共查询到20条相似文献，搜索用时 78 毫秒
1.
Enterprise content management (ECM) systems are implemented in many organizations to deal with the complexity of the structured and unstructured organizational data. The little available ECM literature shows that many organizations using ECM focus on short-term benefits while strategic decision-making benefits are rarely considered. Although the relationship between the use of ECM and decision support (DS) is investigated recently, there is scarcity in research that investigates the categories of DS capabilities that ECM systems may have. The objective of this paper is to determine whether ECM systems can have the DS capabilities of four categories of decision support systems, namely classic decision support systems (DSS), executive information systems (EIS), expert systems (ES), and group decision support systems (GDSS). The findings indicate that ECM systems can have all decision support capabilities of classic DSS, EIS, and ES. However, ECM systems can have only a portion of decision support capabilities of GDSS. 相似文献
2.
Naveen Gudigantala Jaeki Song Donald Jones 《International Journal of Information Management》2011,31(4):327-338
Websites play a critical role in attracting customers and providing information to assist Web customers in decision making. Despite the importance of such systems providing a satisfactory experience, as per our knowledge no effort has been made to systematically examine the underlying causal structure among important decision related variables such as perceived effort, perceived information accuracy, perceived effectiveness, and satisfaction using Web-based decision support systems (Web-based DSS) that provide information to potential customers. In this study, we develop a conceptual model for investigating cognitive antecedents to Web users’ satisfaction in the context of Web-based DSS. The empirical examination of the research model using structural equations modeling indicates that perceived effectiveness is influenced by perceived information accuracy and effort, and in turn, has positive impact on satisfaction in using Web-based DSS. The implications of this study suggest to information managers that providing customers with highly accurate information from web sites requiring lower effort is perceived as an effective system and such perception leads to increased satisfaction. 相似文献
3.
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation. 相似文献
4.
《International Journal of Information Management》2017,37(5):417-430
Organizations face significant challenges in capturing value from their investments in strategic information systems such as enterprise systems (ES). Managers are a powerful source of influence shaping the post-adoption attitudes and behaviors of users and the success of ES. However, the extant IS literature has focused primarily on the role of top management and theoretical explanations of the role of supervisors in fostering continuing usage of ES are lacking. Drawing on transformational leadership theory and the IS continuance (ISC) model, this paper conceptualizes a theoretical model differentiating the influence mechanisms through which different types of leadership behaviors influence the success of ES. Data collected from 192 users of ES confirms our theorization. We find that transformational leadership behaviors of supervisors influence users’ evaluations of satisfaction and perceived usefulness, while their transactional leadership behaviors influence users’ ES continuance intention by moderating the effects of user satisfaction and perceived usefulness on ES continuance intention. This study advances research on the role of leadership behaviors of supervisors in capturing value from enterprise systems. The research also contributes to practice by suggesting effective strategies for promoting continued usage of mission critical systems such as enterprise systems and delivering value from firms’ IT investments. 相似文献
5.
6.
Decision making is regarded as a key feature of managerial activity. As a result, a considerable amount of research activity has been undertaken that aims to enhance understanding and to improve on the decision‐making process within organizational settings. This research has been paralleled by a technological response in the development of information and communication technology that is heralded by many for its significant potential for improving decision making in terms of both efficiency and effectiveness. This paper examines the complex nature of decision making within organizations and examines the extent to which computer systems may provide effective managerial support in the face of increasing organizational complexity. 相似文献
7.
8.
针对传统数据库管理系统存在的数据分散、不统一、可分析能力低等缺点,提出了基于数据仓库和数据挖掘技术的养老保险决策支持系统模型,探讨了养老保险制度的影响因素,设计了数据仓库的逻辑模型,同时对决策支持系统的功能结构进行阐述,进而实现了辅助决策的功能. 相似文献
9.
《Information processing & management》2023,60(4):103399
Developing a tourism forecasting function in decision support systems has become critical for businesses and governments. The existing forecasting models considering spatial relations contain insufficient information, and the spatial aggregation of simple tourist volume series limits the forecasting accuracy. Using human-generated search engines and social media data has the potential to address this issue. In this paper, a spatial aggregation-based multimodal deep learning method for hourly attraction tourist volume forecasting is developed. The model first extracts the daily features of attractions from search engine data; then mines the spatial aggregation relationships in social media data and multi-attraction tourist volume data. Finally, the model fuses hourly features with daily features to make forecasting. The model is tested using a dataset containing several attractions with real-time tourist volume at 15-minute intervals from November 27, 2018, to March 18, 2019, in Beijing. And the empirical and Diebold-Mariano test results demonstrate that the proposed framework can outperform state-of-the-art baseline models with statistically significant improvements at the 1% level. Compared with the best baseline model, the MAPE values are reduced by 50.0% and 27.3% in 4A attractions and 5A attractions, respectively; and the RMSE values are reduced by 48.3% and 26.1%, respectively. The method in this paper can be used as a function embedded in the decision support system to help multi-department collaboration. 相似文献
10.
This paper focuses on the role of the computer system in group decision-making. Two systems used in solving negotiating problems and three procedures which can be utilized to develop group decision support systems are analysed and a unified approach for the analysis is presented. The systems and procedures are based on multicriteria decision analysis and use mathematical programming models. They can play different roles: systems intervention in the negotiating process can be used merely to facilitate the process, or the system can actively mediate negotiations; both roles are discussed here. 相似文献
11.
针对企业人员测评过程中如锣建立群体决策支持系统这一问题,提出了由进程库、信息库与决策支持系统的三库结构组成的人员测评群体决策支持系统。该决策支持系统是在计算机提供的“测评动态环境”的基础上,使群体决策者能够通过人机对话的形式进行测评的分析和决策。 相似文献
12.
Artificial Intelligence tools have attracted attention from the literature and business organizations in the last decade, especially by the advances in machine learning techniques. However, despite the great potential of AI technologies for solving problems, there are still issues involved in practical use and lack of knowledge as regards using AI in a strategic way, in order to create business value. In this context, the present study aims to fill this gap by: providing a critical literature review related to the integration of AI to organizational strategy; synthetizing the existing approaches and frameworks, highlighting the potential benefits, challenges and opportunities; presenting a discussion about future research directions. Through a systematic literature review, research articles were analyzed. Besides gaps for future studies, a conceptual framework is presented, discussed according to four sources of value creation: (i) decision support; (ii) customer and employee engagement; (iii) automation; and (iv) new products and services. These findings contribute to both theoretical and managerial perspectives, with extensive opportunities for generating novel theory and new forms of management practices. 相似文献
13.
《International Journal of Information Management》2016,36(1):25-34
This paper proposes a risk analysis model for information security assessment, which identifies and evaluates the sequence of events – referred to as alternatives – in a potential accident scenario following the occurrence of an initiating event corresponding to abuses of Information Technology systems. In order to perform this evaluation, this work suggests the use of Event Tree Analysis combined with fuzzy decision theory. The contributions of the present proposal are: the development of a taxonomy of events and scenarios, the ranking of alternatives based on the criticality of the risk, considering financial losses, and finally, the provision of information regarding the causes of information system attacks of highest managerial relevance for organizations. We included an illustrative example regarding a data center aiming to illustrate the applicability of the proposed model. To assess its robustness, we analyzed twelve alternatives considering two different methods of setting probabilities of the occurrence of events. Results showed that deliberate external database services attack represent the most risky alternative. 相似文献
14.
There is a common problem in artificial intelligence (AI) and information security. In AI, an expert system needs to be able
to justify and explain a decision to the user. In information security, experts need to be able to explain to the public why
a system is secure. In both cases, an important goal of explanation is to acquire or maintain the users’ trust. In this paper,
I investigate the relation between explanation and trust in the context of computing science. This analysis draws on literature
study and concept analysis, using elements from system theory as well as actor-network theory. I apply the conceptual framework
to both AI and information security, and show the benefit of the framework for both fields by means of examples. The main
focus is on expert systems (AI) and electronic voting systems (security). Finally, I discuss consequences of the analysis
for ethics in terms of (un)informed consent and dissent, and the associated division of responsibilities. 相似文献
15.
针对具有多个属性集和信息类型的多属性群决策问题,运用模块化的思想,提出一种新的决策方法。首先,将具有不同属性集与信息类型的决策矩阵视为相互独立的模块,按属性将其划分为若干子模块,并对子模块单独进行标准化;然后,计算每个模块中各方案的群体效用值、个体遗憾值和综合评价值。在此基础上,根据专家权重集结所得结果,并据此确定最优折衷方案。最后,通过两个算例验证所提方法的可行性与有效性。 相似文献
16.
17.
Carmen De Maio Giuseppe Fenza Vincenzo Loia Sabrina Senatore 《Information processing & management》2012
In recent years, knowledge structuring is assuming important roles in several real world applications such as decision support, cooperative problem solving, e-commerce, Semantic Web and, even in planning systems. Ontologies play an important role in supporting automated processes to access information and are at the core of new strategies for the development of knowledge-based systems. Yet, developing an ontology is a time-consuming task which often needs an accurate domain expertise to tackle structural and logical difficulties in the definition of concepts as well as conceivable relationships. This work presents an ontology-based retrieval approach, that supports data organization and visualization and provides a friendly navigation model. It exploits the fuzzy extension of the Formal Concept Analysis theory to elicit conceptualizations from datasets and generate a hierarchy-based representation of extracted knowledge. An intuitive graphical interface provides a multi-facets view of the built ontology. Through a transparent query-based retrieval, final users navigate across concepts, relations and population. 相似文献
18.
《Information processing & management》2022,59(2):102855
State-of-the-art artificial intelligence (AI) methods are progressively strengthened in Traditional Chinese Medicine (TCM) pulse palpation, aiding physicians to make comprehensive preliminary clinical decisions through non-invasive diagnostics. One of the well-known proven examinations i.e., hesitant pulse wave diagnosis, is a sign that the blood circulation of a person is sluggish. This examination provides a preliminary diagnosis for physiological problems. Modern AI methods such as artificial neural networks achieve better performance than traditional methods; however, the final decision of such examination lacks of interpretability. In clinical situations, patients need an easy-to-understand diagnosis to be provided for selecting appropriate clinical treatment. Therefore, this study presents feature extraction and clinical decision support systems based on Pulse-Line Intersection (PLI) and eXplainability AI (XAI) methods. The pulses were recorded from 46 patients in six different measurement points for six seconds. In addition, a comparison of several AI methods was provided to classify hesitant and normal pulse. The contribution of each feature in the classification process was analyzed by unboxing each predictive intelligence model. The results revealed that all models performed comparably, evaluated using performance matric on the testing data with average F1-score of Logistic Regression, Support Vector Machine, Random Forest, XGBoost, Multi-Layer Perceptron, and Long Short-Term Memory were 0.74, 0.74, 0.74, 0.78, 0.73, and 0.80, respectively. This work suggests that modern AI methods can provide more comprehensive explainability and higher accuracy than traditional method rankings. 相似文献
19.
面对宏观经济各种运行态势，政府将采取不同的宏观调控手段以保持经济长期稳定、健康发展。本文针对政府制定宏观调控政策的工作任务，分析了面向宏观调控决策过程的基本需求，构建了一个基于数据仓库的宏观调控决策支持系统的框架。该系统的主要特点是在数据挖掘和文本挖掘的基础上，进行数据分析和指标预测，从经济周期的完整过程对宏观调控政策效果予以评价，从而为宏观调控政策的选择提供参考。 相似文献
20.
信息技术与我国城市危机管理机制创新 总被引：7，自引：0，他引：7
城市是各种危机最频发的地区,我国城市的危机管理形势非常严峻。本文分析了我国城市危机的特点及其管理现状,提出利用信息技术促进我国城市危机管理机制创新的思路,即建立以统一机构(城市危机管理中心)为核心的调度统一、联动协调、信息共享的城市综合危机管理机制,研制实用的城市危机管理决策支持系统以支持该模式的高效运作。最后,讨论了建立城市危机决策支持系统的初步技术框架,并提出若干建议。 相似文献