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The purpose of this paper is to elucidate the relationship between three types of process innovations (i.e. innovation in production, IT, and logistics processes) and ambidexterity performance. Specifically, the paper attempts to examine whether changes in business processes help companies to reconcile exploration and exploitation learning activities within the firm domain.

This research is based on data of 2,843 manufacturing firms, whose data are available from the Italian Innovation Survey (period 2010-2012). Hypotheses are developed and tested by using a Tobit regression approach.

Innovation in production and IT processes favors ambidexterity performance, whereas changes in logistics activities, despite being positive, are less relevant.

This is one of the first attempts to offer empirical evidence about the relationship between process innovations and ambidexterity performance (without engaging in domain separation), hence providing additional insights into the ambidexterity literature and the literature on process innovation.

This article draws on a reasoned action perspective and the two fundamental dimensions (i.e. warmth and competence) of the Stereotype Content Model (SCM) to analyze customers' chatbot-related attitudes and usage intentions in service retailing. The authors investigate how chatbot, customer, and contextual characteristics, along with perceptions of chatbot warmth and competence, shape customers' chatbot-related attitudes. Furthermore, the authors analyze whether the customer generation or the service context moderates the relationship between chatbot-related attitudes and usage intentions.

The results are based on two studies (N = 807). Study 1 relies on a 2 (chatbot communication style: high vs low social orientation) × 2 (customer generation: generation X [GenX] vs generation Z [GenZ]) × 2 (service context: restaurant vs medical) between-subjects design. Study 2 relies on a similar number of respondents from GenX and GenZ who answered questions on scheduling a service with either the dentist or the favorite restaurant of the respondents.

GenZ shows more positive attitudes toward chatbots than GenX, due to higher perceptions of warmth and competence. While GenZ has similar attitudes toward chatbots with a communication style that is high or low in social orientation, GenX perceives chatbots with a high social orientation as warmer and has more favorable attitudes toward chatbots. Furthermore, the positive effect of chatbot-related attitudes on usage intentions is stronger for GenX than GenZ. These effects do not significantly differ between the considered contexts.

This research formulates future directions to stimulate debate on factors that service retailers should consider when employing chatbots.

Understanding a prima facie attraction of retro pop-rock by a broad spectrum of people and the role of technology innovation in driving the importance of this genre. A key idea of this paper is that ongoing popularity of retro pop-rock music is associated with a confluence of demand-side and supply-side factors. The demand side is thought to be characterized by a combination of psychological factors contributing to individuals’ desires to enjoy, reflect on, or even “live in” the past. On the supply-side, technology has roles in the production, distribution and consumption of music.

The approach of this paper is to provide an extensive search and synthesis of relevant literature and to present and analyze findings from online surveys.

The literature supports the idea that attraction to retro music is heavily influenced by psychological factors as well as technology innovation. The survey provides supporting evidence. Of particular interest are findings related to correlations between nostalgia and technology.

This study is, to the authors’ knowledge, one of the first to provide a survey-based link between the attraction to retro music to nostalgia and technology.