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Cloud computing (CC) refers to the usage of virtualization technology to share computing resources through the internet. Task scheduling (TS) is used to assign computational resources to requests that have a high volume of pending processing. CC relies on load balancing to ensure that resources like servers and virtual machines (VMs) running on real servers share the same amount of load. VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data.

VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data. With a large number of VM or jobs, this method has a long makespan and is very difficult. A new idea to cloud loads without decreasing implementation time or resource consumption is therefore encouraged. Equilibrium optimization is used to cluster the VM into underloaded and overloaded VMs initially in this research. Underloading VMs is used to improve load balance and resource utilization in the second stage. The hybrid algorithm of BAT and the artificial bee colony (ABC) helps with TS using a multi-objective-based system. The VM manager performs VM migration decisions to provide load balance among physical machines (PMs). When a PM is overburdened and another PM is underburdened, the decision to migrate VMs is made based on the appropriate conditions. Balanced load and reduced energy usage in PMs are achieved in the former case. Manta ray foraging (MRF) is used to migrate VMs, and its decisions are based on a variety of factors.

The proposed approach provides the best possible scheduling for both VMs and PMs. To complete the task, improved whale optimization algorithm for Cloud TS has 42 s of completion time, enhanced multi-verse optimizer has 48 s, hybrid electro search with a genetic algorithm has 50 s, adaptive benefit factor-based symbiotic organisms search has 38 s and, finally, the proposed model has 30 s, which shows better performance of the proposed model.

User’s request or data transmission in a cloud data centre may cause the VMs to be under or overloaded with data. To identify the load on VM, initially EQ algorithm is used for clustering process. To figure out how well the proposed method works when the system is very busy by implementing hybrid algorithm called BAT–ABC. After the TS process, VM migration is occurred at the final stage, where optimal VM is identified by using MRF algorithm. The experimental analysis is carried out by using various metrics such as execution time, transmission time, makespan for various iterations, resource utilization and load fairness. With its system load, the metric gives load fairness. How load fairness is worked out depends on how long each task takes to do. It has been added that a cloud system may be able to achieve more load fairness if tasks take less time to finish.

This chapter aims to evaluate the relationship between the representation of women on corporate boards of directors and its impact on firm financial performance.

This study utilized both a systematic review and a meta-analysis, using a sample of 40 published studies, which gleaned financial indicator and observation data from 28 different countries.

As indicated in previous studies, while positive, there was no significant correlation found between the number of women serving on the boards of directors and firm financial performance.

The heterogeneity between the various studies analyzed may present difficulties in making general conclusions. The chapter could also be subject to publication bias, as the selection criteria included may indicate a need for further peer review. Future meta-analyses should include data associated with other financial indicators.

This study shows how composition ratios of men/women serving on corporate boards should be addressed in terms of proving for a greater diversity of leadership perspectives.

Previous systematic reviews and meta-analyses have analyzed country environments as moderators for the relationship between the representation of women on corporate boards and firm financial performance. The present study evaluates possible differences between the impact of the number of women serving on the board of directors on a variety of financial indicators (ROA, ROE, and Tobin’s Q).

The purpose of this paper is to examine the role of self-help groups (SHGs) in providing an environment for the empowerment of Indian rural women. The authors argue that the SHG empowerment strategy paves the way for the process of development of bottom-up empowerment of women. The authors argue that SHG is a systematic strategy and is not solely based on credit, but also incorporates many other dimensions necessarily required for developing an empowerment process.

A qualitative study was the choice of design due to the inherent inability of the structured surveys to understand women empowerment (Mayoux, 1998), as this study was basically interested in the women’s perception of their own empowerment. To explore their experience, a series of semi-structured interviews and focus group discussions were conducted.

The authors stand by the application of SHG empowerment strategy in India and go against the rhetoric statements that “top to bottom” approach does not lead to a significant bottom-up empowerment.

The survey was conducted by the authors in the vicinity of rural Jaipur, Rajasthan, India. Moreover, during the survey, it was found out that participation in SHG facilitates women to know the current state of disempowerment and provides them strength, capacity to come out from the status of drudgery, poverty and seclusion.

Online transparency has become a tool to increase legitimacy and trust in governments. The purpose of this paper is to study the online transparency of Spanish Central Government agencies and analyze whether their corporate governance (CG) structures influence their online transparency.

The information used for building an online transparency index and about the board of directors has been collected from the websites of the 168 agencies and from their statutes and activity reports. Ordinary least squares analysis is used. Based on a previous literature review and the requirements of the EU Directive and Spanish legislation, 108 items included in the websites have been analyzed.

The average information displayed through the website agencies is significantly less than the information considered as relevant in previous literature and in the Spanish legislation. The highest values are presented by the technical dimensions and the lowest by the organizational/political dimension. The presence of independent directors and women on the boards of directors are revealed as the most important explanatory factors of online transparency.

Practical implications to improve online transparency are related to the organizational/political dimension – including the positions and CVs of members of governing bodies, minutes, etc. and to the presence of independent directors and, to a lesser extent, of women, on the board of directors.

The contribution of this paper is the identification of some online transparency determinants in public entities under the same general legal framework. This is the first paper that analyzes the relationship between online transparency and CG in public agencies.

This study aims to evaluate the financial performance of the textile industry in Haryana located in the northern part of India.

Input-oriented Cooper, Charnes and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) techniques of data envelopment analysis, as well as the return to scale (RTS) technique, were used to conduct the analysis.

The findings show that textile units in Haryana have hugely underperformed financially with a consolidated technical efficiency score of only 0.35. Both private and public limited textile companies with respective scores of 0.46 and 0.24 are technically efficient. Public limited textile companies are more efficient than private limited companies. Private limited textile companies need to increase their input scale because they are operating at an increasing return to scale while public limited textile companies have to lower their input scale because most companies are operating at a decreasing return to scale to enhance their efficiency.

The study can assist in decision-making to all key stakeholders (Shareholders, management, government, tax authorities, debtors and creditors, among others) by identifying efficient and inefficient companies. Appropriate policies can be framed based on that knowledge.

This study aims to examine the link between boards and audit committees and firm performance in Kuwaiti listed firms in the context of recent and extensive corporate governance regulatory reform.

Panel data regression analysis with fixed effects and clustered standard errors of firm performance for 61–97 listed industrial and services firms in Kuwait over a seven-year period. The dependent variables are the returns on assets and equity, the debt-to-equity ratio and leverage and Tobin’s Q and the independent variables comprise board of directors and audit committee characteristics, including size, the number of meetings and the numbers of independent and outside board and expert committee members. Firm size, subsidiary status and cash flow serve as control variables.

Mixed results with respect to the characteristics of the board of directors. Board size and independent and outsider board members positively relate only to Tobin’s Q and insiders only to debt to equity. For audit committee characteristics, committee size, independence and expertise positively relate to the return on equity and committee size and expertise only to Tobin’s Q. Of the five performance measures considered, board and audit committee characteristics together best determine Tobin’s Q.

Data from a single country limits generalisability and control variables necessarily limited in a developing market context. Need for qualitative insights into corporate governance reform as a complement to conventional quantitative analysis. In combining accounting and market information, Tobin’s Q appears best able to recognise the performance benefits of good corporate governance in terms of internal organisational change.

The recent corporate governance code and guidelines reforms exert a mixed impact on firm performance, with audit committees, not boards, of most influence. But recent reforms implied most change to boards of directors. One suggestion is that non-market reform may have been unneeded given existing market pressure on listed firms and firms anticipating regulatory change.

Kuwait’s corporate governance reforms codified corporate governance practices already in place among many of its firms in pursuit of organisational legitimacy, and while invoking substantial change to audit committees, involved minor change to firm performance, at least in the short term. Some firms may also have delisted in expectation of stronger corporate governance requirements. Regardless, these direct and indirect processes both improved the overall quality of listed firm corporate governance and performance in Kuwait.

Seminal analysis of corporate governance reforms in Kuwait, which have rapidly progressed from no corporate governance code and guidelines to an initially voluntary and then compulsory regime. Only known analysis to incorporate both board of directors and audit committee characteristics. Reveals studies of the corporate governance–firm performance relationship may face difficulty in model specification, and empirical significance, given the complexity of corporate governance codes and guidelines, leads in changing firm behaviour and self-selection of firms into and out of regulated markets.

The case study will help to learn about the importance of pre-sanction precautionary measures before lending to self-help groups (SHGs), to learn about the potential lapses and errors while sanctioning SHG finance and to learn about the importance of bank’s guidelines and compliance before sanctioning loans.

This case study details the tenure of Seema in a rural branch of Safe Bank of India located in Haryana which she joined as a manager in the year 2016. She overachieved the target given by the district collector office, and going by the tide, she kept her reliance on the references provided by non-government organization (NGO) without complying the bank’s instructions. She committed errors while sanctioning the loans, which led towards the upsurge of non-performing assets of the branch. Later on, after investigation it was discovered that she did not follow fundamental bank’s instructions. In wake of those lapses and errors, how she could have avoided those lapses and secure the public money? What were the most important documents while granting agriculture finance and what due diligence she should have taken? How did she treat calls from the government departments? Was she right in trusting the suggestions of the NGO?

This case study caters to students of various streams, namely, management, business administration and law, and can be targeted at both undergraduate and postgraduate students. It could be suitable for several types of courses and students. Furthermore, this case study can also be targeted for various training programmes for bank employees and employees of various lending institutions engaged in agriculture finance and credit linkage programmes.

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CSS 1: Accounting and finance.

As more women are now being appointed to senior and top management positions and invited to sit on boards of directors, they are now directly participating in strategic company decision-making. As female directors have been found to provide new ideas, increase company competitiveness, efficiency and performance and bring a greater number of external resources to a company than male directors, this paper aims to put female directors as a variable into the data envelopment analysis (DEA) and statistical models to explore the effect of female directors on operating performances. The DEA first quantified and measured the company efficiencies, after which the statistical model analyzed the correlations between the variables to specifically identify the impact of female decision makers on the operating efficiencies in state-owned and private enterprises.

A novel two-stage, meta-hybrid dynamic DEA was developed to explore Chinese cultural media company efficiencies under optimal input and output resource allocations, after which Tobit Regression was applied to determine the effect of female executives on these efficiencies.

From 2012 to 2016, the overall efficiencies in Chinese state-owned cultural media enterprises were better than in the private cultural media enterprises. The overall technology gaps (TGs) in the state-owned cultural media enterprises were better than in the private cultural media enterprises.

Previous research has tended to focus on the causal relationships between female senior executives and business performances; however, there have been few studies on the relationships between female executives and company performance from an efficiency perspective (optimal resource allocation). This paper, therefore, is the first to develop a novel two-stage, meta-hybrid dynamic DEA to examine Chinese cultural media enterprise efficiencies, and the first to apply Tobit Regression to assess the effect of female executives on those efficiencies.

This paper aims to examine the effect of family control on corporate anticorruption disclosures of UK publicly listed firms and whether female board directors moderate the latter relationship.

This paper uses Poisson regression analysis for a sample of 1,546 FTSE 350 firm-year observations. Weighted least squares and propensity score matching are then used to assess the robustness of the findings.

The results show that family ownership and involvement are negatively associated with anticorruption disclosures. The tests of moderation indicate that female directors decrease the negative effect of family control on anticorruption disclosures.

To the best of the researcher’s knowledge, this paper is the first to investigate the impact of family control on anticorruption disclosures while taking into consideration the moderating effect of female directors.

This study aims to evaluate the impact of gender diversity on corporate boards on firms’ financial performance in the context of the Indian information and technology (IT) sector. The Companies Act 2013 brought forth mandatory provisions for the appointment of women directors for a certain class of companies. This study explores the case of board gender diversity in the Indian IT sector’s unique setting.

The study uses a fixed effect panel data regression model to achieve its objectives. Two widely used diversity measures, Blau Index and Shannon Index, have been used to enhance the robustness of the results.

The results of the study indicate an insignificant relationship between gender diversity and firms’ financial performance. Even the diversity indices portray insignificant results confirming the outcomes of the study. The study indicates that IT sector firms have not been able to leverage the benefits of board gender diversity.

The results of the study have important policy implications for the government, regulatory bodies and corporates. The outcomes point out that the benefits that could have accrued based on the diversity aspect could not be harnessed, as the women’s representation on corporate boards is extremely low. Policymakers and government shall focus on devising stringent laws so that better representation of women directors can be used for the interests of the firms.

The study is an attempt to fill the gap in the extant literature which has a scarce number of studies conducted in the unique setting of the IT sector (both in developed and developing economies). To the best of the authors’ knowledge, this is the first study on the influence of board gender diversity in the IT sector of a developing economy, backed by socio-cultural reasons.