Modelling the enablers of productivity of enterprise-level Agile software development process using modified TISM approach

IF 1.8 Q3 MANAGEMENT Journal of Modelling in Management Pub Date : 2024-04-25 DOI:10.1108/jm2-12-2023-0285
Chaitanya Arun Sathe, Chetan Panse
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Abstract

Purpose This study aims to examine the enablers of productivity of enterprise-level Agile development process using modified total interpretative structural modeling (TISM). The two main objectives of the current study are to determine the variables influencing enterprise-level agile development productivity and to develop modified TISM for the corresponding components. Design/methodology/approach To identify enablers of the productivity of enterprise-level agile software development process a literature review and opinions of domain experts were collected. A hierarchical relationship among variables that show direct and indirect influence is created using the modified TISM (M-TISM) technique with Cross Impact Matrix-Multiplication Applied to Classification analysis. This study examined and analyzed the relationships between the determinants within the enterprise using a M-TISM technique. Findings With the literature review, the study could identify ten enabling factors of the productivity of Agile development process at the enterprise level. Results depict that program increment (PI) planning and scalable backlog management, continuous integration and continuous delivery (CI/CD), agile release trains (ART), agile work culture, delivery excellence, lean and DevOps practices, value stream mapping (VMS), team skills and expertise, collaborative culture, agile coaching, customer engagement have an impact on the productivity of enterprise-level Agile development process. The results show that team collaboration, agile ways of working and customer engagement have a greater impact on productivity improvement for enterprise-level Agile development process. Research limitations/implications The developed model is useful for organizations employing scaled Agile development processes in software development. This study provides a recommended listing of key enablers, that may enable productivity improvements in the Agile development process at the enterprise level. Strategists should focus on team collaboration and Agile project management. This study offers a modified TISM model to academicians to help them understand the effects of numerous variables on maintaining the productivity of an enterprise-level Agile. The identified characteristics and their hierarchical structure can help project managers during the execution of Agile projects at the enterprise level, more effectively, increasing their success and productivity. Originality/value The study addresses the gap in the literature by interpretative relationships between the identified enabling factors. The model validation is carried out by a panel of nine experts from several information technology organizations deploying Agile software development at the enterprise level. This unique method broadens the knowledge base in Agile software development at scale and provides project managers and practitioners with a practical foundation.
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使用修改后的 TISM 方法模拟企业级敏捷软件开发流程的生产力促进因素
目的本研究旨在使用修正的整体解释结构模型(TISM)研究企业级敏捷开发流程生产力的促进因素。本研究的两个主要目标是确定影响企业级敏捷开发生产力的变量,并为相应的组件开发修改后的 TISM。为了确定企业级敏捷软件开发流程生产力的促进因素,收集了文献综述和领域专家的意见。使用修正的 TISM(M-TISM)技术和交叉影响矩阵-乘法应用于分类分析,在显示直接和间接影响的变量之间建立了层次关系。本研究使用 M-TISM 技术检查并分析了企业内部各决定因素之间的关系。研究结果通过文献综述,本研究确定了企业级敏捷开发流程生产力的十个有利因素。结果表明,项目增量(PI)规划和可扩展的积压管理、持续集成和持续交付(CI/CD)、敏捷发布培训(ART)、敏捷工作文化、卓越交付、精益和 DevOps 实践、价值流图(VMS)、团队技能和专业知识、协作文化、敏捷辅导、客户参与对企业级敏捷开发流程的生产力有影响。结果表明,团队协作、敏捷工作方式和客户参与对企业级敏捷开发流程生产率的提高有更大的影响。本研究提供了一份关键推动因素的建议清单,这些因素可能会促进企业级敏捷开发流程生产率的提高。战略制定者应重点关注团队协作和敏捷项目管理。本研究为学者们提供了一个修改后的 TISM 模型,帮助他们了解众多变量对保持企业级敏捷生产力的影响。确定的特征及其层次结构可以帮助项目经理更有效地执行企业级敏捷项目,提高项目的成功率和生产力。模型验证由九位专家组成的小组进行,他们来自多个在企业层面部署敏捷软件开发的信息技术组织。这种独特的方法拓宽了大规模敏捷软件开发的知识面,为项目经理和从业人员提供了实用的基础。
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来源期刊
CiteScore
5.50
自引率
12.50%
发文量
52
期刊介绍: Journal of Modelling in Management (JM2) provides a forum for academics and researchers with a strong interest in business and management modelling. The journal analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications. JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between ''antecedents and modelling'' (how to tackle certain problems) and ''modelling and consequences'' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions. JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as: A priori theorizing conceptual models, Artificial intelligence, machine learning, Association rule mining, clustering, feature selection, Business analytics: Descriptive, Predictive, and Prescriptive Analytics, Causal analytics: structural equation modeling, partial least squares modeling, Computable general equilibrium models, Computer-based models, Data mining, data analytics with big data, Decision support systems and business intelligence, Econometric models, Fuzzy logic modeling, Generalized linear models, Multi-attribute decision-making models, Non-linear models, Optimization, Simulation models, Statistical decision models, Statistical inference making and probabilistic modeling, Text mining, web mining, and visual analytics, Uncertainty-based reasoning models.
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