The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance     

《International Journal of Information Management》2020

Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm.  相似文献   

数据驱动视野下高校智慧图书馆建设及服务规划——兼论“十四五”时期智慧图书馆发展路径     

邵波  许苗苗  王怡 《图书情报工作》2021,65(1):41-46

[目的/意义] 在科研全面数据化和“十四五”规划的背景下，高校图书馆建设方向和路径对教学和科研具有重大影响，本文旨在提出图书馆智慧化转型的下一步落地和实践思路。[方法/过程] 梳理高校图书馆发展现状，解析发展新态势，以数据意识为出发点，尝试构建智慧图书馆在技术、服务、空间等方面的发展方案。[结果/结论] 智慧图书馆的建设应重点在智能设备、智慧服务平台和智慧空间上“下深功”，此外还需在馆员角色和联盟建设上深入思考。  相似文献   

From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets     

《International Journal of Information Management》2021

In recent years, strategies focused on data-driven innovation (DDI) have led to the emergence and development of new products and business models in the digital market. However, these advances have given rise to the development of sophisticated strategies for data management, predicting user behavior, or analyzing their actions. Accordingly, the large-scale analysis of user-generated data (UGD) has led to the emergence of user privacy concerns about how companies manage user data. Although there are some studies on data security, privacy protection, and data-driven strategies, a systematic review on the subject that would focus on both UGD and DDI as main concepts is lacking. Therefore, the present study aims to provide a comprehensive understanding of the main challenges related to user privacy that affect DDI. The methodology used in the present study unfolds in the following three phases; (i) a systematic literature review (SLR); (ii) in-depth interviews framed in the perspectives of UGD and DDI on user privacy concerns, and finally, (iii) topic-modeling using a Latent Dirichlet allocation (LDA) model to extract insights related to the object of study. Based on the results, we identify 14 topics related to the study of DDI and UGD strategies. In addition, 14 future research questions and 7 research propositions are presented that should be consider for the study of UGD, DDI and user privacy in digital markets. The paper concludes with an important discussion regarding the role of user privacy in DDI in digital markets.  相似文献   

Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton     

Olivier Dieu  Christophe Schnitzler  Clément Llena  François Potdevin 《Journal of sports sciences》2020,38(17):1943-1952

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.  相似文献   

Digital Module 16: Longitudinal Data Analysis     

Jeffrey R. Harring  Tessa L. Johnson 《Educational Measurement》2020,39(3):137-138

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.  相似文献   

“健康中国2030”战略下健康数据协同治理体系研究     

周知  胡昌平 《图书情报工作》2021,65(1):102-109

[目的/意义] 提升公民健康水平是经济社会发展到一定程度后的必然要求，健康数据协同治理体系的构建有助于从信息科学角度达成这一要求，治理体系需要以国家战略为宏观指导，全方位服务于公民健康水平提升的总体目标。[方法/过程] 通过对《"健康中国2030"规划纲要》文本精神的领会，在分析了各治理主体对健康信息治理需求的基础上，提出一种面向"健康中国2030"战略的健康数据协同治理体系，并针对关键环节提出保障措施。[结果/结论] 协调各层级、各部门与各利益主体的健康数据治理体系构建与保障，有助于在推动国家健康战略目标的同时实现健康数据的社会价值，拓展健康信息学的研究范畴。  相似文献   

人类发展指数水平与足球运动发展的或然关系——基于面板数据的实证研究     

傅鸿浩  刘波  张廷安  龚波  郭振  肖辉 《武汉体育学院学报》2020,54(11):20-26

足球运动在世界范围内的普及化与社会化程度日益增强，各国（地区）若要获得全球化竞争中的优势，应注重探讨社会与足球运动发展的关系。通过对1993-2017年131个国家（地区）的人类发展指数与足球排名积分的面板数据建模，以揭示两者之间的关系。研究结果表明，不同国家（地区）的人类发展指数对足球运动发展的影响应建立个体和时点双固定效应模型，模型最高的R²为0.871 32，F检验值为71.014 65，P<0.001，该模型具备较高的解释能力。结论：固定效应模型在考虑历时性因素与不宜观测因素后，在1993-2017年阶段，人类发展指数对于足球运动的发展作用存在分化现象，尤其对亚洲与人口大国的足球运动发展存在制约作用，对南美洲与中等人口国家存在促进作用，人类发展指数与足球运动发展存在一定的或然关系。人类发展指数反映了社会发展的综合水平，对于存在制约效应的国家而言，应当着重考虑社会其它领域（经济、教育、医疗卫生等）与足球运动的互动、协同与融合发展。  相似文献   

Subjective well-being in cultural advocacy: a politics of research between the market and the academy     

Susan Oman  Mark Taylor 《Journal of Cultural Economy》2018,11(3):225-243

This paper responds to a trend of contracting out subjective well-being econometrics to demonstrate social return on investment (SROI) for evidence-based policy-making. We discuss an evolving ecology of ‘external’ research taking place ‘between’ the academy and commercial consultancy. We then contextualise this as waves of research methodologies and consultancy for the cultural sector. The new model of ‘external between’ consultancy research for policy is not only placed between the University and the market, but also facilitates discourse between policy sectors, government, the media and the academy. Specifically, it enables seductive but selective arguments for advocacy that claim authority through academic affiliation, yet are not evaluated for robustness. To critically engage with an emergent form of what Stone calls ‘causal stories’, we replicate a publicly funded externally commissioned SROI model that argues for the value of cultural activities to well-being. We find that the author’s operationalisation of participation and well-being are crucial, yet their representation of the relationship problematic, and their estimates questionable. This case study ‘re-performs’ econometric modelling national-level survey data for the cultural sector to reveal practices that create norms of expertise for policy-making that are not rigorous. We conclude that fluid claims to authority allow experimental econometric models and measures to perform across the cultural economy as if ratified. This new model of advocacy research requires closer academic consideration given the changing research funding structures and recent attention to expertise and the contracting out of public services.  相似文献   

Work in Progress: The PCC Task Group on Metadata Application Profiles     

Jodi Williamschen 《Cataloging & classification quarterly》2020,58(3-4):458-463

Abstract

The Program for Cooperative Cataloging (PCC) Task Group on Metadata Application Profiles was convened in May 2019 to help the PCC understand issues and practices associated with the management of metadata application profiles. Their work, discussed here, will guide future decisions and implementations of metadata application profiles in cataloging.  相似文献   

MARC to BIBFRAME: Converting the PCC to Linked Data     

Jacquie Samples  Ian Bigelow 《Cataloging & classification quarterly》2020,58(3-4):403-417

Abstract

The Program for Cooperative Cataloging (PCC) has formal relationships with the Library of Congress (LC), Share-VDE, and Linked Data for Production Phase 2 (LD4P2) for work on Bibliographic Framework (BIBFRAME), and PCC institutions have been very active in the exploration of MARC to BIBFRAME conversion processes. This article will review the involvement of PCC in the development of BIBFRAME and examine the work of LC, Share-VDE, and LD4P2 on MARC to BIBFRAME conversion. It will conclude with a discussion of areas for further exploration by the PCC leading up to the creation of PCC conversion specifications and PCC BIBFRAME data.  相似文献