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Prior research suggests that decision-makers can be biased by anecdotal data, even in the presence of more informative statistical data. A bias for anecdotal data can have significant implications for managers since judgments are often made when both statistical and anecdotal data are present. However, since much of the prior research has been conducted primarily on non-professionals engaged in unfamiliar tasks, it is unclear whether anecdotal biases will occur in managerial decision-making, where training and professional duties may reduce the effects of such a bias. Smith and Kida (1991) note, for example, that judgment biases are often mitigated or modified when trained professionals perform job-related tasks. In this study, managers and others with significant business experience were asked to make a capital budgeting decision in the presence of both statistical and anecdotal data. The results indicate that decision-makers ignored, or underweighted, statistical data in favor of anecdotal data, leading to suboptimal decisions. However, a scientific judgment orientation decision-aid did help to mitigate the effects of that bias. The implications of these results for decision-making in managerial accounting are discussed.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

Storytelling has long been a popular strategy in marketing. Despite its ubiquity, the influence of storytelling in the sport marketing literature has not been investigated, especially on consumers' perspective. Thus, the purpose of this study is to (a) examine the effect of storytelling on sport consumers, and (b) explore the moderation effect of product involvement on the relationship between storytelling and purchase intention of a signature sneaker.

Two experiments using 3 (storytelling: bullet-point type vs. athlete-based story vs. product-based story) × 2 (product involvement: low vs. high) between-subjects experimental design were conducted.

The main finding illustrates that both the athlete-based story and the product-based story had a stronger influence on a consumer's purchase intention than the information that was given in a bullet-point condition. This study provides a theoretical implication of storytelling strategy for sport marketing literature. From a managerial perspective, the authors heavily recommend the use of storytelling in sport product advertisements.

Previous literature has highlighted the effect of storytelling in sports organization such as professional sports team or utilization in social media. However, limited studies could be found in the sports product industry and consumer behavior sector. Thus, the current study has a significant value of understanding the storytelling strategy in the perspective of sports consumers as well as brand marketers.

Organizational demography research tends to invoke multi-level concepts that require multi-level theories and analysis. Scholars originally paid little attention to this multi-level work. However, the complex issues involved in studying multi-level demographic phenomena are receiving increasing scrutiny. Three historical oppositions in social science have contributed to current limitations: the disciplinary differences between psychology and sociology; the analytical antagonism between quantitative and qualitative analysis; and the rhetorical distinctions between deductive and inductive discussion. These oppositions suggest that a more qualitative, inductive approach may uncover new directions for multi-level demographic theory. Two possibilities are discussed. One is to refocus on the phenomena themselves instead of their outcomes. Another is to explore how demographic misperceptions influence individual behavior.

Newsjacking (real-time deployment of news stories in communications) is now ubiquitous for brands using social media. Despite its pervasiveness, little analysis of its effectiveness exists. The purpose of this paper is to test if newsjacking positively influences various consumer responses (attitude toward content, brand attitude and purchase intent). Taking an audience perspective supported by the elaboration likelihood model, the research also establishes if a higher level of news involvement, as well as an ability to recognize the story behind the content, enhances the effectiveness of newsjacking content.

An experimental design using taglines (newsjacking vs non-topical content) from a real BMW campaign was tested on a sample of 252 consumers. Three research questions pertaining to the effectiveness of newsjacking were specified and analyzed within a structural equation modeling framework.

The findings support the conclusion that newsjacking is an effective communication tool. More favorable consumer responses were elicited in the newsjacking condition, as compared to content deploying a non-topical tagline. In addition, recipients reporting a higher level of news involvement rated the content more favorably in the newsjacking (vs the non-topical) condition. Deploying news stories that are more recognizable increases the chances of successful newsjacking. Messages received by those with higher product involvement (category level: cars) were more effective regardless of the type of the appeal.

The authors contribute to the communications and social media literatures by investigating the effectiveness of an emerging but popular tactic leveraged by content creators. The work builds upon the limited research that has tested consumer responses to newsjacking. From a practical perspective, the research provides insight into the type of audience and situations most likely to yield a favorable outcome from newsjacking.

Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

This paper aims to investigate advertising effectiveness in Instagram and Facebook, the two most important social media platforms. It helps to understand which should be chosen depending on the target audience of the campaign.

The study examines advertising effectiveness in these social media in terms of ad attitude, ad intrusiveness and loyalty intentions. An online survey was conducted with 303 social media users. Age and gender are proposed as moderators.

The results indicate that Instagram Stories not only enhances consumer attitude toward ads but also increases perceived intrusiveness, compared to Facebook Wall. Millennials are more disturbed by Facebook Wall ads than non-millennial users. A triple interaction effect reveals that non-millennial men are more loyal toward Facebook Wall ads, whereas millennials of both genders and non-millennial women are more loyal to ads on Instagram Stories.

Advertisers should be aware of the differential features and segmentation possibilities in social media to better address their target audiences. More precisely, the research findings suggest that professionals should focus on Instagram Stories when targeting millennials and non-millennial women, and on Facebook Wall when targeting non-millennial men.

This study is one of the first to contribute to the literature on Instagram Stories as an advertising platform and compare its differential features with those of more established social media, such as Facebook Wall.

Esta investigación compara la efectividad publicitaria en Instagram y Facebook en función del público objetivo.

La investigación analiza las diferencias entre cada formato de red social en términos de actitud hacia el anuncio, intrusividad percibida y lealtad hacia el producto o marca anunciado. Mediante una encuesta online a 303 consumidores, se proponen efectos directos y efectos moderación de la edad y el género.

Los resultados indican que Instagram Stories mejora la actitud hacía el anuncio, pero aumenta también la intrusividad en comparación con Facebook Wall. La publicidad en Facebook Wall es más intrusiva para los millennials que para los no-millennials. Instagram Stories incrementa la lealtad entre los usuarios millennial de ambos sexos y las mujeres no-millennial; en cambio, los hombres no-millennial son más leales a la publicidad en Facebook Wall.

Los anunciantes deben aprovechar los nuevos formatos y las posibilidades de segmentación que les brindan las redes sociales para llegar a su público objetivo de manera más efectiva. Concretamente, los hallazgos de la investigación sugieren que deberían centrarse en Instagram Stories para dirigirse a un público millennial y a mujeres no-millennial; y en Facebook Wall, cuando su público objetivo sean los hombres no-millennial.

Este estudio es uno de los primeros que aborda el uso de Instagram Stories como soporte publicitario y lo compara con formatos publicitarios consolidados como Facebook Wall.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.