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As focal firms in supply networks reflect on their experiences of the pandemic and begin to rethink their operations and supply chains, there is a significant opportunity to leverage digital technological advances to enhance socially responsible operations performance (SROP). This paper develops a novel framework for exploring the adoption of Industry 4.0 technologies for improving SROP. It highlights current best-practice examples and presents future research pathways.

This viewpoint paper argues how Industry 4.0 technology adoption can enable effective SROP in the post-COVID-19 era. Academic articles, relevant grey literature, and insights from industry experts are used to support the development of the framework.

Seven technologies are identified that bring transformational capabilities to SROP, i.e. big data analytics, digital twins, augmented reality, blockchain, 3D printing, artificial intelligence, and the Internet of Things. It is demonstrated how these technologies can help to improve three sub-themes of organisational social performance (employment practices, health and safety, and business practices) and three sub-themes of community social performance (quality of life and social welfare, social governance, and economic welfare and growth).

A research agenda is outlined at the intersection of Industry 4.0 and SROP through the six sub-themes of organisational and community social performance. Further, these are connected through three overarching research agendas: “Trust through Technology”, “Responsible Relationships” and “Freedom through Flexibility”.

Organisational agendas for Industry 4.0 and social responsibility can be complementary. The framework provides insights into how Industry 4.0 technologies can help firms achieve long-term post-COVID-19 recovery, with an emphasis on SROP. This can offer firms competitive advantage in the “new normal” by helping them build back better.

People and communities should be at the heart of decisions about rethinking operations and supply chains. This paper expresses a view on what it entails for organisations to be responsible for the supply chain-wide social wellbeing of employees and the wider community they operate in, and how they can use technology to embed social responsibility in their operations and supply chains.

Contributes to the limited understanding of how Industry 4.0 technologies can lead to socially responsible transformations. A novel framework integrating SROP and Industry 4.0 is presented.

The purpose of this paper is to investigate the density, surface quality, microstructure and mechanical properties of the components of the selective laser melting (SLM) parts made at different building orientations. SLM is an additive manufacturing technique for three-dimensional parts. The process parameters are known to affect the properties of the eventual part. In this study, process parameters were investigated in the building of 316L structures at a variety of building orientations and for which the fracture toughness was measured.

Hardness and tensile tests were carried out to evaluate the effect of consolidation on the mechanical performance of specimens. Optical and electron microscopy were used to characterise the microstructure of the SLM specimens and their effects on properties relating to fracture and the mechanics. It was found that the density of built samples is 96 per cent, and the hardness is similar in comparison to conventional material.

The highest fracture toughness value was found to be 176 MPa m^(1/2) in the oz. building direction, and the lowest value was 145 MPa m^(1/2) in the z building direction. This was due to pores and some cracks at the edge, which are slightly lower in comparison to a conventional product. The build direction does have an effect on the microstructure of parts, which subsequently has an effect upon their mechanical properties and surface quality. Dendritic grain structures were found in oz. samples due to the high temperature gradient, fast cooling rate and reduced porosity. The tensile properties of such parts were found to be better than those made from conventional material.

The relationship between the process parameters, microstructure, surface quality and toughness has not previously been reported.

The purpose of this paper is to study new process parameters which were selected to achieve the full density of Ti-6Al-4V samples in different building orientations and investigate fracture toughness property and its relation to the microstructure, an area which has not previously been reported in full detail and which may offer information to a designer. Direct metal laser sintering (DMLS) is an additive manufacturing technique that directly manufactures three-dimensional parts, layer-by-layer, to scan and melt metal powders for aerospace applications.

Hardness and tensile tests were carried out to evaluate the effect of consolidation on the mechanical performance of specimens made at three different building directions. Optical and electron microscopy were used to characterise the microstructure of the DMLS specimens and their effects on the fractures and mechanical properties.

It was found that the built samples have an excellent density at 4.5 g/cm, and the sample surfaces parallel to the building direction are rougher than the perpendicular surfaces. The fracture toughness result was higher than that of the cast material for the same alloy and higher than the Ti-6Al-4V parts fabricated by electron beam melting. This results in the superior mechanical properties of DMLS, while slightly lower in the zy direction owing to cracks, porosity and surface finish.

The tensile strength was found to be higher than the wrought material, and the samples exhibited brittle fractures owing to the martensitic phase, which is caused by a high temperature gradient, and the mechanical properties change with the change in the microstructures at different building directions.

This paper contains original research.

This paper aims to identify the extent to which the COVID-19 pandemic disrupted the academic job market in North America and the ways in which faculty job applicants altered their applications in response to a changing academia.

The data presented here is the portion relevant to COVID-19 collected in a survey of faculty job applicants at the end of the 2019–2020 job cycle in North America (spring 2020). An additional “mid-pandemic” survey was used in fall 2020 for applicants participating in the following job search cycle to inquire about how they were adapting their application materials. A portion of data from the 2020–2022 job cycle surveys was used to represent the “late pandemic.” Job posting data from the Higher Education Recruitment Consortium is also used to study job availability.

Examination of faculty job postings from 2018 to 2022 found that while they decreased in 2020, the market recovered in 2021 and beyond. While the market recovered, approximately 10% of the faculty job offers reported by 2019–2020 survey respondents were rescinded. Respondents also reported altering their application documents in response to the pandemic as well as delaying or even abandoning their faculty job search.

This paper provides a longitudinal perspective with quantitative data on how the academic job market changed through the major events of the COVID-19 pandemic in North America, a subject of intense discussion and stress, particularly amongst early career researchers.

The purpose of this paper is to research how corporate communication regarding a specific corporate event (i.e. Tesla’s tweets about a new product) as well as the framing of both the event itself and the market reactions therewith in the news media influence the formation of the share price of the respective company over time. In so doing, the study provides insights into the nature of market-moving information and the role of financial news flows in shaping market reactions in today’s high-frequency news and information environment.

Using a multi-method case study approach, combining quantitative intraday event studies with a qualitative text analysis of financial online news and tweets by Elon Musk and Twitter, the authors shed light on the complex interaction between market events, financial information and stock market reactions. The analysis covers a period of four days, encompassing the announcement and introduction of the new battery pack for Model S and X by Tesla as well as the accompanying and follow-up reporting by the financial news media.

Findings show that market reactions are driven by business events and expectations among the market rather than the follow-up reporting by financial news media. Financial online news instead seems to heavily rely on Elon Musk’s attention-triggering news to sustain its 24-h airtime with a variety of reporting tools, keeping the highly demanded audience engaged. Eventually, Twitter accounts of media visible companies and personalities, such as Tesla and its CEO Elon Musk, have been found to be useful market information sources for day traders and shareholders to trade at a profit.

The study is a response to recent discussions about the legitimacy of Twitter communication by CEOs or representatives of listed companies. The findings show that Twitter communication needs to be well considered in light of strict market regulations (e.g. SEC in the USA) regarding insider-trading and the publication of market-relevant information. In addition, corporate financial communication should avoid impetuous communication via social media channels as this could have deterrent effects on the market valuation of a listed company.

This study is based at a police force’s communications centre which undertakes a vital role in receiving and processing emergency and non-emergency telephone calls from the public and other agencies. The purpose of this paper is to evaluate a method for addressing the conflict between the need to reduce cost and the requirement to meet national standards in terms of a timely response to customer calls.

In a two-stage methodology an activity-based costing (ABC) approach is used as a framework to show how costs are generated by the three “drivers” of cost which relate to the design efficiency of the process, the demand on the process and the cost of resources used to undertake the process. The study then provides an analysis from a resource driver perspective using discrete-event simulation to model workforce staffing scenarios.

Cost savings within the police communications centre are identified from an analysis of the three drivers of cost. Further analysis from a resource driver viewpoint using a simulation study of an alternative workforce schedule predicted an overall reduction in staffing cost of 9.4 per cent.

The study outlines an innovative method that identifies where cost can be reduced using ABC and then provides an assessment of strategies that aim to reduce cost whilst maintaining service levels in a police operation using simulation.

Christopher Smith has been appointed marketing director of Fishburn Printing Ink Co and also becomes a member of its management committee.

The Higher Education Funding Councils in the UK are working with higher education institutions (HEIs) to develop a reliable, accurate and relevant set of Key Estate Ratios (KERs). A successful pilot study was carried out in 1998/99, with a national project ‐ including full data collection from all HEIs ‐ currently under way. The project has developed 14 ‘critical’ estate ratios for senior managers, which have been endorsed by the sector. The current national project has collected data from all HEIs for the last two years to enable the 14 KERs to be produced for each institution. In addition, the project has refined certain of the definitions which have been subject to consultation with the sector. The KERs ‐ and supporting data ‐ have been welcomed by senior managers and are being used actively across the sector. The structure of the underlying system, and the results that emerge, have considerable potential benefits to other property sectors.

Many research efforts have turned to sensing, and in particular computer vision, to create more flexible robotic systems. Computer vision is often required to provide data for the grasping of a target. Using a vision system for grasping of static or moving objects presents several issues with respect to sensing, control, and system configuration. This paper presents some of these issues in concept with the options available to the researcher and the trade‐offs to be expected when integrating a vision system with a robotic system for the purpose of grasping objects. The paper includes a description of our experimental system and contains experimental results from a particular configuration that characterize the type and frequency of errors encountered while performing various vision‐guided grasping tasks. These error classes and their frequency of occurrence lend insight into the problems encountered during visual grasping and into the possible solution of these problems.

The purpose of this paper is to mitigate the dearth in the library literature of large‐class, active learning pedagogies, by providing examples of these instructional approaches used in mega‐classes within the science, humanities, and education fields, for application within the library environment, specifically in large information literacy instruction sessions.

The author surveys both the library and science and education literatures, comparing coverage of active learning approaches in the professional literatures of each.

Although the library literature enthusiastically supports active learning approaches to teaching information literacy in theory, there are statistically few librarians who employ these learning modalities in their teaching. There are hardly any examples in the library literature of librarians using large‐class, active‐learning pedagogies. This article discusses some of the reasons behind librarians' reluctance to use active learning techniques and offers pragmatic suggestions from the literature of the sciences and education to alleviate this reticence.

This paper helps fill in the gap in the library literature discussing large‐class, active pedagogies for information literacy instruction. It offers some practical solutions from within the non‐library literature to some of the pedagogical obstacles inherent in mass classes, making explicit applications to information literacy instruction.