33 research outputs found
Analysis of Advertisements by Yus’ Verbal-Visual Model
No full textFrancisco Yus proposed a verbal-visual (VV) model for analyzing media discourse based on Relevance Theory in 1997. This paper gives an introduction to Yus’ VV model and then applies the model to analyze three advertisements with the VV model’s four parameters of communication: exchange, message, intentionality, and efficiency. Yus’ VV model successfully captures all possible interpretive categories of the selected advertisements. The study finds that the first selected ad has one communication layer—spectator-oriented communication—and is intentionally conveyed non-verbally to readers. The second ad has two communication layers—character-oriented and spectator-oriented communication. The author intentionally conveys the message to readers both verbally and non-verbally. The last ad has one communication layer—spectator-oriented communication. The author intentionally uses non-verbal communication with the readers. For all three ads, the reader may have maximal or minimal interpretive efficiency based on individual differences. This study analyzes advertisements at different levels of communication from a cognitive perspective. Currently, few studies do so. And this study provides a reference for the analysis of media discourse under the framework of relevance theory
Doctors’ Pragmatic Identity Construction Based on The Doctors
No full textIn recent years, conflicts between doctors and patients in China have occurred from time to time. In the past, some scholars conducted research on the doctor-patient relationship, but there are few studies on doctors’ pragmatic identity construction. Therefore, guided by Chen Xinren’s pragmatic identity theory, using python as an analytical aid, this paper uses a combination of qualitative and quantitative analysis to conduct a study of doctor’s pragmatic identity construction based on a medical documentary The Doctors. The main focus of this study is not only the types of pragmatic identity constructed by doctors in the documentary, but also the emotional characteristics of these pragmatic identities. According to this research, the doctors in the documentary The Doctors mainly construct expert identity, peer identity, and stress bearer identity. The overall emotional characteristics of the constructed pragmatic identities are neutral, and positive emotions are greater than negative ones. This paper has certain research significance. For one thing, this study provides a new research perspective for doctors’ pragmatic identity construction, that is, to study the overall emotional characteristics of the constructed identities. For another, this study can help the public understand the pragmatic identity of doctors to a certain extent, and promote the harmonious relationship between doctors and patients
A framework for Artificial Intelligence Organizational Readiness: An exploratory study of influencing factors in semiconductors
No full textThe applications of artificial intelligence (AI) are significant on a social and economic scale, and they can offer businesses great value and opportunities. However, because of AI's varied application areas, its inherent complexity, and the new organizational requirements that result from AI adoption, companies encounter pitfalls when deploying the technology. Potential implementation scenarios are not always clear. Understanding the AI readiness on an organizational level, which shows “the extent to which an organization has the ability to reap the benefits of AI” can improve the chances of effective AI deployment. This study aims to bridge the gap between academia and practice as most attention to artificial intelligence was paid to modeling steps in academia. Research on applying AI models to real-life problems and realizing business value has received insufficient attention. The current frameworks do not incorporate context-specific considerations for organizational readiness. This research investigates the organizational readiness of AI in the semiconductor industry. It is a critical step in avoiding costly failures, considering the capital-intensive characteristic of the semiconductor industry. A literature study has been conducted at first to review the existing AI organizational readiness framework and typical readiness factors. Then eight industry expert interviews are conducted to give a more holistic view of AI use cases across the semiconductor value chain as identifying the opportunity is the first step to establish AI readiness. Three challenges of AI deployment are summarized and the potential AI organizational readiness factors are listed to guide the case study interviews. The case study is carried out in ASML, one of the leading producers of chip-making equipment in the world. Through fourteen case study interviews, this research proposes an AI organizational readiness framework with six dimensions and conceptualizes twenty readiness factors. In the strategic alignment dimension, there are needs and added-value assessment, bottom-up proposal/innovation lab, top management support, business model innovation. In the resource dimension, there are talents, financial budget, IT infrastructure, competence center. In the process dimension, there are multidisciplinary team/collaboration, agile way of working, employee training, business process standardization. Regarding data dimension, there are data availability, data governance, data platform. In the AI model cluster, there are explainable AI with domain experts, context-aware modeling, model operation. In the external business environment, there are peers/competitors/software vendors and customer demand. Furthermore, twenty propositions on AI readiness in semiconductor organizations are given indicating their positive or negative influence on AI organizational readiness. This study contributes to the emerging literature on AI organizational readiness with the developed multi-dimension framework. It identifies AI-specific readiness factors under the dimensions of "Data" and "AI model". Moreover, among 20 readiness factors, 10 readiness factors are newly identified such as the agile way of working, competence center, context-aware modeling. Companies that seek to implement AI can use the proposed framework with readiness factors as a tool for assessment to help decision-makers, managers, and project teams to develop and deploy AI faster and more effectively.Management of Technology (MoT
The Mixturegram: A Visualization Tool for Assessing the Number of Components in Finite Mixture Models
No full textHow does alliance partner distance affect a firm’s alliance governance choice?
No full textM.Phil.Firms embedded in networks face the need to incorporate new partners to overcome constraints of their current networks. There are, however, specific relational risks involved in alliances with partners at different degrees of nodes in firms’ ego-centric networks. The current study introduces and addresses the tension of how relational risks (reflected by partner network distance) affect a firm’s governance structure and resource commitment decision for a collaborative relationship with a specific partner. Specifically, I distinguish among existing, new close, and new distant partners based on the latent network structure between focal firms and their partners and regard firms’ alliance governance choice as an indication of the level of resource commitment. I argue that an increase in the partner network distance negatively affects a firm’s likelihood of equity use. However, this negative effect can be mitigated with a shorter technological distance between the focal firm and partner or higher partner innovation performance. Analyses of alliances formed by US pharmaceutical firms from 1996 to 2008 support these predictions. This study enhances scholarly understanding of a firm’s choice of its alliance governance by completing the network lens and providing a more integrated value-based explanation. It also contributes to the alliance portfolio literature by revealing the dynamics between two different dimensions of alliance portfolios: structural and relational dimensions.在当今竞争环境下，公司长长处于由联盟合作者组成的关系网络中。他们需要不断与关系网络之外的合作者联盟以抵消现有网络的局限性。但与关系网之外的合作者合作，却涉及了许多特定的关系风险。本文解释了关系风险（反映于合作者网络距离）如何影响公司对于特定合作者的资源投入和合作管理模式选择的决策。特别地，本文基于公司与合作者之间的关系网结构，将合作者分为现有合作者，新近合作者和新远合作者三种不同的类型。本文阐述了公司对关系上更疏远的合作者倾向于用非股权投资的模式的假设，并指出这一倾向性会因双方的科技领域相似性和合作者创新表现的增高而减弱。基于美国制药公司在1996-2008年间建立的战略联盟样本的分析支持了本文的假设。本文将对战略联盟管理文献做出贡献。Yin, Chenlu.Thesis M.Phil. Chinese University of Hong Kong 2019.Includes bibliographical references (leaves 36-43).Abstracts also in Chinese.Title from PDF title page (viewed on 21 May, 2021)
Social Innovation Perspective on Regional Design and Sustainable Development Research
No full textIn today’s world, the development of regional industries and cross-regional cultural integration have brought about environmental damage and cultural erosion. However, there are many shortcomings in the research and countermeasures for the problem, especially in China. The greater participation of the whole society in innovative regional design has a huge impact on the sustainable development of the region. This research aims to provide a more comprehensive understanding framework for regional design and strategic guidance for future research directions and practical paths. We adopted the methods of a literature review and a case analysis to discuss the importance of social cooperation in social innovation from the perspectives of cultural inheritance, community participation, industrial upgrading, and brand building. Based on Professor Kiyoshi Miyazaki’s “Human Culture Land Production Landscape” resource integration model, combined with specific regional goals, five major design domains have been constructed to address five issues. In specific regional design practices, participatory design, value co-creation, and resource integration design methods have been applied. Research has found that these theoretical and practical paths have achieved good results and played a positive role in promoting the Sustainable Development Goals (SDG9 and SDG11)
Preparation of poly(acrylamide-<i>co</i> -acrylic acid)/silica nanocomposite microspheres and their performance as a plugging material for deep profile control
No full textCHA(2)DS(2)-VASc score as predictor of ischemic stroke in patients undergoing coronary artery bypass grafting and percutaneous coronary intervention
No full textIschemic stroke following coronary revascularization procedures remains one of the most potentially devastating complications. CHA(2)DS(2)-VASc score has been widely used for stroke risk stratification in AF patients. The aim of this nationwide study was to examine the association between the CHA(2)DS(2)-VASc score and ischemic stroke following coronary revascularization procedures. We identified patients undergoing coronary revascularization procedures, coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI), using the electronic Hospitalization Summary Reports. Logistic regression models were applied to evaluate the association of CHA(2)DS(2)-VASc score with the risk of post-procedural ischemic stroke. We identified 54,714 patients undergoing CABG and 263,063 patients undergoing PCI from 2013 to 2015. The CHA(2)DS(2)-VASc score had a positive graded association with the risk of post-procedural ischemic stroke in both CABG and PCI (P for trend < 0.001). The adjusted risk of post-procedural ischemic stroke increased by an estimated 122.4% (odds ratio [OR], 2.22; 95% confidence interval [CI], 2.11-2.35) and 34.7% (OR, 1.35; 95% CI, 1.31-1.39) for each additional 1 point in the CHA(2)DS(2)-VASc score in CABG and PCI, respectively. In conclusion, these findings suggested that CHA(2)DS(2)-VASc score was an independent predictor of the development of post-procedural ischemic stroke in patients undergoing CABG and PCI.National Natural Science Fund Projects of China [81473043]SCI(E)ARTICLE
How Fear of External Threats Plays Roles: An Examination of Supervisors’ Trait Anger, Abusive Supervision, Subordinate Burnout and CCB
No full textIn times of uncertainty, such as during COVID-19, many organizations experience profit decline, and employees develop a fear of external threats, such as organizational layoffs. However, most of the literature focuses on how people’s fear influences their well-being. Less is known about how employees’ fear of external threats influences their workplace behaviors. The current study proposes that supervisors’ fear of external threats stimulates those who are high in trait anger to behave in a more abusive way. Simultaneously, subordinates’ fear of external threats would strengthen the positive relationship between abusive supervision and their burnout and compulsory citizenship behaviors (CCB), as fear of external threats constrains their response options to abusive supervision. We tested the hypotheses with a multiwave and multisource survey study (N = 322 dyads) in China, and the results showed that supervisors’ fear of external threats strengthened the positive effect of trait anger on abusive supervision. Subordinates’ fear of external threats strengthens the positive relationships of abusive supervision with CCB and the mediating effect of abusive supervision in the relationship of supervisors’ trait anger with subordinates’ CCB. Our study enriches people’s understanding of how supervisors’ and subordinates’ fear of external threats may play roles in workplace behaviors
Two-level Correction Method of Load Parameters Based on an Aggregation-identification Structure
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