This paper addresses the relation or influence between the role of marital status in happiness perception of Spanish entrepreneurs. The variables used in this work are C1 which refers to self-perception of happiness, F11 which refers to marital status and C11 referring to self-religious. Hypotheses refer to a greater perception of happiness if entrepreneurs are married, and also if they are religious. The data analysis was based on the information provided by the European Social Survey (ESS). This is a representative sample of the population over 15 years of age in approximately 30 European countries. It is collected biannually and in Spain, this action is taken by the Centro de Investigaciones Sociológicas (CIS). Since the sample has N= 185 members, and because of the Central Limit Theorem, the distributions can be considered to be behaving as usual, so the ANOVA test is also used. The main findings indicate that married people have a higher perception of happiness than widowers, separated people, divorced people and single. On the other hand, those who declare themselves religious feel happier than those who are not. Finally, it is mentioning the importance of this subject in a post-COVID era
This research is focused on Industry 4.0 or better known as the 4th industrial revolution. In the initial section, the proposition is to analyze how the implementation of sectoral collaboration, intellectual capital and public policies affect and influences the development of Industry 4.0 in technology-based firms in the Tijuana-San Diego area, then the problem statement, research questions, hypotheses, objectives and justification of the research were carried out. Afterwards, the research foundation was developed to support and validate the information from the theoretical and contextual framework. A survey of 45 questions was carried out and it was aimed at employees of technology-based companies, in which it seeks to know if the employees are aware of the variables we study and if new technologies are being implemented in their organization. The survey was conducted with a total of 384 employees using an online questionnaire. To validate the data in the SPSS program and find out if the questions have a high Cronbach’s Alpha. The analysis of the survey was carried out through a quantitative study to later have the conclusions of the research in general and be able to know if the employees know and apply the industry 4.0 Among the results the correlation of the study variables was confirmed.
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The study of clusters and Innovation Networks are issues that have grown in importance for SMEs in recent decades, however, there is limited information on how SMEs form alliances and work in networks, because it is at an early stage. In order to understand how SME’s interact in a dynamic context and what their innovation practices are, we present a conceptual framework. Research experiences are presented in innovation networks using the wine industry example, in order to illustrate the dynamics in this industry.
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This article analyses the Knowledge Management (KM) and Project Management (PM) practices of manufacturing firms based in Baja California to determine their level of importance in generating competitive advantage in the manufacturing sector in Baja California. Key questions researched in this paper are: 1) How is KM managed through information technologies and organisational systems, ensuring empirical and industrial success? and 2) How do PM strategies increase competitiveness in the Baja California manufacturing sector? The research analyses currently-implemented management systems used for improved KM and PM, based on knowledge and new advantage orientation. One of the limitations found in this research is that several firms do not adopt standardised policies relating to knowledge procurement and development. Although competitiveness is perceived as vital for organisations, the combination of KM and PM are not yet fully developed and integrated into organisational processes to increase competitiveness. It is found that KM and PM have influence and correlations with competitiveness.
Higher education has become a cornerstone in the arise of knowledge society conceptualization. This concept covers a new type of social configuration that puts knowledge as the main value in human interaction for future social and economic development and also as one of the main actions to improve in order to gain a better quality of life. In this paper we discuss the importance of this structure and its characteristics, then we focus in the need to generate a higher education curriculum that fits this emphasis in social development of a new knowledge-based society. Finally, we use complex systems simulation to analyze six agents including: 1) Students; 2) Teaching – Teachers; 3) Training plan – Teachers; 4) Scientific research, IT development, innovation and professional performance; 5) Management – Managers; and 6) Environment and relevance or External Agents and five variables for this study: 1) Teaching; 2) Extracurricular activities; 3) Research and development; 4) Management; and 5) Educational culture. The final goal is to propose a curriculum that includes a projection to create knowledge-based society from higher education as a main factor to achieve this objective.
Keywords: complex systems, higher education, knowledge-based curricula, distributed agency, FIS
Technology with situational awareness needs a lot of information of the environment to execute the correct task at the correct moment. Location of the user is typical information to achieve the goal. This work proposes a mobile application that enables the indoor location of smartphones using the potential infrastructure given by Wireless Local Area Networks. This infrastructure goes beyond GPS (Global Position System) where signal is weak or is not available for indoors. This application uses an alternative and unconventional method to indoor location using Wi-Fi RSSI fingerprinting as well as an estimation based on Type-2 fuzzy inference systems provided by the developed framework JT2FIS. Wi-Fi Fingerprinting creates a radio map of a given area based on the RSSI data from several access points (APs) and generates a set of RSSI data for a given zone location. Consequently Data Mining is required for clustering the obtained set of data and generating the structure of a Type-2 Mamdani (More)
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