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The impact of information technology on the banking industry
This paper analyses the effects of investment in information technologies (IT) in the banking sector using bank-level data from a panel of 68 US banks over the period 1986-2005. Although IT can improve bank's performance by reducing operational cost (supply side), it can bring in competition am...
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Published in: | The Journal of the Operational Research Society 2010-02, Vol.61 (2), p.211-221 |
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description | This paper analyses the effects of investment in information technologies (IT) in the banking sector using bank-level data from a panel of 68 US banks over the period 1986-2005. Although IT can improve bank's performance by reducing operational cost (supply side), it can bring in competition among banks in order to embrace new technology (demand side). Since most empirical studies have adopted the production function approach, it is difficult to identify which effect has dominated. In a differentiated model with network effects, this paper characterizes the conditions to identify these two effects. The results suggest that (at individual firm levels) the bank profits can decline due to adoption and diffusion of IT investment, reflecting negative network competition effects in this industry. Using panel cointegration tests, we confirm that the estimated profit equation is indeed a long-run equilibrium relation. |
doi_str_mv | 10.1057/jors.2008.128 |
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Although IT can improve bank's performance by reducing operational cost (supply side), it can bring in competition among banks in order to embrace new technology (demand side). Since most empirical studies have adopted the production function approach, it is difficult to identify which effect has dominated. In a differentiated model with network effects, this paper characterizes the conditions to identify these two effects. The results suggest that (at individual firm levels) the bank profits can decline due to adoption and diffusion of IT investment, reflecting negative network competition effects in this industry. Using panel cointegration tests, we confirm that the estimated profit equation is indeed a long-run equilibrium relation.</description><identifier>ISSN: 0160-5682</identifier><identifier>EISSN: 1476-9360</identifier><identifier>DOI: 10.1057/jors.2008.128</identifier><identifier>CODEN: JORSDZ</identifier><language>eng</language><publisher>London: Taylor & Francis</publisher><subject>Applied sciences ; Bank earnings ; Bank markets ; Banking industry ; Banking services ; Banks ; Business and Management ; Case-Oriented Paper ; Case-Oriented Papers ; Competition ; Computer science; control theory; systems ; Cost efficiency ; Exact sciences and technology ; Financial investments ; Firm modelling ; heterogenous competition ; Impact analysis ; Information systems. Data bases ; Information technology ; Inventory control, production control. Distribution ; Investment banking ; Management ; Market share ; Memory organisation. 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Management science ; Operations research ; Operations Research/Decision Theory ; Profits ; Software ; Studies</subject><ispartof>The Journal of the Operational Research Society, 2010-02, Vol.61 (2), p.211-221</ispartof><rights>Copyright © 2009, Operational Research Society Ltd. 2009</rights><rights>Copyright 2010 Operational Research Society Ltd</rights><rights>Operational Research Society Ltd. 2009</rights><rights>2015 INIST-CNRS</rights><rights>Operational Research Society Ltd. 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-3a2cae7367408144ee07f98f73f809990c5189a089b9bd2c1b6755a3e1b4695e3</citedby><cites>FETCH-LOGICAL-c461t-3a2cae7367408144ee07f98f73f809990c5189a089b9bd2c1b6755a3e1b4695e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/231253211/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/231253211?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,11675,27911,27912,36047,44350,58225,58458,74650</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22366892$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ho, S J</creatorcontrib><creatorcontrib>Mallick, S K</creatorcontrib><title>The impact of information technology on the banking industry</title><title>The Journal of the Operational Research Society</title><addtitle>J Oper Res Soc</addtitle><description>This paper analyses the effects of investment in information technologies (IT) in the banking sector using bank-level data from a panel of 68 US banks over the period 1986-2005. Although IT can improve bank's performance by reducing operational cost (supply side), it can bring in competition among banks in order to embrace new technology (demand side). Since most empirical studies have adopted the production function approach, it is difficult to identify which effect has dominated. In a differentiated model with network effects, this paper characterizes the conditions to identify these two effects. The results suggest that (at individual firm levels) the bank profits can decline due to adoption and diffusion of IT investment, reflecting negative network competition effects in this industry. 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Distribution</subject><subject>Investment banking</subject><subject>Management</subject><subject>Market share</subject><subject>Memory organisation. Data processing</subject><subject>Network effects</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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Data bases</topic><topic>Information technology</topic><topic>Inventory control, production control. Distribution</topic><topic>Investment banking</topic><topic>Management</topic><topic>Market share</topic><topic>Memory organisation. Data processing</topic><topic>Network effects</topic><topic>Operational research and scientific management</topic><topic>Operational research. 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Although IT can improve bank's performance by reducing operational cost (supply side), it can bring in competition among banks in order to embrace new technology (demand side). Since most empirical studies have adopted the production function approach, it is difficult to identify which effect has dominated. In a differentiated model with network effects, this paper characterizes the conditions to identify these two effects. The results suggest that (at individual firm levels) the bank profits can decline due to adoption and diffusion of IT investment, reflecting negative network competition effects in this industry. Using panel cointegration tests, we confirm that the estimated profit equation is indeed a long-run equilibrium relation.</abstract><cop>London</cop><pub>Taylor & Francis</pub><doi>10.1057/jors.2008.128</doi><tpages>11</tpages></addata></record> |
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subjects | Applied sciences Bank earnings Bank markets Banking industry Banking services Banks Business and Management Case-Oriented Paper Case-Oriented Papers Competition Computer science control theory systems Cost efficiency Exact sciences and technology Financial investments Firm modelling heterogenous competition Impact analysis Information systems. Data bases Information technology Inventory control, production control. Distribution Investment banking Management Market share Memory organisation. Data processing Network effects Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Profits Software Studies |
title | The impact of information technology on the banking industry |
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