Prioritizing determinants of effective whistle blowing (WB)

Niazi, Abdul Aziz Khan; Qazi, Tehmina Fiaz; Ali, Irfan; Ahmad, Rashid

doi:10.1108/ijlma-10-2017-0244

Cited by 9 publications

(7 citation statements)

References 64 publications

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“…To collect data from experts face to face, a one-to-one interview is used (Abbass et al, 2021). The study uses ISM for modeling and MICMAC for data analysis that has the capability of using small set of qualitative data and providing relatively more insights (Wafield, 1973;Shaukat, et al, 2021b;Niazi, et al, 2020a;Niazi, et al, 2020b;Niazi, et al, 2020c;Niazi, Qazi, & Basit, 2020;Audi et al, 2021;Qazi, et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

An Analysis of Post COVID-19 Scenario using Data Science in Digital Marketing

Qazi,

Niazi,

Mirza

et al. 2023

BBE

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The Purpose of the study is to analyze the uses of data science in digital marketing in post COVID-19 scenario. General design of the study includes survey of relevant research literature, primary data collection, structural modeling and critical analysis. The study uses Interpretive Structural Modeling (ISM) for structural modeling and Matriced' Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) for analysis. Introducing new products, personalizing customers’ online experience and improve user experience occupy top (Level I) and tracking social media commentary/interactions occupies bottom (Level IX) of ISM model. Analyzing user generated content, tracking social media commentary/interactions, analysis of online sales data, analyzing social media trends, analyzing product recommendations and reviews and analyze real-time big data are categorized as independent uses. Optimize customers’ preferences, optimize stock levels in e-commerce businesses, introducing new products, improve user experience and identify fake news & false content are categorized as dependent uses but others are categorized as linkage uses and no one is categorized in autonomous. It is an original study because it uses real time market survey data the findings of which are useful for folks of its stakeholders. It is particularly useful for marketers. It has serious implications for businesses since nowadays there is influx of data generation that has become a type of a noise for businesses. Use of data science not only converts this data noise into useful information but also an opportunity. This study provides lot of information about uses of data science particularly for marketing.

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Section: Methodsmentioning

confidence: 99%

An Analysis of Post COVID-19 Scenario using Data Science in Digital Marketing

Qazi,

Niazi,

Mirza

et al. 2023

BBE

Self Cite

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“…Generally, the ideal size for a heterogeneous panel is 8–12 experts and 15–25 experts for homogenous panels. This type of study’s scope is 10–20 experts [ 46 , 57 – 59 ]. In this study, the panel size is sixteen experts, i.e., considered to be the optimum size of the panel.…”

Section: Methodology/data Collection and Analysismentioning

confidence: 99%

Understanding the interaction among enablers of quality enhancement of higher business education in Pakistan

et al. 2022

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This study aims to generate a list of enablers of quality enhancement of higher business education in Pakistan and build a structural model of enablers to prioritize them. It also intends to impose direction and hierarchy on the inter-relationships of the enablers. The study’s design consists of a literature review, data collection from primary sources, and qualitative analysis. Interpretive Structural Modeling (ISM) coupled with Matriced’ Impacts Cruise’s Multiplication Appliquée a UN Classement (MICMAC) is used as a research methodology. The classical procedure of ISM and MICMAC is applied to primary data collected by a field survey from a panel of experts recruited from folks of stakeholders of business education. Results of the literature show that eighteen critical enablers enhance the quality of higher business education in Pakistan. Results of ISM show that the enabler ’job placement of graduates’ occupies the top-level of the ISM model being least critical. In contrast, the enabler ’intra-academia linkages’ occupying the bottom of the model is the most vital. Results of MICMAC show that all enablers, except ’job placement of graduates, are classified into linkage clusters, whereas ‘job placement of graduates’ is classified as an independent cluster. Overall results of the study show that enablers of quality enhancement of higher business education in Pakistan are agile and not settled. The study has profound theoretical, managerial, and practical implications for all stakeholders of business education. It also provides a research framework for future studies concerning subject phenomena. The discussion about the structural model culminates into policy guidelines for the regulators. The study is subject to some methodological/data/resources limitations like the limited review of literature, collection of data from a medium-size panel of experts from Pakistan only, using majority rule for aggregating responses, answering only that what is related to what, other common limitations of qualitative studies, shot period and absence of financial support. The authors conduct this study in a real-life field setting is built on the original dataset and address the efficient issue of phenomenon understudy differently. It is theory-building research, therefore, does not require prior theory. It exploits simple elementary concepts of Boolean algebra, set theory, and graph theory that generates new in-depth information for stakeholders.

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“…The SSIM (Table 3 ) is converted into initial reachability matrix (Table 4 ) using the classical rules of translating VAXO symbols into binary codes (Warfield 1973 ; Niazi et al 2020 ; Attri et al 2013 ).…”

Section: Methodsmentioning

confidence: 99%

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

Farooq

Rao

Shoaib

2022

Environ Sci Pollut Res

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China Pakistan Economic Corridor (CPEC) is a game changer initiative of South Asian Pacific Rim. It has great importance for almost all Asian countries. Its success is expected to dictate the economic development of the stakeholders. The aim of this study is to evaluate the essential determinants deriving the sustainability of CPEC projects. The design of the study comprises of the review of literature, data collection, and analysis. Population under study is the folk of stakeholders of CPEC. Sampling envisages on purposive sampling design, i.e., 14 experts from within the stakeholders. Primary data is collected in the field setting through a survey questionnaire appropriate for the study. ISM is used for modelling and MICMAC for analysis and classification using inductive approach. The findings of the literature survey show that there are 23 prime determinants of sustainability of CPEC projects. The results of ISM show that 13 determinants are at Level-I , nine at Level-II , and one determinant namely “economic globalization” is at Level-III being the most critical and driving determinant. The findings of MICMAC show that only one determinant is classified in independent quadrant, and all the remaining determinants are in linkage quadrant, whereas, no determinant is shown in autonomous and/or dependence quadrant. But most of the determinants have potential to be classified in dependent and independent quadrants. It is intimately evident that the results of MICMAC corroborate the results of ISM. It is useful for folk of the stakeholders by way of developing an understanding about the multitude of determinants, intra-determinant relations, prioritizing the determinants for policy decisions, and/or for building future studies. This study has some limitations, e.g., the study uses qualitative approach and answers what and how questions that do not quantify the relations or tell the cause of indicated relations. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-22813-3.

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Prioritizing determinants of effective whistle blowing (WB)

Cited by 9 publications

References 64 publications

An Analysis of Post COVID-19 Scenario using Data Science in Digital Marketing

An Analysis of Post COVID-19 Scenario using Data Science in Digital Marketing

Understanding the interaction among enablers of quality enhancement of higher business education in Pakistan

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

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