Curing Expensive Mistakes: Applying Ism on Employees’ Emotional Behaviors in Environment of Mergers

Niazi, Abdul Aziz Khan; Qazi, Tehmina Fiaz; Basit, Abdul; Khan, Khurram Saghir

doi:10.26710/reads.v5i1.499

Cited by 5 publications

(3 citation statements)

References 92 publications

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“…There are different techniques for finalizing the variables for study, and there is a wide variety of eliciting the data from respondents (Shaukat et al, 2021 ). According to ISM norms, primary data is collected from a pre-constituted panel of experts (Niazi et al, 2019a , b ). As the data related to this study did not exist, forming the panel of experts is appropriate for keeping the concept of model exchange isomorphism.…”

Section: Methodology/data Collectionmentioning

confidence: 99%

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Evaluating the social outcomes of COVID-19 pandemic: empirical evidence from Pakistan

Abbass

Basit²,

Niazi

et al. 2022

Environ Sci Pollut Res

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The study aims to assess and analyze the social outcomes of the COVID-19 pandemic. The study uses the discourse of comprehensive literature review to identify the outcomes, Interpretive Structural Modeling (ISM) for developing a structural model and Matrices’ Impacts Cruise’s Multiplication Appliquée a UN Classement (MICMAC) for analysis, classification of societal outcomes, and corroboration of results of ISM. Data from fifteen experts was collected through a survey questionnaire. As a result of the literature review, a list of sixteen outcomes was generated and verified by a panel of experts. Results of ISM revealed that the outcomes, namely, “emotional instability,” “mental health self-harm,” loneliness reduced recreational activities, obesity, and “increased screen time” come at the top of the model; therefore, they are less vital outcomes, whereas the most significant outcome which is at the bottom of the model is “employment instability”; hence it has a major impact on the society. The remaining outcomes fall in the middle of the model, so they have a moderate-severe impact. Results of MICMAC validate the findings of ISM. Overall findings of the study reveal that “employment instability” is the crucial social outcome of the COVID-19 pandemic. It is an original attempt based on real-time data, which is helpful for society at large, researchers, the international community, and policymakers because this study provides a lot of new information about the phenomenon. The study includes understanding society at large, policymakers, and researchers by illustrating the complex relations and simplifying the connections among a wide range of social outcomes of COVID-19.

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Section: Methodology/data Collectionmentioning

confidence: 99%

“…Visits were being done after taking an appointment on calls to the experts. There are different methods of practically eliciting the data from people’s minds (Niazi et al 2019a , b ; Qazi et al 2020 ). We stimulated the data on VAXO-based matrix using face-to-face, one-on-one method.…”

Section: Methodology/data Collectionmentioning

confidence: 99%

Evaluating the social outcomes of COVID-19 pandemic: empirical evidence from Pakistan

Abbass

Basit²,

Niazi

et al. 2022

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are numerous methods to elicit data from a panel of experts, e.g., Delphi method, brainstorming session, discussion session, nominal group technique (NGT), repertory-grid interview technique (RGT), matrix type questionnaire, laddering interview, problem-solving group session, in-depth discussion, face-to-face in-depth interview, triadic sorting task approach, approval voting on alternatives (VAXO) for every pair of relations through software/questionnaire, workshop, and idea engineering or idea generation method with small group exercise ( Baruah and Paulus, 2008 ; Niazi et al, 2020 , 2019b ). This study uses face-to-face approval VAXO for every pair of relations through matrix type (i.e., ( n ( n −1))/2 matrix) questionnaire to capture the mental model of the expert without loss of original data ( Supplementary Annexure 2 ).…”

Section: Methodsmentioning

confidence: 99%

Analyzing the Stressors for Frontline Soldiers Fighting Against Coronavirus Disease 2019 Pandemic

et al. 2021

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This study aimed to analyze stressors to which medical staff is vulnerable due to the coronavirus disease 2019 (COVID-19) pandemic. It also imposes a hierarchy on complex relations among stressors for excavating underlying structure and builds a model of interrelationships contrasting reality. The design of this study comprises a literature survey, data collection from primary sources, and analysis. Stressors have been explored from within current published/unpublished literature and validated by experts through approval vote. Data were collected from the focus group (panel of experts), and interpretive structural modeling (ISM) was used as the research methodology. Findings of ISM are avowed through “cross-impact matrix multiplication applied to classification” (MICMAC) analysis. As a result of the literature survey, a list of stressors was generated, and a total of 19 stressors qualified as representative of the phenomenon. The results of ISM show that two stressors (i.e., “unavailability of proper personal protective equipment (PPE)” and “lack of proper communication”) emerged as the most critical stressors since they occupy the bottom of the model, whereas, four stressors (i.e., “anxious about isolation/quarantine,” “subject to violent crimes,” “feeling frustrated and powerless,” and “exhausting shifts/hours without clear end”) are relatively less critical since they occupy the top of the model. The rest of the stressors occupy the middle of the model and therefore, have moderate-severe effects on frontline soldiers. The results of MICMAC show that the stressor “subject to violent crimes” is classified in the dependent cluster and the remaining fall in the linkage cluster but no stressor falls in independent and autonomous. Overall results indicate that all stressors are relevant to the phenomenon under this study, but they are currently not settled. This study is invaluable for policymakers, frontline soldiers, researchers, the international community, and society since it provides a lot of new information that is helpful in refining strategies and combating influential stressors.

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What Stops to Switch on to Solar Energy? An Empirical Evidence from Pakistan

Qazi,

Basit,

Niazi

et al. 2023

BBE

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This is an exploratory and qualitative study based on a survey. The study aims to generate a list of factors hindering switching to solar energy systems. The study design comprises the literature review, data analysis and discussion. The population under study includes stakeholders of solar energy systems, e.g., solar penal producers, importers, sellers, marketers, buyers/consumers, regulators, etc. Twenty-one samples are drawn from within the stakeholders, constituting a non-probability purposive sample of experts. The data are collected using a matrix-type questionnaire from experts. To perform analysis on data, the classical technique of Interpretive Structural Modeling (ISM) combined with Matriced' Impacts Cruise's Multiplication Appliquee a U.N. Classement (MICMAC) is used. Findings of ISM modeling show that limited production and uncertainty about after sale service fall at Level I, in contrast, lack of expertise and lack of social awareness fall at Level V & VI (respectively) of the model. All other barriers lye in middle on the continuum of bottom-to-top. It is worth mentioning that the barriers contained at Level I are the least important and those held at Level V & VI are the most important ones. Findings of MICMAC show that barriers, namely limited production and uncertainty about after sale service, fall in the independent cluster. In contrast, barriers, namely weak infrastructure structure, non-availability of feed-in tariff (fit) system, limited production and uncertainty about after sale service, fall in the dependent cluster. All the other barriers fall in the linkage cluster. This is an original valuable study based on real-time data collected from stakeholders that contributes new information about inter-relationships of barriers about the phenomenon under study. The study has various implications for the stakeholders, i.e. solar penal producers, wholesalers, retailers, importers, marketers, regulators, buyers, society and economy, etc.

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Curing Expensive Mistakes: Applying Ism on Employees’ Emotional Behaviors in Environment of Mergers

Cited by 5 publications

References 92 publications

Evaluating the social outcomes of COVID-19 pandemic: empirical evidence from Pakistan

Evaluating the social outcomes of COVID-19 pandemic: empirical evidence from Pakistan

Analyzing the Stressors for Frontline Soldiers Fighting Against Coronavirus Disease 2019 Pandemic

What Stops to Switch on to Solar Energy? An Empirical Evidence from Pakistan

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