مطالب

Purpose: The main goal of this research is to design a model of human resource capabilities, with an emphasis on digital knowledge management, for Iran Oil Terminals Company. Method: This research is descriptive-survey in terms of research design, cross-sectional in terms of time, and applied in terms of purpose. It is categorized as exploratory research. The statistical sample consisted of 20 professors and senior managers from the Ministry of Oil in the qualitative section and 100 managers and experts from Iran Oil Terminals Company in the quantitative section. Data collection in the qualitative part was conducted through interviews and data analysis techniques, while the quantitative section utilized questionnaires and structural equation modeling techniques. Findings: The findings were categorized into 114 codes and 26 concepts, which were further grouped into three categories: human-behavioral capabilities, specialized-technical capabilities, and analytical capabilities. The research confirmed that the role of human resource capabilities in the growth and development of organizations is undeniable. It emphasized that human resources management must leverage this intra-organizational capital to foster organizational advancement and excellence. A lack of qualified human resources can be a significant reason for an organization's stagnation. Conclusion: The analysis revealed that human resource capabilities, with an emphasis on digital knowledge management, encompass behavioral, specialized-technical, and analytical capabilities. Ultimately, a suitable model for human resource capabilities, emphasizing digital knowledge management, was proposed for Iran Oil Terminals Company. Human resource capability is valuable, rare, irreplaceable, and difficult to imitate; thus, it is essential for creating sustainable competitive advantages. Proper utilization of human resource capabilities can enhance organizational performance. This study took a process-oriented approach to propose an integrated model that comprehensively considers key variables such as human resource capability and knowledge management effectiveness.

Few studies have addressed the interaction among reader and text variables in reading comprehension. This research probed the role of aspects of lexical knowledge to the TOEFL reading comprehension of passages with low and high lexical cohesion. The extent of this contribution was checked for five types of TOEFL reading test items: Main Idea, Stated Detail, Inference, Reference, and Lexical Inferencing. For this purpose, 60 Iranian English as a Foreign Language (EFL) took the New Vocabulary Levels Test (NVLT), Word Associates Test (WAT), and TOEFL reading comprehension tests with low and high lexical cohesion determined through the computational tool Coh-Metrix. Results of Wilcoxon signed-rank tests revealed that the students outperformed on three types of TOEFL reading items (Main Idea, Inference, and Lexical Inferencing) for texts with high lexical cohesion. Multiple linear regression analyses further showed that vocabulary depth was a stronger predictor of the participants’ scores on Lexical Inferencing item of TOEFL reading texts with high lexical cohesion, while vocabulary size predicted the same item performance for the low-lexical-cohesion subtest. Moreover, vocabulary depth could significantly predict performance on Main Idea test item of TOEFL high-lexical-cohesion subtest over and above the low-lexical-cohesion subtest. The implications for teachers, test designers, and materials writers are discussed.

The aim of this study is to investigate the evolution of sport tourism research and identify research gaps in the field. This descriptive-analytical research utilizes a bibliography and illustration method to achieve these goals. A total of 644 articles were extracted from the Web of Science database, and their bibliometric data were analyzed using VOS viewer software. The findings reveal the trend of publishing articles and citing them in recent years, while also outline the most cited articles, researchers, journals, and universities. Additionally, the primary country in the collaboration network was identified. Keyword co-occurrence analysis indicates that the majority of research in this field pertains to sport events and their management. The results also underscore a limited focus on the approach of service dominant logic and its derived concepts. Additional areas for future research include examining tourists' behavior as customers throughout all travel stages, investigating the impact of technology on sports tourism, and exploring tourists' behaviors.