Purpose: This study investigates the impact of blockchain technology on green supply chain practices with the aim to promote pro-environmental settings in supply chains of manufacturing firms. Moreover, mediating role of environmental orientation is examined between blockchain technology and green supply chain practices. Also, moderating role of technological orientation in this connection is undertaken.Design/methodology/approach: The authors have applied a quantitative methodology in which a questionnaire was developed from literature. After that, data are collected from manufacturing firms of Malaysia. The data collected are analysed by using PLS-SEM in which multiple regression and moderation are applied.Findings: The results of this study confirm the positive impact of blockchain on green supply chain practices. Also, the mediating role of environmental orientation is revealed in this relationship. Moreover, technological orientation is confirmed as a moderator which strengthens the relationship between blockchain technology and green supply chain practices.Research limitations/implications: This study has collected data from manufacturing firms of Malaysia. However, the authors have not undertaken service sector firms. Thus, they recommend future researchers to consider service sector firms in this context. Moreover, they have taken SMEs for this study and have neglected large firms. Therefore, in future, large firms could be taken to test the current study's perspective in them. Furthermore, this study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits.Practical implications: This study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits. First, it will enhance the integration across the streams of the supply chain; secondly, it will improve the demand and supply planning which will eliminate the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. Importantly, these processes are against the pro-environmental behaviour which is pivotal to achieve green supply chain practices.Originality/value: This study contributes by joining the technological perspective of Industry 4.0 technologies and sustainability perspective of green supply chain in manufacturing concerns. In addition, the related concepts of technological orientation and environmental orientation are also undertaken to further adjoin the former fields. As a practical contribution, this study will, first, enhance the integration across the streams of supply chain; secondly it will improve the demand and supply planning which will eliminates the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. It is also suggested to instil pro-environmental behaviour or environmental orientation in the employees at all levels of firm. Moreover, technological orientation should also be improved by emphasizing on the importance of technology for environmentally friendly and green supply chain practices.

Employees are the fundamental source of a sustainable competitive advantage. Without the high quality of human capital, organisations cannot attain a competitive advantage that can be sustained over time. Employer branding is a strategy that focuses on engaging and attracting the best talent from the job market, which is crucial for sectors known for high employee turnover rates. In recent years, digital platforms and information technology systems have revolutionised employer branding by helping organisations connect with talent in more personal and innovative ways. In this study, we sought to explore and understand the role of LinkedIn in employer branding efforts and evaluate the benefits of using LinkedIn to brand an employer as the first choice for prospective employees. Additionally, the research proposes a LinkedIn-Integrated Employer Branding Model (LIEBM) that incorporates LinkedIn strategies. Qualitative data were collated from the recruiting heads of the leading four- and five-star hotels in Al Ain, United Arab Emirates. The findings indicate that LinkedIn is widely used to improve an organisation’s employer brand image through various strategies. The results also demonstrate that employing LinkedIn strategies enhances the benefits of employer branding, contributing to actionable insights in the hotel industry to make excellent decisions at pre-recruitment, recruitment and selection stages.

The development of technology and the availability of patient data have been increasing the leveraging of a data-driven approach to improve diagnostic accuracy. This research introduces a virtual diagnosis program that employs neural networks to predict diseases based on a dataset of 4,920 patients and 132 symptoms. Through exploratory data analysis and correlation analysis, significant associations between symptoms and diseases are identified. The developed system achieves an impressive accuracy rate of 95.6% in diagnosing diseases by utilizing advanced optimization techniques for training the neural network model. This accuracy demonstrates the potential of the program to assist healthcare professionals in making accurate diagnoses, enhancing the precision and efficiency of disease identification. The data-driven approach of this virtual diagnosis tool complements medical expertise, offering valuable support for timely and accurate diagnoses.

This study examines how diversity and inclusion are communicated in LinkedIn job advertisements as workplace communication texts. Using qualitative, discourse-oriented analysis of job advertisements from global hotel brands, the study identifies recurring discursive frames through which organisations construct inclusivity, including belonging-oriented language, celebration of diversity, formal equal opportunity claims, and well-being–focussed narratives. These discourses are realised through specific communicative signals such as non-discrimination statements, values-based cultural cues, identity-affirming language, and references to inclusive policies. The study proposes the Inclusive Recruitment Communication Process conceptual framework, explaining inclusive recruitment communication as a platform-mediated process linking discourse, signalling, and conceptualised applicant sensemaking.