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The purpose of the present study is to assist academics and practitioners in supporting and managing digital production innovation projects using managerial controls. The focus is on projects that deliver innovations containing new combinations of physical, digital and/or cyber-physical components, developed to be used within a production system. More specifically, this paper aims to explore the applicability of different managerial controls for managing and supporting digital production innovation projects, i.e. projects that are characterized by high levels of complexity and uncertainty.

This is a multiple-case study in which interview data was collected from five digital production innovation projects in two manufacturing firms. The empirical data was used to analyze success factors, challenges and obstacles in different phases of the studied projects, and to connect these to the application of different types of managerial controls.

The findings provide an increased understanding of who to control, what to control and how to control in digital production innovation projects.

This paper is focused specifically on the perception of managerial controls in digital production innovation projects and has not explicitly focused on manufacturing companies' intended usage of managerial controls. This paper's focus on manufacturing companies with producing customers and on projects developing solutions for their respective customers' production systems also encourages further studies at other companies undergoing a comparable transition. Given the necessary system perspective on managerial controls that is being highlighted, this paper emphasizes further research needs on how firms can also apply managerial controls to support external collaborations.

The results have a number of managerial implications regarding digital production innovation projects. The most prominent findings revealed the importance of giving attention to the managerial controls related to the decision-making process and the involvement from stakeholders outside the organization itself. In particular, it was shown that managerial controls securing a more holistic involvement in the decision-making process should be applied, and that managerial controls suitable for customers and partners need to be developed.

The study is among the first studies to focus on the application and perceived effectiveness of managerial controls in digital production innovation projects. The ways in which managerial controls are applied to collaborations with customers and partners and the ways in which action, cultural and personnel controls are combined and aligned to support the corporate decision-making process particularly stand out as essential for manufacturing companies' Industry 4.0 transition.

This paper examines three issues. First, do multiple possible paths to high versus low new product performance (NPP) occur among European, high-tech, industrial manufacturing firms? Second, what are the upstream influences on high NPP? For example, what background factors affect the levels of the KSFs? Third, do consistent country-level differences occur among Austrian, German, and Swedish executives in their evaluations of antecedents and high-tech NPP? To probe these issues, a total of 771 chief operating officers and project managers participated in face-to-face long interviews (McCracken, 1988) covering 241 less and 264 more successful than average industrial NPD projects. The empirical findings support the propositions that: (1) multiple paths lead to high versus low NPP; (2) unique antecedent variables affect the KSFs for high NPP; and (3) for several upstream and direct influences, consistent national differences occur among executives’ assessments of NPP. A key implication of the study for NPD executives is to recognize the possibility of alternative paths leading to successful NPD.

The purpose of this paper is to analyze in a sample of Spanish manufacturing firms the relationship between agile manufacturing and the firm’s management capacities related to innovation and production flexibility. Complementarily the survey addresses the implementation of agile production and its measurement.

For data collection, a survey through mail to operations and human resource managers of manufacturing firms and telephonic interviews with managers from 25 selective firms was carried out. The population of the study included firms from the Sistema de Análisis de Balances Ibéricos database with NACE codes 24–32 and at least 200 employees. Quantitative methods (linear hierarchical regression and mean differences) were used to test research hypotheses, and a qualitative method (interview analysis) was used to analyze an implementation and measurement model of agile production.

The results of the study show that high-agile firms use more intensively a comprehensive set of agile facilitators (design, manufacturing and supply). They also innovate and cooperate externally more on innovation than low-agile firms. The authors have found that external technological cooperation moderates the firm’s production flexibility.

The implications of this research indicate, on one hand, that firms interested in implementing agile production should focus on the agility management of supply chains, the skills and knowledge development of human resources and in the implementation of agile manufacturing technologies. On the other hand, firms in less cooperative environments should focus more on their internal manufacturing systems to reinforce the relationship between production flexibility and agility that offers broader scenarios to compete under this production paradigm. The main limitations of the research design are the use of cross-sectional data and the use of managerial perceptions to assess most of the variables.

This paper offers a model of agile production implementation that it is complemented with measurement indicators to analyze the firm’s evolution toward agility. The combination of multivariate analysis and managers’ interviews to obtain and validate results creates a value for managers interested in agile production.

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.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this article is to show (1) how social innovations are created through co-production in social enterprises in Finland and (2) how enabling ecosystems for the creation of social innovations can be enhanced by the government.

This study is a descriptive case study. The data comprises focus group interviews that were conducted during a research project in Finland in 2022. The interviewees represented different social enterprises, other non-profit organisations and national funding institutions.

Social enterprises create social innovations in Finland through co-production, where service innovation processes, activism and networking are central. Also, to build an enabling ecosystem, government must base the system upon certain elements: enabling characteristics of the stakeholders, co-production methods and tools and initiatives by the government.

The authors address an important challenge that social enterprises struggle with: The position of social enterprises in Finland is weak and entrepreneurs experience prejudice from both the direction of “traditional” businesses and the government which often does not recognise social enterprise as a potential partner for public service delivery. Nonetheless, social enterprises create public value by contributing to the co-production of public services. They work in interorganisational networks by nature and can succeed where the traditional public organisations and private businesses fail.

The purpose of this paper is to examine healthcare organizations for the improvements in their existing services (incremental innovation) as well as for the new service developments (radical innovation) initiated through the utilization of resources and co-producing behavior.

The paper uses an SEM approach to analyze the responses obtained from 257 medical administrators of 50 hospitals registered with National Accreditation Board for Hospitals and Healthcare Providers.

The results reflect a positive and significant impact that is more driven by internal resources and is found to be stronger for incremental innovation in healthcare. The study also posits that resource utilization in conjunction with co-production activities has greater potential to bring innovation that is likely to succeed and stay inimitable.

The paper outlines scope for future research and suggests inclusion of other service sectors, geographical locations and performance indicators to attain a better understanding of the constructs examined.

The paper outlines implications for policy makers concerned with healthcare. Providers of health services ought to develop a proactive customer-oriented approach so as to deliver value through service innovations. Integrating customer co-production processes may further augment the overall quality of care.

Empirical studies integrating the resource-oriented view of innovation along with firms’ co-production and collaborative mechanisms are majorly lacking. The study bridges this gap and suggests ways to bring innovation in health services, a pivotal need for health institutions of an emerging economy like India.

The aim of this paper is to contribute to the understanding of innovation in services. First, service firms were classified according to the degree of customization of service product and technology, because it reflects the degree of interaction between producer and consumer. This is a key element in the process of production and, hence, in the innovation developed by these firms. Second, we identified four different modes of innovation in Spanish service firms, which reflect diverse patterns of innovation according to depth of changes introduced by firms. Finally, we examined how the innovation patterns are generalized by the type of service firms, confirming that there is a relationship between production and innovation strategies. This paper yields empirical evidence from Spanish services, showing that service firms develop innovations coherently according to their production strategy.

The purpose of this paper is to investigate different types of innovations and their effects on eco-innovation practices by firms practicing green technology in Malaysia.

This paper collected data via postal and online surveys. The population frame for this study was obtained from the External Trade Development Corporation directory 2010 and the MyHijau Directory published in 2013. Surveys were distributed to the top management of green technology companies.

Based on the reflections from the managers who participated in the survey, this study found that environmental compliance has become a critical issue and lack of enforcement can no longer be ignored. Despite that fact that eco-innovation inspection activities to comply with environmental regulations are carried out periodically by the studied firms, the challenges in deploying the latest green technologies and their potential benefits have remain evident. Often, a shortage of resources has restricted firms in setting up in-house research and development units.

The findings of this study lead to the suggestion that firms practicing green technology should engage in an information-sharing culture with key suppliers regarding the latest know-how and technological developments. Among the recommendations are that firms should engage employees, customers, suppliers and competitors through co-production. This engagement will help improve product marketability, lean production processes and the design of desired green products.

This study investigated the level of eco-innovation practices for each dimension of its construct and compared that level to the different stages of firm innovation. The results will fill in the gaps in the literature because previous studies only focused on theory testing and modelling of eco-innovation from a multidisciplinary approach.

This paper aims to use a lead market approach for each of 25 European Union member states (EU‐25) to assess the likelihood that locally preferred innovation designs in the Energy Production Sector will become successful in other countries. Based on the lead market analysis, it aims to outline implications for innovation management.

The paper identifies and operationalises indicators to measure and compare the lead market properties of the energy production sector at international level. The indicators used are taken from the Community Innovation Surveys, the Eurostat/OECD PPP and Expenditure Database, the UNCTAD FDI‐Database, the EU Business Demography Statistics, and the Eurostat Foreign Trade Database (Comext).

French energy production companies proved the most effective at orienting their product innovations towards the needs of customers in international markets. The companies in other countries within the EU trade on home markets that exhibit barriers to innovation in at least two of the lead market factors. Therefore, the lead market, France, should be the focal point for the development of global innovation designs. By focusing on innovation designs which respond to the preferences within the French lead market, the innovation management of a company can leverage the success experienced in the lead market for the product's global market launch.

Indicator values were not always available for lead market properties of the energy production sector in every member state. This was particularly true when it came to measuring market structure advantage and transfer advantage.

Market research on the lead market takes centre stage when product innovations are in the development phase. Companies in countries that do not have sufficient above‐average lead market attributes must target product innovations to fit the preferences of users in the lead market – in this case, the French clients of the energy production sector. The observation of the lead market can take on varying degrees of intensity. These range from simply making use of listening posts in the lead market to testing and/or launching new products there.

This paper is the first to apply the lead market approach to systematically investigate demand‐specific innovation drivers in the energy production sector. Its consideration of the demand side of innovation is of the utmost interest for the more recent strains of innovation research as well as for innovation management in the energy production sector itself.