1,722,537 research outputs found

    New theories and politics for working class organizing in the gig and precarious world of work

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    The emergence of labour conflicts across different sectors of the gig and precarious economy is challenging established industrial relations (IR) frameworks and some of its political implications. Despite its analytical merits, Kelly’s union-centred mobilization theory appears insufficient to explain these mobilizations, characterized by informal networks and self-organization. Evidence from the sectors of logistics and cloudwork, where processes of digitalization have been rampant in recent years, shows that there is a need to build a more processual account of worker mobilizations in which non-institutional factors play a major role. Drawing on the European social movement tradition, in this article the authors consider two factors, supportive communities and political activism traditions, as key to understanding critical cases of mobilization in the gig economy and renewing IR theories of collective action through a class-based approach

    Factors Influencing Choice of Accommodation during Covid-19: A Mixed-methods Study of Italian Consumers

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    Covid-19 is severely impacting hospitality establishments, with consequences on consumers’ decision-making. Yet, little is known about current factors influencing travelers’ accommoda-tion choice. This paper adopts a sequential mixed-methods design to examine the importance attributed to additional measures implemented in tourism accommodation during a pandemic, by interviewing sixteen potential travelers, and then profiling a convenience sample of 4,386 consumers accordingly. Findings suggest that accommodation key factors are sanitization and PPE use, physical distancing in restaurant service, room service delivery, reception automation, and social and environmental engagement. Consumers attribute different importance to accommodation services in three configurations: Sanitization and Physically Distancing Seekers, All-round Concerned, and Sustainability Supporters. Profiling of the seg-ments revealed numerous distinctive characteristics

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Profiling airport travellers based on their perceptions, satisfaction and intention to recommend food and beverage services

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    Consuming Food and Beverage is one of the most frequent non-aeronautical activities that passengers enjoy at airports and that significantly contributes to airport profitability. Despite this, there is still limited research aimed at analysing passengers' consumption behaviour of F&B. With the aim to contribute to this somewhat under investigated research area, this study applies a factor-cluster analysis on a sample of 1,139 airport travellers. Results from factor analysis reveal four underlying dimensions of F&B perceptions (i.e. atmospherics, staff quality, value of money, product quality) and one dimension related to satisfaction and intention to recommend airport-based F&B services (i.e. "satisfaction and intention to recommend"). Cluster analysis applied to the scores of the five factors reveal that three clusters exist (i.e. "enthusiastics", "neutrals" and "price sensitives"). Chi-squared analysis tests show that significant differences exist based on socio-demographics (i.e. age, education level, employment status), travel-related variables (i.e. frequency of travelling) and flight-related variables (i.e. flying and check-in modality). Contributions to the theory, managerial implications and limitations to the study are discussed, and suggestions for further research are made
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