Search results

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 explore the characteristics of a brand spokesperson’s voice that are the most valuable for consumer-based brand equity (CBBE) and evaluates various explanations in previous research regarding the influences of a speaker’s voice.

Brand identities can transfer their associations and affect as well as influence brand recall, thus contributing to CBBE. In addition, the pitch and gender of a speaker’s voice are considered as key characteristics of voice perception. This experimental study exposed 521 respondents to 12 different voices and measured the effects of a spokesperson’s voice pitch and gender on associations, attitude toward the voice and brand recall.

This study presents a model that explains the influence of a brand spokesperson’s voice on CBBE. The findings show that low-pitched voices induced distinctive, positive associations and led to a more positive attitude toward the voice and greater brand recall, regardless of the gender of the spokesperson and that of the respondent. Moreover, voice associations partially mediated the effects on attitude toward the voice and completely mediated the effects on brand recall.

While numerous brands have resorted to specific voices to represent themselves, brand spokesperson’s voice and its associations have not been studied. This study highlights the importance of a spokesperson’s voice pitch and its associations in building CBBE and nuances the roles of spokespersons’ and respondents’ gender.

The purpose of this study is to determine how sonic logo’s acoustic features (intensity, pitch and pace) based on melodic tunes with no voice orient the response of consumers, attract attention, elicit levels of pleasantness and calmness and transmit brand personality traits.

A within-subject experimental factorial design is applied to measure emotional arousal (indexed as electrodermal activity) and enhancement on perceptual processing (indexed as heart rate), as well as self-reported factors, namely, calmness/excitement, pleasantness and brand personality scales.

Results show a significant increase on electrodermal activity associated with fast-paced sonic logos and a decrease in heart rate in slow-paced long sonic logos. Also, fade-up, pitch-ascending fast sonic logos are defined as more exciting and descending-pitch sonic logos as more pleasant.

The use of sonic logos with no voice does limit its implications. Besides, the use of three variables simultaneously with 18 versions of sonic logos in a laboratory setting may have driven participants to fatigue; hence, findings should be cautiously applied.

First, sonic logos are best processed in a fade-up form. Second, fast pace is recommended to orient response, whereas slow pace is recommended to transmit calmness. Practitioners may opt for fast-paced sonic logos if the design is new or played in a noisy environment and opt for slow-paced sonic logos in already highly recognized sound designs.

To the best of authors’ knowledge, this study is the first to combine psychophysiological measures and self-reported scales in a laboratory experiment on how sonic logo’s acoustic features orient response, transmit emotions and personality traits.

The authors aim to explore whether and how variations on pitch levels of background music in audiovisual commercials affect consumers' judgments of the competence of the advertised brands and for which group of consumers such changes in ad backgrounds are more influential.

Consumers are presented with an audiovisual advertisement in which the pitch of background music is lowered or raised. They are subsequently asked to evaluate the music and traits of the advertised brand and indicate their predisposed styles of thinking.

Consumers tend to judge a brand in an audiovisual commercial as possessing a higher level of competence traits when the brand is accompanied by lower-pitched (vs higher-pitched) background music, which is mediated by levels of powerfulness they perceive from the background music. Consumers with holistic (vs analytic) thinking styles, who are known to devote more focused attention to background information, tend to be more (vs less) susceptible to the changes in pitch.

The current research approaches thinking styles as predisposed individual differences as in prior works in marketing. Provided that the predisposed thinking styles can be influenced by individuals' cultural backgrounds, the authors suggest cross-cultural studies as an approach to further validate the present findings.

Given the recent trends that consumers are increasingly exposed to audiovisual ads with the rapid growth of various video-based platforms (e.g. YouTube) and mobile advertising, this empirical study may assist contemporary marketers in considering an acoustic strategy for brand communication using the audiovisual advertisement. This study suggests that the pitch of ad background music can serve as a manageable strategic tool that can assist in establishing an image of a competent brand.

This research highlights a seemingly-trivial element in audiovisual advertisements, the pitch of background music, as a crucial determinant of the perceived competence of an advertised brand upon which further brand evaluations (e.g. brand trust, purchase intention) are based. An important yet overlooked effect of ad recipients' predisposed thinking styles on how consumers respond to the changes of background cues in audiovisual commercials is also proposed.

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.

Although phone calls are widely used by debt collection services to persuade delinquent customers to repay, few financial services studies have analyzed the unstructured voice and text data to investigate how debt collection call strategies drive customers to repay. Moreover, extant research opens the “black box” mainly through psychological theories without hard behavioral data of customers. The purpose of our study is to address this research gap.

The authors randomly sampled 3,204 debt collection calls from a large consumer finance company in East Asia. To rule out alternative explanations for the findings, such as consumers' previous experience of being persuaded by debt collectors or repeated calls, the authors selected calls made to delinquent customers who had not been delinquent before and were being called by the company for the first time. The authors transformed the unstructured voice and textual data into structured data through automatic speech recognition (ASR), voice mining, natural language processing (NLP) and machine learning analyses.

The findings revealed that (1) both moral appeal (carrot) and social warning (stick) strategies decrease repayment time because they arouse mainly happy emotion and fear emotion, respectively; (2) the legal warning (stick) strategy backfires because of decreasing the happy emotion and triggering the anger emotion, which impedes customers' compliance; and (3) in contrast to traditional wisdom, the combination of carrot and stick fails to decrease the repayment time.

The findings provide a valuable and systematic understanding of the effect of carrot strategies, stick strategies and the combinations of them on repayment time. This study is among the first to empirically analyze the effectiveness of carrot strategies, stick strategies and their joint strategies on repayment time through unstructured vocal and textual data analysis. What's more, the previous studies open the “black box” through psychological mechanism. The authors firstly elucidate a behavioral mechanism for why consumers behave differently under varying debt collection strategies by utilizing ASR, NLP and vocal emotion analyses.