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In today′s competitive global economy, every business can benefit from managing its operations in a cost‐efficient manner. Managing materials should be no exception and the effect of inflation on ordering policies for purchased materials and supplies should be carefully analysed. It is very likely that a business can place itself in an advantageous position by changing its ordering policies in response to unfavourable economic conditions in its future operating environment. Presents a total cost model and, through simulation analysis, shows that inflationary conditions do affect lot sizes. Also shows that there are instances where lot sizes stay stable before changing again in response to increase in inflationary rates.

This paper explores how healthcare administration students perceive the integration of Artificial Intelligence (AI) in healthcare leadership, mainly focusing on the sustainability aspects involved. It aims to identify gaps in current educational curricula and suggests enhancements to better prepare future healthcare professionals for the evolving demands of AI-driven healthcare environments.

This study utilized a cross-sectional survey design to understand healthcare administration students' perceptions regarding integrating AI in healthcare leadership. An online questionnaire, developed from an extensive literature review covering fundamental AI knowledge and its role in sustainable leadership, was distributed to students majoring and minoring in healthcare administration. This methodological approach garnered participation from 62 students, providing insights and perspectives crucial for the study’s objectives.

The research revealed that while a significant majority of healthcare administration students (70%) recognize the potential of AI in fostering sustainable leadership in healthcare, only 30% feel adequately prepared to work in AI-integrated environments. Additionally, students were interested in learning more about AI applications in healthcare and the role of AI in sustainable leadership, underscoring the need for comprehensive AI-focused education in their curriculum.

The research is limited by its focus on a single academic institution, which may not fully represent the diversity of perspectives in healthcare administration.

This study highlights the need for healthcare administration curricula to incorporate AI education, aligning theoretical knowledge with practical applications, to effectively prepare future professionals for the evolving demands of AI-integrated healthcare environments.

This research paper presents insights into healthcare administration students' readiness and perspectives toward AI integration in healthcare leadership, filling a critical gap in understanding the educational needs in the evolving landscape of AI-driven healthcare.

This study aims to compare the social support among patients with schizophrenia or methamphetamine dependency with healthy individuals.

Using convince sampling, the authors recruited 80 patients (schizophrenia, n = 40; methamphetamine dependency, n = 40) and their companions (healthy individuals, n = 40) who were referred to a psychiatric hospital in a cross-sectional study in Sari, Iran. In in-person interviews, the authors collected data on demographic characteristics and measured social support using a standardized questionnaire.

The three groups were similar regarding age and marital status, but different in gender distribution (p = 0.001). The average social support score was 58.0 in the schizophrenia group and 42.3 in the methamphetamine-dependent group, both significantly lower than 63.6 in the healthy group (p = 0.001). The social support scores in schizophrenia and methamphetamine-dependent groups were significantly lower than those in the healthy group across all subgroups of gender (p < 0.04), age (p < 0.05) and marital status (p < 0.001). The methamphetamine-dependent group had the lowest score overall and across all demographic groups and social support subdomains.

This study had two main limitations. First, the study samples were from one city and one hospital in the north of Iran and so may not be generalizable to other population and settings. Second, the authors did not study the causes or predictors of low social support like social stigma which should be studied in future studies.

Despite the limitations, this study found low social support for people diagnosed with schizophrenia or methamphetamine dependency. Intervention to increase social support for them, especially for those with substance use, is required.

The purpose of this paper is to present an overview of functional properties of the polysaccharide-based component and their application in developing edible film and coating for the food processing sector.

In this review study, approximately 271 research and review articles focusing on studies related to polysaccharide-based components and their film-forming properties. This article also focused on the application of polysaccharide-based edible film in the food sector.

From the literature reviewed, polysaccharide components and components-based edible film/coating is the biodegradable and eco-friendly packaging of the materials and directly consumed by the consumer with food. It has been reported that the polysaccharide components have excellent properties such as being nontoxic, antioxidant, antimicrobial, antifungal and with good nutrients. The polysaccharide-based edible film has lipid and gas barrier properties with excellent transparency and mechanical strength. In various studies, researchers worked on the development of polysaccharide-based edible film and coating by incorporating plant based natural antioxidants. This was primarily done for obtaining improved physical and chemical properties of the edible film and coating. In future, the technology of developing polysaccharide-based edible film and coating could be used for extending the shelf life and preserving the quality of fruits and vegetables at a commercial level. There is more need to understand the role of edible packaging and sustainability in the food and environment sector.

Through this review paper, possible applications of polysaccharide-based components and their function property in the formation of the edible film and their effect on fruits, vegetables and other food products are discussed after detailed studies of literature from thesis and journal article.

This paper aims to understand the challenges of managing projects in hybrid organizations. The authors explore how organizations with persistent competing institutional logics strive to balance competing priorities, and the authors craft a research agenda to examine the capabilities to manage projects in hybrid organizations.

The authors focus on the social enterprise hybrid organizational form to study how such organizations manage persistent competing social and economic logics. The authors review the project management and social enterprise literature to generate new insights and suggest future research directions for theory development for project management.

The understanding of the influences of the institutional context on the management of projects is still quite limited. The authors propose that project managers need adaptive capabilities to address how the dual logics, and their corresponding different expectations, can be flexibly combined. The objective is not to reduce the complexity due to the different logics, which is the focus of much of the literature on institutional complexity. Instead, the focus is on how to incorporate dual logics into a successfully blended hybrid organization.

There is a dearth of literature about how projects are successfully managed in hybrid organizations with persistent competing institutional logics, like social enterprises, and important questions remain to be answered. This paper offers new insights on the capabilities required to flexibly combine dual logics that would generally compete and create conflict on projects in hybrid organizations.

Due to the extensive industrial applications of stagnation flow problems, the present work aims to investigate the magnetohydrodynamics (MHD) flow and heat transfer of a magnetite nanofluid (here Fe₃O₄–water nanofluid) impinging a flat porous plate under the effects of a non-uniform magnetic field and chemical reaction with variable reaction rate.

Similarity transformations are applied to reduce the governing partial differential equations with boundary conditions into a system of ordinary differential equations over a semi-infinite domain. The modified fourth-order Runge–Kutta method with the shooting technique which is developed for unbounded domains is conducted to give approximate solutions of the problem, which are then verified by results of other researchers, showing very good agreements.

The effects of the volume fraction of nanoparticles, permeability, magnetic field, chemical reaction and Schmidt number on velocity, temperature and concentration fields are examined and graphically illustrated. It was found that fluid velocity and temperature fields are affected strongly by the types of nanoparticles. Moreover, magnetic field and radiation have strong effects on velocity and temperature fields, fluid velocity increases and thickness of the velocity boundary layer decreases as magnetic parameter M increases. The results also showed that the thickness of the concentration boundary layer decreases with an increase in the Schmidt number, as well as an increase in the chemical reaction coefficient.

The thermophysical properties of the magnetite nanofluid (Fe₃O₄–water nanofluid) in different conditions should be checked.

Stagnation flow of viscous fluid is important due to its vast industrial applications, such as the flows over the tips of rockets, aircrafts, submarines and oil ships. Moreover, nanofluid, a liquid containing a dispersion of sub-micronic solid particles (nanoparticles) with typical length of the order of 1-50 nm, showed abnormal convective heat transfer enhancement, which is remarkable.

The major novelty of the present work corresponds to utilization of a magnetite nanofluid (Fe₃O₄–water nanofluid) in a stagnation flow influenced by chemical reaction and magnetic field. It should be noted that in addition to a variable chemical reaction, the permeability is non-uniform, while the imposed magnetic field also varies along the sheet. These, all, make the present work rather original.

Information security is a critical issue in all organizations. The success of information security in libraries depends, to a large extent, on the effective behavior of administrators, librarians, users and all human staff. Accordingly, this study aims to design a model for identifying human factors affecting information security in libraries.

This study is applied in terms of research objectives and is a survey in terms of data collection. Moreover, it goes under the rubric of structural equation modeling in terms of the relationship between variables. The statistical population consisted of 100 managers and librarians of academic and public libraries of Hamadan in Iran. A questionnaire was used for data collection. The face and content validity of the questionnaire were examined using the expert’s opinions in the field of Iranian libraries. Also, the reliability of the questionnaire was calculated through Cronbach’s alpha coefficient. Data were analyzed using SPSS 16 and Smart PLS 2.

The results showed that among the components of information security, the highest score was designated to self-esteem (4.11 ± 0.57) and level of skill (4.07 ± 0.59), whereas the lowest score belonged to the level of education (3.51 ± 0.74). Ranking human factors affecting information security showed that experience with Rank 1 had the most impact, whereas the level of skill with Rank 6 had the least impact on information security.

In this study, for the first time, a model was designed and tested for human factors affecting information security in libraries. Information security professionals, librarians and library and information science researchers can exploit this model in the future.

Previous studies on consumer financial fraud (CFF) have primarily focused on micro-level relationships. This study seeks to provide a holistic macro-level perspective of CFF patterns in the USA. We explore whether CFFs follow a geographical pattern in the USA and evaluate whether and how the patterns and strength of spatial interrelations between states have changed over time, particularly pre-, during and post-COVID-19 Pandemic.

This research investigates the spatial patterns inherent in four CFF variables – total reported frauds, percentage of frauds reporting a loss, total losses and median loss – across the contiguous USA from 2018 to 2022. An in-depth examination was conducted at the state level by applying Moran's I method on the consumer sentinel network data, a database administered by the Federal Trade Commission.

The findings provide robust and statistically significant spatial autocorrelation of four CFF variables across the contiguous USA that are persistent from 2018 to 2022, consistent across all discerned patterns. Moreover, upon aggregating average values over the entire study period, total losses emerge as the dimension displaying the most pronounced positive clustering. Finally, the strength of spatial autocorrelation patterns has increased post-COVID-19 Pandemic for total reported frauds, percentage of frauds reporting a loss and total losses, and it has reduced for the median loss.

The sustained spatial autocorrelation in total losses underscores an elevated interconnectedness in economic and social dynamics among neighboring states. This implies that states in close proximity are predisposed to exhibit analogous levels of total and median losses. This reveals a discernible pattern in the distribution of total losses across contiguous US states, even though the values of total reported frauds and total losses variables were adjusted based on the state population.

The findings furnish valuable insights for policymakers, consumer protection agencies, federal and local government agencies and law enforcement agencies, offering a nuanced understanding and targeted interventions to address the spatial dimensions of CFF effectively. The increase in the strength of the spatial dependencies following COVID-19 shows the increased importance of considering spatial dependencies when designing policies and activities to combat CFF activities. The sustained spatial autocorrelation in total losses underscores an elevated interconnectedness in economic and social dynamics among neighboring states. States in close proximity are predisposed to exhibit analogous levels of total and median losses. This finding reveals a discernible pattern in the distribution of total losses across contiguous US states. To account for state size, the total number of reported frauds and total monetary losses variables were adjusted based on the state's population.

The study provides empirical evidence for spatial autocorrelation for CFF patterns across the states within the contiguous USA. The work shows that adopting a spatial approach to studying CFF offers a promising area for future research.

The contemporary landscape of supply chains necessitates a comprehensive integration of multiple components encompassing production, distribution and customer engagement. The pursuit of supply chain harmony underscores the significance of pricing strategies within the framework of dual-channel distribution, particularly when confronted with the dynamics of asymmetric demand performance.

This paper delves into a nuanced decision-making challenge anchored in a dual-channel distribution context featuring a retailer and two distinct products. Notably, the retailer’s decision-making process employs the computational framework of dual grey numbers, a robust tool for handling uncertainty.

This study revolves around applying game theory to manufacturers. Each manufacturer presents its aggregated price proposition to the retailer. Subsequently, the retailer identifies the optimal pricing configuration among the manufacturers' aggregate prices while adhering to constraints such as spatial classification and inventory costs. This article’s contribution extends to delineating the retailer’s capacity to discern the influence of product market potential and the aggregate product cost on the overall demand.

The model’s innovation lies in its harmonious fusion of spatial classification, pricing strategies and inventory control. Notably, this novel integration provides a platform for unraveling the intricate interplay between non-symmetric market potential, production costs and cross-sensitivity. The investigation is underscored by the utilization of the double interval grey numbers, a powerful computational approach that accommodates the inherent uncertainty pervasive in the domain. This study fills a gap in the existing literature by offering an integrated framework unifying spatial allocation, pricing decisions and inventory optimization.

The study examines how the interactions among three prominent institutional logics—state, market and religion—fundamentally shape the patterns of individuals’ engagement in social entrepreneurship (SE).

The study develops a configurational theoretical framework and uses fuzzy-set qualitative comparative analysis to test the hypotheses by gathering data on social ventures from 35 countries from the World Values Survey and Global Entrepreneurship Monitor.

The results show that the prevalence of social entrepreneurial ventures is enabled by different combinations of logics of action, governance mechanisms, strength of religious beliefs and religious pluralism.

This research reveals that the relationship between institutional logic profiles and SE is contingent on the coherence between different institutional logics.