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This review provides a comprehensive, step-by-step guide to the application of partial least squares structural equation modeling (PLS-SEM) for novice researchers. This is a conceptual and literature-based review that focuses on best practices and PLS-SEM literature. It highlights the rationale for using PLS-SEM, sample size, software tools, and essential metrics in PLS-SEM analysis. Drawing on best practices and recent literature, the review offers a framework for conducting and reporting PLS-SEM analysis. The review presents essential such as outer loadings, Cronbach’s alpha coefficients, average variance extracted (AVE), composite reliability, cross-loadings, Heterotrait-Monotrait ratio of correlations (HTMT), the Fornell-Larcker criterion, variance inflation factor (VIF), and redundancy analysis. Moreover, for more consistent results, the paper emphasizes on researchers to employ 10,000 bootstrap subsamples and Bias-corrected and accelerated (BCa) bootstrap in assessing the structural model. Insights regarding path coefficients, p-values, R-square (R2), f-square (f2), and Q-square (Q2),  are also presented. Furthermore, the review underscores the trade-off between predictive power and model fit when applying PLS-SEM. The presented practical insights alert novice researchers in avoiding common pitfalls and enhance the methodological rigor of empirical research that utilizes PLS-SEM. This step-by-step guide supports early-career researchers and contributes to the ongoing debates on improving methodological clarity and transparency.

This study was deliberately designed to empirically examine how Artificial Intelligence (AI) enhances supply chain performance within Tanzanian brewery companies, addressing a critical gap between global theoretical potential and local practical realities. Using a mixed-methods, embedded single-case study approach, data were collected from 86 participants at Tanzania Breweries Limited (TBL) through questionnaires, semi-structured interviews, and focus group discussions. The findings revealed a fragmented yet influential adoption landscape, where tools like predictive analytics and machine learning significantly boosted service quality and certain efficiency measures; however, these benefits were notably limited by organizational resistance, weak data governance, and major external infrastructural barriers. As an original contribution, this study offers fresh, context-specific insights into the socio-technical dynamics of AI adoption in a lesser-studied Tanzanian industrial setting. Practically, managers are urged to prioritize core investments in change management and data integrity, while socially, effective integration can promote market stability and skills growth, contributing to wider socioeconomic progress. In conclusion, the study emphasizes that AI’s transformative promise is not assured by technology alone but depends on strong internal capacity and a supportive external environment. A noted limitation is the single-case focus, which may restrict generalization across other industries. Therefore, it is recommended that firms adopt a phased implementation strategy grounded in solid data governance and pilot projects, while fostering public-private partnerships to address the broader external challenges slowing digital transformation.

This study investigates whether Strategic Communication Competence (SCC) predicts Organizational Performance (OP) among employees of Mbeya City Council (MCC), a Tanzanian local government authority, and whether Financial Resource Management (FRM) independently predicts OP and moderates the SCC–OP relationship. Grounded in Communication Accommodation Theory and the Resource-Based View, a structured questionnaire was administered to 501 MCC employees, of whom 471 provided valid and fully completed responses, yielding a 94.0% response rate. The data were analyzed using Partial Least Squares Structural Equation Modelling. The findings indicate that SCC emerged as the strongest predictor of OP, while FRM also significantly and independently predicted OP (β = 0.243, p < .001). However, FRM did not significantly moderate the SCC–OP relationship, suggesting that, within Mbeya City Council, the two capabilities function as parallel and independently associated predictors of organizational performance rather than as interacting capabilities. Collectively, SCC and FRM explained 58.3% of the variance in OP, while the measurement model demonstrated sound reliability and validity. Given the cross-sectional and single-site design, these findings should be interpreted as evidence of significant associations and predictive relationships rather than causal effects. Based on these findings, recommendations are offered primarily for MCC and, more cautiously, for similarly structured Tanzanian local government authorities pending multi-site replication. In particular, MCC should prioritize strategic communication capability-building through feedback systems, information-sharing routines, and communication training, given SCC’s comparatively greater contribution to the explained variance in organizational performance. At the same time, financial resource governance should be maintained as an independently justified budgetary priority rather than being contingent upon communication outcomes.

This study examines the effects of disaggregated corporate social responsibility (CSR) practices on the economic wellbeing of host communities in Tanzania’s mining sector. Drawing on stakeholder theory, the study adopts a quantitative cross-sectional design using primary survey data collected from 393 respondents in three gold-mining regions - Geita, Mara, and Kagera, with 332 valid responses analysed using SmartPLS 4. The analysis focuses on the effects of economic, legal, ethical, and philanthropic CSR practices on community-level economic outcomes. The findings indicate that ethical, legal, and philanthropic CSR practices have positive and statistically significant effects on economic wellbeing, while economic CSR practices are not statistically significant. These findings suggest that while legal CSR practices contribute positively to economic wellbeing, their influence remains relatively modest, indicating that compliance-based interventions alone may not generate substantial household-level improvements. In contrast, responsible business conduct and community-oriented investments appear to exert a stronger and more direct influence on local development outcomes. The study contributes to the literature by providing empirical support for disaggregating CSR into distinct dimensions when assessing development outcomes in extractive industries and highlights the need to move beyond aggregate CSR measures toward more differentiated and context-sensitive analyses. From a policy and practice perspective, the findings underscore the importance of aligning CSR initiatives with community priorities and strengthening implementation frameworks to enhance their developmental impact in resource-dependent economies.

This paper searches the impact of trade credit on firms’ performance in 15 sub-Saharan African (SSA) countries. In particular, we also examine whether trade credit can advance in an environment of higher financial inclusion rate. We achieve this by using a fixed effect estimation model and solving endogeneity by GMM and IV-2SLS methods by utilizing firm level data from the Bloomberg terminal from 2010 to 2023. Baseline results summarize that firm performance grows with the level of trade credit finance. We find a firm’s industry and SSA blocs heterogeneity the trade credit-firm performance nexus. Additionally, financial inclusion alone is positive and when interacted with trade credit it becomes significant. The major implication among others is that trade credit facilitates more firm performance in a situation of higher financial inclusion level.

This study investigates whether Strategic Communication Competence (SCC) predicts Organizational Performance (OP) among employees of Mbeya City Council (MCC), a Tanzanian local government authority, and whether Financial Resource Management (FRM) independently predicts OP and moderates the SCC–OP relationship. Grounded in Communication Accommodation Theory and the Resource-Based View, a structured questionnaire was administered to 501 MCC employees, of whom 471 provided valid and fully completed responses, yielding a 94.0% response rate. The data were analyzed using Partial Least Squares Structural Equation Modelling. The findings indicate that SCC emerged as the strongest predictor of OP, while FRM also significantly and independently predicted OP (β = 0.243, p < .001). However, FRM did not significantly moderate the SCC–OP relationship, suggesting that, within Mbeya City Council, the two capabilities function as parallel and independently associated predictors of organizational performance rather than as interacting capabilities. Collectively, SCC and FRM explained 58.3% of the variance in OP, while the measurement model demonstrated sound reliability and validity. Given the cross-sectional and single-site design, these findings should be interpreted as evidence of significant associations and predictive relationships rather than causal effects. Based on these findings, recommendations are offered primarily for MCC and, more cautiously, for similarly structured Tanzanian local government authorities pending multi-site replication. In particular, MCC should prioritize strategic communication capability-building through feedback systems, information-sharing routines, and communication training, given SCC’s comparatively greater contribution to the explained variance in organizational performance. At the same time, financial resource governance should be maintained as an independently justified budgetary priority rather than being contingent upon communication outcomes.

This study examines the effects of disaggregated corporate social responsibility (CSR) practices on the economic wellbeing of host communities in Tanzania’s mining sector. Drawing on stakeholder theory, the study adopts a quantitative cross-sectional design using primary survey data collected from 393 respondents in three gold-mining regions - Geita, Mara, and Kagera, with 332 valid responses analysed using SmartPLS 4. The analysis focuses on the effects of economic, legal, ethical, and philanthropic CSR practices on community-level economic outcomes. The findings indicate that ethical, legal, and philanthropic CSR practices have positive and statistically significant effects on economic wellbeing, while economic CSR practices are not statistically significant. These findings suggest that while legal CSR practices contribute positively to economic wellbeing, their influence remains relatively modest, indicating that compliance-based interventions alone may not generate substantial household-level improvements. In contrast, responsible business conduct and community-oriented investments appear to exert a stronger and more direct influence on local development outcomes. The study contributes to the literature by providing empirical support for disaggregating CSR into distinct dimensions when assessing development outcomes in extractive industries and highlights the need to move beyond aggregate CSR measures toward more differentiated and context-sensitive analyses. From a policy and practice perspective, the findings underscore the importance of aligning CSR initiatives with community priorities and strengthening implementation frameworks to enhance their developmental impact in resource-dependent economies.

This paper searches the impact of trade credit on firms’ performance in 15 sub-Saharan African (SSA) countries. In particular, we also examine whether trade credit can advance in an environment of higher financial inclusion rate. We achieve this by using a fixed effect estimation model and solving endogeneity by GMM and IV-2SLS methods by utilizing firm level data from the Bloomberg terminal from 2010 to 2023. Baseline results summarize that firm performance grows with the level of trade credit finance. We find a firm’s industry and SSA blocs heterogeneity the trade credit-firm performance nexus. Additionally, financial inclusion alone is positive and when interacted with trade credit it becomes significant. The major implication among others is that trade credit facilitates more firm performance in a situation of higher financial inclusion level.

This paper uses primary data from a large-scale cross-sectional study to provide evidence on how the concept of development is defined, conceptualised, configured and operationalised so as to achieve the intended IDF project outcomes. Theoretical constructs and measures were developed drawing from both Activity theory and Distributed Leadership Theory to help understand the concept of development from the interactions of multiple actors at local, national, regional and even global within integrated transboundary landscapes and seascape. Findings indicate that in addition to development to be perceived by global actors as international development, local community define development from its contribution towards achievement of other multiple outcomes and bring scalable impacts to people, nature and economy. National government they define development from its contribution towards increased Growth Domestic Product (GDP) and Per Capital Income. Regional platforms defined development from its role it plays within transboundary landscapes and seascapes as development corridors. We use GDP as benchmarking for growth and the square multiple correlations to assess the integrated transboundary approaches as predictors of IDF outcomes. Following statistical analysis with support of structural equation model (SEM), the review of the square multiple correlations indicated that the predictors of IDF explain 9.8 percent of its variance. In other words, the error variance of IDF is approximately 90.2 percent of the variance of IDF itself. The study policy and practical implications of the measures on equality, equity, fairness, inclusivity, inequities, rights and responsibility and limitations for future studies are discussed. Practically, it confirms that, when integrated transboundary approaches are used as specified distributed practices or collective practices, they are significant for framing and increasing the descriptive, discursive and explanatory power of the concept of development when defining, conceptualising, configuring and operationalising IDF activities within integrated transboundary landscapes and seascape.

The research investigated the degree to which client appraisal relate to financial sustainability among Microfinance Institutions in Tanzania. Grounded on Resource Based View Theory, the study employed an explanatory research design whereby data was collected from a sample of 291 microfinance institutions from Dodoma, Iringa and Shinyanga regions. Semi-structured questionnaire in form of 5-point Likert scale was used to collect data which were analysed through inferential method. Research findings revealed that credit terms negatively influenced financial sustainability, whereas integration capabilities significantly and positively affected financial sustainability. Research findings further revealed that introduction of dynamic capabilities into the structural model improved the coefficient of determination (R²) value from 0.150 to 0.218, confirming their moderating role. Specifically, integration capability amplified the positive impact of internal control (IIC → SI, β = 0.157, p = 0.006), while sensing and learning did not significantly alter base relationships.  Moreover, the research findings indicated that R² of 0.218 (adjusted R² = 0.175) accounted for approximately 22 percent of the variance in financial sustainability, reflecting the combined influence of loan delinquency strategies and dynamic capabilities.  The study concludes that financial sustainability of MFIs in Tanzania depended not only on internal management practices, but also on external environmental conditions and institutional maturity, thereby necessitating multi-level policy interventions. The study recommends that MFIs in Tanzania adopt context-sensitive credit policies, such as granting of grace periods or seasonal repayment structures, especially for clients in agriculture and informal sectors. Also, strengthening learning systems including provision of staff training, knowledge sharing, and performance reflection could complement integration capabilities to boost long-term sustainability. Finally, MFIs should adopt adaptive management frameworks that combine governance, data analytics, and collaborative networks to manage delinquency dynamics.