Structured Literature Review with TISM Leading to an Argumentation Based Conceptual Model

Sushil, Sushil; Dinesh, Kamala Kannan

doi:10.1007/s40171-022-00309-w

Cited by 26 publications

(8 citation statements)

References 122 publications

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“…The results emphasize the importance of the link between all identified factors in the innovation process, including workforce skills, technology transfer, top management support, technical alliances and technology infrastructure. A detailed interpretation of the modified TISM model has been discussed and explained with the support of past literature (Sushil, 2019). The links (both direct and significant transitive) between two factors in TISM model are named as L1, L2, L3, L4, L5, L6, L7, L8, L9, L10, L11 and L12.…”

Section: Resultsmentioning

confidence: 52%

Technology management for innovation in organizations: an argumentation-based modified TISM approach

Rajan

Dhir

Sushil

2020

BIJ

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PurposeIn the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.Design/methodology/approachIn this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.FindingsA total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.Research limitations/implicationsFor policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.Originality/valueThis study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.

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Section: Resultsmentioning

confidence: 52%

Technology management for innovation in organizations: an argumentation-based modified TISM approach

Rajan

Dhir

Sushil

2020

BIJ

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“…The evidence-based TISM (TISM-E) is a methodological extension of TISM (Sushil, 2012 ), m-TISM (Sushil, 2017a ), argumentation-based TISM (Sushil & Dinesh, 2022 ), and TISM-P (Sushil, 2018b ). The modified TISM is the methodological extension of TISM and ISM with a simultaneous transitivity check.…”

Section: Methodsmentioning

confidence: 99%

“…Polarity helps to identify the nature of the relationships. Sushil & Dinesh ( 2022 ) highlighted the importance of argumentation-based discussion to enrich the interpretation of links.…”

Section: Overview Of Tism: Review and Applicationmentioning

confidence: 99%

“…Modeling research in the COVID-19 vaccination drive requires mapping the hypothesized relationship between different identified elements (Romate et al, 2022 ). In the past, modeling research has been aided by various methodologies, including structural equation modeling (Hair et al, 2019 ; Singh, Sharma, & Dhir, 2021 ; Dixit et al, 2021 ; Singh et al, 2022 ), interpretive structural modeling (Warfield, 1974 ) (ISM), system dynamics (Sterman, 2000 ), and total interpretive structural modeling (Sushil, 2012 ; Sushil, 2017a ; Sushil, 2018a ; Sushil & Dinesh, 2022 ) (TISM). TISM and ISM transform ill-structured factors into well-structured mental models and offer explanations of what and how.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, TISM also explains why components and defines the reason for the relationship between two identified elements. Previously, a few advancements in the TISM modeling process were suggested, including m-TISM (Sushil, 2017a ), argumentation-based TISM (Sushil & Dinesh, 2022 ), and TISM-P (Sushil, 2018b ). m-TISM is the modified TISM, where a simultaneous transitivity check was performed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Developing an evidence-based TISM: an application for the success of COVID-19 Vaccination Drive

Singh

Dhir²,

Sushil³

2022

Ann Oper Res

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The study illustrates an application of evidence data for performing Total Interpretive Structural Modeling (TISM). TISM is widely used to analyze the critical success factors or inhibitors and their interlinkages. This study uses learning from evidence data, specifically social media analytics, to identify the relationship between the elements. Thus, it leads to the advancement of the TISM-P methodology with evidence-based TISM (TISM-E). This study uses Twitter as a source of evidence data. Further, 2,60,297 tweets were used to illustrate the process of TISM-E. The paper demonstrates the application of TISM-E for the success of the COVID-19 vaccination drive. The pandemic effects are long-term; therefore, the hierarchical model developed shows a sustainable approach for vaccinating maximum population. Further, the framework developed will ensure the distribution efficacy of vaccines. In addition, it will aid practitioners in developing future vaccination policies. The enhanced model provides evidence for polarity (positive/negative) of relationships and can help to build propositions for theory development. The study contributes to healthcare, modeling research, and graph-theoretic literature.

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Methodological Triangulation in Understanding Coopetition: Evidence from Indian Pharmaceutical Industry

Meena,

Dhir,

Sushil

2024

Flexible Systems Management

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Structured Literature Review with TISM Leading to an Argumentation Based Conceptual Model

Cited by 26 publications

References 122 publications

Technology management for innovation in organizations: an argumentation-based modified TISM approach

Technology management for innovation in organizations: an argumentation-based modified TISM approach

Developing an evidence-based TISM: an application for the success of COVID-19 Vaccination Drive

Methodological Triangulation in Understanding Coopetition: Evidence from Indian Pharmaceutical Industry

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