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Enterprise chatbots in managers' perception: a strategic framework to implement successful chatbot applications for business decisions

Marco Savastano (Management Department, Faculty of Economics, Sapienza University of Rome, Rome, Italy)
Isabelle Biclesanu (Faculty of Business Administration in Foreign Languages, Bucharest University of Economic Studies, Bucharest, Romania)
Sorin Anagnoste (Faculty of Business Administration in Foreign Languages, Bucharest University of Economic Studies, Bucharest, Romania)
Francesco Laviola (Management Department, Faculty of Economics, Sapienza University of Rome, Rome, Italy)
Nicola Cucari (Management Department, Faculty of Economics, Sapienza University of Rome, Rome, Italy)

Management Decision

ISSN: 0025-1747

Article publication date: 9 April 2024

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Abstract

Purpose

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

Design/methodology/approach

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

Findings

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

Practical implications

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Originality/value

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

Keywords

Citation

Savastano, M., Biclesanu, I., Anagnoste, S., Laviola, F. and Cucari, N. (2024), "Enterprise chatbots in managers' perception: a strategic framework to implement successful chatbot applications for business decisions", Management Decision, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MD-10-2023-1967

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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