Conversational agents in business: A systematic literature review and future research directions

Bavaresco, Rodrigo Simon; Silveira, Diórgenes Eugênio da; Reis, Eduardo Souza dos; Barbosa, Jorge Luís Victória; Righi, Rodrigo da Rosa; Costa, Cristiano André da; Antunes, Rodolfo Stoffel; Gomes, Márcio Miguel; Gatti, Clauter; Vanzin, Mariangela; Junior, Saint Clair; Silva, Elton; Moreira, Carlos

doi:10.1016/j.cosrev.2020.100239

Cited by 92 publications

(87 citation statements)

References 20 publications

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“…Chatbots are widely used in various areas, such as business, medical and healthcarefields, and disaster management. Bavaresco et al [11] reviewed recent studies and found that chatbots have been most explored in the commerce domain, covering subareas such as e-commerce, sales, shopping, and flight booking. Sun et al [12] adopted chatbots to personalized recommendation systems for building a virtual sales agent by utilizing deep learning technologies.…”

Section: Related Workmentioning

confidence: 99%

A Chatbot System to Support Mine Safety Procedures during Natural Disasters

Tsai

Chan

et al. 2021

Sustainability

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This study developed a chatbot to improve the efficiency of government activation of mine safety procedures during natural disasters. Taiwan has a comprehensive governmental system dedicated to responding to frequent natural disasters, and the Bureau of Mines has instituted clear procedures to ensure the delivery of disaster alarms and damage reports. However, the labor- and time-consumption procedures are inefficient. In this study, we propose a system framework for disaster-related information retrieval and immediate notifications to support the execution of mine safety procedures. The framework utilizes instant messaging (IM) applications as the user interface to look up information and send messages to announce the occurrence of disaster events. We evaluated the efficiency of the procedures before and after adopting the system and achieved a time-cost reduction of 55.8 min among three types of disaster events. The study has proven the feasibility of adopting novel techniques for decision-making and assures the improvement of the efficiency and effectiveness of the procedure activation.

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Section: Related Workmentioning

confidence: 99%

A Chatbot System to Support Mine Safety Procedures during Natural Disasters

Tsai

Chan

et al. 2021

Sustainability

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“…In conducting an SLR, the identification, evaluation, interpretation, and reporting the research that is associated to a research domain of interest is necessary by a researcher [14] [15] [16]. In this study, the adoption of an evidence-based searching and study selection procedures was done with the aim of improving transparency.…”

Section: Methodsmentioning

confidence: 99%

Data Collection in Sensor-Cloud: A Systematic Literature Review

et al. 2020

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The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensorcloud helps in extending the data processing capability and storage capability of WSNs. Knowing how weak WSNs are with regards to communication ability, how to collect and upload sensory data to the cloud in limited time has become an issue in Sensor-cloud. In the last decade, with increasing interest by researchers in the domain, a considerable amount of research works have been conducted and published in the research domain. The main objective of this study is to systematically review the current research on data collection in Sensor-cloud. Hence, the study also aims at identifying, categorizing, and synthesizing important studies in the field of study. Accordingly, an evidence-based methodology is utilized in this study. By doing so,43 relevant studies were identified and retrieved to answer the formulated research questions. The systematic methodology offers a methodical and rigorous study selection and evaluation process that is repeatable and precise. The result shows that research on data collection in Sensor-cloud is relatively consistent with stable output in the last five years. Ten proposal contributions were identified with System, Framework, and Algorithm being the most used by the selected studies. In conclusion, key research challenges and future research directions were identified and discussed for researchers to propose effective solutions to the existing challenges. Although research on data collection in Sensor-cloud is gaining some traction in recent years, the works in the domain are not sufficient and concrete proposals are needed to improve data collection.

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“…In conducting an SLR, the identification, evaluation, interpretation, and reporting the research that is associated to a research domain of interest is necessary by a researcher [13] [14] [15]. In this study, the adoption of an evidence-based searching and study selection procedures was done with the aim of improving transparency.…”

Section: Methodsmentioning

confidence: 99%