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1.
The key to business success for many companies is the correct use of data to make better, faster and flawless decisions. Companies need to use robust and efficient tools such as business intelligence (BI) as positive catalysts to achieve this goal, which can assist them in mechanizing the tasks of analysis, decision making, strategy formulation and forecasting. In other words, the purpose of using BI in these institutions is to collect, process, and analyze large volumes of data and convert them into effective business value in decision making through the creation of analytical intelligent reporting platforms. Therefore, this study aims to answer the question whether operationalization of BI, Organizational Learning (OL) and Innovation and utilization of their applications can provide financial performance enhancement for these companies. As mentioned above, the statistical population of this research is innovation companies Located in Science Park with 400 staff and according to Morgan table, 196 employees of these companies were picked as statistical case. Info accumulation tool is the questionnaire whose validity and reliability have been measured. Research findings demonstrate that BI and innovation have a critical influence on the companies conduct. But there was no meaningful relationship between OL and financial performance of these companies.  相似文献   

2.
Company movements and market changes often are headlines of the news, providing managers with important business intelligence (BI). While existing corporate analyses are often based on numerical financial figures, relatively little work has been done to reveal from textual news articles factors that represent BI. In this research, we developed BizPro, an intelligent system for extracting and categorizing BI factors from news articles. BizPro consists of novel text mining procedures and BI factor modeling and categorization. Expert guidance and human knowledge (with high inter-rater reliability) were used to inform system development and profiling of BI factors. We conducted a case study of using the system to profile BI factors of four major IT companies based on 6859 sentences extracted from 231 news articles published in major news sources. The results show that the chosen techniques used in BizPro – Naïve Bayes (NB) and Logistic Regression (LR) – significantly outperformed a benchmark technique. NB was found to outperform LR in terms of precision, recall, F-measure, and area under ROC curve. This research contributes to developing a new system for profiling company BI factors from news articles, to providing new empirical findings to enhance understanding in BI factor extraction and categorization, and to addressing an important yet under-explored concern of BI analysis.  相似文献   

3.
The development of artificial intelligence (AI) technology expands the boundary of business practice, inducing the emergence and application of business intelligence (BI) that has promoted the transformation of information techniques to optimize business decision and operation. However, there is a lack of theoretical consensus and measurement of the technology embedded in BI at present. This study exploratively develops the Sense-Transform-Drive (STD) conceptual model of BI based on dynamic capabilities theory and organizational evolutionary theory to explain the core BI capabilities. By using factoring analysis and structural equation modeling analysis, we extract the latent constructs and empirically verify the validity of the STD model and further examine the correlation and mode of interaction of the three core BI capabilities and the impact of BI application on firm performance in the real economy with a sample contextual to Chinese business practices. The study results show that there are direct and high-intensity cumulative positive effects among the structural components of the STD conceptual model and BI-related dynamic capabilities can enhance operating efficiency and firm performance.  相似文献   

4.
Medical crowdfunding helps low-income patients raise money for medical treatment and has grown tremendously in recent years. The most appropriate messaging strategy for writing charitable appeals to attract donations remains unclear. This study fills this gap by drawing on Aristotle's three modes of persuasion to explore factors affecting willingness to donate to medical crowdfunding projects from three aspects: logos, pathos, and ethos. This study adopted a multi-method approach by conducting two laboratory experiments (N = 125 and N = 123) and a field study (N = 1645). Analysis of variance (ANOVA) in Study 1 showed that high information quality (F = 9.774, p = 0.002) and gain frame (F = 8.620, p = 0.004) have positive effects on the trustworthiness of the project initiator (ethos), which in turn promoting potential donors’ willingness to donate (β = 0.339, p = 0.001). Study 2 confirmed the findings about information quality in Study 1, and further show that there was no significant difference between gain-first and gain-last frame on trustworthiness and willingness to donate (p > 0.05). Then, information quality is further detailed into three sub-dimensions in Study 3: text length, number of images, and number of health-related words. The results of ordinary least squares (OLS) regression with robust standard error indicate that the text length (β = 0.350, p < 0.001) and number of images (β = 0.048, p < 0.001) positively influence donation behavior, but the opposite conclusion yields health-related words (β = -0.027, p < 0.01). This study provides theoretical insights into the role of medical crowdfunding charitable appeals by verifying the persuasion effects of rational, emotional, and credibility appeals. This study also contributes to persuasion theory by highlighting the role of emotional appeals and identifying the mediating impact of credibility appeals in the context of medical crowdfunding. This study also has important practical implications by guiding funders to write persuasive charity appeals that will attract the attention of potential donors.  相似文献   

5.
Cyberchondria is conceptualized as excessive online searches for medical information, which is typically accompanied by feelings of emotional distress or anxiety. While previous studies in this nascent area have identified various psychological predictors of cyberchondria, a relative dearth of research has explored the role of different online information sources in its development. Informed by the stimulus-organism-response (SOR) model and the literature on cyberchondria, this study proposes a theoretical framework to explain why people develop cyberchondria when seeking medical information via different online sources. Based on a three-wave panel survey (N = 654), our findings suggest that health information seeking via online search engines increases online information overload (β = 0.11, p = .02), while health information seeking via social media platforms and health-specific websites increases online information trust (β = 0.13, p = .005; β = 0.25, p < .001). Additionally, online information overload is negatively related to online information trust (β = -0.39, p < .001). Subsequently, both online information overload and online information trust trigger cyberchondria (β = 0.73, p < .001; β = 0.15, p < .001). This study can contribute to the literature by expanding and deepening our understanding of cyberchondria developmental trajectory as well as emphasizing the pivotal role of online information sources in this complicated and dynamic process.  相似文献   

6.
With the emergence of Delta strains in many regions of China, population health issues have aroused great concern in many industries. Therefore, it is necessary to intervene in population health management through a variety of means. This paper establishes an economic intervention model of cognitive computing to evaluate the health of population health management innovation, track the health risks of the population and actively manage the relationship between population health. This paper establishes a health assessment model based on cognitive computing and uses a population health survey to evaluate the physical condition, illness, and life index of 64 citizens in this city before and after the economic intervention. The results of the study show that when economic dynamics test indicators are added to the prediction model of the post-test scores of economic intervention and health status, the explanatory power R2 of the cognitive computing model increased by 4.8% and 3.5%, respectively. The score (β=0.36, p <0.001), IPDT ( Inventory of Piaget's Developmental Tas) intervention score (β=0.15, p = 0.025) and migration score (β=0.18, p = 0.012) can significantly predict the post-economic intervention test score (R2=51.2%, p <0.001). The pre-test score on the health status test (β=0.48, p <0.001) and the IPDT intervention score (β=0.25, p = 0.014) can significantly predict the health status post-test score (R2=32.54%, p <0.001).  相似文献   

7.
The advent of new information technology has radically changed the end-user computing environment over the past decade. To enhance their management decision-making capability, many organizations have made significant investments in business intelligence (BI) systems. The realization of business benefits from BI investments depends on supporting effective use of BI systems and satisfying their end user requirements. Even though a lot of attention has been paid to the decision-making benefits of BI systems in practice, there is still a limited amount of empirical research that explores the nature of end-user satisfaction with BI systems. End-user satisfaction and system usage have been recognized by many researchers as critical determinants of the success of information systems (IS). As an increasing number of companies have adopted BI systems, there is a need to understand their impact on an individual end-user's performance. In recent years, researchers have considered assessing individual performance effects from IS use as a key area of concern. Therefore, this study aims to empirically test a framework identifying the relationships between end-user computing satisfaction (EUCS), system usage, and individual performance. Data gathered from 330 end users of BI systems in the Taiwanese electronics industry were used to test the relationships proposed in the framework using the structural equation modeling approach. The results provide strong support for our model. Our results indicate that higher levels of EUCS can lead to increased BI system usage and improved individual performance, and that higher levels of BI system usage will lead to higher levels of individual performance. In addition, this study's findings, consistent with DeLone and McLean's IS success model, confirm that there exists a significant positive relationship between EUCS and system usage. Theoretical and practical implications of the findings are discussed.  相似文献   

8.
Business Intelligence (BI) seeks to increase the profitability of the organization by making intelligent and accurate decisions. Management accounting (MA) reports are the score-card of an operation manager's efficiency. The operational; tactical, and strategic decision types make the road to achieving the goals of a company. Further, Environmental factors may affect the supply chain or increase the costs of materials. This study aims to investigate the impact of the BI on the development of MA in industrial companies. Samples are 200 Managers of these companies. The researcher-made questionnaire was employed to collect the required data. Factor analysis by reliability and item content technique verified by 0.896 Cronbach's alpha. Results revealed that the impact of BI on the development of MA is meaningful. For the β-values, the highest and the lowest effect of variables on success of BI is for decision type and flexibility variables, respectively. However, For the t-values, it is for data quality and integration with other systems (IOS) variables, respectively. Managers in industrial companies, should pay attention to decision type and data quality more than flexibility and IOS.  相似文献   

9.
Blood transfusion can be a life-saving therapy for β-thalassemia major and β-thalassemia/HbE (β-TM) patients with chronic anemia, major caused severe iron overload particularly in β-TM patients received only blood transfusion therapy. We aim to evaluate the association of iron overload with oxidative stress, liver damage, and elevated very low density lipoprotein cholesterol (VLDL-C) in transfusion-dependent β-TM patients. Serum ferritin, malondialdehyde (MDA), liver profiles, triglycerides levels, and VLDL-C were significantly higher while total cholesterol, low-density lipoprotein cholesterol, high density lipoprotein cholesterol and total antioxidant capacity were lower in β-TM than controls. Serum ferritin was significantly correlated with MDA, liver enzymes and lipid profiles (p < 0.05). Multiple forward stepwise linear regression analyses of the significant variables showed that in these β-TM patients, independent predictors of iron overload were MDA (β = 0.410, r 2 = 0.671, p < 0.001), ALT (β = 0.493, r 2 = 0.578, p < 0.001), and VLDL-C (β = 0.253, r 2 = 0.711, p < 0.001). In conclusion, iron overload associated with increased oxidative stress, lipid peroxidation, liver damage, decreased TC, LDL-C, HDL-C and over production of VLDL-C, is significantly problem in transfusion-dependent β-TM patients. These appeared the major cause of future morbidity and mortality in β-TM patients.  相似文献   

10.
Business intelligence (BI) incorporates business research, data mining, data visualization, data tools,infrastructure, and best practices to help businesses make more data-driven choices.Business intelligence's challenging characteristics include data breaches, difficulty in analyzing different data sources, and poor data quality is consideredessential factors. In this paper, IoT-based Efficient Data Visualization Framework (IoT- EDVF) has been proposed to strengthen leaks' risk, analyze multiple data sources, and data quality management for business intelligence in corporate finance.Corporate analytics management is introduced to enhance the data analysis system's risk, and the complexity of different sources can allow accessing Business Intelligence. Financial risk analysis is implemented to improve data quality management initiative helps use main metrics of success, which are essential to the individual needs and objectives. The statistical outcomes of the simulation analysis show the increasedperformance with a lower delay response of 5ms and improved revenue analysis with the improvement of 29.42% over existing models proving the proposed framework's reliability.  相似文献   

11.
Using Lu's continuation theorem, the extension one of Manásevich-Mawhin, we study the existence of periodic solutions for p-Laplacian neutral Liénard equation of the form
(?p(x(t)-cx(t-σ))′)′+f(x(t))x′(t)+β(t)g(x(t-τ(t))=e(t).  相似文献   

12.
By means of Mawhin's continuation theorem, we study a kind of fourth-order p-Laplacian neutral functional differential equation with a deviating argument in the form:
(φp(x(t)−cx(t−δ))″)″=f(x(t))x′(t)+g(t,x(t−τ(t,|x|∞)))+e(t).  相似文献   

13.
Due to the uncertainty of the market and the intensity of rivalry, business owners and managers are often compelled to experiment with a wide variety of strategies for enhancing their company's performance. By enhancing the timeliness and quality of inputs to the decision-making process, Business Intelligence (BI) is one such idea and tool that combines operational data with analytical tools to show complex and competitive information to planners and decision-makers. Business intelligence (BI) tools help companies rapidly generate insights that guide managers toward operational efficiencies, lead them to new opportunities, and set them apart from the competition. The literature study shows that there is a debate about whether BI tools have an effect on the quality of decisions and the development of businesses. The present research explores the varied empirical facets of BI application through ML models. This study concluded with a discussion of how Machine Learning models can be used to assess the value of BI tools. Machine learning models, fed with historical data and a wealth of input features, can foresee the effect of new systems on metrics like revenue development, customer behavior, and inventory management. Using these models, businesses will be able to better evaluate potential investments in new tools and systems.  相似文献   

14.
Motivated by the seeming presence of the productivity paradox in China, this research revisits the question of how information technology (IT) affects firm performance. Leveraging the process-based view of IT, we establish a theoretical framework for the mediation factors for the relationship between IT capabilities and performance. Based on a survey of 127 companies in China, we find that a firm's management capabilities to manage both its internal and external business processes fully mediate the impact of IT on firm performance. The two management capabilities in this study are business-process management capability and supply-chain management capability. Our results show that only the coherent integration of IT capability with firm’s ability to optimize business processes and to improve management of supply chains can enhance firm performance. Firms should avoid the fallacy that IT investments are solely responsible for better firm performance. Based on our findings, we discuss the implications for research and practice.  相似文献   

15.
    智能制造是制造业转型升级的重要方向,“智能+”为制造企业转型升级赋能,推动制造业高质量发展。通过分析“智能+”、集成创新、环境动态性和创新绩效之间的关系,建立了“智能+”对制造企业创新绩效的影响机制模型,探索“智能+”对制造企业创新绩效的影响机制。通过问卷调查数据进行了实证检验。研究结果表明：“智能+”U型影响制造企业创新绩效,“智能+”U型影响集成创新,集成创新正向影响创新绩效。环境动态性正向调节“智能+”与创新绩效之间的U型关系,也正向调节“智能+”与集成创新之间的U型关系。研究结论为中国制造企业向智能制造发展提供一定的理论借鉴与启示。  相似文献   

16.
This case discusses the use of business intelligence systems in the running and optimisation of magazine distribution by a UK company. The company collects a wide range of data to help it monitor and optimise a supply chain involving subcontractors. The case study raises a number of issues which are discussed. It illustrates the variety of forces which are driving companies to adopt business intelligence systems. It demonstrates how business intelligence systems can help run business processes. It explores the problems and issues with sourcing, collecting and cleaning data. Issues around anonymisation and the concept of a ‘single version of the truth’ are discussed and ethical issues highlighted. It concludes that an understanding of the role of interpretation in data collection, collation and subsequent decision making is critical to business intelligence and calls for more research in this area.  相似文献   

17.
Using data generated by progressive nucleation mechanism on the cumulative fraction of citations of individual papers published successively by a hypothetical author, an expression for the time dependence of the cumulative number Lsum(t) of citations of progressively published papers is proposed. It was found that, for all nonzero values of constant publication rate ΔN, the cumulative citations Lsum(t) of the cumulative N papers published by an author in his/her entire publication career spanning over T years may be represented in distinct regions: (1) in the region 0 < t < Θ0 (where Θ0 ≈ T/3), Lsum(t) slowly increases proportionally to the square of the citation time t, and (2) in the region t > Θ0, Lsum(t) approaches a constant Lsum(max) at T. In the former region, the time dependence of Lsum(t) of an author is associated with three parameters, viz. the citability parameter λ0, the publication rate ΔN and his/her publication career t. Based on the predicted dependence of Lsum(t) on t, a useful scientometric age-independent measure, defined as citation acceleration a = Lsum(t)/t2, is suggested to analyze and compare the scientific activities of different authors. Confrontation of the time dependence of cumulative number Lsum(t) of citations of papers with the theoretical equation reveals one or more citation periods during the publication careers of different authors.  相似文献   

18.
商华  陈任飞 《科研管理》2018,39(10):79-89
企业的动态能力和可持续发展已是学术探讨的一个重要命题。可持续发展作为一种管理趋势,在现代组织战略管理中发挥着日益重要的作用。但现有文献对于如何将可持续发展更加动态化同时与企业战略相结合转化为企业绩效及其过程研究较为匮乏。本研究基于资源管理视角,通过收集163个企业管理人员调研数据并使用最小二乘结构方程模型进行建模（PLS-SEM）分析了动态可持续能力对企业可持续绩效的全面影响及其内在机制。研究结果显示：动态可持续能力由监控、捕获和重构能力构成,动态可持续能力对企业可持续绩效各维度具有显著正向影响,资源管理能力部分中介动态可持续能力与企业环境和社会绩效的关系,但对经济绩效没有中介效应。本研究丰富了动态能力和可持续发展理论,并为企业在面对可持续发展问题时提供有效的经营管理建议。  相似文献   

19.
Social commerce mediated by social media and social network platforms has led to the development of new business models in e-commerce and digitized the consumer decision journey. Social interaction is considered as a prerequisite for successful social commerce since consumers now expect an interactive and social experience while making purchase decisions. Drawing on word of mouth (WOM) and observational learning theories, we conceptualize social interactions in social commerce environments into two forms: WOM communication and observing other consumers’ purchases, and examine their impact on consumer purchase intention and actual purchase behavior. Analyzing primary data (n = 217) collected from surveyed active consumers within social commerce sites at two stages (pre-purchase and post-purchase), we found that positive and negative valence WOM, WOM content, and observing other consumers’ purchases significantly affect consumers’ intention to buy a product, thereby increasing the likelihood of actual buying and sharing product information with others on social commerce sites.  相似文献   

20.
Evidence suggests that some factors can determine the successful implementation of strategic IT systems, i.e. Business Intelligence (BI). Although BI systems can provide companies with insights into their business operations they are painstakingly difficult to implement. Most frequently, employee resistance and change management related issues have been identified as the main causes of system implementation failure. This is particularly true for Chinese firms, where cultural nuances such as personalism and particularism serve as powerful barriers to ‘intelligence’ sharing. In this case study, we report how Chinese CEOs can overpower these restraining forces to facilitate implementation success. Preliminary evidence from our case firm suggests that a strong, committed and adaptive leadership style provides a basis for effective BI exploitation. Further, we also identify some strategic and tactical actions that Chinese CEOs can use to foster a knowledge sharing culture that is conducive to BI systems implementation.  相似文献   

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