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The motivation of value co-creation among the multi-actor in sharing economy was an important topic in interactive marketing communication research. This study investigated how customer gratitude expression leads to value co-creation of PSPs in the sharing economy, and also investigates the moderating effect of platform benevolent climate.

A three-wave field survey (Study 1) and two experiments (Studies 2 and 3) were given to respondents with sharing economy practitioners.

First, customer gratitude expression positively influenced PSP's perceived meaningful work, which in turn enhanced their value co-creation intention. Second, PSP's perceived platform benevolent climate moderated the relationship between customer gratitude expression and PSP's perceived meaningful work.

Prior research discussed PSPs' value co-creation intention mainly from the perspective of platforms and PSPs, but few considered customer-PSP interaction perspective. This study revealed how customer gratitude expression influences PSP's value co-creation intention in highly interactive digital business context, examined the boundary condition of gratitude expression, and extended the application scenarios of social information processing theory.

Effective experience design requires not only a knowledge of tourist goals, but an understanding of how these can be met in a particular tourism site. Research on experiences and experience design is supported by cognitive psychology concepts such as perception, attention, appraisal, emotion, consciousness, feelings and memory. However, these concepts are often used in a combination with others from sociology, social or environmental psychology in a manner that leads to confusion rather than clarity, without apparent understanding of the theoretical mechanisms by which these concepts are related. This chapter develops a series of propositions for potential application to tourism experience design. Future research should examine the efficacy of these propositions from cognitive psychology for tourism experience design.

Data integration is to combine data residing at different sources and to provide the users with a unified interface of these data. An important issue on data integration is the existence of conflicts among the different data sources. Data sources may conflict with each other at data level, which is defined as data inconsistency. The purpose of this paper is to aim at this problem and propose a solution for data inconsistency in data integration.

A relational data model extended with data source quality criteria is first defined. Then based on the proposed data model, a data inconsistency solution strategy is provided. To accomplish the strategy, fuzzy multi-attribute decision-making (MADM) approach based on data source quality criteria is applied to obtain the results. Finally, users feedbacks strategies are proposed to optimize the result of fuzzy MADM approach as the final data inconsistent solution.

To evaluate the proposed method, the data obtained from the sensors are extracted. Some experiments are designed and performed to explain the effectiveness of the proposed strategy. The results substantiate that the solution has a better performance than the other methods on correctness, time cost and stability indicators.

Since the inconsistent data collected from the sensors are pervasive, the proposed method can solve this problem and correct the wrong choice to some extent.

In this paper, for the first time the authors study the effect of users feedbacks on integration results aiming at the inconsistent data.

This paper aims to analyze the effectiveness of the subject librarian literacy training and put forward suggestions for the improvement of the subject librarian literacy training based on the satisfaction degree survey for the CALIS III Subject Librarian Literacy Training.

On the basis of the satisfaction degree survey for the CALIS III Subject Librarian Literacy Training, this paper elaborates on the design of the survey, analyzes effectiveness of the training according to the survey results, and further advances suggestions for the enhancement of the subject librarian literacy training.

As an essential part of the library user service, subject services are highly demanding of subject librarians' literacy and capabilities. The subject librarians should thus own great abilities to be qualified for the innovative subject service work. Although the CALIS III Librarian Literacy Training and Qualification Certification Program, a vital executive program, has made great achievements, the training still needs to be further improved concerning the schedules, teaching atmosphere, training forms, training content, etc., to enhance the subject librarians' ability, raise the service standards and promote the fast and sound development of librarianship in China.

This paper offers detailed information on how to design a satisfaction degree survey for the subject librarian literacy training, analyzes the effectiveness of the librarian literacy training, and finally makes suggestions for the enhancement of the subject librarian literacy training.

This study discusses the tracking trajectory issue of the exoskeleton under the bounded disturbance and designs an useful tracking trajectory control method to solve it. By using the proposed control method, the tracking error can be successfully convergence to the assigned boundary. Meanwhile, the chattering effect caused by the actuators is already reduced, and the tracking performance of the pneumatic artificial muscles (PAMs) elbow exoskeleton is improved effectively.

A prescribed performance sliding mode control method was developed in this study to fulfill the joint position tracking trajectory task on the elbow exoskeleton driven by two PAMs. In terms of the control structure, a dynamic model was built by conforming to the adaptive law to compensate for the time variety and uncertainty exhibited by the system. Subsequently, a super-twisting algorithm-based second-order sliding mode control method was subjected to the exoskeleton under the boundedness of external disturbance. Moreover, the prescribed performance control method exhibits a smooth prescribed function with an error transformation function to ensure the tracking error can be finally convergent to the pre-designed requirement.

From the theoretical perspective, the stability of the control method was verified through Lyapunov synthesis. On that basis, the tracking performance of the proposed control method was confirmed through the simulation and the manikin model experiment.

As revealed by the results of this study, the proposed control method sufficiently applies to the PAMs elbow exoskeleton for tracking trajectory, which means it has potential application in the actual robot-assisted passive rehabilitation tasks.

The purpose of this study is to explore how inclusive leadership promotes organizational performance through ambidextrous innovation (i.e. exploratory and exploitative innovation). Moreover, the authors examine the moderating role of environmental uncertainty in the relationship between inclusive leadership and ambidextrous innovation.

This study conducted a questionnaire survey of high-tech enterprises in China and obtained 325 useable samples. The hypotheses were tested using latent path analysis and ordinary least squares regression.

The results indicate that exploratory and exploitative innovations mediate the relationship between inclusive leadership and organizational performance. Moreover, environmental uncertainty positively moderated the relationship between inclusive leadership and exploitative innovation.

Managers should value the critical role of inclusive leadership in promoting exploratory and exploitative innovation, which in turn improves organizational performance. Meanwhile, managers need to pay attention to the risk caused by environmental uncertainty.

This paper extends the influence of inclusive leadership on innovation from the individual level to the organizational level and reveals the influence mechanism of inclusive leadership on organizational performance. In addition, this study supplements the knowledge regarding the boundary conditions under which the influence of inclusive leadership is strengthened or weakened.

This case is based on an in-depth interview with Sean Ansett on March 6, 2020 in San Francisco. For a good reference book on the interview method in social science, please see Seidman (2019). Ansett is an alumnus of the Lam Family College of Business at San Francisco State University. A follow-up interview was conducted on December 13, 2021, via Zoom. The case situations are factual, but the names of the luxury brand, the factory and the Tunisian social auditing firm were disguised. Selected video clips of the interviews are available upon request.

In 2010, Sean Ansett, a social auditor with more than 25 years of experience in promoting workers’ rights in the global supply chain, faced a momentous decision. He was hired by a luxury brand company to conduct a social audit of a Tunisian leather goods factory. During his visit to the factory, he observed the troubling signs of child labor and alarming health and safety concerns in the work environment. Should he report the factory’s situation to the local authority? What should he advise his client, the luxury brand company, to do? Ansett realized that this was not a cut-and-dried decision as reporting to the local authority may affect workers adversely if the factory was closed. This case highlights the ethical dilemmas of human rights in the global supply chain. It also raises critical questions for multinational firms regarding what constitutes an ethical brand and how to ensure effective code of conduct implementation.

This case can be used in undergraduate or graduate business courses or curated sessions and seminars related to corporate social responsibility, ethics and social auditing in supply chain management.

The purpose of this paper is to examine the relationship between logistics park platforms, logistics location and operational performance. Relationship analysis helps managers respond to the changes that today’s logistics companies face, which include limited resources and facilities, market uncertainties and financial instabilities.

A structured questionnaire is developed based on the resource-based view. Qualitative data collected from 273 companies in China are used in a structural equation model to test the conceptual model.

In logistics parks, logistics park platforms and location positively influence companies’ resource integration, which is positively related to operational performance. While logistics park platforms can improve operational performance directly, logistics location cannot. Resource integration is thus a full mediator between logistics location and operational performance, while it is a partial mediator between logistics park platforms and operational performance.

This study fills a gap in the literature on logistics parks, particularly on the relationships among operational performance, resource integration, logistics park platforms and the location of logistics parks in China. The authors provide guidelines for logistics park managers to organize their resources and develop capabilities for improving the operational performance of companies in logistics parks.

The purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.

A total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.

The results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.

This study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.