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1 – 10 of 292Jonathan David Schöps, Christian Reinhardt and Andrea Hemetsberger
Digital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization…
Abstract
Purpose
Digital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization. This study aims to explore how interactional dynamics between (non)human market actors co-codify markets through expressive and networked content across social media platforms.
Design/methodology/approach
This study applies digital methods as cross-platform analysis to analyze two data sets retrieved from YouTube and Instagram using the keywords “sustainable fashion” and #sustainablefashion, respectively.
Findings
The study shows how interactional dynamics between (non)human market actors, co-codify markets across two social media platforms, i.e. YouTube and Instagram. The authors introduce the notion of sticky market webs of connection, illustrating how these dynamics foster cross-platform market codification through relations of exteriority.
Research limitations/implications
Research implications highlight the necessity to account for all involved entities, including digital infrastructure in digital markets and the methodological potential of cross-platform analyses.
Practical implications
Practical implications highlight considerations managers should take into account when designing market communication for digital markets composed of (non)human market actors.
Social implications
Social implications highlight the possible effects of (non)human market co-codification on markets and consumer culture, and corresponding countermeasures.
Originality/value
This study contributes to an increased understanding of digital market dynamics by illuminating interdependent market co-codification dynamics between (non)human market actors, and how these dynamics (de)territorialize digital market assemblages through relations of exteriority across platforms.
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Jessica Babin and John Hulland
Some consumers are engaged in online curation, a type of user-generated content, in ways that can be impactful for brands. An example of online curation includes organizing themed…
Abstract
Purpose
Some consumers are engaged in online curation, a type of user-generated content, in ways that can be impactful for brands. An example of online curation includes organizing themed collections of product images on Pinterest. The purpose of this paper is to present a framework of online consumer curation, introducing this topic to the marketing literature.
Design/methodology/approach
Through the analysis of the business and academic literature, as well as a careful study of many examples of online consumer curation, the authors present a framework for understanding online consumer curation.
Findings
The actions taken by online consumer curators are similar to those of museum or art gallery curators: acquiring, selecting, organizing and displaying content for an audience. The motivations for consumers to engage in online curation include building/displaying their identities and making social connections with their online audience. One outcome possible for the audience that views the curation is gaining access to carefully selected and recommended content.
Research limitations/implications
As online consumer curation is a new area of research, the authors suggest several marketing- and brand-relevant propositions that can be addressed in future research.
Practical implications
As consumers are frequently using product images and brand symbols in their online curation, it is important for marketing academics and practitioners to understand their actions.
Originality/value
The aim of the paper is to present a thorough introduction to the idea of online consumer curation by outlining relevant examples, providing a framework for understanding this activity and its implications for brand management, and listing ideas for future research.
Propósito
Algunos consumidores se dedican a la “curación” en línea, un tipo de contenido generado por el usuario (UGC), de manera que pueden ser impactantes para las marcas. Un ejemplo de “curación” en línea incluye la organización de colecciones temáticas de imágenes de productos en Pinterest. El propósito de esta investigación es presentar un marco sobre la “curación” del consumidor en línea, introduciendo este tema en la literatura de marketing.
Diseño/metodología/enfoque
A través de nuestro análisis de la literatura académica y empresarial, así como del estudio cuidadoso de muchos ejemplos de “curación” de los consumidores en línea, presentamos un marco para comprender la “curación” de los consumidores en línea.
Hallazgos
Las acciones realizadas por los “curadores” son similares a las de sus homólogos en museos o galerías de arte: adquirir, seleccionar, organizar y mostrar contenido para una audiencia. Las motivaciones para que los consumidores participen en la “curación” en línea incluyen construir/mostrar sus identidades y establecer conexiones sociales con su audiencia en línea. Un resultado posible para la audiencia que ve la “curación” es obtener acceso a contenido cuidadosamente seleccionado y recomendado.
Implicaciones teóricas
Como la “curación” en línea es una nueva área de investigación, sugerimos varias propuestas relevantes de marketing y marca que pueden abordarse en futuras investigaciones.
Implicaciones prácticas
Como los consumidores utilizan con frecuencia imágenes de productos y símbolos de marca en su “curación” en línea, es importante que los académicos y profesionales de marketing comprendan sus acciones.
Originalidad/valor
La investigación presenta una introducción exhaustiva a la idea de la “curación” del consumidor en línea describiendo ejemplos relevantes, proporcionando un marco para comprender esta actividad y sus implicaciones para la gestión de la marca, y enumerando ideas para futuras investigaciones.
Palabras clave
“Curación” del consumidor en línea, Comportamiento del consumidor en línea, Contenido generado por el usuario, Gestión de marca
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Keywords
This study, a conceptual paper, analyses the growth of curation in tourism and hospitality and the curator role in selecting and framing products and experiences. It considers the…
Abstract
Purpose
This study, a conceptual paper, analyses the growth of curation in tourism and hospitality and the curator role in selecting and framing products and experiences. It considers the growth of expert, algorithmic, social and co-creative curation modes and their effects.
Design/methodology/approach
Narrative and integrative reviews of literature on curation and tourism and hospitality are used to develop a typology of curation and identify different curation modes.
Findings
Curational techniques are increasingly used to organise experience supply and distribution in mainstream fields, including media, retailing and fashion. In tourism and hospitality, curated tourism, curated hospitality brands and food offerings and place curation by destination marketing organisations are growing. Curation is undertaken by experts, algorithms and social groups and involves many of destination-related actors, producing a trend towards “hybrid curation” of places.
Research limitations/implications
Research is needed on different forms of curation, their differential effects and the power roles of different curational modes.
Practical implications
Curation is a widespread intermediary function in tourism and hospitality, supporting better consumer choice. New curators influence experience supply and the distribution of consumer attention, shaping markets and co-creative activities. Increased curatorial activity should stimulate aesthetic and stylistic innovation and provide the basis for storytelling and narrative in tourism and hospitality.
Originality/value
This is the first study of curational strategies in tourism and hospitality, providing a definition and typology of curation, and linking micro and macro levels of analysis. It suggests the growth of choice-based logic alongside service-dominant logic in tourism and hospitality.
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Abstract
Details
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Bianca Kronemann, Hatice Kizgin, Nripendra Rana and Yogesh K. Dwivedi
This paper aims to explore the overall research question “How can artificial intelligence (AI) influence consumer information disclosure?”. It considers how anthropomorphism of…
Abstract
Purpose
This paper aims to explore the overall research question “How can artificial intelligence (AI) influence consumer information disclosure?”. It considers how anthropomorphism of AI, personalisation and privacy concerns influence consumers’ attitudes and encourage disclosure of their private information.
Design/methodology/approach
This research draws upon the personalisation-privacy paradox (PPP) and privacy calculus theory (PCT) to address the research question and examine how AI can influence consumer information disclosure. It is proposed that anthropomorphism of AI and personalisation positively influence consumer attitudes and intentions to disclose personal information to a digital assistant, while privacy concerns negatively affect attitude and information disclosure.
Findings
This paper develops a conceptual model based on and presents seven research propositions (RPs) for future research.
Originality/value
Building upon PPP and PCT, this paper presents a view on the benefits and drawbacks of AI from a consumer perspective. This paper contributes to literature by critically reflecting upon on the question how consumer information disclosure is influenced by AI. In addition, seven RPs and future research areas are outlined in relation to privacy and consumer information disclosure in relation to AI.
¿Cómo anima la IA a los consumidores a compartir sus secretos?
El papel del antropomorfismo, la personalización y los problemas de privacidad y perspectivas para la investigación futura
Resumen
Propósito
Este artículo explora la pregunta general de investigación “¿Cómo puede influir la inteligencia artificial (IA) en la divulgación de información por parte de los consumidores? Se analiza cómo el antropomorfismo de la IA, la personalización y la preocupación por la privacidad influyen en la actitud de los consumidores y fomentan la revelación de su información privada.
Diseño/metodología/enfoque
Esta investigación se basa en la paradoja de la personalización y la privacidad y en la teoría del cálculo de la privacidad para abordar la pregunta de investigación y examinar cómo la IA puede influir en la revelación de información de los consumidores. Se propone que el antropomorfismo de la IA y la personalización influyen positivamente en las actitudes de los consumidores y en su intención de revelar información personal a un asistente digital, mientras que la preocupación por la privacidad afecta negativamente a la actitud y a la revelación de información.
Conclusiones
Este artículo desarrolla un modelo conceptual basado en siete propuestas de investigación para el futuro.
Originalidad
Basándose en la paradoja de la personalización y la privacidad y en la teoría del cálculo de la privacidad, este artículo presenta un punto de vista sobre los beneficios e inconvenientes de la IA desde la perspectiva del consumidor. Este artículo contribuye a la literatura al reflexionar de forma crítica sobre la cuestión de cómo influye la IA en la revelación de información del consumidor. Además, se esbozan siete propuestas de investigación y futuras áreas de investigación en relación con la privacidad y la divulgación de información del consumidor en relación con la IA.
人工智能如何
鼓励消费者分享他们的秘密?拟人化、个性化和隐私问题的作用以及未来研究的途径
摘要
目的
本文探讨了 “人工智能如何影响消费者的信息披露?"这一总体研究问题。它考虑了人工智能(AI)的拟人化、个性化和隐私问题是如何影响消费者的态度并鼓励他们披露私人信息的。
设计/方法/途径
本研究借鉴了个性化-隐私悖论和隐私计算理论来解决研究问题, 并研究人工智能如何影响消费者信息披露。本文提出, 人工智能的拟人化和个性化对消费者向数字助理披露个人信息的态度和意图有积极影响, 而隐私问题对态度和信息披露有消极影响。
研究结果
本文在此基础上建立了一个概念模型, 并为未来的研究提出了七个研究命题。
原创性
在个性化-隐私悖论和隐私计算理论的基础上, 本文从消费者的角度提出了对人工智能的好处和坏处的看法。本文通过对消费者信息披露如何受到人工智能影响的问题进行批判性反思, 对文献做出了贡献。此外, 本文概述了与人工智能相关的隐私和消费者信息披露方面的七个研究命题和未来研究领域。
Details
Keywords
- Anthropomorphism
- Artificial intelligence (AI)
- Conversational agent
- Information disclosure
- Privacy calculus theory
- Privacy-personalisation paradox
- Antropomorfismo
- Inteligencia artificial (IA)
- Agente conversacional
- Revelación de información
- Teoría del cálculo de la privacidad
- Paradoja privacidad-personalización
- 拟人化
- 人工智能(AI)
- 对话代理
- 信息披露
- 隐私计算理论
- 隐私-个性化悖论