Saura Jose Ramon, Palos-Sanchez Pedro, Velicia-Martin Felix
Department of Business Economics, Rey Juan Carlos University, Madrid, Spain.
Department of Financial Economy and Operations Management, University of Seville, Seville, Spain.
Front Psychol. 2020 Mar 31;11:429. doi: 10.3389/fpsyg.2020.00429. eCollection 2020.
Technology has become the driving force for both economic and social change. However, the recruitment of volunteers into the projects of non-profit-making organizations (NGO) does not usually make much use of information and communication technology (ICT). Organizations in this sector should incorporate and use digital platforms in order to attract the most well-prepared and motivated young volunteers. The main aim of this paper is to use an extended Technology Acceptance Model (TAM) to analyze the acceptance of a technological platform that provides a point of contact for non-profit-making organizations and potential volunteers. The TAM is used to find the impact that this new recruitment tool for volunteers can have on an ever-evolving industry. The TAM has been extended with the and variables in order to measure the influence of these non-profit-making organizations on the establishment and implementation of a social network recruitment platform. The data analyzed are from a sample of potential volunteers from non-profit-making organizations in Spain. A structural equation approach using partial least squares was used to evaluate the acceptance model. The results provide an important contribution to the literature about communication in digital environments by non-profit-making organizations as well as strategies to improve their digital reputation.
技术已成为经济和社会变革的驱动力。然而,非营利组织(NGO)项目中志愿者的招募通常并未充分利用信息通信技术(ICT)。该领域的组织应采用并利用数字平台,以吸引准备最充分、积极性最高的年轻志愿者。本文的主要目的是使用扩展技术接受模型(TAM)来分析一个为非营利组织和潜在志愿者提供联系点的技术平台的接受情况。TAM用于探究这种新型志愿者招募工具对一个不断发展的行业可能产生的影响。TAM已通过[具体变量1]和[具体变量2]变量进行扩展,以衡量这些非营利组织对社交网络招募平台的建立和实施的影响。所分析的数据来自西班牙非营利组织潜在志愿者的样本。使用偏最小二乘法的结构方程方法来评估接受模型。研究结果为非营利组织在数字环境中的沟通相关文献以及提升其数字声誉的策略做出了重要贡献。