Manufacturing Strategy 1990
DOI: 10.1007/978-94-009-2189-4_8
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Bridging the Strategic Outcome Measurement Gap in Manufacturing Organizations

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Cited by 28 publications
(26 citation statements)
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“…This finding is consistent with the literature that suggests a correspondence between performance measures and the manufactur-Ž ing priorities emphasized Richardson et al, 1985; . Roth, 1989;Nemetz, 1990 . It is also possible that the above within and between group differences could be related to both Ž. Nakane's 1986 notion of how manufacturing progresses through various competitive priorities and Ž. Ferdows and De Meyer's 1990 sandcone model. For example, the Starters seem to have a light emphasis on all priorities that might show how dividing attention between the priorities diminishes the impact on certain performance measures.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This finding is consistent with the literature that suggests a correspondence between performance measures and the manufactur-Ž ing priorities emphasized Richardson et al, 1985; . Roth, 1989;Nemetz, 1990 . It is also possible that the above within and between group differences could be related to both Ž. Nakane's 1986 notion of how manufacturing progresses through various competitive priorities and Ž. Ferdows and De Meyer's 1990 sandcone model. For example, the Starters seem to have a light emphasis on all priorities that might show how dividing attention between the priorities diminishes the impact on certain performance measures.…”
Section: Resultsmentioning
confidence: 99%
“…cluding Morrison and Roth 1993, Ritzman et al Ž. Ž. Ž. 1993, Nemetz 1990, Wood et al 1990, and Ž. Roth and Miller 1990 . Manufacturing managers rated all items on a five-point Likert scale with values ranging from 1 to 5, with 5 being extremely important.…”
Section: Competitiõe Prioritiesmentioning
confidence: 99%
“…Correlations between responses from managers at the same firm for the same item(s) provide a means of checking the degree of inter-rater reliability [34]. Correlations…”
Section: Methodsmentioning
confidence: 99%
“…While objective measures are easily quantifiable and establishing benchmarks is straight forward, subjective measures are judgemental and establishing benchmarks is complex and often difficult. Nemetz (1990) identified in her research that it is always not possible to gather accurate, standard and objective performance data and hence it is necessary to rely on subjective or perceptual performance data. A survey done by Van Der Stede, Chow, and Lin (2006) concluded that organisations with extensive performance measurement systems that included both subjective and objective non-financial measures will achieve higher performance.…”
Section: Implementing Pmsmentioning
confidence: 97%