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This study investigates whether and how the service quality of artificial intelligence (AI) chatbots affects customer loyalty to an organization.

Based on the sequential chain model of service quality loyalty, this study first classifies AI chatbot service quality into nine attributes and then develops a research model to explore the internal mechanism of how AI chatbot service quality affects customer loyalty. The analysis of survey data from 459 respondents provided insights into the interrelationships among AI chatbot service quality attributes, perceived value, cognitive and affective trust, satisfaction and customer loyalty.

The results show that AI chatbot service quality positively affects customer loyalty through perceived value, cognitive trust, affective trust and satisfaction.

This study captures the attributes of the service quality of AI chatbots and reveals the significant influence of service quality on customer loyalty. This study develops research on service quality in the information system (IS) field and extends the sequential chain model of quality loyalty to the context of AI services. The findings not only help an organization find a way to improve customers' perceived value, trust, satisfaction and loyalty but also provide guidance in the development, adoption, and post-adoption stages of AI chatbots.

Little empirical research has examined the role of culture on the internal marketing-employee satisfaction (ES) relationship, and even fewer studies focus on this subject in the airline sector. This paper aims to assess whether culture moderates the contribution of internal marketing to the satisfaction of employees from Gulf Cooperation Council (GCC) airlines.

The investigation is conducted via a structured questionnaire with 310 cabin crew members who work at three GCC airlines. Multi-group analysis was used within SmartPLS 3.0 to measure whether the impact of internal marketing on ES is moderated by cultural congruence.

The results reveal the practice of internal marketing contributes to ES in GCC airlines, while cultural congruence moderates the direct relationship between internal marketing and the satisfaction of airlines’ employees. The results indicate that airlines need to satisfy the cultural needs of employees to increase their satisfaction for successful internal marketing practice.

This study contributes towards assessing the moderation effects of cultural congruence on internal marketing practice in the airline sector. It contributes to the current literature on aviation research, as well as specific managerial implications for the airlines and managers to achieve higher competitiveness.

文化一致性是否会影响企业内部营销活动与员工满意度二者之间的关系？目前在这方面的研究还很稀缺, 而聚焦于航空领域的这一主题的研究更是少之又少。本研究以海湾合作委员会的航空公司为例, 旨在分析文化一致性因素能否调节企业内部营销活动对员工满意度的影响力。

本研究对三家海湾合作委员会的航空公司共计310名的空服人员展开了问卷调查。通过运用SmartPLS 3.0 软件的多群组分析方法来具体评估航空公司的内部营销活动对其员工满意度的影响是否会被文化一致性因素所调节。

研究结果显示, 在海湾合作委员会航空公司中, 内部营销活动的实施有助于员工满意度的提升；同时文化一致性因素可以调节航空公司的内部营销活动对其员工满意度的影响。该结果表明, 为了获得成功的内部营销实践, 航空公司需要满足员工的不同文化需求, 以期提高员工的满意度.

本研究聚焦于分析文化一致性对航空公司内部营销实践的调节效应。其不仅是对当前航空研究领域文献的补充, 同时也能够为航空公司及其管理者提供具体的管理方法, 从而获得更多的竞争优势。

el papel de la cultura en la relación de satisfacción de los empleados y el marketing interno ha sido examinada en pocas investigaciones empíricas, e incluso menos estudios se centran en este tema en el sector de las aerolíneas. Este documento tiene como objetivo evaluar si la cultura modera la contribución del marketing interno a la satisfacción de los empleados de las aerolíneas del Consejo de Cooperación del Golfo (CCG).

la investigación se real a través de un cuestionario estructurado con 310 miembros de la tripulación de cabina que trabajan en tres aerolíneas del CCG. El análisis de grupo múltiple se realizó con SmartPLS 3.0 para medir si el impacto del marketing interno en la satisfacción de los empleados es moderado por la congruencia cultural.

los resultados revelan que la práctica del marketing interno contribuye a la satisfacción de los empleados en las aerolíneas del CCG, mientras que la congruencia cultural modera la relación directa entre el marketing interno y la satisfacción de los empleados de las aerolíneas. Los resultados indican que las aerolíneas necesitan satisfacer las necesidades culturales de los empleados para aumentar su satisfacción por los logros del marketing interno.

este estudio contribuye a evaluar los efectos de moderación de la congruencia cultural en la práctica del marketing interno en el sector de las aerolíneas. Contribuye a la literatura actual sobre investigación de aviación, así como indicadores de las consecuencias específicas de gestión de personal para que las aerolíneas y los directivos logren una mayor competitividad.

This study investigates the impacts of return channel type on the relationships between return service quality (RSQ) and customer loyalty (CL) in an omnichannel retailing environment.

Data comes from Chinese customers having a return experience in omnichannel retailing that uses the channel type of both buy-online-return-in-store (BORIS) and buy-in-store-return-to-online warehouses (BSROW). The authors use the structural equation modeling to test the hypotheses and the bootstrapping method to test the mediation and moderation effect.

For BORIS channel, satisfaction of customer returns (CRS) partially mediates the relationship between convenience and CL, and fully mediates that between CL and responsiveness, transparency and competence, respectively. For BSROW channel, CRS partially mediates the relationship between responsiveness and CL, and fully mediates that between CL and convenience, transparency and competence, respectively. The mediation effects indicate that omnichannel customers may feel more satisfied due to higher omnichannel fulfillment (responsiveness and convenience) and omnichannel trust (transparency and competence) provided by retailers. Return channel type moderates the relationship between RSQ-convenience and CL. The results show the different expectations between BORIS and BSROW customers in the return process.

This paper serves as a pioneering study to apply cognition-affect-behavior paradigm into the field of return management in omnichannel retailing.

The findings suggest retailers develop their strategies on customer returns and post-sales service quality improvement in the omnichannel. Also, retailers should develop an integrated return system across channels to provide convenient service to BORIS customers and quick response to BSROW customers.

Studying return service management in the omnichannel from customer's cognition appraisal, this study contributes to the literature of the reverse service management by bringing in the effect of omnichannel type to explore the relationship between RSQ and CL.

This study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.

Drawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.

The results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.

This study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.

1. The study investigates customers' adoption of AI chatbots' recommendation.

2. The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

3. The central and peripheral cues are generalized according to cooperative principle theory.

4. Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

5. Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

6. Customers' mind perception positively moderates the central and peripheral paths.

The study investigates customers' adoption of AI chatbots' recommendation.

The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

The central and peripheral cues are generalized according to cooperative principle theory.

Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

Customers' mind perception positively moderates the central and peripheral paths.

Many service organizations use brand apps as an important mobile-end service channel and expect to increase brand app use through customer recommendations. The purpose of this paper is to explore the internal mechanism of brand app recommendation from the cross-channel perspective.

Based on value–satisfaction–loyalty (VSL) framework, this study examines how brand app’s unique cross-channel features influence customer recommendations, and the effect of involvement in the framework. The authors conduct a research survey in airline industry and questionnaires are developed and distributed to respondents who have experiences with air travel and have used the corresponding airlines’ brand apps. Finally, the authors collect 399 valid questionnaires to test the research model.

The results show that brand app usability mediates the relationship between offline service satisfaction and brand app satisfaction, which finally leads to brand app recommendation. Brand app usability and satisfaction significantly affect involvement, which also lead to brand app recommendation.

This study distinguishes the features of brand apps from those of ordinary apps and fills the research gap in the internal mechanism of app recommendation from the integrated cross-channel perspective. Besides, this study extends the VSL value in the context of brand app use. Based on the results, this study also provides the practical suggestions of enhancing offline service quality and brand app usability to increase brand app recommendation.

The subject of food has been well researched by academics, and is often employed by tourism destination practitioners. However, a review of relevant literature indicates that there is a lack of research reported and written in English on the importance of food in Chinese local regional development. The purpose of this paper is to assess the potential of local food to act as a destination attraction, and contribute to the development of local regions in China, by examining the food-related motivation, involvement, satisfaction, and behavioural intentions of Chinese domestic tourists.

Data were collected using interviewer-completed questionnaire from a sample of 1,353 domestic tourists at eight destinations geographically spread or in one region in China.

The results reveal three types of food-related behaviour (which are described and evaluated below). While gender is seen to be significant, other demographical factors, such as ages and educational levels, do not appear to influence the level of interests and involvement in local food for Chinese domestic tourists.

This study is a contribution towards assessing the potential for using local food as a tool to develop local regions in China, and to obtain a better understanding of the market segmentation of Chinese local food tourists. It assists in identifying potential food tourists towards whom marketing should be addressed.

Stewardship behavior is an important embodiment of the spirit of employee ownership, which is critical to the sustainability of companies, especially under the influence of the COVID-19 epidemic. Most previous studies have focused on how to motivate employees’ stewardship behavior, but little is known about how stewardship behavior affects employees themselves. The purpose of this study is to explore how employee stewardship behavior affects their work-family interface based on the conservation of resources (COR) theory.

In this study, structural equation modeling was conducted using two-wave survey data from 323 employees through three internet companies in Southern China.

Results reveal that engaging in stewardship behavior is positively correlated with both positive emotion and emotional exhaustion. Positive emotion and emotional exhaustion, in turn, mediate the effects of stewardship behavior on work–home interface. Family motivation influences the strength of the relationships between positive emotion or emotional exhaustion and work–family interface, that is, high family motivation strengthens the positive association between positive emotion and work–family enrichment and weakens the positive association between emotional exhaustion and work–family conflict.

This study suggests that managers should give employees more support and care to ease the worries of engaging in stewardship behavior. Also, organizations should recruit employees with high family motivation, which can reduce the negative effects of stewardship behavior on work–-family interface.

Based on an actor’s perspective, this study examines both the positive and negative effects of stewardship behavior on employees themselves, thereby increasing understanding of the dual effect of stewardship behavior. In addition, this study further elucidates the mechanisms that moderate the positive and negative effects of individual family motivation on their engagement in stewardship behavior within the COR theory.

Greenhouse gas (GHG) emission has a detrimental impact on climate change. There is an increasing trend for firms to use disclosure to signal stakeholders about its environmental responsibilities and performance in dealing with climate change. China is one of the countries producing the most carbon emissions. Over the last decade, Chinese state-owned enterprises (SOEs) are becoming important players in international trade. However, the existing literature provides limited evidence on how Chinese SOEs influence GHG disclosure. Through the lens of stakeholder–agency theory, this chapter studies the top 300 listed firms to examine the relationship between Chinese SOEs and the likelihood of GHG disclosure. The result suggests a negative relationship between Chinese SOEs and the likelihood of GHG disclosure. This could be explained as a consequence of the managers' political self-interests, economic and policy-oriented decision-making process and the power differentials between the government and SOE managers. This research extends the GHG literature to Chinese SOEs context, providing direct evidence on how state ownership impacts on GHG disclosure.

Firms increasingly rely on both external and internal crowdsourcing to capture ideas more broadly and enhance innovative problem-solving. Especially in internal crowdsourcing, knowledge sharing that contributes to develop or further the understanding of the problem the idea is focused on solving can take place between critical employees, and in that way improve ideas generated by others. This far, most crowdsourcing practices have focused on identifying solutions to proposed problems, whereas much less is known about how crowds can be used to share problem-related knowledge. There is thus an untapped potential in leveraging crowds not just to generate solution-oriented ideas but also to share knowledge to improve ideas and even to reframe problems. This paper aims to explore the effect of problem- and solution-related knowledge sharing in internal crowdsourcing for idea development.

Data on ideas and comments were collected from an idea management system in a Swedish multinational company. The investigation captures the influences of the problem- and solution-related knowledge sharing on ideas based on content analysis and logistic regression analysis.

The results from this study show that sharing knowledge related to solutions in idea development impacts idea acceptance positively, whereas sharing knowledge related to problems in idea development has a negative effect on the likelihood of idea acceptance and these effects of knowledge sharing are moderated by the active author responses.

This research provides managerial implications for firms to deliberately manage knowledge sharing in peer communities in internal crowdsourcing, especially by providing suggestions on problem reframing and solution refining for ideas.

The results contribute to existing theory in terms of extending the view of crowdsourcing in ideation to include how crowds contribute to the development of the problem and the solution during the development of ideas and providing new insights on knowledge sharing in internal crowdsourcing based on problem-solving theory.

The electromechanical brake system is leading the latest development trend in railway braking technology. The tolerance stack-up generated during the assembly and production process catalyzes the slight geometric dimensioning and tolerancing between the motor stator and rotor inside the electromechanical cylinder. The tolerance leads to imprecise brake control, so it is necessary to diagnose the fault of the motor in the fully assembled electromechanical brake system. This paper aims to present improved variational mode decomposition (VMD) algorithm, which endeavors to elucidate and push the boundaries of mechanical synchronicity problems within the realm of the electromechanical brake system.

The VMD algorithm plays a pivotal role in the preliminary phase, employing mode decomposition techniques to decompose the motor speed signals. Afterward, the error energy algorithm precision is utilized to extract abnormal features, leveraging the practical intrinsic mode functions, eliminating extraneous noise and enhancing the signal’s fidelity. This refined signal then becomes the basis for fault analysis. In the analytical step, the cepstrum is employed to calculate the formant and envelope of the reconstructed signal. By scrutinizing the formant and envelope, the fault point within the electromechanical brake system is precisely identified, contributing to a sophisticated and accurate fault diagnosis.

This paper innovatively uses the VMD algorithm for the modal decomposition of electromechanical brake (EMB) motor speed signals and combines it with the error energy algorithm to achieve abnormal feature extraction. The signal is reconstructed according to the effective intrinsic mode functions (IMFS) component of removing noise, and the formant and envelope are calculated by cepstrum to locate the fault point. Experiments show that the empirical mode decomposition (EMD) algorithm can effectively decompose the original speed signal. After feature extraction, signal enhancement and fault identification, the motor mechanical fault point can be accurately located. This fault diagnosis method is an effective fault diagnosis algorithm suitable for EMB systems.

By using this improved VMD algorithm, the electromechanical brake system can precisely identify the rotational anomaly of the motor. This method can offer an online diagnosis analysis function during operation and contribute to an automated factory inspection strategy while parts are assembled. Compared with the conventional motor diagnosis method, this improved VMD algorithm can eliminate the need for additional acceleration sensors and save hardware costs. Moreover, the accumulation of online detection functions helps improve the reliability of train electromechanical braking systems.