Purpose: This research paper aims to justify the need for the Quality of Hire (QOH) construct as a value-adding focus for strategic human resource management (SHRM). The traditional focus on efficiency and cost-oriented recruitment metrics overlooks the importance of QOH in providing a competitive advantage and delivering long-term value. The study expands the economic theory of human resource development and develops a profit-building concept relevant to SHRM by exploring the practices that enable QOH in organizations. Design: The study utilizes a case-study method to examine a target firm’s mechanisms to build QOH in its recruitment process. It applies a structuration theory lens to analyze the behavior of various actors, their agencies, and the continuous interplay between structure and action in enabling QOH. Findings: The findings suggest that assessing and building measures for getting QOH is a complex task for organizations due to the inherent reliance on lag measures such as performance and tenure. The study highlights that QOH can be enabled through changes in the firm’s recruitment practices. Originality: This paper contributes to recruitment research in two significant ways. First, it expands on the under-researched construct of QOH, providing clarity on its definition and importance. Second, it identifies lead practices that organizations can incorporate into their recruitment and selection processes to enable QOH. By using a structuration theory lens, the study explores how actors in the recruitment process adapt and align with new structural rules to enable QOH. Research implications: The research builds on the structuration theory in recruitment and selection and exhorts practitioners in organizations to move beyond efficiency-oriented recruitment practices and focus on practices that contribute to QOH. By considering post-hire outcomes, such as job performance and long-term retention, organizations can improve their talent acquisition and retention strategies, creating long-term value for the organizations.

The aim of this paper is to introduce a research project dedicated to identifying gaps in green skills by using the labor market intelligence. Labor Market Intelligence (LMI). The method is primarily descriptive and conceptual, as the authors of this paper intend to develop a theoretical background and justify the planned research using Natural Language Processing (NLP) techniques. This research highlights the role of LMI as a tool for analysis of the green skills gaps and related imbalances. Due to the growing demand for eco-friendly solutions, there arises a need for the identification of green skills. As societies shift towards eco-friendly economic models, changes lead to emerging skill gaps. This study provides an alternative approach for identification of these gaps based on analysis of online job vacancies and online profiles of job seekers. These gaps are contextualized within roles that businesses find difficult to fill due to a lack of requisite green skills. The idea of skill intelligence is to blend various sources of information in order to overcome the information gap related to the identification of supply side factors, demand side factors and their interactions. The outcomes emphasize the urgency of policy interventions, especially in anticipating roles emerging from the green transition, necessitating educational reforms. As the green movement redefines the economy, proactive strategies to bridge green skill gaps are essential. This research offers a blueprint for policymakers and educators to bolster the workforce in readiness for a sustainable future. This article proposes a solution to the quantitative and qualitative mismatches in the green labor market.

In the process of global economy, in the face of increasing business competition, it is more difficult than ever for brands to approach consumers and persuade them to consume. In the commercial environment, the competition between enterprises is essentially the competition of brands, and the competition of brands must first carry out the competition of brand image. Brand image carries the mission of information dissemination and value creation and plays an important role in business behavior. How to improve customer purchase intention by optimizing brand image and greatly promote the development of business through brand image is the purpose of this study. The construction and application of brand image not only covers all the characteristics of the brand, but also the focus of consumers’ attention when choosing brands and products. This paper comprehensively uses the systematic theories and methods of art design, marketing and consumer psychology and behavior as support, and adopts research methods such as literature data to explore and study the field of brand image. This study finds that customer perception of brand image directly affects customer purchase intention. At present, there are relatively few researches on how brand image can empower business. Through the study of “optimizing brand image to improve customer purchase intention”, this paper focuses on the direction of brand image empowering business, broadens the research breadth and depth in the field of brand image, and enrichis the research achievements in the field of brand image.

 This study employs a virtual reality (VR) game to examine the role of VR gaming in learning Saudi cultural heritage. By creating 3D (Three-dimensional) virtual heritage buildings, the game immerses players in cultural scenes, fostering a lasting appreciation for art history. Objectives include making heritage information dissemination engaging, blending learning and entertainment in a 3D environment, designing a gamified setting for active learning, and igniting interest in culture, tradition, architecture, and art history. This paper further highlights the significance of serious gaming in promoting the Saudi cultural heritage among the younger generation. The research involved immersing 59 participants into a heritage building environment using a VR game and then probing their experience of the environment through a questionnaire. Results indicate positive participant experiences, increased interest in Saudi cultural heritage and appreciation for VR technology. The study demonstrates the potential of VR games to make heritage accessible and enjoyable for the younger generation, motivating further exploration and learning. Valuable resources are provided for individuals and researchers interested in using VR gaming for cultural heritage engagement.

Named Entity Recognition (NER), a core task in Information Extraction (IE) alongside Relation Extraction (RE), identifies and extracts entities like place and person names in various domains. NER has improved business processes in both public and private sectors but remains underutilized in government institutions, especially in developing countries like Indonesia. This study examines which government fields have utilized NER over the past five years, evaluates system performance, identifies common methods, highlights countries with significant adoption, and outlines current challenges. Over 64 international studies from 15 countries were selected using PRISMA 2020 guidelines. The findings are synthesized into a preliminary ontology design for Government NER.

In today’s fast-paced digital world, generative AI, especially OpenAI’s ChatGPT, has become a game-changing technology with significant effects on education. This study examines public sentiment and discourse surrounding ChatGPT’s role in higher education, as reflected on social media platform X (formerly Twitter). Employing a mixed-methods approach, we conducted a thematic analysis using Leximancer and Voyant Tools and sentiment analysis with SentiStrength on a dataset of 18,763 tweets, subsequently narrowed to 5655 through cleaning and preprocessing. Our findings identified five primary themes: Authenticity, Integrity, Creativity, Productivity, and Research. The sentiment analysis revealed that 46.6% of the tweets expressed positive sentiment, 38.5% were neutral, and 14.8% were negative. The results highlight a general openness to integrating AI in educational contexts, tempered by concerns about academic integrity and ethical considerations. This study underscores the need for ongoing dialogue and ethical frameworks to responsibly navigate AI’s incorporation into education. The insights gained provide a foundation for future research and policy-making, aiming to enhance learning outcomes while safeguarding academic values. Limitations include the focus on English-language tweets, suggesting future research should encompass a broader linguistic and platform scope to capture diverse global perspectives.