Search results

1 – 10 of over 15000
To view the access options for this content please click here
Article

There are three lateral dynamic attitudes, delineated by rolling, yawing, and sideslipping. It is possible to solve for the pressures on the rolling wing by quasi‐steady…

Abstract

There are three lateral dynamic attitudes, delineated by rolling, yawing, and sideslipping. It is possible to solve for the pressures on the rolling wing by quasi‐steady analysis. This approach is, however, inapplicable for the yawing or sideslipping wing, and it is with the latter two cases that this paper deals.

Details

Aircraft Engineering and Aerospace Technology, vol. 27 no. 4
Type: Research Article
ISSN: 0002-2667

To view the access options for this content please click here
Book part

Donald Mitchell

Historically Black colleges and universities (HBCUs) and Black Greek-lettered organizations (BGLOs) are institutions and organizations that provided African Americans with…

Abstract

Historically Black colleges and universities (HBCUs) and Black Greek-lettered organizations (BGLOs) are institutions and organizations that provided African Americans with options for unification and education during years of overt racial discrimination when education and socioeconomic comforts were limited for the vast majority of Americans of African descent, and they continue to serve as support structures for African Americans today. Nevertheless, in the “postracial” era of accountability, questions surrounding the relevance of these organizations have become common discourse. While these organizations face similar narratives, HBCU and BGLO research, successes, and issues have not yet been analyzed, synthesized, or even acknowledged in significant ways. Thus, the purpose of this chapter is to promote the need for research and scholarship that explores and highlights the parallels and intersections of today’s HBCUs and BGLOs through a review literature on BGLOs and educational outcomes.

Details

Black Colleges Across the Diaspora: Global Perspectives on Race and Stratification in Postsecondary Education
Type: Book
ISBN: 978-1-78635-522-5

Keywords

To view the access options for this content please click here
Article

Wenjun Zhu, Lysa Porth and Ken Seng Tan

The purpose of this paper is to propose an improved reinsurance pricing framework, which includes a crop yield forecasting model that integrates weather variables and crop…

Abstract

Purpose

The purpose of this paper is to propose an improved reinsurance pricing framework, which includes a crop yield forecasting model that integrates weather variables and crop production information from different geographically correlated regions using a new credibility estimator, and closed form reinsurance pricing formulas. A yield restatement approach to account for changing crop mix through time is also demonstrated.

Design/methodology/approach

The new crop yield forecasting model is empirically analyzed based on detailed farm-level data from Manitoba, Canada, covering 216 crop varieties from 19,238 farms from 1996 to 2011. As well, corresponding weather data from 30 stations, including daily temperature and precipitation, are considered. Algorithms that combine screening regression, cross-validation and principal component analysis are evaluated for the purpose of achieving efficient dimension reduction and model selection.

Findings

The results show that the new yield forecasting model provides significant improvements over the classical regression model, both in terms of in-sample and out-of-sample forecasting abilities.

Research limitations/implications

The empirical analysis is limited to data from the province of Manitoba, Canada, and other regions may show different results.

Practical implications

This research is useful from a risk management perspective for insurers and reinsurers, and the framework may also be used to develop improved weather risk management strategies to help manage adverse weather events.

Originality/value

This is the first paper to integrate a credibility estimator for crop yield forecasting, and develop a closed form reinsurance pricing formula.

Details

Agricultural Finance Review, vol. 79 no. 1
Type: Research Article
ISSN: 0002-1466

Keywords

To view the access options for this content please click here
Article

Da Liu, Wenbo Wang and Yinchuan Zhao

Weather affects consumer decision-making. However, academic research on how weather factors affect specific takeaway foods is limited. This paper aims to fill in the gap…

Abstract

Purpose

Weather affects consumer decision-making. However, academic research on how weather factors affect specific takeaway foods is limited. This paper aims to fill in the gap and therefore to contribute to online marketing and operation.

Design/methodology/approach

Web crawler techniques were first exploited to collect takeaway food ordering data from Meituan, the world’s largest GMV platform. Then statistics models and a time series regression model were selected to study the weather impact on online orders.

Findings

The findings highlight that certain weather factors, such as temperature, air quality and rainfall have clear effects on most category takeaway orders.

Originality/value

Quantitative analysis of weather impacts on the takeaway ordering business will help to guide the online service platforms for marketing promotion and the settled businesses to make reasonable arrangements for inventory and marketing tactics.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

To view the access options for this content please click here
Article

Jean-Louis Bertrand and Miia Parnaudeau

Retailers have long been aware that weather affects the sales of a myriad of products, but until now, most were not in a position to manage the risks weather presents…

Abstract

Purpose

Retailers have long been aware that weather affects the sales of a myriad of products, but until now, most were not in a position to manage the risks weather presents. Rising weather variability combined with advances in weather-index financial instruments have prompted new interest in investigating the relationship between sales and weather. The purpose of this paper is to explore the impact of changes in weather on UK retail sales, to estimate the contribution of weather to sales, and evaluate the maximum potential loss caused by adverse weather, for each season and retail sector.

Design/methodology/approach

The authors present a methodology to identify and quantify the extent to which a company is exposed to weather risks, in order to incorporate them into its risk management policy and take actions to mitigate these risks. For each season and each retail category, the authors provide a measure of the impact of weather on sales that can be used as a benchmark to analyse sales performance.

Findings

The authors propose a new risk assessment indicator to evaluate the potential losses caused by adverse weather (WeatherRisk). The authors show that intra-annual changes in weather significantly affect retail sales. The exposure of retail categories to weather are not the same depending on the season, and the response of individual retail categories to the same change in weather varies considerably. Although temperature is a predominant explanatory variable, the authors show that weather-sensitivity analysis should include precipitation, humidity rate and wind.

Research limitations/implications

One limitation of this study is that the authors individually compute WeatherRisk for each significant weather variable. Further research could explore new approaches to evaluate Total WeatherRisk, which take into account potential multicollinearity issues between weather variables.

Practical implications

The methodology allows retailers to measure the effects of weather on sales performance, evaluate the risks at stake, and protect sales and margins from weather risks, with newly available index-based financial instruments. Managers may now actively use weather as a differential advantage, and at the same time focus their efforts on improving resiliency to increasing climate variability.

Originality/value

In this paper, the authors produce a detailed analysis of the exposure of each retail sectors to unseasonal weather. This is the first time all retail sectors are analysed and ranked per season at a national level. The authors provide managers with actionable information to improve their understanding of how weather impact sales over each season, and to allow them to structure weather-index-based instruments with financial partners.

Details

International Journal of Retail & Distribution Management, vol. 45 no. 7/8
Type: Research Article
ISSN: 0959-0552

Keywords

To view the access options for this content please click here
Article

Nari Sivanandam Arunraj and Diane Ahrens

Weather is often referred as an uncontrollable factor, which influences customer’s buying decisions and causes the demand to move in any direction. Such a risk usually…

Abstract

Purpose

Weather is often referred as an uncontrollable factor, which influences customer’s buying decisions and causes the demand to move in any direction. Such a risk usually leads to loss to industries. However, only few research studies about weather and retail shopping are available in literature. The purpose of this paper is to develop a model and to analyze the relationship between weather and retail shopping behavior (i.e. store traffic and sales).

Design/methodology/approach

The data set for this research study is obtained from two food retail stores and a fashion retail store located in Lower Bavaria, Germany. All these three retail stores are in same geographical location. The weather data set was provided by a German weather service agency and is from a weather station nearer to the retail stores under study. The analysis for the study was drawn using multiple linear regression with autoregressive elements (MLR-AR). The estimated coefficients of weather variables using MLR-AR model represent corresponding weather impacts on the store traffic and the sales.

Findings

The snowfall has a significant effect on the store traffic and the sales in both food and fashion retail stores. In food retail store, the risk due to snowfall varies depending on the location of stores. There are also significant lagging effects of snowfall in the fashion retail store. However, the rainfall has a significant effect only on the store traffic in the food retail stores. In addition to these effects, the sales in the fashion retail store are highly affected by the temperature deviation.

Research limitations/implications

Limitations in availability of data for the weather variables and other demand influencing factors (e.g. promotion, tourism, online shopping, demography of customers, etc.) may reduce efficiency of the proposed MLR-AR model. In spite of these limitations, this study can be able to quantify the effects of weather variables on the store traffic and the sales.

Originality/value

This study contributes to the field of retail distribution by providing significant evidence of relationship between weather and retail business. Unlike previous studies, the proposed model tries to consider autocorrelation property, main and interaction effects between weather variables, temperature deviation and lagging effects of snowfall on the store traffic or the sales. The estimated weather impacts from this model can act as a reliable tool for retailers to explain the importance of different non-catastrophic weather events.

Details

International Journal of Retail & Distribution Management, vol. 44 no. 7
Type: Research Article
ISSN: 0959-0552

Keywords

To view the access options for this content please click here
Article

Charlotte M. Karam and David A. Ralston

A large and growing number of researchers set out to cross-culturally examine empirical relationships. The purpose of this paper is to provide researchers, who are new to…

Abstract

Purpose

A large and growing number of researchers set out to cross-culturally examine empirical relationships. The purpose of this paper is to provide researchers, who are new to multicountry investigations, a discussion of the issues that one needs to address in order to be properly prepared to begin the cross-cultural analyses of relationships.

Design/methodology/approach

Thus, the authors consider two uniquely different but integrally connected challenges to getting ready to conduct the relevant analyses for just such multicountry studies. The first challenge is to collect the data. The second challenge is to prepare (clean) the collected data for analysis. Accordingly, the authors divide this paper into two parts to discuss the steps involved in both for multicountry studies.

Findings

The authors highlight the fact that in the process of collecting, there are a number of key issues that should be kept in mind including building trust with new team members, leading the team, and determining sufficient contribution of team members for authorship. Subsequently, the authors draw the reader’s attention to the equally important, but often-overlooked, data cleaning process and the steps that constitute it. This is important because failing to take serious the quality of the data can lead to violations of assumptions and mis-estimations of parameters and effects.

Originality/value

This paper provides a useful guide to assist researchers who are engaged in data collection and cleaning efforts with multiple country data sets. The review of the literature indicated how truly important a guideline of this nature is, given the expanding nature of cross-cultural investigations.

Details

Cross Cultural & Strategic Management, vol. 23 no. 4
Type: Research Article
ISSN: 2059-5794

Keywords

To view the access options for this content please click here
Article

Van Cang Nguyen and Ngoc Tuan Chau

The purpose of this paper is to apply a more accurate competitive advantage construct to study the impact of total quality management on firms’ competitive advantage in…

Abstract

Purpose

The purpose of this paper is to apply a more accurate competitive advantage construct to study the impact of total quality management on firms’ competitive advantage in the context of the weakening of the competitive advantage of firms that are renowned for the excellent quality management. It also aims to find a better explanation for the source of competitive advantage through mediating constructs.

Design/methodology/approach

The authors use iterative methodology by reviewing, analyzing, synthesizing and refining the current state of the literature and propose a research framework which allows for overcoming the limitation encountered in previous empirical research.

Findings

The use of two second-order constructs including the incremental innovation performance and radical innovation performance which enable the researchers to have a better explanation about the mediating role of innovation performance.

Practical implications

This study is seeking to contribute to the practice of total quality management area of research. Specifically, this study applies two second-order measurement scales of innovation in use, actualize the use of the new measurement scale of competitive advantage and explain clearly the role of total quality management on competitive advantage in the current context.

Originality/value

This is one of the few papers investigating the impact of total quality management on competitive advantage, developing the conceptual model that examines the mediating role of innovation performance.

Details

Review of International Business and Strategy, vol. 27 no. 3
Type: Research Article
ISSN: 2059-6014

Keywords

To view the access options for this content please click here
Article

Mulong Wang, Min‐Ming Wen and Charles C. Yang

The paper aims to examine theoretically valuation of weather derivatives and their hedging roles in corporate risk management.

Abstract

Purpose

The paper aims to examine theoretically valuation of weather derivatives and their hedging roles in corporate risk management.

Design/methodology/approach

The paper introduces an extended financial market model in which the weather risk is included as an independent random process and examines the effectiveness of weather derivatives and traditional price forwards in a unified theoretical framework. It also provides a no‐arbitrage approach to price weather derivatives, which theoretically combines the actuarial and financial paradigms.

Findings

The results document that corporate leverage level is an essential factor determining the choice between price forwards and weather derivatives. In some cases; weather derivatives outperform price forwards, while in some other cases; a joint use of both instruments is optimal, depending on the firm's risky leverage level. Interestingly, the paper identifies the case when the leverage level is very high, the positive roles of both instruments diminish and the firm is unhedgeable.

Originality/value

The paper provides important insights to investors and hedgers and extends the literature on corporate risk management.

Details

The Journal of Risk Finance, vol. 11 no. 4
Type: Research Article
ISSN: 1526-5943

Keywords

Content available
Article

Sebastian Martin, Daniela Wetzelhütter and Birgit Grüb

The purpose of this paper is to investigate the influence of external factors on the Facebook dialogue. As both weather and point in time substantially. As both weather

Abstract

Purpose

The purpose of this paper is to investigate the influence of external factors on the Facebook dialogue. As both weather and point in time substantially. As both weather and point in time substantially influence people’s lives, it can be assumed that both factors may also affect communication on Facebook. To the best of the authors’ knowledge, this is the first study focusing on the impact of the external factors “weather” and “point in time” on a public utility’s Facebook communication.

Design/methodology/approach

The potential influence is explored through the case study of an Austrian public utility. The study focuses on 321 postings, published via the company’s official Facebook account between August 2016 and February 2018.

Findings

The empirical results confirm the influence of “weather” and “point in time” indicators on the stakeholder dialogue. The findings highlight how the relevant items affect the posting behavior of a utility, as well as stakeholders’ reactions, comments and shares.

Originality/value

By introducing both external factors to the social media literature, this paper broadens the understanding of Facebook communications beyond the sender and receiver of digital information. In this way, the research contributes to a more holistic view of Facebook dialogue. It provides practical advice on how social media managers of public utilities may use weather forecasts and “point in time” considerations to more strategically foster stakeholder dialogue in social media.

Details

International Journal of Energy Sector Management, vol. 15 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

1 – 10 of over 15000