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This research aims to investigate the mediating role of organizational dehumanization in the relationships between supervisor/coworker ostracism and employee outcomes (i.e., increased physical strains, decreased work engagement, increased turnover intentions). Moreover, this research explores the moderating role of supervisor’s organizational embodiment and coworkers’ organizational embodiment in these indirect relationships.

A cross-sectional study (N = 625) surveying employees from various organizations while using online questionnaires was conducted.

Results highlighted that, when considered together, both supervisor ostracism and coworker ostracism are positively related to organizational dehumanization, which, in turn, detrimentally influences employees’ well-being (increased physical strains), attitudes (decreased work engagement) and behaviors (increased turnover intentions). Results further indicated that the indirect effects of supervisor ostracism on outcomes via organizational dehumanization were stronger when the supervisor was perceived as highly representative of the organization. However, the interactive effect between coworker ostracism and coworkers’ organizational embodiment on organizational dehumanization was not significant.

This research adds to theory by highlighting how and when supervisor and coworker ostracism relate to undesirable consequences for both employees and organizations. On top of simultaneously considering two sources of workplace ostracism (supervisor/coworkers), this research adds to extant literature by examining one underlying mechanism (i.e., organizational dehumanization) explaining their deleterious influence on outcomes. It further examines the circumstances (i.e., high organizational embodiment) in which victims of supervisor/coworker ostracism particularly rely on this experience to form organizational dehumanization perceptions.

Racism occurs in many ways and varies across countries, evolving and adapting to sociocultural history, as well as contemporary economic, political and technological changes. This chapter discusses the multilevel dimensions of racism and its diverse manifestations across multiracial societies. It examines how different aspects of racism are mediated interpersonally, and embedded in institutions, social structures and processes, that produce and sustain racial inequities in power, resources and lived experiences. Furthermore, this chapter explores the direct and indirect ways racism is expressed in online and offline platforms and details its impacts on various groups based on their intersecting social and cultural identities. Targets of racism are those who primarily bear the adverse effects. However, racism also affects its perpetrators in many ways, including by limiting their social relations and attachments, and by imposing social and economic costs. This chapter thus analyses the many aspects of racism both from targets and perpetrators' perspectives.

Over the years, at the international level, the social construction assumption according to which women would be less innovative than men and, consequently, also less prone to be involved in innovative fields, since their educational path decisions to career path decisions, has long prevailed. This has resulted in a widespread lack of representation of women in more innovative sectors, in comparison to their male counterparts. In recent years then, if the pandemic has had an impact, at least for some specific socio-economic contexts, especially on those that can be typically considered as ‘necessity entrepreneurs’, it has to be said that it has been able also to generate some virtuous dynamics crosswise related to innovative issues. In particular, this chapter aims to go in depth into these issues from the perspective of innovative women entrepreneurs in the attempt to answer to the following questions: how does the socio-economic environment affect innovative women entrepreneurs? And, what are the unique experiences, achievements and contributions of innovative women entrepreneurs in Italy? In order to answer to these specific research questions, an analysis based on direct interviews with a sample of Italian innovative women entrepreneurs has been conducted.

While uncertainty has always been a feature of the healthcare environment, its pace and scope are rapidly increasing, fueled by myriad factors such as technological advancements, the threat and frequency of disruptive events, global economic developments, and increasing complexity. Contemporary healthcare organizations thus persistently face what is known as “deep uncertainty,” which obscures their ability to predict outcomes of strategic action and decision-making, presenting them with novel challenges and threatening their survival. Persistent, deep uncertainty challenges us to revisit and reconsider how we think about uncertainty and the strategic actions needed by organizations to thrive under these circumstances. Simply put, how can healthcare organizations thrive in the face of deeply uncertain environments? We argue that healthcare organizations need to employ both adaptive and creative strategic approaches in order to effectively meet patients' needs and capture value in the long-term future. The chapter concludes by offering two ways organizations can build the dynamic capabilities needed to employ such approaches.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

This study systematically reviewed existing literature on the impact of economic uncertainty on property performance to highlight focus areas and spur future research amid unprecedented global uncertainty levels. Conceptually, uncertainty levels and environmental dynamism are related to investors' risk judgement and decision-making.

Peer-reviewed journal articles published from 2007 to 2022 were assembled and arranged through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The initial search produced 2,028 results from the Web of Science and Scopus databases, which were rigorously purified for a final dataset of 70 articles. These records were subsequently assessed through content analysis, bibliographic modelling, topic modelling and thematic analysis. Recurring themes were visualised using the VOSviewer software.

The existing literature suggests that economic uncertainty negatively impacts investment volumes, returns and performance. Research has also increased since 2018, with a strong emphasis on the housing sector and developed property markets. Commercial property and emerging markets account for only 10 and 8% of previous research, respectively.

These findings highlight the negative impact of economic uncertainties on property performance and investment volumes, which necessitate careful risk assessment. Given the high susceptibility of emerging and commercial property markets to uncertainty, these markets warrant further research amid ongoing uncertainty concerns across the globe.

Given current unprecedented levels of global uncertainty, the effects of economic uncertainty have received renewed interest. This study synthesised the current understanding of how different property markets respond to increased uncertainty and outlined future research directions to enhance understanding. Themes and relationships were also integrated into a conceptual map summarising the reported effects of economic uncertainty on housing, commercial property, investment and behaviour in the property market.

People donate to charities with the aim of improving society. Yet, many charities fail to use donations efficiently or have ineffective interventions. The authors explore the strategic operational priorities and processes that enable charities to efficiently implement their interventions and have a positive impact on society.

The authors first review the literature on charities to gain a deeper understanding of the current state of knowledge on charity operations. The authors then employ the lens of paradox theory and perform a qualitative investigation of six case studies to explore various aspects of the operations of charities that are known for being cost-effective.

The authors reveal how the strategic operational decisions of charities, as well as the processes they implement, help them resolve the tensions arising from the cost-effectiveness paradox. The authors show that cost-effective charities make strategic operational decisions that help maintain two diverging priorities: prioritizing the status quo and prioritizing change in how they deliver value. Another set of strategic decisions helps balance these two diverging priorities. The authors then show how these charities create and then maintain cost-effective operations.

The authors address recent calls for research on non-profit organizations in the field of operations management. To authors’ knowledge, it is the first in-depth study of exemplary charity operations. The results can be used by charity executives as a benchmarking tool when they develop and implement their charitable interventions and by government agencies and potential donors when they select charities for their donations. Finally, the results should have implications for other organizations trying to have a positive societal impact.

This study aims to highlight the importance of developing academic research in tourism and hospitality management into a more responsible approach, applying a multistakeholder model. This multistakeholder approach forces the tourist community to be considered when identifying the gaps and impacts of academic research.

This study suggests action research as one of the appropriate methodological approaches for conducting responsible research, as action research allows challenges to be overcome through the interaction of researchers and stakeholders. Principles of responsible research are indicated and exemplar studies that use action research are described.

Proposals and recommendations for responsible research are identified, such as demand-driven research, action research as a methodological approach and a way to address societal challenges, and the importance of considering the research ecosystem. In addition, some advantages (funding, reputation and legitimacy) and barriers (resources and publication) of responsible research are explained.

Practical implications are described. Conducting responsible research is oriented toward identifying real practical implications proposed and validated by the tourist community instead of being proposed solely by the researchers.

This paper emphasizes the need to work together with the tourist community and their stakeholders to enhance the real societal impact of academic research in tourism and hospitality management.

The authors would like to raise a self-critical debate for the future enrichment of research in the tourism industry. Research in this industry can contribute to solving significant societal problems. Responsible research can help scholars to be part of the solution to these challenges, working together with different tourism stakeholders.

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.