Search results

The purpose of this paper is to examine the effect of firm-level investor sentiment on a firm's share liquidity.

The authors use Bloomberg's firm-level, daily investor sentiment scores derived from firm-level news and Twitter content in a regression model to explain the variability in a firm's share liquidity.

The results indicate that improvements (deterioration) in investor sentiment derived solely from Twitter content lead to a decrease (increase) in the average firm's share liquidity. Results, although not as strong, are opposite for investor sentiment derived solely from news articles: improvements (deterioration) in news sentiment leads to an increase (decrease) in the average firm's share liquidity.

The proxy for share liquidity is the bid-ask spread, which may be an imperfect measure of liquidity. The Amihud illiquidity measure was used as an alternative proxy and yield similar results. The results have important implications for investors in assessing the determinants of share liquidity.

The sample period covers four years (2015–2018), which is determined by the availability of the Bloomberg sentiment data.

Investors increasing use of social media to express views on particular stocks and seek information that might be used in the investment decision-making process. The study links investor sentiment derived from social media (Twitter) to share liquidity.

By examining the relationship between a firm's sentiment and the firm's share liquidity, this paper advances the authors' understanding of the factors that drive a firm's share liquidity. To the authors' knowledge, this is the first study to link investor sentiment derived from firm-level news and Twitter content to a firm's share liquidity.

This study examines the effect of firm-level investor sentiment on a firm's level of financial distress.

The authors use Bloomberg's firm-level, daily investor sentiment scores derived from firm-level news and Twitter content in a beta-regression model to explain the variability in a firm's financial distress.

The results indicate that improvements (deterioration) in investor sentiment derived from both news articles and Twitter content lead to a decrease (increase) in the average firm's financial distress level. We also find that the effect of sentiment derived from Twitter on a firm's financial distress is significantly stronger than the sentiment derived from news articles.

Our proxy for financial distress is Bloomberg's financial distress measures, which may be an imperfect measure of financial distress. Our results have important implications for market participants in assessing the determinants of financial distress.

Our sample period covers four years (2015–2019), which is determined by Bloomberg sentiment data availability.

Market participants are increasingly using social media to express views on firms and seek information that might be used to determine a firm's level of financial distress. Our study links investor sentiment derived from social media (Twitter) and traditional news articles to financial distress.

By examining the relationship between a firm's sentiment and its financial distress, this paper advances our understanding of the factors that drive a firm's financial distress. To our knowledge, this is the first study to link US firms' investor sentiment derived from firm-level news and Twitter content to a firm's financial distress.

This paper aims to explore how parasocial relationships with Korean celebrity endorsers on social media result in brand credibility and loyalty.

The participants were identified through a purposive sampling approach, and they were composed of consumers who purchased Korean-celebrity-endorsed products and services of a telecommunications company. The hypothesized relationships were gauged using a predictive approach as a research design via partial least squares (PLS) path modeling.

The findings show that all hypothesized relationships are supported. In particular, social media interaction was found to have a substantial, positive and significant effect on self-disclosure. Moreover, self-disclosure has a considerably significant and direct effect on parasocial relationships and was found to indirectly affect the link between social media interactions and parasocial relationships. The results further reveal that social media interactions and parasocial relationships predict source trustworthiness, leading to brand credibility and loyalty.

To the best of the authors’ knowledge, the present undertaking is the only study that examined how parasocial relationships on social media are built when foreign celebrities, in this case, the well-known Korean popular group BTS, endorse telecommunications products and services.

La presente investigación explora cómo las relaciones parasociales con celebridades coreanas en las redes sociales generan credibilidad de marca y lealtad.

Los participantes se identificaron mediante un muestreo intencional y estaban compuestos por consumidores que compraban productos y servicios de una empresa de telecomunicaciones avalados por famosos coreanos. Las relaciones hipotetizadas se midieron utilizando un enfoque predictivo como diseño de investigación mediante un modelo de mínimos cuadrados parciales (PLS).

Los resultados muestran que todas las relaciones hipotetizadas se confirman. En particular, la interacción con los medios sociales tiene un efecto sustancial, positivo y significativo en la autodivulgación. Además, la autodivulgación tiene un efecto considerablemente significativo y directo en las relaciones parasociales y se descubrió que afecta indirectamente al vínculo entre las interacciones en los medios sociales y las relaciones parasociales. Los resultados revelan además que las interacciones en los medios sociales y las relaciones parasociales predicen la fiabilidad de la fuente, lo que conduce a la credibilidad de la marca y a la lealtad.

El presente trabajo es el único estudio que examina cómo se construyen las relaciones parasociales en los medios sociales cuando celebridades extranjeras, en este caso, el conocido grupo popular coreano BTS, promocionan productos y servicios de telecomunicaciones.

本研究探讨了在社交媒体上与韩国名人的寄生关系如何建立品牌可信度和忠诚度。

通过目的性抽样确定参与者, 包括购买韩国名人代言的电信公司产品和服务的消费者。研究设计使用偏最小二乘法（PLS）模型对假设关系进行预测测量。

研究结果表明, 所有假设关系都得到了证实。特别是, 社交媒体互动对自我披露具有实质性的、积极的和显著的影响。此外, 自我披露对寄生关系也有明显的直接影响, 并被发现间接影响社交媒体互动与寄生关系之间的联系。研究结果进一步揭示了社会化媒体互动和寄生关系能够预测来源的可信度, 从而提高品牌可信度和忠诚度。

研究结果表明, 所有假设的关系都得到了证实。特别是, 社交媒体互动对自我披露具有实质性的、积极的和显著的影响。此外, 自我披露对寄生关系也有明显的直接影响, 并被发现间接影响社交媒体互动和寄生关系之间的联系。研究结果进一步揭示了社会化媒体互动和寄生关系能够预测来源的可信度, 从而提高品牌可信度和忠诚度。

本文是唯一一篇研究外国名人在社交媒体上推广电信产品和服务时如何建立寄生社会关系的研究。

The purpose of this paper is to identify key variables that affect the quantifiable key performance indicators (KPIs) and to derive equations to measure these indicators. Qualitative KPIs are also discussed in terms of the aspects that need to be covered while carrying out qualitative performance assessment.

A combination of literature and an industry opinion-based qualitative approach is applied to develop equations to calculate the quantifiable KPIs. A facility asset management consulting firm is included in the process of deriving the equations. Key aspects of a facility's qualitative performance assessment are categorized and discussed by performing a literature review.

Mathematical expressions for core performance indicators are presented and discussed along with key variables. In addition, the information needed to quantify these core indicators is also discussed.

This paper represents the second step towards establishment of a relevant list of quantifiable and measurable core KPIs, which were identified and categorized in Part I of this paper. In Part II, the authors derive equations to quantify the core KPIs. Future research is needed to use relevant information from industry for validating these equations.

A need for a concise and relevant list of KPIs was identified in Part I of this paper. Part II provides an approach to quantify the core KPIs based on information that is available in the industry. This research will help facility management professionals in not only selecting the indicators of choice, but also quantifying them based on available information yielding enhanced facility management decisions with measurable facility performance outcomes.

This paper provides equations and variables to measure a facility's physical, functional and financial performance using both quantitative and qualitative performance assessments.

The purpose of this paper is to synthesize the previously established list of key performance indicators (KPIs), to identify and categorize the core performance indicators that are measurable and quantifiable.

A literature-based qualitative approach is adopted for accumulating desired information on identifying and categorizing the core indicators. The list of KPIs established in an earlier paper is narrowed down considering the future research needs suggested by the literature.

The quantifiable and measurable core indicators are identified and categorized in the form of a list. The core indicators are defined and the variables required to quantify them are described by citing peer-reviewed literature.

This paper represents the first step toward establishing a relevant list of quantifiable and measurable core KPIs. Future research papers could emphasize derivation of mathematical expressions for determining the identified core KPIs and validating these KPIs using simulation of real building data.

The need to establish a concise and relevant list of quantifiable and measurable KPIs that could express more than one type of information about a facility's performance is identified in this paper. This paper presents and describes a narrowed down list of core KPIs, which could be utilized by facility management industry professionals while performing a holistic performance assessment.

This paper provides a list of core KPIs that could express more than one aspect of a facility's performance and that is measurable and quantifiable.

Using data from the 1990 Latino sample of the Panel Study of Income Dynamics and the 1988 National Survey of Elderly Hispanics, this research examines ethnic variation in the economic well‐being of older Latinos. Older Puerto Ricans are less economically secure than Cubans or Mexican Americans, reporting lower median incomes, higher rates of poverty, and disproportionate enrollments in the state health insurance program. We decompose household income into its sources to provide insight in ethnic differences in economic security and highlight how federal cutbacks in social programs for the elderly will uniquely impact each Latino ethnic group. The results show that older Puerto Ricans remain most vulnerable to the negative consequences of changing social policies. Health insurance coverage varies by ethnicity, revealing that access to health care is most limited among older Cubans. Clearly, each Latino ethnic group present a distinctive economic profile for older adults, profiles which call for policies guarding economic security to be tailored to each ethnic group.

The literature on women of color (WOC) faculty is replete with accounts of marginalization (Balderrama, Texeira, & Valdez, 2006; Benjamin, 1997; Garcia, 2005; John, 1997; Li & Beckett, 2006; McKay, 1997; Reyes, 2005). For instance, Balderrama et al. (2006) explains, “I come from a family of survivors, but I never realized it would come to that in academia …Little did I know I was entering one of the bastions of conservative ideology and practices – a far cry from a meritocracy working for the public good” (Balderrama et al., 2006, p. 224). Concomitantly, the higher education literature extols the presence of race and gender diversity because they are associated with elevated learning outcomes and intercultural engagement (Chang, 2002; Gurin, 1999; Milem & Hakuta, 2002). Therein lies the quandary. Given the importance of illuminating the challenges that WOC face within the academy, how then can that discourse be broadened to include empirical and theoretical claims about the relationship between WOC agency and structural transformation? In other words, how can WOC move beyond or within structural constraints to contribute to the teaching and learning environment? Equally important, how does the presence of WOC encourage a diversity conversation beyond student learning outcomes to one that emphasizes social equity? This chapter intends to participate in these emergent conversations in two ways. First, drawing from an empirical study of Black female faculty, I discuss how the participants contributed to their institutions and how those contributions embody and expand on the following diversity narratives: structural access and climate, learning outcomes, intercultural competencies, and meritocracy. Second, I theoretically expound upon the Black female faculty findings to discuss implications for similarly situated WOC. In all, this chapter demonstrates that difference – a woman of color difference – dislodges reactionary strongholds within the academic enterprise.