International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 12, Issue 2 (February 2025), Pages: 91-100

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 Original Research Paper

Impact of high and low-level capabilities on bank performance

 Author(s): 

 Mehdi Younes Garrab 1, 2, *, Abdelkarim Yahyaoui 1, 3

 Affiliation(s):

 1College of Business, University of Jeddah, Jeddah, Saudi Arabia
 2Higher Institute of Management, University of Sousse, Sousse, Tunisia
 3Faculty of Law, Economics, and Management Sciences, University of Jendouba, Jendouba, Tunisia

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-4791-3590

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2025.02.010

 Abstract

This study uses the resource-based view of the firm as a theoretical framework to examine the effect of high-level and low-level bank capabilities on market performance. A typology of bank capabilities was developed using an input/output approach to assess these capabilities. An empirical analysis was conducted on Tunisian deposit banks listed on the stock market. The data envelopment analysis (DEA) method was used to estimate the banks' capacities. The findings reveal that high-level bank capabilities are the key factors driving superior and sustainable performance. Additionally, the study confirms that horizontal coherence, achieved through aligning certain low-level capabilities, has a significant positive impact on bank performance.

 © 2025 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Bank capabilities, Market performance, Resource-based view, Horizontal coherence, Data envelopment analysis

 Article history

 Received 18 September 2024, Received in revised form 8 January 2025, Accepted 25 January 2025

 Acknowledgment

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Garrab MY and Yahyaoui A (2025). Impact of high and low-level capabilities on bank performance. International Journal of Advanced and Applied Sciences, 12(2): 91-100

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 Tables

 Table 1 Table 2 

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 References (71)

  1. Alfadli A and Rjoub H (2020). The impacts of bank-specific, industry-specific and macroeconomic variables on commercial bank financial performance: Evidence from the Gulf Cooperation Council countries. Applied Economics Letters, 27(15): 1284-1288. https://doi.org/10.1080/13504851.2019.1676870   [Google Scholar]
  2. Alhassan AL and Asare N (2016). Intellectual capital and bank productivity in emerging markets: Evidence from Ghana. Management Decision, 54(3): 589-609. https://doi.org/10.1108/MD-01-2015-0025   [Google Scholar]
  3. Arellano M (2003). Panel data econometrics. Volume 231, Oxford University Press, Oxford, UK. https://doi.org/10.1093/0199245282.001.0001   [Google Scholar]
  4. Arellano M and Bond S (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2): 277-297. https://doi.org/10.2307/2297968   [Google Scholar]
  5. Arellano M and Bover O (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1): 29-51. https://doi.org/10.1016/0304-4076(94)01642-D   [Google Scholar]
  6. Armstrong CE and Shimizu K (2007). A review of approaches to empirical research on the resource-based view of the firm. Journal of Management, 33(6): 959-986. https://doi.org/10.1177/0149206307307645   [Google Scholar]
  7. Avkiran NK (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences, 35(1): 57-80. https://doi.org/10.1016/S0038-0121(00)00010-0   [Google Scholar]
  8. Belkhaoui S, Lakhal L, and Hellara S (2012). Impact de la structure de marché et du choix stratégique sur la performance bancaire: Cas des pays émergents. Management International, 16(4): 129-149. https://doi.org/10.7202/1013154ar   [Google Scholar]
  9. Belkhaoui S, Lakhal L, Lakhal F, and Hellara S (2014). Market structure, strategic choices and bank performance: A path model. Managerial Finance, 40(6): 538-564. https://doi.org/10.1108/MF-07-2013-0183   [Google Scholar]
  10. Blazevic V and Lievens A (2004). Learning during the new financial service innovation process: Antecedents and performance effects. Journal of Business Research, 57(4): 374-391. https://doi.org/10.1016/S0148-2963(02)00272-2   [Google Scholar]
  11. Blundell R and Bond S (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1): 115-143. https://doi.org/10.1016/S0304-4076(98)00009-8   [Google Scholar]
  12. Boubakri N, Cosset JC, Fischer K, and Guedhami O (2005). Privatization and bank performance in developing countries. Journal of Banking and Finance, 29(8-9): 2015-2041. https://doi.org/10.1016/j.jbankfin.2005.03.003   [Google Scholar]
  13. Castanias RP and Helfat CE (1991). Managerial resources and rents. Journal of Management, 17(1): 155-171. https://doi.org/10.1177/014920639101700110   [Google Scholar]
  14. Castanias RP and Helfat CE (2001). The managerial rents model: Theory and empirical analysis. Journal of Management, 27(6): 661-678. https://doi.org/10.1177/014920630102700604   [Google Scholar]
  15. Chatterjee S, Hadi AS, and Price B (2000). Regression analysis by examples. 3rd Edition, Wiley, New York, USA.   [Google Scholar]
  16. Chen KH (2012). Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry. Journal of Banking and Finance, 36(7):1911-1927. https://doi.org/10.1016/j.jbankfin.2012.02.012   [Google Scholar]
  17. Chen TY and Yeh TL (1998). A study of efficiency evaluation in Taiwan's banks. International Journal of Service Industry Management, 9(5): 402-415. https://doi.org/10.1108/09564239810238820   [Google Scholar]
  18. Chou TC (2011). Exploring call center‐enabled organizational mechanisms associated with combinative capabilities. Management Decision, 49(6): 841-859. https://doi.org/10.1108/00251741111143577   [Google Scholar]
  19. Collis DJ (1994). Research note: How valuable are organizational capabilities? Strategic Management Journal, 15(S1): 143-152. https://doi.org/10.1002/smj.4250150910   [Google Scholar]
  20. Coltman T (2007). Can superior CRM capabilities improve performance in banking. Journal of Financial Services Marketing, 12: 102-114. https://doi.org/10.1057/palgrave.fsm.4760065   [Google Scholar]
  21. Domanović V, Todorović V, and Savović S (2018). Internal factors of bank profitability in the Republic of Serbia. Business and Economic Horizons, 14(3): 659-673. https://doi.org/10.15208/beh.2018.46   [Google Scholar]
  22. Dutta S, Narasimhan O, and Rajiv S (1999). Success in high-technology markets: Is marketing capability critical? Marketing Science, 18(4): 547-568. https://doi.org/10.1287/mksc.18.4.547   [Google Scholar]
  23. Dutta S, Narasimhan OM, and Rajiv S (2005). Conceptualizing and measuring capabilities: Methodology and empirical application. Strategic Management Journal, 26(3): 277-285. https://doi.org/10.1002/smj.442   [Google Scholar]
  24. Favero CA and Papi L (1995). Technical efficiency and scale efficiency in the Italian banking sector: A non-parametric approach. Applied Economics, 27(4): 385-395. https://doi.org/10.1080/00036849500000123   [Google Scholar]
  25. Fedor DB, Caldwell S, and Herold DM (2006). The effects of organizational changes on employee commitment: A multilevel investigation. Personnel Psychology, 59(1): 1-29. https://doi.org/10.1111/j.1744-6570.2006.00852.x   [Google Scholar]
  26. Greene WH (2000). Econometric analysis. 4th Edition, Prentice Hall, Englewood Cliffs, USA.   [Google Scholar]
  27. Grewal R and Slotegraaf RJ (2007). Embeddedness of organizational capabilities. Decision Sciences, 38(3): 451-488. https://doi.org/10.1111/j.1540-5915.2007.00166.x   [Google Scholar]
  28. Gupta N and Mahakud J (2020). Ownership, bank size, capitalization and bank performance: Evidence from India. Cogent Economics and Finance, 8(1): 1808282. https://doi.org/10.1080/23322039.2020.1808282   [Google Scholar]
  29. Hansen LP (1982). Large sample properties of generalized method of moments estimators. Econometrica: Journal of the Econometric Society, 50(4): 1029-1054. https://doi.org/10.2307/1912775   [Google Scholar]
  30. Hausman JA (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 46(6): 1251-1271. https://doi.org/10.2307/1913827   [Google Scholar]
  31. Havrylchyk O (2006). Efficiency of the Polish banking industry: Foreign versus domestic banks. Journal of Banking and Finance, 30(7): 1975-1996. https://doi.org/10.1016/j.jbankfin.2005.07.009   [Google Scholar]
  32. Heiens RA, Leach RT, and McGrath LC (2007). The contribution of intangible assets and expenditures to shareholder value. Journal of Strategic Marketing, 15(2-3): 149-159. https://doi.org/10.1080/09652540701319011   [Google Scholar]
  33. Huynh QT and Huynh T (2020). Comparative significance of human resource management practices on banking financial performance with analytic hierarchy process. Accounting, 6(7): 1323-1328. https://doi.org/10.5267/j.ac.2020.8.018   [Google Scholar]
  34. Jarvenpaa SL and Leidner DE (1998). An information company in Mexico: Extending the resource-based view of the firm to a developing country context. Information Systems Research, 9(4): 342-361. https://doi.org/10.1287/isre.9.4.342   [Google Scholar]
  35. Jeffers PI, Muhanna WA, and Nault BR (2008). Information technology and process performance: An empirical investigation of the interaction between IT and non‐IT resources. Decision Sciences, 39(4): 703-735. https://doi.org/10.1111/j.1540-5915.2008.00209.x   [Google Scholar]
  36. Jeni FA and Al-Amin M (2021). The impact of training and development on employee performance and productivity: An empirical study on private banks in the Noakhali region of Bangladesh. South Asian Journal of Social Studies and Economics, 9(2): 1-18. https://doi.org/10.9734/sajsse/2021/v9i230234   [Google Scholar]
  37. Jeris SS (2021). Factors influencing bank profitability in a developing economy: Panel evidence from Bangladesh. International Journal of Asian Business and Information Management, 12(3): 333-346. https://doi.org/10.4018/IJABIM.20210701.oa20   [Google Scholar]
  38. Joglar H and Chaparro J (2007). Valuing IS/IT resources as an antecedent of absorptive capacity: An RBV perspective. Issues in Informing Science and Information Technology, 4: 445-459. https://doi.org/10.28945/963   [Google Scholar]
  39. Kuchciak I and Warwas I (2021). Designing a roadmap for human resource management in the banking 4.0. Journal of Risk and Financial Management, 14(12): 615. https://doi.org/10.3390/jrfm14120615   [Google Scholar]
  40. Lamarque E (1999). Les activités clés des métiers bancaires: Une analyse par la chaîne de valeur. Finance Contrôle Stratégie, 2(2): 135-160.   [Google Scholar]
  41. Lamarque E (2001). Avantage concurrentiel et compétences clés: Expérience d'une recherche sur le secteur bancaire. Finance Contrôle Stratégie, 4(1): 63-88.   [Google Scholar]
  42. Lamarque É and Maurer F (2009). Le risque opérationnel bancaire: Dispositif d'évaluation et système de pilotage. Revue Française de Gestion, 191(1): 93-108. https://doi.org/10.3166/rfg.191.93-108   [Google Scholar]
  43. Lin BW (2007). Information technology capability and value creation: Evidence from the US banking industry. Technology in Society, 29(1): 93-106. https://doi.org/10.1016/j.techsoc.2006.10.003   [Google Scholar]
  44. Liu L, Timothy V, and Gao Y (2010). A review of approaches of resource-based empirical research in banking. The International Journal of Applied Economics and Finance, 4(4): 230-241. https://doi.org/10.3923/ijaef.2010.230.241   [Google Scholar]
  45. Majumdar SK (2000). Sluggish giants, sticky cultures, and dynamic capability transformation. Journal of Business Venturing, 15(1): 59-78. https://doi.org/10.1016/S0883-9026(98)00010-X   [Google Scholar]
  46. Makhija M (2003). Comparing the resource‐based and market‐based views of the firm: Empirical evidence from Czech privatization. Strategic Management Journal, 24(5): 433-451. https://doi.org/10.1002/smj.304   [Google Scholar]
  47. Mintzberg H (1986). Le pouvoir dans les organizations. Les Editions d'Organization, Paris, France.   [Google Scholar]
  48. Morgan NA, Vorhies DW, and Schlegelmilch BB (2006). Resource–performance relationships in industrial export ventures: The role of resource inimitability and substitutability. Industrial Marketing Management, 35(5): 621-633. https://doi.org/10.1016/j.indmarman.2005.05.018   [Google Scholar]
  49. Mukherjee A, Nath P, and Pal MN (2002). Performance benchmarking and strategic homogeneity of Indian banks. International Journal of Bank Marketing, 20(3): 122-139. https://doi.org/10.1108/02652320210430965   [Google Scholar]
  50. Narasimhan O, Rajiv S, and Dutta S (2006). Absorptive capacity in high-technology markets: The competitive advantage of the haves. Marketing Science, 25(5): 510-524. https://doi.org/10.1287/mksc.1060.0219   [Google Scholar]
  51. Nath P, Nachiappan S, and Ramanathan R (2010). The impact of marketing capability, operations capability and diversification strategy on performance: A resource-based view. Industrial Marketing Management, 39(2): 317-329. https://doi.org/10.1016/j.indmarman.2008.09.001   [Google Scholar]
  52. Oral M and Yolalan R (1990). An empirical study on measuring operating efficiency and profitability of bank branches. European Journal of Operational Research, 46(3): 282-294. https://doi.org/10.1016/0377-2217(90)90002-S   [Google Scholar]
  53. Panwar A, Olfati M, Pant M, and Snasel V (2022). A review on the 40 years of existence of data envelopment analysis models: Historic development and current trends. Archives of Computational Methods in Engineering, 29(7): 5397-5426. https://doi.org/10.1007/s11831-022-09770-3   [Google Scholar] PMid:35702633 PMCid:PMC9184254
  54. Papadopoulos S (2004). Market structure, performance and efficiency in European banking. International Journal of Commerce and Management, 14(1): 79-100. https://doi.org/10.1108/10569210480000175   [Google Scholar]
  55. Priem RL and Butler JE (2001). Is the resource-based "view" a useful perspective for strategic management research? Academy of Management Review, 26(1): 22-40. https://doi.org/10.5465/amr.2001.4011928   [Google Scholar]
  56. Ramanathan R (2003). An introduction to data envelopment analysis: A tool for performance measurement. SAGE Publications, New Delhi, India.   [Google Scholar]
  57. Roberts PW and Amit R (2003). The dynamics of innovative activity and competitive advantage: The case of Australian retail banking, 1981 to 1995. Organization Science, 14(2): 107-122. https://doi.org/10.1287/orsc.14.2.107.14990   [Google Scholar]
  58. Rogers KE (1998). Nontraditional activities and the efficiency of US commercial banks. Journal of Banking and Finance, 22(4): 467-482. https://doi.org/10.1016/S0378-4266(98)00020-X   [Google Scholar]
  59. Saa-Perez PD and Garcia-Falcon JM (2002). A resource-based view of human resource management and organizational capabilities development. International Journal of Human Resource Management, 13(1): 123-140. https://doi.org/10.1080/09585190110092848   [Google Scholar]
  60. Sakar B (2006). A study on efficiency and productivity of Turkish banks in Istanbul stock exchange using Malmquist DEA. Journal of American Academy of Business, 8(2): 145-155.   [Google Scholar]
  61. Sargan JD (1958). The estimation of economic relationships using instrumental variables. Econometrica: Journal of the Econometric Society, 26(3): 393-415. https://doi.org/10.2307/1907619   [Google Scholar]
  62. Shum P, Bove L, and Auh S (2008). Employees' affective commitment to change: The key to successful CRM implementation. European Journal of Marketing, 42(11/12): 1346-1371. https://doi.org/10.1108/03090560810903709   [Google Scholar]
  63. Staub RB, Souza GDS, and Tabak BM (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1): 204-213. https://doi.org/10.1016/j.ejor.2009.04.025   [Google Scholar]
  64. Venkatraman N (1989). The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review, 14(3): 423-444. https://doi.org/10.2307/258177   [Google Scholar]
  65. Wang W, Huang J, Wang H, and Alidaee B (2022). Internal and external analysis of community banks' performance. International Review of Financial Analysis, 84: 102409. https://doi.org/10.1016/j.irfa.2022.102409   [Google Scholar]
  66. Wheelock DC and Wilson PW (1995). Explaining bank failures: Deposit insurance, regulation, and efficiency. The Review of Economics and Statistics, 77(4): 689-700. https://doi.org/10.2307/2109816   [Google Scholar]
  67. Wu HL, Chen CH, and Lin MH (2007). The effect of foreign bank entry on the operational performance of commercial banks in the Chinese transitional economy. Post-Communist Economies, 19(3): 343-357. https://doi.org/10.1080/14631370701504404   [Google Scholar]
  68. Yahyaoui A, Samet K, and Amirat A (2021). Examining the financial development–economic growth nexus from an institutional approach: Evidence from non-oil Arab countries. Asian Economic and Financial Review, 11(6): 457-470. https://doi.org/10.18488/journal.aefr.2021.116.457.470   [Google Scholar]
  69. Yang YF (2012). Service capabilities and customer relationship management: An investigation of the banks in Taiwan. The Service Industries Journal, 32(6): 937-960. https://doi.org/10.1080/02642069.2010.545394   [Google Scholar]
  70. Zubir MZ, Noor AA, Mohd Rizal AM, Harith AA, Abas MI, Zakaria Z, and A Bakar AF (2024). Approach in inputs and outputs selection of data envelopment analysis (DEA) efficiency measurement in hospitals: A systematic review. PLOS ONE, 19(8): e0293694. https://doi.org/10.1371/journal.pone.0293694   [Google Scholar] PMid:39141630 PMCid:PMC11324144
  71. Zúñiga-Vicente JÁ, de la Fuente-Sabaté JM, and González IS (2004). Dynamics of the strategic group membership–performance linkage in rapidly changing environments. Journal of Business Research, 57(12): 1378-1390. https://doi.org/10.1016/S0148-2963(03)00071-7   [Google Scholar]