Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA. Jie Lu, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia. Nadia Nedjah, Department of Electronic Engineering, University of Rio de Janeiro, Rio de Janeiro, Brazil.
Ngoc Thanh Nguyen, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland. Jun Wang, Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong. Aneta Poniszewska-Marańda Lodz University of Technology, Poland Leonard Baroli Fukuoka Institute of Technology, Japan.
MichałPawlak Lodz University of Technology, Poland Nadeem Javaid COMSATS University Islamabad, Pakistan Markus Aleksy ABB AG Corporate Research Centre, Germany Omar Hussain University of New South Wales, Australia.
Multimedia Systems and Virtual Reality
Next Generation Wireless Networks
Semantic Web, Web Services and Data Integration
Security and Trusted Computing
Cloud Computing Services and Orchestration Tools
Rustem Dautov Università Federale di Kazan, Russia Giovanni Merlino Università di Messina, Italia Francesco Longo Università di Messina, Italia Dario Bruneo Università di Messina, Italia.
Parallel, Distributed and Multicore Computing
Systems for Biological and Medical Applications
Indian Institute of Information Technology Robin Singh Bhadoria, India Walter Legnani National Technological University, Eduardo Jaime Quel National Technological University, Argentina Andrea Malizia University of Rome Tor Vergata, Italy Pablo Ristori Institute of Scientific and Technical Research.
E-learning and Groupware Systems
Energy Aware Computing and Systems
मुहम्मद शरजील जावेद हफ़र अल बातिन विश्वविद्यालय, सउदी-अरबी मुहम्मद तलाल हसन COMSATS विश्वविद्यालय इस्लामाबाद, पाकिस्तान वसीम रज़ा विश्वविद्यालय लाहौर, पाकिस्तान। नदीम जावेद कॉमसैट यूनिवर्सिटिट इस्लामाबाद, पाकिस्तान यासिर जावेद होर टेग्नोलोजीकॉलेजेज, वीएई काशिफ सलीम किंग सऊद यूनिवर्सिटिट, सऊदी-अरबी हाई वांग सेंट मैरी यूनिवर्सिटिट, कनाडा।
Complex Systems and Software Modeling and Analytics
Multi-agent Systems, SLA Cloud and Social Computing
Smart Environments and Assistive Technologies
IoT, Semantics and Adaptive M2M/HCI Interfaces
FPGA Heterogeneous Architecture
Internet of Everything and Machine Learning Applications
The same issue arises with big data platforms: different programming, deployment and execution models, many different machine learning libraries and related APIs. Standards and techniques borrowed from SOA and Web services semantic areas can help obtain a common and machine-readable description of Cloud and Big Data offerings (resources, platform- and application-level services, libraries and their underlying API), thereby allowing automatic discovery, matching, and thus selection, mediation, end-to-end interoperability of Cloud services between multiple clouds and seamless scheduling of analytics across multiple Big Data platforms. This talk will illustrate in particular the results of the EU funded projects mOSAIC (http://www.mosaic-cloud.eu) and TOREADOR (http://www.toreador-project.eu).
Today's Distributed Systems for Efficient Digital Data Exchange and Sharing: A System Transition from Peer-to-Peer to Cloud Mis-Edge Computing. Abstract. With the recent increase in bandwidth for communication networks, the great improvement of computer processors and the spread of cloud computing, the exchange or sharing of various types and large amounts of data or digital content has become very active among a large number of users on a large scale. network represented by the Internet. For this, various distributed systems have been used so far and large system architecture has constantly changed according to the functions and purposes required in each period.
In this talk, we describe the historical changes and classifications of distributed systems used to search, exchange, store and share data deployed on networks, and their respective benefits. Tweets Analysis with Big Data Technology and Machine Learning to Evaluate Smart and Sustainable Urban Mobility. A machine learning-based methodology for automatic annotation and anonymization of privacy-related items in text documents.
Metadata of the chapter that will be visualized in SpringerLink
Abstract This research aimed to analyze the effect of corporate social responsibility (CSR) on firm value and how normative pressure moderates this relationship. The implication of this research is the importance that companies pay attention to CSR in increasing firm value and the importance of independent board pressure in strengthening the effect of CSR on firm value.
1 Introduction
Knowledge in a society is a new way of organizing work and managing the world that requires the development of sustainable competence [3]. In a community, the formation and equality of values among members becomes the main thing to create a common goal. Value formation describes a way of behavior, interaction, exchange of experiences based on social construction in a community [4].
Value co-creation in an economic context refers to the creation of utility value for the customer, where co-creation is a function of interaction [5]. Value co-creation is an interactive, creative and social process between stakeholders, initiated by organizations at different stages of the value creation process [6]. In the context of community-based knowledge, community-based communities can help realize a value creation process to acquire knowledge.
Value creation is a process that provides opportunities for continuous interactions, which the organization is willing to share. Much of the research on shared value creation is conducted from a business to consumer, or consumer to business perspective [3]. There are no studies that discuss the process of value formation in a community that aims to increase knowledge among its members.
This research is conceptual research that will discuss how the value formation process of community members with different professions who are members of a community to gain new knowledge to create an empowered and sustainable life.
2 Literature Review
Knowledge Based Society (KBS)
Social identity theory holds that part of one's self-concept depends on the importance and relevance placed on group membership belonging to individuals [12]. This theory suggests that individuals' pursuit of positive identity and appreciation influences the social comparison they make [13]. Someone who has a high social identity is able to defend their group, protect the status and interests of that group.
It will also lead people to have a positive perception of groups and promote a general positive attitude towards groups. If people in a community have a high level of social identity, it will create a smooth channel of knowledge so that the community will provide a lot of education to its members.
Value Co-creation
The values found in the community are able to form a parallel interaction so that the exchange of knowledge increases. Value creation can occur when members share the same beliefs, goals and identity, resulting in community engagement. Self-involvement can be achieved when all people have the same goals, feel comfortable with their community environment and the culture and institutional structure that supports effective governance.
Creating and utilizing values in a community goes a long way in creating a community that delivers sustainable benefits in the community. Value creation can also take place by adopting co-creation as a process of active and creative social partnership between communities. Value co-creation is an activity or process between members and the community so that they can contribute to each other.
Members will benefit from the knowledge and the community will continue to exist because their members work together to maintain and revitalize the community. Moreover, the result of co-creation is satisfaction, trust and loyalty that can sustain the community in a sustainable way. People who share the same thoughts, goals and culture will form a value that can promote the sharing and application of knowledge.
The shared values create new sources of information such as knowledge that can be adopted by all community members. That is, value creation is the desired goal of the organization, to help the organization understand the needs of its members. If value can be created, then this effort will support rapid learning, because experience among members is an effective way to create value.
3 Proposed Conceptual Model
OKSTrust
Trust can be gained through active communication and consistent interaction between members, with empathy for proactive behavior so they can share valuable resources to achieve mutually beneficial goals. This shows the dynamic nature of knowledge sharing between members of the community because each member adopts various strategies, such as cooperation, competition, compromise, accommodation and avoidance [19]. The sharing of knowledge between community members can create communities that have broad knowledge and can help community sustainability.
Firms engaged in business-to-business knowledge sharing must develop the ability and routine to understand and manage complex knowledge sharing across their boundaries. Knowledge sharing among members can be achieved, for example, through joint research and development, exchange of research information and. If members within a community are willing to share their best knowledge, this will create value that will support the community.
Cooperation means a balance between cooperation and competition in a community, its members work together to make better progress in the community. On the other hand, competition fosters antisocial attitudes such as the desire to win, position problems, unwillingness to maximize mutual benefits, lying and hostility. The concept of collapetition balances cooperative behavior and healthy competition such as working together to create value to achieve community goals.
Collective involvement can encourage group member interaction by sharing the behavior of positive elements such as affective characteristics, motivation, and that performance characteristics can be increased such as collective efficacy and potential for high groups. Engagement may identify each individual's goals with community goals, which in the later stages will override their desire to achieve more valuable community goals. A proactive attitude and responsive and cooperative members are expected to keep the community alive and a competitive member.
4 Conclusion and Future Research
Collective engagement is the construction of positive relationships among employees who can collectively express themselves psychologically, cognitively and emotionally in their work roles [21]. Collective engagement includes team spirit, they care about each other's needs and challenges, and feel like a complete team. Community members who participate will increase the sharing of information and knowledge, which can then create added value.
These values then form a community with members who share knowledge with each other to form a knowledge-based society.
