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This paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.

The study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.

The main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.

This study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.

The purpose of this paper is to investigate how both technological and non-technological innovations influence export intensity in small and medium-sized enterprises (SMEs). In addition, the authors report results for each firm-size category of micro-, small and medium firms, and thus reflect SME heterogeneity.

The research methodology is based on the analysis of the Eurobarometer 2014 data set from 28 EU Member States, Switzerland and the USA covering the period 2011–2014. To statistically test the three defined research hypotheses on individual and joint effects of both types of innovation, a multiple treatment model was estimated. The advantage of this empirical strategy is that it takes into account the endogeneity of both technological and non-technological innovations. Moreover, the authors employ the production approach or the direct test of complementarity between technological and non-technological innovations.

Empirical findings indicate that technological innovations positively affect export intensity in small and medium firms, whereas non-technological innovations exert no influence on export intensity, regardless of the firm size. Moreover, the results from the direct test suggest no evidence of the complementary effects of technological and non-technological innovation on export intensity.

The authors infer that SMEs would benefit more from public support targeting both exports and innovations than micro-firms, as the sunk costs of exports are too high for the latter. However, public support aimed at reducing fixed costs of exports could be particularly beneficial for micro-firms.

The research fills a literature gap on the joint impact of technological and non-technological innovations on export intensity while taking into account the endogeneity of innovation activities and SME heterogeneity.

This paper aims to explore management control in the strategic development of business model and managerial innovations. The issue is approached from the perspective of managerial work, aiming to outline what managers consider as essential elements of management control in these often iterative and learning-intensive developmental activities.

The study is based on the views of 20 managers engaged in strategic development and its control in various organisations. The interview data consist of the respondents’ experiences and project cases involving non-technological innovations. Qualitative content analysis is used to identify three key concepts of management control of business model and managerial innovations.

The findings suggest that with managerial and business model innovation, appropriate management control could be established by aligning the innovation being developed with the strategic story of the organisation, leveraging co-creational projects and experimentation with close customer contact.

The focus of this qualitative research is on building an initial framework. Future research could expand understanding of managerial work and accounting by examining this study’s outcomes in more practical detail in various contexts.

The findings of this study lead managers and researchers to consider management control of non-technological innovations as an enabling system supporting successful innovations.

This study adds a unique perspective to the literature by conceptualising and offering managerial implications for management control in the context of strategic development of non-technological innovations.

This paper aims to analyse the relationships between management innovation, marketing innovation, technological innovation and the personnel involved in science, technology and innovation activities.

The work used data from the Technological Development and Innovation Survey – Colombian Industry VII 2013–2014. Six logistic regression models are tested for the analysis with 2,045 manufacturing firms.

The results suggest that the probability to pursue technological innovation diminishes in those firms that introduce management and/or marketing innovations. The same happens in firms seeking non-technological innovations with the introduction of product and process innovations. The human side, administrative and technical staff, working on innovation projects plays a key role in the success of different types of innovations.

At this time, there is a need for research studies with new approaches that look at innovation beyond the technological domain and focus on the human side of innovation and other important aspects such as the managerial contribution to innovation. Theoretically, the work contributes to expanding the scarce literature on the proposed relationship and, as far as is known, it is the only one with empirical data for an emerging economy such as the Colombian one. Empirically, useful information is provided for the design of strategies that seek to improve firms' innovation performance.

This paper aims to provide evidence of the major role of non‐technological activities in the innovation process. It seeks to highlight the effects of marketing and organizational innovation strategies on technological innovation performance.

The paper tests theoretical hypotheses on a sample of 555 firms of the Fourth Community Innovation Survey (CIS 4) in 2006 in Luxembourg. Data are analyzed through a generalized Tobit model.

Evidence is found to support the impact of innovation in the marketing and organization fields on a firm's capacity to innovate, but not on the innovative performance. The paper also statistically shows that the effects of non‐technological innovation differ depending on the phase of the innovation process.

The causal link and the question of time frame between the various innovations could be further investigated, especially through longitudinal studies. Further research should also focus on the differences between large versus small firms, and service versus industrial firms.

The effects of non‐technological innovation are not the same according to whether the firm is in the first step of the innovation process (i.e. being innovative), or in a later step (i.e. innovative performance). Managers should be aware of these various effects in order to efficiently adopt non‐technological innovation strategies.

Few works have taken into account the role of other innovative strategies such as marketing and organization. As far as is known, this is the first study based on recent CIS data that looks at the interrelations between different types of innovation.

This article attempts to explain performance through the development of innovations within small and medium enterprises (SMEs). Specifically, the authors analyse the determinants of innovation and assess the role of technological and non-technological innovations in performance.

Based on a sample of 508 Cameroonian SMEs, the PSM (propensity score matching) technique was used to reduce the selection bias inherent in this type of analysis.

The results show that technological innovation does not influence significantly the performance of SMEs, whereas non-technological innovation positively influences it. The combination of these two types of innovation leads to better performance than even accentuated development of only one type.

To improve the performance of SMEs, it is necessary to adopt a comprehensive innovation policy that combines non-technological and technological innovations. In addition, it is important to intensify informations and communication technologies (ICT) promotion policies that contribute to the adoption of innovations within enterprises.

This paper contributes to the literature by showing the role of technological and non-technological innovations in explaining the performance of SMEs. Moreover, unlike the existing work in sub-Saharan Africa, which is limited to testing the innovation–performance relationship, this study also determines the productivity gain generated by innovative firms compared to non-innovative ones.

The authors analyzed the effects of importing activities on both technological and non-technological innovation in Chile. They contribute to the literature by hypothesizing and testing the idea that importing activities can foster the introduction of product, process, marketing and organizational innovations in emerging market firms.

The authors used a combination of two economic surveys that included 1,347 Chilean companies. To test their hypotheses, they applied a variant of the Crépon-Duguet-Mairesse (CDM) model (Crépon et al., 1998) accounting for technological and non-technological innovation outputs. Specifically, four alternative innovation output indicators were used to measure the introduction of product, process, marketing and organizational innovations.

The results revealed that importing activities had positive effects on technological and non-technological innovation. Importers showed a significant advantage in the introduction of product, marketing and organizational innovations. Firms that both import and export (i.e. two-way traders) had an even greater advantage in the introduction of new or significantly improved products.

The authors demonstrated a relationship between importing activities and both technological and non-technological innovation that is novel and relevant, particularly at a historical moment when COVID-19 poses huge economic challenges to emerging market firms. As trade disruptions caused by the pandemic have predisposed some governments to favor protectionist policies, the authors warn that erecting barriers against imports can hamper the innovative success of local businesses.

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional, cognitive and organizational) to shed light on the determinants of business cooperation with other organizations. It is also examined whetherthis cooperation is a determining factor for business innovation (innovation networks), drawing a distinction between technological and non-technological innovations.

The study has a quantitative approach; it analyzes the case of 312 companies in a cluster of agribusinesses in an emerging economy (Chile). The proposal model and its interrelations are tested with exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

The results show that cognitive-organizational proximity is a positive determinant of business cooperation with other organizations, whereas social and institutional proximity are negative determinants. It is also established that business cooperation is a positive determinant of business innovation. It is more relevant in the case of technological innovation unlike non-technological innovations. In addition, it is noted that business cooperation levels are lower in micro-enterprises, a result that differs from developed countries.

For business managers, it is best to cooperate with companies that are similar in terms of cognitive and organizational levels for innovation. At the same time, it is necessary develop strategies to reduce the social and institutional barriers to cooperation, especially in the agribusiness sector.

The contributions of the study are as follows: an in-depth quantitative examination of the relationships of various non-spatial proximities as determinants of business cooperation; an analysis of whether business cooperation with other organizations is a determining factor for business innovation, distinguishing between technological and non-technological innovation; and testing these relationships in the context of agribusiness in an emerging economy such as Chile’s because most of studies are related to high-tech sector and developed economies.

This study aims to integrate both internal and external factors to examine the effect of innovation and perceived trade barriers on firms’ export activity. In particular, the authors expand the scope of innovation into both technological (product and process) and non-technological (marketing and management) innovation. Furthermore, the authors examine the potential joint effect of perceived customs and trade barriers on firms.

The authors empirically test the hypotheses by using firm-level data from the World Bank Enterprise Survey during the most recent year available for each ASEAN country, together with both firm- and country-level controls from various data sources. Specifically, the final sample for analysis includes 3,602 firms from Cambodia (100), Indonesia (1157), Laos (99), Malaysia (445), the Philippines (719), Thailand (572) and Vietnam (510).

First, the results show that firm-specific innovation capabilities (including non-technological of managerial innovation) do matter for explaining export propensity. Furthermore, in contexts in which location-bound advantages are prevalent, the effects of innovation may disappear and further deteriorate performance in the post-entry stage. Second, the findings support the notion regarding the prevalence of country- over firm-specific advantages for the international expansion of companies from ASEAN countries. More specifically, this study holds that innovation does not matter for export intensity and that factors related to the location’s institutions appear to be more important.

First, it acknowledges and examines the effect of not only technological innovation, but also non-technological innovation on export intention. Second, the paper measures the institutional effect at the firm level, rather than as a country-specific factor, to better understand the combined effect of internal and external variables on firms’ export strategy. Furthermore, it performs a cross-country analysis while controlling for other confounding firm and macro factors. Third, the authors test the model on both pre-entry (export propensity) and post-entry (export intensity) stages. Finally, the study responds to calls for research that examines the international competitive advantages of firms from ASEAN countries.

The purpose of this paper is to analyze the innovation process of organizations representing the main sectors of Brazilian economic activity.

The literature review focuses on analyzing the innovation process characteristics regarding the innovation types. The authors carried out interviews with executives and managers in charge of innovation at the leading large companies in the respective sectors analyzed. The data analysis of this qualitative research was structured in three steps. The first step is the analysis of data collected for encoding, the second step, the summarization of the common points presented by the companies in each sector and, finally, the interpretation of these data, aided by triangulation from secondary data that support the analysis of the collected primary data.

The main contribution of this study is to characterize the innovation process of organizations representing the main sectors of the Brazilian economy, with a classification regarding the sectoral innovation standard.

The authors’ intent is that the paper can contribute with a comparative analysis among companies of the same sector and, subsequently, among companies of the different surveyed sectors. Thus, the characterization aims to present the companies’ innovation process and the comparative analysis aims to verify the innovation sectoral patterns. In addition, as implications for management practice, some strategies for better knowledge management in the organization are suggested for each type of innovation.

The main theoretical contribution focuses on the development of a conceptual model that structures the analyzed variables of the constructs “innovation process” and “innovation sectoral patterns”, allowing not only the characterization but also the comparative analysis of the representative organizations present in the sample.