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Record Nr. |
UNINA9910677701703321 |
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Autore |
Goglin Christian |
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Titolo |
Emotions and values in equity crowdfunding investment choices . 2 Modeling and empirical study / / Christian Goglin |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley-ISTE, , [2021] |
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©2021 |
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ISBN |
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1-119-81788-9 |
1-119-81789-7 |
1-119-81787-0 |
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Descrizione fisica |
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1 online resource (369 pages) |
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Collana |
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Innovation, Entrepreneurship and Management Series |
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Disciplina |
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Soggetti |
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Capital investments - Decision making |
Crowd funding |
New business enterprises - Finance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1 Modeling: The Explanatory Model and the Individual Predictive Model -- 1.1. Preliminary assumptions -- 1.1.1. Nature of uncertainty -- 1.1.2. Consequentialism -- 1.1.3. Rationality of the equity crowdfunding investor: a triptych of rationality -- 1.2. Explanatory model -- 1.2.1. Choice of model variables by the combined hypothetico deductive and inductive/abductive approach -- 1.2.2. Confirmatory study of the variables of the model on qualitative material -- 1.2.3. Operationalization: development of the measurement model, choice, adaptation of scales and return to data -- 1.2.4. Other hypotheses of the model -- 1.2.5. Reading grids for the explanatory model -- 1.2.6. Conclusion -- 1.3. Individual predictive model -- 1.3.1. Presentation -- 1.3.2. Affective matching theory -- 1.3.3. Theoretical foundations -- 1.3.4. Definitions and operationalization -- 1.3.5. Concluding remarks -- 1.4. Conclusion -- 2 Experimentation -- 2.1. Experimental protocol -- 2.1.1. Rationale and objectives -- 2.1.2. Constitution, sample size and recruitment procedure -- 2.1.3. Experimental protocol -- 2.1.4. Experimental design -- 2.1.5. |
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Conclusion -- 2.2. Carrying out the experimental procedure -- 2.2.1. Conducting the experimental procedure -- 2.2.2. Conclusion -- 2.3. Validity and handling of biases -- 2.3.1. Validity -- 2.3.2. Handling biases -- 2.3.3. Concluding remarks -- 2.4. Conclusion -- 3 Hypotheses Testing, Results and Discussion -- 3.1. Data prerequisites and the PLS approach -- 3.1.1. Statistical data of the sample -- 3.1.2. PLS-SEM -- 3.1.3. Corrective reprocessing, transformation and adding control variables to the data file -- 3.1.4. Sample size -- 3.1.5. Data review: completeness and data quality -- 3.1.6. Indicator measurement scales: symmetry and equidistance. |
3.2. Preliminary validity of the measurement model -- 3.2.1. Review of the measurement model -- 3.2.2. Single-indicator variables -- 3.2.3. Reflective variables -- 3.2.4. Formative variables -- 3.2.5. Conclusion -- 3.3. Estimation of the explanatory model by structural equations -- 3.3.1. PLS-SEM approach -- 3.3.2. Revision of the structural model -- 3.3.3. Structural model -- 3.3.4. Mediators -- 3.3.5. Invariance and moderators -- 3.3.6. Control variables -- 3.3.7. Conclusion -- 3.4. Experimental design -- 3.4.1. Impact of the Quality of the Business Plan on the Perceived Signal Quality -- 3.4.2. Effect of the business plan on the parameters estimated by multigroup analysis -- 3.4.3. Conclusion -- 3.5. Results of the individual predictive model -- 3.5.1. Reminder of the model -- 3.5.2. Results of the individual predictive model -- 3.5.3. Conclusion -- 3.6. Conclusion -- Conclusion -- References -- Index -- Other titles from iSTE in Innovation, Entrepreneurship and Management -- EULA. |
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