Quality improvement practices and the effect on manufacturing firm performance: Evidence from Mexico and the USA

2001 ◽  
Vol 39 (1) ◽  
pp. 43-63 ◽  
Author(s):  
Everett E. Adam ◽  
Benito E. Flores ◽  
Arturo MacIas
Keyword(s):  
Quality Improvement ◽  
Firm Performance ◽  
Manufacturing Firm ◽  
The Usa

scholarly journals Quality improvement in mental health services

2019 ◽  
Vol 44 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Billy Boland
Keyword(s):  
Mental Health ◽  
Quality Improvement ◽  
Mental Health Services ◽  
Health Services ◽  
Manufacturing Industry ◽  
Mental Healthcare ◽  
Lean Thinking ◽  
Use Of Data ◽  
Healthcare Improvement ◽  
The Usa

Quality improvement (QI) approaches are becoming increasingly important in the delivery of mental healthcare internationally. They were originally developed in the manufacturing industry, but the principle of having a systematic approach to improvement has spread to many other industries, not least to healthcare. Quality improvement approaches in healthcare were pioneered in the USA at organisations such as Virginia Mason and the Institute for Healthcare Improvement. In recent years, they have become firmly established in mental health services in the UK's National Health Service (NHS). There are a number of different approaches to quality improvement, but two leading models have taken root: ‘lean thinking’ (also known as ‘lean methodology’ or simply ‘lean’), which arose out of Virginia Mason, and the ‘Model for Improvement’, which came out of the Institute of Healthcare Improvement. This article describes these two quality improvement approaches, critiques their philosophy and explores how they can apply in the provision of mental healthcare, particularly with reference to the use of data, evidence and metrics.

Networked improvement communities

2017 ◽  
Vol 25 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Paul G. LeMahieu ◽  
Alicia Grunow ◽  
Laura Baker ◽  
Lee E. Nordstrum ◽  
Louis M. Gomez
Keyword(s):  
Quality Improvement ◽  
Social Systems ◽  
New Teacher ◽  
Added Value ◽  
Content Type ◽  
Public School Systems ◽  
The Usa ◽  
Theoretical Foundations

Purpose The purpose of this paper is to delineate an approach to quality assurance in education called networked improvement communities (NICs) that focused on integrating the methodologies of improvement science with few of the networks. Quality improvement, the science and practice of continuously improving programs, practices, processes, products and services within organized social systems, is a still-evolving area in education. This paper is the first of seven elaborating upon different approaches to quality improvement in education[1]. It delineates a new methodology called the NICs model. Developed by the Carnegie Foundation for the Advancement of Teaching, the approach is aimed at continuously improving the quality of practices, processes and outcomes in targeted problem areas in education systems. Design/methodology/approach The paper presents the historical development, theoretical foundations, core principles and adaptation of key elements of the NICs model for quality improvement in education. A case study specifically examines the problem of fostering new teacher effectiveness and retention in large public school systems in the USA. Findings The six principles underlying the NICs model are as follows: make the work problem-specific and user-centered, focus on variation in performance, see the system that produces outcomes, improve at scale what you can measure, use disciplined inquiry to drive improvement and accelerate learning through networked communities. Originality/value Few theoretical treatments and demonstration cases are currently available that examine the application of common models of quality improvement in education. This paper elaborates on one promising approach. In addition to examining the NICs model, the paper derives added value by allowing comparisons with seven widely used quality improvement approaches treated in this volume.

scholarly journals CEO Compensation in the U.S.: Are CEOs Underpaid or Overpaid ?

2018 ◽  
Vol 7 (3) ◽  
pp. 78
Author(s):  
Phillip James ◽  
Il-woon Kim
Keyword(s):  
Firm Performance ◽  
Financial Crisis ◽  
Regression Models ◽  
Ceo Compensation ◽  
Accounting Performance ◽  
Time Period ◽  
Multiple Regression Models ◽  
Before And After ◽  
The Usa ◽  
Compensation Packages

This study investigates the adequacy of CEO compensation from the perspective of using accounting measures to assess the performance of CEOs. The main objective of this research is to determine to what extent compensation packages received by American CEOs represent an underpayment of CEOs based on the performance of their firms when firm performance is defined in terms of accounting measures. CEO compensation data are obtained from Compustat, 10K SEC filings, and Forbes listing of CEO data.  The analysis covers a two-phased time period i.e., before and after the financial crisis in the USA. CEO compensation data are analyzed for the years 2004, 2005, 2006, and 2007 (pre-financial crisis) and for years 2009 to 2013 (post financial crisis). Multiple regression models consisting of six accounting performance measures are used to perform the analysis to determine the extent of CEO underpayment or overpayment. Having examined 1151 CEO compensation packages to determine if CEO underpayment exist in light of what is an overwhelming literature supporting CEO overpayment, the results show that 67.33% of the CEOs were in fact underpaid based on their firms performance, and only 32.67% (376 CEOs) were overpaid based on firm performance.

scholarly journals The role of marketing in today's enterprises

2014 ◽  
Vol 25 (2) ◽  
pp. 171-194 ◽  
Author(s):  
Jochen Wirtz ◽  
Sven Tuzovic ◽  
Volker G. Kuppelwieser
Keyword(s):  
Firm Performance ◽  
Market Orientation ◽  
Design Methodology ◽  
Low Cost ◽  
Structural Models ◽  
The West ◽  
Marketing Department ◽  
Content Type ◽  
The Usa

Purpose – The purpose of this paper is to explore the role of marketing in today's enterprises and examines the antecedents of the marketing department's influence and its relationship with market orientation and firm performance. Design/methodology/approach – Data were collected from the West (i.e. the USA and Europe) and the East (i.e. Asia). Partial least squares (PLS) was used to estimate structural models. Findings – The findings support the idea that a strong and influential marketing department contributes positively to firm performance. This finding holds for Western and Asian, and for small/medium and large firms alike. Second, the marketing department's influence in a firm depends more on its responsibilities and resources, and less on internal contingency factors (i.e. a firm's competitive strategy or institutional attributes). Third, a marketing department's influence in the West affects firm performance both directly and indirectly (via market orientation). In contrast, this relationship is fully mediated among Eastern firms. Fourth, low-cost strategies enhance the influence of a firm's marketing department in the East, but not in the West. Research limitations/implications – The paper assumes explicitly that a marketing department's influence is an antecedent of its market orientation. While the paper finds support for this link, the paper did not test for dual causality between the constructs. Originality/value – Countering the frequent claim in anecdotal and journalistic work that the role of the marketing department diminishes, the findings show that across different geographic regions and firm sizes, strong marketing departments improve firm performance (especially in the marketing-savvy West), and that they should continue to play an important role in firms.

Nonmarket and market strategies, strategic uncertainty and strategic capabilities

2018 ◽  
Vol 41 (2) ◽  
pp. 252-274 ◽  
Author(s):  
John A. Parnell
Keyword(s):  
Firm Performance ◽  
Rapid Development ◽  
Empirical Support ◽  
Organizational Capabilities ◽  
Marketing Capability ◽  
Strategic Uncertainty ◽  
Market Strategy ◽  
Content Type ◽  
The Usa ◽  
Market Strategies

Purpose Amidst rapid development in emerging economies, greater emphasis on public–private partnerships and a more complex regulatory environment, nonmarket strategy (NMS) is now widely viewed as a key component of a firm’s overall strategy. This paper aims to investigate how nonmarket and market strategies are influenced by strategic uncertainties and capabilities and ultimately drive firm performance. Design/methodology/approach A survey addressing strategic uncertainties, capabilities, NMS and market strategy and firm performance was administered online to 193 practicing managers in the USA. Measures for competitive strategy (i.e. cost leadership and differentiation), NMS, management and marketing capabilities, competitive and technology uncertainties and firm performance were adopted from or based on previous work. Hypotheses were tested via SmartPLS. Findings Emphasis on NMS was linked to high marketing capability, high competitive uncertainty and high technology uncertainty. Cost leaders were more likely than differentiators to emphasize on NMS, although all three strategies were positive drivers of performance. NMS appears to be viewed as a part of an integrated strategic approach by managers in many organizations. Research limitations/implications The sample included mangers in multiple industries. Self-typing scales were used to assess strategic emphasis and firm performance. Practical implications Emphasis on NMS can promote firm performance, but the relationship is complex. Strategic managers should align the NMS with organizational capabilities and a market-oriented strategy appropriate for the firm. Originality/value This paper provides empirical support for a model linking select strategic uncertainties, capabilities, market strategy and NMS and firm performance. It supports NMS as a key performance driver, but with links to uncertainties and capabilities that differ from those of market strategies.

A DMAIC Six Sigma approach to quality improvement in the anodising stage of the amplifier production process

2018 ◽  
Vol 35 (9) ◽  
pp. 1868-1880 ◽  
Author(s):  
Pallavi Sharma ◽  
Suresh Chander Malik ◽  
Anshu Gupta ◽  
P.C. Jha
Keyword(s):  
Quality Improvement ◽  
Production Process ◽  
Six Sigma ◽  
Shop Floor ◽  
Manufacturing Firm ◽  
Content Type ◽  
Root Cause ◽  
Six Sigma Methodology ◽  
Six Sigma Approach ◽  
Current Reality

Purpose The purpose of this paper is to study the anodising process of a portable amplifier production process to identify and eliminate the sources of variations, in order to improve the process productivity. Design/methodology/approach The study employs the define-measure-analyse-improve-control (DMAIC) Six Sigma methodology. Within the DMAIC framework various tools of quality management such as SIPOC analysis, cause and effect diagram, current reality tree, etc., are used in different stages. Findings High rejection rate was found to be the main problem leading to lower productivity of the process. Four types of defects were identified as main cause of rejections in the baseline process. Pareto analysis resulted in detection of the top defects, which were then analysed in details to find the root cause of the problem. Further study resulted in finding improvement measures that were discussed with the management before implementation. The process is sampled again to check the improvements, and control measures were established. Practical implications The study provides a framework for implementation of DMAIC Six Sigma methodology for a manufacturing firm. The results presented are based on the data collected from the shop floor. Results and findings of the study were implemented for quality improvement of the process. Originality/value The study is based on an original research conducted with the objective of quality improvement in the anodising process of the production process. Besides presenting an approach to DMAIC Six Sigma methodology, an application of the current reality tree tool for root cause analysis is presented, a tool used limitedly in the Six Sigma studies. The tool finds its uniqueness in its ability to address problems relating multiple factors than isolated factors.

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