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This paper presents a case study of a school district–university partnership to co-design a Children’s Cabinet, a cross-sector initiative bringing together institutional and community leaders to address youth well-being in the aftermath of the COVID-19 pandemic. In a vibrant, immigrant-serving community in the Northeast United States, the partnership was initiated by district leaders in Spring 2021 after pandemic disruptions led to a youth mental health crisis.

Our descriptive, qualitative case study focuses on the structure and emerging design principles of the research–practice partnership, which established a Children’s Cabinet comprised of educational, government and community leaders along with researchers. From Spring 2021 through Spring 2024, we collected and analyzed member and youth interviews, ethnographic observations and artifacts from all meetings and process interviews with key partners.

We describe the structure of the partnership, including how researchers and district leaders collaborated on meeting facilitation and how researchers conducted and shared applied research. We then discuss three design principles that guided the work, including centering relationships, sustaining focus on key goals and embedding applied research.

As embedded research partners, our team is uniquely situated to narrate the nature and structure of the partnership and reflect on the design of our cross-sector initiative. Increasingly, universities are partnering directly with districts on school improvement initiatives. Our work shows how engaging in RPPs to bring together school, community and research partners can facilitate local leadership and collaboration to address complex, cross-sector goals such as increasing youth well-being.

This study aims to review the prepositioning of relief items literature through a decision-making lens to explore the decisions involved, the factors guiding them and the influence of model design on these decisions. Despite their potential to inform decision-making, quantitative prepositioning models remain underutilised in practice. Understanding the foundational principles that shape model design and their connections to decision-making is crucial for effectively developing and implementing more practical models.

A systematic literature review was conducted, and 97 relevant papers were analysed bibliographically and thematically. The thematic analysis is guided by the value-focused thinking approach, which provides a structured understanding of the decision-making process by focusing on the decision makers’ values.

This study identifies key prepositioning decisions related to facilities, inventory and distribution. It highlights efficiency, effectiveness and equity as the main values guiding prepositioning decisions and examines the mutual influence of model design and decisions. Moreover, a decision-making framework for prepositioning problems has been developed, outlining key steps and relevant decisions.

This research provides novel insights into how the decision-making process regarding prepositioning is reflected in quantitative models. It helps researchers choose model designs that better align with decision makers’ priorities and requirements, increasing the models’ practicality. Additionally, it helps decision makers comprehend quantitative models and the reasons behind their mathematical complexities, ultimately improving the effectiveness of decision-making for prepositioning.

The study aims to present an agent-based simulation model (ABM) for exploring interorganizational coordination scenarios in local disaster preparedness. This approach includes local actors and logistical processes as agents to compare various strategic coordination mechanisms.

The ABM model, developed in the Latin American context, specifically focuses on a case study of Colombia. Three coordination mechanisms (centralized, decentralized and cluster-type) have been evaluated using three performance indicators: effectiveness, efficiency and flexibility.

Simulation results show that the decentralized scenario outperforms in terms of efficiency and flexibility. On the contrary, the centralized and cluster-type scenarios demonstrate higher effectiveness, achieving a greater percentage of requirements coverage during the disaster preparedness stage. The ABM approach effectively evaluates strategical coordination mechanisms based on the analyzed performance indicators.

This study has limitations due to the application of results to a single real case. In addition, the focus of the study is primarily on a specific type of disaster, specifically hydrometeorological events such as flash floods, torrential rains and landslides. Moreover, the scope of decision-making is restricted to key actors involved in local-level disaster management within a municipality.

The proposed ABM model has the potential as a decision-making tool for policies and local coordination schemes for future disasters. The simulation tool could also explore diverse geographical scenarios and disaster types, demonstrating its versatility and broader applicability for further insights and recommendations.

Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This study aims to address this problem with a novel mathematical model.

In this research, a bi-objective mixed-integer linear programming model is developed to tackle pre-positioning and distributing relief items, and it is formulated as an integrated location-allocation-routing problem with uncertain parameters. The humanitarian supply chain consists of relief facilities (RFs) and demand points (DPs). Perishable and imperishable relief commodities (RCs), different types of vehicles, different transportation modes, a time window for delivering perishable commodities and the occurrence of unmet demand are considered. A scenario-based game theory is applied for purchasing RCs from different suppliers and an integrated best-worst method-technique for order of preference by similarity to ideal solution technique is implemented to determine the importance of DPs. The proposed model is used to solve several random test problems for verification, and to validate the model, Iran’s flood in 2019 is investigated as a case study for which useful managerial insights are provided.

Managers can effectively adjust their preferences towards response time and total cost of the network and use sensitivity analysis results in their decisions.

The model locates RFs, allocates DPs to RFs in the pre-disaster stage, and determines the routing of RCs from RFs to DPs in the post-disaster stage with respect to minimizing total costs and response time of the humanitarian logistics network.

Technostress reduces employees' work performance and increases their turnover intentions, such that technostress harms organizations' success. This paper investigates how the digital mindset of employees, reflecting their cognitive filter while using digital technologies, influences reactions to techno-stressors.

In this quantitative study, the authors conducted a survey among 151 employees who regularly use digital technologies and encounter various techno-stressors in their daily work. To build this research model and evaluate the influence of employees’ digital mindset on technostress, the authors followed arguments from the transactional model of stress. The authors evaluated our research model using the covariance-based structural equation model.

The study findings reveal that employees’ digital mindset influences technostress. Employees with high levels of digital mindset react with less adverse effects on perceived techno-stressors. Further, the authors find that employees with high levels of digital mindset perform well and are satisfied with their job. The authors contribute to technostress research by revealing that digital mindset buffers the adverse effects of techno-stressors. The authors also contribute to research on digital mindset by showing that it influences psychological and behavioral reactions to techno-stressors.

This study develops and empirically tests an integrated model of technostress to explain how digital mindset mitigates technostress. The study findings outline relevant research avenues for studies investigating employees’ characteristics and technostress.

The purpose of this paper is to identify the key factors influencing the resilience of innovation ecosystems and propose strategies for proactively managing disruptions to ensure their continued viability. Enhancing resilience within innovation ecosystems is a fundamental prerequisite for ensuring their sustainable development. The resilience of such ecosystems is commonly associated with their capacity to recover from disturbances. Consequently, to ensure their continued viability, innovation ecosystems must proactively manage disruptions by identifying the factors that influence resilience.

Given the relatively limited attention afforded to indicators impacting the resilience of innovation ecosystems thus far, this article endeavors to present a framework for assessing resilience within such ecosystems, drawing upon the metaphorical understanding of resilience in natural ecosystems. To achieve this objective, the present research adopts the metaphor research method, which involves delineating the research problem and elucidating the origin of the metaphor.

Subsequently, through content analysis, the indicators for evaluating resilience in natural ecosystems are identified, and corresponding indicators and components are derived for the innovation ecosystem. These indicators are categorized into five dimensions, encompassing ecosystem capabilities, ecosystem interactions and structure, ecosystem status, ecosystem capacity and ecosystem environment.

This article endeavors to present a resilience framework for innovation ecosystems, drawing on the metaphorical concept of resilience evident in natural ecosystems. Through the method of metaphor research, the article first elucidates the research problem and selects ecology as the primary source of metaphor. Subsequently, evaluation indicators of resilience in natural ecosystems are determined using theme analysis.

The resurgence of VR began in 2009 with Palmer Luckey's project to create a head-mounted 3D VR gaming device, leading to the development of Oculus. This movement was heavily influenced by hardcore gaming values, particularly those of John Carmack, a pioneer in first-person shooter games. The Oculus Kickstarter in 2012 emphasised VR for hardcore gamers, aiming for high graphical fidelity and immersive experiences. However, this focus has limited VR's potential. The chapter examines two case studies: SuperHot VR and Beat Saber. SuperHot VR challenges the emphasis on photorealism by offering immersion-through-proprioception, providing a unique VR experience without relying on high graphical fidelity. Beat Saber, though often seen as a casual game, has become the bestselling VR game by offering a pleasurable, short-play experience reminiscent of Nintendo Wii's casual games. The success of these games suggests that VR can thrive by appealing to a broader audience beyond hardcore gamers. By focusing on embodiment rather than purely visual immersion, these games highlight the potential for diverse VR experiences. This chapter argues that the fixation on hardcore gaming values, characterised by hyper-realistic graphics and intense gameplay, has restricted VR's growth. The success of games like SuperHot VR and Beat Saber demonstrates that VR can achieve broader appeal and greater success by catering to more varied gaming preferences and moving beyond the narrow confines of hardcore gamer culture.

This study aims to investigate and test the impact of competitive priorities, in terms of quality, speed, dependability, flexibility, cost and patient engagement, on patient satisfaction with healthcare services. It considers patients’ rather than managers’ points of view to collect responses about competitive priorities.

This research employed a cross-sectional survey design to analyze a sample of customers through an empirical study of 488 patients in Qatar’s healthcare service context.

The confirmatory factor analysis results show that competitive priorities and engagement positively and significantly impact patient satisfaction.

Researchers can use this methodology to explore the role of competitive priorities in different service contexts and sectors. The researchers conducted the study in Qatar; therefore, the results are not generalizable to all healthcare sectors. However, regardless of geographic location, the research approach can be used in healthcare.

Managers can employ the developed scales to diagnose competitive priorities and improve customer service experiences.

The paper is original as it suggests using competitive priorities as a measurement tool for predicting patient satisfaction compared to prior research that mostly measured competitive priorities based on internal perspectives (managers’ perspectives). Further, this paper is original because it depends on the external perspective (customers’ perspective) for the competitive priorities for measuring patient satisfaction.

This chapter discusses the control of women's bodies and minds through the daily practices of menstrual control apps. Based on Michel Foucault's concepts (2003, 2006, 2013), the research is based on women's relationship with their own bodies. Still, it is wider than the body per se since the central theme is the construction of subjectivities. This paper embraces power modalities and explores disciplinary and discursive practices and regimes of truth, biopower, biopolitics and governance. The paper frames the fundamental points of Michel Foucault's analysis of power and how they are associated with strategies used for menstrual tracking apps. It looks at how apps act on the subjectivity of being a woman, shaping ways of thinking and acting. It looks at how disciplinary practices, knowledge–power and surveillance, as Foucault tells us, relate to themselves and medicine. The text highlights that monitoring data and corporate surveillance by menstrual apps poses unprecedented challenges to feminist politics. Therefore, we argue that the technology of menstrual tracking apps acts subtly and uninterruptedly to docilise female bodies and make them useful. Trying to find new paths and solutions from a feminist and critical perspective, we offer suggestions for further research on the topic, disregarding liberal approaches which rely on media literacy exclusively rather than a holistic comprehension of technology and women's rights.

The purpose of this paper is to examine the effect of mobile customer relationship management (mCRM), service innovation (SI) and word of mouth (WOM) on the investment decisions (IDs) of mutual fund investors.

This paper presents a new model for impacting the IDs of mutual fund investors. To verify the suggested model, Partial Least Squares with Structural Equation Modelling are used. For analysis, a survey questionnaire is designed, and data inputs were invited from more than 400 online mutual fund investors in Delhi NCR.

The outcomes reveal that the ID of mutual fund investors is significantly influenced by WOM. WOM, in turn, is significantly impacted by mCRM applications through SI playing a mediating role.

The limitation with reference to survey respondents was that only online mutual fund investors using mCRM applications were considered. Moreover, this study was conducted in Delhi NRC, and a limited sample was considered.

The result from this research helps the financial organisation to consider SI in their mCRM application as one of the main concerned areas for increased WOM that directly influences the ID of mutual fund investors.

This study highlighted the impact of SI and WOM on the mutual fund investors’ decision, who use mCRM application. The outcome may contribute to the theoretical framework of IDs concerning mCRM applications. The results of this research offer practical implications for financial organisations in strategising their marketing and product development plans in the context of mutual funds. Also, the mutual fund ID through mCRM application is positively influenced by SI and WOM using both constructs as sequential mediating tools. This research offers new insights into mCRM application for mutual fund investors and financial organisations in India.