Search results

Collaborative consumption, such as car sharing, specifically implicates customer-to-customer interaction, which must be regulated by service providers (companies, peers and self-regulating communities), comprising different challenges for business organizations. While in conventional business relations, consumers are protected from undesirable customer behavior by laws, regulations (power) in the context of collaborative consumption are rare, so that trust becomes more relevant. It is the purpose of the study to investigate possible mechanisms to prevent undesirable customers in collaborative consumption.

In between subject designs, samples of 186 and 328 consumers filled in experimental online questionnaires with vignettes. Analyses were made of differences among car sharing companies, private persons and car sharing communities in terms of the power of providers, trust in providers and trust in other users of the shared goods, undesirable customer behavior and consumer–provider relations.

Companies, private persons and self-regulating communities differ in terms of perceived power and trust. Participants specifically perceive mainly coercive power with the car sharing company, but with the private person and the community, reason-based trust in other users is perceived as prevalent. Nevertheless, undesirable customer behavior varies only marginally over the models.

The present study is the first to investigate measures to prevent undesirable customer behavior over different collaborative consumption models. This enables appropriate identification of market segments and tailoring of services. The study identifies opportunities for companies in contrast to private persons and self-regulating communities and, in doing so, provides important stimulation for marketing strategy and theory development.

The purpose of this study is to conceptually address the understanding of certain consumers and businesses that show new dynamics, including a heightened interest in quality and the concomitant development of entities and mechanisms designed to ensure certain standards as well as an increased level of involvement of the consumer with the product. These segments are identified and labeled as sophisticated markets.

Through a literature review following a conceptual model methodology, this study poses eight research propositions to seek a more profound and comprehensive understanding of this type of market that could potentially benefit several industries. This study explores and discusses some of the essential differences of sophisticated markets with a twofold purpose: to recognize the existence of sophisticated markets as a distinct category and suggest issues that may constitute interesting further research works.

The process of sophistication might occur in different industries. This study poses implications of sophisticated markets to better understand consumers and business through research propositions that can be classified into two main domains: consumer–firm relationships and communicational implications.

Previous studies addressing luxury or specialized markets have not considered these terms to be sufficient to describe what we propose be labeled as a sophisticated market. This study addresses this gap in literature and proposes a streamline of research that pursues a deeper understanding of this phenomenon.

Este estudio aborda de forma conceptual dinámicas novedosas que se están presentando en el ámbito de ciertos segmentos de consumidores y de ciertos sectores empresariales. Estas nuevas dinámicas incluyen elementos como un mayor interés en la calidad y en el desarrollo de satisfactores encaminados al aseguramiento de ciertos estándares, así como un mayor nivel de involucramiento del consumidor con el producto. Estos segmentos son identificados y etiquetados aquí como mercados sofisticados.

A través de una revisión de la literatura, siguiendo una metodología de modelo conceptual, este estudio plantea ocho proposiciones científicas dirigidas a la búsqueda de una comprensión más profunda y completa de este tipo de mercados. Este artículo explora y discute algunas de las diferencias esenciales de los mercados sofisticados, con respecto a los mercados tradicionales, con un doble propósito: (1) reconocer la existencia de los mercados sofisticados como una categoría distinta de negocio y (2) sugerir elementos y relaciones que pueden constituir trabajos interesantes de investigación a futuro.

Este proceso de sofisticación puede ocurrir en diferentes industrias. A través de estas proposiciones de investigación, este trabajo plantea elementos que pueden ayudar a incrementar el entendimiento que tenemos de este tipo de consumidores y empresas en dos grandes vertientes: la relación consumidor-empresa, y las implicaciones de la comunicación hacia estos segmentos sofisticados.

Estudios previos enfocados en bienes de lujo o mercados especializados no logran explicar lo que proponemos aquí como el fenómeno de mercados sofisticados. Este estudio busca cubrir este vacío en la literatura proponiendo líneas de investigación encaminadas a profundizar en el entendimiento de este fenómeno.

Este estudo aborda de forma conceitual dinâmicas inovadoras que estão surgindo no âmbito de certos segmentos de consumidores e setores empresariais. Essas novas dinâmicas incluem elementos como maior interesse na qualidade e no desenvolvimento de satisfatores voltados para garantir determinados padrões, bem como maior envolvimento do consumidor com o produto. Esses segmentos são identificados e rotulados aqui como mercados sofisticados.

Através de uma revisão da literatura, seguindo uma metodologia de modelo conceitual, este estudo apresenta oito proposições científicas voltadas para a busca de uma compreensão mais profunda e completa desse tipo de mercados. Este artigo explora e discute algumas das diferenças essenciais dos mercados sofisticados em relação aos mercados tradicionais, com um duplo propósito: (1) reconhecer a existência dos mercados sofisticados como uma categoria distinta de negócios e (2) sugerir elementos e relações que podem constituir trabalhos interessantes de pesquisa no futuro.

Este processo de sofisticação pode ocorrer em diferentes indústrias. Através dessas proposições de pesquisa, este trabalho apresenta elementos que podem ajudar a aumentar a compreensão que temos desse tipo de consumidores e empresas em duas grandes vertentes: a relação consumidor-empresa e as implicações da comunicação para esses segmentos sofisticados.

Estudos prévios focados em bens de luxo ou mercados especializados não conseguem explicar o que propomos aqui como o fenômeno de mercados sofisticados. Este estudo busca preencher essa lacuna na literatura propondo linhas de pesquisa com o objetivo de aprofundar a compreensão desse fenômeno.

Taking into account retailers' critical position in the value chain, their sector's economic significance and environmental externalities, in addition to the institutional agenda, this paper aims to explore the drivers influencing retailers to shift to more sustainable business models.

The paper utilises the institutional competing logic, including in-depth interviews with major supermarket retail chains and one expert group discussion. The data gathered in Germany and Lithuania were complemented by desk research analysis, including corporate social responsibility (CSR) reports and management reports.

The paper provides empirical insights into how multiple drivers through institutional competing logic are brought about influencing the shift to more sustainable business models. The results show that retail chains in both countries implement their sustainability based on triple environmental-legal-financial drivers. However, different types of retail chains–namely premium retailers, typical retailers and discounters–implement their sustainability discourse differently.

Because of the chosen research approach, the results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further.

Interestingly, retailers “shift” their responsibility to the consumers rather than encourage themselves to make more sustainable choices. The authors observe a more passive and responsive role of retailing chains because of the inherent trade-off between revenue growth and sustainable consumption.

The original contribution lies in exploring how retail chains adapt institutional competing logic and are influenced by multiple drivers when implementing their sustainability activities. In addition, the authors propose a conceptual model for retailers' sustainability management, as well as formulate three research propositions.

The trend toward subscription economy accelerated the rise of access-based consumption models for durable consumer goods, replacing individual ownership with subscription contracts. At the same time, disruptive platform businesses have arisen in several consumer markets, bypassing traditional value chains while growing through network effects. In a conceptual approach, the authors address the future market for durable consumer goods in light of developments toward access-based consumption, subscription models and platform business models.

In a conceptual approach, the authors apply a scenario analysis following the Framework Foresight method and address trends, constants, plans and projections shaping the future market of subscriptions for durable goods. The authors create a baseline scenario and two alternative scenarios for the future of consumer durables and thereby discuss platform growth stages and implications for manufacturer brands.

The rising market power of platform companies leads to a baseline scenario where these platforms enter the market of subscriptions for durable goods. Alternative scenario 1 addresses the successful market entry of new platform businesses. In contrast, alternative scenario 2 describes the rise of manufacturer brand platforms.

This conceptual research enriches the discussion of access-based business models by creating scenarios depicting possible future developments. Moreover, it adds to the increasing focus on platform business models and thereby addresses the role of traditional manufacturer brands in markets for durable consumer goods subscriptions.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

In the presence of coronavirus disease 2019 (COVID-19), due to the social distance restriction, consumers' regular consumption behaviors and patterns have been changing fundamentally. Thereafter, an innovative group buying model has emerged and developed explosively with a specific focus on consumer's location, known as community-based group buying (CGB). The purpose of this paper is to investigate the transfer mechanism of user's trust in dyadic contexts of social and commercial role-playing in the CGB program.

This study adopts an empirical research method, with an online and offline questionnaire survey, a total of 382 responses have been obtained. Then, both descriptive analysis and hierarchical regression analysis are conducted to explore the dual roles of group leader and its corresponding effects on consumers' trust (i.e. emotional trust and behavioral trust) and engagement actions (i.e. purchase and share) in the CGB program.

Results indicate that resident's trust and their perception of group leader's friend role can positively enhance their engagement actions in the CGB programs. Meanwhile, for the purpose of profit maximization, the group leader is more willing to play a friend role in transactions no matter whether the role conflict exists.

Research findings provide some managerial insights for CGB platform on the selection and training of group leaders and the incentive mechanism design.

This paper examines the direct relationship between perceived corporate citizenship (CC) and purchase intention. This study also tests the mediating role of brand trust (BT), consumer–brand identification (CBI) and the moderating effect of personal norms and fear to coronavirus disease 2019 (COVID-19) by contributing social exchange theory (SET), brand relationship theory, social cognitive theory (SCT) and fear appeal theory.

Quantitative research was carried out by means of a survey with a sample of 411 regular consumers who work for national retail brands, where the unit of analysis was an individual. The study analysed the data to test the research hypotheses using SPSS and SMART partial least squares (PLS).

This study found a significant positive impact of perceived CC on purchase intention (direct path), and furthermore, a partial mediation was shown for the indirect approach. In addition, personal norms and fear to COVID-19 have a significant impact on the relationships between perceived CC on purchase intention, BT on purchase intention and CBI on purchase intention.

This study provides useful insights for managers to implement CC strategies to enhance consumer purchase intention and brand relationship in the retail sector within the COVID-19 pandemic.

The current study is perhaps the first to investigate the impact of perceived CC on purchase intention across BT, CBI, personal norms and fear to COVID-19 in the retail industry, period of COVID-19 pandemic. The study also makes some significant theoretical contributions and previously did not shed light on customer behaviour in this context.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。

This study aims to explore the innovative strategies of business model of the free-to-fee switch, the relationship between the business model innovation and customer knowledge and further develop a conceptual model.

This study adopts a multiple case study method with abductive research logic, following the replication logic to select samples. A total of eight outstanding companies with altogether 312 free-to-fee switch events were selected from 1998 to 2021.

A strategic matrix with four innovative business models for the free-to-fee switch is generated. The parallelism between the models and customer knowledge orientations is also found. Further, the study develops the conceptual model regarding customer knowledge orientation as a key mediation.

The study highlights the conceptualization definition of customer knowledge orientation and its mediation effect to the business model innovation of free-to-fee switch, which is a new issue compared with previous research. Furthermore, it reveals that there exists organizational ambidexterity, which brings a new definition of customer knowledge orientation.

This study suggests how to integrate customer knowledge orientations to support the marketing process of the business model of free-to-fee switch. It also proposes a specific mechanism to conduct the free-to-fee switch with the introduction of four innovative strategic models and eight evolutional paths.

This study creatively proposes the strategic matrix and the conceptual model of business model innovation of free-to-fee switch. Moreover, a new conceptual definition of customer knowledge orientation is specified.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.