Exploring New Research Frontiers in Offshoring Knowledge and Service Processes

This paper provides an introduction to a special issue on the offshoring of service and knowledge work. Brief descriptions are provided for 13 papers that fall into three categories including strategic and organizational issues, global and knowledge supply chain issues, and tactical issues. The intent of this special issue was to provide a venue for presenting numerous perspectives on the operational and cross‐disciplinary challenges and opportunities in the area of service and knowledge offshoring

Technology Roadmapping for Commercializing Strategic Innovations

In the increasingly globalized world economies, a variety of drivers define the market and regulatory contexts for commercializing the strategic innovations that provide significant competitive advantage in the near-term and long-term future. In this study we examine how technological roadmapping integrates these strategic contextual factors with the organizational capabilities and resources of the firm to commercialize strategic innovations. This is done by first examining four roadmapping case-studies: (1) at Motorola, (2) at Sandia National laboratories, (3) the National and International Roadmaps for Semiconductors, and (3) nanotechnologies. A five stage process is proposed for commercializing strategic innovations. Finally, managerial implications and potential future research are discussed.En las crecientes economías del mundo globalizado, una variedad de factores definen al mercado y el contexto regulatorio para la comercialización de innovaciones estratégicas que proveen ventajas competitivas significantes a corto y largo plazo. En éste estudio se examinan como la generación de mapas tecnológicos integran estos factores contextuales con las capacidades organizacionales y los recursos de la compañía para comercializar las innovaciones estratégicas. El estudio se realizó examinando 4 casos de mapas tecnológicos: (1) Motorota, (2) Laboratorios Nacionales Sandia, (3) Los mapas Internacionales para Semiconductores y (4) Nanotecnologías. Un procedimiento consistente en 5 etapas es propuesto para la comercialización de innovaciones estratégicas. Finalmente se discuten, las implicaciones de gestión y el desarrollo de un futuro tema de investigación.In the increasingly globalized world economies, a variety of drivers define the market and regulatory contexts for commercializing the strategic innovations that provide significant competitive advantage in the near-term and long-term future. In this study we examine how technological roadmapping integrates these strategic contextual factors with the organizational capabilities and resources of the firm to commercialize strategic innovations. This is done by first examining four roadmapping case-studies: (1) at Motorola, (2) at Sandia National laboratories, (3) the National and International Roadmaps for Semiconductors, and (3) nanotechnologies. A five stage process is proposed for commercializing strategic innovations. Finally, managerial implications and potential future research are discussed

Economies of collaboration in build-to-model operations

This is the final version. Available from the publisher via the DOI in this record.The direct-from-model and tool-less manufacturing process of 3D printing (3DP) embodies a general-purpose technology, facilitating capacity sharing and outsourcing. Starting from a case study of a 3DP company (Shapeways) and a new market entrant (Panalpina), we develop dynamic practices for partial outsourcing in build-to-model manufacturing. We propose a new outsourcing scheme, bidirectional partial outsourcing (BPO), where 3D printers share capacity by alternating between the role of outsourcer and subcontractor based on need. Coupled with order book smoothing (OBS), where orders are released gradually to production, this provides 3D printers with two distinct ways to manage demand variability. By combining demand and cost field data with an analytical model, we find that BPO improves 3DP cost efficiency and delivery performance as the number of 3DP firms in the network increases. OBS is sufficient for an established 3D printer when alternatives to in-house manufacturing are few, or of limited capacity. Nevertheless, OBS comes at the cost of reduced responsiveness, whereas BPO shifts the cost and delivery performance frontier. Our analysis shows how BPO combined with OBS makes 3DP companies more resilient to downward movements in both demand and price levels.Innovate UKEngineering and Physical Sciences Research Council (EPSRC

Testing The Limits: A Robustness Analysis Of Logistic Growth Models For Life Cycle Estimation During The COVID-19 Pandemic

The semiconductor industry operates in a dynamic environment characterized by rapid technological advancements, extensive research and development investments, long planning horizons, and cyclical market behavior. Consequently, staying vigilant to technological disruptions and shifting trends is crucial. This is especially challenging when external shocks seriously affect supply chain processes and demand patterns. Particularly, recent events, such as the COVID-19 pandemic, the ongoing Russian invasion of Ukraine, and high consumer price inflation impacting the semiconductor cycle emphasize the need to account for these influences. In this context, we analyze growth patterns and life cycles of various technologies within the semiconductor industry by estimating logistic growth models. The logistic growth model was originally formulated to describe population dynamics. However, many processes outside the discipline of ecology share the fundamental characteristics of natural growth: self-proportionality and a self-regulating mechanism. Out of the different applications, two are of particular interest in the context of strategic business decisions: (1) modeling innovation diffusion and technological change to predict the mid- to long-term growth of a market, and (2) modeling of product life cycles. To obtain market growth and life cycle predictions, we apply the logistic growth model to forecast cumulative revenues by technology over time. This model treats the analyzed technology as a closed system. However, in practice, external shocks are the norm. To analyze the robustness to such external shocks, we compare technology life cycle estimates derived from logistic growth models before and after the effects of COVID-19 became evident for a wide array of semiconductor technologies. We find that the impact of COVID-19 on these life cycle estimates is mixed, but the median change is low. Our findings have implications for the application of logistic growth models in strategic decision-making, helping stakeholders navigate the complexities of technological innovation, diffusion, and market growth

Qualitative Case Studies in Operations Management: Trends, Research Outcomes, And Future Research Implications

Our study examines the state of qualitative case studies in operations management. Five main operations management journals are included for their impact on the field. They are in alphabetical order: Decision Sciences, International Journal of Operations and Production Management, Journal of Operations Management, Management Science, and Production and Operations Management. The qualitative case studies chosen were published between 1992 and 2007. With an increasing trend toward using more qualitative case studies, there have been meaningful and significant contributions to the field of operations management, especially in the area of theory building. However, in many of the qualitative case studies we reviewed, sufficient details in research design, data collection, and data analysis were missing. For instance, there are studies that do not offer sampling logic or a description of the analysis through which research out-comes are drawn. Further, research protocols for doing inductive case studies are much better developed compared to the research protocols for doing deductive case studies. Consequently, there is a lack of consistency in the way the case method has been applied. As qualitative researchers, we offer suggestions on how we can improve on what we have done and elevate the level of rigor and consistency

Understanding new venture market application search processes: A propositional model.

Technology-based ventures are confronted with complex decisions on how to apply their technology platform in highly uncertain and ambiguous market environments. Based on four case studies, a dynamic decision model is developed in which we highlight the similarities between the search and learning processes in venture development contexts and in new product development contexts. This entrepreneurial search and learning process is understood as consisting of sequences of episodes – characterized by uncertainty and ambiguity - and scripts – i.e. approaches to market application search. The model implies that a venture's adaptability - i.e. its ability to move efficiently and effectively between these episodes and their related scripts - influences its survival.Case studies; Decision; Decisions; Learning; Market; Model; Processes; Product; Product development; Research; Sequences; Similarity; Studies; Technology; Uncertainty;

The role of industry studies and public policies in production and operations management

The research domain Industry Studies and Public Policy (IS&PP) seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of research studies. These details can be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers — 85 papers published in the $\textit{Production and Operations Management}$ (POM) journal and 95 papers published in related journals between 1992 and 2014. Our analysis of the sample dataset and examination of exemplar papers provide four findings. First, studies in different industries emphasize different themes of operational decisions. This difference in emphasis reveals potential research opportunities, especially for conducting inter-industry studies. Second, our analysis reveals a shift in focus over time. Earlier studies contain a mix of benchmarks and inter-industry comparisons, while later studies tend to be context-specific, intra-industry studies. Third, we report on empirics→ analytics→ empirics cycles that reveal gaps for building novel theories. Finally, we observe that the relationship between POM decisions and public policy is bi-directional. This highlights the need to jointly examine operational decisions with policy considerations, especially in information goods, healthcare, sustainable operations and high-tech manufacturing industries

The role of industry studies and public policies in production and operations management

The research domain Industry Studies and Public Policy (IS&PP) seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of research studies. These details can be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers — 85 papers published in the $\textit{Production and Operations Management}$ (POM) journal and 95 papers published in related journals between 1992 and 2014. Our analysis of the sample dataset and examination of exemplar papers provide four findings. First, studies in different industries emphasize different themes of operational decisions. This difference in emphasis reveals potential research opportunities, especially for conducting inter-industry studies. Second, our analysis reveals a shift in focus over time. Earlier studies contain a mix of benchmarks and inter-industry comparisons, while later studies tend to be context-specific, intra-industry studies. Third, we report on empirics→ analytics→ empirics cycles that reveal gaps for building novel theories. Finally, we observe that the relationship between POM decisions and public policy is bi-directional. This highlights the need to jointly examine operational decisions with policy considerations, especially in information goods, healthcare, sustainable operations and high-tech manufacturing industries

Investigation of strategic capacity issues in the aerospace sector

The business environment is changing fast and radically. Traditional capacity planning has limitations in today’s dynamic environments, particularly from a strategic perspective in the aerospace sector. This document sets out to identify the unique characteristics of the aerospace industry and compare the traditional views of capacity planning and modern concepts in SCP relevant to the sector. Key findings are summarised from an analysis of the literature on strategic capacity planning. The importance of considering demand uncertainty, technology uncertainty and supply uncertainty is highlighted. Two case studies in the aero- engine sector are presented. A collaborative virtual organisation requires Strategic Capacity Planning (SCP) that focuses not only on economies of scale but also on coordination, flexibility and responsiveness. An integrated framework for addressing SCP in the aerospace industry is presented