The University of Southampton
University of Southampton Institutional Repository

Determinants and impact of production planning and control accounting techniques on competitiveness of manufacturing companies: a structural equation modelling approach

Determinants and impact of production planning and control accounting techniques on competitiveness of manufacturing companies: a structural equation modelling approach
Determinants and impact of production planning and control accounting techniques on competitiveness of manufacturing companies: a structural equation modelling approach

Purpose: this study aims to investigate four internal (organisational structure, quality of information technology, business strategy and market orientation) and two external (competition intensity and perceived environmental uncertainty) contextual factors affecting the use of production planning and control accounting techniques (PPC), as well as the impact of PPC usage on organisational competitiveness.

Design/methodology/approach: seven major PPC techniques were investigated, namely: attribute costing, lifecycle costing, quality costing, target costing, value-chain costing, activity-based costing and activity-based management. By deploying a multi-informant strategy, a structured questionnaire was used to gather survey data from 129 senior accounting, finance and production personnel of publicly quoted manufacturing companies in Nigeria. 

Findings: the results, using structural equation modelling, show that market orientation is the strongest determinant of PPC usage. The inability of competition intensity and perceived environmental uncertainty to notably affect PPC usage suggests that external environmental pressure to use PPC is weak. Although PPC can engender organisational competitiveness, their interactive usage yields optimal results. 

Originality/value: the study contributes to knowledge by: (i) presenting evidence that although PPC techniques can engender organisational competitiveness, it is their interactive usage that yields optimal results; (ii) empirically demonstrating that contextual factors influence PPC usage in line with the contingency theory; and (iii) validating the diffusion of innovation theory that organisations will typically deploy PPC techniques because of their relative advantage of improving organisational competitiveness.

Competitive advantage, Contingency theory, Market orientation, Nigerian manufacturing sector, Production planning and control
1030-9616
453-478
Oyewo, Babajide
36c93e4d-3041-4cef-8a0d-9f72f417e249
Alta'any, Mohammad
0d1ba050-a2e7-4f27-aabd-bbc1b13f29b1
Alo, Kolawole Adeyemi
1f2d421a-2fae-443c-8ab4-ecde2e94e493
Dube, Negroes Tembo
72a62bef-8469-4c47-b3f4-101ed5d26044
Oyewo, Babajide
36c93e4d-3041-4cef-8a0d-9f72f417e249
Alta'any, Mohammad
0d1ba050-a2e7-4f27-aabd-bbc1b13f29b1
Alo, Kolawole Adeyemi
1f2d421a-2fae-443c-8ab4-ecde2e94e493
Dube, Negroes Tembo
72a62bef-8469-4c47-b3f4-101ed5d26044

Oyewo, Babajide, Alta'any, Mohammad, Alo, Kolawole Adeyemi and Dube, Negroes Tembo (2024) Determinants and impact of production planning and control accounting techniques on competitiveness of manufacturing companies: a structural equation modelling approach. Accounting Research Journal, 37 (4), 453-478. (doi:10.1108/ARJ-01-2023-0014).

Record type: Article

Abstract

Purpose: this study aims to investigate four internal (organisational structure, quality of information technology, business strategy and market orientation) and two external (competition intensity and perceived environmental uncertainty) contextual factors affecting the use of production planning and control accounting techniques (PPC), as well as the impact of PPC usage on organisational competitiveness.

Design/methodology/approach: seven major PPC techniques were investigated, namely: attribute costing, lifecycle costing, quality costing, target costing, value-chain costing, activity-based costing and activity-based management. By deploying a multi-informant strategy, a structured questionnaire was used to gather survey data from 129 senior accounting, finance and production personnel of publicly quoted manufacturing companies in Nigeria. 

Findings: the results, using structural equation modelling, show that market orientation is the strongest determinant of PPC usage. The inability of competition intensity and perceived environmental uncertainty to notably affect PPC usage suggests that external environmental pressure to use PPC is weak. Although PPC can engender organisational competitiveness, their interactive usage yields optimal results. 

Originality/value: the study contributes to knowledge by: (i) presenting evidence that although PPC techniques can engender organisational competitiveness, it is their interactive usage that yields optimal results; (ii) empirically demonstrating that contextual factors influence PPC usage in line with the contingency theory; and (iii) validating the diffusion of innovation theory that organisations will typically deploy PPC techniques because of their relative advantage of improving organisational competitiveness.

Text
1 PAPER ARJ JUNE 2024 - Accepted Manuscript
Download (102kB)
Text
2 Tables ARJ JUNE 2024
Download (43kB)
Other
3FIGUR~1
Download (227kB)

More information

Accepted/In Press date: 18 June 2024
e-pub ahead of print date: 17 July 2024
Published date: 6 August 2024
Keywords: Competitive advantage, Contingency theory, Market orientation, Nigerian manufacturing sector, Production planning and control

Identifiers

Local EPrints ID: 493156
URI: http://eprints.soton.ac.uk/id/eprint/493156
ISSN: 1030-9616
PURE UUID: a9ad05fd-3597-48db-af0b-f0d46a7cba3b
ORCID for Babajide Oyewo: ORCID iD orcid.org/0000-0002-4499-601X

Catalogue record

Date deposited: 23 Aug 2024 16:59
Last modified: 23 Aug 2024 16:59

Export record

Altmetrics

Contributors

Author: Babajide Oyewo ORCID iD
Author: Kolawole Adeyemi Alo
Author: Negroes Tembo Dube

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×