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The purpose of this study is to get the perspectives of human resource development (HRD) scholars about connections among HRD, corporate social responsibility and ethics. The authors also sought to discover if HRD academic programs need to have ethics-related courses for their graduate students.

In this paper, the authors reviewed the literature and interviewed ten HRD scholars who substantially contributed to the field of HRD and have influential publications related to ethics or corporate social responsibility to find out the relationship between HRD, ethics and corporate social responsibility. A semi-structured interview method was adopted to collect data and purposeful sampling technique was used for analyzing data into identified themes.

The results from the interviews were categorized into seven different themes. While some scholars argued that ethics-related discussion needs to be integrated within every course, most scholars stated that ethics can be a required standalone course for HRD graduate programs.

Despite ongoing consideration of the ethical nature of HRD, little research has been conducted on how ethics and corporate social responsibility are represented in the field of study and practice. To the best of the authors’ knowledge, this study is the first empirical paper in HRD that collected and analyzed experts’ perspectives in this topic.

This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.

This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.

The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.

Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.

Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.

The purpose of this paper is twofold: first, to point out the importance of having an ethics-related course for human resource development (HRD) graduate programs; and second, to highlight HRD potential to minimize ethical misconducts through an ethical filter in organizations.

This paper is conceptual in nature. The authors used their own experiences in HRD programs, looked at HRD graduate programs’ curricula in different universities and reviewed literature on ethics and HRD to develop a conceptual model. The model is to guide future studies and identify the role of HRD practices to create an ethical climate in organizations.

In this paper, the authors illustrate the connection between HRD practices and ethical climate in organizations by providing a conceptual framework. In the concluding paragraphs, the authors provide a discussion, implications and recommendations for future studies.

The authors highlight the limited research conducted on how ethics and ethical dilemmas need to be represented in HRD practitioners’ activities and practices. Many graduate-level HRD students do not receive enough training on ethics, whereas it is their responsibility to help improve organizational ethical climate and educate and prepare human resources to minimize ethical misconducts and wrongdoings. The paper provides a framework for HRD practitioners to create a strong ethical climate in their organizations.

Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provides promising image enhancement results. However, they generally require a longer execution time to complete the enhancement. This study aims to develop a refined image enhancement approach to improve execution efficiency and performance accuracy.

To develop the refined illumination enhancement algorithm named enhanced illumination quality (EIQ), a quadratic expression was first added to the initial illumination map. Subsequently, an adjusted weight matrix was added to improve the smoothness of the illumination map. A coordinated descent optimization algorithm was then applied to minimize the processing time. Gamma correction was also applied to further enhance the illumination map. Finally, a frame comparing and averaging method was used to identify interior site progress.

The proposed refined approach took around 4.36–4.52 s to achieve the expected results while outperforming the current low-light image enhancement method. EIQ demonstrated a lower lightness-order error and provided higher object resolution in enhanced images. EIQ also has a higher structural similarity index and peak-signal-to-noise ratio, which indicated better image reconstruction performance.

The proposed approach provides an alternative to shorten the execution time, improve equalization of the illumination map and provide a better image reconstruction. The approach could be applied to low-light video enhancement tasks and other dark or poor jobsite images for object detection processes.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

In workplaces there can be lots of grey areas, which is why ethical guidelines are useful.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Measuring onsite productivity has been a substance of debate in the construction industry, mainly due to concerns about accuracy, repeatability and unbiasedness. Such characteristics are central to demonstrate construction speed that can be achieved through adopting new prefabricated systems. Existing productivity measurement methods, however, cannot cost-effectively provide solid and replicable evidence of prefabrication benefits. This research proposes a low-cost automated method for measuring onsite installation productivity of prefabricated systems.

Firstly, the captured ultra-wide footages are undistorted by extracting the curvature contours and performing a developed meta-heuristic algorithm to straighten these contours. Then a preprocessing algorithm is developed that could automatically detect and remove the noises caused by vibrations and movements. Because this study aims to accurately measure the productivity the noise free images are double checked in a specific time window to make sure that even a tiny error, which have not been detected in the previous steps, will not been amplified through the process. In the next step, the existing side view provided by the camera is converted to a top view by using a spatial transformation method. Finally, the processed images are compared with the site drawings in order to detect the construction process over time and report the measured productivity.

The developed algorithms perform nearly real-time productivity computations through exact matching of actual installation process and digital design layout. The accuracy and noninterpretive use of the proposed method is demonstrated in construction of a multistorey cross-laminated timber building.

This study uses footages of an already installed surveillance camera where the camera's features are unknown and then image processing algorithms are deployed to retrieve accurate installation quantities and cycle times. The algorithms are almost generalized and versatile to be adjusted to measure installation productivity of other prefabricated building systems.

This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.

The on-going COVID-19 pandemic has drastically impacted healthcare systems worldwide. Understanding the perspectives and insights of frontline healthcare workers caring for and interacting with patients with COVID-19 represents a timely, topical, and important area of research. The purpose of this qualitative action research study was to assist one US healthcare system that has an expansive footprint with the implementation of a needs assessment among its frontline healthcare workers. The leadership within this healthcare system wanted to obtain a deeper understanding of how the COVID-19 pandemic was impacting the personal and professional lives of its workers. Further, the organisation wanted to solicit employees’ feedback about what they needed, understand the issues they were facing, and solicit their ideas to help the organisation know where to take action.

This qualitative research employed 45 focus groups, referred to as virtual listening calls (LCs) in this organisation, which were held over a four-week period. A total of 241 nursing staff, representing healthcare facilities across the country, attended 26 of the LCs. A total of 19 LCs were held with 116 healthcare workers who are employed in other clinical roles (e.g. therapists) or administrative functions.

Extending beyond the available research at the time, this study was initiated from within a US healthcare system and informed by the frontline healthcare employees who participated in the LCs, the findings of this study include the perspectives of both nursing and other healthcare workers, the latter of which have not received considerable attention. The findings underscore that the COVID-19 pandemic has wreaked havoc on the personal and professional lives of all of these healthcare workers and has exacted an emotional toll as noted in other studies. However, this study also highlights the importance of listening to employees’ concerns, but more importantly, their recommendations for improving their experiences. Notably, the organisation is in the midst of making changes to address these frontline workers’ needs.

The study, inclusive of nursing and other healthcare staff, demonstrates how an organisation can adapt to a crisis by listening and learning from its frontline employees.

With refineries contributing 68% of CO₂ emissions from stationary combustion sources alone, smart technologies and the circular economy (CE) model for resource loop optimization can be a solution for carbon neutrality, especially within petroleum. Thus, this study aims to explore energy conservation by green technology improvement as a CE strategy for resource loop optimization and digital incorporation to maximize reprocessing lead ability rate and carbon-neutral benefits.

A game theory approach with Stackelberg equilibrium is considered under government cap-and-trade regulation to stimulate green technology improvement. The refinery acts as a Stackelberg leader and invests in green technology and the retailer as the Stackelberg follower, collects end-of-life lubricants against refund price and offers a two-part-tariff contract to the manufacturer having a significant role in smart technologies.

First, green technology improvement is directly influenced by the reprocessing capability and refund price and digital technologies are significant to consider. Second, a two-part-tariff contract coordinates the supply chain for limited reprocessing capability by the retailer. Lastly, the government can effectively manipulate the development of green technology by changing the permit price depending on the intentions.

The primary limitation is this study has focused on the petroleum sector and data was referenced from the oil refineries of a single country.

Overall, this study provides empirical guidance for policymakers on how to leverage energy-efficient smart technologies for lubricant reprocessing, enabling resource optimization as part of a CE strategy in the petroleum industry and advancing sustainable development goals.

The suggested model responds to the contemporary literature related to CO₂ emissions and CE initiatives across the petroleum sector with the extended role of smart technologies and government cap-and-trade regulations.

This research examines the interrelationships between market orientation (MO) and entrepreneurial orientation (EO) in the small- and medium-sized enterprise (SME) sector. Due to the conflicting results associated with each orientation's influence on firm performance, some researchers advanced that scholars should resort to concurrent observation of the constructs. To the researchers, concurrent deployment of the constructs by businesses is likely to result in an enhanced performance. However, what is lacking in their proposition is how the deployment of these resources should be, thereby leading to a knowledge gap in the literature. The aforementioned gap is what this paper seeks to address.

The study employed deductive research approach, and data were collected from 366 SMEs' owners or owner-managers of SMEs in two metropoles in Ghana. For this study, the hand delivery and collection of questionnaire technique was deployed. The reason is that most respondents may be reluctant to respond to the questionnaires through the post or Internet. Partial least square-structural equation modelling (PLS-SEM) was employed for the data analysis due to its importance in allowing the testing of relationships among constructs. Furthermore, seven-point Likert scale was used to generate responses from the respondents.

The result indicates that MO and EO have a positive and significant influence on each other. However, the influence of EO on MO is greater. Therefore, when owners of SMEs are embracing the two constructs in their businesses, EO should precede MO. The finding is a novelty of this study. Through this result, the owners of SMEs would have knowledge of embracing EO before MO during the employment of the two constructs in their firms. The study further revealed that not all the components of MO have positive and significant influence on EO, and the reverse is true. Without this study, the owners of SMEs would have placed equal attention on each construct and their components. The study also indicates that deployment of MO in its composite form rather than components is the best way for improving EO.

The more SMEs engage in MO activities, the likelihood of an increase in their entrepreneurial spirit and the opposite is true. However, engaging in more EO activities would result in higher MO than the reverse.

The findings add to the empirical literature by revealing the interrelationships between MO and EO, which serve as a guide to owners of SMEs and practitioners in their concurrent deployment of the two constructs. The findings would also open replication doors for future researchers in different settings.