Search results

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Open Access
Article
Publication date: 26 March 2024

Manuel Rossetti, Juliana Bright, Andrew Freeman, Anna Lee and Anthony Parrish

This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management…

Abstract

Purpose

This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.

Design/methodology/approach

The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.

Findings

Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.

Originality/value

To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.

Details

Journal of Defense Analytics and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2399-6439

Keywords

Article
Publication date: 28 March 2024

Elisa Gonzalez Santacruz, David Romero, Julieta Noguez and Thorsten Wuest

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework…

Abstract

Purpose

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework (IQ4.0F) for quality improvement (QI) based on Six Sigma and machine learning (ML) techniques towards ZDM. The IQ4.0F aims to contribute to the advancement of defect prediction approaches in diverse manufacturing processes. Furthermore, the work enables a comprehensive analysis of process variables influencing product quality with emphasis on the use of supervised and unsupervised ML techniques in Six Sigma’s DMAIC (Define, Measure, Analyze, Improve and Control) cycle stage of “Analyze.”

Design/methodology/approach

The research methodology employed a systematic literature review (SLR) based on PRISMA guidelines to develop the integrated framework, followed by a real industrial case study set in the automotive industry to fulfill the objectives of verifying and validating the proposed IQ4.0F with primary data.

Findings

This research work demonstrates the value of a “stepwise framework” to facilitate a shift from conventional quality management systems (QMSs) to QMSs 4.0. It uses the IDEF0 modeling methodology and Six Sigma’s DMAIC cycle to structure the steps to be followed to adopt the Quality 4.0 paradigm for QI. It also proves the worth of integrating Six Sigma and ML techniques into the “Analyze” stage of the DMAIC cycle for improving defect prediction in manufacturing processes and supporting problem-solving activities for quality managers.

Originality/value

This research paper introduces a first-of-its-kind Quality 4.0 framework – the IQ4.0F. Each step of the IQ4.0F was verified and validated in an original industrial case study set in the automotive industry. It is the first Quality 4.0 framework, according to the SLR conducted, to utilize the principal component analysis technique as a substitute for “Screening Design” in the Design of Experiments phase and K-means clustering technique for multivariable analysis, identifying process parameters that significantly impact product quality. The proposed IQ4.0F not only empowers decision-makers with the knowledge to launch a Quality 4.0 initiative but also provides quality managers with a systematic problem-solving methodology for quality improvement.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Open Access
Article
Publication date: 13 March 2024

Ingela Bäckström, Pernilla Ingelsson, Anna Mårtensson and Kristen M. Snyder

The purpose of this paper is to explore existing and desired methodologies for systematic quality work to promote quality in preschools from the principal’s perspective.

Abstract

Purpose

The purpose of this paper is to explore existing and desired methodologies for systematic quality work to promote quality in preschools from the principal’s perspective.

Design/methodology/approach

A collaborative approach was used in this research project, and principals were asked to complete portfolio assignments. Their answers to those portfolio assignments were analysed by the research team and subsequently compared to total quality management values.

Findings

Existing and desired methodologies for systematic quality work are presented and sorted into 13 and 17 groups, respectively. The principals desire four times more methodologies than they are presently using to promote systematic quality work, and the results show that they must extend their methodologies to support TQM values.

Research limitations/implications

This research is based on answers collected from 18 principals in one municipality in Sweden.

Practical implications

The use of the cornerstone model provides a framework to illustrate the application of TQM in preschools.

Originality/value

Principals struggle to find time for systemic quality work. The presented results can be used to work systematically with quality in preschools and other organizations.

Details

Quality Assurance in Education, vol. 32 no. 2
Type: Research Article
ISSN: 0968-4883

Keywords

Article
Publication date: 6 February 2024

Madison N. Ngafeeson, Yuba R. Gautam and Joseph A. Manga

The COVID-19 global pandemic reframed the argument for the importance of learning management systems (LMS) in unprecedented ways. Meanwhile, LMS users were forced to use these…

Abstract

Purpose

The COVID-19 global pandemic reframed the argument for the importance of learning management systems (LMS) in unprecedented ways. Meanwhile, LMS users were forced to use these technologies despite the heightened anxiety compounded by the pandemic, very little technical preparation and the postpandemic learning environment that cannot depend on these pandemic-imposed regulations and adoptions. This study aims to examine the impacts of behavioral control and anxiety emotions on adoption decisions.

Design/methodology/approach

This quantitative research uses structural equation modeling to test the hypothesized relationships.

Findings

Results showed that perceived behavioral control is very important in boosting ease of use perceptions while computer anxiety exhibited a negative impact on perceived ease of use.

Research limitations/implications

This research used cross-sectional data from a medium-sized university. Results must, therefore, be interpreted with this understanding in mind. Nonetheless, this research demonstrates the critical roles of control and emotions in technology adoption decisions among students in an online learning environment.

Originality/value

This research highlights the importance of behavioral control and anxiety emotions in technology adoption decisions. It reveals that to drive adoption, students’ control perceptions must be increased while simultaneously keeping anxiety emotions at bay. This understanding is key to communicating buy-in of LMS to students.

Details

Journal of Systems and Information Technology, vol. 26 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 12 March 2024

Wei Wu, Chau Le, Yulu Shi and Fadi Alkaraan

Financial flexibility and investment efficiency are of vital importance in strategic choices at boardrooms, particularly in post-crisis recovery strategies. This study examines…

Abstract

Purpose

Financial flexibility and investment efficiency are of vital importance in strategic choices at boardrooms, particularly in post-crisis recovery strategies. This study examines the moderating effects of investment efficiency and investment scale on the relationship between financial flexibility and firm performance.

Design/methodology/approach

The authors use sample of 10,755 US-listed firms over the period 2010–2021 to examine the relationships between investment scale, investment efficiency, financial flexibility and firm performance. Particular attention is paid to overinvestment and underinvestment.

Findings

Findings of this study reveal that financial flexibility mitigates investment inefficiency through reducing overinvestment. Financial flexibility contributes to boost a firm’s accounting and market performance. Additionally, investment efficiency and investment scale have moderating effects on the relationship between financial flexibility and firm performance. However, the influence of investment efficiency is greater than the influence of investment scale. Finally, the authors find that the direct and indirect effects of financial flexibility are stronger on market performance than accounting performance, implying that market is more sensitive to corporate financial policies.

Research limitations/implications

Findings of this study have implications for scholars, decision-makers policymakers, investors and other stakeholders.

Practical implications

This study has its own limitations due to the sample selection issues, country context and the research model adopted by this study.

Originality/value

The novel contribution to the extant literature is incorporating the influence of investment scale and investment efficiency into the relationship between financial flexibility and firm performance.

Details

Journal of Applied Accounting Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0967-5426

Keywords

Article
Publication date: 11 March 2024

Muhammad Asim Faheem, Shabir Ahmad and Hafsa Tayyab

Amidst the stressful work environment in the healthcare sector, employees struggle to maintain prosocial behavior and work reattachment. The potential role of awe and mindfulness…

Abstract

Purpose

Amidst the stressful work environment in the healthcare sector, employees struggle to maintain prosocial behavior and work reattachment. The potential role of awe and mindfulness in addressing these issues remains unexplored. This study investigates how coworker prosocial behavior affects work reattachment while considering the mediating role of mindfulness and the moderating role of awe.

Design/methodology/approach

Using a quantitative research design, data were collected through a survey questionnaire from 356 healthcare professionals in Pakistan. The data were analyzed in SPSS and AMOS for reliability and validity statistics, as well as for hypothesis testing.

Findings

The findings revealed a significant link between coworker prosocial behavior and work reattachment. Mindfulness acted as a mediator between coworker prosocial behavior and work reattachment, while awe had a positive moderating effect on these relationships.

Practical implications

The findings emphasize the need for fostering these elements to manage stress, support employees and improve work reattachment.

Originality/value

The existing literature lacks empirical evidence regarding the impact of coworker prosocial behavior on employee outcomes, and this study contributes by examining the roles of awe and mindfulness in the healthcare sector.

Details

Evidence-based HRM: a Global Forum for Empirical Scholarship, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-3983

Keywords

Article
Publication date: 30 November 2023

Florencia Kalemkerian, Rossella Pozzi, Martin Tanco, Alessandro Creazza and Javier Santos

The purpose of this study is to propose a new mapping tool called Circular Value Stream Mapping (C-VSM) that combines Circular Economy principles with Lean tools to enhance…

Abstract

Purpose

The purpose of this study is to propose a new mapping tool called Circular Value Stream Mapping (C-VSM) that combines Circular Economy principles with Lean tools to enhance sustainability performance in operations.

Design/methodology/approach

To develop the C-VSM tool, the researchers conducted a literature review and a focus group. The tool was then applied to two real case studies in the agri-food sector, specifically analyzing an artichoke and olive oil producer, to assess its validity and effectiveness.

Findings

The study introduces the Circular Resource Box (CRB) as a key innovation in the C-VSM tool. This visual representation effectively captures resource circularity and how resources and wastes are managed, making it easy to identify circularity in the production process. By combining qualitative and quantitative information with this visual representation, companies can identify improvement opportunities aligned with the CE.

Research limitations/implications

The research is limited in scope as it focuses on the application of the C-VSM tool in the agri-food sector. Further research could explore its applicability in other industries and settings to understand its broader impact.

Practical implications

The C-VSM tool provides practical benefits to companies seeking to transition from linear to circular production processes. It enables practitioners to identify opportunities to reduce environmental impacts and optimize production operations in line with CE.

Originality/value

The introduction of the C-VSM tool is a novel approach that bridges the gap between Lean Manufacturing and CE concepts, advancing the understanding of how CE thinking can be effectively implemented in operations.

Details

Management of Environmental Quality: An International Journal, vol. 35 no. 3
Type: Research Article
ISSN: 1477-7835

Keywords

Open Access
Article
Publication date: 9 November 2023

Abdulmohsen S. Almohsen, Naif M. Alsanabani, Abdullah M. Alsugair and Khalid S. Al-Gahtani

The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the…

Abstract

Purpose

The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the quality of the owner's estimation for predicting precisely the contract cost at the pre-tendering phase and avoiding future issues that arise through the construction phase.

Design/methodology/approach

This paper integrated artificial neural networks (ANN), deep neural networks (DNN) and time series (TS) techniques to estimate the ratio of a low bid to the OEC (R) for different size contracts and three types of contracts (building, electric and mechanic) accurately based on 94 contracts from King Saud University. The ANN and DNN models were evaluated using mean absolute percentage error (MAPE), mean sum square error (MSSE) and root mean sums square error (RMSSE).

Findings

The main finding is that the ANN provides high accuracy with MAPE, MSSE and RMSSE a 2.94%, 0.0015 and 0.039, respectively. The DNN's precision was high, with an RMSSE of 0.15 on average.

Practical implications

The owner and consultant are expected to use the study's findings to create more accuracy of the owner's estimate and decrease the difference between the owner's estimate and the lowest submitted offer for better decision-making.

Originality/value

This study fills the knowledge gap by developing an ANN model to handle missing TS data and forecasting the difference between a low bid and an OEC at the pre-tendering phase.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 13
Type: Research Article
ISSN: 0969-9988

Keywords

Abstract

Details

The Online Healthcare Community
Type: Book
ISBN: 978-1-83549-141-6

Article
Publication date: 30 November 2023

Elisa Roncagliolo

This study aims to contribute to the debate on goodwill accounting by examining the information content of impairment losses recognized in half-yearly reports. Half-yearly reports…

Abstract

Purpose

This study aims to contribute to the debate on goodwill accounting by examining the information content of impairment losses recognized in half-yearly reports. Half-yearly reports provide a suitable context to examine the effectiveness of the impairment process. Due to IFRIC 10 requirements, indeed, managers may have incentives to avoid recognizing impairment losses at the interim reporting date.

Design/methodology/approach

The study adopts an archival approach. Based on the traditional Ohlson’s model (1995), it explores the information content of half-yearly impairment losses in the European context over the period 2007–2017.

Findings

Findings confirm the relevance of half-yearly reports and suggest that half-yearly impairment losses are significantly associated with stock prices. In particular, investors positively value companies that recognized goodwill impairment losses at the interim reporting date.

Research limitations/implications

The study contributes to the academic debate on goodwill and the effectiveness of the impairment procedure. In particular, it provides empirical evidence on the recognition of goodwill write-offs when it is possible to avoid the impairment test in the absence of indications of impairment.

Practical implications

Findings of this study can support the current debate on accounting for goodwill also in the light of the recent proposals of the IASB on the need to improve the effectiveness of the impairment test.

Originality/value

This study provides original empirical evidence on the goodwill impairment test in half-yearly reports, extending previous research that typically examines this issue in annual reports.

Details

International Journal of Accounting & Information Management, vol. 32 no. 2
Type: Research Article
ISSN: 1834-7649

Keywords

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