理论研究

移动图书馆信息接受情境粘滞模型研究

  • 王福 ,
  • 毕强
展开
  • 1. 内蒙古工业大学图书馆 呼和浩特 010051;
    2. 吉林大学管理学院 长春 130022
王福(ORCID:0000-0003-1105-3573),副研究馆员,博士研究生。

收稿日期: 2017-12-15

  修回日期: 2018-03-07

  网络出版日期: 2018-06-20

基金资助

本文系内蒙古自治区高等学校科学研究项目"高校图书馆数字资源不同聚合方法多维度融合的理论体系研究"(项目编号:NJTZ1604)和内蒙古2017年社会科学规划项目"媒体融合视角下的移动图书馆用户信息行为特征及其规律研究"(项目编号:2017NDB073)研究成果之一。

Research on the Model of Information Acceptance Context Stickiness in Mobile Library

  • Wang Fu ,
  • Bi Qiang
Expand
  • 1. Inner Mogolia University of Technology Library, Hohhot 010051;
    2. School of Management, Jilin University, Changchun 130022

Received date: 2017-12-15

  Revised date: 2018-03-07

  Online published: 2018-06-20

摘要

[目的/意义]移动图书馆信息接受情境粘滞是阻碍信息接受的活跃性因素。降低信息接受情境粘滞度,增强移动图书馆信息接受的"场景-行为-情境"适配功效,是提升移动图书馆场景服务能力、实现移动图书馆服务创新的关键。[方法/过程]通过探索移动图书馆信息接受情境粘滞的形成动因,运用情境适配理论和阻滞增长模型理论,构建移动图书馆信息接受情境粘滞模型;运用Matlab动态模拟移动图书信息接受的场景要素、情境要素和适配要素对移动图书馆信息接受情境粘滞的影响。[结果/结论]实验结果显示:移动图书馆信息接受情境粘滞在不同的阶段呈现不同的特征,粘滞度过小会使移动图书馆信息接受情境对移动服务场景产生剧烈的震荡作用,粘滞度过大则会使移动图书馆信息接受场景过分依赖于信息接受情境。

本文引用格式

王福 , 毕强 . 移动图书馆信息接受情境粘滞模型研究[J]. 图书情报工作, 2018 , 62(12) : 12 -20 . DOI: 10.13266/j.issn.0252-3116.2018.12.002

Abstract

[Purpose/significance] The sticky context of mobile library information is an active factor that hinders the acceptance of information. Reducing the sticky degree of information acceptance context and enhancing the adaptation effect of "Scence-Behavior-Context" of information acceptance in mobile library is the key to enhance mobile library's scene service ability and realize the innovation of mobile library services.[Method/process] Through the formation of motivation research of mobile library information acceptance context stickiness, the use of context adaptation theory and block growth model theory, the model of mobile library information acceptance context of stickiness effects was constructed; mobile library information scene elements, accept context factors and adaptation factors on mobile library information acceptance context was simulated by the Matlab dynamic viscosity.[Result/conclusion] Experimental results show that the mobile library information to accept the context of stickiness has different characteristics in different stages. Too small stickiness will make the mobile library information acceptance context to produce severe shock effect on mobile service scene, while the large viscous will make the mobile library information acceptance scene relies on the information acceptance context.

参考文献

[1] CHAVEESUK S, VONGJATURAPAT S, CHOTIKAKAMTHORN N. Analysis of factors influencing the mobile technology acceptance for library information services:conceptual model[C]//International conference on information technology and electrical engineering.Yogyakarta:IEEE, 2013:18-24.
[2] TELLA A. Predicting users' acceptance of e-library from the perspective of technology acceptance model[J]. International journal of digital library systems, 2017, 2(4):34-44.
[3] JOO Y J, LEE H W, HAM Y. Integrating user interface and personal innovativeness into the TAM for mobile learning in Cyber University[J].Journal of computing in higher education, 2014, 26(2):143-158.
[4] CASALS A, BRANDÃO A A F. Modeling a mobile learning context data ontology[C]//World engineering education conference. Santos:IEEE, 2017:71-75.
[5] POMBINHO P, AFONSO A P, CARMO M B.Chameleon——a context adaptive visualization framework for a mobile environment[C]//International conference on information visualisation. London:IEEE Computer Society, 2011:151-157.
[6] CHUN-HUA Y U, LIU X J, BIN L I, et al. Mobile service recommendation based on context similarity and social network[J]. Acta electronica sinica, 2017, 45(6):1530-1536.
[7] LAAKKO T. Context-aware web content adaptation for mobile user agents[M]//Evolution of the web in artificial intelligence environments. Berlin:Springer, 2008:69-99.
[8] LIANG W Y. The adaptation of a post-acceptance model for information system continuance in recommender systems[C]//Iiai international congress on advanced applied informatics. Hamamatsu, Shizuoka, Japan:IEEE Computer Society, 2017:369-372.
[9] ALFARESI S. The need for an adoption and acceptance framework for mobile digital library services[J]. International journal of Internet technology & secured transactions, 2012, 1(1/2):42-51.
[10] THIGA M M, SIROR J K, GITHEKO J M. An SMS and USSD model for location-based mobile advertising[J]. Ijcset Com, 2013:1070-1083.
[11] HÖPKEN W, FUCHS M, ZANKER M, et al. Context awareness within mobile services[C]//International conference on human-computer interaction with mobile devices and services.Espoo:Helsinki University of Technology. 2014.
[12] XU T, KUHNLENZ K, BUSS M. Information-based gaze control adaptation to scene context for mobile robots[C]//International conference on pattern recognition. Tampa, FL,:IEEE, 2008:1-4.
[13] RASCHE A, POLZE A. Configurable services for mobile users[C]//International workshop on object-oriented real-tTime dependable systems. New York:IEEE, 2002:163-170.
[14] RYU H, PARK I, HYUN S J, et al. A task decomposition scheme for context aggregation in personal smart space[M]//Software technologies for embedded and ubiquitous systems. Berlin Heidelberg:Springer, 2007:20-29.
[15] KARAHANNA E,POLITES G L,SELIGMAN L, et al.Consumer e-satisfaction and site stickiness:an empirical iInvestigation in the context of online hotel reservations[C]//Hawaii international conference on system sciences. Big Island:IEEE Computer Society, 2009:1-10.
[16] POLITES G L, WILLIAMS C K, KARAHANNA E,et al.A theoretical framework for consumer e-satisfaction and site stickiness:an evaluation in the context of online hotel reservations[J]. Journal of organizational computing and electronic commerce, 2012, 22(1):1-37.
[17] DANG E K F, LUK R W P, ALLAN J. Beyond bag-of-words:Bigram-enhanced context-dependent term weights[J]. Journal of the Association for Information Science & Technology, 2014, 65(6):1134-1148.
[18] 隗静秋.场景革命背景下数字出版用户需求满足探析[J].中国出版,2017(4):9-12.
[19] 李纲,巴志超.科研团队中知识粘滞的影响因素研究[J].中国图书馆学报,2017(1):89-106.
[20] 百度百科.粘滞性[EB/OL].[2017-03-25].http://baike.baidu.com/item/%E7%B2%98%E6%BB%9E%E6%80%A7.
[21] 孔珑.工程流体力学[M].北京:水利水电出版社,1992.
[22] 刘国新,杨坤.分布式创新网络中的知识粘滞度探讨——基于四维粘滞情境的视角[J].科学学研究,2012(9):1421-1427.
[23] 蒋一平.图书馆粘滞知识测度模型研究[J].现代情报,2015(2):36-40.
[24] 杨坤,胡斌.分布式创新网络中节点间知识粘滞的动态机制模型研究-基于"理性经济节点"的研究假设[J].科技进步与对策,2015(20):132-140.
[25] 刘茜,欧阳宏生.场景力:移动时代传媒核心竞争力[J].新闻战线,2018(1):67-69.
[26] 彭兰.场景:移动时代媒体的新要素[J].新闻记者,2015(3):20-27.
[27] 江惠婷,魏景赋,郭健全.移动时代科普信息传播中的场景适配[J].科普研究,2016(1):22-24,32,96-97.
[28] 王福,聂兰渤,郝喜凤.移动图书馆场景化信息接受适配功能设计研究[J].图书馆建设,2018(3):65-71,80.
[29] 斯考伯,伊斯雷尔.即将到来的场景时代[M].赵乾坤,陈继东,译. 北京:北京联合出版公司,2014.
[31] 龚捷. 场景时代移动阅读新需求与移动出版发展路径[J].编辑之友,2016(10):22-25.
[30] 张超,周怡.从跨界到颠覆:2015年网络传播研究综述[J].现代视听,2016(2):34-41.
[33] 王福,毕强.移动图书馆场景化信息接受情境重组研究[J].图书馆建设,2017(12):39-45.
[34] 王毅,吴贵生.产学研合作中粘滞知识的成因与转移机制研究[J].科研管理,2001(6):114-121.
[35] 王福,聂兰渤,郝喜凤.移动图书馆场景化信息接受畅融合研究[J].图书馆学研究,2018(2):77-83.
[36] 王福.移动图书馆情境与信息行为的生态适配模型构建[J].情报理论与实践,2017,40(11):80-85,95.
[37] 王福.移动图书馆信息接受情境功能适配性机理模型构建研究[J].情报理论与实践,2017,40(9):61-66.
[38] 王福,郭红.移动图书馆信息接受情境多模式构建研究[J].图书馆,2017(9):31-38.
[39] 梁旭艳.场景传播:移动互联网时代的传播新变革[J].出版发行研究,2015(7):53-56.
[40] 毕强,李洁,晁亚男.信息接受视角下数字图书馆信息接受情境研究[J].情报理论与实践,2015(9):8-13.
[41] 毕达天,马卓,刘健.用户参与视角下移动社交网络互动特征及模式研究[J].情报理论与实践,2016(9):90-95.
[42] 冯守平.中国人口增长预测模型[J].安徽科技学院学报,2008(6):73-76.
[43] 郑洲顺,曲选辉.Logistic阻滞增长模型的稳定性与混沌[J].数学理论与应用,2003(1):56-59.
[44] 郑洲顺,曲选辉.Logistic阻滞增长模型的计算机模拟[J].计算机工程与应用,2002(23):37-39,187.
[45] 郝柏林.分岔、混沌、奇怪吸引子、湍流及其它——关于确定论系统中的内在随机性[J].物理学进展,1983(3):329-416.
[46] 刘芹,陈继祥.粘滞知识形成的影响因素及对策研究[J].情报科学,2007(5):776-779.
[47] 张敏,霍朝光,吴郁松.国际数字图书馆知识生态系统进化研究[J].图书馆,2015(10):88-93.
[48] 毕达天,晁亚男.数字图书馆信息接受情境多维建构[J].情报理论与实践,2015(9):14-19.
[49] 方宏俊,宋利,杨小康.适配分辨率动态变化的低复杂度视频场景切换检测方法[J].计算机科学,2017(2):290-295.
[50] 索传军.网络信息资源组织研究的新视角[J].图书情报工作,2013,57(7):5-12.
[51] 王东波."十三五":图书馆的发展趋势与战略转型[J].情报杂志,2016(10):76-80,159.
[52] 王福,聂兰渤.移动图书馆场景化信息接受特征及其规律研究[J].情报理论与实践,2018,41(01):122-128,110.
文章导航

/

〈 〉