Table 1.
Main Information of Data.
| Description | Results |
|---|---|
| Timespan | 2006:2025 |
| Sources (Journals, Books, etc) | 99 |
| Documents | 159 |
| Annual Growth Rate % | 8.84 |
| Document Average Age | 4.12 |
| Average citations per doc | 64.64 |
| References | 10512 |
| DOCUMENT CONTENTS | |
| Keywords Plus (ID) | 874 |
| Author’s Keywords (DE) | 518 |
| AUTHORS | |
| Authors | 455 |
| Authors of single-authored docs | 15 |
| AUTHORS COLLABORATION | |
| Single-authored docs | 17 |
| Co-Authors per Doc | 3.08 |
| International co-authorships % | 44.03 |
| DOCUMENT TYPES | |
| Article | 159 |
Table 2.
Keywords Analysis.
| Keywords | Frequency |
|---|---|
| Finance | 47 |
| Financial inclusions | 44 |
| Financial system | 36 |
| Technology adoption | 25 |
| Financial services | 23 |
| Innovation | 22 |
| Economic development | 21 |
| Sustainable development | 21 |
| Developing world | 18 |
| Developing countries | 17 |
| Banking | 16 |
| Electronic money | 16 |
| China | 14 |
| Information and communication technology | 14 |
| Financial market | 13 |
| Mobile phone | 12 |
| Sustainability | 12 |
| Carbon dioxide | 11 |
| India | 11 |
| Economic growth | 10 |

Figure 1.
Themes of Research Publication Through Keywords.
Table 3.
Most Productive Author.
| Authors | Articles | Articles Fractionalised |
|---|---|---|
| ASONGU S.A. | 5 | 1.75 |
| AL-OKAILY M. | 4 | 0.75 |
| OZILI P.K. | 4 | 3.50 |
| CASSIMON D | 3 | 1.00 |
| OSABUTEY ELC | 3 | 1.33 |
| SENYO PK | 3 | 1.08 |
| AHMAD AH | 2 | 0.67 |
| AL-QUDAH AA | 2 | 0.41 |
| BERNARDS N | 2 | 1.50 |
| BIEKPE N | 2 | 0.67 |
| CHATTERJEE A | 2 | 1.50 |
| CHEN P | 2 | 0.83 |
| COFFIE CPK | 2 | 0.70 |
| GABOR D | 2 | 1.00 |
| HONGJIANG Z | 2 | 0.70 |

Figure 2.
Three field plot method: Author, Source and Keywords.

Figure 3.
Global Cited Documents.
Table 4.
Most Global Documents.
| Paper | DOI | Total Citations | TC per Year | Normalized TC |
|---|---|---|---|---|
| GABOR D, 2017, NEW POLIT ECON | 10.1080/13563467.2017.1259298 | 486 | 54.00 | 2.110 |
| TCHAMYOU VS, 2019, TECHNOL FORECAST SOC CHANGE | 10.1016/j.techfore.2018.11.004 | 457 | 65.285 | 3.325 |
| SCHUETZ S, 2020, INT J INF MANAGE | 10.1016/j.ijinfomgt.2019.04.009 | 305 | 50.833 | 3.603 |
| SENYO PK, 2020, TECHNOVATION | 10.1016/j.technovation.2020.102155 | 256 | 42.667 | 3.024 |
| MUSHTAQ R, 2019, TECHNOL SOC | 10.1016/j.techsoc.2019.101154 | 250 | 35.714 | 1.819 |
| LEONG C, 2017, INT J INF MANAGE | 10.1016/j.ijinfomgt.2016.11.006 | 249 | 27.667 | 1.081 |
| OZILI P.K., 2021, FORUM SOC ECON | 10.1080/07360932.2020.1715238 | 248 | 49.600 | 3.563 |
| LASHITEW AA, 2019, RES POLICY | 10.1016/j.respol.2018.12.010 | 213 | 30.428 | 1.550 |
| AZIZ A, 2021, TECHNOL SOC | 10.1016/j.techsoc.2020.101509 | 212 | 42.400 | 3.045 |
| PRADHAN RP, 2021, TECHNOL FORECAST SOC CHANGE | 10.1016/j.techfore.2021.120758 | 177 | 35.400 | 2.543 |
| ORWAT C, 2008, BMC MED INFORMATICS DECIS MAK | 10.1186/1472-6947-8-26 | 175 | 9.722 | 1.483 |
| MÜNZEL C, 2019, ENERGY ECON | 10.1016/j.eneco.2019.104493 | 168 | 24.00 | 1.222 |
| DINIZ E, 2012, ELECT COMMER RES APPL | 10.1016/j.elerap.2011.07.006 | 164 | 11.714 | 1.789 |
| TRUBY J, 2020, SUSTAINABLE DEV | 10.1002/sd.2048 | 146 | 24.333 | 1.724 |
Table 5.
Prominent Journals.
| Sources | Articles |
|---|---|
| TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 15 |
| SUSTAINABILITY (SWITZERLAND) | 8 |
| TECHNOLOGY IN SOCIETY | 6 |
| RESOURCES POLICY | 5 |
| ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH | 4 |
| INFORMATION TECHNOLOGY FOR DEVELOPMENT | 4 |
| TELECOMMUNICATIONS POLICY | 4 |
| APPLIED ECONOMICS | 3 |
| INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS | 3 |
| JOURNAL OF CLEANER PRODUCTION | 3 |
| RESEARCH POLICY | 3 |
| APPLIED ECONOMICS LETTERS | 2 |
| BEHAVIOUR AND INFORMATION TECHNOLOGY | 2 |
| FINANCE RESEARCH LETTERS | 2 |
| INFORMATION TECHNOLOGY AND PEOPLE | 2 |
Table 6.
Country-Wise Documents.
| Region | Frequency |
|---|---|
| CHINA | 70 |
| INDONESIA | 38 |
| UK | 36 |
| INDIA | 28 |
| USA | 27 |
| MALAYSIA | 17 |
| GHANA | 16 |
| JORDAN | 16 |
| AUSTRALIA | 13 |
| GERMANY | 13 |
| FRANCE | 12 |
| ITALY | 11 |
| NIGERIA | 11 |
| SOUTH AFRICA | 11 |
| PAKISTAN | 10 |

Figure 4.
Country-Specific Production.

Figure 5.
Keyword co-occurrence network.