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Voice and retaliation: classifying types of victimization for whistleblowing as voice
Abstract Whistleblowing is often considered an internal act of raising a concern (Vandekerckhove and Phillips, 2019, Micelli and Near, 1985). There is little recognition of this within the voice literature. The fields of human resource management, employee relations and organizational behavior exclude whistleblowing for various reasons. However, it is in these very streams of voice that individuals will raise concerns in the workplace. Literature has sought to highlight silo thinking (Mowbray et al., 2015) while Kenny et al. (2020) develop this with a focus on whistleblowing. This chapter draws heavily on Phillips (2022) and reflects on how seeing whistleblowing as voice allows a fresh approach to addressing victimization. Much has been said about how whistleblowing research can recognize retaliation but often identifies the severity by the number of types of retaliation (Smith, 2014). Adopting Cortina and Magely’s (2003) Work-based and Social-based retaliation model greater insight can be had into how stages of voice can lead to retaliation but more importantly how interventions can be made by different whistleblowing actors to prevent such retaliation
Addressing consumer needs: effects of firms remediation strategies on satisfaction and brand usage intent in AI-powered voice assistant service failures
With the accelerating integration of AI-powered voice assistants into daily consumer interactions, effectively managing AI-driven service failures has become paramount for maintaining consumer trust, satisfaction, and sustained brand engagement. Despite extensive research on traditional service recovery mechanisms, existing frameworks fall short in addressing the distinct and complex nature of AI-driven failures. Motivated by the lack of systematic frameworks tailored explicitly to AI voice assistant contexts, this study introduces an integrated analytical framework grounded in Consistency Theory and Situational Crisis Communication Theory (SCCT) to address customer needs through strategic service failure remediation. Utilizing a mixed-methods research design and analyzing 5,894 consumer reviews, the study establishes a consistency relationship between service failures and remediation strategies. It delineates three innovative approaches to service recovery and examines their impact on consumer satisfaction and brand usage intent. The empirical findings reveal significant positive effects of strategically aligned recovery efforts on consumer satisfaction and brand usage intentions. By addressing the specialized nature of AI-driven failures, this research not only advances theoretical knowledge in AI service management but also provides actionable strategic guidance for businesses seeking to optimize consumer experiences and foster enduring customer relationships
Identify optimal pedestrian flow forecasting methods in Great Britain retail areas: a comparative study of time series forecasting on a footfall dataset
The UK retail landscape has undergone significant changes over the past decade, driven by factors such as the rise of online shopping, economic downturns, and, more recently, the COVID-19 pandemic. Accurately measuring pedestrian flows in retail areas with high spatial and temporal resolution is essential for selecting the most appropriate forecasting model for different retail locations. However, several studies have adopted a one-size-fits-all approach, overlooking important local characteristics that are only occasionally captured by the best global model. In this work, using data generated by the SmartStreetSensor project, a large network of sensors installed across UK cities that collect Wi-Fi probe requests generated by mobile devices, we examine the optimal forecasting method to predict pedestrian footfall in various retail areas across Great Britain. After assessing six representative time series forecasting models, our results show that the LSTM model outperforms traditional methods in most areas. However, pedestrian counts at certain locations with specific spatial characteristics are better forecasted by other algorithms
Neurodiversity at work: bridging research, practice, and policy
Executive summary: This report provides insight into neurodiversity at work from a UK perspective, focusing on what good policy and practice look like for organisations and nationally. Neurodiversity is a broad concept and describes how all humans differ in their thinking and behaviour from each other (Walker, 2021). It encompasses a range of neurodevelopmental conditions, including autism, dyslexia, and Tourette's syndrome. Individuals who identify with or are diagnosed with any of these conditions are considered neurodivergent.
Neurodevelopmental conditions are lifelong and may require environmental adaptations and appropriate healthcare for individuals to thrive both in life and at work. These conditions, when their effects meet the definition of disability, are protected under the UK Equality Act (2010), obligating employers to make reasonable adjustments for employees who disclose prolonged impairments to day-to-day functioning.
How early in life and how accurately people are diagnosed depends on many factors including their gender identity, their race, and their socioeconomic background. Employers thus need to take a holistic perspective to neuroinclusion, which is defined as the conscious and active inclusion of all types of information processing, learning and communication styles at work.
This report emphasises a strengths-based perspective on neurodiversity, which refers to recognising and valuing the unique abilities that neurodivergent individuals bring to the workplace
A Coarse Tutte Polynomial for Hypermaps
We give an analogue of the Tutte polynomial for hypermaps. This polynomial can be defined as either a sum over subhypermaps, or recursively through deletion-contraction relations where the base case consists of isolated vertices. Our Tutte polynomial extends the classical Tutte polynomial of a graph as well as the Tutte polynomial of an embedded graph (i.e., the ribbon graph polynomial). We examine relations between our polynomial and other hypermap polynomials. We give hypermap duality and partial duality identities for our polynomial, as well as some evaluations
To build a family: exploring preferred paths to parenthood among plurisexual individuals without children
Aims/Background: Limited research has examined family-building strategies among plurisexual individuals. Culture and gender are essential determinants of parenthood prospects among individuals with minoritized sexual identities. For plurisexual individuals, the partner’s gender also seems to play a critical role. Our investigation aimed to explore cisgender plurisexual individuals’ preferred paths to parenthood considering their country of origin, gender, and partner’s gender.
Design/Method: We examined associations between preferred pathways to parenthood and country, gender, and partner’s gender among 405 cisgender plurisexual individuals aged between 18 and 45 years (M = 25.76; SD = 5.57), from Portugal (n = 140; 34.9%), Israel (n = 78; 19.3%), Poland (n = 85; 21%), and the UK (n = 102; 25.2%).
Results: Overall, couple adoption and sexual intercourse were the most chosen pathways to parenthood, and self-insemination and co-parenting were the least chosen. Participants from Poland and the United Kingdom were less likely to choose artificial insemination, single adoption, and self-insemination than their Portuguese counterparts. Women were more likely than men to choose artificial insemination. Individuals in different-gender relationships were more likely to choose sexual intercourse as a means of having children than were those in same-gender relationships, and the opposite was true for artificial insemination.
Conclusion: Country, gender, and the partner’s gender influence plurisexual individuals’ choice of some parenthood pathways. Psychological and reproductive counselling should consider these aspects
Jealousy as a social bond
This chapter explores the social dimensions of jealousy, distinguishing it from envy and highlighting its influence on relationships, ideology, and societal crises. Jealousy is presented as a triadic emotion involving rivalry and potential loss, while envy is characterised as a dyadic emotion centred on possession or destruction. The chapter connects jealousy to authoritarian regimes, where social inequalities and systemic exploitation foster resentment and apathy. It also shows how, during the COVID-19 pandemic, disparities in lockdown experiences sparked public outrage, further demonstrating jealousy’s societal impact. In conclusion, the distinction between ‘white’ (aspirational) and ‘black’ (destructive) envy is examined through Russia’s reaction to Ukraine’s democratic movements. Drawing from psychoanalytic theories, the discussion positions jealousy as a key element in socialisation, self-awareness, and understanding others’ desires. Ultimately, jealousy and envy are reframed as complex emotions that can drive both personal and societal change
Child abuse
The history of child abuse is an emerging field of scholarship, driven in part by the feminist and survivor activism that has seen the
phenomena increasingly discussed in public life since the 1970s. Just as the concept of childhood itself has shifted over time and
space, so too have understandings of child abuse. The distinctions between childhood and adulthood along with “norms” of parenting
as well as definitions about what constitutes “discipline” as opposed to “cruelty,” “maltreatment,” “violence,” or “abuse” continue to be
contested. Existing across disciplines rather than fitting neatly within a single category, the histories of child abuse are of interest to the
professional groups that have a role in child welfare or child protection services: the physicians, psychiatric and social workers, as well
as those engaged in childhood studies. Historians of medicine, childhood and youth, welfare and public services are also increasingly
active in the field. Scholars grapple with key historiographical questions related to gender and sexuality, age and generation, race,
ethnicity, and social class. Child abuse is currently understood as harm inflicted on a child, whether physical, emotional, or sexual, as
well as neglect, by which is meant the persistent failure to meet a child’s physical and/or psychological needs. It is recognized that
different forms of abuse often co-exist. However, as will be evident from the citations below, the historiography is somewhat uneven; for
example, there is very little historically grounded research into certain categories of abuse such as child neglect or emotional abuse
whereas the scholarship on sexual abuse is more developed. The English-language historiography is also heavily skewed to the United
States, Britain, and Ireland, although some important scholarship has emerged from Australia and Scandinavia, particularly arising out
of inquiries into historical abuses. Sources are often severely restricted due to cultural taboos, and, where histories involve the living or
very recently deceased, concerns about confidentiality and safeguarding. Historians are increasingly naming and exploring the ethical and methodological challenges they face in archival research, in generating oral histories and in their writing about the recent past,
whether it concerns those who were victim-survivors of abuse or the perpetrators of sexual offenses, or the professionals assessing or
treating the people affected. In many countries, there are strict restrictions around the personal data available about individuals. The
difficulties inherent in recovering children’s voices become more acute in seeking to uncover the experiences of those who have been
ill-treated. To what extent should historians seek to locate and explore the experiences of specific children or perpetrators or those
directly affected by the sexual abuse rather than exploring broader social, cultural, and political themes using aggregate data in
bureaucratic sources
Decoding semantic sound categories in early visual cortex
Early visual cortex, once thought to be exclusively used for visual processes, has been shown to represent auditory information in the absence of visual stimulation. However, the exact information content of these representations is still unclear, as is their degree of specificity. Here, we acquired functional magnetic resonance imaging (fMRI) data while blindfolded human participants listened to 36 natural sounds, hierarchically organized into semantic categories. Multivoxel pattern analysis revealed that animate and inanimate sounds, as well as human, animal, vehicle, and object sounds could be decoded from fMRI activity patterns in early visual regions V1, V2, and V3. Further, pairwise classification of the different sound categories demonstrated that sounds produced by humans were represented in early visual cortex more distinctively than other semantic categories. Whole-brain searchlight analysis showed that sounds could be decoded also in higher level visual and multisensory brain regions. Our findings extend our understanding of early visual cortex function beyond visual feature processing and show that semantic and categorical sound information is represented in early visual cortex, potentially used to predict visual input