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This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).

Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.

The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.

Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.

This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.

Based on the service-profit chain perspective, this study investigates whether service-oriented human resource practices can enhance customer outcomes through motivational mechanisms (i.e. intrinsic/extrinsic satisfaction) as well as emotional mechanisms (i.e. emotional labor strategies).

This study collected paired data from 220 service workers and their customers at different time points from 80 service firms. Multilevel path-analysis was conducted to test the proposed hypotheses.

Our results indicate that firm-level extensive training is positively related to service workers' intrinsic job satisfaction, which in turn increases deep acting. In addition, firm-level incentive compensation is positively associated with service workers' extrinsic job satisfaction, which in turn reduces surface acting. Finally, service employee's deep acting enhances customer loyalty and willingness to recommend via customer satisfaction.

The service organization should (1) stress the importance of incentive compensation to decrease surface acting via enhancing extrinsic job satisfaction and (2) provide extensive service training to improve service employees' intrinsic satisfaction and deep acting, leading to favorable customer outcomes.

The present study identifies the critical roles of motivational and emotional mechanisms in transferring service-oriented human resource practices to customer outcomes and employing rigorous research design to enhance the internal/external validity of our findings.

The purpose of this paper is to identify the most critical antecedents of destination loyalty formation (DLF) and to develop a series of propositions for the relationships among the antecedents of loyalty formation and their direct and indirect impacts on loyalty formation.

This conceptual paper provides a comprehensive review of the previous studies that examined destination loyalty and posits a framework of tourist DLF titled Destination Loyalty Formation.

In the proposed conceptual model, the sequential relationships among the antecedents of tourist destination loyalty postulate that previous experiences are the most influential driver that could manipulate tourist destination loyalty. Place attachment and involvement constitute the second most influential factors of DLF. In addition to the above two variables, destination image is proposed to have direct and indirect effects on perception of service quality and satisfaction. Meanwhile, service quality and tourist satisfaction are proposed to have the largest magnitude of direct impacts on destination loyalty.

Previous studies examined most of the antecedents of destination loyalty separately. There is yet an effort to simultaneously consider antecedents of destination loyalty to examine how each antecedent relates to DLF. This conceptual paper attempts to address this issue by proposing a conceptual model that simultaneously considers antecedents of destination loyalty and examines how each antecedent relates to DLF.

Channel coordination has become an essential part of researching hotel supply chain management practices. This paper develops an improved channel coordination approach to coordinate the profit distribution between hotels and online travel agencies (OTAs) achieved through an introduction of advertising fees. This direction further improves the decentralization of cooperation and achieves Pareto improvement to achieve mutual profitability.

The methodology used in this study involves Stackelberg game theory employed for the decision-making and analysis of both the hotel and OTA. The OTA, acting as the leader, offers a hotel a contract specifying the commission rate that the hotel will pay to the respective OTA. The hotel, acting as a follower, sets a self-interested room rate as a given response. A deterministic, price-sensitive linear demand function is utilized to derive possible analytical solutions once centralized, noncooperative decentralization and cooperative decentralized channel occurs.

Results show that a new channel coordination approach is possible, namely via advertising fees. Prior to channel coordination, the OTA tends to set a higher commission rate, and the hotel sets a higher room rate in response under noncooperative decentralization. As such, this results in a lower channel-wide profit for all. One way to reduce channel-wide profit loss is to use a method of cooperative decentralization, which can, and will result in optimal profit as centralization takes place. However, the lack of incentives makes cooperative decentralization unfeasible. Further improvement is possible by using advertising fees based on a cooperative decentralization agreement, which can reach Pareto improvement.

This paper helps the OTA industry and hotel owners cooperate by way of smoother coordination. This study provides practitioners with two important practical implications. The first one is that the coordination between the hotel industry and OTA through cooperative decentralization allows for the achievement of higher profitability than that of noncooperative decentralization. The second one is that this paper solves the outstanding problem of insufficient incentives characteristic of cooperative decentralization by means of an advertising fee as a new supply chain coordination approach.

This paper offers both the problem and solution regarding the lack of incentives that hamper cooperative decentralization without the use of advertising fees. This paper is unique in that it derives analytical solutions regarding commissions levied in a typical hotel supply chain under noncooperative decentralization.

This study aims to use emotions-as-social information theory to investigate how physical (customer perceived store atmosphere) and social servicescapes (customer information searching) influence the effects of employees’ positive affective displays on customer outcomes via customer positive moods and positive expectation disconfirmation.

This research included two studies, each using a distinct research design, to empirically test the proposed model. Study 1 involved 200 observational data points on objective purchase amounts from designer watch shops. In Study 2, data were collected from 230 customers in designer jewelry stores.

The results of path analyses revealed that: employee positive affective displays are positively associated with customer purchase outcomes; employee positive affective displays had positive indirect effects on customer purchase outcomes by enhancing customer positive moods and positive expectation disconfirmation; these positive indirect effects were strengthened when customers engaged in information search behaviors; and these positive indirect effects were attenuated when customers perceive store atmosphere as favorable, indicating a substitution effect of customer perceived store atmosphere.

Previous research has not thoroughly examined the role of the servicescape in moderating the effects of employees’ positive affective displays on customer purchase outcomes. This present study not only clarified the affective and cognitive mechanisms that link employees’ positive affective displays on purchase outcomes but also identified servicescape as a critical boundary condition of these effects.

As the application of artificial intelligence (AI) becomes more prevalent, many high-tech firms have employed AI applications to deal with emerging societal, technological and environmental challenges. Big data analytical capability (BDAC) has become increasingly important in the AI application processes. Drawing upon the resource-based view and the theory of planned behavior, this study aims to investigate how BDAC and collaboration affect new product performance (NPP). Practically, a harmonic working team is particularly important for creating management synergies, this empirical analysis demonstrates the importance of BDAC and collaboration for NPP.

This paper focuses on the performance of firms that applied AI in their operations. This study collected data from firms in Greater China, including China and Taiwan, as Greater China is currently the leading manufacturer of semiconductor, electronic and electric products for AI applications in the manufacturing process. Confirmatory factor analysis and structural equation modeling is employed for statistical analysis.

The analytical results indicate that BDAC positively relates to collaboration capability (CC) in AI applications but not to team collaboration (TC). CC positively correlates with TC, and both CC and TC positively correlate with NPP. Further, the mediating effect was examined using the Sobel t-test, which reveals that CC is a significant mediator in the influence of BDAC on NPP.

The strategic implementation of BDAC and collaboration can allow an enterprise to improve its NPP when driven by the external environment to use AI, which further enhances NPP. These processes indicate that AI and BDAC are both crucial for the success of a company’s collaboration and for effective management to improve NPP in the face of global competition.

This study introduces the concept of BDAC to explain the relationship between CC and TC, as they pertain to NPP. This study presented a discussion of the theoretical and practical implications of the research findings and could provide a framework for managing BDAC.

This research focuses on the work–family facilitation process to theorize and examine the potential positive impact of perceived overqualification (POQ) on an individual’s work–family interface. Drawing on social cognitive theory of self-regulation, this research identifies work–family balance self-efficacy (WFBSE) as a motivational mechanism through which POQ affects work engagement. Additionally, it proposes flexibility human resource (HR) practices as a key moderator of this process.

This research collected multi-wave time-lagged data from 342 managers in the hospitality industry. The research focused on managers with the title of headwaiter and above, while front-line service personnel were not included.

The results showed that POQ had an indirect positive relationship with work engagement via WFBSE. The results also showed that employee-experienced flexibility HR practices moderated the effectiveness of WFBSE in translating POQ into work engagement.

This research provides guidance and insights into how HRM systems can be customized to sustain positive outcomes in situations of overqualification. It is crucial that hotels offer flexibility options or individualization of work arrangements for overqualified employees.

The potential positive impact of POQ on employees’ work–family interface has been neglected. In addition, prior research has devoted little attention to potential organizational factors that enhance the positive effects of POQ. By examining the mediating and moderating effects, this research aims to explain how and under what conditions POQ facilitates work engagement.

The primary objective of introducing nonstate ownership into state-owned enterprises (SOEs) is to enhance corporate performance. This study explores how nonstate ownership affects corporate performance, emphasizing agency costs as the primary mechanism.

Using data from 2010 to 2019 for listed SOEs, the authors measure nonstate ownership based on shareholding ratios, control rights and shareholding–control matching. The authors also use fixed-effects and mediation-effects models, with agency costs as the primary mechanism.

Increased nonstate shareholding ratios, stronger control rights and improved shareholding–control matching promote SOE performance. Nonstate shareholding ratios boost performance through resource effects, while control rights and shareholding–control matching promote performance by mitigating agency costs. A heterogeneity analysis indicates stronger effects in local SOEs and highly marketized regions. Moreover, control rights and shareholding–control matching reinforce the positive impact of shareholding ratios on performance.

The mixed-ownership reform of Chinese SOEs aims to optimize shareholding and control structures between state and nonstate shareholders. Therefore, research on the impact of nonstate shareholding ratios, control rights and shareholding–control matching on corporate performance is highly pertinent. However, existing studies have focused on the effects of single factors on performance, without exploration of the economic implications of shareholding–control matching. This study not only prioritizes the optimization of shareholding and control structures but also underscores the importance of granting nonstate shareholders control rights proportionate to their shareholding, providing critical evidence of the value of improving SOEs' ownership structure.

This paper describes a computer supported ubiquitous learning environment for minority language learning. Hakka language involved various tones, art, craft, festivals, food, drink, medicine, religion and custom in different regions. The tones also vary across the dialects of Hakka. The majority of Hakka dialects have six tones in Taiwan. The context for Hakka language translation and use is extremely important. The purpose of this paper is to present the context-aware annotation service to help readers get the right information for Hakka language use and learning more easily.

This paper proposes the context-aware learning support system for Hakka culture-specific items or language, which is called Hakka culture-specific items annotation system (HACSIAS). HACSIAS is the context-aware annotation system, helping learners to add links of culture-specific items when they are reading the electronic journals, books, and web pages.

The HACSIAS provides learner appropriate information for Hakka culture-specific items deriving the learner’s situation and personal information. The context-aware computing will automatically provide translation service by searching a given culture-specific items database while these items or terminology appear in a document, either by displaying terms in the translation memory.

The context-aware annotation system for Hakka culture-specific language learning allows Hakka cultural resources to be smoothly integrated into learning materials.

The purpose of this paper is to explore the data connection, spatial distribution characteristics and trends in genealogical information. First, it implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the world. Second, this study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014. This innovative library service enhances the Hakka genealogical migration analysis using big data.

The platform is designed for the exchange of genealogical data to be used in big data analysis. This study integrates big data and geographic information systems (GIS) to map the population distribution themes. The general procedure included collecting genealogical big data, geographic encoding, gathering the map information, GIS layer integration and migration map production.

The analytical results demonstrate that big data technology is highly appropriate for family migration history analysis, given the increasing volume, velocity and variety of genealogical data. The spatial-temporal visualization of the genealogical research platform can follow family history and migration paths, and dynamically generate roadmaps to simplify the cartographic steps.

Technology that combines big data and GIS is suitable for performing migration analysis based on genealogy. A web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library services.

Big data play a dominant role in library services, and in turn, provide an active library service. These findings indicate that big data technology can provide a suitable tool for improving library services.

Online genealogy and family trees are linked with large-volume, growing data sets that are complex and have multiple, autonomous sources. The migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic history.