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Several pick‐up devices have been proposed and invented for automated garment handling but a scientific understanding of picking up operation is incomplete. This paper is an extension of earlier studies into modelling the interaction of the performance of pinch gripper and the properties of flexible material (foam). Here, the relationship between the performance of pinch gripper (size and shape), external load, deformation and the properties fabric is investigated. The distributions of stress and strain within a fabric under differently shaped grippers (flat and curved) are revealed. The main factors affecting the first step of picking up action‐two pegs pushing down on the top of fabric are identified. Experiments have been carried out on single‐ and multi‐layer fabrics, and the accuracy of the models is demonstrated through comparison of the predicted results with the experimental data. This study is aimed towards optimisation of design of a gripper and providing knowledge for an intelligent grasping system of fabric handling.

The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited, resulting in businesses being less responsive. The digital retail landscape is undergoing a transformative revolution, driven by Industrial Revolution (IR) 4.0 technological advancements such as artificial intelligence (AI), wearables, virtual reality (VR), augmented reality (AR), and blockchain technology. This development focuses on convenience, personalisation, and emotional connections. Companies are adapting to modern consumer behaviour through various strategies, including online shopping, mobile commerce, data analytics, technology integration, user reviews, and contactless payments. The COVID-19 pandemic has accelerated this seismic shift in the retail industry, and online retail is expected to continue to grow post-pandemic, driven by these technologies. AI enhances the customer experience, wearables provide interactive engagement, VR offers immersive shopping, AR merges online and physical shopping, and blockchain ensures secure transactions in the emerging metaverse. As retail converges with the metaverse, the potential for borderless and personalised shopping experiences is enormous. Advances in VR technology could lead to interconnected virtual spaces that seamlessly connect physical and digital retail, providing immersive and personalised shopping experiences. However, challenges such as cost, learning curves, digital security, legal ambiguity, data privacy, financial risk, and ethical considerations need to be addressed through vigilant and informed consumer engagement in this evolving digital landscape.

The retail industry is undergoing a significant digital revolution. Emerging technologies are changing the way shoppers interact with companies and shops, causing a significant upheaval in the business. The primary purpose of the research is to recognise the concept of retail along with its service applications and novel technologies that will drive the future around the world. Retailers must keep up with the latest technological advancements to remain competitive as the supply chain grows more intricate and consumers become more astute, tech-savvy, and gadget-literate about using multiple channels. The analysis indicates technologies including artificial intelligence (AI), smart labelling, beacons, augmented reality (AR), virtual reality (VR), drone deliveries, and Internet of Things (IoT) have emerged as future trends. It has been found that retailers need to have strong digital relationships to engage and interact with consumers as well as to mould and influence experiences. They can create connections to assist customers in making decisions that are beneficial to them. India’s retail industry is well-positioned to prosper in the dynamic market environment by adopting innovation and transformation and also centred on omnichannel tactics, which offer customers a seamless experience by giving them a comprehensive, single glance at each retail business from the comfort of their home or place of business. The application of literary works to explain the notion of Industry 4.0 in the retail sector while recognising and comprehending pertinent technological developments. This chapter establishes the groundwork for upcoming research on technologies that will eventually be utilised in retail management.

This paper takes as its starting point observations and concerns of quality assurance staff in UK HEIs about the use of computer‐assisted assessment (CAA) collected in the 1999 National Survey into CAA. The issues raised are grouped into three categories: pedagogical; operational; and institutional; and the quality assurance issues for each area are addressed. Emphasis is placed on the institutional management of CAA, the development of quality assurance regulations and protocols and the evaluation of CAA systems. The paper makes suggestions about the co‐ordination of CAA within an institution and speculates on the future developments in computerised assessments and the increased importance of ensuring quality.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

Most citation analyses are based on references taken from two or three source journals. There are good theoretical reasons for believing that these may not be representative of all references. In the social science citation analyses carried out as part of the DISISS programme, references were collected from 140 journals, including forty‐seven drawn at random from a comprehensive list, and also from 148 monographs. Analyses of references drawn from high ranking and randomly selected journals showed differences in date distribution, forms of material cited and rank order of journals cited. Analyses of references drawn from journals and monographs showed differences, some of them large, in date distributions, forms of material cited, subject self‐citation and citations beyond the social sciences, and countries of publication cited. These differences may be peculiar to the social sciences, but any citation analyses that are based on only a limited number and type of sources without specific justification must be regarded with suspicion.

Purpose: The assessment of the linkage between quality and several SDGs is crucial due to the significant impact quality has on multiple dimensions. This study employs a comprehensive methodology to elucidate the various dimensions of quality. Additionally, it examines the relationship between quality and multiple SDGs, a topic that has not been previously investigated.

Design/Methodology/Approach: The question arises here that how maintaining quality leads to sustainability; well this question is answered in this study through a content analysis of previous studies and showing the importance of theme quality in various aspects of sustainability like TBL, sustainable development goals (SDGs), etc.

Findings: Quality has proven to be an admirable approach towards sustainability. The risen need for sustainability has brought many perspectives of the world. It can be environmental, social and economic and further these aspects have their own areas for improvement. The complexity of the structure of sustainability requires a basic common area to be focused on, and in this study, quality has proven to be one.

Implications: Through the SDGs it can be derived that each goal had an area where quality needed to be worked on. The several zones of quality are interlinked. Quality of life will automatically improve the education, health water and sanitation services. Therefore, the focus should be laid on attaining sustainability through quality. Quality is achieving excellence in something or a substance that satisfies the requirements needed from it or the resources are utilised effectively and efficiently.

Originality/Value: This study uses a holistic approach in which dimensions of quality have been explained and further the linkage of quality with different SDGs was assessed which has not yet been explored earlier.

This chapter provides an overview of the role of technology and policy in shaping care plans for patients. Historically, healthcare has lagged behind other industry sectors in adopting and deploying useful technologies, and policy surrounding use is an important component of establishing a long-term strategy. This chapter evaluates the current state of technology in the clinical setting and extends the widely adopted policy-based approaches into the palliative care context.