ArticleHeliyon2024
Investigating business process management on environmental performance considering the mediating role of information technology.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Businesses in the current world need to plan in light of rapidly evolving factors including technology, equipment, the competitive market, customers, etc. To address the ever-increasing environmental concerns, corporations have implemented new policies and procedures. In this research, we apply a technological intervention to analyze how the uncertain nature of business management affects environmental performance at Huangshi in Hubei. The study's focus, quantitative nature, and descriptive-analytical approach all make it a subset of applied research. The library study approach is used to gather data for the purpose of compiling theoretical underpinnings and research material. Statistical packages like SPSS and PLS are used to do both descriptive and inferential analyses on the data. The hypothesis was analyzed using structural equation modeling. The study's findings revealed that BPM has a direct, beneficial, and statistically significant impact on corporate operations in terms of their impact on the environment (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.