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This study aims to holistically explore the intersection of sustainable supply chain management, carbon accounting and life cycle assessment (LCA). The purpose of this study is to derive state-of-the-art knowledge of this landscape and use it to build a structured research agenda that can help to further develop this field.

Seventy-eight distinct contributions, identified through a rigorous, transparent and replicable search protocol, are analyzed through a systematic literature review. Additionally, bibliometric information on the studies is extracted from the Scopus database and visualized through the use of VOSViewer and RStudio.

This study outlines the current state-of-the-art knowledge across three spheres of supply chain management, synthesizing the extant literature into several nascent themes – namely, the significance of Scope 3 emissions; how LCA can be integrated into carbon accounting and sustainability disclosures, the differences between countries and industries in terms of carbon emissions and policies for a concerted effort toward carbon reduction.

Several practical implications can be drawn from the research for both practitioners and policymakers. The research provides a comprehensive, bird’s eye view on the discrepancies between different industries and countries in terms of carbon emissions, along with how carbon accounting should move toward strategic and predictive adoption.

The results show that adopting life cycle thinking can contribute to more transparent monitoring of carbon emissions in supply chains; however, its use in sustainability reporting needs to become more widespread, encompassing not only the carbon footprints of products and services but also the organization as a whole.

Using bibliographic and critical qualitative analyses, this study reviews the literature on LCA in sustainable supply chain management and carbon accounting. To the best of the authors’ knowledge, this review is the first attempt to synthesize this relevant and rapidly growing nexus between the three literature streams mentioned above.

Performance management systems (PMSs) must remain dynamic and maintain the ability to withstand the high degrees of complexity brought about by digital technologies (DTs). Academics and practitioners have explored DTs and PMSs separately. This study aims to bridge the academic and practitioner discourse surrounding PMSs and DTs to promote knowledge diffusion and collaboration.

The authors adopted a mixed method approach, combining quantitative and qualitative content analysis, which were validated through semi-structured interviews with academics and practitioners. The authors first conducted a content analysis of the academic literature contained in the Scopus database and the practitioners' literature featured in the Nexis Uni database.

The combined academic-practitioners’ body of knowledge underscores the risk and environmental dimension, as well as the theoretical frameworks employed to explore digitally empowered PMSs. These findings were corroborated by 17 confirmatory interviews conducted with scholars and practitioners.

Due to its scope, the research is limited to publications listed on Scopus and Nexis Uni. Additionally, its qualitative and interpretative nature presents some generalizability issues.

This study connects the intentions of scholars and practitioners concerning PMSs and DTs to promote collaborative efforts and knowledge diffusion. Moreover, considering the broader spectrum of insights, this manuscript postulates new avenues of research that address the key issues and concerns of both academics and practitioners. Finally, this article showcases PMs- and DT-appropriate theoretical frameworks that can inform practitioners’ discourse and work.

Crowdfunding platforms are important innovations that allow nascent entrepreneurs to gain access to financial resources and crowd inputs to better refine and develop their business idea. The purpose of this paper is to investigate user-generated content (UGC) from both reward-based and equity-based crowdfunding platforms, in order to determine its implications for open and user innovation.

A total sample of 200 most funded technology products was extracted from four distinct crowdfunding platforms. A latent Dirichlet allocation (LDA) analysis was performed in an attempt to identify critical latent factors. The analysis was carried out through the theoretical lens of innovation literature, in an attempt to uncover the implications for open and user innovation.

The authors were able to highlight the implications of crowd inputs for open and user innovation, as backers provided nascent entrepreneurs with several types of feedback, ranging from product co-development to strategy and marketing. Furthermore, the study provided an overview of the key differences emerging between reward-based and equity-based crowdfunding platforms in terms of crowd inputs.

The present study features intrinsic limitations of the LDA approach being adopted. More specifically, it only provides a “snapshot” in time of the current sample, rather than investigating its development over time.

The present study solidifies the value of UGC as a resource to mine for trends and feedback.

The study contributes to both the innovation literature and the crowdfunding literature. It bridges several gaps found in both literature streams, by providing empirical evidence to test and verify pre-existing exploratory research.

The popularity of Management Control Systems (MCS) has increased due to rising uncertainty in business operations. They help companies implement strategies, manage information and incentivize managers with common goals. Therefore, the research aims to take stock of the evolution of studies on MCS adoption, identifying trends and future avenues.

While a few systematic literature reviews have investigated the implications of MCS adoption amid specific contexts, a comprehensive bibliometric analysis of the whole research stream is lacking. Consequently, our study analyzes relevant scientific literature on the topic of MCS from 1970 to 2022, through the use of VOSviewer, R Bibliometrix and Latent Dirichlet Allocation to visualize the bibliometric results.

The study provides a comprehensive overview of key emerging topics in MCS literature and the ways in which they have developed over the decades, along with a structured research agenda built upon the literature gaps found amid current and past scientific production. It does so by analyzing scientific production from multiple bibliometric aspects and advanced text-mining techniques to extract common emerging themes from the dataset.

To the best of the authors’ knowledge, no attempt has yet been made to synthesize MCS literature through a bibliometric review. The bibliometric perspective on MCS enhances scholars' understanding of the historical path and future trends of the literature stream, while helping practitioners update existing MCS conceptualizations in light of contemporary changes.