Analysis on the Factors Affecting the Performance of Platform Based Matchmaking Enterprises

The matchmaking service platform is an organization that integrates and matches resources for bilateral users. In the dynamic process of resource integration and exchange of services, its subject elements, object elements, technology elements and environmental elements will affect the performance of enterprises to varying degrees. Among them, the object element is mainly reflected in the resource management ability and information matching ability. This paper collected the evaluation of single users on the selection and use of the matchmaking platform through platform questionnaires, and made an in-depth analysis of the main factors affecting the performance of platform based matchmaking enterprises

Towards a Personalised Health System

This paper presents a Personalized Healthcare System (PHS), a decision support tool that can adapt to changing conditions, such as aging and illness, in individual patients. The system consists of three components: a unique personalised profile, a collection of web based tools and a web based repository for managing interactions between clinicians and tools. The proposed system makes extensive use of software agents, both for collecting the initial information required to construct a personalized profile and for transporting the information needed to use the on-line decision support tools. The paper discusses the operation of a PHS and suggests possible implementation issues

Smart, Responsible, and Upper Caste Only: Measuring Caste Attitudes through Large-Scale Analysis of Matrimonial Profiles

Discriminatory caste attitudes currently stigmatize millions of Indians, subjecting individuals to prejudice in all aspects of life. Governmental incentives and societal movements have attempted to counter these attitudes, yet accurate measurements of public opinions on caste are not yet available for understanding whether progress is being made. Here, we introduce a novel approach to measure public attitudes of caste through an indicator variable: openness to intercaste marriage. Using a massive dataset of over 313K profiles from a major Indian matrimonial site, we precisely quantify public attitudes, along with differences between generations and between Indian residents and diaspora. We show that younger generations are more open to intercaste marriage, yet attitudes are based on a complex function of social status beyond their own caste. In examining the desired qualities in a spouse, we find that individuals open to intercaste marriage are more individualistic in the qualities they desire, rather than favoring family-related qualities, which mirrors larger societal trends away from collectivism. Finally, we show that attitudes in diaspora are significantly less open, suggesting a bi-cultural model of integration. Our research provides the first empirical evidence identifying how various intersections of identity shape attitudes toward intercaste marriage in India and among the Indian diaspora in the US.Comment: 12 pages; Accepted to be published at ICWSM'1

Technology Integration around the Geographic Information: A State of the Art

One of the elements that have popularized and facilitated the use of geographical information on a variety of computational applications has been the use of Web maps; this has opened new research challenges on different subjects, from locating places and people, the study of social behavior or the analyzing of the hidden structures of the terms used in a natural language query used for locating a place. However, the use of geographic information under technological features is not new, instead it has been part of a development and technological integration process. This paper presents a state of the art review about the application of geographic information under different approaches: its use on location based services, the collaborative user participation on it, its contextual-awareness, its use in the Semantic Web and the challenges of its use in natural languge queries. Finally, a prototype that integrates most of these areas is presented

Ideas Matchmaking for Supporting Innovators and Entrepreneurs

Käesolevas töös esitletakse süsteemi, mis on võimeline sirvima veebist ettevõtluse ja tehnoloogiaga seotud andmeid, mida saab siduda kasutajate poolt Innovvoice platvormil välja pakutud ideedega. Selline teenus on ideabator platvormi väärtuslik osa, mis toetab ettevõtluse uuendajaid ja potentsiaalseid ettevõtjaid.In this paper we show a system able to crawl content from the Web related to entrepreneurship and technology, to be matched with ideas proposed by users in the Innovvoice platform. We argue that such a service is a valuable component of an ideabator platform, supporting innovators and possible entrepreneurs

Enabling Scalable Multi-channel Communication through Semantic Technologies

With the advance of the Web in the direction Social Media the number of communication possibilities has exponentially increased bringing new challenges and opportunities for companies to build and shape their reputation online as well as to engage and maintain the relationships to their customers. In this paper we describe how semantic technologies enable scalable, effective and efficient on-line communication. We illustrate four different ways in which semantics can be used for this purpose. First, we discuss semantic analysis of communication items based on 'classical' semantic, such as natural language processing. Second, we look at semantics as a channel, viewing Linked Open Data vocabularies not only as terminological assets but as communication channels. Third, semantics provide the methodologies and tools for content modeling by means of ontologies. Finally, semantics through semantic matchmaking enable semi-automatic assignment and distribution of content to channels and vice-versa

Innovations in Open Grantmaking

Grantmaking, in short, plays a vital role in helping our government, our researchers, and our communities confront 21st-century challenges. Despite grantmaking's importance, we have a decidedly 20th-century system in place for deciding how we make these billions of dollars of crucial public investments. To make the most of limited funding—and help build confidence in the ability of public investments to make a positive difference—it is essential for our government agencies to try more innovative approaches to designing, awarding, and measuring their grantmaking activities.Innovations in Open Grantmaking seeks to provide inspiration and early proof of concept regarding innovative practices at every stage of the grantmaking process. The examples and lessons included can act as suggested guidelines for future research and experimentation around more openly and effectively providing access to public money

A Comprehensive Classification of Business Activities in the Market of Intellectual Property Rights-related Services

Technology and intellectual property markets have witnessed great developments in the last few decades. Due to intellectual property rights gaining more importance and technology companies opening up their innovation processes, a wide range of intellectual property rights related services have emerged in the last two decades. The goal of this research is to develop a comprehensive classification system of intellectual property rights related services (IPSC). The classification is created by applying an ontology engineering process. The IPSC consists of 72 various IPR services divided into six main categories (100 Legal Service; 200 IP Consulting; 300 Matchmaking and Trading; 400 IP Portfolio Processing; 500 IPR-related Financial Service; 600 IPR-related Communication Service). The implications of the thesis are directed to policy makers, technology transfer managers, C-level executives and innovation researchers. The IPSC enables practitioners and researchers to organize industry data that can be thereafter analyzed for better strategy and policy making. In addition, this contributes towards organizing a more transparent and single intellectual property market.:Acknowledgements I Abstract II Contents IV List of Figures VI List of Tables VII 1. Introduction 1 1.1. Introduction to Technology Markets 1 1.2. Explanation of Key Concepts 5 1.3. Research Questions and Goals 9 1.4. Readers Guide 13 2. Literature Review 15 2.1. Intellectual Property Markets State of the Art Review 15 2.2. Ontology Engineering State of the Art Review 22 3. Methodology 26 3.1. Methontology 26 3.2. Planning the IPSC 29 3.3. Specification 30 3.4. Conceptualization 31 3.5. Formalization 32 3.6. Integration 32 3.7. Evaluation 33 3.8. Documentation 33 3.9. Realization and Maintenance 33 4. Data description and collection framework 34 5. Applying Methontology 46 5.1. Knowledge Acquisition and Planning the IPSC 46 5.2. Specification 46 5.3. Conceptualization 47 5.4. Formalization 54 100 Legal Service 56 200 IP Consulting 60 300 Matchmaking and Trading 65 400 IP Portfolio Processing 72 500 IPR-related Financial Service 76 600 IPR-related Communication Service 81 5.5. Integration 86 5.6. Evaluation 95 5.7. Documentation 104 5.8. Realization and Maintenance of the IPSC 106 6. Interview Results and Further Discussions 108 6.1. Implications for Industry 108 6.2. Contributions of the IPSC 110 6.3. Limitations of the IPSC and Future Work 112 7. Conclusions 116 References 120 List of experts interviewed and the date of interview 129 Appendices 13

Artificial Socialization? How Artificial Intelligence Applications Can Shape A New Era of Employee Onboarding Practices

Onboarding has always emphasized personal contact with new employees. Excellent onboarding can, for instance, extend an employee's stay, and improve loyalty. Even in a physical setting, the onboarding process is demanding for the newcomer and the onboarding organization. However, COVID-19 has made this process even more challenging by forcing a rapid shift from offline to online organizational onboarding practices. Organizations are adopting new technologies, such as artificial intelligence (AI), to support work processes during the pandemic, which could shape a new era of work practices. However, it has not been studied how AI applications can or should support onboarding. Therefore, our research conducts a literature review on current onboarding practices and uses expert interviews to evaluate AI's potential and pitfalls for each action. We contribute to the literature by presenting a holistic state-of-the-art picture of onboarding practices and evaluating potential application areas of AI in the onboarding process