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The purpose of this paper is to explore how robots are being used in libraries and information centers to transform their services and what are the future possibilities and trends in the application of robots in libraries.

Through a review of the literature, this paper analyzes various library websites and consults literature relating to the use of telepresence robots in libraries; the current application of robots in libraries has been enumerated along with case studies of libraries currently adopting telepresence robots.

With the practical examples of libraries using different types of robots, this study summarizes diverse activities of artificial intelligence-mediated robots. The uses of telepresence technology in libraries help to enhance library services, reach new users and provide a more inclusive and accessible library experience. Telepresence robots enhance the quality and accessibility of library services, expand library outreach and provide new opportunities for virtual engagement and programming. The application of telepresence robots in libraries can offer many benefits, but there are also several challenges that libraries must address to ensure successful implementation.

This study will motivate libraries and library professionals to take advantage of adopting telepresence robots in library and information center services and further accelerate library operations in the right direction.

This paper highlights how the introduction of telepresence robots in libraries improves services and productivity and creates a more engaging environment for the user group. The benefits and challenges of using robots in the library and the future trend in the application of telepresence robots in libraries are also discussed.

Artificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research has been undertaken on this subject, but that only address a few applications. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.

This study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence”, “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like artificial intelligence, smart technologies, Internet of Things, electronic resource management, data mining and ambient intelligence. This study highlights the pros and cons of AI in library services and its possible solutions.

The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.

This paper may be of interest to academic, librarians, policymakers, researchers and the government to have a perspective on initiatives in the country on application of technology in library services. This study can introduce the current status and potential of this technology to bring the technology revolution in library and information center services.

This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.

This study covers the understanding of AI in library services that will help the librarian’s and information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI.

As information providers, libraries select, acquire, process, store, preserve and distribute information resources to customers. Innovative technologies like the blockchain have posed major challenges to education and library services. The main goal of the application of blockchain technology (BT) in libraries and information centers is to give all possible users in participating library systems unrestricted access to digital content and print collections while minimizing risk to protect each user’s privacy and identification. A fresh and dependable technology called blockchain aids in the security, reliability and preservation of information. The 21st century’s change agents’ libraries are implementing new technologies to deliver the most knowledge possible in the shortest amount of time. It cannot be overstated how this technology has the potential to transform library services, operations and functions.

An extensive review of literature on “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like smart libraries, smart technologies, Internet of Things, electronic resource management, data mining, artificial intelligence, ambient intelligence, BT and augmented reality. Later on, the works citing the literature on smart libraries were also explored to visualize a broad spectrum of emerging concepts about this growing trend in libraries.

Blockchain is one of the rapidly expanding and evolving technology. Librarians and library need to understand the opportunities, benefits and risks of blockchain. Perhaps in libraries, BT will become a useful tool for storing, storing and sharing information. This technology also aids in the acquisition of library materials that can improve collection maintenance. Blockchain can protect user and patron records and enhance the privacy of user and research data. This technology also improves collaboration among library patrons and staff. BT is increasingly being adopted by libraries in various ways. It creates an improved metadata system to protect digital-first selling rights, peer-to-peer sharing and more. Apart from what have been already discussed, this technology is perfect for academia and perfect for achieving potential pace in libraries. It can be used to safeguard library user records, retrieve libraries document and improve collection management. A special bulk request enables identification and discovery of unique holdings. Scientific writing is another good use case for blockchain, where researchers can record and time-stamp ideas and spread information. BT presents a significant opportunity for libraries to enhance user privacy, enhance collaboration and transform the manner in which libraries and communities collaborate. The University of San Jose in Toronto, the Reference Library, the Suffolk Collaborative Library System and many other libraries are exploring this technology, and various other libraries are set to follow suit.

The paper tries to highlight the usage of blockchain technologies in the libraries and information center setups for the efficient working of library setups. Blockchain is one of the emerging technologies that have the potential to bring the technology revolution.

In this work-in-progress, the application of blockchain technology (BT) in higher education in India – involving academic institutions, students and verifiers – in the wake of fake degrees (racket) being issued at a large scale from universities across the country is being investigated. This paper considers providing new methods of database system in education, and implementing the new BT in education can increase transparency and security in the education system.

This study used interview methodology (asking interview participants a series of informal questions to obtain knowledge).

Private and public sector organizations have many challenges to overcome in synchronizing and aligning their digital transformation efforts to enable the network effects to take hold. India’s policymakers, civil society leaders, senior business leaders and entrepreneurs are building strong clusters to help the country be the leader of the next era of the internet as a platform that helps transform human affairs for the benefit of the citizens. Executives can contribute to the digital ecosystem by creating open and collaborative cultures where knowledge and innovation are shared with the industry for the benefit of the masses and, more so, to establish quality and communication standards. They also can contribute by staying open to change, embracing digital adoption and transformation within their management models and infrastructure. It is time for institutions to rethink their processes and governance structures to become more agile and innovative players. The success of a harmonious digital identity ecosystem relies on staying ahead of the organization’s digital curve. As a first step to provide better quality in the provision of public services, Secure Key Technologies’ blockchain-based ecosystem (securekey.com) allows multiple partners to strengthen the authentication and provides identity attribute validation as a fabric of trust and as a solid foundation to embrace a new digital era. Secure Key Technologies’ vision for the future of digital identities redefines the ways both consumers and businesses approach identity verification and the sharing of key personal information. The challenges identified in the education system be it the difficulty in authenticating certifications and documents, tracking intellectual property and in accessibility can be better managed through blockchain implementation.

Digital certificates produced using blockchains are the most secure and efficient method being adopted by many countries across the globe (Grech and Camilleri, 2017). Tamper-proof blockchain records consist of three components or layers: the first contains the signed hash of the content, the second contains all the data and images and the third is the presentation and styling of the data. The verification process is relatively simple; the hash of the recipient is compared to the hash stored on the blockchain if they match the document is verified.

The purpose of this paper is to investigate capacity coordination in services supply chain (SSC). It provides discussion and application of various contracts in a two-stage single period SSC.

This paper considers a two-stage serial supply chain with demand uncertainty and price insensitivity. A model is developed to represent a global IT SSC incorporating services specific factors like over-capacity cost and higher degree of substitution resulting in flexibility to meet unplanned demand. At first, centralized and competitive solutions of the model are studied. Then, the paper studies coordination in this supply chain using some of widely used contract templates.

This paper finds several key insights for the researchers and practitioners in this area around adverse impact of over-capacity cost on demand, positive effect of delivery team’s exposure to market on contracting terms and better understanding of efficient frontiers for selected contracting mechanism.

This paper has limited its analysis to three key and most widely used contracts and made assumptions about risk-neutrality of the firms. Future research can study other contracting templates and/or relax for the model as laid out in this paper.

An automated software agent can be built leveraging the closed form equations developed here to help decide on optimal capacity investment and devise coordinating contracts.

This paper established that because of higher degree of substitution, perishability and non-trivial over-capacity cost, SSC behave bit differently than the physical goods supply chain and coordination of participating firms needs to be studied in a services specific context for improving system-wide performance.

This paper aims to examine a research model that links knowledge sharing enablers, processes and outcome dimensions in law enforcement in the United Arab Emirates (UAE). It attempts to examine the impact of knowledge self-efficacy and top management support on knowledge donating and collecting. It also attempts to examine the effect of these two aspects of knowledge sharing on firm innovation capability.

This study used a quantitative approach, with data collected by questionnaire from 685 police officers in a law enforcement agency in the UAE.

Knowledge self-efficacy and top management support have a positive impact on knowledge donating and collecting. Only knowledge collecting, however, had a positive effect on firm innovation capability.

The study has significant academic and practical implications. It supports a previous research model that links enablers, processes and outcomes of knowledge sharing, and confirms them in the context of law enforcement in the UAE. It could also help law enforcement agencies to promote a knowledge sharing culture to support innovation in the UAE.

The research model is likely to be particularly valuable in knowledge-intensive organizations such as the law enforcement sector. Knowledge sharing is often overlooked by organizations in the UAE because there has to date been little research in this field.

Document retrieval has become a hot research topic over the past few years, and has been paid more attention in browsing and synthesizing information from different documents. The purpose of this paper is to develop an effective document retrieval method, which focuses on reducing the time needed for the navigator to evoke the whole document based on contents, themes and concepts of documents.

This paper introduces an incremental learning approach for text categorization using Monarch Butterfly optimization–FireFly optimization based Neural Network (MB–FF based NN). Initially, the feature extraction is carried out on the pre-processed data using Term Frequency–Inverse Document Frequency (TF–IDF) and holoentropy to find the keywords of the document. Then, cluster-based indexing is performed using MB–FF algorithm, and finally, by matching process with the modified Bhattacharya distance measure, the document retrieval is done. In MB–FF based NN, the weights in the NN are chosen using MB–FF algorithm.

The effectiveness of the proposed MB–FF based NN is proven with an improved precision value of 0.8769, recall value of 0.7957, F-measure of 0.8143 and accuracy of 0.7815, respectively.

The experimental results show that the proposed MB–FF based NN is useful to companies, which have a large workforce across the country.