Lili Adi Wibowo, Sherly Aulia Nurizky, Puspo Dewi Dirgantari
et al.
Purpose – This study aims to obtain an overview and analyze the influence of contextual advertising on e-engagement with Content Relevance as a mediating variable on Kienka Official Instagram followers.
Design/methodology/approach – This research is descriptive and verification with a quantitative approach. The sampling technique uses simple random sampling with 348 respondents. Data is processed statistically using the Structural Equation Modeling (SEM) method with the help of the AMOS for Windows program.
Findings – The study results indicate that contextual advertising positively and significantly influences e-engagement with Content Relevance as a mediating variable. The magnitude of the critical ratio value that is greater than the minimum value indicates a significant influence simultaneously. The better the company pays attention to contextual advertising through Content Relevance, the higher the e-engagement produced. The dimension of contextual advertising with the highest contribution in forming e-engagement is effectiveness, while the lowest is visual experience. Meanwhile, the dimension of Content Relevance that contributes the most to increasing e-engagement is dynamism activity, while the lowest is topical relevance.
Research limitations/implications – This study only focuses on Kienka Official Instagram followers so the results may not be generalizable to other platforms or industries. Further studies can explore additional factors that influence e-engagement and test the research model on different types of digital platforms and different business sectors.
Practical implications – The results of this study provide insight for companies in optimizing contextual advertising and Content Relevance strategies to increase e-engagement. Companies are advised to emphasize the effectiveness aspect in contextual advertising and strengthen dynamism activity in Content Relevance to increase audience interaction more effectively.
Originality/value – This study provides a new contribution by revealing the role of Content Relevance as a mediator in the relationship between contextual advertising and e-engagement. The results can be a reference for academics and practitioners in developing more effective digital marketing strategies based on contextual advertising and Content Relevance.
Production management. Operations management, Management. Industrial management
Dusan Schreiber, Bruna Haubert, Cristiane Froehlich
et al.
A indústria de móveis representa uma atividade econômica tradicional com relevante impacto ambiental, caracterizada também pelo ritmo lento na adoção de tecnologias avançadas. A literatura científica aponta que diversas tecnologias da indústria 4.0 podem contribuir para maior eficiência produtiva e mitigação do impacto ambiental. Este estudo teve como objetivo verificar as contribuições da adoção do Big Data no processo de fabricação de móveis para mitigar o impacto ambiental. Além do estudo de caso único, utilizou-se abordagem qualitativa e coleta de dados por entrevistas com dez profissionais, observação participante e levantamento documental. Os resultados mostraram que a empresa adota o Big Data tanto para maior eficiência produtiva quanto para mitigar impactos ambientais, melhorando o controle da matriz energética, consumo de insumos e evitando/reduzindo retrabalho, controlando a movimentação interna e otimizando o espaço de armazenamento. Algumas aplicações da tecnologia foram consideradas viáveis tecnicamente, mas não economicamente, como no controle de consumo de água e efluentes, bem como na gestão de embalagens de polímero, reforçando a necessidade de registro sistemático de custos envolvidos para respaldar as decisões gerenciais.
Production management. Operations management, Production capacity. Manufacturing capacity
Krenický Tibor, Dyadyura Kostiantyn, Kokhan Olexandr
et al.
The work is devoted to the processes of heat and mass transfer in moving and stationary dense layers of dispersed materials. One and two-component models of heat and mass transfer in a layer with internal heat sources caused by chemical and phase transformations in the presence of submerged heat exchange processes are given. A review of the literature showed that for a layer containing heat sources, not only information on these parameters is missing, but also methods for their determination. This paper describes the theoretical basis that forms the analytical dependencies of such methods. Satisfactory qualitative and quantitative agreement between experimental and calculated data indicates that the models accurately describe the main patterns of heat transfer in a blown layer with submerged heat transfer surfaces. The research results showed that when calculating temperature fields, reliable information is needed on the heat transfer coefficients of the layer and its components.
Compendium Manager is a command-line tool written in Python to automate the provisioning, launch, and evaluation of bioinformatics pipelines. Although workflow management tools such as Snakemake and Nextflow enable users to automate the processing of samples within a single sequencing project, integrating many datasets in bulk requires launching and monitoring hundreds or thousands of pipelines. We present the Compendium Manager, a lightweight command-line tool to enable launching and monitoring analysis pipelines at scale. The tool can gauge progress through a list of projects, load results into a shared database, and record detailed processing metrics for later evaluation and reproducibility.
Matteo Cercola, Nicola Gatti, Pedro Huertas Leyva
et al.
Effective traffic incident management is essential for ensuring safety, minimizing congestion, and reducing response times in emergency situations. Traditional highway incident management relies heavily on radio room operators, who must make rapid, informed decisions in high-stakes environments. This paper proposes an innovative solution to support and enhance these decisions by integrating Large Language Models (LLMs) into a decision-support system for traffic incident management. We introduce two approaches: (1) an LLM + Optimization hybrid that leverages both the flexibility of natural language interaction and the robustness of optimization techniques, and (2) a Full LLM approach that autonomously generates decisions using only LLM capabilities. We tested our solutions using historical event data from Autostrade per l'Italia. Experimental results indicate that while both approaches show promise, the LLM + Optimization solution demonstrates superior reliability, making it particularly suited to critical applications where consistency and accuracy are paramount. This research highlights the potential for LLMs to transform highway incident management by enabling accessible, data-driven decision-making support.
Nowadays, environmental protection has become a global consensus. At the same time, with the rapid development of science and technology, urbanisation has become a phenomenon that has become the norm. Therefore, the urban greening management system is an essential component in protecting the urban environment. The system utilises a transparent management process known as" monitoring - early warning - response - optimisation," which enhances the tracking of greening resources, streamlines maintenance scheduling, and encourages employee involvement in planning. Designed with a microservice architecture, the system can improve the utilisation of greening resources by 30%, increase citizen satisfaction by 20%, and support carbon neutrality objectives, ultimately making urban governance more intelligent and focused on the community. The Happy City Greening Management System effectively manages gardeners, trees, flowers, and green spaces. It comprises modules for gardener management, purchase and supplier management, tree and flower management, and maintenance planning. Its automation feature allows for real-time updates of greening data, thereby enhancing decision-making. The system is built using Java for the backend and MySQL for data storage, complemented by a user-friendly frontend designed with the Vue framework. Additionally, it leverages features from the Spring Boot framework to enhance maintainability and scalability.
Can technology and operations enable the world to achieve various United Nation Sustainable Development Goals? I provide my own perspective on this question by focusing on the issue of gender equality through the lens of “women's economic empowerment.” To do so, I use case examples to describe how innovative operations enabled by technologies (mobile phones/online platforms, solar technology, blockchain/AI, and Internet of Things) can empower women to alleviate poverty, reduce hunger by improving health, increase access to clean water and sanitation, increase access to education and decent work. Then I share some ideas for Operations Management researchers to consider so that we can explore and develop ways to close the “gender gap.”
Purpose: The net profit in economic enterprises is the result of financial and economic investment activities. These activities may be affected by internal and external environmental factors. In this research, the effect of macroeconomic variables on the profitability of Omid Taban Energy Management Company, as one of the large and active companies in the country's energy industry, has been investigated based on the company's financial statements from 2017 to 2021. This is done with the system dynamics method. Firstly, we present the current state of the variables of the economic environment of companies in the field of electricity industry, the theoretical foundations and the literature on the analysis of the profit mechanism of the economic company as well as the methodology of system dynamics. After that, the system dynamics model of the company's profitability is simulated in a basic scenario with the continuation of the existing situation and under several other scenarios. The method of system dynamics proposed by Forster is used, and the model presented in the ithink software is simulated, thus examining the possibility of using the concept of system dynamics in the financial system and modeling a real scenario.Methodology: In this research, the basics of the dynamics method have been matched with the principles of accounting, in addition to providing a new model for financial events. The capabilities of the proposed research method can be used for modeling and simulating financial processes. In this section, the simultaneous modeling of the cost and revenue parts of the company and their effects on each other are discussed. Finally, with the help of the dynamic model in an integrated and dynamic manner and by considering scenarios for exogenous variables, the effects of macro variables on the profit function of the company are evaluated. The model of the company's dynamic system profitability developed in this research consists of five independent and interrelated parts. They include net profit, assets, liabilities and obligations, macroeconomic variables and financial ratios.Results and discussion: The simulation of the model in the basic state shows that, according to the items listed in the company's profit and the loss statement in 2015, the company's net profit is equal to 809,448 million Rials and about 11,299,897 million Rials in 2014. Also, by applying a 10% inflation shock in the economy, the net profit will reach 16,160,970 million Rials. According to the results, assuming a 10% gas price shock, the net profit in 2021 was 11,167,581 million. With a 10% electricity price shock, the net profit was equal to 15,217,118 million Rials. Assuming a 10% energy price shock, the net profit in 2021 would be 14,092,176 million Rials. Therefore, it can be concluded that, with the increase in the price of energy, the increase in the company's income due to the increase in the price of electricity is greater than the increase in the cost of electricity production due to the increase in the price of gas. As a result, the profit of the company increases. In general, according to the modeling done, among the investigated variables, inflation seems to has had a more positive effect on the profitability of Omid Tabanhor Energy Management Company than the other variables because the rate of return on the company's assets grows more than the company's expenses.Conclusions and policy implications: The results of the study showed that inflation and the increase in energy prices have a positive relationship with the profitability of the company, but the exchange rate has no significant relationship. Also, the results of the simulation of the key variables of the study showed that the proposed method, i.e. modeling financial operations based on a dynamic approach, can help managers to analyze the effect of variables based on behavioral patterns by simulating the trend of variables in future periods. It can also achieve useful information by simulating behavior financial variables in the future.
R. F. de Macêdo, R. F. de Macêdo, R. C. M. Alves
et al.
Sustainable Forest Management (SFM) plans are distributed across 2% of the Brazilian Legal Amazon (BLA) territory. Although these enterprises are authorized through the national system (Sinaflor), there is a lack of a computational platform capable of processing, analyzing, and correlating monitoring data from remote sensing techniques with the production data declared in the system. By combining multi-attribute decision-making (MADM) methods with geographic information system (GIS) data and DETEX satellite image Linear Spectral Mixture Model (LSMM) processing on Google Earth Engine (GEE), we developed a semi-automatic system that calculates an Environmental Pressure Index (EPI). This index, composed of categories of cost and benefit indicators, measures the environmental impacts of SFM operations and the surrounding land use and land cover (LULC) dynamics that can externally stress these enterprises. To test this framework, we evaluated 15 SFMs in operation between 2022 and 2023 in the highly environmentally stressed AMACRO region of the BLA. The evaluation was performed in three tiers, proving that cost indicators developed to measure environmental impacts caused by SFMs are more consistent for the selection of enterprises to be audited than LULC dynamics indicators, as they combine planned and declared production data with the classification of intervention shown by DETEX images. The developed semi-automatic system have the potential to be used by environmental agencies as a decision-making tool for selecting SFMs to be audited, as it provides a quantitative approach based on index calculations and can be easily adapted for specific auditing purposes.
Hannaneh Abhkiz, Mohammad Hassan Shaki, Ramezan Gholami Avati
Abstract
The aim of this research was to present a competitive advantage model with a leadership approach in the Iranian aviation industry. The present research is a mixed exploratory research. In this research, data was collected and research questions were examined using interview and questionnaire tools. Given that the present research is in two stages (quantitative and qualitative), the relevant population in the qualitative dimension includes experts such as senior managers and consultants of the Civil Aviation Organization of Iran as well as university professors, selected to saturation. In the quantitative dimension, the statistical population includes executive managers, department heads, consultants and employees of the Civil Aviation Organization of Iran, 620 people altogether, of whom 237 were selected by the Morgan table using simple random sampling. Based on the interpretive structural technique (ISM), the results showed that having a suitable network and scope of air, flight and airport services in the country, the possibility of sharing technology for the production of modern aircraft, the technical and technological capabilities of the industry for leadership, having a strategic management attitude and capabilities for the industry for leadership, having experience in joint cooperation with international consultants, companies and governments, the desire to lead in government officials and industry decision-makers, commitment to strategic plans in industry managers for leadership, learning, ability to adapt and foresight in the aviation industry for leadership, having skills and expertise in managers and human resources in the industry for leadership, the number and composition of the air transport fleet and having coherent, integrated and strategic marketing and branding plans in the industry have the greatest influence on the competitive advantage for leadership among the variables.
Introduction
The aviation industry, as one of the vital pillars of the economic and social development of any country, plays a significant role in facilitating communications, trade, tourism, and the movement of people. In Iran, despite its geographical and strategic potential, this industry faces numerous challenges, including fleet obsolescence, international sanctions, and weak infrastructure. In the meantime, creating and maintaining a sustainable competitive advantage for domestic airlines, especially with a pioneering approach, seems essential (Alavi et al., 2020).
One of the prominent models in the field of competitive advantage is Porter's theory, which introduces three general strategies for gaining competitive advantage (butt et al., 2022): cost leadership, differentiation, and focus. In the meantime, the differentiation strategy by providing unique and high-quality services can be considered as a suitable approach for Iranian airlines. By focusing on the specific needs of customers and providing services that are different from competitors, this strategy can lead to creating a sustainable competitive advantage (Summerville et al., 2020).
On the other hand, according to the theory of first-mover advantage, in many industries, including the aviation industry, where there is the possibility of strategic management of organizational resources in order to be the best, providing innovative specialized services increases efficiency, that is, along with the increase in innovative services, the ability to obtain economies of scale also increases, leading to a reduction in the cost of providing services and, so to speak, being the best in the industry (lo et al., 2020).
One of the most important reasons for the backwardness of the Iranian aviation industry is the lack of development of commercial systems in transportation activities. The lack of a professional commercial aviation system in the aviation industry and the existence of the charter mafia and the black market are one of the major commercial problems in the field of air transportation. However, according to the 1990 diamond porter model, the proper design, application, and implementation of competitive advantage models can bring positive results to the industry, the most important of which are (Summerville et al., 2020): exceptional ability to obtain information from the organization's environment; exceptional ability to respond appropriately to environmental information and challenges; ability to learn quickly and discover new and potential customers; improving the level of business/marketing awareness - which mainly collects and analyzes information from customers, suppliers, etc.; improving the level of awareness of the situation of competitors - which focuses on issues such as pricing policies, substitute services, and competitor development policies; improving the level of technological and technical awareness - which deals with basic and applied research, processes, and norms, and the promotion of new technologies for providing services; improving the level of strategic and social awareness - which deals with issues such as laws, financial and tax issues, political and economic issues, and social aspects and human resources. Accordingly, the question arises: What is the competitive advantage model with a leadership approach in the Iranian aviation industry?
Theoretical Framework
Technical and Technological Capabilities and Infrastructure
Technical and technological capabilities are considered to be the main pillars of competitive advantage in the aviation industry. With rapid advances in technology, airlines can increase their productivity, reduce costs, and provide a better experience for passengers. The use of artificial intelligence and Internet of Things systems to optimize flight operations and predict maintenance needs increases efficiency and reduces costs (Awamleh et al., 2021).
Strategic Management and Leadership
Strategic management and leadership play a decisive role in industrial leadership. Strategic planning, optimal resource management, and the organization's ability to learn and adapt to environmental changes are key factors in creating sustainable competitive advantage (Hamadamin et al., 2019). Airlines that have clear and coherent strategies are able to manage costs, increase operational efficiency, and improve their performance in a competitive market.
Human Resources and Skills Development
Highly skilled and specialized human resources are one of the main pillars of industrial leadership. Developing human capital through education, research, and succession planning increases the organization's efficiency and ability to adapt to environmental changes (Alfawaire Alfawaire et al., 2021). Organizations that continuously develop their human resources are able to create sustainable competitive advantage and perform better in a competitive market (Torres et al., 2019).
International Networks, Markets, and Communications
International networks and communications are key factors in creating and maintaining competitive advantage. Active presence in international markets, establishing cooperation with foreign companies and institutions, and adopting internationally oriented approaches increase access to resources, technology, and new markets (Cavusgil et al., 2014). Organizations that have extensive and sustainable relationships with international partners are better able to respond to market changes and global competition.
Infrastructure and organizational resilience
Operational infrastructure and organizational resilience play an important role in maintaining and developing competitive advantage. Investment in modern equipment and technologies, optimal information management, and strategic planning increase organizational efficiency and reduce vulnerability to environmental changes. Organizations with strong infrastructure are able to maintain their performance in adverse conditions and exploit market opportunities (haseeb et al., 2019).
Research Background
Abdulwase et al. (2024) conducted a study titled “The Role of Business Strategy in Creating Competitive Advantage”. The findings showed that business strategy plays a vital role in creating competitive advantage and increasing market share. Also, the organization’s market was affected by a strategy with a desirable quality.
Kashefarzaagh et al. (2024) conducted a study titled “The Effect of the Brand of Islamic Azad University, Electronics Branch on Competitive Advantage with the Mediating Role of Positioning and Market Orientation”. The findings confirmed the effect of audience recognition of the brand on positioning and market orientation and the effect of these two variables on competitive advantage.
Research Methodology
This research is applicable in terms of purpose, and qualitative-quantitative approach. Considering that the present research is in two stages, (quantitative - qualitative), the research community is different in both dimensions; in the qualitative dimension, the relevant community includes experts such as senior managers and consultants of the Civil Aviation Organization of Iran and university professors, selected to saturation; and in the quantitative dimension, the statistical community includes executive managers, department heads, consultants and employees of the Civil Aviation Organization of Iran, totaling 620 people, of which 237 people were selected by the Morgan table using simple random sampling.
Research Findings
The findings of the present study showed that the capabilities of research and development and investment for leadership in the aviation industry, learning, ability to adapt and foresight of the aviation industry for leadership, the possibility (ability) of sharing technology for the production of modern aircraft, management of income and costs in the industry for leadership, having experience in joint cooperation with international consultants, companies and governments, having skills and expertise in managers and human resources in the industry for leadership, forming a comprehensive database (customer, product, service and market) with a high level of safety for the industry, the number and composition of the air transport fleet, the existence of educational and research centers in accordance with international standards for the development and replacement of technical and staff forces in the industry and having coherent, integrated and strategic marketing and branding programs in the industry are at the eighth level of the competitive advantage model with a leadership approach. Also, managerial stability in the industry is at the first level of this model, which interacts with political and economic stability in the country and restrictions on the transfer of specific technology and the import of new aircraft due to sanctions conditions.
Conclusion
The results of the study showed that leadership in the Iranian industry is mainly based on internal and organizational capabilities. Technical capabilities, human resources, strategic management and organizational infrastructure are the basis for creating and maintaining competitive advantage. Unlike some studies that highlight macro-political and economic factors, the present findings showed that long-term success depends more on innovation, organizational skills and the use of technology, which is in line with the research of Teece (2007), Porter (1985), and Awamleh et al. (2021).
The results showed that the breadth and quality of the domestic and international service network play an important role in industry leadership. Awamleh et al. (2021) and Santos et al. (2024) have also shown that an extensive operational network increases productivity and customer satisfaction. The results showed that a competitive position in the global market increases the organization's ability to exploit international opportunities and reduce environmental risks. Porter (1985) and Teece (2007) have also shown that a strong presence in global markets facilitates access to new resources and technologies, and the present findings are consistent with these studie.
The results showed that the development of technical and technological capabilities improves the operational performance and efficiency of the organization and provides the basis for creating competitive advantage. Awamleh et al. (2021) and Santos et al. (2024) have also emphasized that investment in technology and technological infrastructure provides the basis for competitive differentiation and increased productivity, and the present findings are consistent with these studies.
Studies by Hamadamin et al. (2019) and Mahdi et al. (2019) have also emphasized that effective strategic management increases productivity, resource coordination, and rapid response to environmental changes. The results showed that adopting an international approach increases access to new technologies and markets and strengthens the organization in global competition.
Cavusgil et al. (2014) have shown that companies that are internationally oriented have a better ability to exploit opportunities and reduce risks. The results showed that the desire and motivation of government officials and decision makers to lead facilitates the implementation of strategies and creates institutional support.
Research by Mahdi et al. (2019) has also stated that the support of key decision makers for strategic plans facilitates the successful implementation of strategies and the consolidation of competitive advantage. The results showed that the commitment of managers to the implementation of strategic plans causes the continuity of activities and strengthens competitive advantage.
Hamadamin et al. (2019) have shown that the commitment of managers to strategies reduces internal conflict, and increases resource coordination and productivity. The results showed that investment in R&D and innovative capabilities provides the basis for leadership and competitive advantage.
Awamleh et al. (2021) and Santos et al. (2024) have also emphasized that continuous investment in R&D leads to sustainable innovation and strengthening competitive position.
This study examines the consequences of the COVID-19 turbulence on the informativeness of financial reporting. Using data from non-financial public companies in Poland, our evidence documents the evolution of accrual and real earnings management during the pandemic period. We estimate earnings quality with cross-sectional models, observing abnormal accruals, abnormal cash flow from operations, abnormal discretionary expenditures and abnormal production costs. We contribute to the debate on earnings management during financial crises. Specifically, discretionary accruals declined significantly during the crisis. This suggests companies were less eager to inflate earnings via accruals. Polish firms also seemed to be more inclined to adopt the ‘big bath’ strategy to inflate future income. Additionally, the research provides support for predictions that real earnings management gained importance during the turbulence when the total effect of boosting income through real transactions was significant. It suggests that during the COVID-19 crisis companies based their strategies more on the probability of being detected, rather than on the cost of such activities. The study adds to the debate on the qualitative characteristics of earnings as key accounting information and its importance in corporate finance, issues that cannot be overestimated from the perspective of company stakeholders.
The textile and clothing industry intensifies pollution through the production of fast fashion clothes. The increase fast-fashion clothes imports in South Africa has led to the closing of textile factories and consequently resulted in a loss of jobs. Sustainable development is the solution to reducing socio-environmental harm. Sustainable processes and products reportedly create new employment. Fashion design entrepreneurs are often involved and have influence in every supply chain of their business and are thus in one of the best positions to implement sustainable fashion supply chain operations. The aim of this qualitative study was to investigate South African fashion design entrepreneurs’ awareness and practices of sustainable fashion supply chain operations. Participants were selected purposively, and data was collected through semi-structured interviews. The results indicated that majority of the primary participants were aware of sustainable fabrics through personal research. Half of them source and produce sustainable garments on a small scale due to the high price of sustainable fabrics. All of the participants had limited knowledge on sustainable design methods. All the participants save their fabric off-cuts and only half of them is motivated by environmental concern. Furthermore, the results indicated that there is a lack of systems to manage the recycling of fabric cut-off and lack of business management skills. Given that there are few sustainable fashion design entrepreneurs in South Africa, the study recommends the textile and clothing industry leaders especially sustainability practitioners to disseminate knowledge and training across the board on sustainable supply chain operations.
Social sciences (General), Drawing. Design. Illustration
The quality of the data in a dataset can have a substantial impact on the performance of a machine learning model that is trained and/or evaluated using the dataset. Effective dataset management, including tasks such as data cleanup, versioning, access control, dataset transformation, automation, integrity and security, etc., can help improve the efficiency and speed of the machine learning process. Currently, engineers spend a substantial amount of manual effort and time to manage dataset versions or to prepare datasets for machine learning tasks. This disclosure describes a platform to manage and use datasets effectively. The techniques integrate dataset management and dataset transformation mechanisms. A storage engine is described that acts as a source of truth for all data and handles versioning, access control etc. The dataset transformation mechanism is a key part to generate a dataset (snapshot) to serve different purposes. The described techniques can support different workflows, pipelines, or data orchestration needs, e.g., for training and/or evaluation of machine learning models.
A resource leak occurs when a program fails to free some finite resource after it is no longer needed. Such leaks are a significant cause of real-world crashes and performance problems. Recent work proposed an approach to prevent resource leaks based on checking resource management specifications. A resource management specification expresses how the program allocates resources, passes them around, and releases them; it also tracks the ownership relationship between objects and resources, and aliasing relationships between objects. While this specify-and-verify approach has several advantages compared to prior techniques, the need to manually write annotations presents a significant barrier to its practical adoption. This paper presents a novel technique to automatically infer a resource management specification for a program, broadening the applicability of specify-and-check verification for resource leaks. Inference in this domain is challenging because resource management specifications differ significantly in nature from the types that most inference techniques target. Further, for practical effectiveness, we desire a technique that can infer the resource management specification intended by the developer, even in cases when the code does not fully adhere to that specification. We address these challenges through a set of inference rules carefully designed to capture real-world coding patterns, yielding an effective fixed-point-based inference algorithm. We have implemented our inference algorithm in two different systems, targeting programs written in Java and C#. In an experimental evaluation, our technique inferred 85.5% of the annotations that programmers had written manually for the benchmarks. Further, the verifier issued nearly the same rate of false alarms with the manually-written and automatically-inferred annotations.
For many legal operations teams, the management of the contracts and agreements that their organization are negotiating or have been executed is an encompassing and time-consuming task. This has resulted in specialized tools for Contract Lifecycle Management (CLM) have grown steadily in demand over the last decade. Transitioning to such tools can itself be an arduous and costly process and so a logical step would be to augment existing storage solutions. In this paper, we present the analysis of 26 semi-structured interviews with legal operations professionals about their trials and tribulations with using Microsoft SharePoint for contract management. We find that while there is promise, too much of what is needed to be successful requires more technical prowess than might be easily available to those empowered to put it in place.
Long‐term vision depends upon history. Without a knowledge of history, both scholars and scholarship are incomplete. In a companion paper (Singhal & Singhal, 2022), we reviewed the history of technology, knowledge, and manufacturing before the Industrial Revolution, which began around 1760. Here, we continue this history from 1760 on.
Inventory management problems with periodic and controllable resets occur in the context of managing water storage in the developing world and retailing limited-time availability products. In this paper, we consider a set of sequential decision problems in which the decision-maker must not only balance holding and shortage costs but discard all inventory before a fixed number of decision epochs, with the option for an early inventory reset. Finding optimal policies using dynamic programming for these problems is particularly challenging since the resulting value functions are non-convex. Moreover, this structure cannot be easily analyzed using existing extended definitions, such as $K$-convexity. Our key contribution is to present sufficient conditions that ensure the optimal policy has an easily interpretable structure that generalizes the well-known $(s, S)$ policy from the operations literature. Furthermore, we demonstrate that the optimal policy has a four-threshold structure under these rather mild conditions. We then conclude with computational experiments, thereby illustrating the policy structures that can be extracted in several inventory management scenarios.
The reliability and success of any organization such as academic institution rely on its ability to provide secure, accurate and timely data about its operations. Erstwhile managing student information in academic institution was done through paper-based information system, where academic records are documented in several files that are kept in shelves. Several problems are associated with paper-based information system. Managing information through the manual approach require physical exertion to retrieve, alter, and re-file the paper records. These are nonvalue added services results in data inconsistency and redundancy, currently institutions have migrated to web-based student information management system without considering the security architecture of the web portal. This project seeks to ameliorates and secure how information is being managed in Nigeria Police Academy through the development of a secured web-based student information management system, which has a friendly user interface that provides an easy and secure way to manage academic information such as students information, staff information, course registration, course materials and results. This project was developed using Laravel 5.5 PHP Framework to provide a robust secure web-based student information system that is not vulnerable to 2018 OWASP TOP 10 web vulnerabilities.