Workforce Information Customer Satisfaction Assessment: A Primer for State and Local Planning

A handbook designed to assist state workforce information professionals in developing strategies for assessing customer satisfaction with workforce information products and services

MEASURING THE PERFORMANCE OF XYZ GOVERNMENT AGENCY WITH THE BASIS OF MALCOLM BALDRIGE METHOD

Government agency is collective designation which includes work unit and organizational unit of ministries or departments, non-departmental government institution, secretariat of state high institution, and other central and regional government agencies; including state-owned enterprises, state-owned legal entities, and regional-owned enterprises. One of the very effective models in improving the quality of performance of an agency is by using the Malcolm Baldrige Criteria for Performance Excellence. This research was conducted with the aim of: 1) measuring the performance of XYZ Government Agency so that their performance consistency can be monitored and 2) finding out the opportunities and obstacles in measuring the performance of XYZ Government Agency by using the Malcolm Baldrige Quality Award (MBNQA) criteria. The type of this research is descriptive research that uses XYZ Government Agency as the research object. The measurement conducted in this research applies the Malcolm Baldrige method. The findings showed that the criteria with the highest percentage score is operation (39.8%) and the lowest percentage score is strategy (35.1%). The total score is 377.5 from a maximum score of 1000 points. It showed that the performance of XYZ Government Agency is at the level of “initial growth” (scale point of 376-475

Reducing the delivery lead time in a food distribution SME through the implementation of six sigma methodology

Purpose – Six sigma is a systematic data driven approach to reduce the defect and improve the quality in any type of business. The purpose of this paper is to present the findings from the application of six sigma in a food service “small to medium sized enterprise” (SME) in a lean environment to reduce the waste in this field. Design/methodology/approach – A simplified version of six sigma is adopted through the application of appropriate statistical tools in order to focus on customer's requirements to identify the defect, the cause of the defect and improve the delivery process by implementing the optimum solution. Findings – The result suggests that modification in layout utilization reduced the number of causes of defect by 40 percent resulting in jumping from 1.44 sigma level to 2.09 Sigma level which is substantial improvement in SME. Research limitations/implications – Simplicity of six sigma is important to enabling any SME to identify the problem and minimize its cause through a systematic approach. Practical implications – Integrating of supply chain objectives with any quality initiatives such as lean and six sigma has a substantial effect on achieving to the targets. Originality/value – This paper represents a potential area in which six sigma methodology along side the lean management can promote supply chain management objectives for a food distribution SME

HR Metrics and Strategy

[Excerpt] The idea that an organization\u27s people represent a key strategic resource is widely accepted. The business press is filled with examples of top executives proclaiming how important it is to engage people\u27s minds and spirits in the quest for competitive advantage (Boudreau & Ramstad, 1997; Boudreau, 1996). There is also mounting scientific evidence that certain bundles of high-performance work practices (e.g., performance-contingent pay, team-based work structures, selective recruitment and hiring, extensive training, etc.) are associated with higher organizational financial performance (Becker & Huselid, forthcoming; Ichniowski, Arthur, MacDuffie, Welbourne & Andrews)

Strategic Human Resource Management Measures: Key Linkages and the PeopleVantage Model

The field of human resource management faces a significant dilemma. While emerging evidence, theory and practical demands are increasing the visibility and credibility of human capital as a key to organizational success, the measures used to articulate the impact of human resource management decisions remain misunderstood, unwanted by key constituents, or even counter-productive. This article proposes that the key to creating meaningful HR metrics is to embed them within a model that shows the links between HR investments and organizational success. The PeopleVantage model is proposed as a framework, the application of the model is illustrated, and the potential of the model for guiding research and practical advances in effective HR measures is discussed

Iowa Communications Network Performance Report, FY2007

Agency Performance Repor

Scor Quality Model Affecting Manufacturing Firm’s Supply Chain Quality Performance And The Moderating Effect Of Qms

The main objective of this study is hypothesis testing to explain the nature of the relationship between the independent variables (The SCOR quality model) and the dependent variable (Supply Chain Quality Performance) and moderated by (QMS). Objektif utama kajian ini adalah untuk menerangkan hubungan antara model SCOR kualiti dengan prestasi kualiti rantaian bekalan sesebuah firma dan QMS memoderasikan huungan model SCOR kualiti dengan prestasi kuality rantaian bekalan

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm

Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This paper investigates this issue in depth and then develops a predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a cluster k-means approach is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The identification of patterns from big data is achieved with cluster k-means and with the selection of optimal attributes using genetic algorithms. A car customization case study shows how it may be applied and where to assign new clusters with growing knowledge of customer needs and wants. This approach offer a number of features suitable to smart design in realizing Industry 4.0