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Factors Explaining ICT Expenditure Behavior of Greek Firms During the Economic Crisis 2009–2014

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E-Democracy – Privacy-Preserving, Secure, Intelligent E-Government Services (e-Democracy 2017)

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Abstract

The financial and economic crisis of 2008 affected negatively investment in general, and investment in ICT was not left unchanged, with negative consequences for firms’ future performance and competitiveness. So this paper aims at investigating factors explaining firms’ crisis behavior with respect to ICT investment and ICT operational expenditures, i.e. their crisis vulnerability of ICT expenditures, for the crisis period 20092014. To this end, we examine the effects of six groups of factors on firms’ ICT investment and expenditure behavior during the crisis 20092014: three groups of internal factors and three groups of external factors. We focus our analysis on the internal ICT-related factors; we need all other factors in order to be able to appropriately specify two econometric models, one for ICT investment expenditures and a second one for ICT operational expenditures, and avoid omitted variable bias. The analysis of the factors that may influence the likelihood of a reduction of ICT investment and operating expenditure as a consequence of the crisis is primarily explorative, thus driven by available data and economic intuition. Our study is based on Greek firm data from the manufacturing, construction and services sector that have been collected in 2015/2016. We find that all six groups of variables contribute significantly to the explanation of both ICT investment and ICT operational expenditures during the crisis period 20092014, even if not to the same extent and not for each of the two dependent variables.

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Notes

  1. 1.

    Some hints about ICT characteristics at firm level that are correlated with ICT-related 2008 crisis vulnerability are found in Arvanitis and Loukis (2015) for a sample of firms from the glass/ceramics/cement industry in six European countries.

  2. 2.

    However, there is a paper which is worth-mentioning: In a case study, Leidner et al. (2003) found based on interviews with 20 CIOs that firms reacted both pro- and anti-cyclically to the crisis of 2000-02 depending on their short-term or long-term time-horizon.

  3. 3.

    There is no information about significant structural changes of the Greek economy as a whole. For single markets, e.g., retail trade and construction, the high number of bankruptcies in the last years indicates a concentration process that rather enhances competition pressure.

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Correspondence to Euripidis Loukis .

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Appendix. Definition of Variables

Appendix. Definition of Variables

Variable

Definition

Dependent variables

 

Impact of crisis 20092014 on ICT investment expenditures

Six-level ordinal variable; 1: ‘increase’; 6: ‘very large decrease’; see also Table 2

Impact of crisis 20092014 on ICT operational expenditures

Six-level ordinal variable; 1: ‘increase’; 6: ‘very large decrease’; see also Table 2

Independent variables

 

ICT-related resource endowment

 

R&D

R&D activities in the period 2012-2014: yes/no; binary variable

HQUAL

Share of employees with tertiary-level education 2014

ICT_PERS

Share of ICT-specialized personnel 2014

ORG

Use of new forms of workplace organization such as teams, job rotation, decentralization of decision making, etc.

ICT_TECHN

Average use intensity of the following ICT applications: ERP, CRM, SCM, Business Intelligence/Business Analytics System, Collaboration Support system; intensity use is measured on a five-point Likert scale (1: ‘no use’; 5: ‘very intensive use’)

CLOUD

Use of cloud computing: yes/no; binary variable

ICT-related capabilities

 

ICT_CAP_NEW

Rapid implementation of changes of the applications of existing information systems to cover specific firm needs

ICT_CAP_DEVELOP

Rapid development of new ICT applications to cover specific firm needs

ICT_CAP_INTERCON

Rapid realization of interconnection and integration of existing ICT applications inside the firm

ICT_CAP_COOP_INT

Good cooperation and information exchange between ICT personnel and ICT users inside the firm

ICT_CAP_COOP_EXT

Good cooperation and information exchange with ICT providers of hardware, software and networks)

ICT_CAP_ICT_PLANS

Existence of ICT plans that are connected with overall firm strategy (ICT business alignment)

Overall internal problems

 

INTERNAL

Average of the scores on a five-point Likert scale of the following three single factors that could be considered as sources/causes of firm problems in the period 20092014: insufficient cost control; over-investment in equipment, buildings and storage capacity; over-expansion by takeovers, mergers, etc.

Competition conditions

 

P_COMPET

Intensity of price competition at the product market; five-level ordinal variable: 1 ‘very small’; 5; ‘very strong’

NP_COMPET

Intensity of non-price competition at the product market; five-level ordinal variable: 1 ‘very small’; 5; ‘very strong’

OBSOLESCENCE

Average of the scores on a five-point Likert scale of the two single factors concerning the extent to which firm’s products and services quickly become obsolete/outdated, and also their technologies change quickly

Broad economic environment

 

MARKET

Average of the scores on a five-point Likert scale for the following four single factors that could be considered as sources/causes of firm problems in the period 20092014: decrease of credit limits by banks; by providers; decrease of paying willingness of customers; increase of competition pressure at the product market (1: ‘not relevant; 5: ‘very relevant’)

Macroeconomic conditions

 

MACRO

Average of the scores on a five-point Likert scale for the following four single factors that could be considered as sources/causes of firm problems in the period 20092014: decrease of domestic private demand, demand of the state; of foreign demand; decrease of product and service prices (1: ‘not relevant; 5: ‘very relevant’)

LAGE

Natural logarithm of firm age (2015 minus foundation year)

Medium-sized

50 to 149 employees; binary variable

Large

250 and more variables

  1. Note: The capability variables ICT_CAP_NEW to ICT_CAP_ICT_PLANS are ordinal variables measured on five-point Likert scale (1: ‘(available) to a very small extent/not at all’; 5: ‘(available) to a very large extent’).

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Arvanitis, S., Loukis, E. (2017). Factors Explaining ICT Expenditure Behavior of Greek Firms During the Economic Crisis 2009–2014. In: Katsikas, S., Zorkadis, V. (eds) E-Democracy – Privacy-Preserving, Secure, Intelligent E-Government Services. e-Democracy 2017. Communications in Computer and Information Science, vol 792. Springer, Cham. https://doi.org/10.1007/978-3-319-71117-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-71117-1_18

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