[go: up one dir, main page]

Skip to main content

Advertisement

Log in

Disentangling the effects of organizational capabilities, innovation and firm size on SME sales growth

  • Published:
Small Business Economics Aims and scope Submit manuscript

Abstract

This paper focuses on certain drivers of SME sales growth related to knowledge and innovation. Building on the dynamic capabilities literature, we test whether two organizational capabilities (external sourcing and employee involvement in renewal activities) predict sales growth, and if so, whether such effects are mediated by process and/or product innovation. Based on survey data from a panel study of Dutch SMEs, and controlling for several firm characteristics (firm size, sector, age and family business), we conclude that external sourcing has direct effects on both product and process innovation, with an indirect effect (mediated by process innovation) on sales growth. In line with our hypothesis development, we also find that employee involvement, while positively affecting process innovation, has a negative effect on sales growth. Firm size moderates the effects of two of the variables (external sourcing and product innovation) on sales growth, with more positive effects found for the smallest firms, results supporting the nimbleness (versus resource-based) view.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. Eisenhardt and Martin (2000) define dynamic capabilities as the “antecedent organizational and strategic routines by which managers alter their resource base—acquire and shed resources, integrate them together and recombine them—to generate new value-creating strategies” (Eisenhardt and Martin 2000, p. 1107).

  2. The panel was not asked these questions in 2001.

  3. Despite a high correlation, low VIF scores (<2) were found when both items were included in the same regression analysis, indicating low multicollinearity. Furthermore, the contribution of each item to sales growth differed (negative for employee involvement and non-significant for process innovation, regardless of the order in which the items were entered into the model), suggesting the need to treat them as separate items. This is consistent with content analysis reflecting one item as input and the other as innovation output.

  4. Extreme values for individual periods—annual growths rates of more than 100 % or less than 50 %—were removed. In these cases, the average annual growth rate was computed over the remaining periods. By removing outlier values, we correct for business-cycle effects (i.e., years of incidentally high or low sales growth).

  5. Data available from the authors.

  6. More detailed data on the VIF scores are available upon request.

  7. In an analysis not shown, process innovation 1999 does not explain significant variance in average sales growth. Given the lack of a normal distribution and a high correlation with employee involvement 1999, we decided it would be better to use the Process Innovation 2000 indicator in the model.

References

  • Almus, M. (2002). What characterizes a fast-growing firm? Applied Economics, 34(12), 1497–1508.

    Article  Google Scholar 

  • Audretsch, D. B. (1995). Innovation, growth and survival. International Journal of Industrial Organisation, 13(4), 441–457.

    Article  Google Scholar 

  • Audretsch, D. B., & Keilbach, M. (2008). Resolving the knowledge paradox: Knowledge-spillover entrepreneurship and economic growth. Research Policy, 37(10), 1697–1705.

    Article  Google Scholar 

  • Bahadir, S. C., Bharadwaj, S., & Parzen, M. (2009). A meta-analysis of the determinants of organic sales growth. International Journal of Research in Marketing, 26(4), 263–275.

    Article  Google Scholar 

  • Banbury, C. M., & Mitchell, W. (1995). The effect of introducing important incremental innovations on market share and business survival. Strategic Management Journal, 16(Special issue), 161–182.

    Google Scholar 

  • Barney, J. B. (1986). Strategic factor markets: Expectations, luck and business strategy. Management Science, 32(10), 1231–1241.

    Article  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 173–182.

    Article  Google Scholar 

  • Barringer, B. R., & Jones, F. F. (2004). Achieving rapid growth: Revisiting the managerial capacity problem. Journal of Developmental Entrepreneurship, 9(1), 73–86.

    Google Scholar 

  • Bhaskaran, S. (2006). Incremental innovation and business performance: Small and medium-size food enterprises in a concentrated industry environment. Journal of Small Business Management, 44(1), 64–80.

    Article  Google Scholar 

  • Calantone, R. J., Garcia, R., & Droge, C. (2003). The effects of environmental turbulence on new product development strategy planning. Journal of Product Innovation Management, 20(2), 90–103.

    Article  Google Scholar 

  • Calantone, R. J., Harmancioglu, N., & Droge, C. (2010). Inconclusive innovation “returns”: A meta-analysis of research on innovation in new product development. Journal of Product Innovation Management, 27(7), 1065–1081.

    Article  Google Scholar 

  • Calantone, R. J., Vickery, S. K., & Droge, C. (1995). Business performance and strategic new product development activities: An empirical investigation. Journal of Product Innovation Management, 12(3), 214–223.

    Article  Google Scholar 

  • Caloghirou, Y., Kastelli, I., & Tsakanikas, A. (2004). Internal capabilities and external knowledge sources: Complements or substitutes for innovative performance? Technovation, 24(1), 29–39.

    Article  Google Scholar 

  • Capron, L., & Mitchell, W. (2009). Selection capability: How capability gaps and internal social frictions affect internal and external strategic renewal. Organization Science, 20(2), 294–312.

    Article  Google Scholar 

  • Chaney, P. K., & Devinney, T. M. (1992). New product innovations and stock price performance. Journal of Business Finance and Accounting, 19(5), 677–695.

    Article  Google Scholar 

  • Coad, A., & Rao, R. (2008). Innovation and firm growth in high-tech sectors: A quantile regression approach. Research Policy, 37(4), 633–648.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555–590.

    Article  Google Scholar 

  • Damanpour, F., & Gopalakrishnan, S. (2001). The dynamics of the adoption of product and process innovations in organizations. Journal of Management Studies, 38(1), 45–65.

    Article  Google Scholar 

  • Day, G. (1994). The capabilities of market-driven organizations. Journal of Marketing, 58(4), 37–62.

    Article  Google Scholar 

  • De Jong, J. P. J. (2000). Measuring Innovative Intensity, Research Report 9912/A. EIM: Zoetermeer, The Netherlands.

    Google Scholar 

  • De Jong, J. P. J., & Vermeulen, P. A. M. (2006). Determinants of product innovation in small firms. International Small Business Journal, 24(6), 587–607.

    Article  Google Scholar 

  • De Kok, J. M. P., & Uhlaner, L. M. (2001). Organization context and human resource management in the small firm. Small Business Economics, 17(4), 273–291.

    Article  Google Scholar 

  • Desouza, K. C., & Awazu, Y. (2006). Knowledge management at SMEs: Five peculiarities. Journal of Knowledge Management, 10(1), 32–43.

    Article  Google Scholar 

  • Diehl, M., & Stroebe, W. (1987). Productivity loss in brainstorming groups: Toward a solution of a riddle. Journal of Personality and Social Psychology, 53(3), 497–509.

    Article  Google Scholar 

  • Dobbs, M., & Hamilton, R. T. (2007). Small business growth: Recent evidence and new directions. International Journal of Entrepreneurial Behaviour & Research, 13(5), 296–322.

    Article  Google Scholar 

  • Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10/11), 1105–1121.

    Article  Google Scholar 

  • Ettlie, J. E., & Reza, E. M. (1992). Organizational integration and process innovation. Academy of Management Journal, 35(4), 795–827.

    Article  Google Scholar 

  • Frazier, P. A., Tix, A. P., & Barron, K. E. (2004). Testing moderator and mediator effects in counseling psychology research. Journal of Counseling Psychology, 51(1), 115–134.

    Article  Google Scholar 

  • Freel, M. S. (2000). Do small innovating firms outperform non-innovators? Small Business Economics, 14(3), 195–210.

    Article  Google Scholar 

  • Freel, M. S. (2005). Perceived environmental uncertainty and innovation in small firms. Small Business Economics, 25(1), 49–64.

    Article  Google Scholar 

  • Freel, M. S., & Robson, P. J. A. (2004). Small firm innovation, growth and performance: evidence from Scotland and Northern England. International Small Business Journal, 22(6), 561–575.

    Article  Google Scholar 

  • Garud, R., Nayyar, P. R., & Shapira, Z. B. (1997). Technological innovation: Oversights and forecasts. Cambridge: Press Syndicate of the University of Cambridge.

    Book  Google Scholar 

  • Geroski, P. A. (1995). What do we know about entry? International Journal of Industrial Organization, 13(4), 421–440.

    Article  Google Scholar 

  • Geroski, P., & Machin, S. (1993). Innovation, profitability and growth over the business cycle. Empirica, 20(1), 35–50.

    Article  Google Scholar 

  • Gopalakrishnan, S., Bierly, P., & Kessler, E. H. (1999). A reexamination of product and process innovations using a knowledge-based view. The Journal of High Technology Management Research, 10(1), 147–166.

    Article  Google Scholar 

  • Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(special issue), 109–122.

    Google Scholar 

  • Gupta, A. K., & Govindarajan, V. (2000). Knowledge flows within multinational corporations. Strategic Management Journal, 21(4), 473–496.

    Article  Google Scholar 

  • Hair, J. F., Anderson, R., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis. Upper Saddle River, NJ.: Prentice Hall.

    Google Scholar 

  • Hall, L. A., & Bagchi-Sen, S. (2002). A study of R&D, innovation, and business performance in the Canadian biotechnology industry. Technovation, 22(4), 231–244.

    Article  Google Scholar 

  • Helfat, C. E. (1994). Evolutionary trajectories in petroleum firm R&D. Management Science, 40(12), 1720–1747.

    Article  Google Scholar 

  • James, L. R. & Brett, J. M. (1984). Mediators, moderators, and tests for mediation. Journal of Applied Psychology, 69(2), 307–321.

    Google Scholar 

  • Jansen, J. J. P., Van den Bosch, F. A. J., & Volberda, H. W. (2005). Managing potential and realized absorptive capacity: How do organizational antecedents matter? Academy of Management Journal, 48(6), 999–1015.

    Article  Google Scholar 

  • Johannessen, J., Olsen, B., & Lumpkin, G. T. (2001). Innovation as newness: What is new, how new, and new to whom? European Journal of Innovation Management, 4(1), 20–31.

    Article  Google Scholar 

  • Kor, Y. Y., & Mahoney, J. T. (2004). Edith Penrose’s (1959) contributions to the resource-based view of strategic management. Journal of Management Studies, 41(1), 183–191.

    Article  Google Scholar 

  • Levin, R., Klevorick, A., Nelson, R., & Winter, S. (1987) Appropriating the returns from industrial R&D. Brookings Papers on Economic Activity, 18(3), 783–832.

    Google Scholar 

  • Lichtenthaler, U. (2011). Open innovation: Past research, current debates, and future directions. Academy of Management Perspectives, 25(1), 75–93.

    Article  Google Scholar 

  • Lippman, S. A., & Rumelt, R. P. (1982). Uncertain imitability: An analysis of interfirm differences in efficiency under competition. The Bell Journal of Economics, 13(2), 418–438.

    Article  Google Scholar 

  • Littunen, H., & Tohmo, T. (2003). The high growth in new metal-based manufacturing and business service firms in Finland. Small Business Economics, 21(2), 187–200.

    Article  Google Scholar 

  • Lo, A. W., & MacKinlay, A. C. (1990). When are contrarian profits due to stock market overreaction? Review of Financial Studies, 3(2), 175–205.

    Article  Google Scholar 

  • Lumpkin, G. T., & Dess, G. G. (1996). Clarifying the entrepreneurial orientation construct and linking it to performance. Academy of Management Review, 21(1), 135–172.

    Google Scholar 

  • Macpherson, A., & Holt, R. (2007). Knowledge, learning and small firm growth: A systematic review of the evidence. Research Policy, 36(2), 172–192.

    Article  Google Scholar 

  • Miller, D., & Toulouse, J. (1986). Chief executive personality and corporate strategy and structure in small firms. Management Science, 32(11), 1389–1409.

    Article  Google Scholar 

  • Mishina, Y., Pollock, T. G., & Porac, J. F. (2004). Are more resources always better for growth? Resource stickiness in market and product expansion. Strategic Management Journal, 25(12), 1179–1197.

    Article  Google Scholar 

  • Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Nicolaou, N., & Birley, S. (2003). Academic networks in a trichotomous categorisation of university spinouts. Journal of Business Venturing, 18(3), 333–359.

    Article  Google Scholar 

  • Nooteboom, B. (1993). Firm size effects on transaction costs. Small Business Economics, 5(4), 283–295.

    Article  Google Scholar 

  • Ostgaard, T. A., & Birley, S. (1996). New venture growth and personal networks. Journal of Business Research, 36(1), 37–50.

    Article  Google Scholar 

  • Penrose, E. (1959). The theory of the growth of the firm. New York: Wiley.

    Google Scholar 

  • Podsakoff, P. M., & Organ, D. W. (1986). Self reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544.

    Article  Google Scholar 

  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.

    Article  Google Scholar 

  • Reichstein, T., & Salter, A. (2006). Investigating the sources of process innovation among UK manufacturing firms. Industrial and Corporate Change, 15(4), 653–682.

    Google Scholar 

  • Robson, P. J. A., & Bennett, R. J. (2000). SME growth: The relationship with business advice and external collaboration. Small Business Economics, 15(3), 193–208.

    Article  Google Scholar 

  • Rodan, S., & Galunic, D. (2004). More than network structure: How knowledge heterogeneity influences managerial performance and innovativeness. Strategic Management Journal, 25(6), 541–562.

    Article  Google Scholar 

  • Roper, S. (1997). Product innovation and small business growth: A comparison of the strategies of German, UK and Irish companies. Small Business Economics, 9(6), 523–537.

    Article  Google Scholar 

  • Rosenbusch, N., Brinckmann, J., & Bausch, A. (2011). Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs. Journal of Business Venturing, 26(5), 441–457.

    Article  Google Scholar 

  • Schoonhoven, C. B., Eisenhardt, K. M., & Lyman, K. (1990). Speeding products to market: Waiting time to first product introduction in new firms. Administrative Science Quarterly, 35(1), 177–207.

    Article  Google Scholar 

  • Sheremata, W. A. (2000). Centrifugal and centripetal forces in radical new product development under time pressure. Academy of Management Review, 25(2), 389–408.

    Google Scholar 

  • Short, J. C., McKelvie, A., Ketchen, D. J., & Chandler, G. N. (2009). Firm and industry effects on firm performance: A generalization and extension for new ventures. Strategic Entrepreneurship Journal, 3(1), 47–65.

    Article  Google Scholar 

  • Singh, K., & Mitchell, W. (2005). Growth dynamics: The bidirectional relationship between interfirm collaboration and business sales in entrant and incumbent alliances. Strategic Management Journal, 26(6), 497–521.

    Article  Google Scholar 

  • Soni, P. K., Lilien, G. L., & Wilson, D. T. (1993). Industrial innovation and firm performance: A re-conceptualization and exploratory structural equation analysis. International Journal of Research in Marketing, 10(4), 365–380.

    Article  Google Scholar 

  • Stam, E., & Wennberg, K. (2009). The roles of R&D in new firm growth. Small Business Economics, 33(1), 77–89.

    Article  Google Scholar 

  • Storey, D. J. (1994). Understanding the small business sector. London: Routledge.

    Google Scholar 

  • Stuart, T. E. (2000). Interorganizational alliances and the performance of firms: A study of growth and innovation rates in a high-technology industry. Strategic Management Journal, 21(8), 791–811.

    Article  Google Scholar 

  • Szulanski, G. (1996). Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17(Winter special issue), 27–43.

    Google Scholar 

  • Takeuchi, H., & Nonaka, I. (2004). Hitotsubashi on knowledge management . Singapore City: Wiley.

  • Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350.

    Article  Google Scholar 

  • Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

    Article  Google Scholar 

  • Tether, B. S., & Tajar, A. (2008). The organizational-cooperation mode of innovation and its prominence amongst European service firms. Research Policy, 37(4), 720–739.

    Article  Google Scholar 

  • Thompson, L. (2003). Improving the creativity of organizational work groups. Academy of Management Executive, 17(1), 96–109.

    Article  Google Scholar 

  • Uhlaner, L. M. (2005). The use of the Guttman scale in development of a family orientation index for small-to-medium-sized firms. Family Business Review, 18(1), 41–56.

    Article  Google Scholar 

  • Uit Beijerse, R. P. (2000). Knowledge management in small and medium-sized companies: Knowledge management for entrepreneurs. Journal of Knowledge Management, 4(2), 162–179.

    Article  Google Scholar 

  • Utterback, J. M. (1994). Managing the dynamics of innovation. Cambridge, MA: Harvard Business School Press.

    Google Scholar 

  • Utterback, J. M., & Abernathy, W. J. (1975). A dynamic model of process and product innovation. Omega, 3(6), 639–656.

    Article  Google Scholar 

  • Van Wijk, R., Jansen, J. J. P., & Lyles, M. A. (2008). Inter- and intra-organizational knowledge transfer: A meta-analytic review and assessment of its antecedents and consequences. Journal of Management Studies, 45(4), 830–853.

    Article  Google Scholar 

  • Verhoeven, W. H. J. (2004). Firm dynamics and labour productivity. In G. Gelauff, L. Klomp, S. Raes, & T. Roelandt (Eds.), Fostering productivity: Patterns, determinants and policy implications (pp. 213–241). Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180.

    Article  Google Scholar 

  • Wolff, J. A., & Pett, T. L. (2006). Small-firm performance: Modeling the role of product and process improvements. Journal of Small Business Management, 44(2), 268–284.

    Article  Google Scholar 

  • Wong, P. K., Lee, L., & Foo, M. D. (2008). Occupational choice: The influence of product vs. process innovation. Small Business Economics, 30(3), 267–281.

    Article  Google Scholar 

  • Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.

    Google Scholar 

  • Zahra, S. A., Neubaum, D. O., & Huse, M. (2000). Entrepreneurship in medium-size companies: Exploring the effects of ownership and governance systems. Journal of Management, 26(5), 947–976.

    Article  Google Scholar 

  • Zahra, S. A., Sapienza, H. J., & Davidsson, P. (2006). Entrepreneurship and dynamic capabilities: A review, model and research agenda. Journal of Management Studies, 43(4), 917–955.

    Article  Google Scholar 

Download references

Acknowledgments

The present paper has gone through many iterations. The authors would like to thank Mickey Folkeringa and Joris Meijaard for their contributions to earlier versions of the paper. The research has been supported by the framework of the research program SCALES, carried out by Panteia/EIM and financed by the Dutch Ministry of Economic Affairs, Agriculture and Innovation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lorraine M. Uhlaner.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Uhlaner, L.M., van Stel, A., Duplat, V. et al. Disentangling the effects of organizational capabilities, innovation and firm size on SME sales growth. Small Bus Econ 41, 581–607 (2013). https://doi.org/10.1007/s11187-012-9455-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11187-012-9455-7

Keywords

JEL Classifications

Navigation