Zoekresultaten

Turnover among young adults in the hospitality industry

Purpose As a step toward more firmly establishing factors to promote retention among younger employees in the hospitality industry, this study aims to focuses on fun in the workplace (fun activities, manager support for fun and coworker socializing) and training climate (organizational support, manager support and job support) as potential antecedents of turnover in a European context. Design/methodology/approach Logistic regression was used to analyze the impact of fun and training climate on turnover with a sample of 902 employees from Belgium, Germany and The Netherlands. Data on fun and training climate were obtained through surveys, which were paired with turnover data from organizational records. Findings With respect to fun in the workplace, group-level manager support for fun and coworker socializing were significantly related to turnover, but not fun activities. With respect to training climate, individual-level job support was significantly related to turnover, but not organizational support and manager support. Research limitations/implications As the data were obtained from employees from one organization, further research would be valuable with additional samples to substantiate the generalizability of the results. Practical implications Given the challenge of turnover, organizations should foster informal aspects of fun in the workplace and learning opportunities to promote retention. Originality/value The study examined the fun–turnover relationship in a context outside of the USA where previous fun–turnover research has been conducted, and it examined fun relative to training climate, which has not been studied heretofore. This study also investigated group- and individual-level effects of both fun and training climate on turnover.

Current issues in tourism: mitigating climate change in sustainable tourism research.

This paper adopts a problematising review approach to examine the extent of mitigating climate change research in the sustainable tourism literature. As climate change has developed into an existential global environmental crisis and while tourism's emissions are still increasing, one would expect it to be at the heart of sustainable tourism research. However, from a corpus of 2573 journal articles featuring ‘sustainable tourism’ in their title, abstract, or keywords, only 6.5% covered climate change mitigation. Our critical content analysis of 35 of the most influential papers found that the current methods, scope and traditions of tourism research hamper effective and in-depth research into climate change. Transport, the greatest contributor to tourism's emissions, was mostly overlooked, and weak definitions of sustainability were common. Tight system boundaries, lack of common definitions and incomplete data within tourism studies appear to hamper assessing ways to mitigate tourism's contribution to climate change.

Ten new insights in climate science 2022

We summarize what we assess as the past year's most important findings within climate change research: limits to adaptation, vulnerability hotspots, new threats coming from the climate–health nexus, climate (im)mobility and security, sustainable practices for land use and finance, losses and damages, inclusive societal climate decisions and ways to overcome structural barriers to accelerate mitigation and limit global warming to below 2°C.

Networked Content Analysis

Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.

Networked Content Analysis

Climate change is one of the key societal challenges of our times, and its debate takes place across scientific disciplines and into the public realm, traversing platforms, sources, and fields of study. The analysis of such mediated debates has a strong tradition, which started in communication science and has since then been applied across a wide range of academic disciplines.So-called ‘content analysis’ provides a means to study (mass) media content in many media shapes and formats to retrieve signs of the zeitgeist, such as cultural phenomena, representation of certain groups, and the resonance of political viewpoints. In the era of big data and digital culture, in which websites and social media platforms produce massive amounts of content and network this through hyperlinks and social media buttons, content analysis needs to become adaptive to the many ways in which digital platforms and engines handle content.This book introduces Networked Content Analysis as a digital research approach, which offers ways forward for students and researchers who want to work with digital methods and tools to study online content. Besides providing a thorough theoretical framework, the book demonstrates new tools and methods for research through case studies that study the climate change debate with search engines, Twitter, and the encyclopedia project of Wikipedia.

Evaluation of KLM’s Climate Plan.