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Management control tools for Moroccan industrial companies: Application of Target Costing and Artificial Intelligence

Salim Merjane, Chaimaa Touili, Mouaad Khalil, Karima Touili, Mohammed Fikri

Abstract


Technological advances and intensified competition on world markets have led to product diversification, forcing companies to adjust their production and marketing strategies using modern management tools. However, to meet the complex challenges posed by cost management and production process optimization, an essential dimension to consider is the integration of artificial intelligence into the Target Costing process. The main objective of this article is to detail the implementation of this Japanese method in the Moroccan context, focusing in particular on Moroccan industrial companies. To achieve our goal, an extensive literature review has been undertaken. However, there is a lack of documentation concerning the understanding of this method and its impact on Moroccan industrial companies. In order to better understand this relationship, we undertook a literature review focusing on the role of this instrument within industrial companies in Morocco, adopting an analytical approach. It should be noted that Target Costing is a mechanism for adapting companies to the Moroccan environment, encouraging organizational change in response to the needs of the Moroccan market while ensuring its sustainability. It also fosters collaboration between stakeholders, as well as compliance with Moroccan regulations and standards, helping to preserve the competitive edge of Moroccan industrial companies. In the Moroccan context, the adoption of artificial intelligence as part of Target Costing could bring significant benefits to industrial companies. These include a better understanding of local market needs, optimization of production processes to meet changing demands, and more informed decision-making when defining product selling prices. This study presents contributions from both academic and managerial perspectives, although it does raise certain limitations linked to the scarcity of articles and publications in the Moroccan context.


Keywords


Target Costing; management control; management control tools; artificial intelligence; Moroccan context; Moroccan industrial companies

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References


1. Leininger C. The different roles of management control. 2020. p. 4.

2. Kaplan A, Haenlein M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons. 2019, 62(1): 15-25. doi: 10.1016/j.bushor.2018.08.004

3. Sakurai M. Target costing and how to use it. Journal of cost management. 1989, 3(2), 39-50.

4. Hopgood AA. The State of Artificial Intelligence. Advances in Computers. Published online 2005: 1-75. doi: 10.1016/s0065-2458(05)65001-2

5. Merjane S, Touili K, Houam R. The role of ‘TARGET COSTING’ in optimizing the costs of companies: Case of the industrial sector. International Journal of Advanced Research in Innovation, Management & Social Sciences (IJARIMSS). 2023, 6.

6. Attar H, Jamal Z. The impact of ERP system strategic alignment on organizational performance: The case of Moroccan insurance and mutual companies. Alternatives Managériales Economiques. 2020, 2(3), 300-319.

7. Belhaj Y. Du Big data et de l’intelligence artificielle vers le Big contrôle de gestion. International Journal of Accounting, Finance, Auditing, Management and Economics. 2023, 4(5-2), 311-342.

8. Bouin X, Simon FX. The new faces of management control, 4th ed. Tools and behaviors. Dunod. 2015.

9. Merjane S, Touili K, Fikri M. Target Costing: A management control tool and a performance lever. International Journal of Accounting, Finance, Auditing, Management and Economics. 2023, 4(5-1), 401-414.

10. Malleret V. Can we manage the cost-value relationship (French)? Comptabilité Contrôle Audit. 2009, Tome 15(1): 7-34. doi: 10.3917/cca.151.0007

11. Slimani K, Khoulji S, Mortreau A, et al. From tradition to innovation: The telecommunications metamorphosis with AI and advanced technologies. Journal of Autonomous Intelligence. 2023, 7(1). doi: 10.32629/jai.v7i1.1099

12. Gopalakrishnan M, Libby T, Samuels JA, et al. The effect of cost goal specificity and new product development process on cost reduction performance. Accounting, Organizations and Society. 2015, 42: 1-11. doi: 10.1016/j.aos.2015.01.003

13. Chou JS, Tai Y, Chang LJ. Predicting the development cost of TFT-LCD manufacturing equipment with artificial intelligence models. International Journal of Production Economics. 2010, 128(1): 339-350. doi: 10.1016/j.ijpe.2010.07.031

14. Fosso Wamba S, Akter S, Edwards A, et al. How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics. 2015, 165: 234-246. doi: 10.1016/j.ijpe.2014.12.031

15. Stadtherr F, Wouters M. Extending target costing to include targets for R&D costs and production investments for a modular product portfolio—A case study. International Journal of Production Economics. 2021, 231: 107871. doi: 10.1016/j.ijpe.2020.107871

16. Deng S, Yeh TH. Using least squares support vector machines for the airframe structures manufacturing cost estimation. International Journal of Production Economics. 2011, 131(2): 701-708. doi: 10.1016/j.ijpe.2011.02.019

17. Loyer JL, Henriques E, Fontul M, et al. Comparison of Machine Learning methods applied to the estimation of manufacturing cost of jet engine components. International Journal of Production Economics. 2016, 178: 109-119. doi: 10.1016/j.ijpe.2016.05.006

18. Stockton DJ, Khalil RA, Mukhongo LM. Cost model development using virtual manufacturing and data mining: part II—comparison of data mining algorithms. The International Journal of Advanced Manufacturing Technology. 2012, 66(9-12): 1389-1396. doi: 10.1007/s00170-012-4416-5

19. Hammann D. The Management of Direct Material Cost During New Product Development: A Case Study on the Application of Big Data, Machine Learning, and Target Costing [PhD thesis]. Karlsruhe Institute of Technology; 2022.

20. Partovi FY, Anandarajan M. Classifying inventory using an artificial neural network approach. Computers & Industrial Engineering. 2002, 41(4): 389-404. doi: 10.1016/s0360-8352(01)00064-x

21. OCDE. OECD Science, Technology and Industry Scoreboard 1999: Benchmarking Knowledge-based Economies, Éditions OCDE, Paris. 1999. doi:10.1787/sti_scoreboard-1999-en.

22. Haut commissariat au plan: National business survey 2019. Available online: https://www.hcp.ma/Enquete-nationale-aupres-des-entreprises-2019_a2405.html, consulted on 25/09/2023 (accessed on 19 November 2019).

23. Clark C. The conditions of economic progress. The conditions of economic progress. 1967.

24. Tremblay G. La société de l’information : du fordisme au gatesisme. Conférence Southam. Communication. 1995, 16(2): 130-158. doi: 10.3406/comin.1995.1742

25. Sue R. Between work and leisure: the emergence of a quaternary sector (French). Cahiers internationaux de sociologie. 1995, 401-415.

26. Roure C. Epistemology of school knowledge and cultural meaning of physical and sporting activities. Education Crossroads. 2013, (1), 163-178.

27. Pesqueux Y. The methodological question in management sciences: constructivist attitude and positivist attitude. 2020.

28. Allard-Poesi F. Code the data. Conducting a research project: a qualitative perspective. 2003, 245, 290.

29. Giordano Y, Jolibert A. Specify the purpose of the search. 2012.

30. Thiétart RA. Research Methods in Management, 4th edition. Dunod. 2014.

31. Kotter JP. Leadership change. Harvard Business School Press. 1996.

32. Guilhon A. Organizational change is learning. Revue française de gestion. 1998, (120), 98-107.

33. Collerette P, Delisle G, Perron R. Organizational change: theory and practice. PUQ. 1997.

34. Belanger L, Jacques J. Organizational change and development. The human dimension of organizations. 1994, (2), 357-386.

35. Demers C. From change management to the ability to change. The evolution of research on organizational change from 1945 to the present. Gestion-Montreal-. 1999, 24, 131-139.

36. Lakhdar ME, Pesqueux Y. Resistance to change in associations. The case of a Moroccan microfinance association. Management & Social Sciences. 2016, (1), 98-106.

37. Messaoudi. Customer orientation at the heart of organizational change within the national social security fund. Issues and implications. Moroccan Journal of Research in Management and Marketing. 2017, 1(16).

38. Besson P, Rowe F. Strategizing information systems-enabled organizational transformation: A transdisciplinary review and new directions. The journal of strategic information systems. 2012, 21(2), 103-124.

39. Burns T, Stalker GM. Mechanistic and organic systems. Classics of organizational theory. 1961, 209-214.

40. Horngren CT. Accounting principles: private or public sector? Journal of Accountancy. 1972. (pre-1986), 133(000005), 37.

41. Guilding C, Drury C, Tayles M. An empirical investigation of the importance of cost‐plus pricing. Vinten G, ed. Managerial Auditing Journal. 2005, 20(2): 125-137. doi: 10.1108/02686900510574548

42. Cinquini L, Tenucci A. Strategic management accounting and business strategy: a loose coupling? Journal of Accounting & Organizational Change. 2010, 6(2): 228-259. doi: 10.1108/18325911011048772

43. Kato Y. Target costing support systems: lessons from leading Japanese companies. Management Accounting Research. 1993, 4(1): 33-47. doi: 10.1006/mare.1993.1002

44. Cooper R, Slagmulder R. Interorganizational cost management and relational context. Accounting, Organizations and Society. 2004, 29(1): 1-26. doi: 10.1016/s0361-3682(03)00020-5

45. Hibbets AR, Albright T, Funk W. The competitive environment and strategy of target costing implementers: Evidence from the field. Journal of Managerial Issues. 2003, 65-81.

46. Feil P, Yook KH, Kim IW. Japanese target costing: a historical perspective. International Journal. 2004, 11(1), 10-19.

47. Langfield-Smith K. A Review of Quantitative Research in Management Control Systems and Strategy. Handbooks of Management Accounting Research. Published online 2006: 753-783. doi: 10.1016/s1751-3243(06)02012-8

48. Abdel-Kader M, Luther R. The impact of firm characteristics on management accounting practices: A UK-based empirical analysis. The British Accounting Review. 2008, 40(1): 2-27. doi: 10.1016/j.bar.2007.11.003

49. Hoque Z. Linking environmental uncertainty to non-financial performance measures and performance: a research note. The British Accounting Review. 2005, 37(4): 471-481. doi: 10.1016/j.bar.2005.08.003

50. Drury CM. Management and cost accounting. Springer. 2013.

51. Davenport TH, Ronanki R. Artificial intelligence for the real world. Harvard business review. 2018, 96(1), 108-116.

52. Bhimani A, Willcocks L. Digitisation, ‘Big Data’ and the transformation of accounting information. Accounting and Business Research. 2014, 44(4): 469-490. doi: 10.1080/00014788.2014.910051

53. Agrawal A, Gans J, Goldfarb A. Prediction, Judgment and Complexity: A Theory of Decision Making and Artificial Intelligence. National Bureau of Economic Research, 2018. doi: 10.3386/w24243

54. Noui F, Bektache F, Kadi M. Cost calculation practices and contingency: the accounting information system in smes in the algerian service sector. The Revue Des Sciences Commerciales. 2023, 21(2), 81-100.

55. Van Caillie D. The exercise of management control in an SME context: comparative study of French, Canadian and Belgian cases. In Identification and management of risks: issues for auditing, accounting and management control. 2003.

56. Elhamma A. Activity-based accounting in Morocco: An empirical study using contingency theory. el-Bahith Review. 2010, 8(1), 39-48.

57. Malmi T. Activity-based costing diffusion across organizations: an exploratory empirical analysis of Finnish firms. Accounting, Organizations and Society. 1999, 24(8): 649-672. doi: 10.1016/s0361-3682(99)00011-2

58. Krumwiede KR. ABC why it’s tried and how it succeeds. Strategic finance. 1998, 79(10), 32.

59. Dahlgren J, Holmström M, Nehler H. Activity-Based Costing-Diffusion and Adoption. In Communication à la conférence annuelle de l’European Accounting Association, Athènes. 2001.

60. Bjørnenak T. Diffusion and accounting: the case of ABC in Norway. Management accounting research. 1997, 8(1), 3-17.

61. Chafi H, Rguibi K, Hajaji O, Es-Sabir A. Challenges of implementing the Time Driven Activity Based Costing (TDABC) method applied to industry in Morocco. 2021.

62. Rahmouni AFA. Implementation of activity-based accounting in French companies: characteristics and factors of adoption and success [Doctoral dissertation]. University of Southern Toulon Var. 2008.

63. Hamood HH, Omar N, Sulaiman S. Target costing practices: A review of literature. Asia-Pacific Management Accounting Journal (APMAJ). 2011, 6(1), 1-22.

64. Swenson DW, Buttross TE, Kim IW. Using the CAM-I diagnostic to evaluate readiness for target costing. Journal of Cost Management. 2005, 19(3), 41-48.

65. Badrane N, Bamousse Z. The introduction of instant transfers: What benefits for corporate cash management in Morocco? International Journal of Accounting, Finance, Auditing, Management and Economics. 2023, 4(4-1), 669-683.

66. Badrane N, Bamousse Z. Green Finance and Cash Management: An Innovative Alliance for a Prosperous and Sustainable Future in Africa. In: Salvador Bizotto BL. (editor). Academic Research & Reviews in Social, Human, and Administrative Sciences-III-. Ankara, Türkiye: Global Academy Publishing House. 2023, 208-227.




DOI: https://doi.org/10.32629/jai.v7i5.1524

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