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Preferences for service bundles in the energy sector – a survey of German private households

  • Purpose The purpose of this study is to examine private households’ preferences for service bundles in the German energy market. Design/methodology/approach This investigation is based on survey data collected from 3,663 customers of seven mainly municipal energy suppliers in the German energy market. The data set was analyzed via a binary logistic regression model to identify the most prospective customers and their preferences regarding bundles of energy services. Findings The results indicate that potential adopters of energy-related service bundles have greater prior knowledge about service bundles; place higher importance on simplified handling, flat rates and long price guarantees; prefer to purchase a service bundle from an energy supplier; live in urban areas and have a gas tariff; are both less likely to have a green electricity tariff and to support the German energy transition; have a greater intention to purchase a smart home product; are less likely to already be prosumers; and prefer customer centers and social media as communication channels with energy providers. Practical implications This paper offers several implications for decision-makers in developing marketing strategies for bundled offerings in a highly competitive energy market. Originality/value This paper contributes to the sparse research on service bundles in the energy sector, despite the growing interest of energy suppliers and consumers in this topic. It expands the research focusing on the telecommunications sector.

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Metadaten
Author of HS ReutlingenHackbarth, André; Tremml, Timo; Löbbe, Sabine
DOI:https://doi.org/10.1108/IJESM-09-2020-0013
ISSN:1750-6220
eISSN:1750-6239
Erschienen in:International journal of energy sector management
Publisher:Emerald
Place of publication:Bingley
Document Type:Article
Language:English
Year of Publication:2022
Tag:decision-making; energy sector; energy service bundle; mail questionnaires; marketing implications; preferences; purchase intention; regression; residential; retailing; surveys
Volume:16
Issue:March
Page Number:26
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open Access?:Nein
Licence (English):License Logo  Lizenzbedingungen Emerald