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The purpose of this paper is to assess how we implement new ways of managing relational risk at the operational level of outsourced projects and to provide guidance to project management (PM) policy makers and practitioners seeking to ensure project operations consistently deliver project relational risk management (PRRM) strategies.

Through exploratory study data were obtained from a panel of six experts in PM and from a pilot survey of PM practitioners. The data reveal future directions and vectors for scholarship and research activity in terms of the impact of PRMM-related mechanisms and deliverables on project success and the implementation process to enhance PRRM as a key PM capability.

Deliverables for PRRM need to part of a multidimensional framework that includes mechanisms besides the contract. Such a framework enables the codification of PM knowledge so that PRRM contributes to project success. With knowledge codified, PRRM strategies can be consistently delivered at the operational level. The framework is novel in that it integrates hereto disparate elements that are encompassed under the broad umbrella of relational governance mechanisms.

PM policy makers and practitioners recognise the importance of effective relationships to deliver projects successfully, yet they lack practical solutions to address the negative effects of dysfunctional relationships. The authors provide a list of PM deliverables for effective PRRM, including deliverables besides those related to the contract, which can be used in practice to bring the gap between PRRM strategy development and implementation. This will enable client organisations that outsource their projects to an external contractor to enhance their PRRM capability and increase the likelihood of project success.

The authors provide insights into how PRRM is practised at the project operations’ level where PM is outsourced. These insights lead to three pathways of impactful Operations Management (OM)/PM scholarship and research, namely, the following: 1) How PM deliverables act as a key success factor for effective PRRM? 2) How the duality of roles carried out by PM actors influences PRMM practices? 3) How companies innovate to enhance their PRMM capability? These pathways will enable PM research and scholarship to address disconnects between PRMM strategy and operations and hence go beyond answering “what” PRMM is to encompass “how” it is implemented.

There is a growing need for methodological plurality in advancing operations management (OM), especially with the emergence of machine learning (ML) techniques for analysing extensive textual data. To bridge this knowledge gap, this paper introduces a new methodology that combines ML techniques with traditional qualitative approaches, aiming to reconstruct knowledge from existing publications.

In this pragmatist-rooted abductive method where human-machine interactions analyse big data, the authors employ topic modelling (TM), an ML technique, to enable constructivist grounded theory (CGT). A four-step coding process (Raw coding, expert coding, focused coding and theory building) is deployed to strive for procedural and interpretive rigour. To demonstrate the approach, the authors collected data from an open-source professional project management (PM) website and illustrated their research design and data analysis leading to theory development.

The results show that TM significantly improves the ability of researchers to systematically investigate and interpret codes generated from large textual data, thus contributing to theory building.

This paper presents a novel approach that integrates an ML-based technique with human hermeneutic methods for empirical studies in OM. Using grounded theory, this method reconstructs latent knowledge from massive textual data and uncovers management phenomena hidden from published data, offering a new way for academics to develop potential theories for business and management studies.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.