Tatiana KHVATOVA
Professor 

Tatiana KHVATOVA Associate Professor - InVent, emlyon

 ” A good publication is always close to the heart

Tatiana KHVATOVA
Professor

As a researcher, I am committed to exploring the influence of emerging technologies, such as artificial intelligence and augmented reality, on various societal domains including education, healthcare, consumer behavior, business models, and entrepreneurial decision-making. My primary focus lies in investigating individuals’ acceptance of intelligent systems and the challenges posed by human-computer interactions. My research methodology integrates empirical studies and computational modeling. I am passionate about bridging the gap between theory and practice, striving to produce research that not only contributes to academic knowledge but also has real-world implications in various fields – new digital business models, education, healthcare.

khvatova@em-lyon.com

SELECTED PUBLICATIONS

Exploring the Role of AI in B2B Customer Journey Management: Towards an IPO Model<br />

Exploring the Role of AI in B2B Customer Journey Management: Towards an IPO Model

Artificial intelligence is becoming a pervasive technology and companies are increasingly urged to adopt and implement it in order to thrive and innovate. While much has been researched on the role AI can play in B2C settings, a research gap exists when it comes to B2B which is characterised by higher complexity, increasing number of players, and larger volumes of data. In such a context, an emerging issue deals with the possibility to understand how companies can leverage AI to aptly manage the customer journey. This aspect touches on many organizational activities, so managers must be aware of existing solutions, process implications, and potential outcomes. This paper presents an empirical study of 61 Indian B2B companies and provides an input-process-output framework to help managers understand and profit from AI solutions while effectively managing the customer journey. We add value to literature on using AI to improve the customer journey in B2B settings. The developed IPO model can be used as a roadmap for introducing AI in managing customer journeys as well as a strategic instrument for organisational change and design.

Paths toward advanced service-oriented business models

Paths toward advanced service-oriented business models: A configurational analysis of small- and medium-sized incumbent manufacturers

 

The present article contributes to the theory of Business Model Innovation by incumbent firms via digital servitization. Our research explores the conditions affecting manufacturers’ ability to innovate their business models by developing and supplying advanced, digitally-based services. The authors performed a Qualitative Comparative Analysis via a qualitative investigation of the novel business models adopted by 19 Italian small- and medium-sized incumbent manufacturers. Our study found a series of theoretically relevant causal factors for the targeted outcome variable: size and investments, customer intimacy, and external service suppliers are crucial paths for developing successful digitally-based advanced services. The findings suggest three managerial implications: first, managers must capitalise on corporate knowledge and assets, mapping and leveraging useful people and technologies. Second, they should seek external service providers related to technology and strategy/organisation to help them update the value proposition. Third, they must build and foster customer intimacy and capitalise on key customers, either leveraging the extant sales/field service structures or envisioning new direct data exchange channels.

     

    OTHER PUBLICATIONS

     Prior knowledge, industry 4.0 and digital servitization. An inductive framework, Technological Forecasting and Social Change, 171, 120963

    (Paiola, M., Schiavone, F., Khvatova, T., & Grandinetti, R. – 2021)

     Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost, Technological Forecasting and Social Change, Vol 163, 120437

    (Ben Arfi, W., Ben Nasr, I., Khvatova, T. & Ben Zaied, Y. – 2021)

    Big Data is watching YOU:
    Opportunities & challenges from the perspective of young adult consumers in Russia, Journal of Marketing Management, Vol 33, Iss 9-10, p. 719-741.

    (Lichy, J., Kachur, M., Khvatova, T. – 2017)