移动互联网信息偶遇影响因素研究——基于关键事件技术
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摘要
[目的/意义]研究结果有助于完善信息偶遇影响因素相关研究,同时可为用户提高信息偶遇效率以及商家优化产品性能、改进服务模式提供理论基础与思路。[方法 /过程]通过半结构化访谈获取移动互联网信息偶遇关键事件,利用Nvivo11对数据进行编码分析,经过对自由节点间关系的概念化与范畴化,最终形成信息偶遇影响因素相关的22个树节点及7个核心树节点;通过分析访谈问卷,利用熵权法确定各维度影响因素的权重,表征其重要程度。[结果 /结论]移动环境下,在整个过程中信息偶遇受到了来自个体因素、工具、时空情境、任务情境、信息、网络环境、社会环境7个维度因素的影响;在信息偶遇前阶段,工具因素的影响最为突出,而在信息偶遇中、后阶段,信息因素的影响最为突出。
[Purpose/Significance] This research improved the relative studies about information encountering influence factors. Moreover,the results provided the theoretical foundation and ideas for users to develop the efficiency of information encountering and for merchants to optimize product performance and improve service pattern. [Method/Process]This research firstly utilized semi-structured interview to obtain the key incidents about information encountering in Mobile Internet. Second,Nvivo11 software was introduced to make coding analysis. After the conceptualization and categorization for the relationship among free nodes,22 tree nodes and 7 core tree nodes related to information encountering influence factors were determined. Finally,by analyzing the questionnaires,the weight of each dimension of influence factors which were used to represent its degree of importance could be obtained using entropy weight method. [Results/Conclusions] In the mobile environment,information encountering in the whole process was influenced by 7-dimension factors including individual factor,tool,temporal-spatial circumstance,information,network environment and society environment. In the earlier stage of information encountering,the factor of tool had largest effect. And in the middle and late stages,the factor of information was most noticeable for information encountering.
[Purpose/Significance] This research improved the relative studies about information encountering influence factors. Moreover,the results provided the theoretical foundation and ideas for users to develop the efficiency of information encountering and for merchants to optimize product performance and improve service pattern. [Method/Process]This research firstly utilized semi-structured interview to obtain the key incidents about information encountering in Mobile Internet. Second,Nvivo11 software was introduced to make coding analysis. After the conceptualization and categorization for the relationship among free nodes,22 tree nodes and 7 core tree nodes related to information encountering influence factors were determined. Finally,by analyzing the questionnaires,the weight of each dimension of influence factors which were used to represent its degree of importance could be obtained using entropy weight method. [Results/Conclusions] In the mobile environment,information encountering in the whole process was influenced by 7-dimension factors including individual factor,tool,temporal-spatial circumstance,information,network environment and society environment. In the earlier stage of information encountering,the factor of tool had largest effect. And in the middle and late stages,the factor of information was most noticeable for information encountering.
引文
[1] Erdelez S. Information Encountering:An Exploration Beyond Information Seeking[D]. Syracuse:Syracuse University,1995.
[2] Erdelez S. Investigation of Information Encountering in the Controlled Research Environment[J]. Information and Processing Management,2004,40(6):1013-1025.
[3] Williamson K. Discovered by Chance:The Role of Incidental Information Acquisition in an Ecological Model of Information Use[J]. Library&Information Science Research,2004,20(1):23-40.
[4] Heinstrom J. Psychological Factors Behind Incidental Information Acquisition[J]. Library&Information Science Research,2006,28(4):579-594.
[5]蔡怡欣,黄元鹤.线上咨询偶遇经验与个人特征之研究[J].图书馆学与咨询科学,2010,36(2):16-34.
[6]郭海霞.网络浏览中的信息偶遇调查和研究[J].情报杂志,2013,32(4):47-50.
[7]潘曙光.不同情境下的信息偶遇研究[J].情报探索,2012,(8):15-18.
[8]田立忠,俞碧飏.科研人员信息偶遇的影响因素研究[J].情报科学,2013,31(4):69-75.
[9] Erdelez S. Information Encountering:A Conceptual Framework for Accidental Information Discovery[C]//Proceedings of International Conference on Research in Information Needs,Seeking and Use in Different Contexts. London:Taylor Graham,1997:412-421.
[10] Rubin L V,Burkell J. Everyday Serendipity as Described in Social Media[C]//Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Steeams in an Information Ecosystem. Silver Spring:ASIS&T,2010,47(1):1-2.
[11] Dantonio L,Makri S,Blandford A. Coming Across Academic Social Media Content Serendipitously[C]//Proceedings of the American Society for Information Science&Technology,2012,49(1):1-10.
[12] Jiang T. A Clickstream Data Analysis of Users'Information Seeking Modes in Social Tagging Systems[C]//. Proceedings of2014 i Conference,2014:314-328.
[13] Lu C J. Accidental Discovery of Information on the User-defined Social Web:A Mixed-method Study[D]. Pittsburgh:University of Pittsburgh,2012.
[14] Mc Cay-Peet L,Toms E G,Kelloway E K. Examination of Relationships Among Serendipity, the Environment, and Individual Differences[J]. Information Processing&Management 2015,51:391-412.
[15] Panahi S,Watson J,Partridge H. Information Encountering on Social Media and Tacit Knowledge Sharing[J]. Journal of Information Science,2016,42(4):539-550.
[16]陈为东,王萍,王益成.学术新媒体环境下用户信息偶遇要素及内在机理研究[J].情报理论与实践,2018,41(2):28-33,45.
[17]杨敏,谢阳群,谢笑.社交媒体软件的信息偶遇研究[J].图书馆学研究,2016,(6):65-68.
[18] Flanagan J C. The Critical Incident Technique[J]. Psychological Bulletin,1954,51(4):327-358.
[19]李晶.关键事件技术-通过获取关键事件进行实证研究的有效工具[J].图书情报知识,2010,(1):26-30,76.
[20]王萍,王毅,罗军,等.关键事件技术和主成分分析法在高校图书馆服务质量评价中的应用[J].情报理论与实践,2012,35(12):79-85.
[21] Perreault W D,Leigh L E. Reliability of Nominal Data Based on Qualitative Judgments[J]. Journal of Marketing Research,1989,26(2):135.
[22] Hambleton R K,Swaminathan H,Algina J,et al. Criterionreferenced Testing and Measurement:Review of Technical Issues and Developments[J]. Rev. Educat. Res.,1978,48(1):11-22.
[23] Martuza V R. Applying Norm-referenced and Criterion-referenced Measurement in Education[M]. Boston:Allyn&Bacon,1977:275-293.
[24]安传艳.基于熵权法的河南省城市旅游竞争力分析[J].重庆师范大学学报:自然科学版,2014,31(1):102-108.
[25]田梅.网络浏览中偶遇信息分享行为影响因素扎根分析[J].图书与情报,2015,(5):117-122.
[2] Erdelez S. Investigation of Information Encountering in the Controlled Research Environment[J]. Information and Processing Management,2004,40(6):1013-1025.
[3] Williamson K. Discovered by Chance:The Role of Incidental Information Acquisition in an Ecological Model of Information Use[J]. Library&Information Science Research,2004,20(1):23-40.
[4] Heinstrom J. Psychological Factors Behind Incidental Information Acquisition[J]. Library&Information Science Research,2006,28(4):579-594.
[5]蔡怡欣,黄元鹤.线上咨询偶遇经验与个人特征之研究[J].图书馆学与咨询科学,2010,36(2):16-34.
[6]郭海霞.网络浏览中的信息偶遇调查和研究[J].情报杂志,2013,32(4):47-50.
[7]潘曙光.不同情境下的信息偶遇研究[J].情报探索,2012,(8):15-18.
[8]田立忠,俞碧飏.科研人员信息偶遇的影响因素研究[J].情报科学,2013,31(4):69-75.
[9] Erdelez S. Information Encountering:A Conceptual Framework for Accidental Information Discovery[C]//Proceedings of International Conference on Research in Information Needs,Seeking and Use in Different Contexts. London:Taylor Graham,1997:412-421.
[10] Rubin L V,Burkell J. Everyday Serendipity as Described in Social Media[C]//Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Steeams in an Information Ecosystem. Silver Spring:ASIS&T,2010,47(1):1-2.
[11] Dantonio L,Makri S,Blandford A. Coming Across Academic Social Media Content Serendipitously[C]//Proceedings of the American Society for Information Science&Technology,2012,49(1):1-10.
[12] Jiang T. A Clickstream Data Analysis of Users'Information Seeking Modes in Social Tagging Systems[C]//. Proceedings of2014 i Conference,2014:314-328.
[13] Lu C J. Accidental Discovery of Information on the User-defined Social Web:A Mixed-method Study[D]. Pittsburgh:University of Pittsburgh,2012.
[14] Mc Cay-Peet L,Toms E G,Kelloway E K. Examination of Relationships Among Serendipity, the Environment, and Individual Differences[J]. Information Processing&Management 2015,51:391-412.
[15] Panahi S,Watson J,Partridge H. Information Encountering on Social Media and Tacit Knowledge Sharing[J]. Journal of Information Science,2016,42(4):539-550.
[16]陈为东,王萍,王益成.学术新媒体环境下用户信息偶遇要素及内在机理研究[J].情报理论与实践,2018,41(2):28-33,45.
[17]杨敏,谢阳群,谢笑.社交媒体软件的信息偶遇研究[J].图书馆学研究,2016,(6):65-68.
[18] Flanagan J C. The Critical Incident Technique[J]. Psychological Bulletin,1954,51(4):327-358.
[19]李晶.关键事件技术-通过获取关键事件进行实证研究的有效工具[J].图书情报知识,2010,(1):26-30,76.
[20]王萍,王毅,罗军,等.关键事件技术和主成分分析法在高校图书馆服务质量评价中的应用[J].情报理论与实践,2012,35(12):79-85.
[21] Perreault W D,Leigh L E. Reliability of Nominal Data Based on Qualitative Judgments[J]. Journal of Marketing Research,1989,26(2):135.
[22] Hambleton R K,Swaminathan H,Algina J,et al. Criterionreferenced Testing and Measurement:Review of Technical Issues and Developments[J]. Rev. Educat. Res.,1978,48(1):11-22.
[23] Martuza V R. Applying Norm-referenced and Criterion-referenced Measurement in Education[M]. Boston:Allyn&Bacon,1977:275-293.
[24]安传艳.基于熵权法的河南省城市旅游竞争力分析[J].重庆师范大学学报:自然科学版,2014,31(1):102-108.
[25]田梅.网络浏览中偶遇信息分享行为影响因素扎根分析[J].图书与情报,2015,(5):117-122.
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