Hasil untuk "Management information systems"

Yogesh K. Dwivedi, D. L. Hughes, Crispin R. Coombs et al.

Abstract The COVID-19 pandemic has forced many organisations to undergo significant transformation, rethinking key elements of their business processes and use of technology to maintain operations whilst adhering to a changing landscape of guidelines and new procedures. This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective. The views of 12 invited subject experts are collated and analysed where each articulate their individual perspectives relating to: online learning, digital strategy, artificial intelligence, information management, social interaction, cyber security, big data, blockchain, privacy, mobile technology and strategy through the lens of the current crisis and impact on these specific areas. The expert perspectives offer timely insight to the range of topics, identifying key issues and recommendations for theory and practice.

J. Pickering, J. King, J. Walsh et al.

J. Thong

S. Aronoff

M. Yi, Yujong Hwang

Wil M.P. van der Aalst, K. V. Hee

J. C. Brancheau, James C. Wetherbe

Maice Costa, M. Codreanu, A. Ephremides

We consider a communication system in which status updates arrive at a source node, and should be transmitted through a network to the intended destination node. The status updates are samples of a random process under observation, transmitted as packets, which also contain the time stamp to identify when the sample was generated. The age of the information available to the destination node is the time elapsed, since the last received update was generated. In this paper, we model the source-destination link using the queuing theory, and we assume that the time it takes to successfully transmit a packet to the destination is an exponentially distributed service time. We analyze the age of information in the case that the source node has the capability to manage the arriving samples, possibly discarding packets in order to avoid wasting network resources with the transmission of stale information. In addition to characterizing the average age, we propose a new metric, called peak age, which provides information about the maximum value of the age, achieved immediately before receiving an update.

Ao Lei, H. Cruickshank, Yue Cao et al.

R. Anthony, V. Govindarajan

In the current business context, characterized by uncertainty and constant innovation, management control systems may have a prominent role in organizations' success because they can contribute to decision making based on more credible and personalized available information on the origins of both value creation and value destruction. This chapter is about the importance of management control systems to achieve business success and intends to give an insight into the potential contribution of management control instruments to a more effective response to the current challenges of the competitive context and, consequently, to business success.

Gang Lu, Junmin Wan, Lijing Du et al.

Abstract Effective inventory replenishment and routing are crucial for minimizing supply chain costs and enhancing operational efficiency. In this paper, we focus on the integrated optimization of inventory replenishment and routing problems in Vendor Managed Inventory (VMI) mode and further propose an enhanced Multi-Task Proximal Policy Optimization (MTPPO) with deep reinforcement learning. The proposed model refines inventory replenishment strategies by learning from inventory status and retailer location data. Routing strategies are optimized by utilizing a Graph Isomorphism Network (GIN) to analyze the network data of retailers and formulate routing strategies based on delivery requirements and retailer network information. By jointly optimizing inventory and routing problems, the total cost is reduced. Further, experimental results demonstrate that the MTPPO outperforms heuristic algorithms, reducing inventory costs by 8.58% and total costs by 6.18%.

Jacques, Gunawang Wang

The The rapid development of educational technology has encouraged the integration of gamification into online learning to enhance students’ motivation and engagement. However, its utilization has not been supported by a comprehensive understanding of the factors influencing users’ intention to adopt it, particularly regarding user experience complaints. This study aims to analyze the key factors influencing students’ intention to use the AdaptoX gamification feature on the online learning platform Ruangguru.This study employed a quantitative approach with a survey design, adopting the Technology Acceptance Model (TAM) framework extended with perceived enjoyment, social influence, and hedonic motivation variables. Data were collected through structured questionnaires and analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS 4 software. The results indicate that perceived ease of use, perceived usefulness, perceived enjoyment, hedonic motivation, and attitude significantly influence the intention to use gamification features, while social influence does not show a significant effect. The findings reveal that usage intention is more influenced by personal experience and intrinsic value than by social pressure. The success of gamification adoption depends on usability, ease of use, and enjoyable learning experiences. This study emphasizes the importance of developing gamification features that focus on user experience, intrinsic motivation, and ease of use to enhance online learning adoption.

Artem Bezuglyi, Bohdan Stasiuk, Nataliia Mudrychenko et al.

Introduction. Effective functioning of road transport is only possible when the quantitative growth, quality level, and technical condition of roads meet the demands of road transport. This combination of road network characteristics can only be achieved with adequate funding to implement all planned works. Investments in road infrastructure can become a catalyst for economic recovery and growth, as they will improve logistics capabilities, reduce freight and passenger transportation costs, and enhance regional competitiveness. Problem Statement. In the first decades of independence, the road industry faced chronic underfunding, which negatively affected its development. The situation worsened with the full-scale military aggression of the Russian Federation in 2024. According to the World Bank's “Rapid Damage and Needs Assessment (RDNA3)” report, post-war recovery needs for public roads and bridges alone are estimated at around USD 28.8 billion. For the rapid and quality restoration and development of Ukraine, this issue is critically important, as the state of the roads affects transportation costs, prices, employment levels, and the overall pace of economic development. Furthermore, the full-scale invasion by the Russian Federation raises questions about ensuring reliable logistics routes, prompt transportation of humanitarian aid, and the country's defense capabilities. Objective. The aim of this research is to determine the key principles for socio-economic evaluation of state-level programmatic documents to improve road management efficiency. Materials and Methods. The article uses a systematic (comprehensive) approach, which represents a set of general scientific methodological principles (requirements) based on considering objects as systems. A priority in this process is ensuring an adequate level of data objectivity, timeliness, and the relevance of processed information. In addition, the article applies methods of comprehensive and systemic analysis, abstract-logical, graphical, statistical, computational-design, comparative analysis, and expert assessments. Results. A mathematical calculation was obtained for assessing the effectiveness of the State Targeted Economic Program for the Development of Public Roads of National Importance for 2018-2023.

Alexander A. Solovyov , Tatyana A. Dugina , Svetlana E. Karpushova et al.

The article aims to determine the possibilities of product quality management in industry 4.0 based on digital institutions. Based on international experience for 2022, the authors applied the regression analysis method to compile an econometric model that proves that ensuring digital competitiveness requires state and public management of product quality in industry 4.0 with the help of digital institutions. It has also been proved that digital competitiveness in local and global markets is determined by different institutions. The theoretical significance of the authors’ conclusions is that they have formed a new institutional understanding of product quality in industry 4.0. The contribution of the article to the literature consists in the development of the scientific provisions of the TQM concept through the formation of a new, broad understanding of the quality of Industry 4.0 products in the unity of the completeness of the manufacturer’s technical capabilities and the perceived value and usefulness of this product, as well as through a reconsideration of the approach to measuring and managing the quality of products industry 4.0 in order to strengthen their digital competitiveness in accordance with the new understanding of quality. The practical significance of the article is related to the fact that the monitoring has revealed a favorable institutional environment for quality management of products in industry 4.0 in Russia. The institutional perspective of improving the product quality of industry 4.0 in Russia has also been opened up. The managerial significance is expressed in the fact that the developed institutional approach to product quality management in industry 4.0 will improve the efficiency of this management and ensure a more complete capacity utilization of medium- and high-tech industries, as well as an increase in the export of their products. The proposed approach can be applied in any country of the world, as it has been developed taking into account a broad analysis of international experience.

Gaolei LI, Jianhua LI, Zhihong ZHOU, Hao ZHANG

The construction of new critical infrastructure, represented by high-speed full-time signal coverage, intelligent and fine-grained urban management, and deep space and deep sea scientific innovation experimental fields, has entered a new stage with the deep integration and development of new technologies such as 5G/6G, artificial intelligence, and blockchain in various fields.The security evaluation of cryptography applications, as a key technological resource for ensuring the security of national information, integration, and innovation infrastructure, has risen to the level of international law and national development strategy.It is urgent to construct a comprehensive, fine-grained, and self-evolving cryptography security evaluation system throughout the data lifecycle.The typical APT attacks and ransomware attacks faced by new critical infrastructure in industries such as energy, medicine, and transportation in recent years were considered.And then the growing demand for security evaluation of cryptography applications was analyzed in the face of new business requirements such as preventing endogenous data security risks, achieving differentiated privacy protection, and supporting authenticated attack traceability.The new challenges were also examined, which were brought by new information infrastructure (including big data, 5G communication, fundamental software, etc.), integration infrastructure (including intelligent connected vehicles, intelligent connected industrial control systems, etc.), and innovation infrastructure (including big data, artificial intelligence, blockchain, etc.) to the security evaluation of cryptography applications.Furthermore, the new requirements were revealed about domestically produced cryptography algorithms and protocols deployed on high-performance computing chips, ultra-high-speed communication modules, and large-capacity storage media for cryptography application security evaluation technology.Finally, the development of automated and intelligent cryptography application security evaluation technology was explored.

Chia-Chen Chen, Hong-Ren Chen, Ting-Yu Wang

Many elementary school students find astronomical knowledge difficult to attain. Students cannot observe planetary motion in the universe, which makes the construction of astronomical knowledge abstract and incomprehensible for many students. To cope with this dilemma, this study proposed creative situated learning via augmented reality (AR) and developed an AR-based Cosmos Planet Go App to simulate the motion of planets in the universe. This allowed students to understand the characteristics and features of each planet through its simulated motion in the universe. This study adopted a quasi-experimental method and the qualitative analysis to conduct experiments on teaching astronomy in an elementary school in central Taiwan. The control group students were taught using traditional classroom narrative teaching, and the experimental group students were taught using the AR-based Cosmos Planet Go App. The results showed that students who learned with the use of the AR-based Cosmos Planet Go App performed significantly better than the control students on measures of learning effectiveness, learning motivation, and flow experience. Moreover, learning engagement, which occurs when students can use multiple perspectives to solve problems, is the most important element for evaluating the AR-learning environment in creative situations. This study extended the research field of digital technology-assisted learning to the discussion of integrated creative learning environment, which can be used as the basis and reference for scholars’ research.

Udit Agarwal, Vinay Rishiwal, Sudeep Tanwar et al.

Supply chain management (SCM) is a core corporate activity responsible for moving commodities and services from one point to another through a variety of stakeholders. The traditional SCM is based on a centralized approach managed at the central headquarter, and all other sub-offices get instructions from the main office. Some major issues with present SCM systems are security, transactional transparency, traceability, stakeholder involvement, product counterfeiting, additional delays, fraud, and instabilities. Blockchain (BC) emerges as a technology that can manage the data and build trust efficiently and transparently. It can also aid in transaction authorization and verification in the supply chain or payments without a third party. To address the present SCM issues, BC technology is a feasible solution. Motivated by the aforementioned considerations, in this paper, we present a survey on the adoption of BC in SCM. This paper undertakes a comprehensive analysis of the literature on BC characteristics, implementations, and business consequences in various SCM. This Blockchain-centered study, in particular, discloses the research state and delineates future research directions by studying and analyzing 97 up-to-date publications highlighting BC’s supply chain uses. Transparency and traceability, information sharing, product anti-counterfeiting, and building trust are the major aspects propelling BC’s implementation in SCM. Further, we analyzed various applications of SCM in which BC can be used as a probable technology to secure all transactions. Then, we have highlighted open issues and research challenges for adopting BC technology in SCM that open the doors for beginners eager to start work in this amazing area.

R. Pulwarty, M. Sivakumar

Abstract Drought is among the most damaging, and least understood, of all “natural” hazards. Although some droughts last a single season and affect only small areas, the instrumental and paleoclimate records show that droughts have sometimes continued for decades and have impacted millions of square kilometers in North America, West Africa, and East Asia. To cross the spectrum of potential drivers and impacts, drought information systems have multiple sub-systems which include an integrated risk assessment, communication and decision support system of which early warning is a central component and output. An early warning system is much more than a forecast – it is a linked risk information (including people׳s perception of risk) and communication system that actively engages communities involved in preparedness. There are numerous drought systems warning systems being implemented at different scales of governance. We draw on the lessons of over 21 drought early warning systems around the world, in both developing and developed countries and at regional, national and community levels. The successes illustrate that effective early warning depends upon a multi-sectoral and interdisciplinary collaboration among all concerned actors at each stage in the warning process from monitoring to response and evaluation. However, the links between the community-based approach and the national and global EWSs are relatively weak. Using the rich experience of information systems across the globe, this paper identifies pathways for knowledge management and action at the relevant scales for decision-making in response to a changing climate.

Elias Hatem, Sara Abou-Chakra, Elizabeth Colin et al.

Indoor localization has recently witnessed an increase in interest due to its wide range of potential services. Further, the location information is very important in many applications, such as the Internet of Things, logistics, library management and so on. Hence, different technologies and techniques have been proposed in the literature for indoor localization systems. Most of these systems present the disadvantages of a poor performance, low accuracy and high cost. However, thanks to its low cost, high accuracy and non-line-of-sight detection, radio frequency identification (RFID)-based localization has increasingly become the most used technology for indoor localization. In this paper, we propose an innovative approach based on the multiple input single output (MISO) protocol to improve the accuracy of a low-cost RFID localization system. Whereas most traditional systems use a single tag for localization, the proposed architecture encourages the use of a group of RFID tags named as a constellation. According to experimental results and based on the signals’ diversity, the location accuracy is improved to get an estimated position error of 81 cm at the cumulative distribution function of 90%.

João Vidal de Carvalho, Á. Rocha, António Abreu