Fertility and the puzzle of female employment in the Middle East and North Africa

Female labour force participation rates across the Middle East and North Africa (MENA) region have remained low for over four decades even though, in the same period, women's education rapidly increased and fertility rates substantially decreased. This study provides a better understanding of this surprising phenomenon by testing whether the number of children affects the mother's labour supply (using twins at first birth as an instrumental variable.) Despite a strong first stage, it does not find statistically significant effects in the second stage, even in the combined sample of over 100,000 observations. This non‐result, however, does not rule out that fertility affects women's employment in these countries. But it rejects impacts larger than 0.09. Similar twin‐studies in the United States found effects between 0.12 and 0.31. The paper discusses the implications of this result in understanding the puzzle of female participation in MENA and in designing policies to increase women's employment.     

Consumer responses to different degrees of advertising adaptation: the moderating role of national openness to foreign markets

We investigate the moderating role of national openness to foreign markets on consumer responses (attitude to ad, brand and purchase intention) to different degrees of advertising adaptation in Belgium, Iran and India. We operationalize three levels of advertising adaptation (standardization, glocalization and adaptation) by manipulating the model (international versus local celebrity) and advertising copy (international versus local advertising copy). The results show that societies with a low openness to foreign markets respond more positively to fully adapted ads than to glocalized and standardized ads. The differences in responses decrease with national openness.     

Home-related injuries among under-five-year children and mothers' care regarding injury prevention in rural areas

This cross-sectional study was conducted in rural areas of Twiserkan (Toyserkan) County, in Iran, to assess factors associated with home-related injuries among under-five-year children and their mothers’ care regarding injury prevention. Mothers who had their under-five-year-old children injured within a 12-month period were identified from recorded information in Twiserkan Health Center. Then, data were gathered using pre-tested questionnaire and through interview with injured children's mothers. The questions were about characteristics of the children's injuries and their mothers’ care regarding injury prevention, using PRECEDE (Predisposing, Reinforcing, and Enabling Constructs in Educational/Environmental Diagnosis and Evaluation) model with focus on knowledge and attitude; enabling and reinforcing factors; and mothers' preventive behaviours. The study results showed that 197 out of 210 total identified mothers took part in the study. The reported injuries were 11.68%, 39.09%, and 49.24%, respectively, for severe, moderate, and mild cases. Fall was the most frequent injury with 35%. Among PRECEDE model constructs, there was a statistically significant correlation between mothers' knowledge and injury severity among children. Home-related injuries are an important health problem among study population and their prediction and prevention are necessary. Enhancement of mothers’ knowledge can be helpful to improve child injury prevention.     

Sole sourcing in EOQ models with Binomial yield

We develop two EOQ-based inventory models in which an inventory manager must determine the order size as well as the supply reliability level in the presence of uncertainty in the quality and/or quantity of supply. The number of acceptable units in the order is captured by the Binomial yield model, and reliability is increased both by increasing the order setup cost and by increasing the unit price. For each developed model, we present an equation of which a solution is the optimal reliability level and a closed form solution for the optimal order size given the optimal reliability level. We then provide a comparison of the two models.     

Timing is everything: A meta-analysis of the relationships between organizational performance and innovation

The relationship between innovation and firm performance has been uncertain. In previous empirical tests of both causal directions of the organizational performance and innovation relationship, the temporal sequence of research designs has often been flawed. We meta-analytically test both temporal sequences of this relationship using 158 effect sizes from 55 empirical studies. We find that many empirical studies hypothesized one temporal sequence (e.g. innovation and future performance), but used data based on the opposite temporal sequence (e.g. past performance and innovation). Correcting the studies based on the actual temporal sequence used reveals that while the relationship between innovation and future performance is positive (based on economic rent-seeking), the relationship between past performance and innovation is less clear, especially when the study's framing is taken into account. Focusing on temporal sequencing suggests new research avenues on the organizational performance and innovation relationship.     

Addressing the growth failure of the oil economies: The role of financial development

The oil exporting countries have experienced a relatively continuous fall in GDP per capita over the last 30 years. This is in spite of benefiting from a more than average of the rest of the world investment rate. The findings of this paper, report a lower level of financial development for the oil economies when compared with the rest of the world. We will show in this paper that the higher rate of investment of the oil economies can be explained mainly by the oil revenues and surprisingly, financial development has a net dampening effect on investment for these economies. The paper also shows that the weakness of financial institutions, contributes to the poor performance of economic growth of the oil economies and the weakness of financial institutions might be associated with the dominant role of government in total investment and the weakness of private sector.     

Best practice network business model for internationalization of small and medium enterprises

Small and medium enterprises’ entry to international markets leads to their continuous growth and facilitates national and global economic development. In an attempt to substantiate these outcomes, they seek to acquire best practices and experiences in order to facilitate entering, surviving, and growing in global markets. To address this challenge practically, the present paper introduces a media for networking and a system for transferring internationalization best practices across small and medium enterprises under the concept of Best Practice Network. Subsequently, the paper tries to depict Best Practice Network as a viable business and establish a guideline for implementing it by developing its business model. To achieve this objective, the authors have administered multi-case study research among the top managers of international small and medium enterprises in the information and communication technology sector of Iran. The resulting model is based on business model ontology and proposes a bird’s eye view of the Best Practice Network including product, customer interface, infrastructure management, and financial aspects. Moreover, by proposing a media for sharing related best practices, this paper can lead to the decline of the stage theory of internationalization and can excel the born global theory of small and medium enterprises.     

Statistical model for earthquake economic loss estimation using GDP and DPI: a case study from Iran

As earthquakes can result in multi-dimensional negative consequences such as human loss and building damage, the ability to make accurate economic loss estimations immediately after the occurrence is crucial. Unfortunately, in many earthquake-stricken countries such as Iran, governments are often unable to quickly or accurately assess post-earthquake losses. The aim of this paper, therefore, is to extend the model developed by Chan et al. (Nat Hazards 17:269–283, 1998) to two independent variables to develop an earthquake economic loss estimation method based on the economic and socio-economic indices gross domestic product (GDP) and disposable personal income (DPI) and a seismic hazard probability function. A global cell map is also considered to assess the GDP and DPI based on the population in each cell affected by the earthquake. In the final stage, using the Modified Mercalli Intensity Scale, 18 earthquake damaged areas in Iran are taken as case study to estimate the economic losses using the new model presented in this paper.