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Behavioural business : the psychology of decisions in economy, business and policy contexts / / Janneke Blijlevens, Meg Elkins, and Ananta Neelim, editors
Behavioural business : the psychology of decisions in economy, business and policy contexts / / Janneke Blijlevens, Meg Elkins, and Ananta Neelim, editors
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer, , [2023]
Descrizione fisica 1 online resource (VII, 222 p. 1 illus.)
Disciplina 658.403
Soggetto topico Decision making - Psychological aspects
Economics - Psychological aspects
Negocis
Comportament col·lectiu
Psicologia
Soggetto genere / forma Llibres electrònics
ISBN 981-19-5546-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1. Background -- Chapter 1. Behavioural Business: The Psychology of Decisions in Economic, Business and Policy Contexts -- Chapter 2. Introducing Behavioural Business -- Part 2. Concepts and Approaches -- Chapter 3. Culture and Economic Behaviour: Evidence From an Experimental-Behavioural Economics Research Programme -- Chapter 4. The Detective Mindset: Forensic Approaches to Detecting Behaviour -- Chapter 5. Gender in the Workplace -- Chapter 6. Behavioural Business Design -- Chapter 7. Behavioural Organisational Strategy -- Part 3. Applications -- Chapter 8. Charitable Giving for International Development: Insights from Behavioural Economics and Other Disciplines -- Chapter 9. Unite and Conquer? Behavioural Pitfalls in Australia’s Response to COVID-19 -- Chapter 10. Unlocking Creativity for Business Potential -- Chapter 11. Behavioural Aspects of Financial Advice -- Chapter 12. Behavioural Aspects of the Real Estate Market.
Record Nr. UNINA-9910686477703321
Singapore : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Blockchain technology and innovations in business processes / / Srikanta Patnaik [and three others], editors
Blockchain technology and innovations in business processes / / Srikanta Patnaik [and three others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (xiv, 237 pages) : illustrations
Disciplina 005.74
Collana Smart innovation, systems, and technologies
Soggetto topico Blockchains (Databases)
Business - Data processing
Business - Data processing - Security measures
Cadena de blocs (Bases de dades)
Negocis
Seguretat informàtica
Gestió de bases de dades
Soggetto genere / forma Llibres electrònics
ISBN 981-336-470-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Editorial -- Contents -- About the Editors -- 1 Introduction to Blockchain Evolution, Architecture and Application with Use Cases -- 1.1 Layman's Introduction to Blockchain -- 1.2 The Blockchain Technology -- 1.3 Types of Blockchain -- 1.4 Evolution of Blockchain -- 1.4.1 Blockchain 1.0: Programmable Money and Cryptocurrencies -- 1.4.2 Blockchain 2.0: Smart Contracts -- 1.4.3 Blockchain 3.0: Decentralised Web -- 1.5 Ledger System for Blockchain -- 1.5.1 Centralized Ledger Systems -- 1.5.2 Distributed Ledger Systems -- 1.6 Layers of Blockchain -- 1.6.1 Hardware or Infrastructure Layer -- 1.6.2 Data Layer -- 1.6.3 Network Layer -- 1.6.4 Consensus Layer -- 1.6.5 Application Layer -- 1.7 Use Cases and Applications of Blockchain -- 1.8 Development Tools for Blockchain -- 1.9 Summary -- References -- 2 Blockchain: A Technology in Search of Legitimacy -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Research Design and Methodology -- 2.4 Results -- 2.5 Discussion and Conclusion -- References -- 3 Using Blockchain in Intermittently Connected Network Environments -- 3.1 Introduction -- 3.2 Overview of Delay Tolerant Networks -- 3.2.1 Features -- 3.2.2 Architecture -- 3.2.3 Routing -- 3.2.4 Applications -- 3.3 Rudimentary Elements of Blockchain -- 3.3.1 Blocks -- 3.3.2 Transaction -- 3.3.3 Mining -- 3.3.4 Ethereum and Smart Contracts -- 3.4 Integration of Blockchain Technology with DTNs -- 3.4.1 System Components -- 3.4.2 Generation and Transmission of Shelter Needs -- 3.4.3 Need Validation and Creation of Local Blockchain -- 3.4.4 Block Conversion Through API -- 3.4.5 Mining Blocks and Deploying to Global Blockchain -- 3.5 Open Research Areas -- 3.6 Conclusion -- References -- 4 Slaying the Crypto Dragons: Towards a CryptoSure Trust Model for Crypto-economics -- 4.1 Introduction: Blockchain and the Right to Be Forgotten.
4.2 The New 'Crypto-economy'-A Fraudsters' Playground? -- 4.3 Blockchain: Sceptical ICT Professionalism and Legal Due Diligence -- 4.4 The Need for Trusted Third Parties and for Probative Electronic Evidence -- 4.5 Towards a CryptoSure Trust Model for Crypto-economics -- 4.6 Conclusions: Blockchain Versus Trust-The Expert Issues in Disputes Over Crypto Assets -- 5 Decentralized Governance for Smart Contract Platform Enabling Mobile Lite Wallets Using a Proof-of-Stake Consensus Algorithm -- 5.1 Introduction -- 5.2 Preliminaries for Qtum Decentralized Blockchain Governance -- 5.3 Qtum Basic Requirement Sets for Decentralized Governance -- 5.3.1 UTXO Versus Account Model -- 5.3.2 Consensus Management -- 5.3.3 Mutualized Proof-of-Stake -- 5.3.4 AAL and EVM Integration -- 5.4 Scalability Extension of the Virtual Machine Through Decentralized Governance -- 5.4.1 Qtum Transaction Processing Using Virtual Machine -- 5.4.2 Decentralised Governance Protocol -- 5.5 Qtum Account Abstraction Layer -- 5.6 Discussion of the Technical Governance Realization -- 5.6.1 Hard fork Update -- 5.6.2 Qtum X86 Virtual Machine -- 5.7 Conclusions -- References -- 6 Blockchain Technology: Security and Privacy Issues -- 6.1 Introduction -- 6.2 Distributed Ledger Technology -- 6.2.1 Blockchain Benefits -- 6.2.2 How Blockchain Works -- 6.2.3 Consensus Algorithms -- 6.3 Blockchain Pros and Cons -- 6.4 Applications of Blockchain -- 6.4.1 Blockchain 1.0 -- 6.4.2 Blockchain 2.0 -- 6.5 Blockchain Security Issues -- 6.5.1 Cryptojacking Attacks -- 6.5.2 51% Attack -- 6.5.3 Smart Contract Attacks -- 6.6 Discussion -- 6.6.1 Voting and Blockchain -- 6.6.2 Energy and Blockchain -- 6.6.3 Web 3.0 and Blockchain -- 6.7 Conclusions -- References -- 7 Personal Data Protection in Blockchain with Zero-Knowledge Proof -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Background About Blockchain.
7.4 Personal Data Protection and Blockchain -- 7.5 Zero-Knowledge Proof on Blockchain -- 7.5.1 Zerocoin Protocol -- 7.5.2 Zerocash Protocol -- 7.5.3 Zcash and Zk-SNARK -- 7.6 Conclusion -- References -- 8 Design and Verification of Privacy Patterns for Business Process Models -- 8.1 Introduction -- 8.2 A Privacy-Aware System Using Blockchain -- 8.2.1 Scenario: A Cloud-Based Order System -- 8.3 GDPR Verification -- 8.3.1 Design Time Verification -- 8.3.2 Runtime Verification -- 8.4 Experimental Results -- 8.4.1 Evaluation of Design Time Verification -- 8.4.2 Evaluation of Runtime Verification -- 8.5 Conclusion -- References -- 9 Blockchain Technology in Energy Field: Opportunities and Challenges -- 9.1 Introduction -- 9.2 Blockchain Solutions for Energy Internet -- 9.3 Application Scenarios of Blockchain Technology in the Energy Industry -- 9.4 Challenges -- 9.5 Conclusions -- References -- 10 BlockChainTechnology for Energy Transition -- 10.1 Introduction -- 10.2 What Is the "Energy Transition"? -- 10.2.1 Business Models in the Energy Sector -- 10.2.2 New Business Models for Energy Transition -- 10.3 BlockChain and Smart Contracts in the Energy Sector -- 10.3.1 Types of Applications of BlockChain and Smart Contracts in the Energy Sector -- 10.3.2 New Business Models Enabled by BlockChain in the Energy Market -- 10.3.3 Risks and Issues Related to BlockChain and Smart Contracts -- 10.4 The Framework -- 10.4.1 The Business Model Canvas -- 10.4.2 The Use Case Selection -- 10.4.3 Impact Analysis of the Two Selected Use Cases -- 10.4.4 The Business Models for the Use Cases -- 10.4.5 Microgrid Business Model (Elaborated After the Workshop) -- 10.4.6 Discussion of the Results -- 10.5 Current Trends and Future Scenarios -- 10.5.1 P2P Distributed Energy Trading for Residential Microgrids.
10.5.2 Bridging Industrial and Residential Microgrids Through Electric Vehicles -- 10.6 Conclusions -- References -- 11 The Feasibility and Significance of Employing Blockchain-Based Identity Solutions in Health Care -- 11.1 Introduction -- 11.2 A Brief History of Identities in the Digital Age -- 11.2.1 Fully Centralized Identity Management -- 11.2.2 Federated Identity Management -- 11.2.3 User-Centric Identity Management -- 11.3 The Main Ideas Behind Decentralized Identity Management -- 11.3.1 Decentralized Identifier Based on Blockchain -- 11.3.2 Zero-Knowledge Proof -- 11.3.3 Decentralized Blockchains and the Internet -- 11.4 The Technical Architecture of Decentralized Identity Management -- 11.4.1 Architecture Overview -- 11.4.2 Blockchain-Based DID Service -- 11.4.3 Standardization of DIDs -- 11.4.4 Examples of DID Frameworks -- 11.5 The Potential of Applying Blockchain-Based DID Solutions in Health Care -- 11.5.1 Addressing the Patient Mismatching Problem -- 11.5.2 Facilitating Patient Recruitment in Clinical Research Using DID -- 11.5.3 The Safer Use of Medical Devices -- 11.5.4 Limitations Facing Current Blockchain-Based DID Solutions -- 11.6 Conclusion -- References -- 12 Toward eHealth with Blockchain: Success Factors for Crowdfunding with ICOs -- 12.1 Introduction -- 12.2 Theoretical Background -- 12.2.1 eHealth -- 12.2.2 Initial Coin Offerings (ICOs) and Blockchain -- 12.2.3 Signaling Theory -- 12.3 Research Method -- 12.3.1 Related Work -- 12.4 Research Hypotheses -- 12.4.1 Data and Variables -- 12.5 Results and Discussion -- 12.5.1 Descriptive Statistics of the ICO Data -- 12.5.2 Multivariate Analysis of the Factors Influencing the Success -- 12.6 Discussion -- 12.7 Conclusion -- References -- 13 Blockchain Track and Trace System (BTTS) for Pharmaceutical Supply Chain -- 13.1 Introduction -- 13.2 Related Works.
13.3 Overview of Bitcoin, Blockchain Platforms and Smart Contracts -- 13.4 The Proposal Model -- 13.4.1 Structure of Blockchain Track and Trace System (BTTS) -- 13.4.2 The Proposed Smart Contracts -- 13.5 Conclusion and Future Works -- References.
Record Nr. UNINA-9910484502403321
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence for Business Analytics [[electronic resource] /] / edited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez
Computational Intelligence for Business Analytics [[electronic resource] /] / edited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (417 pages)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Business mathematics
Business information services
Computational Intelligence
Artificial Intelligence
Business Mathematics
IT in Business
Intel·ligència computacional
Negocis
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-73819-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multi-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market -- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality -- Comprehensive Minimum Cost Models Based on Consensus Measures -- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic -- Fuzzy logic-based approaches in supply chain risk management: a review.
Record Nr. UNINA-9910506383303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Debating Business School Legitimacy [[electronic resource] ] : Attacking, Rocking, and Defending the Status Quo / / edited by Anders Örtenblad, Riina Koris
Debating Business School Legitimacy [[electronic resource] ] : Attacking, Rocking, and Defending the Status Quo / / edited by Anders Örtenblad, Riina Koris
Autore Örtenblad Anders
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022
Descrizione fisica 1 online resource (337 pages)
Disciplina 650.0711
Collana Palgrave Debates in Business and Management
Soggetto topico Business
Management science
Education, Higher
Executives—Training of
Business ethics
Knowledge management
Business and Management
Higher Education
Management Education
Business Ethics
Knowledge Management
Educació superior
Gestió
Negocis
Soggetto genere / forma Llibres electrònics
ISBN 3-031-12725-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Background and introduction -- Chapter 1. Introducing the Debate on the Legitimacy of Business Schools (Riina Koris and Anders Örtenblad) -- Chapter 2. (De)legitimacy of Managerialism within Business Schools (Katariina Juusola). - Part II. Attacking status quo -- Chapter 3. Business Schools in Their Ideological Prison: Why Sustainability Challenge Is Our Next Legitimacy Crisis (Kimmo Alajoutsijärvi, Katariina Juusola, and Kerttu Kettunen) -- Chapter 4. The Reflexive Impotence and Neoliberal Neurosis of the Responsible Business School (Nikodemus Solitander) -- Chapter 5. Business School Burnout: Endangering Legitimacy on Pathological Pathways (Volker Rundshagen). - Part III. Rocking the boat of status quo, etc.
Record Nr. UNINA-9910647383703321
Örtenblad Anders  
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital Transformation in Business and Society [[electronic resource] ] : Theory and Cases / / edited by Babu George, Justin Paul
Digital Transformation in Business and Society [[electronic resource] ] : Theory and Cases / / edited by Babu George, Justin Paul
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2020
Descrizione fisica 1 online resource (XVII, 300 p. 12 illus.)
Disciplina 650
658.05
Soggetto topico Tecnologia de la informació
Dades massives
Gestió de la tecnologia
Màrqueting per Internet
Negocis
Information technology
Business—Data processing
Knowledge management
Leadership
Motivation research (Marketing)
Big data
Internet marketing
IT in Business
Knowledge Management
Business Strategy/Leadership
Consumer Behavior
Big Data
Online Marketing/Social Media
Soggetto genere / forma Llibres electrònics
ISBN 3-030-08277-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Human Flourishing in Smart Cities -- 3. On How Big Data Revolutionizes Knowledge Management -- 4. Social Media in Marketing Communications: A Synthesis of Successful Strategies for the Digital Generation -- 5. Social Media Technologies and Export Marketing -- 6. Data Analytics and Predictive Analytics: How Technology Fits into the Equation -- 7. Effective Engagement of Digital Natives in the Ever-Transforming Digital World -- 8. Robotics, Artificial Intelligence, and the Evolving Nature of Work -- 9. The Dark Side of Big Data: Personal Privacy, Data Security and Price Discrimination -- 10. Digital Finance for Financial inclusion and Inclusive Growth -- 11. Understanding Consumer Behavior in Technology Mediated Spaces -- 12. An Evaluation of the National Open Government Data (OGD) Portal of the United Arab Emirates -- 13. Artificial Intelligence and Robotics Technology in the Hospitality Industry: Current Applications and Future Trends -- 14. Risk Management in the Digital Era: The Case of Nigerian Banks -- 15. Digital Technology to Enhance Project Leadership Practice: The Case of Civil Construction -- 16. The Making of Data Driven Sustainable Smart City Communities in Holiday Destinations.
Record Nr. UNINA-9910367243203321
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Frontiers of business research in China
Frontiers of business research in China
Pubbl/distr/stampa [Beijing], : Higher Education Press [and] Springer-Verlag
Soggetto topico Industrial management - China
Industrial management
Negocis
Direcció d'empreses
Soggetto genere / forma Periodicals.
Revistes electròniques.
ISSN 1673-7431
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNINA-9910145604103321
[Beijing], : Higher Education Press [and] Springer-Verlag
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Frontiers of business research in China
Frontiers of business research in China
Pubbl/distr/stampa [Beijing], : Higher Education Press [and] Springer-Verlag
Soggetto topico Industrial management - China
Industrial management
Negocis
Direcció d'empreses
Soggetto genere / forma Periodicals.
Revistes electròniques.
ISSN 1673-7431
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNISA-996204858703316
[Beijing], : Higher Education Press [and] Springer-Verlag
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Guide to Supply Chain Management [[electronic resource] ] : An End to End Perspective / / by Colin Scott, Henriette Lundgren, Paul Thompson
Guide to Supply Chain Management [[electronic resource] ] : An End to End Perspective / / by Colin Scott, Henriette Lundgren, Paul Thompson
Autore Scott Colin (Colin D.).
Edizione [2nd ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVII, 208 p. 84 illus.)
Disciplina 658.7
Collana Management for Professionals
Soggetto topico Industrial procurement
Information technology
Business—Data processing
Organization
Planning
Procurement
IT in Business
Negocis
Logística industrial
Eficàcia organitzativa
Tecnologia de la informació
Soggetto genere / forma Llibres electrònics
ISBN 3-319-77185-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Supply Chain Management -- Guide to Plan in Supply Chain Management -- Guide to Source in Supply Chain Management -- Guide to Make in Supply Chain Management -- Guide to Deliver in Supply Chain Management -- Guide to Return in Supply Chain Management -- Guide to Strategy in Supply Chain Management -- Guide to People in Supply Chain Management.-Guide to Finance in Supply Chain Management -- Guide to Customer Service in Supply Chain Management -- Guide to Outsourcing in Supply Chain Management.
Record Nr. UNINA-9910298216303321
Scott Colin (Colin D.).  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
Autore Sallis James <1959->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (263 pages)
Disciplina 650.072
Collana Classroom Companion: Business
Soggetto topico Business - Decision making - Research
Business - Data processing - Research
Negocis
Presa de decisions
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-84421-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I: Designing the Study -- 1: Research Methods and Philosophy of Science -- 1.1 Introduction -- 1.2 Two Alternatives: Constructivism Vs. Positivism -- 1.3 Falsificationism, Theories, and Hypotheses -- 1.4 Decision Processes -- 1.4.1 Models of Decision-Making -- 1.4.2 Models of Politics and Power -- 1.4.3 Models of Ill-Defined Preferences and Fluid Participation -- 1.5 Summary -- References -- 2: The Research Process and Problem Formulation -- 2.1 Introduction -- 2.2 Problems, Opportunities, and Symptoms -- 2.3 The Research Purpose and Research Question(s) -- Example 2.1 -- Example 2.2 -- 2.4 The Research Process -- 2.5 Summary -- Reference -- 3: Research Design -- 3.1 Introduction -- 3.2 Exploratory Design -- 3.2.1 Focus Groups -- 3.2.2 Individual In-Depth Interviews -- 3.2.3 Other Techniques -- 3.3 Descriptive Design -- 3.3.1 Survey Research with Questionnaires -- 3.3.2 Observation and Diaries -- 3.4 Causal Design -- 3.4.1 True Experiments (Lab or Field) -- 3.4.2 Quasi-Experiments -- 3.4.3 Lab Experiments -- 3.4.4 Field Experiments -- 3.4.5 Internal and External Validity in Experiments -- 3.5 Choice of Research Design -- 3.5.1 Using Theory -- 3.6 Validity and Reliability -- 3.7 Summary -- Reference -- Part II: Data Collection -- 4: Secondary Data and Observation -- 4.1 Introduction -- 4.2 Main Types of Secondary Data -- 4.3 Internal and External Sources -- 4.3.1 Big Data -- 4.3.2 Public Sources -- 4.3.3 Scholarly Literature -- 4.3.4 Standardized Research Services -- What Do We Mean by Standardization? -- Standardized Panel Data -- 4.4 Sources of Error in Secondary Data -- 4.5 Collecting Data by Observation -- 4.5.1 Types of Observation -- 4.5.2 Measuring Emotions by Observation -- 4.5.3 Using the Observation Method -- 4.6 Summary -- Reference -- 5: Qualitative Methods -- 5.1 Introduction -- 5.2 Focus Groups.
5.3 Individual In-Depth Interviews -- 5.4 Projective Techniques -- 5.5 Content Analysis of Social Media -- 5.6 Problem Formulation and Qualitative Data Analysis -- Example 5.1 -- 5.7 Summary -- References -- 6: Questionnaire Surveys -- 6.1 Introduction -- 6.2 Constructs and Operationalization -- 6.3 Validity -- 6.3.1 Content Validity -- 6.3.2 Construct Validity -- 6.3.3 Face Validity -- 6.3.4 Statistical Conclusion Validity -- 6.4 Reliability -- 6.5 Measurement Scales -- 6.5.1 Parametric Versus Nonparametric Methods -- 6.6 Attitude and Perception Measurement -- 6.7 Scale Values -- 6.8 Question Formulation and Order -- 6.8.1 Question Design -- 6.8.2 Pre-test -- 6.9 Collecting the Data -- 6.9.1 Personal Interviews -- 6.9.2 Online Solutions -- 6.9.3 Telephone Interviews -- 6.9.4 Postal Surveys -- 6.10 Summary -- References -- 7: Sampling -- 7.1 Introduction -- 7.2 Define the Population and Sampling Frame -- 7.2.1 Sampling Frame -- 7.3 Sampling Method -- 7.3.1 Probability Samples -- 7.3.2 Non-probability Samples -- 7.4 Sample Size -- 7.5 Error Sources -- 7.5.1 Missing Observations -- 7.6 Summary -- References -- Part III: Quantitative Data Analysis -- 8: Simple Analysis Techniques -- 8.1 Introduction -- 8.2 Using Software -- 8.3 Simple Analysis Techniques -- 8.4 Cleaning the Data -- 8.5 Analytical Techniques for One Variable -- Example 8.1 Descriptive Statistics -- 8.6 Analytical Techniques for Relationships between Variables -- Example 8.2 -- 8.7 Summary -- References -- 9: Hypothesis Testing -- 9.1 Introduction -- 9.2 Hypothesis Tests and Error -- 9.3 The T-test -- Example 9.1 -- Example 9.2 -- Example 9.3 -- 9.4 Analysis of Variance: One-way ANOVA -- 9.5 Chi-square Test (Chi2) -- 9.6 Testing Correlation Coefficients -- 9.7 Summary -- 10: Regression Analysis -- 10.1 Introduction -- 10.2 Simple Regression Analysis.
10.3 Estimating Regression Parameters -- Example 10.1 -- Example 10.2 -- 10.4 The T-test -- Example 10.3 -- 10.5 Multiple Regression Analysis -- 10.6 Explained Variance -- 10.7 The ANOVA Table and F-test -- 10.8 Too Many or Too Few Independent Variables -- 10.9 Regression with Dummy Variables -- 10.10 Dummy Regression: An Alternative Analysis of Covariance ANCOVA -- 10.11 The Classic Assumptions of Multiple Regression -- 10.12 Summary -- References -- 11: Cluster Analysis and Segmentation -- 11.1 Introduction -- 11.2 Similarities Between Groups in the Data -- 11.3 Two Branches of Cluster Methods -- 11.4 Hierarchical Clustering -- 11.5 Non-hierarchical Clustering (K-Means) -- 11.6 Interpretation and Further Use of the Clusters -- 11.7 Summary -- 12: Factor Analysis -- 12.1 Introduction -- 12.2 Exploratory Factor Analysis -- 12.3 Principal Component Analysis -- 12.4 Running Exploratory Factor Analysis -- 12.5 Unidimensionality -- 12.6 Confirmatory Factor Analysis -- 12.7 Summary -- References -- Part IV: Reporting -- 13: Reporting Findings -- 13.1 Introduction -- 13.2 The Report -- 13.2.1 Writing Style -- 13.3 The Structure of a Research Report -- 13.3.1 Referencing -- 13.4 Implementation -- 13.5 Advice for Students -- 13.6 Summary -- Reference -- Index.
Record Nr. UNISA-996466410103316
Sallis James <1959->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]
Autore Sallis James <1959->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (263 pages)
Disciplina 650.072
Collana Classroom Companion: Business
Soggetto topico Business - Decision making - Research
Business - Data processing - Research
Negocis
Presa de decisions
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-84421-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I: Designing the Study -- 1: Research Methods and Philosophy of Science -- 1.1 Introduction -- 1.2 Two Alternatives: Constructivism Vs. Positivism -- 1.3 Falsificationism, Theories, and Hypotheses -- 1.4 Decision Processes -- 1.4.1 Models of Decision-Making -- 1.4.2 Models of Politics and Power -- 1.4.3 Models of Ill-Defined Preferences and Fluid Participation -- 1.5 Summary -- References -- 2: The Research Process and Problem Formulation -- 2.1 Introduction -- 2.2 Problems, Opportunities, and Symptoms -- 2.3 The Research Purpose and Research Question(s) -- Example 2.1 -- Example 2.2 -- 2.4 The Research Process -- 2.5 Summary -- Reference -- 3: Research Design -- 3.1 Introduction -- 3.2 Exploratory Design -- 3.2.1 Focus Groups -- 3.2.2 Individual In-Depth Interviews -- 3.2.3 Other Techniques -- 3.3 Descriptive Design -- 3.3.1 Survey Research with Questionnaires -- 3.3.2 Observation and Diaries -- 3.4 Causal Design -- 3.4.1 True Experiments (Lab or Field) -- 3.4.2 Quasi-Experiments -- 3.4.3 Lab Experiments -- 3.4.4 Field Experiments -- 3.4.5 Internal and External Validity in Experiments -- 3.5 Choice of Research Design -- 3.5.1 Using Theory -- 3.6 Validity and Reliability -- 3.7 Summary -- Reference -- Part II: Data Collection -- 4: Secondary Data and Observation -- 4.1 Introduction -- 4.2 Main Types of Secondary Data -- 4.3 Internal and External Sources -- 4.3.1 Big Data -- 4.3.2 Public Sources -- 4.3.3 Scholarly Literature -- 4.3.4 Standardized Research Services -- What Do We Mean by Standardization? -- Standardized Panel Data -- 4.4 Sources of Error in Secondary Data -- 4.5 Collecting Data by Observation -- 4.5.1 Types of Observation -- 4.5.2 Measuring Emotions by Observation -- 4.5.3 Using the Observation Method -- 4.6 Summary -- Reference -- 5: Qualitative Methods -- 5.1 Introduction -- 5.2 Focus Groups.
5.3 Individual In-Depth Interviews -- 5.4 Projective Techniques -- 5.5 Content Analysis of Social Media -- 5.6 Problem Formulation and Qualitative Data Analysis -- Example 5.1 -- 5.7 Summary -- References -- 6: Questionnaire Surveys -- 6.1 Introduction -- 6.2 Constructs and Operationalization -- 6.3 Validity -- 6.3.1 Content Validity -- 6.3.2 Construct Validity -- 6.3.3 Face Validity -- 6.3.4 Statistical Conclusion Validity -- 6.4 Reliability -- 6.5 Measurement Scales -- 6.5.1 Parametric Versus Nonparametric Methods -- 6.6 Attitude and Perception Measurement -- 6.7 Scale Values -- 6.8 Question Formulation and Order -- 6.8.1 Question Design -- 6.8.2 Pre-test -- 6.9 Collecting the Data -- 6.9.1 Personal Interviews -- 6.9.2 Online Solutions -- 6.9.3 Telephone Interviews -- 6.9.4 Postal Surveys -- 6.10 Summary -- References -- 7: Sampling -- 7.1 Introduction -- 7.2 Define the Population and Sampling Frame -- 7.2.1 Sampling Frame -- 7.3 Sampling Method -- 7.3.1 Probability Samples -- 7.3.2 Non-probability Samples -- 7.4 Sample Size -- 7.5 Error Sources -- 7.5.1 Missing Observations -- 7.6 Summary -- References -- Part III: Quantitative Data Analysis -- 8: Simple Analysis Techniques -- 8.1 Introduction -- 8.2 Using Software -- 8.3 Simple Analysis Techniques -- 8.4 Cleaning the Data -- 8.5 Analytical Techniques for One Variable -- Example 8.1 Descriptive Statistics -- 8.6 Analytical Techniques for Relationships between Variables -- Example 8.2 -- 8.7 Summary -- References -- 9: Hypothesis Testing -- 9.1 Introduction -- 9.2 Hypothesis Tests and Error -- 9.3 The T-test -- Example 9.1 -- Example 9.2 -- Example 9.3 -- 9.4 Analysis of Variance: One-way ANOVA -- 9.5 Chi-square Test (Chi2) -- 9.6 Testing Correlation Coefficients -- 9.7 Summary -- 10: Regression Analysis -- 10.1 Introduction -- 10.2 Simple Regression Analysis.
10.3 Estimating Regression Parameters -- Example 10.1 -- Example 10.2 -- 10.4 The T-test -- Example 10.3 -- 10.5 Multiple Regression Analysis -- 10.6 Explained Variance -- 10.7 The ANOVA Table and F-test -- 10.8 Too Many or Too Few Independent Variables -- 10.9 Regression with Dummy Variables -- 10.10 Dummy Regression: An Alternative Analysis of Covariance ANCOVA -- 10.11 The Classic Assumptions of Multiple Regression -- 10.12 Summary -- References -- 11: Cluster Analysis and Segmentation -- 11.1 Introduction -- 11.2 Similarities Between Groups in the Data -- 11.3 Two Branches of Cluster Methods -- 11.4 Hierarchical Clustering -- 11.5 Non-hierarchical Clustering (K-Means) -- 11.6 Interpretation and Further Use of the Clusters -- 11.7 Summary -- 12: Factor Analysis -- 12.1 Introduction -- 12.2 Exploratory Factor Analysis -- 12.3 Principal Component Analysis -- 12.4 Running Exploratory Factor Analysis -- 12.5 Unidimensionality -- 12.6 Confirmatory Factor Analysis -- 12.7 Summary -- References -- Part IV: Reporting -- 13: Reporting Findings -- 13.1 Introduction -- 13.2 The Report -- 13.2.1 Writing Style -- 13.3 The Structure of a Research Report -- 13.3.1 Referencing -- 13.4 Implementation -- 13.5 Advice for Students -- 13.6 Summary -- Reference -- Index.
Record Nr. UNINA-9910508484803321
Sallis James <1959->  
Cham, Switzerland : , : Springer, , [2021]
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