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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Does big data enhance firm innovation competency? The mediating role of data-driven insights
Maryam Ghasemaghaei, Goran Calic
Journal of Business Research (2019) Vol. 104, pp. 69-84
Closed Access | Times Cited: 223

Showing 1-25 of 223 citing articles:

Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations
Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe, et al.
International Journal of Production Economics (2019) Vol. 226, pp. 107599-107599
Open Access | Times Cited: 526
Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation
Francesco Ciampi, Stefano Demi, Alessandro Magrini, et al.
Journal of Business Research (2020) Vol. 123, pp. 1-13
Open Access | Times Cited: 435
Assessing the impact of big data on firm innovation performance: Big data is not always better data
Maryam Ghasemaghaei, Goran Calic
Journal of Business Research (2019) Vol. 108, pp. 147-162
Closed Access | Times Cited: 341
Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance
Usama Awan, Saqib Shamim, Zaheer Khan, et al.
Technological Forecasting and Social Change (2021) Vol. 168, pp. 120766-120766
Open Access | Times Cited: 338
Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda
Stefano Bresciani, Francesco Ciampi, Francesco Meli, et al.
International Journal of Information Management (2021) Vol. 60, pp. 102347-102347
Closed Access | Times Cited: 176
How do digitalization capabilities enable open innovation in manufacturing enterprises? A multiple case study based on resource integration perspective
Linfei Wu, Liwen Sun, Qing Chang, et al.
Technological Forecasting and Social Change (2022) Vol. 184, pp. 122019-122019
Closed Access | Times Cited: 155
Artificial intelligence and industrial innovation: Evidence from German firm-level data
Christian Rammer, Gastón P. Fernández, Dirk Czarnitzki
Research Policy (2022) Vol. 51, Iss. 7, pp. 104555-104555
Open Access | Times Cited: 147
Industry 4.0 and circular economy in an era of global value chains: What have we learned and what is still to be explored?
Usama Awan, İsmail Gölgeci, Dilshod Makhmadshoev, et al.
Journal of Cleaner Production (2022) Vol. 371, pp. 133621-133621
Open Access | Times Cited: 146
Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling
Abdalwali Lutfi, Mahmaod Alrawad, Adi Alsyouf, et al.
Journal of Retailing and Consumer Services (2022) Vol. 70, pp. 103129-103129
Open Access | Times Cited: 138
Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China
Maogang Tang, Yinlin Liu, Fengxia Hu, et al.
Energy Economics (2023) Vol. 128, pp. 107135-107135
Closed Access | Times Cited: 120
Artificial intelligence and firm-level productivity
Dirk Czarnitzki, Gastón P. Fernández, Christian Rammer
Journal of Economic Behavior & Organization (2023) Vol. 211, pp. 188-205
Open Access | Times Cited: 108
Digital and intelligent empowerment: Can big data capability drive green process innovation of manufacturing enterprises?
Tian Hong-na, Yunfang Li, Yan Zhang
Journal of Cleaner Production (2022) Vol. 377, pp. 134261-134261
Closed Access | Times Cited: 76
How can organizations leverage big data to innovate their business models? A systematic literature review
Chiara Acciarini, Francesco Cappa, Paolo Boccardelli, et al.
Technovation (2023) Vol. 123, pp. 102713-102713
Open Access | Times Cited: 75
Artificial Intelligence–HRM Interactions and Outcomes: A Systematic Review and Causal Configurational Explanation
Shubhabrata Basu, Bishakha Majumdar, Kajari Mukherjee, et al.
Human Resource Management Review (2022) Vol. 33, Iss. 1, pp. 100893-100893
Open Access | Times Cited: 72
Does digital dividend matter in China's green low-carbon development: Environmental impact assessment of the big data comprehensive pilot zones policy
Xiahai Wei, Feng Jiang, Lisha Yang
Environmental Impact Assessment Review (2023) Vol. 101, pp. 107143-107143
Closed Access | Times Cited: 69
The empirical study of digital marketing strategy and performance in small and medium-sized enterprises (SMEs)
Chih‐Wen Wu, Dolores Botella‐Carrubi, Cristina Blanco González‐Tejero
Technological Forecasting and Social Change (2024) Vol. 200, pp. 123142-123142
Closed Access | Times Cited: 25
Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality
Manaf Al‐Okaily, Aws Al-Okaily
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 18
Digital transformation, external financing, and enterprise resource allocation efficiency
Yan Liu, He QiuJu
Managerial and Decision Economics (2024) Vol. 45, Iss. 4, pp. 2321-2335
Closed Access | Times Cited: 15
How does digital transformation enhance industrial chain resilience? Evidence from China
Kaili Sun, Haohan Wang, Shengchao Ye
Finance research letters (2025) Vol. 75, pp. 106896-106896
Closed Access | Times Cited: 2
Artificial intelligence and innovation capability: A dynamic capabilities perspective
Yang Gao, S. Y. Liu, Lu Yang
International Review of Economics & Finance (2025), pp. 103923-103923
Open Access | Times Cited: 1
Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance
Manu Sharma, S. K. Joshi
The TQM Journal (2020) Vol. 35, Iss. 1, pp. 102-130
Closed Access | Times Cited: 91
Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
Frederico Cruz‐Jesus, Mauro Castelli, Tiago Oliveira, et al.
Heliyon (2020) Vol. 6, Iss. 6, pp. e04081-e04081
Open Access | Times Cited: 89
How data-driven innovation capability is shaping the future of market agility and competitive performance?
Saida Sultana, Shahriar Akter, Elias Kyriazis
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121260-121260
Closed Access | Times Cited: 88
Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics
Maryam Ghasemaghaei
International Journal of Information Management (2019) Vol. 57, pp. 102055-102055
Closed Access | Times Cited: 86
Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Saqib Shamim, Yumei Yang, Najam Ul Zia, et al.
Computers in Human Behavior (2021) Vol. 121, pp. 106777-106777
Open Access | Times Cited: 69
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