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International Journal of Operations and Production Management (IJOPM)'s Impact Pathway (IP) section has been launched in 2020 to host short contributions grounded in current managerial practices and/or policy development, challenging established operations and supply chain management (OSCM) knowledge and highlighting innovative and relevant research directions. This commentary reflects on the achievements of the section, delineates the key features of IP papers and stimulates further development.

This commentary provides a brief overview of the IJOPM's IP section, taking stock of the contributions that have been published so far, analysing their topics, methodologies, insights and impact.

The 19 contributions published over the last three years have dealt with a variety of emerging topics, ranging from the COVID-19 response to additive manufacturing, leveraging on key evidence from managerial practice that challenges consolidated knowledge and theory, providing clear research directions as well as managerial and/or policy guidelines.

The commentary reflects on the importance of phenomenon-driven research that seeks to bridge the gap between theory and practice, thus increasing the impact and reach of OSCM research. This is a call for contributions from scholars, business leaders and policymakers to develop further impact-oriented research.

The new geopolitical context being created by the Ukraine–Russia war highlights the need for structured approaches to planning and implementing unhooking strategies and developing associated supply chain reconfigurations.

The authors have interviewed six supply chain executives to begin the investigation of the key supply chain risks and disruptions caused by the Ukraine–Russia war.

Initial corporate responses to the Ukraine–Russia conflict were significant, perhaps unprecedented. However, as institutional, corporate and consumer sentiment influence reconfiguration responses, the authors have identified three supply chain pathways that underpin unhooking actions.

The authors selected respondents from each different type of supply chain interaction with the conflict zone (inbound, outbound and within), covering both components/intermediate products and finished goods. Therefore the sample size was small and designed to fit in with the spirit of the pathway initiative.

The authors reinforce the key role of procurement and supply chain management in not just supply but also in downstream markets that can accelerate decoupling and mitigate the associated supply chain disruptions.

The authors observe that supply chains are increasingly being weaponized, as external institutional and consumer influences necessitate companies to unhook from conflict zones, countries, or regimes. They are becoming increasingly intertwined with foreign policy.

The novelty of the contribution to the associated discourse is the perspective that after decades of increasing globalization and geographic dispersion of supply chains, the unhooking effort is not limited to a firm and its internal operations but involves multiple stakeholders. For instance, the full extent of the complex linkages of supply chains, networks and relationships that touch conflict zone geographies must be considered, particularly those that are incompatible with the firm's values and aims, including those of their stakeholders.

Using a sample of 9,898 firm-year observations from 1,821 unique Chinese listed firms over the period from 2004 to 2019, this study aims to investigate whether the market rewards meeting or beating analyst earnings expectations (MBE).

The authors use an event study methodology to capture market reactions to MBE.

The authors document a stock return premium for beating analyst forecasts by a wide margin. However, there is no stock return premium for firms that meet or just beat analyst forecasts, suggesting that the market is skeptical of earnings management by these firms. This market underreaction is more pronounced for firms with weak external monitoring. Further analysis shows that meeting or just beating analyst forecasts is indicative of superior future financial performance. The authors do not find firms using earnings management to meet or just beat analyst forecasts.

The authors provide evidence of market underreaction to meeting or just beating analyst forecasts, with the market's over-skepticism of earnings management being a plausible mechanism for this phenomenon.

The findings of this study are informative to researchers, market participants and regulators concerned about the impact of analysts and earnings management and interested in detecting and constraining managers' earnings management.

The authors provide new insights into how the market reacts to MBE by showing that the market appears to focus on using meeting or just beating analyst forecasts as an indicator of earnings management, while it does not detect managed MBE. Meeting or just beating analyst forecasts is commonly used as a proxy for earnings management in the literature. However, the findings suggest that it is a noisy proxy for earnings management.

Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users. Several features can be used for creating data mining and machine learning based spam classification models. Yet, spammers know that the longer they will use the same set of features for tricking email users the more probably the anti-spam parties might develop tools for combating this kind of annoying email messages. Spammers, so, adapt by continuously reforming the group of features utilized for composing spam emails. For that reason, even though traditional classification methods possess sound classification results, they were ineffective for lifelong classification of spam emails duo to the fact that they might be prone to the so-called “Concept Drift”. In the current study, an enhanced model is proposed for ensuring lifelong spam classification model. For the evaluation purposes, the overall performance of the suggested model is contrasted against various other stream mining classification techniques. The results proved the success of the suggested model as a lifelong spam emails classification method.

This viewpoint article discusses and analyses the need and benefits of a patient safety definition within the context of nursing.

This viewpoint article is supported by literature review, statutory documents and expert knowledge evidence. All these sources provided a unified narrative of the background, current aspects and future needs of patient safety.

The need for strengthening patient safety and the nurses' role within healthcare's actions towards patient safety are discussed. The predominant role of nurses due to the proportionate size and significant role along with the need for clarification of patient safety in nursing terms is recognised. Research evidence of nursing areas with safety issues and relevant nursing interventions are presented. Based on all findings, a research-based nursing specific patient safety definition is proposed. This definition includes three axes: what is patient harm, how this harm can be eliminated or reduced and which are the areas of nursing practice that are identified to provide opportunity for patient harm. These axes include nursing specifications of the patient safety definition.

It is the first time that a nurse specific patient safety definition is proposed. This definition strives to enhance nurse practitioners' understanding and engagement with patient safety by clarifying aspects of patient safety within everyday nursing practice.