The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that integrate and utilize information resources and evolving technologies to achieve collective intelligence are essential to this process. In order to better understand evolving demands of labor resources, existing research regarding worker/technology interactions for firm performance must be implemented and adapted to the changing market. This paper provides a conceptual research model enabling organizations to better understand the integration of worker/team attributes with collaboration modes, information resources and augmented technologies that yield effective collective intelligence for decision-making.,This manuscript includes a literature review on worker/team attributes interfacing with various technology platforms and the creation of collective intelligence. It then reviews complementary research including leadership elements for organizational outcomes and introduces more current work involving a digital transformation. The literature review provides the underpinnings for a conceptual model that incorporates essential elements for the creation of collective intelligence for decision-making and adds factors that are relevant for digital transformations. These elements include augmented technologies including cognitive technologies, collaborative platforms and worker attributes (skills, social sensitivity, leadership) all of which illustrate components of intellectual capital.,The paper summarizes key findings of existing research in worker/team interactions with technology platforms on organizational performance and provides an applied, conceptual research model incorporating these findings, along with new elements in the digital era for better identifying new worker requirements.,The value of this work is the introduction of an applied conceptual model based on established literature findings that includes new technologies (e.g. cognitive technologies), collaboration modes and worker/team attributes to address the requirements of the evolving knowledge worker in the digital era. It provides a framework to better understand more optimal resource allocations for the creation of collective intelligence and integrates the model components within an intellectual capital framework.

中文翻译：

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用于识别可推动有效决策和工作未来发展的因素的研究模型

组织流程的不断发展的数字化转型涉及巨大的复杂性。整合和利用信息资源以及不断发展的技术来实现集体智慧的个人和团队级别的劳动力资源等因素对于此过程至关重要。为了更好地了解不断变化的劳动力资源需求，必须实施有关工人/技术相互作用以提高公司绩效的现有研究，并将其适应不断变化的市场。本文提供了一种概念研究模型，使组织可以更好地了解工人/团队属性与协作模式，信息资源和增强型技术的结合，从而为决策提供有效的集体智慧。该手稿包括有关工人/团队属性与各种技术平台接口和集体智慧创建的文献综述。然后，它回顾了包括组织成果的领导要素在内的补充研究，并介绍了涉及数字化转型的更多最新工作。文献综述为概念模型提供了基础，该模型包含了创建决策集体智慧所需的基本要素，并增加了与数字转换相关的因素。这些要素包括增强技术，包括认知技术，协作平台和工人属性（技能，社会敏感性，领导力），所有这些都说明了智力资本的组成部分。本文总结了现有的关于工人/团队与技术平台在组织绩效上的互动的研究的关键发现，并提供了一个应用的，概念性的研究模型，将这些发现与数字时代的新要素结合在一起，以更好地确定新员工的需求。这项工作是基于已建立的文献调查结果，引入一种应用的概念模型，其中包括新技术（例如认知技术），协作模式和工作人员/团队属性，以解决数字时代不断发展的知识工作者的需求。它提供了一个框架，可以更好地了解用于创建集体智能的更多最佳资源分配，并将模型组件集成在智力资本框架内。