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This paper aims to provide a critical reflection on the experience design of the lifestyle communities in the hospitality and tourism industry. Specifically, this paper proposes a conceptual model that governs experience design in creating unique and memorable experiences for lifestyle communities.

This paper is based on a critical analysis of emerging phenomena, related literature and researchers’ experiences and insights.

The lifestyle community is conceptualized as a group of people who share a specific interest, value or activity and the type of its existence can be classified as physical, virtual or hybrid. As the importance of experience design has been highlighted in the hospitality and tourism industry, the study provides the guest experience design framework of lifestyle communities that suggests an operationalization of experience design that touches shared values of customers within lifestyle communities.

This study introduces a framework that highlights the role of experience design in the development of lifestyle communities, thereby enriching the emerging body of knowledge. Additionally, the research illustrates how lifestyle communities diverge from traditional hospitality business models by using distinctive positioning strategies.

This study provides practical implications on how to capture the growing number of customers represented by lifestyle communities in the future. A deep understanding of frameworks may be crucial to establishing the experience design of lifestyle communities to correspond to the future of the hospitality and tourism industry.

This study remarks an initial attempt to provide a critical reflection of a rising contemporary issue: experience design and lifestyle communities. Conceptualization through a profound reflection of the issue offers insights to define existing phenomena and suggestions to capture future opportunities and actual management. Furthermore, future research directions in hospitality and tourism are elucidated by the provided conceptual frameworks.

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.

The purpose of this paper is to investigate both the impact of different reward types and the adoption of knowledge-sharing practice on a crowdsourcing-based open innovation contest. Despite the benefit of knowledge sharing, contestants could struggle to find a balance between knowledge sharing and knowledge protection in open innovation.

The authors' approach follows a stylised contest model in a game-theoretical setting in which contestants first decide on their efforts and then the contest sponsor chooses the winner. Moreover, the outcome of an open innovation contest is delineated as either intermediate goods that require further refinement and risk-taking versus a market-ready end product for the contest sponsor. The authors also investigate how knowledge sharing among contestants would be influenced by reward types such as fixed-monetary prizes vs performance-contingent awards.

The contest sponsor will lower the prize level after adopting knowledge sharing. Therefore, the total effort will decline regardless of the reward type. Moreover, the choice of reward types depends on the contest sponsor's characteristics because the performance-contingent award is suitable for a large market size but the fixed-monetary prize can more efficiently raise the quantity of contestant inputs.

Prior studies have tested the connection between contest performance and knowledge sharing in crowdsourcing-based contests; however, there is not an integrated framework to best design the operation of a contest when considering different reward types and knowledge-sharing practices.

This paper aims to optimize cable-stayed force in asymmetric one-tower cable-stayed bridge formation using an improved particle swarm algorithm. It compares results with the traditional unconstrained minimum bending energy method.

This paper proposes an improved particle swarm algorithm to optimize cable-stayed force in bridge formation. It formulates a quadratic programming mathematical model considering the sum of bending energies of the main girder and bridge tower as the objective function. Constraints include displacements, stresses, cable-stayed force, and uniformity. The algorithm is applied to optimize the formation of an asymmetrical single-tower cable-stayed bridge, combining it with the finite element method.

The study’s findings reveal significant improvements over the minimum bending energy method. Results show that the structural displacement and internal force are within constraints, the maximum bending moment of the main girder decreases, resulting in smoother linear shape and more even internal force distribution. Additionally, the tower top offset decreases, and the bending moment change at the tower-beam junction is reduced. Moreover, diagonal cable force and cable force increase uniformly with cable length growth.

The improved particle swarm algorithm offers simplicity, effectiveness, and practicality in optimizing bridge-forming cable-staying force. It eliminates the need for arbitrary manual cable adjustments seen in traditional methods and effectively addresses the optimization challenge in asymmetric cable-stayed bridges.

The purpose of this paper is to analyze manufacturers' production decisions and governments' low-carbon policies in the context of influencer spillover effects.

This paper investigates the impact of the social influencer spillover effect on manufacturers' production decisions when they collaborate with intermediary platforms to sell products through marketplace or reseller modes. Game theory and static numerical comparison are used to analyze our models.

Firstly, under low-carbon policies, the spillover effect does not always benefit manufacturer profits and changes non-monotonically with an increasing spillover effect. Secondly, in cases where there are both a carbon emission constraint and a spillover effect present, if either the manufacturer or intermediary platform holds a strong position, then marketplace mode benefits manufacturer profits. Thirdly, regardless of business mode used when environmental damage coefficient is high for products; government should implement cap-and-trade regulation to optimize social welfare while reducing manufacturers’ carbon emissions.

This study offers theoretical and practical research support to assist manufacturers in optimizing production decisions for compliance with carbon emission limits, enhancing profits through the development of effective influencer marketing strategies, and providing strategies to mitigate carbon emissions and enhance social welfare while sustaining manufacturing activities.

This paper addresses the limitations of prior research by examining how the social influencer spillover effect influences manufacturers' business mode choices under government low-carbon policies and analyzing the social welfare of different carbon emission restrictions when such spillovers occur. Our findings provide valuable insights for manufacturers in selecting optimal marketing strategies and business modes and decision-makers in implementing effective regulations.

In China, having a home before getting married is viewed as being a crucial indicator of the sincerity of romance. Despite recent increases in housing costs, men who have their homes ready for marriage stand out in the marriage market. This study aims to explore the association between readiness to marry, marriage age and the home that men purchase prior to marriage using the China Labor-force Dynamics Survey, the first countrywide follow-up survey with the theme of labor force.

The authors suggest new standards for determining the marital residence. In addition, contrary to the existing literature, which focuses on “Sheng Nu” (women who do not marry by the traditional marriage age in China), the authors focus on “Sheng Nan” (men who do not marry by the traditional marriage age in China).

The results show that men who own a house before marriage are reluctant to get married. The authors document robust evidence that the preexistence of the marital house decreases the willingness to marry and postpones the marriage date, regardless of location and time.

The authors document robust evidence that the preexistence of the marital house decreases the willingness to marry and postpones the marriage date, regardless of location and time.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.

The various factors influencing audit fees are still unclear, which may undermine the possibility of attaining fair audit pricing. Against this concern, this study aims to investigate the relationship between the auditee’s corporate characteristics and audit fees. In addition, it reveals if accounting comparability, as a proxy for financial reporting quality, mediates such a relationship by bringing evidence from an emerging market.

This study depends on data from nonfinancial companies listed on the Egyptian stock exchange from 2016 to 2019. It adopts multiple regression models to test the impact of corporate characteristics and accounting comparability on audit fees and uses path analysis to test the indirect effect of the audit clients’ characteristics on audit fees through accounting comparability.

The authors found a significant positive (negative) effect of firm profitability on audit fees (accounting comparability). Further, accounting comparability has a significant negative effect on audit fees. The authors also found that accounting comparability partially mediates the significant relationship between profitability and audit fees. However, the authors found no significant association between leverage and audit fees. Finally, the authors found that accounting comparability does not mediate the relationship between leverage and audit fees.

This study’s findings can benefit audit practitioners in Egypt by showing the main factors affecting audit fees, especially audit clients’ attributes. The current findings also guide professional bodies responsible for issuing accounting and audit standards regarding the importance of financial reporting quality for audit pricing decisions.

This study contributes to the literature by examining the mediating effect of accounting comparability concerning the corporate characteristics-audit fees relationship in developing African countries such as Egypt. This study’s findings can benefit audit practitioners in Egypt by showing the main factors affecting audit fees, especially audit clients’ attributes. The current findings also guide professional bodies responsible for issuing accounting and audit standards regarding the importance of financial reporting quality for audit pricing decisions.

The purpose of this study is to establish a synthetic group decision framework based on the Pythagorean fuzzy (PF) set to select the optimal medicine cold chain logistics provider (MCCLP). Fierce market competition makes enterprises must constantly improve every link in the process of enterprise sustainable development. The evaluation of MCCLP in pharmaceutical enterprises is an important link to enhance the comprehensive competitiveness. Because of the fuzziness of expert cognition and the complexity of the decision procedure, PF set can effectively handle the uncertainty and ambiguity in the process of multi-criteria group decision decision-making (MCGDM).

This paper develops an integrated group decision framework through combining the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and combined compromise solution (CoCoSo) approach to select a satisfactory MCCLP within PF circumstances. First, the PF set is used to process the ambiguity and uncertainty of the cognition ability of experts. Second, a novel PF knowledge measure is propounded to measure the vagueness of the PF set. Third, a comprehensive criterion weight determination technique is developed through aggregating subjective weights attained utilizing the PF DEMATEL approach and objective weight deduced by knowledge measure method. Furthermore, an integrated MCGDM approach based on synthetic weight and CoCoSo method is constructed.

The outcomes of sensibility analysis and comparison investigation show that the suggested decision framework can help decision experts to choose a satisfactory MCCLP scientifically and reasonably. Accordingly, the propounded comprehensive decision framework can be recommended to enterprises and organizations to assess the MCCLP for their improvement of core competitiveness.

MCCLP selection is not only momentous for pharmaceutical enterprises to improve transportation quality and ensure medicine safety but also provides a strong guarantee for enterprises to improve their core competitiveness. Nevertheless, enterprises face certain challenges due to the uncertainty of the assessment environment as well as human cognition in the process of choosing a satisfactory MCCLP. PF set possesses a formidable capability to address the uncertainty and imprecision information in the process of MCGDM. Therefore, pharmaceutical enterprises can implement the proposed method to evaluate the suppliers to further improve the comprehensive profit of enterprises.

The Chinese data setting allows researchers to explore the influence of local versus national (central) government ownership on companies. This study aims to examine the influence of government ownership (local versus national) and auditor choice (choosing larger or smaller firms) on audit pricing in China.

This study executed three panel data regressions to examine the two hypotheses using 19,626 observations from 2009 to 2017 in the Chinese data setting. This study also uses the Sobel test to investigate the moderating effect of auditor choice.

This study first examines whether choosing a large audit firm positively influences audit pricing and whether listed state-owned enterprises (SOEs) charge less audit fees to audit firms after controlling for various variables. However, the interaction influence of government ownership and audit firm size on audit pricing is positive, suggesting that a large audit firm charges a client company more, even if the client is an SOE. More importantly, when we divide SOEs into national- and local-SOEs, the results of the influence of auditor choice, government ownership and the interaction of government ownership on audit pricing are consistent (plus, minus, plus), and audit firms charge local-SOEs less than national-SOEs. Furthermore, from the additional analysis, this study finds that the strong auditor type has a moderate effect on the case of local-SOEs on audit pricing and local-SOEs choose smaller auditors.

Research on the differences between local and national government ownership is limited. This study adds empirical results from this perspective. In particular, the findings suggest a further audit pricing research direction to consider the influence of client companies’ ownership types and auditor choice, especially in countries with planned economies.