Suchergebnisse

PurposeThe purpose of this paper is to examine the effect of supply logistics integration (SLI) on inbound supply performance (ISP) and competitive performance (CP) in firms, in addition to examining the effect of ISP on CP.Design/methodology/approachTo demonstrate the effect of SLI on ISP and CP, different techniques such as factor analysis, correlation analysis, and structural equation modeling were used to verify the validity of the proposed conceptual model and to test the suggested hypotheses. This was accomplished by using data collected from 192 companies in the Saudi food industry (representing a response rate of 75.6 percent).FindingsAccording to the study's findings, ISP is positively affected by SLI. Moreover, CP is directly affected by SLI and ISP.Research limitations/implicationsDue to the specific nature of the sample, the findings of the current research are applicable only to the food industry.Originality/valueThe current research introduced a conceptual model, which has been tested and verified in the Saudi food industry. The findings recommend that both SLI as well as ISP will contribute to improving the CP. In addition, SLI will improve the ISP.

Aus ägyptischer Sicht

PurposeThe purpose of this paper is to examine the effect of knowledge management capabilities (KMCs) on supply chain management practices (SCMP) and organizational performance (OP) in firms, in addition to examining the effect of supply chain management on OP.Design/methodology/approachTo demonstrate the effect of KMCs on SCMP, and OP, different techniques such as factor analysis, correlation analysis, and structural equation modeling were used to verify the validity of the proposed conceptual model and to test the suggested hypotheses, using data collected from 165 companies in the Saudi food industry (representing a response rate of 74.9 percent).FindingsAccording to the study's findings, SCMP are positively affected by KMCs. Moreover, OP is directly affected by KMCs and SCMP.Research limitations/implicationsDue to the specific nature of the sample, the findings of the current research are applicable only to the food industry.Originality/valueThe current research introduced a conceptual model, which has been tested and verified in the Saudi food industry. The findings recommend that both KMCs as well as SCMP will contribute to improving the OP. In addition, KMCs will improve the SCMP.

Highly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly shift from C sources at the beginning of the rotation to large C sinks until harvest. In order to get a model simulating carbon pool and fluxes for both Eucalyptus plantations and other crops, we integrated several sub-models of the Eucalyptus-dedicated Generic Decomposition And Yield Model (G'DAY) into the large scale and multi-cover model Agro-IBIS (Integrated Biosphere Simulator). The G'DAY model was previously parametrized and validated using large experimental datasets obtained in commercial eucalypt plantations in the state of Sao Paulo. Implementing an Eucalyptus plantation cover type within AgroIBIS. which had no Plant Functional Type dedicated to fast-growing forest plantations, required important changes in the carbon allocation turnover sub-models. This study included three phases: (1) the computational modification of AgrolBIS; (2) the model parametrization, calibration and validation using data from intensively monitored sites or inventories datasets; and (3) model application at regional scale using sets of parameters which were considered to be constant in space and/or time based on data from the local experiments, and other sets of parameters which could vary spatially. Carbon fluxes of Eucalyptus plantations were simulated at the regional scale, and their inter-annual and spatial variabilities were analysed. Such spatial and multiannual quantification of carbon fluxes at large scales brings a better understanding of these forest ecosystems on global carbon cycling, which is a prerequisite to support policy decisions.