Interpretive structural modelling in assessment of agile methodology

Singh, Rajbala; Kumar, Deepak; Sagar, Bharat Bhushan

doi:10.1109/ictus.2017.8286055

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The impact of agile practices on customer responsiveness and development success was also studied. The results of the study cannot necessarily be generalized as the findings are from a single industry and one organization Research explores the enablers that can facilitate agility in faculty members of engineering institutions to support policymakers' focus on practices that leverage human resources potential Management support, capability, rewards and recognition, employee empowerment Singh et al (2017) This study aimed to determine the dimensions of quality from the perspective of the "voice of the consumer." Theory of reasoned action (TRA) and technology acceptance model (TAM) theory were used as a base for building the framework, and TISM was applied for building the importance and interrelationships of the seven factors Ease of use, relationship, security and trust, customer service, usefulness Gupta et al (2016) This research presented a framework that engaged in modeling and measuring various code smells to maintain higher code maintainability and quality in software development.…”

Section: Methodsmentioning

confidence: 99%

“…While the application of TISM to study agility factors in manufacturing, supply chain, telecom, health and education sectors is gaining acceptance and momentum, it is not widely applied to understand the agility factors in software development agility. Singh et al (2017) used ISM to assess the attributes and their operative communication in the success of software projects. A summary of various software agility literature and TISM literature for similar studies, identifying influence factors and success criteria, are listed in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

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How to make intelligent automation projects agile? Identification of success factors and an assessment approach

Josyula

Suresh

Raman

2021

IJOA

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Purpose Organizations are fast adopting new technologies such as automation, analytics and artificial intelligence, collectively called intelligent automation, to drive digital transformation. When adopting intelligent automation, there is a need to understand the success factors of these new technologies and adapt agile software development (ASD) practices to meet customer expectations. The purpose of this paper is to explore the success factors of intelligent automation and create a framework for managers and practitioners to meet dynamic business demands. Total interpretive structural modeling (TISM) framework is a suitable approach to integrate quantitative measurement with qualitative semi-structured interviews capturing the context of the individual organization environment. Design/methodology/approach This paper identified agility factors and their interrelationships using a TISM framework. TISM results were validated using a one-tailed t-test to confirm the interrelationships between factors. Furthermore, the agility index of a case project organization was assessed using a graph-theoretic approach (GTA) to identify both the triggering factors for agility success and improvement proposals. Findings Results showed that leadership vision, organization structure and program methodology were driving factors. The TISM model was validated statistically and the agility index of the intelligent automation case project organization was calculated to be79.5%. Here, a GTA was applied and the triggering factors for improvement of the agility index were identified. Research limitations/implications The limitations of the study are described along with the opportunities for future research as the field evolves through the rapid innovation of technology and products. Practical implications The increasing role of digital transformation in enterprise strategy and operations requires practitioners to understand how ASD practices must be planned, measured and/or improved over time through the implementation of automation, analytics and artificial intelligence programs. The TISM digraph provides a framework of hierarchical structure to organize the influencing factors, which assists in achieving organizational goals. This study highlights the driving factors which contribute to the success of intelligent automation projects and project organizations. Originality/value This is a first attempt to analyze the interrelationships among agility factors in intelligent automation projects (IAP) using TISM and the assessment of the agility index of a case IAP organization using a GTA.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%