{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:26:52Z","timestamp":1754155612571,"version":"3.41.2"},"reference-count":105,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T00:00:00Z","timestamp":1517875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2018,2,23]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Internet-based intangible network good (IING) has revolutionized multiple industries in recent years. This paper aims to reveal the laws of consumer\u2019s decision-making on IING from a perspective of kinetic energy and potential energy.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>In this paper, 4 aspects and 17 factors influencing IING adoption were generalized. Based on the theory of social physics, an agent-based simulation model, introducing physical energy theory to depict consumer\u2019s decision-making, was built. An agent\u2019s kinetic energy reflects the agent\u2019s perceived effect of mass media on the agent\u2019s decision-making on IING adoption. An agent\u2019s potential energy reflects the agent\u2019s perceived effect of social interactions on the agent\u2019s decision-making on the adoption of IING. An agent\u2019s final energy is the sum of the kinetic energy and potential energy, which reflects the agent\u2019s final decision.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Some factors mainly influence the diffusion velocity, while other factors have a dramatic impact on both diffusion velocity and diffusion scale. The agent\u2019s personality can make a difference at the early and middle stages of IING adoption, but a faint impact at the later stage because of the effects of network externalities and word of mouth. There is a critical value of the number of initial adopters which can dramatically speed up IING adoption.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>This study provides new insights for firms on the effects of factors influencing consumers\u2019 decision-making on IING adoption.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This paper defines a new kind of innovation, IING, and generalizes IING\u2019s special characteristics. As a new application of social physics, the physical energy theory has been creatively introduced to depict consumer\u2019s decision-making on IING adoption. A kinetic and potential energy model of IING adoption has been built. Based on simulation experiments, new insights of IING adoption have been gained.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-10-2017-0397","type":"journal-article","created":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T08:34:01Z","timestamp":1517906041000},"page":"605-635","source":"Crossref","is-referenced-by-count":4,"title":["An agent-based simulation model for IING\u2019s adoption from a perspective of kinetic energy and potential energy"],"prefix":"10.1108","volume":"47","author":[{"given":"Li","family":"Wang","sequence":"first","affiliation":[]},{"given":"Qingpu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2018,2,6]]},"reference":[{"issue":"2","key":"key2021041509363838800_ref001","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/0749-5978(91)90020-T","article-title":"The theory of planned behavior","volume":"50","year":"1991","journal-title":"Organizational Behavior and Human Decision Processes"},{"issue":"15","key":"key2021041509363838800_ref002","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","article-title":"The internet of things: a survey","volume":"54","year":"2010","journal-title":"Computer Networks"},{"volume-title":"Strong Democracy: Participatory Politics for a New Age","year":"1985","key":"key2021041509363838800_ref003"},{"issue":"5","key":"key2021041509363838800_ref004","first-page":"215","article-title":"A new product growth model for customer durables","volume":"15","year":"1969","journal-title":"Manage Sci"},{"issue":"4","key":"key2021041509363838800_ref005","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/0022-4359(93)90015-B","article-title":"The effects of perceived justice on complainants\u2019 negative word-of-mouth behavior and repatronage intentions","volume":"69","year":"1993","journal-title":"Journal of Retailing"},{"key":"key2021041509363838800_ref006","first-page":"75","article-title":"Knowledge as energy: a metaphorical analysis","volume-title":"9th European Conference on Knowledge Management","year":"2008"},{"issue":"2","key":"key2021041509363838800_ref007","doi-asserted-by":"crossref","first-page":"321","DOI":"10.2224\/sbp.2014.42.2.321","article-title":"Influence of characteristics of the internet of things on customer purchase intention","volume":"42","year":"2014","journal-title":"Social Behavior and Personality: An International Journal"},{"issue":"2","key":"key2021041509363838800_ref008","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.chb.2009.09.003","article-title":"Who interacts on the web? 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