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The ISO 14001 environmental management system (EMS) standard has been designed to help organizations in the creation of structured mechanisms for continuous improvement in environmental performance. This paper evaluates how ISO 14001 EMS and EMS‐like standards aid organizations in operating continuous source reduction programs by exploring some critical elements for program success. The ISO 14001 standard helps organizations define important EMS elements for continuous source reduction. However, adopting these elements may necessitate cultural changes, the core elements of which are embodied by TQM principles. The cultural changes support complex operational activities aimed at source reduction. Three case study firms are used to evaluate these critical EMS elements. Each firm showed substantially idiosyncratic situations attributable to each organization’s size, history, corporate culture, and technology. Despite the differences, however, the cases highlighted one critical point: employee empowerment, their willingness to make suggestions for improvement, and management’s effort to create employee participation in decision making are critical elements in managing continuous source reduction programs. These initial empirical observations provide some insight into how this cultural change may occur.

The Laplace and Fourier transforms have been employed to find the general solution to the fields equations in porous generalized thermoelastic medium subjected to thermomechanical boundary conditions permeated with various heat sources; in the transformed form. On the boundary surface, the distributed sources have been taken. To get the solution in the physical form, a numerical inversion technique has been used. The effect of continuous and moving heat sources with the thermomechanical boundary conditions; and the response of boundary sources (concentrated and continuous) with heat source varying with depth; on the normal stress component, change in volume fraction field and temperature distribution have been depicted graphically for a particular model. A particular case is also deduced from the present formulation.

The purpose of this paper is to propose a mathematical model for dispersion and diffusion of chemically reactive primary pollutants emitted from an elevated line sources into a stable atmospheric boundary layer with generalized wind velocity of quadratic function of vertical height z.

The governing partial differential equations are converted into the two‐dimensional time dependent partial differential equation by suitable choice of meteorological parameters and non‐dimensional variables, which is solved by the multiple inverse Laplace transform through Green's Function technique.

The three different types’ sources, viz. continuous, an instantaneous and step‐function type sources are studied. The pollutants considered are chemically reactive primary pollutants emitted from the above sources. In many previous works, solutions are obtained through numerical technique or numerical inversion of the Laplace transform; but here, an analytical method is carried out to find the exact solution through multiple inversion of Laplace transform, which yields an effective and accurate solution.

The paper describes how the authors obtained exact solutions for the elevated line sources into a stable atmospheric boundary layer arising in the chemically reactive primary pollutants model by inverse Laplace transform through Green's Function technique. The graphical results show that this method is very accurate. The gaseous pollutants converted into particulate matter and settled on surface terrain are also considered in this theoretical model.

The present investigation is concerned with a two‐dimensional problem in electromagnetic micropolar elasticity for a half‐space whose surface is subjected to mechanical or thermal source in the presence of a transverse magnetic field. Laplace and Fourier transform technique is used to solve the problem. As an application of the approach concentrated/continuous mechanical or thermal source has been taken. The integral transforms have been inverted by using a numerical technique to obtain the components of normal strain, temperature distribution, normal force stress and tangential couple stress in the physical domain. The expressions of these quantities have been given and illustrated graphically to depict the magnetic effect for two different theories of generalized thermoelasticity, Lord and Shulman (L‐S theory) and Green and Lindsay (G‐L theory). Some special cases of interest are also deduced from the present investigation.

Product returns information gives firms an opportunity for continuous strategic adaptation by allowing them to understand the reasons for product returns, learning from them and improving their products and processes accordingly. By applying the Dynamic Capabilities (DCs) view in the context of closed-loop supply chains (CLSC), this study explores how firms can continuously learn from product returns information.

This study adopts a qualitative Delphi study-inspired approach. Experts from industry and academia are interviewed in two interview rounds. First round of interviews are based on extant research, while the second round allows the experts to elaborate and correct the results.

This study culminates into a conceptual model for incremental learning from product returns information. The results indicate incremental learning from product returns can potentially lead to a competitive advantage. Additionally, the authors identify the sources of information, capabilities along with their microfoundations and the manifestations of product return information. Three propositions are formulated embedding the findings in DC theory.

This study supports extant literature in confirming the value of product returns information and opens concrete avenues for research by providing several propositions.

This research elucidates the practices, processes and resources required for firms to utilize product returns information for continuous strategic adaptation. Practitioners can use these results while implementing continuous learning practices in their organizations.

This study presents the first systematic framework for incremental learning from product returns information. The authors apply the DC framework to a new functional domain, namely CLSC management and product returns management. Furthermore, the authors offer a concrete example of how organizational learning and DC intersect, thus advancing DC theoretical knowledge.

Unobtrusive measurement methodologies are critical to implementing intelligent tutoring systems (ITS) for teams. Such methodologies allow for continuous measurement of team states and processes while avoiding disruption of mission or training performance, and do not rely on post hoc feedback (including for the aggregation of data into measures or to develop insights from these real-time metrics). This chapter summarizes advances in unobtrusive measurement developed within Army research programs to illustrate the variety and potential that unobtrusive measurement approaches can provide for building ITS for teams. Challenges regarding the real-time aggregation of data and applications to current and future ITS for teams are also discussed.

The purpose of this paper is to describe a multi‐robot solution to the problem of chemical source localization, in which a team of inexpensive, simple vehicles with short‐range, low‐power sensing, communication, and processing capabilities trace a chemical plume to its source emitter

The source localization problem is analyzed using computational fluid dynamics simulations of airborne chemical plumes. The analysis is divided into two parts consisting of two large experiments each: the first part focuses on the issues of collaborative control, and the second part demonstrates how task performance is affected by the number of collaborating robots. Each experiment tests a key aspect of the problem, e.g. effects of obstacles, and defines performance metrics that help capture important characteristics of each solution.

The new empirical simulations confirmed previous theoretical predictions: a physics‐based approach is more effective than the biologically inspired methods in meeting the objectives of the plume‐tracing mission. This gain in performance is consistent across a variety of plume and environmental conditions. This work shows that high success rate can be achieved by robots using strictly local information and a fully decentralized, fault‐tolerant, and reactive control algorithm.

This is the first paper to compare a physics‐based approach against the leading alternatives for chemical plume tracing under a wide variety of fluid conditions and performance metrics. This is also the first presentation of the algorithms showing the specific mechanisms employed to achieve superior performance, including the underlying fluid and other physics principles and their numerical implementation, and the mechanisms that allow the practitioner to duplicate the outstanding performance of this approach under conditions of many robots navigating through obstacle‐dense environments.

This study empirically investigates how the COVID-infodemic manifests differently in different languages and in different countries. This paper focuses on the topical and temporal features of misinformation related to COVID-19 in five countries.

COVID-related misinformation was retrieved from 4,487 fact-checked articles. A novel approach to conducting cross-lingual topic extraction was applied. The rectr algorithm, empowered by aligned word-embedding, was utilised. To examine how the COVID-infodemic interplays with the pandemic, a time series analysis was used to construct and compare their temporal development.

The cross-lingual topic model findings reveal the topical characteristics of each country. On an aggregated level, health misinformation represents only a small portion of the COVID-infodemic. The time series results indicate that, for most countries, the infodemic curve fluctuates with the epidemic curve. In this study, this form of infodemic is referred to as “point-source infodemic”. The second type of infodemic is continuous infodemic, which is seen in India and the United States (US). In those two countries, the infodemic is predominantly caused by political misinformation; its temporal distribution appears to be largely unrelated to the epidemic development.

Despite the growing attention given to misinformation research, existing scholarship is dominated by single-country or mono-lingual research. This study takes a cross-national and cross-lingual comparative approach to investigate the problem of online misinformation. This paper demonstrates how the technological barrier of cross-lingual topic analysis can be overcome with aligned word-embedding algorithms.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0417

The purpose of this study is to examine how corporate communication of their social programs on their websites affects the ratings of those programs by independent rating agencies. Firms expend resources on corporate social programs (CSPs) to promote their corporate social responsibility and sustainability credentials. Stakeholders, however, often respond to such “self-promotion” with skepticism because they believe that there are inconsistencies between corporate claims and actions. This research draws on attribution theory as a framework to examine how the perceived CSP performance of firms by uncontrollable sources are affected when firms disseminate CSP information on firm websites, i.e. a controllable source, where their claims may not be verifiable.

This study uses a two-step, mixed method study for the analysis using data from Fortune 500 companies. A qualitative content analysis process identifies the interfaces of CSP and their communications on firms’ website. The process allows the authors to collect CSP data systematically from firm websites and to identify relevant variables through the patterns that emerge from the analysis. The findings are used in a quantitative analysis to study how the patterns underlying CSP communication on their websites affect the ratings of firms’ CSP by independent rating agencies.

Results show that the location, the manner, the content and the scope of CSP information dissemination on firm websites, as well as perceived commitment to CSP identified on the website are important drivers of perceived CSP performance. A robustness check using an alternative independent rating of CSP also provides results that are supportive of the findings. In addition, the effects are found to differ by sector of operation, firm age and profitability.

This research suggests that communication of CSPs at controllable sources of firm information dissemination can have a significant effect on the evaluation of CSP at uncontrollable sources when such communication facilitates the assessment of other information from a firm to determine the motive underlying a firm’s CSP.

The findings show that firms and managers can influence the perceived ratings, rankings or scores of their CSP by stakeholders when they put the right information at the right place on their corporate websites. One of the findings shows that even moderate levels of CSP commitment demonstrated on firm websites result in positive perceptions of CSP, which has marked practical implications.

The findings show that integrating even a medium level of commitment to CSP increases the positive perceptions of a firm’s CSP. Thus, society benefits from the firm’s action without a substantial impact on the firm’s profits.

This research shows that firm-controlled sources of CSP information dissemination to stakeholders can affect uncontrollable sources of CSP information evaluation.