First Advisor

Tugrul Daim

Term of Graduation

Fall 2023

Date of Publication

12-7-2023

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management

Department

Engineering and Technology Management

Language

English

Subjects

Artificial intelligence, Business administration, Engineering, Food science, Information science, Sustainability

DOI

10.15760/etd.3692

Physical Description

1 online resource (xvi, 313 pages)

Abstract

Using E-commerce has become crucial for retailers, specifically in the food business; the Food industry is one of the essential drivers of economies in the world. In and after the era of COVID-19, as technology advances, there is a need to apply an omnichannel strategy. In response, this research aims to develop a decision focus assessing Omni-channeled adoption for the management of emerging technologies in food retailing during and after the era of COVID-19 to evaluate the omnichannel capabilities of food organizations. This establishes a decision model to fill the research gap to succeed and stay competitive in the food business. Using a systematic exploratory literature review has supported identifying the gap in this research area and demonstrating the importance of assessing omnichannel adoption in food retailing. However, it introduces the scope of omnichannel in food retail. The method used is based on building a hierarchical decision model (HDM) to find the optimal solution to fill gaps and to be implemented in food retailing. The main attributes of the omnichannel in the food industry were identified based on a literature review and expert judgments. These factors were categorized into perspectives and criteria to be used in the Hierarchical Decision Model; these perspectives are social, organizational, technological, legal, and financial. They established the HDM scoring model using experts' validation, quantification, and desirability values. The food applications of this study investigate food retailing to assess the contribution of individual perspectives and criteria on decision-making. The model analyzes the weaknesses and strengths of two food organizations in Saudi Arabia, providing recommendations for improvement. The audience of this research is retailers, developers, researchers, participators, policymakers, decision-makers, and anyone interested in business and technology management.

Rights

© 2023 Esraa Bukhari

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Persistent Identifier

https://archives.pdx.edu/ds/psu/41129

Available for download on Saturday, December 07, 2024

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