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Many decision rules are rational but opaque, and many others are irrational but transparent. This paper aims to propose a theoretical framework to operationalize opacity in decision-making – the degree to which a decision rule is intelligible to the decision maker.

The authors operationalize opacity and discuss the implication of opaque decision-making in organizational settings through a typology, where decision rules can be rational or irrational and opaque or transparent.

The authors show that opacity is asymmetric as different organizational actors possess different degrees of knowledge about how the decision rules work. Organizational actors often opacify the decision rules to increase their power (based on asymmetric knowledge). Opacity also presents a significant impact on organizational accountability, as transparent organizations are more reputable.

This contribution represents the first theoretical and methodological articulation of opacity in decision-making, within a bounded and ecological rationality framework; it also sheds new light on the role of cognitive biases in organizational settings.

The study examines the impact of uncertainty on bank opacity while particularly taking into account the moderating role of market structures.

Using a sample of Vietnamese banks from 2007 to 2019, the paper measures uncertainty at the disaggregate level of the banking sector through the dispersion of bank shocks and capture bank opacity from the perspective of bank earnings management based on discretionary loan loss provisions. The authors apply both structural and non-structural proxies of bank competition/concentration to better explore the role of market structures. Empirical regressions are conducted using the fixed effect regressions with Driscoll–Kraay standard errors and the two-step system generalized method of moments (GMM) technique, and then verified by the least squares dummy variable corrected (LSDVC) estimator.

Bank earnings opacity is less severe in periods of higher uncertainty. Further analysis documents that the negative impact of uncertainty on bank earnings opacity is stronger when the level of bank competition increases or when bank market power decreases.

The finding highlighting the conditioning role of market structures is entirely novel in the uncertainty-bank opacity literature. Moreover, in providing additional evidence on the significant impact of uncertainty on bank opacity, while prior related studies explore economic policy uncertainty, the authors utilize micro uncertainty in banking that exhibits enormous superiority.

This paper aims to examine the relationship between societal trust and bank asset opacity using an international sample of banks.

The authors use an international data set of banks and panel regressions. For robustness purposes, the authors use multiple measures of both societal trust and bank opacity as well as two-stage least squares regressions to address endogeneity concerns.

The authors find that societal trust is negatively associated with the opacity of bank portfolios.

Results of this study inform regulators on the importance of trust for the banking sector and support policies towards enhancing trust in banks. Also, a sustained environment of high levels of trust in banks can prevent the introduction of extensive prudential regulations that policymakers often use to establish trust, as well as lower the additional resources required when trust levels are low.

To the best of the authors’ knowledge, this is the first study that examines this relationship. The literature provides only limited evidence and not for the banking sector, for which opacity is of outmost importance.

The purpose of this paper is to understand the financial opaqueness established through offshore businesses and financial secrecy through the requirements of information exchanges, and their deadly combination for facilitating money-laundering activities and tax evasion. It also puts into light some key recommendations for a country like Nepal that has been struggling to put adequate efforts into understanding financial opacity and secrecy.

This paper navigates through global issues on layering through opaque corporate structures, and mechanisms required for information exchange so as to figure out solutions and challenges to address them by developing countries like Nepal, with specific actions pertaining to Nepal.

Understanding financial opacity and secrecy is a prerequisite to tackling financial crimes. While focusing on global solutions and inherent challenges regarding such issues, concerted efforts are required to capacitate a country on contextual matters.

This work is an original work with an analysis of a global issue in an interconnected world with solutions catered to the local contexts of Nepal.

This study examines the importance of income income-shifting arrangements of US multinational corporations (MNCs) on future stock price crash risk.

This study employs a sample of 7,641 corporation-year observations over the 2005–2017 period and uses ordinary least squares regression analysis.

The authors find that the income-shifting arrangements of MNCs are positively and significantly associated with stock price crash risk after controlling for corporate tax avoidance and other known determinants of stock price crash risk in the regression model. This result is robust to alternative measures of stock price crash risk and income-shifting, and several endogeneity tests. The authors also observe that income-shifting arrangements increase stock price crash risk both directly and indirectly through the information opacity channel. Finally, in cross-sectional analyses, the authors find that the positive association between income-shifting and stock price crash risk is more pronounced for MNCs that use tax haven subsidiaries and have weak corporate governance mechanisms.

The authors provide new empirical evidence that MNCs will likely face significant capital market consequences regarding their income-shifting arrangements.

Titanium dioxide (TiO₂) has high opacity, high brightness and whiteness, owing to its high refractive index value. It is mainly used in the coating industry and continuous efforts have been made to replace some of the TiO₂ in paint with new pigments. This study aims to replace part of TiO₂ pigment with various percentages of BaSO₄, CaCO₃ and kaolin in styrene butyl acrylate-based paint formulations, without changing the properties of paints using only titanium dioxide.

To determine the optimum use rate of new pigment mixing, opacity, gloss, scrub resistance and weather resistance properties have been investigated in the water-based paint formulation. The morphological properties of these samples were examined by scanning electron microscopy analysis.

In the total color change (ΔE) measurements, it was observed that the sample coded 85Ti/15Ba produced extremely similar results to the situation when TiO₂ was used alone. It was seen that the best results were obtained when 85Ti/15Ba was used instead of TiO₂.

Comparison research on the impact of replacing TiO₂ with BaSO₄, CaCO₃ and kaolin on the performance characteristics of water-based styrene butyl acrylate-based paint formulations has not been done in the literature, according to the literature search.

AI is an emerging tool in HRM practices that has drawn increasing attention from HRM researchers and HRM practitioners. While there is little doubt that AI-enabled HRM exerts positive effects, it also triggers negative influences. Gaining a better understanding of the dark side of AI-enabled HRM holds great significance for managerial implementation and for enriching related theoretical research.

In this study, the authors conducted a systematic review of the published literature in the field of AI-enabled HRM. The systematic literature review enabled the authors to critically analyze, synthesize and profile existing research on the covered topics using transparent and easily reproducible procedures.

In this study, the authors used AI algorithmic features (comprehensiveness, instantaneity and opacity) as the main focus to elaborate on the negative effects of AI-enabled HRM. Drawing from inconsistent literature, the authors distinguished between two concepts of AI algorithmic comprehensiveness: comprehensive analysis and comprehensive data collection. The authors also differentiated instantaneity into instantaneous intervention and instantaneous interaction. Opacity was also delineated: hard-to-understand and hard-to-observe. For each algorithmic feature, this study connected organizational behavior theory to AI-enabled HRM research and elaborated on the potential theoretical mechanism of AI-enabled HRM's negative effects on employees.

Building upon the identified secondary dimensions of AI algorithmic features, the authors elaborate on the potential theoretical mechanism behind the negative effects of AI-enabled HRM on employees. This elaboration establishes a robust theoretical foundation for advancing research in AI-enable HRM. Furthermore, the authors discuss future research directions.

The study aims to determine the the optimal value of output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The output parameters of a variable compression ratio (CR) diesel engine are investigated at different loads, CR and fuel modes of operation experimentally. The performance parameters like brake thermal efficiency (BTE) and brake specific energy consumption (BSEC), whereas CO emission, HC emission, CO₂ emission, NO_x emission, exhaust gas temperature (EGT) and opacity are the emission parameters measured during the test. Tests are conducted for 2, 6 and 10 kg of load, 16.5 and 17.5 of CR.

In this investigation, the first engine was fueled with 100% diesel and 100% Calophyllum inophyllum oil in single-fuel mode. Then Calophyllum inophyllum oil with producer gas was fed to the engine. Calophyllum inophyllum oil offers lower BTE, CO and HC emissions, opacity and higher EGT, BSEC, CO₂ emission and NO_x emissions compared to diesel fuel in both fuel modes of operation observed. The performance optimization using the Taguchi approach is carried out to determine the optimal input parameters for maximum performance and minimum emissions for the test engine. The optimized value of the input parameters is then fed into the prediction techniques, such as the artificial neural network (ANN).

From multiple response optimization, the minimum emissions of 0.58% of CO, 42% of HC, 191 ppm NO_x and maximum BTE of 21.56% for 16.5 CR, 10 kg load and dual fuel mode of operation are determined. Based on generated errors, the ANN is also ranked for precision. The proposed ANN model provides better prediction with minimum experimental data sets. The values of the R² correlation coefficient are 1, 0.95552, 0.94367 and 0.97789 for training, validation, testing and all, respectively. The said biodiesel may be used as a substitute for conventional diesel fuel.

The blend of Calophyllum inophyllum oil-producer gas is used to run the diesel engine. Performance and emission analysis has been carried out, compared, optimized and validated.

The purpose of this study was carried out to explore the potential use of carrageenan extracted from marine red seaweed (Kappaphycus alvarezii) collected from Munaikadu, Mandapam region, Ramanathapuram district, Tamil Nadu.

Biodegradable film was developed by using carrageenan extracted by using alcohol extraction method. To improve the mechanical properties of the film, rice starch was incorporated. The biodegradable films were made by phase inversion method with varied carrageenan concentration of 1%, 1.5% and 2% (w/v) and rice starch with concentration of 0%, 1%, 1.5% and 2% (w/v). Physical properties, optical properties, mechanical properties and other properties such as biodegradability, solubility and water vapor permeability of the developed biodegradable films were characterized. The results were analyzed in design expert software using Box–Behnken design.

Results show that the biodegradable film’s mechanical and water vapor permeability increases with an increase in carrageenan and rice starch concentration. The optimized film structure was obtained with carrageenan and rice starch composition of 1.5% and 2%, respectively.

The results shown a broad spectrum of commercial applications and future rice starch possibilities incorporated in the carrageenan-based biodegradable film.

The purpose of this study is to investigate the implementation of International Financial Reporting Standard (IFRS) 16 in developing countries to enhance asset pronouncements or the quality of opaque accounting information for listed firms’ leasing transactions.

This study designed ordinary least square (OLS) regression models to examine the hypotheses in two ordered tests. The first-order test ascertained the association between fundamental accounting information and earnings or stock prices. Then, the second-order test was nested to add the instrument variable to the first-order one. In addition, the researchers selected 17 Asia-Pacific countries.

First, this study contributes to the fair value of firms’ asset measurements, and the accounting discipline requires adaptive scalability to produce future potential cash flows. Second, it reduces literature gaps between the pros and cons of the opaqueness of assets. In addition, these research arguments would be the referee for reducing information’s opacity. Finally, this study demonstrates the impact of IFRS 16’s implementation on firms’ conservatism levels and entropy’s information quality, requiring the regulators to accommodate these issues.

Due to the implementation of IFRS 16, the authors are neutral about the impacted financial statements and political consequences for these Asia-Pacific listed firms and countries. First, we propose the uniqueness of problematic elaboration since implementing IFRS 16 results in a more pronounced or opaque information quality due to vulnerable complexities in the financial statements. Second, this implementation is associated with hierarchical information and conservatism, producing accounting information entropy or negentropy. However, the hierarchy theory suggests various levels of conservatism that could increase or decrease the information’s quality.