Modified ISM/TISM Process with Simultaneous Transitivity Checks for Reducing Direct Pair Comparisons

Sushil, Sushil

doi:10.1007/s40171-017-0167-3

Cited by 163 publications

(133 citation statements)

References 48 publications

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“…Interested organizations were asked to provide their availability. Experiences were collected through oneto-one interview session with each expert [30]. The interview was designed to take no more 75 minutes and GoToMeeting application was used for all interviews.…”

Section: Data Collection and Interviewsmentioning

confidence: 99%

“…It is used to establish dependencies among elements and to develop a dependency structure of a set of elements. Followings are the steps for ISM methodology as discussed by Sushil [30][15], Jain and Raj [34] and Sindhwani and Malhotra [36].…”

Section: Modelingmentioning

confidence: 99%

“…There is a need to find a type of contextual relationship between the capability areas [30]. The contextual relationship in this study is "impacts" which is identified from the literature review.…”

Section: : Identifying Contextual Relationship and Interpretationmentioning

confidence: 99%

“…SSIM is shown in Table 3. Four symbols are used to denote the nature of possible relationship between any two capability areas i and j (see Sushil [30] [15] for the meaning of symbols). Step 4: Adjacency Matrix or First Reachability Matrix (FRM) Table 4 presents the FRM in which '0' indicates no relationship and '1' indicates relationship exists between i and j capability areas.…”

Section: : Identifying Contextual Relationship and Interpretationmentioning

confidence: 99%

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Open Data Capability Architecture - An Interpretive Structural Modeling Approach

Zeleti

Ojo

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Despite of increasing availability of open data as a vital organizational resource, large numbers of startups and organizations fail when it comes to utilizing open data effectively. This shortcoming is attributable to the poor understanding of what types of capabilities are required to successfully conduct data related activities. At the same time, research on open data capabilities and how they relate to one another remains sparse. Guided by extant literature, interviews of these organizations, and drawn from Interpretive Structural Modeling (ISM) approach which are pair comparison methods to evolve hierarchical relationships among a set of elements to convert unclear and unstructured mental models of systems into well-articulated models that act as base for conceptualization and theory building, this study explores open data capabilities and the relationships and the structure of the dependencies among these areas. Findings from this study reveal hitherto unknown knowledge regarding how the capability areas relate one another in these organizations. From the practical standpoint, the resulting architecture has the potential to transform capability management practices in open data organizations towards greater competitiveness through more flexibility and increased value generation. From the research point of you, this paper motivates theory development in this discipline.

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Section: Data Collection and Interviewsmentioning

confidence: 99%

Section: Modelingmentioning

confidence: 99%

Section: : Identifying Contextual Relationship and Interpretationmentioning

confidence: 99%

Section: : Identifying Contextual Relationship and Interpretationmentioning

confidence: 99%

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Open Data Capability Architecture - An Interpretive Structural Modeling Approach

Zeleti

Ojo

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Interpretive structural modeling (ISM) (Warfield 1974) is one such scientific method which crystallizes a mental model through pair-comparison of a set of elements (what) so as to interrelate them hierarchically (how). This has been extended as total interpretive structural modeling (TISM) to interpret the explanation of each paired relationship (why) (Sushil 2017). Such interpretive methods that give a healthy mix of qualitative and quantitative approaches, systematically and scientifically, provide a sound basis for top-level decisions such as policy formulation and clarifying strategic intent.…”

mentioning

confidence: 99%

Is Management Science Applicable at the Top Level?

Sushil

2017

Glob J Flex Syst Manag

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This article is a succinct note on the debatable issue of the applicability of management science (MS) at the top-level decision making. In a broader perspective, management science is conceptualized as science of management. It is emphasized that a scientific and systematic approach is invariably better, and science and art of management are complementary to each other. The concept has been developed from the overall structure of the human brain, which is prone to scientific thinking. Since the management at top level is a human endeavor, the role of management science cannot be ignored. The challenge of the development of MS techniques for the top level is highlighted, which is going to be a multidisciplinary exercise.

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Community initiative investments as a strategy for development‐led business: Comparative analysis

Anbarasan

Sushil

2018

Bus Strat Dev

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Businesses have the potential to enhance the livelihoods of societies and individuals.Business activities do not occur in isolation but instead are an integral part of social activities. There may be developmental activities that cause the loss of livelihood due to involvement in mass production; therefore, responsibility is not enforced in business operations, and local communities must be viewed as integral parts of business activities. Development activities may not be sufficient to support the business activities; only an increase in income will decrease poverty. Therefore, low incomes must be addressed by expanding the local communities' capabilities. Hence, community initiative investment is a strategy for development-led business that is demonstrated by the two case studies of Dabur and Tech Mahindra. Total interpretive structural modeling is developed, reverse causality is discussed, and the study is validated by a simple linear regression analysis. Further implications and the future scope of this research are discussed.

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Modified ISM/TISM Process with Simultaneous Transitivity Checks for Reducing Direct Pair Comparisons

Cited by 163 publications

References 48 publications

Open Data Capability Architecture - An Interpretive Structural Modeling Approach

Open Data Capability Architecture - An Interpretive Structural Modeling Approach

Is Management Science Applicable at the Top Level?

Community initiative investments as a strategy for development‐led business: Comparative analysis

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