Internet of Things (IoT): Is IoT a Disruptive Technology or a Disruptive Business Model?

2015 ◽  
Vol 45 (8) ◽  
pp. 18 ◽  
Author(s):  
D. Narasimha Murthy ◽  
B. Vijaya Kumar
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Disruptive Technology

A case study: How did IoT start-up Distronix change its business model to sustain growth in the pay-per-use economy

2021 ◽  
pp. 204388692098158
Author(s):  
Dipankar Chakrabarti ◽  
Rohit Kumar ◽  
Soumya Sarkar ◽  
Arindam Mukherjee
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Project Delivery ◽  
Public Cloud ◽  
Industrial Internet Of Things ◽  
Start Up ◽  
Industrial Internet ◽  
Fixed Fee

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.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

scholarly journals Internet of Things Enabled Inclusive Business Model for Indian Agriculture

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2901-2903
Keyword(s):  
Information Technology ◽  
Internet Of Things ◽  
Conceptual Model ◽  
Business Model ◽  
Agricultural Practices ◽  
Government Support ◽  
Irrigation Systems ◽  
Indian Agriculture ◽  
Inclusive Business ◽  
The Government

Indian agriculture need to be revamped due to its low productivity. Indian farmers mostly involved in age-old manual agricultural practices and irrigation systems. farming is highly unorganized and fragmented and the productivity is low, Government subsidies and other support are not sufficient to fulfill the gap. Corporates with their strong financial background can formulate a model with the government support to use smart agricultural devices and its integration with information technology. This paper presents the conceptual model to support the farmers in their agricultural practices to provide better livelihood

Digital Retail and How Customer-Centric Technology is Reshaping the Industry

2018 ◽  
pp. 1560-1580 ◽  
Author(s):  
Pablo Penas Franco
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Business Models ◽  
Customer Experience ◽  
Retail Industry ◽  
Brick And Mortar ◽  
Digital Disruption ◽  
Cloud Technologies ◽  
The Impact

This chapter explains the digital disruption that has occurred and is still happening in the retail industry. It explains the relative positions of the world's leading retailers Wal-Mart, Amazon and Alibaba and the business models of the two top online competitors. It focuses on the impact of SMAC (Social, Mobile, Analytics and Cloud) technologies and new retail trends enabled or boosted by technology such as omni-channel, customer experience, internet of things (IoT) and analytics, fulfillment and delivery. It deepens into IT and business model customer-centric design, the role of the customer and the store in the new digital retail and finishes with an assessment of ROI in retail digitization. The chapter concludes the fundamental IT-enabled changes of digital disruption are critical for all players, traditional brick-and-mortar retailers, pure online players and those with both an online and an offline presence.

Business Model

2012 ◽  
pp. 100-131 ◽  
Author(s):  
Arash Najmaei
Keyword(s):  
Business Model ◽  
Mental Model ◽  
Business Models ◽  
Disruptive Innovation ◽  
Future Research ◽  
Disruptive Technology ◽  
New Business ◽  
Managerial Implications ◽  
Established Firms ◽  
Strategic Logic

Today’s world of business is increasingly witnessing exemplary firms which introduce new business models, exploit new markets and disrupt established firms in order to create a unique competitive position. Although the theoretical and conceptual posture of this phenomenon is well grounded and explained in the extant literature on disruptive innovation, little is known about strategic logic of this phenomenon. In other words, the managerial paradigm or cognitive and mental model that underlies the orchestration of micro- and macro-organizational mechanisms of a disruptive move, such as market and technological knowledge, have surprisingly received little attention. In this sense, an analytical review of literature suggests that strategic logic of a disruptive technology can be well presented through the lens of business model (BM) and its innovation. Accordingly, it is argued that business model represents a mental model which underlines activities such as acquisition of market and technological insights, opportunities and requisite actions required for transforming a disruptive idea into a disruptive market movement. This view offers new insights into the study of disruptive phenomenon. It addresses the managerial (i.e. mental model) underpinnings of disruptiveness, instead of market, economical and technological dimensions. Business model innovation (BMI) is a disruptive change in the core logic of value creation and capture. It is a value-revolutionizing framework which explicitly delineates the strategic processes of a disruptive strategy. Thus, it is essentially a paradigm for strategizing the craft of disruptive innovation (technology). Given this view, this chapter conceptually explicates this contour and shows how BMI effectuates a disruptive technological phenomenon by presenting four propositions. Finally theoretical and managerial implications of this view are illuminated in order to furthering the practice and enhancing future research in this growing field of inquiry.

Anticipating Blockchain as Disruptive Technology

2021 ◽  
pp. 708-721
Author(s):  
Mutwalibi Nambobi ◽  
Kanyana Ruth
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
New Technologies ◽  
New Product ◽  
Disruptive Technology ◽  
Senior Managers ◽  
Business Ecosystem ◽  
Distributed Ledger ◽  
Significant Research ◽  
Almost All

Today, people are going to senior managers in almost all industries pitching about their “I have a new product” thing. Disruptive technology transforms a differentiated product that was so expensive and sometimes complicated or sophisticated into a simplified implementation with the applicability of APIs. APIs provide a platform where startup companies can be nitrated to a giant and established companies. Secondly, it changes the business ecosystem to suit all kinds of players small or big. In previous years, only major companies with a lot of resources had access to such technologies. This selfish access to new technologies would make such giants flourish like Amazon, eBay, Google. Blockchain is a form of distributed ledger technology gaining significant research devotion in numerous areas cutting across e-commerce, cryptocurrency, cryptography, logistics, security, finance, and now it is gaining grounds in e-commerce, big data, and internet of things. This chapter introduces the concept of blockchain, applications, and benefits it possesses in various fields related to e-commerce.

Applications of Cloud-Based Internet of Things

2021 ◽  
pp. 65-84
Author(s):  
Nipun R. Navadia ◽  
Gurleen Kaur ◽  
Harshit Bhardwaj ◽  
Taranjeet Singh ◽  
Aditi Sakalle ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Business Model ◽  
Data Driven ◽  
The Internet ◽  
Cloud Infrastructure ◽  
Business Decisions ◽  
Goods And Services ◽  
Cloud Network ◽  
The Internet Of Things

Cloud storage is a great way for companies to fulfill more of their data-driven needs and excellent technology that allows the company to evolve and grow at a faster pace, accelerating growth and providing a flexible forum for developers to build useful apps for better devices to be developed over the internet. The integration of cloud computing and the internet of things creates a scalable, maintainable, end-to-end internet of things solution on the cloud network. By applying the infrastructure to the real universe, it generates sources of insight. Cloud computing and IoT are separate technology but are closely associated and are termed as ‘cloud-based IoT' as IoT has the ability to create intelligent goods and services, gather data that can affect business decisions and probably change the business model to boost success and expansion, and cloud infrastructure can be at the heart of all IoT has to deliver.

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