Mapping the Wave of Industry Digitalization by Co-Word Analysis: An Exploration of Four Disruptive Industries

This paper aims to identify global digital trends across industries and to map emerging business areas by co-word analysis. As the industrial landscape has become complex and dynamic due to the rapid pace of technological changes and digital transformation, identifying industrial trends can be critical for strategic planning and investment policy at the firm and regional level. For this purpose, the paper examines industry and technology profiles of top startups across four industries (i.e. education, finance, healthcare, manufacturing) using CrunchBase metadata for the period 2016-2018 and studies in which subsector early-stage firms bring digital technologies on a global level. In particular, we apply word co-occurrence analysis to reveal which subindustry and digital technology keywords/keyphrases appear together in startup company classification. We also use network analysis to visualize industry structure and to identify digitalization trends across sectors. The results obtained from the analysis show that gamification and personalization are emerging trends in the education sector. In the finance industry, digital technologies penetrate in a wide set of services such as financial transactions, payments, insurance, venture capital, stock exchange, asset and risk management. Moreover, the data analyses indicate that health diagnostics and elderly care areas are at the forefront of the healthcare industry digitalization. In the manufacturing sector, startup companies focus on automating industrial processes and creating smart interconnected manufacturing. Finally, we discuss the implications of the study for strategic planning and management

The transformation of industrial relations in Korea : a case study of the automobile manufacturing company, Kia Motors, 1980-1992

It is generally accepted that a substantial change has taken place in Korean industrial relations since 1987. However, despite the wide recognition of these changes and subsequent studies, very few empirical studies have been undertaken to examine the shifts in the pattern and processes of the practice of industrial relations at the firm level, which is essential for the verification of the general consensus of view on such changes. Without such practical research, it is difficult to truly understand the direction of such changes and, therefore, to respond effectively to such changes. Based on this conviction, this thesis will try to delineate a clear picture of change in Korean industrial relations via a specific case study of Kia Motors, with reference to findings on macro-level changes. Before proceeding to the next section of this thesis, it would be advantageous to detail the research procedures so that the research context is fully understood. This part, in this regard, will briefly outline the next steps in this thesis. In Chapter Two, the theoretical background adopted for the analysis of industrial relations issues in Korea has been taken from The Transformation of American Industrial Relations (Kochan et alii of 1986). Through an evaluation of the history of American industrial relations, an extensive review of empirical studies and after the collection and analysis of a wide variety of primary and secondary qualitative and quantitative data, the authors claim that America has recently experienced a fundamental transformation in its industrial relations system. Specific reasoning will be provided later, but the fact that the theory adopted by Kochan et alii deals with the transformation of American industrial relations provides ample justification for it to be used as a theoretical framework for the analysis of rapid changes in Korean industrial relations since 1987. The empirical case study of Kia Motors will also examine the appropriateness of Kochan et alii's theoretical framework for analysing Korean industrial relations. In this thesis, Kochan et alii's strategic choice theory and the ”Framework for Analysing Industrial Relations Issues“ (vid. Figure 2.1) are given special emphasis, as they provide a unique diagnostic method of research for the processes and patterns of change in industrial relations

The Inbetweeners: The Korean Animation Industry Negotiates the Global and the National

This thesis examines the (South) Korean animation industry in between the global and the national. Since the 1990s, the Korean animation industry has tried to shift from being a subordinated ‘in-betweener’ (i.e. subcontracting for the USA and Japan) to becoming an autonomous agent (i.e. producing its own animations). What exactly initiated this change? Can it be perhaps understood as the response to the globalisation process? Or, can it be, in fact, Korea’s constantly contested nationalism under the guise of capital force of globalisation? How does this change our understanding of globalisation as process? More importantly, how do animators experience globalisation in their daily lives and work conditions? To answer these questions, the thesis focuses on (1) how the local creative industry recognises and realises the dynamics between the global and national; (2) how the local creative producers experience negotiating local and global values in their daily lives and work. As Korea is a globally challenged nation with constantly contested national identity, the Korean animation industry is a potent site for examining ambivalent identity formation through these ‘in-between’ negotiation processes. People’s everyday experiences and ‘emotional’ struggles in-between the two major forces of nationalism and globalisation have been relatively neglected in research so far. This focus leads me to suggest the idea of ‘in-between’ not just as subcontracting but as a concept. In contrast to celebration of hybridity as ambivalence and/or resistance to both globalisation and nationalism, ‘in-betweeness’ captures the subjective experience generated from hybridity and realised through social and emotional tension in lived experiences and work. Being in-between is understood as a negotiation, transition and dis/juncture of different experiences of globalisation, along which Korean animators experience conflicts, dilemmas and confusion and hesitations about which direction to head in. It results in the creation of an ambivalent and often agonized in between identity

Consortium for Robotics and Unmanned Systems Education and Research (CRUSER) 2019 Annual Report

Prepared for: Dr. Brian Bingham, CRUSER DirectorThe Naval Postgraduate School (NPS) Consortium for Robotics and Unmanned Systems Education and Research (CRUSER) provides a collaborative environment and community of interest for the advancement of unmanned systems (UxS) education and research endeavors across the Navy (USN), Marine Corps (USMC) and Department of Defense (DoD). CRUSER is a Secretary of the Navy (SECNAV) initiative to build an inclusive community of interest on the application of unmanned systems (UxS) in military and naval operations. This 2019 annual report summarizes CRUSER activities in its eighth year of operations and highlights future plans.Deputy Undersecretary of the Navy PPOIOffice of Naval Research (ONR)Approved for public release; distribution is unlimited

Consortium for Robotics and Unmanned Systems Education and Research (CRUSER) 2019 Annual Report

Prepared for: Dr. Brian Bingham, CRUSER DirectorThe Naval Postgraduate School (NPS) Consortium for Robotics and Unmanned Systems Education and Research (CRUSER) provides a collaborative environment and community of interest for the advancement of unmanned systems (UxS) education and research endeavors across the Navy (USN), Marine Corps (USMC) and Department of Defense (DoD). CRUSER is a Secretary of the Navy (SECNAV) initiative to build an inclusive community of interest on the application of unmanned systems (UxS) in military and naval operations. This 2019 annual report summarizes CRUSER activities in its eighth year of operations and highlights future plans.Deputy Undersecretary of the Navy PPOIOffice of Naval Research (ONR)Approved for public release; distribution is unlimited

Generating Natural Language Summaries from Multiple On-Line Sources: Language Reuse and Regeneration

The abundance of news wire on the World-Wide Web has resulted in at least four major problems, which seem to present the most interesting challenges to users and researchers alike: size,heterogeneity, change, and conflicting information. Size: several hundred newspapers and news agencies maintain their Web sites with thousands of news stories in each. Heterogeneity: some of the data related to news is in structured format (e.g., tables); more exists in semi-structured format (e.g.,Web pages, encyclopedias, textual databases); while the rest of the data is in textual form (e.g., newswire). Change: most Web sites and certainly all news sources change on a daily basis. Disagreement: different sources present conflicting or at least different views of the same event. We have approached the second, third, and fourth of these four problems from the point of view of text generation. We have developed a system, {\scsummons}, which when coupled with appropriate information extraction technology, generates a specific genre of natural language summaries of a particular event (which we call briefings) in a restricted domain. The briefings are concise, they contain facts from multiple and heterogeneous sources, and incorporate evolving information, highlighting agreements and contradictions among sources on the same topic. We have developed novel techniques and algorithms for combining data from multiple sources at the conceptual level (using natural language understanding), for identifying new information on a given topic; and for presenting the information in natural language form to the user. We named the framework that we have developed for these problems {\em language reuse and regeneration} (LRR). Its novelty lies in the ability to produce text by collating together text already written by humans on the Web. The main features of LRR are: increased robustness through a simplified parsing/generation component, leverage on text already written by humans, and facilities for the inclusion of structured data in computer-generated text. The present thesis contains an introduction to LRR and its use inmulti-document summarization. We have paid special attention to the techniquesfor producing conceptual summaries of multiple sources, to the creation and useof a LRR-based lexicon for text generation, to a methodology used to identifynew and old information in threads of documents, and to the generation offluent natural language text using all the components above. The thesis contains evaluations of the different components of {\sc summons} aswell as certain aspects of LRR as a methodology. A review of the relevantliterature is included as a separate chapter