Abstract
Based on the perspective of ambient intelligence, this study explores the influencing factors of consumer information-seeking behavior and its mechanism. It also introduces the two mediation variables, like information seeking motive and information seeking ability. It is proved by empirical analysis that mobile Internet trust and perceived risk have a positive impact on consumers’ information seeking effort, and the information seeking motive plays a mediating role in the influence of the mobile Internet trust and perceived risk on consumers’ information-seeking effort; mobile Internet involvement has a positive effect on the information seeking ability; However, perceived ease of use has no significant effect on information seeking ability, information seeking ability has no significant effect on information seeking effort. It is of practical significance both theoretically and practically to conduct in-depth discussions on consumers’ information seeking behavior in combination with Chinese local elements.
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References
AlShahwan F, Faisal M, Ansa G (2016) Security framework for RESTful mobile cloud computing Web services. J Ambient Intell Humaniz Comput 7(5):649–659
Althebyan Q, Yaseen Q, Jararweh Y, Al-Ayyoub M (2016) Cloud support for large scale e-Healthcare systems. Ann Telecommun 71(9–10):503–515
Armstrong N, Nugent C, Moore G, Finlay D (2010) Using smartphones to address the needs of persons with Alzheime’s disease. Ann Telecommun 65(9–10):485–495
China Internet Network Information Center (CNNIC) (2017) The 41st China statistical report on Internet development. http://www.cac.gov.cn/2018-01/31/c_1122347026.htm. Accessed 30 Aug 2018
Engel JF, Blackwell RD, Miniard PW (1986) Consumer behavior. Dryden Press, Chicago
Engel JF, Blackwell RD, Miniard PW (1995) Consumer behavior. Dryden, Fort Worth
Eynon R, Malmberg LE (2012) Understanding the online information-seeking behaviours of young people: the role of networks of support. J Comput Assist Learn 28(6):514–529
Farzan R (2010) Effect of interpersonal trust on social information seeking. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.572.9828&rep=rep1&type=pdf. Accessed 30 Aug 2018
Gupta BB, Akhtar T (2017) A survey on smart power grid: frameworks, tools, security issues, and solutions. Ann Telecommun 72(9–10):517–549
Hawkins DI, Best RJ, Coney KA (1995) Consumer behavior: implications for marketing strategy. Irwin, Chicago
Jin H, L G, Park ST, Zhu J (2016) The effects of consumer characteristics on information searching behavior in wireless mobile SNS: using SEM analysis. Wireless Pers Commun 93(1):81–96
Karsenty S (2013) Facebook and information trust. Int J Cancer 83(5):606–609
Komaki D, Oku A, Arase Y, Hara T, Uemukai T, Hattori G, Nishio S (2011) Content comparison functions for mobile co-located collaborative web search. J Ambient Intell Humaniz Comput 2(3):239–248
Li D (2000) An empirical study on consumers’ information search efforts and the influencing factors: focusing on advertising media. Nankai Bus Rev 04:52–59
Li D (2001) An empirical study on consumer information search effort in China. Nankai J 02:30–35
Li X (2011) Study on consumers mobile Internet information search behavior and influencing factors. South China University of Technology, Guangzhou
Marchionini G (1989) Information-seeking strategies of novices using a full-text electronic encyclopedia. J Am Soc Inf Sci 40(1):54–66
Mcknight DH, Choudhury V, Kacmar C (2002) Developing and validating trust measures for e-Commerce: an integrative typology. Inf Syst Res 13(3):334–359
Micucci D, Mobilio M, Napoletano P, Tisato F (2017) Falls as anomalies? An experimental evaluation using smartphone accelerometer data. J Ambient Intell Humaniz Comput 8(1):87–99
Muralidharan A, Gyongyi Z, Chi E (2012) Social annotations in web search. Sigchi conference on human factors in computing systems, ACM, pp 1085–1094
Ouyang B, Liu K (2017) An empirical study of influencing factors of user’s continuance intention to information seeking in mobile virtual community. Inf Sci 35(10):152–159
Park Y, Sur C, Rhee K-H (2016) Pseudonymous authentication for secure V2I services in cloud-based vehicular networks. J Ambient Intell Humaniz Comput 7(5):661–671
Peterson RA, Merino MC (2003) Consumer information search behavior and the Internet. Psychol Mark 20(2):99–121
Rha JY (2002) Consumers in the Internet era: essays on the impact of electronic commerce from a consumer perspective. The Ohio State University, Columbus
Rong T (2009) AMOS and research methods. Chongqing University Press, Chongqing
Srinivasan N, Ratchford BT (1991) An empirical test of a model of external search for automobiles. J Consum Res 18(2):233–242
Sun S (2009) A study of consumer information search online in China. Zhejiang University, Zhejiang
Sundaram DS, Taylor RD (1998) An investigation of external information search effort: replication in in-home shopping situations. Adv Consum Res 25(1):440–445
Wang X, Mao W, Li J (2017) A study on the relationship between information quality, perceived usefulness and continuance search: based on the survey of online food safety information. J Inf 36(2):159–164
Yang J, Lu Y (2017) Research on the influencing factors of social information search based on cognitive perspective. Inf Stud Theory Appl 40(5):44–49
Zha X, Zhang J, Yan Y, Xiao Z (2015) Does affinity matter? Slow effects of e-Quality on information seeking in virtual communities. Lib Inf Sci Res 37(1):68–76
Acknowledgements
This research was supported by National Natural Science Foundation of China (no. 71562020), China Postdoctoral Science Foundation (no. 2017M 620532) and Thirteenth Five-Year Planning (2017) research project of Jiangxi Social Science (no. 17GL05).
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Jin, H., Wang, H., Gong, C. et al. A study on the influencing factors of consumer information-seeking behavior in the context of ambient intelligence. J Ambient Intell Human Comput 11, 1397–1404 (2020). https://doi.org/10.1007/s12652-018-1005-y
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DOI: https://doi.org/10.1007/s12652-018-1005-y