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This study aims at investigating the existing knowledge in the literature on quality management performance measurement in order to identify performance measures in the field of total quality management and classify measures according to the three levels of supplier, customer and company.

A systematic literature review is conducted at the intersection of performance measurement and total quality management fields. Four databases including Web of Sciences, Scopus, Emerald and Google Scholar were searched up to 2018. A final sample of 24 articles was selected based on the inclusion/exclusion criteria that constitutes the knowledge base of the study.

One of the problems that many organizations face is the lack of knowledge and resources on how to evaluate, improve and manage the quality performance. Through analysis and synthesis of the literature, the study revealed the measures for assessing quality performance at three levels of supplier, customer and company.

This study focuses only on four databases, which may have limited the number of the databases included and thus the scope of this investigation to a certain extent.

The present study aimed to identify and classify different performance measures through a systematic literature review framework classifying these measures into three groups. The article brings together fragmented literature from multiple studies to categorize research output regarding performance measurement of supply chain quality. The paper shows the state of the performance measurement in total quality management in supply chain.

Apitourism is a form of tourism that deals with the culture and traditions of rural communities and can be considered one of the most sustainable methods of development and tourism. Accordingly, this study aims to identify the key factors and plausible scenarios of Iranian apitourism in the future.

This study is applied research. For this purpose, first, by examining the theoretical foundations and interviewing experts, the key factors affecting the future of Iranian apitourism were identified. Then, using a binomial test, these factors were screened. Both critical uncertainty and DEMATEL techniques were used to select the final drivers.

Two drivers of “apitourism information system and promotional activities” and “organizing ecological infrastructure” were selected for scenario planning using critical uncertainty and DEMATEL techniques. According to these two drivers, four golden beehive, expectancy, anonymous bee and black beehive scenarios were developed. Each scenario represents a situation for apitourism in the future. According to the criteria of trend compliance, fact-based plausibility and compliance with current data, the “Black Beehive” scenario was selected as the most likely scenario. The “Golden Beehive” scenario shows the best case in terms of apitourism information system and implementation of promotional activities and organizing and providing ecological infrastructure. The “Black Beehive” scenario, on the other hand, describes an isolated and vulnerable system.

Developing plausible Iranian apitourism scenarios helps key stakeholders and actors develop flexible plans for various situations.