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The purpose of this paper is to investigate the knowledge existing in the literature on supply chain resilience for identifying the supply chain practices adopted for securing resilience in given uncertain event.

A systematic literature review is conducted to identify 84 conceptual and empirical studies. The research findings are synthesized in categories of uncertain events, supply chain practices and outcomes.

A set of propositions linking the uncertain events, mechanisms and supply chain resilience improvement is developed. It was found that the sufficient conditions for resilience under unexpected disasters are substantially different from those required for resilience against disruptions caused by internal practices or complexity.

Practitioners can benefit from the knowledge of interventions and mechanisms to improve their supply chain resilience in the face of different unpredictable situations. The contribution of this paper is twofold: first, it develops an actionable theory of supply chain resilience by developing testable propositions in the context of supply chains exposed to uncertainties resulting from unexpected disruptions, complexity of supply chains and adoption of certain internal practice; second, the paper highlights the key shortcomings of existing literature and provides opportunities for further research and improvement.

Interventions to hasten patient discharge continue to proliferate despite evidence that they may be achieving diminishing returns. To better understand what such interventions can be expected to accomplish, the authors aim to critically examine their underlying program theory.

Within a broader study on patient flow, spanning 10 jurisdictions across Western Canada, the authors conducted in-depth interviews with 300 senior, middle and frontline managers; 174 discussed discharge initiatives. Using thematic analysis informed by a Realistic Evaluation lens, the authors identified the mechanisms by which discharge activities were believed to produce their impacts and the strategies and context factors necessary to trigger the intended mechanisms.

Managers' accounts suggested a common program theory that applied to a wide variety of discharge initiatives. The chief mechanism was inculcation of a sharp focus on discharge; reinforcing mechanisms included development of shared understanding and a sense of accountability. Participants reported that these mechanisms were difficult to produce and sustain, requiring continual active management and repeated (re)introduction of interventions. This reflected a context in which providers, already overwhelmed with competing demands, were unlikely to be able (or perhaps even willing) to sustain a focus on this particular aspect of care.

The finding that “discharge focus” emerged as the core mechanism of discharge interventions helps to explain why such initiatives may be achieving limited benefit. There is a need for interventions that promote timely discharge without relying on this highly problematic mechanism.

Realist evaluation seeks to answer the question of “what works for whom in which circumstances?” through developing and testing middle range theories (MRTs). MRTs are programme theories that outline how certain mechanisms of an intervention work in a specific context to bring about certain outcomes. In this paper, the authors tested an initial MRT about the mechanism of participation. The authors used evidence from a participatory organisational intervention in five worksites of a large multi-national organisation in the US food service industry.

Qualitative data from 89 process tracking documents and 24 post-intervention, semi-structured interviews with intervention stakeholders were analysed using template analysis.

The operationalised mechanism was partial worksite managers’ engagement with the research team. Six contextual factors (e.g. high workload) impaired participation, and one contextual factor (i.e. existing participatory practices) facilitated participation. Worksite managers’ participation resulted in limited improvement in their awareness of how working conditions can impact on their employees’ safety, health, and well-being. Based on these findings, the authors modified the initial MRT into an empirical MRT.

This paper contributes to the understanding of “what works for whom in which circumstances” regarding participation in organisational interventions.

This study aims to examine the extent to which “What Works” reviews in youth justice enable understanding of the features of effectiveness (what works, for whom, in what circumstances and why?) specified in the Effects–Mechanisms–Moderators–Implementation–Economic cost (EMMIE) framework.

The EMMIE framework examined findings within a sample of “What Works” style reviews of preventative youth justice intervention effectiveness.

“What Works” style reviews of evaluations of preventative youth justice interventions often omit the requisite details required to examine all of the necessary elements of effectiveness contained within the EMMIE framework. While effectiveness measures were typically provided, the dominant evaluation evidence-base struggles to consider moderators of effect, mechanisms of change, implementation differences and cost-effectiveness. Therefore, “What Works” samples cannot facilitate sufficient understanding of “what works for whom, in what circumstances and why?”. The authors argue that Realist Synthesis can fill this gap and shed light on the contexts that shape the mechanisms through which youth justice interventions work.

The authors extended the approach adopted by an earlier review of effectiveness reviews (Tompson et al., 2020), considering more recent reviews of the effectiveness of preventative interventions using the EMMIE framework. Unlike previous reviews, the authors prioritised the utility of the EMMIE framework for assessing the factors affecting the effectiveness of preventative interventions in youth justice.

The study develops a structure for procurement digitalisation by identifying its context drivers, technology interventions and performance-inducing mechanisms and exploring the linkages between these variables.

The study draws on rich interview and workshop data on 48 digital intervention projects, as reflected by mental models of managers from 12 case organisations in manufacturing, retail and service sectors. Supported by an a priori structure, the study employs an abductive cross-case analysis approach.

Results suggest several categories within the elements of context, intervention and mechanism to structure procurement digitalisation and the linkages between them. Seven propositions that reflect digitalisation strategy options in procurement are developed regarding the linkages. Internal complexity dominantly drives procurement digitalisation, motivating communication support and process structuring interventions, which in turn aim at procurement coordination and control as well as process improvement. External coercive pressure and external dynamism also drive interventions for information processing and decision aiding, which appear to be linked with supply market knowledge, strategic alignment and supplier capability assessment. Therefore, an internal–external dichotomy is observed as the main thrust of procurement digitalisation.

The study supports decision makers in developing digitalisation strategy options for different procurement contexts. The results also raise awareness of a possible bias in existing strategies for procurement digitalisation.

A novel forward-looking approach is employed to enable the design and construction of systems that do not yet exist by focusing on the mental models of managers in a systematic way.

Lean manufacturing has the potential for simultaneously improving the competitiveness and the social sustainability of the apparel industry in developing countries. However, there is limited research on the ways to a successful lean implementation in developing countries and with an emphasis on occupational health and safety (OHS) improvement.

The paper investigates four cases of lean implementation in garment factories and uses the design science research strategy, building on the context-intervention-mechanism-outcome (CIMO) framework to identify explanatory mechanisms that can be used for designing future action.

The study identifies tangible mechanisms that can lead to successful lean implementation. The most important mechanisms relate to practical top management support, worker involvement, application of lean tools and training.

The findings of this study can guide better lean implementation for the many garment factories in developing countries.

While the lean literature provides general recommendations for lean implementation, knowledge about the transfer mechanisms in developing countries as well as the connections between lean and OHS is limited. This paper contributes to lean implementation theory and to the discourse of positive lean by integrating efficiency and working conditions. In addition, the paper identifies transfer mechanisms for lean implementation in the garment industry in a developing country.

The reported study aims at connecting the two crucial aspects of manufacturing of future, i.e. advanced analytics and digital simulation, with an objective to facilitate real-time control of manufacturing operations. The work puts forward a framework for designing prescriptive decision support system for a multi-machine manufacturing environment.

The schema of the decision support system design begins with the development of a simulation model for a manufacturing shop floor. The developed model facilitates prediction followed by prescription. As a connecting link between prediction and prescription mechanism, heuristics for intervention have been proposed. Sequential design and simulation-based demonstration of activities that span from development of a multi-machine shop floor model; a prediction mechanism and a scheme of intervention that ultimately leads to prescription generation are the highlights of the current work.

The study reveals that the effect of intervention on the observed predictors varies from one another. For a machine under observation, subject to same intervention scheme, while two of the predictive measures namely penalty and desirability stabilize after a certain point, a third measure, i.e. complexity, shows either an increase or decrease in percent change. The work objectively establishes that intervention plans have to be evaluated for every machine as well as for every environmental variable and emphasizes the need for dynamic evaluation and control mechanism.

The proposed prescriptive control mechanism has been demonstrated through a case of a high pressure die casting (HPDC) manufacturer.

Here, this study aims to report a case study of the initial design and programme theory of an interdisciplinary work-focused relational group cognitive behaviour therapy (CBT) treatment programme for moderate-severe depression using realist methods.

This case study shows how the authors designed the intervention using component analysis of existing literature and focus groups of frontline practitioners and former service users and mind-mapping analysis to establish its operational logic and evaluated the theory underpinning the intervention using realist synthesis and evaluation to establish its conceptual logic.

An iterative hybrid approach of literature review, component analysis, focus group discussion and realist methods established the initial design and programme theory for the new intervention. The intervention focused on three areas of therapy, three inter-dependent outcomes, in a group format, with opportunities created for peer interaction. The main theoretical principles most likely to promote efficacy were to accelerate and optimise activation of one or more of six hypothesised mechanisms: realise, reflect, regulate, resolve, relate and retain/resume in the context of skilfully facilitated group psychotherapy.

This study outlines a methodological approach based on the layered ontology of critical realist philosophy, applied to a successful example, which will be useful during the early stages of the design and development of new group-based psychotherapeutic interventions.

By adopting the critical realist approach, the authors identified underlying mechanisms of change in relational group CBT. The theoretically integrated approach involving service users and practitioners from different professional backgrounds was unique and meant that the treatment programme was multi-modal rather than informed by a single therapeutic or theoretical approach.

This systematic literature review focuses on the following future advanced information and communication technologies (ICTs) applied in the maritime transport of cargo: Internet of Things (IoT), big data, cloud computing and autonomous ships/vessels (including unmanned ships/vessels). The review question is: “RQ: In what context and by means of what mechanism does the implementation of future advanced ICTs have disruptive impact on maritime transport?”.

The paper complies with the methodological requirements of systematic reviews. The information analysis and synthesis are based on the CIMO logic, referring to the context (C), intervention (I), mechanism (M) and outcome (O) of the implementation of future advanced ICTs in maritime transport.

The review identifies the contextual factors and components of the mechanism that lead to the disruptive impact of different types of future advanced ICT interventions on maritime transport.

The review approaches only the most important future advanced ICTs that will disrupt maritime transport.

The maritime transport organizations should consider: intended outcome as intervention trigger; increased efficiency and responsiveness; benchmarking.

For the first time, the CIMO logic is applied in a systematic review focused on future advanced ICTs in maritime transport. The CIMO-DMT model is elaborated as a basis for further research. Ten directions of study are recommended in a future research agenda.

The aim of this study was to identify interventions for and mechanisms of the digital transformation of purchasing and supply management (PSM) processes. The digital transformation of tactical and operational PSM processes has often progressed slowly despite the solid knowledge of advanced technologies.

This study used a qualitative exploratory approach based on 14 interviews with PSM executives from firms that are continuously working toward using advanced technologies in their PSM processes but have not yet gained full strategic benefits from digital transformation.

This study formulates five propositions regarding interventions and mechanisms that can positively influence the digital transformation of PSM processes. The main intervention in this regard is the renewal of data infrastructure, including platforms. PSM-related data should meet needs from both tactical and operational viewpoints. When applications serve as a source of data, they support digital transformation. Mechanisms such as supplier measurement and process improvement are outcomes of the digital transformation of PSM processes.

This study highlights the importance of common data sets for tactical and operational purchasing. These purchasing data should be owned and served by a cross-functional team. To create this interoperability, a firm needs global governance of open standards.

This study makes a theoretical contribution to the discussion of what kind of interventions positively influence on the digital transformation of PSM processes. Specifically, this study explains the integration needs of data and applications.