Reconceptualizing value innovation for Industry 4.0 and the Industrial Internet of Things

2019 ◽  
Vol 34 (6) ◽  
pp. 1203-1209 ◽  
Author(s):  
Paul Matthyssens

Purpose Starting from the foundations of value innovation, this paper aims to give an idea of the key drivers and barriers – internal and external to the company – and to provide insight into proven capabilities underscoring the ability to create a flow of new value initiatives. These thoughts are then confronted with the present challenges of Industry 4.0 and the Industrial Internet of Things (IIoT). The confrontation leads to the identification of five capabilities for future-proof value innovation. Design/methodology/approach Literature review based upon the work of the author with more than two decades of experience within value innovation research is included. The review is supplemented with recent literature and an overview of the challenges of Industry 4.0/IIoT, which leads into a confrontation of the present status of value innovation with future requirements. Findings Value innovation remains important specifically for established companies facing path-breaking digital disruption of their existing business models provoked by Industry 4.0 and IIoT. Five key capabilities are suggested to rejuvenate value innovation and prepare it for the Industry 4.0 challenge: capabilities for designing, adapting and marketing product service systems; capabilities for blending digital strategy and processes with value offerings; capabilities for designing and mobilizing ecosystems and integrating these into a value-based IIoT platform; capabilities for combining and integrating technological and value innovation approaches; and capabilities for linking value creation to value capturing. Research limitations/implications This paper is more of a “viewpoint” than an empirically based paper presenting new research findings. It is based on expert judgment and confrontation with extant literature. The outlook indicating five key capabilities needs further empirical corroboration. Practical implications The overview of barriers and the “toolkit” for value innovation (Figure 1) and the five capabilities for future value innovation are expected to be managerially relevant. Originality/value The paper highlights the concept of value innovation, as discussed over the past decades, and links it to recent challenges and opportunities imposed by Industry 4.0 and the IIoT. The concept of value or strategic innovation is still valid but needs a re-conceptualization in view of these developments. The paper provides five capabilities business marketers should develop to perform value innovation in an Industry 4.0 environment.

2021 ◽  
pp. 204388692098158
Author(s):  
Dipankar Chakrabarti ◽  
Rohit Kumar ◽  
Soumya Sarkar ◽  
Arindam Mukherjee

Industrial Internet of Things emerged as one of the major technologies enabling Industry 4.0 for industries. Multiple start-ups started working in the Industrial Internet of Things field to support this new industrial revolution. Distronix, one such Industrial Internet of Things start-up of India, started operations in 2014, when companies were not even aware of Industrial Internet of Things. Distronix started executing fixed-fee projects for implementation of Industrial Internet of Things. They also started manufacturing sensors to support large customers end-to-end in their Industry 4.0 journey. With the advent of public cloud, companies started demanding pay-per-use model for the solution Distronix provided. This posed a major challenge to Distronix as they had developed technology skills focusing fixed-fee customized project delivery for their clients. The situation demanded that they change their business model from individual project delivery to creation of product sand-box with pre-registered sensors and pre-defined visualization layer to support use cases for Industrial Internet of Things implementation in multiple industry sectors. It forced Rohit Sarkar, the 26 years old entrepreneur and owner of Distronix, to upgrade capabilities of his employees and transform the business model to support pay-per-use economy popularized by public cloud providers. The case discusses the challenges Rohit faced to revamp their business model in such an emerging technology field, like, to develop new skills of the technical people to support such novel initiative, reorienting sales people towards pay as use model, developing new concept of plug and play modular product, devising innovative pricing, better alliance strategy and finding out a super early adopter.


2021 ◽  
Vol 58 ◽  
pp. 176-192
Author(s):  
Diego G.S. Pivoto ◽  
Luiz F.F. de Almeida ◽  
Rodrigo da Rosa Righi ◽  
Joel J.P.C. Rodrigues ◽  
Alexandre Baratella Lugli ◽  
...  

Author(s):  
Vishwas D. B. ◽  
Gowtham M. ◽  
Gururaj H. L. ◽  
Sam Goundar

In the era of mechanical digitalization, organizations are progressively putting resources into apparatuses and arrangements that permit their procedures, machines, workers, and even the products themselves to be incorporated into a solitary coordinated system for information assortment, information examination, the assessment of organization advancement, and execution improvement. This chapter presents a reference guide and review for propelling an Industry 4.0 venture from plan to execution, according to base on the economic and scientific policy of European parliament, applying increasingly effective creation forms, and accomplishing better profitability and economies of scale may likewise bring about expanded financial manageability. This chapter present the contextual analysis of a few Industry 4.0 applications. Authors give suggestions coordinating the progression of Industry 4.0. This section briefly portrays the advancement of IIoT 4.0. The change of ubiquitous computing through the internet of things has numerous difficulties related with it.


2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]


Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7160
Author(s):  
Imanol Mugarza ◽  
Jose Luis Flores ◽  
Jose Luis Montero

New generation Industrial Automation and Control Systems (IACS) are providing advanced connectivity features, enabling new automation applications, services and business models in the Industrial Internet of Things (IIoT) era. Nevertheless, due to the extended attack surface and increasing number of cyber-attacks against industrial equipment, security concerns arise. Hence, these systems should provide enough protection and resiliency against cyber-attacks throughout their entire lifespan, which, in the case of industrial systems, may last several decades. A sound and complete management of security issues and software updates is fundamental to achieve such goal, since leading-edge security countermeasures implemented in the development phase may eventually become out-of-date. In this article, a review of the IEC 62443 industrial security standard concerning the security maintenance of IIoT systems and components is given, along with guidelines for the implementation of such processes. As concluded, the security issues and software updates management shall jointly be addressed by the asset owner, service providers and product suppliers. These security processes should also be compatible with the safety procedures established by safety standards.


2018 ◽  
Vol 10 (10) ◽  
pp. 100 ◽  
Author(s):  
Thomas Usländer ◽  
Thomas Batz

The emerging Industrial Internet of Things (IIoT) will not only leverage new and potentially disruptive business models but will also change the way software applications will be analyzed and designed. Agility is a need in a systematic service engineering as well as a co-design of requirements and architectural artefacts. Functional and non-functional requirements of IT users (in smart manufacturing mostly from the disciplines of mechanical engineering and electrical engineering) need to be mapped to the capabilities and interaction patterns of emerging IIoT service platforms, not to forget the corresponding information models. The capabilities of such platforms are usually described, structured, and formalized by software architects and software engineers. However, their technical descriptions are far away from the thinking and the thematic terms of end-users. This complicates the transition from requirements analysis to system design, and hence the re-use of existing and the design of future platform capabilities. Current software engineering methodologies do not systematically cover these interlinked and two-sided aspects. The article describes in a comprehensive manner how to close this gap with the help of a service-oriented analysis and design methodology entitled SERVUS (also mentioned in ISO 19119 Annex D) and a corresponding Web-based Platform Engineering Information System (PEIS).


2021 ◽  
Vol 166 ◽  
pp. 125-139
Author(s):  
Praveen Kumar Malik ◽  
Rohit Sharma ◽  
Rajesh Singh ◽  
Anita Gehlot ◽  
Suresh Chandra Satapathy ◽  
...  

2016 ◽  
Vol 20 (08) ◽  
pp. 1640015 ◽  
Author(s):  
CHRISTIAN ARNOLD ◽  
DANIEL KIEL ◽  
KAI-INGO VOIGT

The Industrial Internet of Things (IIoT) poses large impacts on business models (BM) of established manufacturing companies within several industries. Thus, this paper aims at analyzing the influence of the IIoT on these BMs with particular respect to differences and similarities dependent on varying industry sectors. For this purpose, we employ an exploratory multiple case study approach based on semi-structured expert interviews in 69 manufacturing companies from the five most important German industries. Owing the lack of previous research, our study contributes to the current state of management literature by revealing the following valuable insights with regard to industry-specific BM changes: The machine and plant engineering companies are mainly facing changing workforce qualifications, the electrical engineering and information and communication technology companies are particularly concerned with the importance of novel key partner networks, and automotive suppliers predominantly exploit IIoT-inherent benefits in terms of an increasing cost efficiency.


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