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This paper aims to examine the causation linking financial technology to economic growth in the East African Community states from 1997 to 2019.

Autoregressive distributed lag is used. Gross domestic product per capita proxies economic growth, automated teller machines, point of sale, debit card ownership and mobile banking measure financial technology.

The results unveil a significant relationship between financial technology and economic growth. The findings show bidirectional causality between automated teller machine and economic growth, with unidirectional causation from economic growth to point of sales and internet banking, mobile banking and government effectiveness to economic growth. The error correction term is negatively significant, demonstrating a long-term convergence between Fintech measures and economic growth.

The governments should effectively enact and implement policies that protect investments in financial technologies to boost economic growth in the East African Community countries. The government should reduce taxes on financial technology equipment and related services. The use of automated teller machine, debit card ownership and internet banking should be encouraged through cashless transactions. Financial institutions should adopt cashless operation policies to encourage the use of financial technologies.

Research results on the bond between financial technology and economic growth are not conclusive. These studies demonstrate that technological innovations are double edged-swords, with both positive and negative sides. The results are conflicting; some reveal positive relationships, while others show negative links. Hence, research is required to fill the lacuna.

The purpose of this paper is to investigate how specialised capabilities including absorptive capacity and marketing capabilities influence innovation commercialisation in manufacturing and service firms in Nigeria. The authors hypothesise that absorptive capacity measures including openness and formal training for innovation, and marketing capabilities encompassing new product marketing and marketing innovation are positively associated with innovation performance.

The authors examine commercialisation of innovation within the profiting from innovation (PFI) and dynamic capabilities (DC) framework and use data from the 2012 Nigeria Innovation Survey to test the hypothesis by means of a Heckman sample selection model.

The authors find that absorptive capacity measures comprising openness and formal training are positively associated with innovation performance. The authors also find that marketing capabilities as indicated by new product marketing and marketing innovation are positively associated with innovation performance.

The authors acknowledge that firms undergo continuous changes and that there may be the presence of unobserved or unmeasured heterogeneity. Taking into cognisance that Nigeria is a federal state, cultural diversity and economic factors are likely to differ widely between geographical regions. Also, while the proposed conceptual framework offers a deeper understanding of innovation performance, examining how integrating activities of the R&D department, human resource department and marketing department affect innovation commercialisation is likely to provide more meaningful insights.

The role that inter-organisational learning and intra-organisational learning play in driving innovation performance provide managers with a basis for incorporating absorptive capacity building programs that boost employees’ ability to recognise and apply valuable external knowledge to commercial ends. Similarly, firms may benefit from offering marketing capabilities development programs. Furthermore, innovation policies in Nigeria are generally designed to focus on fostering innovation activities aimed at developing innovative output. Accordingly, government support explicitly targeting new product marketing and marketing innovation is likely to play a vital role in the successful commercialisation of innovation in Nigeria.

This study fuses the PFI and DC framework to examine why innovating firms may not necessarily succeed. This area of study has received scant attention in sub-Saharan Africa given that extant literature focusses on value creation as opposed to value capture.

The significant changes that supply chains (SCs) are undergoing and the emergence of disruptive technologies have led to a growing effort to integrate novel and mature technologies into existing SC strategies. Thus, this study investigates the relationships between mature information technologies (ITs), emerging IT and the lean supply chain (LSC) and agile supply chain (ASC) strategies.

An empirical study based on structural equation modeling of survey data from 256 Spanish focal companies has been conducted to test six hypotheses.

Drawing on resource orchestration, our results point to mature IT use being an enabler of both LSC and ASC strategy implementation. The results also show an LSC mediating effect on the relationship between mature IT and ASC when SCs follow both strategies. Also, the implementation of emerging IT requires a process of consolidation over time to be genuinely useful as a facilitating mechanism for developing both the lean and agile strategies along the SC. In this sense, a suitable mix needs to be orchestrated between emerging and mature IT.

This study sheds light on the relevance of the mature IT and emerging IT in the context of two SC strategies (lean/agile) and provides practical and theoretical implications.

This paper aims to examine the influence of family involvement in TMTs on product innovation efficiency and the contingent role of technological collaborations, combining insights from the resource-based view and the behavioral agency model.

This study empirically develops and tests the hypotheses using a longitudinal sample of 3,852 firm-year observations from Spanish manufacturing firms over the period 2006–2016.

The results reveal that family involvement in TMTs positively influences product innovation efficiency. The results also show that such positive effect is weakened as technological collaborations increase, and varies according to the partner type with whom the cooperation agreement is established. Specifically, the findings indicate that collaboration with suppliers appear to be the least detrimental for product innovation efficiency in family firms, followed by collaborations with customers and research organizations.

Family firms should consider appointing family members to their TMT to improve product innovation efficiency. Moreover, to enhance the effect of family management on product innovation efficiency, family managers should carefully select their technological partners.

This study is one of the first studies to theoretically explain and empirically demonstrate that family involvement in TMTs is a critical antecedent of product innovation efficiency and that technological collaborations moderate such link. Moreover, this study goes further in revealing that distinct types of partners have a differential moderating influence on the family involvement in TMTs-product innovation efficiency relationship. The results can be used to help managers and practitioners to boost innovation performance as well as to assist policymakers to design firm-level innovation policies to improve family firms' competitiveness.

The aim of this study is to investigate the relationship between heterogeneous collaborative networks and firm performance, using the resource-based view (RBV) and its extension through the knowledge-based view (KBV) as theoretical lens. Moreover, the authors examine family management and intellectual property rights (IPRs) as contingent factors that enhance the effectiveness of heterogeneous collaborative networks in achieving superior firm performance.

The hypotheses are developed and checked by using a panel data sample of 10,985 firm-year observations from 1,766 Spanish manufacturing firms over the period 2007–2016.

The results indicate that heterogeneous collaborative networks positively influence firm performance. Furthermore, the positive impact of these innovation networks on firm performance is reinforced by high levels of family management, and such effect is even stronger when there exists high levels of IPRs.

This research is the first, to our knowledge, to provide important new insights into the manner in which the effect of both family management and IPRs have the potential to amplify the performance gains attained from heterogenous collaborative networks.

The purpose of this study is to seek to re-examine the threshold effects of public debt on economic growth in Africa.

This study applies panel smooth transition regression approach advanced by González et al. (2017). The method allows for both heterogeneity as well as a smooth change of regression coefficients from one regime to another.

A debt threshold in the range of 62–66% is estimated for the whole sample. Low debt is found to be growth neutral but higher public debt is growth detrimental. For middle-income and resource-intensive countries, a debt threshold in the range of 58–63% is estimated. As part of robustness checks, a dynamic panel threshold model was also applied to deal with the endogeneity of debt, and a much higher debt threshold was estimated, at 74.3%. While low public debt is found to be either growth neutral or growth enhancing, high public debt is consistently detrimental to growth.

The findings of this study show that there is no single debt threshold applicable to all African countries, and confirm that the debt threshold level is sensitive to modeling choices. While further analysis is still needed to suggest a policy, the findings of this study show that high debt is detrimental to growth.

The novelty of this study is twofold. Contrary to previous studies on Africa, this study applies a different estimation technique which allows for heterogeneity and a smooth change of regression coefficients from one regime to another. Another novelty distinct from the previous studies is that, for robustness checks, this study divides the sample into low- and middle-income countries, and into resource- and nonresource intensive countries, as debt experience can differ among country groups. Further, as part of robustness checks, another estimation method is also applied in which the threshold variable (debt) is allowed to be endogenous.