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        검색결과 2

        1.
        2023.07 구독 인증기관·개인회원 무료
        AI recommendation service is adopted in consumption consulting such as high-tech and fashion consumption (Thapliyal & Ahuj, 2021). Now, for high-tech and fashion products, the advance selling strategy is widely adopted. Thus, this study targets to detective the consumers’ preference toward AI agents comparing human agents under advance selling and spot selling. The independent variable of this study is consumption type: Pre-sale Products vs. Spot Products. Pre-sale Products are quite popular currently, especially technological products. Construal-level theory (CLT) offers a valuable framework to explain the mechanisms that trigger evaluations, predictions, and behaviors by linking the degree of mental abstraction (the construal level) to psychological distance (Trope & Liberman, 2000; 2003; 2010). Four dimensions including temporal, special, social, and probability distance are argued to present the psychological distance (Trope et al., 2007). Liberman et al. (2022) discuss the time distance and argue the distant-future events are represented in a more abstract, structured, high-level manner than near-future events. Kim & Duhachek (2020) draw on a dimension of persuasion by AI agents to posit that AI agents are perceived as low-construal agents because of the fact that people hold a lay theory that AI agents do not have superordinate goals and cannot learn from their experiences or possess consciousness like humans do. Consequently, they find that individuals perceive greater appropriateness and are more persuaded when an AI agent’s persuasive messages highlight low-construal as opposed to high-construal features. Moreover, consumers prefer abstract information related to a certain product rather than concrete information when a purchase is to take place in the distant future or when construal levels are high (Hernandez et al., 2015). Thus, this research hypothesizes: When consumers buy pre-sale products (vs. spot products), human agents will be the more favorable service provider than AI agents since the consumer is under a high level of construal. This research proposes to adopt a 2 (Advance Selling vs. Spot Selling) x 2 (Short Psychological Distance vs. Far Psychological Distance) x 2 (AI Agents vs. Human Agents) between groups experimental study to test the main effects and mechanism (H1). Furthermore, this study would identify the key moderating effects to discuss the boundary effects of the mechanism for establishing marketing strategies with AI services for managers.
        2.
        2016.07 구독 인증기관·개인회원 무료
        Social media as an online channel for sharing and participating can play an important role for many marketing activities. Social media can be especially influential in word of mouth (WOM) communication as the focus of it is the sharing of information regarding consumers’ product experiences. To use social media as a marketing tool, identifying the relationship between message sender and receiver (the strength of social tie) is important in the viral marketing campaign context. Also, the effects can be influenced by message type, and consumers’ situational context. Therefore, the study examines the consumers’ intention to share advertising message with others in social media focusing on the strength of social ties (strong vs. weak tie) between message receivers and senders. The authors hypothesize that participants’ intention for sharing will be higher for the message recipients of strong tie than of weak tie. Especially, the sharing intention, for strong tie than for weak tie, will be higher when there is a match between message type (visual vs. text) and consumers’ purchasing context (close vs. far distance). The study used 2(temporal distance: close vs. distant) x 2(message type: text vs. picture) x 2 (close friends, vs. general public) design with the first two factors as between –subject factors and the last factor as a within-subject factor. A total of 107 student subjects participated in an experiment. They were recruited from a private university, in Seoul, in exchange for extra credit. The participants’ average age was 22 (SD=2.72) and 58 percent of them were males.