Shahriar Sajib

1.1k total citations · 2 hit papers
14 papers, 582 citations indexed

About

Shahriar Sajib is a scholar working on Management Information Systems, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Shahriar Sajib has authored 14 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 4 papers in Strategy and Management and 4 papers in Sociology and Political Science. Recurrent topics in Shahriar Sajib's work include Big Data and Business Intelligence (4 papers), Digital Marketing and Social Media (3 papers) and AI in Service Interactions (3 papers). Shahriar Sajib is often cited by papers focused on Big Data and Business Intelligence (4 papers), Digital Marketing and Social Media (3 papers) and AI in Service Interactions (3 papers). Shahriar Sajib collaborates with scholars based in Australia, United Kingdom and United States. Shahriar Sajib's co-authors include Shahriar Akter, Katina Michael, Yogesh K. Dwivedi, Grace McCarthy, Kathy Ning Shen, John D’Ambra, Ruwan Bandara, Kumar Biswas, Demetris Vrontis and Md Afnan Hossain and has published in prestigious journals such as Journal of Business Research, Annals of Tourism Research and International Journal of Information Management.

In The Last Decade

Shahriar Sajib

13 papers receiving 553 citations

Hit Papers

Algorithmic bias in data-driven innovation in the age of AI 2021 2026 2022 2024 2021 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Algorithmic bias in data-driven innovation in the age of AI
    2021 209 citations Shahriar Akter, Grace McCarthy et al. International Journal of Information Management profile →
  2. A framework for AI-powered service innovation capability: Review and agenda for future research
    2023 122 citations Shahriar Akter, Md Afnan Hossain et al. Technovation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shahriar Sajib Australia 11 157 149 115 102 84 14 582
Dominik Dellermann Germany 9 125 0.8× 173 1.2× 119 1.0× 95 0.9× 57 0.7× 31 672
Mona Ashok United Kingdom 8 102 0.6× 126 0.8× 177 1.5× 125 1.2× 112 1.3× 9 684
Emmanouil Papagiannidis Norway 5 170 1.1× 130 0.9× 69 0.6× 76 0.7× 32 0.4× 5 534
Shiko M. Ben‐Menahem Switzerland 7 137 0.9× 95 0.6× 202 1.8× 91 0.9× 41 0.5× 13 672
Albrecht Fritzsche Germany 11 149 0.9× 86 0.6× 142 1.2× 86 0.8× 110 1.3× 42 647
Hind Benbya United States 14 231 1.5× 172 1.2× 202 1.8× 227 2.2× 55 0.7× 42 977
Eva Bittner Germany 12 116 0.7× 274 1.8× 55 0.5× 159 1.6× 37 0.4× 49 832
Ruwan Bandara Australia 14 130 0.8× 101 0.7× 85 0.7× 283 2.8× 134 1.6× 21 657
Yash Raj Shrestha Switzerland 10 225 1.4× 216 1.4× 116 1.0× 167 1.6× 40 0.5× 34 900
Madugoda Gunaratnege Senali Australia 12 113 0.7× 190 1.3× 79 0.7× 184 1.8× 127 1.5× 15 767

Countries citing papers authored by Shahriar Sajib

Since Specialization
Citations

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

Fields of papers citing papers by Shahriar Sajib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahriar Sajib

This figure shows the co-authorship network connecting the top 25 collaborators of Shahriar Sajib. A scholar is included among the top collaborators of Shahriar Sajib based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shahriar Sajib. Shahriar Sajib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Akter, Shahriar, Md Afnan Hossain, Shahriar Sajib, et al.. (2023). A framework for AI-powered service innovation capability: Review and agenda for future research. Technovation. 125. 102768–102768. 122 indexed citations breakdown →
2.
Chowdhury, Md. Maruf Hossan, et al.. (2023). Digital transformation of supply chain: a study on additive manufacturing practice in medical device in Australia. Journal of Enterprise Information Management. 37(4). 1117–1139. 12 indexed citations
3.
Hani, Umme, et al.. (2022). The future of data-driven relationship innovation in the microfinance industry. Annals of Operations Research. 333(2-3). 971–997. 11 indexed citations
4.
Akter, Shahriar, et al.. (2022). Reconceptualizing cybersecurity awareness capability in the data-driven digital economy. Annals of Operations Research. 350(2). 673–698. 16 indexed citations
5.
Chowdhury, Md. Maruf Hossan, Mesbahuddin Chowdhury, Eijaz Ahmed Khan, & Shahriar Sajib. (2022). Supply chain relational capital for sustainability through governance: the moderating effect of network complexity. Supply Chain Management An International Journal. 28(2). 347–362. 21 indexed citations
6.
Akter, Shahriar, Yogesh K. Dwivedi, Shahriar Sajib, et al.. (2022). Algorithmic bias in machine learning-based marketing models. Journal of Business Research. 144. 201–216. 91 indexed citations
7.
Akter, Shahriar, et al.. (2021). Theorising the Microfoundations of analytics empowerment capability for humanitarian service systems. Annals of Operations Research. 335(3). 989–1013. 9 indexed citations
8.
Akter, Shahriar, Ruwan Bandara, & Shahriar Sajib. (2021). How to empower analytics capability to tackle emergency situations?. International Journal of Operations & Production Management. 41(9). 1469–1494. 20 indexed citations
9.
Akter, Shahriar, Yogesh K. Dwivedi, Kumar Biswas, et al.. (2021). Addressing Algorithmic Bias in AI-Driven Customer Management. Journal of Global Information Management. 29(6). 1–27. 39 indexed citations
10.
Chowdhury, Md. Maruf Hossan, Shahriar Sajib, Moira Scerri, & Eijaz Ahmed Khan. (2021). A decision model for efficient service design in the sharing economy: a service triad perspective. Asia Pacific Journal of Marketing and Logistics. 34(9). 2007–2031. 2 indexed citations
11.
Baumber, Alex, et al.. (2021). Sharing begins at home: A social licence framework for home sharing practices. Annals of Tourism Research. 91. 103293–103293. 18 indexed citations
12.
Akter, Shahriar, Grace McCarthy, Shahriar Sajib, et al.. (2021). Algorithmic bias in data-driven innovation in the age of AI. International Journal of Information Management. 60. 102387–102387. 209 indexed citations breakdown →
13.
Agarwal, Renu, Willem Selen, Shahriar Sajib, & Moira Scerri. (2014). Dynamic Capability Building in Service Networks: An exploratory case study. USC Research Bank (University of the Sunshine Coast). 12(1). 27. 12 indexed citations
14.
Agarwal, Renu, Willem Selen, Shahriar Sajib, & Moira Scerri. (2013). Dynamic Capability Building through partnering: An Australian Mobile handset case Study. UTS ePRESS (University of Technology Sydney).

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dominik Dellermann Breakdown of academic impact, for papers by Mona Ashok Breakdown of academic impact, for papers by Emmanouil Papagiannidis Breakdown of academic impact, for papers by Shiko M. Ben‐Menahem Breakdown of academic impact, for papers by Albrecht Fritzsche Breakdown of academic impact, for papers by Hind Benbya Breakdown of academic impact, for papers by Eva Bittner Breakdown of academic impact, for papers by Ruwan Bandara Breakdown of academic impact, for papers by Yash Raj Shrestha Breakdown of academic impact, for papers by Madugoda Gunaratnege Senali
Rankless by CCL
2026