Search results

Whereas the Minister of Labour (hereafter in this Order referred to as “the Minister”) has received from the Wholesale Mantle and Costume Wages Council (Great Britain) the wages regulation proposals set out in Schedules 1 and 2 hereof;

Whereas the Minister of Labour (hereafter in this Order referred to as “the Minister”) has received from the Wholesale Mantle and Costume Wages Council (Great Britain) the wages regulation proposals set out in the Schedule hereto;

Whereas the Minister of Labour (hereafter in this Order referred to as “the Minister”) has received from the Milk Distributive Wages Council (England and Wales) the wages regulation proposals set out in the Schedule hereto;

Whereas the Minister of Labour (hereafter in this Order referred to as “the Minister”) has received from the Milk Distributive Wages Council (England and Wales) the wages regulation proposals set out in the Schedule hereto;

This chapter reviews the institutional seasonality phenomenon in Asian outbound tourism. Eight key Asian countries were selected for investigation. Secondary data and archives from official tourism authorities and government reports are used as the information sources for the holiday systems and the celebrations for the cultural festivals. Four categories of holidays shaping the outbound seasonality patterns (universal holidays based on Gregorian calendar, Chinese culture-based holidays, religious festivals, and school holidays) are identified across the eight countries. Particular observances for those key cultural and religious holidays are highlighted. The opportunities and challenges for destination managers and tourism businesses to capitalize on and support peak outbound Asian seasonality are discussed.

The annual holiday party is a long-standing tradition in many organizations, yet academic research has largely left the holiday party unexamined. The present study sheds light on this significant social event by exploring what factors help differentiate successful events from less successful ones.

First, the authors developed a taxonomy of characteristics of good holiday parties using a critical incident technique in which stories of holiday party experiences were analyzed following a mixed-method approach. Second, the authors quantitatively examined the relationships between these characteristics and three outcomes, including perceived organizational support, positive interpersonal interactions, and experienced fun.

The critical incident analysis revealed 11 key characteristics that distinguish good from bad holiday parties. Primary findings from the quantitative study are that games and activities, music, good food, and notable positive leader behavior are key characteristics of more successful events.

As the data were obtained using a traditional survey methodology, further research would be valuable that adopts an experience sampling methodology to capture employee experiences, perceptions, and feelings about holiday parties in real-time before, during, and after an event has occurred.

From an event planning standpoint, this research provides a framework for designing holiday parties and provides evidence as to which features matter most. From a strategic leadership perspective, this research signals that different features of holiday parties can influence different outcomes.

Beyond merely identifying important characteristics, this research provides a framework for further research on holiday parties and identifies theories that can be used in future research to explore the mechanisms that influence how and under what conditions holiday parties impact employees’ experiences at work.

With connections to history, culture, and religion, many holidays have potential for inclusion in early grade social studies curriculum. However, opportunities for meaningful content are frequently passed over in favor of holiday crafts that can trivialize content and promote stereotyping, cultural appropriation, and false information. The purpose of this study was to explore teachers' perspectives about holidays in the curriculum.

Through questionnaires and interviews, 20 teachers identified which holidays they address and explained why and how they attend to these special days.

Most often, participants used holidays to teach history, impart values, and make connections to children's lives. Findings suggest that although holidays may provide avenues for transformative social studies, few early grade teachers may recognize this potential.

This study adds to elementary social studies research by promoting scholarly consideration of meaningful holiday lessons as avenues for robust social studies instruction.

This paper aims to propose a medium-term forecast model for the daily passenger volume of High Speed Railway (HSR) systems to predict the daily the Origin-Destination (OD) daily volume for multiple consecutive days (e.g. 120 days).

By analyzing the characteristics of the historical data on daily passenger volume of HSR systems, the date and holiday labels were designed with determined value ranges. In accordance to the autoregressive characteristics of the daily passenger volume of HSR, the Double Layer Parallel Wavelet Neural Network (DLP-WNN) model suitable for the medium-term (about 120 d) forecast of the daily passenger volume of HSR was established. The DLP-WNN model obtains the daily forecast result by weighed summation of the daily output values of the two subnets. Subnet 1 reflects the overall trend of daily passenger volumes in the recent period, and subnet 2 the daily fluctuation of the daily passenger volume to ensure the accuracy of medium-term forecast.

According to the example application, in which the DLP-WNN model was used for the medium-term forecast of the daily passenger volumes for 120 days for typical O-D pairs at 4 different distances, the average absolute percentage error is 7%-12%, obviously lower than the results measured by the Back Propagation (BP) neural network, the ELM (extreme learning machine), the ELMAN neural network, the GRNN (generalized regression neural network) and the VMD-GA-BP. The DLP-WNN model was verified to be suitable for the medium-term forecast of the daily passenger volume of HSR.

This study proposed a Double Layer Parallel structure forecast model for medium-term daily passenger volume (about 120 days) of HSR systems by using the date and holiday labels and Wavelet Neural Network. The predict results are important input data for supporting the line planning, scheduling and other decisions in operation and management in HSR systems.

The literature on the union wage premium is among the most extensive in labour economics but unions’ effects on other aspects of the wage-effort bargain have received much less attention. The purpose of this paper is to contribute to the literature through a study of the union premium in paid holiday entitlements.

The authors examine the size of the union premium on paid holidays over time, with a particular focus on how the premium was affected by the introduction of a statutory right to paid holidays. The data come from nationally representative surveys of employees and workplaces.

The authors find that the union premium on paid holidays is substantially larger than the union premium on wages. However, the premium fell with the introduction of a statutory minimum entitlement to paid leave.

This is the first study to examine explicitly the interaction between union representation and the law in this setting. The findings indicate the difficulties that unions have faced in protecting the most vulnerable employees in the UK labour market. The authors argue that the supplanting of voluntary joint regulation with statutory regulation is symptomatic of a wider decrease in the regulatory role of unions in the UK.

This article aims to identify the holiday intentions of Portuguese residents, highlighting the importance and evolution of the internal market and the constraints that lead to a significant decrease of those taking holidays in recent years.

The article is based on official tourism statistics and on an ongoing research by Instituto de Planeamento e Desenvolvimento do Turismo (IPDT) on “the holiday intentions of Portuguese residents regarding summer holidays”.

The article finds that tourism in Portugal continues to grow and, in 2013, witnessed a record number of foreign tourists. Despite this success, domestic tourism showed a decrease, explained by the context of economic crisis that affects the country since 2009. However, other reasons such as professional commitments, and the avoidance of peak season for summer holidays, are also referred as reasons for not taking summer holidays.

Results allow for a clear understanding of Portuguese residents’ profile regarding holiday intentions for summer holidays. The information presented and analyzed may be seen as very relevant in assisting decision makers in their strategy making process.

This article seeks to illustrate the holiday intentions of the Portuguese residentes in a comparative study carried out over a three-year period. The results allow drawing conclusions about the tourism behavior of residents in Portugal during a severe economic crisis.