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This paper aims to focus on the selection of an appropriate nature-inspired texture pattern for cutting tool tribological surface. The selection process uses the recognized skin textures of different snakes scrolling on highly rough and projected surface conditions to analyze suitability of texture based on the texture geometry and machining conditions. The work also aims to propose a texture pattern selection process to incorporate on cutting tool tribological surface.

The selection of alternative nature-inspired texture patterns based on the texture pattern geometry and machining properties leads to a multi-criteria decision-making problem. Thirteen criteria are considered for selecting an appropriate texture pattern among 14 alternatives, i.e. nature-inspired texture patterns. In the present work, an integrated analytical hierarchy process (AHP)-TOPSIS, AHP-multi-objective optimization on the basis of ratio analysis (MOORA) and AHP-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) approaches have been proposed for the selection of an appropriate nature-inspired texture pattern. AHP is used for the formulation of decision-making matrix and criteria weight calculations and ranking of alternatives is done by three methods. Spearman’s correlation compared and found positive relations between rank assigned by methods. Experimental validation is done in Lathe for selected texture effects.

The texture parameters C-1 (Width of texture) and C-2 (Depth of texture) are found significant, while T-2 (Blended Krait) and T-6 (Banded Racer-1) texture is found optimal to generate on cutting tool surface.

Only some nature-inspired texture patterns have been recognized before the selection; an infinite number of textures are available in nature. The size of the texture pattern is difficult to identify by the selection process because each texture pattern may have different effects on tribological surfaces.

The proposed selection methodology of nature-inspired texture patterns will help identify optimal texture geometry for specific tribological applications. The nature-inspired texture patterned tool has a significant impact on the cutting force and temperature due to its tribological effect on the cutting tool surface; it decreases the power required for machining. The machining characteristics like roughness are found to decrease by using nature-inspired texture patterned tools.

Various nature-inspire texture studies to generate specific effects on the tribological surfaces may be started study for the surface of aircraft, ships, bearings, etc. Small and big fabrication industries may benefit by decreasing the cost of machining using nature-inspired texture-patterned tools. Research society will pay attention to nature’s inspiration.

Novel snake-skin-inspired texture patterns are recognized and hybrid MCDM methods are proposed to select optimal texture pattern. Proposed method used single time normalization to effectively rank the alternatives. The insights gained from this research can be extrapolated to address similar challenges in selecting nature-inspired textures for various applications.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0163/

The study aims to examine the heterogeneous effects of physical infrastructure on farm and non-farm sector output in 16 prominent states of India for the period 2005–2019.

We construct a composite physical infrastructure index comprising four indicators namely road density, rail density, tele-density and per capita power availability using the principal component analysis (PCA) method. We estimate the impact of physical infrastructure on aggregate as well as farm and non-farm sector output using the fixed effects regression with Driscoll–Kraay (FE-DK) standard errors to account for cross-sectional dependence in our sample. Furthermore, to mitigate the potential endogeneity concern, we utilise the panel instrumental variable (IV) regression method to estimate the model.

Our results imply that physical infrastructure plays a significant role in driving economic growth. We find that infrastructure development affects the non-farm sector output positively while the farm sector output remains unaffected.

Due to data limitations, our study is based on 16 prominent states only. It is plausible that the selected infrastructure indicators are not highly relevant for the farm sector. Further research can be done to identify appropriate infrastructure that helps stimulate agriculture sector output.

We examine the varying effects of physical infrastructure on farm and non-farm sector output in the Indian context. To the best of our knowledge, this is the first study that examines the effect of infrastructure development on sectoral output at the sub-national level.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2024-0468

The surge in internet usage has generated widespread speculation and optimism regarding its potential impact on the accessibility to financial services. The aim of this study is to investigate the effect of internet penetration on the accessibility of banking services in developed and developing countries.

Panel data regression methods are used to estimate the impact of internet penetration on accessibility to banking services in a sample of 74 countries from Global Findex survey waves of 2011, 2014, 2017 and 2021. To mitigate potential issues related to heteroscedasticity, autocorrelation and cross-sectional dependence, the study has implemented cluster robust standard errors testing. Furthermore, as a sensitivity check, the sample has been segregated into developed and developing country groups.

The study finds a significant positive correlation between internet penetration and banking access in full sample. Subsample analysis reveals that this relationship is statistically significant in developed countries, but not in developing ones, despite being positive. The research discusses the implications of these findings for both country groups.

Research to date has largely investigated the link between information and communication technology (ICT) and financial inclusion, often treating internet penetration as one component of ICT, which obscures its individual influence. This study, however, isolates internet penetration to specifically analyze its distinct effects on banking accessibility across developed and developing countries.

This paper aims to investigate two issues. First, the authors test the effect of the Sarbanes–Oxley Act (SOX) on audit quality after 10 years. Second, the authors test whether it was necessary to close all of the Arthur Andersen offices due to the misbehavior of a few (e.g. the Houston and Atlanta offices).

The authors have used conservatism (Basu) as a proxy for audit quality.

The authors find that, over the long run (10 years) after SOX adoption, there is a significant positive change in conservatism as compared to during the previous similar period. In addition, the authors find that only 6 of the 20 city-level offices of Arthur Andersen were less conservative than were their other Big 6 competitors in the same city. Furthermore, the results also suggest that some city-level offices of Arthur Andersen were engaged in more conservative accounting practices than were their competitors and the Houston Andersen offices.

This study documents, using empirical evidence, that the implementation of SOX is successful, and that one factor that helped lead to this success might be the harsh punishment on Arthur Andersen.

The purpose of this paper is to examine the link between banking crises and the subjective well-being of individuals. In addition, the authors examine the transmission of crises from the banking sector to well-being and show that negative financial shocks have significant adverse effects.

The authors employ agent-based modeling to test for the direct and indirect welfare effects of banking crises. The model includes a support vector machine (SVM) optimized subjective well-being function. The existing literature suggests that this is influenced by both the negative psychological effects of recessions and the adverse economic effects of income loss and increased unemployment.

The authors show that the different choices of policy response to a banking crisis carry different opportunity costs in terms of welfare and that societal preferences should be taken into account. The authors demonstrate that these effects influence different population classes in an asymmetric manner. Finally, the results demonstrate that the welfare loss of a bank failure is much higher than the cost of a bailout.

The authors are able to propose to the authorities the best policy mix in order to handle banking crises in the most adequate manner, according to society's preferences between financial stability and public goods.

The findings extend the existing literature on subjective well-being, by quantifying the welfare cost of banking crises and showing that authorities should reconsider bank bailouts as a policy solution to bank distress.

The originality of this article lies in the use of an agent-based model to model the relationship between societal well-being and financial stability. Also, the authors extend existing agent-based methodologies to include machine learning optimization techniques.

The main purpose of the study is to investigate the impact of gender diversity both at the board and workforce level on firm performance (FP) in the Indian context.

This study is based on annual data of 200 companies listed on Bombay Stock Exchange (BSE) for the period 2012–2019. The authors have used the fixed-effects (FE) regression and system generalized method of moments to estimate the impact of board gender diversity and workforce gender diversity (WGD) on FP. The authors have used Blau's Index (BI) and Shannon's Index (SI) to measure gender diversity. Further, the authors have used return on assets and Tobin's Q (TBQ) to measure FP.

The authors' panel regression results suggest that board gender diversity and WGD have a positive and statistically significant impact on FP. The authors' findings are robust across different methods of estimation and alternative measures of FP.

This paper examines the impact of gender diversity both at the board and workforce level on FP of 200 companies listed on BSE. The authors' study contributes to the literature that is sparse in the Indian context and provides new insights on the impact of board and WGD on FP. The findings have useful policy implications. To achieve better performance, it is imperative to appreciate gender diversity at the governance and workforce level in a fast-growing economy like India.

The purpose of this paper is to comparatively analyze how top corporations in New Zealand, Australia and the Global Fortune 500 group communicate about climate science.

A combination of keyword count and quantitative content analysis is used to develop a reliable set of indicators to measure corporate communication about climate science.

Just a few corporations mention or explicitly agree with scientific consensus on climate change and few report science-based targets. They report more frequently on societal risks of climate change, as well as business contribution and responsibility. New Zealand based corporations generally do poor reporting compared to Australian corporations, who do as well as the biggest corporations in the world.

There is a further need for cross-country research and for more longitudinal analysis to understand how organizations communicate about scientific issues to its stakeholders.

This paper can inform communication managers about the need to pay attention to how their communication, individually and in comparison with their peers, is likely interpreted by the stakeholders. Managers may attend to scientific consensus messaging to gain stakeholder approval for ambitious business actions on climate change.

Organizations are powerful social and economic drivers. Understanding how they interpret and communicate a scientific issue has implications for public and policy discourses and outcomes.

This is the first paper to comparatively identify common and contextual drivers of business communication of complex scientific issues. A reliable scale to measure climate science communication by corporations will be helpful for future researchers to replicate in other sectors.

The purpose of this paper is to examine whether surge in foreign direct investment (FDI) inflows leads to surge in economic growth in 52 developing countries for the period 1990-2014.

The author used a threshold approach to identify surge incidences in gross domestic product (GDP) per capita growth rates and FDI inflows (measured as percentage of GDP) for each country included in the sample. Three different criteria are used to identify surge instances. As a preliminary analysis the author used the probit and complementary log–log regression methods to estimate the likelihood of growth surge occurrence. To correct the potential endogeneity problem the author jointly estimated the growth surge and FDI surge equations using the recursive bivariate probit (RBP) regression.

The author found that East Asia and the Pacific region has highest rate of growth surge incidences followed by South Asia. The results suggest that surge in FDI inflows significantly increases the likelihood of growth surge. The finding is robust to alternative surge definitions and methods of estimation.

The analysis reveals that inbound FDI flow is a critical driver of economic growth in developing countries. Large FDI inflows matters for achieving rapid economic growth. Therefore developing countries should adopt favourable policies to attract more FDI. Policymakers should focus on improving the investment climate of the country to boost domestic investment and to attract larger amount of FDI into the economy.

To the best of the author’s knowledge this is the first study to examine whether surge in FDI inflows stimulates surge in economic growth in developing countries. The analysis reveals that FDI surge is a robust predictor of rapid economic growth in developing countries.

The purpose of this paper is to examine the relationship between financial development, openness in financial services trade and economic growth in BRICS countries for the period 1990–2012.

An index for financial development has been constructed using principal component analysis technique by including banking sector development, stock market development, bond market development and insurance sector development. For the robustness of the result, the long-run cointegrating relationship amongst the variables has been analyzed.

Overall financial development has a positive and significant impact on economic growth. To take the full advantage of openness in financial services trade, countries need to put more emphasis on the development of their stock markets, bond markets and the insurance sector. The result shows that openness in financial services trade has a positive impact on economic growth when the stock market, bond market and insurance sector are included in the system.

The policy implication of the findings is that policymakers should focus more on developing all four areas of finance to get the full benefit of the financial system on the process of economic growth.

The authors have constructed the better indicators of financial development in the case of BRICS economies. Most of the studies in BRICS economies have measured the development of the financial sector as either banking sector development or stock market development. However, the present study includes all four areas of finance (banking sector development, stock market development, insurance sector development and bond market development) into account.

The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors that influence BDA usage and adoption in the context of emerging economies.

This study proposed a theoretical model of factors influencing BDA utilization and adoption. Two independent research streams – first, the top managers’ perceived strategic value (PSV) in BDA and second, the factors that influence the adoption of BDA theoretically – have been integrated with the technology-organization-environment (TOE) framework. In the BDA context, there was a theoretical necessity to identify the driver and barriers of BDA from the TOE framework on PSV and adoption of BDA. A qualitative exploratory study using face-to-face semi-structured interviews was carried out to collect data from 22 different enterprises and service providers in India. India was selected as the context as it is one of the fastest growing large economies of the world with huge potential of BDA to improve the business landscape.

The results showed that the major reason behind BDA non-adoption is that the organizations did not realize the strategic value (SV) of BDA, and they were not ready to make the changes because of technological, organizational and environmental difficulties. The findings corroborate previous results about significant factors affecting IT adoption and implementation and provide new and interesting insights. The main factors identified as playing a significant role in organizations’ adoption of BDA were SV of BDA, complexity, compatibility, IT assets, top management support, organization data environment, perceived costs, external pressure and industry type.

The main limitation related to this study is the difficulty in generalizing the findings to a larger population of enterprises. To overcome this, a statistical survey has been planned to be conducted in the future.

The BDA adoption model in this study will have both managerial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BDA adoption in developing counties, in terms of formulating better strategies for BDA adoption. For managers, using the research model of this study could assist in increasing their understanding of why some organizations choose to adopt BDA, while similar ones facing similar conditions do not. Also, the understanding of the strategic utilization of BDA in different business processes may improve the adoption of BDA in organizations.

This paper contributes in exploring and enhancing the understanding of the factors affecting the utilization and adoption of BDA in organizations from an Indian perspective. This study is an attempt to develop and explore a BDA adoption model by the fusion of PSV and TOE framework. The effect of the three contexts of this framework (technological, organizational and environmental) on the strategic utilization of BDA has been studied for the first time.