Absorptive Capacity, Knowledge Acquisition Intensity, and Productivity: Insights from Ghana’s Service Industry Article Swipe
Roland Yaw Kudozia
,
Carolyn Elizabeth Kudozia
,
Nii Ayitey Komey
,
Daniel Owusu-Donkor
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.47772/ijriss.2025.910000693
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.47772/ijriss.2025.910000693
This study examines the association between knowledge acquisition intensity and organizational productivity among service firms in Accra, Ghana, within the frameworks of the knowledge-based view and absorptive capacity theory. Using survey data from telecommunications, banking, ICT, and logistics firms, the analysis explores three hypotheses: that (H1) knowledge acquisition intensity is positively associated with productivity; (H2) the effects differ across acquisition sources—regulatory directives, customer feedback, competitor monitoring, and experiential learning; and (H3) firm characteristics such as size and tenure moderate this relationship. Descriptive and inferential analyses, including Wilcoxon signed-rank tests, Spearman’s correlations, and multiple-regression and moderation models, reveal statistically significant associations between acquisition intensity and higher productivity across six performance indicators (p < .001). Regression results further indicate that regulatory and experiential sources exert the strongest influence, while moderation analysis confirms that larger and older firms experience amplified productivity benefits. The study acknowledges limitations related to cross-sectional design, recall bias, and common method variance, mitigated through procedural and statistical controls. Overall, the findings extend the knowledge-based view by demonstrating that in a regulatory-intensive African context, compliance-driven knowledge acquisition is strongly associated with organizational productivity, conditioned by firm capacity and maturity. Implications are drawn for managers and policymakers on diversifying knowledge sources and transforming regulatory learning into innovation and performance outcomes.
Related Topics
Concepts
Absorptive capacity
Productivity
Business
Knowledge acquisition
Moderation
Knowledge management
Descriptive statistics
Organizational learning
Dreyfus model of skill acquisition
Experiential learning
Service (business)
Survey data collection
Marketing
Regression analysis
Tacit knowledge
Recall
Tertiary sector of the economy
Human capital
Explicit knowledge
Industrial organization
Organizational performance
Experiential knowledge
Association (psychology)
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.47772/ijriss.2025.910000693
- https://rsisinternational.org/journals/ijriss/uploads/vol9-iss10-pg8510-8525-202511_pdf.pdf
- OA Status
- bronze
- OpenAlex ID
- https://openalex.org/W7106223478
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7106223478Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.47772/ijriss.2025.910000693Digital Object Identifier
- Title
-
Absorptive Capacity, Knowledge Acquisition Intensity, and Productivity: Insights from Ghana’s Service IndustryWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-21Full publication date if available
- Authors
-
Roland Yaw Kudozia, Carolyn Elizabeth Kudozia, Nii Ayitey Komey, Daniel Owusu-DonkorList of authors in order
- Landing page
-
https://doi.org/10.47772/ijriss.2025.910000693Publisher landing page
- PDF URL
-
https://rsisinternational.org/journals/ijriss/uploads/vol9-iss10-pg8510-8525-202511_pdf.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
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https://rsisinternational.org/journals/ijriss/uploads/vol9-iss10-pg8510-8525-202511_pdf.pdfDirect OA link when available
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Absorptive capacity, Productivity, Business, Knowledge acquisition, Moderation, Knowledge management, Descriptive statistics, Organizational learning, Dreyfus model of skill acquisition, Experiential learning, Service (business), Survey data collection, Marketing, Regression analysis, Tacit knowledge, Recall, Tertiary sector of the economy, Human capital, Explicit knowledge, Industrial organization, Organizational performance, Experiential knowledge, Association (psychology)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.Overall, | 159 |
| abstract_inverted_index.Wilcoxon | 86 |
| abstract_inverted_index.analysis | 40, 128 |
| abstract_inverted_index.banking, | 34 |
| abstract_inverted_index.capacity | 27, 186 |
| abstract_inverted_index.confirms | 129 |
| abstract_inverted_index.context, | 173 |
| abstract_inverted_index.customer | 62 |
| abstract_inverted_index.examines | 2 |
| abstract_inverted_index.explores | 41 |
| abstract_inverted_index.findings | 161 |
| abstract_inverted_index.indicate | 116 |
| abstract_inverted_index.learning | 203 |
| abstract_inverted_index.managers | 193 |
| abstract_inverted_index.moderate | 78 |
| abstract_inverted_index.strongly | 178 |
| abstract_inverted_index.amplified | 136 |
| abstract_inverted_index.analyses, | 84 |
| abstract_inverted_index.benefits. | 138 |
| abstract_inverted_index.controls. | 158 |
| abstract_inverted_index.feedback, | 63 |
| abstract_inverted_index.including | 85 |
| abstract_inverted_index.intensity | 8, 48, 102 |
| abstract_inverted_index.knowledge | 6, 46, 175, 198 |
| abstract_inverted_index.learning; | 68 |
| abstract_inverted_index.logistics | 37 |
| abstract_inverted_index.maturity. | 188 |
| abstract_inverted_index.mitigated | 153 |
| abstract_inverted_index.outcomes. | 208 |
| abstract_inverted_index.strongest | 124 |
| abstract_inverted_index.variance, | 152 |
| abstract_inverted_index.Regression | 113 |
| abstract_inverted_index.absorptive | 26 |
| abstract_inverted_index.associated | 51, 179 |
| abstract_inverted_index.competitor | 64 |
| abstract_inverted_index.experience | 135 |
| abstract_inverted_index.frameworks | 20 |
| abstract_inverted_index.indicators | 109 |
| abstract_inverted_index.influence, | 125 |
| abstract_inverted_index.innovation | 205 |
| abstract_inverted_index.moderation | 94, 127 |
| abstract_inverted_index.positively | 50 |
| abstract_inverted_index.procedural | 155 |
| abstract_inverted_index.regulatory | 118, 202 |
| abstract_inverted_index.Descriptive | 81 |
| abstract_inverted_index.acquisition | 7, 47, 59, 101, 176 |
| abstract_inverted_index.association | 4 |
| abstract_inverted_index.conditioned | 183 |
| abstract_inverted_index.directives, | 61 |
| abstract_inverted_index.hypotheses: | 43 |
| abstract_inverted_index.inferential | 83 |
| abstract_inverted_index.limitations | 142 |
| abstract_inverted_index.monitoring, | 65 |
| abstract_inverted_index.performance | 108, 207 |
| abstract_inverted_index.signed-rank | 87 |
| abstract_inverted_index.significant | 98 |
| abstract_inverted_index.statistical | 157 |
| abstract_inverted_index.Implications | 189 |
| abstract_inverted_index.Spearman’s | 89 |
| abstract_inverted_index.acknowledges | 141 |
| abstract_inverted_index.associations | 99 |
| abstract_inverted_index.diversifying | 197 |
| abstract_inverted_index.experiential | 67, 120 |
| abstract_inverted_index.policymakers | 195 |
| abstract_inverted_index.productivity | 11, 105, 137 |
| abstract_inverted_index.transforming | 201 |
| abstract_inverted_index.correlations, | 90 |
| abstract_inverted_index.demonstrating | 167 |
| abstract_inverted_index.productivity, | 182 |
| abstract_inverted_index.productivity; | 53 |
| abstract_inverted_index.relationship. | 80 |
| abstract_inverted_index.statistically | 97 |
| abstract_inverted_index.organizational | 10, 181 |
| abstract_inverted_index.characteristics | 72 |
| abstract_inverted_index.cross-sectional | 145 |
| abstract_inverted_index.knowledge-based | 23, 164 |
| abstract_inverted_index.compliance-driven | 174 |
| abstract_inverted_index.multiple-regression | 92 |
| abstract_inverted_index.telecommunications, | 33 |
| abstract_inverted_index.regulatory-intensive | 171 |
| abstract_inverted_index.sources—regulatory | 60 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.88496185 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |