Chiara Acciarini

571 citations
9 papers · 394 · 1 hit paper · h-index 6

Impact in

Papers in

Chiara Acciarini

9 papers receiving 382 citations

Chiara Acciarini's Hit Papers

How can organizations leverage big data to innovate their business models? A systematic literature review 2023 · 93 citations
930+1+2Years since publication255075

Peers

Chiara Acciarini
Comparison fields: 5 of 84
  • Business and International Management 22
  • Marketing 80
  • Strategy and Management 131
  • General Decision Sciences 14
  • Management Information Systems 67
Replace Luna Leoni with:
Luna Leoni Italy
Samuel Nathan Kirshner Australia
Alexandre Sukhov France
Nhu-Ty Nguyen Vietnam
Gerrit Wolf Germany
Jung-Chieh Lee China
Greg A. Stevens United States
Mariano Méndez-Suárez Spain
Nidthida Lin Australia
Krista J. Li United States
Chiara Acciarini relative to Luna Leoni Italy Luna Leoni's profile →
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Countries citing papers authored by Chiara Acciarini

Since Specialization
Citations

This map shows the geographic impact of Chiara Acciarini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chiara Acciarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Acciarini more than expected).

Fields of papers citing papers by Chiara Acciarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiara Acciarini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chiara Acciarini. The network helps show where Chiara Acciarini may publish in the future.

Co-authors

The 7 scholars most cited alongside Chiara Acciarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chiara Acciarini Line = papers co-authored together Chiara Acciarini links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020148
2
How can organizations leverage big data to innovate their business models? A systematic literature review
Hit paper breakdown →
202393
3 202174
4 202132
5 202020
6 202319
7 20246
8 20241
9 20251

About Chiara Acciarini

Chiara Acciarini is a scholar working on Strategy and Management, Management Information Systems, Marketing, Information Systems and Information Systems and Management, having authored 9 papers that have together received 394 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Organizational Leadership and Management Strategies (2 papers), Big Data and Business Intelligence (2 papers), Sustainable Supply Chain Management (2 papers), Innovation and Knowledge Management (2 papers), Digital Transformation in Industry (1 paper), Competitive and Knowledge Intelligence (1 paper) and Environmental Sustainability in Business (1 paper). The work is most often cited by research in Business and International Management (22 citations), Marketing (80 citations), Strategy and Management (131 citations), General Decision Sciences (14 citations) and Management Information Systems (67 citations). Chiara Acciarini has collaborated with scholars based in Italy. Frequent co-authors include Paolo Boccardelli, Federica Brunetta, Francesco Cappa, Raffaele Oriani, Lucia Marchegiani, Luca Pirolo and Enzo Peruffo. Their work appears in journals such as The TQM Journal, Management Decision, European Management Review, Technovation and R and D Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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