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The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder

The increasing demand for high-quality logistics services has forced container shipping firms to decrease logistics service failure to retain the customers. This study thus aims to apply organizational information processing theory (OIPT) to construct a maritime supply chain collaborative decision-making model and examine its impact on logistics service performance.

In total, 142 usable questionnaires were collected from questionnaire survey. A two-step structural equation modeling approach including confirmatory factor analysis was subsequently performed to test the hypotheses.

The results show that internal information integration positively impacts external information integration, that external information integration positively impacts collaborative decision-making, and that collaborative decision-making positively impacts logistics service performance for container shipping firms. However, a relationship between internal information integration and collaborative decision-making was not found in this study.

This study primarily examines collaborative decision-making from the view of container shipping firms. Future research including other supply chain members is needed to generalize the results and could also incorporate other factors such as relationship quality and culture, into the model to address this issue.

To decrease the occurrence of logistics failures and improve service quality in the maritime logistics process, it is suggested that container shipping firms apply information technology for acquiring and assimilating logistics information internally and externally across the supply chain to facilitate decision-making.

This study contributes to the knowledge about the antecedents and impacts of collaborative decision-making for container shipping firms in Taiwan. Particularly, in line with OITP, the findings indicate that container shipping firms can facilitate logistics decision-making and strategy formulation through information integration, which in turn enhances logistics service performance.

Recently, inland Chinese regions have become the major manufacturing base for most manufacturing firms. Accordingly, with this change, many shipping companies attempted to provide proper logistics service activities to maintain their business. Hence, this study aims to empirically examine the logistics service preference segments for Chinese landlocked regions from a manufacturer's perspective. By understanding these attributes, not only shipping companies but also logistics companies can provide proper service to their customers.

The preliminary logistics service attributes are determined using an interview and in-depth questionnaire with logistics experts from the local private and government sectors in southwest China and few international logistics coordinators. This study conducted importance-performance analysis (IPA) and used a customer dissatisfaction attitude index to evaluate the priorities for improving logistics service attributes. Cluster analysis is subsequently performed to group respondents on the basis of their factor scores.

Five crucial logistics service dimensions were identified by the factor analysis, namely, packing and storage, logistics supporting, logistics information, transportation planning and information inquiry. The results also revised the IPA model. The top five service attributes that needed to be improved were carrier selection, ship scheduling inquiry, route planning and inquiry, cargo receiving station and freight forwarding. By applying the factor analysis, this study reduced the 27 logistics attributes derived from the literature review to five underlying critical factors.

This study contributes to the inland logistics by investigating the preferences of manufacturers in Chinese landlocked regions. Moreover, in land logistics in China is lacking in the literature; hence, several important implications can be derived from this study's results.

In the past few decades, the concept of corporate social responsibility (CSR) has received substantial interest in the competitive business environment. This study aims to empirically examine the impact of CSR on corporate image, organizational commitment and organizational performance in ocean freight forwarders.

Five critical CSR dimensions were identified based on factor analysis: consumer interests, employee interests, environmental management, disclosure and corporate commitment and sponsorship. Structural equation modelling was subsequently performed to examine the hypothesized relationships among CSR, corporate image, organizational commitment and organizational performance.

Results indicated that CSR had significantly positive effects on corporate image and organizational commitment, whereas corporate image was positively related to organizational commitment and organizational performance, respectively. Organizational commitment was also positively related to organizational performance. However, CSR did not have a significant direct effect on organizational performance.

This study intended to conduct a survey on logistics service providers; however, due to the limited availability of research on ocean freight forwarding service providers, the present sample was limited to ocean freight forwarding enterprises.

From a theoretical perspective, this study contributes to the field by identifying the important dimensions of CSR and their effects on corporate image, organizational commitment and organizational performance. Particularly, it demonstrated the effect of CSR on ocean freight forwarding employees’ organizational commitment.

Building supply chain (SC) resilience is crucial for business continuity given the ever-changing environmental conditions. Based on the resource orchestration and organizational culture theories, the purpose of this paper is to investigate the business value of SC resilience with the consideration of the roles of internal integration (II) and external integration (EI), risk management culture (RMC) and SC flexibility (SCF).

This study investigates how RMC, SCF and intra and interorganizational integration affect the performance of SC resilience. It collects primary and secondary data from 194 manufacturing firms listed in the Taiwan Stock Exchange and Taipei Exchange.

Results validate the authors’ hypothesis that RMC, SCF and II improve the financial performance of firms through SC resilience efforts.

This study uses firms from Taiwan manufacturing industry, which might introduce country and industry bias.

This study helps managers improve the financial performance of their SC resilience efforts by developing RMC, SCF, II and IE across functions and partner firms.

This study contributes to the literature by empirically testing the relationship between SC resilience and financial performance, and how the relationship is moderated by RMC, SCF, II and EI based on the theories of organizational culture and resource orchestration.

The purpose of this paper is to empirically assess the impacts of logistics learning capability on logistics service capability and organizational performance in the context of international distribution center operators (IDCOs) in Taiwan.

Data for this study were collected by questionnaire survey. A two-steps structural equation modeling (SEM) approach was performed in this study to test the research hypotheses. The first step is performing confirmatory factor analysis (CFA) to assess the validity of the measurement model. The second step proceeds to estimate the structural model between latent variables.

A five-dimension scale including open-mindedness (O), commitment to learning (C), system perspective (E), partner learning (A), and shared vision (N) was proposed in this study and was supported by CFA analysis to measure IDCOs’ logistics learning capability in this study. Results of SEM indicated that logistics learning capability is positively related to logistics service capability, whereas logistics service capability is also positively related to organizational performance. Although logistics learning capability has no direct relationship to organizational performance, we found it indirectly affects organizational performance via logistics service capability.

This study primarily focusses on the effect of logistics learning on organizational performance. Future research could incorporate environmental uncertainty as a moderator to assess its impact on the relationship between logistics learning capability and organizational performance.

IDCOs can enhance customer service and financial performance by developing logistics learning capability and specifically focussing efforts on supply chain partner learning.

This study presents the first to examine the effects of logistics learning capability on logistics service capability and organizational performance in the context of IDCOs. Particularly, this study proposes a five-dimension logistics learning capability scale from a supply chain perspective.

The aim of this study is to empirically identify crucial dimensions of security management in the container shipping sector in Taiwan and assess their impacts on security performance.

Data for this study were collected by questionnaire survey. An exploratory factor analysis was performed to identify crucial security management dimensions in the container shipping sector. Multiple regression analysis was then performed to examine the effect of security management on the security performance.

Four crucial security management dimensions were identified: facility and cargo management; accident prevention and processing; information management; and partner relationship management. Multiple regression analysis revealed that information management and partner relationship management had significant positive effects on safety performance, whereas partner relationship management had a significant positive effect on customs clearance performance.

This study primarily focuses on the effect of security management on security performance. Future research could identify the drivers and barriers to comply with supply chain security initiatives.

Container shipping firms can improve safety and customs clearance performance by focusing security management efforts on facility and cargo management, accident prevention and processing, information management, and partner relationship management.

Government administrators or other authorities may want to consider using crucial container shipping security management dimensions as criteria for assessing security performance in container shipping firms.

This study presented is the first to assess the effect of security management on security performance in the container shipping sector. Particularly, partner relationship management is found to be the key dimension for supply chain security success.

This study aims to empirically identify investment incentive preference segments for international logistics zones from the manufacturer's perspective.

Eight critical investment incentives were identified, based on the following factors: cost, agglomeration, resource, port, policy, political stability, location and transport, and economic. Cluster analysis was subsequently performed to group respondents on the basis of their factor scores. Three groups or segments were identified: firms that preferred political stability and location factors; those which preferred low‐cost and port‐related factors; and those which preferred agglomeration effect and resource factors. Six factors, i.e. cost, agglomeration effect, resource, port, policy, and political stability, differed significantly across the three segments.

Results suggest that political stability is the most important incentive, followed by corporate tax incentives, government administration efficiency, labor cost, and energy cost.

This study is a first attempt to understand investment incentive preferences for an international logistics zone from the manufacturers' perspective and to segment investors into different groups.

This study aims to draw attention to the familiarity effect among international multimarket contact (MMC) firms on coopetition in the global container shipping industry and to better understand the contingency model of structural holes and in-degree centrality on joint price elevation actions and subsequent performance.

Drawing on competitive dynamics and the literature on networks, a panel data model is developed from 6,489 competitive and 7,146 cooperative actions of the top 21 shipping firms in 18 global arenas with a structured content analysis method being applied.

Stronger MMC by firms requires increased levels of cooperative actions to elevate prices. This coopetition relationship is enhanced or weakened when the focal firm occupies a higher level of structural hole or position of competitive in-degree centrality.

Shipping liners seeking to cooperate with joint action in oligopolistic markets are offered guidelines and strategies to increase their performance through their actions.

This study contributes to the literature on coopetition networks by further analyzing interfirm relationships and interactions that enhance performance, while exploring network positioning strategies to mitigate risks.