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This study is an empirical investigation of the relationship between the use of 41 multiple performance measures (MPMs), including financial performance measures (FPM), non-financial performance measures (NFPMs) and organisational performance (OP) in Libya.

The results are based on cross-sectional questionnaire survey data from 132 Libyan companies (response rate 61%), which were obtained just before the so-called Arab Spring.

MPMs are used by both manufacturing and non-manufacturing companies. Libyan business organisations are more likely to use FPMs than NFPMs. However, these companies still rely more heavily on FPMs. The relationships between the use of NFPMs and OP and the use of MPMs and OP are positive and highly significant. The relationship between the use of FPMs and OP is positive but not significant.

The high power distance associated with the conservative, Libyan, Arab context will reinforce the tendency to use FPMs more than NFPMs. This may provide a performance advantage to those organisations which do adopt NFPMs.

Although there may be institutional barriers to the use of NFPMs in Libya, and other emerging markets, these are not insuperable and there is a payoff to their use.

No previous studies of emerging markets, such as the Middle East or North Africa, have looked at the relationship between OP and the adoption of such a large array of MPMs.

Routing protocols in wireless sensor networks (WSN) are a crucial challenge for which the goal is maximizing the system lifetime. Since the sensor nodes are with limited capabilities, these routing protocols should be simple, scalable, energy‐efficient, and robust to deal with a very large number of nodes, and also self‐configurable to node failures and changes of the network topology dynamically. The purpose of this paper is to present a new algorithm for cluster forming in WSN based on the node energy required to transmit to the base station.

Rotation selection of cluster‐head considering the remoteness of the nodes to the sink, and the network node residual energy.

The simulation results show that this algorithm allows network stability extension compared to the most known clustering algorithm.

Giving a probability to become cluster‐head based on the remoteness of the node to the sink.

Web services composition engineering (WSCE) is a big challenge because of the increasing complexity, openness and extensibility of services based on the information system (IS). In the absence of an adequate framework for IS engineering, the authors assume that the overall problem is consequently no longer easy to resolve. This paper aims to explore some of the issues underlying WSCE through a framework, which is built based on the state of the art. The proposed framework is structured around five views that mainly highlight aspects of personalization and security concerns. The main objectives of this framework are: to help understand and clarify the basics of the WSCE domain; to evaluate web services composition (WSC) methods; to analyze and compare existing personalization, secure methods and identify new research axes; and to identify the main criteria of the ongoing approach for the design of a secure IS based on personalized WSC.

This work develops a framework that is used as an analytical study to compare the existing WSCE methods and come up with research issues. Then, the proposed framework is considered as an abstract model for the new WSCE approach.

A set of criteria that the proposed framework should consider when developing a new approach to a secure IS based on personalized WSs composition.

The paper has theoretical implications as the personalization and security issues provide a research roadmap toward the realization of an approach for the design of a secure IS based on personalized WSs composition.

As proof, the authors are interested in a web services repository of a real mall. To do this, the authors deployed the application in a cloud environment and observed the results of personalization and security concepts in WSCE.

None of the existing comparison frameworks has raised both personalization and security issues in WSs composition, while personalization and security must be present in the whole composition process.

While science has researched the impact of air pollution on human health, the economic dimension of it has been less researched so far. Renewable energy consumption is an important factor in determining the level of life expectancy and reducing health expenditure. Thus, this study aims to investigate the impact of renewable energy, carbon emissions, health expenditure and urbanization on life expectancy in G-7 countries over the period of 2000–2019.

This study has adopted a novel Method of Moments Quantile Regression (MMQR). Furthermore, as a robustness check for MMQR, the fully modified ordinary least square, dynamic ordinary least squares and fixed effect ordinary least square estimators have been used.

The results indicated that renewable energy consumption, health expenditure and urbanization lead to an increase in life expectancy across all quantiles (5th to 95th), whereas higher carbon dioxide emissions reduce life expectancy at birth across all the quantiles (5th to 95th).

The empirical findings conclude that governments should recognize their potential in renewable energy sources and devise policies such as tax-related regulations, or relevant incentives to encourage further investments in this field.

This paper in comparison to the other research studies used MMQR to investigate the impact of factors affecting life expectancy. Also, to the best of the authors’ knowledge, so far no study has investigated the impact of renewable energy on life expectancy in G-7 countries.

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) by focusing on institutional and economic factors among South Asian Association for Regional Cooperation (SAARC), Association of South East Asian Nations (ASEAN) as well as Central Asian countries over the period 2002-2014.

The generalized method of moments technique is employed for analyzing the impact of institutional quality on FDI inflow by controlling for the effect of market size, domestic investment and labor force.

The authors found large variations in terms of the impact of institutional and economic variables in regards to FDI in the SAARC, Central Asian and ASEAN regions. The results reveal that real GDP, domestic investment and economic freedom index have a positive and significant effect on FDI inflows in the SAARC region, while governance index and labor force have a negative impact on FDI inflows. In Central Asia, the real GDP, domestic investment and governance index are positively associated with FDI inflows, whereas the effect of economic freedom index on FDI is negative as well as insignificant. Apart from the GDP, other variables such as labor force, domestic investment, governance and economic freedom indices influence FDI positively in the ASEAN region. It is worth mentioning here that domestic investment produces positive effect on FDI inflows in all the regions. On the whole, the authors may conclude that institutional factors play an important role in attracting FDI inflows in the ASEAN region as compared to Central Asian and SAARC regions.

A limited research work is available that could help in identifying the role of institutional and economic factors simultaneously in attracting FDI in the SAARC, Central Asian and ASEAN regions.