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This paper presents hyper‐lib, a model for an electronic library. The hyper‐lib philosophy is based on reproducing the spatial environment of a physical library, in order to exploit users' knowledge of the physical domain in using the electronic system. In the library environment, rooms, shelves, books and services are reproduced by simulating a three‐dimensional environment, where the user can interact with a collection of documents as if he or she were in a physical library. In addition to the physical library features, the hyper‐lib introduces a number of new properties, which result from its non‐physical nature and allow some of the limitations of traditional libraries, such as availability of books and delivery time, to be overcome. The hyper‐lib books are available in electronic form, following the hyper‐book model, which is based on the book metaphor. A formal definition of the hyper‐lib model as a dynamic system is given. The hyper‐lib model is defined in terms of structural and functional components. Moreover, the functional behaviour, i.e. how the system evolves under the effects of the functional components, is presented. The library structural components include the book collection, the librarian, the access mechanisms etc. The functional aspect is indispensable for describing the use of a dynamic and interactive system. In particular, a number of operators, which represent user services, allow the user to change the system state. We distinguish among general services, which are offered in any room of the library, and specific services, which are specific to a particular object or room in the library, such as the librarian, the catalogues, the hyper‐books, the book shelves etc.

This paper seeks to answer three questions about how retailers can benefit from AI. (1) What are the main strategies for retailers to improve their AI-related data management? (2) How do retailers use AI to provide solutions in business processes? (3) What are the value creation logics of AI applications in retail?

Data- and solution-centric perspectives, as well as the concept of value creation logics, serve to build the analytical framework. The grounded theory multiple-case analysis of 54 representative retailers' adoptions and implementations of AI between 2008 and 2018 help to investigate the firm's AI applications and value creation logics.

This study identifies five main strategies for AI-related data management and reveals 28 AI-powered solutions, changing 14 business processes, with five management areas involved in AI applications to create value via four logics: automation, hyper-personalization, complementarity and innovation.

This paper advances the research into AI applications in business and management by providing research propositions with an integrative framework to understand how firms can use and benefit from AI. However, secondary data and exploratory study still limit the findings.

The findings provide retail managers with an analytical framework that can help them to develop a rationale for their strategic choices and best practices relating to the adoption and implementation of AI.

The originality of this paper lies in its systematic examination of AI applications and value creations in retail. The findings provide managers with guidance, rational strategic choices and best practices to take action to embrace the great business opportunities created by AI technologies.

The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on personalised shoppers, the perception remains the same across industries. Retail atmospherics stimuli such as design, smell and others create behavioural modifications. The purpose of this study is to explore the atmospheric effects on brick-and-mortar store performance and personalised shopper's behaviour using cognitive computing based in-store analytics in the context of emerging market.

The data are collected from 35 shoppers of a brick-and-mortar retailer through questionnaire survey and analysed using quantitative method.

The result of the analysis reveals month-on-month growth in footfall count (46%), conversation rate (21%), units per transaction (27%), average order value (23%), dwell time (11%), purchase intention (29%), emotional experience (40%) and a month-on-month decline in remorse (20%). The retailers need to focus on three control gates of shopper behaviour: entry, browsing and exit. Attention should be paid to the cognitive computing solution to judge the influence of retail atmospherics on store performance and behaviour of personalised shoppers. Retail atmospherics create the right experience for individual shoppers and forceful use of it has an adverse impact.

The paper focuses on strategic decisions of retailers, the tactical value of personalised shoppers and empirically identifies the retail atmospherics effect on brick-and-mortar store performance and personalised shopper behaviour.

The fifth industrial revolution, known as Industry 5.0, envisions an industry that is innovative, resilient, socio-centric, and competitive while minimizing negative environmental and social impacts, respecting people, the planet, and prosperity. Industry 5.0 is replacing earlier advancements and it is successful because it reaches the pinnacle of perfection. Additionally, machine work saves human workers time and effort. It is built on the concept of fusing digitalization elements from the fourth industrial revolution with Sustainable Development Goals through human-centric solutions, bio-inspired technologies, and secure data transfer. Industry 5.0 mentions about the various opportunities, constraints, and potential directions for future research. Industry 5.0 places less emphasis on technology and focus on human collaboration for progress, it supposed to have a shift in existing paradigm. Industry 5.0 is necessary in contemporary business with the paid technology advancements in order to get competitive advantages as well as economic growth for the manufacturing and it has three drivers: “green transition”, “digital transition”, and “competitive transition”. The goal of green transition is to prevent climate change and environmental degradation. This necessitates changes to current economic growth strategies. The goal of digital transition is to support the circular economy by modernizing digital strategies in terms of digital skills, data, technologies, and infrastructure. Competitive transition aims to convert marketing policies, regulations, standards to increase people's prosperity and business value. It focuses on business and marketing rules that are fair, competitive, innovative, and adaptable.

Purpose: In recent times, ‘artificial intelligence (AI)’ has been pervasive even in organisations or at home. AI is defined as programming computers or other technological devices to act, react, respond, or assist the same way humans do. AI has undeniably made people’s lives easier. In organisations, the impact of AI is even more visible. The main aim of this chapter is to examine the significant role of future work skill’s (FWS) each component in the field of on-growing automation. The focus will be especially on emotional and social intelligence (ESI) (a key component of FWS) while adopting AI.

Need of the Study: In terms of human resource management (HRM), AI is useful for people management, payroll services, staff monitoring and improving the recruiting network, among other things. Even managers put their organisation’s job openings on the web and get applicant resumes electronically. People and employees in the organisation have become more advanced and innovative due to AI. A device obtains employee attendance, and human resource (HR) can track their employees and their organisation’s workforce data. HR has now been awarded more authority to manage and fix their employee’s problems because of AI. In a rapidly changing world, AI is affecting all aspects. AI is yearning to automate all of the jobs.

Methodology: Now a question arises how we can stay relevant in AI economic development? As humans, we learned that every issue is a problem of optimisation because we simply require human skills to develop, create and innovate new things. Therefore, researchers recognised that adopting sustainable growth skills encourages people to continue learning throughout their lives. Moreover, AI has enabled machines the ability to learn over time. Still, they will never be able to develop new ideas like human intelligence. A machine can use only one fixed data algorithm. Now humans have made significant progress in various fields with the help of FWS; without integrated computer sciences, brain science would not make such an outstanding achievement. On the other hand, human minds are masters of their intelligence, such as creativity, complex problem-solving, cognitive thinking, ESI and communication. Breakthrough human mind are masters of algorithms represented people have to understand new trends of technology around us, and the best way to move forward is to be aware, adapt and update skills.

Practical Implications: However, AI is required because, regardless of technological advancements, AI is leading Industry 4.0. The industry’s transformation is in 4.0, and hopefully, 5.0 will jump on board soon. Undoubtedly, AI should streamline the process and eliminate redundancy or administrative tasks.

Finding: AI can be more effective in organisations if they incorporate other FWS, particularly the soft human ESI skills, whereas AI is present everywhere, we can still not neglect FWS, especially ESI. So, this chapter highlights the important role of soft skills, that is, ESI and FWS, while adapting AI for an effective HRM.

This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation modeling. The traditional method of customer passive observance has been transformed to dominance, where, the fundamental challenge for companies is to understand consumer behavior, work on cost-efficiency and implement sustainable innovation.

To investigate this emerging issue, this study aims to find the model fit via applying “Technology Acceptance Model” (TAM) and “Theory of Reasoned Action” (TRA) in context to the hyper-personalization through digital clienteling with special reference to women ethnic fashion wear.

The study findings depict the perceived ease of use (PEOU) and perceived usefulness (PU) of technology, attitude toward clienteling and subjective norm toward customization impact on customer intensions. The findings posited that perceived usefulness is having the strong relationship with purchase intention as compare to other variables. So, the analysis postulated that customer considered hyper-personalization is having perceived usefulness for customer and it also helps customer in getting the information about the product on the Web page.

Because of lack of availability of resources, a specified sampling method has been used for this study. A new research, which will cover the fashion apparel from all the categories with a detailed study from the branded and non-branded point of view, will provide better description on this topic.

By having personalized Web page through big data analytics, customer will have positive experience and positive association with the company. The other parameters also play an important role toward the customer behavioral intention. The current study approaches new way of understanding the participative management of the personalization and tool to guide the work of strategy professionals and management of fashion e-commerce sector internationally and even in the other sectors also.

Because of advancement of technology, the usage of online media is increasing day by day and this change is having high impact on the society, though we can innovate in any field or industry. Hyper-personalization has an impact on the online consumer buying behavior, which will affect the methods of searching information for consumers.

This new area of research is having large scope of future research from the fashion industry point of view. This paper is working as one of the element in the area of hyper-personalization through digital clienteling to gain sustainable results in the fashion industry.

This paper presents a model for an electronic book (hyper‐book). Hyper‐books are electronic books defined on the basis of the paper book metaphor. This metaphor guarantees ease of use and understanding, as the paper counterpart is a well known concept. The hyper‐book maintains many of the features of paper books, in terms of interface design and available tools (orientation, navigation, personalisation) and provides added‐value that exploits the technology underlying it, such as searching, links and history mechanisms. We give a formal definition of the hyper‐book model as a dynamic system. The hyper‐book model is defined in terms of structural and functional components. Further, how the system evolves under the effects of these functional components is presented. The structural components reflect the book subdivision in pages, and the page subdivision in elements such as text, figure etc. The functional aspect is indispensable for describing the use of a dynamic and interactive system. In particular, a number of operators, which represent reader services, allow the user to change the system ‘state’. This simple model is intuitive, general and easy to extend. The hyper‐book model has been implemented in a working system, and evaluated with a group of users. The evaluation has confirmed that the adoption of the book metaphor is very effective, as it guarantees ease of using and understanding the system. The use of the hyper‐book model for organising and presenting electronic documents could have a considerable impact in the context of electronic publishing. A system, based on this model, could have a large applicability and diffusion in several fields such as electronic libraries, thanks to its user‐friendly interface.

The paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.

Following the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.

This research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.

In line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

The aim of this paper is to provide an overview of current developments in the area of electronic books and libraries, and to describe an on‐going research project. Following a discussion of the key terminology used in this field, a number of issues will be investigated: what an electronic library is; how this concept has evolved during the last twenty years; what an electronic book is; and the relationship between an electronic library and an electronic book. As a result of our research we have defined a new concept, the Virtual Electronic Library, and its basic components: the hyper‐book and the visual‐book. These are two forms of electronic books which are built from different sources: paper books and electronic texts respectively. The environments in which such electronic books are produced will also be described.