Modelling and measuring code smells in enterprise applications using TISM and two-way assessment

Gupta, Viral; Kapur, P. K.; Kumar, Deepak

doi:10.1007/s13198-016-0460-0

Cited by 24 publications

(9 citation statements)

References 13 publications

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“…Researchers (Dubey and Ali, 2014;Prasad and Suri, 2011;Yadav and Barve, 2016;Gupta et al, 2016;Prasad et al, 2018;Patil and Suresh, 2019;Jain et al, 2018) have used TISM to study the relationship between variables. The application of TISM in big data analytics and future directions of research is outlined by Sushil (2018).…”

Section: Literature Review On Total Interpretive Structural Modellingmentioning

confidence: 99%

“…Similarly, Balaji and Arshinder (2016) have identified the causes for food wastage, as well as the driving power and dependence to improve the efficiency, competitiveness and profitability of the food supply chains. Gupta et al (2016) have IJLSS 11,4 controlled the code smells during the design and development stages of an enterprise application to achieve higher code maintainability and quality. Kumar Srivastava and Sushil (2014) have modelled and analyzed different aspects of management for effective strategy execution.…”

Section: Literature Review On Total Interpretive Structural Modellingmentioning

confidence: 99%

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Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Vaishnavi

Suresh

2020

IJLSS

113

105

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Purpose This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power. Design/methodology/approach In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified. Findings The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution. Research limitations/implications This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry. Practical implications This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS. Originality/value Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

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Section: Literature Review On Total Interpretive Structural Modellingmentioning

confidence: 99%

Section: Literature Review On Total Interpretive Structural Modellingmentioning

confidence: 99%

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Vaishnavi

Suresh

2020

IJLSS

113

105

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“…A generic company-cause-customer interface architecture is proposed, which organizations can use in designing their marketing campaign. Gupta et al (2016) have utilized TISM as a technique for modelling and measuring various code smells so that practitioners can focus their efforts on most critical code smells, and thus achieve higher code maintainability and quality. Sehgal et al (2016) have used TISM to identify inter-linkages among various factors and develop a model that would be helpful for industry and academia in getting a better understanding of factors that would drive mobile virtual network operators in India.…”

Section: Literature Review On Tism Approachmentioning

confidence: 99%

Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach

Patil

Suresh

2019

Glob J Flex Syst Manag

135

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IoT projects can be categorized as high technology with an extremely dynamic product development lifecycle. To be a leader under such conditions, organizations need to focus priorities on achieving shorter product development cycle along with organization agility and workforce agility. Many researchers have tried to identify the enablers that affect workforce agility in different segments, but none has really looked into the IoT project environment. In this paper, efforts are taken to model the enablers of workforce agility in IoT projects and to understand the interrelationship among enablers using total interpretive structural modelling. The current study makes an attempt to provide a hierarchical structure representing the driving enablers and the dependent enablers and to give the order of enablers with respect to influence on workforce agility. Results indicate that employee proactivity, innovativeness, resiliency skills and ownership or self-motivation bring agility in the workforce. These enablers help employees to act in all decision-making situations to achieve IoT organization goals faster.

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“…As very limited research has been done in using two-way assessment for measuring the impact of attributes in any system, therefore, it was not possible to conduct science mapping analysis on two-way assessment field. The review of some of the work done in two-way assessment is as follows: Mittal et al (2016) did assessment of barriers to Lean-Green Manufacturing System in India; Gupta et al (2017) applied two-way assessment for modeling and measuring attributes influencing DevOps implementation in an Indian enterprise; Gupta et al (2016) modelled and measured code smells in enterprise applications using total interpretive structural modeling (TISM) and two-way assessment; J.H. Tiemessen et al (2008) assessed the whole body vibration exposure in an exposed population and assessed other physical work demands in two ways; and Kapur et al (2015) measured software testing efficiency.…”

Section: Two-way Assessmentmentioning

confidence: 99%

Two-way assessment of key performance indicators to vaccine supply chain system in India

Chandra

Kumar

2019

IJPPM

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Purpose The purpose of this paper is to identify the key performance indicators (KPIs) of vaccine supply chain of Universal Immunization Program (UIP) India, and measure their impact on vaccine supply chain performance improvement, so that results of this study can help the decision makers manage the activity and effectiveness of their resources in order to improve vaccine delivery performance and child immunization coverage. Design/methodology/approach The 41 KPIs in terms of four dimension of the balanced scorecard (BSC), i.e. financial, customer, internal process and learning and growth have been identified and validated from the literature and expert’s opinions. Further, the impact of internal process and learning and growth performance indicators on the vaccine supply chain performance improvement have been evaluated using two-way assessment. The rankings obtained using two-way assessment are then compared to DEMATEL approach to validate the results. Findings The results from the analysis reveal that “Enhancement in employee work satisfaction” (LG3=10.08 percent), “Enhancement in professional vaccine supply chain managers and leaders” (LG2 = 6.70 percent) “Improvement in planning and coordination in the supply chain” (LG9 = 6.57 percent) are the three critical performance indicators having maximum impact on vaccine supply chain performance improvement. The decision makers should give priority to these performance indicators to improve delivery performance and immunization coverage. Social implications This study focuses on the improvement in vaccine delivery performance, therefore, analysis and findings can be useful to government immunization programs of India to other developing nations to improve child immunization coverage. Originality/value To our knowledge, this paper is first to attempt to provide a direction to improve immunization coverage through vaccine supply chain performance indicators.

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Modelling and measuring code smells in enterprise applications using TISM and two-way assessment

Cited by 24 publications

References 13 publications

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach

Two-way assessment of key performance indicators to vaccine supply chain system in India

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