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The purpose of this paper is to develop a method to measure the difficulties of items required to achieve Authorized Economic Operator (AEO) validation and investigated companies’ abilities to obtain AEO certification based on an empirical analysis of 201 supply chain-related companies in Taiwan.

The Rasch model was applied to convert the ordinal raw data collected from questionnaire surveys into values on an interval scale to measure companies’ abilities and item difficulties for AEO validation. The model was estimated using WINSTEP, which is an iterative computer program.

The study results show that self-risk assessment and the formulation of security policies are the most difficult items to accomplish for AEO validation, whereas establishing security facilities is the easiest task to accomplish. Additionally, a company’s ability to obtain AEO validation was found to be positively correlated with a company’s turnover volume and its number of staff.

This research focusses on supply chain-related companies in Taiwan. Thus, the findings may not be transferable directly to other companies, circumstances, or countries.

Using the Rasch analysis, both company’s abilities and item difficulties could be measured numerically and compared meaningfully. The study results could be used as references for the government to create polices to guide companies to meet the requirements of AEO validation in the future.

According to the study results, only 43.28 percent of the respondent companies have sufficient confidence to completely comply with all 26 security items for AEO validation; this implies that AEO validation criteria should be adjusted or some programs should be provided by the government to improve companies’ abilities for AEO validation, if the government genuinely wants to effectively encourage companies to obtain AEO certification.

This study introduced a method to estimate items’ difficulties and companies’ abilities for AEO validation with values on a consistent interval scale. Thus, a comparison between companies’ abilities and items’ difficulties could be graphically illustrated. The results of this study provide a useful tool to investigate whether the AEO validation criteria are appropriate for the potential companies that can apply for AEO validation.

Despite the increasing recognition of coffee tourism, there is limited research on the influence of memorable tourism experiences (MTEs) on coffee tourist behaviours. This investigation attempted to fill the gap in extending the MTE model by integrating travel motivations and expectation–confirmation theory (ECT).

A mixed-method approach was employed. A survey questionnaire containing closed- and open-ended questions was used to obtain quantitative and qualitative information. Interviews with coffee shop owners were also conducted to obtain greater insight.

Both the quantitative and qualitative findings confirmed that coffee tourists’ revisit and word-of-mouth intentions were strongly influenced by satisfaction and MTEs, which were predicted by confirmation of expectations (CoEs) and travel motivations.

The findings confirmed that travel motivation is one of the most important precursors of MTEs. CoE was also determined to be a precursor of MTEs. MTEs had positive influences on satisfaction, word of mouth (WoM) and revisit intentions.

The results offer insights by identifying vital factors linked to coffee tourist experiences and satisfaction, which will aid practitioners developing better marketing strategies.

The memorable tourism experience scale has rarely been applied in food tourism and particularly in relation to coffee consumption. Moreover, this research is unique in investigating the relationships among motivations, CoE, MTEs, satisfaction and WoM and revisit intentions.