Purpose
Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.
Design/methodology/approach
Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.
Findings
The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.
Research limitations/implications
Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.
Practical implications
This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.
Social implications
This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.
Originality/value
This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.
Haplocladium microphyllum moss samples were collected in Nanchang, China. Free amino acid (FAA) concentrations and N isotope compositions (δ15NFAA) in the samples were determined and compared with the bulk N concentrations and δ15Nbulk values. The aim was to determine whether δ15NFAA values in moss (which are very variable) indicate the sources of atmospheric N. The δ15NFAA values among individual FAA varied widely (from −19.3‰ to +16.1‰), possibly because of the different sources of N and isotope fractionation in amino acids metabolic pathways. Total 15N-enrichment for the individual FAAs was equal to total 15N-depletion relative to δ15Nbulk. The concentration-weighted mean δ15N value for total FAAs (TFAA) (δ15NTFAA) was −3.1‰ ± 3.2‰, which was similar to δ15Nbulk (−4.0‰ ± 2.9‰). We concluded that a N isotope balance occurred during amino acid metabolism and that little isotope disparity occurred between the concentration-weighted TFAA and bulk N. We concluded that δ15NTFAA ≈ δ15Nbulk ≈ δ15Nsource. The mean δ15Nalanine (−4.1‰), δ15Nglutamate (−4.2‰), and δ15Nlysine (−4.0‰) were similar to the mean δ15Nbulk, which we attributed to little isotope fractionation occurring during their in situ the metabolic pathways. This suggests that δ15Nalanine, δ15Nglutamate, and δ15Nlysine in moss can be used to indicate the sources of atmospheric N deposition.
This paper attempts to study the development trend and requirements of B2C e-commerce of agricultural products. The paper analyzed about the present situation of Chinese agricultural B2C,found its characteristics of diversification of sales model and sales principal. By CNNIC survey data analysis, concludes with recommendations including attaching great importance to the brand and user evaluation, strengthen the construction of supporting infrastructure, Cultivating agricultural e-commerce talents.
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