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Available. Open Access. Open Access
Article
Publication date: 19 November 2024

Guodong Sa, Zhengyang Jiang, Jiacheng Sun, Chan Qiu, Zhenyu Liu and Jianrong Tan

Real-time monitoring of the critical physical fields of core components in complex equipment is of great significance as it can predict potential failures, provide reasonable…

79

Abstract

Purpose

Real-time monitoring of the critical physical fields of core components in complex equipment is of great significance as it can predict potential failures, provide reasonable preventive maintenance strategies and thereby ensure the service performance of the equipment. This research aims to propose a hierarchical explicit–implicit combined sensing-based real-time monitoring method to achieve the sensing of critical physical field information of core components in complex equipment.

Design/methodology/approach

Sensor deployable and non-deployable areas are divided based on the dynamic and static constraints in actual service. An integrated method of measurement point layout and performance evaluation is used to optimize sensor placement, and an association mapping between information in non-deployable and deployable areas is established, achieving hierarchical explicit–implicit combined sensing of key sensor information for core components. Finally, the critical physical fields of core components are reconstructed and visualized.

Findings

The proposed method is applied to the spindle system of CNC machine tools, and the result shows that this method can effectively monitor the spindle system temperature field.

Originality/value

This research provides an effective method for monitoring the service performance of complex equipment, especially considering the dynamic and static constraints during the service process and detecting critical information in non-deployable areas.

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 5 no. 3
Type: Research Article
ISSN: 2633-6596

Keywords

Available. Open Access. Open Access
Article
Publication date: 21 February 2022

Anne Bowers, Joshua Wu, Stuart Lustig and Douglas Nemecek

Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data…

10348

Abstract

Purpose

Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data reported by adults employed in the United States (n = 5,927) to explore how loneliness and other related factors may influence avoidable absenteeism and turnover intention.

Design/methodology/approach

Worker loneliness was assessed using the UCLA Loneliness Scale (Version 3). Composite variables were constructed as proxy measures of worker job and personal resources. Structural equation modeling (SEM) was used to examine independent variable effects on dependent outcomes of (a) work days missed in the last month due to stress (stress-related absenteeism) and (b) likelihood to quit within the next year (turnover intention).

Findings

The job resources of social companionship, work-life balance and satisfaction with communication had significant negative relationships to loneliness in the SEM, as did the personal resources of resilience and less perceived alienation. Results further show lonely workers have significantly greater stress-related absenteeism (p = 0.000) and higher turnover intention ratings (p = 0.000) compared to workers who are not lonely. Respondent demographics (age, race and gender) and other occupational characteristics also produced significant outcomes.

Practical implications

Study findings underscore the importance of proactively addressing loneliness among workers and facilitating job and personal resource development as an employee engagement and retention strategy.

Originality/value

Loneliness substantially contributes to worker job withdrawal and has negative implications for organizational effectiveness and costs.

Details

Journal of Organizational Effectiveness: People and Performance, vol. 9 no. 2
Type: Research Article
ISSN: 2051-6614

Keywords

Available. Open Access. Open Access
Article
Publication date: 4 July 2024

Bart Lameijer, Elizabeth S.L. de Vries, Jiju Antony, Jose Arturo Garza-Reyes and Michael Sony

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically…

1309

Abstract

Purpose

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.

Design/methodology/approach

An interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.

Findings

Key findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.

Originality/value

This study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

Details

Business Process Management Journal, vol. 30 no. 8
Type: Research Article
ISSN: 1463-7154

Keywords

Available. Open Access. Open Access
Article
Publication date: 8 December 2020

Jung Woo Han

The article is to review recent literature studies of employee turnover to identify antecedents of employee turnover in the hospitality sector to reduce the literature gaps and…

21511

Abstract

Purpose

The article is to review recent literature studies of employee turnover to identify antecedents of employee turnover in the hospitality sector to reduce the literature gaps and present a wider scope of turnover factor and understanding of employee motivational factors in their job decision.

Design/methodology/approach

The recent literature studies published over the last two decades were reviewed and structured into the three levels of employee turnover factors, including individual, team and organizational level.

Findings

The antecedents on organizational levels were frequently studied and suggested as strong predictors to employee turnover in the hospitality sectors. The team and organizational factors also influence employee turnover, yet the factors on the team level may not have a significant direct impact but rather an indirect impact through the organizational or individual level. The factors of the individual level may not explain the fundamental reasons behind the turnover. Yet, it might be a more reliable predictor of employee turnover as factors on the other levels are often mediated by individual factors.

Originality/value

The article contributes to the knowledge base by articulating a wide range of updated employee turnover factors in the hospitality that brings an updated insight into employee motivational factors in the hospitality sector.

Details

International Hospitality Review, vol. 36 no. 1
Type: Research Article
ISSN: 2516-8142

Keywords

Available. Open Access. Open Access
Article
Publication date: 29 May 2023

Jane Lu Hsu and Pankaj Sharma

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their…

5669

Abstract

Purpose

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

Design/methodology/approach

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Findings

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Originality/value

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.

Details

International Journal of Climate Change Strategies and Management, vol. 15 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Available. Content available
Book part
Publication date: 2 July 2018

Yujie Chen, Zhifei Mao and Jack Linchuan Qiu

Abstract

Details

Super-Sticky Wechat and Chinese Society
Type: Book
ISBN: 978-1-78743-091-4

Available. Content available
Book part
Publication date: 2 July 2018

Yujie Chen, Zhifei Mao and Jack Linchuan Qiu

Abstract

Details

Super-Sticky Wechat and Chinese Society
Type: Book
ISBN: 978-1-78743-091-4

Available. Content available
Book part
Publication date: 12 October 2018

Abstract

Details

Quality Services and Experiences in Hospitality and Tourism
Type: Book
ISBN: 978-1-78756-384-1

Available. Open Access. Open Access
Article
Publication date: 20 April 2020

Salima Hamouche

Background: This paper examines the impact of coronavirus COVID-19 outbreak on employees’ mental health, specifically psychological distress and depression. It aims at identifying…

5923

Abstract

Background: This paper examines the impact of coronavirus COVID-19 outbreak on employees’ mental health, specifically psychological distress and depression. It aims at identifying the main stressors during and post COVID-19, examining the main moderating factors which may mitigate or aggravate the impact of COVID-19 on employees’ mental health and finally to suggest recommendations from a human resource management perspective to mitigate COVID-19’s impact on employees’ mental health.

Methods: This paper is a literature review. The search for articles was made in Google scholar, Web of Science and Semantic scholar. We used a combination of terms related to coronavirus OR COVID-19, workplace and mental health. Due to the paucity of studies on the COVID-19 impact on employees’ mental health, we had to draw on studies on recent epidemics.

Results: The identified literature reports a negative impact of COVID-19 on individual’s mental health. Stressors include perception of safety, threat and risk of contagion, infobesity versus the unknown, quarantine and confinement, stigma and social exclusion as well as financial loss and job insecurity. Furthermore, three dimensions of moderating factors have been identified: organizational, institutional and individual factors. In addition, a list of recommendations has been presented to mitigate the impact of COVID-19 on the employee’s mental health, during and after the outbreak, from a human resource management perspective.

Conclusions: Coronavirus is new and is in a rapid progress while writing this paper. Most of current research are biomedical focusing on individuals’ physical health. In this context, mental health issues seem overlooked. This paper helps to broaden the scope of research on workplace mental health, by examining the impact of a complex new pandemic: COVID-19 on employees’ mental health, from social sciences perceptive, mobilizing psychology and human resource management.

Details

Emerald Open Research, vol. 1 no. 2
Type: Research Article
ISSN: 2631-3952

Keywords

Available. Content available
Book part
Publication date: 2 April 2021

Shuhan Chen and Peter Lunt

Free Access. Free Access

Abstract

Details

Chinese Social Media
Type: Book
ISBN: 978-1-83909-136-0

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