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While there is research that has explored how institutions have responded to various crises, these are usually locally or regionally situated. However, no event has impacted higher education globally like COVID-19 and it will certainly alter the way top administrators lead and how institutions move forward. Thus, this chapter will explore how to better understand how presidents and top administrators navigate the (inter)national geopolitics as they move the institution forward. In addition, clear and up-to-date communication has proven to be important in battling this crisis. Thus, how presidents at national universities have communicated with students, faculty, staff, and various off-campus communities members regarding COVID-19 and how they have achieved is important to explore. Our findings suggest that presidents and top administrators need to build support to help them navigate the political roadblocks they may encounter. Findings also suggest that communication is the main role they play as leaders on their campus. On/off-campus community members see the presidents as the face of the university and key communicator as relates to communicating what the institutions is doing and how they are addressing the crisis. This chapter helps in better understanding the roles presidents and top administrators play during a global crisis.

The aim of this study is to investigate whether activity-based workspaces (ABWs) are able to solve the privacy-communication trade-off known from fixed-desk offices. In fixed-desk offices, employees work in private or open-plan offices (or in combi-offices) with fixed workstations, which support either privacy or communication, respectively. However, both dimensions are essential to effective employee performance, which creates the dilemma known as the privacy-communication trade-off. In activity-based workspaces, flexible workstations and the availability of different spaces may solve this dilemma, but clear empirical evidence on the matter is unavailable.

To address this knowledge gap, the authors surveyed knowledge workers (N = 363) at a medium-sized German company at three time points (T1–T3) over a one-year period during the company’s move from a fixed-desk combi-office (a combination of private and open-plan offices with fixed workplaces) to an ABW. Using a quantitative survey, the authors evaluated the employees’ perceived privacy and perceived communication in the old (T1) and the new work environments (T2 and T3).

The longitudinal study revealed a significant increase in employees’ perceived privacy and perceived communication in the ABW. These increases remained stable in the long term, which implies that ABWs have a lasting positive impact on employees.

As the privacy and communication dimensions were previously considered mutually exclusive in a single workplace, the results confirm that ABWs can balance privacy and communication, providing optimal conditions for enhanced employee performance.

This paper aims to compare employee well-being, information flow and relationships with co-workers and supervisors for people working at home and working in different office types before and during the COVID-19 pandemic.

A nationwide study of 2,845 Estonian office workers in autumn 2019 and 2,972 in spring 2020 was carried out.

It was discovered that in normal circumstances, people at home had similar results to those in a cell office or activity-based office. Open-plan offices were found to be the worst in respect to the facets of work studied. However, in the context of the pandemic, the playing field became more level in some respects and worse in the case of activity-based offices.

When telework is well arranged both in terms of facilities and organising the necessary communication and information flow, then it is a viable alternative to working in an office. What is more, employers need to pay more attention to the physical and social work conditions in open-plan offices and also activity-based offices in the context of a pandemic.

Previous studies have only compared telework with working in an office in general. Comparing working at home with different kinds of offices gives valuable insights.

The coronavirus disease 2019 (COVID-19) pandemic has had a big impact on organisations globally, leaving organisations with no choice but to adapt to the new reality of remote work to ensure business continuity. Such an unexpected reality created the conditions for testing new applications of smart home technology whilst working from home. Given the potential implications of such applications to improve the working environment, and a lack of research on that front, this paper pursued two objectives. First, the paper explored the impact of smart home applications by examining the factors that could contribute to perceived productivity and well-being whilst working from home. Second, the study investigated the role of productivity and well-being in motivating the intention of remote workers to use smart home technologies in a home-work environment in the future.

The study adopted a cross-sectional research design. For data collection, 528 smart home users working from home during the pandemic were recruited. Collected data were analysed using a structural equation modelling approach.

The results of the research confirmed that perceived productivity is dependent on service relevance, perceived usefulness, innovativeness, hedonic beliefs and control over environmental conditions. Perceived well-being correlates with task-technology fit, service relevance, perceived usefulness, perceived ease of use, attitude to smart homes, innovativeness, hedonic beliefs and control over environmental conditions. Intention to work from a smart home-office in the future is dependent on perceived well-being.

The findings of the research contribute to the organisational and smart home literature, by providing missing evidence about the implications of the application of smart home technologies for employees' perceived productivity and well-being. The paper considers the conditions that facilitate better outcomes during remote work and could potentially be used to improve the work environment in offices after the pandemic. Also, the findings inform smart home developers about the features of technology which could improve the developers' application in contexts beyond home settings.

Green lean six sigma (GLSS) is a sustainable development approach that leads to improved patient care with improved safety and quality of service to patients. This study aims to identify, study, model and analyze GLSS success factors for the Indian health-care facility.

Interpretive structural modeling (ISM) and Impact Matrix Cross-Reference Multiplication Applied to a Classification analyses have been used to understand the hierarchical structure among the GLSS success factors. This enabled the development of dependency relationships between success factors, in particular, which factors support the development of other factors.

Specifically, this study found that the success factors “commitment of management” and “financial availability” are the most critical to GLSS implementation success, as they support the development of all other success factors. Meanwhile “embedding sustainable measures at each stage of the service”; “the capability and effectiveness of real-time data collection”; and “feedback and corrective actions” most directly support the GLSS implementation in the health-care facility and serve as the final indicators of implementation progress.

The major implication of this research work lies in suggesting a direction for practitioners to execute the GLSS approach through a systematic understanding of classification and structural relationships among different enablers. This study also facilitates health-care managers to explore different GL wastes in hospitals and challenges to sustainability pursuits in health-care that assist in an organization’s efforts toward sustainable development.

This research work is the first of its kind that deals with the identification and analysis of the prominent factors that foster the inclusive implementation of GLSS within the health-care facility.

The purpose of this study is to explore the trends in publications made to International Journal of Quality and Reliability Management (IJQRM) for time period ranging from 2002–2022. In this study authors performed bibliometric analysis on the publications extracted from Scopus database using citations, authors, keywords and bibliographic coupling methods. The analysis helped authors highlighting the achievements of the journal towards the development of field of “quality” and “reliability” management and explore future avenues to be researched upon in the domain.

In this paper outputs derived through VoS viewer and bibliographic data of Scopus were used to examine various tabular and pictorial aspects of the authors, sources, documents, countries and keywords analysis.

The analysis results revealed that International Journal of Quality and Reliability Management (IJQRM) has got incredible 33,344 citations since 2002 with average citation count per document at 22.69. Sohal A.S. from Monash University, Australia has topped the list of most influential authors in terms of citations per document (107.20 citations/doc) published with IJQRM. However, Antony J. with massive 39 publications in total with 2074 citations is the most prominent contributor for the journal. The author has gained 6% of the total journal citations. The contributions from India, United Kingdom (UK), United States of America (USA), Iran, Australia, Portugal, Brazil, Spain, Sweden, Malaysia and Saudi Arabia are more noteworthy.

The study has implications for future researchers and journal editorial team to explore possibilities in tapping various uncovered and upcoming research areas related to the scope of journal. The findings of the study may prompt research initiatives linked to diverse fields in sync with changes happening across globe such as: Artificial Intelligence, Robotics, Data Science etc.

The study is an attempt to investigate the long standing heritage offered by IJQRM to the world of quality and reliability management. The authors tried to unearth some hidden facts about the IJQRM and attempted to showcase the past and explore future directions to the researchers and editorial team.

Lean Six Sigma in public and private healthcare organisations has received considerable attention over the last decade. Nevertheless, such process improvement methodologies are not generalizable, and their effective implementation relies on contextual variables. The purpose of this study is to explore the readiness of Italian hospitals for Lean Six Sigma and Quality Performance Improvement (LSS&QPI), with a focus on gender differences.

A survey comprising 441 healthcare professionals from public and private hospitals was conducted. Multivariate analysis of variance was used to determine the mean scores on the LSS&QPI dimensions based on hospital type, gender and their interaction.

The results showed that public healthcare professional are more aware of quality performance improvement initiatives than private healthcare professionals. Moreover, gender differences emerged according to the type of hospital, with higher awareness for men than women in public hospitals, whereas for private hospitals the opposite was true.

This study contributes to the Lean Six Sigma literature by focusing on the holistic assessment of LSS&QPI implementation.

This study informs healthcare managers about the revolution within healthcare organisations, especially public ones. Healthcare managers should spend time understanding Lean Six Sigma as a strategic orientation to promote the “lean hospital”, improving processes and fostering patient-centredness.

This is a preliminary study focussing on analysing inter-relationship between perceived importance of soft readiness factors such as gender dynamics as a missing jigsaw in the current literature. In addition, the research advances a holistic assessment of LSS&QPI, which sets it apart from the studies on single initiatives that have been documented to date.

This paper aims to characterize a sample of Lean Six Sigma (LSS) projects in healthcare settings and discuss some specificities of operational excellence (OPEX) initiatives in hospitals and healthcare organizations in the USA.

A content analysis involving a sample of 23 documents shared by US hospitals was performed in order to achieve the research objectives. Such analysis was based on a conceptual framework developed from the literature review. It was also applied to a quantitative approach, including descriptive statistics, hypothesis testing and correspondence analysis that supported the research.

Most LSSH projects were focused on business transformation and strategic improvements. Simple techniques and tools were predominant such as descriptive statistics, process mapping, 5S and spaghetti charts, usually implemented by Green Belts and Black Belts through the define, measure, analyze, improve and control (DMAIC) method. In addition to the expressive findings reported, these projects' results have been aligned with lead time and operational cost reduction, quality improvement and capacity increase.

The study adds knowledge to the OPEX literature by analyzing the Lean Six Sigma healthcare (LSSH) in hospitals and healthcare institutions in the USA. It also demonstrates that different approaches, such as the kaizen event and DMAIC project show different results according to some techniques and tools applied in the hospital environment.

The empirical evidence presented in this study provides scenery of the LSS practices in the healthcare settings, highlighting the implementation areas, outcomes, tools and techniques mostly used in the North American healthcare institutions.