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The digitization of electronic document management (EDM) in the construction industry has become more common in nature with the evolution of technology. However, there are still some limitations in EDM in the common data environment which can be improved with the integration of blockchain technology. The purpose of this paper is to identify the limitations of the current EDM system in the construction industry, to determine the potential of blockchain in improving the EDM system in the construction industry and challenges towards blockchain-based EDM.

Semi-structured interviews were conducted with nine (9) respondents with background from the construction industry and blockchain expertise. Content analysis was used to analyze the primary data.

Current EDM system in the construction industry possessed limitations such as system maturity, high cost, slow adoption of technology and security concerns. Blockchain is able to make improvements in the current EDM system in terms of data integrity, data tracking, data immutability, data security, data trustability, and data accountability. Several challenges such as costs, blockchain scalability and industry knowledge, industry culture and hardware need to overcome prior blockchain-based EDM systems can be widely applied in the construction industry.

The research findings provide insight on future EDM in the construction industry and aids future research in this field.

This study aims to examine the effects of the proposed mobile Web library application (MWLA) on the search experience and its impact on learners’ engagement, interaction and overall learning outcomes within an institutional repository. Furthermore, the study investigates learners’ acceptance of the MWLA system.

The study suggests implementing an MWLA with Algolia’s search service to improve the institutional repository and enhance learners’ access to reliable information. It involved an experiment with 85 undergraduate students divided into experimental and control groups (CGs), where the experimental group (EG) used MWLA for search tasks, and the CG used the traditional library website. The study evaluated the acceptance and learning behaviours of the EG towards MWLA, considering factors such as usefulness, ease of use, mobility, accessibility, satisfaction and intention to use.

The findings of this study provide empirical evidence that the EG, which used the MWLA, demonstrated superior performance compared to the CG across all institutional repository collections, resulting in improved learning outcomes. Participants were highly satisfied with MWLA and found it user-friendly and beneficial for improving search skills. MWLA’s portability and accessibility motivated active learner engagement.

The powerful search bar of MWLA significantly enhanced learners’ search efficiency, resulting in more effective retrieval of relevant materials. Moreover, learners who actively engaged with previews and full-text content, using appropriate keywords and syntax, achieved higher scores and were more likely to access previews, abstracts and full texts of documents using the sorting-by-year or by-advisor feature.

Poor cash flow management and lack of profitability have plagued the construction industry for decades. In response, the UK Government published the project bank account (PBA) payment strategy in 2012 to mitigate main contractors unfairly withholding liabilities. However, PBAs suffer from adoption challenges, such as systems fragmentation and a lack of incentives for main contractors to adopt them effectively. This study aims to investigate how to reduce systems fragmentation in construction by integrating PBA procedures with existing management workflows to increase payment automation, resulting in improved cash liquidity and better incentives for using PBAs.

A PBA blockchain decentralised application is developed, presented and critically evaluated. Blockchain is the technology used because of its permissionless, license-free, open-source and immutability properties. It is a suitable general-purpose technology layer for building and testing applications without the limitations associated with centralised technologies, such as high proprietary fees, vendor lock and intellectual property restrictions.

The research demonstrates how a blockchain application can integrate siloed construction workflows such as cash flow scheduling, supply chain management and payment executions, reducing the management workload for implementing PBAs in construction projects. Furthermore, the proposed application is open-source and replicable, and its user interface is available for external testing here: https://console.atra.io/app/bf26f846-7f16-4f80-90a0-c5488ab6edd3.

PBA is a suitable test case because it enforces an auditable, transparent and neutral account, which are inbuilt properties of blockchains; thus, both systems are harmonious to integrate. PBA is mandated in UK public sector construction projects; therefore, the research has a solid practical foundation.

In light of Egypt’s expanding flow of online learning (OL), quality assurance (QA) has undoubtedly become a strategic priority. In the near future, QA strategy is anticipated to be a major topic of discussion in educational policy talks. Critical policy concerns must be addressed, like sustaining globally acceptable QA standards and responding to the government’s and other stakeholders’ goals and objectives for OL. Our chapter aspires to offer a contribution to current literature in this regard. This chapter aims to investigate the aspects of QA in maintaining OL, particularly in light of the COVID-19 pandemic. Particularly, we analyze internal QA of OL in the Egyptian higher education (HE) sector through quality assurance and accreditation project (QAAP) and program of continuous improvement and qualifying for accreditation (PCIQA). We discuss the external quality assurance and accreditation of Egyptian HE institutions with a special focus on the national authority for quality assurance and accreditation of education (NAQAAE). We investigate the policies, practices, and quality standards that are employed by HE institutions to ensure the quality of online courses and programs through document analysis.

This study aims to examine Big Data and the management of libraries in the era of the Fourth Industrial Revolution and its implications for policymakers in Nigeria.

A qualitative methodology was used, involving the administration of open-ended questionnaires to librarians from six selected federal universities located in Southwest Nigeria.

The findings of this research highlight that a significant proportion of librarians are well-acquainted with the relevance of big data and its potential to positively revolutionize library services. Librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

This study exclusively focuses on the Nigerian context, overlooking insights from other African countries. As a result, it may not be possible to generalize the study’s findings to the broader African library community.

To the best of the authors’ knowledge, this study is unique because the paper reported that librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.

Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.

The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.

AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.

Digital transformation (DT) is a major challenge for incumbent organisations, as research on this phenomenon has revealed a high failure rate. Given this consideration, this paper reviews the literature on DT in incumbent organisations to identify the main themes and research directions to be undertaken.

The authors adopt a systematic literature review (SLR) and computational literature review (CLR) employing a machine learning algorithm for topic modelling (LDA) to surface the themes discussed in 103 peer-reviewed studies published between 2010 and 2022 in a multidisciplinary article sample.

The authors identify and discuss the five main themes emerging from the studies, offering the state-of-the-art of DT in established firms' literature. The authors find that the most discussed topics revolve around the DT of healthcare, the process of renewal and change, the project management, the changes in value performances and capabilities and the consequences on the products of DT. Accordingly, the authors identify the topics overlooked by literature that future studies could tackle, which concern sustainability and contextualisation of the DT phenomenon.

The authors further propose managerial insights which equip managers with a revolutionary mindset that is not constraining but, rather, integration-seeking. DT is not only about technology (Tabrizi B et al., 2019). Successful DT initiatives require managerial capabilities that foster a sustainable departure from the current organising logic (Markus, 2004). This study pinpoints and prioritises the role that paradox-informed thinking can have to sustain an effective digital mindset (Eden et al., 2018) that allows for the building of momentum in DT initiatives and facilitates the renewal process. Indeed, managers lagging behind DT could shift from an “either-or” solutions mindset where one pole is preferred over the other (e.g. digital or physical) to embracing a “both-and-with” thinking balancing between poles (e.g. digital and physical) to successfully fuse the digital and the legacy (Lewis and Smith, 2022b; Smith, Lewis and Edmondson, 2022), enact the renewal, and build and maintain momentum for DTs. The outcomes of adopting a paradox mindset in managerial practice are enabling learning and creativity, fostering flexibility and resilience and, finally, unleashing human potential (Lewis and Smith, 2014).

The authors propose insight that will equip managers with a mindset that will allow DT to fail less often than current reported rates, which failure may imply potential organisational collapse, financial bankrupt and social crisis.

The authors offer a multidisciplinary review of the DT complementing existing reviews due to the focus on the organisational context of established organisations. Moreover, the authors advance paradoxical thinking as a novel lens through which to study DT in incumbent organisations by proposing an array of potential research questions and new avenues for research. Finally, the authors offer insights for managers to help them thrive in DT by adopting a paradoxical mindset.

In 2015, Bursa Malaysia Berhad (BMB) issued the first edition of the Sustainability Reporting Guide (SRG 1.0) to aid Malaysian public listed companies (PLCs) in preparing corporate social responsibility reporting (CSRR). After receiving users' commentaries, BMB issued the second edition of SRG (SRG 2.0) in 2018. Given the major amendments in CSRR regulatory guidelines, there is a need to analyze the readability of CSRR in light of the new guide and to investigate the combined effects of SRG 2.0 and the assurance of CSR information on the readability of CSRR.

This study employs two readability indices to compare the readability of CSRR ex-ante and ex-post the implementation of SRG 2.0 across a sample of Malaysian PLCs that maintained their market capitalization among the top 100 companies.

The practical findings of the multivariate regression revealed that the readability of CSRR is reduced after the introduction of SRG 2.0. Meanwhile, the readability of CSRR is positively influenced by combining the effect of SRG 2.0 and CSRR assurance.

This study provides empirical evidence that the amendment to CSRR has made CSR reports more challenging to read and thus reduces their communicative value. Therefore, in their quest to mandate more CSRR information from companies, regulators might need to consider advocating that such data is reported in a readable manner. This study also shows the influential role of CSR information assurance in enhancing the readability of CSRR.

This study helps assess the readability of CSRR among Malaysian companies after the adoption of SRG 2.0. It also contributes to the literature on CSRR, as the readability of such reporting within the context of Malaysia has not been widely examined in previous studies.

An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.

The purpose of this study is to provide a detailed descriptive account and analysis of corporate internet reporting (CIR) practices among non-financial companies listed on the Egyptian Exchange (EGX) at two points in time – December 2010 (pre) and December 2013 (peri) political and social unrest in Egypt.

The study developed a disclosure index to determine the extent of CIR practices among all non-financial companies listed on the EGX in December 2010 and December 2013. The study uses ordinary least squares (OLS) regressions and isometric log-ratio transformations for compositional independent variables to empirically examine the factors affecting CIR in Egypt using a modern institutional theory lens.

The findings of this investigation suggest that listed companies in Egypt have started embracing the power of the internet as a disclosure channel, but the extent of these practices increased significantly over the investigated period, with great variations evident among the sampled companies in this regard. Such variations were chiefly dependent on the changing institutional actors over the two time frames. Additionally, the findings show that the time factor is particularly important for a given institutional field to induce a sufficient diffusion of corporate practices, especially in periods with drastic institutional change.

The evidence presented reflects the voluntary nature of CIR practices and the absence of a reinforced regulatory framework for organizing and monitoring such practices, with companies having discretion in terms of the amount and type of information disclosed via their websites. The results should, therefore, provide useful guidelines for regulators and standard-setters in identifying best practices, which, in turn, should allow CIR practices to become more consistent, making them easier to monitor and govern.

To the best of the authors’ knowledge, this is the first study that examines CIR practices at two points in time using a comprehensive disclosure index and a modern institutional theory lens.