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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.

The present article draws from the behavioral theory of the firm, and it explores whether various dimensions of organization slack can be employed as variables to measure organizations’ antifragility during times of uncertainty such as the Covid-19 pandemic. Furthermore, considering the limitations and regulations put into place during the most recent pandemic, the present study seeks to explore the moderating effect that collaborative networks might have on the relationship between various dimensions of organizational slack and firms performance.

The present study retrieves data from Thomson Reuters Data Stream, and it gathers observations from manufacturing companies located in Europe. The dataset is composed of observations spanning from the fiscal year 2019–2022. Consequently, through the use of a balanced panel data, the authors conduct multiple regression analysis.

The obtained empirical findings reveal that high discretion slack has a positive effect on companies performance whereas low discretion slack has a negative effect on their performance. Additionally, the obtained findings indicate that low levels of reliance on collaborative networks positively moderates the relationship between organizational slack and firms’ performance. On the other hand, high levels of reliance on collaborative networks negatively moderate the relationship between organizational slack and firms performance.

This manuscript carries several original contributions. It expands the literature stream concerning antifragility and collaborative networks. Additionally, it postulates an operational measure which can be used to indicate firms’ antifragility.

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.