African Scientific Journal

Étude de la persistance inflationniste induite par le pass-through du taux de change

2026-07-13T09:41:46+00:00

RESUME

Cette étude analyse l'effet de la dépréciation du taux de change sur l'inflation en République Démocratique du Congo sur la période 1995-2025. Dans un contexte marqué par une dollarisation omniprésente et une forte dépendance envers l'extérieur, cette recherche adopte une approche quantitative fondée sur l'analyse des séries chronologiques. Les relations de court et de long terme sont estimées à l'aide d'un Modèle Vectoriel à Correction d'Erreur (VECM), après vérification de la stationnarité des séries et de l'existence d'une relation de cointégration. L'échantillon est constitué de données macroéconomiques annuelles couvrant la période 1995-2025. Les variables analysées sont l'Indice des Prix à la Consommation, le taux de change, la masse monétaire M2, le Produit Intérieur Brut, l'ouverture commerciale et les Investissements Directs Étrangers.

Les résultats empiriques révèlent l’existence de la mémoire longue de l'inflation en RDC et la dépendance névralgique aux importations. Ce résultat met en évidence un mécanisme de pass-through gravé dans les structures économiques et nourri par les anticipations psychologiques des agents : chaque dépréciation du Franc Congolais se traduit presque mécaniquement par une hausse durable des prix. En outre ; L'étude démontre l'illusion d'un contrôle strict de la monnaie par les autorités. En RDC, la masse monétaire est passive ; sa variabilité dépend à 19,00 % du taux de change et à 15,99 % des entrées d'investissements directs étrangères. De même, la croissance économique réelle est prise en étau, l'instabilité des prix captant près de 20 % de sa fluctuation à long terme.

En conclusion, cette étude confirme l'existence d'un pass-through positif, significatif du taux de change vers les prix ainsi qu'une persistance des effets inflationnistes à court et à long terme en République Démocratique du Congo. Elle met en évidence la nécessité de renforcer la stabilité du taux de change, la crédibilité de la politique monétaire et le de la production nationale afin de réduire la dépendance aux importations et limiter les pressions inflationnistes d'origine externe.

Mots-clés : Pass-through, taux de change, inflation, Modèle à Correction d’Erreur Vectoriel (VECM), RDC

ABSTRACT

This study examines the effect of exchange rate depreciation on inflation in the Democratic Republic of the Congo over the period 1995-2025. In a context characterized by pervasive dollarization and a high degree of external dependence, this research adopts a quantitative approach based on time-series analysis. The short-run and long-run relationships are estimated using a Vector Error Correction Model (VECM), after testing for the stationarity of the series and the existence of a cointegration relationship. The sample consists of annual macroeconomic data covering the period 1995-2025. The variables analyzed include the Consumer Price Index (CPI), the exchange rate, broad money, Gross Domestic Product, trade openness, and Foreign Direct Investment.

The empirical findings reveal the existence of long-term inflation persistence in the Democratic Republic of the Congo, as well as the country's strong dependence on imports. The results highlight an exchange rate pass-through mechanism deeply embedded in the country's economic structure and reinforced by the inflationary expectations of economic agents. Consequently, each depreciation of the Congolese franc is transmitted almost mechanically into a sustained increase in domestic prices. Furthermore, the findings suggest that the monetary authorities have limited control over the money supply. In the Democratic Republic of the Congo, broad money (M2) appears to be largely endogenous, with 19.00% of its long-run variability explained by exchange rate fluctuations and 15.99% by inflows of Foreign Direct Investment. Similarly, real economic growth remains constrained, with price instability accounting for nearly 20% of its long-run fluctuations.

In conclusion, this study confirms the existence of a positive and statistically significant exchange rate pass-through to domestic prices, together with the persistence of inflationary effects in both the short and long run in the Democratic Republic of the Congo. The findings underscore the need to strengthen exchange rate stability, enhance the credibility of monetary policy, and promote domestic production in order to reduce import dependence and mitigate externally induced inflationary pressures.

Keywords: Pass-Through, Exchange Rate Inflation, Exchange Rate, VECM, Monetary Policy, Democratic Republic of the Congo.

When Employer Branding Alone Isn't Enough: The Mediating Power of Candidate Satisfaction in Talent Attraction

2026-07-10T10:04:57+00:00

Abstract

Purpose. In a context shaped by globalization, accelerated digital transformation, and an intensifying war for talent, employer branding has emerged as a strategic lever for organizations seeking to attract scarce and valuable competencies. While the direct effects of employer branding on organizational attractiveness are well documented, the intermediary and contextual mechanisms through which this influence unfolds remain insufficiently understood, particularly within specific sectoral and national settings such as the Moroccan call center industry. This article addresses this gap through a sequential mixed-methods design, combining an exploratory qualitative study with a confirmatory quantitative study.

Design/methodology/approach. The study was conducted at the Concentrix call center in Agadir, Morocco, a sector characterized by high workforce turnover and intense competition for talent, through a sequential mixed-methods design combining an exploratory qualitative study with a confirmatory quantitative study, the former informing the construction of the latter. Sample. The exploratory phase relied on thirteen semi-structured interviews conducted with recently hired employees, analyzed through computer-assisted thematic analysis using NVivo 11, combining within-case and cross-case coding. The confirmatory phase relied on a structured questionnaire administered, following an exhaustive sampling strategy, to employees and candidates of the same organization, analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), entirely implemented within the R statistical environment using the psych, REdaS and seminr packages.

Findings. The qualitative phase identified three structuring themes, employer branding (reputation, organizational culture, compensation, communication), candidate satisfaction (clarity of information, recruitment process experience, feedback interactivity, expectation matching), and talent attraction (value compatibility, development opportunities, value proposition, organizational engagement), together with a transversal contextual theme, labor market conditions, acting as a moderating factor. The quantitative phase statistically confirmed these qualitative insights: the direct effect of employer branding on talent attraction proved weak and non-significant (β = 0.018; t = 1.24; p = 0.216), whereas the indirect effect mediated by candidate satisfaction was robust and highly significant (employer branding, satisfaction: β = 0.052; t = 4.37; p < 0.001; satisfaction, attraction: β = 0.061; t = 5.12; p < 0.001), raising the explained variance from R² = 58% to R² = 72%. The integration of control variables and the labor market moderator raised the model's explanatory power to R² = 94%, with all interaction coefficients between labor market conditions and satisfaction dimensions proving significant (coefficients ranging from 0.187 to 0.447; p < 0.05).

Conclusion. Taken together, these results show that employer branding does not attract talent directly: its influence operates almost entirely through the satisfaction candidates experience during the recruitment process, a mediating mechanism whose strength is itself shaped by prevailing labor market conditions. For organizations, and for call centers in particular, this implies that investing in the coherence and quality of the candidate experience yields more than communication effort alone, and that retention and attraction strategies should be adjusted to the state of the labor market.

Originality/value. This research offers one of the few empirical investigations of employer branding grounded in the Moroccan call center sector, an industry that remains scarcely represented in the international literature on this topic. Methodologically, it illustrates a complete sequential mixed-methods protocol, from inductive thematic analysis to confirmatory PLS-SEM modeling entirely conducted in the open-source R environment, offering a transparent and reproducible alternative to proprietary structural modeling software. Theoretically, it provides robust empirical support for the full mediating role of candidate satisfaction and for the moderating role of labor market conditions in the employer branding–talent attraction relationship.

Keywords: employer branding; talent attraction; candidate satisfaction; labor market conditions; mixed methods; thematic analysis; PLS-SEM; R software; call centers; Morocco.

Vers une gestion intelligente du patrimoine culturel : apports, enjeux et perspectives de la transformation numérique

2026-07-13T10:01:40+00:00

Résumé

La transformation numérique s'impose aujourd'hui comme un levier majeur de modernisation de la gestion du patrimoine culturel, en offrant de nouvelles perspectives pour la conservation, la documentation, la valorisation et la gouvernance des biens patrimoniaux. Cet article vise à analyser les apports de la transformation numérique dans la gestion du patrimoine culturel, en mettant en évidence les principaux outils technologiques mobilisés, ainsi que les enjeux et les perspectives associés à leur déploiement. Sur le plan méthodologique, l'étude repose sur une revue de littérature fondée sur l'analyse critique de publications scientifiques, de rapports institutionnels et de documents de référence nationaux et internationaux relatifs à la transformation numérique et à la gestion du patrimoine culturel. Les résultats montrent que les bases de données patrimoniales, les systèmes d'information géographique (SIG), le Historic Building Information Modeling (HBIM), les technologies de numérisation tridimensionnelle, la réalité virtuelle, les plateformes numériques, l'intelligence artificielle, l'Internet des objets et les jumeaux numériques contribuent à améliorer la connaissance, la conservation et la valorisation du patrimoine culturel. Ces technologies favorisent également une gouvernance plus intégrée, une meilleure coordination entre les acteurs et une prise de décision fondée sur des données fiables. Toutefois, leur déploiement demeure confronté à plusieurs défis, notamment en matière d'interopérabilité des systèmes, de financement, de développement des compétences numériques et d'adaptation des cadres juridiques et institutionnels. L'étude conclut que la transformation numérique constitue un levier stratégique pour construire une gestion patrimoniale plus intelligente, collaborative et durable, à condition qu'elle s'accompagne d'une gouvernance adaptée, d'un renforcement des capacités et d'une coordination renforcée entre les différents acteurs. Dans le contexte marocain, les orientations du CESE et la stratégie Digital Morocco 2030 offrent un cadre favorable à cette transition.

Mots clés : Transformation numérique ; Gestion du patrimoine culturel ; Patrimoine culturel ; Technologies numériques ; SIG ; HBIM ; Intelligence artificielle ; Gouvernance patrimoniale.

Abstract

Digital transformation has become a strategic driver for modernizing cultural heritage management by providing innovative solutions for the documentation, conservation, enhancement, and governance of heritage assets. This paper examines the contribution of digital transformation to cultural heritage management by analysing the main digital tools and technologies currently employed, as well as the opportunities and challenges associated with their implementation. The study is based on a comprehensive literature review of scientific publications, institutional reports, and international reference documents addressing digital transformation and cultural heritage management. The findings highlight that heritage databases, Geographic Information Systems (GIS), Historic Building Information Modelling (HBIM), three-dimensional digitization, virtual reality, digital platforms, artificial intelligence, the Internet of Things (IoT), and Digital Twins significantly improve heritage documentation, conservation, monitoring, and dissemination. These technologies also support more integrated governance, strengthen collaboration among stakeholders, and promote data-driven decision-making. However, their implementation remains constrained by technical, financial, legal, and organizational challenges, including system interoperability, funding limitations, digital skills development, and regulatory adaptation. The paper also emphasizes that recent national initiatives in Morocco, particularly the recommendations of the Economic, Social and Environmental Council (CESE) and the Digital Morocco 2030 strategy, provide favorable conditions for accelerating digital transformation in the cultural heritage sector. Ultimately, digital transformation represents a key opportunity to develop a more intelligent, collaborative, and sustainable approach to cultural heritage management.

Keywords: Digital Transformation; Cultural Heritage Management; Cultural Heritage; Geographic Information Systems (GIS); Historic Building Information Modelling (HBIM); Artificial Intelligence; Digital Twins; Smart Heritage.

Infrastructure, trade openness, and territorial development in Morocco: A Time Series Analysis (1970–2023)

2026-07-10T10:40:12+00:00

Abstract

Infrastructure is widely regarded as a key driver of trade openness, particularly in developing economies where high transport and transaction costs constrain external integration. Global empirical evidence confirms that modern infrastructure reduces trade barriers, improves competitiveness, and facilitates participation in global value chains. Yet the magnitude and durability of this effect often vary across countries. In Morocco, infrastructure has been at the center of development strategies since the 1990s, with large-scale projects such as the Tangier Med port, highway expansion, and high-speed rail, alongside progressive trade liberalization through WTO membership and multiple free trade agreements. Despite these efforts, it remains unclear to what extent infrastructure development has effectively translated into greater trade openness. This study addresses that question by analyzing the relationship between infrastructure investment and Morocco’s trade openness over the period 1970-2023. Using annual data from the World Bank and employing the autoregressive distributed lag (ARDL) approach to capture both short- and long-run dynamics. Trade openness is measured as the trade-to- GDP ratio, with gross fixed capital formation (GFCF) as the proxy for infrastructure, and GDP growth and FDI as control variables. The results show that infrastructure investment has a positive and significant effect on trade openness in the short run, but no evidence of a stable long-run relationship is found. These findings partially validate the research hypothesis and suggest that infrastructure alone is insufficient to sustain openness without complementary policies such as trade facilitation, institutional reforms, and regional integration.

Keywords : Trade openness, territorial development, infrastructure, Morocco, ARDL model.