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By aligning the “Small is beautiful” and “Bleak house” theories, this study aims to examine how robotic working patterns affect employees’ working life and job satisfaction (JS) in Bangladeshi-owned ethnic minority businesses.

The study uses information from 40 face-to-face interviews of employees from 20 Bangladeshi restaurants in Greater London.

The findings suggest that workers are treated as “robots”, consistent with the “Bleak house” view of small businesses in this segment of the restaurant and hospitality industry. Owners expect employees to perform multiple tasks, to assume many responsibilities, to work long shifts, without any holiday allowances. Consistent with the “Small is beautiful model”, the findings underscore the lack of written employment contracts and the emergence of acute staff shortages.

The findings can inform owner-managers’ decisions to refine their HR strategies and improve the work conditions of employees in ethnic minority-owned restaurants. The “Small is beautiful” model highlights five key interventions for improving ethnic minority business work quality: recruit employees with first preferences for restaurant jobs, introduce flexible work arrangements, formalise work, improve market research and tackle acute staff shortages.

The study contributes novel insights into the small- and medium-sized enterprises (SMEs) and job quality literature by offering new qualitative-based findings on the negative impact of robotic work patterns on work quality and JS in ethnic minority SMEs.

This descriptive case study offers an overview of the Free Library of Philadelphia’s (Pennsylvania, USA) response to the COVID-19 pandemic and its challenges. The study details how staff at the Free Library pivoted to create and deliver virtual programs during the pandemic. The timing of that pivot invoked successes and challenges to determine how the Free Library could remain flexible and relevant post-pandemic. The chapter briefly examines how library administrators attempted to address the needs of their racially diverse staff in an equitable and inclusive way in light of increased racial tensions that arose in Philadelphia during the pandemic. The chapter also notes a few of the Free Library’s best efforts to equip front-line librarians to be aspirational, creative, and, at times, grassroots in how they served the public during and beyond the pandemic. Finally, this descriptive case study will share some of the Free Library’s lessons learned and best practices developed during the pandemic.

Project managers bear the responsibility of selecting and developing resource scheduling methods that align with project requirements and organizational circumstances. This study focuses on resource-constrained project scheduling in multi-project environments. The research simplifies the problem by adopting a single-project perspective using gain coefficients.

It employs uncertainty theory and multi-objective programming to construct a model. The optimal solution is identified using Matlab, while LINGO determines satisfactory alternatives. By combining these methods and considering actual construction project situations, a compromise solution closely approximating the optimal one is derived.

The study provides fresh insights into modeling and resolving resource-constrained project scheduling issues, supported by real-world examples that effectively illustrate its practical significance.

The research highlights three main contributions: effective resource utilization, project prioritization and conflict management, and addressing uncertainty. It offers decision support for project managers to balance resource allocation, resolve conflicts, and adapt to changing project demands.

Configuring strategies to ensure a health service provider’s resilience when extreme disruptions occur is not simple. Optimal configuration in such circumstances is rare. Therefore, this research has relied on the dynamic capability view (DCV) to develop a decision-support framework for configuring resilience strategies that will mitigate the worst challenges and improve the performance of health service providers during “extreme” disruptive events.

The research adopted a multi-study, multi-method approach comprising interviews, quality function deployment (QFD), and fuzzy set qualitative comparative analysis (fsQCA).

The findings reveal that, during a crisis, standalone resilience strategies are not enough. To guarantee performance, healthcare services require a combination of resilience strategies and a negation of challenges.

This research extends our current knowledge of healthcare operational management by offering optimal configurations of resilience strategies to manage performance during extreme disruptions. Thus, it offers strategic insights into how health-service managers can be more resilient during a crisis.

Ageing is a global concern that poses many challenges for governments, particularly in relation to the pressing issue of how to provide adequate social protection for the increasing number of elderly. Alongside rapid social and demographic transformation, Indonesia is especially challenged by the increasing number of elderly in need of formal care that is stretching the capacities of government and necessitates improvements in the social protection system. This study examines governance capacity in nursing homes and offers recommendations for improving the social protection system.

The research presents a qualitative case study of government aged care centres in East Java and the experiences of residents and staff of three centres managed by the Provincial Social Service of East Java. The case study is based on ethnographic fieldwork, semi-structured interviews with 32 informants comprising directors, managers, staff and elderly residents of nursing homes.

The research finds that while social protection is in place, governance capacities at the provincial and local level are thinly stretched. The research highlights the tensions between existent governance capacities – in terms of mobility, decision-making, implementation and established local structures of governance and management – and the inability to meet the increasing demands for government elder care services and resources amidst broader societal transformations such as shifts in cultural framing of familial care of elderly. The findings point to the importance of understanding the dynamic relationship between governance capacity and the shifting terrains of elderly care due to societal transformation.

The research brings attention to the pivotal role that governance capacity plays in shaping the experiences and challenges of local government level elder care provision and the growing need for elder care in the face of an ageing population and shifts in kinship and family elder care arrangements. Elder care is not simply about addressing basic needs but also the quality and dignity of elderly and this is not easy to address where social protection systems are stretched beyond capacity. Recommendations are provided for enhancing government policy and expanding the scope for building cross-sectorial partnerships.

This paper states the application of co-design methods in building a national virtual library in a metaverse environment with an interest in digital transformation.

A case study of a national digital library and data obtained through a co-design approach is applied.

The study findings demonstrate the usage of the co-design approach in incorporating the different stances of the library stakeholders and discuss the potential services that can be transferred to a digital infrastructure.

This study contributes by sharing methodological insights on applying co-design methods to build a national virtual library with different library stakeholders. The study also shares empirical findings on the insights and practical recommendations for building a national metaverse library that reflects the needs and aspirations of its stakeholders.

Forecasting outpatient volume during a significant security crisis can provide reasonable decision-making references for hospital managers to prevent sudden outbreaks and dispatch medical resources on time. Based on the background of standard hospital operation and Coronavirus disease (COVID-19) periods, this paper constructs a hybrid grey model to forecast the outpatient volume to provide foresight decision support for hospital decision-makers.

This paper proposes an improved hybrid grey model for two stages. In the non-COVID-19 stage, the Aquila Optimizer (AO) is selected to optimize the modeling parameters. Fourier correction is applied to revise the stochastic disturbance. In the COVID-19 stage, this model adds the COVID-19 impact factor to improve the grey model forecasting results based on the dummy variables. The cycle of the dummy variables modifies the COVID-19 factor.

This paper tests the hybrid grey model on a large Chinese hospital in Jiangsu. The fitting MAPE is 2.48%, and the RMSE is 16463.69 in the training group. The test MAPE is 1.91%, and the RMSE is 9354.93 in the test group. The results of both groups are better than those of the comparative models.

The two-stage hybrid grey model can solve traditional hospitals' seasonal outpatient volume forecasting and provide future policy formulation references for sudden large-scale epidemics.

This research aims to explore whether or how organizations adopt people analytics (PA), its value and potential socio-technical factors that can enable or hinder PA projects by disrupting and reshaping human resource management. We do this by focusing on the Italian context.

We conduct a scoping review of data collected between 2018 and 2022 via Google Alerts (GA), a content change detection and notification service that is gaining popularity in scholarly research.

Our findings suggest that the diffusion of PA applications in Italy, especially those of a descriptive nature, is growing. Most of the existing PA applications are positioned in a positive technocratic light, envisioning the value of PA for both employees and organizations. The value for the latter appears to be direct, while the value for employees is realized through organizational initiatives. The findings also suggest that while enablers can vary between PA application types, the barriers, especially technological and environmental, are generic for both descriptive and predictive/prescriptive PA applications.

Theoretically, we propose a framework for analyzing PA applications, their values, enablers and barriers. Methodologically, we present and describe in detail a novel approach, drawing on GA that can be used to study PA in specific contexts. Practically, our study serves as a helpful point of reference for managers planning or implementing PA in Italy, for benchmarking PA in Italy over time and for comparative international studies.

Addressing workforce shortages in operations and supply chain management (OSCM) necessitates adaptive measures by both individuals and organizations, with a pivotal role played by Human Resources (HR). This impact pathway delves into how healthcare organizations can effectively manage workforce shortages, informed by HR practices. Through an in-depth understanding of healthcare organizations, the authors pinpoint challenges and concerns linked to workforce shortages. Pathways are proposed to stimulate future OSCM research and collaboration, leveraging innovative and creative methods from the HR field.

Data was collected from various representatives from healthcare organizations to explore how healthcare organizations for people with intellectual disabilities address the challenges stemming from contemporary workforce shortages.

Three pathways were outlined to address workforce shortages in healthcare supply chains, utilizing intellectual disability care as a representative example. These pathways comprise optimizing the potential of the current workforce, illustrating innovative HR practices for enhancing their performance, and proposing strategies for retaining these valuable workers.

Despite its potential, the HR domain remains relatively underdeveloped within OSCM research. The authors show how HR practices can potentially mitigate impending workforce shortages. While utilizing intellectual disability care as a representative example, this paper proposes that the impact pathways identified can be extended to various other healthcare settings.

This study investigates the roles of technological development, artificial intelligence (AI), and robots in the catering business and their effects on the labor force and staff shortages.

The impact of AI, robots, and technological advancements on the labor force is outlined. Secondary sources and the results of interviews with two highly experienced experts were used to identify the transformation or metamorphosis that affects the staff situation during catering operations. This is an opinion paper that explains why it contains many of the authors’ observations and experiences.

Technological equipment and AI have been used frequently in catering operations, and robots are not grooved. In the near future, these tools could be part of a solution for the staff shortage because, with their help, less-skilled workers could be doing some of the job in the catering business.

The study is written from a limited perspective because of its qualitative nature and the fact that it is shaped by expert opinions and the author's views. It is expected that conducting the same study with a larger number of experts operating in various fields on similar topics in the future will lead to more effective results.

This research character is an opinion paper and qualitative. This research aims to explain the use of artificial intelligence, technological advancements, and robots and to explore their impacts on the labor force based on the opinions of experts and the author. The data obtained are expected to be useful for future labor force planning in catering businesses.

This study provides an exploratory framework regarding staff shortages in catering businesses and the integration of technology, AI and robots.

Based on a literature review, only a limited number of studies have been conducted on the use of technology, artificial intelligence, and robots in kitchens. None of these studies investigated their impact on the labor force. Therefore, this study is both original and valuable.