Victor Chang, Stéphane Gagnon, Raul Valverde and Muthu Ramachandran
Zsolt Tibor Kosztyán, Tibor Csizmadia, Zoltán Kovács and István Mihálcz
The purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk…
Abstract
Purpose
The purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.
Design/methodology/approach
A real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.
Findings
The essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.
Originality/value
Increasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.
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Ganesh Kannan, Arockiam Kulandai and Murali Ramachandran
Nurse turnover is perceived to be a major challenge for health-care administrators. The turnover is because of various factors like poor working conditions, low salaries, poor…
Abstract
Purpose
Nurse turnover is perceived to be a major challenge for health-care administrators. The turnover is because of various factors like poor working conditions, low salaries, poor work–life balance and international opportunities. The purpose of conducting a bibliometric analysis on “Nurses’ Talent Retention” is to comprehensively analyze the trends, patterns and research contributions related to this area. By synthesizing and analyzing the existing literature, this study aims to identify key areas for nurse retention, thereby providing a foundation for further research, practical interventions and policy implications.
Design/methodology/approach
This research investigates talent retention practices in nursing from 1989 to 2023 by analyzing 427 documents from 213 sources sourced through Elsevier Scopus. Using the PRISMA framework, the study uses bibliometric analysis using the R studio’s biblometrix package. Key findings reveal a growing scholarly interest with an annual growth rate of 11.46%, an average document age of 7.93 years and an average citation rate of 43.26. Notably, international collaboration represents 17.56% of co-authorships, indicating the global relevance of the research. The study addresses three main research questions, including factors contributing to nurse retention in the Indian context, and implications for nurse well-being and turnover rates across different health-care contexts and countries.
Findings
The bibliometric analysis of nurse retention highlights several key findings. Magnet hospitals, accredited by the ANCC, demonstrate superior work environments, staffing levels and nurse outcomes, emphasizing the significance of nursing leadership and professionalism. The factors such as resilience, influenced by perceived competence, collaboration and coping strategies, highlight the importance of addressing psychological well-being in retention efforts. Transformational leadership and supportive work environments are associated with increased intentions for nurses to remain in their roles, suggesting the need for organizational practices fostering positive workplace cultures. Diversity management initiatives promoting inclusivity correlate with positive organizational outcomes, indicating the potential for diverse and inclusive workplaces to enhance nurse retention.
Practical implications
These findings provide substantial implications for health-care organizations and policymakers. Investing in nursing leadership and nurturing supportive work environments can enhance nurse satisfaction and retention. Implementing diversity management in recruitment practices can create inclusive workplaces, positively impacting nurse retention and organizational outcomes. Mandating staffing ratios may also improve nurse retention and patient care quality. Understanding the economic and organizational costs associated with nurse turnover emphasizes the need for effective retention strategies and healthy work environments.
Originality/value
This study contributes to the understanding of nurse retention dynamics by synthesizing findings from the literature. By highlighting the importance of nursing leadership, resilience and diversity management, it provides valuable insights for future research and practice in the field. The study also emphasizes the economic and organizational costs of nurse turnover, enhancing the urgency of implementing effective retention strategies.
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George Cheney, Matt Noyes, Emi Do, Marcelo Vieta, Joseba Azkarraga and Charlie Michel
Djan Magalhaes Castro and Fernando Silv Parreiras
Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This…
Abstract
Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.
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Auxane Boch and Bethany Rhea Thomas
Social robotics is a rapidly growing application of artificial intelligence (AI) in society, encompassing an expanding range of applications. This paper aims to contribute to the…
Abstract
Purpose
Social robotics is a rapidly growing application of artificial intelligence (AI) in society, encompassing an expanding range of applications. This paper aims to contribute to the ongoing integration of psychology into social robotics ethics by reviewing current theories and empirical findings related to human–robot interaction (HRI) and addressing critical points of contention within the ethics discourse.
Design/methodology/approach
The authors will explore the factors influencing the acceptance of social robots, explore the development of relationships between humans and robots and delve into three prominent controversies: deception, dehumanisation and violence.
Findings
The authors first propose design factors allowing for a positive interaction with the robot, and further discuss precise dimensions to evaluate when designing a social robot to ensure ethical design technology, building on the four ethical principles for trustworthy AI. The final section of this paper will outline and offer explicit recommendations for future research endeavours.
Originality/value
This paper provides originality and value to the field of social robotics ethics by integrating psychology into the ethical discourse and offering a comprehensive understanding of HRI. It introduces three ethical dimensions and provides recommendations for implementing them, contributing to the development of ethical design in social robots and trustworthy AI.
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Michael Sony, Jiju Antony and Olivia McDermott
The pandemic has reinforced the need for revamping the healthcare service delivery systems around the world to meet the increased challenges of modern-day illnesses. The use of…
Abstract
Purpose
The pandemic has reinforced the need for revamping the healthcare service delivery systems around the world to meet the increased challenges of modern-day illnesses. The use of medical cyber–physical system (MCPS) in the healthcare is one of the means of transforming the landscape of the traditional healthcare service delivery system. The purpose of this study is to critically examine the impact of MCPS on the quality of healthcare service delivery.
Design/methodology/approach
This paper uses an evidence-based approach, the authors have conducted a systematic literature review to study the impact of MCPS on healthcare service delivery. Fifty-four articles were thematically examined to study the impact of MCPS on eight characteristics of the healthcare service delivery proposed by the world health organisation.
Findings
The study proposes support that MCPS will positively impact (1) comprehensiveness, (2) accessibility, (3) coverage, (4) continuity, (5) quality, (6) person-centredness, (7) coordination, (8) accountability and (9) efficiency dimension of the healthcare service delivery. The study further draws nine propositions to support the impact of MCPS on the healthcare service delivery.
Practical implications
This study can be used by stakeholders as a guide point while using MCPS in healthcare service delivery systems. Besides, healthcare managers can use this study to understand the performance of their healthcare system. This study can further be used for designing effective strategies for deploying MCPS to be effective and efficient in each of the dimensions of healthcare service delivery.
Originality/value
The previous studies have focussed on technology aspects of MCPS and none of them critically analysed the impact on healthcare service delivery. This is the first literature review carried out to understand the impact of MCPS on the nine dimensions of healthcare service delivery proposed by WHO. This study provides improved thematic awareness of the resulting body of knowledge, allowing the field of MCPS and healthcare service delivery to progress in a more informed and multidisciplinary manner.
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Pham Dinh Long, Bui Quang Hien and Pham Thi Bich Ngoc
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Abstract
Purpose
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Design/methodology/approach
Using cointegration techniques with fixed coefficient and time-varying coefficient, the study exams the impacts of inflation in models and compares the results through coefficient estimates.
Findings
A significant inflation impacts are found with the time-varying cointegration but not with the fixed coefficient cointegration models. Moreover, monetary policy affects exchange rate not only directly via its instruments as money supply and interest rate but indirectly via inflation. Also, interest rate is one of the determinants of gold price.
Originality/value
To the best of our knowledge, this paper is the first to use time-varying cointegration to analyze the impact of inflation on the gold price and exchange rate in Vietnam. Gold price and exchange rate fluctuations are always the essential and striking issues, which have been emphasized by economists and policymakers. In macroeconometric researches, cointegration models are often used to analyze the long-term relations between variables. Attentionally, applied models show a limitation when estimating coefficients are fixed. This characteristic might not really match with the data properties and the variation of the economy. Currently, time-varying cointegration models are emerging method to solve the above issue.