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Estimation of solar cell parameters, mathematical modeling and the actual performance analysis of photovoltaic (PV) cells at various ecological conditions are very important in the design and analysis of maximum power point trackers and power converters. This study aims to propose the analysis and modeling of a simplified three-diode model based on the manufacturer’s performance data.

A novel technique is presented to evaluate the PV cell constraints and simplify the existing equation using analytical and iterative methods. To examine the current equation, this study focuses on three crucial operational points: open circuit, short circuit and maximum operating points. The number of parameters needed to estimate these built-in models is decreased from nine to five by an effective iteration method, considerably reducing computational requirements.

The proposed model, in contrast to the previous complex nine-parameter three-diode model, simplifies the modeling and analysis process by requiring only five parameters. To ensure the reliability and accuracy of this proposed model, its results were carefully compared with datasheet values under standard test conditions (STC). This model was implemented using MATLAB/Simulink and validated using a polycrystalline solar cell under STC conditions.

The proposed three-diode model clearly outperforms the earlier existing two-diode model in terms of accuracy and performance, especially in lower irradiance settings, according to the results and comparison analysis.

This paper provides new evidence on Indian tourism firms by investigating the role of a firm's financial conditions typified by its leverage, earnings, size, cash holdings, and excess cash in moderating the pandemic-led idiosyncratic volatility in its stock prices.

The authors employ a firm-level panel comprising 82 publicly-listed tourism firms from India. Firm risk is estimated for the period beginning January 2020 to December 2020.

This paper finds non-linear effects of the pandemic on the idiosyncratic risk of the sample firms. Precisely, stock price volatility rises, but as the market absorbs this information, volatility subsides even as the disease spreads further. Further, lower levels of past debt and earnings and higher cash holdings ameliorate the pandemic's effects on tourism firms' risk. Contrasting the view that “excess” cash reflects poor operational performance, we show that “excess” cash firms are better prepared to face the adverse effects of the pandemic.

This study’s sample period fully encompasses the first wave of the pandemic (January–December 2020) of the novel coronavirus infection spread.

To the best of the authors’ knowledge, this is the first study to assess the moderating effects of company fundamentals on the risk of Indian tourism firms. In doing so, the authors account for non-linear effects of the pandemic on firms' idiosyncratic volatility over time.

This study aims to examine the association between mandatory corporate social responsibility (CSR) regulations (CSR mandate) and social disclosures (SOCDS) in India. It also investigates whether CSR committees mediate the relationship between CSR mandate and SOCDS. Furthermore, this paper explores how business group (BG) affiliation moderates CSR committee quality and SOCDS.

This study uses a data set of 5,345 observations from the Bombay stock exchange (BSE)-listed firms over 10 years (2011–2020) to examine the research questions. Baron and Kenny’s (1986) three-step model is estimated to examine the mediating role of CSR committees on the relationship between CSR mandate and SOCDS.

The study reveals that the CSR mandate positively impacts SOCDS in India due to coercive pressures. CSR committees mediate this relationship, with higher CSR committee quality leading to increased SOCDS. Furthermore, the authors report that SOCDS in India is positively related to CSR committee quality, and this relationship is stronger for BG firms. Finally, the supplementary analysis reveals that promoting CSR committee quality enhances firms’ likelihood of meeting CSR mandatory spending and actual CSR spending in India.

This research contributes to the academic literature by shedding light on the intricate dynamics of CSR mandates, CSR committees and SOCDS in emerging economies. Notably, the authors identify the previously unexplored mediation role of CSR committees in the link between CSR mandates and SOCDS. The creation of a composite index that measures complementary CSR committee attributes allows us to undertake a novel assessment of CSR committee quality. An examination of the moderating influence of BG affiliation documents the importance of CSR committee quality, particularly in governance, for enhancing SOCDS transparency within BG firms.

The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.

This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.

Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.

This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.

Currently, the design, technological features of voices, and their analysis of various applications are being simulated with the requirement to communicate at a greater distance or more discreetly. The purpose of this study is to explore how voices and their analyses are used in modern literature to generate a variety of solutions, of which only a few successful models exist.

The mel-frequency cepstral coefficient (MFCC), average magnitude difference function, cepstrum analysis and other voice characteristics are effectively modeled and implemented using mathematical modeling with variable weights parametric for each algorithm, which can be used with or without noises. Improvising the design characteristics and their weights with different supervised algorithms that regulate the design model simulation.

Different data models have been influenced by the parametric range and solution analysis in different space parameters, such as frequency or time model, with features such as without, with and after noise reduction. The frequency response of the current design can be analyzed through the Windowing techniques.

A new model and its implementation scenario with pervasive computational algorithms’ (PCA) (such as the hybrid PCA with AdaBoost (HPCA), PCA with bag of features and improved PCA with bag of features) relating the different features such as MFCC, power spectrum, pitch, Window techniques, etc. are calculated using the HPCA. The features are accumulated on the matrix formulations and govern the design feature comparison and its feature classification for improved performance parameters, as mentioned in the results.

This study examines how bilateral international trade among mandatory International Financial Reporting Standards (IFRS) adopter countries moderates the relation between IFRS adoption and firms’ financial reporting quality.

The authors use data from 2007 to 2015 and focus on publicly listed firms from non-European Union countries that adopted IFRS on a mandatory basis.

The authors find that the interaction between mandatory IFRS adoption and a country’s bilateral trade with other countries using IFRS is negatively and significantly related to accruals-based earnings management, which is an inverse measure of financial reporting quality. This result is driven by firms in less developed countries. The improvement in accounting quality is for firms located in countries that both fully and partially adopt IFRS. The authors also find a significant and negative coefficient for the relation between real earnings management and the interaction between mandatory IFRS adoption and a country’s bilateral trade with other IFRS countries in the post-global financial crisis period.

Overall, the authors’ results are consistent with the notion that the mandatory adoption of IFRS creates a positive externality where firms improve their accounting quality because increased financial statement comparability means that foreign customers and suppliers can monitor the quality of earnings more easily.

The authors seek to analyze the impact of weak corporate governance by top executives of a firm on the firm's earnings reports. This research is meant to further emphasize the impact of co-opted executives on a firm, primarily through their impact on earnings management.

Using financial data from 11,473 firm-year observations, the authors utilize ordinary least squares (OLS), 2-stage IV regressions, propensity score matching (PSM) and entropy balancing to analyze the impact of a co-opted top management team on discretionary accruals and restatements.

The authors find empirical evidence that firms with weak corporate governance from top executives are more likely to manipulate reported earnings and have lower financial reporting quality. The authors also find that the effect of co-opted executives on earnings management is weaker when a chief executive officer's (CEO’s) incentives are not aligned with those of top executives, suggesting that executives prevent earnings management due to reputational concerns. Co-opted chief financial officers (CFOs) increase the magnitude of earnings management in a firm but are not solely responsible for the authors' results.

The authors' results suggest that the top executive team provides an important first defense in the prevention of earnings management and corporate wrongdoing. Co-option of the top executive team may be an important consideration when doing research into corporate governance.

This paper examines how a firm's hierarchical complexity, which is determined by the way it organizes its subsidiaries across the hierarchical levels, can impact its stock price crash risk.

The authors employ a measure of hierarchical complexity that captures the depth and breadth of how subsidiaries are organized within a firm. This measure is calculated using information about firms' subsidiaries extracted from the Bureau van Dijk (BvD) database that allows the authors to construct each firm's hierarchical structure. The data sample includes 2,461 USA firms for the period from 2012 to 2017 (11,006 firm-year observations). Univariate tests and panel regression are used for the main analysis. Two-stage-least-squares (2SLS) instrumental variable regression and various other tests are employed for robustness check.

The results show a positive relationship between hierarchical complexity and stock price crash risk. This relationship is amplified in firms with a greater number of subsidiaries that are hierarchically distanced from the parent company as well as in firms with a greater number of foreign subsidiaries in countries with weaker rule of law.

This paper is the first to investigate the impact hierarchical complexity has on crash risk. The results highlight the role that a firm's organizational structure can have on asset pricing behavior.

Pakistan has experienced financial liberalization with rapid ups and downs in economic growth due to domestic issues during the last 2 decades. Motivated by inconclusive and conflicting time-driven findings about the performance of the business groups, this study examines the performance of business groups in Pakistan for a relatively long period from 2003 to 2018.

The study uses 3,821 firm-year observations from non-financial firms listed on the Pakistan Stock Exchange (PSX). For the estimation, pooled ordinary least squares (OLS) with industry- and year fixed effects and two-step system generalized methods of moments (GMM) are used.

The study finds that group-affiliated firms outperform independent firms in accounting performance, while underperform in market performance. The outperformance is mainly driven by medium-sized business groups, while underperformance is driven by small and large business groups. Further, the study documents that the underperformance in terms of market performance of firms affiliated with small and large groups is greater before the economic downturn, while outperformance in terms of the accounting measure of firms affiliated with medium-sized groups is greater during the economic downturn. These findings support our time-driven concerns. Overall, the authors' findings are consistent with institutional and transaction cost theories.

Business groups are important channels to reduce market inefficiencies. Business groups may enhance the affiliated firms' resources and resistance capacity through active utilization of the internal capital market, specifically when market conditions are not ideal for affiliates. However, effective utilization of internal capital markets depends on group size. Therefore, investors should deliberate on the size of business groups and diversification within business groups.

The authors extend the literature by providing fresh evidence related to the performance of business groups in the Pakistani context while accounting for the role of the size of business groups.

Africa's business environment (BE) is characteristically unfriendly and poses severe development challenges. This study evaluates the impact of business climate on productivity in sub-Saharan Africa (SSA).

Macroeconomic data for 51 sub-Saharan African economies from 1990 to 2018 are employed for the analysis. The seemingly unrelated regression model is used to address inter-sectorial linkages.

The study uncovers several findings. First, a high start-up cost substantially leads to productivity losses by limiting the funds available for investment in productivity-enhancing labour and technology and limiting the number of businesses that see the light of day. The productivity impacts of start-up costs are most enormous for industry, followed by services and agriculture. Second, economies with favourable financing environments tend to be more productive economy wide and sector wise. Third, high taxes and tax inefficiency lower productivity by reducing the resource envelope of firms, thus lowering investment amounts. Fourth, poor business infrastructure inflicts the most damage on productivity. Lastly, business administration and macroeconomic environments impact sectoral and economy-wide productivity.

SSA economies must strive to lower the cost of starting a business as high start-up costs injure productivity. One way of reducing start-up costs is to create a one-stop shop for registering and formalising a business. Another way is to automate business registration and administrative processes to reduce red tape and corruption.

The authors extend the body of knowledge by analysing sectoral and economy-wide productivity effects of various business climate indicators while accounting for inter-sectoral linkages, cross-sectional dependence and endogeneity.