JOURNAL ARTICLE
DEVELOPMENT OF A CROSS-CULTURAL ITEM BANK FOR MEASURING ENTREPRENEURIAL PERSONALITY TRAITS ASSOCIATED WITH VENTURE SUCCESS.
Published In: Journal of Developmental Entrepreneurship, 2024, v. 29, n. 1. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: ESTRADA-LAVILLA, RAUL; OVALLE-ZULETA, MARÍA ALEJANDRA; RUIZ-NAVARRO, JOSÉ; CAMELO-ORDAZ, MARÍA DEL CARMEN 3 of 3
Abstract
This study aims to create a cross-cultural item bank that enables accurate, specific and comprehensive measurement of entrepreneurial personality traits associated with successful businesses. The traits were identified through a literature review, a panel of experts and entrepreneurs. Forty-four experts were used for the content analysis of the item bank and 35 entrepreneurs were interviewed to analyze and validate the item bank with considerable evidence. We identified sixteen entrepreneurial personality traits grounded in theory, each linked to entrepreneurial success, constructed a cross-cultural item bank customized to five Spanish-speaking countries to enable a more culturally sensitive measurement, and provided evidence of both content and response process validities. The item bank advances the measurement of entrepreneurial personality traits, transcending the constraints of conventional psychometric tests to offer a less intrusive, yet more accurate and efficient, alternative. A foundation is provided for a computerized adaptive test capable of assessing a range of entrepreneur-specific constructs for a better alignment between project stakeholders and a reduced risk of failure. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Developmental Entrepreneurship. 2024/03, Vol. 29, Issue 1, p1
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1084-9467
- DOI:10.1142/S1084946724500067
- Accession Number:177298006
- Copyright Statement:Copyright of Journal of Developmental Entrepreneurship is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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