Understanding and Telling Stories across Online and Real-world Cultural and Historical Artefacts

Storytelling is a natural way for humans to make sense of their world. Narratives structure experience into expected forms that improve understanding of relationships between discrete objects and events. This is the rationale behind museum curation, which organises objects in the physical museum space to reveal how they are related. This thesis explores how to support people to tell and experience narratives across multiple objects. For the online world, a model of curatorial inquiry is introduced which is designed to support a historical inquiry from online sources. This model extends existing inquiry models and is inspired by museum practice in which curators organize objects into museum narratives. For the physical world, a model is introduced that describes navigation through both the physical and conceptual neighbourhood of a set of objects. It is designed to support tourist activities across a non-portable set of cultural objects, such as statues, buildings, or landscape features. Key findings, based on both participant studies and analysis of data from Foursquare, is that while people are keen to understand stories that link places in a physical space, they prefer to navigate using physical, rather than conceptual proximity, and to visit places that are popular. This is counter to many mobile tour guides that focus on prompting navigation to similar places. The proposal of this thesis is therefore to develop applications that support tourists in understanding both what is physically nearby and conceptually nearby. This would allow them to use physical proximity - or any preferred alternative – to select where to go next, whilst supporting them to make links between the places they visit. In this way tourists would be provided with enough information about the relationships of places within a physical neighbourhood that they can start to understand and create their own stories about them

FinBook: literary content as digital commodity

This short essay explains the significance of the FinBook intervention, and invites the reader to participate. We have associated each chapter within this book with a financial robot (FinBot), and created a market whereby book content will be traded with financial securities. As human labour increasingly consists of unstable and uncertain work practices and as algorithms replace people on the virtual trading floors of the worlds markets, we see members of society taking advantage of FinBots to invest and make extra funds. Bots of all kinds are making financial decisions for us, searching online on our behalf to help us invest, to consume products and services. Our contribution to this compilation is to turn the collection of chapters in this book into a dynamic investment portfolio, and thereby play out what might happen to the process of buying and consuming literature in the not-so-distant future. By attaching identities (through QR codes) to each chapter, we create a market in which the chapter can ‘perform’. Our FinBots will trade based on features extracted from the authors’ words in this book: the political, ethical and cultural values embedded in the work, and the extent to which the FinBots share authors’ concerns; and the performance of chapters amongst those human and non-human actors that make up the market, and readership. In short, the FinBook model turns our work and the work of our co-authors into an investment portfolio, mediated by the market and the attention of readers. By creating a digital economy specifically around the content of online texts, our chapter and the FinBook platform aims to challenge the reader to consider how their personal values align them with individual articles, and how these become contested as they perform different value judgements about the financial performance of each chapter and the book as a whole. At the same time, by introducing ‘autonomous’ trading bots, we also explore the different ‘network’ affordances that differ between paper based books that’s scarcity is developed through analogue form, and digital forms of books whose uniqueness is reached through encryption. We thereby speak to wider questions about the conditions of an aggressive market in which algorithms subject cultural and intellectual items – books – to economic parameters, and the increasing ubiquity of data bots as actors in our social, political, economic and cultural lives. We understand that our marketization of literature may be an uncomfortable juxtaposition against the conventionally-imagined way a book is created, enjoyed and shared: it is intended to be

Creating a Strategy for Social Media, Perspectives from the Fashion Industry

Social media have altered the communication landscape and significantly impacted on marketing communication. Research suggests that with the rise of social media, marketing communication has been democratised, and the power has shifted from those in marketing to the individuals and communities that create and consume content on social media and redistribute it across a variety of channels. Yet the implications of social media are still largely unknown among practitioners and managers. Interest in the use of social media in marketing is growing. In particular with the recent special issues on social media published by marketing journals, the body of research is rapidly developing. But despite the growing interest, there are no specific theories that focus on social-media marketing in the fashion industry, and limited empirical research exists on the implications of social media in the fashion sector overall. Research in this area has the potential to inform both further study and practice in relation to the use of social media in fashion-marketing communications. This study explores the development, implications and impact of social media as a part of marketing communications in the fashion industry through case studies and key-informant interviews. In particular, the aim is to build an empirically grounded framework that enables the understanding, explanation and description of the process of building a social-media strategy. The findings arising from this research can help practitioners and managers to make sense of the social-media environment and better understand how to design social-media activities and effectively use social media in marketing communications. As the field is emerging, the methodologies, theories and their application are likely to evolve considerably

Adoption Factors of Artificial intelligence in Human Resource Management

Tesis por compendio[ES] El mundo es testigo de nuevos avances tecnológicos que afectan significativamente a las organizaciones en diferentes departamentos. La inteligencia artificial (IA) es uno de estos avances, visto como una tecnología revolucionaria en la gestión de recursos humanos (RRHH). Profesionales y académicos han discutido el brillante papel de la IA en RRHH. Sin embargo, el análisis profundo de esta tecnología en el proceso de RRHH es aún escaso. Con todo ello, el objetivo principal de esta tesis es investigar el estado de la IA en RRHH y así identificar factores clave de implementación concretos. Primero, construyendo un marco académico para la IA en RRHH; segundo, analizar las aplicaciones de IA más utilizada en los procesos de RRHH; tercero, identificar las formas óptimas de transferir el conocimiento en los procesos de implementación de IA. La metodología utilizada para la investigación combina la revisión sistemática de la literatura y técnicas de investigación cualitativa. Como base y medida preparatoria para abordar las preguntas de investigación, se llevó a cabo un extenso análisis de la literatura en el campo AI-RRHH, con un enfoque particular en las publicaciones de algoritmos de IA en HRM, análisis de HR-Big data, aplicaciones/soluciones de IA en HRM e implementación de IA. En la misma línea, el autor publicó artículos en varias conferencias que contribuyeron a mejorar la madurez de las preguntas de investigación. Con base en este conocimiento, los estudios publicados ilustraron la brecha entre la promesa y la realidad de la IA en RRHH, teniendo en cuenta los requisitos técnicos de la implementación de la IA, así como las aplicaciones y limitaciones. Posteriormente, se entrevistó a expertos en recursos humanos y consultores de IA que ya habían adquirido experiencia de primera mano con los procesos de recursos humanos en un entorno de IA para descubrir la verdad de la aplicación de la IA dominante en el proceso de RRHH. Los principales hallazgos de esta tesis incluyen la derivación de una definición completa de IA en RRHH, así como el estado de las estrategias de adopción de aplicaciones de IA en RRHH. Como resultado adicional, se explora la utilidad y las limitaciones de los chatbots en el proceso de contratación en la India. Además, factores clave para transferir el conocimiento del proceso de implementación de IA a los gerentes y empleados de recursos humanos. Finalmente, se concluye identificando desafíos asociados con la implementación de IA en el proceso de recursos humanos y el impacto de COVID-19 en la implementación de IA.[CA] El món és testimoni de nous avanços tecnològics, que afecten significativament les organitzacions en diferents departaments. La intel·ligència artificial (IA) és un d'aquests avanços que s'anuncia àmpliament com una tecnologia revolucionària en la gestió de recursos humans (HRM). Professionals i acadèmics han discutit el brillant paper de la IA en HRM. No obstant això, encara és escàs l'anàlisi profund d'aquesta tecnologia en el procés de HRM. Per tant, l'objectiu principal d'aquesta tesi és investigar l'estat de la IA en HRM i derivar factors clau d'implementació concrets. Primer, construint un marc acadèmic per a la IA en HRM; segon, analitzar l'aplicació de IA més utilitzada en el procés de recursos humans; tercer, identificar les formes òptimes de transferir el coneixement dels processos d'implementació de IA. La metodologia utilitzada per a la investigació es combina entre una revisió sistemàtica de la literatura i una tècnica d'investigació qualitativa. Com a base i mesura preparatòria per a abordar les preguntes d'investigació, es va dur a terme una extensa anàlisi de la literatura en el camp IA-HRM, amb un enfocament particular en les publicacions d'algorismes de IA en HRM, anàlisis de HR-Big data, aplicacions/soluciones de IA en HRM i implementació de IA. En la mateixa línia, l'autor va publicar articles en diverses conferències que van procedir a millorar la maduresa de les preguntes d'investigació. Amb base en aquest coneixement, els estudis publicats van illustrar la bretxa entre la promesa i la realitat de la IA en HRM, tenint en compte els requisits tècnics de la implementació de la IA, així com les aplicacions i limitacions. Posteriorment, es va entrevistar experts en recursos humans i consultors de IA que ja havien adquirit experiència de primera mà amb els processos de recursos humans en un entorn de IA per a descobrir la veritat de l'aplicació de la IA dominant en el procés de recursos humans. Les principals troballes d'aquesta tesi són la derivació d'una definició completa de IA en HRM, així com l'estat de les estratègies d'adopció d'aplicacions de IA en HRM. Com a resultat addicional, explore la utilitat i les limitacions dels chatbots en el procés de contractació a l'Índia. A més, factors clau per a transferir el coneixement del procés d'implementació de IA als gerents i empleats de recursos humans. També es van concloure els desafiaments associats amb la implementació de IA en el procés de recursos humans i l'impacte de COVID-19 en la implementació de IA.[EN] The world is witnessing new technological advancements, which significantly impacts organizations across different departments. Artificial intelligence (AI) is one of these advancements that is widely heralded as a revolutionary technology in Human Resource Management (HRM). Professionals and scholars have discussed the bright role of AI in HRM. However, deep analysis of this technology in the HR process is still scarce. Therefore, the main goal of this thesis is to investigate the status of AI in HRM and derive concrete implementation key factors. Through, first, building an academic framework for AI in HRM; second, analyzing the most commonly used AI applications in HR process; third, identifying the optimal ways to transfer the knowledge of AI implementation processes. The methodology used for the investigation combines a systematic literature review and a qualitative research technique. As a basis and preparatory measure to address the research questions, an extensive literature analysis in the AI-HRM field was carried out, with a particular focus on publications of AI in HRM, HR-Big data analysis, AI applications/solutions in HRM and AI implementation. Along similar lines, the author published papers in several conference proceedings to improve the maturity of research questions. Based on this work, the published studies illustrate the gap between the promise and reality of AI in HRM, taking into account the requirements of AI implementation as well as the applications and limitations. Subsequently, HR experts and AI consultants, who had already gained first-hand experience with HR processes in an AI environment, were interviewed to find out the truth of the dominant AI's application in HR process. The main findings of this thesis are the derivation of a complete definition of AI in HRM as well as the status of the adoption strategies of AI applications in HRM. As a further result, it explores the usefulness and limitations of chatbots in the recruitment processes in India. In addition, derived the key factors to transfer the knowledge of AI implementation process to HR managers and employees. Challenges associated with AI implementation in the HR process and the impact of COVID-19 on AI implementation were also concluded.Tuffaha, M. (2022). Adoption Factors of Artificial intelligence in Human Resource Management [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/185909Compendi

Content Creation in the Digital Economy: A Comprehensive Exploration and Investigation of Work Environment and Content Creators’ Behaviours

With the emergence and rapid spread of digital technologies, the world is undergoing a profound transformation. The digital economy that has evolved as a result has fundamentally changed and impacted every aspect of society and business, and it will undoubtedly change and reshape employment and work from various perspectives as well. Flexibility and autonomy have always been the strong attraction that the digital economy provides to workers, but behind this hidden truth is the strict control of platforms and algorithms. This thesis seeks to further deepen the understanding of working in the digital economy through a series of studies ranging from the broad to the specific, especially on the work of a particular group of content creators. This thesis contains four studies. Study 1 is a review paper that attempts to clarify the distinction between different concepts from the digital economy on a macro level. Studies 2-4 turn the perspective to a particular group of workers in the digital economy, the content creators. Study 2 uses two quantitative studies to theorise the characteristics of working on content creative platforms by developing a typology of these platforms. The third study was a systematic review to explore the power imbalance between platform algorithms and creators in content creative platforms. The fourth study employs a quantitative study that explores the impact of the platform work environment on the creators' behaviour from an individual perspective. This series of studies makes important theoretical contributions to the field related to employment relations in the digital economy context, especially content creative platforms, from both macro and micro perspectives. In addition, this series of studies provides practical implications for content creators, platforms and policymakers

Employees on social media: A multi-spokespeople model of CSR communication

Increasing societal and stakeholder expectations, along with easy access to information through social media, means corporations are asked for more information. The traditional approach to CSR communication, with corporations controlling what and how much to share with stakeholders has been restructured by social media, with stakeholders taking control. As legitimacy on social media is created through the positive and negative judgements of stakeholders, corporations must plan how to meet stakeholder demands for information effectively and legitimately, and this includes choosing appropriate spokespeople. Corporations in India have now turned towards their employees as CSR spokespeople. By encouraging employee activity on social media, these corporations are attempting to meet stakeholder demands and generate legitimacy through spokespeople whom stakeholders perceive as equals. This article examines that strategy and discusses its viability of using employees as spokespeople for CSR communication and engagement with stakeholder

Curating Web-Based Art Exhibitions: Mapping Online and Offline Formats of Display

This dissertation investigates the theory and praxis of curating web-based exhibitions from the perspective of a practitioner (the author Marialaura Ghidini). Specifically, it investigates how the web as a medium of production, display, distribution and critique has had an impact on the work and research of independent curators and the way in which they configure their exhibition projects. With a focus on the last decade, curatorial work of production and commission is considered in relation to technological developments, previous theoretical work into the mapping of exhibitions online and the analysis of case studies which are paralleled with the author’s own exhibition projects. What has emerged from this combination of theory, practice and comparison of approaches is the rise of a tendency in contemporary curatorial practices online: the creation of exhibitions that migrate across sites—online and offline—and integrate different components—formats of display and distribution—giving life to exhibition models which this study names as those of the 'extended' and 'expanded'. The figure of the curator as mediating ‘node’ is another characteristic emerging in relation to this tendency. Its features are identified through the observation of six case studies, which include Beam Me Up, CuratingYouTube and eBayaday, and interviews with their curators, and three projects that the author organised with the web curatorial platform or-bits-dotcom, 128kbps objects (2012), (On) Accordance (2012) and On the Upgrade WYSIWG (2013), which experiment with modes of integrating web-based exhibition with other exhibition formats, such as the gallery show and print publishing. Through combining contextual review and curatorial practice, this study names the tensions existing between online and offline sites of display and modes of production and commission, offering critical and practical ground work to discuss the tendency of migrating exhibitions and integrating formats within the larger context of curating contemporary art