DOI: 10.57760/sciencedb.32582
title: Willingness to Pay Utility Value Database
title: Willingness to Pay Utility Value Database

description: This dataset contains a collection of variables and analytical outputs used to examine the determinants of consumers’ Willingness to Pay (WTP) for remanufactured products. The data are organized into several components, each representing a different layer of measurement, scoring, or model structure. The dataset is intended for replication, secondary analysis, and methodological comparison within consumer preference and behavioral research.1. Factor for Willingness to Pay – Counts This file presents the frequency counts of selected attributes or response patterns related to WTP. It provides an overview of how often specific choices or attribute levels were selected across respondents, forming the basis for descriptive analysis.2. Factor for Willingness to Pay – Design & Choices This file includes the experimental design matrix and the choice tasks presented to respondents. It documents the attribute levels, combinations, and alternatives used during data collection. It is essential for replicating conjoint-based or choice-based WTP estimation procedures.3. Factor for Willingness to Pay – Individual Raw Scores This file contains unprocessed, individual-level responses or raw scoring outputs prior to any normalization, scaling, or aggregation. These raw scores allow researchers to re-run model calibration or apply alternative scoring methods.4. Factor for Willingness to Pay – Individual Scores This file provides processed individual-level scores that represent each respondent’s WTP estimates or factor contributions after cleaning and transformation. These scores are suitable for further statistical modeling, such as segmentation or regression analysis.5. Factor for Willingness to Pay – Scores This file provides aggregated or final computed scores derived from the entire sample, offering a summary representation of the factors influencing WTP. These scores support comparative analysis across attributes, consumer segments, or model specifications.
description: This dataset contains a collection of variables and analytical outputs used to examine the determinants of consumers’ Willingness to Pay (WTP) for remanufactured products. The data are organized into several components, each representing a different layer of measurement, scoring, or model structure. The dataset is intended for replication, secondary analysis, and methodological comparison within consumer preference and behavioral research.1. Factor for Willingness to Pay – Counts This file presents the frequency counts of selected attributes or response patterns related to WTP. It provides an overview of how often specific choices or attribute levels were selected across respondents, forming the basis for descriptive analysis.2. Factor for Willingness to Pay – Design & Choices This file includes the experimental design matrix and the choice tasks presented to respondents. It documents the attribute levels, combinations, and alternatives used during data collection. It is essential for replicating conjoint-based or choice-based WTP estimation procedures.3. Factor for Willingness to Pay – Individual Raw Scores This file contains unprocessed, individual-level responses or raw scoring outputs prior to any normalization, scaling, or aggregation. These raw scores allow researchers to re-run model calibration or apply alternative scoring methods.4. Factor for Willingness to Pay – Individual Scores This file provides processed individual-level scores that represent each respondent’s WTP estimates or factor contributions after cleaning and transformation. These scores are suitable for further statistical modeling, such as segmentation or regression analysis.5. Factor for Willingness to Pay – Scores This file provides aggregated or final computed scores derived from the entire sample, offering a summary representation of the factors influencing WTP. These scores support comparative analysis across attributes, consumer segments, or model specifications.