Exploring the Impact of Experiments on Knowledge Workers' Productivity in the Pakistani Software Industry

Shakeel Ahmad, Muhammad Awais Khan
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Abstract

The world has been changed into global apartment by the innovation of ICT. The concepts of time and distance have been dashed down with the magical clicks of technology. All these supersonic changes are caused by the highest level of competency and latest knowledge of the workforce. The structure of the economy is dynamic and it continues to change with the changes of tide and space; where once organizations were dependent on the productivity of a manual workforce, they are now increasingly depending on the productivity of knowledge workers. Today, knowledge workers account for more than two-thirds of the workforce, and thus should be the centre of focus of strategic plans to improve productivity. The aim of this experimental research study was to explore the impact of suggested factors on knowledge worker productivity. The researcher used the survey method for collection of data with instrument of questionnaire to achieve the objectives of the study. The sample size was consisted of 100 respondents, which were selected randomly from major software firms of Pakistan. Results of descriptive statistics and structural equations modelling (SEM) revealed that independent variables, e.g. on-job-training, workplace, motivation, education and work experience and well-being have a positive effect on knowledge worker productivity. In order to increase the knowledge worker productivity, management requires to betterly understand how to make knowledge workers more productive by examining the factors that affect productivity and by analysing any relationship between the factors and roles.
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探索实验对巴基斯坦软件业知识型员工生产力的影响
由于信息通信技术的革新,世界已经变成了全球公寓。随着科技的神奇滴答声,时间和距离的概念被冲垮了。所有这些超声速的变化都是由劳动力的最高能力水平和最新知识引起的。经济结构是动态的,随着潮流和空间的变化而不断变化;曾经组织依赖于手工劳动力的生产力,现在他们越来越依赖于知识工作者的生产力。如今,知识型员工占劳动力的三分之二以上,因此,他们应该成为提高生产率的战略计划的重点。本实验研究的目的是探讨建议因素对知识型员工生产力的影响。研究者采用问卷调查的方法收集数据,以达到研究的目的。样本量由100名受访者组成,他们是从巴基斯坦的主要软件公司中随机选择的。描述性统计和结构方程模型(SEM)的结果表明,在职培训、工作场所、动机、教育和工作经验以及幸福感等自变量对知识型员工的生产力有积极的影响。为了提高知识工作者的生产力,管理层需要通过检查影响生产力的因素,并通过分析因素和角色之间的关系,更好地了解如何提高知识工作者的生产力。
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