An Empirical Study on Innovation and Role of Demographic Variables

Anindita Bhatacharya, K. Chawla, N. Ravichandran
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Abstract

Purpose: The paper aims at looking at the influence of selected demographic variables on organisational innovation process. Design/Methodology/Approach: As organisations face more globalised and fast paced competitive environment today than ever before, the need of the hour has become a concentrated effort by organisations to be innovative. Innovation has emerged as a mainstay of organisational sustenance and thus an empirical study was attempted at, to understand the relationships between innovation and demographic variables, if any. Literature review was done to generate a representative pool of factors influencing innovation. An accepted scale of innovation measurement seems to be missing especially in the Indian context. The study also aimed at understanding the efficacy of including demographic variables as an innovativeness measurement parameter in developing such a scale. Based on the literature review a questionnaire was designed that was used to collect the data. A 7-point Likert scale was used to capture the data on the statements pertaining to innovation. The type of data obtained through the questionnaire was quantitative. Random and judgemental sampling techniques were used to identify the respondent pool for study. The study tried to gauge interrelationship between innovation and employee age, gender and length of service. Based on the findings, the study concludes that age and length of service seem to have strong influences on the innovation potential while gender did not seem to have a very significant impact on innovation process and thus age and length of service can be included as influencing measurement parameter for innovativeness in any innovation scale development.
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创新与人口变量作用的实证研究
目的:本文旨在研究选定的人口统计变量对组织创新过程的影响。设计/方法/方法:随着组织面临比以往任何时候都更加全球化和快节奏的竞争环境,时间的需要已经成为组织创新的集中努力。创新已经成为组织维持的支柱,因此,一项实证研究试图理解创新与人口变量之间的关系,如果有的话。通过文献综述,得出具有代表性的影响创新的因素库。一个公认的创新衡量尺度似乎缺失了,尤其是在印度的背景下。该研究还旨在了解将人口统计变量作为开发此类量表的创新性测量参数的有效性。在文献综述的基础上,设计了一份问卷来收集数据。7分李克特量表用于获取与创新有关的陈述的数据。通过问卷调查获得的数据类型是定量的。采用随机抽样和判断抽样技术确定调查对象。这项研究试图衡量创新与员工年龄、性别和服务年限之间的相互关系。研究发现,年龄和工龄对创新潜力的影响较大,而性别对创新过程的影响不显著,因此年龄和工龄可以作为任何创新量表开发中创新性的影响测量参数。
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