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This paper aims to examine and compare the dividend ratios’ statistical and economic ability to predict the equity premium in the UK and US markets and two US sub-indices (S&P 500 Growth and S&P 500 Value).

In this paper, the authors use the linear regression models to examine the dividend ratios’ statistical ability to predict the equity premium. The in-sample and out-of-sample approaches, including Diebold and Mariano (1995) statistics, and Goyal and Welch’s (2003) graphical approach, are used. Also, the mean-variance analysis is used to test the economic significance.

The paper findings indicate that the dividend ratios have in-sample and out-of-sample predictive abilities in both UK and US markets and both US sub-indices. However, the results show that the dividend ratios have a less impressive predictive ability in the US market compared to the UK market and less in the US value index than the US growth index. This could indicate that there is no relation between the number of companies that distribute dividends in each index and the informativeness of dividends ratios. Furthermore, the tests show the dividend ratios’ predictive ability departure during particular periods and in some indices.

Results and implications of this research are exclusively applied to the US and UK markets. These results can also be applied with caution to other markets, taking into consideration the distinctive characteristics of these markets.

Results revealed in this paper imply that the investors in any of the indices may experience economic gain by adopting a dynamic trading strategy using the information content of the dividend ratios prediction models instead of the benchmark model, which is the prevailing simple moving average model.

This paper adds value through testing the prediction models’ economic significance in two well-developed markets, in addition to exploring the relationship between the number of companies distributing cash dividends and the dividends ratio prediction ability. Unlike most of the previous studies in which dividend ratios’ prediction ability is attributed to the number of companies that distribute dividends in the market, this paper denied this interpretation by studying two S&P 500 sub-indices. To the best of the authors’ knowledge, this is the first study to test the prediction models’ ability for these sub-indices.

The corporate atmosphere in recent times speaks volumes about the crises of confidence and credibility brewing among professionals due to the rising incidences of unethical pro-organizational behavior (UPB). The study developed a model to demonstrate the underlying mechanisms through which unethical organizational culture (UOC) influences UPB through the mediating roles of idealism and relativism.

Using a cross-sectional approach, data were collected through questionnaires that were distributed to small and medium-sized enterprises (SMEs) operating in the Plateau state in Nigeria. A total of 269 responses were obtained and analyzed using the partial least squares structural equation modeling (PLS-SEM) technique via Smart-PLS software.

The results revealed that the relationship between UOC and UPB was significant. The indirect predictive role of UOC on UPB was established via relativism but not through idealism. The results indicate that the preponderance of UPB among SMEs is a product of UOC which breeds a relativist ideology that ultimately promotes UPB. Finally, implications and suggestions for further research are discussed.

This study contributes to UPB in two unique ways. First, the authors bring to the fore the critical role of UOC in the debate on UPB which has been under-explored. Second, the study also established the mediating role of relativism in the relationship between UOC and UPB.

The purpose of this study is to develop functional probiotic Labneh cheeses supplemented with broccoli florets.

Probiotic Labneh cheese was produced using broccoli florets paste at four different levels (0, 5, 10 and 15%), with Lactobacillus casei NRRL B-1922 as a probiotic strain, to evaluate its physicochemical, phenols, antioxidant activity, minerals, vitamins, textural, microbiological and sensory characteristics during storage for 15 days.

The results indicated that Labneh cheese with added broccoli paste exhibited significantly (p = 0.05) higher level of moisture, acidity, soluble nitrogen, phenols, antioxidant activity, minerals and B vitamins, and lower protein, fat, ash and pH values when compared to control Labneh cheese. Textural analysis of Labneh cheese indicated that Labneh with higher level of broccoli (15%) exhibited harder texture than others. Higher viable counts of Lactobacillus casei and Streptococcus thermophilus were detected in Labneh with broccoli paste, and the counts (107 cfu/g) were higher than the number should be present to achieve their health benefits. The most acceptable Labneh cheeses were those supplemented with 5 and 10% broccoli paste.

This study revealed broccoli florets could enhance the growth of Lactobacillus casei and Streptococcus thermophilus in the Labneh matrix, which resulted in a wider spectrum of health benefits of Labneh cheese to the consumers.

The purpose of this paper is to investigate the interrelationships among knowledge management (KM), information systems (IS) and employees’ empowerment (EE) on employees’ performance (EP).

Accordingly, a structural model is developed that delineates the interactions among these constructs and explores the mediating effect of EE on the relationship between KM, IS and EP. A questionnaire-based survey was designed to test the aforementioned model based on dataset of 287 employees’ pharmaceutical industries in Jordan. The model and posited hypotheses were tested using structural equation modeling analysis.

The results indicated that KM and IS positively and significantly affect EE, in which the latter impact EP as well. However, neither KM nor IS proved to be positively related to EP. Additionally, EE positively and significantly mediated the relationship between KM and EP, besides the relationship between IS and EP.

This is one of the few studies which investigate the interrelationships among KM, IS and EE on EP, and the first to test the model on companies in the pharmaceutical industries in Jordan.

Based on the intellectual capital (IC) theory and the resource-based view (RBV), the paper seeks to elucidate the direct and indirect relationships between IC and competitive advantage in small and medium enterprises (SMEs). Therewithal, besides examining the mediating role of innovation capabilities in the IC-competitiveness link, it scrutinizes the moderating effect of entrepreneurial orientation in causing IC to boost competitiveness in SMEs through flourishing innovation capabilities.

Data were collected from 206 participants working in SMEs operating in the Kingdom of Saudi Arabia with the help of a structured questionnaire distributed through LinkedIn. Partial least square (PLS)-based structural equation modeling (SEM) using SmartPLS 4.0 has been performed to calibrate the auxiliary and structural models.

Based on the empirical analysis, IC significantly and directly enhances the competitive advantages of SMEs. Additionally, innovative capability has been found to be a complementary partial mediating condition in enabling IC to foster competitiveness in SMEs. Furthermore, the moderated mediation analysis reveals that innovation capabilities strongly mediate the association between IC and competitiveness in SMEs, characterizing higher entrepreneurial orientation.

The study provides significant insights to academicians and practitioners seeking to comprehend or configure interactions among IC, innovation capabilities, and entrepreneurial orientation in maturing competitiveness among SMEs, especially in emerging economies. Furthermore, the study provides a valuable integrative perspective on SMEs’ competitiveness by involving three voguish constituents of contemporary scholarly discourse grounded into the leading underpinning theoretical perspectives, such as IC theory, RBV, and entrepreneurship theory.

The uniqueness of this model lies in its rich theory-laden conceptualization and explanation that could extend theoretical debate and managerial action to the next levels.

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

The rapid development of urban areas in Sleman District, Indonesia, has created new challenges for firefighting response services. One of the primary challenges is to identify the optimal locations for new fire stations, to improve service quality and maximize service coverage within the specified time.

This paper proposes a method for precisely calculating travel time that integrates delay time caused by traffic lights, intersections and congestion. The study highlights the importance of precise calculation of travel time in order to provide a more accurate understanding of the service area covered by the fire stations. The proposed method utilizes network analysis in ArcGIS, the analytical hierarchy process (AHP) and simple additive weighting (SAW) to accurately calculate travel time and to identify the best locations for new fire stations. The identification of new site was based on service safety, service quality, service costs and demographic factors and applied to the Sleman district in Indonesia.

The results showed that the total area covered by old and new fire stations decreased from 61% to 31.8% of the study area when the adjusted default speed scenario was implemented.

The results indicated that the default speed scenario could provide misleading information about the service area, while the adjusted default speed scenario improved service quality and maximized service coverage.

The proposed method provides decision-makers with an effective tool to make informed decisions on optimal locations for new fire stations and thus enhance emergency response and public safety.

This paper investigates the impact of trade liberalization measured by trade openness (OPN) and tariffs on women empowerment measured by the gender gap index and gender development index, for two groups of Arab countries divided based on their income levels using annual data for the period 1995–2020. The study also considers other factors that may influence the gender gap, such as GDP growth and the female unemployment rate. The purpose of this paper is to address these issues and explorers whether the effects of trade liberalization differ based on the countries' income levels.

This study employs the fully modified ordinary least squares (FM-OLS) regression model for heterogeneous cointegrated panels to examine the impact of trade liberalization on women empowerment. The study constructs an empirical two regression model of women empowerment measured by the gender gap model and gender development model for the two groups of higher-income countries and lower and middle-income countries.

The authors’ findings reveal that the impact of OPN on the gender gap varies between the two groups of Arab countries where more OPN within the higher-income group may increase the gender disparity, while it may reduce disparity within the lower and middle-income countries. In addition, GDP growth may reduce the gender disparity, while female unemployment raises the gender disparity between the two groups of countries in the long run. Findings also reveal that more OPN, tariffs and female unemployment may reduce gender development within the two groups, but more GDP growth may support the gender development in the long run.

This paper not only assesses the impact of trade liberalization on women empowerment generally, but also assess the women empowerment via two indices that are the gender gap and gender development in Arab countries which is – to the knowledge of the researchers – not yet investigated; further it explores if the effects of trade liberalization differs based on the countries' income levels.

This paper aims to optimize the smart elderly housing planning with IoT (internet of things) technologies for an aging society in Dubai. To reflect the IoT technologies in the elderly housing, the characteristics of the IoT home network devices, applied to Ajman University (AU) testbed and smart services model with the IoT technologies are thoroughly analyzed.

To extract the optimal smart elderly housing model in Dubai, the Korean smart home model from smart cities in Korea was used to implement the testbed at AU. In total, 100 users survey had been performed to adjust the Korean model to local culture/context.

It was analyzed that convenience and functionality are factors that must be provided. The security system was pointed out as a common denominator for future enhancements. When IoT technologies are applied to elderly housing, it should focus on the safety and health management of the elderly.

Dubai had announced a strategy to transform into a Smart City in 2014 and the strategy had included 100 initiatives. The base unit of smart homes, however, was not covered and furthermore as society grows older, the priority for IoT technologies application in the smart home should be focused on smart elderly housing, as the elderly is equivalent to the handicapped due to deteriorated physical abilities.

The characteristics of the IoT home network devices applied to the AU testbed and smart services model with the IoT technologies are thoroughly analyzed.

While several existing panel studies have focused on the linear specifications of the nexus between trade openness and unemployment, nonlinear panel studies on this subject remain less explored. This paper examines the asymmetric nexus between trade openness and unemployment in 34 selected sub-Saharan Africa (SSA) countries for the period spanning from 1991 to 2020.

The Pedroni and Westerlund panel cointegration tests were conducted to ascertain a long run relationship among the studied variables, while the panel nonlinear autoregressive distributed lag approach was applied to account for asymmetries.

The study revealed among other things that trade openness asymmetrically influences unemployment in the selected panel of SSA countries. In the long run, the positive shock in trade openness on unemployment is greater as compared to the negative shock.

The implications of this study include the need to (1) ensure the effective monitoring and supervision of trade flows in the sub-region so that their full benefits are maximized in terms of job creation and (2) ensure that a positive trade balance is maintained in the selected SSA countries.

The positive and negative shocks in trade openness are examined to determine their asymmetric effects on unemployment.