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1 – 4 of 4Jonan Phillip Donaldson, Ahreum Han, Shulong Yan, Seiyon Lee and Sean Kao
Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways…
Abstract
Purpose
Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.
Design/methodology/approach
This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.
Findings
The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.
Research limitations/implications
LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.
Practical implications
LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.
Originality/value
To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.
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Daniel Belanche, Isabel Cenjor and Alfredo Pérez-Rueda
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
Propósito de la investigación
Esta investigación compara la efectividad publicitaria en Instagram y Facebook en función del público objetivo.
Metodología y diseño
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.
Recomendaciones
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.
Implicaciones prácticas
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.
Originalidad
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.
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David Agudelo, Diego A. Agudelo and Julián Peláez
Se estudian los determinantes y la evolución de la actividad bursátil mensual en el mercado accionario colombiano de 2007 a 2016.
Abstract
Propósito
Se estudian los determinantes y la evolución de la actividad bursátil mensual en el mercado accionario colombiano de 2007 a 2016.
Diseño/metodología/enfoque
Para ello se emplean modelos de series de tiempo tipo ARIMAX y GARCH, incluyendo variables exógenas, recomendadas por la literatura previa.
Hallazgos
Encontramos que la actividad bursátil puede ser pronosticada en buena parte por el valor rezagado a un mes y las innovaciones de cinco y 12 meses. También contribuyen a predecirla, como variables exógenas, una dummy de rendimientos positivos en los últimos tres meses, la presencia de emisiones primarias y el índice VIX de volatilidad del SP500. Estos resultados se mantienen en un alto grado al emplear medidas alternativas de actividad bursátil, el número total de operaciones y la rotación.
Implicaciones prácticas
Se propone un modelo de predicción de la actividad bursátil que puede servir de modelo para otros mercados accionarios de Latinoamérica. El modelo obtenido es altamente predictivo del valor transado total del mercado al siguiente mes. La estimación de la actividad bursátil es de utilidad para instituciones como la Bolsa de Valores de Colombia, reguladores de los mercados financieros, así como para grandes inversionistas institucionales.
Implicaciones sociales
El propósito central de los mercados financieros secundarios consiste en facilitar la transacción de activos financieros, lo que debe reflejarse en alta actividad bursátil, tanto en número de operaciones como en valor transado total. La posibilidad de transar altos montos es una medida importante del desarrollo de un mercado financiero. De esta manera, el modelo aquí propuesto puede usarse para monitorizar y explicar el desarrollo del mercado. En particular, se evidencia el nocivo efecto de la debacle de Interbolsa a finales de 2012 y el positivo efecto de las emisiones primarias.
Originalidad/valor
Este es el primer paper en estudiar la actividad bursátil del mercado accionario colombiano en años recientes. Sirve como modelo para el estudio y seguimiento de esta variable en otros mercados accionarios latinoamericanos.
Purpose
To study the determinants and evolution of the trading activity in the Colombian Stock Market from 2007 to 2016.
Design/methodology/approach
ARMA time series models were used, including several explanatory variables recommended by previous literature.
Findings
We find that stock market activity can be predicted to a large extent by its lags, and that positive returns in the last three months, emissions and the VIX index are also explicative variables, as suggested by empirical studies in other countries and theoretical models of market microstructure. These results are robust by using alternative measures of trading activity, total number of trades and turnover.
Originality/value
The main contribution of this study is the analysis of the trading activity of the Colombian Stock Market, a critical variable for monitoring the development of any financial market.
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Federico R. León, Oswaldo Morales, Juan D. Ramos, Álvaro Goyenechea, Paul A. Rojas, José Meza and Andrés Burga-León
Call centers generate stress and absenteeism in staff and the literature suggests that people-oriented leadership is the right way of supervision for such a situation. This study…
Abstract
Purpose
Call centers generate stress and absenteeism in staff and the literature suggests that people-oriented leadership is the right way of supervision for such a situation. This study compared its effects versus those of other types of leadership.
Methodology
Absentee data of 379 representatives of customer services of a Peruvian call center were analyzed and the representatives answered a questionnaire about the Framework of Values in Competition and its four types of leadership. Day and night work shifts were compared.
Results
It was observed that absenteeism declines with people-oriented leadership, although only during the day shift, and the addition of leadership oriented to change, results and control devalues models.
Limitations/implications
Future studies should cover the performance of the worker. The findings suggest a need to re-focus the theoretical focus on environmental contingencies that affect leadership effectiveness.
Originality/value
Leadership theorists will ask themselves in what circumstances the multiple leadership is effective. Call center managers will appreciate the organizational value of people-oriented leadership at the first level of supervision.
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