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The Digital Transformation of a Business Model: The Impact of AI Technologies on a Translation Firm (A-D)

Cas 9 40 2024 002A-D
Cas publié dans la Revue internationale de cas en gestion, vol. 22, no 1
Langues : 
  • Anglais
Mots clés: 
  • Business model innovation,
  • AI,
  • LLM,
  • Digital transformation,
  • Organizational change,
  • Professional services
Année de production : 
2024
Date de publication : 
2024-02-16
Notes pédagogiques incluses : 
Oui
Nombre de parties constituant ce cas : 
4
Résumé

This four-part case outlines the transformation of Alexa Translations triggered by its acquisition of an AI firm. The preface sets the stage, providing information about founder Gary Kalaci’s vision and motivation. It also explains Alexa Translations’ business model prior to the acquisition of Yappn Inc. Chapter 1 begins with Kalaci’s 2016 decision to acquire Yappn Inc. and ends in 2018, when the deal was finalized. Chapter 2 covers 2019 to 2022, a period when Alexa Translations experienced significant growth following the launch of Alexa.ai; it ends with the prospect of a new vision. The third and final chapter provides an update on Alexa Translations as of October 2023. Just one year earlier, the translation industry had braced for yet another significant disruption: the launch of ChatGPT. However, that new technology had benefitted Alexa Translations, positioning it for further growth. Second, in keeping with the strategic role of Alexa.ai, the company would be restructuring its AI side to create a product team consisting of the organization’s top talent, who would be tasked with ensuring that the platform remained competitive. Although this news appeared to have been welcomed by most employees, a new junior translator had his doubts.

Discipline principal : 
Management  - Stratégie
Discipline secondaire : 
Technologies de l'information
Secteurs d'activité : 
  • Services professionnels, scientifiques et techniques
Provenance : 
HEC Montréal
Type : 
Cas traditionnel (Cas descriptif)
Type de données pour la production du cas : 
Données réelles, non publiques, non maquillées
Lieu de l'événement : 
Canada and world
Année de début de l'événement : 
2016
Année de fin de l'événement : 
2023
Taille de l'entreprise : 
Petite et moyenne entreprise
Objectifs pédagogiques
  • Map evolving interdependencies in a business model while identifying elements that represent continuity
  • Analyze how evolving interdependencies are associated with organizational change and growth and whether that constitutes digital transformation
  • Understand how digitizing and/or digital transformation impacts a firm’s value proposition
  • Use a common analysis tool (business model canvas) to facilitate the comparative analysis and justify a strategic decision.