scholarly journals Behind Clubhouse’s Trajectory and Phenom

2021 ◽  
Author(s):  
Nora Chen
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Research Paper ◽  
Waiting Lists ◽  
Diverse Range ◽  
Successful Business ◽  
Similar Kind

Clubhouse is an auditory app that allows users to host various rooms surrounding a diverse range of topics from Artificial Intelligence to Philosophy. Along with its educational and serene approach, it is known for its popularity amongst celebrities, including Elon Musk, Mark Zuckerburg, CEO of Shopify, and its elusive invite and ios-only pass into gaining access into Clubhouse. Waiting lists are available in the case of not achieving an invite, but to further speed the process, various sellers on eBay, Reddit, Twitter, etc., charging invites from $10-$200. This research paper covers the phenomenon of Clubhouse and the emergence of audio-only rooms, along with a hypothesis of why Clubhouse and other apps of a similar kind are experiencing a harsh downfall despite its seemingly successful business model.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

scholarly journals Secondary Business Model Innovation in Emerging Economies

2021 ◽  
pp. 1-30
Author(s):  
Sonia Mehrotra ◽  
S. Ramakrishna Velamuri
Keyword(s):  
Organizational Learning ◽  
Business Model ◽  
Emerging Economies ◽  
Business Models ◽  
Business Model Innovation ◽  
Street Vendors ◽  
China And India ◽  
Successful Business ◽  
Quick Service

ABSTRACT We study two quick-service restaurant (QSR) chains based on regional ethnic foods that were launched in China and India. The products that these QSR ventures offered had hitherto been sold by fragmented street vendors who typically operated single outlets. Inspired by the successful business models of international QSR brands, these entrepreneurs developed business models to popularize their chosen regional ethnic foods in multiple new regions and grew their organizations to 1,400 and 300 outlets in China and India, respectively. We build on the recently coined concept of ‘secondary’ business model innovation (SBMI), which is based on inter-organizational learning, break down its constituents into creative and imitative, specify the mechanisms through which it is achieved, and propose that it is a specific case of the more general construct of creative imitation.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

scholarly journals Research on the impact of artificial intelligence on the business model of an organization

E-Management ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 26-36
Author(s):  
A. A. Dashkov ◽  
Yu. O. Nesterova
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technologies ◽  
Business Model ◽  
Digital Transformation ◽  
Successful Implementation ◽  
New Ways Of Working ◽  
Use Of Technology ◽  
Physical Assets ◽  
The Moment ◽  
The Impact

The digital transformation of our world and the inevitable interaction between people, digital technologies and physical assets create a rapidly changing and complex environment that requires organizations to be more flexible, better fit and ready to accept new ways of working. Businesses are coming to realize the need for change to operate successfully in the digital age. In the period of global digitalization, information and communication technologies are one of the most important aspects of existence for a business, which makes it more efficient, efficient and allows you to respond quickly to a rapidly changing external environment, as well as customer needs. At the moment, there is a high interest in the possibilities of artificial intelligence for use in business tasks in the world, as there are already examples of successful implementation, when Artificial Intelligence and machine learning radically change the way they work and increase the profit of organizations in different countries.The purpose of this study is to consider how artificial intelligence affects the value proposition and how the elements of the business model change when using this technology. The paper gives the existing examples of the use of technology, the consequences of its application and the emerging prospects for the use of Artificial Intelligence as one of the advanced technologies of digital transformation.

scholarly journals Applicability of Artificial Intelligence in Decision-Making for Land Forces

2021 ◽  
Vol 30 (2) ◽  
pp. 039-054
Author(s):  
Paul Tudorache
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Research Methodology ◽  
Research Paper ◽  
The Other ◽  
Military Operations ◽  
Other Hand ◽  
The Military

Similar to other fields, also in the military one, the Artificial Intelligence has become recently an evident solution for optimizing specific processes and activities. Therefore, this research paper aims to highlight the potential uses of Artificial Intelligence in the military operations carried out by the Land Forces. In this regard, analysing the framework of the operations process and applying suitable research methodology, the main findings are related to AI’s contributions in optimizing commander’s decisions during the progress of planning and execution. On the other hand, picturing the AI upgrated combat power of the Land Forces is another significant result of this study.

M-Pesa: an evolution in organisational strategy

2015 ◽  
Vol 5 (8) ◽  
pp. 1-11
Author(s):  
Mariam Cassim ◽  
Linda Ronnie
Keyword(s):  
Change Management ◽  
Business Model ◽  
Financial Services ◽  
Critical Role ◽  
Business Environment ◽  
Subject Area ◽  
Operating Conditions ◽  
Content Type ◽  
Successful Business

Subject area Change Management. Study level/applicability Postgraduate business courses, including MBA courses in change management and human resource management. Case overview This case study emphasises how important it is for organisations operating in today's turbulent and rapidly changing business environment to have an emergent approach to change. It focuses on the dilemmas faced by Hemmanth Singh, the newly appointed Managing Executive responsible for Mobile Commerce at Vodacom South Africa. Singh is responsible for the execution of the new strategy into financial services, the relaunch of M-Pesa into the South African market being the immediate task. The case sets the context for the relaunch of M-Pesa, and the reader is introduced to some of the limitations and challenges experienced by the company when trying to replicate a successful business model from one market to another, especially after an unsuccessful initial launch. Expected learning outcomes After reading and analysing the information contained in the case study and appendices, students should be able to evaluate the critical role that leadership needs to play when introducing and implementing a change initiative at an organisation that is stimulated by evolving external market conditions; understand the importance of adopting an emergent approach to change in current operating conditions; identify the factors that contribute to or hinder the creation and sustainability of an adaptive culture within an organisation; and appreciate the challenges of attempting to replicate a successful business model from one market into another. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes.

scholarly journals Financial Intermediation and Technology

2020 ◽  
Vol 20 (161) ◽  
Author(s):  
Arnoud Boot ◽  
Peter Hoffmann ◽  
Luc Laeven ◽  
Lev Ratnovski
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Business Model ◽  
Financial Services ◽  
Financial Intermediation ◽  
Communication Channels ◽  
Policy Implications ◽  
Digital Platforms ◽  
Balance Sheets ◽  
Hard Information

We study the effects of technological change on financial intermediation, distinguishing between innovations in information (data collection and processing) and communication (relationships and distribution). Both follow historic trends towards an increased use of hard information and less in-person interaction, which are accelerating rapidly. We point to more recent innovations, such as the combination of data abundance and artificial intelligence, and the rise of digital platforms. We argue that in particular the rise of new communication channels can lead to the vertical and horizontal disintegration of the traditional bank business model. Specialized providers of financial services can chip away activities that do not rely on access to balance sheets, while platforms can interject themselves between banks and customers. We discuss limitations to these challenges, and the resulting policy implications.

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