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Existing innovation frameworks suggest that manufacturing firms have traditionally developed a complementary model of technological innovations comprising process and product innovations (e.g. Oslo Manual). This article presents digital service innovation as a novel form of technological innovation that is capable of enhancing the performance of firms in certain manufacturing industries.

Drawing on technological innovation and digital servitization fields of research, this study argues that digital service innovation, in manufacturing contexts, complements traditional sources of technological innovation, so increasing the profit margins of firms. This effect is significant in industries characterized by business-to-business contexts, high presence of link channels and long product life spans (e.g. manufacturing and computer-based industries). Predictions are tested on a unique sample of 423 Spanish manufacturing firms using parametric (t-test) and nonparametric (fuzzy-set qualitative comparative analysis, fsQCA) approaches.

The results of this analysis show that a necessary condition so that manufacturing firms can increase profits is the deployment of simultaneous process and product innovations. It also reveals that optimal configuration requires that digital service innovation be undertaken, particularly in machinery and computer-based manufacturing industries. Hence, all three sources of technological innovation are brought together in order to reach the highest levels of company performance. The evidence suggests that technological innovation and digital servitization are closely interrelated in highly innovative manufacturing contexts.

This study's originality and value reside in the fact that it reveals the existence of firms incorporating digital service innovation – a new, technological innovation dimension that challenges existing innovation frameworks – to complement traditional technological innovation sources, namely process and product innovation. Moreover, the study conceptualizes and empirically tests the value-adding role of digital services in firms' technological innovation portfolio.

The implementation of Smart Manufacturing (SM) is deemed a key enabler in the enhancement of manufacturing competitiveness and performance. Nevertheless, SM's repercussion on consumer perceptions and the contextualization of SM's performance-enhancement effects remain undetermined and have yet to be clarified. This study analyzes the effect of SM on operational and customer performance. Moreover, this study explores how these relationships change depending on a firm's geography of production (i.e. national/local vs transnational operations) and the relational arrangement adopted (i.e. service-oriented vs transaction-oriented manufacturers).

This research surveys 351 Spanish manufacturing firms operating in an SM environment. The theoretical framework comprises a Multiple-Indicators Multiple-Causes (MIMIC) model and is tested using a Generalized Structural Equations Model.

The results obtained substantiate the positive effect of SM implementation on both of the performance measures analyzed (i.e. operational and customer focused). Moreover, the study reveals that while geography of production moderates the effect on a firm's operational performance, relational arrangement also does so in terms of customer performance.

This research clearly differentiates the benefits of SM depending on business context. In this regard, transnational production firms tend to gain in operational performance while service-oriented manufacturers gain in customer performance.

Global value chains (GVC) incorporate internationally fragmented sources of knowledge so as to increase global competitiveness and performance. This paper sheds light on the role of Industry 4.0 technological capabilities in facilitating knowledge access from international linkages and improving firm productivity.

Drawing on organizational learning research, the present study argues that the relationship between GVC breadth, analyzed in respect to the geographical fragmentation of production facilities and productivity follows an inverted U-shaped pattern that can be explained by the interplay between external knowledge access and the coordination costs associated with GVC breadth. We test our predictions using a purpose-built survey that was carried out among a sample of 426 Spanish manufacturing firms.

Our results indicate that organizations adhering to a traditional manufacturing system are able to benefit from fewer transnational relationships (concretely 11 foreign facilities) in the search for productivity improvements. This can be largely attributed to the marginal value of the knowledge accessed and the costs of coordinating international counterparts' production and knowledge transfer. However, our study reveals that the adoption of Industry 4.0 technologies has the potential to broaden optimal GVC breadth, in terms of the number of linkages to interrelate with (concretely 131 foreign facilities) so as to obtain productivity gains while mitigating the complexities associated with coordination.

The study unveils that Industry 4.0 technologies enable management of broader GVC breadth, facilitating knowledge access and counteracting coordination costs from international counterparts.

This study aims to investigate the importance of relational and conditional knowledge by assessing how service and signaling competences affect manufacturing firms’ productivity. These relationships are explored in the context of Africa, where, paradoxically, firms selling abroad must satisfy different market demands than firms that serve only domestic markets.

The authors draw on the World Bank Enterprise Survey to perform a cross-sectional analysis of 4,683 manufacturing firms. These surveys cover the period 2009-2017 and 35 different African countries. The authors define service competence development as co-location with knowledge-intensive business service (KIBS) firms, measured through KIBS density at city level. Signaling is measured through outward-looking competences.

This paper shows that African exporters differ significantly from their non-exporting counterparts in terms of productivity and competences. External service competence generates productivity gains for exporters but has the opposite effect for non-exporters. Results consistent with previous research also show that signaling competences generate productivity gains, but the effect for firms serving domestic markets is stronger than the effect for exporting firms. The authors use paradoxes of learning to interpret these results.

This study detects nuances of the African context that increase the understanding of knowledge management in emerging markets. The findings would benefit from confirmation in a longitudinal and causal setting.

African exporting firms should establish mechanisms to develop joint knowledge with external partners (know-with) to enhance their competitiveness, whereas African non-exporters should prioritize building knowledge credibility.

The study develops a novel empirical approach to analyzing firm competences in Africa. It also shows that contextualization of existing knowledge management theories matters, opening a research avenue to test further existing theories in emerging economies.

This paper aims to deepen the understanding of the interconnection between hybrid product–service offerings and firms' internationalization strategies, focusing on market entry, export performance and subsidiary strategy development.

The approach involves reviewing and summarizing the existing body of research in the area. This is complemented by the analysis of the 10 published papers in the current issue.

The authors proposed a value-chain synergetic approach that ensures the international competitiveness of hybrid offerings. The authors’ conceptual framework encompasses four themes: (i) internal factors encompassing capabilities and governance, (ii) supply-side factors related to ecosystem formation, (iii) demand-side factors encompassing customization and co-creation and (iv) enhancing factors such as assets digitization. The authors’ analysis demonstrates how these synergistic value chain themes interrelate to empower hybrid offerings in the export market.

While the conceptual development presented in this paper is not exhaustive, the model highlights important research avenues in the internationalization of product–service hybrid offerings that need exploration.

The proposed framework hold practical implications for firms aiming to enhance their competitiveness in the export market through the integration of hybrid product–service offerings.

The authors’ framework bridges the gap in international marketing literature by focusing on the interplay between hybrid product–service offerings and internationalization strategies, providing valuable insights into the factors driving servitization-led innovations in foreign markets.

This article seeks to characterize and assess a new type of resilient, socially conscious and competitive enterprise that simultaneously encompasses open and social innovation – aligning both business and social outcomes – and which will gain increasing importance in post-pandemic competitiveness.

A mixed method approach based on sequential deductive triangulation analysis (QUAN/qual) is used. First, data gathered from the Chilean innovation survey is used to quantify the percentage of firms implementing open and social innovation simultaneously, and to assess their relative performance in relation to other types of innovative firms. Second, a qualitative multiple-case study analysis reveals the perceptions of senior managers regarding the applicability of this approach in terms of building resilience and strengthening future competitiveness in line with sustainable development goals.

Social innovation is a relatively rare event (7.2% of firms in the sample). While social innovation occurs equally in monopolistic and perfectly competitive industries, the authors’ findings suggest that in order to adopt social and open innovation effectively, firms need to set entry barriers such as economies of scale. On the other hand, open innovation is a more common event (15.4% of firms in the sample), which correlates closely with absolute and relative performance indicators. Moreover, the results suggest that open innovation enables a greater understanding of societal needs, thus making social innovation more effective.

Theoretical developments coupled with descriptive and qualitative evidence reveal the innovative capabilities that up-and-coming enterprises may possess. The findings suggest that at times of far-reaching technological, social and political change, enterprises should share some of their knowledge and resources with wider society. Only then will more equal, resilient and cohesive societies be built.

This article combines two seemingly unrelated literature streams (open and social innovation) in order to elucidate the enterprise of tomorrow, which will be capable of achieving sustainable development whilst reaching high levels of competitiveness.

The purpose of this paper is to distinguish clearly between industry (ILC) and product lifecycle (PLC) models and to elucidate their different ramifications for organizational learning and knowledge.

The authors examine existing knowledge on ILCs and PLCs to highlight the differences and similarities and develop a framework with implications for learning and innovation in digital manufacturing industries.

The authors identify and associate one dominant type of learning with each phase of the ILC: learning-by-participating in the introduction phase, learning-by-feedback in the growth phase, vicarious learning in the maturity phase and learning-by-memory in the decline phase. The study also provides insight into how different types of learning influence PLC in digital innovation. From this perspective, learning-by-feedback is crucial to co-creation, co-production and open innovation. Similarly, learning-by-doing and learning-by-memory are essential to production and usage stages, respectively.

The conceptual development in this paper follows a somewhat critical but ultimately elucidative analysis that highlights important research avenues in the interplay of PLC/ILC, organizational learning and digital innovation.

This paper clarifies a perennial theoretical problem by differentiating two concepts often conflated in the literature. More importantly, it contributes to the knowledge management literature by shedding light on the connection of ILC and PLC theories to different types of organizational learning.

Whilst substantial evidence from low-corruption, developed market environments supports the view that more productive firms are more likely to export, there has been little research into analysing the link between productivity and exports in high corruption, developing market environments. The purpose of this paper is twofold. First, to test the premise of self-selection theory whether the association between productivity and export is maintained in high-corruption environments, and second to identify other variables explaining export activity in high-corruption contexts, including cluster networks and firms’ competences.

The authors draw on the World Bank Enterprise survey to undertake a cross-section analysis including 1,233 small- and medium-sized enterprises (SMEs) located in nine African countries. The advantage of this database is that it contains information about the level of perceived corruption at firm level. Logistic regressions are performed for the full sample and for subsamples of firms in high- and low-corruption environments.

The findings demonstrate that the self-selection theory only applies to low-corruption environments, whereas in high-corruption environments, alternative factors such as cluster networks and outward-looking competences (OLC) exert a stronger influence on the exporting activity of African SMEs.

This research contributes to the theory as it provides evidence that contradicts the validity of self-selection theory in high-corruption environments. The findings would benefit from further longitudinal investigation.

African SMEs need to consider cluster networks and OLC as important strategic factors that might enhance their international competitiveness.

The criticism of the self-selection theory is distinctive in the literature and has important implications for future research. The authors show that the contextualisation of existing theories matters and this opens a research avenue for further more sensitive contextualisation of existing theories in developing economies.