Providing a Framework for Performance Evaluation of Organizations in Successfully Implementing TQM, Based on Knowledge Management Approach and Organizational Agility

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2023-05-12 DOI:10.1155/2023/1857596
Neda Irannejad, Hadi Shirouyehzad, Arash Shahin
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引用次数: 0

Abstract

Nowadays, any organization, in order to be aware of the desirability and quality of its activities, especially in dynamic environments, urgently needs an evaluation system to assess its system’s performance and efficiency. In this study, the performance of production and service organizations has been evaluated according to the effect of knowledge management success factors and organizational agility on the success factors of total quality management (TQM (total quality management)). Considering that the two areas of knowledge management and organizational agility are among those influential on TQM and each has been examined separately in the previous studies in relation to it, none of the previous studies has focused on all these three areas together. Therefore, in the present study, in addition to evaluating the performance of organizations based on the success factors of TQM, we seek to identify the influential factors and success factors of each of the three areas of knowledge management, organizational agility, and TQM; then, the impact of knowledge management and organizational agility on the success factors of TQM is evaluated. To express the above-given relationship, group interpretive structural modelling (ISM (interpretive structural modelling)) techniques have been used to rank the components of each domain; also, fuzzy quality function deployment (FQFD (fuzzy quality function deployment)) technique has been applied to find the weight and relationship of the three mentioned domains by examining the independent and interface variables of the previous step. The weights resulting from two-stage house of quality have been used as the weights for the design of the two-stage data envelope analysis (DEA) model by the weight control method. Finally, the above-given factors in knowledge-based companies located in Khorramabad Science and Technology Park have been studied and the results have been expressed.

Abstract Image

基于知识管理方法和组织敏捷性的组织成功实施TQM的绩效评估框架
当今,任何组织,特别是在动态环境中,为了了解其活动的可取性和质量,迫切需要一个评价体系来评价其系统的性能和效率。本研究根据知识管理成功因素和组织敏捷性对全面质量管理成功因素的影响,对生产和服务组织的绩效进行评价。考虑到知识管理和组织敏捷性这两个领域是对TQM有影响的两个领域,并且在之前的研究中都是单独研究的,所以之前的研究都没有把这三个领域放在一起研究。因此,在本研究中,除了基于TQM的成功因素来评价组织绩效外,我们还试图识别知识管理、组织敏捷性和TQM三个领域的影响因素和成功因素;然后,评估了知识管理和组织敏捷性对TQM成功因素的影响。为了表达上述关系,使用群体解释结构建模(ISM (interpretive structural modeling))技术对每个域的组件进行排序;此外,通过检查前一步的自变量和接口变量,应用模糊质量函数部署(FQFD(模糊质量函数部署))技术来找到上述三个领域的权重和关系。采用权重控制方法,将两阶段质量屋的权重作为两阶段数据包络分析(DEA)模型设计的权重。最后,对位于霍拉马巴德科技园的知识型企业的上述影响因素进行了研究,并给出了结果。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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