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The purpose in this paper is to develop a systematic literature review aiming to reveal innovation opportunities associated with the thematic collaboration and trust in the reverse logistics field.

The authors adopted a parallel analysis approach segregating the systematic literature review papers in two groups at NVivo®, collaboration and trust in the supply chain and collaboration and trust in reverse logistics, aiming to explore in the first group of papers insights for innovation on collaboration and trust in reverse logistics. The content analysis strategy was supported by the knowledge exchange theory described in Gravier et al. (2008).

Reverse logistics is hardly dissociated from broader sustainable supply chain management approaches, which make all considerations on collaboration and trust designed for such approaches valuable and valid for reverse logistics. Collaboration and trust concepts in supply chain and in reverse logistics contexts are quite similar, while collaboration/trust is mandatory for managing networks in sustainable approaches and in reverse logistics, as well. Downstream and upstream, the chain disruptive innovation business models may be developed between focal companies and returns system third-party logistics providers, fourth-party logistics providers or end-customers, in a business-to-customer collaboration approach. Several collaboration technologies are listed in three perspectives: knowledge sharing, knowledge generation and knowledge implementation.

This study uses a specific protocol for the systematic literature review, and due to inclusion and exclusion criteria, other protocols can provide different results. The strategy of analysis under the knowledge exchange perspective may give a type of result different from other perspectives.

This research systematizes the existing knowledge on the collaborations and trust, which is a priority basis for reverse logistics, providing insights to researchers and practitioners in the area and identifying an agenda for future studies.

The purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.

A systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.

The results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.

This article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.

This study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.

This is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 4.0.

The aim of this paper is to develop a systematic literature review (SLR) aiming to identify reverse logistics (RL) concepts and practices applied to the end-of-life (EOL) and end-of-use (EOU) of pharmaceuticals and to identify and synthesize, through bibliometric indicators, research opportunities on RL, considering the analysis of publications in the periodical Supply Chain Management: An International Journal (SCMij).

The SLR followed two steps, namely, search for articles on the subject and content analysis of selected material and bibliometric analysis of publications using VOSviewer®.

The SLR allowed the compilation of evidences regarding pharmaceutical RL in the groups: environmental risk, the RL evolution and regulatory and stakeholder’s educational perspective. Despite the timid specific literature on pharmaceutical RL, it was also possible to point out research gaps and opportunities. Pharmaceutical RL seems to be influenced by studies from traditional RL including mathematical modeling, managerial strategies and technologies but prescind of a systemic solution. Besides reducing environmental impact, the motivation to implement pharmaceutical RL resides in its potential for revenue. Considering integrated logistics as a trend and an emerging issue, RL for the pharmaceutical industry needs to be addressed more thorough and broadly.

The limited number of papers returned in this SLR of pharmaceutical RL impaired the bibliometric analysis of them, leading to the inclusion of papers on general RL.

This study provides an overview of the evolution of RL in the pharmaceutical industry, it also clarifies concepts and EOL/EOU practices, particularly directed to the pharmaceutical industry RL.

Smart scenarios related to industries or cities, characterized by intensive technology transfer and use of innovative and disruptive technologies, have been in the spotlight either on academic or organizational discussions, especially those with a technocentric focus. Among these technologies, artificial intelligence (AI) emerges as the most challenging one due to its complexity. Therefore, this chapter aims to address AI, in particular the future of the labor market, exploring the challenges regarding the skills required in the context of AI technology, addressing its uses, challenges, and benefits. In order to achieve this goal, a systematic review was conducted on the extant literature using the methodology Methodi Ordinatio. The results show that the current literature is gradually changing from a more critical and negative view of AI to a more optimistic one, with more positive approaches and expectations regarding its benefits. As practical implications, the findings can be used as a guide for governments to develop strategies aiming to deal with upcoming challenges, especially regarding future jobs and employability.

Small and medium enterprises (SMEs), which main objective is to satisfy the basic needs of the entrepreneur, when geographically concentrated make up subsistence clusters. The purpose of this paper is to analyze collective efficiency in subsistence clusters as growth strategy and how is the process through which the relational capital and territorial proximity altogether improve performance of firms.

The research uses partial least squares techniques applied to a sample of 113 SMEs of wood industry in Oberá, Argentina.

SMEs in subsistence clusters can use relational capital and territory as resources to generate competitive advantages. These competitive advantages foster performance. In consequence, collective efficiency appears as growth strategy in subsistence SMEs.

Data are cross-sectional and in a conjuncture of economy expansion, future research should monitor the sample of firms using panel data to assess the development of relations. Sample is in a particular region and sector and generalizations should be done carefully.

SMEs probably should integrate and share industrial and business structures to develop systemic competitive advantages with a collective character. SMEs should leverage their spatial interaction to build trust and establish networks of cooperation that will be the source of their collective efficiency. These collaboration networks should base in the local knowledge.

Subsistence SMEs have strong impact on the most disadvantaged areas in developing countries. Growth strategies to professionalize these SMEs will have a major impact on the endogenous development of those territories.

The research provides a mechanism through which collective efficiency leads to better performance for subsistence SMEs.