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Rethinking organisational size in IS research: meaning, measurement and redevelopment

  • Original Article
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European Journal of Information Systems

Abstract

While organisational size is a popular construct in information systems (IS) research, findings from its use have been inconsistent. Few studies have explored this inconsistency or attempted to address this problem. This paper uses Churchill's measure development paradigm to conduct three separate but related investigations into the size construct. Study 1 explored the domain and dimensions of size. Some 2000 research papers published in six leading IS journals over an 11-year period were read in order to determine what researchers thought size meant and how they measured it. The study found 21 constructs underpinning the size construct and 25 ways of measuring size, but no clear relationship between size meaning and measurement. Study 2 assessed the construct's content validity using a concept map exercise involving 41 participants. Multidimensional scaling clustered the constructs into three conceptual groups. Study 3 administered the size construct in a survey with a sample of 163 Australian firms. The study found that the data supported the constructs observed in Study 2 and that a group of eight constructs could be used to differentiate between smaller and larger firms in the sample. Analysis revealed that organisational levels, risk aversion, geographic distribution and employment reflected respondents’ self-nominated size.

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References

  • Albert TC, Goes PB and Gupta A (2004) GIST: a model for design and management of content and interactivity of customer-centric web sites. MIS Quarterly 28 (2), 161.

    Google Scholar 

  • Anastasi A (1982) Psychological Testing. 5th edn, Macmillan Publishers, New York.

    Google Scholar 

  • Arrow K (1962) Economic welfare and the allocation of resources for invention. In The Rate of Inventive Activity (NELSON R, Ed), Princeton University Press, Princeton, New Jersey.

    Google Scholar 

  • Azzam AM (1997) Measuring market power and cost-efficiency effects of industrial concentration. Journal of Industrial Economics 45 (4), 377–386.

    Article  Google Scholar 

  • Backeljau T and De Bruyn L et al. (1996) Multiple UPGMA and neighbour joining trees and the performance of some computer packages. Molecular Biology and Evolution 13, 309–313.

    Article  Google Scholar 

  • Bagozzi RP and Fornell C (1982) Theoretical concepts, measurements, and meaning. In A Second Generation of Multivariate Analysis (FORNELL C, Ed), pp 5–23, Praeger Publishers, New York.

    Google Scholar 

  • Bagozzi RP and Yi Y et al. (1991) Assessing construct validity in organizational research. Administrative Science Quarterly 36 (3), 421–458.

    Article  Google Scholar 

  • Bajwa DS and Lewis L (2003) Does size matter? An investigation of collaborative information technology adoption by U.S. firms. Journal of Information Technology Theory and Application 5 (1), 29–46.

    Google Scholar 

  • Banz RD (1981) The relationship between return and market value of common stocks. Journal of Financial Economics 9 (1), 3–18.

    Article  Google Scholar 

  • Barber AE and Wesson MJ et al. (1999) A tale of two job markets: organisational size and its effects on hiring practices and job search behaviour. Personnel Psychology 52 (4), 841–867.

    Article  Google Scholar 

  • Barki H and Rivard S et al. (1988) An information systems keyword classification scheme. MIS Quarterly 12 (2), 299–322.

    Article  Google Scholar 

  • Barnett WP and Amburgey TL (1990) Do larger organizations generate stronger competition? In Organizational Evolution: New Directions (SINGH JV, Ed), pp 246–248, Sage, California.

    Google Scholar 

  • Baroudi JJ and Orlikowski WJ (1989) The problem of statistical power in MIS research. MIS Quarterly 13 (1), 87–106.

    Article  Google Scholar 

  • Baskerville R and Pries-Heje J (1999) Grounded action research: a method for understanding IT in practice. Accounting, Management and Information Technologies 9 (1), 1–23.

    Article  Google Scholar 

  • Berenson ML and Levine DM (1999) Basic Business Statistics: Concepts and Applications. 7th edn, Prentice-Hall, Upper Saddle River, New Jersey.

    Google Scholar 

  • Berrill A and Goode S et al. (2004) Managerial expectations of internet commerce adoption after the ‘Tech Wreck’ of 2000-An Australian perspective. Journal of Global Information Technology Management 7 (3), 45–61.

    Article  Google Scholar 

  • Bhatnagar R and Sohal AS (2005) Supply chain competitiveness: measuring the impact of location factors, uncertainty and manufacturing practices. Technovation 25 (5), 443–456.

    Article  Google Scholar 

  • Blau PM (1970) A formal theory of differentiation in organizations. American Sociological Review 35 (2), 201–218.

    Article  Google Scholar 

  • Bos JWB and Kolari JW (2005) Large bank efficiency in Europe and the United States: are there economic motivations for geographic expansion in financial services? Journal of Business 78 (4), 1555–1592.

    Article  Google Scholar 

  • Bowen FE (2002) Does size matter? Business and Society 41 (1), 118–124.

    Article  Google Scholar 

  • Brouthers KD and Brouthers L et al. (2000) Influences on strategic decision-making in the Dutch financial services industry. Journal of Management 26 (5), 863–884.

    Article  Google Scholar 

  • Bruce V (1983) Recognizing faces. Philosophical Transactions of the Royal Society of London 302 (1110), 423–434.

    Article  Google Scholar 

  • Brunekreeft G (2001) A multiple-unit, multiple-period auction in the British electricity spot market. Energy Economics 23 (1), 99–118.

    Article  Google Scholar 

  • Burns MR (1983) Economies of scale in tobacco manufacture, 1897–1910. The Journal of Economic History 43 (2), 461–474.

    Article  Google Scholar 

  • Casper S and Matraves C (2003) Institutional frameworks and innovation in the German and UK Pharmaceutical industry. Research Policy 32 (10), 1865–1879.

    Article  Google Scholar 

  • Cattell R (1966) The scree test for the number of factors. Multivariate Behavioral Research 1, 245–276.

    Article  Google Scholar 

  • Chambers RG (1983) Scale and productivity measurement under risk. The American Economic Review 73 (4), 802–805.

    Google Scholar 

  • Chan Y (2000) IT value: the great divide between qualitative and quantitative and individual and organizational measures. Journal of Management Information Systems 16 (4), 225–261.

    Article  Google Scholar 

  • Chen M and Hambrick DC (1995) Speed, stealth, and selective attack: how small firms differ. Academy of Management Journal 38 (2), 453–483.

    Article  Google Scholar 

  • Child J (1973) Predicting and understanding organization structure. Administrative Science Quarterly 18 (2), 168–185.

    Article  Google Scholar 

  • Ching C and Holsapple CW et al. (1996) Toward IT support for coordination in network organisations. Information & Management 30 (4), 179–199.

    Article  Google Scholar 

  • Choe J (1996) The relationships among performance of accounting information systems, influence factors and evolution level of information systems. Journal of Management Information Systems 12 (4), 215–230.

    Article  Google Scholar 

  • Choe J (2004) The consideration of cultural differences in the design of information systems. Information & Management 41 (5), 669–684.

    Article  Google Scholar 

  • Church A (1993) Incentives in mail surveys: a meta-analysis. Public Opinion Quarterly 57, 62–79.

    Article  Google Scholar 

  • Churchill GA (1979) A paradigm for developing better measures of marketing construct. Journal of Marketing Research 16, 64–72.

    Article  Google Scholar 

  • Chwelos P and Benbasat I et al. (2001) Research report: empirical test of an EDI adoption model. Information Systems Research 12, 304–321.

    Article  Google Scholar 

  • Comrey AL (1973) A First Course in Factor Analysis. Academic Press, New York.

    Google Scholar 

  • Cook TD and Campbell DT (1979) Quasi-Experimentation: Design and Analysis Issues for Field Settings. Rand McNally Publishers, Chicago.

    Google Scholar 

  • Cooper TE (1989) Indirect competition with spatial product differentiation. Journal of Industrial Economics 37 (3), 241–257.

    Article  Google Scholar 

  • Corts KS (1999) Conduct parameters and the measurement of market power. Journal of Econometrics 88 (2), 227–250.

    Article  Google Scholar 

  • Cote JA and Buckley MR (1987) Estimating trait, method, and error variance: generalizing across 70 construct validation studies. Journal of Marketing Research 24 (3), 315–318.

    Article  Google Scholar 

  • Dalton DR and Todor WD et al. (1980) Organization structure and performance: a critical review. Academy of Management Review 5 (1), 49–64.

    Google Scholar 

  • Davison ML (1983) Multidimensional Scaling. John Wiley and Sons, New York.

    Google Scholar 

  • Delone WH (1988) Determinants of success for computer usage in small business. MIS Quarterly 12 (1), 51–61.

    Article  Google Scholar 

  • Delone WH and McLean ER (1992) Information systems success: the quest for the dependant variable. Information Systems Research 3 (1), 60–95.

    Article  Google Scholar 

  • Dillman DA (1978) Mail and Telephone Surveys: The Total Design Method. John Wiley and Sons, New York.

    Google Scholar 

  • Diwan RK (1966) Alternative specifications of economies of scale. Economica 33 (132), 442–453.

    Article  Google Scholar 

  • Doherty NF and King M (2001) An investigation of the factors affecting the successful treatment of organisational issues in systems development projects. European Journal of Information Systems 10 (3), 147–160.

    Article  Google Scholar 

  • Doherty NF and Marples CG et al. (1999) The relative success of alternative approaches to strategic information systems planning: an empirical analysis. The Journal of Strategic Information Systems 8 (3), 263–283.

    Article  Google Scholar 

  • Dong D and Saha A (1998) He came, he saw, (and) he waited: an empirical analysis of inertia in technology adoption. Applied Economics 30 (7), 893–906.

    Article  Google Scholar 

  • Duncan NB (1995) Capturing flexibility of information technology infrastructure: a study of resource characteristics and their measure. Journal of Management Information Systems 12 (2), 37–57.

    Article  Google Scholar 

  • Dunn-Rankin P (1983) Scaling Methods. Lawrence Erlbaum Associates Publishers, London.

    Google Scholar 

  • Eisele CF (1974) Organization size, technology, and frequency of strikes. Industrial and Labor Relations Review 27 (4), 560–571.

    Article  Google Scholar 

  • Everitt BS and Dunn G (1991) Applied Multivariate Data Analysis. Edward Arnold, London.

    Google Scholar 

  • Fayad ME and Laitinen M (1997) Process assessment considered wasteful. Communications of the ACM 40 (11), 125–128.

    Article  Google Scholar 

  • Ferratt TW and Agarwal R et al. (2005) IT human resource management configurations and IT turnover: theoretical synthesis and empirical analysis. Information Systems Research 16 (3), 237–255.

    Article  Google Scholar 

  • Fiegenbaum A and Karnani A (1991) Output flexibility-A competitive advantage for small firms. Strategic Management Journal 12, 101–114.

    Article  Google Scholar 

  • Ford JD and Slocum JW (1977) Size, technology, environment and the structure of organizations. The Academy of Management Review 2 (4), 561–575.

    Google Scholar 

  • Fraley C and Raftery AE (1998) How many clusters? Which clustering method? Answers via model-based cluster analysis. Computer Journal 4, 578–588.

    Article  Google Scholar 

  • Gale B (1972) Market share and rate of return. Review of Economics and Statistics 54, 412–423.

    Article  Google Scholar 

  • Gerhart B and Milkovich G (1990) Organizational differences in managerial compensation and financial performance. Academy of Management Journal 33 (4), 663–691.

    Article  Google Scholar 

  • Gropper DM (1991) An empirical investigation of changes in scale economies for the commercial banking firm, 1979–1986. Journal of Money, Credit and Banking 23 (4), 718–727.

    Article  Google Scholar 

  • Grover V and Saeed KA (2004) Strategic orientation and performance of internet-based businesses. Information Systems Journal 14 (1), 23–42.

    Article  Google Scholar 

  • Grover V and Teng JTC (1992) An examination of DBMS adoption and success in American organizations. Information & Management 23 (1), 239–248.

    Article  Google Scholar 

  • Gupta N (1980) Some alternative definitions of size. The Academy of Management Journal 23 (4), 759–766.

    Article  Google Scholar 

  • Hall RH and Haas JE et al. (1967) Organisational size, complexity and formalization. American Sociological Review 32 (6), 903–912.

    Article  Google Scholar 

  • Hart PE (1962) The size and growth of firms. Economica 29 (113), 29–39.

    Article  Google Scholar 

  • Hart SL and Banbury C (1994) How strategy-making processes can make a difference. Strategic Management Journal 15, 251–269.

    Article  Google Scholar 

  • Hausdorf PA and Duncan D (2004) Firm size and internet recruiting in Canada: a preliminary investigation. Journal of Small Business Management 42 (3), 325–334.

    Article  Google Scholar 

  • Hickson DJ and Pugh DS et al. (1967) Operations technology and organisation structure: an empirical reappraisal. Administrative Science Quarterly 14 (3), 378–397.

    Article  Google Scholar 

  • Hitt LM and Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: three different measures of information technology value. MIS Quarterly 20 (2), 121–142.

    Article  Google Scholar 

  • Hitt M and Hoskisson R et al. (1997) International diversification: effects on innovation and firm performance in product-diversified firms. Academy of Management Journal 40 (4), 767–798.

    Article  Google Scholar 

  • Holden R and Book A et al. (2003) Experimental faking in self-reported psychopathology: unidimensional or multidimensional? Personality and Individual Differences 35 (5), 1107–1117.

    Article  Google Scholar 

  • Holsapple CW and Johnson LE (1994) Business computing research journals: a normalised citation analysis. Journal of Management Information Systems 11 (1), 131–141.

    Article  Google Scholar 

  • Hymer S and Pashigian P (1962) Firm size and rate of growth. The Journal of Political Economy 70 (6), 556–569.

    Article  Google Scholar 

  • Iacobucci D and Neelamegham R et al. (1999) Measurement quality issues in dyadic models of relationships. Social Networks 21 (3), 211–237.

    Article  Google Scholar 

  • Iacovou CL and Benbasat I et al. (1995) Electronic data interchange and small organisations, adoption and impact of technology. MIS Quarterly 19 (1), 465–485.

    Article  Google Scholar 

  • Johnsen JA and Biegel DE et al. (2000) Concept mapping in mental health: uses and adaptations. Evaluation and Program Planning 23, 67–75.

    Article  Google Scholar 

  • Johnson RA and Wichern DW (1982) Applied Multivariate Statistical Analysis. Prentice-Hall Publishers, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Kadiyali V and Vilcassim N et al. (1998) Product line extensions and competitive market interactions: an empirical analysis. Journal of Econometrics 89 (1–2), 339–363.

    Article  Google Scholar 

  • Kalantaridis C (2004) Internationalization, strategic behavior, and the small firm: a comparative investigation. Journal of Small Business Management 42 (3), 245–263.

    Article  Google Scholar 

  • Kapur S (1995) Technological diffusion with social learning. Journal of Industrial Economics 43 (2), 173–196.

    Article  Google Scholar 

  • Kimberly J (1976) Organisational size and the structuralist perspective: a review, critique and proposal. Administrative Science Quarterly 21 (4), 571–597.

    Article  Google Scholar 

  • Kline P (1994) An Easy Guide to Factor Analysis. Routledge Publishers, London.

    Google Scholar 

  • Kruskal JB and Wish M (1978) Multidimensional Scaling, Quantitative Applications in the Social Sciences. No. 07-011, Sage Publications, California.

    Book  Google Scholar 

  • Laitinen EK (2002) A dynamic performance measurement system: evidence from small Finnish technology companies. Scandinavian Journal of Management 18 (1), 65–99.

    Article  Google Scholar 

  • Lang JR and Calatone R et al. (1997) Small firm information seeking as a response to environmental threats and opportunities. Journal of Small Business Management 35, 11–23.

    Google Scholar 

  • Lee J and Miranda SM et al. (2004) IT outsourcing strategies: universalistic, contingency, and configurational explanations of success. Information Systems Research 15, 110–131.

    Article  Google Scholar 

  • Leifer R (1988) Matching computer-based information systems with organizational structures. MIS Quarterly 12 (1), 63–73.

    Article  Google Scholar 

  • Levina N and Xin M (2007) Research note – comparing IT workers’ compensation across country contexts: demographic, human capital, and institutional factors. Information Systems Research 18, 193–210.

    Article  Google Scholar 

  • Lin C and Pervan G (2003) The practice of IS/IT benefits management in large Australian organizations. Information & Management 41 (1), 13–24.

    Article  Google Scholar 

  • Low GC and Henderson-Sellers B et al. (1995) Comparison of object-oriented and traditional systems development issues in distributed environments. Information & Management 28 (5), 327–340.

    Article  Google Scholar 

  • Mabert VA and Soni A et al. (2003) The impact of organization size on enterprise resource planning (ERP) implementations in the US manufacturing sector. Omega 31 (3), 235–246.

    Article  Google Scholar 

  • Mason CF and Phillips OR (2000) An experimental evaluation of strategic preemption. International Journal of Industrial Organization 18 (1), 107–135.

    Article  Google Scholar 

  • McPherson M (1983) The size of voluntary organizations. Social Forces 61 (4), 1044–1064.

    Article  Google Scholar 

  • Meroño-Cerdan AL and Soto-Acosta P (2007) External web content and its influence on organizational performance. European Journal of Information Systems 16 (1), 66–80.

    Article  Google Scholar 

  • Meyers LS and Grossen NE (1974) Behavioural Research: Theory, Procedure and Design. Freeman and Co. Publishers, San Francisco.

    Google Scholar 

  • Miller D (1991) Handbook of Research Design and Social Measurement. 5th edn, Sage Publications, California.

    Google Scholar 

  • Miller D and Droge C (1986) Psychological and traditional determinants of structure. Administrative Science Quarterly 31, 539–560.

    Article  Google Scholar 

  • Miller W (1983) The Survey Method in the Social and Political Sciences. Frances Pinter, London.

    Google Scholar 

  • Mingers J and Harzing A (2007) Ranking journals in business and management: a statistical analysis of the Harzing dataset. European Journal of Information Systems 16 (4), 303–316.

    Article  Google Scholar 

  • Mintzberg H (1979) The Structuring of Organizations. Prentice-Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Mitchell DL and Klein G et al. (1996) Mode and gender effects on survey data quality. Information & Management 30, 27–34.

    Article  Google Scholar 

  • Mullineaux DJ (1978) Economies of scale and organizational efficiency in banking: a profit-function approach. Journal of Finance 33 (1), 259–280.

    Google Scholar 

  • Neuman WL (1994) Social Research Methods: Qualitative and Quantitative Approaches. 2nd edn, Prentice-Hall Publishers, Massachusetts.

    Google Scholar 

  • Newbold P (1991) Statistics for Business and Economics. 3rd edn, Prentice-Hall International, Massachusetts.

    Google Scholar 

  • Norušis MJ (2008) SPSS 16.0 Statistical Procedures Companion. Prentice-Hall, Upper Saddle River, NJ.

    Google Scholar 

  • Nunnally JC (1978) Psychometric Theory. 2nd edn, McGraw-Hill, New York.

    Google Scholar 

  • Oktemgil M and Greenley GE et al. (2000) An empirical study of isolating mechanisms in UK companies. European Journal of Operational Research 122 (3), 638–655.

    Article  Google Scholar 

  • Orlikowski WJ and Baroudi JJ (1991) Studying information technology in organisations: research approaches and assumptions. Information Systems Research 2, 1–28.

    Article  Google Scholar 

  • Orlitzky M (2001) Does firm size confound the relationship between corporate social performance and firm financial performance? Journal of Business Ethics 33 (2), 167–180.

    Article  Google Scholar 

  • Panteli N (2002) Richness, power cues and email text. Information & Management 40 (2), 75–86.

    Article  Google Scholar 

  • Pearce JA and Chapman BL et al. (1982) Environmental scanning for small and growing firms. Journal of Small Business Management 20 (3), 27–35.

    Google Scholar 

  • Peterson PB (2003) The use of expatriates and inpatriates in Central and Eastern Europe since the wall came down. Journal of World Business 38 (1), 55–69.

    Article  Google Scholar 

  • Pleatsikas C and Teece D (2001) The analysis of market definition and market power in the context of rapid innovation. International Journal of Industrial Organization 19 (5), 665–693.

    Article  Google Scholar 

  • Rai A and Bajwa D (1997) An empirical investigation into factors relating to the adoption of executive information systems: an analysis of EIS for collaboration and decision support. Decision Sciences 28 (4), 939–975.

    Article  Google Scholar 

  • Ranganathan C and Brown CV (2006) ERP investments and the market value of firms: toward an understanding of influential ERP project variables. Information Systems Research 17, 145–161.

    Article  Google Scholar 

  • Ray J (1972) A new reliability maximization procedure for Likert scales. Australian Psychologist 7 (1), 40–46.

    Article  Google Scholar 

  • Raymond L (1985) Organisational characteristics and MIS success in the context of small business. MIS Quarterly 9 (1), 37–52.

    Article  Google Scholar 

  • Rogers EM (1995) Diffusion of Innovations. 4th edn, Free Press, New York.

    Google Scholar 

  • Rohlf FJ (1970) Adaptive hierarchical clustering schemes. Systematic Zoology 19, 58–82.

    Article  Google Scholar 

  • Rohlf FJ and Fisher DL (1968) Test for hierarchical structure in random data sets. Systematic Zoology 17, 407–412.

    Article  Google Scholar 

  • Rosenberg S and Kim MP (1975) The method of sorting as a data gathering procedure in multivariate research. Multivariate Behavioral Research 10, 489–502.

    Article  Google Scholar 

  • Russell RM and Maidment SC et al. (1998) An introduction to a UK scheme to help small firms control health risks from chemicals. Annals of Occupational Hygiene 42 (6), 367–376.

    Article  Google Scholar 

  • Schiffman S and Reynolds ML et al. (1981) Introduction to Multidimensional Scaling. Academic Press, New York.

    Google Scholar 

  • Schumpeter J (1942) Capitalism, Socialism, and Democracy. Harper and Row, New York.

    Google Scholar 

  • Schwab DP (1980) Construct validity in organizational behaviour. In Research in Organizational Behaviour (STAW BM and CUMMINGS LL, Eds), pp 3–43, JAI Press, Connecticut.

    Google Scholar 

  • Scott AC and Clayton JE et al. (1991) A Practical Guide to Knowledge Acquisition. Addison-Wesley Publishers, New York.

    Google Scholar 

  • Segars AH and Grover V (1999) Profiles of strategic information systems planning. Information Systems Research 10 (3), 199–232.

    Article  Google Scholar 

  • Sethi V and King WR (1991) Construct measurement in information systems research: an illustration in strategic systems. Decision Sciences 22 (3), 455–472.

    Article  Google Scholar 

  • Shen LY and Lu W et al. (2003) A computer-aided decision support system for assessing a contractor's competitiveness. Automation in Construction 12 (5), 577–587.

    Article  Google Scholar 

  • Silberston A (1972) Economies of scale in theory and practice. The Economic Journal 82 (325), 369–391.

    Article  Google Scholar 

  • Smith HJ and Milberg SJ et al. (1996) Information privacy: measuring individuals’ concerns about organizational practices. MIS Quarterly 20 (2), 167–196.

    Article  Google Scholar 

  • Snizek W (1995) Virtual offices: some neglected considerations. Communications of the ACM 38 (9), 15–17.

    Article  Google Scholar 

  • Sohal AS and Ng L (1998) The role and impact of information technology in Australian business. Journal of Information Technology 13 (3), 201–217.

    Article  Google Scholar 

  • Straub DW (1989) Validating instruments in MIS research. MIS Quarterly 13 (2), 147–169.

    Article  Google Scholar 

  • Strauss A and Corbin J (1998) Basics of Qualitative Research. Sage Publications, London.

    Google Scholar 

  • Tabachnick BG and Fidell LS (1989) Using Multivariate Statistics. 2nd edn, Harper Collins Publishers, New York.

    Google Scholar 

  • Temtime ZT (2003) The moderating impacts of business planning and firm size on total quality management practices. The TQM Magazine 15 (1), 52–61.

    Article  Google Scholar 

  • Thorndike RL and Hagen E (1969) Measurement and Evaluation in Psychology and Education. 3rd edn, John Wiley and Sons, New York.

    Google Scholar 

  • Timmons JA (1990) New Venture Creation: Entrepreneurship in the 1990s. Irwin Publishers, Homewood, Illinois.

    Google Scholar 

  • Torkzadeh G and Doll WJ (1999) The development of a tool for measuring the perceived impact of information technology on work. Omega 27, 327–339.

    Article  Google Scholar 

  • Trochim WMK (1989) An introduction to concept mapping for planning and evaluation. Evaluation and Program Planning 12, 1–16.

    Article  Google Scholar 

  • Trochim WMK (1993) The Concept System. Concept Systems, Ithaca, New York.

    Google Scholar 

  • Turner P and Turner S (2001) A web of contradictions. Interacting with Computers 14 (1), 1–14.

    Article  Google Scholar 

  • Venkatraman N (1989) Strategic orientation of business enterprises: the construct, dimensionality, and measurement. Management Science 35 (8), 942–962.

    Article  Google Scholar 

  • Waldron V (1986) Interviewing for knowledge. IEEE Transactions on Professional Communications 29 (2), 31–34.

    Article  Google Scholar 

  • Wang Y and Tang T et al. (2001) An instrument for measuring customer satisfaction toward web sites that market digital products and services. Journal of Electronic Commerce Research 2 (3), 89–102.

    Google Scholar 

  • Webb EJ (1968) Unconventionality, triangulation and inference. In Readings in Psychological Tests and Measurements (BARNETTE WL, Ed), Revised ed, pp 16–21, Irwin-Dorsey Publishers, Ontario, Canada.

    Google Scholar 

  • Winsten C and Hall M (1961) The measurement of economies of scale. Journal of Industrial Economics 9 (3), 255–264.

    Article  Google Scholar 

  • Wolfram CD (1998) Strategic bidding in a multi-unit auction: an empirical analysis of bids to supply electricity in England and Wales. Rand Journal of Economics 29 (4), 703–725.

    Article  Google Scholar 

  • Woo CY (1987) Path analysis of the relationship between market share, business-level conduct and risk. Strategic Management Journal 8, 149–168.

    Article  Google Scholar 

  • Yao JE and Xu X et al. (2002) Organizational size: a significant predictor of IT innovation adoption. The Journal of Computer Information Systems 43 (2), 76–82.

    Google Scholar 

  • Yap CS (1990) Distinguishing characteristics of organizations using computers. Information & Management 18 (2), 97–107.

    Article  Google Scholar 

  • Zhu K and Dong S et al. (2006) Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European Journal of Information Systems 15 (6), 601–617.

    Article  Google Scholar 

  • Zhu K and Kraemer KL (2002) e-Commerce metrics for net-enhanced organizations: assessing the value of e-Commerce to firm performance in the manufacturing sector. Information Systems Research 13, 275–295.

    Article  Google Scholar 

  • Zhu K and Kraemer KL (2005) Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry. Information Systems Research 16, 61–84.

    Article  Google Scholar 

  • Zhu K and Kraemer K et al. (2003) Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. European Journal of Information Systems 12 (4), 251–268.

    Article  Google Scholar 

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  1. School of Accounting and Business Information Systems, College of Business and Economics, The Australian National University,

    Sigi Goode & Shirley Gregor

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  1. Sigi Goode
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  2. Shirley Gregor
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Correspondence to Sigi Goode.

Appendix

Appendix

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Table a1 Organisational size constructs and indicators from the literature
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Goode, S., Gregor, S. Rethinking organisational size in IS research: meaning, measurement and redevelopment. Eur J Inf Syst 18, 4–25 (2009). https://doi.org/10.1057/ejis.2009.2

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