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This research aims to investigate the influence of the implementation of technical cycles on both captured value and shared value in the circular economy context. Moreover, it analyses the moderating effect of competitive criteria on the relationship between technical cycles and captured value. Finally, it examines the relationship between the captured value and the shared value.

This research follows survey-based research with data gathered from 50 countries and 16 sectors, whose final sample represented 233 organisations. In order to validate the structural and measurement model, the authors applied the partial least squares structural equation modelling technique in the strict rigour of the confirmatory algorithm.

The validated research model demonstrates the value flow through technical cycles. Moreover, it shows the crucial role of the competitive criteria in the value stream through direct, moderate and indirect effects by influencing the relationship between technical cycles and captured and shared values. Finally, the study fills the gap for quantitative studies in the circular economy field.

From a practical perspective, this study contributes to structuring circular business models more robustly, by understanding the influence of competitive criteria (cost, quality, flexibility and delivery) on the conversion of operation strategy in the implementation of the technical cycles in the circular economy context. It contributes to decision-makers, in deciding on which competitive criteria to invest more, which brings more consistent results for technical cycle implementation. It also confirms the importance of partnerships, demonstrating how value cascades from the company through the value network.

As far as is known to date, this is the first study investigating the influence of competitive criteria in the circular economy context. Furthermore, it sheds light on the direct and indirect effects of the technical cycles on value captured by organisations and flow shared value with other players.

Examines the manufacturing strategy framework developed by Hill and its development, comparing it to work in manufacturing strategy and other related fields. Discusses Hill’s distinctive concepts of order‐winning criteria and order‐qualifying criteria. Also raises issues relating to manufacturing strategy more generally. Concludes that strategy is now about the very ability to change, not just about choosing the “right” change to make.

This paper aims to shed light on how offshore wind park business networks can orchestrate dynamic capabilities to enable innovation for the competitive advantage of renewable offshore wind energy.

The research is based on a qualitative multiple-case study of operation and maintenance activities in offshore wind parks, starting in June 2014 with a pilot qualitative case study and the main qualitative multiple-case research conducted via in-depth interviews with 20 enterprises. The preliminary findings were presented for the qualitative triangulation of comments in a seminar in May 2015.

The findings explain the need for collaboration across the business network through the use of an open innovation platform for orchestrating dynamic signature capabilities in combination with ordinary capabilities. Both locally distributed leadership and central leadership in knowledge creation are necessary ingredients. The model developed from the research findings shows the need to change the competitive advantage criteria within business networks to VRIS (valuable, rare, imitable, substitutable) in contrast to the traditional criteria for individual enterprises of VRIN (valuable, rare, imperfectly imitable, non-substitutable).

The research is focused on offshore wind park business networks, and therefore, the generalizability of this qualitative case study to other contexts can be limited. Further research is thus needed to verify the findings.

A three-fold contribution is made to the understanding of the integrated combination of orchestrating dynamic capabilities in the offshore wind energy sector. Business networks, academia and policy bodies are given a model for enacting the competitive advantage of renewable offshore wind energy for the benefit of society.

Lean manufacturing (LM) has attracted the attention of industries all over the world. Many operation managers have implemented or will be implementing LM because of the benefits reported by other companies or because their customers have demanded it. This paper aims to present a case study of a medium‐sized valve manufacturer in which the decision of implementing LM is made by analyzing the capabilities, practices, tools and techniques of alternative manufacturing systems apart from understanding its effect on the decision areas of the operations department.

A multi attribute decision making (MADM) model, namely, the analytic network process (ANP) has been used for this purpose, which structures the problem related to selection of alternative manufacturing systems in a hierarchical network form. In this problem, it links the performance measures or competitive priorities, decision areas, and the elements with alternatives available to the decision maker and provides a holistic framework for the selection of alternative manufacturing systems to achieve the competitive priorities of the organisation under study.

From an extensive analysis of the results, under the given circumstances, it is evident that implementation of a lean manufacturing system (LMS) is a better alternative, as it would result in overall improvement in the performance of an organisation in comparison with the alternatives.

This paper demonstrated a step‐by‐step approach of the ANP model using a case study of a small‐ and medium‐sized enterprise, which makes it more suitable for managers to learn and adopt such MADM models to support their decisions.

To the author's knowledge, there is no paper available in the existing literature that discusses the application of ANP in the field of LM.

The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions.

Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools.

The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria.

The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular.

This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions.

This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools are applied to evaluate 20 identical manufacturing reshoring scenarios, allowing a comparison of their output. The sensitivity analysis demonstrates the relative importance of the reshoring criteria.

Based on a research project looking at user‐supplier interactions in the context of AMT, attempts to discuss an alternative to the measurement of success, based on a close scrutiny of user‐supplier interaction processes. Closely examines a variety of factors which are both internal and external in nature. Presents some key factors which have been identified as facilitators or inhibitors for the implementation of AMT and also draws some comparisons with key findings from other studies and in similar areas of research.

This study aims to quantify and prioritize the financial performance (FP) determinants in Indian small and medium-sized enterprises (SMEs).

Analytic hierarchy process, a multi-criteria decision-making tool, was used. Experts were allowed to express the opinion regarding the relative importance of each factor and sub-factors by making pairwise comparisons through a structured questionnaire based on a nine-point scale.

Market orientation (0.4529) was perceived as the most important FP determinant followed by the entrepreneurial orientation (0.3382) and corporate social responsibility (0.2089) in SMEs.

This study can be considered as a pilot study because it is confined to Indian SMEs. Future research studies can incorporate the opinion or insights of other stakeholders and may target the SMEs situated in different geographical areas.

The inferences drawn in this study would clarify the conceptual and contextual applicability of competitive strategies in SMEs. Indeed, proposed hierarchy and developed framework would guide the SMEs in strategic planning. Moreover, it would help in repositioning and alignment of core strategies duly with business objectives.

The study represents the foremost step and a unique effort in the area of development of hypothetical model (a hierarchal model) with the framework considered to prioritize the FP determinants in SMEs.

The purpose of this paper is to further clarify the link between the theoretical and practical/real-life implications of a seminal topic in the strategic operations management field: Wickham Skinner’s strategic trade-offs model. This will help researchers, practitioners and students to realize the “everyday life” consequences of this highly influential model.

A theoretical analysis is made of previous research dealing with the strategic trade-offs model. Building on these investigations, a Popperian approach is used to logically develop the model, and the authors demonstrate how it can be empirically tested.

Previous investigations on Skinner’s model mainly focus on trade-offs between competitive capabilities (e.g. cost, quality, delivery) at the firm level. This paper demonstrates that the implications of this model necessarily should include consideration of the strategic trade-offs between the competitive characteristics of products/services that practitioners, students and the general public can observe.

While previous investigations have provided necessary clarifications, no paper has addressed the issue of the existence of strategic trade-offs between the competitive characteristics of products/services. This paper offers guidelines for researchers and practitioners on the way that the strategic trade-offs model can be conceptualized, understood and tested.

This paper aims to examine and describe competitive priorities for service providers in Thailand. This research responds to the need expressed by the Federation of Thai Industries (FTI) for understanding these priorities. This study is part of a planning session on future enhancement of its members' competitiveness.

The survey, developed by Takala, was modified to gather feedback and opinions from top executives of ten service providers. These companies mainly provided technical services to customers. This survey consisted of six criteria or competitive priorities with a total of 31 dimensions. The analysis and computations were on both relative and global weights of the responses, derived from the analytical hierarchy process.

Quality represented the most important competitive priority. Quality was given the highest weight of 36.4 percent, while service provision, customer‐focus, and know‐how were at 20.4, 12.9 and 12.5 percent, respectively. The remaining weights were 9.8 percent for costs, and 8.0 percent for flexibility.

The awareness on competitive priorities was beneficial to the future organizational development of service providers in Thailand. These findings also helped reassure the FTI's current efforts on promoting quality among its members.

The knowledge on competitive priorities potentially helps companies formulate future strategies and action plans. It serves as feedback and a milestone for the FTI's effectiveness on promoting quality among the members in its service‐related clusters.

This paper aims to compare and evaluate competitive priorities between manufacturers and service providers. A concern over the trends of moving manufacturing/production units overseas, while maintaining essential service operations at the companies' headquarters, encouraged senior administrators of the Federation of Thai Industries (FTI) to suggest the study. This study was part of an effort to support FTI members facing separate locations between manufacturing and services operations, and to help evaluate its initiatives' usefulness towards these members.

The survey, developed by Takala, was modified to gather the opinions from top executives of 75 manufacturers and service providers. This survey consisted of six criteria or competitive priorities with a total of 31 dimensions. The basic statistical techniques such as Cronbach's α were applied.

The paper finds that in general, top executives from manufacturing and service operations shared and agreed that delivery/service provision and quality represented their future competitive priorities.

The selection of these two competitive priorities was generally consistent with several previous studies. These findings supported past and current initiatives by the FTI as well as its policy on working together with key public agencies/organizations towards an achievement of excellent quality. Top executives, facing a challenge on separate operations – manufacturing plant in one location while maintaining service operations at another location, could synchronize and coordinate their future efforts such as strategies and plans around delivery/service provision, and quality.

The knowledge on competitive priorities could potentially help companies, regardless of operational types, to further formulate operational strategies, and later develop action plans. This knowledge could also serve as feedback (e.g. usefulness and effectiveness) and a milestone for the FTI's support and initiatives for its members.