A pricing optimization modelling for assisted decision making in telecommunication product-service bundling

Product service bundle (PSB) is a marketing strategy that offers attractive product-service packages with competitive pricing to ensure sustained profitability. However, designing suitable pricing for PSB is a non-trivial task that involves complex decision-making. This paper explores the significan...

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Main Authors: Anies Faziehan Zakaria, Soon Chong Johnson Lim, Muhammad Aamir
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:International Journal of Information Management Data Insights
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667096824000016
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author Anies Faziehan Zakaria
Soon Chong Johnson Lim
Muhammad Aamir
author_facet Anies Faziehan Zakaria
Soon Chong Johnson Lim
Muhammad Aamir
author_sort Anies Faziehan Zakaria
collection DOAJ
description Product service bundle (PSB) is a marketing strategy that offers attractive product-service packages with competitive pricing to ensure sustained profitability. However, designing suitable pricing for PSB is a non-trivial task that involves complex decision-making. This paper explores the significance of pricing optimization in the telecommunication industry, focusing on product-service bundling (PSB). It delves into the challenges associated with pricing PSB and highlights the transformative impact of big data analytics on decision-making for PSB strategies. The study presents a data-driven pricing optimization model tailored for designing appropriate pricing structures for product-service bundles within the telecommunication services domain. This model integrates customer preference knowledge and involves intricate decision-making processes. To demonstrate the feasibility of the proposed approach, the paper conducts a case study encompassing two design scenarios, wherein the results reveal that the model offers competitive pricing compared to existing telecommunication service providers, facilitating PSB design and decision-making. The findings from the case study indicate that the data-driven pricing optimization model can significantly aid PSB design and decision-making, leading to competitive pricing strategies that open avenues for new market exploration and ensure business sustainability. By considering both product and service features concurrently, the proposed model provides a pricing reference for optimal decision-making. The case study validates the feasibility and effectiveness of the approach within the telecommunication industry and highlights its potential for broader applications. The model's capability to generate competitive pricing strategies offers opportunities for new market exploration, ensuring business growth and adaptability.
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spelling doaj.art-af95be8ac4a442df8b6323f1c2d694172024-01-21T05:11:09ZengElsevierInternational Journal of Information Management Data Insights2667-09682024-04-0141100212A pricing optimization modelling for assisted decision making in telecommunication product-service bundlingAnies Faziehan Zakaria0Soon Chong Johnson Lim1Muhammad Aamir2Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia; Corresponding author.School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, MalaysiaCollege of Science and Engineering, University of Derby, UKProduct service bundle (PSB) is a marketing strategy that offers attractive product-service packages with competitive pricing to ensure sustained profitability. However, designing suitable pricing for PSB is a non-trivial task that involves complex decision-making. This paper explores the significance of pricing optimization in the telecommunication industry, focusing on product-service bundling (PSB). It delves into the challenges associated with pricing PSB and highlights the transformative impact of big data analytics on decision-making for PSB strategies. The study presents a data-driven pricing optimization model tailored for designing appropriate pricing structures for product-service bundles within the telecommunication services domain. This model integrates customer preference knowledge and involves intricate decision-making processes. To demonstrate the feasibility of the proposed approach, the paper conducts a case study encompassing two design scenarios, wherein the results reveal that the model offers competitive pricing compared to existing telecommunication service providers, facilitating PSB design and decision-making. The findings from the case study indicate that the data-driven pricing optimization model can significantly aid PSB design and decision-making, leading to competitive pricing strategies that open avenues for new market exploration and ensure business sustainability. By considering both product and service features concurrently, the proposed model provides a pricing reference for optimal decision-making. The case study validates the feasibility and effectiveness of the approach within the telecommunication industry and highlights its potential for broader applications. The model's capability to generate competitive pricing strategies offers opportunities for new market exploration, ensuring business growth and adaptability.http://www.sciencedirect.com/science/article/pii/S2667096824000016PSBProduct service bundleBundle pricingPricing decisionService design
spellingShingle Anies Faziehan Zakaria
Soon Chong Johnson Lim
Muhammad Aamir
A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
International Journal of Information Management Data Insights
PSB
Product service bundle
Bundle pricing
Pricing decision
Service design
title A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
title_full A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
title_fullStr A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
title_full_unstemmed A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
title_short A pricing optimization modelling for assisted decision making in telecommunication product-service bundling
title_sort pricing optimization modelling for assisted decision making in telecommunication product service bundling
topic PSB
Product service bundle
Bundle pricing
Pricing decision
Service design
url http://www.sciencedirect.com/science/article/pii/S2667096824000016
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