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The need to match highly variable demand for healthcare services with existing capacity has been a significant health system challenge experienced by the COVID-19 pandemic. Despite mounting research on various COVID-19 responses in the recent literature, there has not been a structured review examining key determinants of health system volume flexibility. The focus of the present research is to review recent literature based on a conceptual framework developed based on the volume flexibility literature on COVID-19. The review also provides a meaningful way to guide practice and future research in the area.

A literature review was performed guided by the theoretical frameworks developed in the previous volume of flexibility literature. Selected research papers were reviewed and analyzed to identify key determinants of health system volume flexibility.

Seven determinants of health system volume flexibility under three domains (demand management, capacity management, and performance) included demand management strategies, integration, capacity management strategies, workforce management, technology, quality of disease outcomes, and health system knowledge.

The research provides both health systems researchers as well as practitioners with a foundational conceptual framework and knowledge related to health system volume flexibility. In addition, this research identifies future research areas to expand knowledge relevant to health system volume flexibility.

The purpose of this study is to assess the digital skills and readiness of recent graduates from hospitality and tourism management programmes in Cyprus for job roles in the hotel industry. It seeks to identify gaps in their competencies and provide recommendations for enhancing educational curricula to better align with the evolving demands of the industry.

The study includes 19 semi-structured interviews with graduates of hospitality and tourism management programmes.

Recent graduates of hospitality and tourism management programs possess basic digital skills, including knowledge of Microsoft Office (Excel, Word and PowerPoint), email platforms and video conferencing tools (Zoom and Skype). However, there is a significant gap in their practical experience with industry-specific software, such as Opera, Fidelio, Booking.com and Expedia, which are critical for hotel operations. Graduates mentioned that those tools were only briefly covered in their academic programmes, leaving them underprepared for their application in real-world settings. Additionally, graduates expressed a need for more comprehensive training in digital marketing tools, social media management platforms and customer relationship management systems.

This preliminary research aims to give industry stakeholders, including educators, an initial understanding of the importance of digital skills and the readiness of hospitality and tourism graduates in this area. In countries that rely heavily on tourism but face a shortage of skilled employees, it is vital to understand the gap between what students are learning and what the industry actually needs.

This study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on tourism development in the United States of America, a top international tourism destination in the world, from 1995 to 2021.

To this end we use the Autoregressive Distributive Lag method which captures short and long run effects. This method is also fundamental in presenting robust results when time series data with short time periods is used. The FMOLS and DOLS methods are used to ensure the robustness of the findings.

The results of the Autoregressive Distributive Lag indicate that spending on tourism contributes to the growth of the tourist industry in the country. The study reveals that economic growth has a detrimental impact on the development of tourism. Furthermore, carbon emissions are exclusively impeding the long-term progress of tourism development. The country's prioritization of economic growth has led to a rise in carbon emissions, disregarding the desire of tourists to experience a pollution-free and natural environment. Moreover, foreign direct investment exerts a beneficial impact on the advancement of tourism.

Although there has been numerous research on the factors that influence tourism, there is less documentation on the specific factors affecting tourism development. The research examines the effect of carbon emission of tourism development of United States, the World's top tourism destinations. Few studies have attempted to unlock this association in the United States; hence, the research originality.

This paper aims to examine the conditions under which small and medium enterprises (SMEs) invest in security services when they migrate their e-commerce applications to the cloud environment. Using a risk management perspective, the paper assesses the impact of security service pricing, security incident prevalence and virulence to estimate SME security spending at the market level and draw out implications for SMEs and security service providers.

Security risks are inherently characterized by uncertainty. This study uses a Monte Carlo approach to understand the role of uncertainty in the decision to adopt security services. A model relating key security constructs is assembled based on key constructs from the domain. By manipulating security service costs and security incident types, the model estimates the market-level adoption of services, security incidents and damages incurred, along with measures of their relative dispersion.

Three key findings emerge from this study. First, adoption of services and protection is higher when tiered security services are provided, indicating that SMEs prefer to choose their security services rather than accept uniformly priced products. Second, SMEs are considered price-sensitive, resulting in a maximum level of spending in the market. Third, results indicate that security incidents and damages can be much higher than the mean in some cases, and this should serve as a cautionary note to SMEs.

Security spending has been modeled at the firm level. Adopting a market-level perspective represents a novel contribution. Additionally, the Monte Carlo approach provides managers with tangible measures of uncertainty, affording additional information and insight when making security service adoption decisions.

From a world society perspective, common national educational developments are driven by global cultural models that dominated an international liberal order. These models emphasized the centrality of education as an institution, both as a source of human capital and as an inherent human right. Epistemic communities and international organizations circulated these models influencing national educational policies and reforms. However, in recent decades the international liberal order has been challenged with social movements across the political spectrum questioning the value and authority of education in this order. Earlier educational mandates to be more inclusive are attacked with the rights of women, immigrants, and minorities often targeted. Confidence in knowledge grounded in education and science also gets undercut. In a more fragmented world society, educational contestations increase, reflecting surges in nationalist, populist, and traditional illiberal ideas. We reflect on the impact of these challenges on the centrality of education and propose future research directions to ascertain which educational developments are likely to continue to be globally valued and which are more apt to erode.

As a company’s corporate social responsibility (CSR) image can protect from the backlash of a service failure, it is important to remind customers of the company’s CSR commitment when a service failure occurs. One novel mechanism for doing so is through a prosocial service recovery. However, explorations of such service recovery strategies are relatively unknown. Thus, this paper aims to examine how recoveries including prosocial elements compare to those only utilizing monetary compensation strategies and to explore boundary conditions for such effects.

This research utilizes an experimental design approach across three studies. Participants were recruited from Amazon’s Mechanical Turk.

This research demonstrates that a recovery including prosocial (vs only monetary) elements can positively impact purchase intent through the firms’ CSR perceptions. The authors show that the benefits of prosocial compensation are contingent on the motivation for visiting a company (e.g. hedonic vs utilitarian) as well as the degree to which the company is perceived as luxurious.

The series of studies provides important theoretical contributions to services marketers by advancing the understanding of novel recovery strategies and demonstrating when companies should initiate such strategies. Implications of the findings and directions for future research are explored.

In today’s rapidly evolving business landscape, innovation is the cornerstone for every organization. Knowledge management (KM) is crucial for developing sustainable competitive advantage by fostering innovation. This study aims to identify the key drivers of KM in the context of digital transformation through qualitative research.

This study employs a qualitative approach based on in-depth interviews with senior KM officers, including chief knowledge officers and directors who spearhead KM in their respective organizations. This research identifies four key dimensions, shedding new light on the drivers of KM in the context of digital transformation.

This study’s findings reveal that the integration of important drivers from the lens of social-technical system (STS) theory is categorized into the four dimensions of KM, namely, motivation, technology, people interaction and organizational drivers. These factors jointly impact and design the effectiveness of KM in the digital age.

This study makes a unique contribution to the field of digital transformation. It presents a conceptual framework from the lens of the STS theory that encompasses four critical dimensions of KM: motivation, technology, people interaction and organizational dimensions, each with sub-codes. This framework can be utilized by practitioners and scholars alike.

The objective of this study is to explore the structural attributes of the pharmaceutical industry before the onset of the COVID-19 pandemic by examining the relationship between inventory and firm performance and developing a taxonomy of pharmaceutical firms based on the earns-turns matrix.

This study examines the inventory–firm performance linkage, considering both total inventory and its discrete inventory components in pharmaceutical firms. In addition, this research develops a new taxonomy of pharmaceutical firms based on the earns-turns matrix. A large panel dataset of firms in the US pharmaceutical industry was collected for the period 2000–2019.

The results reveal that strategic groups identified based on this taxonomy show different levels of profitability and inventory turns in the earns-turns matrix. Most pharmaceutical firms moved from the low-right to the top-left section in the earns-turns matrix, indicating that these firms have generally pursued profitability rather than effective inventory management.

This study explores the structural attributes of the pharmaceutical industry using the earns-turns matrix. This two-dimensional analysis may not, however, capture the full complexity of inventory–firm performance dynamics.

The mapping of strategic groups on the earns-turns matrix provides a useful tool for visual representations of the dynamics of strategic groups in terms of financial performance and inventory management performance. Practitioners can use the earns-turns matrix to benchmark their firm's position against their competitors.

This study broadens the scope of operations management research by introducing the earns-turns matrix as an empirical validation tool for operational and strategic management theories. This study emphasizes the effectiveness of the earns-turns matrix in analyzing strategic groups of pharmaceutical firms.

This study aims to examine the effect of perceived supervisor support (PSS) and workplace dignity (WPD) on employees' affective commitment to change (ACC). It also investigates PSS as an antecedent of WPD and WPD as a mediator between PSS and ACC.

To examine the proposed relationships, data was collected from employees of an Indian public sector company undergoing many change initiatives at the time of the study. The hypotheses were tested using the structural equation model.

The findings indicate the direct effect of PSS and WPD on employees' ACC, and WPD does mediate between PSS and ACC. The results also suggest PSS works as an antecedent of WPD.

The findings suggest how organizations can enhance employees’ ACC by creating a positive context involving supervisor support and experience of WPD.

The findings contribute to ACC literature by highlighting the role of WPD and PSS. This is one of the few quantitative studies which examines the antecedent and consequences of WPD.