The Experts below are selected from a list of 126090 Experts worldwide ranked by ideXlab platform
Sadao Sakakibara - One of the best experts on this subject based on the ideXlab platform.
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A FRAMEWORK AND Measurement Instrument FOR JUST-IN-TIME MANUFACTURING
Production and Operations Management, 2009Co-Authors: Sadao Sakakibara, Barbara B. Flynn, Roger G SchroederAbstract:While Just-in-Time (JIT) manufacturing has emerged as one of the major tools to enhance manufacturing competitiveness, no attempt has been made to develop a reliable and valid Measurement Instrument for empirical research in JIT. Without such an Instrument, generalization beyond the immediate sample is difficult or misleading. We have proposed a JIT framework and developed a valid and reliable Instrument with 16 summated scales for dimensions that capture essential aspects of JIT useful in assessing its impact in manufacturing environments. In addition, we discuss in detail the interactive nature of JIT practice. And, we propose a step-by-step approach to reliability and validity testing. Four JIT practices (equipment layout, pull system support, supplier quality level, and Kanban) are identified as major contributing factors to JIT performance.
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a framework for quality management research and an associated Measurement Instrument
Journal of Operations Management, 1994Co-Authors: Barbara B. Flynn, Roger G Schroeder, Sadao SakakibaraAbstract:Abstract Research on quality incorporates a range of concerns, including quality definition and management, and such specific mechanisms as statistical quality control (SQC). However, though research in statistical quality control has evolved in a scientific and rigorous fashion, based on the early works of Shewhart, Juran, Deming and others, the study of other aspects of quality, particularly quality management, has not evolved in a similarly rigorous fashion. Theory development and Measurement issues related to reliability and validity are particularly weak in the quality management literature. Starting from a strategic perspective of the organization, this paper identifies and substantiates the key dimensions of quality management, then tests the Measurement of those dimensions for reliability and validity. In doing so, it establishes a clear framework for subsequent research and for evaluation of quality management programs by practitioners. In order to specify the important dimensions of quality management, a thorough search of the relevant literature was undertaken. Quality management is defined as an approach to achieving and sustaining high quality output; thus, we employ a process definition, emphasizing inputs (management practices) rather than outputs (quality performance) in our analysis. Quality management is first viewed as an element of the integrated approach known as World Class Manufacturing; quality management supports and is supported by JIT, human resources management, top management support, technology management and strategic management. The key dimensions of quality management are then articulated. Top management support creates an environment in which quality management activities are rewarded. These activities are related to quality information systems, process management, product design, work force management, supplier involvement and customer involvement. They are used in concert to support the continuous improvement of manufacturing capability. As manufacturing capability and quality performance improve, a plant achieves and sustains a competitive advantage. This, in turn, provides feedback, reinforcement and resources to top management, which stimulates continuous improvement. Based on the seven dimensions of quality management identified in this paper, a set of 14 perceptual scales was developed. The scales were assessed for reliability and validity with a sample of 716 respondents at 42 plants in the U.S. in the transportation components, electronics and machinery industries. Reliability is broadly defined as the degree to which scales are free from error and, therefore, consistent. The use of reliable scales provides assurance that the obtained results will be stable. Application of Cronbach's alpha both across the board and by industry and nationality subsamples refined the original group of 14 scales to 11 internally consistent scales. Validity refers to the degree to which scales truly measure the constructs which they are intended to measure. This provides academic and industry users with confidence that the scales measure important constructs which are related to independent measures of the same constructs, and that each scale measures a single construct. It was concluded that the scales, and the Instrument as a whole, are valid measures of quality management practices. Thus, the scales may be used with confidence by both researchers and industry users to measure quality management practices, with the ability to generalize beyond the immediate sample. This paper makes several important contributions to the area of quality management. It proposes an emergent theory of quality management and links it to the literature. Because the proposed scales are reliable and valid, they may be used by other researchers for hypothesis testing and by practitioners for assessing quality management practices in their plants and for internal and external benchmarking. Finally, the paper provides a step-by-step approach and criteria for conducting reliability and validity analysis of a Measurement Instrument.
Frank Bannister - One of the best experts on this subject based on the ideXlab platform.
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Consumer trust in Internet shopping in Ireland: towards the development of a more effective trust Measurement Instrument
Journal of Information Technology, 2007Co-Authors: Regina Connolly, Frank BannisterAbstract:Trust is a complex phenomenon that pervades human relations. It is essential for the success of business-to-consumer electronic commerce, where many of the tools that can be used in its absence (contracts, advance payments, insurance, etc.) may not be available. However, research as to how consumer trust can be built in an online environment is limited and varies considerably in terms of the dimensions of the problem that are examined. Consequently, much of our understanding of the antecedents of trust in online shopping context remains fragmented. This study uses a previously validated Measurement Instrument to investigate, in an Irish context, the existence and importance of specific perceptions and factors that are thought to predict the generation of consumer trust in Internet shopping. The research results provide evidence that Irish consumers' perception of vendor trustworthiness is the result of specific factors that it is possible for vendors to manage. A modified model that addresses the key dimensions of consumer trust in Internet shopping in Ireland is proposed.
Barbara B. Flynn - One of the best experts on this subject based on the ideXlab platform.
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A FRAMEWORK AND Measurement Instrument FOR JUST-IN-TIME MANUFACTURING
Production and Operations Management, 2009Co-Authors: Sadao Sakakibara, Barbara B. Flynn, Roger G SchroederAbstract:While Just-in-Time (JIT) manufacturing has emerged as one of the major tools to enhance manufacturing competitiveness, no attempt has been made to develop a reliable and valid Measurement Instrument for empirical research in JIT. Without such an Instrument, generalization beyond the immediate sample is difficult or misleading. We have proposed a JIT framework and developed a valid and reliable Instrument with 16 summated scales for dimensions that capture essential aspects of JIT useful in assessing its impact in manufacturing environments. In addition, we discuss in detail the interactive nature of JIT practice. And, we propose a step-by-step approach to reliability and validity testing. Four JIT practices (equipment layout, pull system support, supplier quality level, and Kanban) are identified as major contributing factors to JIT performance.
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a framework for quality management research and an associated Measurement Instrument
Journal of Operations Management, 1994Co-Authors: Barbara B. Flynn, Roger G Schroeder, Sadao SakakibaraAbstract:Abstract Research on quality incorporates a range of concerns, including quality definition and management, and such specific mechanisms as statistical quality control (SQC). However, though research in statistical quality control has evolved in a scientific and rigorous fashion, based on the early works of Shewhart, Juran, Deming and others, the study of other aspects of quality, particularly quality management, has not evolved in a similarly rigorous fashion. Theory development and Measurement issues related to reliability and validity are particularly weak in the quality management literature. Starting from a strategic perspective of the organization, this paper identifies and substantiates the key dimensions of quality management, then tests the Measurement of those dimensions for reliability and validity. In doing so, it establishes a clear framework for subsequent research and for evaluation of quality management programs by practitioners. In order to specify the important dimensions of quality management, a thorough search of the relevant literature was undertaken. Quality management is defined as an approach to achieving and sustaining high quality output; thus, we employ a process definition, emphasizing inputs (management practices) rather than outputs (quality performance) in our analysis. Quality management is first viewed as an element of the integrated approach known as World Class Manufacturing; quality management supports and is supported by JIT, human resources management, top management support, technology management and strategic management. The key dimensions of quality management are then articulated. Top management support creates an environment in which quality management activities are rewarded. These activities are related to quality information systems, process management, product design, work force management, supplier involvement and customer involvement. They are used in concert to support the continuous improvement of manufacturing capability. As manufacturing capability and quality performance improve, a plant achieves and sustains a competitive advantage. This, in turn, provides feedback, reinforcement and resources to top management, which stimulates continuous improvement. Based on the seven dimensions of quality management identified in this paper, a set of 14 perceptual scales was developed. The scales were assessed for reliability and validity with a sample of 716 respondents at 42 plants in the U.S. in the transportation components, electronics and machinery industries. Reliability is broadly defined as the degree to which scales are free from error and, therefore, consistent. The use of reliable scales provides assurance that the obtained results will be stable. Application of Cronbach's alpha both across the board and by industry and nationality subsamples refined the original group of 14 scales to 11 internally consistent scales. Validity refers to the degree to which scales truly measure the constructs which they are intended to measure. This provides academic and industry users with confidence that the scales measure important constructs which are related to independent measures of the same constructs, and that each scale measures a single construct. It was concluded that the scales, and the Instrument as a whole, are valid measures of quality management practices. Thus, the scales may be used with confidence by both researchers and industry users to measure quality management practices, with the ability to generalize beyond the immediate sample. This paper makes several important contributions to the area of quality management. It proposes an emergent theory of quality management and links it to the literature. Because the proposed scales are reliable and valid, they may be used by other researchers for hypothesis testing and by practitioners for assessing quality management practices in their plants and for internal and external benchmarking. Finally, the paper provides a step-by-step approach and criteria for conducting reliability and validity analysis of a Measurement Instrument.
Gonzalo Sánchez-gardey - One of the best experts on this subject based on the ideXlab platform.
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Assessing social capital in academic research teams: a Measurement Instrument proposal
Scientometrics, 2019Co-Authors: Fernando Martín-alcázar, Marta Ruiz-martínez, Gonzalo Sánchez-gardeyAbstract:The increasing importance of multidisciplinarity and scientific collaboration makes it necessary to explore the configuration and structure of relationships within researchers’ teams. The academic social capital construct can be particularly useful to conceptualize these internal ties. Nevertheless, the majority of studies in the academic context have measured social capital through social network techniques, drawing on quantitative counts of encounters to measure relationships. This approach fails to measure more qualitative and behavioural dimensions of social capital, which also need to be accounted for to fully understand relational dynamics within research teams. Considering this, the paper aims to propose and validate an Instrument to measure academic social capital that combines the two approaches. First, based on the consensus opinion of an expert panel (Delphi method), a questionnaire comprising 20 items was designed and implemented. The scale was complemented with sociometric questions for assessing position and interconnectivity within the network. Second, an exploratory factor analysis technique was applied. The designed Instrument was specified as a second-order model with three first-order factors (relational dimension, cognitive dimension and structural dimension) and a second-order factor (social capital). The confirmatory factorial analysis verified that the proposed model fit the sample data, showing that it could be used to reliably measure academic social capital.
Regina Connolly - One of the best experts on this subject based on the ideXlab platform.
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Consumer trust in Internet shopping in Ireland: towards the development of a more effective trust Measurement Instrument
Journal of Information Technology, 2007Co-Authors: Regina Connolly, Frank BannisterAbstract:Trust is a complex phenomenon that pervades human relations. It is essential for the success of business-to-consumer electronic commerce, where many of the tools that can be used in its absence (contracts, advance payments, insurance, etc.) may not be available. However, research as to how consumer trust can be built in an online environment is limited and varies considerably in terms of the dimensions of the problem that are examined. Consequently, much of our understanding of the antecedents of trust in online shopping context remains fragmented. This study uses a previously validated Measurement Instrument to investigate, in an Irish context, the existence and importance of specific perceptions and factors that are thought to predict the generation of consumer trust in Internet shopping. The research results provide evidence that Irish consumers' perception of vendor trustworthiness is the result of specific factors that it is possible for vendors to manage. A modified model that addresses the key dimensions of consumer trust in Internet shopping in Ireland is proposed.
