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Article
Publication date: 1 March 2001

Vincent C. Liu and Brian H. Kleiner

Looks at the success of total quality management (TQM) and the principles of completeness. Considers the quality requirements and the performance standards as essential factors…

1339

Abstract

Looks at the success of total quality management (TQM) and the principles of completeness. Considers the quality requirements and the performance standards as essential factors within a total quality plan and states that the adaptation of the theory to the particular industry is key to success. Looks at TQM in the medical and legal profession and suggests that the practice of implementation can be helped or hindered by outside influences such as the state of the business and the culture it possesses.

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Management Research News, vol. 24 no. 3/4
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 1 July 2005

Kamran Ahmed, A. John Goodwin and Kim R. Sawyer

This study examines the value relevance of recognised and disclosed revaluations of land and buildings for a large sample of Australian firms from 1993 through 1997. In contrast…

512

Abstract

This study examines the value relevance of recognised and disclosed revaluations of land and buildings for a large sample of Australian firms from 1993 through 1997. In contrast to prior research, we control for risk and cyclical effects and find no difference between recognised and disclosed revaluations, using yearly‐cross‐sectional and pooled regressions and using both market and non‐market dependent variables. We also find only weak evidence that revaluations of recognised and disclosed land and buildings are value relevant.

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Pacific Accounting Review, vol. 17 no. 2
Type: Research Article
ISSN: 0114-0582

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Available. Content available
Book part
Publication date: 20 June 2017

David Shinar

Free Access. Free Access

Abstract

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Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

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Article
Publication date: 28 October 2024

Natalie M. Scala, Thais da Costa Lago Alves, Dominique Hawkins, Vincent Schiavone and Min Liu

This paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking…

36

Abstract

Purpose

This paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking process introduced by the MMCS fills a gap in the literature by supporting the selection of collaborative scheduling (CS) practices that yield more weight toward the achievement of higher maturity levels in the development and implementation of CS. The ranking process can then be used during pre/post project execution to track collaborative scheduling in practice against the model’s weighting and provide the project team with constructive feedback and actionable steps for reaching the next highest level of collaboration.

Design/methodology/approach

The MMCS, which focuses on five pillars (key areas of interest for CS) and related swim lanes (specific attributes), covers a broad range of areas in the construction industry and was coded into a survey. The relative weights of pillars and swim lanes were then established using the Delphi method with the group of subject matter experts (SMEs), analyzed using multi-objective decision analysis (MODA) and validated using 241 answers to a survey with questions drawn from the MMCS, including organizations across the industry in the United States.

Findings

The project scoring defines bounds for bronze, silver and gold levels of collaboration in scheduling. Project evaluations can then be used to identify areas for continuous improvement and enhanced collaboration. We offer recommendations and best practices for project improvement.

Originality/value

Two original contributions resulted from this work: (1) a method to elicit weights based on a combination of Delphi, MODA and survey methods was used to develop and validate a scale with three different maturity levels to support the use and continuous improvement of CS practices and (2) a validated model was used to assess the maturity level of CS in construction projects alongside specific recommendations to move upward in terms of maturity. In practice, project leaders can use this model to assess project performance, advance the project’s maturity and guide continuous improvement efforts for enhanced collaboration.

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Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 3 February 2022

Natalie M. Scala, Min Liu, Thais da Costa Lago Alves, Vincent Schiavone and Dominique Hawkins

The overall contribution of this work is to provide a usable maturity model for collaborative scheduling (CS) that extends the literature, identifies inconsistencies in schedule…

293

Abstract

Purpose

The overall contribution of this work is to provide a usable maturity model for collaborative scheduling (CS) that extends the literature, identifies inconsistencies in schedule development, and improves collaboration in the construction industry.

Design/methodology/approach

Via subject matter expert elicitation and focus groups, the maturity model establishes five pillars of collaboration—scheduling significance, planners and schedulers, scheduling representation, goal alignment with owner, and communication. The maturity model is then validated through iterative feedback and chi-squared statistical analysis of data obtained from a survey. The five pillars are tied to the literature and previous work in CS.

Findings

The analysis shows that current industry projects are not consistent in collaboration practice implementation, and the maturity model identifies areas for collaboration improvement. The study's contributions to the body of knowledge are (1) developing a maturity model-based approach to define and measure the current level of collaboration and (2) discovering the level of consistency in scheduling collaboration practice implementation.

Practical implications

The findings provide a benchmark for self-evaluation and peer-to-peer comparison for project managers. The model is also useful for project managers to develop effective strategies for improvement on targeted dimensions and metrics.

Originality/value

The construction engineering and management (CEM) literature does not contain targeted models for scheduling collaboration in the context of maturity and, broadly speaking, neither does the literature at large. The literature also lacks actionable items as presented for the maturity model for collaborative scheduling (MMCS).

Details

Engineering, Construction and Architectural Management, vol. 30 no. 4
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 3 January 2017

Anthony Scanlan, Daniel O’Hare, Mark Halton, Vincent O’Brien, Brendan Mullane and Eric Thompson

The purpose of this paper is to present analysis of the feedback predictive encoder-based analog-to-digital converter (ADC).

142

Abstract

Purpose

The purpose of this paper is to present analysis of the feedback predictive encoder-based analog-to-digital converter (ADC).

Design/methodology/approach

The use of feedback predictive encoder-based ADCs presents an alternative to the traditional two-stage pipeline ADC by replacing the input estimate producing first stage of the pipeline with a predictive loop that also produces an estimate of the input signal.

Findings

The overload condition for feedback predictive encoder ADCs is dependent on input signal amplitude and frequency, system gain and filter order. The limitation on the practical usable filter order is set by limit cycle oscillation. A boundary condition is defined for determination of maximum usable filter order. In a practical implementation of the predictive encoder ADC, the time allocated to the key functions of the gain stage and loop quantizer leads to optimization of the power consumption.

Practical implications

A practical switched capacitor implementation of the predictive encoder-based ADC is proposed. The power consumption of key circuit blocks is investigated.

Originality/value

This paper presents a methodology to optimize the bandwidth of predictive encoder ADCs. The overload and stability conditions may be used to determine the maximum input signal bandwidth for a given loop quantizer. Optimization of power consumption based on the allocation of time between the gain stage and the successive approximation register ADC operation is investigated. The lower bound of power consumption for this architecture is estimated.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36 no. 1
Type: Research Article
ISSN: 0332-1649

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Book part
Publication date: 3 February 2025

Chandrima Chakraborty and Dipyaman Pal

Abstract

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Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook
Type: Book
ISBN: 978-1-83797-743-7

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Book part
Publication date: 6 September 2019

Abstract

Details

Experiencing Persian Heritage
Type: Book
ISBN: 978-1-78754-813-8

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Book part
Publication date: 21 October 2014

Robert H. Blank

Abstract

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Politics and the Life Sciences: The State of the Discipline
Type: Book
ISBN: 978-1-78441-108-4

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Book part
Publication date: 27 May 2021

Nolwenn Bühler

Free Access. Free Access

Abstract

Details

When Reproduction Meets Ageing
Type: Book
ISBN: 978-1-83909-747-8

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