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Governance can often be assessed as one part of directing companies’ action toward something better. This study examines how governance quality at the country level and firm level can affect sustainability performance that aligns with sustainable development goals (SDG). Prior academic literature explains that if a country has a low institutional condition, it is a great challenge to implement sustainability. However, the internal awareness of the company to implement sustainability plays an important role as well. To examine the research question, this study uses the banking sector as a research sample with an observation period from 2017 to 2019. Prior literature overlooks research in the banking sector and does not feature country-level governance with firm-level governance. The data were collected either from the annual report or sustainability report, which comprises 141 companies, with the total observation of 423 firm-year. This study used panel data regression analysis and was based on the Hausman Test; it shows that random effect is used to test the hypothesis. This research finds that good quality governance at the country level, results in good sustainability performance. However, contrary to expectations regarding the quality of firm-level governance, which is thought to be positively related to sustainability performance, this study found a negative relationship. The argument that might answer the finding is the existence of governance conditions at the state level and at the firm level that mutually subsidize each other. This research contributes to policymakers continuing to provide counseling and improve institutional conditions to motivate companies to support the achievement of the SDGs. Companies should also pay attention to the effectiveness of their internal governance and strive to use stakeholder opinions as a guide in the realization of SDGs.

The issues of development of decisions are very important during formation of the system of management of modern business systems in the conditions of turbulence of external conditions. The ideas of rational structuring of information flows, which are used for decision making, are related to the necessity for development of communicative culture of companies. Quality of interaction between persons that participate in decision making should be assessed by analyzing the ratio of probabilities that characterize quality of information and correctness of decisions and development of a special model.

This chapter aims to verify predictors of marital quality in Croatia. As a theoretical starting point, the Huston Socio-ecological model was used. Huston’s so-called “wide-angle and close range” variables were included in to study as predictors of marital quality. A two-level hypothetical model was created consisting of Six groups of predictor variables: Level 1 predictors included Partners’ demographic variables, Partners’ personality, Partners’ value system, Marital processes or dynamics, and Partners’ wellbeing. Level 2 predictors included four Marriage characteristics. Altogether at both levels, 42 variables represented predictors. Marital quality in the marriage was a dependent variable. Eight hundred and eighty-four marital couples from 14 counties in various parts of Croatia and from Zagreb, the country’s capital, were included in the study. Factor analysis, Maximum likelihood with Promax rotation was used to extract factors. Eight factors were extracted: Marital harmony, Distress, Partners’ personality, Negative spillover from work, Traditionalism, Engagement in child care, Participation in decision-making, and Economic hardship. Multilevel analysis using the Mix model in Statistical Package for Social scientist, version 20 was used in data analysis. Predictive on Marital quality in a marriage turned out variables: Marital harmony, Distress, Partners’ personality, Traditionalism, Engagement in child care, and Participation in decision-making as level 1 and Marriage duration (Marriage stages) as a level 2 variable. Huston’s Ecological model proved to be adequate and useful in explaining marital quality.

The UNESCO Institute for Statistics (UIS) is mandated by the international community to collect, analyse and disseminate internationally comparable statistics on education, including those on and related to teachers. Based within a framework that emphasises quantity and quality issues for teachers, this chapter describes the current UIS international collection of teacher data, the policy options they intend to inform, as well as key limitations and challenges of the present data. In reaction to this, the chapter also presents UIS’s on-going developmental work related to the global data collection and statistics on primary and secondary teachers ranging from the measurement of current shortages, particularly in developing countries aiming to achieve universal primary education (UPE), to the expansion of an international framework that sheds additional light on teacher and teaching quality.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.