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Article
Publication date: 1 April 2004

Egon Smeral

The availability of an adequate pool of suitable labour is a key location factor for the labour‐intensive hotel and restaurant business. Yet, in spite of high unemployment…

Abstract

The availability of an adequate pool of suitable labour is a key location factor for the labour‐intensive hotel and restaurant business. Yet, in spite of high unemployment (unemployment rate: 17,3%) and schemes to import foreign seasonal workers, the sector still encounters considerable difficulties in filling job vacancies. Of the many approaches towards elucidating the mystery of high levels of unemployment concurrent with a perceived scarcity of workers, key contributions are the high seasonal fluctuations in demand and the mismatch theory. The phenomenon of seasonal unemployment may be understood as a special aspect of demand scarcity. The seasonal dependence of tourism demand generates variations which in turn cause personnel to be fired at a grand scale at the end of a season. The mismatch theory goes a long way towards explaining a large part of the problems encountered in filling job openings while sectoral unemployment remains high. Key elements of the structural imbalance are qualifications and age, availability in terms of geography and time, and earnings expectations (including working conditions and career options). Further facts are also that the inflow of foreign workers keeps wages and working conditions down and drives austrian workers into unemployment or in other sectors. Overall, it appears that the future supply of an adequate number of qualified labour is a growing problem, because the need for operations to position themselves in the quality segment will raise the labour and qualification threshold.

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Tourism Review, vol. 59 no. 4
Type: Research Article
ISSN: 1660-5373

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Article
Publication date: 11 April 2016

Hugo Entradas Silva and Fernando M.A. Henriques

The purpose of this paper is to verify the applicability and efficiency of two statistical methods to obtain sustainable targets of temperature and relative humidity in…

Abstract

Purpose

The purpose of this paper is to verify the applicability and efficiency of two statistical methods to obtain sustainable targets of temperature and relative humidity in historic buildings located in temperate climates.

Design/methodology/approach

The data recorded along one year in a non-heated historic building in Lisbon (Portugal) was analysed with the two methodologies, EN 15757 and FCT-UNL. To evaluate their adequacy it was calculated the performance index for each target and it was verified the mechanical and biological degradation risks.

Findings

While the use of the two approaches is suitable for temperate climates, there is a higher efficiency of the FCT-UNL methodology, allowing a better response for the three parameters in evaluation.

Research limitations/implications

Despite the better results obtained, the FCT-UNL methodology was only tested for one city; therefore the application to other situations may be required to obtain more robust conclusions.

Practical implications

The effectiveness of the FCT-UNL methodology to obtain sustainable climate targets can lead to important energy conservation in historic buildings and to contribute for the change of old approaches in the preventive conservation area.

Originality/value

This paper provides a comparison between two recent methods. The results can lead to some advances in the science of preventive conservation, interesting to conservators and building physic scientists.

Details

Structural Survey, vol. 34 no. 1
Type: Research Article
ISSN: 0263-080X

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Book part
Publication date: 23 July 2007

Travis D. Nesmith

Abstract

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Functional Structure Inference
Type: Book
ISBN: 978-0-44453-061-5

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Article
Publication date: 28 October 2013

Mohammad Ahmadi, Parthasarati Dileepan and Sarla R. Murgai

The purpose of this study is to develop a mathematical model that can be used to forecast the demand for the inter-library loan (ILL) requests. Accurate estimates of…

Abstract

Purpose

The purpose of this study is to develop a mathematical model that can be used to forecast the demand for the inter-library loan (ILL) requests. Accurate estimates of demand are valuable for assisting researchers in their research endeavors.

Design/methodology/approach

Data were gathered at the University of Tennessee at Chattanooga for a period of 48 months from July 2008 to the end of June of 2012. Using these data, a centered moving average with seasonal variation model was formulated for forecasting the demand for the inter-library loan. These forecasts were then compared with the actual values to determine the accuracy of prediction.

Findings

Centered moving average with seasonal variation model proved to be a good predictor of the demand for the inter-library loans. The model proved to be a very good forecasting tool as the actual values seem to follow the forecasts very closely.

Originality/value

It is very important to be able to forecast the demand for the inter-library loans. Researchers constantly demand material for their research and librarians try to fulfill their demands. If the demand can be forecast with some degree of accuracy, the process can be expedited.

Details

The Bottom Line, vol. 26 no. 3
Type: Research Article
ISSN: 0888-045X

Keywords

Content available
Article
Publication date: 17 July 2019

Ahmet Selcuk Basarici and Tanzer Satir

The purpose of this study is to reveal the magnitude of empty container movements (ECM) arising from cargo seasonality by means of long-term datasets of Turkish terminals…

Abstract

Purpose

The purpose of this study is to reveal the magnitude of empty container movements (ECM) arising from cargo seasonality by means of long-term datasets of Turkish terminals. Trade imbalance is one of the well-known major reasons of ECM. Cargo seasonality apart from some other operational drivers and market effect, i.e. commercial decisions of the ship operators, is the major operational driver in Turkish terminals effecting ECM. Furthermore, this study highlights the significance of market effect, leading to take measures for more effective empty container operations in terms of decision makers leading the ship operators.

Design/methodology/approach

Time series analysis of full container datasets was performed through X-13ARIMA-SEATS methodology, implementing seasonal adjustment.

Findings

The results indicate that 17 of 112 time series in hand, based on a terminal/hinterland, container type and “in and out” foreign trade, exhibit cargo seasonality. Roughly, the amount of ECM originating from cargo seasonality in Turkish terminals represents 10 per cent of total ECM except trade imbalance in those terminals where seasonality is present. This reveals that ECM arising from market effect should not be underestimated.

Research limitations/implications

Reefer container traffic could not be sorted from the datasets.

Originality/value

This paper focuses on one of the major reasons of ECM, cargo seasonality. It brings a novel point of view and interpretations which were not suggested previously about ECM, motivating to overcome inefficiency in container operations.

Details

Maritime Business Review, vol. 4 no. 3
Type: Research Article
ISSN: 2397-3757

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Article
Publication date: 27 March 2020

Luyao Wang, Jianying Feng, Xiaojie Sui, Xiaoquan Chu and Weisong Mu

The purpose of this paper is to provide reference for researchers by reviewing the research advances and trend of agricultural product price forecasting methods in recent years.

Abstract

Purpose

The purpose of this paper is to provide reference for researchers by reviewing the research advances and trend of agricultural product price forecasting methods in recent years.

Design/methodology/approach

This paper reviews the main research methods and their application of forecasting of agricultural product prices, summarizes the application examples of common forecasting methods, and prospects the future research directions.

Findings

1) It is the trend to use hybrid models to predict agricultural products prices in the future research; 2) the application of the prediction model based on price influencing factors should be further expanded in the future research; 3) the performance of the model should be evaluated based on DS rather than just error-based metrics in the future research; 4) seasonal adjustment models can be applied to the difficult seasonal forecasting tasks in the agriculture product prices in the future research; 5) hybrid optimization algorithm can be used to improve the prediction performance of the model in the future research.

Originality/value

The methods from this paper can provide reference for researchers, and the research trends proposed at the end of this paper can provide solutions or new research directions for relevant researchers.

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Article
Publication date: 1 October 2001

Vinod Daniel

Investigates conservation problems facing cultural collections in libraries and museums. Provides recommended levels of environmental control and a suggested risk…

Abstract

Investigates conservation problems facing cultural collections in libraries and museums. Provides recommended levels of environmental control and a suggested risk assessment of collections. Concludes that conserving items may not be possible for small museums.

Details

Library Review, vol. 50 no. 7/8
Type: Research Article
ISSN: 0024-2535

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Article
Publication date: 1 January 1984

TURAN GÖNEN

This paper discusses the use of stochastic models based on the Box‐Jenkins modeling methodology to determine the future electrical loads. The developed forecasting models…

Abstract

This paper discusses the use of stochastic models based on the Box‐Jenkins modeling methodology to determine the future electrical loads. The developed forecasting models have been applied successfully by using the electrical load data provided by the Oklahoma Gas and Electric Company.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 3 no. 1
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 4 January 2016

C. N. Bezuidenhout

Not many researchers have attempted to numerically quantify a supply chain’s degree of leanness or agility. Although focusing predominantly on food, the purpose of this…

Abstract

Purpose

Not many researchers have attempted to numerically quantify a supply chain’s degree of leanness or agility. Although focusing predominantly on food, the purpose of this paper is to propose a simple and universal methodology to quantify the degrees of leanness and agility at any point within any supply chain.

Design/methodology/approach

Daily processing capacities of stochastic model runs and real supply chain data were projected onto a standardized Euclidean surface. Indexes that calculate, amongst others, the agility, leanness, baseline production and ceiling conditions were derived.

Findings

The indexes were often well correlated across the various supply chains. Leanness correlates negatively with agility, as can be expected, however, these attributes do not stand opposed to each other. Most supply chains seem to exhibit both lean and agile attributes simultaneously. Sugar, various types of tomatoes, avocado and onion supply chains are discussed and compared. Although a large amount of data were analysed, there exists an opportunity to widen this study significantly.

Originality/value

This paper presents a unique and simple approach to quantify the degree of supply chain leanness and agility. Although these terms are often used, only a few authors have made attempts to quantify these attributes and in most cases the approaches are relatively cumbersome. The relatively simple indexes create an opportunity for supply chain management to measure, evaluate and communicate their strategies along the supply chain and between different chains.

Details

British Food Journal, vol. 118 no. 1
Type: Research Article
ISSN: 0007-070X

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Abstract

Details

Public Transport in Developing Countries
Type: Book
ISBN: 978-0-08-045681-2

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