Search results

This study aims to focus on the motivation of service customers to create user-generated content (UGC) after a negative service experience. In examining this relationship, the moderating role of “extraversion” personality trait is also taken into consideration. Furthermore, the paper examines how differently motivated service customers react to a firm’s service recovery strategies, whilst insights into the relationship between UGC creation and specific online platform usage are also provided.

Structural Equation Modeling is used to test the conceptual model, based on an empirical dataset collected from an online survey research of 239 service customers. The dataset pertains to international travellers and their UGC behaviour after a negative travel experience.

Altruistic, vengeance and economic motivations are strong drivers for UGC creation after a negative service experience. Motivations also correlate to participation in specific online platforms. Furthermore, it is shown that highly extraverted customers create more UGC after a negative service experience when motivated by vengeance. Finally, higher levels of altruistic and self-enhancement motivations correlate with a positive attitude towards a firm’s response, whereas customers who are motivated by vengeance have a negative attitude towards a firm’s response.

Customers who share their negative service experience by creating UGC in social media can be segmented according to their motivation. Service providers should inspect the UGC of their customers to understand the motivation behind it. The motivation to create UGC varies across platforms, and hence, customized service recovery strategies are required.

This paper examines UGC creation in relation to motivation, extraversion, and attitude towards a firm’s response. This is the first reported application which collectively examines important issues like these in a unified theoretical framework.

There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups.

A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior.

Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics.

This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.

对不同类型太空旅游所识别的不同类别太空游客行为的研究有限。 为了解决这一缺陷, 这项工作研究了哪些因素使消费者参与轨道和/或亚轨道太空旅游, 以及动机、约束和人工智能三个维度。 为了实现研究目标, 在比较轨道和亚轨道太空旅游群体时, 开发了一个综合研究模型, 包括内在和外在动机、内在和人际约束以及对人工智能的认识和信任三个维度。

对希望在未来参与轨道 (n = 332) 和亚轨道 (n = 332) 太空旅游的受访者进行了问卷调查。 利用偏最小二乘法 (PLS)-结构方程模型 (SEM)、模糊集定性比较分析 (fsQCA)、多组分析和深度学习来了解潜在的太空游客行为。

外在动机对行为意图的积极影响最大, 其次是对人工智能的认识和信任, 而内在约束对行为意图有强烈的负面影响。 令人惊讶的是, 人际约束对于 PLS-SEM 来说是微不足道的, 但对于 fsQCA 来说仍然是充分的因果配置之一。 有趣的是, 这两类太空旅游具有非常鲜明的特点。

这项工作创建了一个全面的综合研究模型, 具有动机、约束和人工智能三个维度, 以及潜在的轨道和亚轨道太空旅游群体, 以确定未来的消费者行为。 重要的是, 这项研究采用了多种分析方法, 使用四种不同的方法来更好地揭示潜在的轨道和亚轨道太空游客。

existe una investigación limitada sobre el comportamiento de las diferentes categorías de turistas espaciales identificados por diferentes tipos de turismo espacial. Para abordar esta deficiencia, este trabajo examina qué factores hacen que los consumidores participen en el turismo espacial orbital y/o suborbital, junto con tres dimensiones de motivación, restricción e inteligencia artificial. Para lograr los objetivos del estudio, se desarrolló un modelo de investigación integral que incluía tres dimensiones de motivación intrínseca y extrínseca, restricción intrapersonal e interpersonal, y conocimiento y confianza en la inteligencia artificial, al comparar grupos de turismo espacial orbital y suborbital.

se realizó un cuestionario con los encuestados que querían participar en el turismo espacial orbital (n = 332) y suborbital (n = 332) en el futuro. Se utilizaron modelos de ecuaciones estructurales (SEM) de mínimos cuadrados parciales (PLS), análisis comparativo cualitativo de conjuntos borrosos (fsQCA), análisis multigrupo y aprendizaje profundo para comprender el comportamiento potencial del turista espacial.

la motivación extrínseca tiene el mayor impacto positivo en la intención de comportamiento, seguida de la conciencia y la confianza en la inteligencia artificial, mientras que la restricción intrapersonal afecta negativamente la intención de comportamiento. Sorprendentemente, la restricción interpersonal es insignificante por PLS-SEM, pero sigue siendo una de las configuraciones causales suficientes por fsQCA. Curiosamente, los dos tipos de turismo espacial tienen características muy distintas.

este trabajo creó un modelo de investigación integral integral con tres dimensiones de motivación, restricción e inteligencia artificial, junto con posibles grupos de turistas espaciales orbitales y suborbitales para identificar el comportamiento futuro del consumidor. Es importante destacar que este estudio empleó métodos de análisis múltiple utilizando cuatro enfoques diferentes para arrojar mejor luz sobre los posibles turistas espaciales orbitales y suborbitales.

The Pacific Island countries are culturally diverse, politically challenging, extremely vulnerable to climate change and natural disaster impacts, and financially heavily dependent on aid flows. This chapter examines barriers and opportunities for Green growth (GG) to flourish in a country with a practically non-existent real economy and which is currently under the threat of disappearance under water. It draws on a visiting experience and lessons from the literature and tries to investigate the role of innovation and entrepreneurship as poles of re-birth and local creativity. More particularly, I here discuss why a least developed country such as Kiribati might be the perfect location for dynamics of GG to get born and how, Kiribati, a country under threat and fear, can be transformed into a lighthouse of entrepreneurship which can give boost to the implementation of one of the most advanced energy technologies in the world. I also discuss how, ultimately, a “least developed economy” can secure scientific lessons, which are highly significant for the international knowledge society.

Provides a comparison of the press coverage of the introduction of IVF in different contexts, giving a vantage point for examining the variability and the context‐dependence of the issue. Sheds some light on the cultural‐political‐social problems that the new technology entails. Contrasts the differences between Canada and Israel, showing that both countries endorse modern technology in the field of medidine: in both countries, IVF was imported about the same time and both used the US and Britain as a frame of reference and model rather than local developments. Shows the cultural differences of how each culture embraced the new technology.

The purpose of this paper is to develop a narrative framework for doing empirical research into business ethics and shows, through two examples, how the framework can be applied in practice in this context. The focus is on interview-based research.

A theoretical research based on literature review was conducted.

In the developed narrative framework, two main kinds of analysis are distinguished: an analysis of the narrative and a narrative analysis. An analysis of the narrative is a matter of classifying and producing taxonomies out of the data. The purpose of a narrative analysis is to construct a story or stories based on the data. Narrative analysis differs from the analysis of narratives in that the story does not exist prior to the analysis, but is created during the analysis.

The proposed narrative framework helps those doing empirical research into business ethics avoid simplistic “black and white” interpretations of their material, and helps them to show that ethical realities in the business world are often complex, various and multiple.

The paper offers a methodological framework for those doing qualitative research into business ethics which will increase the quality and rigor of their studies.

A value of the narrative approach is that the stories offer researchers an entry point to understanding the complexity of ethics and how people make sense of this complexity. The paper shows in detail how the methods presented can be used in practice in empirical research.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Tenn. 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.