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This study examines the role of continuous trust (i.e., a trust that develops over time as a result of continuous usage interactions) in determining customers' intention to continue using online product recommendations (OPRs).

Based on information system (IS), continuance model, and continuous trust, we propose that continuous trust will influence customers’ intention to continue OPRs’ use directly and indirectly via their satisfaction and usefulness of the OPRs. The research model is tested using data collected via an online survey from 626 existing users of OPRs in 15 different countries.

The empirical results revealed that continuous trust is shown to be a significant predictor of customers’ intention to continue OPRs use for future purchases. Additionally, the customers’ perceived confirmation and continuous trust positively influence their perceived usefulness and satisfaction with the OPRs, which subsequently influence customers’ OPRs continuous usage intention.

The saliency of continuous trust and usefulness of OPRs present e-retailers with potential fruitful areas to shape future usage of OPRs. In addition, e-retailers must understand that improving the OPR usefulness on its own may not lead to OPRs continuous usage until OPRs trustworthiness is not continually improved. OPRs itself may be convenient and useful, but trustworthy OPRs will pay stronger dividends for customer satisfaction and OPRs’ continuous usage.

The incorporation of continuous trust into the IS continuance model offers a new theoretical lens and an alternative explanation for the OPR continuous usage intention. This study stands in contrast to the large majority of research concerning initial trust and OPRs adoption, in that it focuses on continuous trust (as opposed to initial trust) and on a customers’ OPRs continuous usage intention as opposed to the initial adoption decision.

This paper investigates the role of individuals' competence‐based trust and organizational identification (OI) in employees' continuous improvement efforts. The data were collected in a high‐tech multinational joint venture company with a sample of over 490 shop floor workers. The results show that trust is positively related to continuous improvement efforts when employees strongly identify with the organization. For individuals whose OI is weaker, however, trust is not positively related to continuous improvement. OI, on the other hand, not only moderated the relationship between trust and continuous improvement efforts, but also had a strong and positive impact on employees' continuous improvement efforts. Managerial implications are discussed.

The purpose of this study is to investigate employee trust in the leader as the underlying mechanism between transformational leadership and employees’ organizational identification and their continuous improvement efforts.

Survey data were collected from 282 employees, working in 8 different private and public sector organizations from the banking, higher education, telecommunications and health sectors in Pakistan. Structural equation modeling was used to test the study hypotheses.

The results support the hypothesized relationships showing that trust in the leader partially mediates the relationship of transformational leadership with organizational identification and continuous improvement efforts.

This study relied upon cross-sectional data, which does not satisfy the conditions to establish causality.

The results of this study will help organizations and practitioners to understand the importance of trust between transformational leaders and followers, which ultimately results in higher organizational identification and continuous improvement.

Using the broader framework of social exchange theory (Blau, 1964), this study contributes to the extant employee – organization relationship literature by proposing and testing trust in the leader as an underlying psychological mechanism that can explain the impact of transformational leadership on employees’ organizational identification and their continuous improvement efforts.

Artificial intelligence-based chatbots are frequently used to handle customer complaints in the hospitality and tourism sectors; however, little is known about their recovery strategies. Further, the widespread usage of chatbots is anticipated to affect customers' favorable responses. Therefore, this study aims to examine how chatbots’ symbolic recovery influences customer forgiveness through customer empathy and explore the moderating effect of time pressure on it. Moreover, it investigates the effect of customer forgiveness on customer reconciliation and customer continuous trust.

Structural equation modeling was used to analyze data collected from 994 customers who have experienced chatbot recovery in tourism and hospitality during the past four months.

The results show that chatbots’ symbolic recovery stimulates customer forgiveness, which subsequently positively affects customer reconciliation and customer continuous trust. Moreover, customer empathy partially mediates the effect of chatbots’ symbolic recovery on customer forgiveness, and time pressure plays a moderating role in the relationship between chatbots’ symbolic recovery and customer forgiveness.

The results offer highly persuasive insights that may be used to promote chatbots’ symbolic recovery in tourism organizations. The effectiveness of chatbots’ symbolic recovery in achieving customer forgiveness will motivate tourism organizations to use chatbots efficiently in service recovery.

This study extends the theoretical scope of chatbot research by investigating the symbolic recovery capabilities of chatbots. Moreover, it expands the application of SOR theory in the context of chatbot service recovery and reveals the underlying mechanism behind the impact of chatbots’ symbolic recovery on customer forgiveness, thus building and testing an integrative model of chatbot service recovery.

系统评估阻碍因素作为技术接受模型（TAM）的先驱方面存在一定的空白。本研究调查了三个阻碍因素, 即不适感、不安全感和风险。此外, 本研究提出了调节变量 - 个人能力（PC）, 并测试其对感知有用性（PU）、感知易用性（PEU）和行为意图（BI）之间关系的影响。

使用量化数据分析验证了通过Smart PLS4使用的调整模型。对327名有效受访者的数据进行了分析。

不适感是影响PU和PEU的显著先驱因素。不安全感和风险分别是PEU和PU的抑制因素。本研究在稀缺文献中贡献了个人能力的调节效应, 积极调节PU和BI之间影响的研究。

本研究通过纳入阻碍因素并探索个人能力在AR眼镜方面的调节作用, 为TAM提供了一种新的拓展。此外, 该研究还使创新公司能够通过用户的反馈来增强其产品和服务的设计。

This paper presents the development of a conceptual model of construction partnering. This model aims at exploring the relationship between two types of partnering (project and strategic) by studying the key factors that affect the partnering process stages. It also helps to determine the critical success factors (CSFs) of the two types of partnering. The paper commences by reviewing the literature on project and strategic partnering to develop the conceptual model. A survey was conducted to test the model. Results indicate that there are some critical factors (i.e. top management support, mutual trust, open communication, and effective co‐ordination) affecting both types of partnering, while some are specific to project (i.e. facilitator) or strategic partnering (i.e. long‐term commitment, continuous improvement, learning climate, and partnering experience). Practical implications are given to advise how to facilitate the implementation of partnering. Future research directions are also given to suggest how to improve our understanding of the concept of partnering.

With the evolution of the turbulent environment constantly triggering the emergence of a trust crisis between organizations, how can university–industry (U–I) alliances respond to the trust crisis when conducting green technology innovation (GTI) activities? This paper aims to address this issue.

The authors examined the process of trust crisis damage, including trust first suffering instantaneous impair as well as subsequently indirectly affecting GTI level, and ultimately hurting the profitability of green innovations. In this paper, a piecewise deterministic dynamic model is deployed to portray the trust and the GTI levels in GTI activities of U–I alliances.

The authors analyze the equilibrium results under decentralized and centralized decision-making modes to obtain the following conclusions: Trust levels are affected by a combination of hazard and damage (short and long term) rates, shifting from steady growth to decline in the presence of low hazard and damage rates. However, the GTI level has been growing steadily. It is essential to consider factors such as the hazard rate, the damage rate in the short and long terms, and the change in marginal profit in determining whether to pursue an efficiency- or recovery-friendly strategy in the face of a trust crisis. The authors found that two approaches can mitigate trust crisis losses: implementing a centralized decision-making mode (i.e. shared governance) and reducing pre-crisis trust-building investments. This study offers several insights for businesses and academics to respond to a trust crisis.

The present research can be extended in several directions. Instead of distinguishing attribution of trust crisis, the authors use hazard rate, short- and long-term damage rates and change in marginal profitability to distinguish the scale of trust crises. Future scholars can further add an attribution approach to enrich the classification of trust crises. Moreover, the authors only consider trust crises because of unexpected events in a turbulent environment; in fact, a trust crisis may also be a plateauing process, yet the authors do not study this situation.

First, the authors explore what factors affect the level of trust and the level of GTI when a trust crisis occurs. Second, the authors provide guidelines on how businesses and academics can coordinate their trust-building and GTI efforts when faced with a trust crisis in a turbulent environment.

First, the interaction between psychology and innovation management is explored in this paper. Although empirical studies have shown that trust in U–I alliances is related to innovation performance, and scholars have developed differential game models to portray the GTI process, building a differential game model to explore such an interaction is still scarce. Second, the authors incorporate inter-organizational trust level into the GTI level in university–industry collaboration, applying differential equations to portray the trust building and GTI processes, respectively, to reveal the importance of trust in CTI activities. Third, the authors establish a piecewise deterministic dynamic game model wherein the impact of crisis shocks is not equal to zero, which is inconsistent with most previous studies of Brownian motion.

The purpose of this paper is to examine the effect of initial trust on mobile banking user adoption.

Based on the valid responses collected from a survey questionnaire, structural equation modeling (SEM) technology was employed to examine the research model.

The results indicate that structural assurance and information quality are the main factors affecting initial trust, whereas information quality and system quality significantly affect perceived usefulness. Initial trust affects perceived usefulness, and both factors predict the usage intention of mobile banking.

The sample was mainly composed of users having rich mobile Internet experience, which may affect their trust in mobile banking. Future research needs to generalize these results to other samples, such as those users without much mobile Internet experience.

Extant research has mainly adopted information technology adoption theories such as TAM to explain mobile user behavior, and has seldom examined the effect of initial trust on mobile banking user adoption. However, the high perceived risk and low switching cost highlight the necessity to build initial trust to facilitate user behavior. This research fills the gap.

Ubiquitous commerce or u‐commerce is the combination of traditional e‐commerce and wireless, television, voice and silent commerce. U‐commerce implies ubiquity, universality, uniqueness and unison. It is not a replacement for other types of commerce, but an extension of them. While bringing many benefits, there are challenges and impediments to overcome. Research is needed to assess the value of u‐commerce and to address its related issues and challenges. Questions that need to be addressed are: What is the value of u‐commerce? What are the ways to maximize the benefits and value of u‐commerce? Is it the right technology and what directions need to be considered? What are the privacy issues and risks involved? What about trust and security? What are the strategies for businesses in utilizing and implementing u‐commerce? The research issues presented in this article will help create a better understanding of u‐commerce and prepare us for challenges facing it.

The purpose of this paper is to review the “state of the art” in research on police legitimacy. The authors consider two bodies of theory and empirical research on police legitimacy: one rooted in social psychology and concerned with individual attitudes, and the other based on organizational institutionalism. The authors contrast the theories, discuss the methods with which propositions have been examined, and take stock of the empirical evidence. The authors then turn to a direct comparison of the theories and their predictions.

Critical review and comparison of two bodies of literature.

Police legitimacy is a phenomenon that can be properly understood only when it is addressed at both individual and organizational levels. A large body of social psychological research on police legitimacy has been conducted at the individual level, though it has dwelled mainly on attitudes, and the empirical evidence on the relationships of attitudes to behavior is weak. A much smaller body of research on organizational legitimacy in policing has accumulated, and it appears to have promise for advancing our understanding of police legitimacy.

The understanding of police legitimacy can be deepened by the juxtaposition of these two bodies of theory and research.

As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.

The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.

In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”

This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.