Creativity Types - Innovation Forms - Organisational Performance

Published: 25 May 2021| Version 1 | DOI: 10.17632/b3wsgw4r7y.1
Contributors:
, Tuğberk Kaya,
,

Description

MEASURES AND VARIABLES IN DATASET The questionnaire used in the survey has two sections; Information asked on a respondent's demographics and descriptive statistics are in the first section. The measures that respondents indicated their perceptions of the research measures' items are in the second section. All the measures adopted from the existing literature on the questionnaire are with 5 point Likert scales, where one indicates the "strongly disagree", and five indicates "strongly agree." The creativity measures are from the study of Madjar et al. (2011), wherein radical creativity and incremental creativity has three items for each. The ten items for the forms of innovation are from the survey of Huang et al. (2012); five items for product innovation, and five items for process innovation. The knowledge sharing measure has three items, and the measure is from the study of Lee (2018). Quality of sharing knowledge measure from the study of Chiu et al. (2006) has nine items. Items in firm performance measure are from widely used measures in the literature, such as in Tseng (2014).

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METHOD and SAMPLE We selected the target population for data collection through a self-administered questionnaire, which comprised managerial level employees of service and manufacturing industries. We approached the employees who were experienced and well aware of product or process innovation at the managerial level. As we do not have a sampling frame, the probability sampling technique was not possible, so data was collected based on convenience sampling throughout the whole Punjab province of Pakistan. According to the item to response theory, the sample size was determined with multiples of ten of all the items, making 33; thus, the sample size was 330 respondents. We aimed to reach amore numbers after distributing self-administered surveys to 340 respondents, albeit we could get 260 responses. Among 260 responses, there were missing data, and even some respondents filled it carelessly. After robust observation, we rejected ten responses, making final useable responses of 250 (about 74%). All 250 final participants voluntarily participated in the survey as the study's data is from the employees in seven different service and manufacturing sectors.

Categories

Innovation, Knowledge Sharing, Creativity, Product Innovation

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