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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 explore the selection of decision-making approaches at manufacturing companies when implementing process innovations.

This study reviews the current understanding of decision structuredness for determining a decision-making approach and conducts a case study based on an interactive research approach at a global manufacturer.

The findings show the correspondence of intuitive, normative and combined intuitive and normative decision-making approaches in relation to varying degrees of equivocality and analyzability. Accordingly, the conditions for determining a decision-making choice when implementing process innovations are revealed.

This study contributes to increased understanding of the combined use of intuitive and normative decision making in production system design.

Empirical data are drawn from two projects in the heavy-vehicle industry. The study describes decisions, from start to finish, and the corresponding decision-making approaches when implementing process innovations. These findings are of value to staff responsible for the design of production systems.

Unlike prior conceptual studies, this study considers normative, intuitive and combined intuitive and normative decision making. In addition, this study extends the current understanding of decision structuredness and discloses the correspondence of decision-making approaches to varying degrees of equivocality and analyzability.

This paper aims to investigate sustainability-led innovation, focusing on the interplay between product and process innovation for sustainability goals and the underlying supplier–customer relationships. Thus, the paper delves into sustainability-led innovation and how it affects supplier–customer relationships, and vice versa, thus providing a twofold perspective.

The textile industry is the empirical context of this study, which is exploratory research based on in-depth, semi-structured interviews with entrepreneurs, managers and experts in the textile industry.

In the textile industry, sustainability-led product innovation concerns mainly product durability and performance, product recyclability and the use of waste for new product development. Process innovation deals with circular economy, traceability and water and chemical use minimization. The paper also shows how sustainability-led innovation is implemented in more technical terms and regarding supplier–customer relationships.

The paper adopts an original perspective on how processes take place in the relationships between suppliers and customers, where there is no dominance of one actor, but innovation emerges from interdependence and interaction. Such perspective allows to provide an in-depth analysis of the supplier–customer relationships and underlying dynamics that affect sustainability-led innovation; moreover, the authors study how such innovation impacts supplier–customer relationships and the underlying relational dynamics. The value of the paper also stands in delivering a real representation of the innovation processes grounded in the textile industry.

In order to better optimize the internal management system of book publishing and to cope with the changes in the external market environment, the purpose of this paper is to carry out cross-border publishing with the help of a transmedia storytelling model to realize the transformation and upgrading of the industry. Focusing on the relationship between the book publishing transmedia storytelling model and business performance, the moderating effect of the innovation environment on different variables is assessed.

This paper proposes several feasible hypotheses based on existing research. The research data came from 365 managers of Chinese book publishing organizations, and the scale was validated by Cronbach’s a, composite reliability (CR) and average variance extracted (AVE). Reliability and validity were verified, and correlation and regression analyses were used to test the impact of the book publishing transmedia storytelling model on business performance and to analyze the moderating role of the innovation environment.

The results show that the book publishing transmedia storytelling model (content production, technology integration, organizational innovation, marketing integration) helps to improve business performance (market performance, financial performance), and the innovation environment has a positive moderating effect on the relationship between the book publishing transmedia storytelling model and business performance, which provides a guarantee for the transformation and upgrading of book publishing. The market information reflected in the innovation environment has a certain role in promoting the innovation and business performance of the book publishing transmedia storytelling model.

The empirical evidence provides a theoretical link between the book publishing transmedia storytelling model and business performance, but there are still some shortcomings, and more factors, such as equity structure, government subsidies and research and development investment, should be included in future research. In addition, the scope of the research should be broadened on this basis to make the results of the data analysis more objective.

This paper introduces the transmedia storytelling model and deeply analyzes the relationship between the book publishing transmedia storytelling model and business performance, which is of great practical significance for optimizing the application and service quality of book publishing, prolonging the industrial chain, enhancing the interaction and participation of users and perfecting the business management system of the book publishing industry.

The application and research of the book publishing transmedia storytelling model are imperfect. Therefore, this paper not only helps to promote the innovation of book publishing organizational structure and improve the management system of business performance, but also may help to improve the innovation environment of book publishing enterprises and promote the diversification of industrial structure.

In the development processes of a product’s market life cycle, there are three phases of an enterprise’s innovation: new product development, production processes, and product management. In this article, the analyses of benefit and costs, value, and profit to companies are discussed in different stages. New logistics features that appear in an enterprise’s supply chain based on innovative modeling are discussed. Then a logistics model and its technical system based on the classified logistics center are established, which are appropriate for innovative modeling within an agile supply chain. Using the basic theory and techniques of ‘extenics’, the formal conception of innovative modeling-based manufacture in logistics is presented, and the matter-element models are established. Finally, a case study demonstrates the results.

Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.

An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.

Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.

Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.

The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.

The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.

This paper aims to study whether Peruvian manufacturing firms that implement innovation have positive performance and whether R&D activities moderate these relationships.

Using a data set of Peruvian manufacturing firms from the 2018 National Survey of Innovation, a LOGIT model analysis was applied to 774 companies. In addition, the authors fitted different models into subsamples to explore the moderating effects of R&D on manufacturing firms. Finally, the regression models were computed using R software.

The results indicate that product, service and marketing innovation are associated positively with an increase in market share, while process and organizational innovations are associated positively with productivity. Moreover, companies with R&D are more productivity-oriented than companies without R&D.

This study contributes to the literature on innovation management by supporting the assumption that innovation results in increased productivity and expands market demand. In addition, findings highlight that R&D is essential for boosting firms’ productivity.

Managers should consider an appropriate combination of the innovation portfolio and R&D investments to make progress and increase performance in the company. In addition, policymakers should consider that investments to promote the development of R&D activities in manufacturing companies will likely lead to médium- or long-term returns.

The correct use of indicators to measure these relationships could help the policymaker to design and measure policy instruments more efficiently.

These results provide a deeper understanding of how the effects of innovations implemented by manufacturing firms, especially service and process innovation, improve their performance.

In a context where the process of creation of technology and innovation for agriculture is being disrupted at a fast pace, the authors proposed to study one of the most prominent agtech innovation ecosystems. Therefore, this paper aims to identify key characteristics that make California’s agtech innovation ecosystem remarkable.

The paper is an exploratory and descriptive research carried out in a twofold. First, data were collected through documental research focusing on actors such as universities, R&D centers and programs, business accelerators and venture capital platforms, agtechs, as well as multinational companies. Second, structured interviews were carried out to complement the secondary data collected and to obtain experts’ perception on the relationships between actors of the ecosystem and on the characteristics that make this ecosystem remarkable.

The paper provides empirical insights about the relevance of California's agtech innovation ecosystem to creation of radical innovations in agriculture. It has a differentiated environment, where educational and research institutions play a key role in developing new knowledge. It also shows how important funding is to allow new business to succeed. Additionally, it shows that actors interact in a complex network, with multiple roles. All these key characteristics allow this agtech innovation ecosystem to be so remarkable.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to survey a larger number of actors of this and other agtech innovation ecosystems to test the identified key characteristics further.

The paper includes indication of characteristics necessary to develop a prominent agtech innovation ecosystem, which may contribute to decision makers to develop policies aiming to promote this type of ecosystem.

This paper fulfils an identified need to open the “black-box” of agtech innovation ecosystems, which may then allow radical innovations within the sector to be developed and taken to the market.

The subject of innovation in public service has been gaining attention in Brazilian scientific practice and production. This paper aims to identify national studies on innovation in public administration and increase the level of knowledge about the subject, as well as to inspire new research and promote advances in theoretical and practical knowledge about innovation in the public sector.

The present study has a descriptive purpose, quantitative nature and was performed through a bibliometric study based on the protocol proposed by Cronin et al. (2008). Documentary data were collected from scientific articles, and quantitative techniques for descriptive statistics were used to analyze the results. Were selected Brazilian scientific journals classified with Qualis equal to or higher than B1, in the area of Public Administration and Business, Accounting and Tourism, in the quadrennium 2013-2016; a total of 164 journals searched.

The results herein indicate a research gap that should be filled by more theoretical studies. Also, they point to the need for multimethod research studies that promote the evaluation of product and process innovation, especially related to the phases of invention and implementation.

Few studies have covered public administration and, especially, innovation reviews; none of these studies focused on innovation in the Brazilian public sector, as proposed by this research; the period of analysis and coverage of journals used as search criteria also differ from other reviews in the area of innovation and public sector.

The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions.

Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data.

As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas.

Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.