图书情报工作

图书情报工作 >

2019 , Vol. 63 >Issue 12: 94 - 104

DOI: https://doi.org/10.13266/j.issn.0252-3116.2019.12.013

情报研究

移动图书馆情景感知信息推荐服务用户接受行为研究

  • 李贺 ,
  • 侯力铁 ,
  • 祝琳琳
展开
  • 1. 吉林大学管理学院 长春 130022;
    2. 长春中医药大学图书馆 长春 130117
李贺(ORCID:0000-0001-8847-3619),教授,博士生导师;祝琳琳(ORCID:0000-0003-3749-6954),博士研究生。

收稿日期: 2019-02-26

  修回日期: 2019-04-19

  网络出版日期: 2019-06-20

收起

Research on User Acceptance Behavior of Awareness-based Information Recommendation Service in Mobile Library

  • Li He ,
  • Hou Litie ,
  • Zhu Linlin
Expand
  • 1. School of Management, Jilin University, Changchun 130022;
    2. Changchun University of Chinese Medicine, Changchun 130117

Received date: 2019-02-26

  Revised date: 2019-04-19

  Online published: 2019-06-20

Fold

摘要

[目的/意义]基于多理论假设，为移动图书馆平台提供基于情景感知的信息推荐服务提供理论和实证依据，以丰富移动图书馆个性化服务的内容。[方法/过程]结合技术接受行为理论、创新扩散理论和感知风险理论，构建基于情景感知的信息推荐服务用户接受行为影响因素模型，并运用逻辑回归方法进行实证研究。[结果/结论]情景感知信息推荐服务作为移动图书馆信息服务的新方式，有着个性化的显著优势。同时，技术和设备的兼容为移动图书馆情景感知信息推荐服务提供了外部动力和重要保障。

关键词： 创新扩散理论; 情景感知; 信息服务

本文引用格式

李贺 , 侯力铁 , 祝琳琳 . 移动图书馆情景感知信息推荐服务用户接受行为研究[J]. 图书情报工作, 2019 , 63(12) : 94 -104 . DOI: 10.13266/j.issn.0252-3116.2019.12.013

Abstract

[Purpose/significance] Based on the multi-theoretical hypothesis, this study provides a theoretical and empirical basis for the information service of intelligent libraries.[Method/process] Combining the theory of technology acceptance behavior, innovation diffusion theory and perceived risk theory, this paper constructs a model of influencing factors of user acceptance behavior of information recommendation service based on context awareness-based perception, and makes an empirical study using logistic regression method.[Result/conclusion] The results show that although users pay attention to the usefulness, ease of use and compatibility of the recommendation service based on situational awareness information, they also pay attention to the protection of privacy such as situational information.

Key words： innovation diffusion theory (IDT); context awareness; information service

参考文献

[1] NOH Y. Imagining library 4.0:creating a model for future libraries[J]. Journal of academic librarianship, 2015, 41(6):786-797.
[2] NOH Y. A study on next-generation digital library using context-awareness technology[J]. Library hi tech, 2013, 31(2):236-253.
[3] CHEN L D, NATH R. A framework for mobile business applications[J]. International journal of mobile communications, 2004, 2(4):368.
[4] HENRICKSEN K, INDULSKA J, RAKOTONIRAINY A. Modeling context information in pervasive computing systems[C]//International conference on pervasive computing. Berlin:Springer, 2002.
[5] GUERMAH H, FISSAA T, HAFIDDI H, et al. A semantic approach for service adaptation in context-aware environment[J]. Procedia computer science, 2014-(34):587-592.
[6] HECKMANN D, SCHWARTZ T, BRANDHERM B, et al. Gumo-the general user model ontology[C]//International conference on user modeling. Berlin:Springer-Verlag, 2005.
[7] MEHTA B, NIEDEREE C, STEWART A, et al. Ontologically-enriched unified user modeling for cross-system personalization[J]. Lecture notes in computer science, 2005, 3538:119-123.
[8] RAZMERITA L, ANGEHRN A A, MAEDCHE A. Ontology-based user modeling for knowledge management systems[C]//User modeling, international conference. Johnstown:DBLP, 2003.
[9] KUO M H, CHEN L C, LIANG C W. Building and evaluating a location-based service recommendation system with a preference adjustment mechanism[J]. Expert systems with applications, 2009, 36(2):3543-3554.
[10] Lee H J, Park S J. MONERS:a news recommender for the mobile web[J]. Expert systems with applications, 2007, 32(1):143-150.
[11] STEEG F V. Context-aware recommender systems[J]. AI magazine, 2011, 32(3):335-336.
[12] KJAERGAAD M B, WIRZ M, ROGGEN D,et al.Detecting pedestrian glocks by gusion of multi-modal sensors in mobile phones[C]//Proceedings of the 12th international conference on ubiquitous computing.New York:ACM,2012:240-249.
[13] VAN ENGELENBURG S, JANSSEN M, KLIEVINK B.Designing context-aware systems:a method for understanding and analysing context in practice[J]. Journal of logical and algebraic methods in programming, 2019, 103(2):79-104.
[14] HUANG Y,MA X M,CAO J N,et al.Concurrent event detection for asynchronous consistency checking of pervasive context[EB/OL].[2019-04-14].http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4912761.
[15] EITER T, FINK M, SCHⅡLLER P, et al.finding explanations of inconsistency in multi-context systems[J].Artificial intelligence, 2014, 216(16):233-274.
[16] 焦玉英,袁静.基于情景模型的数字图书馆个性化服务研究[J].中国图书馆学报,2008(6):58-63.
[17] 姚宁,席彩丽,黄小涛,等.智慧图书馆情景感知微服务模式构建研究[J].图书馆学刊,2017,39(8):57-60.
[18] 洪跃,张海游,李静.基于用户情境模型的学科化服务[J].情报理论与实践,2010,33(07):89-92.
[19] 李书宁.情景敏感数字图书馆服务系统用户情景的本体建模[J].情报资料工作,2008(6):61-65.
[20] 胡文静,王睿.情景感知技术在构建下一代数字图书馆中的应用[J].图书馆学研究,2015(8):24-28.
[21] 张帅,郭顺利.基于情境感知的高校移动图书馆个性化推荐模型研究[J].情报探索,2014(10):6-11.
[22] 黄传慧.基于情境感知的图书馆学术信息推荐系统构建研究[J].图书馆工作与研究,2015(10):21-26.
[23] 洪亮,钱晨,樊星.移动数字图书馆资源的情境感知个性化推荐方法研究[J].现代图书情报技术,2016(Z1):110-119.
[24] 曾子明,陈贝贝.移动环境下基于情境感知的个性化阅读推荐研究[J].情报理论与实践,2015,38(12):31-36.
[25] 胡慕海,蔡淑琴,张宇,等.情境化信息推荐机制的研究[J].情报学报,2011,30(10):1053-1064.
[26] 袁静.情景感知自适应:图书馆个性化服务新方向[J].图书情报工作,2012,56(7):79-82,97.
[27] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989, 13(3):319-340.
[28] ROGERS E M. Diffusion of innovations[M].New York:The Free Press, 1983.
[29] ROGERS E M. Diffusion of innovations, 4th edition[J]. Journal of continuing education in the health professions, 1995, 17(1):62-64.
[30] AIZSTRAUTA D, GINTERS E, EROLES M A P. Applying theory of diffusion of innovations to evaluate technology acceptance and sustainability[J]. Procedia computer science, 2015,43:69-77.
[31] AGARWAL R. Individual acceptance of information technologies[J]. Framing the domains of IT management:projecting the future through the past, 2000:85-104.
[32] LU Y, YANG S, CHAU P Y K, et al. Dynamics between the trust transfer process and intention to use mobile payment services:a cross-environment perspective[J]. Information & management, 2011, 48(8):393-403.
[33] AGARWAL R, PRASAD J. The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies[J]. Decision sciences, 1997, 28(3):557-582.
[34] VAN SLYKE C, LOU H, DAY J. The impact of perceived innovation characteristics on intention to use groupware[J]. Information resources management journal, 2002, 15(1):1-12.
[35] CHEN L D, GILLENSON M L, SHERRELL D L. Enticing online consumers:an extended technology acceptance perspective[J]. Information & management, 2002, 39(8):705-719.
[36] STONE R N, GRONHAUG K. Perceived risk:further considerations for the marketing discipline[J]. European journal of marketing, 1993, 27(3):39-50.
[37] FEATHERMAN M S, PAVLOU P A. Predicting e-services adoption:a perceived risk facets perspective[J]. International journal of human-computer studies, 2003, 59(4):451-474.
[38] 何建荣,吴松瑶.高校图书馆微信用户接受和使用行为影响因素实证研究[J].图书馆研究,2018,48(5):115-121.
[39] WU J H, WANG S C. What drives mobile commerce? an empirical evaluation of the revised technology acceptance model[J]. Information & management, 2005, 42(5):719-729.
[40] 徐恺英,崔伟,洪旭东,等.图书馆移动阅读用户接纳行为影响因素研究[J].图书情报工作,2017,61(15):43-50.
[41] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989, 13(3):319-340.
[42] AGAG G, EL-MASRY A A. Understanding the determinants of hotel booking intentions and moderating role of habit[J]. International journal of hospitality management, 2016, 54:52-67.
[43] MOORE G C,BENBASAT I. Development of an instrument to measure the perceptions of adopting an information technology innovation[J]. Information systems research, 1991, 2(3):192-222.
[44] MEHMOOD Y, BARBIERI N, BONCHI F. Modeling adoptions and the stages of the diffusion of innovations[C]//IEEE international conference on data mining. Shenzhen:IEEE Computer Society, 2014:420-429.
[45] AGAG G, EL-MASRY A A. Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM:an integration of innovation diffusion theory and TAM with trust[J]. Computers in human behavior, 2016,60:97-111.
[46] NAZARI F, KHOSRAVI F, BABALHAVAEJI F. Applying Rogers' diffusion of innovation theory to the acceptance of online databases at university zone of Iran[J]. Malaysian journal of library & information science, 2013, 18(3):25-38.
[47] AMARO S, DUARTE P. An integrative model of consumers' intentions to purchase travel online[J]. Tourism management, 2015,46:64-79.
[48] YI M Y, JACKSON J D, PARK J S, et al. Understanding information technology acceptance by individual professionals:toward an integrative view[J]. Information & management, 2006, 43(3):350-363.
[49] WANG Y S, LIAO Y W. Assessing egovernment systems success:a validation of the Delone and McLean model of information systems success[J]. Government information quarterly, 2008, 25(4):717-733.
[50] KOENIG-LEWIS N, PALMER A, MOLL A. Predicting young consumers' take up of mobile banking services[J]. International journal of bank marketing, 2010, 28(5):410-432.
[51] DAVIS F D, BAGOZZI R P, WARSHAW P R,et al. User acceptance of computer technology:a comparison of two theoretical models[J]. Management science, 1989, 35(8):982-1003.
[52] CHIU C M, WANG E T G. Understanding web-based learning continuance intention:the role of subjective task value[J]. Information & management, 2008, 45(3):194-201.
[53] SHEN A X L. How social influence affects we-intention to use instant messaging:the moderating effect of usage experience[J]. Information systems frontiers, 2011, 13(2):157-169.
[54] ZIMMER J C, ARSAL R E, AL-MARZOUQ M, et al. Investigating online information disclosure:effects of information relevance, trust and risk[J]. Information & management, 2010, 47(2):115-123.
[55] 李贺,余璐,许一明,等.解释水平理论视角下的社交网络隐私悖论研究[J].情报学报,2018,37(1):1-13.
[56] 井淼,周颖,吕巍.互联网购物环境下的消费者感知风险维度[J].上海交通大学学报,2006(4):607-610.
[57] 杨瑞仙,张梦君.微信用户风险感知因素研究[J].现代情报,2016,36(5):94-97,103.
[58] 李嘉兴,王晰巍,李师萌,等.信息生态视角下老年用户群体微信使用行为影响因素研究[J].图书情报工作,2017,61(15):25-33.
Options
文章导航

/

〈 〉