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The mass electronics sector is one of the most critical sources of waste, in terms of volume and content with dangerous effects on the environment. The purpose of this study is to provide an automated and accurate dismantling system that can improve the outcome of recycling.

Following a short introduction, the paper details the implementation layout and highlights the advantages of using a custom architecture for the automated dismantling of printed circuit board waste.

Currently, the amount of electronic waste is impressive while manual dismantling is a very common and non-efficient approach. Designing an automatic procedure that can be replicated, is one of the tasks for efficient electronic waste recovery. This paper proposes an automated dismantling system for the advanced recovery of particular waste materials from computer and telecommunications equipment. The automated dismantling architecture is built using a robotic system, a custom device and an eye-to-hand configuration for a stereo vision system.

The proposed approach is innovative because of its custom device design. The custom device is built using a programmable screwdriver combined with an innovative rotary dismantling tool. The dismantling torque can be tuned empirically.

The purpose of this paper is to identify and empirically examine the dynamic capabilities (DC) that drive the development of digital manufacturing capabilities (DMC) and the role of DMC in mediating their influence on firm performance.

Based on the dynamic capabilities view (DCV) of the firm, the authors develop a set of hypotheses that are tested through a survey of 110 managers in the manufacturing sector. The hypothesized model is tested through structural equation modeling.

The results indicate that although higher-order DC (HODC) have a strong influence on firm performance, their effects are partially mediated by the DMC that they generate, by positively affecting the extended production process.

The analysis contributes to a better understanding of the interplay between levels of the DC hierarchy by finding that DMC play an important role in translating HODC into enhanced firm performance.

By complementing the DCV with the disruptive innovation theory in a specific fast changing context, this study introduces a new construct (DMC) providing an original and considerable contribution to the literature. To the best of the authors’ knowledge, it is the first empirical study that includes and assesses all these elements together in the context of the manufacturing industry.

As construction of commercial and recreational complex building projects (CRCBPs) is one of the most important issues in many developing countries and requires a very high cost of implementation, it is important to identify and prioritize the risks of such projects. Therefore, the purpose of this study is to identify and rank the risks of CRCBPs by studying the case of the “Hamedanian Memorial,” a CRCBP in Iran.

To pursue this aim, a descriptive-survey method was used. The statistical population of the study consists of 30 experienced experts (consultants, contractors and employers) of the “Hamedanian Memorial” project selected according to the Cochran formula and minimum population census. A questionnaire was used as the data collection tool, administered in all stages of risk identification and evaluation, and was devised by using library and field methods based on the literature and research background, as well as interviewing experts in the risk identification and evaluation stages. Kendall’s coefficient of agreement was used to validate the experts’ opinions in the risk identification stage. The ranking in qualitative evaluation was done based on the risk intensity and the cumulative risk index.

The results show that the risks are associated with exchange rate fluctuation, inflation fluctuation, access to skilled workers, contractors’ claims and foreign threats from international relations.

The results and findings of the present study can be of interest to the executives of large commercial, leisure, public and private projects in developing and developed countries; understanding risks can significantly improve the decision-making process of CRCBPs.