Implications For Management Research Articles

Environmental Implications of Fly Ash Management and Utilization: A Review of Laws, Policies, and Practices.

In the environmental realm, ‘fly-ash’ refers to the byproduct of burning pulverized coal in thermal power stations. One of India's most resource-intensive and polluting industries, coal-fired power generation, contributes considerably to atmospheric pollution. Public power stations that use coal or lignite to generate energy account for 77% of the nation's total electricity production. This sector is responsible for over 65% of India's total coal use. This study employs a multifaceted approach combining theological, exploratory, analytical, and descriptive methods. It relies on secondary sources from diverse web resources to analyze fly ash's ecological and health impacts, explore utilization methods, and discuss potential legislation to prevent careless disposal. The coal-based power industry has added 32 GW, or over 64% of the new massive capacity, to its operations in the last decade, leading to a rise in coal consumption. There was a greater than 71% increase in annual coal usage, from 367 million tonnes in 2009–10 to almost 629 million tonnes in 2018–19. The increasing usage of coal in India has led to fly ash being one of the country's most significant industrial solid wastes. Fly ash is a residue or byproduct made when coal is burned; it is harmful to both humans and the environment. The problem is particularly acute in India because of the poor calorific value, high ash content, and low grade of the coal used there.

Urban trees left high and dry – Modelling urban trees´ water supply and evapotranspiration under drought

Abstract Long-lasting extreme weather conditions are expected to occur more frequently in the future owing to climate change, as demonstrated by the recent heat waves. In particular, the decrease in precipitation during the summer months had a significant impact on urban tree water availability. Therefore, it is imperative to develop methodologies for determining the available water supply and evaporation rates for urban trees. We mapped data from 49 urban small-leaved linden trees with varying characteristics including groundwater levels, shading situations, tree pit sizes, pavement materials, and sealing ratios. By combining these data with an adapted Penman-Monteith method to calculate evapotranspiration, we simulated the soil water storage and evapotranspiration rates of these trees during the very dry year of 2018 as an example. Model validations were performed using lysimeter and sap-flow studies on Tilia cordata trees in 2022.
During the growing season, most trees experienced water stress on > 85% of the days because of weak precipitation events that failed to refill soil water storage. In contrast, trees with additional water supply through capillary rise reached water stress approximately 45 d later. The model results suggest that many trees will require additional water supply during predicted droughts in the future, which could have significant implications for urban forestry management. This model approach can be used to test and refine future water supply management strategies, making it a useful planning tool for improving the water efficiency of trees in urban areas and blue-green infrastructure.

Challenges of Preparing Students for International Entrepreneurship in the era of Artificial Intelligence

International entrepreneurship competencies in the era of rapidly developing artificial intelligence focus more than earlier on stepping out of one’s comfort zone, asking the right questions, assessing the reliability of information sources, and developing cross-cultural teamwork readiness. The purpose of this research is to prepare students for collaborative learning situations where generative artificial intelligence tools have become widely available. The main research question is: What are the challenges in different types of entrepreneurial team-based action learning projects in the context of artificial intelligence? Learning concepts based on collaborative learning and improving the international networking readiness of students are presented. Practical implications of time zone differences, trust building and conflict management in international teams are analysed based on the experience of X-Culture projects. We compare the opportunities and challenges of applying generative artificial intelligence such as ChatGPT-4, Microsoft Co-pilot and Google Gemini Advanced when developing learners’ own international business ideas to learning from international teamwork to assist foreign start-ups in entering new markets. Gaps in skills to apply human collaboration for critically assessing artificial intelligence summary answers and identifying possible hallucinations when comparing new potential foreign markets were revealed. Artificial intelligence applications can be used to form global student teams based on the similarity of entrepreneurial self-development visions of team members. Still, experimenting with prompts in these applications can also enhance readiness to compare the pros and cons of different international entrepreneurship concepts and intelligent questioning skills for coaching and consulting. Students can chat with AI in a role-playing manner that helps them understand how to manage cultural differences in international entrepreneurship teams. Online action learning driven by tasks of start-ups is an essential tool in the entrepreneurial learning approach that prepares students to understand the value and limitations of generative artificial intelligence tools for international entrepreneurship. This paper contributes to understanding the challenges in action learning of students for international entrepreneurship and ways to overcome these challenges in the era when generative artificial intelligence tools are changing learning and international entrepreneurship practices.

“The Ocean is a Part of Me”: The Importance of Coastal Place Attachment to Well-Being and Implications for Coastal Access Management

Public coastal access is a growing issue in coastal management, particularly as both environmental changes and increased coastal development threaten existing public coastal access points around the country. This has implications both economically and on non-economic factors such as individual and community well-being. Through a mixed-methods case study of coastal users in Rhode Island (n = 200 surveys and n = 29 interviews), this study explores the concept of attachment to coasts as a specific type of place attachment by identifying Coastal Place Attachment (CPA) as a concept, developing a quantitative index to measure CPA, and qualitatively describing the value that coastal attachment brings to well-being. Results show that individuals do have a unique attachment to coastal environments that is not transferable to other natural areas, although it may be generalizable to other coastal areas. We also document how this attachment provides important contributions to psychological, physical, and social well-being. Implications for coastal access management are discussed.

Wild Boar Proves High Tolerance to Human-Caused Disruptions: Management Implications in African Swine Fever Outbreaks.

Currently, African swine fever (ASF), a highly fatal disease has become pervasive, with outbreaks recorded across European countries, leading to preventative measures to restrict wild boar (Sus scrofa L.) movement, and, therefore, keep ASF from spreading. This study aims to detail how specific human activities-defined as "car", "dog", "chainsaw", and "tourism"-affect wild boar behavior, considering the disturbance proximity, and evaluate possible implications for wild boar management in ASF-affected areas. Wild boar behavior was studied using advanced biologging technology. This study tracks and analyzes wild boar movements and behavioral responses to human disturbances. This study utilizes the dead reckoning method to precisely reconstruct the animal movements and evaluate behavioral changes based on proximity to disturbances. The sound of specific human activities was reproduced for telemetered animals from forest roads from different distances. Statistical analyses show that wild boars exhibit increased vigilance and altered movement patterns in response to closer human activity, but only in a small number of cases and with no significantly longer time scale. The relative representation of behaviors after disruption confirmed a high instance of resting behavior (83%). Running was the least observed reaction in only 0.9% of all cases. The remaining reactions were identified as foraging (5.1%), walking (5.0%), standing (2.2%), and other (3.8%). The findings suggest that while human presence and activities do influence wild boar behavior, adherence to movement restrictions and careful management of human activity in ASF-infected areas is not a necessary measure if human movement is limited to forest roads.

Spatial downscaling of global soil texture classes into 30 m images at the province scale

Soil categorical data is an important aspect in soil science because it effectively facilitates communication between policymakers and stakeholders. Furthermore, soil categorical data exceeds single-property data in terms of depth of information and is an essential component of various scientific disciplines such as hydrological, ecological and pollution frameworks. However, datasets containing such information are usually too coarse for local needs and regional policies. In this study, an algorithm was introduced, known as rafikisol, to spatially downscale (to a finer detail/resolution) soil texture classes from 1 km SoilGrids images into 30 m images in three environmentally diverse provinces (Gauteng, KwaZulu-Natal, and the Western Cape) in South Africa. Rafikisol surpassed the performance of another high-resolution soil dataset (Innovative Solutions for Decision Agriculture) by 9% and 27% in Gauteng and the Western Cape, respectively (accuracy ∼75% and ∼72%). Conversely, iSDAsoil outperformed rafikisol by 34% in KwaZulu-Natal (11% accuracy). The spatial soil texture class distribution predicted by rafikisol was considerably different and heavier (clayey) in Gauteng and KwaZulu-Natal but had a similar spatial distribution with lighter (sandy) soil texture in the Western Cape compared to iSDAsoil. With improvements such as the introduction of new sampling techniques, algorithm optimization and the use of expert knowledge, this method has the potential to increase the accuracy of additional modeling frameworks that require high-resolution soil information, especially in data-scarce or resource-constrained regions. This has implications for proper land-use management, affecting aspects ranging from food security and urban expansion to biodiversity.

Rare causes of silver-russell syndrome frequently present with atypical features highlighting important implications for genetic testing and clinical management

Rare causes of silver-russell syndrome frequently present with atypical features highlighting important implications for genetic testing and clinical management

The Ripple Effects of Bullying: Impact on Employees and Their Performance

For strongly securing the employer–employee relationship, it is important to have a desirable and positive working environment. This study investigates the impact of workplace bullying on self-concept, employee cynicism and life satisfaction, which effect employees’ performances. The survey has been conducted through the adaptation of standard tools among 200 employees working in various banks like ICICI and Axis to name a few. The analysis of data will be done through G*power software and SmartPLS4 software to apply structural equation modelling. Results revealed that the relationship between workplace and personal bullying on employee cynicism, self-concept and job performance of employees is significant which effect the employee’s satisfaction with life. It develops the turnover intention among employees. This study has very strong and valid implications for management for the employees of the banking sector. It will help in energizing and motivating their workforce more towards effective performances, which will make their well-being stronger. It will be effectively helpful in maintaining a productive working environment by prioritizing their daily role at the workplace. This study validates the relationship among the variables used in the study. It invites more research from a different perspective to identify the impact in understanding the role of workplace bullying which creates deviance among employees.

Acoustic telemetry captures the full annual migration of alewife between Chesapeake Bay and the Gulf of Maine

Anadromous fish are declining at a global scale, and a more holistic approach to management is needed that addresses threats across their freshwater, estuarine, and ocean habitats. In this study, we used acoustic telemetry to track adult alewife Alosa pseudoharengus in Chesapeake Bay, USA, to evaluate, for the first time, habitat use throughout the entire annual migration cycle. Fifty adult alewife were tagged in the Choptank River, Maryland, in spring 2022, and detection data were obtained via collaborative acoustic telemetry networks along the Eastern Seaboard of the USA and Canada. Water temperature data were also collected using data loggers in the Choptank River and from satellite measurements of sea surface temperature in Chesapeake Bay and the ocean. In total, 48 tags (96%) were detected at least once, 14 tagged fish (28%) were detected in the ocean migrating north to the Gulf of Maine and Bay of Fundy, and 5 tagged fish (10%) returned to the Choptank River in spring 2023. With few exceptions, tagged fish were detected at temperatures of 7-16°C across all habitats (river to ocean and back). Alewife made extensive use of tidal and non-tidal portions of the Choptank River during spring, migrated to summer habitats that are experiencing rapid warming, and passed through areas of high incidental catch on both the outgoing and return migration. This study highlights how acoustic telemetry can refine our understanding of river-specific migrations of anadromous fish and the management implications of their movements in regions with collaborative acoustic telemetry networks.

Osmoregulatory Capacity and Non-Specific Food Preferences as Strengths Contributing to the Invasive Success of the Signal Crayfish Pacifastacus leniusculus: Management Implications

Osmoregulatory Capacity and Non-Specific Food Preferences as Strengths Contributing to the Invasive Success of the Signal Crayfish Pacifastacus leniusculus: Management Implications

Impacts of generative AI on user contributions: evidence from a coding Q &A platform

AbstractThis study investigates the short-term impact of generative AI, exemplified by the introduction of ChatGPT, on user contributions in a coding Q&A platform. We find that the introduction of ChatGPT led to a reduction in the number of high-quality answers provided by users, particularly among highly engaged contributors, despite an overall increase in answers. We identify two key mechanisms: (1) increased perceived question sophistication despite no actual change in content and (2) reduced motivation of loyal users in providing answers in the face of AI-generated alternatives. The findings suggest that while generative AI can facilitate value creation on user-generated content (UGC) platforms, it also poses challenges in retaining core contributors and managing content quality. The paper contributes to the literature on the impact of AI adoption on platforms and suggests practical implications for UGC platform management, such as the need for AI content disclosure measures to retain engaged users.

Leveraging IoT for Enhanced Supply Chain Management in Manufacturing

Information Technology especially through use of the Internet of Things (IoT) bring significant change to the manufacturing supply chain in terms of efficiency, visibility and responsiveness. This paper aims to assess the position of IoT with reference to contemporary manufacture; with regard to its advantages and the issues with its implementation. This paper aims to review IoT applications which foster supply chain management improvement through the identification of real time tracking, predictive maintenance, and data analysis. Furthermore, the paper discusses the technical, organizational, and security issues are described that manufacturers encounter while implementing IoT with the current systems. Introducing future trends of the IoT and its implication for supply chain management, the prospects for evolution are described and envisioned. This work supports the centrality of IoT architectures vital for manufacturers in today’s globalized market where unpredictability breaches financial plans. Lastly, the implemented research findings on how IoT can be effectively incorporated in SCM are discussed followed by a proposal on future research.

Identifying the most effective climate parameters on crop yield in rain-fed agriculture and irrigated farming in Iran

Agriculture is an industry that has been traditionally used in Iran to meet people's daily nutritional needs. Since crops are affected by climate change, finding the best location to grow crops will improve crop yields. The Geographical Detector Model (GDM) was adopted in this study to measure the effects of four climate parameters, i.e., precipitation, temperature, humidity, and evaporation, in different seasons of the year on the yields of barley, beans, lentils, chickpeas, rapeseed, and wheat across Iran. According to the results showed, the highest crop yields across Iran come from wheat and barley. Furthermore, the yields of most crops are reduced in rain-fed agriculture, as the yield of wheat in rain-fed agriculture decreases by nearly 70% as opposed to irrigated farming. According to the findings, EA, ESU and EW with 24, 22 and 19 percent has more affected to barley. Rising temperatures to more than 26.1 °C can cause a sharp decrease in crop yields, with some crops yielding less than 0.5 tons/ha. The results also showed that wheat thrives more effectively in regions characterized by cold and extremely cold winters, where temperatures ranging from −3.5 to 0.98 yield an average of 3.88 tons per hectare in irrigated agriculture, while rainfed farming shows a recorded figure between 3.6 and 4.7 at 1.08. Provincial assessments indicate that temperature and precipitation are the key factors influencing crop productivity in regions characterized by cooler temperatures and higher rainfall. Specifically, the peak barley yield in irrigated areas was observed with spring rainfall exceeding 153 mm. Conversely, in tropical provinces with limited rainfall, humidity and evaporation emerge as the primary determinants of crop yields. In these regions, the highest barley yields were noted where evaporation levels surpassed 227 mm. Moreover, provinces located on the slopes of the Alborz and Zagros mountains are the best locations for wheat and chickpea cultivation, and the southeastern regions of Iran are not suitable for barley and lentils. The findings of this research have significant implications for water resource management, facilitating the identification of cultivation patterns across diverse climatic conditions and enhancing strategies for crop yield optimization.

A feasibility study on predicting cow calving time over 40 h in advance using heart rate and financial technical indicators

In dairy farming, the uncertainty of cow calving date often imposes waiting costs for days on farmers. Improving the accuracy of calving date prediction would mitigate these costs, specifically before a few days of the event. We monitored and analyzed the heart rate patterns of eight pregnant cows in the days leading up to calving using a dedicated monitoring device. We decomposed the heart rate data into three distinct components: trend, daily cycle, and the remainder, and discovered that the heart rate trend exhibited a sharp decline more than 40 h before the calving event via the trend turning point. To detect the turning point, we applied common financial technical indicators traditionally used to identify turning points of asset prices in trading markets for the extracted heart rate trend. This study remains a feasibility study because of the limited observations, but it indicates that these indicators can effectively capture the trend’s turning point in real time, offering a promising approach for enhanced calving prediction. In addition to discussing the practical implications for cow management, we also contemplate the broader utility of these technical indicators in the context of various dynamic scientific data analyses.

Tracheobronchomalacia is common in children with primary ciliary dyskinesia-A case note review.

The estimated prevalence of tracheobronchomalacia (TBM) in children is about 1:2100. Prevalence of intrathoracic malacia is higher in children with chronic lung disease such as bronchiectasis and cystic fibrosis (CF) and may contribute to increased morbidity. To determine the prevalence and assess clinical features of tracheomalacia (TM), TBM and bronchomalacia (BM) in patients with primary ciliary dyskinesia (PCD). We performed a retrospective case-note review of all children with a confirmed or highly likely diagnosis of PCD attending Oslo University Hospital between 2000 and 2021. We selected those who had undergone flexible fiberoptic bronchoscopy (FB) and in whom the presence of TBM was assessed. We retrieved demographic and clinical data, including airway symptoms, PCD-diagnostic criteria, indication for bronchoscopy, the presence of lobar atelectasis, microbiology and the descriptive and unblinded video-recorded results of FB. Complications occurring during and after bronchoscopy were noted. Of 71 children with PCD, 32 underwent FB and were included in the review. The remaining 39 were included for TBM prevalence calculation only. Median age at FB was 6.0 years (3.1-11.9). Twenty-two children (69%) had intrathoracic airway malacia. Four (13%) had isolated TM, seven (22%) had TBM, and 11 (34%) had isolated BM affecting either main (n = 4) or lobar bronchi (n = 7) (LBM), including four with associated lobar atelectasis. FB related complications, one major, 12 minor, were documented in 13 children (41%). We found a high prevalence of TBM among children with PCD undergoing FB. This may represent a significant comorbidity and have implications for patient management.

Application of species distribution models in predicting the distribution of marine macrobenthos.

Species distribution models (SDMs) are valuable tools in predicting species distribution ranges and the suitable habitats, which are based on environmental conditions and species distribution data. These models encompass correlative models, mechanistic models, and mechanistic-correlative models. In the field of marine science, SDMs have been extensively used for predicting the spatial distribution patterns of various marine organisms including fish, mammals, algae, et al. However, the application of SDMs in predicting the distribution of macrobenthos remains scarce. Understanding the distribution of macrobenthos, the integral components of marine ecosystems, has significant implications for ecological conservation and resource management. We reviewed common methodologies employed in SDMs and presented case studies using different models to predict the distribution patterns of marine macrobenthos. Further, we emphasized the use of correlative and mechanistic models to analyze the impact of climate change on the spatial distribution of marine macrobenthos. Finally, we discussed the challenges and prospects associated with SDMs. With the advances in remote sensing technology and modeling techniques, SDMs are becoming increasingly pivotal in marine ecological research, which could offer a robust scientific foundation for addressing climate change and preserving marine biodiversity.

A 4-Month-Old With Jaundice, Lethargy, and Emesis.

Acute liver failure is rare in the neonatal and infant population; however, when encountered, it requires timely diagnosis, management, and identification of the underlying etiology to provide the best clinical outcomes. Here, we present a case of new-onset liver failure in a 4-month-old infant. She had previously been diagnosed with neonatal mucocutaneous herpes simplex virus disease, but had been healthy in the interval, and was referred to our hospital for evaluation of possible need for liver transplantation because of a rapidly progressing pace of disease. In this diagnostic dilemma article, we review the case history and presentation and consider the differential diagnosis from the points of view of the primary and consultative teams. We then follow the clinical evolution of disease, identify a final diagnosis, and explore the short- and long-term management and health implications of the diagnosis. This case should be of interest to primary care providers, intensivists who care for neonates or infants, and specialists who encounter liver failure in their clinical practice.

Cytological Features and Mimickers of Thyroid Gland Sarcomas: A Case-Based Study.

Sarcomas of thyroid glands represent a distinctive subset of rare and perplexing anomaly that present a challenges in the field of thyroid pathology. Thyroid sarcomas, primary or secondary, are exceptionally rare with only a handful of case reports documented so far. The challenges lie in the fact that certain primary thyroid malignancies of epithelial origin may exhibit spindle cell morphology, making them difficult to differentiate from thyroid sarcomas. Despite the morphological similarities, discerning between these entities is crucial due to their distinct treatment and management implications. This report documents a series of unusual types of sarcoma in the thyroid gland. The aim is to explore the peculiarities of these lesions, the diagnostic challenges faced as well to study the potential implications for both clinicians and patients.

Alluvial floodplain gully erosion in dryland rivers – An overlooked source of sediment with implications for river condition and management

Dryland alluvial rivers are naturally complex systems with a range of in-stream and floodplain geomorphic units that provide habitat for aquatic and terrestrial biota. These systems are increasingly threatened by accelerated rates of sedimentation leading to declines in geomorphic complexity, habitat quality, and ponding depth. The implications of sedimentation on waterholes, or deep pools, is of particular concern, as they provide critical refugia in arid environments. However, sources of sediment entering and infilling waterholes, and the flow-on effects for habitat and water quality, are not well understood. This study addresses the potential for sediment derived from alluvial floodplain gullies to influence geomorphic change in dryland rivers. Alluvial floodplain gullies are often overlooked in comparison to more widely documented hillslope, or colluvial, gullies. Alluvial gullying is a prevalent feature of the Barwon-Darling River, one of Australia's longest and most important waterways in the northern Murray-Darling Basin (MDB). The estimated volume of sediment derived from floodplain gullies is 168 million m3, which far exceeds estimates used in past sediment budgets. Gully size and complexity varied from small, linear features to large, complex, branching gullies and the total number of gullies increased by ~40 % from the 1960s to 2000s. However, the more recent episodes of gullying (i.e., post 1960s) are limited to smaller gullies, which are likely to yield less sediment than the side walls of the older, larger, more complex gullies. Based on the average decline in maximum waterhole depth, ~19 million m3 of sediment has accumulated in Barwon-Darling waterholes over the past 120 years (equivalent to ~158,000 m3 a−1). A predictive relationship between gully volume and change in waterhole depth was expected, but not observed. Nevertheless, the role of alluvial floodplain gullies as a significant source of sediment should not be overlooked when assessing dryland river forms and processes. River management should consider the implications of changing sediment sources and in-stream loads, with associated changes in water quality and aquatic habitats, which influence river condition.

Bitcoin, Fintech stocks and Asian Pacific equity markets: a dependence analysis with implications for portfolio management

Bitcoin, Fintech stocks and Asian Pacific equity markets: a dependence analysis with implications for portfolio management