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This study examined the dual roles of supervisor-directed surface acting (SDSA) and unfairness talk emerging from low overall justice judgments and the impact of these variables on subordinates' job satisfaction and emotional exhaustion.

Working professionals (n = 203) were sampled from online panel services in a time-separated data collection design.

SDSA was found to mediate the relationships of overall justice with emotional exhaustion and job satisfaction. Additionally, unfairness talk reduced the debilitating effect of SDSA on emotional exhaustion, not job satisfaction.

The paper highlights the importance of supervisors understanding the problematic nature of ongoing interactions with subordinates after unjust events occur.

This study helps to better explain why overall justice assessments influence subordinates' job satisfaction and emotional exhaustion. Additionally, the findings show that unfairness talk may not be as detrimental as suggested in recent studies, and it acts as a coping mechanism when contending with high SDSA, especially when emotional exhaustion is considered.

Classical unit root tests are known to suffer from potentially crippling size distortions, and a range of procedures have been proposed to attenuate this problem, including the use of bootstrap procedures. It is also known that the estimating equation’s functional form can affect the outcome of the test, and various model selection procedures have been proposed to overcome this limitation. In this chapter, the authors adopt a model averaging procedure to deal with model uncertainty at the testing stage. In addition, the authors leverage an automatic model-free dependent bootstrap procedure where the null is imposed by simple differencing (the block length is automatically determined using recent developments for bootstrapping dependent processes). Monte Carlo simulations indicate that this approach exhibits the lowest size distortions among its peers in settings that confound existing approaches, while it has superior power relative to those peers whose size distortions do not preclude their general use. The proposed approach is fully automatic, and there are no nuisance parameters that have to be set by the user, which ought to appeal to practitioners.

Behavioral threat assessment and intervention is a violence prevention strategy that has become widely used in US schools. Instead of relying on a zero tolerance disciplinary approach that often leads to school exclusion of students with disabilities, schools can use a multidisciplinary threat assessment team to assess the seriousness and context of a student's behavior and identify appropriate interventions and supports. This process is especially valuable for students with disabilities who are identified as threatening violence. This chapter describes an evidence-based model of threat assessment, the Comprehensive School Threat Assessment Guidelines (CSTAG), ¹ reviews some common misunderstandings of threat assessment, and presents a case example illustrating the value of threat assessment in preventing school exclusion, and provides services for a student with a disability.

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

This chapter came about, after five years of working with the Ngadjuri community on speculative student cultural centre designs. Ideation for those conversations and studio-based interactions, in addition to time and cultural tours spent on Country, revealed a variety of opinions and hopes that exist within the Ngadjuri community for a place to celebrate their cultural heritage. This heritage has an incredible history, and the idea of a cultural centre has been topical since the late Uncle Vince Copley Senior worked with other Ngadjuri community members such as Robert Rigney, on Country and in an advocacy role for Ngadjuri more than 30 years ago. This series of yarnings from a two-part transcription process re-awakens those desires of Elders now passed. The transcriptions are complemented with literature around yarning as a research methodology that delivers current, immediate, and insightful personal thoughts, although only as personal as the lead yarner wishes to share. In addition, the literature contextualises the key themes of which the yarnings divulge. Research has indicated how yarning interactions and interrelationships create a unique dynamic between the researcher and the community members. It is these rich experiences where knowledge is shared in a two-way exchange that is noteworthy for the galleries, libraries, archives, and museums [GLAM] sector. GLAM sector priorities must implement policy to pursue future Indigenisation of their epistemological methods and ontological systems. To address any future data curation of Ngadjuri cultural heritage materials on Country or in GLAM, hearing the personal stories and desires seemed timely and necessary.

The main stance of this paper is to draw an authentic and rigorous outlook in terms of the financial and operational performance of small lodging establishments (SLEs) and put forth achievable and practical economic solutions that demonstrate the relative effectiveness of the adopted measures. This paper also suggests practical solutions to help minimize SLEs' financial vulnerability to long-term crisis and to boost their resilience with relative measures by applying recovery revival strategies for this particular segment of the lodging industry.

The authors have picked a locally owned resort hotel in Central Florida area and structured a real-life, case study-based inductive approach that is purposeful and offers rich economic outlook and analysis for the entire lodging industry, especially for the resort-hotel type of accommodation facilities. The main reason for why they only focus on one company is that they can fully understand the financial effects of COVID-19 on resort type of hotels and layout countering strategies. To achieve paper objectives, they have implemented cost–benefit (C–B), break-even (B-E) analyses along with a sensitivity testing approach.

The most striking result was that during the state-mandated shutdown period in 2020, overhead and overall operational costs associated with room sales and revenues were very high during this period that shrank the contribution margin ratio for rooms CMRw (room) and eventually yielded high sales volumes to be achieved at the B-E points vs lower sales volumes with almost the same average daily rate (ADR) levels needed for the B-E levels.

Future studies should specifically delve further into a portfolio of SLEs in the region or state or nation wise because the units comprising the SLEs might be too small to muster the changes required to bounce forward for the entire lodging industry in the world.

The resort's revenue re-optimization focus should center on financial re-benchmarking and business re-viability stress under different levels of shock scenarios. According to the different scenarios and calibrations for the ADRs, room nights, net present values (NPVs) of cash flows and profit margins derived from our main analyses, minimizing expenses and preserving cash would be the best key strategy for financial recovery during an ongoing COVID-19 pandemic.

It is obvious that the lodging, hospitality and tourism industry are the hardest-hit industries by the harsh and adverse effects of COVID-19. The effects of pandemic are differently shaped on operations in different industries and subsectors. Therefore, the operational and financial evaluation for the SLEs as the core and a catalyst in the entire lodging industry can shed a light on the strategic financial recovery procedures with broadly applicable real-life and endogenous capabilities and reasoning.

The increasing need for student engagement and the wide availability of digital teaching resources are providing opportunities for careful consideration and planning of assignments within and among business management courses. This paper aims to examine implementation strategies for integrating multiple business simulations with gradually increased assignment weighting and coordinated implementation in a university business curriculum.

A case study research design with a pattern-matching logic is used to represent a critical test of formulated programmatic and learning theories that have a set of propositions and circumstances with which the proposals are believed to be true. Applied digital management education tools used in a graduated weighting scheme compare an empirically-based pattern with a predicted pattern.

Systemic program-wide implementation of teaching resources such as simulations, microsimulations and application-based activity role-playing assignments can deliver engaging internal course and coordinated management program experiential-type learning. Carefully planning graduated assignment weights can be a practical strategy for using a low-risk approach to enhance experiential learning.

The strategies proposed provide a practical approach for controlling the learning pace and facilitating low-risk experiential learning through the modern digital business education landscape.

This paper investigates innovative implementation ideas to strategically arrange simulation assignments that can enhance success and prepare students future management work-based training. It explores the value of incorporating different types of business simulations and advanced active learning activities to provide students with engaging experiential learning experiences.

The purpose of this study is to examine the significance of incorporating diverse lived experiences and identities through culturally relevant pedagogy (CRP) in promoting sustainability, cultural diversity and the integration of various perspectives and worldviews rooted in identity and lived experience in sustainability education at Community College of Allegheny County (CCAC).

A case study approach using Geneva Gay’s (2002) CRP framework was used to investigate the role of CRP in sustainability education at CCAC. Thematic analysis was used to analyze the data collected from eight interviews and 67 survey respondents, who participated in a larger exploratory study focusing on education-related sustainable development goals objectives in technical and vocational education and trainings.

The findings indicate that implementing CRP in sustainability education fosters a culturally diverse learning environment, leading to enhanced cultural competence, critical thinking, global citizenship and academic achievement. Best practices and potential benefits of integrating diverse lived experiences and identities using CRP are also identified.

The small sample size may limit the generalizability of the findings. To address this limitation, future studies could use larger and more diverse samples to confirm the findings of this study. Additionally, the study was conducted at a single institution, which may limit the transferability of the findings to other institutions. Future studies could replicate this study at different institutions to determine the generalizability of the findings. Another limitation is the reliance on self-reported data, which may be subject to social desirability bias. To address this limitation, future studies could use a mixed-methods approach that includes both qualitative and quantitative data sources.

This study highlights the need for community colleges to prioritize diverse faculty and staff recruitment, provide CRP and diversity training and establish partnerships with community organizations. By implementing these recommendations, institutions can enhance sustainability education, promote cultural competence and foster critical thinking among students, ultimately contributing to a more inclusive and equitable learning environment.

The integration of diverse lived experiences and identities using CRP in sustainability education can lead to a more culturally diverse and socially inclusive society. By fostering cultural competence, global citizenship and critical thinking in students, community colleges can empower them to address global challenges and contribute to achieving a sustainable and equitable future for all.

This paper contributes to the understanding of the role of CRP in promoting sustainability and cultural diversity in CCAC and education. It highlights the significance of including diverse perspectives and worldviews rooted in identity and lived experience in sustainability education, offering practical recommendations for integrating CRP in educational institutions.

The authors compare sentiment level with sentiment shock from different angles to determine which measure better captures the relationship between sentiment and stock returns.

This paper examines the relationship between investor sentiment and contemporaneous stock returns. It also proposes a model of systems science to explain the empirical findings.

The authors find that sentiment shock has a higher explanatory power on stock returns than sentiment itself, and sentiment shock beta exhibits a much higher statistical significance than sentiment beta. Compared with sentiment level, sentiment shock has a more robust linkage to the market factors and the sentiment shock is more responsive to stock returns.

This is the first study to compare sentiment level and sentiment shock. It concludes that sentiment shock is a better indicator of the relationship between investor sentiment and contemporary stock returns.