Domain framework for implementation of open IoT ecosystems

Zdravković, Milan; Zdravković, Jelena; Aubry, Alexis; Moalla, Néjib; Guédria, Wided; Sarraipa, João

doi:10.1080/00207543.2017.1385870

Cited by 28 publications

(10 citation statements)

References 32 publications

(20 reference statements)

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“…However, Zdravković et al (2017) highlight that one of the challenges for deploying IoT networks is the lack of public policies and regulatory measures.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Cordeiro

Ordóñez

Ferro

2019

BJO&PM

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Goal: The purpose of this paper is to present a proposal of steps for the implementation of Industry 4.0 in the industrial context, considering management and operational aspects. The reason is to discuss that technological change is accompanied by many organizational implications, in which it is perceivable that some companies already experience strategic and operational turbulence due to the lack of understanding of the this structure’s complexity. Design / Methodology / Approach: This study assumes an exploratory character because the subject of analysis is still in the knowledge-structuring phase. In this sense, data was collected from the literature review. Results: A theoretical proposal for the Industry 4.0 implementation framework is presented in flow format. It is organized in steps that cover the strategic and operational aspects during the implementation flow. Limitations of the investigation: The limitations of this study are directly related to its theoretical nature and the difficulty of finding tools that help in the execution of each proposed stage. Practical implications: However, based on theoretical insights, a trajectory of a transformation model is proposed, thus this research intends to show clearly and direct how companies can introduce the aspects of Industry 4.0 to their own benefit. Originality / Value: In this study, a conceptual model is structured, and it indicates a potential of application because it contributes to support and encourage the adoption of technologies and concepts indicated in the Industry 4.0 literature in a structured way.

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“…However, Zdravković et al (2017) highlight that one of the challenges for deploying IoT networks is the lack of public policies and regulatory measures.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Cordeiro

Ordóñez

Ferro

2019

BJO&PM

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“…Today, some IoT technologies have reached a significant degree of maturity and are available at affordable costs that make the payback of the investment possible within a short time span (Zdravković et al , 2018), therefore encouraging adoption. Mittal et al (2018) envisage the growth of IoT devices reaching the tipping point in 2019, and adding up to more than 125bn units by 2030.…”

Section: Introductionmentioning

confidence: 99%

Internet of things adoption: a typology of projects

Ancarani

Mauro

Legenvre³

et al. 2019

IJOPM

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Purpose The internet of things (IoT) is one of the pillars of Industry 4.0. Prior OM research has conceptualized IoT, and analyzed potential applications and risks and challenges associated with its adoption. However, little empirical evidence exists on the main types of IoT projects undertaken by organizations and on their impacts. The purpose of this paper is to close this gap by searching for a taxonomy of IoT projects that may be associated to different IoT readiness levels. The dynamic capability lens is used as the theoretical background for the analysis. Design/methodology/approach A database of secondary IoT case studies is used to identify an IoT project taxonomy through two-step cluster analysis. The taxonomy obtained allows classifying projects into homogenous groups by technological novelty, IoT capabilities and functional areas of application. ANOVA is then used to test for the association between cluster membership and alternative operational impacts. Finally, the analysis of selected case studies from the database allows throwing light on the nature of the projects typical of each cluster. Findings Five clusters of projects have been identified and positioned along varying degrees of capabilities, novelty and scope. The taxonomy is consistent with a three layer IoT technological readiness model. In turn, the three IoT readiness levels correspond to three managerial capabilities: monitoring, control and optimization. Combining cluster results with detailed case analysis suggests that IoT technological readiness can be interpreted as a dynamic capability enabling knowledge creation that can support competitive advantage. Originality/value This is a first attempt to describe projects firms undertake when adopting IoT. Building on cluster analysis, the study suggests that different IoT readiness levels are needed to reach different impacts.

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“…In contrast, human capital and organisational climate/culture were ranked lowly across all four indicators. Irrespective of this relatively low ranking, it is not in doubt that human capital, as well as the organisational climate and culture, play a crucial role in the success of technological solutions according to Zdravković et al (2018). What is also not in doubt, based on the findings from the interviews, is that many organisations are reluctant to invest in IoT until technological issues such as standardisation, IoT information security risks (Bharathi, 2019), wide area networks, integration and compatibility are resolved.…”

Section: The Role Of Enabling Factors In Achieving Different Outcomesmentioning

confidence: 99%

Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain

Samaranayake

Laosirihongthong

Adebanjo

et al. 2022

IJPPM

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PurposeThis paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.Design/methodology/approachAnalytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.FindingsThe results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.Practical implicationsSupply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.Originality/valueThis research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

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Domain framework for implementation of open IoT ecosystems

Cited by 28 publications

References 32 publications

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Theoretical proposal of steps for the implementation of the Industry 4.0 concept

Internet of things adoption: a typology of projects

Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain

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