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The purpose of this paper is to evaluate some numerical integration strategies used in generalized (G)/extended finite element method (XFEM) to solve linear elastic fracture mechanics problems. A range of parameters are here analyzed, evidencing how the numerical integration error and the computational efficiency are improved when particularities from these examples are properly considered.

Numerical integration strategies were implemented in an existing computational environment that provides a finite element method and G/XFEM tools. The main parameters of the analysis are considered and the performance using such strategies is compared with standard integration results.

Known numerical integration strategies suitable for fracture mechanics analysis are studied and implemented. Results from different crack configurations are presented and discussed, highlighting the necessity of alternative integration techniques for problems with singularities and/or discontinuities.

This study presents a variety of fracture mechanics examples solved by G/XFEM in which the use of standard numerical integration with Gauss quadratures results in loss of precision. It is discussed the behaviour of subdivision of elements and mapping of integration points strategies for a range of meshes and cracks geometries, also featuring distorted elements and how they affect strain energy and stress intensity factors evaluation for both strategies.

In this paper we give a synoptic view of the growth of the text processing technology of information extraction (IE) whose function is to extract information about a pre‐specified set of entities, relations or events from natural language texts and to record this information in structured representations called templates. Here we describe the nature of the IE task, review the history of the area from its origins in AI work in the 1960s and 70s till the present, discuss the techniques being used to carry out the task, describe application areas where IE systems are or are about to be at work, and conclude with a discussion of the challenges facing the area. What emerges is a picture of an exciting new text processing technology with a host of new applications, both on its own and in conjunction with other technologies, such as information retrieval, machine translation and data mining.

This study looks at board governance in Ontario hospitals.

We conducted a research of the hospitals’ websites and a survey of board directors to study the board structure and examine governance practice in Ontario hospitals.

The findings suggest that the board structure and process in Ontario hospitals are in compliance with Accreditation Canada’s Governance Standards, and such administrative controls are appropriate. Ontario hospital boards, in general, have fulfilled their key functions of governance in terms of working as an effective board; developing a clear direction; supporting the organization to achieve its mandate; maintaining positive relationships with external stakeholders; and being accountable and achieving sustainable results. Building knowledge through information is an area where improvement is needed.

Ontario hospitals have implemented appropriate administrative controls in terms of board composition and committee structure. The results of a survey of 99 board directors from over 25 hospitals suggest that directors, in general, have a good understanding of their governance role and relationship with senior management as well as the government. The findings are also supportive of good governance practice where executives manage and nonexecutive directors monitor the performance of the executives. According to the respondents, Ontario’s hospital boards are actively involved in setting the mission, strategic goals and objectives of their organizations, and they take appropriate steps to ensure that risk management, client safety, and quality improvements are incorporated in their governance and strategic planning process. In order to discharge their fiduciary duty effectively, respondents would like to have more information from different sources. This is an area where management accounting professionals can become involved such that relevant information from a variety of sources, especially external sources, are provided to board directors for decision making.

Ontario’s hospital sector has undertaken initiatives through research and publications to promote good governance practice. Such leadership is critical to ensure that directors have the competence and skills to discharge their duties and responsibilities diligently. Hospital boards should focus on renewal while ensuring that board directors are equipped for the challenging task of governing through professional development and continuing education.

Limitations related to the use of questionnaire applies to this research study. Self-selection bias and low response rate limit the generalizability of the findings. Future research can examine the behavior of directors in the boardroom and the impact of governance variables on hospital performance, such as quality of care and patient safety.

The purpose of this paper is to determine best practices of aid agencies for outsourcing logistics to commercial logistics service providers (LSPs) in disaster relief. Moreover, it evaluates the application of the Delphi method for research in humanitarian logistics.

The paper is based on a two-round Delphi study with 31 experts from aid agencies and a complementary full-day focus group with 12 experts from aid agencies and LSPs.

The study revealed 12 best practices for outsourcing logistics in disaster relief and a compilation of more than 100 activities for putting these practices into action. Experts consider a proper balance between efficiency and compliance, a detailed contract and a detailed service request most important. Additionally, the Delphi method was found to be a promising technique for research on humanitarian logistics.

By critically examining the Delphi method, this study establishes the basis for a wider application of the technique in the field of humanitarian logistics. Furthermore, it can help to prioritize future research as the ranking of practices reflects the priorities of practitioners.

The paper provides guidance to practitioners at aid agencies in charge of outsourcing logistics.

This research is one of the first in the field of humanitarian logistics to apply the Delphi method. Moreover, it addresses the lack of literature dealing with approaches for building successful cross-sectoral partnerships.

Africa's population is the second largest and fastest growing in the world after Asia, and this puts African governments under great stress in terms of increased public expenditure and is faced with a low revenue generation. Hence, the need for this study. The purpose of this paper is to examine the socio-economic determinants of public expenditure in Africa by assessing the influence of population age structure using a sample of the top ten most populous countries in Africa covering period of 1989 to 2018.

The study employed panel fully modified ordinary least square (OLS) in estimating the relevant relationship between the variables in the model. The dynamic ordinary least square (DOLS) model was also used to check the robustness of the fully modified ordinary least square (FMOLS) results.

The findings revealed that the major population age structure that influences the growth of public expenditure in Africa are population ages (0–14) and population ages (15–64), but the former poses a stronger significant influence than the latter while population ages (65 and above) has a negative and insignificant influence. Also, in terms of other socio-economic factors, self-employment has a reducing and significant influence on public expenditure. GDP per capita has a negative and insignificant influence while foreign aid and unemployment rate has an increasing influence. Finally, inflation rate and control of corruption (CC) has a negative relationship with public expenditure.

The study argues that an increase in the young and working population will put enormous pressure on the government in the provision of more jobs and other public infrastructures such as health care and education. In the context of African economy with a low revenue generation, public expenditure will be low and the desperately poor masses will be denied of these public infrastructures.

Several studies (Jibir and Aluthge, 2019; Tayeh and Mustafa, 2011; Okafor and Eiya, 2011; Obeng and Sakyi, 2017; Ofori-Abebrese, 2012) have investigated the determinants of public expenditure using total population as a variable. However, this study is unique as it focused on the influence of population age structure on public expenditure in Africa. Also, the study incorporated other socio-economic determinants of public expenditure such as self-employment, standard of living, inflation rate, unemployment rate, foreign aid and corruption in its analytical model. To the best of our knowledge, some of these variables have not been employed in previous studies.

This paper studies one of the most paradoxical facts of the Spanish economic growth during the period 1982–2007: high growth of investment and aggregate demand accompanied by the stagnation of labor productivity, especially from 1994.

The authors propose two hypotheses: first, that the productive structure neutralized the mechanisms that link investment with productivity, essentially due to the low capital efficiency of the job-creating sectors (JCs); and consequently, investment drove production almost exclusively through employment, generating a trade-off between employment and productivity.

The econometric results find evidence in favor of both hypotheses applying a time-series methodology (ARIMA) to EU KLEMS data for a period of 25 years and 25 industries of the Spanish economy.

The first contribution of this paper is to offer an interpretation of the phenomenon from a perspective that combines elements of productive supply and aggregate demand, representing a novel contribution to the specialized literature. In addition, the authors show how the Kaldor-Verdoorn law could be neutralized due to employment creation (Okun's law) and the presence of a productivity-employment trade-off.

The authors introduce non-Ricardian (“hand-to-mouth”) myopic agents into an otherwise standard real-business-cycle (RBC) setup augmented with a detailed government sector. The authors investigate the quantitative importance of the presence of nonoptimizing households for cyclical fluctuations in Bulgaria.

The authors calibrate the RBC model to Bulgarian data for the period following the introduction of the currency board arrangement (1999–2018).

The authors find that the inclusion of such non-Ricardian households improves model performance along several dimensions and generally provides a better match vis-a-vis data, as compared to the standard model populated with Ricardian agents only.

This is a novel finding in the macroeconomic studies on Bulgaria using modern quantitative methods.

This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level.

This paper uses a long time-series of MSA-level quarterly data from 1990 to 2018. It uses an instrumental variable approach to estimate the effects of residential real estate prices on unemployment rates using the geography-based land constraints measure of Saiz (2010) as the instrument.

The results show that changes in residential real estate prices do not have a causal effect on unemployment rates in the same quarter. However, it takes 9-12 months for an increase (decrease) in real estate prices to decrease (increase) unemployment rates. This effect is significant during both pre- and post-financial crisis periods and robust to control for the economic characteristics of MSAs.

This paper contributes to the emerging literature that studies the real effects of real estate. Particularly, the methodology and the findings can be used to investigate causal relationships between housing prices and small business development or economic growth. The findings are also of interest to policymakers and practitioners as they illustrate how and when real estate price shocks propagate to the real economy through unemployment rates.

This study’s findings have important implications for academics, policymakers and investors as they provide evidence of a snowball effect associated with shocks to real estate prices: increasing (decreasing) unemployment rates following a decrease (increase) in real estate prices exacerbates the real estate price movements and their economic consequences.

This paper analyzes a significantly longer period, from 1990 to 2018, than the existing literature. Additionally, it uses the MSA-level land unavailability measure of Saiz (2010) as an instrument to explore the effects of residential real estate prices on unemployment rates and when those effects are observed in the real economy.

This paper aims to examine the effect employee performance has on subsequent corporate cash holdings.

The authors utilize panel data estimation, including an instrumental variable approach, to identify the relation between employee performance and subsequent corporate cash holdings. These panel data consist of 11,087 firm-year observations over the period 1992 to 2015.

The authors document a positive and statistically significant relation between firm employee performance and subsequent cash balances. A one standard deviation increase in employee performance is associated with an increase in cash holdings ranging from 1 to 2 percent. The findings support the view that firms seek to accommodate the preferences of better performing employees, thereby requiring greater levels of cash. This positive relation is most evident among firms with low bond ratings and firms with low managerial ability – characteristics that are indicative of a firm's ability to access capital markets.

Better corporate governance of the firm is commonly associated with lower levels of cash. The findings of this paper, however, suggest that holding greater levels of cash may be a consequence of corporate efforts to accommodate the needs of their employees. The predictive content of employee performance is orthogonal to existing determinants of corporate cash holdings shown in the literature. Furthermore, this paper shows the potential for firm cash balances to be an alternative and transparent measure that signals better employee performance and more socially responsible firm behavior.

This chapter introduces a model of efficiency-wage competition along the lines put forward by Hahn (1987). Specifically, I analyze a two-firm economy in which employers screen their workforce by means of increasing wage offers competing one another for high-quality employees. The main results are the following. First, using a specification of effort such that the problem of firms is well-behaved, optimal wage offers are strategic complements. Second, the symmetric Nash equilibrium can be locally stable under the assumption that firms adjust their wage offers in the direction of increasing profits by conjecturing that any wage offer above (below) equilibrium will lead competitors to underbid (overbid) such an offer. Finally, the exploration of possible labor market equilibria reveals that effort is counter-cyclical.