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The purpose of this paper is to provide guidelines for improving performance dialogue with a specific process and framework, leveraging existing literature.

Building upon Mengis and Eppler’s (2008) framework for conversation management, this study follows an action research approach, involving a process of co-creation, split into several distinct stages including two series of 20 semi-structured interviews with top executives of a major pharmaceutical company. These executives were directly involved in using the performance measurement system (PMS) in order to provide guidelines for improving performance dialogue. The data were analysed using content analysis, and the authors helped to develop a solution.

The analysis reveals a variety of recurrent communicative challenges and practices, which all appear to be characteristic for the performance dialogue process. The proposed framework consists of four separate phases, namely: data collection and identification of the main under and over-performance gaps, root cause analysis and action plans formulation, dialogue and solution implementation and dissemination of best practices.

This research contributes to the literature by introducing work on organisational communication into the field of PMS, by proposing a communication model for performance dialogue implementation. Furthermore, it addresses companies’ issues on how to successfully use their PMS and proposes a framework with specific prerequisites to be put into practice. Finally, this study offers a different explanation in the form of the lack of performance dialogue for the failure of PMS, compared to the current explanations found in the literature.

Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However, the management of the knowledge generated from the BDA as well as its integration and combination with firm knowledge have scarcely been investigated, despite an emergent need of a structured and integrated approach. The paper aims to discuss these issues.

Through an empirical analysis based on structural equation modelling with data collected from 88 Italian SMEs, the authors tested if BDA capabilities have a positive impact on firm performances, as well as the mediator effect of knowledge management (KM) on this relationship.

The findings of this paper show that firms that developed more BDA capabilities than others, both technological and managerial, increased their performances and that KM orientation plays a significant role in amplifying the effect of BDA capabilities.

BDA has the potential to change the way firms compete through better understanding, processing, and exploiting of huge amounts of data coming from different internal and external sources and processes. Some managerial and theoretical implications are proposed and discussed in light of the emergence of this new phenomenon.

In the continuing credit squeeze, sovereign wealth funds (SWFs) are still active in international lending and are eagerly sought out by large, cash‐strapped companies in the West. The purpose of this paper is to examine their nature and strategies before and after the onslaught of the credit crunch and global economic downturn in order to advise corporates on how best to design their strategies and terms in approaching the SWFs for funds.

An analysis is made of SWFs in their dealings with Western corporate borrowers and a case study made of Barclays Bank which, faced with three major options in 2008 to raise a large amount of cash, chose to attract funding from three Gulf SWFs.

SWFs certainly qualify as lenders of last resort (“white knights”), providing ready loans, albeit on premium terms, at a current time of severely restricted credit supply from other sources. Alternative sources of funds – stockholders and government bail‐out – also suffer from disadvantages relating to the characteristics of their loans.

Corporate borrowers should currently view SWFs as attractive “white knight” sources of loans when other providers are constrained. The analysis in this paper, including the experience of a major borrower, Barclays Bank, suggests that SWFs are demanding tougher terms as a result of their strong bargaining positions and historical losses, and that companies should tailor SWF loan contracts to contain maximum incentives and safeguards to produce successful results.

This is the first paper to analyse the new role and strategies of SWFs in the credit crisis context, as well as the required response of cash‐strapped companies seeking loans from them.

The purpose of this study is to map current knowledge on big data analytics (BDA) for supply chain risk management (SCRM) while providing future research needs.

The research team systematically reviewed 53 articles published between 2015 and 2021 and further contrasted the synthesis of these articles with four in-depth interviews with BDA startups that provider solutions for SCRM.

The analysis is framed in three perspectives. First, supply chain visibility – i.e. the number of tiers in the solutions; second, BDA analytical approach – descriptive, prescriptive or predictive approaches; third, the SCRM processes from risk monitoring to risk optimization. The study underlines that the forefront of innovation lies in multi-tiered, multi-directional solutions based on prescriptive BDA to support risk response and optimization (SCRM). In addition, we show that research on these innovations is scant, thus offering an important avenue for future studies.

This study makes relevant contributions to the field. We offer a theoretical framework that highlights the key relationships between supply chain visibility, BDA approaches and SCRM processes. Despite being at forefront of the innovation frontier, startups are still an under-explored agent. In times of major disruptions such as COVID-19 and the emergence of a plethora of new technologies that reshape businesses dynamically, future studies should map the key role of such actors to the advancement of SCRM.

This study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing the literature and proposing future research directions for digital entrepreneurship and knowledge management through an interdisciplinary framework.

This study uses the Derwent Data Analyzer to identify and visualise the extant studies on digital entrepreneurship. This study qualitatively analyses the hot topics and trends in digital entrepreneurship research to understand digital entrepreneurship from the knowledge management perspective.

The authors found two dominant trends in existing research: logical and development trend exploration at the theoretical background and empirical research at the practical dimension. To understand digital entrepreneurship from a knowledge management perspective, the authors summarised the theoretical logic and internal and external reasons why knowledge management is required in digital entrepreneurship. Moreover, the authors analysed the new features of digital entrepreneurship under five aspects: management concept, object, content, scope and focus. The authors concluded that existing research on integrating knowledge management and digital entrepreneurship is primarily conducted from three perspectives: technology, platform and ecosystem.

This study provides an in-depth analysis of digital entrepreneurship from a knowledge management perspective. The findings can further promote the theoretical research and practical development of digital entrepreneurship and knowledge management. This approach provides a new direction for interdisciplinary study and enriches entrepreneurship research. In addition, this study proposes a knowledge management framework for digital entrepreneurship research. The findings contribute to understanding the role and function of knowledge management in digital entrepreneurship.