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This research explores the impostor phenomenon (IP) within the context of gender and leadership, aiming to transform impostor feelings into catalysts for leadership empowerment and positive career outcomes.

Utilizing grounded theory, this study conducts in-depth interviews with 34 female Spanish senior executives to analyze their experiences with IP.

The research reveals that top executive women are not only affected by IP but can also harness it to foster personal and professional growth. It identifies key strategies – such as self-reflection, effective communication and cultivating positive habits – that enable women to transform IP into a lever for enhancing their careers. This approach leads to a proposed virtuous cycle model that empowers women to overcome the negative impacts of IP and advance their leadership capabilities.

This study contributes to the literature on gender and leadership by offering insights into the gendered nuances of IP. By framing IP as a potential catalyst for growth rather than a barrier, the study provides practical tools for human resource (HR) departments to promote gender diversity at senior levels. It also advocates for HR practices to dismantle internal barriers to women’s career progression and address conscious and unconscious gender biases.

How closely does the translation match the meaning of the reference has always been a key aspect of any machine translation (MT) service. Therefore, the primary goal of this research is to assess and compare translation adequacy in machine vs human translation (HT) from Arabic to English. The study looks into whether the MT product is adequate and more reliable than the HT. It also seeks to determine whether MT poses a real threat to professional Arabic–English translators.

Six different texts were chosen and translated from Arabic to English by two nonexpert undergraduate translation students as well as MT services, including Google Translate and Babylon Translation. The first system is free, whereas the second system is a fee-based service. Additionally, two expert translators developed a reference translation (RT) against which human and machine translations were compared and analyzed. Furthermore, the Sketch Engine software was utilized to examine the translations to determine if there is a significant difference between human and machine translations against the RT.

The findings indicated that when compared to the RT, there was no statistically significant difference between human and machine translations and that MTs were adequate translations. The human–machine relationship is mutually beneficial. However, MT will never be able to completely automated; rather, it will benefit rather than endanger humans. A translator who knows how to use MT will have an opportunity over those who are unfamiliar with the most up-to-date translation technology. As MTs improve, human translators may no longer be accurate translators, but rather editors and editing materials previously translated by machines.

The findings of this study provide valuable and practical implications for research in the field of MTs and for anyone interested in conducting MT research.

In general, this study is significant as it is a serious attempt at getting a better understanding of the efficiency of MT vs HT in translating the Arabic–English texts, and it will be beneficial for translators, students, educators as well as scholars in the field of translation.

The impact of government expenditure on economic performance has been a topic of discussion at both the sectoral and aggregate national levels. Despite its theoretical importance, evidence from literature indicates that this relationship has not been universally accepted across different countries and sectors. Given the significance of agriculture in African economies, particularly in Ghana, and the role of government in this sector, this study examines the impact of government expenditure on agricultural productivity in Ghana from 2000Q1 to 2022Q4.

Specification of the model was done based on the Autoregressive Distributed Lag (ARDL) cointegration bound test approach.

The results revealed that the studied variables cointegrated in the long run. Government expenditure was found to induce agriculture production both for the long run and short run within the period of the study, implying that government expenditure matters in inducing agriculture productivity in Ghana.

The study employed the ARDL methodology to investigate government expenditure and agriculture production contagion in Ghana, which has been specifically overlooked by previous studies. It is suggested that the Government of Ghana as well as others in similar environment should increase investment into the agriculture to boost the productivity of the sector.