research paper on management information systems

A Review of the Effectiveness of Management Information System in Decision Making

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research paper on management information systems

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1. INTRODUCTION

2. evolution of smis, 3. research hotspots of smis, 4. typical applications of smis, 5. development directions of smis, 6. conclusion, acknowledgments, author contribution statement, smart management information systems (smis): concept, evolution, research hotspots and applications.

Changyong Liang is a Professor of Information Management at the School of Management, Hefei University of Technology, China. He obtained his Ph.D. degree from the Harbin Institute of Technology, China. His research interests lie in the areas of information management and management science, elderly care, etc. His research has been published in journals such as Information & Management, Applied Soft Computing, International Journal of Project Management , and Computers & Industrial Engineering .

Xiaoxiao Wang is a Ph.D. student majoring in Management Science at the School of Management, Hefei University of Technology, China. She obtained her master's degree from Harbin University of Science and Technology and focused on the research topic of management science. Her research interests include information management, supply chain management, and game theory.

Dongxiao Gu is a Professor of Information Management at the School of Management, Hefei University of Technology, China. He obtained his Ph.D. degree from the Hefei University of Technology, China. His research interests lie in the areas of data science and big data technology, digital health, artificial intelligence management and application, etc. His research has been published in journals such as Information & Management, Information Processing & Management, Journal of Medical Internet Research, Artificial Intelligence in Medicine , and International Journal of Production Research .

Pengyu Li graduated from Changchun University of Technology with a B.S. degree in management in 2019. He is a master student at Hefei University of Technology. His current research fields are machine learning, deep learning.

Hui Chen is a master's student at the School of Management, Hefei University of Technology. His current research areas include machine learning, smart elderly care, and bibliometrics.

Zhengfei Xu graduated from Shandong University of Finance and Economics with the B.S. degree in engineering management in 2020. He is a master student at Hefei University of Technology. His current research fields are deep learning, survival analysis and healthcare.

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Changyong Liang , Xiaoxiao Wang , Dongxiao Gu , Pengyu Li , Hui Chen , Zhengfei Xu; Smart Management Information Systems (Smis): Concept, Evolution, Research Hotspots and Applications. Data Intelligence 2023; 5 (4): 857–884. doi: https://doi.org/10.1162/dint_a_00231

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Management information system (MIS), a human-computer system that deeply integrates next-generation information technology and management services, has become the nerve center of society and organizations. With the development of next-generation information technology, MIS has gradually entered the smart period. However, research on smart management information systems (SMIS) is still limited, lacking systematic summarization of its conceptual definition, evolution, research hotspots, and typical applications. Therefore, this paper defines the conceptual characteristics of SMIS, provides an overview of the evolution of SMIS, examines research focus areas using bibliometric methods, and elaborates on typical application practices of SMIS in fields such as health care, elderly care, manufacturing, and transportation. Furthermore, we discuss the future development directions of SMIS in four key areas: smart interaction, smart decisionmaking, efficient resource allocation, and flexible system architecture. These discussions provide guidance and a foundation for the theoretical development and practical application of SMIS.

In 1967, Professor Gordon B. Davis of the University of Minnesota established the discipline of Management Information Systems (hereafter referred to as MIS). In 1985, he and Professor Margrethe H. Olsen defined MIS as an integrated human-computer system that provides information to support organizations’ operations, management, and decision-making [ 1 ]. During the era of economic development dominated by the information industry, the widespread adoption of next-generation information technology has accelerated the growth of the digital economy and brought significant changes to both the organization and society. Consequently, organizations operate in complex and uncertain environments. As a fundamental tool for modern organizational operations, MIS deeply integrates next-generation information technology and management services. Driven by social needs, economic development, and next-generation information technology, MIS has entered a new development period. To cope with the complex and evolving external environment and meet the dynamic needs of users, MIS has gradually shifted towards smart solutions that support organizations in adapting to external changes, integrating internal and external resources, and providing users with personalized solutions.

In this paper, we define MIS in the smart period as Smart Management Information Systems (hereafter referred to as SMIS). SMIS is a human-computer integration system that can dynamically perceive environmental information, deeply analyze the potential needs of users, and provide personalized and scenario-based management services. Based on network communication technology and next-generation information technology, the system continuously acquires massive amounts of heterogeneous data from multiple sources through ongoing interactions with users and the environment. It dynamically identifies users’ behavioral characteristics and personalized needs, extracting knowledge from the accumulated data. Through learning processes, the system strengthens its self-monitoring, self-diagnosis, self-correction, and self-organization capabilities. It autonomously identifies the operational status of the organization, responds to and adapts to the dynamic external environment, and facilitates real-time sharing and coordination of internal resources. Additionally, the system can independently or collaboratively assist the organization in complex activities such as prediction, control, and decision-making, enhancing management services and fostering user value creation within a distributed human-machine collaborative symbiosis system. The system exhibits high agility, flexibility, openness, adaptability, self-organization, non-linearity, emergence, and robust interactivity.

Currently, research on SMIS primarily focuses on integrating next-generation information technology with the management domain. Some studies explore the smart features of MIS and investigate technological approaches to enhance its smart functions [ 2 – 4 ]. Furthermore, Jussupow et al. [ 5 ] and Cheng et al. [ 6 ] examine how SMIS improves management processes and decisions across various domains, such as business, healthcare, and public administration. Moreover, some researchers focus on the enhancement of the smart functions of organizational production and service systems by emerging technologies such as big data and the Internet of Things (IoT), which are used to solve the problems of dynamic perception, smart decision-making, and system agility [ 7 – 9 ]. These researches establish a vital theoretical foundation for the development of SMIS, fostering its smart, integration, and personalization. However, the current research on SMIS is still in the initial stage, lacking a comprehensive overview of the evolution and typical applications of SMIS. Moreover, the research hotspots and future development directions of SMIS are not yet clear.

The remainder of the paper is organized as follows: Section 2 summarizes the evolution of SMIS and analyzes the characteristics of each period. Section 3 utilizes bibliometric methods to summarize and analyze the research hotspots of SMIS in recent years. Section 4 presents notable industry examples to illustrate the application prospects of SMIS. The future research directions for SMIS are summarized in Section 5. Finally, this paper is concluded in Section 6.

MIS has undergone significant development since its origins in scientific computing and transaction processing in the 1970s [ 10 ]. With the widespread application of information technology, MIS has become an indispensable tool in people's work and life, playing a significant role as a nerve center in society and organizations. Under the interaction of computer-related technologies and the development need of enterprises, MIS progresses from the initial period of simple applications to the current period of deep integration. MIS transitions from centralized application systems that perform independent and basic tasks to intelligent and comprehensive service providers, gradually entering the smart period with the advent of next-generation information technology. Figure 1 illustrates the evolution of SMIS.

The evolution of SMIS.

2.1 Start-up Period: 1950s~1970s

The start-up period of MIS can be traced back to the 1950s to the 1970s. In 1954, IBM released the first computer capable of floating-point calculations, which prompted many companies to automate employee payroll calculations and process simple data in batches [ 11 ]. During this period, MIS was based on highlevel programming languages and document management technologies to process departmental data within organizations. This led to the achievement of electronic data processing and the emergence of information systems that could handle repetitive transactions in administration. These systems allow for the management of centralized documents, significantly enhancing the efficiency and accuracy of transaction processing. Furthermore, as the data required for calculations could also be utilized to generate reports for managers, computer-based management information systems become an unintended consequence of the automation of computing operations.

2.2 Development Period: 1970s~1990s

During the 1970s to 1990s, MIS experienced significant development driven by database technology, data communication, and computer networks. This period marks the expansion of MIS from single applications designed for specific positions to interdepartmental applications within enterprises. In 1971, Gorry and Scott-Morton [ 12 ] proposed an MIS framework (refer to Figure 2 ) to identify the types of information required for management at all levels. In this period, MIS forms a distributed, component-based, and service-oriented system technology architecture, and provides managers with integrated services for operations and supervision, decision support services, and other related systems, facilitating the transformation from operational control to management control. As a result, the comprehensiveness, systematicity, and timeliness of management information processing improved. Moreover, MIS that emerged during this period include Material Requirements Planning (MRP), Decision Support Systems (DSS), and Customer Relationship Management (CRM).

The framework of MIS proposed by Gorry and Scott-Morton.

2.3 Popularization Period: 1990s~2010s

At the end of the 20th century, the development of technologies such as the Internet and cloud computing led to the emergence of new applications like e-commerce and social media. This development expands the application scope of MIS beyond the boundaries of enterprises, propelling MIS into a period of globalization and popularization. During this period, the decision support systems evolved to encompass support for group decision-making and embedded artificial intelligence technologies. MIS transitions towards intelligent information systems with enhanced capabilities for knowledge innovation and solving unstructured affairs. These systems achieve integrated information management, a multidimensional service model, and intelligent computer-aided management with human-computer coordination. Gradually, MIS acquires the characteristics of intelligence and self-organization, and provides organizations with integrated services for strategic management and other collaborative system integration [ 13 ]. Figure 3 illustrates an open architecture of cloud-based MIS [ 14 ].

An open architecture of cloud-based MIS.

2.4 Integration Period: 2010s~present

In 2008, IBM proposed the concept of the “Smart Planet,” advocating for the development of wisdom across all industries to enhance the overall knowledge of human society globally [ 15 ]. As a crucial tool for the functioning of contemporary society, the explosive growth of data, the complexity of the external environment, and the diverse and personalized user needs necessitate the evolution of MIS towards the smart period. The next-generation information technology, including mobile Internet, big data, artificial intelligence, and IoT, has enabled advanced smart sensing, interaction, control, collaboration, and decisionmaking. This technological development significantly enhances organizations’ abilities to acquire, process, and apply data resources, providing the technical foundation for the smart development of MIS. SMIS, which is developed on the basis of the intelligent management information system combined with next-generation information technology, can continuously interact with the environment and users and obtain real-time environmental status information and dynamic user needs. It adapts to environmental changes and facilitates cross-domain, cross-organizational, and cross-departmental multi-channel resource sharing and collaborative allocation based on user needs, and makes independent or assisted managerial decisions, which significantly improves organizational management efficiency and decision-making agility. Hence, we propose a distributed SMIS architecture based on the cloud-edge-terminal, as shown in Figure 4 .

The architecture of SMIS.

With the continuous development and application of SMIS, a series of studies on SMIS have been conducted in the academic community. In this paper, we employ bibliometric analysis to analyze the relevant literature on SMIS in recent years. Moreover, we utilize Citespace software to visualize the results and provide valuable insights into the current trends and directions of SMIS research.

3.1 Data Source

This paper is based on the Web of Science repository, specifically the Web of Science Core Collection. The citation indexes selected for this study are the Science Citation Index Expanded and the Social Sciences Citation Index. The publication date range for the literature search is set from January 1, 2010, to May 1, 2023. The following search formula was used: (TS= (“Management Information System*”) OR (TS= (“Information System*”) AND TS=(“Smart”)) OR (TS= (“Information System*”) AND TS=(“Intelligent”)) OR (TS= (“Information System*”) AND TS= (“Big Data”)) OR (TS= (“Information System*”) AND TS= (“Internet of Things”)) OR (TS= (“Information System*”) AND TS= (“Cloud Computing”)) AND DT=(Article) AND LA=(English). We manually exclude the literature records with non-relevant and duplicate topics, and finally collect 4261 relevant literature records.

3.2 Research Hotspots

In this paper, we extract keywords from related literature and use Citespace 6.1 R6 software to reveal the research hotspots of SMIS. The following parameter settings are used in Citespace: Years Per Slice = 1, Node Types = Keyword. Moreover, we choose the critical pathfinder algorithm to simplify the network and highlight key nodes, and merge similar words such as Internet of Things (IoT) and Geographic Information Systems (GIS). Table 1 presents the compilation of the top 20 keywords based on their co-occurrence frequency in related literature. Additionally, Figure 5 illustrates the co-occurrence network of keywords in related literature from 2010 to 2023. These visual representations provide a clear understanding of the research trends and interrelationships among keywords in SMIS.

The keyword co-occurrence mapping of SMIS.

Frequency Ranking Statistics of Top 20 Keywords for the research of SMIS.

Table 1 reveals that the keywords with a high frequency are big data, IoT, information systems, and cloud computing. These keywords are interconnected and belong to next-generation information technology. Big data, IoT, and cloud computing are significant research drivers in SMIS. Information systems serve as the main research focus in the field. This aligns with the objective of this paper, which aims to explore the development of SMIS in the context of next-generation information technology. Furthermore, another category of keywords with high co-occurrence frequency includes machine learning, artificial intelligence, data mining, and deep learning. These keywords represent the technical and methodological aspects of research in SMIS. Figure 5 illustrates that most keywords are interconnected, indicating that published papers in SMIS often cover multiple topics. Combining with Table 1 , we can find that the research content of most of these papers is related to SMIS, mainly using different techniques and methods or applied in different research areas. Additionally, keywords with high co-occurrence frequency, such as geographic information systems, intelligent transportation systems, health information systems, Industry 4.0, and driver information systems, represent the application research fields of SMIS.

In addition, we employ a literature review approach to synthesize the literature related to SMIS over the last three years (2021-2023). The results are shown in Table 2 .

The focus of research related to SMIS from 2021 to 2023.

From Table 2 , we can find that research on SMIS in the last three years has predominantly utilized next-generation information technology, such as big data, IoT, blockchain, and cloud computing. The application areas of SMIS have been explored in various fields, including smart city, smart healthcare, smart manufacturing, smart transportation, and smart information systems. Drawing on the results obtained from the bibliometric analysis, we elaborate on the research hotspots for SMIS in the domains of smart medical management, smart manufacturing management, and smart transportation management.

The first research hotspot is smart healthcare and elderly care management. Researchers have developed IoT-based enterprise health information systems [ 33 ]. Research in medical informatics focuses on data mining and machine learning in the technical dimension, and elderly care in the health service dimension [ 34 ]. In the context of smart healthcare, Gu et al. [ 35 ] proposed a healthcare reasoning knowledge generation method with an evaluation mechanism that facilitates the generation of knowledge-based solutions for new decision problems. This method describes a healthcare decision case as a set of (x, y) vectors, where x = (x 1 , x 2 , …, x n ) represents a vector of feature attributes, y ∈ Y, and Y represents a discrete variable corresponding to a class. The class values (conclusion or scenario class knowledge) of historical cases in the case knowledge base are known. Given a new problem, the problem can be transformed into an unsolved target case with unknown class values. The variable-weighted heterogeneous value difference distance algorithm enables the generation of inferential knowledge to provide decision-makers with knowledge references.

Specifically, WHVDM ( t , r ) = ( ∑ i = 1 n w i d i 2 ( t , r ) ) 1 / 2 , where

where vdm i (t, r) is the value difference matrix (VDM), its value is calculated according to Equation (2) :

where y represents the conclusion class variable, and Y represents the domain of variable y. The term diff 2 (x t,i ,x r,i ) corresponds to a component of the traditional Euclidean distance and represents the squared distance between the target case t and the historical case r on continuous attributes, as shown in Equation (3) :

This algorithm is applied to distance measures in cases involving discrete and continuous variables, thereby emphasizing the relative importance of case attributes. Moreover, in a study on content analysis and health support using artificial intelligence algorithms for online health communities, Gu et al. [ 36 ] develop an intelligent method for identifying psychological cognitive changes based on natural language processing (NLP) techniques. This method aids in determining whether patients have experienced any psychological cognitive changes. Figure 6 illustrates the architecture of the model.

A model based on NLP for identifying mental cognitive changes.

In terms of smart healthcare information systems for elderly groups, the concept of a smart elderly service supply chain has been proposed in academia [ 37 , 38 ]. With the development of technologies such as the IoT, cloud computing, and big data, a smart elderly service system has been established [ 39 ]. This system aims to provide daily services and health support for the elderly. However, before providing services to the elderly, it is crucial to uncover their implicit service needs from their actual behavioral data. To gather behavioral data from the elderly, various sensing devices are utilized. One widely used sensing device for real-time healthcare applications in daily life is the Wireless Body Sensor Network (WBSN) [ 40 , 41 ]. Hussain et al. [ 42 ] propose a human sensor network that detects abnormal vital physiological parameters. The decision-making process is carried out by the sensor nodes. Events (E) are defined based on threshold values for these parameters. For instance, a healthcare system (S) can be defined with three parameters, E 1, E 2 , and E 3 , as follows:

If the parameter values are interdependent, and we denote the thresholds for E 1, E 2 , and E 3 as E 1th , E 2th , and E 3th , respectively, we can define the data collection function as

This event-driven data collection approach minimizes the utilization of communication resources and significantly reduces overhead. Furthermore, Su and Chiang [ 43 ] introduce the development and general architecture of the Intelligent Aging-in-place Home Care Web Services Platform (IAServ). This platform operates in a cloud computing environment and offers personalized healthcare services to support a cost-effective and highly satisfying approach to elderly care. The architecture of IAServ is depicted in Figure 7 .

The architecture of IAServ.

The second research hotspot is smart manufacturing management. Predictive manufacturing systems [ 44 ], event-driven manufacturing information systems [ 45 ], and data-driven intelligent manufacturing systems have gained prominence [ 46 ]. Additionally, researchers introduce a novel manufacturing paradigm known as cloud manufacturing. This paradigm combines emerging technologies such as cloud computing, IoT, service-oriented technologies, and high-performance computing [ 47 ]. Figure 8 depicts the architecture of a cloud manufacturing service system based on cloud computing and IoT technologies [ 48 ].

A cloud manufacturing service system architecture.

Cloud computing, a robust system with extensive computational capabilities, can store and aggregate relevant resources. It can be dynamically configured to provide personalized services to users [ 49 ]. The technical foundation of cloud computing lies in loose coupling, where the infrastructure is logically or physically separated through technologies like virtualization. Cloud computing operates on a client-server model, where the client or cloud user is loosely connected to the server or cloud provider with minimal data or control dependencies. However, data dependencies are crucial in high-performance computing and can be formalized in the following format [ 50 ]:

Users are categorized into user sets Uset 1, Uset 2 , …, Uset m (m ≥ 1), while providers are categorized into provider sets Pset 1, Pset 2 , …, Pset n (n ≥ 1). The user set Uset i , and provider set Pset j are loosely coupled, represented as Set(Uset i , Pset j ). The three attributes are defined as follows:

Independent user set:

Independent provider set:

Independent loosely coupled (cloud subscriber connected to cloud provider) set:

IoT plays a critical role in bridging the physical environment of manufacturing with the computing platforms and decision algorithms in cyberspace. Edge computing, a complement to cloud computing, focuses on big data analysis in IoT. It effectively addresses issues such as high latency and performance bottlenecks in cloud computing by offloading computation and storage tasks from remote cloud servers to local edge servers [ 51 ]. The selection algorithm for edge computing servers can be outlined as follows [ 52 ]:

where T trans represents the time taken to send task χ to the edge server (ES), T que represents the time spent in the queue, T process represents the processing time, and T re represents the time taken to receive the task.

The third research hotspot is smart transportation management. Researchers make significant advancements by developing intelligent transportation systems that leverage IoT and big data approaches to address challenges such as parking and route planning [ 53 , 54 ]. These systems transform the existing transportation infrastructure into smart transportation systems with Vehicle-to-Everything (V2X) [ 55 ]. V2X enables vehicles to connect with various entities. In this context, V stands for the vehicle, and X encompasses objects that interact with the vehicle to exchange information. The current X primarily includes vehicles, pedestrians, roadside infrastructure, and networks. The information exchange modes of V2X interactions include Vehicle-to-Vehicle (V2V) communication between vehicles; Vehicle-to-Infrastructure (V2I) communication between vehicles and roadside infrastructure; Vehicle-to-Pedestrian (V2P) communication between vehicles and pedestrians; Vehicle-to-Network (V2N) communication between vehicles and the network. Figure 9 illustrates the concept of a smart transportation system [ 56 ].

The conceptual diagram of a smart transportation system.

V2V enables vehicle-to-vehicle communication and data sharing through the device-to-device (D2D) protocol in Cellular-Vehicle-to-Everything (C-V2X), leveraging cellular networks. This communication facilitates effective path planning and helps reduce fuel consumption. Xiao et al. [ 57 ] propose an optimization algorithm to address energy efficiency issues related to multiplexing cellular user resources in D2D-based C-V2X. The algorithm aims to optimize the following problem:

where SINR k represents the signal-to-noise ratio for the k cellular user (C-UE) at the base station (BS), SINR m represents the signal-to-noise ratio for the k C-UE user at the BS, and 2 M p m 0 + η ρ k , m p m d − E m represents the power loss of the m pair of vehicular users (V-UE). Equation (10a) and (10b) impose constraints on the SINR for V-UE and C-UE users, respectively, while Equation (10c) restricts the maximum power for V-UE users. The variable p total represents the maximum transmit power allowed for the m pair of V-UE users.

According to the analysis of the core technologies employed in popular research fields of SMIS, we can find that an increasing number of technologies and methods have been introduced to facilitate the continuous development of SMIS. Moreover, the application areas of SMIS have expanded significantly, resulting in the emergence of various SMIS, such as smart healthcare information systems, smart elderly information systems, smart manufacturing management systems, and smart transportation management systems. These systems exhibit human-like features, including self-organization, self-adaptation, and self-evolution, enabling them to provide users with smart analysis, management, and decision-making services across diverse scenarios.

Based on the analysis of research hotspots in the academic community and the review of the current application of SMIS, we focus on four prominent practical applications: smart healthcare management system, smart elderly care management system, smart manufacturing management system, and smart transportation management system.

4.1 Smart Healthcare Management System

Smart healthcare has experienced rapid development since IBM introduced the concept in 2009. Healthcare information systems play a crucial role in hospital management and patient care, serving as integrated systems that support the comprehensive information needs of various stakeholders, including hospitals, patients, clinical services, ancillary services, and financial management [ 58 ]. The smart healthcare information system, integrating technologies like 5G, blockchain, IoT, and artificial intelligence, addresses the limitations of decentralized traditional healthcare systems, fragmented medical information, and resource disparities. It offers various scenario-based applications and personalized services, including one-stop consultation, electronic health record management, telemedicine, and intelligent prediction and analysis. These services facilitate enhanced interconnectivity, real-time information sharing, and business collaboration among patients, healthcare professionals, healthcare institutions, and healthcare devices.

Harman, a wholly-owned subsidiary of Samsung Electronics Co., Ltd., unveiled the Harman Intelligent Healthcare Platform, a new comprehensive digital health platform designed to help healthcare and life sciences enterprises in their journey towards personalized customer-centric services. Harman Intelligent Healthcare Platform leverages artificial intelligence and machine learning modules to improve customer experience and engagement through predictive analytics and actionable insights on data harnessed from disparate sources. The key modules of the Harman Intelligent Healthcare Platform are depicted in Figure 10 [ 59 ].

The key modules of the Harman Intelligent Healthcare Platform.

4.2 Smart Elderly Care Management System

The concept of smart elderly care was formally introduced by the Life Trust of the United Kingdom in 2012. It means that people can build an IoT system and information platform for family, community, and institutional elderly care through various modern scientific and technological means, such as the Internet and cloud computing [ 60 ]. Smart elderly care, guided by the needs of the elderly and facilitated by the smart elderly care platform, utilizes intelligent products to connect both the supply and demand sides [ 61 , 62 ]. It brings together the elderly, community, medical personnel, medical institutions, government, and service organizations to provide convenient, efficient, IoT-enabled, connected, and smart elderly care services.

Hengfeng Information is an exceptional information technology service provider specializing in smart city solutions in China. Leveraging technologies such as the Internet, mobile Internet, IoT, and cloud computing, the company has developed an innovative “Internet + community home care services” platform. This platform has successfully established a comprehensive home care model. This model combines a “care center + service site + call center + shopping mall for the elderly + alliance merchants” approach [ 63 ]. The platform of Internet + community home care services developed by Hengfeng Information is shown in Figure 11 .

The platform of Internet + community home care services.

4.3 Smart Manufacturing Management System

With the introduction of Germany's Industry 4.0, enterprises have embraced the establishment of industrial Internet enterprise-level manufacturing platforms to facilitate their operations’ digital, networked, and intelligent transformation. This transformation is supported by intelligent manufacturing management information systems, ultimately enabling the realization of green and intelligent manufacturing practices. Smart manufacturing, further advancement of intelligent manufacturing, signifies the integrated application of next-generation information technology in the manufacturing industry. Through the utilization of technologies such as the IoT, active perception, and scene intelligence, smart manufacturing explores user needs, enables large-scale personalized customization, facilitates accurate supply chain management, and implements whole lifecycle management, thereby promoting a more intelligent approach to manufacturing management.

Haier, a prominent Chinese home appliance industry player, has established an integrated, digital, and intelligent service platform known as the Cloud of Smart Manufacture Operation Platform (COSMOPlat) [ 64 ]. COSMOPlat serves as a catalyst for the comprehensive upgrade of Chinese manufacturing by accelerating its transition towards a more advanced and efficient model. The architecture of COSMOPlat is depicted in Figure 12 .

The architecture of COSMOPlat.

4.4 Smart Transportation Management System

Smart transportation originated from the smart earth proposed by IBM in 2008 and the smart city proposed in 2010. It is developed by integrating intelligent transportation systems with emerging technologies such as the IoT, cloud computing, and the mobile Internet. The smart transportation system addresses the need for real-time traffic monitoring, public vehicle management, travel information services, and vehicle-assisted control. It enables collaborative interactions among humans, vehicles, and roads, significantly enhancing transportation efficiency, improving the transportation environment, and playing a crucial role in optimizing traffic operations and providing intelligent public travel services.

Baidu, a leading autonomous high-tech enterprise in China, has developed the “Baidu ACE (Autonomous Driving, Connected Road, Efficient Mobility)” vehicle-road mobility engine. This innovative solution utilizes artificial intelligence, big data, autonomous driving technologies, vehicle-road collaboration, high-precision maps, and other information technologies to advance road infrastructure and promote smart infrastructure, smart transportation equipment, and convenient travel services [ 65 ]. The architecture of the Baidu ACE traffic engine is depicted in Figure 13 .

The architecture of the Baidu ACE.

Based on the aforementioned practical application cases, SMIS has yielded significant accomplishments in smart healthcare, smart elderly care, smart manufacturing, and smart transportation. Moreover, applications are growing in areas such as smart communities [ 66 ] and smart tourism [ 67 ]. These successful application practices demonstrate the substantial potential for the development and wide-ranging application prospects of SMIS.

SMIS actively senses and adapts to changes in the external environment using multiple sensors, engaging in real-time interactions with users to collect multimodal data. It extracts knowledge and user preferences from vast data, providing customized smart solutions tailored to their specific requirements. To facilitate smart decision-making services, SMIS optimizes and allocates processes and resources across domains, organizations, and departments. This requires the development of an open and flexible architecture capable of integrating diverse systems on a larger scale. In light of these considerations, this paper identifies four key areas for the future development directions of SMIS: smart interaction, smart decision-making, efficient resource allocation, and flexible system architecture. These aspects are interconnected and supported by a flexible architecture, as illustrated in Figure 14 .

The research framework for the development directions of SMIS.

5.1 Dynamic Perception and Human-Computer Interaction Mechanisms in Complex and Open Environments

In the era of economic globalization, organizations face a rapidly changing market environment, requiring real-time interaction with the environment to gather information on its current state. Similarly, organizations need to engage with users directly to understand their needs and incorporate them into SMIS operations to enable effective human-machine collaboration. To achieve dynamic perception, SMIS should consider various sources such as user feedback, environmental conditions, and targeted data in order to gain comprehensive insights into stakeholder interactions in multimodal scenarios. This exploration of data characteristics and understanding of state change patterns enable the development of dynamic perception mechanisms for multiple scenarios.

Advancements in information technology have enabled the virtual synergy of human behavior and the fusion of nature and human society, ushering in a new era of data [ 68 ]. Consequently, when interacting with users and the environment, SMIS needs to acquire and analyze massive amounts of heterogeneous big data from various sources within and outside the system. This involves identifying implicit user needs, adapting to changes in the external environment, promptly responding to user needs, and providing comprehensive service support. Such actions facilitate the synergistic symbiosis of the human-machine.

For instance, in smart healthcare, SMIS can integrate and analyze big data features and knowledge requirements within complex medical scenarios such as diagnosis, treatment, prediction, warning, and rehabilitation. By employing knowledge semantic dynamic modeling methods based on heterogeneous health big data from multiple sources and interpretable machine learning, along with large-scale user collaborative modeling methods for cross-organizational multi-level task requirements, SMIS can achieve highly reliable and interpretable collaborative knowledge reasoning. This approach supports decisionmaking efficiency and service quality by leveraging healthcare expert experiences and incorporating patient feedback interventions.

5.2 Smart Collaborative Decision-Making and Personalized Knowledge Service Model for Users’ Implicit Needs

SMIS leverages emerging technologies such as big data, artificial intelligence, and deep learning to enable smart decision-making and scenario-based services. It provides smart decision-making support to users by employing multi-agent learning mechanisms in complex and dynamic environments. Current advancements in this area include multi-agent reinforcement learning based on populations [ 69 ], information systems supporting organizational creativity [ 70 ], and medical-assisted decision support systems [ 71 ]. Future research can explore smart group modeling and adaptive decision models to enhance the capabilities of SMIS.

Addressing users’ implicit needs, SMIS should develop personalized knowledge service models to recommend knowledge service solutions using digital twin technology. This approach enhances the system's knowledge service capabilities and improves user satisfaction. For instance, during major public health emergencies, cross-organizational health data resources from hospitals, public health institutions, and communities can be utilized. A collaborative knowledge inference method based on a multi-case base can generate medical knowledge maps rapidly and dynamically construct cross-organizational case bases. This enables disease risk identification and collaborative decision-making among multiple medical and defense bodies by leveraging joint data and knowledge. Moreover, it facilitates the integration, smart analysis, and active service of medical and health data, and public health monitoring data. This technical support is valuable for dynamic disease monitoring and intelligent collaborative decision-making in the context of medical and defense collaboration.

Additionally, in medical prevention and coordination, the personalized knowledge needs of various stakeholders, such as disease control personnel, doctors, and patients at different levels, can be analyzed in dynamic medical prevention and coordination task scenarios. Furthermore, mechanisms for matching the needs with service resources can be explored. This can involve the development of knowledge recommendation methods based on machine reasoning and natural language understanding, as well as multi-grain knowledge matching and retrieval methods. The goal is to provide personalized, dynamic, and smart knowledge services to individuals involved in disease prevention and control.

5.3 Cross-Organizational Scenario-Based Approach to System Process Optimization and Resource Allocation

SMIS plays a crucial role in providing smart decision-making and scenario-based services. To achieve smart decision-making goals and deliver scenario-based services effectively, SMIS needs to optimize process modeling and allocate resources efficiently. This requires the establishment of a flexible system process model and the exploration of methods for customizing and reusing personalized process modules. Furthermore, there is a need to address the demand for flexible and personalized modeling of cross-organizational business processes.

Regarding resource allocation, it is essential to study cross-domain, cross-organizational, and cross-departmental resource scheduling models and methods that incorporate smart and intelligence. This research can significantly enhance the efficiency and effectiveness of resource allocation. Given the diverse characteristics of resources in the human-computer system, such as varying sizes, distributions, and dynamics, applying self-organization theory can provide insights into the multi-level resource interaction mechanism across the value chain. Moreover, it can facilitate the development of dynamic self-organization methods for resources to pursue multiple objectives and tasks.

By analyzing resource management scenarios and resource optimization goals in complex and dynamic environments, it becomes possible to explore self-adaptive mechanisms for resource allocation, scheduling, and organization. Additionally, research on resource scheduling methods, based on deep reinforcement learning, can address the dynamic needs of multiple subjects and various grain sizes. This not only enables effective interaction and collaboration among multiple subjects within the system process model but also caters to users’ personalized and dynamic needs at different levels.

5.4 Open and Flexible Management Information System Architecture and Governance System

To ensure rapid processing and response to internal and external needs, the architecture of MIS needs to evolve from a traditional centralized structure to a distributed and flexible one. This involves building the system as a distributed and adaptive scheduling multi-subject architecture with reconfigurable real-time tasks. Flexible access system architectures capable of supporting diverse requirements and facilitating agile service creation have already been developed [ 72 ]. Additionally, middleware platforms based on OpenStack have been employed to facilitate and orchestrate the offloading process [ 73 ].

Regarding system architecture, SMIS can adopt an object-oriented approach to plan system functions and achieve flexibility within management information systems. This can be accomplished through the personalized configuration of functional modules and the utilization of multi-agent configuration methods. Hence, SMIS can effectively monitor and manage system functions, processes, and operational status, while also enhancing the system to adapt to environmental changes and individual user needs. Furthermore, the open and flexible architecture of SMIS places greater emphasis on the system's governance. In terms of SMIS governance, blockchain technology can be explored to establish mechanisms for data quality control, system security protection, and user privacy protection. These mechanisms ensure the continuous and stable operation of the system.

As an important tool for assisting organizations in management and decision-making, SMIS plays a crucial role in society and organizations. This paper begins by presenting the evolution of SMIS based on previous research and defines the different periods of SMIS, highlighting how management information systems have evolved into the smart period. Next, by analyzing literature related to SMIS over the past decade, the paper summarizes the research hotspots in SMIS and identifies the healthcare, elderly care, manufacturing, and transportation fields as prominent areas where SMIS is widely and maturely applied. Furthermore, the paper examines typical application cases of SMIS, showcasing the significant development potential of SMIS. Lastly, the paper outlines the future development directions of SMIS, focusing on four key aspects: smart human-computer interaction, smart decision-making services, efficient resource allocation, and flexible system architecture.

SMIS is capable of addressing complex and ambiguous user needs in real-time, providing users with smart analysis, management, and decision-making services. In future research, it is important to explore diverse human-machine partnerships to enhance the human-like capabilities of SMIS. By leveraging these partnerships, SMIS can deliver more smart and personalized services tailored to the unique requirements of different positions and users in various roles. Additionally, there should be a focus on cross-platform integration of SMIS to enable seamless resource integration and collaboration across domains, organizations, and departments. This cross-platform integration will facilitate the efficient utilization of resources and promote cooperation among different entities. To further advance SMIS, it is crucial to conduct in-depth case studies and experimental research. These studies will provide valuable insights into the practical implementation and impact of SMIS in real-world scenarios.

This work was supported by the National Natural Science Foundation of China (grant number: 72131006, 72071063, 72271082); Anhui Provincial Key R&D Programme (grant number: 2020i01020003).

Changyong Liang (Email: [email protected] ): has proposed the research problems and designed the research framework. Xiaoxiao Wang (Email: [email protected] ): has designed the research framework and wrote and revised the manuscript. Dongxiao Gu (Email: [email protected] ): has designed the research framework and revised the manuscript. Pengyu Li (Email: [email protected] ): has wrote and revised the manuscript. Hui Chen (Email: [email protected] ): has collected and analyzed the data. Zhengfei Xu (Email: [email protected] ): has wrote and revised the manuscript.

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REVIEW OF MANAGEMENT INFORMATION SYSTEMS RESEARCH: A MANAGEMENT SUPPORT EMPHASIS

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Management Information Systems Research Guide

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78 MIS Topics for Presentations and Essays

🏆 best management information systems project ideas, 🎓 interesting topics related to information systems, ✅ simple & easy mis assignment topics.

Samsung Company’s Management Information System The scope of Management Information System is defined as, “The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […]
Management Information Systems: Making Strategic Decisions The company will create a model of the relationship between all the pieces of information in the group. In this regard, the organization employs MISs in order to complete and integrate a series of elements […] We will write a custom essay specifically for you by our professional experts 808 writers online Learn More
Management Information Systems Types: Functions and Importance A TPS is vital in managing the system resources as it maintains a pool of operating resources that are used in transaction processing, application program loading, and acquiring and releasing storage.
The Role of Management Information System (MIS) in Business The diagram below shows the relationship between the departments and underpins how the manual system which is used to conduct the primary and secondary activities within the departments is related to the performance of each […]
Management Information Systems Analysis and Design The progress of this project will be based on a simple definition of a management information system which would be: a computer based system that provides flexible and speedy access to accurate data.
ABC Company Management Information System Increasing the presence of the firm’s products to specific segments of clients provides the customers with seamless shopping experience in the business’s physical and online stores.
Management Information Systems and E-Government In the developing countries, it has been of much surprise to notice that, the failures of e-government project, is a problem that is real and much practical.
Management Information Systems in Organizational Performance The information system has enabled the organisation to solve problems like inappropriate use of time, increased expenditure, and customer dissatisfaction. Management information system is an important tool that can be used to shift the cost […]
Management Information Systems Benefits in Business This has helped this firm to achieve competitive advantage in the market because it is always aware of the needs of its customers. To manage this threat, ABC has discounted and differentiated its products in […]
Management Information System Implementation in the Bank This conforms to the first principle of change in which a person is adjusted via a change in the system that they work in.
Management Information System: Cisco Systems Prior to the implementation of the ERP system, the company’s systems were on the brink of failure. The management of the company understood the need for the company to shift to a new ERP system.
Management Information Systems: Socio-Technical Aspect Software: This component stands for programs that are used to operate the MIS, manage data, search and cipher through logs, and other related activities.
Health Management Information Systems: Impact on the Technology Implementation Since the beginning of the information systems implementation, the vast majority of spheres have adopted some cutting-edge technologies to increase the effectiveness of their working process.
Management Information Systems (MIS) The advances in the evolution of devices and the achievement of a new stage of development critically impacts MIS and creates the basis for the emergence of multiple changes towards the achievement of better outcomes […]
Chalhoub Group: Management Information Systems This presentation will focus on one organization in UAE, highlighting how its improved IS/IT systems have helped it register massive profits.
Healthcare Management Information Systems: Working Principles For instance, the ministry of health uses the network to disseminate health information to people in all regions and also globally.
Healthcare Management Information Systems: An Evaluation In this perspective, the Chief Information Officer survey therefore becomes important for the Health Management Information System industry because it assist health institutions to project current and future informational and technological needs, not mentioning the […]
Accounting and Management Information Systems This article is a discussion of the results obtained by Mangiuc in an empirical study that involved both local and foreign companies in Romania.
Management Information Systems: Primis Online System at McGraw Hill This paper focuses on the analysis, design and system development elements applied by the Primis team in deployment of the online system at McGraw Hill.
Imperial Tobacco. Management Information System – Competitive Forces This means that the management at Imperial Tobacco needs to develop products that can compete with the new products for them to maintain their position in the market.
Management Information Systems: Ethics and Career Path The second one is the group of skills necessary to vivificate information, and the last one is meant to reason in a proper.
Management Information System and Outsourcing According to these critics, there is a need for some of the currently outsourced services to be performed in the home country.
“Management Information Systems” by James O’Brien and George M. Marakas This is a network or sub-network with a high speed that interconnects different types of data storage devices that have associated data servers on behalf of a larger network of users. Through this, data can […]
Management Information Systems and Its Impacts As thus, it is the obligation of the employees so see to it that they acquire the necessary knowledge and skills; otherwise, they will be washed out of the company system.
Management Information Systems: Efficiency and Collaboration In addition, it is important to stress out that Microsoft Access allows a more flexible retrieval of data even when the volume of data gets high.
Fly Dubai Company’s Management Information Systems Data from the company’s website and its associated pilot training website outline the main sources of primary information. Identity refers to the ease that websites explain the nature, history, and values of a company.
Relevant Decision Making: Management Information Systems in Organizations In this respect, managers are likely to make wrong decisions, especially, if they are unaware of the inaccuracy of the information provided by the system.
Management Information System and Strategic Performance According to his assumption, the higher the demographic diversity in top management team, the greater the contribution of accounting system to strategic performance.
Management Information Systems in Corporate Institutions With the invention of personal computers and other information technology tools, the companies had to develop a proper information technology system that would handle the work of the organization and reduce the errors that were […]
Management Information Systems: Effective Decision-Making and Security Through taking into account the different organizational levels within an organization management information systems are classified into four main types, namely, operational level systems, knowledge level systems, management level systems and strategic level systems. Management […]
Types of Management Information Systems in Business Generally, a TPS is used to process the data that is required to update the records about the operations of a business.
Management Information Systems: LinkedIn Corporation It highlights how information technology has been used in management, the general operations of the organization as well as how the use of information systems has helped the organization to attain a competitive edge.
Management Information Systems and Business Decision-Making The article explains to its audience the importance of promoting and adapting the use of information systems to ensure that managers get the latest information in time.
Management Information System in Business The main importance of information system to any modern organization is to store its data and that of its associates and customers in a secure manner.
Management Information Systems: Mitsubishi Motors A management information system is considered as one of the most effective and successful systems that are able to provide the necessary information in order to promote the development and management of any organization in […]
Management Information Systems Major: Courses and Careers Knowledge on Management information systems is vital to institutions on a management height, where it is employed to preserve and build up new techniques for organizing vast amounts of information and helping managers in the […]
Management Information System: Operational Efficiency and Decision-Making The customers as well are in a position to be aware of the status of their deliveries by logging in to the company’s website which is updated by the servers throughout.
Management Information Systems and Enterprise Resource Planning In addition to heavy investment in the staff who left, their departure led to delay in the areas they were in charge of as well as repeating some of the steps already done during the […]
Bespoke Management Information Systems Using Microsoft Access
Management Information System in Starbucks: IBM TPS System
Logistics Management Information Systems: Functions, Components, Examples
The Management Information Systems of Toyota: New Methods and Accomplish Business Goals
Management Information Systems for Shipping and Delivery Company
Management Information Systems of the Small and Medium Enterprises
Management Information Systems in Marketing: Kotler’s Model
Barriers to Successful Development of Strategic Management Information System
Management Accounting Information System: Auditing and Financial Reporting Modules
Warehouse Management Information System: Optimizing the Use of Available Space or Coordinating Tasks
Management Information Systems in Hospitals: Accounting for the Control of Doctors
Management Information Systems Through User Interface
Project Management Information System: Using More Efficiently, Without Getting Overwhelmed With Data
Information Management Systems in the Supply Chain
How Management Information Systems Affect Working Ethics
Human Resource Management System: The Best Tools in 2022
Management Information System for Real Estate and Property Management
Management Information System: Advantages and Disadvantages
The Technology of Information Management System
Management Information Systems for Computer-Aided Design
Management Information Systems: Enterprise Applications
The History of Management Information Systems: Five Eras
Management Information System: Development Process With System Development Life Cycle
Credit Management Information Systems: A Forward-Looking Approach
Common Problems in Management Information Systems
Management Information Systems at Rosenbluth Travel: Competitive Advantage in a Rapidly Growing Global Service Company
Why Can Management Information Systems Effectiveness Decreases
Management Information Systems: The Difference Between Advanced MIS and MI Dashboard
Developing Decision Support Capabilities Through the Use of Management Information Systems
Using National Education Management Information Systems to Make Local Service Improvements: The Case of Pakistan
How Might a Management Information System Be Used in a School
The External Organizational Environment and Its Impact on Management Information Systems
Management Information Systems: Managing the Digital Firm by Kenneth Laudon, Jane Laudon
The Disadvantage of Management Information System: Fraudulent Activities
Management Information Systems: Impact on Dairy Farm Profitability
Which Country Is Best in Management Information System
Management Information Systems Program for Poughkeepsie Children’s Home
Relationship Between Management Information Systems and Corporate Performance
Management Information Systems: Air Canada Takes off With Maintenix
Farm Management Information Systems Planning and Development in the Netherlands
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25650 PDFs
Kerry Brian Walsh. Thakur Prasad Bhattarai. A farm management information system (MIS) entails record keeping based on a database management system, typically using a client-server architecture, i ...
A Study on Management Information Systems Role and Adoption in ...
Abstract. The Management Information System processes that flow through computer data, and integrated with other processes to provide information in a faster and more efficient way to support decision-making and other administrative tasks.
Journal of Management Information Systems
All papers are refereed in a double anonymized process by the internationally recognized expert referees and by Associate Editors who serve on the distinguished Editorial Board of JMIS. Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106. Authors can choose to publish gold open access in this journal.
A Review of the Effectiveness of Management Information System in
The rapid advancement of technology has revolutionized the way organizations operate, resulting in the widespread adoption of Management Information Systems (MIS) as a crucial tool in decision-making processes. This research paper presents a comprehensive review of the effectiveness of Management Information Systems in facilitating decision-making within various organizational contexts. The ...
Journal of Management Information Systems
The Journal of Management Information Systems is a widely recognized and top-ranked forum for the presentation of research that advances the practice and understanding of organizational information systems. It serves those investigating new modes of information delivery and the changing landscape of information policy making, as well as practitioners and executives managing the information ...
[PDF] Management Information Systems Research: What's There in a
A general framework for classifying and examining survey research is presented and this framework is used to analyze the usage of survey research conducted in the past decade in the MIS field and makes specific recommenoations that directly address the major problems highlighted in the review. Expand. 1,377. PDF.
JMIS
Special Section: Human-Computer Interaction Research in Management Information Systems. Guest Editors: Ping, Zhang, Fui-Hoon Nah, Fiona, and Benbasat, Izak. Fall Volume 22 Number 2 2005 ... Award-Winning Papers. Subscription Information. Export References ...
Management Information Systems Research: A Topic Modeling Based
Management information systems (MIS) have an interdisciplinary structure. Naturally, it develops and changes with the influence of other fields. This study tries to analyze MIS through academic studies on this topic. In this context, the analysis included 25304 articles published in the Scopus database from 2016 to 2021.
Artificial Intelligence for Management Information Systems ...
The aim of this paper is to present a systematic literature review of the existing research, published between 2006 and 2023, in the field of artificial intelligence for management information systems. Of the 3946 studies that were considered by the authors, 60 primary studies were selected for analysis. The analysis shows that most research is focused on the application of AI for intelligent ...
Smart Management Information Systems (Smis): Concept, Evolution
ABSTRACT. Management information system (MIS), a human-computer system that deeply integrates next-generation information technology and management services, has become the nerve center of society and organizations. With the development of next-generation information technology, MIS has gradually entered the smart period. However, research on smart management information systems (SMIS) is ...
Management Information Systems (MIS) Research Paper
The sphere of management is not an exclusion and the methods used there are also reconsidered in terms of new digital technologies. Management Information Systems (MIS) also experiences substantial changes under the impact of recent advances in science and technology. We will write a custom essay on your topic. 809 writers online.
Research in Management Information Systems: The Minnesota ...
This article. summarizes a series of experiments, The Minnesota Experiments, which were conducted to examine the significance of various information system characteristics on decision activity. Several research programs administered in the period 1970-1975 are discussed in this paper.
Information Management: Articles, Research, & Case Studies on
New research on information management from Harvard Business faculty on issues including management of electronic records, data security and privacy, and how organizations can preserve the accumulated knowledge of individual employees. ... This paper illustrates how different business areas might differ with respect to the rate of decay in data ...
(Pdf) Review of Management Information Systems Research: a Management
A CRITICAL 03064573/a 1988 Pergamon $3.00 + .oo Journals Ltd. REVIEW REVIEW OF MANAGEMENT INFORMATION SYSTEMS RESEARCH: A MANAGEMENT SUPPORT EMPHASIS RANDOLPH B. COOPER Graduate School of Business Administration, The University of Michigan, Ann Arbor, MI 48109 (Received June 19, 1987) Abstract-This article organizes, describes, and evaluates ...
Welcome
Note the source requirements. Sometimes the information you will need will be found in a library database. Keep in mind that scholarly sources take longer to publish, so scholarly information on topics focused on specific recent events may be limited. Understand Your Research Assignment. Watch this short video to start down the right path:
Why you need a Research Information Management System
Research information management systems work by integrating and linking the various elements and creating interoperability between solutions in the research ecosystem. RIMS centrally stores related data for: . Analysis. . Reporting. . Research showcasing and communication. .
Information Systems Research
Information Systems Research is a peer-reviewed journal that seeks to publish the best research in the information ... This paper investigates the suitability of online loans as an investment through the lens of a portfolio optimization framework. ... The Institute for Operations Research and the Management Sciences. 5521 Research Park Drive ...
78 Management Information System Topics for Presentation and Essays
Samsung Company's Management Information System. The scope of Management Information System is defined as, "The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […] Management Information Systems: Making Strategic ...
Agriculture
Agricultural cropping structure is related to the quality of the agricultural supply system and is a key element of the structural reform of the agricultural supply side. Based on China's provincial panel data from 2000 to 2021, this paper empirically examines the impact and mechanism of rural population aging on the planting structure of food and cash crops by using a two-way fixed-effects ...