Search results

1 – 4 of 4
Article
Publication date: 27 March 2024

Cyntia Meireles Martins, Susana Carla Farias Pereira, Marcia Regina Santiago Scarpin, Maciel M. Queiroz and Mariana da Silva Cavalcante

This research analyses the impact of customers and government regulations on the implementation of socio-environmental practices in certifying organic agricultural products. It…

Abstract

Purpose

This research analyses the impact of customers and government regulations on the implementation of socio-environmental practices in certifying organic agricultural products. It explores the dyad’s relationship between the focal company and its suppliers in the application of socio-environmental practices.

Design/methodology/approach

This study uses a quantitative methodology through a survey approach, with a sample of 206 agro-extractivists from the acai berry supply chain. The data are evaluated using regression analysis.

Findings

The main results reveal that customer pressure positively influences the implementation of social and environmental practices, but suggest a non-significant relationship between government regulations and the impact on environmental practices implementation. Social and environmental practices are positively related to operational performance. A moderating effect of organic certification is found in the relationship between customer pressure and the application of environmental practices.

Originality/value

The main contributions are exploring the use of socio-environmental practices in an emerging economy and organic certification as a moderating variable, revealing an “institutional void” that may hamper the enforcement of government regulations.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Open Access
Article
Publication date: 14 June 2023

Carla Freire and Adriano Azevedo

In recent decades, human resource management (HRM) in health organizations has faced several problems associated with employees' efficiency and happiness, which has been…

1369

Abstract

Purpose

In recent decades, human resource management (HRM) in health organizations has faced several problems associated with employees' efficiency and happiness, which has been particularly exacerbated after the pandemic crisis. In this scenario, this study seeks to analyze nurses' turnover intention by comparing Portuguese public and private healthcare organizations. As determining factors, transformational leadership, perceived organizational support and organizational commitment were considered.

Design/methodology/approach

A survey was digitally applied to 277 nurses from Portuguese public and private healthcare organizations.

Findings

Results suggested that there are differences in nurses' turnover intentions: there is a greater likelihood of nurses in the private sector planning to leave the healthcare organizations the nurses work for when compared to public hospital nurses. Furthermore, nurses in public hospitals perceive lower levels of transformational leadership, organizational support and organizational commitment than those in the private sector. The underlying cause as to the intention of leaving the public sector resides in normative commitment. On the other hand, lower affective commitment explains the intention to abandon the private sector.

Practical implications

This study is relevant for human resource managers and administrators in public and private hospitals since it enables a diagnosis of the situation, as well as a definition of the most appropriate policies for each of the sectors as a strategy to attract and retain health professionals.

Originality/value

This study is significant as the study provides a better understanding of the reasons which lead nurses to consider leaving the organization where the nurses work and the difference between nursing professionals in public and private hospitals.

Details

Journal of Organizational Effectiveness: People and Performance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2051-6614

Keywords

Article
Publication date: 19 March 2024

Kristy Padron and Sarah M. Paige

Many librarians are asked questions about copyright and intellectual property. They may be expected to advise on copyright or provide copyright education as part of their duties…

Abstract

Purpose

Many librarians are asked questions about copyright and intellectual property. They may be expected to advise on copyright or provide copyright education as part of their duties. Others may be “voluntold” to take on copyright, which may come as an unexpected addition to their workload. This case study provides suggestions for librarians to increase their copyright knowledge and create copyright education programs.

Design/methodology/approach

This case study showcases two copyright education programs created by a librarian in a college and another in a university. The librarians collaborated to learn more about the state of copyright education within academic libraries and explore their commonalities and differences. This case study introduces two copyright education programs and summarizes the state of copyright education within library and information science (LIS) and academic libraries.

Findings

The following themes within the two copyright education programs were identified through a case study: the complexity of copyright, the engagement (or lack thereof) across a college or university, the necessity of including copyright in information literacy instruction and the calls for professional development with copyright.

Research limitations/implications

This case study covers two differing institutions so its conclusions may not be applicable to all libraries or educational settings.

Practical implications

Many individuals who are in disciplines or occupations that regularly work with copyright may generate ideas for creating and providing continuing education within their organizations.

Originality/value

Library or education professionals can use the case study’s conclusions to inform and support their ongoing work with teaching and learning about copyright and intellectual property. By doing so, they can better support their students, faculty and institutions.

Details

Reference Services Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0090-7324

Keywords

Article
Publication date: 6 June 2024

Zhiwei Zhang, Saasha Nair, Zhe Liu, Yanzi Miao and Xiaoping Ma

This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and…

Abstract

Purpose

This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

Design/methodology/approach

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Findings

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

Originality/value

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

Details

Robotic Intelligence and Automation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2754-6969

Keywords

1 – 4 of 4