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Purpose The purpose of this paper, focusing on the visually impaired and legally blind consumer, is to explore the relationship between the perceived consumer vulnerability on customer satisfaction and the effect of satisfaction on the intention of repurchase and recommendation as the determinants of store loyalty in an apparel store context. Design/methodology/approach A survey was conducted on 216 visually impaired and legally blind consumers in the province of Manisa, Turkey, concerning their apparel shopping store experiences to examine how the perceived vulnerability influences visually impaired and legally blind consumers’ satisfaction, recommendation and repurchase intentions. The data were analyzed using structural equation modeling. Findings The results of the study revealed that as the visually impaired and legally blind consumers perceive themselves more vulnerable, they become more satisfied with the store, and that the more they are satisfied with the store, the more their intention to recommend that store and purchase intention from that store increases. However, the authors’ investigation showed no significant differences between the consumers who were born blind and who became blind later in their life. Originality/value The paper contributes to the literature by extending the understanding of visually impaired and legally blind consumers’ perceived vulnerability in the brick-and-mortar stores and demonstrates how it is related to satisfaction as a major driver of post-purchase intentions like recommendation and repurchase. It also exhibits the fact that blind consumers – both congenitally blind and subsequently blind – cope with this vulnerability through their own solutions to go on their lives, and they do not perceive themselves as vulnerable, as it is perceived by the able-bodied.

Machine selection is an important and difficult process for the firms, and its results may generate more problems than anticipated. In order to find the best alternative, managers should define the requirements of the factory and determine the necessary criteria. On the other hand, the decision making criteria for choosing the right equipment may vary according to the type of the manufacturing facility, market requirements, and consumer assigned criteria. This study aims to find the best machine alternative among the three machine offerings according to twelve evaluation criteria by integrating entropy method with SAW method.

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