Search results

This study aims to examine the relationship of information quality of social media, social media reputation, social media political marketing activities, trust and political involvement of millennials.

The empirical analysis was conducted using a sample of 309 millennials. This study used online survey for the data collection. After passing reliability and validity tests, the data were analyzed with partial least squares structural equation modeling.

The results show that information quality of social media has positive and significant direct influence on reputation and trust. Information quality of social media also has a significant indirect influence on trust through social media reputation. However, there is no significant relationship between information quality and political involvement. Social media political marketing activities also have a direct and indirect significant effect on political involvement through trust. Finally, trust also has a positive and significant impact on political involvement.

This research may contribute to the political marketing experts and politicians in increasing the quality and credibility of advertisements on social media, which will affect trust and political involvement of millennial generation. Moreover, politicians and political marketing experts who have an online-based community should optimize their marketing activities in social media to encourage positive behavior and trust from social media users.

This study has shown a more comprehensive model of the relationship between information quality of social media and political involvement. This study also reveals the significant indirect effect of the trust on the relationship between information quality on social media, social media political marketing activities and political involvement.

Este estudio examina la relación de la calidad de la información, su reputación y las actividades de marketing político desarrolladas en las redes sociales, la confianza y la participación política de los millennials.

El análisis empírico incluye una muestra de 309 millennials encuestados online. Tras superar las pruebas de fiabilidad y validez, los datos se analizaron con (PLS-SEM).

Los resultados muestran que la calidad de la información de las redes sociales tiene una influencia directa positiva y significativa en la reputación y la confianza. La calidad de la información de las redes sociales también tiene una influencia indirecta significativa en la confianza a través de la reputación de las redes sociales. Sin embargo, no existe una relación significativa entre la calidad de la información y la participación política. Las actividades de marketing político de las redes sociales también tienen un efecto significativo directo e indirecto en la participación política a través de la confianza. Por último, la confianza también tiene un impacto positivo y significativo en la participación política.

Esta investigación puede contribuir a que los expertos en marketing político y los políticos aumenten la calidad y la credibilidad de los anuncios en los medios sociales, lo que afectará a la confianza y a la implicación política de la generación millennial. Además, los políticos y los expertos en marketing político que tienen una comunidad en línea deberían optimizar sus actividades de marketing en los medios sociales para fomentar un comportamiento positivo y la confianza de los usuarios de los medios sociales.

Este estudio muestra un modelo más completo de la relación entre la calidad de la información de los medios sociales y la implicación política. También revela el significativo efecto indirecto de la confianza en la relación entre la calidad de la información en los medios sociales, las actividades de marketing político en los medios sociales y la implicación política.

本研究旨在检验千禧一代的政治参与和社会媒体的信息质量、社会媒体声誉、社会媒体政治营销活动、信任度之间的关系。

本文的实证研究采用在线调查的方式, 收集了309名千禧一代样本的数据。经过信度和效度检验后, 采用偏最小二乘法结构方程模型（PLS-SEM）对数据进行分析。

结果表明, 社交媒体的信息质量对声誉和信任有着积极且显著的直接影响, 与此同时, 社交媒体的信息质量也通过社交媒体声誉对信任产生显著的间接影响。然而, 信息质量与千禧一代的政治参与之间并没有显著关系。而社会媒体的政治营销活动通过信任对政治参与产生直接和间接的显著影响。最后, 信任对政治参与也有积极而显著的影响。

这项研究有助于政治营销专家和政治家通过提高社交媒体广告的质量和可信度来影响千禧一代的信任和政治参与。此外, 政治家和政治营销专家应当优化社交媒体上在线社群的营销活动, 以鼓励社交媒体用户的积极行为和信任。

这项研究展示了一个比较全面的社交媒体信息质量与政治参与之间关系的模型。本研究还揭示了信任对社交媒体信息质量、社交媒体政治营销活动和政治参与之间关系的显著间接影响。

This paper aims to develop a geometry of moral systems. Existing social choice mechanisms predominantly employ simple structures, such as rankings. A mathematical metric among moral systems allows us to represent complex sets of views in a multidimensional geometry. Such a metric can serve to diagnose structural issues, test existing mechanisms of social choice or engender new mechanisms. It also may be used to replace active social choice mechanisms with information-based passive ones, shifting the operational burden.

Under reasonable assumptions, moral systems correspond to computational black boxes, which can be represented by conditional probability distributions of responses to situations. In the presence of a probability distribution over situations and a metric among responses, codifying our intuition, we can derive a sensible metric among moral systems.

Within the developed framework, the author offers a set of well-behaved candidate metrics that may be employed in real applications. The author also proposes a variety of practical applications to social choice, both diagnostic and generative.

The proffered framework, derived metrics and proposed applications to social choice represent a new paradigm and offer potential improvements and alternatives to existing social choice mechanisms. They also can serve as the staging point for research in a number of directions.

The purpose of this paper is the better understanding of the increasing relation between big data 2.0 and neuromarketing, particularly to influence election outcomes, along with a special aim to discuss some raised doubts about Trump’s presidential campaign 2016 and its ability to hijack American political consumers’ minds, and to direct their votes.

This paper combines deductive/inductive methodology to define the term of political neuromarketing 2.0 through a brief literature review of related concepts of big data 2.0, virtual identity and neuromarketing. It then applies a single qualitative case study by presenting the history and causes of online voter microtargeting in the USA, and analyzing the political neuromarketing 2.0 mechanisms adopted by Trump’s political campaign team in the 2016 presidential election.

Based on Trump’s political marketing mechanisms analysis, the paper believes that big data 2.0 and neuromarketing techniques played an unusual role in reading political consumers’ minds and helping the controversial candidate to meet one of the most unexpected victories in the presidential elections. Nevertheless, this paper argues that the ethics of using political neuromarketing 2.0 to sell candidates and its negative impacts on the quality of democracy are and will continue to be a subject of ongoing debates.

The marriage of big data 2.0 and political neuromarketing is a new interdisciplinary field of inquiry. This paper provides a useful introduction and further explanations for why and how Trump’s campaign defied initial loss predictions and attained victory during this election.

Various studies dealing with brand orientation were analysed to discuss how the issues identified in this area have been relating over time. This paper aims to identify the key studies, the keywords used and the origin of the studies.

A systematic literature review (SLR) was performed within the Scopus database to select and summarize the studies that deal with brand orientation. Finally, 90 articles were subjected to bibliometric analysis.

Five major research areas were identified (brand orientation concept, hybrid strategies, internal branding management, brand performance and perceived brand orientation) and discussed.

As the main theoretical contribution, the results showed a focus on research in five areas: the development of the brand orientation concept and proposed extensions; hybrid strategies; the relations between brand orientation, internal branding and brand management; the relation between brand orientation and financial performance; and the perceived brand orientation, mostly applied to higher education sector.

The study offers a general overview of brand orientation, identifying relations on topics of interest, main keywords and sub-themes in this field. The results contribute to fulfilling the research gap about the relationship between all these aspects. Finally, an agenda for future research is proposed.

Se analizaron diversos estudios sobre la orientación de la marca con el fin de discutir cómo se han ido relacionando a lo largo del tiempo los problemas identificados en esta área. Esta investigación identifica los estudios clave, las palabras clave utilizadas y el origen de los estudios.

Se realizó una revisión sistemática de la literatura (SLR) con la base de datos de Scopus para seleccionar y resumir los estudios que tratan de la orientación de la marca. Finalmente, 90 artículos fueron sometidos al análisis bibliométrico.

Se identificaron cinco grandes áreas de investigación (concepto de orientación de marca, Estrategias híbridas, Gestión interna de marca, Rendimiento de marca, Orientación de marca percibida) y se discutieron.

Los resultados mostraron un enfoque en la investigación en cinco áreas: el desarrollo del concepto de orientación de marca y las extensiones propuestas; las estrategias híbridas; las relaciones entre la orientación de marca, el branding interno y la gestión de marca; la relación entre la orientación de marca y el rendimiento financiero; y la orientación de marca percibida, aplicada principalmente al sector de la educación superior.

El estudio ofrece una visión general de la orientación de la marca, identificando las relaciones sobre temas de interés, las principales palabras clave y los subtemas en este campo. Los resultados contribuyen a llenar el vacío de investigación sobre la relación entre todos estos aspectos. Finalmente, se propone una agenda futura de investigación.

Orientación de marca, Marca, Análisis bibliométrico, Revisión sistemática de la literatura

Revisión general

Collective intelligence has drawn many scientists’ attention in many centuries. This paper shows the collective intelligence study process in a perspective of crowd science.

After summarizing the time-order process of related researches, different points of views on collective intelligence’s measurement and their modeling methods were outlined.

The authors show the recent research focusing on collective intelligence optimization. The studies on application of collective intelligence and its future potential are also discussed.

This paper will help researchers in crowd science have a better picture of this highly related frontier interdiscipline.

Bureaucracy to a large extent entrenches orderliness and productive means of achieving goals in both public and private organisations across the world. However, bureaucracy is not suitable in the management of hospitals due to its peculiar nature of operations. This study investigates the conundrum of bureaucratic processes and health-care service delivery in government hospitals in Nigeria.

The study surveyed 600 outpatients and attendees visiting tertiary and government hospitals in Nigeria using descriptive design to obtained data from the respondents. A research instrument, questionnaire, was used to gather data. Out of the 600 outpatients visiting the 20 hospitals in government and tertiary hospitals, 494 responses were returned from the attendees. The study employed random sampling strategy to collect the information.

The findings of this study were that service delivery in government hospitals were in adverse position on all the four constructs of bureaucratic dimensions as against quality of service delivery in hospitals in Nigeria. It discovered that bureaucratic impersonality cannot impact on the quality of service delivery in government hospitals in Nigeria. Separation and division of labour among health workers have no significant effect on quality service delivery in government hospitals. Formal rules and regulations (administrative procedure, rules, and policies) prevent quality service delivery in government hospitals in Nigeria. Also, patient’s waiting time was not significant to the quality of service delivery in government hospitals.

The results are constrained with dimensions of bureaucratic processes. Thus, the implication of this study is that bureaucracy in the Nigerian public hospitals is an unnecessary marriage which should be carefully separated and de-emphasised for quality service delivery in the hospitals to thrive.

Largely, this study is practical essential as it unearths the irrelevant operations procedure that hinder progress in Nigerian hospitals.

The study accomplishes recognised importance to survey how bureaucracy impedes quality service delivery in government hospitals. This study has provided a vital clue to elements that will bring rapid attention to patients’outcome in Nigerian hospitals and health-care facilities which hitherto has not been emphasised. The study has contributed to the existing body of knowledge associated to healthcare service quality in developing country.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

According to the growing role of stakeholders in the implementation of public-private partnership (PPP) initiatives, the purpose of this study is to diagnose the maturity of PPPs in Poland, taking into account the range of stakeholders’ participation in public-private initiatives.

The introductory study on the stakeholders of PPPs has been based on the report analysis of Polish initiatives and the case studies’ comparative analysis. The cases represent touristic projects realized within PPPs.

The results of the study indicate that the PPPs’ personal context, though recognized internationally, is to a very low extent present in the Polish case. As the PPP market is still in the process of development, the stakeholders’ issue should be taken into consideration in the processes of the PPP development in Poland.

As regional development is continuously a key issue, especially in rural areas context, the PPP initiatives are of great importance, and therefore the discussion of pros and cons in this context may contribute to the legislation at the regional level.

The study sheds some light and gives some interesting perspectives on the issue of the personal context of PPPs and social capital. Also, the text describes the path of developing PPPs in Poland and especially the touristic projects. The research part presents the original case study comparative analysis based on table-oriented form and as such enables the new way of contextual analysis.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.

Single-party regimes increasingly use Subnational Performance Assessments (SPAs) – rankings of provinces and districts – to improve governance outcomes. SPAs assemble and publicize information on local government performance to facilitate monitoring and generate competition among officials. However, the evidence are sparse on their effects in this context. The authors argue that built-in incentive structures in centralized single-party regimes distort the positive impact of SPAs.

The staggered rollout of the Vietnam Provincial Governance and Public Administration Performance Index (PAPI) created a natural experiment. Due to 2010 budget constraints, the first iteration of the PAPI survey covered only 30 of Vietnam’s 63 provinces before covering all in 2011. The PAPI team used matching procedures to identify a statistical twin for each province before randomly selecting one from each pair. The authors use randomization inference to compare the outcomes of these control and treatment groups in 2011.

Exposure to PAPI helped improve almost all aspects of governance; however, significant evidence of prioritization bias exist. The positive effects only persisted for the dimension of administrative procedures, which was the one area of governance that was prioritized by the central government at the time. Other dimensions only registered short-term effects.

Our study provides an examination of the impact of SPAs in a single-party regime context. In addition, the authors leverage the natural experiment to identify information effects causally. The authors also look past short-term effects to compare outcomes for five years after the treatment occurred.