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The purpose of this study is to establish whether dynamic capabilities mediates the association between social capital and sustainable growth of full-service restaurants in Kampala, Uganda.

This study is cross-sectional and correlational in nature. A self-administered questionnaire was used to gather data from 154 full-service restaurants in Kampala. Statistical Package for the Social Sciences (SPSS.25) and Medgraph – Excel Version were used to conduct correlation, hierarchical regression and mediation analysis on the data in order to establish the mediating role of dynamic capabilities.

Study findings revealed that first, social capital and dynamic capabilities significantly predict sustainable growth of full-service restaurants, second, social capital is significantly associated with dynamic capabilities and third, dynamic capabilities significantly mediate social capital and sustainable growth of full-service restaurants.

The study confirmed that dynamic capabilities significantly mediate social capital and sustainable growth of full-service restaurants unlike the previous studies that focused on the direct association between the study variables in explicating sustainable growth.

Strategic management research has shown growing interest in understanding the dynamic resource reconfiguration processes through which firms grow, evolve, and sustain profitability. The goal of our study is to understand how dynamic resource reconfigurations enable firms to pursue growth opportunities. We use the methods of inductive theory building from case studies to elaborate current theoretical understanding about how firms draw on both internal and external resources in the pursuit of growth. We examine the patterns of resource reconfigurations through which Yahoo and Google powered their early growth strategies in their first 10 years of existence. We analyze a total of 192 new product launches in 43 markets by the two firms to capture how they reconfigured resources dynamically. Our analysis reveals that both firms developed highly dynamic strategies exhibiting both surprising similarities and differences. These similarities and differences provided the basis for our theoretical insights about the development of what we term “dynamic resource platforms,” comprising of (a) dynamic resource shifts; (b) targeted resource orchestration; and (c) complementary processes balancing dynamism and capability development. These ideas contribute novel theoretical insights to current strategic management research on dynamic capabilities and on resource reconfiguration and redeployment.

Enterprise growth drives competitiveness, innovations, employment creation, income generation and social inclusion in societies. The purpose of this paper is to examine the mediating effect of networking on the relationship between dynamic capabilities and enterprise growth of financial cooperatives.

This is a cross-sectional survey and quantitative study of 269 financial cooperatives based on structural equation modelling and bootstrapping techniques analysis.

The results reveal that dynamic capabilities are vital in promoting the growth of financial cooperatives. In addition, networking partially enhances the contribution of dynamic capabilities to the growth of financial cooperatives. Therefore, dynamic capabilities and networking play a key role in promoting the growth of financial cooperative enterprises.

This was a cross-sectional survey. It did not trace the changes in behavioural and attitudinal aspects of enterprise growth over time. A longitudinal approach is recommended.

It is imperative that managers of financial cooperatives enhance their coordination, learning and competitive response capabilities through consultation, exchange and sharing of information among staff and other stakeholders, to increase the membership, capital and income volumes, depicting growth of financial cooperatives.

This study provides an insight on the mediating effect of networking on the enterprise growth of financial cooperatives in developing countries founded on networks theoretical framework. Unlike previous studies that modelled direct relationship of enterprise growth.

The purpose of this paper revisits the effect of entrepreneurship on economic growth.

Using a cross-country panel data set of 61 countries in the period 2002–2014, this paper empirically analyzes the differences in contribution to economic growth. Particularly, using an extension of the Cobb–Douglas production function, the authors show the role of entrepreneurship in developed and developing economies. Global entrepreneurship monitor data were used to estimate the proposed types of entrepreneurship.

Results indicate that economic growth can be explained by growth-oriented entrepreneurship, including developing economies. These results remain robust to a variety of specifications that include economic, social and cultural controls, and two ways of sorting countries by stage of development.

The authors split the total entrepreneurial activity (TEA) according to job expectations, in order to isolate the effect of entrepreneurial activity that is growth oriented (dynamic) and not (regular). Lastly, the empirical application presented comprises a more adequate timeframe to analyze the proposed relationship, determining possible differences for developed and developing economies.

El presente documento analiza el efecto de la actividad emprendedora sobre el crecimiento económico.

Mediante el uso de un panel de 61 países durante el periodo 2002–2014, se analizan las diferencias en contribución del emprendimiento hacia el crecimiento económico. Particularmente, con el uso de una función de producción extendida al estilo Cobb–Douglas, se muestra el rol del emprendimiento en países desarrollados y en vías de desarrollo. Por último, para la generación de las diversas medidas de emprendimiento propuestas se utilizó datos del Global Entrepreneurship Monitor (GEM).

La evidencia proporcionada indica que el crecimiento económico podría ser explicado por el emprendimiento orientado al crecimiento. Los resultados han permanecido robustos ante varias especificaciones que incluyen variables de control de corte económico, social y cultural, así como dos maneras de dividir la muestra de países según su etapa de desarrollo.

Los autores separan la TEA según expectativas de empleo futuro, aislando el efecto de la actividad emprendedora que está orientada hacia el alto crecimiento (dinámico) y la que no (regular). Finalmente, La aplicación empírica presentada comprende un periodo de estudio más adecuado para el análisis planteado, y a su vez permite encontrar diferencias para países desarrollados y en vías.

Dynamic capabilities approach, having roots in evolutionary economics, has recently become popular also among strategic management researchers. However, the dynamic capabilities construct has been criticised for being too confusing and abstract. The purpose of this paper is to tackle this criticism by first introducing a theoretical framework for concretising dynamic capabilities and then by testing the framework empirically.

The study utilises qualitative case study methods. The empirical part of the research introduces a single case study of Finnish manufacturing small to medium‐sized enterprise (SME). The longitudinal research data include two structured telephone interviews and two personal interviews with the case firm's managers. Also significant amount of secondary data were analysed during the study. Pre‐planned systematic coding methods were utilised during the data‐analysis phase of the study.

Concrete examples were provided of the dynamic capabilities identified from the international growth of the studied firm.

The research design led to a sample of only one case. Therefore, the findings have a strong intuitive and conceptual appeal and statistical generalizability is not appropriate.

The paper introduces an example of how SME can grow in international markets. Some good practices can be identified from the case study.

By introducing a new and operationalized classification for studying dynamic capabilities qualitatively, the paper makes methodological contributions. The paper also answers criticism addressed towards the dynamic capabilities construct by making dynamic capabilities more concrete.

The value‐premium is the empirical observation that “value” stocks (low market/book) have higher returns than “growth” stocks (high market/book). The purpose of this paper is to propose a new explanation for the value‐premium that the authors call the limits to growth hypothesis.

To guide the testing, a dynamic equity valuation model was used that has the property that profitability increases risk for value firms in anticipation of future growth‐leverage, whereas, profitability “covers” the capital expenditure costs of growth, which decreases risk for growth firms. Because the authors interpret dividends as a corporate response to growth‐limits, they test for this predicted differential relation between profitability and risk for value versus growth stocks with the returns of profitable dividend‐paying firms.

It is found that profitability increases returns to a greater extent for dividend‐paying value firms compared to dividend‐paying growth firms, which is consistent with a differential relation between profitability and risk. At the same time, it is also found that growth firms have lower returns than value firms.

The authors use the limits‐to‐growth hypothesis to explain why profitability can either increase or decrease risk. High‐profitability dividend‐paying growth firms have lower returns than low‐profitability dividend‐paying value firms. This value‐premium is consistent with the argument that high profitability “covers” the capital expenditure costs of growth, which decreases risk and, thus, returns. At the same time, profitability increases returns to a greater extent for value stocks compared to growth stocks, which is consistent with the hypothesis that profitability increases risk for value firms in anticipation of future growth‐leverage.

This study analyses the way various components of intellectual capital (IC), namely, human capital (HC), structural capital (SC), relational capital (RC) and innovation capital (INNC), act as mediators in the relationship between managerial ability (MA) and a firm’s ability to achieve growth.

This study employs data envelopment analysis to quantify the MA of 825 Taiwanese listed electronics companies from 2017 to 2022. The proxies of firm growth are return on asset growth, operating income growth and total asset growth. This study then utilises a three-step mediation analysis methodology to examine the relationships between MA, IC and firm growth.

Findings indicate that HC, SC, RC and INNC mediate the link between MA and firm growth. This suggests that competent managers can capitalise on the potential benefits of these investments to achieve firm growth.

Competent managers can utilise different IC investments to grow the financial performance and strength of their businesses. Managers should continually scan, secure opportunities and adjust their investments in knowledge assets in accordance with the dynamic capabilities view. That is, managers, in general, and operations managers, in particular, can implement guidelines that prioritise IC investments in the future to expedite firms’ development.

This study extends the existing frameworks that study investment variables as mediators between MA and firm outcomes. Most particularly, this study adopts four components of IC for measurement. Moreover, firm performance is measured using dynamic growth indicators rather than static measures.