The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies

Jæger, Bjørn; Halse, Lise Lillebrygfjeld

doi:10.1007/978-3-319-66923-6_17

Cited by 28 publications

(14 citation statements)

References 5 publications

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“…Generally, maturity aims to provide an overview of specific levels of a process so as to examine a reference-point to implement, e.g. improvements or new technology (Jaeger and Halse, 2017). While maturity assessments aim at capturing the as-is state, readiness occurs before that state arises (Schumacher et al, 2016).…”

Section: Backshoring Readinessmentioning

confidence: 99%

Backshoring readiness

Nujen

Mwesiumo

Solli‐Sæther

et al. 2019

JGOSS

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Purpose The purpose of this study is to delineate key aspects of backshoring readiness and discuss how such aspects contribute to a smooth shift-back from global sourcing operations. It aims to answer the following questions: which factors constitute backshoring readiness and how these factors affect the backshoring transition. Design/methodology/approach Based on theory departure from the organizational readiness field and the emerging field on backshoring, a conceptual model is developed. A multiple qualitative case study is then conducted to exemplify the backshoring readiness factors delineated in the study. Findings The study indicates that due to previous outsourcing, limitations concerning the availability of firms’ capabilities are affected by ownership structures and that backshoring appears to be time-sensitive. The study delineates three key aspects of backshoring readiness and proposes a comprehensive understanding of readiness as an important construct to enhance successful backshoring. Research limitations/implications The findings are limited by the nature of this conceptual study, the restriction to a high-cost context and the small number of cases. Therefore, conclusions and proposed recommendations need to be further investigated in preferably larger samples of case studies. Practical implications By introducing contextual variables that go beyond traditional cost considerations, this work should be of special interest for both practitioners and academics, because the absorptive capacity for the exploitation of cutting-edge knowledge is globally scarce and hence rather expensive in Western countries compared with traditionally low-cost countries. Another practical contribution of this study is the conceptual backshoring readiness framework itself, as it can guide firms acquainting themselves with the resource availability in their home environment. Originality/value The research defines key resources needed to facilitate backshoring readiness in a conceptual framework developed from literature, which is then exemplified by a case study. This framework conceptualizes backshoring readiness as aspects of requirements to knowledge, technology and supplier infrastructures. Furthermore, the readiness framework developed provides firms and their managers with six recommendations that can enable a rigorous evaluation of a firm’s readiness to embark on backshoring and reflect on the aspect of fitness of its current strategies.

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Section: Backshoring Readinessmentioning

confidence: 99%

Backshoring readiness

Nujen

Mwesiumo

Solli‐Sæther

et al. 2019

JGOSS

Self Cite

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“…A comparison of the models reveals three publication streams (Table I). The first group of authors concentrates on IT architecture and/or capabilities, specifically with regard to the IoT (Katsma et al , 2011; Weber et al , 2017; Jæger and Halse, 2017). The second group that consists of only one contribution (Westermann et al , 2016) focuses specifically on CPS.…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

Development of an Industry 4.0 maturity model for the delivery process in supply chains

Asdecker

Felch

2018

JM2

103

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Purpose-This paper aims to show that current Industry 4.0 maturity models primarily focus on manufacturing processes. Until now, research has been lacking with regard to outbound logistics, that is, the delivery process. This paper develops such a model. Design/methodology/approach-Methodologically, this paper is grounded in design science research (DSR) and rigorously follows the model development guidelines presented by De Bruin et al. (2005). This work builds on current maturity models and original empirical research to populate and test the model. Findings-The model appears to be applicable to describing the status quo of the digitization efforts in outbound logistics, developing a corporate vision for delivery logistics excellence and providing guidance on the development path. Research limitations/implications-Thus far, the model has been applied only for a development stakeholder. For further validation, the authors are currently working on additional case studies to demonstrate the model's applicability. Practical implications-The developed model provides guidance for the digitization of an important value-adding activity in supply chain management: the delivery process. Originality/value-To the authors' knowledge, the proposed model is the first to explicitly consider the delivery process; therefore, it complements available approaches that focus on the manufacturing process. Moreover, the results show that the widely used Supply Chain Operations Reference model can serve as the basis for additional process maturity models.

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“…For example, Jaeger and Halse [26] proposed an IoT maturity scorecard that can assist companies in the manufacturing industry in adopting IoT technologies. Similarly, Tan et al [27] developed a MM with a special focus on the manufacturing shop-floor environment.…”

Section: Related Workmentioning

confidence: 99%

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

Stoiber¹,

Schönig²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Companies of all industrial sectors are increasingly integrating Internet of Things (IoT) technology into their processes to realize a data-driven transformation of their businesses. The generation and use of comprehensive process data in real-time and the connection of process entities enables an improvement and beneficial redesign of business processes of all kinds. However, a goal-oriented exploitation of IoT technology for digital transformation and Business Process Improvements (BPI) is challenging due to the complexity of integrating IoT into existing processes. Companies require appropriate guidance to evaluate and scope their initiatives regarding IoT-based BPI. We therefore propose a holistic IoT-based BPI Maturity Model that assists organizations to determine their current state and get assistance to optimize or develop specific capabilities. This paper provides an overview about the structured development process of the maturity model comprising an extensive literature review and a six-round Delphi study.

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The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies

Cited by 28 publications

References 5 publications

Backshoring readiness

Backshoring readiness

Development of an Industry 4.0 maturity model for the delivery process in supply chains

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

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