Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio
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2012
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1337784621 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13377846212021-08-03T06:05:02Z Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio Rainey, John William Geographic Information Science Geography space place GIS business intelligence volunteered geographic information social media Starbucks Coffee Company The role of space in the planning and development of retail networks has been evident throughout much of the 20th century during which a range of analytic models were developed to meet a variety of management objectives. The advancement of geographic information science (GIS) has greatly facilitated the frequency with which such models have been implemented by retail firms. Yet, critical economic geographers have taken notice of the engagement of GIS in a manner that is essentially spatially deterministic, awarding privilege to positivist approaches that had established dominance within the discipline of geography since the quantitative revolution of the 1960s, and scholars have contended that place, conceived as a relational approach to space, has a much greater role in the organization of the modern economy. Currently, however, a fundamental paradigm shift is occurring within GIS as a result of the proliferation of volunteered geographic information produced through location-based social media, enabled by Web 2.0 technologies, providing opportunities for the integration of georeferenced data within a GIS that enlightens the relevance of place in the economy without sacrificing attention to space. The poor performance and subsequent closure of over 700 Starbucks outlets in the U.S. since 2008 present a unique opportunity to study the implications of both space and place in the present economy. This research shows how a variety of methods may be used to understand the implications that each perspective suggests, concluding that the new wave of “big data” driven by location-based social media has the potential to mediate the polarization of space and place in the discipline of geography while presenting the opportunity to study spatial phenomena through GIS in a manner that is not spatially deterministic. 2012-06-22 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1337784621 http://rave.ohiolink.edu/etdc/view?acc_num=osu1337784621 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Geographic Information Science Geography space place GIS business intelligence volunteered geographic information social media Starbucks Coffee Company |
| spellingShingle |
Geographic Information Science Geography space place GIS business intelligence volunteered geographic information social media Starbucks Coffee Company Rainey, John William Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| author |
Rainey, John William |
| author_facet |
Rainey, John William |
| author_sort |
Rainey, John William |
| title |
Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| title_short |
Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| title_full |
Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| title_fullStr |
Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| title_full_unstemmed |
Space and Place in Business Intelligence: A Case Study of Starbucks Coffee Company in Central Ohio |
| title_sort |
space and place in business intelligence: a case study of starbucks coffee company in central ohio |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2012 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1337784621 |
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