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Rethinking organisational size in IS research: meaning, measurement and redevelopment

机译:重新思考信息系统研究中的组织规模:意义,度量和重新开发

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While organisational size is a popular construct in information systems (IS) research, findings from its use have been inconsistent. Few studies have explored this inconsistency or attempted to address this problem. This paper uses Churchill's measure development paradigm to conduct three separate but related investigations into the size construct. Study 1 explored the domain and dimensions of size. Some 2000 research papers published in six leading IS journals over an 11-year period were read in order to determine what researchers thought size meant and how they measured it. The study found 21 constructs underpinning the size construct and 25 ways of measuring size, but no clear relationship between size meaning and measurement. Study 2 assessed the construct's content validity using a concept map exercise involving 41 participants. Multidimensional scaling clustered the constructs into three conceptual groups. Study 3 administered the size construct in a survey with a sample of 163 Australian firms. The study found that the data supported the constructs observed in Study 2 and that a group of eight constructs could be used to differentiate between smaller and larger firms in the sample. Analysis revealed that organisational levels, risk aversion, geographic distribution and employment reflected respondents' self-nominated size.
机译:尽管组织规模是信息系统(IS)研究中的一种流行结构,但其使用结果却不一致。很少有研究探索这种矛盾或试图解决这个问题。本文使用丘吉尔的度量发展范式对规模结构进行了三个独立但相关的研究。研究1探索了规模的范围和维度。为了确定研究人员认为尺寸的含义以及如何测量尺寸,在11年的时间里,阅读了6篇主要的IS期刊上发表的2000篇研究论文。研究发现,有21种结构构成了尺寸结构的基础,还有25种测量尺寸的方法,但是尺寸含义与尺寸之间没有明确的关系。研究2使用涉及41位参与者的概念图练习评估了构建体的内容有效性。多维缩放将构造分为三个概念组。研究3在一项调查中对163家澳大利亚公司的样本进行了规模构建。该研究发现,数据支持研究2中观察到的结构,并且可以使用一组八个结构来区分样本中的小公司和大公司。分析表明,组织水平,风险规避,地理分布和就业反映了受访者的自我提名规模。

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