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The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

Economic policy uncertainty (EPU) has huge impact and harm on real economy, so the economic logic and other economic effects behind this must be further studied. By constructing the “China Economic Policy Uncertainty Index” to capture the degree of EPU faced by Chinese companies, the authors empirically test whether and how EPU affects the level of executives' perquisite consumption.

This study investigates the relationship between EPU and executive perquisite consumption based on a sample of 3,185 publicly listed firms in China. To examine the relationship between EPU and executives' perquisite consumption, a mixed least squares method was used for regression. To alleviate the problem of missing variables that do not change over time and control the influence of unobservable individual heterogeneity at the firm level, the firm fixed effects model is used for regression.

The study finds that EPU is positively associated with executive perquisite consumption. This positive association is stronger for firms with smaller size, lower management shareholding and higher levels of separation of ownership and control. Effective external governance (i.e., analyst coverage, media coverage, auditor and market competition) can mitigate the relationship between EPU and executive perquisite consumption. Further analysis reveals that EPU increases executive perquisite consumption by holding more cash and decreasing firm risk taking. EPU hurts market value of firms by boosting executive perquisite consumption and tunneling.

In an environment with high EPU, the board of directors should reduce managers' compensation performance sensitivity to ease the agency conflict caused by uncertainty. Firms should improve their governance mechanisms and standard and pay attention to their environmental changes. Policymakers should pay attention to maintaining the continuity and predictability of policies, stabilizing the economic policy expectations of market entities and avoiding frequent changes in policies that can harm economic and firm value. The regulatory authorities should actively guide listed companies to increase active information disclosure during periods of high policy uncertainty.

This study contributes to the research on corporate governance by showing how EPU influences executives' behaviors. The authors advance relative studies by showing that this uncertainty embedded in a firm's external environments influences executive perquisite consumption. This study also contributes to the literature on how internal and external governances influence corporate behavior during uncertainty. These findings extend this line of research by suggesting that effective external governance is an attribute that can alleviate the effect of uncertainty on managers' opportunistic behaviors.

This paper empirically investigates whether female CEOs (She-E-Os) have an effect on firm innovation among Chinese listed firms based on patent data. This study also delved further by looking at whether the internal corporate environment moderates the effect of female CEOs on innovation, that is, state ownership. Finally, this study investigates an additional test of financial constraints to examine whether financial constraints also moderate the impact of female CEOs on firm innovation.

This study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2008 to 2017. The authors use ordinary least squares regression as a baseline methodology, along with firm-fixed effect, lagged measure of female CEOs, alternative measures of innovation, Heckman two-step model and negative binomial regression to check and control the possible issue of endogeneity.

The authors’ findings show that CEO gender plays an important role in producing higher levels of innovation output by improving the governance structure. However, female CEOs have no effect on state-owned enterprises' (SOEs) innovation activities, which suggests that the main goal of SOEs is achieving sociopolitical objectives. Furthermore, female CEOs' influence on innovation output is weaker in firms with financial constraints.

This study adds to the emerging global discussion on gender diversity. Many legislative bodies require a quota for women on corporate boards due to gender inequality. This study's findings reinforce such guidelines by emphasizing the economic benefits of including women in top management positions.

This study provides new insights by highlighting the role of female CEOs in increasing firms' innovation activities. Additionally, this study provides evidence on whether the internal corporate environment (state ownership and financial constraints) moderates female CEOs' effect on innovation.

The present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in the revision step.

The cases were extracted by studying 68 water-related projects. This research employs earned value management (EVM) factors to consider time and cost features and economic, natural, technical, and project risks to account for uncertainties and supervised learning models to estimate cost overrun. Time-series algorithms were also used to predict construction cost indexes (CCI) and model improvements in future forecasts. Outliers were deleted by the pre-processing process. Next, datasets were split into testing and training sets, and algorithms were implemented. The accuracy of different models was measured with the mean absolute percentage error (MAPE) and the normalized root mean square error (NRSME) criteria.

The findings show an improvement in the accuracy of predictions using datasets that consider uncertainties, and ensemble algorithms such as Random Forest and AdaBoost had higher accuracy. Also, among the single algorithms, the support vector regressor (SVR) with the sigmoid kernel outperformed the others.

This research is the first attempt to develop a case-based reasoning model based on various risks and uncertainties. The developed model has provided an approving overlap with machine learning models to predict cost overruns. The model has been implemented in collected water-related projects and results have been reported.

The study aims to work on two objectives, first to provide a theoretical foundation along with ongoing trend in the field of green human resource management (GHRM) and employee green creativity (EGC) in the hospitality and tourism industry. Second, the study also proposes a conceptual research model to understand the dynamics of the relationship between GHRM and EGC for future studies.

The study uses multi-method approach, systematic literature review and bibliometric analysis is performed on published work on GHRM and EGC. This study initially shortlisted 52 publications from multiple databases, which was refined to 11 Scopus-indexed papers, which discussed both GHRM and EGC attributes in a hospitality context. VOSviewer and advance excel software's are being used to perform the analysis.

The systematic literature review concluded that very limited studies have been conducted on GHRM and EGC in the hospitality context and it has recently gained prominence during the covid pandemic. While bibliometric analysis also identified h-index authors with their co-authorship network, citations and keywords matrix and the changing trends in the domain of GHRM and EGC in hospitality and tourism industry. The analysis also highlights the individual and organisational factors influencing the relation between GHRM and EGC.

This study is the first to conduct a systematic literature review and bibliometric analysis on GHRM and EGC in hospitality and tourism sector. Moreover the paper also provides researchers with an in-depth summary of the available literature and a blue print for future studies on GHRM and EGC.

The purpose of this paper is to adopt the theory of planned behavior to close the entrepreneurial attitude–intention–behavior gap in the entrepreneurship field as well as test the key moderators of the entrepreneurial process, starting from entrepreneurial attitude and intention to behavior to engage in entrepreneurial activities – namely, entrepreneurship education.

The research used a sample of 2,566 students from 16 universities in Vietnam. First, Cronbach’s alpha and confirmatory factor analysis have been used to test the reliability and validity of scales. Then the coefficient paths in the conceptual framework were tested through structural equation modeling, and indirect associations were estimated via the PROCESS bootstrapping approach.

The research illustrated that both attitudes toward entrepreneurship and entrepreneurial intention serve as the central antecedents in the formation of entrepreneurial behavior. Also, when students are more entrepreneurially educated, the linkage between attitude toward entrepreneurship and entrepreneurial behavior was hypothesized to become stronger, yet the relation between entrepreneurial intention and behavior was weakened.

This research suggests useful recommendations for educators and policymakers to encourage university students’ favorable attitudes toward entrepreneurial activities, their intention to engage in them and their subsequent entrepreneurial behavior.

This research is expected to make a significant contribution to the entrepreneurship literature by closing the entrepreneurial attitude–intention–behavior gap as well as enriching our understanding of the influence of entrepreneurship education on the entrepreneurial process. Importantly, this research reveals that entrepreneurial education significantly moderates the effects of attitude toward entrepreneurship and entrepreneurial intention on entrepreneurial behavior.

As the benefit of gender diversity continues to receive significant attention, a holistic investigation of its effect on corporate financial distress (CFD) is lacking. Therefore, this study examines the effects of board gender diversity, measured in different forms, such as the presence and proportion of female directors, family-affiliated female directors and the chief executive officer (CEO) gender, on CFD in Pakistan. The study also investigates the interacting effects of family-controlled (20 and 50% family-owned) companies on the association between board gender diversity and CFD.

The study applied the pooled cross-sectional logistic regression model to examine the effect of board gender diversity (presence and proportion of female directors, family-affiliated female directors and CEO gender) on CFD through a sample of 285 non-financial companies in Pakistan over the period of 2006–2017.

The results reveal that gender diversity on boards is significantly and negatively associated with CFD in Pakistan. In addition, when family ownership is 50% or more, the interacting effect of family control is found to be significant, while gender effects remain negative. The results suggest that female directors contribute to the long-term viability of companies, especially family-owned companies. Female directors are also found to be more prevalent in family-owned companies compared to their non-family counterparts.

The findings imply that female directors may efficiently manage and control all functions necessary to guarantee the company's long-term prosperity. Similarly, gender effects can outweigh the detrimental impact of family control when female directors are in reasonable numbers and of high quality in the boardroom.

The practical relevance of the findings is that female directors play a significant role on the corporate board. Thus, it is a wakeup call for Pakistani companies to recognize the critical role and uniqueness of women on the corporate ladder. Family companies can also galvanize on the uniqueness of women to improve their governance structure.

This study adds to the literature on the benefits of gender diversity in family and non-family-owned companies. Specifically, this study applied multiple measures of gender diversity and family control in a single study. In addition, the study was conducted in a country that is ranked as the second worst country in the Global Gender Gap Index 2022, implying that investigating this type of research would go a long way towards changing the minds of corporate executives and regulators about the critical role that women can play in the economy.

This study aims to propose the reuse of PA12 (powder) in another AM process, binder jettiinng, which is less sensitive to the chemical and mechanical degradation of the powder after multiple cycles in the laser system.

The experimental process for evaluating the reuse of SLS powders in a subsequent binder jetting process consists of four phases: powder characterization, bonding analysis, mixture testing and mixture characteristics. Analyses were carried out using techniques such as Fourier Transform Infrared Spectroscopy, scanning electron microscopy, thermogravimetric analysis and stress–strain tests for tension and compression. The surface roughness, color, hardness and density of the new mixture were also determined to find physical characteristics. A Taguchi design L8 was used to search for a mixture with the best mechanical strength.

The results indicated that the integration of waste powder PA12 with calcium sulfate hemihydrate (CSH) generates appropriate particle distribution with rounded particles of PA12 that improve powder flowability. The micropores observed with less than 60 µm, facilitated binder and infiltrant penetration on 3D parts. The 60/40 (CSH-PA12) mixture with epoxy resin postprocessing was found to be the best-bonded mixture in mechanical testing, rugosity and hardness results. The new CSH-PA12 mixture resulted lighter and stronger than the CSH powder commonly used in binder jetting technology.

This study adds value to the polymer powder bed fusion process by using its waste in a circular process. The novel reuse of PA12 waste in an established process was achieved in an accessible and economical manner.

This paper adopts a modified Taguchi approach to develop empirical relationships to the performance characteristics (output responses) in terms of process variables and demonstrated their validity through comparison of test data. The method suggests a few tests as per the orthogonal array and provides complete information for all combinations of levels and process variables. This method also provides the estimated range of output responses so that the scatter in the repeated tests can be assessed prior to the tests.

In order to obtain defect-free products meeting the required specifications, researchers have conducted extensive experiments using powder bed fusion (PBF) process measuring the performance indicators (namely, relative density, surface roughness and hardness) to specify a set of printing parameters (namely, laser power, scanning speed and hatch spacing). A simple and reliable multi-objective optimization method is considered in this paper for specifying a set of optimal process parameters with SS316 L powder. It was reported that test samples printed even with optimal set of input variables revealed irregular shaped, microscopic porosities and improper melt pool formation.

Finally, based on detailed analysis, it is concluded that it is impossible to express the performance indicators, explicitly in terms of equivalent energy density (E_0ˆ*), which is a combination of multiple sets of selective laser melting (SLM) process parameters, with different performance indicators. Empirical relations for the performance indicators are developed in terms of SLM process parameters. Test data are within/close to the expected range.

Based on extensive analysis of the SS316 L data using modified Taguchi approach, the optimized process parameters are laser power = 298 W, scanning speed = 900 mm/s and hatch distance = 0.075 mm, for which the results of surface roughness = 2.77 Ra, relative density = 99.24%, hardness = 334 Hv and equivalent energy density is 4.062. The estimated data for the same are surface roughness is 3.733 Ra, relative density is 99.926%, hardness is 213.64 Hv and equivalent energy density is 3.677.

Even though equivalent energy density represents the energy input to the process, the findings of this paper conclude that energy density should no longer be considered as a dependent process parameter, as it provides multiple results for the specified energy density. This aspect has been successfully demonstrated in this paper using test data.

Additive manufacturing (AM) has been one of the most highlighted processes of the last few years. AM prints complex parts and items from 3D files regarding different materials, such as polymers. Moreover, there are different AM techniques available for polymers, such as selective laser sintering. In the SLS technology, polyamides 11 and 12 lead 88% of the market. These materials are high-cost and use an average of 50% of virgin material at each printing. It is possible to use lower rates of virgin material, but at least 30% is recommended. Low rates of virgin material decrease mechanical properties.

This study aims to evaluate the influence on the mechanical properties of the percentage of reused PA12 in parts manufactured by the SLS process. The specimens of PA12 were manufactured with a percentage of virgin/reused polymer of 50/50, 40/60, 30/70, 20/80 and 10/90. We considered three distinct printing directions to compare the mechanical properties of the specimens: horizontal, perpendicular and vertical.

The results showed that when the percentage of reused material increases, the tensile strength limit (TSL), flexural strength limit and Shore D hardness decrease. Another aspect visualized was the fragile behavior presented in the vertical specimens. In addition, DSC analysis indicated a 2% reduction of crystallinity. Scanning electron microscopy images revealed spherical voids and unfused particles of PA12 at the fracture of tensile test specimens. The material thermal history and unfused particles could decrease the material properties.

We observed that the mechanical properties, such as the TSL, flexural strength limit and hardness, decrease as the percentage of reused material increases. In addition, the process presented a printing-direction dependence, where the vertical direction presented as the more brittle between the ones used.