Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya

Paul Thumbi Njoroge

doi:doi:10.11648/j.jbed.20210602.16

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Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya

Paul Thumbi Njoroge

Published in Journal of Business and Economic Development (Volume 6, Issue 2)

Received: 12 April 2021 Accepted: 3 May 2021 Published: 4 June 2021

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Abstract

Exploratory learning is critical in building organizational capability for performance that guarantees future viability and sustainability of the business. Research delving into the nexus between exploratory learning and performance is limited in the context of developing economies. The purpose of this paper was to examine the relationship between exploratory learning and performance and establish the conceptual nature of this relationship by determining the effect of knowledge stock and resource flexibility on this linkage and determine the effect of exploratory learning variables on performance dimensions in the context of commercial banks in Kenya. The study adopted descriptive research design in which a sample of 140 participants from commercial banks in Kenya was selected using stratified random sampling method. Data was collected using a questionnaire administered to management level staff. Multiple regression analysis and correlation analysis were used for hypotheses testing. The results established that knowledge stock which was indicated by tacit knowledge, routines and procedures, and competencies and skills has significant influence on exploratory learning. It provides the capabilities for searching for knowledge of new markets, new technology and new product development. Exploratory learning has a statistically significant positive correlation with performance and has high influence on process efficiency, product quality and customer satisfaction. Resource flexibility was found to have moderating effect on the relationship between exploratory learning and performance. It was found that organizations gain value through bundling and leveraging resource portfolios in the management of scarce resources to the extent that priority is given to high yielding opportunities, cost effective projects and efforts that respond to market, product and customer changes. The study suggests that to enhance firms’ performance, firms should enhance their knowledge capacity, invest in exploratory learning activities and leverage resources for search and operationalization of new markets, new product development and implementation of new technology.

Published in	Journal of Business and Economic Development (Volume 6, Issue 2)
DOI	10.11648/j.jbed.20210602.16
Page(s)	104-114
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Exploratory Learning, Knowledge Stock, Organizational Learning, Performance, Resource Flexibility

References

[1]	Njoroge, P. T. & Muathe, S. M. (2018). Linking Ambidextrous Learning with Organizational Performance: Critical Review of Literature and a Research Agenda. European Journal of Business and Management, 10 (6): 32-47.
[2]	Ahuja, G., Lampert, C. M. (2001). Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal, 22 (6-7): 521–543.
[3]	Katila, R. & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction, Academy of Management Journal, 45 (5): 1183-1194.
[4]	March, J. G., (1991). Exploration and exploitation in organizational learning. Organization Science 2 (1): 71–87.
[5]	Atuahene-Gima, K. & Murray, J. Y. (2007). Exploratory and exploitative learning in new product development: a social capital perspective on new technology ventures in China. Journal of International Marketing, 15 (2): 1–29.
[6]	Lee, C. & Huang, Y. (2012). Knowledge stock, ambidextrous learning, and firm performance: Evidence from technologically intensive industries. Management Decision, 50 (6): 1096-1116.
[7]	Li, Y., Wei, Z., Zhao, J., Zhang, C. & Liu, Y. (2013). Ambidextrous organizational learning, environmental munificence and new product performance: Moderating effect of managerial ties in China. International Journal of Production Economics. 146: 95–105.
[8]	Birkinshaw, J., & Gupta, K. (2013). Clarifying the distinctive contribution of ambidexterity to the field of organization studies. Academy of Management Perspectives, 27: 287–298.
[9]	Patel, P. C., Messersmith, J. G., & Lepak, D. P. (2013). Walking the tightrope: An assessment of the relationship between high-performance work systems and organizational ambidexterity. Academy of Management Journal, 56: 1420–1442.
[10]	Njoroge, P. T., Bula, H. & Wanyoike, R. (2020). Examining the Effect of Knowledge Acquisition and Information Distribution Employees’ Performance in Classified Hospitality Firms in Kenya. Journal of Human Resource Managem ent, 8 (3): 200-208. DOI: 10.11648/j.jhrm.201200803.21.
[11]	Njoroge, P. T., Bula, H. & Wanyoike, R. (2020). Moderating Effect of Organizational Culture on the Relationship between Organizational Learning and Employees’ Performance in Classified Hospitality Firms in Kenya. International Journal of Business and Management, 15 (12): 51-61. DOI: 10.5539/ijbm.v15n12p51.
[12]	Caniëls, M. & Veld, M. (2016). Employee ambidexterity, high performance work systems and innovative work behaviour: How much balance do we need? The International Journal of Human Resource Management, DOI: 10.1080/09585192.2016.1216881.
[13]	Argote, L. (2011). Organizational learning research: Past, present and future. Management Learning, 42 (4), 439-446.
[14]	Chiva, R., Alegre, J., & Lapiedra, R. (2007). Measuring organisational learning capability among the workforce. International Journal of Manpower, 28 (3/4), 224-242.
[15]	Easterby-Smith, M. & Lyles, M. A. (2003). Introduction watersheds of organizational learning and knowledge management. In the Blackwell handbook of organizational learning and knowledge management. Edited by M. Easterby-Smith and J. Burgoyne. Malden/USA: Blackwell.
[16]	16. Cohen W. & Levinthal, D. (1990). Absorptive capacity: a new perspective on learning and innovation. Administration Science, 35 (1): 128–152.
[17]	Auh, S. & Menguc, B. (2005). Balancing exploration and exploitation: the moderating role of competitive intensity. Journal of Business Research, 58 (12): 1652–1661.
[18]	Ajayi, O. M., Odusanya, K. & Morton, S. (2017). Stimulating employee ambidexterity and employee engagement in SMEs. Management Decision, 55 (4): 662-680.
[19]	Gomes, G. & Wojahn, R. M. (2016). Management Organizational learning capability, innovation and performance: study in small and medium-sized enterprises (SMES).
[20]	Raisch, S., & Birkinshaw, J. (2008). Organizational ambidexterity: Antecedents, outcomes, and moderators. Journal of Management, 34: 375–409.
[21]	Cao, Q. Gedajlovic, E. & Zhang, H. (2009). Unpacking organizational ambidexterity: dimensions, contingencies, and synergistic effects. Organization Science, 20 (4): 781–796.
[22]	Gibson, C. B., & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47: 209–226.
[23]	He, Z. L. & Wong, P. K. (2004). Exploration vs. exploitation: an empirical test of the ambidexterity hypothesis. Organization Science, 15 (4): 481–494.
[24]	Lin, Z., Yang, H. & Demirkan, I. (2007). The performance consequences of ambidexterity in strategic alliance formations: empirical investigation and computational theorizing. Management Science, 53; 1645–1658.
[25]	Mom, T. J., Fourné, S. P., & Jansen, J. J. (2015). Managers’ work experience, ambidexterity, and performance: The contingency role of the work context. Human Resource Management, 54: 133–153.
[26]	Raisch, S., Birkinshaw, J., Probst, G. & Tushman, M. L., (2009). Organizational ambidexterity: balancing exploitation and exploration for sustained performance. Organization Science, 20 (4): 685–695.
[27]	Drucker, P. F. (1986). Innovation and Entrepreneurship: Practice and Principles. New York: Harper Business.
[28]	Grant, R. M. (1996). Toward a Knowledge-based Theory of the Firm. Strategic Management Journal, 17 (winter): 109-122.
[29]	Rhee, J., Park, T. & Lee, D. H. (2010). Drivers of innovativeness and performance for innovative SMEs in South Korea: mediation of learning orientation. Technovation, 30 (1): 65-75.
[30]	Sutanto, E. M. (2017). The influence of organizational learning capability and organizational creativity on organizational innovation of Universities in East Java, Indonesia Asia. Pacific Management Review, 22: 128-135. doi.org/10.1016/j.apmrv.2016.11.002.
[31]	Wadhwa, A. & Kotha, S. (2006). Knowledge creation through external venturing: evidence from the telecommunications equipment manufacturing industry. Academy of Management Journal, 49 (4): 1-17.
[32]	Lin, H & Lee, Y. (2017). A Study of the Influence of Organizational Learning on Employees’ Innovative Behavior and Work Engagement by a Cross-Level Examination. Journal of Mathematics Science and Technology Education, 13 (7); 3463-3478.
[33]	Fletcher, M. & Prashantham, S. (2011). Knowledge assimilation processes of rapidly internationalizing firms: Longitudinal case studies of Scottish SMEs. Journal of Small Business and Enterprise Development, 18 (3): 475-501.
[34]	Gelard, P., & Mirsalehi, S. P. (2010). The Relation between Organizational Learning Capability and Product Innovation Performance: An Empirical Test in Iranian Organizations. Paper presented at European Conference on Innovation and Entrepreneurship.
[35]	Huber, G. P. (1991). Organizational Learning: The Contributing Processes and the Literatures. Organization Science, 20 (1), 88-115.
[36]	Richards, G. S. & Duxbery, L. (2014) Work-Group Knowledge Acquisition in Knowledge Intensive Public-Sector Organizations: An Exploratory Study, Journal of Public Administration Research and Theory, 25 (4).
[37]	Sola, O. A. & Ayobami, A. P. (2013). Strategic Impact of Knowledge Management and Organizational Learning on the Perceived Performance of Selected Banks in Oyo State of Nigeria. Journal of Economics and Sustainable Development, 4 (2): 45-54.
[38]	Scott, B. B. (2011). Organizational Learning: A Literature Review. IRC Research program, Queen’s University IRC.
[39]	Senge, P (1990). The Fifth Discipline: The art and practice of the learning organization, London, Doubleday.
[40]	Lee, C. Y., Wang, M. C. & Lin, J. C. (2011). The effects of a focal firm's internal and external boundary conditions on the performance implication of R&D alliance participation. IEEE International Technology Management Conference, 575-586.
[41]	Alvarez, S. A., & Barney, J. B. (2007). Discovery and creation: Alternative theories of entrepreneurial action. Strategic Entrepreneurship Journal, 1 (1): 11–26.
[42]	Sirmon, D. G., Cove, S., Hitt, M. A. Ireland, R. D. & Gilbert, B. A. (2011). Resource orchestration to create competitive advantage: Breadth, depth and life cycle effects. Journal of Management, 37 (5): 1390–412.
[43]	Sirmon, D. G., Cove, S. & Hitt, M. A. & Ireland, R. D. (2007). Managing firm resources in dynamic environments to create value: Looking inside the black box. Academy of Management Review, 32 (1): 273–93.
[44]	Sirmon, D. G., Cove, S. & Hitt, M. A. (2008). Resource management in dyadic competitive rivalry: The effects of resource bundling and deployment. Academy of Management Journal, 51 (5): 919–35.
[45]	Zhou, C. Z., & Wu, F. (2010). Technological capability, strategic flexibility, and product innovation. Strategic Management Journal, 31 (5): 547–61.
[46]	Kaplan, R. S., & Norton, D. P. (1992). The Balanced Scorecard - Measures that drive performance. Harvard Business Review, Jan-Feb: 71-79.
[47]	Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating strategy into action. Boston, Ma: Harvard Business School Press.
[48]	Sink, D. S. & Tuttle, T. (1989). Planning and Measurement in your Organization of the Future. Norcross GA: Industrial Engineering and Management Press.
[49]	Delaney, J. T., & Huselid, M. A. (1996). The Impact of Human Resource Management Practices on Performance in for-Profit and Nonprofit Organizations. Academy of Management Journal, 39: 949–969.
[50]	Creswell, J. W. (2009). Research Design: Qualitative and Mixed Methods Approaches. SAGE: London, UK.
[51]	Bajpai, N. (2011). Business Research Methods. India, Pearson Education.
[52]	Saunders, M., Lewis, P. & Thornhill, A. (2009). Research Methods for Business Students. 5^th Edition, Pearson Education Limited, Edinburgh, England.
[53]	Central Bank of Kenya (2020). Directory of Licensed Commercial Banks, Mortgage Finance Institutions and Authorized Non-Operating Holding Companies in Kenya. http//:www.centralbank.go.ke.
[54]	Cooper, D. R. & Schindler, P. S. (2013). Business Research Methods. 12^th Edition, McGraw-Hill Higher Education.
[55]	Hair. J. F. Jr., RE. Anderson, R. L., Tatham & W. C. Black. (2012). Multivariate Data Analysis with Readings. New Jersey, Englewood Clifts, NJ: Prentice Hall.

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Paul Thumbi Njoroge. (2021). Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. Journal of Business and Economic Development, 6(2), 104-114. https://doi.org/10.11648/j.jbed.20210602.16

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Paul Thumbi Njoroge. Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. J. Bus. Econ. Dev. 2021, 6(2), 104-114. doi: 10.11648/j.jbed.20210602.16

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AMA Style

Paul Thumbi Njoroge. Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. J Bus Econ Dev. 2021;6(2):104-114. doi: 10.11648/j.jbed.20210602.16

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@article{10.11648/j.jbed.20210602.16,
  author = {Paul Thumbi Njoroge},
  title = {Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya},
  journal = {Journal of Business and Economic Development},
  volume = {6},
  number = {2},
  pages = {104-114},
  doi = {10.11648/j.jbed.20210602.16},
  url = {https://doi.org/10.11648/j.jbed.20210602.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jbed.20210602.16},
  abstract = {Exploratory learning is critical in building organizational capability for performance that guarantees future viability and sustainability of the business. Research delving into the nexus between exploratory learning and performance is limited in the context of developing economies. The purpose of this paper was to examine the relationship between exploratory learning and performance and establish the conceptual nature of this relationship by determining the effect of knowledge stock and resource flexibility on this linkage and determine the effect of exploratory learning variables on performance dimensions in the context of commercial banks in Kenya. The study adopted descriptive research design in which a sample of 140 participants from commercial banks in Kenya was selected using stratified random sampling method. Data was collected using a questionnaire administered to management level staff. Multiple regression analysis and correlation analysis were used for hypotheses testing. The results established that knowledge stock which was indicated by tacit knowledge, routines and procedures, and competencies and skills has significant influence on exploratory learning. It provides the capabilities for searching for knowledge of new markets, new technology and new product development. Exploratory learning has a statistically significant positive correlation with performance and has high influence on process efficiency, product quality and customer satisfaction. Resource flexibility was found to have moderating effect on the relationship between exploratory learning and performance. It was found that organizations gain value through bundling and leveraging resource portfolios in the management of scarce resources to the extent that priority is given to high yielding opportunities, cost effective projects and efforts that respond to market, product and customer changes. The study suggests that to enhance firms’ performance, firms should enhance their knowledge capacity, invest in exploratory learning activities and leverage resources for search and operationalization of new markets, new product development and implementation of new technology.},
 year = {2021}
}

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TY  - JOUR
T1  - Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya
AU  - Paul Thumbi Njoroge
Y1  - 2021/06/04
PY  - 2021
N1  - https://doi.org/10.11648/j.jbed.20210602.16
DO  - 10.11648/j.jbed.20210602.16
T2  - Journal of Business and Economic Development
JF  - Journal of Business and Economic Development
JO  - Journal of Business and Economic Development
SP  - 104
EP  - 114
PB  - Science Publishing Group
SN  - 2637-3874
UR  - https://doi.org/10.11648/j.jbed.20210602.16
AB  - Exploratory learning is critical in building organizational capability for performance that guarantees future viability and sustainability of the business. Research delving into the nexus between exploratory learning and performance is limited in the context of developing economies. The purpose of this paper was to examine the relationship between exploratory learning and performance and establish the conceptual nature of this relationship by determining the effect of knowledge stock and resource flexibility on this linkage and determine the effect of exploratory learning variables on performance dimensions in the context of commercial banks in Kenya. The study adopted descriptive research design in which a sample of 140 participants from commercial banks in Kenya was selected using stratified random sampling method. Data was collected using a questionnaire administered to management level staff. Multiple regression analysis and correlation analysis were used for hypotheses testing. The results established that knowledge stock which was indicated by tacit knowledge, routines and procedures, and competencies and skills has significant influence on exploratory learning. It provides the capabilities for searching for knowledge of new markets, new technology and new product development. Exploratory learning has a statistically significant positive correlation with performance and has high influence on process efficiency, product quality and customer satisfaction. Resource flexibility was found to have moderating effect on the relationship between exploratory learning and performance. It was found that organizations gain value through bundling and leveraging resource portfolios in the management of scarce resources to the extent that priority is given to high yielding opportunities, cost effective projects and efforts that respond to market, product and customer changes. The study suggests that to enhance firms’ performance, firms should enhance their knowledge capacity, invest in exploratory learning activities and leverage resources for search and operationalization of new markets, new product development and implementation of new technology.
VL  - 6
IS  - 2
ER  -

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Paul Thumbi Njoroge

School of Business, Kenyatta University, Nairobi, Kenya

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APA Style

Paul Thumbi Njoroge. (2021). Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. Journal of Business and Economic Development, 6(2), 104-114. https://doi.org/10.11648/j.jbed.20210602.16

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ACS Style

Paul Thumbi Njoroge. Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. J. Bus. Econ. Dev. 2021, 6(2), 104-114. doi: 10.11648/j.jbed.20210602.16

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AMA Style

Paul Thumbi Njoroge. Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya. J Bus Econ Dev. 2021;6(2):104-114. doi: 10.11648/j.jbed.20210602.16

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@article{10.11648/j.jbed.20210602.16,
  author = {Paul Thumbi Njoroge},
  title = {Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya},
  journal = {Journal of Business and Economic Development},
  volume = {6},
  number = {2},
  pages = {104-114},
  doi = {10.11648/j.jbed.20210602.16},
  url = {https://doi.org/10.11648/j.jbed.20210602.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jbed.20210602.16},
  abstract = {Exploratory learning is critical in building organizational capability for performance that guarantees future viability and sustainability of the business. Research delving into the nexus between exploratory learning and performance is limited in the context of developing economies. The purpose of this paper was to examine the relationship between exploratory learning and performance and establish the conceptual nature of this relationship by determining the effect of knowledge stock and resource flexibility on this linkage and determine the effect of exploratory learning variables on performance dimensions in the context of commercial banks in Kenya. The study adopted descriptive research design in which a sample of 140 participants from commercial banks in Kenya was selected using stratified random sampling method. Data was collected using a questionnaire administered to management level staff. Multiple regression analysis and correlation analysis were used for hypotheses testing. The results established that knowledge stock which was indicated by tacit knowledge, routines and procedures, and competencies and skills has significant influence on exploratory learning. It provides the capabilities for searching for knowledge of new markets, new technology and new product development. Exploratory learning has a statistically significant positive correlation with performance and has high influence on process efficiency, product quality and customer satisfaction. Resource flexibility was found to have moderating effect on the relationship between exploratory learning and performance. It was found that organizations gain value through bundling and leveraging resource portfolios in the management of scarce resources to the extent that priority is given to high yielding opportunities, cost effective projects and efforts that respond to market, product and customer changes. The study suggests that to enhance firms’ performance, firms should enhance their knowledge capacity, invest in exploratory learning activities and leverage resources for search and operationalization of new markets, new product development and implementation of new technology.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Exploratory Learning as a Driver of Performance: Integrating the Effects of Knowledge Stock and Resource Flexibility in the Context of Commercial Banks in Kenya
AU  - Paul Thumbi Njoroge
Y1  - 2021/06/04
PY  - 2021
N1  - https://doi.org/10.11648/j.jbed.20210602.16
DO  - 10.11648/j.jbed.20210602.16
T2  - Journal of Business and Economic Development
JF  - Journal of Business and Economic Development
JO  - Journal of Business and Economic Development
SP  - 104
EP  - 114
PB  - Science Publishing Group
SN  - 2637-3874
UR  - https://doi.org/10.11648/j.jbed.20210602.16
AB  - Exploratory learning is critical in building organizational capability for performance that guarantees future viability and sustainability of the business. Research delving into the nexus between exploratory learning and performance is limited in the context of developing economies. The purpose of this paper was to examine the relationship between exploratory learning and performance and establish the conceptual nature of this relationship by determining the effect of knowledge stock and resource flexibility on this linkage and determine the effect of exploratory learning variables on performance dimensions in the context of commercial banks in Kenya. The study adopted descriptive research design in which a sample of 140 participants from commercial banks in Kenya was selected using stratified random sampling method. Data was collected using a questionnaire administered to management level staff. Multiple regression analysis and correlation analysis were used for hypotheses testing. The results established that knowledge stock which was indicated by tacit knowledge, routines and procedures, and competencies and skills has significant influence on exploratory learning. It provides the capabilities for searching for knowledge of new markets, new technology and new product development. Exploratory learning has a statistically significant positive correlation with performance and has high influence on process efficiency, product quality and customer satisfaction. Resource flexibility was found to have moderating effect on the relationship between exploratory learning and performance. It was found that organizations gain value through bundling and leveraging resource portfolios in the management of scarce resources to the extent that priority is given to high yielding opportunities, cost effective projects and efforts that respond to market, product and customer changes. The study suggests that to enhance firms’ performance, firms should enhance their knowledge capacity, invest in exploratory learning activities and leverage resources for search and operationalization of new markets, new product development and implementation of new technology.
VL  - 6
IS  - 2
ER  -

Copy | Download