sector, education sector and many more. Looking at the wide range of applicability, in this paper, a brief overview of data mining algorithms is discussed. This discussion comprises of different data mining algorithms, their mathematical modelling, their evaluation methods, and their limitations. To support the fact a case study is conducted on a cardiovascular disease dataset and the measures of these mining techniques are compared.

Sign in / Sign up

Export Citation Format

Share Document