[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.