A multilevel model for organizational productivity management: an interpretive structural modeling approach

Abbas Abbasi, Behnaz Shirazi, S. Mohamadi
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Abstract

PurposeThis research highlights the ongoing concern about organizational productivity and the lack of focus on designing an optimal model. The authors aim to create a comprehensive model for managing organizational productivity, considering its impact on profitability, customer satisfaction, and employee morale. They use qualitative research methods, including Systematic Literature Review and Interpretive Structural Modeling (ISM).Design/methodology/approachIn this research using the qualitative research method of Systematic Literature Review, 57 variables affecting productivity were identified. These variables were placed in 16 layers by using the ISM method, which were classified analytically in four sections: INPUTS, OUTPUTS, OUTCOMES and IMPACTS. By determining the relationship between the sections, the research model was designed.FindingsThe potential model for organizational productivity management provides a comprehensive framework addressing critical factors like technology adoption, employee empowerment, organizational culture, and more. It identifies Linkage, Dependent, and independent variables. The lower layers consist of INPUTS such as Technological Tools, Organizational Values, and more. In the highest layer, impactful variables like Enhanced competitiveness, Improved decision-making, and Improved organizational culture are labeled as IMPACTS. Middle layer variables are categorized as OUTPUTS and OUTCOMES.Originality/valueIn this study, the concept of productivity management was redefined for the first time, and a multi-layered model for productivity management was creatively explicated using the structural equation modeling method.
组织生产力管理的多层次模型:一种解释性结构模型方法
目的 本研究强调了人们对组织生产率的持续关注,以及对设计最佳模型缺乏重视。作者旨在创建一个管理组织生产率的综合模型,考虑其对盈利能力、客户满意度和员工士气的影响。他们使用了定性研究方法,包括系统文献综述和解释性结构建模(ISM)。设计/方法/途径在本研究中,作者使用了系统文献综述的定性研究方法,确定了 57 个影响生产率的变量。通过 ISM 方法,这些变量被分为 16 层,并在分析中分为四个部分:输入(INPUTS)、输出(OUTPUTS)、结果(OUTCOMES)和影响(IMPACTS)。通过确定各部分之间的关系,设计出了研究模型。研究结果组织生产力管理的潜在模型提供了一个全面的框架,解决了技术采用、员工授权、组织文化等关键因素。它确定了关联变量、因变量和自变量。下层由 INPUTS 组成,如技术工具、组织价值观等。在最高层,增强竞争力、改进决策和改善组织文化等具有影响力的变量被标记为 IMPACTS。本研究首次重新定义了生产力管理的概念,并利用结构方程建模法创造性地阐述了生产力管理的多层模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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