Information Systems in Transition Economies: Does Ownership Matter?

References

• Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. doi:10.2307/3250961
   Web of Science ®Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi:10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. doi:10.2307/3150783
   Web of Science ®Google Scholar
• Arthur, L. (2012). Five years from now, CMOs will spend more on IT than CIOs do. Forbes. Retrieved from http://www.forbes.com/sites/lisaarthur/2012/02/08/five-years-from-now-cmos-will-spend-more-on-it-than-cios-do/
   Google Scholar
• Autry, C. W., Grawe, S. J., Daugherty, P. J., & Richey, R. G. (2010). The effects of technological turbulence and breadth on supply chain technology acceptance and adoption. Journal of Operations Management, 28(6), 522–536. doi:10.1016/j.jom.2010.03.001
   Web of Science ®Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. doi:10.1007/BF02723327
   Google Scholar
• Bartlett, D., & Seleny, A. (1998). The political enforcement of liberalism: Bargaining, institutions, and auto multinationals in Hungary. International Studies Quarterly, 42(2), 319–338. doi:10.1111/1468-2478.00084
   Web of Science ®Google Scholar
• Bernroider, E. W. N., Sudzina, F., & Pucihar, A. (2011). Contrasting ERP absorption between transition and developed economies from Central and Eastern Europe (CEE). Information Systems Management, 28(3), 240–257. doi:10.1080/10580530.2011.585581
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. doi:10.2307/3250921
   Web of Science ®Google Scholar
• Brynjolfsson, E., Hu, Y. J., & Rahman, M. S. (2013). Competing in the age of omnichannel retailing. MIT Sloan Management Review, 54(4), 23–29.
   Web of Science ®Google Scholar
• Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications and programming (2nd ed.). New York, NY: Routledge.
   Google Scholar
• Calantone, R., Garcia, R., & Dröge, C. (2003). The effects of environmental turbulence on new product development strategy planning. Journal of Product Innovation Management, 20(2), 90–103. doi:10.1111/1540-5885.2002003
   Web of Science ®Google Scholar
• Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for e-commerce: Institutional enablers of the organizational assimilation of web technologies. MIS Quarterly, 26, 65–89. doi:10.2307/4132321
   Web of Science ®Google Scholar
• Chiasson, M. W., & Davidson, E. (2005). Taking industry seriously in information systems research. MIS Quarterly, 29(4), 591–606.
   Web of Science ®Google Scholar
• Choi, S. B., Lee, S. H., & Williams, C. (2011). Ownership and firm innovation in a transition economy: Evidence from China. Research Policy, 40(3), 441–452. doi:10.1016/j.respol.2011.01.004
   Web of Science ®Google Scholar
• Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36(2), 123–139. doi:10.1287/mnsc.36.2.123
   Web of Science ®Google Scholar
• Cross, R. L., & Parker, A. (2004). The hidden power of social networks: Understanding how work really gets done in organizations. Boston, MA: Harvard Business School Press.
   Google Scholar
• Davenport, T. H. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121–131.
   PubMed Web of Science ®Google Scholar
• Davenport, T. H., Harris, J. G., & Kohli, A. K. (2001). How do they know their customers so well? Sloan Management Review, 42(2), 63–74.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. doi:10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• Deshpandé, R. (1982). The organizational context of market research use. Journal of Marketing, 46(4), 91–101. doi:10.2307/1251365
   Web of Science ®Google Scholar
• Deshpandé, R., & Zaltman, G. (1982). Factors affecting the use of market research information: A path analysis. Journal of Marketing Research, 19(1), 14–31. doi:10.2307/3151527
   Web of Science ®Google Scholar
• Díez, E., & McIntosh, B. S. (2009). A review of the factors which influence the use and usefulness of information systems. Environmental Modelling & Software, 24(5), 588–602. doi:10.1016/j.envsoft.2008.10.009
   Web of Science ®Google Scholar
• Dobija, D., Klimczak, K. M., Roztocki, N., & Weistroffer, H. R. (2012). Information technology investment announcements and market value in transition economies: Evidence from Warsaw stock exchange. The Journal of Strategic Information Systems, 21(4), 308–319. doi:10.1016/j.jsis.2012.07.003
   Web of Science ®Google Scholar
• Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D. … Srivastava, S. C. (2015). Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), 143–157. doi:10.1007/s10796-014-9500-y
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:10.2307/3151312
   Web of Science ®Google Scholar
• Glazer, R. (2001). Marketing and the changing information environment: Implications for strategy, structure and marketing mix. In R. Deshpandé (Ed.), Using market knowledge (pp. 127–162). London, UK: Sage Publications.
   Google Scholar
• Harindranath, G. (2008). ICT in a transition economy: The case of Hungary. Journal of Global Information Technology Management, 11(4), 33–55. doi:10.1080/1097198X.2008.10856478
   Google Scholar
• Hoskisson, R. E., Eden, L., Lau, C. M., & Wright, M. (2000). Strategy in emerging economies. Academy of Management Journal, 43(3), 249–267. doi:10.2307/1556394
   Web of Science ®Google Scholar
• Huang, Z., & Palvia, P. (2001). ERP implementation issues in advanced and developing countries. Business Process Management Journal, 7(3), 276–284. doi:10.1108/14637150110392773
   Google Scholar
• Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: Antecedents and consequences. Journal of Marketing, 57(3), 53–70. doi:10.2307/1251854
   Web of Science ®Google Scholar
• John, G., & Martin, J. (1984). Effects of organizational structure of marketing planning on credibility and utilization of plan output. Journal of Marketing Research, 21(2), 170–183. doi:10.2307/3151699
   Web of Science ®Google Scholar
• Kearns, G. S., & Sabherwal, R. (2007). Strategic alignment between business and information technology: A knowledge-based view of behaviors, outcome, and consequences. Journal of Management Information Systems, 23(3), 129–162. doi:10.2753/MIS0742-1222230306
   Web of Science ®Google Scholar
• Kokles, M., Romanová, A., & Hamranová, A. (2015). Information systems in the post-transition period in enterprises in Slovakia. Journal of Global Information Technology Management, 18(2), 110–126. doi:10.1080/1097198X.2015.1052686
   Web of Science ®Google Scholar
• Kornai, J. (1986). The soft budget constraint. Kyklos, 39(1), 3–30. doi:10.1111/j.1467-6435.1986.tb01252.x
   Web of Science ®Google Scholar
• Kornai, J. (1990). The affinity between ownership forms and coordination mechanisms: The common experience of reform in socialist countries. Journal of Economic Perspectives, 4(3), 131–147. doi:10.1257/jep.4.3.131
   Web of Science ®Google Scholar
• Kornai, J. (2000). Making the transition to private ownership. Finance and Development, 37(3), 12–13.
   Google Scholar
• Kroon, J. (1995). General management (2nd ed.). New York, NY: Routledge.
   Google Scholar
• Lee, H., Acito, F., & Day, R. L. (1987). Evaluation and use of marketing research by decision makers: A behavioral simulation. Journal of Marketing Research, 24(2), 187–196. doi:10.2307/3151508
   Web of Science ®Google Scholar
• Levina, N., & Vaaste, E. (2004). The emergence of boundary spanning competence in practice: Implications for information systems’ implementation use Information Systems Working Papers Series, Working Paper No. 2451/14121. New York, NY: New York University.
   Google Scholar
• Li, J., & Tang, Y. (2010). CEO hubris and firm risk taking in China: The moderating role of managerial discretion. Academy of Management Journal, 53(1), 45–68. doi:10.5465/AMJ.2010.48036912
   Web of Science ®Google Scholar
• Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. doi:10.1037/0021-9010.86.1.114
   PubMed Web of Science ®Google Scholar
• Little, J. D. C. (1979). Decision support systems for marketing managers. Journal of Marketing, 43(3), 9–26. doi:10.2307/1250143
   Web of Science ®Google Scholar
• Ma, X., Yao, X., & Xi, Y. (2006). Business group affiliation and firm performance in a transition economy: A focus on ownership voids. Asia Pacific Journal of Management, 23(4), 467–483. doi:10.1007/s10490-006-9011-6
   Google Scholar
• Maltz, E., & Kohli, A. K. (1996). Market intelligence dissemination across functional boundaries. Journal of Marketing Research, 33(1), 47–61. doi:10.2307/3152012
   Web of Science ®Google Scholar
• Maltz, E., Souder, W. E., & Kumar, A. (2001). Influencing R&D/marketing integration and the use of market information by R&D managers: Intended and unintended effects of managerial actions. Journal of Business Research, 52(1), 69–82. doi:10.1016/S0148-2963(99)00096-X
   Web of Science ®Google Scholar
• McGee, G. W., & Ford, R. C. (1987). Two (or more?) dimensions of organizational commitment: Reexamination of the affective and continuance commitment scales. Journal of Applied Psychology, 72(4), 638–641. doi:10.1037/0021-9010.72.4.638
   Web of Science ®Google Scholar
• Meyer, K. E., & Peng, M. W. (2015). Theoretical foundations of emerging economy business research. Journal of International Business Studies, 47(1), 3–22. doi:10.1057/jibs.2015.34
   Web of Science ®Google Scholar
• Nunnally, J. C. (1967). Psychometric theory. New York, NY: McGraw-Hill.
   Google Scholar
• Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. doi:10.2753/MIS0742-1222290401
   Web of Science ®Google Scholar
• Piotrowicz, W. (2015). Information technology and systems in the Visegrád group of countries (Czech Republic, Hungary, Poland, and Slovakia): A literature review. Journal of Global Information Technology Management, 18(2), 77–93. doi:10.1080/1097198X.2015.1052684
   Web of Science ®Google Scholar
• Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The customer relationship management process: Its measurement and impact on performance. Journal of Marketing Research, 41(3), 293–305. doi:10.1509/jmkr.41.3.293.35991
   Web of Science ®Google Scholar
• Riketta, M. (2002). Attitudinal organizational commitment and job performance: A meta‐analysis. Journal of Organizational Behavior, 23(3), 257–266. doi:10.1002/job.141
   Web of Science ®Google Scholar
• Rollins, M., Bellenger, D. N., & Johnston, W. J. (2012). Customer information utilization in business-to-business markets: Muddling through process? Journal of Business Research, 65(6), 758–764. doi:10.1016/j.jbusres.2010.12.013
   Web of Science ®Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2008). Information technology in transition economies. Journal of Global Information Technology Management, 11(4), 1–8. doi:10.1080/1097198X.2008.10856476
   Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2009). Research trends in information and communications technology in developing, emerging and transition economies. Collegium of Economic Analysis, 20, 113–127.
   Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2015). Information and communication technology in transition economies: An assessment of research trends. Information Technology for Development, 21(3), 330–364. doi:10.1080/02681102.2014.891498
   Web of Science ®Google Scholar
• Salmela, H., Lederer, A. L., & Reponen, T. (2000). Information systems planning in a turbulent environment. European Journal of Information Systems, 9(1), 3–15. doi:10.1057/palgrave.ejis.3000339
   Web of Science ®Google Scholar
• Samoilenko, S. (2008). Contributing factors to information technology investment utilization in transition economies: An empirical investigation. Information Technology for Development, 14(1), 52–75. doi:10.1002/itdj.20087
   Google Scholar
• Samoilenko, S., & Osei-Bryson, K. (2015). Before and after joining the European Union: The impact of investments in telecoms on the Visegrád group of countries and Baltic states. Journal of Global Information Technology Management, 18(2), 94–109. doi:10.1080/1097198X.2015.1052685
   Web of Science ®Google Scholar
• Scott, W. R. (1981). Organizations: Rational, natural, and open systems. Englewood Cliffs, NJ: Prentice Hall Inc.
   Google Scholar
• Seleny, A. (2007). Communism’s many legacies in East-Central Europe. Journal of Democracy, 18(3), 156–170. doi:10.1353/jod.2007.0056
   Web of Science ®Google Scholar
• Singh, J., & Rhoads, G. K. (1991). Boundary role ambiguity in marketing-oriented positions: A multidimensional, multifaceted operationalization. Journal of Marketing Research, 28, 328–338. doi:10.2307/3172868
   Web of Science ®Google Scholar
• Soja, P. (2011). Examining determinants of enterprise system adoptions in transition economies: Insights from Polish adopters. Information Systems Management, 28(3), 192–210. doi:10.1080/10580530.2011.585584
   Web of Science ®Google Scholar
• Soja, P. (2015). A stakeholder analysis of barriers to enterprise system adoption: The case of a transition economy. Information Technology & Management, 16(3), 253–271. doi:10.1007/s10799-015-0245-1
   Web of Science ®Google Scholar
• Soja, P., & Paliwoda-Pękosz, G. (2013). Comparing benefits from enterprise system adoption in transition and developed economies: An ontology-based approach. Information Systems Management, 30(3), 198–217. doi:10.1080/10580530.2013.794606
   Web of Science ®Google Scholar
• Song, M., Droge, C., Hanvanich, S., & Calantone, R. (2005). Marketing and technology resource complementarity: An analysis of their interaction effect in two environmental contexts. Strategic Management Journal, 26(3), 259–276. doi:10.1002/smj.450
   Web of Science ®Google Scholar
• Soubbotina, T. P., & Sheram, K. (2007). Beyond economic growth: Meeting the challenges of global development. Retrieved from http://www.worldbank.org/depweb/beyond/beyond.htm
   Google Scholar
• Themistocleous, M., Soja, P., & da Cunha, P. R. (2011). The same, but different: Enterprise systems adoption lifecycles in transition economies. Information Systems Management, 28(3), 223–239. doi:10.1080/10580530.2011.585585
   Web of Science ®Google Scholar
• United Nations Conference on Trade and Development (UNCTAD). (2016). United nation conference on trade and development: Country fact sheets 2016, Hungary. Retrieved from http://unctad.org/sections/dite_dir/docs/wir2016/wir16_fs_hu_en.pdf
   Google Scholar
• Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. doi:10.1287/isre.11.4.342.11872
   Web of Science ®Google Scholar
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. doi:10.1111/j.1540-5915.2008.00192.x
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi:10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
   Web of Science ®Google Scholar
• Weerakkody, V., El-Haddadeh, R., Sabol, T., Ghoneim, A., & Dzupka, P. (2012). E-government implementation strategies in developed and transition economies: A comparative study. International Journal of Information Management, 32(1), 66–74. doi:10.1016/j.ijinfomgt.2011.10.005
   Web of Science ®Google Scholar
• Wierenga, B., & Ophuis, O. P. A. M. (1997). Marketing decision support systems: Adoption, use, and satisfaction. International Journal of Research in Marketing, 14(3), 275–290. doi:10.1016/S0167-8116(97)00009-8
   Web of Science ®Google Scholar
• World Bank. (2015). World Bank GDP per capita – international dollars. Retrieved from http://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
   Google Scholar
• Yang, Q., Mudambi, R., & Meyer, K. E. (2008). Conventional and reverse knowledge flows in multinational corporations. Journal of Management, 34(5), 882–902. doi:10.1177/0149206308321546
   Web of Science ®Google Scholar
• Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations. New York, NY: John Wiley & Sons, Inc.
   Google Scholar