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Data science: developing theoretical contributions in information systems via text analytics
Journal of Big Data ( IF 8.1 ) Pub Date : 2020-01-09 , DOI: 10.1186/s40537-019-0280-6
Aya Rizk , Ahmed Elragal

Scholars have been increasingly calling for innovative research in the organizational sciences in general, and the information systems (IS) field in specific, one that breaks from the dominance of gap-spotting and specific methodical confinements. Hence, pushing the boundaries of information systems is needed, and one way to do so is by relying more on data and less on a priori theory. Data, being considered one of the most important resources in research, and society at large, requires the application of scientific methods to extract valuable knowledge towards theoretical development. However, the nature of knowledge varies from a scientific discipline to another, and the views on data science (DS) studies are substantially diverse. These views vary from being seen as a new scientific (fourth) paradigm, to an extension of existing paradigms with new tools and methods, to a phenomenon or object of study. In this paper, we review these perspectives and expand on the view of data science as a methodology for scientific inquiry. Motivated by the IS discipline’s history and accumulated knowledge in using DS methods for understanding organizational and societal phenomena, IS theory and theoretical contributions are given particular attention as the key outcome of adopting such methodology. Exemplar studies are analyzed to show how rigor can be achieved, and an illustrative example using text analytics to study digital innovation is provided to guide researchers.

中文翻译:

数据科学:通过文本分析在信息系统中发展理论贡献

学者们越来越多地呼吁在组织科学领域,尤其是信息系统(IS)领域进行创新性研究,以打破空白点和特定方法限制的主导地位。因此,需要突破信息系统的边界,而做到这一点的一种方法是更多地依赖数据而更少地依赖先验理论。数据被认为是研究乃至整个社会中最重要的资源之一,它要求应用科学方法来提取有价值的知识,以促进理论发展。但是,知识的性质因一门科学学科而异,并且对数据科学(DS)研究的观点也大相径庭。这些观点不同于被视为一种新的科学(第四)范式,用新的工具和方法扩展现有范例,扩展到现象或研究对象。在本文中,我们回顾了这些观点,并扩展了将数据科学作为科学探究方法的观点。由于IS学科的历史和使用DS方法来理解组织和社会现象的积累知识,IS理论和理论贡献作为采用这种方法的关键成果受到了特别关注。对样例研究进行了分析,以显示如何实现严谨性,并提供了一个使用文本分析研究数字创新的示例,以指导研究人员。由于IS学科的历史和在使用DS方法理​​解组织和社会现象方面积累的知识,IS理论和理论贡献作为采用这种方法的关键成果受到了特别关注。对样例研究进行了分析,以显示如何实现严谨性,并提供了一个使用文本分析研究数字创新的示例,以指导研究人员。由于IS学科的历史和在使用DS方法理​​解组织和社会现象方面积累的知识,IS理论和理论贡献作为采用这种方法的关键成果受到了特别关注。对样例研究进行了分析,以显示如何实现严谨性,并提供了一个使用文本分析研究数字创新的示例,以指导研究人员。
更新日期:2020-01-09
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