{"title":"Uncertainty management in engineering-service development: the role of organisational capabilities","authors":"Tabea Ramirez Hernandez, M. Kreye","doi":"10.1108/ijopm-08-2020-0559","DOIUrl":null,"url":null,"abstract":"PurposeEngineering-service (ES) development is characterised by high uncertainty, the management of which is crucial for the success of the offering during the provision of ESs. This paper studies suitable organisational capabilities to address different uncertainty types.Design/methodology/approachBased on conceptualisation of individual uncertainty types and organisational capabilities, this study investigated their empirical links through six case studies of ES development projects. The data consisted of 64 semi-structured interviews, 10 weeks of observational data and 166 supporting documents describing the projects.FindingsThe findings provide empirical evidence for four distinct uncertainty types (environmental, organisational, technical and relational uncertainty) and the organisational capabilities needed for addressing them. The authors identified unique dominant capabilities for each uncertainty type (commercialisation for environmental uncertainty, coordination for organisational and technical uncertainty, and relational capabilities for relational uncertainty), which were complemented with supporting capabilities, including project management and integration.Originality/valueThis study contributes to the service operations literature by merging previously separate research streams on uncertainty and organisational capabilities in ESs and servitization. Through this merge, this study offers a more coherent understanding by extending previously sporadic insights into specific links between individual uncertainty types and individual capabilities.","PeriodicalId":14234,"journal":{"name":"International Journal of Operations & Production Management","volume":" ","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Operations & Production Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijopm-08-2020-0559","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 4
Abstract
PurposeEngineering-service (ES) development is characterised by high uncertainty, the management of which is crucial for the success of the offering during the provision of ESs. This paper studies suitable organisational capabilities to address different uncertainty types.Design/methodology/approachBased on conceptualisation of individual uncertainty types and organisational capabilities, this study investigated their empirical links through six case studies of ES development projects. The data consisted of 64 semi-structured interviews, 10 weeks of observational data and 166 supporting documents describing the projects.FindingsThe findings provide empirical evidence for four distinct uncertainty types (environmental, organisational, technical and relational uncertainty) and the organisational capabilities needed for addressing them. The authors identified unique dominant capabilities for each uncertainty type (commercialisation for environmental uncertainty, coordination for organisational and technical uncertainty, and relational capabilities for relational uncertainty), which were complemented with supporting capabilities, including project management and integration.Originality/valueThis study contributes to the service operations literature by merging previously separate research streams on uncertainty and organisational capabilities in ESs and servitization. Through this merge, this study offers a more coherent understanding by extending previously sporadic insights into specific links between individual uncertainty types and individual capabilities.
期刊介绍:
The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management.
Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.