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Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions. The purpose of this paper is to investigate the suitability of using genetic programming as a hyper-heuristic methodology to generate constructive heuristics to solve the multidimensional 0-1 knapsack problem

Early hyper-heuristics focused on selecting and applying a low-level heuristic at each stage of a search. Recent trends in hyper-heuristic research have led to a number of approaches being developed to automatically generate new heuristics from a set of heuristic components. A population of heuristics to rank knapsack items are trained on a subset of test problems and then applied to unseen instances.

The results over a set of standard benchmarks show that genetic programming can be used to generate constructive heuristics which yield human-competitive results.

In this work the authors show that genetic programming is suitable as a method to generate reusable constructive heuristics for the multidimensional 0-1 knapsack problem. This is classified as a hyper-heuristic approach as it operates on a search space of heuristics rather than a search space of solutions. To our knowledge, this is the first time in the literature a GP hyper-heuristic has been used to solve the multidimensional 0-1 knapsack problem. The results suggest that using GP to evolve ranking mechanisms merits further future research effort.

The concept of co-movement has witnessed a resurgence in the international finance literature in recent years after the black swan events. This might be due to a renewed focus on globalization and financial market integration in the world over. The purpose of this paper is to examine the dynamic linkages in the foreign exchange market resulting from recent globalization and financial market integration in Africa.

A conceptual framework was adapted from the extant literature and was used as the basis of modeling foreign exchange market in Africa. This paper adopts a quantitative research approach and opted for dynamic panel data analysis to empirically unearth the determinants of foreign exchange market co-movement.

It is interesting to note that exchange rate co-movements were externally determined. Robust support was found for trade intensity, competition and world interest rate on foreign exchange rates co-movement, but regional interest rate differential decreased it. These findings clearly demonstrate the level of financial development and challenges that sometimes exist in exchange rate policy implementation by policy makers in Africa.

Future research might incorporate bilateral investment into the model of exchange rate correlation.

Studies focussing on simultaneous consideration of intensity, trade competition and capital account openness to exchange rate correlations in the contexts of Africa are almost non-existent, and this study makes an important contribution in not only addressing this imbalance but also more importantly improving the relatively parsimonious literature on foreign exchange co-movement.

This study aims to develop a practical methodology to identify possible areas of improvements as well as exploring how to improve the health-care staff flow within a selected department in a hospital.

It focuses on showing how to properly study and analyze the health-care services and processes practiced at a selected department within a hospital. For this, several techniques like non-value-adding activities, time motion study, spaghetti diagram, layout analysis, etc. are used.

To test the proposed methodology, a neonatal intensive care unit (NICU) of a hospital in Oman was considered as a case study. The study revealed that this unit has several potential improvements capabilities. Further, this study also discussed possible areas of improvements of this case unit and suggested how such improvements can be implemented.

Several possible improvements are suggested and are discussed with the hospital authority, which can be clarified as the re-layout of the NICU rooms, reorganization of the store to improve the staff flow, increase the work efficiency, introduction of Help Us Support Healing policy, etc., which can enhance the entire operational system at the studied NICU.

The purpose of this paper is to examine the sustainability of fiscal policy in Nigeria by disaggregating the economy into oil and non-oil segments.

Owing to the enormous influence of the oil revenue, the study distinguishes between the oil and non-oil fiscal balances. In addition, it abstracted from the endogenous macroeconomic environment, therefore, fiscal policy sustainability is investigated on the basis of the responses of the government primary balance to changes in deficits and debt levels. The models are estimated with time-series data from 1970 to 2011 using the Johansen estimation techniques.

The results from the estimations performed suggest that government responds more to deficit targets than debt targets. However, this differs in the non-oil segment, as the fiscal policy actions of government do not consistently respond to either deficit or debt targets. Given this, the overall economy and the oil segment have revealed a strong fiscal sustainability over the years while fiscal policy is unsustainable in the non-oil segment.

The major limitation of this study is the unavailability of data on government expenditure resulting from oil revenue. Therefore, it would be imperative to reinvestigate the specifications adopted in this study in follow-up studies.

The study includes implications for policy makers, especially in Nigeria and other oil-producing countries, to detect the extent to which the economy should rely on the oil revenue stream as the main source of revenue to government. The proceeds from the oil endowment have not yet trickled down to the rest of the economy where real economic activity could be carried out which would eventually lead to more tax revenue for the government.

To assess the sustainability of fiscal policy in an oil-rich economy such as Nigeria, it is imperative to detect the influence of oil funds on both government revenue streams and expenditure decisions. This study has made this distinction.

In this study, an investigation into the asymmetric impacts of crime rate on total factor productivity (TFP) in Nigeria is conducted.

The study employs linear and non-linear autoregressive distributed lag (ARDL) modelling techniques to analyse Nigerian data spanning over a period of 1986–2017. In addition, Granger causality tests are conducted under error correction technique.

The study establishes that crime rate has a significant impact on TFP in the short and long run. In addition, the positive component of crime rate has positive impacts on TFP in the short run while the negative shocks have negative impacts on TFP. However, in the long run, both positive and negative components have negative impacts on TFP in Nigeria.

This study is the first to analyse the asymmetric impact of crime rate on TFP. The study also advances the literature by examining the symmetric impact of crime rate on TFP in an African country (Nigeria) where crime-related activities are rampant. The study is one of the few studies that shed light on nonlinearities in criminal behaviour.

To strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.

First, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.

An empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.

The innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

The purpose of this paper is to describe how an Academic Health Science Centre, providing pediatric rehabilitation services, research, and education, developed a Centres for Leadership (CfL) initiative to integrate its academic functions and embrace the goal of being a learning organization.

Historical documents, tracked output information, and staff members’ insights were used to describe the ten-year evolution of the initiative, its benefits, and transformational learnings for the organization.

The evolutions concerned development of a series of CfLs, and changes over time in leadership and management structure, as well as in operations and targeted activities. Benefits included enhanced clinician engagement in research, practice-based research, and impacts on clinical practice. Transformational learnings concerned the importance of supporting stakeholder engagement, fostering a spirit of inquiry, and fostering leaderful practice. These learnings contributed to three related emergent outcomes reflecting “way stations” on the journey to enhanced evidence-informed decision making and clinical excellence: enhancements in authentic partnerships, greater innovation capacity, and greater understanding and actualization of leadership values.

Practical information is provided for other organizations interested in understanding how this initiative evolved, its tangible value, and its wider benefits for organizational collaboration, innovation, and leadership values. Challenges encountered and main messages for other organizations are also considered.

A strategy map is used to present the structures, processes, and outcomes arising from the initiative, with the goal of informing the operations of other organizations desiring to be learning organizations.

This study aims to investigate the effect of the tourism sector on employment in 13 Mediterranean countries. In addition, the impact of economic growth and inflation rate, which are included in the analysis as control variables, on the employment rate are investigated.

For this study, data from 1995 to 2018 and the ratio of the employed population, the number of international tourist arrivals, the annual growth rate of real gross domestic product (GDP) and the annual percentage change in the Consumer Price Index (CPI) were used. First, the authors investigated the relationship between variables using the Autoregressive Distributed Lag (ARDL) Bounds Test with Sharp and Smooth Breaks. Then, after determining the significant cointegration relationship, the long-term and short-term coefficients were also estimated.

The results show a cointegration relationship for Cyprus, Greece, Israel, Malta and Tunisia. Tourism demand has a positive effect on all these countries and economic growth positively affects the employment rate only in Greece, Israel and Tunisia. Besides, the inflation rate has a negative effect in Israel and Tunisia and a positive effect in Malta. Overall, the authors' results provide important policy suggestions, such as the training of the employees in the tourism sector should be improved to keep up with the requirements of the times.

The impact of the tourism sector on total employment varies from country to country. In particular, the employment creation policies of the sector need to be changed by taking technological changes into consideration.

Since tourism is a labor-intensive sector, tourism's impact on employment is an important research topic. However, whether this effect applies to all countries is debatable. Furthermore, the development of technology can also reduce employment in labor-intensive sectors. Therefore, this research can be regarded as important as this research addresses such a critical current issue and suggests a novel econometric method such as the ARDL Bounds Test with Sharp and Smooth Breaks.

This study aims to explore how CEO narcissism drives investment in corporate social responsibility (CSR) and its mediating mechanism.

This study includes panel regression based on archival data.

CEO narcissism leads to signaling of organizational virtuous orientation that results in increase in CSR investment.

Relevance of CEO traits on CSR remains unexplored in emerging markets context, especially the underlying mechanism. This study uncovers these mechanisms.