Special Issue "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 December 2017
Prof. Miltiadis D. Lytras
School of Business, Deree—The American College of Greece, 6 Gravias Street GR-153 42 Aghia Paraskevi Athens, Greece
Website | E-Mail
Phone: +30 210 600 9800
Interests: smart cities; innovation; big data research; data mining; analytics; emerging technologies; information systems; entrepreunership; technology enhanced learning; virtual reality; knowledge management
Strategy management involves understanding the forces and causes that explain performance differences between organizations and economies, a result of different stocks of knowledge-based resources and capabilities. These resources are key for achieving and sustaining and competitive advantage for companies, economies and societies.
The Big Data and Data Analytics is a new paradigm for the integration of Internet Technology in the human and machine contexts. Now, we are able to transform raw data that are massively produced by humans and machines in to knowledge and wisdom capable of supporting smart decision making, innovative services, new business models, innovation, and entrepreneurship.
Aims of the Special Issue:
The Special Issue will explore the role of knowledge management strategies and tools to enhance the power of big data and help decision makers in today’s competitive economy.
The Special Issue will analyze the relation of knowledge management, big data and information technology towards a deeper understanding of their impact on economies and societies today.
Topics of interest
- Big data analytics
- Challenges and trends in knowledge and creative economics
- Competitive strategy, knowledge-based view of the firm
- Data and e-commerce
- Ethical issues of big data
- Future skills of knowledge workers
- Human resource management, intellectual capital reporting
- Human/relational/social/organizational capital
- Innovation networks
- Innovation, knowledge management and leadership
- Intangible resources, sustainability, big data
- Knowledge economics and neuroeconomics
- Organizational learning, networked learning
- Product and process innovation, technology and innovation management
- Semantic big data
- Social networks, gamification
- Sustainability and organizational competitiveness
Dr. Miltiades D. Lytras
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Knowledge creation process and sustainable competitive advantage: The role of technological innovation capabilities
Abstract: This study examines the relationship between knowledge creation process and technological innovation capabilities, and analyzes their effect on firms’ sustainable competitive advantage using a
knowledge-based view theoretical framework. We conduct hierarchical linear regression and structural equation modeling analyses using survey data from 315 Chinese industrial firms to test the direct and indirect effects of the knowledge creation process on sustainable competitive advantage. Technological innovation capabilities – operationalized to reflect the dimensions of process innovation capability and product innovation capability – are used as the mediating variables for explaining the relationship between knowledge creation process and sustainable competitive advantage. The results confirm that the significance of the direct effect of knowledge creation process on sustainable competitive advantage is reduced when the indirect effect of knowledge creation process through technological innovation capabilities is included in a total effect model. Consequently, knowledge creation process favors the development of technological innovation capabilities and that both knowledge creation process and technological innovation capabilities for products and processes can lead to sustainable competitive advantage.
Title: Top Management Team’s Characteristics, Risk Perceptions and Strategic Decision Behavior- The Role of Mental mode and Psychological Ownership
Abstract: Strategicdecision making is a key factor for enterprise to sustain and develop. Moreover, the TMT (Top ManagementTeam) of enterprise is one important core of decision making. This studyemploys Structural Equation Model toanalyzequestionnaires among TMT’s characteristicsand risk perceptionsof the decisions making while testing the mental mode and psychological ownership between the moderating effects. We investigated 289 valid questionnaires of TMT in the China’s enterprises, and found TMT’s characteristics plays as mediating factor and are affected by risk perception and decision making. We also found mental mode and psychological ownership have the moderating effect between risk perception and decision making. This research concludes with a discussion of the theoretical and managerial implications for enterprise owner.