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Dynamic capabilities (DC) have been linked to firm competitive advantage, but the ways in which firms can create and build these DC are still not clear. The purpose of this paper is to propose a model with organizational learning (OL) and supply chain orientation (SCO) as antecedents of dynamic logistics capabilities and firm performance as the outcome. The study tests this model on a sample of logistics service firms.

Partial least squares structural equation modeling was used to analyze the data collected from 103 logistics firms drawn from the Chartered Institute of Logistics and Transportation of Hong Kong.

Results show that OL directly enhances DC and indirectly through SCO. The relationship between OL and SCO is stronger than the relationship between OL and DC. DC are positively related to logistics firm performance.

The study relied on perceptual and self-reported data from senior management. Relationships among variables may also be inflated by common method variance but efforts were taken to reduce this threat.

Logistics firms should promote a learning culture in the organization. Organization learning enhances a firm’s willingness to change and innovate. It also helps employees to gain a better understanding of clients’ supply chains and possibilities. SCO helps the firm to direct its reconfiguration and renewal efforts where the returns are the highest.

There is scant empirical research on the antecedents of DC outside of manufacturing and knowledge-intensive services. The study focused on the logistics services industry. SCO, a necessary strategic orientation for firms in the supply chain, has not been empirically investigated in the previous research. This study addressed these gaps in the literature and contributes to the understanding of the factors giving rise to DC.

The purpose of this study is to examine the impact of relationship coordination on the performance of trade intermediaries.

This study uses a model of interfirm governance involving multiple members – customers, suppliers and a firm's internal members. In supply chains involving more than two members, the dyadic approach to studying business relationships is inadequate. Dyadic relationships are often influenced by other connected relationships. Thus, this study provides a broader understanding of relationship management in the supply chain.

A major task of intermediaries is to facilitate the flow of materials, information and resource along the supply chain. Growth in outsourcing and competition between supply chains have created a need for intermediaries to manage relationships with other members in the supply chain. How should intermediaries manage these relationships for success? Are there positive linkages between supplier relationship management, customer relationship management, intermediary business processes and intermediary performance? The findings of this study will help intermediaries to improve overall performance and to contribute to global trade.

This preliminary study should prompt further investigations into how internal and external relationships can be integrated for superior performance in global trading operations.

This study aims to identify the types of relationships that intermediaries form with their suppliers and customers in the apparel supply chain and their implications for performance.

Cluster analysis was conducted on the supplier and customer relationships of 90 trade intermediaries in the apparel industry.

Three configurations were identified: moderately dependent relationships with suppliers and customers and moderate flexibility upstream; highly dependent relationships with suppliers and customers but low flexibility upstream; and relationships with suppliers and customers that are low in dependence. Performance of firms using these configurations differed. Firms that cultivated some dependence upstream and downstream performed best. Firms with highly dependent relationships with suppliers and customers but low flexibility upstream performed almost as well. This group was highly skilled in relationship management. Firms that maintained low dependence with suppliers and customers performed the worst.

Findings were based on a limited sample of 90 firms. Relationship configurations may differ in other industries, e.g. car industry.

For a supply chain to be effective, firms need to consider how they structure the relationships along the supply chain to facilitate the flow of information, goods and resources.

Prior research has considered relationships as independent dyads. This study looks at tripartite relationships involving suppliers and customers in the supply chain.

The purpose of this research is to investigate the usage characteristics and the information propagation patterns of Chinese microblogs in different stages of an epidemic, given that the microblogging in China is different from other parts of the world. In addition, the authors aim to conceptualize the roles of different users and provide insights for using microblogging platforms to disseminate information in this context.

The authors conducted an analysis on Sina Weibo microblogs about the African Swine Fever epidemic from August to October 2018. The authors firstly applied a label propagation algorithm to classify users into government, media, verified users and nonverified users. The authors analyzed several user metrics, traced the information propagation patterns of their microblogs and calculated the average speed of information propagation using computational approaches.

The authors’ findings show that different types of users played different roles, such as supplying information, amplifying information, relaying information and engaging with other users. The microblogs posted by media dominated the propagation in most cases, but general users can propagate information faster. The direction of information propagation is one-way for the majority of microblogs, and few users repost earlier information. Additionally, microblogs attract more attention at the beginning and the middle phases of an epidemic. In the context of managing epidemics, the authors recommend governments and other verified users can work together to use microblogging platforms efficiently.

This research is one of the few studies to investigate information propagation patterns of different user categories on a Chinese microblogging platform during an epidemic. The authors’ work can be used by government agencies and public health authorities for disseminating information efficiently during epidemics or emergencies, especially in the early stages.

As a response to the COVID-19 pandemic, both educators and students adapted to course delivery modes no longer centered on in-person interactions. Resiliency and self-regulation are key to success in online contexts, but the rapid transition to remote learning left many students without the necessary support to develop these skills. Much of the existing literature on self-regulation and resiliency focuses on cognitive processes and strategies such as goal orientation, time management, and mindset. However, the added stress and trauma of learning in the context of a global pandemic highlighted the many other factors relevant to students’ development of these skills. Drawing from the literature, the authors explore evidence-informed teaching practices to foster self-regulation and resiliency, highlight the power and privilege of being able to be resilient, advocate for the development of pedagogies of kindness, and emphasize the “how” of implementing techniques to best support students. The authors provide evidence-informed suggestions with the goal of assisting instructors and students during times of high stress, while acknowledging their limitations in addressing structural inequalities highlighted by the COVID-19 pandemic. Nonetheless, the authors argue that evidence-informed techniques and compassionate pedagogies adopted during a period of upheaval remain applicable to future in-person and online pedagogies.