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This paper aims to examine a type of interorganizational learning called Industry Peer Networks (IPNs), in which a network of non-competing small businesses cooperates to improve their skills and to stay abreast of the industry trends, so that the firms remain competitive in the local and regional markets. The key characteristic of an IPN is the regular gathering of peers in small groups (typically 20 or fewer carefully selected members) in an atmosphere of significant trust, guided by a facilitator, to participate in a series of formal and informal activities through established guidelines, to share knowledge about management and marketing, exchange information about industry trends beyond their core markets, discuss issues related to company performance and provide constructive criticism about peer companies.

The qualitative research on the context included visits to 13 peer meetings, three workshops for peer members, seven semi-structured interviews with members and many communications with the founder, chairman, committee chairpersons and several facilitators of peer meetings that spanned across five years. Data collection and analysis followed grounded theory building techniques.

The authors identified both cooperative and competitive learning practices that a small business could carry out to grow from a novice to an expert IPN peer member. The cooperative elements such as peer discussions, disclosure of financial data and exposure to various business models allow member firms to learn vicariously through the successes and/or failure of their peers. At the same time, the competitive elements such as service delivery critiques, business performance benchmarking and firm ranking also prompt the members to focus on execution, to emphasize accountability and to strive for status in the network. The IPN in this research has also built network legitimacy over time, and it has sustained a viable administrative entity that has a recognizable form and structure, whose functions are to strategically manage network activities and network growth to attract like-minded new members.

First, because this research focused on fleshing out the transformative practices engaged by IPN peers, it necessarily neglected other types of network relationships that affect the small businesses, including local competitors, vendors and customers. Second, the small employment size of these firms and the personal nature of network ties in the IPN may provide an especially fertile ground for network learning that might not exist for larger firms. Third, the technology-intensive and quality-sensitive nature of IT firms may make technological trend sensitization and operating efficiency more competitive advantages in this industry than in others. Finally, although participation in IPN is associated with higher level of perceived learning, the relationship between learning and business performance is not yet articulated empirically.

The study contributes to the understanding of cooperative/competitive transformative practices in the IPN by highlighting the defining features at each transformation stage, from firms being isolated entities which react to market forces to connected peers which proactively drive the markets. IPNs are most effective for business owners who are at their early growth stage, in which they are positioned to grow further. Nevertheless, the authors also present the paradoxical capacity of IPNs to propel firms along trajectories of empowerment or disengagement.

As 78.5 per cent of the US firms are small businesses having fewer than 10 employees, the knowledge of firm and IPN transformation is important for both researchers and advocates of small businesses to understand the roots of success or failure of firms and the IPNs in which they are embedded.

Earlier research has not explored the network-level effects as part of a full array of outcomes. Instead, research involving IPNs has focused primarily on the motivation and immediate firm-level outcomes of IPNs. Research to this point has also failed to examine IPNs from a developmental perspective, how the firms and the IPN as a network transform over time.

This paper aims to advance understanding regarding a particular religious belief and buying behavior.

Two online experiments were conducted among diverse respondents. Study 1 used a one-way, between-subjects design with three conditions: afterlife salience, control and mortality salience. The dependent measure was built on the notion of first-price sealed-bid auction. Study 2 used a similar procedure with two conditions: afterlife salience and control. Mortality was made salient in both conditions.

Making afterlife salient boosted the willingness to pay. This effect did not result from mortality salience, which suggests that this research is a unique contribution beyond works rooted in Terror Management Theory. This effect was mediated through positive product thoughts.

There has long been an imbalance between theoretical speculation concerning religion and cognition and actual empirical documentation. The present research adds to the emerging body of empirical investigations into this relation. It contributes to the conceptual richness of the stream of literature by examining one aspect of religiosity that has rarely been studied: the belief in afterlife. In addition, the findings go beyond correlational patterns toward discovering nonobvious cause and effect. To the best of the authors’ knowledge, this research is one of the few works that experimentally manipulate the notion of afterlife belief. This research also extends the understanding of pricing and willingness to pay by identifying a subtle environmental influence not recognized before.

The study aims to examine whether and how second-hand clothing shoppers differ from non-shoppers on various psychographic variables, including environmentalism, perception of contamination, price sensitivity and perception of vintage clothing. Additionally, this study hopes to uncover whether and how the aforementioned psychographic variables help predict second-hand clothing shopping behaviour, specifically shopping frequency at second-hand clothing stores.

Data were collected through a survey method from 152 college students.

Results showed that college students who shopped at second-hand clothing stores were more likely to be environmentally conscious, more sensitive to higher prices and more likely to wear used clothing to express a vintage look and to be “green”, and to perceive used clothing to be less contaminated, as compared to those who did not shop at second-hand clothing stores. This study concluded that, among college students, second-hand clothing shoppers may do so not only for economic reasons but also for creation of style and feeling special about themselves.

This study suggests that college students who shop at second-hand clothing stores are different from those who do not shop at second-hand stores in terms of their environmental attitudes, perceptions of contamination from used clothing, sensitivity to prices and how they feel about vintage clothing. Further, financial concern (i.e. price sensitivity) is no longer the only reason for second-hand clothing shopping.

Little research has been conducted to understand second-hand clothing shopping behaviour among college students. This study examined multiple psychographic variables and provided insights into college students’ second-hand shopping behaviour.

This study aims to explore the relation among US audit partners’ characteristics, their career advancement and audit quality.

This study uses data from Public Company Accounting Oversight Board Form AP, Auditor Reporting of Certain Audit Participants, and publicly available online data sources. The hand-collected data on audit partners’ personal characteristics include gender, work experience and educational background. The measures for audit quality include restatements and audit fees.

The authors find that audit partner characteristics matter for the time it takes an individual to reach partnership after completing a bachelor’s degree. There are significant differences in work experience and educational background between partners in the largest (Big N) audit firms and smaller (non-Big N) audit firms. Audit partner traits are related to audit quality, and the effects differ between Big N and non-Big N partners.

The literature has examined audit partners’ career paths using international data. However, little empirical academic research has examined the career advancement of US audit partners. This study provides initial insights on the career advancement of US partners on a large scale and complements the recent research that examines audit partner characteristics and audit quality in the US market.

The purpose of this paper is twofold: first, it explores the influencing factors of the government’s trust decision-making in the private sector; second, it explores how these influencing factors affect the government’s trust decisions.

A theoretical model was established, and a questionnaire survey was conducted among 152 professionals. The collected datas were analyzed by the structural equation modeling (SEM) method.

The study identified four critical factors that influence the government’s decision to trust the private sector in public-private-partnership (PPP) projects. All the four factors have a positively correlated impact on the government’s trust decision-making. The structural equation path analysis shows that the most important factor affecting the government’s trust decision-making is the trustee’s (private sector) trustworthy characteristics, and the path coefficient is 0.92. The path coefficients of risk perception and the trustor’s trust tendency are 0.83 and 0.74, respectively. The influence of the legal system environment on government trust decision-making is moderate, with a path coefficient of 0.68.

This paper contributes to the literature in two aspects. First, the factors influencing decision-making to government trust in the private sector in PPP projects have been identified. Second, a comprehensive view of the mechanism of government trust in the private sector in PPP projects has been theorized by the SEM method.

In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry.

This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda.

A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities.

This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.

Given the scarcity of studies regarding religious food as a destination attraction and limited research on tourist halal food experience, this study aims to explore and compare halal food experience perceived by Muslim and non-Muslim tourists in a non-Islamic destination.

This study was carried out in a halal food street in Yuanjia Village, China. It used a qualitative approach and interviewed 16 Muslim tourists and 20 non-Muslim tourists.

Six themes and 18 attributes of halal food experience were identified. The findings revealed that Muslim tourists saw the reassuring options and religious value of halal food as important experiences. By contrast, the experiences of abundant choices, value for money, sensory pleasure and unique charm were frequently mentioned by non-Muslim tourists. The nature of halal food, the context of China (i.e. Chinese halal food culture) and the feature of research site (i.e. food operation of Yuanjia Village) work together to create such experiences.

To the best of the authors’ knowledge, this is one of the first studies to explore and compare halal food experiences of Muslim and non-Muslim tourists in a non-Islamic country (China). This study suggests that halal food could be an appealing destination attraction, even in non-Islamic destinations. Thus, this study contributes to a better understanding of the halal food experiences and assists destination marketers in promoting halal food.

This study aims to use event system theory and job demands–resources (JD-R) model to examine the double-edged sword effect of event strength of Beijing Winter Olympics (BWO) on volunteers’ in-role performance and proactive behavior as mediated by work overload and meaningfulness.

The sample included 193 volunteer–leader dyads working at one BWO venue. The authors conducted a multitime and multisource study using Mplus 8 to examine the hypotheses.

Volunteers’ perceived BWO event strength was positively related to work overload, which reduced in-role performance and proactive behavior. Volunteers’ perceived BWO event strength was also positively related to work meaningfulness, which promoted in-role performance and proactive behavior. Perceived organizational support served as a moderator by mitigating the positive relationship between perceived BWO event strength and work overload; however, it did not strengthen the positive relationship between perceived BWO event strength and work meaningfulness.

This study developed a comprehensive model of how BWO event strength affected volunteers’ performance from the perspective of event system theory and the JD-R model, which enriches theoretical application and research in the context of mega sport events.

本研究运用事件系统理论和工作需求-资源(JD-R)模型, 探讨了2022年北京冬奥会（BWO）事件强度通过工作负荷和工作意义感知进而对志愿者角色内绩效和主动性行为的双刃剑效应。

我们在冬奥会场所之一实施了多时点、多来源的收集数据的方式, 最终样本包括193份志愿者-领导配对数据, 并使用Mplus 8来检验我们的假设。

志愿者感知的BWO事件强度与工作负荷呈正相关, 进而会降低他们的角色内绩效和主动性行为。志愿者感知的BWO事件强度与工作意义感也呈正相关, 进而会促进他们的角色内绩效和主动性行为。感知的组织支持通过弱化BWO事件强度与工作负荷之间的正相关关系, 进而调节了志愿者的角色内绩效和主动性行为; 然而, 感知的组织支持并没有强化BWO事件强度与工作意义感之间的正相关关系。

本研究结合事件系统理论和JD-R模型, 发展了一个BWO事件强度对志愿者绩效表现影响的综合模型, 丰富了有关大型体育赛事志愿者的理论应用和研究。

Este estudio utiliza la teoría del sistema de eventos y el modelo de demandas de trabajo-recursos (JD-R) para examinar el efecto de doble filo de la fuerza del evento de los Juegos Olímpicos de Invierno de Pekín (BWO) sobre el rendimiento en el rol y el comportamiento proactivo de los voluntarios, mediado por la sobrecarga laboral y la significatividad del trabajo.

Nuestra muestra incluyó 193 díadas de voluntarios-líderes que trabajaban en una sede de BWO. Realizamos un estudio multitemporal y multifuente utilizando Mplus 8 para examinar nuestras hipótesis.

La intensidad percibida por los voluntarios en los eventos de BWO también se relacionó positivamente con la significación del trabajo, que promovió el rendimiento en el rol y el comportamiento proactivo. Además, el apoyo organizativo percibido sirvió como moderador al mitigar la relación positiva entre la intensidad percibida del evento BWO y la sobrecarga de trabajo; sin embargo, no reforzó la relación positiva entre la intensidad percibida del evento BWO y la significatividad del trabajo.

Este estudio desarrolló un modelo integral de cómo la fuerza del evento BWO afectaba al rendimiento de los voluntarios desde la perspectiva de la teoría del sistema de eventos y el modelo JD-R, lo que enriquece la aplicación teórica y la investigación en el contexto de los megaeventos deportivos.

Trust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid.

This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust.

No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked.

The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.