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This paper aims to investigate the extent to which greenhouse gas (GHG)-sensitive companies in the FTSE 100 disclose carbon emission information in their annual reports and stand-alone reports during the period of 2004-2012 and how they respond to the launch of legally binding GHG-reduction schemes – the European (EU) Emission Trading Scheme (EU ETS) and the Climate Change Act (CCA).

A 42-item disclosure index is constructed to analyse the quality of corporate GHG disclosures. The authors initially chart the development of corporate GHG disclosure from 2004 to 2012, analyse the trend of disclosure development and compare variances for the convergence of disclosures. Subsequently the authors carry out a t-test to assess the significance of post-EU ETS and -CCA changes and the difference between GHG trading account holders (AH) and non-account holders (NAH).

The results show that GHG disclosures have been increasing over time, both in number of firms making disclosures and in the amount of information being reported, which indicate the movement towards normativity. The authors also find that the disclosures reach the peak after the enactment of EU ETS and CCA, and firms with carbon trading accounts are more responsive to these schemes than those without accounts. Nevertheless, the quality of the disclosure remains low, which may justify the further government intervention of mandating carbon reporting.

This is the first paper that has examined the regulatory effects on GHG disclosures in an environment where GHG emission triggers direct cost for companies.

The purpose of this paper is to examine peer-to-peer sharing platform business models, their sources of competitive advantage, and the roles, motivations and behaviors of key actors in their ecosystems.

This paper uses a conceptual approach that is rooted in the service, tourism and hospitality, and strategy literature.

First, this paper defines key types of platform business models in the sharing economy anddescribes their characteristics. In particular, the authors propose the differentiation between sharing platforms of capacity-constrained vs capacity-unconstrained assets and advance five core properties of the former. Second, the authors contrast platform business models with their pipeline business model counterparts to understand the fundamental differences between them. One important conclusion is that platforms cater to vastly more heterogeneous assets and consumer needs and, therefore, require liquidity and analytics for high-quality matching. Third, the authors examine the competitive position of platforms and conclude that their widely taken “winner takes it all” assumption is not valid. Primary network effects are less important once a critical level of liquidity has been reached and may even turn negative if increased listings raise friction in the form of search costs. Once a critical level of liquidity has been reached, a platform’s competitive position depends on stakeholder trust and service provider and user loyalty. Fourth, the authors integrate and synthesize the literature on key platform stakeholders of platform businesses (i.e. users, service providers, and regulators) and their roles and motivations. Finally, directions for further research are advanced.

This paper helps platform owners, service providers and users understand better the implications of sharing platform business models and how to position themselves in such ecosystems.

This paper integrates the extant literature on sharing platforms, takes a novel approach in delineating their key properties and dimensions, and provides insights into the evolving and dynamic forms of sharing platforms including converging business models.

The purpose of this paper is to propose a dedication-constraint-temptation (DCT) model to study the factors influencing customers’ loyalty to mobile data service (MDS) providers. The DCT model explicitly explores the important yet overlooked role of alternative attractiveness (the temptation-based mechanism) as a mediator and the boundary condition of their interrelationships (e.g. relationship length). The model also integrates new and established antecedents of customer-based brand equity (C-BBE) (the dedication-based mechanism) and switching barriers (the constraint-based mechanism).

The proposed model is tested using partial least squares–structural equation modeling with a sample of 331 MDS users.

The results indicate that C-BBE has an indirect effect on customer loyalty (via alternative attractiveness) in both relationship groups (shorter- vs longer-term). However, the indirect effect of switching barriers on customer loyalty only exists in longer established relationships. The results from multi-group analysis reveal that the effect of switching barriers on alternative attractiveness significantly differs across groups. In addition, customer value anticipation and procedural switching costs appear to be the most salient antecedents of C-BBE and switching barriers for both groups.

This study makes an incremental contribution by incorporating the temptation-based mechanism as a mediator and relationship length as a moderator into the dedication-constraint model. This study also extends the information systems and brand management literatures by demonstrating the strategic importance of customer value anticipation in the information and communication technology brand equity-building.

Sex appeal has been widely used in most countries. However, little is known about consumers' responses to sex appeal advertising in different cultures. The purpose of this paper is to examine the effect of sex appeal on ad and brand evaluation among Australian, Chinese and US consumers.

The paper adopted a three (Australia, China and the USA) × two (male or female model) × two (low or high level of sex appeal) between‐group factorial design.

Australian, Chinese and US consumers have significantly different attitudes when exposed to the same ad. However, consumer buying intentions towards the advertised brand are not significantly different. Despite the general assumption that Chinese consumers might react least favourably to sex appeal ads, this paper finds that they hold similar attitudes towards sex appeal ads as US consumers and even more favourable attitudes than Australian consumers. Product involvement is found to be a significant covariate.

The sample includes young consumers, who may be more tolerant to sex appeal advertising than older generations in China. A similar situation may exist in Australia and the USA.

Understanding how consumers in different cultures respond to different advertising appeal strategies is important for international advertisers.

This is the first reported empirical study that compares Chinese consumers' responses to sex appeal advertising with those in Western countries. Findings add to the understanding of the standardisation‐localisation debate.

Corporate social responsibility (CSR) marketing has become ubiquitous in the hospitality industry. The purpose of this paper is to examine the effectiveness of donation appeals containing warmth-focused versus competence-focused messages in hospitality CSR marketing. Moreover, we offer an innovative visual design strategy focusing on the typeface (handwritten vs machine-written) in donation appeals to encourage consumers’ donations and boost their brand loyalty.

This research used a 2 (message framing: warmth-focused vs competence-focused) × 2 (typeface: handwritten vs machine-written) between-subjects experimental design.

The findings suggest that donation appeals featuring warmth-focused messages combined with handwritten typeface and competence-focused messages combined with machine-written typeface can maximize donation intention and brand loyalty. Furthermore, results from the moderated mediation analyses indicate that brand trust is the psychological mechanism underlying these effects.

Hospitality managers should use typeface design, which is easy and inexpensive to manipulate, to enhance the effectiveness of CSR marketing. Specifically, for donation appeals featuring warmth-focused (competence-focused) messages, the handwritten (machine-written) typeface can boost consumers’ donation intention and brand loyalty.

To the best of the authors’ knowledge, this research is the first to reveal the competitive advantage of typeface design in hospitality CSR marketing. This research sheds light on the congruency effects of message framing and typeface design in donation appeals on consumers’ donation intention and brand loyalty while using the contemporary context of The Coronavirus Disease 2019 to test the theory.

With the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage innovative and new genres emerge. This compels the academic community to examine craft from a new perspective. It is very helpful to understand the hidden representational structure of craft more deeply and improve the craft innovation system of cultural and creative products that we deconstruct the craft based on Complex Network and discover its intrinsic connections.

The research crawled and cleaned the craft information of the top 20% products on the Forbidden City’s cultural and creative products online and then performed Complex Network modeling, constructed three craft representation networks among function, material and technique, quantified and analyzed the inner connections and network structure of the craft elements, and then analyzed the cultural inheritance and innovation embedded in the craft representation networks.

The three dichotomous craft representation networks constructed by combining function, material and technique: (1) the network density is low and none of them has small-world characteristics, indicating that the innovative heritage of the craft elements in the Forbidden City’s cultural and creative products is at the stage of continuous exploration and development, and multiple coupling innovation is still insufficient; (2) all have scale-free characteristics and there is still a certain degree of community structure within each network, indicating that the coupling innovation of craft elements of the Forbidden City’s cultural and creative products is seriously uneven, with some specific “grammatical combinations” and an Island Effect in the network structure; (3) the craft elements with high network centrality emphasize the characteristics of decorative culture and design for the masses, as well as the pursuit of production efficiency and economic benefits, which represent the aesthetic purport of contemporary Chinese society and the ideological trend of production and life.

The Forbidden City’s cultural and creative products should continue to develop and enrich the multi-coupling innovation of craft elements, clarify and continue their own brand unique craft genes, and make full use of the network important nodes role.

The purpose of this investigation is to gain insight into parents' perceptions of benefits vs burdens (value) of educational and healthcare service received for their child with ASD. Parents are the main integrators of long-term educational and healthcare service for their child with ASD.

Design/methodology/approach included (1) a sentiment analysis of discussion forum posts from an autism message board using a rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media and (2) a qualitative content analysis of one-on-one interviews with parents of children diagnosed with ASD, complemented with interviews with experienced educators and clinicians.

Findings reveal the link between customized service integration and long-term benefits. Both parents and service providers emphasize the need to integrate healthcare and educational service to create holistic long-term care for a child with ASD. Parents highlight the benefits of varied services, but availability or cost are burdens if the service is not publicly provided, or covered by insurance. Service providers' lack of experience with ASD and people's ignorance of the challenges of ASD are burdens.

Ensuring health outcomes for a child with ASD requires an integrated service system and long-term, customer-centric service process because the scope of service covers the child's entire childhood. Customized educational and healthcare service must be allocated and budgeted early in order to reach the goal of a satisfactory service output for each child.

This is the first service research to focus on parents' challenges with obtaining services for their child with ASD. This paper provides service researchers and managers insight into parents' perceptions of educational and healthcare service value (i.e. benefits vs. burdens) received for their child with ASD. These insights into customer-centric perceptions of value may be useful to research and may help service providers to innovate and provide integrated service directly to parents, or indirectly to service providers, who serve children with ASD.

An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.

This article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.

This article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.

This paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.

This article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.

Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic.

The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed.

Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account.

Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future.

Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world.

A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.