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This multiple case study investigates the impact of technology on organizational change in public libraries. Over the past 12–15 years, public access computers (PACs) have been introduced into public libraries. Once these PACs were connected to the Internet, they attracted patrons who had not previously used public library services. The main themes around which this study was organized relate to the implementation of technology with facilities and services, city government, and people. The main research questions were following: (1) How has public library culture changed since the introduction of computers for patron use? (2) What adjustments were necessary to deal with the influx of computers and other technology in public libraries? (3) Have PACs changed the way the libraries are organized and how they are staffed? The findings of the study included how technology influenced changes in staffing in the public libraries. Each of the libraries has undergone a culture shift due to the introduction of technology. One of the shifts is the change of the reference desk from general reference to the addition of a help desk with reference responsibilities. Another concern of the directors was constantly funding the upgrades necessary for software and hardware that technology requires. As not all of the directors have supportive city government, this can be problematic. Finally, the facilities where the public libraries were housed had undergone changes either through renovations or through new buildings to accommodate technology and the infrastructure needed to support it.

This study sought to gain an understanding of employee perspectives during technology implementations in a Caribbean bureaucratic organization. Twenty-three case study participants expressed their perceptions of their environment. There were 18 participants involved in answering the semi-structured open-ended interview questions, and five participants contributed responses, and emotional states, which control how employees view their work identity. Insights into how employees react during technology implementation might improve future success outcomes when used to determine management actions undertaken during these projects. This could have a positive effect on the adoption rate of newly implemented technology. The data supported the assertion that employees’ emotions are rooted in their environment as well as how they perceived themselves at work. This study evaluated the effect of the technology change on the employees both emotionally and how the change impacted their jobs; framing the findings by combining theories that currently stand alone. The study results described the connectedness between models that explain how and why employees accept technology changes within their environment.

Introduction: Technology and the environment remain uncertain for organisations that impose enormous challenges and opportunities to redesign policies and practices for human resources (HR). The use of technology is ubiquitous and pervasive. Technology has altered the way individuals and organisations seek knowledge, process information, instrument, and practice the learning outcomes.

Purpose: This conceptual paper highlights the change in technological and change nature of work impact on HR practices. Technology has changed the nature of work, which affects individuals and organisations. The dynamic change in technology forces organisations to rethink policies and procedures that fuel the organisation’s competence. The difference in HR practices (recruitment and selection, training and development, performance management, and turnover) is not a trend but rather a need for organisational survival. There is not only a transformation in technological implementation in an organisation but also in employee–organisation relations. The organisations install technology and replace employees.

On the contrary, employees leave an organisation and switch towards self-employed jobs entitled Gig-economy (World Bank, 2018). The individuals are moving towards a more flexible and self-employed relationship. Unfortunately, though, working flexibly create concern for an employee–employer relationship such as pension plan, health insurance, and paid leaves. It also creates income inequality.

Methodology: This is a conceptual paper.

Findings: Technology has a dual effect on the organisation and employees. Thus, technology affects employees, employers, and organisations. The change in technology moderates the psychological contract and career selection, leading to change in the policies and practices of the HR department. A research model is proposed in this conceptual research study which will further be tested to examine and confirm the impact of change.

To provide an in-depth survey and review of innovation in library and information services (LIS) and to identify future trends in innovative research and its practical application in the field.

An in-depth review and summation of relevant literature over the last twenty years, along with an analysis and summary of the other papers in the volume.

Innovation in library and information work varies between the evolutionary and the discontinuous. A taxonomy of innovatory approaches to development and provision in the sector is provided, along with a detailed listing of the key elements of successful and not-so-successful innovative practice.

The work is dependent on existing literature rather than direct empirical work. However, because it draws together all major aspects of the topic, it has the potential to be used as a springboard for further generic studies and also specific programmes of work.

The need for innovation in LIS will be ever more pressing. The present chapter provides a necessary and rigorous overview of the necessary elements required for success in this area. It will be useful as a reference tool for intending researchers in library and information provision in a wide range of environments.

Because the chapter brings together a substantial body of information on the topic of innovation, it provides a comprehensive study of major developments and likely future trends in the field.

Introduction: Many organisations nowadays use artificial intelligence (AI) in human resource (HR) activities like talent acquisition, onboarding of new employees, learning and development, succession planning, retention of employees, and automation of administrative tasks. When AI is integrated with HR practices, it helps HR personnel to focus more on the strategic aspects of the HR function and relieve them from routine HR activities.

Purpose: The readiness of employees to accept any change depends on organisational facilitation to change, employee willingness to accept the change, the requirement for change, situational factors, etc. This research studies the factors influencing employees’ change readiness towards acceptance of AI in HR practices. The researchers also strive to develop a conceptual technology adoption model for AI in HR practices by studying the earlier models. Finally, the research explores the acceptance of AI by various service sector employees and identifies whether there is any difference in their acceptance of AI based on demographic variables.

Methodology: A conceptual framework was derived using a combination of previous models, including the Technology Readiness Index (TRI), Change Readiness Scale, Technology Acceptance Model (TAM), Technology, Organization, and Environment (TOE) model, and change readiness scale. A structured questionnaire was designed and distributed to 228 respondents from the service sector based on the conceptual framework. An exploratory factor analysis (EFA) was used to determine the elements that influence employees’ level of change readiness.

Findings: The exploratory results on data collected from 228 respondents show that the model can be used for further research if a confirmatory factor analysis and validity and reliability test are performed. Employees are aware of AI and how it is used in HR practices, based on the study results. Moreover, while most respondents favour using AI in their company’s HR practices, they are wary of some aspects of AI.