Experimental and Quantitative Methods in Contemporary Economics
Computational Methods in Experimental Economics (CMEE) 2018 Conference
1st Edition
Published on 12. October 2019
IX, 379 pages
978-3-030-30251-1 (ISBN)
Description
Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
IX, 379 p. 87 illus., 48 illus. in color.
File size
8,66 MB
ISBN-13
978-3-030-30251-1 (9783030302511)
DOI
10.1007/978-3-030-30251-1
Schweitzer Classification
Other editions
Additional editions
Kesra Nermend | Malgorzata Latuszynska
Experimental and Quantitative Methods in Contemporary Economics
Computational Methods in Experimental Economics (CMEE) 2018 Conference
Book
10/2019
Springer
€192.59
Shipment within 7-9 days
Persons
Kesra Nermend is Professor at University of Szczecin (Poland), President of Center of Knowledge and Technology Transfer at University of Szczecin, and Head of the Department of Computational Methods in Experimental Economics in Institute of IT in Management in The Faculty of Economics and Management at University of Szczecin. He has authored and co-authored about 100 publications mainly in the area of using quantitative methods and tools for the analysis of economic phenomena.
Malgorzata Latuszynska is Professor and Head of the Department of Economic Processes Modelling and Simulation Methods and Vice-Dean for Student Affairs at Institute of IT in Management in The Faculty of Economics and Management, University of Szczecin. She is also Vice-president of Center of Knowledge and Technology Transfer at University of Szczecin. She is author and co-author of about 170 publications mainly from the scope of simulation methods and tools of computer science in economics, management and transport.
Content
1 - Preface [Seite 6]
2 - Contents [Seite 8]
3 - Theoretical Aspects of Contemporary Economics [Seite 11]
4 - 1 Some Remarks on Methodological Foundations of Unified Growth Theory [Seite 12]
4.1 - 1.1 Introduction [Seite 12]
4.2 - 1.2 Economic Growth and Development in the Theory of Economy [Seite 13]
4.3 - 1.3 Studies on Development and Growth in Economic History [Seite 16]
4.4 - 1.4 General Characteristics of the Unified Economic Growth Theory by Oded Galor [Seite 20]
4.5 - 1.5 Conclusion [Seite 22]
4.6 - References [Seite 23]
5 - 2 Innovative Technologies in the Process of Development of the Silver Economy [Seite 26]
5.1 - 2.1 Introduction [Seite 27]
5.2 - 2.2 The Essence of the Silver Economy [Seite 28]
5.3 - 2.3 Innovative Technology as a Challenge for Science [Seite 30]
5.4 - 2.4 Barriers to the Development of the Senior Economy [Seite 34]
5.5 - 2.5 Conclusion [Seite 36]
5.6 - References [Seite 36]
6 - 3 Possibilities of Measuring Sustainable Development-Selected Aspects [Seite 38]
6.1 - 3.1 Introduction [Seite 38]
6.2 - 3.2 Measurement of Sustainable Development-Introductory Issues [Seite 40]
6.3 - 3.3 International Systems of Sustainable Development Indicators [Seite 42]
6.4 - 3.4 Synthetic Indicators of Sustainable Development [Seite 44]
6.5 - 3.5 Difficulties in Measuring Sustainable Development [Seite 47]
6.6 - 3.6 Quantitative and Qualitative Methods Used in the Analysis and Forecasting of Sustainable Development [Seite 48]
6.7 - 3.7 Summary/Conclusions [Seite 51]
6.8 - References [Seite 52]
7 - 4 Designing Public Policy According to Achievements of Behavioural Economics [Seite 55]
7.1 - 4.1 Introduction [Seite 55]
7.2 - 4.2 Libertarian Paternalism and Nudging [Seite 56]
7.3 - 4.3 Principles of Creating Behavioural Public Policy [Seite 59]
7.4 - 4.4 Conclusion [Seite 62]
7.5 - References [Seite 63]
8 - 5 Application of Behavioral Economics Insights to Increase Effectiveness of Public Awareness Campaigns [Seite 66]
8.1 - 5.1 Introduction [Seite 66]
8.2 - 5.2 Behavioral Economics and Its Foundations [Seite 67]
8.3 - 5.3 Public Awareness Campaigns and Measurement of its Effectiveness [Seite 68]
8.4 - 5.4 Use of Methods of Behavioral Economics in Public Awareness Campaigns [Seite 70]
8.5 - 5.5 Conclusion [Seite 71]
8.6 - References [Seite 74]
9 - 6 Experimental Methods in Behavioural Economic Sciences [Seite 77]
9.1 - 6.1 Introduction [Seite 77]
9.2 - 6.2 New Research Methods in Social Sciences [Seite 78]
9.3 - 6.3 The Essence of Behavioural Economics, Finance and Accounting [Seite 79]
9.4 - 6.4 The Effect of Marriage Between Neuroscience and Behavioural Economics [Seite 80]
9.5 - 6.5 Types of Experimental Methods Used in Behavioural Economic Sciences [Seite 81]
9.6 - 6.6 Laboratory Experiments [Seite 82]
9.7 - 6.7 Simulation Experiments [Seite 84]
9.8 - 6.8 Field Experiments [Seite 84]
9.9 - 6.9 Neuromeasurement Methods [Seite 86]
9.10 - 6.10 Conclusions [Seite 88]
9.11 - References [Seite 89]
10 - 7 An Attempt of Knowledge Handling for Experimental Economics Domain [Seite 91]
10.1 - 7.1 Introduction [Seite 91]
10.2 - 7.2 Literature Review [Seite 92]
10.2.1 - 7.2.1 Knowledge Management Mechanisms [Seite 92]
10.2.2 - 7.2.2 Ontologies in Experimental Economics (Economy and Finance) [Seite 93]
10.3 - 7.3 Formal Foundations for Ontology for Experimental Economics Domain [Seite 94]
10.4 - 7.4 Ontological Representation for Experimental Economics Domain [Seite 99]
10.5 - 7.5 Conclusions [Seite 101]
10.6 - References [Seite 102]
11 - Application of Quantitative and Experimental Methods and Tools in Contemporary Economics [Seite 104]
12 - 8 Quantitative Methods in Real Estate Mass Appraisal [Seite 105]
12.1 - 8.1 Introduction [Seite 106]
12.2 - 8.2 Literature Review [Seite 106]
12.3 - 8.3 Methods [Seite 107]
12.4 - 8.4 Empirical Results [Seite 111]
12.5 - 8.5 Conclusions [Seite 117]
12.6 - References [Seite 117]
13 - 9 Application of the Survival Analysis Methods in Contemporary Economics on the Example of Unemployment [Seite 119]
13.1 - 9.1 Introduction [Seite 119]
13.2 - 9.2 Data Used in the Research [Seite 120]
13.3 - 9.3 Research Methodology [Seite 122]
13.4 - 9.4 Analysis of Probability and Intensity of Exit from Unemployment [Seite 126]
13.5 - 9.5 Conclusions [Seite 133]
13.6 - References [Seite 134]
14 - 10 Could the Volatility Be a Measure of Investors' Optimism? [Seite 136]
14.1 - 10.1 Introduction [Seite 137]
14.2 - 10.2 Behavioural Background of the Research [Seite 138]
14.3 - 10.3 Methodology of the Research [Seite 139]
14.4 - 10.4 Empirical Results [Seite 141]
14.5 - 10.5 Conclusions [Seite 143]
14.6 - Reference [Seite 144]
15 - 11 Factor Analysis of the Green Management in the Context of Poland Regions Sustainable Development [Seite 146]
15.1 - 11.1 Introduction [Seite 146]
15.2 - 11.2 Green Management as an Element of the Green Economy [Seite 147]
15.3 - 11.3 Research Methods [Seite 149]
15.4 - 11.4 Results [Seite 150]
15.5 - 11.5 Conclusions [Seite 157]
15.6 - References [Seite 158]
16 - 12 ESG Risk Perception in Sustainable Financial Decisions. Quantitative Methods Perspective [Seite 160]
16.1 - 12.1 Introduction [Seite 161]
16.2 - 12.2 ESG Factors Incorporated in Risk Assessment Toward Sustainable Financial Decisions [Seite 162]
16.3 - 12.3 Quantitative Methods Used in ESG Risk Assessment [Seite 163]
16.4 - 12.4 Conclusions [Seite 171]
16.5 - References [Seite 172]
17 - 13 Purchase Decision Support with Internet of Things-Based Systems [Seite 176]
17.1 - 13.1 Introduction [Seite 176]
17.2 - 13.2 Purchase Decision Support [Seite 178]
17.3 - 13.3 Implementation of IoT in Purchase Decision Support [Seite 179]
17.3.1 - 13.3.1 Purchase Decision Support System [Seite 180]
17.3.2 - 13.3.2 Employing Data from the IoT-Based System to Stimulate Desired Shopping Decisions [Seite 182]
17.3.3 - 13.3.3 The Functions of Customer Assistance Systems and Automatic Identification Technologies in Customer Support Solutions [Seite 183]
17.4 - 13.4 Conclusions [Seite 187]
17.5 - References [Seite 187]
18 - 14 Application of EEG Metrics in the Decision-Making Process [Seite 189]
18.1 - 14.1 Introduction [Seite 189]
18.2 - 14.2 Limitations in the Applicability of Selected Multi-Criteria Methods [Seite 191]
18.3 - 14.3 EEG as a Measuring Technique [Seite 193]
18.4 - 14.4 The Metrics Used in Decisions Making [Seite 194]
18.4.1 - 14.4.1 Frontal Asymmetry [Seite 194]
18.4.2 - 14.4.2 Engagement [Seite 195]
18.4.3 - 14.4.3 Distraction [Seite 196]
18.4.4 - 14.4.4 Workload [Seite 196]
18.5 - 14.5 Conclusions [Seite 197]
18.6 - References [Seite 198]
19 - 15 Examining the Degree of Engagement of a Participant in Economic Games Using Cognitive Neuroscience Techniques [Seite 202]
19.1 - 15.1 Introduction [Seite 202]
19.2 - 15.2 Proposal for a Test Procedure [Seite 204]
19.3 - 15.3 Questionnaire Survey [Seite 206]
19.4 - 15.4 The Conception of the Economic Game [Seite 208]
19.5 - 15.5 Study of EEG [Seite 214]
19.6 - 15.6 Examining Procedure [Seite 216]
19.7 - 15.7 Conclusions [Seite 216]
19.8 - References [Seite 217]
20 - 16 Simulation Modeling to Verify the Efficiency of Information Transfer [Seite 218]
20.1 - 16.1 Introduction [Seite 218]
20.2 - 16.2 Communication and Networks [Seite 220]
20.3 - 16.3 ATENA Communication Model [Seite 221]
20.4 - 16.4 Measures for Communication Processes [Seite 223]
20.5 - 16.5 Graph Model-Theoretical Assumptions [Seite 223]
20.6 - 16.6 Results [Seite 226]
20.7 - 16.7 Conclusions [Seite 227]
20.8 - References [Seite 229]
21 - 17 Hybrid System Dynamics-Agent-Based Simulation for Research in Economics and Business [Seite 230]
21.1 - 17.1 Introduction [Seite 231]
21.2 - 17.2 System Dynamics Versus Agent-Based Simulation [Seite 231]
21.3 - 17.3 Linking SD and ABS [Seite 233]
21.4 - 17.4 Hybrid Simulation for Research in Economics and Business-A Literature Review [Seite 239]
21.5 - 17.5 Conclusion [Seite 241]
21.6 - References [Seite 244]
22 - Practical Issues-Case Studies [Seite 250]
23 - 18 Measuring Neurophysiological Signals, Fixations and Self-report Data for Product Placement Effectiveness Assessment in Music Videos [Seite 251]
23.1 - 18.1 Introduction [Seite 252]
23.2 - 18.2 Methodology and Sample [Seite 253]
23.2.1 - 18.2.1 EEG Recording and Signal Processing [Seite 254]
23.2.2 - 18.2.2 The Autonomic Data Recordings and Signal Processing [Seite 255]
23.2.3 - 18.2.3 Eye Tracker Recordings and Signal Processing [Seite 255]
23.2.4 - 18.2.4 Data Analysis [Seite 256]
23.3 - 18.3 Results [Seite 256]
23.3.1 - 18.3.1 Eye Fixations and Recall of Products [Seite 256]
23.3.2 - 18.3.2 Spontaneous Recall of Videos: Product Placement Videos Versus Non-product Placement Videos [Seite 258]
23.3.3 - 18.3.3 Mental Effort: Product Placement Videos Versus Non-product Placement Videos [Seite 258]
23.3.4 - 18.3.4 Emotion Engagement: Product Placement Videos Versus Non-product Placement Videos [Seite 260]
23.4 - 18.4 Discussion [Seite 260]
23.5 - 18.5 Conclusion [Seite 261]
23.6 - References [Seite 261]
24 - 19 Objective and Subjective Perception of Real Estate Features in the Light of an Experimental Study [Seite 264]
24.1 - 19.1 Introduction [Seite 264]
24.2 - 19.2 Literature Review [Seite 265]
24.3 - 19.3 Scope of Data and Organization of the Study [Seite 267]
24.4 - 19.4 Test Results [Seite 269]
24.5 - 19.5 Conclusions [Seite 272]
24.6 - References [Seite 273]
25 - 20 Optimization of Location Attractiveness Zones for the Purpose of Property Mass Appraisal [Seite 275]
25.1 - 20.1 Introduction [Seite 276]
25.2 - 20.2 Location Attractiveness Zones [Seite 277]
25.3 - 20.3 Source Data and Research Assumptions [Seite 279]
25.4 - 20.4 Research and Results [Seite 280]
25.5 - 20.5 Conclusions [Seite 285]
25.6 - References [Seite 285]
26 - 21 Market Timing Models for Equity Funds Operating on the Polish Market in the Years 2003-2017 [Seite 288]
26.1 - 21.1 Introduction [Seite 289]
26.2 - 21.2 Literature Review [Seite 290]
26.3 - 21.3 Models of Portfolio Investment Management Skills [Seite 291]
26.4 - 21.4 Methodical Assumptions [Seite 292]
26.4.1 - 21.4.1 Research Results in 2003-2017 [Seite 293]
26.4.2 - 21.4.2 Research Results in Five-Year Periods [Seite 295]
26.4.3 - 21.4.3 Research Results in Two-Year Periods [Seite 298]
26.5 - 21.5 Conclusion [Seite 303]
26.6 - References [Seite 305]
27 - 22 Identification of EU Countries Due to the Quality of Data on Intra-Community Supplies of Goods Shipped from Poland in the Years 2005-2017 [Seite 307]
27.1 - 22.1 Introduction [Seite 308]
27.2 - 22.2 The Need and Ways of Identifying Irregularities in Mirror Data-Literature Review [Seite 309]
27.3 - 22.3 Analysis Framework [Seite 310]
27.4 - 22.4 Data and Methodology [Seite 313]
27.5 - 22.5 Quality of Data on Poland's Intra-Community Supplies by EU Member States-Research Results [Seite 314]
27.6 - 22.6 Conclusions [Seite 317]
27.7 - References [Seite 318]
28 - 23 Measuring the Provision of Access to Sustainable Energy in the EU as a New Task of Modern Economics in Line with Agenda 2030 [Seite 319]
28.1 - 23.1 Introduction [Seite 320]
28.2 - 23.2 Outline of the Issues [Seite 321]
28.3 - 23.3 Research Methods [Seite 322]
28.4 - 23.4 Results [Seite 324]
28.5 - 23.5 Conclusions [Seite 327]
28.6 - References [Seite 329]
29 - 24 Pilot Study as a Case of Applying an Experimental Approach to the Implementation of Tasks in the Public Sector [Seite 331]
29.1 - 24.1 Introduction [Seite 331]
29.2 - 24.2 Development of the Concept of Implementation of Public Tasks in Public Sector Units [Seite 333]
29.3 - 24.3 Piloting as an Expression of Practical Application of the Expected Utility Theory in PSU Decisions [Seite 334]
29.4 - 24.4 Example of Practical Application [Seite 338]
29.4.1 - 24.4.1 Scientific Approach [Seite 338]
29.4.2 - 24.4.2 Findings and Discussion [Seite 339]
29.5 - 24.5 Conclusions [Seite 344]
29.6 - References [Seite 345]
30 - 25 What Really Helps Us Make a Choice? An Experimental Evaluation of AHP [Seite 348]
30.1 - 25.1 Introduction [Seite 349]
30.2 - 25.2 Literature Review [Seite 350]
30.3 - 25.3 Experimental Procedure [Seite 351]
30.4 - 25.4 Results [Seite 353]
30.5 - 25.5 Discussion and Conclusions [Seite 356]
30.6 - References [Seite 357]
31 - 26 Declared Preference Method-Research Experiment Concerning Air Quality [Seite 359]
31.1 - 26.1 Introduction [Seite 359]
31.2 - 26.2 Public Goods and Issues of Demand and Supply: Literature Review [Seite 361]
31.3 - 26.3 Methodology and Data [Seite 362]
31.4 - 26.4 Results of the Survey [Seite 365]
31.4.1 - 26.4.1 Declared Preference Ranking (Including Social Circumstances) [Seite 365]
31.4.2 - 26.4.2 Analysis of the Willingness to Pay for a Public Good and Socio-economic Aspects [Seite 368]
31.4.3 - 26.4.3 Assessment of Decisions Efficiency Understood as an Ability to Achieve the Goal [Seite 369]
31.5 - 26.5 Discussion [Seite 371]
31.6 - 26.6 Conclusions [Seite 372]
31.7 - References [Seite 372]
2 - Contents [Seite 8]
3 - Theoretical Aspects of Contemporary Economics [Seite 11]
4 - 1 Some Remarks on Methodological Foundations of Unified Growth Theory [Seite 12]
4.1 - 1.1 Introduction [Seite 12]
4.2 - 1.2 Economic Growth and Development in the Theory of Economy [Seite 13]
4.3 - 1.3 Studies on Development and Growth in Economic History [Seite 16]
4.4 - 1.4 General Characteristics of the Unified Economic Growth Theory by Oded Galor [Seite 20]
4.5 - 1.5 Conclusion [Seite 22]
4.6 - References [Seite 23]
5 - 2 Innovative Technologies in the Process of Development of the Silver Economy [Seite 26]
5.1 - 2.1 Introduction [Seite 27]
5.2 - 2.2 The Essence of the Silver Economy [Seite 28]
5.3 - 2.3 Innovative Technology as a Challenge for Science [Seite 30]
5.4 - 2.4 Barriers to the Development of the Senior Economy [Seite 34]
5.5 - 2.5 Conclusion [Seite 36]
5.6 - References [Seite 36]
6 - 3 Possibilities of Measuring Sustainable Development-Selected Aspects [Seite 38]
6.1 - 3.1 Introduction [Seite 38]
6.2 - 3.2 Measurement of Sustainable Development-Introductory Issues [Seite 40]
6.3 - 3.3 International Systems of Sustainable Development Indicators [Seite 42]
6.4 - 3.4 Synthetic Indicators of Sustainable Development [Seite 44]
6.5 - 3.5 Difficulties in Measuring Sustainable Development [Seite 47]
6.6 - 3.6 Quantitative and Qualitative Methods Used in the Analysis and Forecasting of Sustainable Development [Seite 48]
6.7 - 3.7 Summary/Conclusions [Seite 51]
6.8 - References [Seite 52]
7 - 4 Designing Public Policy According to Achievements of Behavioural Economics [Seite 55]
7.1 - 4.1 Introduction [Seite 55]
7.2 - 4.2 Libertarian Paternalism and Nudging [Seite 56]
7.3 - 4.3 Principles of Creating Behavioural Public Policy [Seite 59]
7.4 - 4.4 Conclusion [Seite 62]
7.5 - References [Seite 63]
8 - 5 Application of Behavioral Economics Insights to Increase Effectiveness of Public Awareness Campaigns [Seite 66]
8.1 - 5.1 Introduction [Seite 66]
8.2 - 5.2 Behavioral Economics and Its Foundations [Seite 67]
8.3 - 5.3 Public Awareness Campaigns and Measurement of its Effectiveness [Seite 68]
8.4 - 5.4 Use of Methods of Behavioral Economics in Public Awareness Campaigns [Seite 70]
8.5 - 5.5 Conclusion [Seite 71]
8.6 - References [Seite 74]
9 - 6 Experimental Methods in Behavioural Economic Sciences [Seite 77]
9.1 - 6.1 Introduction [Seite 77]
9.2 - 6.2 New Research Methods in Social Sciences [Seite 78]
9.3 - 6.3 The Essence of Behavioural Economics, Finance and Accounting [Seite 79]
9.4 - 6.4 The Effect of Marriage Between Neuroscience and Behavioural Economics [Seite 80]
9.5 - 6.5 Types of Experimental Methods Used in Behavioural Economic Sciences [Seite 81]
9.6 - 6.6 Laboratory Experiments [Seite 82]
9.7 - 6.7 Simulation Experiments [Seite 84]
9.8 - 6.8 Field Experiments [Seite 84]
9.9 - 6.9 Neuromeasurement Methods [Seite 86]
9.10 - 6.10 Conclusions [Seite 88]
9.11 - References [Seite 89]
10 - 7 An Attempt of Knowledge Handling for Experimental Economics Domain [Seite 91]
10.1 - 7.1 Introduction [Seite 91]
10.2 - 7.2 Literature Review [Seite 92]
10.2.1 - 7.2.1 Knowledge Management Mechanisms [Seite 92]
10.2.2 - 7.2.2 Ontologies in Experimental Economics (Economy and Finance) [Seite 93]
10.3 - 7.3 Formal Foundations for Ontology for Experimental Economics Domain [Seite 94]
10.4 - 7.4 Ontological Representation for Experimental Economics Domain [Seite 99]
10.5 - 7.5 Conclusions [Seite 101]
10.6 - References [Seite 102]
11 - Application of Quantitative and Experimental Methods and Tools in Contemporary Economics [Seite 104]
12 - 8 Quantitative Methods in Real Estate Mass Appraisal [Seite 105]
12.1 - 8.1 Introduction [Seite 106]
12.2 - 8.2 Literature Review [Seite 106]
12.3 - 8.3 Methods [Seite 107]
12.4 - 8.4 Empirical Results [Seite 111]
12.5 - 8.5 Conclusions [Seite 117]
12.6 - References [Seite 117]
13 - 9 Application of the Survival Analysis Methods in Contemporary Economics on the Example of Unemployment [Seite 119]
13.1 - 9.1 Introduction [Seite 119]
13.2 - 9.2 Data Used in the Research [Seite 120]
13.3 - 9.3 Research Methodology [Seite 122]
13.4 - 9.4 Analysis of Probability and Intensity of Exit from Unemployment [Seite 126]
13.5 - 9.5 Conclusions [Seite 133]
13.6 - References [Seite 134]
14 - 10 Could the Volatility Be a Measure of Investors' Optimism? [Seite 136]
14.1 - 10.1 Introduction [Seite 137]
14.2 - 10.2 Behavioural Background of the Research [Seite 138]
14.3 - 10.3 Methodology of the Research [Seite 139]
14.4 - 10.4 Empirical Results [Seite 141]
14.5 - 10.5 Conclusions [Seite 143]
14.6 - Reference [Seite 144]
15 - 11 Factor Analysis of the Green Management in the Context of Poland Regions Sustainable Development [Seite 146]
15.1 - 11.1 Introduction [Seite 146]
15.2 - 11.2 Green Management as an Element of the Green Economy [Seite 147]
15.3 - 11.3 Research Methods [Seite 149]
15.4 - 11.4 Results [Seite 150]
15.5 - 11.5 Conclusions [Seite 157]
15.6 - References [Seite 158]
16 - 12 ESG Risk Perception in Sustainable Financial Decisions. Quantitative Methods Perspective [Seite 160]
16.1 - 12.1 Introduction [Seite 161]
16.2 - 12.2 ESG Factors Incorporated in Risk Assessment Toward Sustainable Financial Decisions [Seite 162]
16.3 - 12.3 Quantitative Methods Used in ESG Risk Assessment [Seite 163]
16.4 - 12.4 Conclusions [Seite 171]
16.5 - References [Seite 172]
17 - 13 Purchase Decision Support with Internet of Things-Based Systems [Seite 176]
17.1 - 13.1 Introduction [Seite 176]
17.2 - 13.2 Purchase Decision Support [Seite 178]
17.3 - 13.3 Implementation of IoT in Purchase Decision Support [Seite 179]
17.3.1 - 13.3.1 Purchase Decision Support System [Seite 180]
17.3.2 - 13.3.2 Employing Data from the IoT-Based System to Stimulate Desired Shopping Decisions [Seite 182]
17.3.3 - 13.3.3 The Functions of Customer Assistance Systems and Automatic Identification Technologies in Customer Support Solutions [Seite 183]
17.4 - 13.4 Conclusions [Seite 187]
17.5 - References [Seite 187]
18 - 14 Application of EEG Metrics in the Decision-Making Process [Seite 189]
18.1 - 14.1 Introduction [Seite 189]
18.2 - 14.2 Limitations in the Applicability of Selected Multi-Criteria Methods [Seite 191]
18.3 - 14.3 EEG as a Measuring Technique [Seite 193]
18.4 - 14.4 The Metrics Used in Decisions Making [Seite 194]
18.4.1 - 14.4.1 Frontal Asymmetry [Seite 194]
18.4.2 - 14.4.2 Engagement [Seite 195]
18.4.3 - 14.4.3 Distraction [Seite 196]
18.4.4 - 14.4.4 Workload [Seite 196]
18.5 - 14.5 Conclusions [Seite 197]
18.6 - References [Seite 198]
19 - 15 Examining the Degree of Engagement of a Participant in Economic Games Using Cognitive Neuroscience Techniques [Seite 202]
19.1 - 15.1 Introduction [Seite 202]
19.2 - 15.2 Proposal for a Test Procedure [Seite 204]
19.3 - 15.3 Questionnaire Survey [Seite 206]
19.4 - 15.4 The Conception of the Economic Game [Seite 208]
19.5 - 15.5 Study of EEG [Seite 214]
19.6 - 15.6 Examining Procedure [Seite 216]
19.7 - 15.7 Conclusions [Seite 216]
19.8 - References [Seite 217]
20 - 16 Simulation Modeling to Verify the Efficiency of Information Transfer [Seite 218]
20.1 - 16.1 Introduction [Seite 218]
20.2 - 16.2 Communication and Networks [Seite 220]
20.3 - 16.3 ATENA Communication Model [Seite 221]
20.4 - 16.4 Measures for Communication Processes [Seite 223]
20.5 - 16.5 Graph Model-Theoretical Assumptions [Seite 223]
20.6 - 16.6 Results [Seite 226]
20.7 - 16.7 Conclusions [Seite 227]
20.8 - References [Seite 229]
21 - 17 Hybrid System Dynamics-Agent-Based Simulation for Research in Economics and Business [Seite 230]
21.1 - 17.1 Introduction [Seite 231]
21.2 - 17.2 System Dynamics Versus Agent-Based Simulation [Seite 231]
21.3 - 17.3 Linking SD and ABS [Seite 233]
21.4 - 17.4 Hybrid Simulation for Research in Economics and Business-A Literature Review [Seite 239]
21.5 - 17.5 Conclusion [Seite 241]
21.6 - References [Seite 244]
22 - Practical Issues-Case Studies [Seite 250]
23 - 18 Measuring Neurophysiological Signals, Fixations and Self-report Data for Product Placement Effectiveness Assessment in Music Videos [Seite 251]
23.1 - 18.1 Introduction [Seite 252]
23.2 - 18.2 Methodology and Sample [Seite 253]
23.2.1 - 18.2.1 EEG Recording and Signal Processing [Seite 254]
23.2.2 - 18.2.2 The Autonomic Data Recordings and Signal Processing [Seite 255]
23.2.3 - 18.2.3 Eye Tracker Recordings and Signal Processing [Seite 255]
23.2.4 - 18.2.4 Data Analysis [Seite 256]
23.3 - 18.3 Results [Seite 256]
23.3.1 - 18.3.1 Eye Fixations and Recall of Products [Seite 256]
23.3.2 - 18.3.2 Spontaneous Recall of Videos: Product Placement Videos Versus Non-product Placement Videos [Seite 258]
23.3.3 - 18.3.3 Mental Effort: Product Placement Videos Versus Non-product Placement Videos [Seite 258]
23.3.4 - 18.3.4 Emotion Engagement: Product Placement Videos Versus Non-product Placement Videos [Seite 260]
23.4 - 18.4 Discussion [Seite 260]
23.5 - 18.5 Conclusion [Seite 261]
23.6 - References [Seite 261]
24 - 19 Objective and Subjective Perception of Real Estate Features in the Light of an Experimental Study [Seite 264]
24.1 - 19.1 Introduction [Seite 264]
24.2 - 19.2 Literature Review [Seite 265]
24.3 - 19.3 Scope of Data and Organization of the Study [Seite 267]
24.4 - 19.4 Test Results [Seite 269]
24.5 - 19.5 Conclusions [Seite 272]
24.6 - References [Seite 273]
25 - 20 Optimization of Location Attractiveness Zones for the Purpose of Property Mass Appraisal [Seite 275]
25.1 - 20.1 Introduction [Seite 276]
25.2 - 20.2 Location Attractiveness Zones [Seite 277]
25.3 - 20.3 Source Data and Research Assumptions [Seite 279]
25.4 - 20.4 Research and Results [Seite 280]
25.5 - 20.5 Conclusions [Seite 285]
25.6 - References [Seite 285]
26 - 21 Market Timing Models for Equity Funds Operating on the Polish Market in the Years 2003-2017 [Seite 288]
26.1 - 21.1 Introduction [Seite 289]
26.2 - 21.2 Literature Review [Seite 290]
26.3 - 21.3 Models of Portfolio Investment Management Skills [Seite 291]
26.4 - 21.4 Methodical Assumptions [Seite 292]
26.4.1 - 21.4.1 Research Results in 2003-2017 [Seite 293]
26.4.2 - 21.4.2 Research Results in Five-Year Periods [Seite 295]
26.4.3 - 21.4.3 Research Results in Two-Year Periods [Seite 298]
26.5 - 21.5 Conclusion [Seite 303]
26.6 - References [Seite 305]
27 - 22 Identification of EU Countries Due to the Quality of Data on Intra-Community Supplies of Goods Shipped from Poland in the Years 2005-2017 [Seite 307]
27.1 - 22.1 Introduction [Seite 308]
27.2 - 22.2 The Need and Ways of Identifying Irregularities in Mirror Data-Literature Review [Seite 309]
27.3 - 22.3 Analysis Framework [Seite 310]
27.4 - 22.4 Data and Methodology [Seite 313]
27.5 - 22.5 Quality of Data on Poland's Intra-Community Supplies by EU Member States-Research Results [Seite 314]
27.6 - 22.6 Conclusions [Seite 317]
27.7 - References [Seite 318]
28 - 23 Measuring the Provision of Access to Sustainable Energy in the EU as a New Task of Modern Economics in Line with Agenda 2030 [Seite 319]
28.1 - 23.1 Introduction [Seite 320]
28.2 - 23.2 Outline of the Issues [Seite 321]
28.3 - 23.3 Research Methods [Seite 322]
28.4 - 23.4 Results [Seite 324]
28.5 - 23.5 Conclusions [Seite 327]
28.6 - References [Seite 329]
29 - 24 Pilot Study as a Case of Applying an Experimental Approach to the Implementation of Tasks in the Public Sector [Seite 331]
29.1 - 24.1 Introduction [Seite 331]
29.2 - 24.2 Development of the Concept of Implementation of Public Tasks in Public Sector Units [Seite 333]
29.3 - 24.3 Piloting as an Expression of Practical Application of the Expected Utility Theory in PSU Decisions [Seite 334]
29.4 - 24.4 Example of Practical Application [Seite 338]
29.4.1 - 24.4.1 Scientific Approach [Seite 338]
29.4.2 - 24.4.2 Findings and Discussion [Seite 339]
29.5 - 24.5 Conclusions [Seite 344]
29.6 - References [Seite 345]
30 - 25 What Really Helps Us Make a Choice? An Experimental Evaluation of AHP [Seite 348]
30.1 - 25.1 Introduction [Seite 349]
30.2 - 25.2 Literature Review [Seite 350]
30.3 - 25.3 Experimental Procedure [Seite 351]
30.4 - 25.4 Results [Seite 353]
30.5 - 25.5 Discussion and Conclusions [Seite 356]
30.6 - References [Seite 357]
31 - 26 Declared Preference Method-Research Experiment Concerning Air Quality [Seite 359]
31.1 - 26.1 Introduction [Seite 359]
31.2 - 26.2 Public Goods and Issues of Demand and Supply: Literature Review [Seite 361]
31.3 - 26.3 Methodology and Data [Seite 362]
31.4 - 26.4 Results of the Survey [Seite 365]
31.4.1 - 26.4.1 Declared Preference Ranking (Including Social Circumstances) [Seite 365]
31.4.2 - 26.4.2 Analysis of the Willingness to Pay for a Public Good and Socio-economic Aspects [Seite 368]
31.4.3 - 26.4.3 Assessment of Decisions Efficiency Understood as an Ability to Achieve the Goal [Seite 369]
31.5 - 26.5 Discussion [Seite 371]
31.6 - 26.6 Conclusions [Seite 372]
31.7 - References [Seite 372]
