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This study aims to explore how libraries in the United Arab Emirates use technology to preserve and digitize cultural and historical documents. It examined how these institutions use different technology models to facilitate the dissemination of UAE’s cultural traditions, practices, historical experiences and expressions to the local and global populations interested in learning about the country.

This study relied heavily on a review of the relevant literature and case studies covering how UAE libraries use technology to preserve, document and share tangible and intangible cultural heritage. The methodology entailed gathering and synthesizing relevant information from scholarly journal articles, government and reputable institutional resources online and reports. Collectively, it led to a close analysis of the impact of technology on cultural preservation and an assessment of the specific technology models preferred for optimal outcomes in preserving and disseminating cultural heritage information of the UAE.

Multiple UAE libraries rely heavily on technology to collect, record, translate and store cultural heritage information, including releasing it to users when required. The National Archives of the United Arab Emirates, the Arabian Gulf Digital Archive, Mohammed Bin Rashid Library, the UAE National Library and Archives, New York University Abu Dhabi and Khalifa University of Science and Technology and Research libraries have leveraged different technological models and tools to make UAE’s cultural heritage information available and accessible globally. Artificial intelligence and machine learning algorithms, three-dimensional imaging and scanning, electronic archiving systems, document management systems and ICT storage systems have helped the UAE libraries to promote and disseminate the nation’s tangible and intangible cultural heritage.

By relying on scholarly and authoritative sources of information and evidence to draw conclusions, this study contributes to the existing literature by offering insights into the innovative strategies used by UAE libraries to leverage technology for cultural preservation and promotion. In underlining the value of digital approaches to safeguard tangible and intangible cultural heritage, the research highlights the instrumentalism of technology in preserving the UAE’s cultural heritage and identity.

We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

The increased availability and adoption of precision agriculture technologies has left researchers to grapple with how to best utilize the associated high-frequency large-volume of data. Since the wealth of information from precision equipment can easily be aggregated in real-time, this poses an interesting question of how aggregates of high-frequency data may complement, or substitute for, publicly released periodic reports from government agencies.

This study utilized advances in event study and yield projection methodologies to test whether simulated weekly harvest-time yields potentially drive futures price that are significantly different from the status quo. The study employs a two-step methodology to ascertain how corn futures price reactions and price levels would have evolved if market participants had access to weekly forecasted yields. The marginal effects of new information on futures price returns are first established by exploiting the variation between news in publicly available information and price returns. Given this relationship, the study then estimates the counterfactual evolution of corn futures price attributable to new information associated with simulated weekly forecasted yields.

The results show that the market for corn exhibits only semi-strong form efficiency, as the “news” provided by the monthly Crop Production and World Agricultural Supply and Demand Estimates reports is incorporated into prices in at most two days after the release. As expected, an increase in corn yields relative to what was publicly known elicits a futures price decrease. The counterfactual analysis suggests that if weekly harvest-time yields were available to market participants, the daily corn futures price will potentially be relatively volatile during the harvest period, but the final price at the end of the harvest season will be lower.

The study uses simulation to show the potential evolution of corn futures price if market participants had access to weekly harvest-time yields. In doing so, the study provides insights centered around the ongoing debate regarding the economic value of USDA reports in the presence of growing information availability within the private sector.

The purpose of this paper is to analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension.

A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period.

While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual.

This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.

Building on the premise that the CEO position is complex and challenging, and drawing on research on upper echelons, executive job demands and emotions, this study explores how chief executive officers' (CEOs’) perceptions of job-associated difficulty can influence negative emotional displays and subsequently hamper firm innovation. Additionally, the authors explore how CEOs with higher levels of emotional intelligence might mitigate the influence of job demands on negative emotional displays.

The authors conducted a two-stage survey with a sample of CEOs and top management team members from 120 small- and medium-sized firms operating in multiple industries in Colombia.

The authors found that CEOs' perceptions of job demands are positively associated with CEOs' displays of negative emotions, which in turn are negatively associated with firm innovation. The authors also find that two dimensions of emotional intelligence (self-appraisal and regulation) weaken the influence of CEO perceptions of job demands on CEO negative emotional displays.

The authors advance a novel perspective on the challenges of leading organizations by explaining the emotional implications of the CEO position, underscoring their repercussions for important organizational outcomes such as innovation and suggesting potential ways CEOs can handle the emotional consequences of their position.

This study investigates a novel educational strategy in science, technology, engineering and mathematics (STEM) teaching that integrates the engineering design process (EDP) as a framework. The strategy aims to help teachers explain STEM concepts in a simplified way. We employed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology to enable a systematic review that evaluated the effectiveness of this approach in improving both teaching and learning in STEM subjects.

In order to fulfill the objectives of the review, key data were extracted from each of the 400 articles that were reviewed from three databases: Scopus, ProQuest Central and EBSCO. Two types of analysis were conducted, namely descriptive analysis and literature classification.

This systematic review analyzed 44 articles on the EDP, focusing on 18 detailed studies mainly from ProQuest, SCOPUS and EBSCO. It revealed a limited focus on gender’s impact on EDP and a trend toward interdisciplinary use and integrated research approaches. The study underscores the need for further exploration of demographic influences and preparation programs in EDP across various disciplines, aiming to inform future research and educational policies.

The study’s value lies in its comprehensive assessment of engineering design (ED) research over the past decade, serving as a key reference point. It highlights progress in the field, consolidates findings and provides insights into the field’s evolution, guiding future research directions in ED.

Blockchain technology offers numerous venues for supply chain applications and research. However, the connections between specific blockchain features and future applications have been unclear to date in its evolution. The purpose of this study is to fill this void.

The authors advance the understanding of blockchain in supply chain management by providing a new research framework built on unique blockchain features as applied across core supply chain functions.

This study’s framework is a feature-function matrix that integrates four overarching supply chain functions (i.e. supplier management, logistics, production processes and customer management) with nine blockchain features (i.e. traceability/provenance, accessibility, visibility, immutability, distributed/shared ledger, validity, peer-to-peer transacting, pseudonymity and programmability). This study’s feature-function framework is supported by a structured, systematic review of reviews using PRISMA methods. The authors use the framework to present a future blockchain research agenda in supply chain management.

The authors provide a new blockchain feature/supply chain function framework and provide a structured path for future research.