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Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of “information overload”. In order to do so, a concept analysis using Rodgers' approach was performed.

A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for “information overload”, which is “cognitive overload” was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA).

The themes identified from the authors’ concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload.

Through the authors’ concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

Data from the Northern Ireland (NI) Health Survey 2014/15 (n = 2,231) were statistically analysed to examine the prevalence of food insecurity according to both indicators. Pearson's X² test for association and logistic regressions were used to examine associations between food security status and predictor variables.

Household food insecurity has been identified as a significant societal issue in both developed and developing nations, but there exists no universal indicator to approximate its prevalence. In NI, two indicators (United States Household Food Security Survey Module [HFSSM] and the European Union Statistics on Income and Living Conditions [EU-SILC] food deprivation questions) have been used. This study examines how both indicators differ in their classification of food insecurity prevalence in a population sample and also examines the relationship between various demographic and household factors and food security status.

According to the EU-SILC food deprivation questions, 8.3% (n = 185) were indicated to be food insecure, while according to the HFSSM, 6.5% (n = 146) were indicated to be food insecure. The HFSSM and EU-SILC regression models differed in the underlying variables they identified as significant predictors of food insecurity. Significant variables common to both modules were tenure, employment status, health status, anxiety/depression and receipt of benefits.

Findings can inform policy action with regards to targeting the key contributors and can inform policy decisions in NI and elsewhere with regards to choosing the most appropriate food insecurity indicator.

This study reviews research that examines economic and behavioural consequences of CSR reporting regulations. Specifically, the authors evaluate the impact of CSR reporting regulations on (1) reporting quality, (2) capital-markets and (3) firm behaviour.

The authors first describe the stated objectives and enforcement level of CSR reporting regulations around the world. Second, the authors review over 130 archival studies in accounting, finance, economics, law and management that examine consequences of the regulations.

The stated objectives and enforcement of CSR reporting regulations vary considerably across countries. Empirical research finds no significant changes in reporting quality and generally concludes that CSR reporting continues to be ceremonial rather than substantive after the regulations – consistent with corporate legitimation and “greenwashing” views. In contrast, growing evidence shows both positive and negative capital-market and real effects of the regulations. Overall, the findings from this review indicate that, on balance, there remains a significant number of questions on the net effects of CSR reporting regulations.

The authors offer a comprehensive review of the literature examining consequences of CSR reporting regulations. The authors identify apparent tensions in studies assessing different outcomes after the regulations: between symbolic reporting and positive capital-market outcomes; between profitability and CSR; and between CSR and the welfare of non-shareholder groups. Additionally, we highlight differences in the scope and stated objectives of CSR regulations across countries, with the regulations often reflecting socio-economic development and national interests of implementing countries. Collectively, our review indicates that institutional details are crucial when considering the design or consequences of CSR reporting regulations and/or standards.

The increased practitioner and academic interest in negative brand phenomena highlight the need for the development of practical scales to be used for empirical investigations. Therefore, this paper aims to draw on existing conceptualisations to provide a theoretically grounded yet practically oriented scale for examining brand avoidance and its protocols.

The study uses a sample of 575 consumers from two developing countries to create a parsimonious brand avoidance scale. Partial least squares structural equation modelling is used to analyse the data through a systematic formative measurement approach

This paper finds brand avoidance to be a multidimensional, second-order construct with five first-order dimensions: moral avoidance, identity avoidance, deficit–value avoidance, experiential avoidance and advertising-related avoidance. The paper further validates this scale by testing with non-purchase intention and identifies its positive relationship with brand avoidance.

This study fulfils the calls in the literature to provide a measurable scale for studying negative brand phenomena in consumer–brand relationship research.

Volume 18 of Advances in Industrial and Labor Relations contains seven chapters that analyze key aspects of employment relationships, ranging from strategic choice and first contract arbitration to worker participation, employee well being and work-life conflict to union engagement in regional economic development and international labor standards enforcement. Preliminary versions of several of these chapters were presented at Advances in Industrial Relations (AILR)/Labor and Employment Relations Association (LERA) “Best Papers” sessions held at the 2009, 2010, and 2011 meetings of the LERA.