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The economic crisis triggered by the COVID-19 pandemic has had significant consequences on the activities of companies worldwide. This study aims to unveil how open innovation fostered business model innovation in small and medium enterprises (SMEs) during the pandemic.

The research adopts a qualitative approach, involving a multiple case study methodology, and focusses on six SMEs operating in various traditional sectors.

The findings highlight the impact of the external stimulus, COVID-19, on business model innovation and the key role of open innovation management in pursuing the business model innovation, which may also involve a digital transformation.

While some studies have examined how the pandemic has fostered business model transformation, to the best of the authors’ knowledge, this is the first study analysing the pivotal role of open innovation in driving business model innovation during challenging times, such as the COVID-19 pandemic.

This paper seeks to explore how market orientation facilitates the strategic flexibility of business models grounded in open innovation. The authors suggest that the new paradigm of open innovation may impact a firm's adaptability and responsiveness under conditions of environmental flux. However, extending innovation capacity by opening the innovation process poses major challenges for firms. The aims of this study are to explore the characteristics of open innovation activity and to contemplate the role of strategic flexibility in the design of business models based upon open innovation.

The study draws upon a qualitative research approach through a longitudinal case study in the field of open source software (OSS). The empirical case illustrates how an OSS firm utilizes signals in its environment to flexibly alter its business model.

A business model that embodies open innovation raises dilemmas between open and closed innovation paradigms. However, the authors' case highlights that an ambidextrous approach that combines market orientation with the principles of open innovation increases profitability, shortens time to market through effective market access, and enhances innovation capability.

The results have profound implications for industrial marketers, managers, management consultants and business educators. They can use the insights gleaned from this research to guide the development of business models that involve open innovation. The results indicate that firms involved in open innovation need reactive strategic flexibility to cope with the environmental diversity and variability. However, this study analyzes a single case in the field of OSS and one should be cautious when generalizing the findings.

This paper improves the understanding of the relationship between flexibility and market orientation. It combines two areas that have previously been discussed separately, i.e. market orientation and open innovation.

This study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. It also seeks to explore whether the existence of open innovation has a mediating effect and influence.

This study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to collect research data. In the conceptual framework, organizational inertia is a second-order latent variable and comprises three first-order latent variables: insight inertia, action inertia, and psychological inertia. Open innovation is also a second-order latent variable, and consists of two first-order latent variables: outbound and inbound open innovation. To clarify the relationship between these latent variables, structural equation modeling (SEM) is used to test the goodness of fit of the theoretical model and research hypotheses. This study uses 141 small to medium-sized manufacturing enterprises (SMEs) in Taiwan as the research subjects.

The SEM analysis revealed that open innovation has a significant mediating effect on the relationship between organizational inertia and business model innovation, and the relationship between organizational inertia and firm performance; business model innovation also has a positive influence on firm performance.

This study contributes the empirical analysis of SMEs to illustrate the role of open innovation on business model innovation processes.

The purpose of this study is to figure out the factors for sustainable growth of small- and medium-sized enterprises (SMEs).

In all, 27 SMEs in the area of IT (Information Technology) in Korea were analysed through interview method basically.

It is found that sustainable development of SMEs requires two kinds of open innovation which are knowledge strategy and business model. According to developing process, SMEs change their open innovation strategy in knowledge strategy and business model. The highest growth limit of SMEs depends on open innovation in knowledge strategy and business model in sequence from closed innovation in both, through open innovation in both, to open innovation in knowledge strategy and closed innovation in business model and to closed innovation in knowledge strategy and open innovation in business model.

First, the present study was conducted with IT sector SMEs in Korea. It is true that the IT sector is one of the most rapidly changing industrial sectors and is one of representative business types of SMEs in which manufacturing and service industries coexist and diverse sizes of SMEs exist (Malerba, 2002). Second, the present study relies on case study methods. It is true that case study is a method that gives excellent qualitative analysis in firm studies (Yin, 2008).

SMEs cannot survive if they do not accept open innovation in knowledge strategy and business model. SMEs that show absolute limitations in resources and manpower should absolutely implement open innovation strategies to secure more diverse resources from markets and external knowledge bases rather than preparing all resources and capabilities by themselves (Van de Vrande et al., 2009; Yun and Mohan, 2012a, 2012b).

SMEs should bear in mind the two different levels of open innovation, such as knowledge strategies and business models (Chesbrough, 2007; Chesbrough and Appleyard, 2007).

SMEs should not confuse between temporally sustainable development and infinite sustainable development. Firms that take closed innovation strategies in both knowledge strategies and business models can also grow for some time. However, because of the deepening of knowledge-based economy, not only the amount of knowledge existing in the world and the speed of knowledge distribution increased but also the customers’ demands and expectations have been observed to increase in the market immediately through social networking sites (SNS), etc. (Yun and Ryu, 2012).

The purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).

One of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.

Based on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R², p value and T-statistics to be stated as a significant relationship.

This research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.

The implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

This paper aims to explore the importance of knowledge-oriented leadership in the context of business model innovation (BMI) and open innovation. This study also seeks to explore the existence of a mediating effect of absorptive capacity.

Data were collected using a survey, from the information technology industry in India. The relationships proposed in the conceptual framework were tested with structural equation modeling (SEM) using Smart partial least squares (PLS) 3.

The findings highlight a positive influence of knowledge-oriented leadership on BMI and open innovation. Results also revealed that open innovation can facilitate BMI. Additionally, findings highlighted the mediating role of absorptive capacity in these relationships.

This study suggests that businesses should employ and value leaders who can create, transform, store and use knowledge resources. Companies that employ such leaders encourage the creation and exchange of new knowledge, which consequently would lead to the successful exploration of innovative approaches. A culture of open innovation would help managers break down barriers, overcome inertia and continuously test new business models to generate revenues, increase value, enhance organizational effectiveness and ultimately gain competitive advantage.

This study is one of the first to empirically contribute to the role of knowledge-oriented leadership and BMI from the perspective of open innovation.

This study aims to analyse the effects of (1) open innovation on corporate risk management, organisational strategy and competitive advantage, (2) corporate risk management on organisational strategy, and (3) organisational strategy on competitive advantage. In addition, it assesses (4) the mediating effects of corporate risk management on the relationship between open innovation and organisational strategy.

This exploratory and transversal study takes a quantitative methodological approach based on survey data from 251 hotel executive directors from Portuguese small and medium-sized enterprises (SMEs).

The results confirm relationships between open innovation and corporate risk management, organisational strategy, and competitive advantage. They also confirm the importance of corporate risk management for organisational strategy and organisational strategy for achieving competitive advantage. The research demonstrates that corporate risk management has a mediating effect between open innovation and organisational strategy.

The present study proposes a model which provides better knowledge of the relationships between open innovation, corporate risk management, organisational strategy and competitive advantage. The model uses various scales to create a robust analytical measurement instrument. This research provides an in-depth analysis of the psychometric properties of the structural model’s latent variables through PLS-SEM and shows the differentiated paths of the endogenous and exogenous constructs. Finally, the importance of the role of open innovation in the process of attracting the resources necessary, that is, organisational and technological resources, to successfully operate in the hotel sector is highlighted. Thus, this research fills existing gaps in the literature.

This research can contribute to the development of new instruments and programmes to improve the operational performance of SMEs in the hospitality sector. Understanding the relationship between the constructs will allow top managers to strengthen corporate resources, technologies and dynamic capabilities, and to promote entrepreneurial policies to enhance the relationship between open innovation and competitive advantage. Ultimately, the results of this study will allow governments, national, regional and local, to create policies, programmes and incentives to help firms adopt or extend the open innovation model, thus promoting the exchange of internal and external knowledge and strengthening the dynamics of the business ecosystem.

The paper discloses the relationships between open innovation, corporate risk management, organisational strategy, and competitive advantage, by identifying the main characteristics of the constructs and revealing the linkage between them. This pioneering study analyses the mediating effect of corporate risk management between open innovation and organisational strategy and those mentioned above.

This study aims to recognize the growing importance of Open Innovation (OI) theory and practice in the broader fields of Management and Information Systems, and focuse on the relationship existing between OI and a firm’s Business Strategy. Hence, the study aims at investigating the multifaceted OI – Strategy nexus at a business level, assessing how OI initiatives influence Strategy within the Mobile Telecommunications Industry and thus contributing to framing and classifying such inherent relationship.

A data-driven research approach is used, based on 45 qualitative interviews on firms operating in the Mobile Industry and involved in OI initiatives.

Six cross-themes the OI–Strategy relationship in the Mobile Industry revolves around are identified, i.e. OI and Competitive Advantage; OI and Strategic Positioning; OI and Business Models; OI in Networks; OI and Co-opetition; and OI and Resilient Business Advantages. For each theme, examples from the sample of interviewed Mobile firms are organized and reported. The key managerial issues emerging in the attempt to relate OI initiatives and the firm’s overarching Strategy are also underscored and organized in three streams, namely, designing an open business model; achieving competitive advantage through value capture; and nurturing OI as a dynamic capability.

The proposed reorganization of real-world OI and strategic initiatives in the Mobile Industry, together with the underscoring of key managerial issues, constitutes a comprehensive research agenda or roadmap, with value for both academics and practitioners.

The basic concept of transaction cost theory is that firms like to conduct transactions in a channel with lower transaction costs. Therefore, the purpose of this paper is to use the transaction cost perspective to identify which conditions cause companies to choose between outbound open innovation (hierarchy governance) and inbound open innovation (market governance).

Accordingly, transaction cost economics was used to relate the choice and implementation of open innovation using a sample of 250 electronics and information start-ups in China. Structural equation modeling was used to conduct confirmatory factor analysis to evaluate measurement model, while logistic regression analysis was used to test the hypotheses.

As expected, the dedicated asset specificity, human asset specificity, behavioral uncertainty, transaction frequency, and small number exchange were positively associated with outbound open innovation.

The contribution of this paper lies in explaining the role played by transaction cost economics in the process of open innovation for start-ups through empirical analysis.

The purpose of this paper is to propose a new statistical approach to evaluate complex open innovation projects on a quantitative basis. In certain circumstances, open innovation entails a radical change of policy that involves various different functions of a company such as R&D, production, and management over a period of years and gives rise to mechanisms of mutual interaction with several business partners, such as collaboration with other companies, universities and R&D institutions, and new suppliers. Then, the question arises of how to measure the impact of such complex open innovation processes on the overall performances of companies.

A holistic case study is applied to analyze the effect of open innovation projects on a corporate company’s stock price dynamics. The scope is to identify two different scenarios pre- and post-adoption of an open innovation model by a multinational company, Fujifilm. In particular, a stochastic model, namely the log-normal model, is applied along with three statistical tests: Kolmogorov-Smirnov, Cramer von Mises, and F-test for equal variances, in order to verify if the adoption of an open innovation model causes any significant change in the stock price dynamics of the corporate company.

From the findings emerges evidence that open innovation projects have a moderate effect on Fujifilm’s stock price dynamics, but a greater improvement of the perception of Fujifilm’s stock value. This enhances the management and financial literature review by offering a novel, empirical perspective on the effect of the adoption of an open innovation model on a corporate company’s stock price dynamics.

This research is limited to a single case study, but it can be extended to other stock market companies and therefore improve on the present study.

An original application of Kolmogorov-Smirnov tests to detect and measure the differences between the two regimes of pre-open innovation and post-innovation regimes.