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A majority of products for manufacturing or consumers have multiple characteristics that must meet the requirements of the customer. For example, a steel beam any have dimensional tolerances on its length, width, or height and functional tolerances on its strength. The characteristics are influenced by different processes that create the product. For an individual characteristic, process capability measures exist that convey the degree to which the characteristic meets the specification requirements. Such measures may indicate the proportion of nonconforming product related to the particular characteristic, under some distributional assumptions of the characteristic. For products with multiple characteristics, the unit costs of rectification may be different, making the satisfaction of some characteristics meeting customer requirements more important than others. In this paper, an aggregate process capability performance measure is developed that considers the relative importance of the characteristic based on unit costs of nonconformance. Based on the aggregate measure, appropriate process capability measures for the individual measures are also derived. Bounds on the aggregate capability measures are also established.

The purpose of this paper is to use data on new apartment offerings in the municipality of Sao Paulo, Brazil to illustrate its main claim that the hedonic direct method using time dummies as well as the simple average method include cyclical behavior of observables and non‐observables in a house price index that may overestimate or underestimate the actual change in house prices, well beyond the composition effects.

The paper proposes the use of alternative characteristics hedonic functions to compute alternative Laspeyres house price indexes that differentiate the sources of observable shocks in the index. The decomposition allows for the inclusion of level and cyclical behavior of sets of aggregate variables into the index.

The appropriate house price index should filter out real shocks that potentially affect the real estate sector. An index should capture nominal variation and incorporating real variation biases the measurement. Thus, the index is intended and able to buffer the bias spillover into the rest of economy. In the limited sample from the city of Sao Paulo, Brazil, the main finding is that real shocks and US foreign shocks give an upward bias in the house price index, while nominal shocks give mostly a downward bias. Real shocks make the index incorporate gains that should not be incorporated into the index, thus providing a noisy picture of the nominal variation in house prices.

The key contribution of this paper is to provide a framework for the construction of a house price index that filters out real shocks that potentially affect the real estate sector. An index should capture nominal variation and incorporating real variation biases the measurement. Those biases can spillover to the rest of the economy is a detrimental way. Thus, the index is intended and able to buffer the bias spillover into the rest of economy.

Recently many European countries have incurred crises in public finance despite the fact that EU institutions have pushed the national governments toward the sustainability of public finance with compulsory and voluntary rules regarding fiscal governance. This paper investigates the relations between the quality of fiscal governance and the financial virtuosity of national fiscal policy. We proposed a general framework for analyzing the fiscal governance issue and we empirically tested the correlation between the dimensions of fiscal governance and the budgetary performance of EU countries. The results showed a positive correlation between the quality of fiscal governance in the EU countries and financial surplus in the period concerned. However further investigations are needed and an effort should be made to collect uniform data on fiscal governance in the European Union.

The objectives of this paper are to examine the level of environmental disclosure in annual reports made by Malaysian public listed companies for the year ended 2009, and to investigate whether there are any relationships between board characteristics (board size and board independence), firm characteristics (business type) and human capital characteristics (age, knowledge background and proportion of female directors) and environmental disclosure in Malaysian public listed companies' annual reports for the year ended 2009.

The study constructs the environmental disclosure index with 11 disclosure themes based on research by Sharifah et al. to determine the environmental disclosure level. The study uses content analysis to find the environmental disclosure items and constructs an environmental disclosure index from the companies' annual reports. Hierarchical regression analysis is used to examine the relationships between the environmental disclosure index and board characteristics (board size and board independence), firm characteristics (business type) and human capital characteristics (age, knowledge background and proportion of female directors).

The results of the study reveal that there is a significant relationship between the existence of an independent non-executive chairman, the chairperson's age, the existence of a CEO with a law background and the industry type with the extent of environmental disclosure. The industry type is found to be the most significant variable that influences the level of environmental disclosure in Malaysian public listed companies for the year ended 2009.

The findings are limited to Malaysian public listed companies for the year January to December 2009. The source of the data used in this study is companies' annual reports only. This study has several implications that may apply in many countries, irrespective of whether they are developing or developed countries. First, it provides strong evidence to show that boards of directors and human capital are significant variables in the extent of disclosure. Second, it is useful to managers, especially to boards of directors in Malaysia, in identifying board characteristics and human capital characteristics that could improve companies' environmental activities; these could be disclosed in the interest of stakeholders and the public's environmental concern. Third, this study can also be used as an initial step for companies in to be involved in environmental activities. Prior studies have proved that these activities could enhance companies' image and reputation and could offer financial benefits to the business.

The study extends the previous studies by the inclusion of human capital characteristics as a factor that influences environmental reporting in Malaysia. This study has demonstrated that to mitigate the agency problems between firms and shareholders, society and stakeholders, and particularly environmental impact, the inclusion of human capital characteristics as an indicator may help to reduce expected costs and negative impacts on firm value, and may also demonstrate to society and the company's stakeholders that individual firms are doing their part to help solve society's social and environmental problems through additional disclosures.

As corporations continue to face substantial information asymmetries between managers and shareholders, they must decide how to mitigate this agency problem using various mechanisms of corporate governance. Two of these mechanisms include the board of directors and takeover defenses. The purpose of this paper is to show that rather than having an additive effect, the marginal benefit of using one of these mechanisms declines as the use of the other increases.

Using a governance index that measures the firm's takeover defenses and a unique board of directors index, the study employs both univariate analyses and multivariate simultaneous equation modeling in order to test the hypotheses.

The results of these tests show that these two measures of corporate governance should be viewed as a set rather than as individual components. In other words, a strong board is inversely related to strong shareholder protection in the form of takeover defenses. The study further analyzes the extent to which growth opportunities influence this relationship using a logistic regression approach. It appears that a firm's opportunity for growth is related to the strength of its board of directors, yet not to its governance provisions.

By analyzing a specific combination of current corporate governance practices, these results can assist firms at a practical level by providing information on optimal solutions to the agency problem.

The purpose of this study is to substantiate the matrix approach to digitalization of management objects based on identification of relevant qualitative characteristics of these objects and its dichotomies, which allowing determine the quantity and quality of their main variants, as well as the relationships between them.

Methods of classification and typology are selected as study methods, and binary matrices are used as the tool to determine the main variants of management objects, assign binary codes to it and form codes of more complex management objects on its basis, depending on the content of study tasks.

The main results of study include the classification of organization components; variants for choosing qualitative characteristics of chains components; adjusted content of methodology of qualitative research of management objects; sequences of “up” and “down” digitization of these objects; actual qualitative characteristics of e components of management objects and dichotomies; and variants of forming of ciphers of these objects.

The use of study results allows to reduce the complexity of substantiating and making managerial decisions in organization and supply chains, to structure these decisions by man-agement levels and positions and to reduce costs, time and lost profits for fulfilling orders of end consumers of products and/or services.

The originality of this study is confirmed by the substantiation of choice and use of actual qualitative characteristics of management objects and its dichotomies, which allow obtaining two variants of these objects and assigning them binary codes processed using computer software for management activities.

Educational policies, integrated practices, obliged strategies and notable benchmarks are always required by the higher educational institutions (HEIs) for operating business ventures into competent boundaries and to preside toward the overall new business density. The same are needed to be evaluated based on student's concerns for road-mapping sustainability. Accordingly, authors conducted present study to identify crucial quality characteristics (measures) under the origins of HEIs based on student's concerns using qualitative medium under Indian economy. The study is presenting critical dimensions and quality characteristics, which are seeking by the students for selecting HEIs for their studies.

Kano integrated-Grey-VIKOR approach is utilized in present study for road-mapping sustainability based on the determination of priority index and ranking. The study utilized three segments of methodology, where in the first segment, Kano technique is implicated to define priority index of quality characteristics. In the second segment, grey sets theory is implicated to capture the perceptions of the respondents. In the third segment, VIKOR technique is implicate to rank the HEIs.

The findings of the study will assist administrators in planning the prominent strategies that can embrace performance traits under HEI, which in turn will participate in growth and development of an economy. The findings have revealed “PPCS, ICMC, TSTR, PICM, AFEP, IMIS as Attractive performance characteristics,” “IEAF, OIAR, INET as One dimensional performance characteristics,” “QTCS, PORE, SIRD as Must-be performance characteristics” and “PQPE, PCTM as Indifferent performance characteristics.” Additionally, “Professional and placement characteristics of institute” is found as the most significant measure inspiring students for admiring engineering institutes. It is found that “Observance of institutional affiliation and recognition” and “Infrastructure, classroom management and control methods” are found as the second significant measures. “Patterns of question papers and evaluation medium” and “Personal characteristics of teacher and management” are found as the least competent characteristics admiring stakeholders for selecting HEI.

The present study can assist administrators in drafting refined policies and strategies for practising quality outputs by HEI. The study suggested critical quality characteristics, which in respond will aid in attracting more number of students toward educational institutes. A study under Indian context is demonstrated for presenting critical facts and attaining higher student's enrolment rates.

China's marine economy occupies an important position within the national economy, and its contribution thereto is constantly improving. The overall operation of the marine economy shows positive developmental trends with potential for further growth. The purpose of this research is to analyse the prosperity of China's marine economy, reveal trends therein and forecast the likely turning point in its operation.

Based on the periodicity and fluctuation of China's marine economy development, China's marine economic prosperity indicator system is established from five perspectives. On this basis, China's marine economic operation prosperity index can be synthesised and calculated, then a dynamic factor model is constructed. Using the filtering method to calculate China's marine economic operational Stock–Watson index, Markov switching has been used to determine the trend to transition. Furthermore, China's current marine economic prosperity is evaluated through analysis of influencing factors and correlation analysis.

The analysis shows that, from 2017 to 2019, the operation of the marine economy is relatively stable, and the prosperity index supports this finding; meanwhile it also exposes problems in China's marine economy, such as an unbalanced industrial structure, low marine economic benefits and insufficient capacity for sustainable development.

Through the analysis of the prosperity of China's marine economy, the authors reveal the trends in China's marine economy and forecast its likely future turning point.

We know a great deal about the ways in which routines of news coverage may bias newspaper content, but little about how different article retrieval practices influence newspaper data assembled by scholars. Using the New York Times as a source of data on social movement activity, we compare depictions of protest by the African-American Civil Rights movement over time produced using the two most common article retrieval methods: index versus full-story coding. Full-story coding clearly offers more depth and greater breadth in terms of the events identified. Moreover, many of the same event characteristics associated with selection bias in newspaper reporting (e.g., size and confrontational nature of a protest event, presence of counter-demonstrators or police, and event sponsorship by a recognized social movement organization) are selected upon again when stories are indexed by New York Times staff.

The measurement of property portfolio performance is an important issue that, superficially, appears very straightforward. All that is required is an index of property market movements which can then be used as a reference point for comparing performance. Problems can arise, however, if the statistical characteristics of the index are different from the portfolio being analysed. This is not a trivial issue as the difference can be large enough to obscure the true performance of the portfolio and can lead to an inaccurate diagnosis of investment skill. Draws on recent research into index construction and examines some of the issues surrounding these problems. Discusses tracking errors and benchmarking issues.