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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.

The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.

Supply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.

Three main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.

This study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.

The authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.

Understanding parental psychopathology interaction is important in preventing negative family outcomes. This study investigated the effect of paternal psychiatric history on maternal depressive symptom trajectory from birth to 12 months postpartum. Maternal Edinburgh Postpartum Depression screens were collected at 1, 6 and 12 months and fathers' psychiatric diagnoses were assessed with the Structured Clinical Interview for DSM-IV from 64 families. There was not a significant difference in the trajectory of maternal depressive symptoms between mothers with partners with history of or a current psychiatric condition or those without a condition. However, mothers with partners with substance abuse history had higher levels of depressive symptoms relative to those affected by mood/anxiety disorders or those without a disorder. Our results call for a closer look at paternal history of substance abuse when treating postpartum maternal depression.

Building trust and living interpersonal trust are crucial corporate executive virtues that are needed today. Once you have developed and solidified a high level of genuine interpersonal trust with all your stakeholders, especially customers, suppliers, and employees, then you are on the right path of managing and transforming your company. A high level of interpersonal trust between all stakeholders and corporates in a business situation will break down communication barriers, foster serious conversation and sharing of ideas, and will eliminate corporate transactional anxieties of fear, mistrust, guilt, rigidity, blame, and resentment. When stakeholders trust you and you trust them, then you speak freely, they speak freely, and your mutual sustained transparency is a gateway to survival, revival, and sustained corporate recovery and transformation, and steady growth and prosperity. Conversely, when there is low trust, high mistrust, and high distrust among stakeholders in a business situation, communications and conversations are stressed and fragmented, teamwork and team spirit are very low, and the company is heading toward its ruin and extermination. Such is the crucial role of interpersonal trust in business. This chapter explores the crucial phenomenon of corporate interpersonal trust. We review various cases, models, concepts, definitions, and theories of trust from the management literature in general, and from the marketing field in particular, to derive psychological, behavioral, ethical, and moral principles of corporate trust, trusting relations, and trusting strategies.

The purpose of this study is to gain a deeper understanding on if and how hotel senior managers (HSMs) in four-star chain hotels in London and Stockholm implemented crisis management techniques (CMTs) as a response to the economic impacts of the COVID-19 pandemic in 2020.

Qualitative questionnaires were sent to 30 HSMs in London and Stockholm. From the feedback, this paper assesses, using thematic analysis, differences in CMTs used, past and present, alluding to COVID-19’s economic impacts on hotels.

Results determined that crises broadly economically impacted destinations similarly through loss of travellers and thus revenue. However, with a more intricate and specific assessment, destinations are impacted differently; thus, CMTs must alter. Findings show many CMTs can be implemented to reduce crises’ economic impacts. The literature review and empirical results allude to many previous and current CMTs, although these must be relevant and specific to the crisis, hotel and/or destination.

This paper has theoretical implications for academics on, among other things, theory building. Practically, it supports hotels in developing and determining CMTs to reduce the economic impacts of crises, to be better prepared when another pandemic emerges and contributes to the tourism and hospitality industry’s knowledge of management strategy within crises.

To the best of the authors’ knowledge, this is the first Swedish study focusing on post-COVID-19 crisis management in hotels in London and Stockholm.

The purpose of this paper is the better understanding of the increasing relation between big data 2.0 and neuromarketing, particularly to influence election outcomes, along with a special aim to discuss some raised doubts about Trump’s presidential campaign 2016 and its ability to hijack American political consumers’ minds, and to direct their votes.

This paper combines deductive/inductive methodology to define the term of political neuromarketing 2.0 through a brief literature review of related concepts of big data 2.0, virtual identity and neuromarketing. It then applies a single qualitative case study by presenting the history and causes of online voter microtargeting in the USA, and analyzing the political neuromarketing 2.0 mechanisms adopted by Trump’s political campaign team in the 2016 presidential election.

Based on Trump’s political marketing mechanisms analysis, the paper believes that big data 2.0 and neuromarketing techniques played an unusual role in reading political consumers’ minds and helping the controversial candidate to meet one of the most unexpected victories in the presidential elections. Nevertheless, this paper argues that the ethics of using political neuromarketing 2.0 to sell candidates and its negative impacts on the quality of democracy are and will continue to be a subject of ongoing debates.

The marriage of big data 2.0 and political neuromarketing is a new interdisciplinary field of inquiry. This paper provides a useful introduction and further explanations for why and how Trump’s campaign defied initial loss predictions and attained victory during this election.

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.