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The purpose of this study was to perform a complete experimental assessment of a family of oil ferrous wear debris sensor is performed. The family comprised the original sensor and its re-engineered evolution, which is capable of detecting both amount and size of wear debris particles trapped by the sensor and some predefined oil condition properties.

In this work, the first step was to perform a design of experiments for the sensor validation. A specially defined test rig was implemented, and different ferrous wear debris was collected. For each sensor, two different tests were performed. The first test was called a “void test”, where quantified amounts of debris were collided with the sensor without oil. The second one was a dynamic test, where the sensor was installed in the test rig and different amounts of wear debris were added at a constant rate. In addition, specific tests related with oil properties detection were studied.

The results show excellent correlation of the sensor output signal with the amount of wear debris and a satisfactory detection of debris size in all ranges. Also, the dynamic test presented adequate representativeness, and sensors performed well in this scenario.

This paper shows the practical implementation of this type of sensor and the usual detection range and rate of detection for different debris size and quantities.

This work has a great utility for maintenance managers and equipment designers to fully understand the potential of this type of sensor and its suitability for the application required.

This paper deals with external audits, which are now commonly used in many industries (e.g. food, automotive and electrical). This study aims to assess whether a given organization meets the specific criteria. If the audit ends with a positive result, information about it is provided to selected interested parties, e.g. clients or contractors. Credibility is pivotal in adding value for all interested parties within the audit processes. This study seeks the factors which, in the opinion of the audited enterprises, have the most decisive impact on the credibility of external audits.

In keeping with the extant literature, research questions were developed regarding the factors influencing the credibility assessment of external audits. Data collected from 100 companies in the Polish food sector were used to construct the model and carry out statistical analyses. Linear regression analyses were also applied to determine the key factors influencing the credibility of audits.

This study is part of the research trend on the rationality of external audits and certification of quality management systems. This paper identifies nine main factors shaping the credibility of external audits. Two of them have the most decisive influence on credibility. The first one is the professional audit method (procedure). The second factor is the auditor’s knowledge of the specificity of the audited area.

This study did not consider the impact that the image/credibility of the organization represented by the auditors may have on the reliability of audits. This is one of the fundamental limitations that should be considered when analyzing the obtained results. To recognize this type of dependence, additional research should be carried out. Another limitation is that the research covers the food industry only. It would be interesting to know the situation in other types of industries.

This paper looks at the possibility of increasing the added value for audited enterprises. The proposed model can be used by managers of organizations conducting external audits and auditors to effectively use resources for process improvement, influencing the maximization of credibility of activities in the area of conformity assessment.

The originality of this study lies in adopting the perspective of audited enterprises in assessing the credibility of audits. To the best of the authors’ knowledge, this is the first study that adopts this approach. This paper contributes to the literature, particularly to better understand audited enterprises’ behavior (trust in audit results, satisfaction with audits, etc.).

This study seeks to investigate the impact of board attributes on environmental, social and governance (ESG) performance, along with exploring the mediating role of carbon emissions in this relationship.

To address this objective, the panel data approach was used to analyze the data were collected from 1,621 European companies from 2017 to 2021.

This study shows that board gender diversity, audit committee independence, expertise and board meeting attendance help enhance ESG performance. On the contrary, board size and composition do not affect ESG performance. The findings also showed that board gender diversity, audit committee independence, expertise and board meeting attendance are negatively related to carbon emissions performance. However, board size is related positively to carbon emissions performance. This indicates that the larger boards of directors may have diverse experiences that enhance the environmental performance of companies. Furthermore, the finding showed companies that contribute to lowering carbon emissions are more willing to improve their ESG performance. Also, carbon emissions mediate the relationship between the board's attributes and ESG performance.

The study's results have significant implications for firm managers in enhancing the efficiency of board decisions in determining environmental practices that matter to various groups of stakeholders. In addition, this study provides valuable input to regulators and policymakers regarding strengthening the regulations and controlling tools that enhance environmental performance.