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The purpose of this study aims to investigate the relationship between employees’ personality traits and their job performances (including task performance and contextual performance) of Taiwanese freight forwarders by using responses from a NEO Personality Inventory-Revised Form (NEO-PI-R) questionnaire survey.

One of the most popular personality trait model is the five-factor model (FFM), which includes the big five domains, namely, openness, conscientiousness, extraversion, agreeableness and neuroticism (OCEAN). Each of these five domains includes six facets. Previous researchers have used OCEAN factors to describe the relationship between human personality and job performance. NEO Personality Inventory is a professional psychological assessment instrument published by psychological assessment resources. Multivariate analysis technique and regression technique are used to analyze surveyees’ responses.

Research results reveal the following four issues. The seniority of employees in a company has a positive relationship with their conscientiousness. Employees with higher score on the facets of the neuroticism domain have a negative correlation with their task performance and contextual performance. The relationship between employees’ openness to experience and job performance (both task performance and contextual performance) is not significant. Employees’ seniority has a positive correlation with both their task performance and contextual performance. In a nutshell, freight forwarding industry in Taiwan can use the facets in the neuroticism domain to screen and recruit appropriate job applicants. In addition, retaining senior employees could increase a forwarder’s task performance and contextual performance by their high degree of conscientiousness.

FFM model is a psychological theory dealing with the personality traits and human behavior. Freight forwarding is a labor-intensive business and is one of the most important sectors in the logistics industry. According the authors’ knowledge, the application of FFM on the logistics industry is simply not existed.

The purpose of this paper is to evaluate empirically the impact of intrafirm resources, interfirm relationships, and logistics service capabilities on logistics performance (LP) in the context of container logistics.

Factor analysis was employed to identify the key intrafirm resources (i.e. tangible assets and intangible assets), interfirm relationships (i.e. communication (COM) and long-term relationships), logistics service capabilities (i.e. service efficiency, service reliability, service flexibility, and value-added service), and LP dimensions. Data were collected from a survey of container shipping service providers, and were analyzed by a structural equation model to test the research hypotheses.

The findings show that interfirm relationships and logistics service capabilities act as mediator variables between intrafirm resources and LP.

The results of this research support the application of the general theory on firm-level performance and the resource-based view (RBV) as a lens through which LP can be achieved via logistics service capabilities. In addition, the findings lend empirical support to the capability-building view, which asserts the importance of resource investment and relationship maintenance, and the development of distinctive capabilities to enhance performance.

Container logistics operators should not view their intrafirm resources (including logistics information technology and teamwork organizational culture) or interfirm relationships (including informal COM with key stakeholders and evergreen relationship with key stakeholders) separately; instead, a systems approach should be used.

This research updates the RBV theory by clearly indicating that the overall performance of shipping firms cannot be decided solely by the firm’s own resources. Interfirm relationships and logistics service capabilities are found to be powerful moderators which help shipping firms allocate their resources effectively and thus improve their LP.

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 measure a port's green performance. The literature is reviewed and a survey is carried out to identify major green port performance indicators and to evaluate three major ports' overall green performance in Asia. Indicators located in the critical quadrants with a high degree of importance and low degree of performance are identified and resources are suggested that can be employed to improve the ports' overall sustainability performance effectively.

Port performance indicators are reviewed to select the green‐related ones by a session of brain storming with academicians from China, Hong Kong, and Taiwan in the shipping discipline. Selected indicators are used to design an analytic hierarchy process (AHP) questionnaire. The weight and degree of performance of each of the 17 green indicators among three major container ports are calculated by the data obtained from the AHP round survey respondents.

Avoiding pollutants during cargo handling and port maintenance, noise control, and sewage treatment were perceived to be the three critical indicators by respondents in two of the three ports investigated. Among the three investigated ports, Shanghai port had the highest number of critical indicators to be improved. Air pollutants avoidance, encouraging the use of low‐sulphur fuel, and using electrically powered equipment were three of the five critical indicators found in Shanghai port, but not in the other two investigated ports in this study.

The theoretical implications of this research are the development of a conceptual framework to measure the degree of importance of a set of green port performance indicators, and to provide a decision support system to help port authorities to evaluate their performance regarding the 17 green port performance indicators compared with that of other ports.