Studying on Data-Driven Business Model Patterns

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AMINI MOSTAFA; HARIRI NADJLA; Ghayori Sales Majid; BABALHAVAEJI FAHIMEH; TAHERI SEYED MAHDI

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Journal Paper

Paper Information

Journal: Iranian Journal of Information Processing & Management Year:2020 | Volume:36 | Issue:1 (103) Page(s): 243-270

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Title

Studying on Data-Driven Business Model Patterns

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Keywords

Big DataQ1

Data-Driven EconomyQ1

Data EconomyQ1

Data-Driven BusinessQ2

Business Model PatternQ1

Abstract

The aim of this research is to comprehensively investigate various types of Data-Driven Business Patterns in order to help entrepreneurship and innovation actors, especially digital businesses efforts. This paper is a critical-argumentative study using a narrative review with a documentary approach. In order to collect and extract information, a comprehensive search was carried out on documents in the Iranian international scientific journals databases and some of the most famous management consulting groups in the world. The statistical population of this study was all documents related to the keyword Data-Driven Business Model in the period 2000 to 2018. After studying documents, in the literature section, 26 patterns of Data-Driven Business Model were indexed. After analyzing similarities, 20 patterns were counted. In the second review of these cases, 13 different patterns were identified, and in the third review period, the necessity of the need for these 13 patterns was identified by 5 complementary tools. Data-Driven Business model patterns can help innovators and entrepreneurs utilize the patterns in proportion to their customer groups or even think of the world’ s most successful businesses using these patterns. In this study, for the first time, all types of Data-Driven Business models were collected from different perspectives. If companies want to actually use these patterns, they should also be equipped with a set of complementary tools. Major complementary tools play a role in data ethics, identification of data stakeholders, and business-data alignment.

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APA: Copy

AMINI, MOSTAFA, HARIRI, NADJLA, Ghayori Sales, Majid, BABALHAVAEJI, FAHIMEH, & TAHERI, SEYED MAHDI. (2020). Studying on Data-Driven Business Model Patterns. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 36(1 (103) ), 243-270. SID. https://sid.ir/paper/390254/en

Vancouver: Copy

AMINI MOSTAFA, HARIRI NADJLA, Ghayori Sales Majid, BABALHAVAEJI FAHIMEH, TAHERI SEYED MAHDI. Studying on Data-Driven Business Model Patterns. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2020;36(1 (103) ):243-270. Available from: https://sid.ir/paper/390254/en

IEEE: Copy

MOSTAFA AMINI, NADJLA HARIRI, Majid Ghayori Sales, FAHIMEH BABALHAVAEJI, and SEYED MAHDI TAHERI, “Studying on Data-Driven Business Model Patterns,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 36, no. 1 (103) , pp. 243–270, 2020, [Online]. Available: https://sid.ir/paper/390254/en

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