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Despite the growing construction subject of Design for Safety (DfS) in Malaysia, little effort has been made to understand the construction organisational DfS capability in a dynamic environment. This study aims to propose a framework for dynamic DfS capabilities for construction organisations in Malaysia.

A quantitative research methodology was used for this study. Data were gathered from three hundred and six (306) practitioners from diverse construction organisations, including government agencies, consultants, contractors and developers in Malaysia, using an online questionnaire survey during four online DfS webinars. Descriptive and inferential analysis, as well as content analysis techniques, were used to analyse the collected data.

Analysis of the survey data showed that all six key DfS organisational capability elements identified in the literature, which the respondents were required to assess, have a strong influence on determining the DfS capabilities of construction organisations. The elements ranked as most influential include DfS knowledge of the designer; DfS experience of the designer; Top management’s commitment to DfS; Design risk management; and Project review. Based on these findings, a framework for dynamic DfS organisational capabilities is proposed. This framework incorporates four essential capabilities – sensing, learning, integrating and coordinating – and is anchored by the aforementioned six key elements as foundational to deriving value from DfS practices.

The proposed DfS organisational capabilities framework will facilitate construction organisations’ focus on the dynamic environment while striving for successful DfS practice in construction projects.

This study extends the DfS literature in the construction context by providing deeper insights into the conceptualisation of dynamic DfS organisational capabilities where DfS regulatory framework is still evolving. This study also highlights organisations’ importance in perceiving and prioritising their abilities to sense changes, learn and internalise new competencies, integrate resources and coordinate activities, reflecting their unique strategic focuses and operational needs toward DfS practice.

Digital sustainability involves the ability of industries and professionals to adapt to rapidly changing technological landscapes. Digitalisation and artificial intelligence (AI) are expected to radically change the maritime industry’s job landscape, especially with autonomous ships. International organisations currently do not formalise the education of maritime professionals and deck officers and need new formal modules. This study aims to contribute to this aspect by investigating learners’ experiences and knowledge gaps in the fundamentals of, as supported by the andragogy theory, topics such as computer programming, cybersecurity and statistics.

The research was carried out at Southampton Solent University, with samples of 105 students attending various MSc courses in maritime operations and deck cadet courses. The data was collected through an online survey. The two groups were compared and analysed using a chi-square test.

The results show that the percentage of MSc students with previous training in statistics, computer programming and cybersecurity courses was 37%, 13% and 16%, respectively. The deck officers’ training in the same areas was 06%, 09% and 09%. The results of this study were used to develop a new maritime digital module to focus on these topics.

The paper highlights digital sustainability’s significance in adapting education and training courses. Ship management companies and higher education institutions must urgently meet the demands of digitalisation and AI in the maritime industry. It highlights the necessity of addressing current knowledge gaps and implementing new educational modules to ensure the sustainable development of digital skills among maritime professionals and cadets.

This study aims to optimize blood donation drive efficiency by addressing operational bottlenecks and improving resource deployment, focusing on enhancing donor experience and reducing camp duration.

The research uses a mixed-method approach, combining qualitative insights from blood banking officer interviews with quantitative data from 58 camp observations. “Simio” simulation software models various operational configurations, while mathematical techniques like queuing theory analyze key performance metrics. The process involves creating a baseline model, proposing optimizations and validating recommendations through real-world implementation.

The study achieved significant improvements: Reduced average donor time from 1.79 to 0.79 hours (56.4% improvement); Shortened camp operation time from 7.98 to 4.85 hours (39.2% improvement); Decreased waiting times at the medical check station from 45.23 to 0.60 minutes; Improved service rates across all stations, notably at registration (233.79% increase); and Streamlined processes through digitization and health check consolidation.

The study provides actionable recommendations for blood bank managers, including digital pre-registration and optimized staff allocation, leading to substantial time and resource savings while enhancing donor experience.

By improving donation camp efficiency and experience, this research could increase donor retention rates and lead to a more stable blood supply, crucial for medical care.

This research presents a novel approach by combining discrete event simulation with real-world implementation and validation, offering an innovative solution to common bottlenecks in blood donation drives.

The circular economy concept in the healthcare supply chain can demote using single-use devices by reprocessing, reusing or recycling. India is the most populous country in the world and has numerous challenges to implementing a circular economy in the healthcare supply chain. The objective of this study is to identify and analyse the roadblocks to circular healthcare supply chains in the Indian context.

The contribution of the manuscript is to the healthcare supply chain in adopting a circular economy and prioritizing the roadblocks using Fuzzy FUCOM and Fuzzy Bonferroni Mean Operator. A sensitivity analysis is performed to check the robustness of the results obtained.

The finding of this study suggests that regulatory roadblock is a more important roadblock in adopting the circular economy in the healthcare supply chain. It is expected that the government should formulate precise and consistent guidelines for the implementation of a circular economy in the healthcare supply chain. In addition, for faster implementation, tax rebate policy should be framed for the industries that are taking the initiative to implement a circular economy in their system.

This study explores and prioritizes twenty secondary roadblocks categorized into five primary roadblocks that will enhance the motivation of healthcare industries to become green and circular and contribute to the sustainability in healthcare sector. The government agencies should also take initiatives to create awareness about the circular economy among all the stakeholders.

This research is beneficial for policymakers, researchers, and industrial practitioners and is recommended based on current findings to facilitate the implementation of a circular economy in the healthcare sector.

This chapter focuses on unearthing the metaverse technology impacts on banking services, both the underlying opportunities it brings and the challenges it imposes, along with its long-term effects on the industry. The tremendous strides made in the field of technology have impacted every industry, and banking is no different. Metaverse technology further catapults banking services into an unknown realm of possibilities and challenges since the advent of modern technology. Metaverse technology is an upcoming virtual interconnected universe where users can connect with each other and digital entities at the same time in real time. Banking will open up a lot of avenues to redefine customer experience, build new financial products and make the customers sticky. Deploying metaverse technology in a banking system comes with a whole host of challenges, including technical complexity, security, privacy and compliance. More insights on the dos and don'ts of this as well as what to measure in terms of success would be found by looking at cases from those banks that have successfully rolled out metaverse technology. So, for banks to come out of their shells and sustain themselves in a competitive world of financial services, understanding metaverse technology in banking is essential. This chapter attempts to uncover the subtlety of metaverse technology on banking services, their promise and perils and the consequences that may stick with this industry forever.

The different dimensions of the online engagement behaviors exhibited by omnichannel shoppers, who mainly rely on the online channel for information search, are still understudied. This study aims to investigate how service journey quality (SJQ) has an impact on the overall omnichannel customer experience leading to customer identification (CI) with the store, subsequently leading to their exhibition of online engagement behaviors (writing online reviews, blogging, rating products and service online and indulging in customer-to-customer online interactions.

The research is cross-sectional, quantitative and descriptive. Purposive sampling was used to choose the research's participants. Data were collected from 591 Indian omnichannel customers who had previously made an omnichannel purchase that included the concurrent usage of various channels of a retailer using a verified self-administered survey. Using the Smart PLS 4.0 software, the proposed conceptual model has been evaluated.

The results indicate that omnichannel customer experience mediates the relationship between SJQ and CI with the store, subsequently leading to their exhibition of online engagement behaviors (writing online reviews, blogging, rating products and service online and indulging in customer-to-customer online interactions). The perceived customer gratitude toward the store significantly and positively moderated the direct relationship between SJQ and different online engagement behaviors (writing online reviews, blogging, rating products and service online and indulging in customer-to-customer online interactions).

The study relied upon the omnichannel shoppers of only Indian population and relied on a cross-sectional data collection procedure for this research.

Post-pandemic, with highly dynamic shifts in customer preferences, the need for channel-agnostic shopping leading to the unpredictability of purchase patterns has made SJQ the only dimension to achieve sustainable loyalty intentions through value co-creation in an omnichannel retail context. Emphasizing post-purchase behaviors like different online engagement behaviors (writing online reviews, blogging, rating products and services online and indulging in customer-to-customer online interactions), this study is the first to show that SJQ might affect four different online customer engagement behaviors through omnichannel shopping experience and CI with the store. The moderating effect of customer-perceived gratitude toward the retailer on a few proposed hypotheses was also tested to give managerial recommendations. The study also answers the call to investigate the moderating role of customer gratitude in determining service quality-driven engagement behaviors.

In this chapter, we emphasise how Creative Artificial Intelligence (AI) can and will transform the practice of financial operations (FinOps). To do this, we first place AI in the context of FinOps and how operations need to change, explicitly using Creative AI to be faster, more accurate and more creative when assessing client needs. This is achieved by explaining how traditional approaches fall well short of the mark by highlighting their fundamental limitations and showcasing how AI helps to address those shortcomings. We also provide a detailed discussion of how AI is transforming finance operations when we focus on four discursive areas: (1) risk, (2) fraud detection, (3) predictive analytics and (4) trading algorithms. In all four areas, Creative AI supports many decisions that benefit the clients, improves customer service and guides financial institutions to allocate their resources more effectively. We elaborate throughout this text how AI, in particular by using methods such as natural language processing, generative adversarial networks (GANs) and other related techniques, can be understood as what we have termed ‘Explainable AI’ to address operational issues in the modern financial world creatively. As AI offers great disarming power, we also discuss the threats, limitations and specific pitfalls of AI adoption and use in financial contexts. This includes addressing clearly ethical and regulatory concerns, in addition to the technical ones.

The online brand advocacy behaviors of omnichannel shoppers, who mainly rely on integrated brick-and-mortar stores (recognized as a vital channel for delivering a seamless shopping experience and meeting the dynamic needs of the shoppers), are still understudied. This study aims to investigate how integrated store service quality (ISSQ) may elicit both positive and negative emotions that contribute to a memorable omnichannel shopping experience and have an impact on shoppers' attachment to the store, leading to their exhibition of online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study is a cross-sectional, descriptive and quantitative investigation. The research participants were chosen using a purposive sampling technique. Using a validated self-administered questionnaire, data were gathered from 886 Indian omnichannel shoppers who often purchase at the integrated brick-and-mortar store. The proposed conceptual model was tested using Smart PLS software for partial least squares-structural equation modeling.

The results indicate that positive and negative emotions mediate the relationship between ISSQ and memorable omnichannel shopping experiences, subsequently impacting omnichannel shoppers' attachment to the store and leading to online brand advocacy behaviors. The relationship strength perceived by shoppers significantly positively moderated the relationship between store attachment and different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study relied upon single cross-sectional data from the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the different emotions that arise while evaluating service quality in omnichannel retail purchase journeys leading to memorable shopping experiences. Emphasizing post-purchase behaviors like different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression), this study is the first to show that ISSQ might affect four different OBAs through memorable omnichannel shopping experience and the shopper's sense of attachment to the store. The moderating effect of relationship strength perceived by shoppers with the retailer on a few proposed hypotheses was also tested to give managerial recommendations.

This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN).

A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME.

Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME.

The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively.

The rise of the metaverse and technology's disruptive visualisation spell a changing landscape for digital banking. As consumers increasingly conduct financial transactions in virtual worlds and immersive digital environments, it is imperative that advanced analysis tools are developed to measure and improve the virtual banking experience with this emerging metaverse. This chapter enriches the new notion of Metalytics and how it can be successfully employed as an approach to quantify and measure customer satisfaction and quality in digital banking services with today's changing scenarios. Now, it is a complex digital world of social engagement, entertainment and commerce. Traditional banking services, in that sense, have even started seeping into the metaverse and offering users a taste of virtual financial institutions (the meta bank), digital currencies as well as other financial products. The use of advanced analytics, tools and metrics designed for the unique features of a multiverse. This chapter goes on to discuss, through some of its key components and methodologies, how this could usher an epochal change in interstellar nodes for evaluating digital banking services. Financial institutions that embrace the peculiarities of the metaverse and leverage data-driven insights can offer comprehensive digital banking solutions. This is necessary for the digital frontier, and Metalytics propulsion fits this part perfectly, managing to keep their services up to date, safe, secure and, most importantly, customer-centred while navigating through the metaverse landscape.