16,571 research outputs found

    Using Contactless Mobile Payment in the Vietnamese Restaurant Industry

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    This study develops a critical understanding of Contactless Mobile Payment (CMP) in the context of consumer behaviour and explores its use in the Vietnamese restaurant industry. An online survey was used to collect the data (n=153) from Vietnamese consumers. Data analysis was conducted with the use of SPSS and AMOS software. A Confirmatory Factor Analysis (CFA) in conjunction with Structural Equation Modelling (SEM) were employed to explore consumer perceptions regarding the use of CMP. The findings indicate that consumers find CMP a fast and convenient way to make transactions in Vietnamese restaurants. The findings also indicate the importance of ease of use and security. The study contributes to the understanding of consumer behaviour in regard to technology in the service industries context

    Towards a sociology of conspiracy theories: An investigation into conspiratorial thinking on Dönmes

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    This thesis investigates the social and political significance of conspiracy theories, which has been an academically neglected topic despite its historical relevance. The academic literature focuses on the methodology, social significance and political impacts of these theories in a secluded manner and lacks empirical analyses. In response, this research provides a comprehensive theoretical framework for conspiracy theories by considering their methodology, political impacts and social significance in the light of empirical data. Theoretically, the thesis uses Adorno's semi-erudition theory along with Girardian approach. It proposes that conspiracy theories are methodologically semi-erudite narratives, i.e. they are biased in favour of a belief and use reason only to prove it. It suggests that conspiracy theories appear in times of power vacuum and provide semi-erudite cognitive maps that relieve alienation and ontological insecurities of people and groups. In so doing, they enforce social control over their audience due to their essentialist, closed-to-interpretation narratives. In order to verify the theory, the study analyses empirically the social and political significance of conspiracy theories about the Dönme community in Turkey. The analysis comprises interviews with conspiracy theorists, conspiracy theory readers and political parties, alongside a frame analysis of the popular conspiracy theory books on Dönmes. These confirm the theoretical framework by showing that the conspiracy theories are fed by the ontological insecurities of Turkish society. Hence, conspiracy theorists, most readers and some political parties respond to their own ontological insecurities and political frustrations through scapegoating Dönmes. Consequently, this work shows that conspiracy theories are important symptoms of society, which, while relieving ontological insecurities, do not provide politically prolific narratives

    Exploring environmental concerns on digital platforms through big data: the effect of online consumers’ environmental discourse on online review ratings

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    By deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million reviews, this work sheds light on how environmental concerns expressed by tourists on digital platforms, in the guise of online reviews, influence their satisfaction with tourism and hospitality services. More specifically, we conduct a multi-platform study of Tripadvisor.com and Booking.com online reviews (ORs) pertaining to hotel services across eight leading tourism destination cities in America and Europe over the period 2017–2018. By adopting multivariate regression analyses, we show that OR ratings are positively influenced by both the presence and depth of environmental discourse on these platforms. Theoretical and managerial contributions, and implications for digital platforms, big data analytics (BDA), electronic word-of-mouth (eWOM) and environmental research within the tourism and hospitality domain are examined, with a view to capturing, empirically, the effect of environmental discourse presence and depth on customer satisfaction proxied through online ratings

    Image classification over unknown and anomalous domains

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    A longstanding goal in computer vision research is to develop methods that are simultaneously applicable to a broad range of prediction problems. In contrast to this, models often perform best when they are specialized to some task or data type. This thesis investigates the challenges of learning models that generalize well over multiple unknown or anomalous modes and domains in data, and presents new solutions for learning robustly in this setting. Initial investigations focus on normalization for distributions that contain multiple sources (e.g. images in different styles like cartoons or photos). Experiments demonstrate the extent to which existing modules, batch normalization in particular, struggle with such heterogeneous data, and a new solution is proposed that can better handle data from multiple visual modes, using differing sample statistics for each. While ideas to counter the overspecialization of models have been formulated in sub-disciplines of transfer learning, e.g. multi-domain and multi-task learning, these usually rely on the existence of meta information, such as task or domain labels. Relaxing this assumption gives rise to a new transfer learning setting, called latent domain learning in this thesis, in which training and inference are carried out over data from multiple visual domains, without domain-level annotations. Customized solutions are required for this, as the performance of standard models degrades: a new data augmentation technique that interpolates between latent domains in an unsupervised way is presented, alongside a dedicated module that sparsely accounts for hidden domains in data, without requiring domain labels to do so. In addition, the thesis studies the problem of classifying previously unseen or anomalous modes in data, a fundamental problem in one-class learning, and anomaly detection in particular. While recent ideas have been focused on developing self-supervised solutions for the one-class setting, in this thesis new methods based on transfer learning are formulated. Extensive experimental evidence demonstrates that a transfer-based perspective benefits new problems that have recently been proposed in anomaly detection literature, in particular challenging semantic detection tasks

    Embodying entrepreneurship: everyday practices, processes and routines in a technology incubator

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    The growing interest in the processes and practices of entrepreneurship has been dominated by a consideration of temporality. Through a thirty-six-month ethnography of a technology incubator, this thesis contributes to extant understanding by exploring the effect of space. The first paper explores how class structures from the surrounding city have appropriated entrepreneurship within the incubator. The second paper adopts a more explicitly spatial analysis to reveal how the use of space influences a common understanding of entrepreneurship. The final paper looks more closely at the entrepreneurs within the incubator and how they use visual symbols to develop their identity. Taken together, the three papers reject the notion of entrepreneurship as a primarily economic endeavour as articulated through commonly understood language and propose entrepreneuring as an enigmatic attractor that is accessed through the ambiguity of the non-verbal to develop the ‘new’. The thesis therefore contributes to the understanding of entrepreneurship and proposes a distinct role for the non-verbal in that understanding

    The interpretation of Islam and nationalism by the elite through the English language media in Pakistan.

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    The media is constructed and interpreted through what people 'know'. That knowledge is, forthe most part, created through day to day experiences. In Pakistan, Islam and nationalism aretwo components of this social knowledge which are intrinsically tied to the experiences of thePakistani people. Censorship and selection are means through which this knowledge isarticulated and interpreted.General conceptions of partially shared large scale bodies of knowledge and ideas reinforce,and are reinforced by, general medium of mass communication: the print and electronic media.Focusing on the govermnent, media institutions and Pakistani elites, I describe and analyse thedifferent, sometimes conflicting, interpretations of Islam and Pakistani nationalism manifest inand through media productions presented in Pakistan.The media means many things, not least of which is power. It is the media as a source ofpower that is so frequently controlled, directed and manipulated. The terminology may beslightly different according to the context within which one is talking - propaganda, selection,etc. - but ultimately it comes down to the same thing - censorship. Each of the three groups:government, media institutions and Pakistani elites - have the power to interpret and censormedia content and consideration must be taken of each of the other power holders consequentlyrestricting the power of each group in relation to the other two. The processes of thismanipulation and their consequences form the major themes of this thesis

    The Lights Are Too Loud: Neurodivergence in the Student Affairs Profession

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    Much of the current scholarly literature on neurodiversity in higher education tends to focus solely on the experiences of neurodiverse students. There is a significant gap in the literature that highlights how neurodiverse professionals survive and thrive in careers in higher education. Utilizing the Scholarly Personal Narrative (SPN) Methodology, this paper aims to address the current literature gap by using the existing research, coupled with the author\u27s personal experiences, to emphasize the unique needs of neurodiverse people on college campuses. The author offers recommendations for stakeholders in higher education to create equitable and accessible spaces for neurodiverse people on campus. By highlighting the unique needs of neurodiverse people in higher education, the paper aims to validate and amplify their experiences in the higher education sphere

    Prevalence and correlates of physical dating violence among North American Indigenous adolescents

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    This study examined the lifetime prevalence of physical dating violence, including victimization, perpetration, and the overlap between the two (mutual violence), among a population sample of 551 reservation/reserve residing Indigenous (i.e., American Indian and Canadian First Nations) adolescents in the upper-Midwest of the United States and Canada. Potential correlates of four dating violence profiles (i.e., no dating violence, perpetration only, victimization only, and mutual violence) relevant to this population also were considered. The clearest pattern to emerge from multinomial logistic regression analyses suggested that adolescents who engage in problem behaviors, exhibit high levels of anger, and perceive high levels of discrimination have increased odds of lifetime mutual dating violence relative to those reporting no dating violence. Furthermore, gender comparisons indicated that females were more likely to report being perpetrators only, whereas males were more likely to report being victims only. Considerations of dating violence profiles and culturally relevant prevention strategies are discussed.Peer reviewedSociolog
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