This paper explores how Saudi managers perceive the role of corporate heritage in achieving the employment goals of heritage organizations operating in Saudi and, in turn, Saudi Arabia’s Vision 2030 in relation to the Nitaqat program. Using an exploratory qualitative method, the study involved fifteen in-depth semi-structured interviews with HR managers from ten heritage-rich organizations. The analysis identified five key organizational identity traits with heritage—proficient, shelter, responsive, advancing, and centrality—that can be leveraged in employer branding to attract potential employees and enhance the employer brand of organizations operating in the Saudi market. This study is significant as it is the first to investigate corporate heritage from an employer branding perspective and in relation to national employment goals in emerging markets.
Most airport development projects entail disputes due to the features that are distinctive and complicated. Disputes can be minimized through creative problem-solving by implementing knowledge management practices into the system. This study investigates the direct influence of knowledge management (KM) on dispute minimization (DM) along with the key factors for developing a strategy that can enhance KM success. A mixed method was adopted including statistical data analysis based on the PLS-SEM and descriptive analysis with the SECI (Socialization, Externalization, Combination, Internalization) model approach for strategy development. These findings show that KM has a positive and significant direct influence on DM, while the factors that are considered to have a significant influence on KM success are human resources management (HR) and learning & training (LT) on airport development projects in state-owned airport companies. This research supports the importance of a well-developed HR system accompanied by regular LT to all members of the organization to optimize and encourage the spread of knowledge in the organization.
The R3A Route represents a collaborative initiative involving the governments of Thailand, Laos, and China aimed at bolstering connectivity along the North-South Economic Corridor, as a vital component of the Greater Mekong Subregion Economic Cooperation Program (GMS). Since its inception in 2008, this endeavor has substantially enhanced the logistical framework between Thailand, Laos, and China. However, it has also revealed an imbalance in the benefit distribution of value chains within the tourism industry. One of the fact that, local stakeholders in each country often leverage their home country’s advantages, leading to the exploitation of counterparts with lower capacity in other nations. This unfair utilization goes against the initial intentions of fostering collaboration among these countries. Given China and its development as a starting point for tourism and its popularity among tourists traveling this route, this study provides a comprehensive analysis of China’s policy and insights of its influences on R3A tourism development in Laos and Thailand. The study constructs a content analysis with an umbrella of stakeholder analysis based on reliable data and is cross-verified through data triangulation. The findings lead to recommendations aimed at making Thai-Lao-Chinese tourism cooperation more sustainable and effective.
Poverty, and especially the widening disparity between the rich and the poor, leads to social unrest that can interrupt the harmonious development of human society. Understanding the reasons for income inequality, and supporting the development of an effective strategy to reduce this inequality, have been major goals in socioeconomic research around the world. To identify the determinants of the income gap, we calculated the Gini coefficients for Chinese provinces and performed regression analysis and contribution analysis for heterogeneity, using data from 30 Chinese provinces from 2002 to 2018. We found that urbanization, higher education, and foreign direct investment in eastern China and energy in central and western China were important factors that increased the Gini coefficient (i.e., decreased equality). Therefore, paying more attention to the fair distribution of the factors that can increase the Gini coefficient and investing more in the factors that can reduce the Gini coefficient will be the keys to narrowing the income gap. Our approach revealed factors that should be targeted for solutions both in China and in other developing countries that are facing similar difficulties, although the details will vary among countries and contexts.
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