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PREDICTING PERFORMANCE EFFICIENCY WITH A TECHNOLOGICAL INNOVATION: AN EXAMINATION OF THREE COMMUNICATION VARIABLES (LISTENING, INTERACTION)

机译:通过技术创新预测性能效率:对三个通信变量(监听,交互)的检查

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摘要

In today's information age, technological change has become the key to organizational survival. Organizations are continually reassessing how to improve operating efficiency through the implementation of new technology. Researchers have recognized the importance of studying the process of innovation, and studies have been conducted which indicate that communication is critical to the diffusion of new ideas. However, exactly how employee communication behavior influences productivity with technological innovations has not been specifically investigated. Since most new technology is introduced to organizations with the intent of improving productivity, a key area of inquiry has been neglected. Thus, an experiment was conducted to examine the relationship between employee communication behavior and performance with new technology.;Drawing upon the communication and innovation literature, three communication variables were identified as being vital to the use of new technology: (1) communicator competence, (2) listening, and (3) interaction frequency. These three variables were selected because each can influence the quality and quantity of information employees receive regarding how to use an innovation.;Three hypotheses and a research question were identified. The three hypotheses proposed that each of the communication variables would explain a significant amount of the variance in employee performance with a technological innovation. In addition, a research question was raised about whether there existed a relationship between each of these three communication variables and the speed at which one learns to use new technology.;Measures of communication were administered to 128 employees and their performance with a new computer was assessed. Step-wise regression analysis was used to test the three hypotheses and address the research question.;Analysis of the data indicated that communicator competence, listening, and interaction frequency each explained a significant amount of the variance in employee productivity with new technology. In addition, communicator competence and interaction frequency were significant predictors of the speed at which one learns to use a technological innovation.;These findings provide strong support for the argument that communication behavior accounts for differences in employee performance with technological innovations. The implications of this study for organizational research and for communication training are discussed.
机译:在当今的信息时代,技术变革已成为组织生存的关键。组织正在不断地重新评估如何通过实施新技术来提高运营效率。研究人员已经认识到研究创新过程的重要性,并且进行的研究表明,交流对于传播新思想至关重要。但是,尚未具体研究员工沟通行为如何通过技术创新影响生产率。由于大多数新技术是为提高生产率而引入组织的,因此一直忽略了一个关键的查询领域。因此,进行了一项实验,以检验员工沟通行为与新技术绩效之间的关系。;根据沟通和创新文献,确定了三个沟通变量对于使用新技术至关重要:(1)沟通者能力, (2)聆听,以及(3)互动频率。选择这三个变量是因为每个变量都会影响员工收到的有关如何使用创新的信息的质量和数量。找出了三个假设和一个研究问题。这三个假设提出,每个沟通变量都将解释技术创新对员工绩效的显着影响。此外,还提出了一个研究问题,即这三个沟通变量中的每一个是否与学习新技术的速度之间是否存在关系。;对128名员工进行了沟通测量,并使用一台新计算机对他们的绩效进行了评估。评估。逐步回归分析被用来检验这三个假设并解决了研究问题。数据分析表明,沟通者的能力,倾听和互动频率都解释了新技术对员工生产率的显着影响。此外,沟通者的能力和互动频率是学习使用技术创新的速度的重要指标。这些发现为沟通行为解释了员工因技术创新而造成的绩效差异提供了有力的支持。讨论了这项研究对组织研究和沟通培训的意义。

著录项

  • 作者

    PAPA, MICHAEL JOSEPH.;

  • 作者单位

    Temple University.;

  • 授予单位 Temple University.;
  • 学科 Communication.
  • 学位 Ph.D.
  • 年度 1986
  • 页码 225 p.
  • 总页数 225
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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