Conceptualizing a nexus between agility, unobserved differences of dynamic capability, and sustainable performance of microfirms
Abstract
Recent studies have highlighted commonalities in the relationship between dynamic capabilities and firms’ sustainable performance. However, the impact of unobserved differences within the dimensions of dynamic capabilities on firm-level sustainable performance remains unclear. Specifically, in this study, we investigate how unobserved variations in dynamic capabilities influence the sustainable performance of dairy microfirms. Additionally, the study examines the unobserved mediating effects of agility in the relationships between knowledge-sharing sensing capability, managerial cognitive capability, and sustainable performance. Grounded in the Knowledge-Based View (KBV) theory, our study rigorously tests these hypotheses using a unique quantile composite-based path modeling approach. The findings reveal both significant strong and weak unobserved differences in the relationships between knowledge sharing, sensing capability, managerial cognitive capabilities, agility, and the sustainable performance of microfirms. Notably, the results demonstrate that agility significantly mediates the unobserved dimensions of dynamic capabilities in supporting sustainable performance, with the study confirming both full and complementary partial mediation effects. Our findings offer a valuable framework for managers and employees to strategically invest in dynamic capabilities while also discussing the heterogeneous distribution of these capabilities among managers and employees across dairy microfirms.
References
1. Bwabo M, Zhiqiang M, Mingxing L. Understanding the link between knowledge sharing and sustainable performance of microdairy firms: multiple parallel mediations and heterogeneity effect. International Food Market Research Symposium (IFMRS); 2022.
2. Bwabo MH, Zhiqiang M, Mingxing L. Unobserved heterogeneity of dynamic capability and sustainable performance of dairy microfirms, South African Journal of Economic and Management Sciences. 2023; 26(1): a4970. doi: 10.4102/sajems. v26i1.4970
3. Fainshmidt S, Pezeshkan A, Lance Frazier M, et al. Dynamic Capabilities and Organizational Performance: A Meta—Analytic Evaluation and Extension. Journal of Management Studies. 2016; 53(8): 1348–1380. doi: 10.1111/joms.12213
4. Felin T, Hesterly WS. The Knowledge-Based View, Nested Heterogeneity, and New Value Creation: Philosophical Considerations on the Locus of Knowledge. Academy of Management Review. 2007; 32(1): 195–218. doi: 10.5465/amr.2007.23464020
5. Pappa I, Illiopoulos C, Massouras T. On Sustainability of a Dairy Sector in Crisis. International Journal on Food System Dynamics. 2019; 10(2): 130–150. doi: 10.18461/IJFSD.V10I2.08
6. Schwarz JO, Rohrbeck R, Wach B. Corporate foresight as a microfoundation of dynamic capabilities. Futures & Foresight Science. 2019; 2(2). doi: 10.1002/ffo2.28
7. Ali I, Gurd B. Managing operational risks through knowledge sharing in food supply chains. Knowledge and Process Management. 2020; 27(4): 322–331. doi: 10.1002/kpm.1645
8. Kelly P, Shalloo L, Wallace M, et al. The Irish dairy industry—Recent history and strategy, current state and future challenges. International Journal of Dairy Technology. 2020; 73(2): 309–323. doi: 10.1111/1471-0307.12682
9. Ndofor HA, Sirmon DG, He X. Utilizing the firm’s resources: How TMT heterogeneity and resulting faultlines affect TMT tasks. Strategic Management Journal. 2014; 36(11): 1656–1674. doi: 10.1002/smj.2304
10. Sarwar Z, Gao J, Khan A. Nexus of digital platforms, innovation capability, and strategic alignment to enhance innovation performance in the Asia Pacific region: a dynamic capability perspective. Asia Pacific Journal of Management. 2023; 41(2): 867–901. doi: 10.1007/s10490-023-09879-4
11. Harun MD, Hogset H, Mwesiumo D. Dynamic capabilities and sustainability performance: Exploring the moderating role of environmental dynamism in the Norwegian fishing industry. Sustainable Development. 2023; 31(4): 2636–2655. doi: 10.1002/sd.2536
12. Henseler J, Schuberth F. Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research. 2020; 120: 147–156. doi: 10.1016/j.jbusres.2020.07.026
13. Teece DJ, Pisano G, Shuen A. Dynamic Capabilities and Strategic Management. The Nature and Dynamics of Organizational Capabilities. Published online November 29, 2001: 334–362. doi: 10.1093/0199248540.003.0013
14. Jantunen A, Tarkiainen A, Chari S, et al. Dynamic capabilities, operational changes, and performance outcomes in the media industry. Journal of Business Research. 2018; 89: 251–257. doi: 10.1016/j.jbusres.2018.01.037
15. Fainshmidt S, Wenger L, Pezeshkan A, et al. When do Dynamic Capabilities Lead to Competitive Advantage? The Importance of Strategic Fit. Journal of Management Studies. 2018; 56(4): 758–787. doi: 10.1111/joms.12415
16. Endres H, Helm R, Dowling M. Linking the types of market knowledge sourcing with sensing capability and revenue growth: Evidence from industrial firms. Industrial Marketing Management. 2020; 90: 30–43. doi: 10.1016/j.indmarman.2020.06.004
17. Carter CR, Rogers DS. A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management. 2008; 38(5): 360–387. doi: 10.1108/09600030810882816
18. Kurwijila RL, Omore A, Grace D. Article title. The Tanzania Dairy Industry. Sokoine University of Agriculture; 2012.
19. Teece DJ. Dynamic capabilities and entrepreneurial management in large organizations: Toward a theory of the (entrepreneurial) firm. European Economic Review. 2016; 86: 202–216. doi: 10.1016/j.euroecorev.2015.11.006
20. Nickerson JA, Zenger TR. A Knowledge-based Theory of the Firm—A Problem-solving Perspective. SSRN Electronic Journal. 2004; 15(6): 617–632. doi: 10.2139/ssrn.596964
21. Weber Y, Tarba SY. Strategic Agility: A State of the Art Introduction to the Special Section on Strategic Agility. California Management Review. 2014; 56(3): 5–12. doi: 10.1525/cmr.2014.56.3.5
22. Fainshmidt S, Wenger L, Pezeshkan A, et al. When do Dynamic Capabilities Lead to Competitive Advantage? The Importance of Strategic Fit. Journal of Management Studies. 2018; 56(4): 758–787. doi: 10.1111/joms.12415
23. Felin T, Hesterly WS. The Knowledge-Based View, Nested Heterogeneity, and New Value Creation: Philosophical Considerations on the Locus of Knowledge. Academy of Management Review. 2007; 32(1): 195–218. doi: 10.5465/amr.2007.23464020
24. Grochowska R, Szczepaniak I. Sustainability business models in milk processing. Considerations based on the Polish experience. Journal of Agribusiness and Rural Development. 2019; 52(2): 111–122. doi: 10.17306/j.jard.2019.01104
25. Schilke O. On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism. Strategic Management Journal. 2014; 35(2): 179–203. doi: 10.1002/smj.2099
26. Kurtmollaiev S. Dynamic Capabilities and Where to Find Them. Journal of Management Inquiry. 2020; 29(1): 3–16. doi: 10.1177/1056492617730126
27. Sanchez G, Trinchera L, Russolillo G. Partial Least Squares Path Modeling (PLS-PM): R package (version 0.5.0). R programming software. Available online: Website (Accessed on 5 January 2023).
28. Davino C, Vinzi VE. Quantile composite-based path modeling. Advances in Data Analysis and Classification. 2016; 10(4): 491–520. doi: 10.1007/s11634-015-0231-9
29. Dolce P, Davino C, Vistocco D. Quantile composite-based path modeling: algorithms, properties and applications. Advances in Data Analysis and Classification. 2021; 16(4): 909–949. doi: 10.1007/s11634-021-00469-0
30. Lamberti G. QCPM: Quantile Composite Path Modeling. CRAN: Contributed Packages; 2022.
31. Teece DJ. A dynamic capabilities-based entrepreneurial theory of the multinational enterprise. Journal of International Business Studies. 2014; 45(1): 8–37. doi: 10.1057/jibs.2013.54
32. Helfat CE, Peteraf MA. Managerial cognitive capabilities and the microfoundations of dynamic capabilities. Strategic Management Journal. 2014; 36(6): 831–850. doi: 10.1002/smj.2247
33. Helfat CE, Winter SG. Untangling Dynamic and Operational Capabilities: Strategy for the (N)ever-Changing World. Strategic Management Journal. 2011; 32: 1243–1250. doi: 10.1002/smj.955
34. Schilke O, Hu S, Helfat CE. Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research. Academy of Management Annals. 2018; 12(1): 390–439. doi: 10.5465/annals.2016.0014
35. Liu ML, Hsieh MW, Hsiao C, et al. Modeling knowledge sharing and team performance in technology industry: the main and moderating effects of happiness. Review of Managerial Science. 2020; 14(3): 587–610. doi: 10.1007/s11846-018-0301-4
36. Jenkins M, Johnson G. Linking Managerial Cognition and Organizational Performance: A Preliminary Investigation Using Causal Maps. British Journal of Management. 1997; 8(s1): 77–90. doi: 10.1111/1467-8551.8.s1.7
37. Büyüközkan G, Karabulut Y. Sustainability performance evaluation: Literature review and future directions. Journal of Environmental Management. 2018; 217: 253–267. doi: 10.1016/j.jenvman.2018.03.064
38. Beske P, Land A, Seuring S. Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature. International Journal of Production Economics. 2014; 152: 131–143. doi: 10.1016/j.ijpe.2013.12.026
39. Pappa I, Illiopoulos C, Massouras T. On Sustainability of a Dairy Sector in Crisis. International Journal on Food System Dynamics. 2019; 10(2): 130–150. doi: 10.18461/IJFSD.V10I2.08
40. Teece DJ. The Evolution of the Dynamic Capabilities Framework. In: Adams R, Grichnik D, Pundziene A, Volkmann C (editors). Artificiality and Sustainability in Entrepreneurship. Springer International Publishing; 2023.
41. Teece DJ. Dynamic capabilities and entrepreneurial management in large organizations: Toward a theory of the (entrepreneurial) firm. European Economic Review. 2016; 86: 202–216. doi: 10.1016/j.euroecorev.2015.11.006
42. Kogut B, Zander U. Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology. Organization Science. 1992; 3(3): 383–397. doi: 10.1287/orsc.3.3.383
43. Jenkins M, Johnson G. Linking Managerial Cognition and Organizational Performance: A Preliminary Investigation Using Causal Maps. British Journal of Management. 1997; 8(s1): 77–90. doi: 10.1111/1467-8551.8.s1.7
44. Carter CR, Rogers DS. A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management. 2008; 38(5): 360–387. doi: 10.1108/09600030810882816
45. von Keyserlingk MAG, Martin NP, Kebreab E, et al. Invited review: Sustainability of the US dairy industry. Journal of Dairy Science. 2013; 96(9): 5405–5425. doi: 10.3168/jds.2012-6354
46. Ince I, Hahn R. How dynamic capabilities facilitate the survivability of social enterprises: A qualitative analysis of sensing and seizing capacities. Journal of Small Business Management. 2020; 58(6): 1256–1290. doi: 10.1111/jsbm.12487
47. Kumbure MM, Tarkiainen A, Luukka P, et al. Relation between managerial cognition and industrial performance: An assessment with strategic cognitive maps using fuzzy-set qualitative comparative analysis. Journal of Business Research. 2020; 114: 160–172. doi: 10.1016/j.jbusres.2020.04.001
48. Michaelis B, Rogbeer S, Schweizer L, et al. Clarifying the boundary conditions of value creation within dynamic capabilities framework: a grafting approach. Review of Managerial Science. 2021; 15(6): 1797–1820. doi: 10.1007/s11846-020-00403-2
49. Teece DJ, Pisano G, Shuen A. Dynamic Capabilities and Strategic Management. The Nature and Dynamics of Organizational Capabilities. Published online November 29, 2001: 334–362. doi: 10.1093/0199248540.003.0013
50. Wilhelm H, Maurer I, Ebers M. (When) Are Dynamic Capabilities Routine? A Mixed‐Methods Configurational Analysis. Journal of Management Studies. 2021; 59(6): 1531–1562. doi: 10.1111/joms.12789
51. Hernández-Linares R, Kellermanns FW, López-Fernández MC. Dynamic capabilities and SME performance: The moderating effect of market orientation. Journal of Small Business Management. 2020; 59(1): 162–195. doi: 10.1111/jsbm.12474
52. Pais L, dos Santos NR. Knowledge-Sharing, Cooperation, and Personal Development. In: The Wiley Blackwell Handbook of the Psychology of Training, Development, and Performance Improvement. Wiley; 2014. pp. 278–302
53. Walsh JP. Managerial and Organizational Cognition: Notes from a Trip Down Memory Lane. Organization Science. 1995; 6(3): 280-321. doi: 10.1287/orsc.6.3.280
54. Glover JL, Champion D, Daniels KJ, et al. An Institutional Theory perspective on sustainable practices across the dairy supply chain. International Journal of Production Economics. 2014; 152: 102–111. doi: 10.1016/j.ijpe.2013.12.027
55. Sarwar Z, Gao J, Khan A. Nexus of digital platforms, innovation capability, and strategic alignment to enhance innovation performance in the Asia Pacific region: a dynamic capability perspective. Asia Pacific Journal of Management. 2023; 41(2): 867–901. doi: 10.1007/s10490-023-09879-4
56. Büyüközkan G, Karabulut Y. Sustainability performance evaluation: Literature review and future directions. Journal of Environmental Management. 2018; 217: 253–267. doi: 10.1016/j.jenvman.2018.03.064
57. Bourlakis M, Maglaras G, Gallear D, et al. Examining sustainability performance in the supply chain: The case of the Greek dairy sector. Industrial Marketing Management. 2013; 43(1): 56–66. doi: 10.1016/j.indmarman.2013.08.002
58. Brand M, Tiberius V, Bican PM, et al. Agility as an innovation driver: towards an agile front end of innovation framework. Review of Managerial Science. 2021; 15(1): 157–187. doi: 10.1007/s11846-019-00373-0
59. Buys L, Mengersen K, Johnson S, et al. Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: Assessing the viability and sustainability of the dairy industry. Journal of Environmental Management. 2013; 133: 184–192. doi: 10.1016/j.jenvman.2013.12.013
60. Carneiro A. How does knowledge management influence innovation and competitiveness? Journal of Knowledge Management. 2000; 4(2): 87–98. doi: 10.1108/13673270010372242
61. Zhou L, Tokos H, Krajnc D, et al. Sustainability performance evaluation in industry by composite sustainability index. Clean Technologies and Environmental Policy. 2012; 14(5): 789–803. doi: 10.1007/s10098-012-0454-9
62. Liu ML, Hsieh MW, Hsiao C, et al. Modeling knowledge sharing and team performance in technology industry: the main and moderating effects of happiness. Review of Managerial Science. 2020; 14(3): 587–610. doi: 10.1007/s11846-018-0301-4
63. Testa S. Knowledge Intensity and Knowledge Bases in Internationalization Patterns of SMEs in the Food Sector. Journal of International Food & Agribusiness Marketing. 2014; 26(2): 67–88. doi: 10.1080/08974438.2012.755723
64. Teece DJ. Dynamic capabilities and entrepreneurial management in large organizations: Toward a theory of the (entrepreneurial) firm. European Economic Review. 2016; 86: 202–216. doi: 10.1016/j.euroecorev.2015.11.006
65. Bishop M. Pattern Recognition and Machine Learning. Springer Nature; 2006.
66. Podsakoff PM, MacKenzie SB, Lee JY, et al. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 2003; 88(5): 879–903. doi: 10.1037/0021-9010.88.5.879
67. R Core Team. R: A language and environment for statistical computing: R (4.2.2). R Foundation for Statistical Computing, Vienna, Austria; 2022.
68. Lamberti G. QCPM: Quantile Composite Path Modeling. CRAN: Contributed Packages; 2022.
69. Davino C, Dolce P, Taralli SD. A Preliminary approach to handle heterogeneity in the measurement of equitable and sustainable well-being. In: Latan H, Noonan R (editors). Partial least squares path modelling: Basic concepts, methodological issues, and applications. Springer; 2017. pp. 1–414.
70. Henseler J, Sarstedt M. Goodness-of-fit indices for partial least squares path modeling. Computational Statistics. 2012; 28(2): 565–580. doi: 10.1007/s00180-012-0317-1
71. Dolce P. Component-based path modelling open issues and methodological contributions [PhD thesis]. University of Napoli; 2015.
72. Henseler J, Schuberth F. Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research. 2020; 120: 147–156. doi: 10.1016/j.jbusres.2020.07.026
73. Cheng H. Environmental Effect Evaluation: A Quantile-Type Path-Modeling Approach. Sustainability. 2023; 15(5): 4399. doi: 10.3390/su15054399
74. Koenker R, Machado JAF. Goodness of Fit and Related Inference Processes for Quantile Regression. Journal of the American Statistical Association. 1999; 94(448): 1296–1310. doi: 10.1080/01621459.1999.10473882
75. Li G, Li Y, Tsai CL. Quantile Correlations and Quantile Autoregressive Modeling. Journal of the American Statistical Association. 2015; 110(509): 246–261. doi: 10.1080/01621459.2014.892007
76. Davino C, Dolce P, Taralli SD. A Preliminary approach to handle heterogeneity in the measurement of equitable and sustainable well-being. In: Latan H, Noonan R (editors). Partial least squares path modelling: Basic concepts, methodological issues, and applications. Springer; 2017. pp. 1–414.
77. Davino C, Dolce P, Taralli S, et al. Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective. Social Indicators Research. 2020; 161(2–3): 907–936. doi: 10.1007/s11205-020-02425-5
78. Lees N, Lees I. Competitive advantage through responsible innovation in the New Zealand sheep dairy industry. International Food and Agribusiness Management Review. 2017; 21(4): 505–524. doi: 10.22434/ifamr2017.0013
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