Vinit Parida

23.0k citations
216 papers · 15.7k · 24 hit papers · h-index 65

Impact in

Papers in

Vinit Parida

205 papers receiving 15.0k citations

Vinit Parida's Hit Papers

Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach 2024 · 71 citations
710+2+4Years since publication100200300400500

Peers

Vinit Parida
Comparison fields: 5 of 153
  • Business and International Management 1.5k
  • Marketing 6.3k
  • Strategy and Management 7.5k
  • Management of Technology and Innovation 3.5k
  • Industrial and Manufacturing Engineering 2.7k
Replace Satish Nambisan with:
Satish Nambisan United States
Stefan Schaltegger Germany
Charbel José Chiappetta Jabbour Brazil
Manlio Del Giudice Italy
Demetris Vrontis Cyprus
Sascha Kraus Germany
Kee‐hung Lai Hong Kong
Raphael Amit United States
Henry Chesbrough United States
Rameshwar Dubey India
Vinit Parida relative to Satish Nambisan United States Satish Nambisan's profile →
Citations per field
00.5×2.8×
Satish Nambisan · 1×
Citations per year

Countries citing papers authored by Vinit Parida

Since Specialization
Citations

This map shows the geographic impact of Vinit Parida'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 Vinit Parida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinit Parida more than expected).

Fields of papers citing papers by Vinit Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinit Parida. 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 Vinit Parida. The network helps show where Vinit Parida may publish in the future.

Co-authors

The 25 scholars most cited alongside Vinit Parida, 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 Vinit Parida Line = papers co-authored together Vinit Parida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 216 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inbound Open Innovation Activities in High-Tech SMEs: The Impact on Innovation Performance
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2012607
2
Product–Service Systems (PSS) business models and tactics – a systematic literature review
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2014583
3
How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity
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2019572
4
Digital servitization business models in ecosystems: A theory of the firm
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2019570
5
Artificial intelligence and innovation management: A review, framework, and research agenda✰
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2020504
6
Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises
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2019476
7
The relationship between digitalization and servitization: The role of servitization in capturing the financial potential of digitalization
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2019467
8
Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises
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2022420
9
Digitalization Capabilities as Enablers of Value Co‐Creation in Servitizing Firms
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2016398
10
Adopting a platform approach in servitization: Leveraging the value of digitalization
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2017381
11
An agile co-creation process for digital servitization: A micro-service innovation approach
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2020339
12
Value Creation and Value Capture Alignment in Business Model Innovation: A Process View on Outcome‐Based Business Models
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2019306
13
Orchestrating industrial ecosystem in circular economy: A two-stage transformation model for large manufacturing companies
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2019289
14
Smart Factory Implementation and Process Innovation
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2018283
15
How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops
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2021279
16 2012277
17
Transforming provider-customer relationships in digital servitization: A relational view on digitalization
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2020260
18 2014250
19 2013248
20
Literature review on digitalization capabilities: Co-citation analysis of antecedents, conceptualization and consequences
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2021246

About Vinit Parida

Vinit Parida is a scholar working on Strategy and Management, Marketing, Management of Technology and Innovation, Organizational Behavior and Human Resource Management and Sociology and Political Science, having authored 216 papers that have together received 15.7k indexed citations. Recurring topics across this work include Service and Product Innovation (84 papers), Innovation and Knowledge Management (52 papers), Customer Service Quality and Loyalty (37 papers), Sustainable Supply Chain Management (33 papers), Digital Marketing and Social Media (28 papers), Entrepreneurship Studies and Influences (25 papers), Technology Adoption and User Behaviour (20 papers) and Innovation and Socioeconomic Development (16 papers). The work is most often cited by research in Business and International Management (1.5k citations), Marketing (6.3k citations), Strategy and Management (7.5k citations), Management of Technology and Innovation (3.5k citations) and Industrial and Manufacturing Engineering (2.7k citations). Vinit Parida has collaborated with scholars based in Sweden, Finland and Norway. Frequent co-authors include Joakim Wincent, David Sjödin, Marko Kohtamäki, Wiebke Reim, Pankaj C. Patel, Johan Frishammar, Javier Cenamor, Pejvak Oghazi, Daniel Örtqvist and Heiko Gebauer. Their work appears in journals such as Journal of Business Research, Technological Forecasting and Social Change, Industrial Marketing Management, IEEE Transactions on Engineering Management and Sustainability.

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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