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Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).

The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.

The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.

The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.

The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.

Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.

The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.

The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.

The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.

Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

Entrepreneurship across sectors has been impacted by the paradigm of open innovation in the last few decades. Although Open Innovation is argued to impact firm performance the strategic building blocks of open innovation are not discussed in the prior literature. This study aims to conceptualize open innovation and identify the antecedents and outcomes of open innovation.

Using a qualitative study based on open-ended essays solicited from 47 SMEs and startups based out in Europe and the USA, the authors propose an overarching conceptual framework using a theoretical sampling approach adopted to establish data saturation and data analysis was carried out using thematic coding. Market place evidence was used for triangulation of the authors’ research framework and to establish the validity of the constructs.

Building on the entrepreneurial bricolage theory, this study proposes bricolage and Platformization of innovations as antecedents to open innovation. The study also conceptualizes open innovation by identifying three underlying dimensions for open innovation. Next, the study proposes a positive association between open innovation and firm performance. Finally, the authors discuss relevant implications with future research directions of the study.

The practical implication is the development of a sustained competitive advantage enhancing framework for entrepreneurial ventures with the help of open innovation.

With the application of the developed framework for the entrepreneurial ventures, a set of strategic activities related to open innovation can be proposed that would help these ventures to enhance their innovation and marketing capabilities, thereby helping them with a sustained competitive advantage. The present study would also help the policymakers to frame policies that help the firms with a shift toward open innovation.

The authors investigate conditions that drive innovation performance in foreign-owned subsidiaries. The authors study five variables affecting innovation performance: organizational agility and digital capabilities as the main drivers and competencies and embeddedness in internal and external networks as complementary antecedents of innovation.

The authors draw on the neo-configurational perspective and apply fuzzy set qualitative comparative analysis (fsQCA) to empirically test survey data from subsidiaries located in the emerging economies of Thailand and Vietnam.

While the authors find no single condition on its own determining innovation performance, the authors do find that in concert they form four configurations of high innovation performance. The results indicate that all configurations contain competencies, as well as that subsidiaries should prioritize between internal and external networks to complement agility, digital capabilities, to achieve high innovation performance. The authors also reveal intriguing contextual differences in the innovation performance configurations between the two host countries.

By incorporating causal complexity as well as substitutability and complementarity of innovation drivers, the authors extend the current understanding of subsidiary innovation performance outcomes.

The main purpose of this review is to enhance the understanding of intellectual structure and outlook of management innovation research as an interesting and growing research field.

This systematic literature review examines the question, what is the relationship of management innovation with the performance of companies and with other types of innovation? The work also pursues to summarize theories, contexts, characteristics of the papers and methodologies with the purpose of facilitating further development and opportunities and priorities for future research.

The results suggest that management innovation is an interesting and growing research field; in its relation to different types of innovation and performance, it is a field explored with theoretical approaches, contexts and methodologies that begin to form a consolidated body of knowledge. However, through a critical analysis, this review highlights the gaps in the literature and provides suggestions for future studies to further explore the field. This revision contributes to the literature on management innovation summarizing the findings and contributions of research published in the field and its relationships with innovation and performance. It then identifies three comprehensive research streams, namely, future research on conceptualization, definitions and measurements; research on the level of analysis; and future research on management innovation drivers, antecedents and use as mediator/moderator variables.

Management innovation is an emerging research field that is characterized as a branch of research long ignored by more orthodox lines dedicated to technological innovation and topics in product and service development research.

Engaging suppliers in joint innovation can be an effective means for buyer firms to overcome internal resource/capability limitations. The purpose of this research is to investigate the impacts of cultural and trust congruences between the supplier and buyer firms on joint innovation. In addition, we examine the relationship commitment as an antecedent of cultural and trust congruences.

The study constructs a theoretical model based on social exchange theory (SET) and examines it using data from Chinese manufacturing firms.

The results suggest that cultural and trust congruences between suppliers and buyers positively influence joint processes and product innovations. Furthermore, we find that while normative relationship commitments of supplier firms promote cultural and trust congruences with buyers, instrumental relationship commitments only positively affect trust congruence.

This study enhances our understanding of social exchanges by adopting a dyadic view to examine the interconnectedness between relationship commitment, cultural and trust congruences, and joint innovation. These findings also offer practical managerial implications for managing collaborative innovation projects.

This study aims to excavate the external and internal driving factors of enterprise digital innovation and further condense the function mechanisms and response actions of the innovation process as well as the final innovation outcomes to propose the theoretical framework of enterprise digital innovation with the logic thread of “innovation motivation–innovation process–innovation result”.

Based on the digital background and integrating previous case studies on enterprise digital innovation, this study uses qualitative meta-analysis to explore the motivations of enterprise digital innovation, the function mechanisms and response actions of innovation process as well as the innovation outcomes.

This study finds that digitally transformed enterprises driven by external environmental factors and internal organizational factors follow the logic of adaptive and open innovation, and finally accomplish the digital innovation results of products, services, processes, business models, technology and social responsibility through the response actions of adaptation and interaction mechanisms.

In the digital economy era, digital innovation has become the key strategic choice for enterprise transformation, upgrading and innovation. Why and how enterprises realize digital innovation with the help of emerging digital technology remain to be explored. This study has important theoretical significance and practical value for the digital innovation and transformation of enterprises under the digital background.

This paper aims to elucidate the relationship between entrepreneurial orientation, reverse innovation and international performance of emerging economy multinational enterprises (EMNEs).

The authors analyze archival data of Chinese limited companies between 2010 and 2016, including 11,230 firm-year observations about 1708 firms. In order to test the study’s mediation hypotheses, the authors apply an ordinary least square (OLS) regression.

The authors find evidence that the entrepreneurial orientation of EMNEs has a positive effect on reverse innovations. Furthermore, the authors find positive effects of reverse innovation on the international performance of EMNEs. This pattern of results suggests that the relationship between entrepreneurial orientation and international performance is partially mediated by reverse innovation.

The study’s findings help managers in EMNEs to promote reverse innovation by building and using their entrepreneurial orientation. It also helps them to set out and gauge the chances of success of their internationalization strategies. The findings also hold relevance for firms in developed economies as well, as they may understand which emerging economy competitors stand to threaten their positions.

The strategic role of reverse innovations – i.e. clean slate, super value and technologically advanced products originating from emerging markets – has generated considerable research attention. It is clear that reverse innovations impact the international performance of EMNEs. Yet how entrepreneurial orientation influences international performance is still underexplored. Thus, the current study clarifies the mechanism by examining and testing the mediating role of reverse innovation among the entrepreneurial orientation–international performance link.

Open innovation has attracted the attention of experts and business entities for the sustainable survivability of firms, especially in the post-COVID-19 era. The food and beverage industry has been facing sustainable survivability problems. It is important to identify and evaluate the factors of open innovation from the perspectives of the food and beverage industry. This study serves that purpose by identifying and evaluating the factors of open innovation in the post-COVID-19 era with a special reference to Pakistan's economy.

The present study integrates the Fuzzy Delphi Method (FDM), Interpretive Structural Modelling (ISM) and Matrice d’ Impacts Croises Multiplication Applique a Classement (MICMAC) methods to analyze the factors involved in the adoption of open innovation in the food and beverage industry in Pakistan. Firstly, based on an extensive literature review of the most relevant studies, the factors affecting open innovation have been identified and finalized using FDM and experts' opinions. Secondly, the hierarchical framework has also been prepared by implementing the ISM approach. Thirdly, the MICMAC approach was employed to evaluate the factors to examine the driving and dependence powers of the factors of open innovation adoption.

The study identified 17 factors of open innovation adoption in Pakistan's food and beverage industry and 16 factors were finalized using FDM. The ISM-MICMAC matrix unveiled that awareness seminars and training, along with a lack of executive commitments, were strong factors with high driving power, but these factors proved to be weakly dependent powers regarding the other factors. Moreover, a lack of innovation strategy, R&D and non-supportive organizational culture exhibited low driving power but strong dependent power.

The findings of the study could help firms and business entities understand the driving and dependent factors involved in open innovation for the sustainable survivability of the food and beverage industry. The study provides strong reasons to believe that an open innovation strategy, along with stakeholder collaboration, the adoption of rules and regulations and managerial commitment, could stimulate open innovation. Moreover, governments should promote the business sector, especially the food and beverage industry, to facilitate the sector while also providing awareness seminars and training, creating environments conducive to reducing innovation costs.

Some previous studies have analyzed the factors involved in green innovation from the perspective of the manufacturing industry and environmental protection. The present study is a pioneer study to examine the factors involved in the adoption of open innovation in the food and beverage industry in Pakistan from the perspective of the post-COVID-19 era. For this purpose, the present study uses an integrated Fuzzy Delphi-ISM-MICMAC approach for the analysis.

This study mainly aims to explore the causal nexus between big data-driven organizational capabilities (BDDOC) and supply chain innovation capabilities (SCIC) and innovation performance (IP), then explore the indirect effect of SCIC and also test the moderating effects for both internal supply chain integration (ISCI) and external supply chain integration (ESCI) into the relationship between BDDOC and SCIC.

In order to test the conceptual model and the hypothesized relationships between all the constructs, the data were collected using a self-reported questionnaire by workers in Jordanian small and medium manufacturing enterprises. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the model.

The paper reached a set of interesting results where it was confirmed that there is a positive and statistically significant relationship between BDDOC, SCIC and IP in addition to confirming the indirect effect of SCIC between BDDOC and IP. The results also showed that there is a moderating role for both ESCI and ISCI.

This study can be considered the first study in the current literature that investigates these constructs as shown in the research model. Therefore, the paper presents an interesting set of theoretical and managerial contributions that may contribute to covering part of the research gap in the literature.