2009
DOI: 10.1016/j.adiac.2009.08.008
|View full text |Cite
|
Sign up to set email alerts
|

Determinants of information technology investments: The case of ATM in an emerging economy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
1

Year Published

2014
2014
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 21 publications
0
5
1
Order By: Relevance
“…The variations in ATM deployment do not basically different across banks based on their cost efficiency and number of branches. This result is inconsistent with the finding investigated by ( Ou, 2009 ), found both cost efficiency and number of branches have significant impact on ATM deployment.…”
Section: Resultscontrasting
confidence: 99%
See 1 more Smart Citation
“…The variations in ATM deployment do not basically different across banks based on their cost efficiency and number of branches. This result is inconsistent with the finding investigated by ( Ou, 2009 ), found both cost efficiency and number of branches have significant impact on ATM deployment.…”
Section: Resultscontrasting
confidence: 99%
“…Thus, the relationship between operating expense and ATMs investment are positive. Cost efficiency is the ratio of operating expense to total deposit ( Ou, 2009 ) for this study. Finally, when the bank expands the number of branches for deposit mobilization, it may also expand the technology like ATM to convince and attract customers in line with the branch (Ibid).…”
Section: Methodsmentioning
confidence: 99%
“…Different proxies of IT have been used in literature to examine the impact of IT on profitability of banks in the form of index and in components, as in this research the impact is to be measured in components, Therefore, number of ATMs and investment in bank software have been employed as proxies of IT. Number of ATMs as a proxy of IT has been used in various studies (Karimzadeh et al, 2014;Jesudasan et al, 2013;Ou, Yen & Hung, 2009;Holden & El-Bannany, 2004;Alpar & Kim, 1990), investment in bank software has also been employed as a proxy of IT in literature by different researchers (Safari & Yu, 2014;Jesudasan et al, 2013;Jalal-Karim & Hamdan, 2010;Beccalli 2007). IT components are part of a multitude of factors that affect banks returns to control for other factors and for a more comprehensive and theoretically robust model to examine the relationship amongst IT and bank profitability bank size represented by total assets has been added as a control variable.…”
Section: Empirical Modelsmentioning
confidence: 99%
“…IT components are part of a multitude of factors that affect banks returns to control for other factors and for a more comprehensive and theoretically robust model to examine the relationship amongst IT and bank profitability bank size represented by total assets has been added as a control variable. Bank size has been used as a control variable in existing literature by several authors (Karimzadeh et al, 2014;Safari & Yu, 2014;Ou, Yen & Hung, 2009). Therefore, the following two models are estimated empirically to measure the impact of IT on commercial banks profitability; ROA i,t = β0 + β1ROAi,t-1+ β2LNBS i,t + β3LATM i,t + β4LNTA i ,t + μi,t…..……model 1 ROE i,t = β0 + β1ROEi,t-1 + β2LNBS i,t + β3LATM i,t + β4LNTA i,t + μ i,t….... ------------------------------------------------------------------------------------------------------------------------------ To correct for potential endogeneity bias, relevant lagged dependent variables have been added in both the models, whereas independent variables natural logarithm has been taken to correct for heteroscedasticity.…”
Section: Empirical Modelsmentioning
confidence: 99%
“…Ou et al [41] propose a framework for the investment of ATMs. Th ey investigate investment from three diff erent perspectives: scale, deposit service, and cost.…”
Section: Hybrid Methodsmentioning
confidence: 99%