The purpose of this paper is to describe the development and validation of an instrument for measuring intellectual capital in the academic research context. The current research context describes a new paradigm of scientific production characterized by interdisciplinarity, heterogeneity and the intensification of the relations between the generators of knowledge. In this scenario, traditional measures of intellectual capital do not capture all the variables that make up the environment in which the research activities are carried out. This transformation of research processes suggests the need to bring theories of organizational behavior, more appropriate to an organizational context, to the study of scientific context. Thus, the paper contextualizes the intellectual capital approach, thereby explaining how the different attributes that build it influence scientific productivity and providing a measurement instrument to evaluate relative levels of intellectual capital in an academic research context.,The scale was designed through a double qualitative–quantitative scale development process. The literature on intellectual capital does not provide strong theoretical support for the definition of a specific set of items to be applied in the specific academic research context. Consequently, the scale constructs and observable variables were initially conceptualized through a Delphi panel. This initial set of indicators was empirically validated through a second quantitative stage to a sample of 1,798 Spanish academics. Given that no prior published studies have examined the construct validity of the proposed scale, and the proposed scale is not based on other previously validated scales, the authors used exploratory and confirmatory factor analysis to assess the internal consistency, using Cronbach’s α to determine reliability.,Drawing on the evidence obtained from a double qualitative–quantitative process, a scale consisting of 47 items was proposed to measure the three dimensions of intellectual capital, namely, the researcher’s human capital, as well as the nature of the social capital and organizational capital of the team in which the scholar is integrated. The process of identifying and validating indicators of intellectual capital allowed the authors to identify certain intangible elements that are key in the research process and that, therefore, determine scientific productivity. Thus, the proposed scale contributes by conceptualizing new variables that could be used to deepen and broaden the study of the determinants of research performance. The contextualization of intellectual capital approach can also help to assess the value of intangibles, offering an external reporting tool and making universities’ social contributions more visible to public and private stakeholders, justifying the efforts made by societies in the generation of academic knowledge.,The empirical analysis was carried out with an initial sample of 1,798 Spanish scholars. The validation of the scale should therefore be confirmed in different national contexts, with larger data sets. Likewise, the use of longitudinal data sets could help to study the effects of intellectual capital in academic research, thereby contributing to the ongoing debate on the determinants of research performance.,From a practical perspective, the instrument could be considered both as a management and an external reporting tool, providing a self-assessment instrument of the levels of intellectual capital. As a management tool, a specific measure of intellectual capital in an academic context could help to identify training needs, the implementation of practices that encourage the capability for building research networks and the development of reports with intellectual capital-related inputs for the justification of the resources received. At an institutional level, the proposed set of indicators also identifies the attributes of scholars linked to higher scientific performance, and the scale could be used as an instrument for selection processes in academic institutions, to develop practices related to the distribution of workload or the publication of intellectual capital indicators of its researchers in a healthy exercise of transparency.

中文翻译：

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概念化学术智力资本：测量量表的定义和建议

本文的目的是描述一种在学术研究背景下衡量智力资本的工具的开发和验证。当前的研究背景描述了一种新的科学生产范式，其特点是学科间性，异质性和知识生成者之间关系的加强。在这种情况下，传统的智力资本测度无法捕获构成研究活动进行环境的所有变量。研究过程的这种转变表明，有必要将更适合组织情境的组织行为理论引入科学情境的研究。因此，本文将智力资本方法进行了情境化，从而解释了构建科学知识的不同属性如何影响科学生产力，并提供了一种测量工具来评估学术研究背景下智力资本的相对水平。关于智力资本的文献没有为在特定学术研究背景下应用的一组特定项目的定义提供有力的理论支持。因此，规模构成和可观察变量最初是通过Delphi小组概念化的。最初的指标集在第二个量化阶段通过经验验证了1,798名西班牙学者的样本。鉴于之前没有发表过的研究都没有审查拟议量表的结构效度，并且建议的量表不基于其他先前验证的量表，作者使用探索性和确认性因素分析来评估内部一致性，并使用Cronbach'sα来确定可靠性。，借鉴从双重定性-定量过程获得的证据提出了由47个项目组成的项目，以衡量知识资本的三个维度，即研究人员的人力资本，以及整合了学者的团队的社会资本和组织资本的性质。识别和验证智力资本指标的过程使作者能够确定某些无形元素，这些无形元素是研究过程中的关键要素，因此决定了科学生产率。从而，拟议的量表通过概念化新变量做出了贡献，这些变量可用于加深和拓宽研究绩效决定因素的研究。智力资本方法的背景化还可以帮助评估无形资产的价值，提供一种外部报告工具，并使大学的社会贡献对公共和私人利益相关者更加可见，从而证明社会在产生学术知识方面所做的努力。对1,798名西班牙学者的初始样本进行了实证分析。因此，应该在不同的国家背景下使用更大的数据集来确认比额表的有效性。同样，使用纵向数据集可以帮助研究智力资本在学术研究中的作用，从实践的角度来看，该工具既可以被视为管理手段，也可以被视为外部报告工具，可以提供智力资本水平的自我评估工具。作为一种管理工具，在学术背景下对智力资本进行的具体衡量可以帮助确定培训需求，实施鼓励建立研究网络能力的实践以及开发具有智力资本相关投入的报告以证明其合理性。收到的资源。在机构层面，建议的指标集还可以确定与更高的科学绩效相关的学者的属性，