scholarly journals Measuring the Total Logistics Costs at the Macro Level: A Study of Indonesia

Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Sugeng Santoso ◽  
R. Nurhidayat ◽  
Gustofan Mahmud ◽  
Abdul Mujib Arijuddin
Keyword(s):  
Information Asymmetry ◽  
Measurement Model ◽  
Macro Level ◽  
Limited Data ◽  
Logistics System ◽  
Potential Measurement ◽  
Measurement Framework ◽  
Level Method ◽  
Comprehensive Measurement ◽  
Measurement Approach

Background: Efforts made to calculate the logistics costs in Indonesia, at the macro level, are facing various problems, due to the fact that there have been no national agreements—to any models employed—to calculate those costs. Moreover, limited data and information due to the lack of use of such integrated information technology to reduce the information asymmetry on the logistics processes and activities have created some additional problems. Objective: This study is aimed at reviewing the measurement model, of the logistics costs used in Indonesia, at the macro level. Method: It provides a potential measurement approach proposed by several previous studies as an alternative option that may help develop the existing models by elaborating on their limitations. Results: The results of this study emphasize the recognition of the components of the logistics costs and the formulation of a more accurate, transparent, and comprehensive measurement framework to improve the standard used to assess the logistics costs. Conclusion: Thus, the calculation output of the logistics costs is expected to be able to provide stakeholders with reliable information to develop an efficient logistics system. Furthermore, logistics costs will be more controllable, allowing Indonesia to achieve such comparative advantages.

scholarly journals Aspects and Challenges of Resource Use Measurement in Health Economics: Towards a Comprehensive Measurement Framework

2021 ◽  
Author(s):  
Luca M. M. Janssen ◽  
Ruben M. W. A. Drost ◽  
Aggie T. G. Paulus ◽  
Kirsty Garfield ◽  
William Hollingworth ◽  
...  
Keyword(s):  
Health Economics ◽  
Resource Use ◽  
Measurement Framework ◽  
Comprehensive Measurement

Investigating the Youth Physical Activity Promotion Model: Internal Structure and External Validity Evidence for a Potential Measurement Model

2007 ◽  
Vol 19 (4) ◽  
pp. 420-435 ◽  
Author(s):  
David A. Rowe ◽  
Thomas D. Raedeke ◽  
Lenny D. Wiersma ◽  
Matthew T. Mahar
Keyword(s):  
Physical Activity ◽  
External Validity ◽  
Internal Validity ◽  
Physical Activity Promotion ◽  
Measurement Model ◽  
Measurement Properties ◽  
Validity Evidence ◽  
Potential Measurement ◽  
Activity Promotion ◽  
Youth Physical Activity

The purpose of the study was to investigate the measurement properties of questionnaires associated with the Youth Physical Activity Promotion (YPAP) model. Data were collected from 296 children in Grades 5–8 using several existing questionnaires corresponding to YPAP model components, a physical activity questionnaire, and 6 consecutive days of pedometer data. Internal validity of the questionnaires was tested using confirmatory factor analyses, and external validity was investigated via correlations with physical activity and body composition. Initial model fit of the questionnaires ranged from poor to very good. After item removal, all scales demonstrated good fit. Correlations with percentage body fat and objectively measured physical activity were low but in the theoretically predicted direction. The current study provides good internal validity evidence and acceptable external validity evidence for a brief set of questionnaire items to investigate the theoretical basis for the YPAP model.

Towards a further step in understanding business excellence models: a comparative approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Hamdan Alanazi
Keyword(s):  
Relevant Literature ◽  
Measurement Model ◽  
Comparative Approach ◽  
Cultural Economic ◽  
Content Type ◽  
Business Excellence ◽  
Phase Study ◽  
National Quality ◽  
Quality Award ◽  
Comprehensive Measurement

PurposeA comparative analysis of the validity of business excellence models (BEMs) has rarely been empirically pursued. In addition to their similarities, BEMs exhibit differences in terms of their criteria, relations and emphasis, and some researchers have claimed that it is because these models tend to represent underlying cultural, economic, or social dynamics, as well as global best practices. Based on three such BEMs (the Malcolm Baldrige National Quality Award (MBNQA) model, the European Foundation for Quality Management (EFQM) model and the King Abdul Aziz Quality Award (KAQA) model), this paper introduces a four-phase study to analyse these models comparatively.Design/methodology/approachThis paper: (1) conceptually delineates the distinctive natures of and differences between the three models; (2) develops a comprehensive measurement model based on the content of these models; (3) reviews the relevant literature on BEMs; (4) discusses the motivation behind this comparative approach and (5) introduces a four-phase study to comparatively analyse these models.FindingsA comprehensive measurement model and three structural models are developed, but empirical tests have not been performed. This developed approach is introduced here as a first step in the advancement of our understanding of BEMs and their underlying theory.Originality/valueThe range of variability and complexity of BEMs—i.e. a holistic and comparative empirical view of BEMs—have not so far been fully considered, and findings in this domain tend to be inclusive, while some of the underlying relations of these models have not been investigated. This paper contributes to filling these research gaps.

The Structure, Specificity, and Validity of Depression Symptoms

2017 ◽  
pp. 61-86
Author(s):  
David Watson ◽  
Michael W. O’Hara
Keyword(s):  
Major Depression ◽  
Discriminant Validity ◽  
Measurement Model ◽  
Criterion Validity ◽  
Depression Symptoms ◽  
Symptom Dimensions ◽  
Convergent And Discriminant Validity ◽  
Specific Symptoms ◽  
Comprehensive Measurement ◽  
Symptom Criteria

This chapter examines key symptom criteria of major depression. It begins by developing a comprehensive measurement model based on six symptom dimensions: dysphoria, lassitude, insomnia, suicidality, appetite loss, and appetite gain. It then demonstrates that these symptom dimensions are robust and show impressive convergent and discriminant validity across multiple methods (self-reports, clinicians’ ratings, interview assessments). Three types of symptoms—dysphoria, lassitude, and suicidality—exhibit strong criterion validity and significant specificity in relation to diagnoses of major depression. In contrast, symptoms of insomnia and appetite disturbance display unimpressive criterion validity and poor specificity. Moreover, these nonspecific symptoms provided little or no incremental information in logistic regression analyses. Taken together, these results suggest that the diagnosis of depression can be improved by focusing primarily on strong and specific symptoms (such as dysphoria and lassitude) and deemphasizing weak and nonspecific symptoms (i.e., insomnia and appetite disturbance).

Confidence in Solutions of Flow Through Stochastically Generated Hard Rock Formations

1985 ◽  
Vol 50 ◽  
Author(s):  
Carol Braester ◽  
Roger Thunvik
Keyword(s):  
Hard Rock ◽  
A Priori ◽  
Fracture Network ◽  
Measurement Model ◽  
Second Step ◽  
Limited Data ◽  
Data Set ◽  
Geometrical Properties ◽  
Rock Formations ◽  
Flow Through

AbstractConfidence in solutions of flow through stochastically generated hard rock formations was studied with the aid of a simplified synthetic model. The formation is conceptualized as a fracture network intersecting an impervious rock mass. The geometrical properties of the fracture network were assumed to be known while fracture transmissivities were considered a stochastic process.First, network fracture transmissivities were generated using a given probability distribution function. This a priori model was considered the “true formation”. In a second step, only a limited amount of information, similar to that obtained in reality from boreholes, was used to construct a conditioned-by-measurement model.Identical flow tests were performed on a formation constructed with limited data and on the “true formation”. The ratio of the rates of flow resulting from these tests was considered a measure of confidence in the stochastically generated formation. The results, with this model and a particular data set, show uncertainty values between 47% to 63%, corresponding to fracture sample sizes of 11% and 2% respectively, from the total number in the network.

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