Citation
Pathmanathan, Shamila
(2024)
Features of lexical bundles across the introduction, method and results sections of business studies research articles.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Lexical bundles are defined as a group of words that occur repeatedly together
within the same register or genre and carry out specific functions. Lexical
bundles are considered important building blocks of written academic
discourse as they are prevalent in written registers. Due to their vital
importance, they have been the focus of attention of research on academic
written discourse over the last two decades. Although lexical bundles have
been proven to be pervasive in academic written discourse, academic writers
especially novice and L2 learners encounter difficulties when implementing
lexical bundles in their writing particularly in discipline-specific academic
writing. It is evident that lexical bundles play an instrumental role in shaping
academic texts. Therefore, it is worth exploring the application of lexical
bundles in academic texts particularly in a specific academic discipline. The
current study adopts a corpus-based approach and examines the application
of lexical bundles in business studies research articles published in high impact factor journals in this respective field. Subsequently, this study helps in
the development of pedagogically useful list of lexical bundles in the field of
business studies for academic writers.
In the current study, the occurrence of lexical bundles within each section of
the research article; the introduction, method and results sections in business
studies research articles were identified and examined in terms of frequency,
structure and function. Subsequently, the differences in the use of lexical
bundles across these three sections were analysed. In order to explore these
bundles, Business Studies Corpus (BSC) was developed. The BSC was
compiled from 500 business research articles of high-impact international
journals in the field of business studies. The BSC are composed of research
articles across 5 main sub-disciplines; accounting, economics, finance,
management and marketing.
In order to extract target bundles from the BSC, AntConc 3.5.8 (Anthony,
2019) software was used. Moreover, two modified versions of analytical
frameworks developed by Biber et al. (1999) and Hyland (2008a) were
employed in the current study to classify bundles according to their structural
and functional characteristics.
The findings denote that the results section is the most densely formulaic part
of the BSC, in terms of the type or token frequency of bundles. Variations in
terms of the structure and functions of lexical bundles have been identified in
each section of the research article. Differences in the distribution of various functional categories indicated the existence of a significant association
between the discourse aims of a given section and the lexical bundles that are
most typical of that part of the research article.
The present study has pedagogical implications to EAP course designers and
instructors to utilize the useful list of lexical bundles in the class and integrate
them into the curricula. The results of the study are also beneficial for
instructors in providing teaching materials to raise learners’ awareness of the
appropriate use of the lexical bundles to achieve a style of academic writing
useful for publishing in academic journals.
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Additional Metadata
| Item Type: |
Thesis
(Doctoral)
|
| Subject: |
Linguistics |
| Subject: |
Education |
| Subject: |
Business |
| Call Number: |
FBMK 2024 65 |
| Chairman Supervisor: |
Associate Professor Shamala a/p Paramasivam |
| Divisions: |
Faculty of Modern Language and Communication |
| Keywords: |
Business studies; Corpus; English for academic purposes (eap); Lexical bundles; Research articles |
| Sustainable Development Goals (SDGs): |
SDG 4: Quality Education, SDG 17: Partnerships for the Goals, SDG 9: Industry, Innovation and Infrastructure |
| Depositing User: |
MS. HADIZAH NORDIN
|
| Date Deposited: |
04 Aug 2026 01:25 |
| Last Modified: |
04 Aug 2026 01:25 |
| URI: |
http://psasir.upm.edu.my/id/eprint/127611 |
| Statistic Details: |
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