Multimethod forecasts for tourism analysis

Calantone, Roger J.; Benedetto, Anthony Di; Bojanic, David C.

doi:10.1016/0160-7383(88)90029-1

Cited by 22 publications

(10 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The importance of the tourism destination image is widely accepted in scientific research because of its influence on individual subjective perceptions, and thus on the consequent destination choice (Gallarza et al, 2002). As Kotler et al (1993) suggest, tourism destinations trying to be competitive should be managed from a strategic perspective, using a brand image in the positioning process (Calantone et al, 1988). In this context, according to Beerli (1998), the definition of a strong, coherent, differentiated and recognizable image is a relevant objective because it creates a favourable opinion of the particular destination.…”

mentioning

confidence: 99%

First-Time and Repeat Visitors to Cape Verde: The Overall Image

Correia

Oliveira

Butler³

2008

Tourism Economics

View full text Add to dashboard Cite

This paper analyses the overall tourism image of Cape Verde by applying a categorical regression estimation. In the empirical test, a random sample of 120 Portuguese tourists travelling to Cape Verde during the carnival holidays was used. A significant positive relationship was found between a set of emotional and cognitive attributes and tourism image. The study analyses tourists with different experiences (first-time visitors and repeat visitors) in terms of image perception. The findings demonstrate that first-time and repeat visitors perceive the image of the archipelago differently. These differences should be considered as a determinant when creating a competitive brand image for Cape Verde.

show abstract

mentioning

confidence: 99%

First-Time and Repeat Visitors to Cape Verde: The Overall Image

Correia

Oliveira

Butler³

2008

Tourism Economics

View full text Add to dashboard Cite

show abstract

“…Thus this neural network uses the predetermined learning algorithms. One of the neural network methods is RBF model (Radial Basis Function) that compared to the other methods has a higher performance speed and also has the classification technique compared to the traditional statistical model [6,9].…”

Section: Definition Of Neural Networkmentioning

confidence: 99%

“…Y=Rad base (n) = e -n2 (6) The algorithm of medical expert system design is done based on the block diagram of below figure…”

Section: In the Initial Design Rbf Includes Three Layers As Shown Inmentioning

confidence: 99%

“…Instead of adopting a micro approach to understand the specific effects of a few factors, we use a macro approach that examines a broad variety of factors in an effort to capture the complexities of the product innovation development. This macro approach is warranted because we are trying to subsume the intricacies of the process into our model to improve the accuracy of its predictions (Calantone, di Benedetto, and Bojanic 1988) [6]. Furthermore, all the measures were well-validated and accepted measures in the new product literature (see Song and Parry 1997 [7]).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

System Design of a Computer-Based Clinical Decision Support System Management by Using Radial Basis Function Approach

Darvish¹

2013

IJIIS

View full text Add to dashboard Cite

Effective corporate governance mechanisms and strategies are commonly referred to as the area of management that deals with getting the best performance from employees within the organization at hand. Whilst the activities involved in the management of people for their optimal performance have been carried out for generations, it is only relatively recently that attempts have been made to identify, describe and refine the practices of effective corporate governance mechanisms and strategies. The present paper introduces and outlines the framework of modern Optimal Human Resource Management of hospital with using Neural Network (NN) and its crucial connectivity to Optimal Performance of people within the organization at hand and what the organization needs to do in order to achieve such well sought after connectivity. The NN is described in the present paper identifying its basic structures, unique characteristics, advantages and. Hospital as the most well known organization provides this type of service that plays an important role in maintaining the health of patients. Improving the quality of health care and reducing medical errors seems to be essential that available strategies should be used to achieve this goal. One of the strategies is to design System that in the present study, the modeling of this system is based on decision support systems using RBF.

show abstract

“…This macro approach is warranted because we are trying to subsume the intricacies of the process into our model to improve the accuracy of its predictions (Calantone, di Benedetto, and Bojanic 1988). It is crucial to select factors that fully capture the domain of interest-success factors in the NPD process.…”

Section: Network Inputsmentioning

confidence: 99%

Artificial Neural Network Decision Support Systems for New Product Development Project Selection

Thieme

Song

Calantone

2000

Journal of Marketing Research

Self Cite

View full text Add to dashboard Cite

The authors are indebted to the three anonymous JMR reviewers for several suggestions.R. JEFFREY THIEME, MICHAEL SONG, and ROGER J. CALANTONE* The authors extend and develop an artificial neural network decision support system and demonstrate how it can guide managers when they make complex new product development decisions. The authors use data from 612 projects to compare this new method with traditional methods for predicting various success outcomes for new product projects.

show abstract

Multimethod forecasts for tourism analysis

Cited by 22 publications

References 27 publications

First-Time and Repeat Visitors to Cape Verde: The Overall Image

First-Time and Repeat Visitors to Cape Verde: The Overall Image

System Design of a Computer-Based Clinical Decision Support System Management by Using Radial Basis Function Approach

Artificial Neural Network Decision Support Systems for New Product Development Project Selection

Contact Info

Product

Resources

About