A novel business strategies framework of do-it-yourself (DIY) practices in logistics to minimize environmental waste and improve performance

Upadhyay, Arvind, Kumar, Anil, Kumar, Vikas and Alzaben, Ahmed (2021) A novel business strategies framework of do-it-yourself (DIY) practices in logistics to minimize environmental waste and improve performance. Business Strategy and the Environment, 30 (8). pp. 3882-3892. ISSN 0964-4733

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Abstract / Description

The transportation sector is consuming a high quantity of oil and producing air pollution, CO2, allergies, as well as promoting the storage of goods in traditional warehouses. It’s creating not only waste and polluted the environment but also increase the temperature, air pollution, and low rainfall. The present study intends to uncover and understand the challenges of logistic infrastructure as well as how the adoption of Do-It-Yourself (DIY) business strategies is useful to encourage those practices and technology which are useful in transforming the logistic infrastructure into an eco-friendly environment. The DIY focuses on purposely utilising digital technologies to increase the engagement and involvement of customers in businesses. Moreover, DIY enables organisations to produce products and services that are highly demanded and have high acceptability. After doing an extensive literature review the enablers of DIY are identified and empirical investigation has been conducted. The analysis of the study provides a business strategies framework of DIY which would help the logistics managers in the proper implementation of the Do-It-Yourself (DIY) practices to minimize negative environmental impact and improve business performance.

Item Type:	Article
Uncontrolled Keywords:	business strategies; environmental waste; performance; framework; logistics; industry 4.0 technologies
Subjects:	600 Technology > 650 Management & auxiliary services
Department:	Guildhall School of Business and Law
Depositing User:	Anil Kumar
Date Deposited:	01 Jun 2021 08:58
Last Modified:	05 Jan 2022 12:18
URI:	https://repository.londonmet.ac.uk/id/eprint/6713

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