Will artificial intelligence drive the advancements in higher education? A tri-phased exploration DOI
Satish Kumar, Rao Ps, Shubham Singhania

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123258 - 123258

Published: Feb. 9, 2024

Language: Английский

Alexa, what do we know about conversational commerce? Insights from a systematic literature review DOI
Weng Marc Lim, Satish Kumar, Sanjeev Verma

et al.

Psychology and Marketing, Journal Year: 2022, Volume and Issue: 39(6), P. 1129 - 1155

Published: March 8, 2022

Abstract Conversational agents are systems with human‐like features that can be deployed in service settings and fast emerging as the future of online commerce. Considering importance proliferation conversational commerce, it is opportune to take stock field's research from a bird's eye view guide understanding its current progress. In this regard, goal study review performance intellectual structure To do so, conducts comprehensive systematic 722 publications on commerce using Scientific Procedures Rationales for Systematic Literature Reviews protocol collection bibliometric analysis techniques consisting science mapping (e.g., content analysis, keyword co‐occurrence bibliographic coupling). doing reveals publication citation trends, top sources, publications, authors) major theories themes field. The concludes conceptual framework depicting constructs antecedents, mediators, moderators, consequences, enablers) employing delivery, well suggestions research.

Language: Английский

Citations

181

AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior DOI
Hua Jiang, Yang Cheng, Jeongwon Yang

et al.

Computers in Human Behavior, Journal Year: 2022, Volume and Issue: 134, P. 107329 - 107329

Published: May 12, 2022

Language: Английский

Citations

159

Conversational commerce: entering the next stage of AI-powered digital assistants DOI Creative Commons
Janarthanan Balakrishnan, Yogesh K. Dwivedi

Annals of Operations Research, Journal Year: 2021, Volume and Issue: 333(2-3), P. 653 - 687

Published: April 12, 2021

Abstract Digital assistant is a recent advancement benefited through data-driven innovation. Though digital assistants have become an integral member of user conversations, but there no theory that relates perception towards this AI powered technology. The purpose the research to investigate role technology attitude and attributes in enhancing purchase intention assistants. A conceptual model proposed after identifying three major factors namely, perceived anthropomorphism, intelligence, animacy. To test model, study employed structural equation modeling using 440 sample. results indicated anthropomorphism plays most significant building positive built technology-related variables, hypotheses are based on various psychology-related theories such as uncanny valley theory, mind, developmental psychology, cognitive psychology theory. study’s theoretical contributions discussed within scope these theories. Besides contribution, also offers illuminating practical implications for developers marketers’ benefit.

Language: Английский

Citations

152

Artificial intelligence empowered conversational agents: A systematic literature review and research agenda DOI Creative Commons
Marcello M. Mariani, Novin Hashemi, Jochen Wirtz

et al.

Journal of Business Research, Journal Year: 2023, Volume and Issue: 161, P. 113838 - 113838

Published: March 21, 2023

Consumer research on conversational agents (CAs) has been growing. To illustrate and map out in this field, we conducted a systematic literature review (SLR) of published work indexed the Clarivate Web Science Elsevier Scopus databases. Four dominant topical areas were identified through bibliographic coupling. They are 1) consumers’ trust CAs; 2) Natural Language Processing (NLP) developing designing 3) communication with 4) impact CAs value creation for business. We leverage these findings to provide an updated synopsis extant scientific work. Moreover, draw framework whereby identify the: drivers motivators adoption engagement outcomes CA both users organizations. Finally, develop agenda future research.

Language: Английский

Citations

146

Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants DOI
Eugene Cheng-Xi Aw, Garry Wei–Han Tan, Tat‐Huei Cham

et al.

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 180, P. 121711 - 121711

Published: April 23, 2022

Language: Английский

Citations

139

‘What lies behind the filter?’ Uncovering the motivations for using augmented reality (AR) face filters on social media and their effect on well-being DOI
Ana Javornik, Ben Marder, Jennifer Brannon Barhorst

et al.

Computers in Human Behavior, Journal Year: 2021, Volume and Issue: 128, P. 107126 - 107126

Published: Dec. 13, 2021

Language: Английский

Citations

138

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value DOI Open Access
Jiwang Yin, Xiaodong Qiu

Sustainability, Journal Year: 2021, Volume and Issue: 13(10), P. 5671 - 5671

Published: May 18, 2021

(1) Background: AI technology has been deeply applied to online shopping platforms provide more accurate and personalized services for consumers. It is of great significance study the different functional experiences consumers improve current application status technology. (2) Method: Based on “SOR” model, this divides experienced by into three dimensions: accuracy, insight, interaction experience. The perceived value taken as mediating variable from prospect utility hedonic value. This article uses empirical research methods analyze effect dimensions experience internal influence mechanism consumers’ purchase intention. (3) Results: 1. marketing each have a significant positive impact value; 2. Both obtained an can promote formation intention; 3. was better than at promoting

Language: Английский

Citations

115

I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service DOI Creative Commons
Eleonora Pantano, Daniele Scarpi

Journal of Service Research, Journal Year: 2022, Volume and Issue: 25(4), P. 583 - 600

Published: May 24, 2022

This research draws upon the increasing usage of AI in service. It aims at understanding extent to which systems have multiple intelligence types like humans and if these arouse different emotions consumers. To this end, uses a two-study approach: Study 1 builds evaluates scale for measuring types. 2 consumers’ emotional responses intelligences. The findings provide measurement evaluating artificial against human ones, thus showing that intelligences are configurable, describable, measurable (Study 1), influence positive negative 2). also demonstrate consumers display emotions, terms happiness, excitement, enthusiasm, pride, inspiration, sadness, fear, anger, shame, anxiety, attachment, satisfaction, intention when interacting with Our characteristics while providing guidance future development AI-based more similar

Language: Английский

Citations

102

The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA DOI
Weiyao Kang, Bingjia Shao

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 70, P. 103130 - 103130

Published: Sept. 13, 2022

Language: Английский

Citations

87

Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing enterprises DOI

Tian Hong-na,

Liyan Zhao,

Yunfang Li

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 194, P. 122732 - 122732

Published: July 14, 2023

Language: Английский

Citations

86