Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

Built upon a thirty-year dataset collected from the Web of Science database, the present research aims to offer a comprehensive overview of papers, authors, streams of research, and the most influential journals that discuss product and process innovation in the manufacturing environment. The dataset is composed of 418 papers from more than 150 journals from the period between 1985 and 2015. Homogeneity analysis by means of alternating least squares (HOMALS) and Social Network Analysis (SNA) are used to accomplish the objectives listed above through the keywords given by authors. Initially, the paper highlights and discusses the similarity between the topics debated by the main journals in this field. Subsequently, a wide-range map of topics is presented highlighting five main areas of interests; namely, performance, patent, small firm, product development, and organization. A SNA is also performed in order to validate the results that emerged from HOMALS. Finally, several insights about future research avenues in the manufacturing field are provided

Digital transformation of the Pharmaceutical Industry: A future research agenda for management studies

Despite the widespread attention given to Digital Transformation (DT), there is a notable lack of comprehensive knowledge concerning its implications within the Pharmaceutical Industry (PI), particularly from a Management Studies perspective. This research employs a Systematic Literature Review approach, utilizing an initial review of 404 articles (which resulted in the identification of 35 relevant papers) to propose a comprehensive Future Research Agenda focusing on key technologies driving PI-DT and addressing the major gaps in current literature. Specifically, four primary research directions are delineated in the areas of (I) Operations Management, (II) Strategic Management, (III) Organization's Theory, and (IV) Stakeholder's Theory. In conclusion, the Literature Review addresses the underdeveloped field of PI-DT in Management Studies, offering the theoretical foundation for further scholarly inquiry and knowledge development in this field

Exploring the Nexus of Digital Transformation and Sustainability in Agribusiness: Advancing a Research Agenda

The development and diffusion of digital technologies are transforming industries, including the agrifood sector, which is experiencing significant changes driven by the "Digital Agriculture" era. This paper explores the intersection of digital transformation and sustainability in agribusiness, examining how digital technologies impact organizational economics, social and environmental issues. The new competitive environment created by digital transformation necessitates strategic revitalization, collaborative engagements, and the cultivation of new skills and competencies. Despite the potential of digitalization to foster efficiency and sustainability, its relationship with sustainability initiatives requires further investigation. We discuss the cognitive processes influencing digital technology adoption and their implications for sustainability, proposing a 2x2 matrix framework to categorize different levels of technology integration and sustainability outcomes. Contributions to this discussion are positioned within this matrix, providing comprehensive insights into their practical and theoretical implications. The paper concludes with a research agenda for future studies, emphasizing the need for interdisciplinary approaches to deepen the understanding of the nexus between digital transformation and sustainability in agribusiness

A Smart City Ecosystem Enabling Open Innovation

In this position paper we present IT-centered challenges that lie in designing an architecture for a flexible, open, transferable, and replicable smart city ecosystem spanning a plethora of suppliers and systems. The background is the smart city and energy project +CityxChange. Its vision is to enable the co-creation and development of Positive Energy Blocks in smart sustainable cities. It will include the development of a framework and supporting tools to enable a common energy market, supported by a connected community and city integration. It will explore influences of the energy transition into city operations and urban planning, the integration of e-Mobility as a Service (eMaaS) into positive energy communities, and the growth of local trading markets and new business models. Digitalization, open architectures, and open data need to support these processes for open urban innovation in the ICT-enabled city

Exploratory study on risk management in open innovation

Open innovation is a strategy with increasing adoption by value-seeking companies using or sharing technology with the outside world. But this strategy is also accompanied by risk. However, risk management seems to have been overlooked by researchers on open innovation networks. This exploratory work clarifies to what extent the issue of risk has been considered in open innovation research. Presented results are based on interviews and analysis of existing literature on open innovation.info:eu-repo/semantics/publishedVersio

Collaborative Transformation Systems - Path to Address the Challenges Around the Competitiveness of Mature Countries

Part 2: Industry Transformation and InnovationInternational audienceIn mature countries manufacturing is one of the most significant sources of economic development and growth. In those countries, manufacturing transformation systems will be grounded on seamless collaborative environments and will have a high degree of flexibility in production, in terms of product needs (specifications, quality, design), volume, timing, resource efficiency and cost, being able to adapt to customer needs and make use of the entire network chain for value creation. Future transformations systems will be massively collaborative and will be enabled by a network-centric approach, making use of multidimensional data analytics, driven by advanced ICT and the latest available proven manufacturing technologies

Predicting the Relationship Between Virtual Enterprises in an Agile Supply Chain through Structural Equation Modelling

Virtual enterprises are formed in response to turbulent market conditions and are influenced by factors such as the changing relationship between customers and suppliers, the spread of agile supply chains and shorter product life cycles. Research suggests that successful virtual co-operation and supply chain agility are best achieved when the core capabilities of the partners are complementary. This paper therefore investigates the relationship between virtual enterprises in supply chains and provides further insights into the factors affecting agility. A hypothetical model is developed to examine the factors and a structural equation model is used to test the hypotheses, based on survey data from virtual enterprises in Mongolia. The structural equation model uses exploratory factor analysis, confirmatory factor analysis and path analysis. The results provide empirical evidence of the ability of the model to predict benefits arising from the formation of the virtual enterprise

Data Privacy Concerns Throughout the Customer Journey and Different Service Industries

Part 14: Data Management for Collaboration in Value Creation NetworksInternational audienceData privacy concerns play a significant role during collaboration with customers in digital networks. An important element in collaboration between business partners is the utilization of customer data in common offering development, marketing, and service operations. The aim of this paper was to focus on data privacy in the context of the customer journey and in different service industries. Based on empirical survey data (n = 306), our findings highlighted the importance of recognizing phases in the customer journey and have drawn attention to information sensitivity in different service industries. Findings showed that customers’ willingness to share data with different industries varied. Moreover, consumers’ attitudes towards the use of their personal data varied at different phases of the customer journey. Our findings have emphasized the importance of information sensitivity in different phases of the customer journey, especially when designing a means for effective data utilization in collaborative networks