https://reunir.unir.net/handle/123456789/9757 2024-10-28T13:13:33Z 2024-10-28T13:13:33Z Saiz-Alvarez, José Manuel Coduras Martínez, Alicia Cuervo-Arango Martínez, Carlos https://reunir.unir.net/handle/123456789/9767 2020-01-28T12:24:38Z

An Entrepreneurial Well-being Model based on GEM Data for Spain Saiz-Alvarez, José Manuel; Coduras Martínez, Alicia; Cuervo-Arango Martínez, Carlos The Economics of Happiness is one of the research areas of greatest growth in recent years. Throughout this work, a venture based model in which satisfaction of Spanish entrepreneurs with their professional life is performed. We analyze the responses of 9,989 entrepreneurs using data from the Global Entrepreneurship Monitor (GEM), and six hypothesis are discussed. The results show that, for the Spanish case, there is a strong consistency in the results the opportunity entrepreneurs present greater satisfaction than necessity entrepreneurs. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-28T12:24:38Z No. of bitstreams: 1 ijimai20132_5_5_pdf_26415.pdf: 734577 bytes, checksum: cad303065c5a58d7d0013607dfdb11d3 (MD5); Made available in DSpace on 2020-01-28T12:24:38Z (GMT). No. of bitstreams: 1 ijimai20132_5_5_pdf_26415.pdf: 734577 bytes, checksum: cad303065c5a58d7d0013607dfdb11d3 (MD5)

Mochón, Francisco Rojas, Mariano https://reunir.unir.net/handle/123456789/9766 2020-09-23T13:39:05Z

Editor’s Note Mochón, Francisco; Rojas, Mariano The science of happiness is trans-disciplinary. Happiness is an experience human beings have and, in consequence, its understanding calls for knowledge from all disciplines which, in one way or the other, deal with all facets of human lives. Various disciplines have contributed to the development of the science of happiness; among them: Psychology, Sociology, Economics, Psychiatry and Neuroscience. Because happiness research deals with human being of flesh and blood, it requires high-level techniques to dealing with large information sets in order to extract that information which is relevant. In the study of happiness there are many observations –as many as persons in the world-, there are many variables, and there are many interrelations and synergies to take account of. In consequence, happiness research benefits from sophisticated models that allow for a better understanding of people’s happiness; without losing contact with what real human beings experience, it is important to use techniques that allow researchers to process all the information reaching for valuable conclusions. It is with this purpose that Computer Science has joined the other disciplines providing its calculation powerful tools to advance the study of happiness. It is therefore appropriate that The International Journal of Interactive Multimedia and Artificial Intelligence has decided to launch a special issue on happiness showing some of the potential contributions the discipline can make to happiness research. The research works presented in this issue cover various topics of interest, all related to potential contributions from Computer Science to the understanding of happiness and subjective well-being. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-28T11:27:14Z No. of bitstreams: 1 ijimai20132_5_0_pdf_20298.pdf: 143992 bytes, checksum: 68be0e0461e0b2aeffb7439210d69008 (MD5); Made available in DSpace on 2020-01-28T11:27:14Z (GMT). No. of bitstreams: 1 ijimai20132_5_0_pdf_20298.pdf: 143992 bytes, checksum: 68be0e0461e0b2aeffb7439210d69008 (MD5)

Rios-Aguilar, Sergio https://reunir.unir.net/handle/123456789/9765 2020-01-28T11:07:00Z

Intelligent Position Aware Mobile Services for Seamless and Non-Intrusive Clocking-in Rios-Aguilar, Sergio This paper analyzes the viability of the use of employees smartphones as a valid tool for companies in order to conduct presence control. A Mobile Location Aware Information System is also proposed for a non intrusive Presence Control using exclusively terminal-based reactive location technologies, meeting cost minimization, and universal access criteria. The focus is providing trust to the employees, so that they feel safe and in control of when the location data is gathered while satisfying the control needs of the employer. LAMS platform is a state-of-the-art framework for synchronous mobile location-aware content personalization, using A-GPS terminal-based/network assisted mobile positioning techniques and UAProf data processing at the origin server. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-28T11:07:00Z No. of bitstreams: 1 ijimai20132_5_6_pdf_10811.pdf: 521182 bytes, checksum: a0c934acf542b0227769e7af305ac6eb (MD5); Made available in DSpace on 2020-01-28T11:07:00Z (GMT). No. of bitstreams: 1 ijimai20132_5_6_pdf_10811.pdf: 521182 bytes, checksum: a0c934acf542b0227769e7af305ac6eb (MD5)

Saez, Yago Navarro, Carlos Mochon, Asuncion Isasi, Pedro https://reunir.unir.net/handle/123456789/9764 2020-01-28T10:19:18Z

A System for Personality and Happiness Detection Saez, Yago; Navarro, Carlos; Mochon, Asuncion; Isasi, Pedro This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), and classifying them into different personality categories. Although there is not a clear link between personality features and happiness, some correlations between them could be found in the future. In this work, we describe the platform developed, and as a proof of concept, we have used different sources of messages to see if common machine learning algorithms can be used for classifying different personality features and happiness. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-28T10:19:18Z No. of bitstreams: 1 ijimai20132_5_1_pdf_10736.pdf: 903987 bytes, checksum: c2fae33d288e83086fe9aff294791d19 (MD5); Made available in DSpace on 2020-01-28T10:19:18Z (GMT). No. of bitstreams: 1 ijimai20132_5_1_pdf_10736.pdf: 903987 bytes, checksum: c2fae33d288e83086fe9aff294791d19 (MD5)

Mochón, Francisco Sanjuán Martínez, Óscar https://reunir.unir.net/handle/123456789/9763 2021-04-20T13:32:57Z

A First Approach to the Implicit Measurement of Happiness in Latin America Through the Use of Social Networks Mochón, Francisco; Sanjuán Martínez, Óscar This research paper can be classified as pertaining to the group of empirical studies that try to measure subjective well-being. The article presents as its greatest contributions the use of a subjective measurement of well-being based on social networks for the Latin American setting, as well as its comparative analysis with another traditional method. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-28T10:03:13Z No. of bitstreams: 1 ijimai20132_5_2_pdf_14275.pdf: 523892 bytes, checksum: 9d82f03d9c264d5e2c3813631f27a9ea (MD5); Made available in DSpace on 2020-01-28T10:03:13Z (GMT). No. of bitstreams: 1 ijimai20132_5_2_pdf_14275.pdf: 523892 bytes, checksum: 9d82f03d9c264d5e2c3813631f27a9ea (MD5)

Rojas, Mariano Ibarra-López, Ignacio https://reunir.unir.net/handle/123456789/9760 2020-01-28T10:19:55Z

Happiness and Human Relations: The Role of Materialistic Values. An ABM Illustration Rojas, Mariano; Ibarra-López, Ignacio This paper argues that a person’s happiness must be understood as a phenomenon that emerges not only from her individual condition but also from her place in society. Understanding that a person is socially immersed implies giving a greater role to social interactions and social structure. The paper presents a simple model to take into consideration the role of human relations. An agent-based model (ABM) is used to illustrate the implementation of the model in understanding people’s happiness. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-27T13:13:51Z No. of bitstreams: 1 ijimai20132_5_3_pdf_38475.pdf: 460799 bytes, checksum: 5ad705b4692720d51f4a6ebd59ada3b9 (MD5); Made available in DSpace on 2020-01-27T13:13:51Z (GMT). No. of bitstreams: 1 ijimai20132_5_3_pdf_38475.pdf: 460799 bytes, checksum: 5ad705b4692720d51f4a6ebd59ada3b9 (MD5)

Cordobés, Héctor Fernández Anta, Antonio Chiroque, Luis F. Pérez, Fernando Redondo, Teófilo Santos, Agustín https://reunir.unir.net/handle/123456789/9759 2020-01-28T10:20:40Z

Graph-based Techniques for Topic Classification of Tweets in Spanish Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) selected terms from the input texts. In this work we present techniques based on graph similarity to classify short texts by topic. In our classifier we build graphs from the input texts, and then use properties of these graphs to classify them. We have tested the resulting algorithm by classifying Twitter messages in Spanish among a predefined set of topics, achieving more than 70% accuracy. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2020-01-27T12:59:10Z No. of bitstreams: 1 ijimai20132_5_4_pdf_17528.pdf: 604080 bytes, checksum: 8cad73f207270bccbcad22c5635250c8 (MD5); Made available in DSpace on 2020-01-27T12:59:10Z (GMT). No. of bitstreams: 1 ijimai20132_5_4_pdf_17528.pdf: 604080 bytes, checksum: 8cad73f207270bccbcad22c5635250c8 (MD5)