Author List: Gray, Peter H.; Parise, Salvatore; Iyer, Bala;
MIS Quarterly, 2011, Volume 35, Issue 3, Page 629-643.
Many organizational innovations can be explained by the movement of ideas and information from one social context to another, "from where they are known to where they are not" (Hargadon 2002, p. 41). A relatively new technology, social bookmarking, is increasingly being used in many organizations (McAfee 2006), and may enhance employee innovativeness by providing a new, socially mediated channel for discovering information. Users of such systems create publicly viewable lists of bookmarks (each being a hyperlink to an information resource) and often assign searchable keywords ("tags") to these bookmarks. We explore two different perspectives on how accessing others' bookmarks could enhance how innovative an individual is at work. First, we develop two hypotheses around the idea that quantity may be a proxy for diversity, following a well established literature that holds that the more information obtained and the larger the number of sources consulted, the higher the likelihood an individual will come across novel ideas. Next, we offer two hypotheses adapted from social network research that argue that the shape of the network of connections that is created when individuals access each others' bookmarks can reflect information novelty, and that individuals whose networks bridge more structural holes and have greater effective reach are likely to be more innovative. An analysis of bookmarking system use in a global professional services firm provides strong support for the social diversity of information sources as a predictor of employee innovativeness, but no support that the number of bookmarks accessed matters. By extending the social networks literature to theorize the functionalities offered by social bookmarking systems, this research establishes structural holes theory as a valuable lens through which social technologies may be understood.
Keywords: Social Bookmarking Systems; Social network Analysis; social tagging systems; social technologies
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#234 0.111 social networks influence presence interactions network media networking diffusion implications individuals people results exchange paper sites evidence self-disclosure important examine
#110 0.108 theory theories theoretical paper new understanding work practical explain empirical contribution phenomenon literature second implications different building based insights need
#249 0.107 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality participants sharing economic ownership embeddedness
#142 0.099 creativity ideas idea creative individual generation techniques individuals problem support cognitive ideation stimuli memory generate enhance generated solutions solving quality
#210 0.089 innovation innovations innovative organizing technological vision disruptive crowdsourcing path implemented explain base opportunities study diversity taking actors practice shape creation
#220 0.086 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#159 0.068 systems information objectives organization organizational development variety needs need efforts technical organizations developing suggest given effective designing lack help recent
#225 0.068 information environment provide analysis paper overall better relationships outcomes increasingly useful valuable available increasing greater regarding levels decisions viewed relative
#83 0.063 personal computers use lead order using users pcs innovativeness understanding professional help forces gained usage increase trends parallel introduced expressed
#80 0.059 organizations new information technology develop environment challenges core competencies management environmental technologies development emerging opportunities levels based change business technical
#132 0.055 likelihood multiple test survival promotion reputation increase actions run term likely legitimacy important rates findings long short higher argue prior