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Customer Loyalty and Brand Management

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ISBN: 9783039213351 9783039213368 Year: Pages: 122 DOI: 10.3390/books978-3-03921-336-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-12-09 11:49:15
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Loyalty is one of the main assets of a brand. In today’s markets, achieving and maintaining loyal customers has become an increasingly complex challenge for brands due to the widespread acceptance and adoption of diverse technologies by which customers communicate with brands. Customers use different channels (physical, web, apps, social media) to seek information about a brand, communicate with it, chat about the brand and purchase its products. Firms are thus continuously changing and adapting their processes to provide customers with agile communication channels and coherent, integrated brand experiences through the different channels in which customers are present. In this context, understanding how brand management can improve value co-creation and multichannel experience—among other issues—and contribute to improving a brand’s portfolio of loyal customers constitutes an area of special interest for academics and marketing professionals. This Special Issue explores new areas of customer loyalty and brand management, providing new insights into the field. Both concepts have evolved over the last decade to encompass such concepts and practices as brand image, experiences, multichannel context, multimedia platforms and value co-creation, as well as relational variables such as trust, engagement and identification (among others).

Public-Private Partnerships for Sustainable Development

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ISBN: 9783038978329 9783038978336 Year: Pages: 248 DOI: 10.3390/books978-3-03897-833-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Political Science
Added to DOAB on : 2019-04-25 16:37:17
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Voluntary sustainability standards (VSS) and other private governance instruments (e.g., Fair Trade, Forest Stewardship Council, Fair Wear Foundation, GLOBALGAP) are increasingly regulating global production processes and economic activities. VSS verify the compliance of products or production processes with sustainability standards. The importance of voluntary sustainability standards is now widely recognized. After being operational for more than two decades, they have established themselves as private governance instruments. This recognition is also exemplified by their integration in public regulatory approaches. Governments and international organizations are partnering with voluntary sustainability standards to pursue sustainable development policies. We witness the integration of VSS in the regulatory approaches of local and national governments in countries around the world, the integration of VSS in trade policies, the emergence of public–private initiatives to govern global supply chains, and the inclusion of private initiatives in experimentalist governance regimes. This Special Issue seeks to bring together research on the interface between private and public governance. We welcome contributions which analyze specific case studies on the emergence and development of these private–public interactions, the design of public–private governance, the effectiveness of these governance arrangements, and critical perspectives on the possibilities and limitations of such public–private forms of governance. We welcome multi-disciplinary perspectives including contributions from economics, political science, law, sociology, geography, and anthropology. Papers selected for this Special Issue are subject to a peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications.

Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness

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ISBN: 9783039280087 9783039280094 Year: Pages: 416 DOI: 10.3390/books978-3-03928-009-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Education
Added to DOAB on : 2020-01-07 09:21:22
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The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION: We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: Social Networks; Smart Education; Social Capital; Corporate Innovation; Disruptive Innovation; Knowledge integration; Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION: In this section, knowledge management and big data applications and systems are presented. Selective topic include: Crowdsourcing Analysis; Natural Language Processing; Data Governance; Knowledge Extraction; Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT: In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: Big Social Networks on Sustainable Economic Development; Business Intelligence

Keywords

innovation capability --- social capital --- knowledge creation --- human capital investment --- training --- education --- communication --- six sigma --- structural equation model --- leadership --- innovation performance --- knowledge sharing --- social capital --- project-based organization --- citizen-scientist --- climate change --- crowdsourcing --- MTurk --- social networks --- Twitter --- social networks --- big data --- big data analysis --- sustainable development --- text mining --- NLP --- technological information --- patent analysis --- text structure --- top management team --- strategic decision-making --- risk perception --- knowledge creation process --- process innovation capability --- product innovation capability --- sustainable competitive advantage --- data governance --- cloud computing --- cloud data governance --- taxonomy --- systematic review --- holistic --- text feature extraction --- patent analysis --- hybrid neural networks --- mechanical patent classification --- international technological collaboration --- IC manufacturing --- patent association analysis --- social network analysis --- collaboration network --- corporate sustainability --- business intelligence --- multi-dimensional data model --- key performance indicators --- knowledge assets --- knowledge embeddedness --- knowledge specificity --- disruptive innovation --- personalized business mode --- technology acceptance model --- user acceptance --- data analysis --- ontology design --- knowledge management --- heterogeneous architectures --- Big Data --- transformational training programs-TTP --- quality orientation of employees-QOE --- employee loyalty-EL --- universities --- Jordan --- administrative file --- administrative procedure --- sustainability --- open data --- linked data --- provenance --- RDF --- PROV-O --- P-PLAN --- big data --- visualizing --- intellectual structure --- big data environment --- co-citation network --- collaboration network --- sustainability --- bibliometric --- knowledge management --- keywords analysis --- intellectual structure --- emerging trends --- knowledge mapping --- new ventures --- internal social networks --- absorptive capacity --- innovation --- big data --- competitive advantage --- disruptive innovation --- human capital --- innovation --- knowledge management --- sustainability --- smart education --- social networks --- social media --- conceptual maturity model --- technology-enhanced learning process

Towards a Sustainable Management of Mine Wastes: Reprocessing, Reuse, Revalorization and Repository

Authors: ---
ISBN: 9783039281749 9783039281756 Year: Pages: 240 DOI: 10.3390/books978-3-03928-175-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mining and Metallurgy
Added to DOAB on : 2020-04-07 23:07:08
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The need for efficient and sustainable management methods of mine waste is continuously growing all around the world. These waste products often present serious management problems due to their more or less significant amounts and possible environmental threats. This Special Issue highlights the recent and new trends in sustainable mine waste management techniques. Currently, it is essential to sustainably manage mine waste, considering social, economic, environmental and technical aspects. In this Special Issue, insights related to the following issues are highlighted: the problems around mine waste, the fine characterization of mine waste, the latest available technical and environmental solutions to efficiently manage mine waste, including treatment and processing before disposal and high value element recovery, with the view of moving towards defining effective, low-cost and ecofriendly methods, the recycling of mine waste products as alternative resources in different sectors, and finally laboratory, pilot and/or industrial-scale studies related to these topics of research. Scientists and industry and governance stakeholders have to face these new challenges to find the best management practices for the future.

Keywords

copper tailings dump --- leaching --- pH --- mobility --- chemical species --- attenuation mechanisms --- aquatic systems --- Zgounder mine --- silver --- tailings --- low-grade silver ores --- flotation --- mineralogical characterization --- mine waste --- management --- sustainability --- bibliometric analysis --- systematic review --- valorisation --- mine waste --- soil washing --- heap leaching --- dump leaching --- mine drainage --- remediation --- acid mine drainage --- geographical information systems --- paste pH --- siderite --- multivariate analysis --- spatial mapping --- iron ore tailings --- iron recovery --- concrete composite admixtures --- reuse --- rheology --- microstructure --- flow behavior --- cemented paste backfill --- mixing --- recovering alkali --- Bayer red mud --- reaction kinetics --- magnesium oxide --- hydrotalcite-like compounds --- sustainable development --- tailings management --- industrial ecology --- sustainable resource management --- mining waste --- circular economy --- mine waste --- tailings --- gravity separation --- stamp mill --- historic tailings --- metals --- exploration --- economic potential --- LIBS --- core scanner --- acid mine drainage --- alkaline amendments --- cementitious amendments --- kinetic testing --- Joutel mine --- environmental mineralogy --- exploration --- contaminant --- geochemical behavior --- acid mine drainage --- mine tailings --- sulfides --- gold reprocessing --- desulfurization --- flotation --- kinetic test --- mining and mineral processing waste (MMPW) --- anthropogenic mineral resources (AMR) --- long-term storage --- supergene processes --- environmental damage --- loss and lost profits --- AMR processing --- n/a

Big Data Research for Social Sciences and Social Impact

Authors: --- ---
ISBN: 9783039282203 9783039282210 Year: Pages: 416 DOI: 10.3390/books978-3-03928-221-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Keywords

big data --- illegal accommodation --- institutional innovation --- transaction costs --- housing problem --- building stock management --- Hong Kong --- information diffusion --- community detection --- topic analysis --- sentiment analysis --- social networks --- Social network --- sustainable development --- review voting --- online community --- paradox --- smart citizens --- experimental cities --- smart cities --- technopolitics --- big data --- Barcelona --- data commons --- decision-makers --- policy --- GDPR --- big data --- social sciences --- decision-making --- data analyst --- filtering --- framing --- big data --- maturity model --- temporal analytics --- advanced business analytics --- big data analytic methods --- semantic network analysis --- framings --- NodeXL --- promising technology --- research frontier --- bibliometric analysis --- hype cycle --- technology platforms --- sustainable agri-food systems --- innovation in sustainable agriculture --- online data --- data mining --- TP organics --- big data research --- point of interests (POI) --- sustainability development --- spatial accessibility of residential public services --- Xiamen City --- big data --- sales prediction --- online word-of-mouth --- dynamic topic model --- product attributes --- back-propagation neural network --- systematic and replicable patent analysis method --- problem-solved concept --- context–problem network --- network data analysis --- sustainable wireless energy transmission technology --- big data analytics --- text mining --- association rule --- car review --- skills --- researchers --- early career --- text mining --- social media big data --- lbsn --- check-in density --- spatiotemporal analysis --- KDE --- GWR --- SDE --- Guangzhou --- educational data mining --- learning analytics --- machine learning --- big data --- prediction grades --- destination image --- user-generated content --- online travel review --- big data analytics --- opinion mining --- sentiment analysis --- resource optimisation --- place sustainability --- TripAdvisor --- Greek Attica --- opinion mining --- social media --- social networks --- sentiment analysis --- sentiment polarity classification --- social impact --- big data research --- information systems --- analytics --- decision making --- social sciences --- big data research --- social and humanistic computing --- social sciences --- social good --- social impact --- machine learning --- knowledge management --- web science --- data science --- social inclusive economic growth --- sustainability --- innovation --- innovation networks

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