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We argue that voice – the sound that people produce when they speak – is an important resource for entrepreneurs, especially when they are pitching to potential investors. We integrate evidence from entrepreneurship, social psychology and linguistics to show that the voice can be regarded both as a tool for entrepreneurs to utilize and as a vital source of information allowing listeners to make judgements about the speaker and their message. To better understand how the voice may be used and interpreted in investment pitches, we develop a model of the relationship between the entrepreneurial voice and investor judgments. Voice depends on entrepreneurs’ characteristics including gender and communication goals but can be utilized to express emotions (purposefully or not) and signal qualities such as competence and trustworthiness. How potential investors interpret these displays depends on cultural expectations and stereotypes. Our review illustrates that female entrepreneurs may find it more difficult to persuade investors due to their naturally higher voice pitch and bias against speech patterns prevalent among young women. We highlight directions for future research exploring the voice as a unique cultural resource for entrepreneurs.

This paper aims to identify the factors that influence the evaluation of an idea beyond its intrinsic values, especially those that relate to the presentation of the idea. With reference to a review of research conducted in the fields of psycho-sociology and psychology and using a qualitative comparative approach, the analysis of 57 pitches of entrepreneurial ideas during two start-up weekends shows that ideas receive the highest evaluation when they are judged to be the best in terms of novelty, feasibility, and relevance. However, our results also show that mastery by ideators of the basics of pitch presentation – especially clear enunciation – is also a necessary condition for acceptance of the idea by the audience. The paper seeks to contribute to the literature by identifying the most favorable configurations for a positive evaluation of an entrepreneurial idea in this type of innovation contest.

The use of artificial intelligence (AI) in management research is still nascent and has primarily focused on content analyses of text data. Some method scholars have begun to discuss the potential benefits of far broader applications; however, these discussions have not led yet to a wave of corresponding AI applications by management researchers. This chapter explores the feasibility and the potential value of using AI for a very specific methodological task: the reliable and efficient capturing of higher-level psychological constructs in management research. It introduces the capturing of basic emotions and emotional authenticity of entrepreneurs based on their macro- and microfacial expressions during pitch presentations as an illustrative example of related AI opportunities and challenges. Thus, this chapter provides both motivation and guidance to management scholars for future applications of AI to advance management research.

Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing scholars become more aware of the value of audio and visual data and the technologies required to reveal insights into marketing problems. This chapter aims to introduce marketing scholars into this field of research.Design/methodology/approach – This chapter reviews the current technology in audio and visual data analysis and discusses rewarding research opportunities in marketing using these data.Findings – Compared with traditional data like survey and scanner data, audio and visual data provides richer information and is easier to collect. Given these superiority, data availability, feasibility of storage, and increasing computational power, we believe that these data will contribute to better marketing practices with the help of marketing scholars in the near future.Practical implications: The adoption of audio and visual data in marketing practices will help practitioners to get better insights into marketing problems and thus make better decisions.Value/originality – This chapter makes first attempt in the marketing literature to review the current technology in audio and visual data analysis and proposes promising applications of such technology. We hope it will inspire scholars to utilize audio and visual data in marketing research.

Speech pathology services have not been traditionally provided within school classroom settings. This chapter will describe the service-delivery options for provision of speech pathology services in classroom settings. A review of select research related to the efficacy of these services is included as applied examples for educators.

Creating memorable tourism experiences (MTE) is vital to obtain sustained tourism visits. In the digital era, infusions of various digital technologies in tourism services without admitting tourist emotions could jeopardize the experience. Drawing from a Service-Dominant Logic (S-DL) perspective, this study explains the complexity of digital tourism experience in the service system view, highlighting the importance of emotions as resources. It is composed of actors' orchestrations, connected by shared emotions, and enabled by sensory stimuli facilitated by the digital tourism ecosystem throughout the tourism journey. This study proposes a Memorable Digital Tourism Experience (MDTE) framework by identifying the focal actors, recognizing the emotions, and determining the moderating role of sensory stimuli enabled by various novel technologies. At last, several agenda and practical guidelines are proposed on how to operationalize the framework and different methodologies to explore Memorable Digital Tourism Experience.

In this project, we propose and test a new device – wearable sociometric badges containing small microphones – as a low-cost and relatively unobtrusive tool for measuring stress response to group processes. Specifically, we investigate whether voice pitch, measured using the microphone of the sociometric badge, is associated with physiological stress response to group processes.

We collect data in a laboratory setting using participants engaged in two types of small-group interactions: a social interaction and a problem-solving task. We examine the association between voice pitch (measured by fundamental frequency of the participant’s speech) and physiological stress response (measured using salivary cortisol) in these two types of small-group interactions.

We find that in the social task, participants who exhibit a stress response have a statistically significant greater deviation in voice pitch (from their overall average voice pitch) than those who do not exhibit a stress response. In the problem-solving task, participants who exhibit a stress response also have a greater deviation in voice pitch than those who do not exhibit a stress response, however, in this case, the results are only marginally significant. In both tasks, among participants who exhibited a stress response, we find a statistically significant correlation between physiological stress response and deviation in voice pitch.

We conclude that wearable microphones have the potential to serve as cheap and unobtrusive tools for measuring stress response to group processes.

We review literature linking patterns of vocal accommodation in the paraverbal range of the voice to small group structures of status and dominance. We provide a thorough overview of the current state of vocal accommodation research, tracing the development of the model from its early focus on patterns of mutual vocal adaptation, to the current focus on structural factors producing patterns of unequal accommodation between group members. We also highlight gaps in existing knowledge and opportunities to contribute to the development of vocal accommodation as an unobtrusive, nonconscious measure of small group hierarchies.

We trace the empirical development of vocal accommodation as a measure of status and power, and discuss connections between vocal accommodation and two prominent theoretical frameworks: communication accommodation theory (CAT) and expectation states theory. We also provide readers with a guide for collecting and analyzing vocal data and for calculating two related measures of vocal accommodation.

Across multiple studies, vocal accommodation significantly predicts observers’ perceptions regarding interactants engaged in debates and interviews. Studies have specifically linked vocal accommodation to perceptions of relative power or dominance, but have not shown a relationship between accommodation and perceptions of prestige.

Vocal accommodation measures have clear applications for measuring and modeling group dynamics. More work is needed to understand how accommodation functions in clearly-defined status situations, how the magnitude of status differences affects the degree of accommodation inequality, and how vocal accommodation is related to other correlates of social status, including openness to influence and contributions to group tasks.