Journal ArticleDOI
Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications
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TLDR
This study provides evidence that customer expectations are being satisfied through the digital assistant interaction experience through the survey responses used to examine this research gap.Abstract:
Digital assistants (e.g., Apple’s Siri, Amazon’s Alexa, Google’s Google Assistant) are highly complex and advanced artificial intelligence (AI) based technologies. Individuals can use digital assis...read more
Citations
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Guidelines for choosing between multi-item and single-item scales for construct measurement: A predictive validity perspective
Adamantios Diamantopoulos,Marko Sarstedt,Marko Sarstedt,Christoph Fuchs,Petra Wilczynski,Sebastian Kaiser +5 more
TL;DR: In this article, a comprehensive simulation study is conducted aimed at identifying the influence of different factors on the predictive validity of single versus multi-item measures, such as the average inter-item correlations in the predictor and criterion constructs, the number of items measuring these constructs, as well as the correlation patterns of multiple and single items between the predictor between the criterion constructs.
Journal ArticleDOI
I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents
TL;DR: Analysis of data collected from 370 actual chatbot users reveals that information quality and service quality positively influence consumers’ satisfaction, and that perceived enjoyment, perceived usefulness, and perceived ease of use are significant predictors of continuance intention toward chatbot-based customer service.
Journal ArticleDOI
Shopping intention at AI-powered automated retail stores (AIPARS)
TL;DR: In this paper, the authors examined the antecedents of consumers' intention to shop at AI-Powered Automated Retail Stores and found that the Innovativeness and Optimism of consumers affect the perceived ease and perceived usefulness.
The Future of Retailing
TL;DR: The retail landscape of the 1990s is not for the fainthearted as discussed by the authors, due to demographic changes, economic developments, increased competition, accelerated consolidation, increased polarization of the players, and the importance of technology.
Journal ArticleDOI
Bridging the Divide: A Qualitative Comparison of Information Security Thought Patterns between Information Security Professionals and Ordinary Organizational Insiders
TL;DR: The mindset of insiders regarding their relationship with information security efforts and compares it against the mindset of information security professionals are compared.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Journal ArticleDOI
Deep learning
TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
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