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This study investigates work and non-work antecedents for the work–life balance (WLB) development of remote employees during the COVID-19 pandemic. Longitudinal data (N = 1,146, T1; N = 737, T2) was collected in May–June 2020 and December 2020 in one multinational company (MNC) in Finland. In data analysis, structural equation modeling (SEM) with a cross-lagged panel model was utilized. The results revealed that during the pandemic, WLB slightly decreased. The quantitative job demands increased and predicted a decreased WLB at T2. Job autonomy decreased but did not have an effect on WLB development or buffer the negative effect of quantitative job demands on WLB. Time saved from commuting was positively related to WLB development, but the number of children living at home and the age of the youngest child had no statistically significant link to WLB development over time (similar finding for men and women). Although care responsibilities from the gender perspective is not the focus of our study, the additional analysis show that WLB at T1 was more challenging for women the more children they had, or the younger the youngest child was. For men, children did not make a difference for their WLB at T1. This finding indicates that WLB has been more challenging for mothers compared to fathers already when our first data had been collected, and the continuance of the pandemic did not change the situation in any direction. This research contributes to the knowledge about work and non-work related demands and resources as antecedents for WLB development during the pandemic. As a practical implication during the pandemic, the authors suggest that employers should follow development for employees’ WLB as a measure of well-being in remote work. In addition, the workload of remote employees should be followed, and time saved from commuting should be preserved as employees’ non-work time and protected from work-related tasks.

There has been a dramatic increase in the adoption of service robots in hotels, potentially replacing the human workforce. Drawing on Social Amplification of Risk Framework, this study aims to examine the moderating effect of transformational leadership on the indirect relationships between Gen Z employees’ tech-savviness and social skills on industry turnover intention via service robot risk awareness (SRRA).

This study collected two-wave time-lagged multilevel data of 281 frontline Gen Z hotel employees from 54 departments in China. Participants were asked to rate their tech-savviness, social skills and SRRA in the first survey. They rated their supervisor’s transformational leadership and industry turnover intention one week later.

Multilevel path analysis results showed SRRA mediates the negative indirect relationship of Gen Z employee’s tech-savviness and social skills on industry turnover intention. Transformational leadership weakened the positive effect of SRRA on industry turnover intention.

This study contributes to the growing literature on service robots by investigating the antecedents and outcomes of employees’ SRRA. To the best of the authors’ knowledge, it is one of the first empirical studies investigating the role of leadership to mitigate the negative consequences of employee’s SRRA. Managers can use the results of this study to implement training programs and ensure that employees and service robots successfully coexist in the workplace.

On 24th January this year the new and long‐promised legislation for public libraries in England and Wales made its bow in the shape of the Public Libraries and Museums Bill. Its first reading took place in the House of Commons on that day, and the unopposed second reading was on 5th February. As we write, future timing is uncertain, and it may be that by the time our readers are perusing these pages that the Bill will hare been passed in all its stages. The 23 clauses of the Bill occupy only 12½ pages. Briefly, the Bill will place the development of the public library service under the superintendence of the Minister of Education, and will set up two advisory councils as well as regional councils for interlibrary co‐operation. Non‐county boroughs and urban districts of less than 40,000 population which are existing library authorities will have to apply to the Minister for approval to continue as such. Clause 7 states that every library authority has a duty to provide a comprehensive and efficient library service, while the succeeding clause provides that, apart from certain exceptions, no charges shall be made by public library authorities. The Bill places considerable powers upon the Minister. Like most Bills, there is much in it which is open to interpretation. Does, for instance, clause 8, subsection (1) mean that those library authorities which are at present charging for the issue of gramophone records will have to cease doing so? This would seem to be the case, and we hope it is the case. On the other hand, which precise facilities are meant in subsection (4) of the same clause? Librarians will be disappointed that there is no reference to the need for library authorities to appoint separate library committees, nor is there a duty placed upon them to appoint suitably qualified persons as chief librarians. The Minister is given the power of inspection, and few library authorities or librarians will fear this. On the other hand no state financial assistance to library authorities is mentioned. In the 1930s and 19405 many wanted state aid but feared the consequential inspection. Now we have got the inspection without the money! When the Bill appeared, The Library World asked several librarians for their brief first impressions and in the following symposium will be found the views of a city librarian, a county librarian, two London librarians, a Welsh librarian, the librarian of a smaller town, and a member of the younger generation whose professional future may well be shaped by this new legislation.

Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.

The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.

The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.

The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.

Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.