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The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

This paper aims to examine the influence of individual and combined effects of the mode focused on scientific and technological-based innovation (STI) and the mode based on learning by doing, by using and by interacting (DUI) on firms’ innovation performance and whether information technology (IT) moderates the relation between different innovation modes and firms’ innovation performance.

A conceptual model linking innovation modes, IT (including IT infrastructure and the frequency of IT usage) and firms’ innovation performance was developed, and the proposed hypotheses were tested empirically using World Bank’s micro survey data collected from manufacturing firms in an emerging market (China).

The results show that individually both STI mode of innovation and DUI mode of innovation have a significant positive effect on firms’ innovative performance, whereas the combined STI and DUI mode of innovation has a negative impact. IT infrastructure moderates the relation between STI (or STI and DUI) mode of innovation and firms’ innovation performance, while the frequency of IT usage has no moderating effects on the relationship between any kind of innovation modes and firms’ innovation performance.

Although some results are quite different from what is expected, these are insightful for both academics and policymakers. The use of cross-sectional data has its limitations. Therefore, future studies based on longitudinal data should be conducted. This study points toward the need to conduct the meta-analysis to better explain the existing inconsistencies in the findings of relevant quantitative studies.

This study provides firm managers with practical implications. The conclusions of this study imply that the impact of the combined STI and DUI mode of innovation is likely to be contextual, so firms should make contingent decisions on whether to engage in STI mode of innovation and DUI mode of innovation simultaneously according to their own organizational conditions. Moreover, face-to-face contacts are particularly important when a firm engages in DUI mode of innovation. In addition, the focus of IT strategy of firms engaged in STI mode of innovation should be on perfecting their IT infrastructure rather than increasing the frequency of IT usage.

This paper provides new evidence for the relation between business innovation modes and firms’ innovation performance, and it is one of the few empirical studies that focus on emerging markets. More importantly, this paper proposes a persuasive explanation framework for understanding the heterogeneous impacts of the combined STI and DUI mode of innovation on firms’ innovation performance. This is the first study that examines the moderating effect of IT on the relationship between business innovation modes and a firm’s innovation performance.

The literature stresses the importance of collaboration patterns and the role of public funding in regional competitiveness. This study aims to contribute to a better understanding of this subject by focusing on two key dynamics of technological cooperation. First, the authors focus on the ability of public funding to support regional technological demand through the promotion of science and technology-based innovation (STI) and innovation based on learning-by-doing, learning-by-using, learning-by-interacting (DUI) cooperation. Second, the authors investigate whether such cooperation patterns influence the companies’ ability to support the development of novel products through the effective transfer of knowledge.

The data used in this longitudinal study are taken from the Basque statistics agency’s (EUSTAT) technological innovation survey, which compiles activities, personnel, funding sources, support institutions and other innovation-related aspects of businesses in the Basque region. The survey was carried out following the methodology of the community innovation survey (CIS). CIS data are used to generate official innovation statistics for the EU and its member countries and have been used extensively for analysis in economics. The sample included an unbalanced panel of 17,431 companies that reported research and development expenditure for the period 2013‐2017.

The results of the analysis confirm that the relationship between STI cooperation and regional funding is positive (Piñeiro-Antelo and Lois-González, 2019), but regional DUI cooperation will have a greater impact than STI cooperation on a company’s ability to generate novel products. The authors can, therefore, say that public funding is successful at supporting cooperation between science and technology agents and firms but fails to promote the transfer of knowledge and subsequent development of novel products in companies in the region.

Following a quadruple helix approach, it is important to underline the need for public policies to strengthen the connections between all the key agents in the ecosystem (where the research community, industry, public sector and citizens are all active actors), promoting technology transfer and dissemination, as well as trust among the parties, absorptive capacity and business access to resources and financing. Thus, the design of public policies should be oriented to support a firm’s innovation, balancing the exploration and exploitation of STI and DUI regional cooperation.

The contribution of this research is threefold. First, it serves to emphasize the importance of the impact of regional innovation systems on business innovation modes and their performance. Second, it takes the study of innovation systems and their impact on companies a step further by examining the impact of public funding on the companies’ ability to explore and exploit regional innovation modes. Thirdly, the authors offer a dynamic view of the region’s ability to support its own demand for technology and study the impact of regional business modes on the firms’ ability to support novel products.

This paper aims to analyse the influence of cooperation on the degree of novelty of technological innovations introduced by industrial firms in Argentina. This influence is analysed from three perspectives: cooperation by partner type [business partners or scientific and technological centres (S&T) partners]; cooperation by number of partner types, from no cooperation to cooperation with two partner types; and cooperation by goals pursued by firms.

The data come from one of the last national innovation surveys conducted in Argentina. The study controls for endogeneity, using instrumental variable procedures within the conditional mixed-process (CMP) framework.

The main result is the influence of cooperation with universities and S&T centres on the introduction of more novel innovations, which was found both in estimations with and without endogeneity correction. This influence was verified for more complex goals (R&D, technology transfer and industrial design and engineering) as well as for less complex ones (tests and trials, human resources training, quality management and certification). Business cooperation seems to impact only on a lower degree of novelty for more complex goals. The increase in the number of partners that the firm cooperates with, from no cooperation to joint cooperation with two partner types, influences more novel innovations.

Limitations and proposals for future research are discussed at the end of the study.

The results of this study contrast with the high propensity to cooperate with business partners shown by firms in Argentina and other Latin American countries. Therefore, this paper may help formulate more effective policies to promote cooperation conducive to firm innovation performance. Limitations and proposals for future research are discussed at the end of the study.

Although there is empirical evidence on this topic for developed countries, firm-level studies on cooperation and degree of novelty are scarce for Latin America. In addition, this paper analyses cooperation not only by type of partner but also by type of goal. This study attempted to control for endogeneity by using instrumental variables within the CMP framework.

This study delves in the controversy about the nature and the sign of the effect of strategic alliances and exploration and exploitation capabilities on innovation and new product development. The paper analyses the effects of knowledge sharing and strategic alliances relationships at the firm level. Specifically, we study the influence of strategic alliances relationships in new product development and the mediating role of exploration and exploitation as dynamic capabilities.

This investigation proposes a theoretical model tested using structural equation modeling (SEM). The multigroup analysis was performed to understand the moderating role of. A questionnaire survey was developed to explore the relations between strategic alliances and innovation and new product development variables. For this study, 387 valid questionnaires were collected from a sample of Portugal SME' firms. A 90-item questionnaire was submitted to employees managers of a large number of Portuguese SMEs, which consists to study the relationships among all the variables.

The results show that exists a positive direct influence of strategic alliances on innovation and new product development, and mediating impact the exploration and exploitation by the moderating role of knowledge sharing.

This study has some methodological limitations affecting its potential contributions. A cross-sectional study that captures one image in time and its ability to identify strict causality between variables is limited. Furthermore, the results are based on log collected from a key respondent, rather than broader actual data. The results are restricted to one country, Portugal. Future research should initially target different countries. Such research could then test the generalizability of the results.

To fill this managerial relevance gap, we propose a process model in which the main antecedents of alliance stability will be examined. We argue that an alliance's evolutionary dynamics depend on these factors and variables that the partners must assess and manage over its developmental stages. In this sense, managers have significant scope to influence the ultimate success of strategic alliances. This study highlights the need to actively manage the cooperation – competition (coopetition) tension with the alliance partner and to apply the knowledge acquired from the partner to create new knowledge to enhance innovative performance

This paper contributes to fill the gap between strategic alliances and new product development mediated by exploration and exploitation in the dynamic capabilities view.

In this chapter, the authors study how external knowledge contributes to the innovation results of firms in transition economies. Specifically, the authors distinguish between product and process innovations and identify the geographical origin of external knowledge – from the home country or from abroad. Theoretically, the authors discuss the innovation systems of transition economies and the effects of foreign and national external knowledge on product and process innovations in these under-researched contexts. Using a sample of firms from 19 countries from wave V of the Business Environment and Enterprise Surveys, the authors find that foreign and national external knowledge both contribute to the achievement of product and process innovations. However, the two types of external knowledge exert different effects depending on the innovation outcome analyzed. Firms in transition countries that incorporate foreign external knowledge are more likely to achieve product innovations than those that acquire national external knowledge. In contrast, both types of knowledge are equally useful for achieving process innovations.

The purpose of this study is to assess the interaction effect of government non-financial support and firms' regulatory compliance on firms' innovativeness. Firms' regulatory compliance with environmental and safety issues has been suggested as one of the reasons why firms innovate. Such compliance provides legitimacy, improves reputation and corporate image, and enhances customer loyalty and competitive advantages, which influence firm innovativeness. However, regulatory compliance is costly and with limited resources, the role of government support is crucial as a moderator, to help firms become more compliant and influence their innovativeness.

The study uses data from the World Bank Enterprise Innovation Survey for seven countries in Sub-Saharan Africa.

Regulatory compliance has a positive and significant effect on firm innovativeness. Increased use of government non-financial support enhances the level of firm regulatory compliance and the effect of regulatory compliance on firm innovativeness.

The study contributes to the literature on compliance and firm innovativeness in Africa by showing how the positive effect of regulatory compliance on firm innovativeness is stronger when firms benefit from government non-financial support.

This paper aims to develop an artificial intelligence (AI) audit tool for auditing text-based evidence and determine its efficiency and effectiveness.

A manual audit checklist and an AI audit tool are developed with fuzzy front-end (FFE) from Innovation Management System Standard (IMSS) as the audit scope, First, a manual audit of five organisations is conducted to determine their compliance scores. The transcripts of the audit are recorded which are used by the AI audit tool to assign compliance scores for the same organisations. The effectiveness and efficiency of the AI audit tool are determined by comparing their results with the manual audit.

This paper demonstrates the development of the FFE AI audit tool which led to 92% improved efficiency while being 95% effective compared to a human auditor.

The publication of new financial and non-financial standards (such as ISO56002: IMSS) have implications for internal auditing (IA). The scope of IA must expand to include new standards while remaining efficient. Emerging technologies, such as AI help achieve this. Even though the use of AI in financial auditing is widely studied, it has not received similar attention in non-financial auditing. This paper develops a non-financial AI audit tool to audit an essential component of the IMSS, the FFE of innovation and determine its efficiency and effectiveness.

The study develops an FFE AI audit tool for the first time. The methodology used has practical and academic implications for the use of AI in non-financial auditing.

The purpose of this paper is to examine the strategic response to Industry 4.0 for Chinese automotive industry and to identify the critical factors for its successful implementation.

A technological, organizational, and environmental framework is used to build the structural models, and statistical tools are used to validate the model. The data analysis helps to determine which factors have impact on the strategic response and whether their relationships are positive or negative. Interpretive structural modeling method is applied to further analyze these derived factors for depicting the relationship.

The result shows that company size and nature do not increase the use of advanced production technologies, while other factors have positive impacts on improving the technology adoption among the companies surveyed.

A strategic response to Industry 4.0 not only helps in improving organizational competitiveness, but it also has social and economic implications. For this purpose, empirical data are collected to measure the understanding of Industry 4.0 in the Chinese automotive industry.

Despite the fact that the Chinese Government has proposed the “Made in China 2025” approach as a way to promote smart manufacturing, little empirical evidence exists in the literature validating company’s perspective toward Industry 4.0. This paper is to fill the research gap.

This paper aims to introduce and demonstrate a new model for service quality that separates out the measurement of service quality in ways grounded in psychological theory and methodological symmetry.

A review of experience in service quality management suggests that new approaches are needed. By seeking a way of managing service at different levels, with symmetry between data collection and data analysis, a model is presented that has more potential applicability and flexibility than is found in traditional models.

A national study in Namibia, Africa provided data that successfully demonstrate the method of working and illustrate the contextual, analytical and data management issues and the reporting potential out of complex service management data.

This new approach to the design of service quality measurement and assessment extends the capability that is generally found in other existing approaches. It provides a new foundation for further research into complex patterns of service success and that will establish more clearly the inter-dependencies between service encounters, service attributes and service measures at the survey item level.

Studies of multiple service sectors and multiple service recipient groups can now gather and manage large complex data sets and analyse and report that data in ways appropriate to the needs of different stakeholders.

In any context where service quality is a socio-economic or development issue, it is now possible to take a more careful and nuanced approach to the collection and aggregation of data, which will inform policy makers and other stakeholder groups at the national or regional level.

This new model addresses a range of problems that have been reported with historical approaches such as SERVQUAL and related methods of working. It also provides foundations for new designs for large-scale service management data collection, organisation and analysis.