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The interdisciplinary nature of video networking, coupled with various recent developments in standards, proposals and applications, poses great challenges to the research and industrial communities working in this area. The main purpose of this paper is to provide a tutorial and survey on recent advances in video networking from an integrated perspective of both video signal processing and networking.

Detailed technical descriptions and insightful analysis are presented for recent and emerging video coding standards, in particular the H.264 family. The applications of selected video coding standards in emerging wireless networks are then introduced with an emphasis on scalable video streaming in multihomed mobile networks. Both research challenges and potential solutions are discussed along the description, and numerical results through simulations or experiments are provided to reveal the performances of selected coding standards and networking algorithms.

The tutorial helps to clarify the similarities and differences among the considered standards and networking applications. A number of research trends and challenges are identified, and selected promising solutions are discussed. This practice would provoke further thoughts on the development of this area and open up more research and application opportunities.

Not all the concerned video coding standards are complemented with thorough studies of networking application scenarios.

The discussed video coding standards are either playing or going to play indispensable roles in the video industry; the introduced networking scenarios bring together these standards and various emerging wireless networking paradigms towards innovative application scenarios.

The comprehensive overview and critiques on existing standards and application approaches offer a valuable reference for researchers and system developers in related research and industrial communities.

The purpose of this paper is to provide to the Board of Directors and CEOs of a firm to be aware of and accountable for the information they provide to the public. As long as the quality of the companies’ public information is high, it will be able to retain its investors as well as to obtain new ones more easily.

This paper introduces a Multi-Criteria Decision Aid (MCDA) tool with the use of the PROMETHEE II method to formulate an alternative aggregate ESG quality approach. We conduct comparisons in a sectorial and regional based perspective during different exam periods before and after the implementation of International Financial Reporting Standards (IFRS), in an attempt to provide a robust framework for corporate disclosure reporting.

The findings are of particular interest to both scholars and decision-makers, including providers of corporate governance indices and rating agencies. The innovation of this paper lies among others in using the MCDA method with the ESG framework, which proposes a combination of qualitative and quantitative criteria, enabling experienced and/or not experienced analysts to avoid manipulating techniques in business information.

The sample of companies based on the US and Europe companies incorporating only large-sized ones.

Findings are of particular interest to both scholars and decision-makers including providers of corporate governance indices and rating agencies.

Better understanding features pay key importance for increasing the “quality” information in firms financial statements, especially after the use of IFRS in reporting standards.

The authors proceed to analysis using a multiple perspective use that is decomposed into the following options: (a) Time-period oriented option, (b) Regional-oriented option and (c) Sectoral-oriented option respectively.

This article explores the negative attitudes towards the United States that exist in present day Greek society. The anti‐US attitudes in Greece are greater than in other EEC member countries and exist across various social and economic characteristics of the Greek population. Possible reasons for and sources of these attitudes are explored.

The purpose of this research is to compare the board quality's (BQ) impacts on the financial performance (FP) of conventional and Islamic banks (IBs) after the Subprime financial crisis. The main reason is to help financial stakeholders choose the best performing and most appropriate bank type with its engagement based on the BQ index.

Based on the existing gap in previous researches and by using the GLS method (Generalized Least Squares method), the author compared the BQ's impacts on the FP of conventional and IBs. Settings of the FP and BQ were collected from 30 countries located on 4 continents. Two equal samples were tested; each of them is composed of 112 banks. The author concentrated only on the banks that have published regularly the banks' annual reports over the period 2010–2018.

Cylindrical panel results revealed that in conventional banks (CBs), the BQ has negatively affected banks' FP, while in IBs the BQ's impacts on the banks’' FP is ambiguous. Nevertheless, the positive impacts are more significant on the IBs' FP than the negative impacts on the IBs' FP.

The main practical contribution is the identification and distinction between the impacts of board determinants' quality on the shareholders' profits in the case of conventional and IBs. Hence, conventional or IBs which have a bad BQ will generate less FP and will be classified as a lender of bankruptcy danger for the bank customer. Besides, whatever the bank type, in a financial stable period, good BQ positively influences FP and provides a good impression to stakeholders. Otherwise, FP indicates that the banks suffer from the weaknesses of the board quality determinants.

Returning to the finance and banking governance literature, the author's article provides the first conditional and demonstrative analysis that detailed a logical comparative process to analyze the correlation between the board determinants' quality and the financial performance of conventional and IBs. However, previous research has always discussed the main role of the board as an internal governance mechanism on the FP separately in each bank type.

The purpose of this study is to empirically examine the impact of Indian firms' intellectual capital on firm performance, as well as the moderating effects of age and gender therein.

The research initially develops a theoretical model, through extant works and theories, which is subsequently empirically validated using the partial least square structural equation modeling technique with 328 respondents from 12 Indian firms.

The study concludes that specific dimensions of firms' intellectual capital, including structural capital, human capital and customer capital, positively and significantly impact firm performance, which in turn provides the firm competitive advantages. The study also finds that there are significant moderating effects of age and gender on the relationship between firm's intellectual capital and firm performance.

Further to its evident contribution to scholarly knowledge and its provision of a validated model, which could be used in other emerging and developed markets as well, the research provides valuable practicable directions to firm executives regarding the importance and utilization of the structural, human and customer capital in improving firm performance and strengthening its competitive edge.

The study adds valuable knowledge to the body of literature on intellectual capital, through its explicit empirical findings, as well as through its focus on the significant emerging market of India.

As agent‐based systems are increasingly used to model real‐life applications such as the internet, electronic markets or disaster management scenarios, it is important to study the computational complexity of such usually combinatorial systems with respect to some desirable properties. The purpose of this paper is to consider two computational models: graphical games encoding the interactions between rational and selfish agents; and weighted directed acyclic graphs (DAG) for evaluating derivatives of numerical functions. The author studies the complexity of a certain number of search problems in both models.

The author's approach is essentially theoretical, studying the problem of verifying game‐theoretic properties for graphical games representing interactions between self‐motivated and rational agents, as well as the problem of searching for an optimal elimination ordering in a weighted DAG for evaluating derivatives of functions represented by computer programs.

A certain class of games has been identified for which Nash or Bayesian Nash equilibria can be verified in polynomial time; then, it has been shown that verifying a dominant strategy equilibrium is non‐deterministic polynomial (NP)‐complete even for normal form games. Finally, it has been shown that the optimal vertex elimination ordering for weighted DAGs is NP‐complete.

This paper presents a general framework for graphical games. The presented results are novel and illustrate how modeling real‐life scenarios involving intelligent agents can lead to computationally hard problems while showing interesting cases that are tractable.