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 2009–2014. To this end, we examine the effects of six groups of factors on firms’ ICT investment and expenditure behavior during the crisis 2009–2014: 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 2009–2014, even if not to the same extent and not for each of the two dependent variables.
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Notes
- 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.
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.
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.
References
Arvanitis, S.: Modes of labour flexibility at firm level: are there any implications for performance and innovation? evidence for the swiss economy. Ind. Corp. Change 14(6), 1–24 (2005)
Arvanitis, S., Loukis, E.: Information and communication technologies, human capital, workplace organization and labour productivity in Greece and switzerland: a comparative study based on firm-level data. Inf. Econ. Policy 21(1), 43–61 (2009)
Arvanitis, S., Loukis, E.: Did the reduction of ICT Investment Due to the 2008 Economic Crisis Affect the Innovation Performance of Firms? An Exploratory Analysis Based on Firm Data for the European Glass, Ceramics, and Cement Industry. KOF Working Papers No. 391, Zurich (2015)
Arvanitis, S., Loukis, E., Diamantopoulou, V.: Are ICT, workplace organization and human capital relevant for innovation? a comparative Swiss/Greek study. Int. J. Econ. Bus. 23(3), 319–349 (2016)
Arvanitis, S., Woerter, M.: Firm characteristics and the cyclicality of R&D investments. Ind. Corp. Change 23(5), 1141–1169 (2014)
Barlevy, G.: On the cyclicality of research and development. Am. Econ. Rev. 97(4), 1131–1164 (2007)
Filippetti, A., Archibugi, D.: Innovation in times of crisis: national systems of innovation, structure, and demand. Res. Policy 40, 179–192 (2011)
Gerner, H.D., Stegmaier, J.: Investitionen in der Krise? Eine empirische Analyse zum Einfluss der Finanz- und Wirtschaftskrise 2008/2009 auf Investitionsanpassungen. Schmollers Jahrbuch 133, 67–96 (2013)
Geroski, P.A., Gregg, P.: Coping with Recession – UK Company Performance in Adversity. Cambridge University Press, Cambridge (1997)
Goodacre, A., Tonks, I.: Finance and Technological Change. In: Stoneman, P. (ed.) Handbook of the Economics of Innovation and Technological Change. Harvester, New York (1995)
Gu, J.W., Jung, H.W.: The effects of IS resources, capabilities, and qualities on organizational performance: an integrated approach. Inf. Manag. 50(2–3), 87–97 (2013)
Guellec, D., Ioannidis, E.: Causes of Fluctuations in R&D Expenditures: A Quantitative Analysis. OECD Business Studies No. 29, (1999)
Kahle, K.M., Stulz, R.M.: Access to Capital, Investment, and the Financial Crisis. Fisher College of Business Working Paper No. 2012-2 (2012)
Keeley, B., Love, P.: From Crisis to Recovery – The Causes, Course and Consequences of the Great Recession. OECD, Paris (2010)
Leidner, D.E., Beatry, R.C., Mackay, J.M.: How CIOS manage IT during economic decline: surviving and thriving amid uncertainty. MIS Q. Executive 2(1), 1–14 (2003)
OECD: The Impact of the Crisis on ICTs and Their Role in the Recovery. OECD Publishing, Paris (2009)
OECD: Recent Developments and Outlook. In: OECD Information Technology Outlook 2010, OECD Publishing, Paris (2010)
Ouyang, M.: On the cyclicality of R&D. Rev. Econ. Stat. 93(2), 542–553 (2011)
Rafferty, M., Funk, M.: The effect of demand shocks on firm-financed R&D. Res. Economics 58, 187–203 (2004)
Ravichandran, T., Lertwongsatien, C.: Effect of information system resources and capabilities on firm performance: a resource-based perspective. J. Manag. Inform. Syst. 21(4), 237–276 (2005)
Rojko, K., Lesjak, D., Vehovar, V.: Information Communication Technology Spending in (2008-) Economic Crisis. Ind. Manag. Data Syst. 111(3), 391–409 (2011)
Stiglitz, J.E., Weiss, A.: Credit rationing in markets with imperfect information. Am. Econ. Rev. 71, 393–410 (1981)
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Appendix. Definition of Variables
Appendix. Definition of Variables
Variable | Definition |
---|---|
Dependent variables | |
Impact of crisis 2009–2014 on ICT investment expenditures | Six-level ordinal variable; 1: ‘increase’; 6: ‘very large decrease’; see also Table 2 |
Impact of crisis 2009–2014 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 2009–2014: 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 2009–2014: 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 2009–2014: 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 |
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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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