Journal ArticleDOI
Employees' perceptions of chatbots in B2B marketing: Affordances vs. disaffordances
Xiaolin Lin,Bin Shao,Xuejun Wang +2 more
TLDR
This article investigated the impacts of chatbots' technical features on employees' perceptions (namely, chatbot effectiveness and discomfort with using chatbots) in the context of B2B marketing.About:
This article is published in Industrial Marketing Management.The article was published on 2022-02-01. It has received 16 citations till now. The article focuses on the topics: Chatbot & Personalization.read more
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“How mAy I help you today?” The use of AI chatbots in small family businesses and the moderating role of customer affective commitment
Ioannis Rizomyliotis,Minas N. Kastanakis,Apostolos Giovanis,Kleopatra Konstantoulaki,Ioannis Kostopoulos +4 more
TL;DR: In this paper , the authors investigate the antecedents of chatbots' successful use in small family businesses and determine the effect of two distinctive sets of human-machine communication factors (functional and humanoid) on customer experience.
Journal ArticleDOI
Guest editorial: Artificial intelligence for B2B marketing: Challenges and opportunities
TL;DR: In this paper , the authors present 16 papers that explore why B2B companies seek to use AI for marketing purposes, how AI can be used to foster innovation and use supply chain networks, and how it can enhance B2Bs customer experience and customer relationship management.
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Why do hotel frontline employees use service robots in the workplace? A technology affordance theory perspective
TL;DR: In this article , the authors explored hotel employees' intentions to use service robots in the hotel workplace and found that hotel employees, especially those with low collectivism (vs. high), prefer a room service robot with physical affordance to a concierge robot with cognitive affordance because the former offers more relative advantages and higher trust.
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AI in E-Commerce: Application of the Use and Gratification Model to the Acceptance of Chatbots
TL;DR: Wang et al. as discussed by the authors applied and built on the use and gratification theory to explore consumer acceptance of applied artificial intelligence (AI) in the form of Chatbots in online shopping in China.
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Exploring the antecedents of customers’ willingness to use service robots in restaurants
TL;DR: In this article , a mixed-methods research approach was taken to evaluate a theoretical model based on behavioral reasoning theory (BRT) to evaluate the effect of positive attitudes and objections to the use of service robots on consumers' willingness to use service robots and their intention to recommend restaurants that use them.
References
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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.
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Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
Gary C. Moore,Izak Benbasat +1 more
TL;DR: The development of an instrument designed to measure the various perceptions that an individual may have of adopting an information technology IT innovation, comprising eight scales which provides a useful tool for the study of the initial adoption and diffusion of innovations.
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Task-technology fit and individual performance
Dale L. Goodhue,Ron Thompson +1 more
TL;DR: This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology and suggests that task-technology fit when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.
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Choosing among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies:
TL;DR: In this paper, the authors explore key factors that influence the initial self-service technology trial decision, specifically focusing on actual behavior in situations in which the consumer has a choice among delivery modes, and show that the consumer readiness variables of role clarity, motivation, and ability are key mediators between established adoption constructs (innovation characteristics and individual differences) and the likelihood of trial.