Search results

The purpose of this study is to gather insights into digital consumer behaviour related to Chinese restaurents by examining visual contents on Tripadvisor platform.

Using the deep learning approach, this research assessed consumer-posted online content of dining experiences by implementing image analysis and clustering. Text mining using word cloud analysis revealed the most frequently repeated keywords.

First, 4,000 photos of nine Chinese restaurants posted on Tripadvisor’s website were analyzed using image recognition via Inception V3 and Google’s deep learning network; this revealed 12 hierarchical image clusters. Then, an open-questionnaire survey of 125 Chinese respondents investigated consumers’ information needs before visiting a restaurant and after purchasing behavior (motives to share).

This study contributes to culinary marketing development by introducing a new analysis methodology and demonstrating its application by exploring a wide range of keywords and visual images published on the internet.

This research extends and contributes to the literature regarding visual user-generated content in culinary tourism.

This study aims to examine the perceived value of service digitalization in fine-dining restaurants in France. No study exists on this topic, and its aim is to address this research gap. To do so, a conceptual framework of the perceived benefits and costs of the service digitalization was developed. This study also provides actionable recommendations for fine-dining restaurant managers to create and manage an optimized fine-dining experience for their customers.

To obtain in-depth information, the authors opted for a qualitative research approach. The authors interviewed 24 fine-dining restaurant managers (listed in the Michelin Guide) and 29 customers of fine-dining restaurants using a video titled “The Restaurant of the Future.”

The findings underline the perceived benefits and costs of service digitalization for both restaurant managers and their customers. This study highlights that fine-dining restaurants are highly experience-centric compared to other types of restaurants and recommends which services should be digitalized and which should not be to create and manage experiences throughout the customer journey.

This research provides restaurants with actionable recommendations in terms of service digitalization to enhance customers’ fine-dining experiences.

This research fills a gap by proposing a conceptual framework to examine the digitalization of services in fine-dining restaurants.

To enhance the understanding of the moderating influence of different bottom of the pyramid (BOP) income segments on the antecedents of pro-poor innovation acceptance.

In this study, 320 BOP consumers with a range of low-to-moderate literacy and low-income levels were used as a convenience non-probability sample for undertaking quantitative analyses.

Only the influence of perceived usefulness on intention is moderated by income segments, such that the effect will be stronger for low-income BOP segment. Moreover, the influences of relative advantage, compatibility and observability on intention are moderated by income segments.

This empirical work has considerable private sector and public policy implications for companies and government designing/selling products for millions of poor people in developing and emerging economies.

This study contributes originally to knowledge in the subject area as there are very few studies that clearly and systematically analyse the key antecedents influencing the adoption intention of pro-poor technological innovations in the BOP market.

This paper aims to explore how visual comprehensibility of a product can affect innovation adoption among the bottom of the pyramid (BOP) consumers in Bangladesh.

This is an exploratory qualitative study based on interviews with eight managerial respondents involved in the design and marketing of innovative products targeted at BOP consumers in Bangladesh and three respondents who are consumers of these products.

One key finding from this research, in comparison to innovation adoption research in developed contexts, is the distinct importance that BOP consumers attach to visual cues in learning about and understanding a new product.

This research provides guidance for private and public sector organisations selling products and services to BOP consumers explaining the role of visual cues in generating better product comprehension. It also identifies the role of social relations in facilitating the adoption of new products within this segment.

By enhancing the adoption of so-called pro-poor innovations, this research can assist in bringing about positive social change and developmental benefits in this burgeoning segment of the market.

This is one of the first studies to consider innovation adoption of pro-poor innovations in BOP markets and one of the first studies to collect data on the role of visual comprehensibility for consumers in BOP markets.

Transnationalism and transnational concept are extensively researched in many social science areas; however, transnational management and transnational marketing is relatively a less explored research domain. Also, knowledge management for transnational education (TNE) marketing is not well-researched. Capacity building is an established research-stream, with a key focus on socio-economic and ecological development; however, prior research on capacity building from the context of TNE’s knowledge management and marketing is scarce. The purpose of this study is to analyse TNE marketing mix, to understand the influence of transnational stakeholders’ causal scope(s) on knowledge management in TNE to uphold their transnatioalisation processes through capacity building in TNEs’ marketing management.

An inductive constructivist method is followed.

Organisational learning from the context of transnational market and socio-economic competitive factors, based on analysing the transnational stakeholders’ causal scope(s) is imperative for proactive knowledge management capacity in TNE marketing. Following the analysis of transnational stakeholders’ causal scope(s) to learn about the cause and consequence of the transnational stakeholders’ relationships and interactions, an initial conceptual framework of knowledge management for TNE marketing is proposed. Practical insights from different TNE markets are developed in support of this novel knowledge management capacity building framework of TNE, and its generalisation perspectives and future research areas are discussed.

These insights will be useful for TNE administrators to better align their knowledge management perspectives and propositions with their transnational stakeholders to underpin TNE marketing. Academics will be able to use these insights as a basis for future research.

This study proposes a novel conceptual stakeholder-centred capacity building framework for TNE’s knowledge management to uphold TNE marketing and supports the framework, based on practical insights from three different transnational markets.

This study aimed to (a) investigate the effects of robot service efficiency, enthusiastic curiosity, escapist experience and sense of security on perceived experience value (PEV) and identify which dimension is the strongest determinant of PEV; (b) examine PEV’s effect on behavioral intention to dine in a robot-enhanced restaurant (RER); (c) examine cultural differences (Kazakh vs. United States consumers) on these dynamics; and (d) examine gender’s moderating effect between PEV and behavioral intention to dine in an RER.

The data were collected through a self-administered online survey based on a convenience nonprobability sampling technique with participants in Kazakhstan and the US Partial least squares structural equation modeling was used to investigate relationships between the constructs.

The findings indicated that PEV was influenced positively and significantly by robot service efficiency, enthusiastic curiosity, escapist experience and sense of security. Gender moderated the relationship between PEV and behavioral intention. Also, multigroup analyses found notable behavioral differences between Kazakh and US participants.

Grounded in Expectancy-value Theory, the present study demonstrated the effects of experiential (escapist experience), psycho-emotional (enthusiastic curiosity) and quality conditions (service efficiency and sense of security) on PEV and consumers’ behavioral intentions, with variations observed across genders and cultures.

本研究旨在：(a) 探讨机器人服务效率、好奇心、逃避体验和安全感对感知体验价值（PEV）的影响, 并确定哪个维度是PEV的最强决定因素; (b) 检验PEV对在机器人增强餐厅（RER）用餐的行为意图的影响; (c) 探讨这些动态中的文化差异（哈萨克消费者与美国消费者）; (d) 检验性别在PEV与在RER用餐行为意图之间的调节作用。

数据通过自填式在线调查收集, 采用便利非概率抽样方法, 参与者来自哈萨克斯坦和美国。研究采用偏最小二乘结构方程模型来分析构念之间的关系。

结果表明, 机器人服务效率、好奇心、逃避体验和安全感对PEV均具有正向显著影响。性别调节了PEV与行为意图之间的关系。此外, 多组分析发现了哈萨克和美国参与者之间显著的行为差异。

本研究基于期望-价值理论, 展示了体验性因素（逃避体验）、心理情感因素（好奇心）和质量条件（服务效率和安全感）对PEV和消费者行为意图的影响, 并观察到性别和文化上的差异。

This study aims to examine the perceived values of the metaverse when adopting it in the luxury hospitality business. Based on the cost–benefit perspective, this research provides solid theoretical contributions and actionable managerial recommendations.

An exploratory sequential mixed-method design was used. For the qualitative phase, 21 hotel managers and 24 hotel guests (who often stay in four-star and five-star hotels and resorts) were interviewed after showing them a series of videos about using the metaverse in the hotel business. Based on the results of the qualitative phase, the analytic hierarchy process method was used, and 476 valid questionnaires were analyzed.

The results highlight the perceived benefits (personalized services, immersive experience and positive brand image) and costs (lack of human touch, time and effort and security and privacy) of metaverse adoption for hotel managers and their guests. In addition, the study determines the weight of each value attribute of metaverse adoption for each travel stage (pre-travel, during travel and post-travel).

Regarding metaverse adoption, the research offers practical suggestions for luxury hotels. For instance, the cost of equipment and the time and effort required are perceived costs of metaverse adoption. To address these challenges, hotels may offer free equipment (e.g. VR headsets) and training to their guests to stimulate the use of the metaverse.

This study addresses a gap in the literature by presenting a conceptual framework for examining metaverse adoption in the luxury hotel scenario. Unlike using conventional models like the technology acceptance model or the unified theory of acceptance and use of technology to investigate a technology’s adoption, this study stands out by unraveling the topic through the lens of value proposition. The latter often comes from an efficient value co-creation process, which is indeed shaped by an adequate appreciation of the congruence of perceived values (i.e. perceived benefits and costs) of metaverse from hotel manager and guest perspectives.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

Pro-poor innovations are innovations targeted at economically poor consumers. These innovations have the potential to improve consumer wellbeing. However, while take up of some such innovations has been rapid (e.g., mobile phones) take up of others has been slower (e.g., fuel efficient stoves). What explains why some pro-poor innovations fail and some succeed? While the literature on consumer innovation adoption in economically wealthy countries is vast, there is very little literature in the context of the “bottom-of-the-pyramid” (BoP) and subsistence marketplaces. This chapter aims to begin answering this question through a review of the extant literature in the area of consumer innovation adoption, which is integrated with literature in the area of consumption within subsistence marketplaces and the BoP. A conceptual model is proposed which outlines key parameters for marketers and managers. The chapter closes by outlining implications and a future research agenda.