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The purpose of this paper is to explain prevalent earnings differentials in Gulf Cooperation Council’s (GCC’s) private sectors between skilled local and migrant labor and provide estimates of potential price distortions to underlie future market-based corrective policies that increase participation of locals in private employment.

The paper uses an individual-level data set on workers’ earnings and productivity-related characteristics to decompose estimated earnings differentials at the mean level and at various percentiles of the earnings distribution via well-established decomposition approaches.

Results show that the real earnings differential between locals and Asians decreases at higher earnings, while that between locals and non-GCC Arabs are relatively stable. Both are characterized by overpayment of locals, that is, self-inflicted by current nationalization policies. Higher earnings of Westerners are due to their superior productivity-related characteristics.

Due to the lack of official individual-level data on workers’ productivity-related characteristics, this paper is compelled to utilize an open-source primary data set. Despite the data set’s ability to reproduce officially published aggregates and produce sound econometric results, findings are not entirely proof against sampling bias.

The paper demonstrates that the failure of GCC’s nationalization policies is self-inflicted by the current quota system and by the lack of legislative frameworks that ensure equal pay for equal work. Effective nationalization ought to be market based, rather than by fiat.

The paper is the first to analyze GCC’s private earnings differentials at the individual level and provides micro-econometric evidence on existing price distortions.

This paper aims to examine small- and medium-sized enterprises’ (SMEs) strategic capabilities in terms of their marketing and management capabilities, their sources of environmental uncertainty and their organizational capabilities. Additionally, to what extent the effect differs across two sectors (manufacturing and service).

Partial least squares structural equation modeling was used to conduct multigroup analysis for the two sectors. Data was collected from a sample of 315 Omani SMEs, 166 from manufacturing and 149 from services.

The results show that strategic capabilities have a significant positive effect on customer satisfaction. However, the effect differs between manufacturing and service SMEs; the effect is greater in service than in manufacturing SMEs. Furthermore, the effect of organizational capabilities on customer satisfaction was found to be positive. However, the effect is higher in manufacturing as the difference is statistically significant.

Due to the growing importance of the service and manufacturing SMEs in developing countries and their considerable involvement in economic development, it is important to understand the characteristics of the strategic capabilities in both sectors. Thus, according to the authors’ knowledge, this paper is one of the first to propose a comprehensive framework that measures collectively the direct impact of strategic capabilities, organizational capabilities and environmental uncertainties on SMEs customer satisfaction and effectiveness.

The purpose of this paper is to contribute to international tourism market segmentation research by proposing a comprehensive framework that examines behavioral, benefits and lifestyle segmentations. The moderating roles of geographic segmentation (nationality) and advertising media types are also discussed.

Tourists volunteered to participate in a self-administered survey at random during peak seasons. Total number of collected questionnaires was 966. The authors used WarpPLS 6.0 software to analyze data.

Results from a sample of 919 tourists show that tourists in the benefit segmentation cluster had intentions to revisit the destination but they were unlikely to recommend it to others. Another finding indicates that marketing campaigns on different advertising media types might have different results when targeting different activities.

Leaning on the foundations of the marketing literature and the market segmentation theory, this research attempts to create a theoretical contribution that can be used to segment international tourists based on their travel motivations. Additionally, this study highlights the power of conditional probability approach, as it could be of more value than the predominant path coefficient approach.