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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 purpose of this study is to evaluate the perceived usefulness and satisfaction levels of undergraduate students with respect to university library portal services, specifically within selected universities in South-West Nigeria.

A descriptive survey research design was used to investigate the perceived usefulness and satisfaction levels among undergraduate students regarding university library portal services. Data were collected through surveys administered to 658 undergraduate respondents across multiple universities in South-West Nigeria.

The findings indicate that undergraduate students’ top reasons for using the portal were for tasks such as locating research materials, accessing databases, requesting bibliographies and checking the library catalog. Library computers and school information and communication technology center computers were identified as the most preferred access point, followed by computer labs and campus Wi-Fi networks. Undergraduates rated the portals as highly useful, particularly for saving time locating resources, checking material status and patronizing the library. High satisfaction was reported for services such as attending workshops, events and receiving research support through the portals workshops. Moderate satisfaction levels existed for accessing policies/hours, the institutional repository and renewals of books online. A strong positive correlation (r = 0.785, p < 0.05) was found between perceived usefulness and satisfaction.

This study contributes to the understanding of undergraduate students’ perceptions regarding the utility and satisfaction of university library portal services in the context of South-West Nigeria. It underscores the importance of aligning portal services with students’ academic and research needs to enhance overall satisfaction levels. In addition, it provides insights into areas where improvements can be made to further enhance the effectiveness and satisfaction derived from these services.

This study aims to understand the social cooperative model's empowerment and social cohesion impacts based on the case of a cooperative with the partnership of local and refugee women in southern Türkiye to give evidence for the potential and challenges of women cooperatives.

The authors conducted surveys and focus group interviews with both members and board members. The authors grounded the findings in dimensions extracted from literature on the impact of cooperatives on their members and the wider community.

The social cooperative economically empowers women through employment and income generation, and skill training while enhancing them socially with increased decision-making power, autonomy, self-esteem and respect. It fosters social cohesion between local and refugee members by building trust and peace, solidarity, knowledge sharing and collective action. However, the cooperative faces challenges in managing sustainable business models, and cooperative membership does not ensure a steady income, social security, economic independence or a fairer division of domestic work.

The challenges and limited outcomes of social cooperatives are primarily due to resource scarcity. Hence, these needs must be considered by policymakers and sponsors of women empowerment programmes so that they can offer response actions to empower social women cooperatives. During the research period, the COVID-19 pandemic posed a significant threat to the survival of the cooperative. Moreover, the restrictions imposed by the pandemic made it impossible to engage Syrian women in focus group discussions. Consequently, the focus group interactions were limited to two Palestinian members, while Syrian members were included in survey interviews.

This study is one of the few attempts to examine the social cooperative model’s impact on women’s empowerment and social cohesion in the context of a mixed membership of local and refugee women in Türkiye. Fieldwork evidence on cooperatives that improve gender equality and inclusive growth can contribute to the advocacy of support for women’s cooperatives in the context of refugees.

The purpose of this study is to navigate the process of transforming Wikipedia articles into audio files for library readers. The system provides a feasible manner of listening to Wikipedia content, accommodating diverse learning preferences and enlarging knowledge in education society.

This framework has been constructed using the Python programming languages in the Linux operating platform. Application programming interface and Google text-to-speech (TTS) are required as additional software packages to design this prototype system. Transform any Wikipedia pages into audio files through Wikitrola for libraries and information centers. Wikipedia articles are directly transformed into audio, as these integrate the content seamlessly for the user experience. The whole system has been designed and configured on the basis of machine learning to provide dynamic services among the readers.

The viewer could use the machine learning system to turn Wikipedia articles into audio files, allowing them to listen to Wikipedia content in audio format. This would make information more accessible and adaptable to diverse learning modes, allowing written content to be engaged in novel and visionary ways.

The insightful observation in connection with the paper is that it shows how to convert text-based material into audio through the Google TTS and machine learning Python programming and finally incorporate them in Wikipedia articles. A harmonious system of information dissemination and technical education is established. This approach shows the effectiveness of imagination and the use of programming tools to enhance learning and knowledge-seeking processes.

The provision of an accessible and inclusive built environment is both a common regulatory requirement for architects and facilities managers, and a critical issue of equitable access for people with disability. Post Occupancy Evaluation (POE) is key to ensuring appropriate building accessibility is provided and maintained. Improved Building Information Modelling (BIM) integration with Facilities Management (FM) will enable more effective POE over time. This study aims to define and demonstrate the practicability and utility of a particular configuration of emerging BIM and related digital technologies, applied in the field.

A field study approach is applied to investigate the practicability and utility of the technology configuration and POE procedures. A proposed technology configuration is applied to evaluate 21 accessible bathrooms across three university buildings in Sydney, Australia. First, a checklist of technical functionality for a POE of accessible bathrooms particular to the field study FM context is established. The checklist is based on a review of recent literature, relevant standards, best practice guidelines, expert opinions, and the organisational requirements. Then, a technical and procedural approach to POE and BIM integration with FM is defined and applied in the field. Finally, a quantitative analysis of the results is presented and discussed relative to both the particular and general FM contexts.

The use of low-cost BIM and related technologies can usefully be applied in the field to promote a more progressive integration of BIM with FM and provide enhanced baseline models for ongoing POE. A rudimentary risk assessment of key accessible bathroom features (in the context of this field study) identified that the Toilet: toilet rolls location is unsatisfactory across all bathrooms surveyed and represents an immediate and high-risk failing. Other high-risk issues highlighted in this study included: Approach: access; Entrance: door fittings and security; and Layout: hazards.

This study offers a blue-print for building practitioners to adopt and progressively integrate low-cost BIM and related technologies with extant FM systems. The study also promotes an improved approach to effective POE practice in general, and to the assessment of accessible bathrooms in particular.

Recent reviews highlight key barriers to BIM integration with FM and significant limitations to current POE practice. Proposals for BIM integration with FM tend to focus on the comprehensive use of BIM. This study demonstrates the practicability and utility of a more progressive approach to BIM adoption and integration with FM in general. The study is also novel in that it shows how low-cost BIM and related technologies can be used as a baseline reference for ongoing POE. Building practitioners can adopt and adapt the technology configuration and approach to support a range of POE applications. This field study has identified immediate and high-risk potential failings of the accessible bathrooms provided on one university campus in Sydney, Australia.

Drawing upon curiosity drive theory, we examine the effects of epistemic curiosity (EC) on employees' innovative work behavior. Additionally, we explore the potential mediating role of work engagement (WE) and the moderating effects of leader-member exchange (LMX).

The data were collected from 406 employees employed in public service organizations within the United Arab Emirates. Structural equation modeling was employed as the analytical approach to test the hypotheses.

The findings of this study indicate that EC is positively related to innovative work behavior. Further, WE mediates the relationship between EC and creative work behavior. Moreover, LMX moderates the indirect effect of WE on the link between EC (interest and deprivation types) and innovative work behavior. The mediating association is stronger when the leader and member’s exchange is high.

This study will assist practitioners of service organizations in focusing their attention on EC to enhance employees' innovative work behavior and achieve optimal performance. Our research extends work on interest and innovative work behavior in an emerging economic context.

Our study suggests that policymakers should embrace the philosophy of curiosity to nurture innovative behavior in the workplace.

The purpose of this paper is to explore the impact of ChatGPT on the development of corporate social responsibility (CSR).

Based on the current applications of ChatGPT in enterprises and existing challenges in CSR, the paper analyzes how the tool promotes corporate sustainable development and what potential risks and challenges are in the practical application.

This paper finds that ChatGPT can promote the development of CSR from four aspects: to support social responsibility activities, to strengthen internal control, to promote external supervision and to convey the notion of sustainability and other corporate philosophies for enterprises.

This paper provides the ground for applying ChatGPT to CSR and includes the potential risks and challenges of the practical applications that enterprises can use for reference.

ChatGPT is becoming increasingly popular and mature, but its applications and effectiveness are less mentioned in CSR. In the future, the research in this area needs to be further advanced.

This paper makes contributions to the link between ChatGPT and CSR. To the best of the authors’ knowledge, this is one of the first studies that explore the applications, impacts, challenges and opportunities of the technology in the area of social responsibility.

Grounded in social cognitive career theory, this study investigates how employees' perceptions of job security and well-being affected their performance during the COVID-19 pandemic. It also examines the moderating effects of perceived organizational support and psychological capital on well-being and performance.

Using a two-wave time-lagged design, data were collected from 279 frontline employees in public service organizations in Saudi Arabia.

The study’s results show that perceived job security significantly affects job performance. Employee well-being significantly and positively influences job performance and partially mediates the relationship between perceived job security and job performance. Additionally, perceived organizational support and psychological capital positively moderated the relationship between employee well-being and job performance during the pandemic.

This study suggests that policymakers and practitioners need to prioritize addressing the job security concerns and well-being of frontline employees during a pandemic to enhance employee performance.

Our findings present significant implications for policymakers in the context of job security and performance within public organizations in emerging countries.

本研究以社會認知生涯理論為基礎,去探討在2019冠狀病毒病疫情期間,僱員對職業保障和福祉的看法如何影響他們的工作績效; 研究亦擬探討感知組織支持和心理資本對福祉和工作績效所起的調節作用。

研究人員使用雙波時間遞延設計收集數據; 數據取自於沙特阿拉伯的公共服務組織內工作的279名一線員工。

研究結果顯示,僱員的感知職業保障會對他們的工作績效有顯著的影響; 另外,僱員的福祉會正面和顯著地影響他們的工作績效; 而且,僱員的福祉也會局部地調節感知職業保障與工作績效之間的關係。再者,研究人員發現,在大流行期間,感知組織支持和心理資本正面調節了僱員福祉與工作績效之間的關係。

研究結果建議政策制定者和從業人員必須於大流行肆虐期間,優先處理有關職業保障的關注和一線員工的福祉,俾能提升僱員的工作績效。

本研究的結果為政策制定者提供了重要的啟示,幫助他們於公共組織的環境內,能更有效地處理關於職業保障和僱員工作績效的事宜。

This study aims to investigate the effects of three dimensions of ChatGPT strategic value – organization support (OS), managerial productivity (IM) and decision aids (DA) – on the business sustainability (BS) of Malaysian public universities.

A quantitative methodology was adopted for this study to examine the relationships between ChatGPT strategic value and the BS of Malaysian public universities.

The study found that two dimensions of ChatGPT strategic value, namely, OS and IM, influence BS, whereas DA do not.

To the best of the author’s knowledge, this study is the first to address the relationship between ChatGPT strategic value and BS in a specific context – Malaysian public universities – providing new contributions to theory by extending the literature on the topic.

The findings are expected to guide universities in Malaysia in leveraging ChatGPT strategic value for enhancing BS.

To the best of the author’s knowledge, this empirical study is the first in the literature to examine the relationships between ChatGPT strategic value and BS in the education sector. Supported by an original conceptual model, the insights provided should extend the literature dedicated to ChatGPT strategic value and BS in the context of a South Asian economy.

This is a dual-focused study that anticipates qualitatively and quantitatively examining the literature on the recently initiated revolutionizing concept of ChatGPT in education by performing a Systematic Literature Review (SLR) and bibliometric analysis. Current study analyzed eight research questions: (1) the main information and annual scientific publications on ChatGPT in education, (2) the pioneer authors and collaborative authors exploring ChatGPT in education, (3) the authors' productivity through Lotka’s Law of Authors’ Scientific Productivity, (4) the most pertinent sources on ChatGPT in education and how are sources clustered through Bradford’s Law of Scattering, (5) the most related, cited countries and the nature of international collaborations exploring ChatGPT in education, (6) the most relevant publications exploring ChatGPT in education, (7) the most occurring and trending keywords in the empirical studies on ChatGPT in education, and (8) the themes and areas for future investigations on ChatGPT in education.

The current study was designed as a SLR and bibliometric analysis, extracting articles from the Scopus database and utilizing both Biblioshiny and VOSviewer software for advanced scientific mapping and visualizations via quantitative and qualitative analysis approaches.

The results indicated that ChatGPT in education is a progressively evolving worldwide concept generating 45 scientific publications from 2023 to 2024 (May). The USA, China, and Indonesia are the most productive countries that have published articles on ChatGPT in education. The education systems, AI, students, educational computing, human experiments, teaching, educational status, chatbots, generative AI, academic integrity, educational technology, worldwide education, and technology acceptance are the pertinent future directions in the field of ChatGPT in education.

The analysis’s outcomes will enhance the area of study with theoretical and practical implications and benefit students, teachers, policymakers, regulators of educational and higher educational sectors, government, and the general public worldwide with effective utilization of ChatGPT in education.