DC Field | Value | Language |
---|---|---|
dc.contributor.author | Komisopoulos, Faidon | - |
dc.contributor.author | Kourkoulos, Spyridon | - |
dc.date.accessioned | 2024-04-01T09:34:43Z | - |
dc.date.available | 2024-04-01T09:34:43Z | - |
dc.date.issued | 2015 | - |
dc.identifier | google_scholar-Zh1SrlwAAAAJ:d1gkVwhDpl0C | - |
dc.identifier.isbn | 978-960-98739-6-3 | - |
dc.identifier.other | Zh1SrlwAAAAJ:d1gkVwhDpl0C | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/1698 | - |
dc.description.abstract | Nowadays, finding effective ways to reach consumers has become the biggest challenge that marketers face. Location has become the new currency of marketing due to increased mobility of consumers in developed countries. Companies are interested in acquiring mobile, location and social information as its quantity is increasing exponentially and tracks consumers’ buying patterns which is very important for decision making from the marketing perspective. Therefore, it becomes a necessity for firms that do not have the ability to gather data, invest on information technologies based on data-driven decision making to gather and analyze incoming information to be more competitive and gain market value. The scope of this paper is to present major ways of tracking customers, mainly in big retail places, like malls, collecting data on their moves and behaviors and using those analytics for better sales performance. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Proceedings of the 4th International Conference in Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (I.C.Q.Q.M.E.A.S. 2015) | en_US |
dc.source | ICQQMEAS2015, 2015 | - |
dc.subject | Location based marketing | en_US |
dc.subject | Data driven decision making | en_US |
dc.subject | Business analytics | en_US |
dc.subject | Big data | en_US |
dc.subject | Retail | en_US |
dc.subject | In store marketing | en_US |
dc.subject | Anonymous WiFi tracking | en_US |
dc.title | Using location based marketing technologies for better business analytics | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 4th International Conference in Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (I.C.Q.Q.M.E.A.S. 2015), 21-22 May 2015, Athens | en_US |
dc.relation.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 201 | en_US |
dc.identifier.epage | 206 | en_US |
dc.link | http://econferences.teiath.gr/public/proceedings/proceedings_1.pdf | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Paper | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Business Administration | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0002-5948-4922 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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