Analyzing the barriers to putting corporate financial expropriations to a halt: A structural modeling of the phenomenon

Abstract

Dealing with expropriating investors’ money is a demanding issue in the corporate sector. This study aims to unveil the barriers to putting expropriations to halt, extract the structure underlying the relationships among barriers, and classify them. The study design entails a literature survey, primary data collection, modeling of the issue, and analysis. This study uses Interpretive Structural Modeling (ISM) and Matriced Impacts Cruise’s Multiplication Appliquée a UN Classement (MICMAC) to address this issue. The study uses a non-probability-based purposive sampling technique. The data were collected from a panel of experts consisting of 12 chief financial officers recruited from companies listed on the Pakistan Stock Exchange, Pakistan, from July to September 2022. We find that a “complicated legal system” is the most critical barrier to putting expropriations to a halt, followed by barriers such as “flawed hiring” and “lack of media attention.” In addition, the least critical are barriers such as “loopholes in laws,” “ineffective law enforcement,” “politicized accountability,” and “lack of international coordination.” It is an original and valuable study based on real-time data collected from the respondents having hands-on helm of the companies’ financial affairs. This is a seminal practical study for policymakers and other stakeholders to understand the barriers to halting corporate scandals and explain expropriations.

Research on quantitative evaluation of digital economy policy in China based on the PMC index model

“… Note: The formulation of Policy Type (X1) is based on reference [ 27 ]. The formulation of Policy Effectiveness (X2) is based on reference [ 28 ]. The formulation of Policy Level (X3) is based on reference [ 29 ].…”

“…The formulation of Policy Guarantee (X5) is based on references [ 28 , 29 ], and text mining results. The formulation of Policy Audience (X6) is based on references [ 28 , 29 ], and text mining results. The formulation of Policy Objectives (X7) is based on references [ 28 , 29 ], and text mining results.…”

“…It uses relevant research methods to systematically measure and judge the effectiveness of policy intervention and implementation [ 27 ]. Through the evaluation of digital economy policies, not only can scientific judgments be made on the value of the policies themselves [ 28 ], but also the actual effects of policy formulation and implementation can be tested [ 29 ]. Therefore, in view of this, this article combines digital economy policy sample analysis, text mining, and PMC index model to construct a quantitative evaluation index system for digital economy policies.…”

Relationship of Corporate Social Responsibility and Impulse Buying: Role of Corporate Reputation and Consumer Company Identification

“…IJMRES 13(1) 2023, 123-154 Corporations can learn two important lessons with the implementation of CSR initiatives. The first lesson is an unambiguous position both in the society and the consumer's mind (Fu et al, 2022;Orazalin, 2020). The other is the strong connection with existing and new consumers, known as C-C identification (Deng and Xu, 2017;Fatma et al, 2018).…”

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

“…ISM and MICMAC are standalone structural methodologies using the inductive approach that have the capability of representing poorly articulated complex relations into a simple and useful structural model (Warfield, 1973 and1974;Sushil, 2017). This methodology is preferred over other statistical methodologies particularly in exploratory studies (Chidambaranathan et al, 2009;Shaukat et al, 2021;Fu et al 2022a;Fu, et al, 2022b;Abbass, et al, 2022b;Abbass, et al 2021;Shaukat, et al, 2021a). It uses limited primary data and by exploiting the elementary concepts of Boolean algebra, set theory, and directed graph theory provides a lot of new insights into the phenomenon (Abbass et al, 2021;.…”