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The purpose of this paper is to advance the understanding of how Industry 4.0 related technologies affect the relocation of manufacturing abroad by small and medium-sized enterprises.

This paper contains an empirical analysis of how Industry 4.0 related technologies affect the cost-driven relocation of manufacturing abroad based on 191 comprehensive and full responses to a questionnaire survey distributed in 2018 among small- and medium-sized Danish manufacturers.

This paper builds upon data, which reveals that companies' pursuit of cost-focused competitive strategies is positively correlated with relocating manufacturing abroad. However, the data also shows that the more Industry 4.0-ready decision-makers are, the less cost-focused strategy drives manufacturing abroad. Furthermore, perceived barriers to Industry 4.0 related technologies promote the cost-driven relocation of manufacturing abroad whereas perceived drivers decrease this phenomenon.

This paper is based on the answers given by a single respondent from each company and only on Danish respondents.

The results indicate a need to invest resources to obtain a better knowledge of Industry 4.0 related technologies when used in processes involved in decisions about where to locate manufacturing.

This paper contains new, empirically founded information about how Industry 4.0 related technologies affect the cost-driven relocation of manufacturing abroad from the perspective of small- and medium-sized manufacturers.

The digital transition process is an important strategic initiative for manufacturing companies to ensure continued competitiveness. The purpose is to investigate the relationship between firms' additive manufacturing (AM) readiness and product and process innovation and how this process is mediated by firms' make-or-buy decisions regarding performing AM processes internally or buying AM services from external partners.

The paper is based on a questionnaire survey including full answers from 157 small- and medium-sized manufacturing companies.

Results show a positive relationship between AM readiness and both product and process innovation. Results also reveal that firms with higher readiness invest more in in-house AM, which in turn promotes innovation. There was no significant association between AM readiness and the use of external AM services. Nonetheless, buying external AM services is still associated positively with innovation.

Data in the questionnaire survey are provided by single respondents from each company and are only based on Danish respondents.

The results indicate that firms' product and process innovation benefits from higher AM readiness derive from increased investment in in-house AM rather than from increased use of external AM services. This also signifies that firms with lower levels of AM readiness buy external AM services and derive the innovation benefits hereof.

The paper delivers new, empirically found knowledge about how small- and medium-sized manufacturing can improve innovation by both making and buying AM services.

This paper aims to analyse how the political, relational and institutional contexts of the offshore wind industry affect supply-network-enabled innovation (SNEI) and to identify significant possibilities for obtaining the overall target of reducing the cost of producing energy based on the offshore wind industry.

Through an embedded single-case study, the contextual conditions of SNEI within the relatively immature offshore wind energy industry are investigated.

The national system of innovation only affects product innovation within the industry. Process innovation, which is needed to make the industry grow and mature, seems lesser supported. Different levels of maturity exist among the actors within the industry, which creates barriers for SNEI. To help the offshore wind industry grow, the educational and research system can promote integration of companies by helping the actors to design best practices and manage their business processes according to some generic goals and practices. Additionally, the political system must provide clearer intentions for a sustainable future.

This paper provides insights into how SNEI can be applied within the Danish offshore wind industry to foster competitive advantages against energy recovered based on fossil fuels.

The paper contributes to the rather immature field of research on SNEI with empirical data from a network of companies. Furthermore, it adds to the emerging research area of political-initiated development of renewable energy sources.

Additive manufacturing (AM) is one technology among the many under the umbrella of Industry 4.0 technologies. AM is developing rapidly, and extant research reveals that the technology contains possibilities for firms to develop competitive advantages, but that it also poses several challenges to overcome before such benefits can be achieved. To provide further insight into this topic, this paper aims to analyse how a business association can disseminate knowledge and experience about AM to its members.

The paper is based on 13 interviews from 11 different organisations within an embedded single-case study of a Danish non-profit business association.

The paper identifies 12 motivational factors for joining the association as well as seven perceived challenges in the current setup of the association. The paper demonstrates that barriers to the use of AM can be reduced through participation in a business association.

The paper is based on a single-case study design and does not provide a foundation for statistical generalisations. The challenges identified are biased towards the companies that are members and do not represent companies that either consciously or unconsciously are not part of the association.

Being aware of the barriers for AM is important to optimize the benefits of joining a business association. However, operating such an association with the purpose of disseminating AM knowledge involves the inherent dilemma of protecting knowledge for the individual members, and at the same time, fostering knowledge sharing.

The paper provides novel data on how a business association can help mitigate perceived barriers to using AM.

Big data poses as a valuable opportunity to further improve decision making in supply chain management (SCM). However, the understanding and application of big data seem rather elusive and only partially explored. The purpose of this paper is to create further guidance in understanding big data and to explore applications from a business process perspective.

This paper is based on a sequential mixed-method. First, a Delphi study was designed to gain insights regarding the terminology of big data and to identify and rank applications of big data in SCM using an adjusted supply chain operations reference (SCOR) process framework. This was followed by a questionnaire-survey among supply chain executives to elucidate the Delphi study findings and to assess the practical use of big data.

First, big data terminology seems to be more about data collection than of data management and data utilization. Second, the application of big data is most applicable for logistics, service and planning processes than of sourcing, manufacturing and return. Third, supply chain executives seem to have a slow adoption of big data.

The Delphi study is explorative by nature and the questionnaire-survey rather small in scale; therefore, findings have limited generalizability.

The findings can help supply chain managers gain a clearer understanding of the domain of big data and guide them in where to deploy big data initiatives.

This study is the first to assess big data in the SCOR process framework and to rank applications of big data as a mean to guide the SCM community to where big data is most beneficial.

There is increasing research interest in the expansion of the offshore wind energy sector. Recent research shows that operations and maintenance (O&M) account for around 20-35 per cent of the total energy costs in this sector. The purpose of this paper is to provide an overview of O&M issues in the offshore wind energy sector to propose initiatives that can help reduce the cost of energy used by offshore wind farms.

The paper is based on an in-depth literature review and a Delphi study of a panel of 16 experts on O&M.

Consisting primarily of conceptual papers and/or modelling papers, the extant literature identifies several challenges for O&M in the offshore wind energy sector. These challenges can be grouped into four categories: issues related with industry immatureness; distance/water depth; weather window; and policy issues. The Delphi study identified three other major issues that lead to increased O&M costs: too many predefined rules that limit development; lack of coordinated planning of the different services offered at the wind farms; and lack of a common approach on how O&M should be managed strategically.

The present study is based only on Danish respondents. Future research needs to include various respondents from different countries to identify country-specific contingencies.

The paper provides an overview of the O&M issues in the offshore wind energy sector to prioritize where future resources should be invested and, thus, reduce O&M costs.

This is the first paper on O&M issues that bridges both literature studies and industry expert opinions.

The purpose of this paper is to extend the research domain of Sales & Operations Planning (S&OP) beyond the hard issues by focusing on soft issues in S&OP processes. This paper aims to investigate how consciousness of different personality types can affect S&OP processes.

This paper is based on a single longitudinal case study from a medium-sized enterprise with a data collection period of more than two years. This paper is based on observation and interviews gathered at several stages during pilot implementation and operation phases.

This paper indicates that a focus on behavior using personality type theory and key behavioral indicators has provided a common framework for understanding how the S&OP process is impacted by different personalities and behavior. This knowledge has increased the awareness of which behavior sustains a silo mentality and which behavior breaks it down. Quotations are used to provide substance of this explorative topic.

As a single case study, this paper only provides results for analytical generalization.

Consciousness of behavioral elements in S&OP processes is proposed here as a complement to key performance indicators as levers to implement and obtain sustained operation of S&OP.

This paper is the first explicitly integrating personality type theory for a better understanding of implementing and operating S&OP processes. This paper contributes with a new understanding of S&OP success factors and how a common language may improve process efficiency.