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This study proposes the use of cumulative prospect theory (CPT) to predict over- and under-estimation of risks and the counteractive adjustment in a cold chain context. In particular, the purpose of this paper is to address the importance of the socio-demographic characteristics of an individual in influencing risk attitude and the analysis of measurable risk probability.

This study uses CPT as the basis to develop a decision analysis model in which the two functions of value editing and probability weighting are nonlinear to adequately determine the flexible risk attitudes of individuals, as well as their prospects with numerous outcomes and different probabilities. An experiment was conducted to obtain empirical predictions, and an efficient Markov Chain Monte Carlo algorithm was applied to overcome the nonlinearity and dimensionality in the process of parameter estimation.

The respondents overweigh the minor cold chain risks with small probabilities and behave in a risk-averse manner, while underweighting major events with larger ones, thereby leading to risk-seeking behavior. Judgment distortion regarding probability was observed under risk decision with a low probability and a high impact. Moreover, the findings indicate that factors, such as gender, job familiarity and confidentiality significantly influence the risk attitudes and subjective probability weighting of the respondents.

The findings fit the framework of CPT and extend this theory to deal with human risk attitudes and subjective bias in cold chains. In particular, this study enhances the literature by providing an analysis of cold chain risk from both the human decision-making and managerial perspectives. Moreover, this research determined the importance of the socio-demographic characteristics of an individual to explain the variability in risk attitudes and responses.

Managers must consider the issues of flexible risk attitude and subjective judgment when making choices for risk mitigation strategies. Given the focus on counteractive adjustment for over- and under-estimated risk, firms could evaluate cold chain risk more accurately, and thereby enhance their resilience to risky events while reducing the variability of their performance.

The current study is the first to materialize the phenomena of over- and under-estimation of cold chain risks, as well as to emphasize the different characteristics for loss aversion and judgment distortion at the individual level.

The attributes of services can be categorised as service quality and service preference. While studies have addressed the importance of service quality, shippers’ service preference and its relationship to perceived value and purchase intentions remain unexplored. Therefore, the purpose of this study is to propose a causal model in the context of short sea shipping services to investigate the influence of purchase intention through the shipper’s service preference and perceived value.

Structural equation modelling is applied to assess the empirical strength of the relationships in the proposed model. The model is validated through empirical testing by taking samples from shippers in Taiwan.

The results show that service attributes, namely, timing related, pricing related, warehousing, sales, door-to-door, information and advertising, positively affect shippers’ service preference. Service preference significantly affects customer perceived value as well as purchase intentions. Moreover, perceived value strongly affects purchase intentions.

Matching between the product offered and the diversified customer need is key to the business operation’s success. This study suggests that carriers should position themselves to both self-competence and market values.

The purpose of this paper is to examine the recycling business in Taiwan as well as its impacts on the collection, environment, economy, and society, providing a good example of setting up an efficient national paradigm.

This paper proposes an alternative policy of dynamic rate of recycling fee as Taiwan's current recycling system is not beneficial to spurring design for environment (DfE).

The paper demonstrates that this improvement will indeed result in changes for entrepreneurs and manufacturers toward green design and financial benefits for flourishing the recycling industry.

Regardless of the progressive success for the current system in Taiwan, a flat rate recycling fee scheme possesses limited inspiration to promote the concept of DfE. In addition to existing literature, the proposed dynamic recycling fee policy demonstrates the increased level of DfE engagement.

This paper, being complementary to existing perspectives, aims to examine the behaviors and the strategies of production migration of polluting firms from an economic point of view under appropriate decision conditions in terms of uncertain influence of supply chain support and green technology progress.

Strategic alternatives are investigated by using option pricing tools to examine the impact of various characteristics of green technology development and supply chain relations on the timing of the decision.

The theoretical and empirical results show that a polluting firm should not consider the option of relocating to offshore countries if uncertainty has been anticipated. It is suggested that, by facing green technology development uncertainty, a firm should be refrained from relocating production abroad if technology develops and offshore cost advantage disappears soon. On the other hand, a pre‐emptive migration strategy is preferable when the green technology is anticipated to be delayed.

A polluting firm in a supply chain faces challenges of uncertainty depending on whether it decides to produce domestically or to relocate internationally. The analysis conveys a concept that polluting firms can be more profitable by promoting clean production technology, instead of relocating to offshore or so called pollution havens.

The paper contributes to the existing literature on the evaluation of offshore migration option values by taking extra consideration of uncertainty in the supply chain cost, green technology progress and complementing to studies in a moral perspective.

The purpose of this paper is to explore how corporate environmental strategies, namely, environmental management strategy (EMS) and green product strategy (GPS), affect the competitiveness of a firm. In addition, this study investigates whether the environmental collaboration in supply chains (ECSC), namely, environmental collaboration with suppliers (ECS), and environmental collaboration with customers (ECC) moderate the environment-performance relationship.

Survey methodology and regression modeling are adopted to assess the relationship between corporate environmental strategy and competitive performance of a company, including the moderating effects of ECSC.

Competitiveness is positively affected by EMS and GPS. ECSC moderately affects the links among EMS, GPS, and competitiveness. Regarding the differences between the impacts of ECS and ECC on performance, only ECS acts as a moderator in the enhancement of EMS and GPS. Thus, ECS positively contributes to enhance competitive advantage. In contrast to perceptions, ECC directly improves firm competitiveness.

The findings support the understanding that the moderating role of ECSC may explain the conflicting results in environment-performance linkages. In particular, suppliers and customers could impact EMS and GPS in direct or interactive ways, or both, to enhance the performance of a firm.

Significant performance improvements are influenced not only by the real environmental commitment of companies to internal green management but also by the positive relations of firms with their external cooperative capabilities in environmental relationships with chain partners.

This research is the first to suggest and empirically test the moderating impacts of ECSC on the relationship between corporate environmental strategy and competitiveness.

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.

The purpose of this paper is to examine Chinese traditionality as a predictor of applicants' procedural fairness perceptions in selection, and both its direct and indirect relationship with applicants' recommending behavior, job performance and turnover intention three to four months post hire. Traditionality, as a moderator of perceptions‐outcomes relationships, is also tested.

Survey data of 218 supervisor‐subordinate dyads were collected from Mainland Chinese organizations. Data were gathered in two waves, with demographic and traditionality measures taken at time 1, and supervisory ratings of performance, recommending behavior and intention to turnover taken at time 2.

One component of traditionality alone (Respect for Authority) positively predicted applicants' procedural fairness perceptions. These perceptions, in turn, predicted recommending behavior (+), job performance (+) and turnover intentions (−). There were also direct relationships between Respect for Authority and both job performance (+) and turnover intention (−). The data failed to support the moderating effect of Chinese traditionality on the relationships between procedural fairness perceptions and outcome variables.

Despite the methodological strengths of this study, the study is cross‐sectional in nature which weakens causal inferences regarding the relationships in the theoretical model. Moreover, the paper does not investigate empirically the concrete mechanisms from Chinese traditionality to fairness perceptions and from fairness perceptions to outcome variables, since its foci are the predicting and moderating roles of Chinese traditionality.

The paper's findings underscore the importance of Respect for Authority as the key and only component of Chinese traditionality that predicts procedural justice perceptions and worker outcomes.