BRAIN. Broad Research in Artificial Intelligence and Neuroscience ISSN: 2068-0473 | e-ISSN: 2067-3957 Covered in: Web of Science (WOS); PubMed.gov; IndexCopernicus; The Linguist List; Google Academic; Ulrichs; getCITED; Genamics JournalSeek; J-Gate; SHERPA/RoMEO; Dayang Journal System; Public Knowledge Project; BIUM; NewJour; ArticleReach Direct; Link+; CSB; CiteSeerX; Socolar; KVK; WorldCat; CrossRef; Ideas RePeC; Econpapers; Socionet. 2021, Volume 12, Issue 3, pages: 303-318 | https://doi.org/10.18662/brain/12.3/233 A Content Analysis on Publications Written on (E-Government and M-Government) from 2000 to 2021 Huseyin BİCEN¹, Shobo Najim SHALİ2 1 Near East University, Cyprus, huseyin.bicen@neu.edu.tr 2 KPI Research Center, Iraq, shoboshali@hotmail.com Abstract: The ICT (Internet Communication Technology), with the assistance of Web 2.0 tools, made a revolutionary impact on organizational performances, including the governmental ones. The Electronic Government or (E-Government) is a modern approach that contributes positively to the governmental organization's performances; it leads to a structural reforms and creates an innovative atmosphere in the flow of information. The Mobile Government or (M-Government) created by the technology innovators to add better efficiency to the governmental organizations works for saving time and efforts. Between 2000 and 2021, this study looked at publications that supported E-Government and M-Government that were published on the Scopus website or contributed to the Scopus database. Keywords: E-Government, M-Government, e-government, m- government. E-gov, m-gov, government data processing. How to cite: Bicen, H., & Shali, S.N. (2021). A Content Analysis on Publications Written on (E-Government and M-Government) from 2000 to 2021. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 12(3), 303- 318. https://doi.org/10.18662/brain/12.3/233 https://doi.org/10.18662/brain/12.3/233 mailto:huseyin.bicen@neu.edu.tr mailto:shoboshali@hotmail.com https://doi.org/10.18662/brain/12.3/233 BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 304 1. Introduction In recent years, the demands on Smartphones increased incredibly (Silver, 2019). It became a necessary gadget for most of people. Young and old, even children demanding to own one of those smartphones for incredible capabilities in connecting to others and using advanced applications, like if you were completing your work with your palm of your hand. On the other hand, Advanced governments in the race for innovations and creating better tools for their types of work in serving their people (OECD 2017), by offering advanced solutions to their employees to provide better efficiency in technology base tools. From this angle, the e- government and the mobile government applications are created in supports of good governance. Around the world, advancements in E-government- oriented technologies and services are happening at a breakneck pace. E- government initiatives attempt to profit from the most cutting-edge types of information technology, notably web-based Internet applications, in order to improve government's core tasks. These functions are currently spreading the usage of mobile and wireless technology, paving the way for a new path: Government on the move (m-government) (Kushchu & Kuscu, 2016). The ICT (Internet Communication Technology) devices, with assistance Web 2.0 tools, allow multiple functions simultaneously (Bicen et al., 2012) and made a revolutionary impact on organizational performances, including governmental organizations. The e-government is a modern approach that contributes positively to the governmental organization's development; it leads to structural reforms and creates a creative atmosphere in the flow of information. Consequently, it will generate better performances from the government sides to serve their citizens better, leading to transparency and trust. E-government solutions strive to improve government essential activities by utilizing the most cutting-edge kinds of information technology, particularly web-based Internet applications. These functions have now expanded mobile and wireless technologies, resulting in a new trend: mobile government (m-government) (Kushchu & Kuscu, 2016). Further to the e-government developments, the mobile government supported by Smartphones creates an extra efficient tool for serving people from the comforts of their palms. The" at any time ... anywhere...." approach saves both governments and citizens time and effort. It changes the faces of organizations. Technology innovation is not going to stop at this point. With upcoming internet advancements of the G6, new technology in the A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 305 governmental institutions will arise under the Smart Government. This new approach is underway to make governments' organizations even more efficient and accessible to their citizens. This study aims to analyze the literature using e-government and its sub-setting tool "m-government technologies" in terms of various variables, give better guidance for future studies and research, and pinpoint the gap areas of studies regarding this specific subject. 1.1. The goal of the study This study aims to understand the amount of interest shown from different sectors to the Mobile Government (M-Gov.) researches with in the Electronic Government (E-Gov.) approach, from academics, scholars, and other professionals levels. In addition what has being published on Scopus website. 1.2. Hypothesis The following sub-objectives have been determined to help achieve the overall goal: 1. What is the distribution map of studies using the e-government and m-government aspects according to the publication type? 2. What is the distribution map of studies that use the e-government and m-government aspects by year of publication? 3. How is the distribution map of publications using the e- government and m-government aspects according to the number of authors? 4. What are the disciplines where articles about e-government and m-government publications used? 5. How is the distribution of studies using the e-government and m- government publications according to the country of interest? 2. Method The quantitative method is used to assess the content analysis for the electronic-government (e-government) and the mobile-government (m- government) publications. Content analysis is a research method that seeks to make repeatable and accurate conclusions about concepts from text and documents (Krippendorff, 2012). In another definition, content analysis is an unbiased and quantitative examination of the main substance of communication (Berelson, 1952). It can also be used to look for trends and patterns in documents (Stemler, 2000). BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 306 2.1. Scanning Criteria The researcher determined certain scanning and selecting criteria to determine the project procedure in this investigation (Jawabreh & Bicen, 2020). After defining the requirements, the terms searched basis on the criteria keywords "e-gov." and "m-gov" as well as “Electronic Government” and “Mobile Government” in the database of (Scopus) database to find all publications posted between the years 2000-2021. The results, 184 publications were found by the researcher within the contexts of the field in multiple categories. These articles were found to meet the criteria established at the end of the screening process. "Publishing types, publication years, authors, the discipline areas, the publication's country of origin, and their volumes" were all examined. 2.2. Sample All samples included from 2000 to 2021, the research sample includes papers about e-government and m-government discovered in the titling literature on the (Scopus) database. As a consequence of the research, many categories were investigated, and investigations were supported based on the data presented. 2.3. Data Collection and Analysis The information gathered for the study was evaluated using descriptive statistical approaches, such as percentages and frequencies (Jawabreh & Bicen, 2020). To meet the answer to each study question, the rates of the data were calculated based on the frequencies and given in tables. 3. Findings and Comments 3.1. Distribution of Projects by Publication Type The distribution map of studies on the use of "e-government and m- government" includes term equivalencies like "Electronic Government, Mobile Government, E-Gov., and M-Gov", analyzed by types of studies. The highest number of publication type appeared to be a Conference Papers with 48.92%, followed by Articles 32.06%, Book Chapters 14.13%, Conference Reviews 3.27%, and each of (Book, Editorial and Review Papers) with less than 1% which was 0.54%. A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 307 (Table 1) The Distribution of Projects on e-government AND m-government to their Publication Type) Source: Authors own conception Publication/ Document Types Number of Articles % Conference Paper 90 49.5% Article 59 32% Book Chapter 26 14% Conference Review 6 3 % Book 1 0.5% Editorial 1 0.5% Review 1 0.5% Total 184 % 100 3.2. Distribution of Projects by Publishing Years When the distribution map of studies on the use of "e-government and m-government" includes term equivalencies like "Electronic Government, Mobile Government, E-Gov., and M-Gov", the highest number of studies were analyzed by years observed between 2000-2021 with 8.7% in 2020. These studies came after those conducted in 2010 with 8.2% and in 2013 and 2014 with 7.6%. However, 3.3% of studies published in the 49% 32% 14% 3% 0% 1% 1% Types of Publications Conference Paper Article Book Chapter Conference Review Book Editorial Review BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 308 recent year 2021 so far, and this rate might change by the end of this year as other scholars might add to this table of accomplishment. (Table 2) The Distribution of Projects on e-government AND m-government to their Publishing Years Source: Authors own conception Publishing Years of Studies Number of Articles % Publishing Years of Studies Number of Articles % 2000 0 % 0 2011 13 % 7 2001 0 % 0 2012 11 % 6 2002 0 % 0 2013 14 % 7.6 2003 1 % 0.54 2014 14 % 7.6 2004 1 % 0.54 2015 12 % 6.5 2005 1 % 0.54 2016 12 % 6.5 2006 4 % 2.17 2017 12 % 6.5 2007 7 % 3.8 2018 11 % 6 2008 10 % 5.4 2019 14 % 7.6 2009 10 % 5.4 2020 16 % 8.7 2010 15 % 8.2 2021 (in progress) 6 % 3.3 Total 184 %100 A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 309 3.3. How is the distribution of publications using "e-government and m-government" according to the number of authors? When it comes to the number of authors, there are numbers of them. in "e-government and m-government" studies, six levels of contributions and 239 authors contributed to 184 publications. That means multiple people contributed to the same publications. In other words, some articles were published under more than one author. On the other hand, some authors contributed to more than one publication. The single highest contributing author contributed to five publications. Three authors contributed to four journals, and 12 authors contributed to 3 publications, followed by 37 authors with two publications and 106 singled publication authors. However, in this research, six undefined fields of authors were founded. (Table 3) The Distribution of Articles Using "e-government and m-government" According to the Number of Authors) Source: Authors own conception 0% 0% 0% 1% 1% 1% 2% 4% 5% 5% 8% 7% 6% 8% 8% 7% 7% 7% 6% 8% 9% 3% Publications per Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 (in progress) Highest Contributors Number of Authors Numbers of Publication Contribution Percentage 1 1 Author 5 Publications 3.125 2 3 Authors 4 Publications 2.5 BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 310 3.4. What are the disciplines where articles about "e-government and m-government"? Regarding the discipline areas of "e-government and m- government," the disciplines covered in related publications are listed in alphabetical order (Table 4). There are 325 disciplines in total in the study, which are divided into 15 groups. The field of Computer Science has the greatest studies in these disciplines with 42.76 percent, which is the highest one, and followed by Social Sciences of 18.76%. Business, Management and Accounting at 10.46%, Engineering 8.61%, Decision Sciences 8.31%, Mathematics 5.84%, Economics, Econometrics, and Finance 1.24%, both Multidisciplinary and Physics and Astronomy 0.93%, Environmental Science 0.61%, and each of (Agricultural and Biological Sciences, Arts and Humanities, Energy, Materials Science, plus Medicine) participated by less than 1%, which was equivalent to 0.31% of the total discipline. 31% 25% 19% 13% 6% 6% Authors Contribution Percentage 1 Author 5 Publications 3 Authors 4 Publications 12 Authors 3 Publications 37 Authors 2 Publications 106 Authors 1 Publications 6 Undefined Authors 3 12 Authors 3 Publications 1.875 4 37 Authors 2 Publications 1.25 5 106 Authors 1 Publications 0.625 6 6 Undefined Authors Undefined 0.625 Total Publications 184 100% A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 311 (Table 4) The distribution map of the discipline areas about "e-government and m- government" in the articles on Scopus Source: Authors own conception Research Topics Number of Articles % 1 Computer Science 139 42.76 2 Social Sciences 61 18.76 3 Business, Management, and Accounting 34 10.46 4 Engineering 28 8.61 5 Decision Sciences 27 8.31 6 Mathematics 19 5.84 7 Economics, Econometrics and Finance 4 1.24 8 Multidisciplinary 3 0.93 9 Physics and Astronomy 3 0.93 10 Environmental Science 2 0.61 11 Agricultural and Biological Sciences 1 0.31 12 Arts and Humanities 1 0.31 13 Energy 1 0.31 14 Materials Science 1 0.31 15 Medicine 1 0.31 Total 325 %100 43% 19% 11% 9% 8% 6% 1% 1% 1% 1% 0% 0% 0% 0% 0% Publications by Research Topics Computer Science Social Sciences Business, Management and Accounting Engineering Decision Sciences Mathematics Economics, Econometrics and Finance Multidisciplinary Physics and Astronomy BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 312 3.5. How is the distribution of studies using the e-government and m- government according to the country of interests? The country of origin for publications about "e-government and m- government" resulted in 226 countries. This means there are several publications with more than one country of origin. The highest contributing country of origin that linked to the affiliated institutions of the source of the publication in the United Kingdom with contributing 20 publications, which means the UK contributed to 8.85% of these studies, followed by the United state of 18 publication, an 8%, South Africa of 5.5%, India 5%, each of (Australia, China, Germany, and Malasia) contributed by 4%, Jordan 3.53%, Greece and Iran 3.1%, each of (Finland, Indonesia, Saudi Arabia, South Korea, Turkey) with 2.21%, each of (Bahrain, Italy, and United Arab Emirates) 1.76%, Eygipt, (Hungary, Indonesia, Netherland, Nigeria, and Sweden) of 1.5%, and the rest of countries contributed by 1 or 2 publications which contributing by less than 1% to the outcome of the search. However, seven publications came without country of origin or undefined. (Table 5) The distribution of the disciplines where articles about "e-government and m-government" are used Source: Authors own conception # Publication Country of Origin Number of Articles % # Publication Country of Origin Number of Articles % 1 United Kingdom 20 8.85 30 Israel 2 0.9 2 United States 18 8 31 Japan 2 0.9 3 South Africa 12 5.5 32 Malawi 2 0.9 4 India 11 5 33 Portugal 2 0.9 5 Australia 9 4 34 Qatar 2 0.9 6 China 9 4 35 Singapore 2 0.9 7 Germany 9 4 36 Switzerland 2 0.9 8 Malaysia 9 4 37 Taiwan 2 0.9 9 Jordan 8 3.53 38 Tanzania 2 0.9 10 Greece 7 3.1 39 Austria 1 0.5 11 Iran 7 3.1 40 Azerbaijan 1 0.5 12 Finland 5 2.21 41 Belgium 1 0.5 13 Indonesia 5 2.21 42 Bolivia 1 0.5 14 Saudi Arabia 5 2.21 43 Colombia 1 0.5 15 South Korea 5 2.21 44 Denmark 1 0.5 A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 313 16 Turkey 5 2.21 45 Estonia 1 0.5 17 Bahrain 4 1.76 46 France 1 0.5 18 Italy 4 1.76 47 Iraq 1 0.5 19 United Arab Emirates 4 1.76 48 Kenya 1 0.5 20 Egypt 3 1.5 49 Mauritius 1 0.5 21 Hungary 3 1.5 50 Mexico 1 0.5 22 Macedonia 3 1.5 51 Oman 1 0.5 23 Netherlands 3 1.5 52 Papua New Guinea 1 0.5 24 Nigeria 3 1.5 53 Peru 1 0.5 25 Sweden 3 1.5 54 Samoa 1 0.5 26 Bangladesh 2 0.9 55 Spain 1 0.5 27 Brazil 2 0.9 56 Thailand 1 0.5 28 Canada 2 0.9 57 Trinidad and Tobago 1 0.5 29 Czech Republic 2 0.9 58 Undefined 7 0.5 Total 226 %100 BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 314 9% 8% 5% 5% 4% 4% 4% 4% 4% 3% 3% 2% 2% 2% 2% 2% 2% 2% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% Publications by Country United Kingdom United States South Africa India Australia China Germany Malaysia Jordan Greece Iran Undefined Finland Indonesia Saudi Arabia South Korea Turkey Bahrain Italy United Arab Emirates Egypt Hungary Macedonia Netherlands Nigeria Sweden Bangladesh Brazil Canada Czech Republic Israel Japan Malawi A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 315 4. Results and Discussion Integrating mobile government solutions into electronic government applications and processes is rapidly increasing because it creates more efficiency for people. Smartphones are one of the best tools to connect and perform daily transactions "at any time and anywhere approach” (Parcell, 2015). This approach came very useful when Covid-19 invaded the entire world in the beginning of 2020, and the world's population still suffering from this pandemic until today. This study focused on understanding the amount of attention based on the M-government within the context of the E-government. This goal was determined by analyzing the number of publications that were published from one particular website database, the (Scopus), within the last 11 years from 2000 to 2020. When the distribution map of studies on the frequent use of "e- government and m-government" including term equivalents, analyzed by types of assignments (Table 1), the highest number of publication type appeared to be the Conference Papers with 48.92%, followed by Articles 32.06%, Book Chapters 14.13%, Conference Reviews 3.27%, and each of (Book, Editorial and Review Papers) with less than 1% which was 0.54%, this indicates the amount of attention given by professionals in exposing the subjects and discussing them at the professional levels. On the other hand, Books were the least of concerns from academics and professional institutions. The importance of the period is based upon the era of web 2.0 tools developments, including internet developments and smartphones. When the distribution map of studies on the frequent use of "e-government and m- government" including term equivalencies like "Electronic Government, Mobile Government, E-Gov., and M-Gov", analyzed by years (Table 2), there was a total of 184 publications, the highest number of studies observed between 2000-2021 was 8.7% in 2020. These studies were followed by those done in 2010 (with 8.2%), 2013, and 2014 (with 7.6%). However, 3.3% of studies published in the recent year 2021 so far, and this rate might change by the end of this year as other scholars might add to this table of accomplishment. In addition, the research found no publications posted before 2003, which means the attention to this subject did not initiate or not posted on Scopus before 2003. The data analysis showed graduate increase toward 2010 and graduate decrease toward 2020. Then it reached a peak in 2020, which explained by the pandemic situation. BRAIN. Broad Research in September, 2021 Artificial Intelligence and Neuroscience Volume 12, Issue 3 316 When it comes to the number of authors in the areas of "e- government and m-government" studies who contributed to 184 publications, six levels of contributions and 239 authors found (Table 3). That means multiple people contributed to the same publications. In other words, some publications were published under more than one author. On the other hand, some authors contributed to more than one publication. The single highest contributing author contributed by (5) publications, followed by (3) authors contributed to (4) publications, and (12) authors contributed to (3) publications, followed by (37) authors with (2) publications and (106) singled authored publication. However, in this research, six articles were found with undefined authors. If we calculate each author's effort to the total work of 184 publications, we find each author contributed by 0.625%. Regarding the discipline interests in publications of "e-government and m-government," the disciplines included in related publications (Table 4) and studies have 15 categories of disciplines areas of total 325 covered in the 184 publications, this means some publications covered more than one area of discipline. Computer Science is the most common place to look for research in these fields, the highest with 42.76%, followed by Social Sciences of 18.76%, Business, Management and Accounting of 10.46%, Engineering 8.61%, Decision Sciences 8.31%, Mathematics 5.84%, Economics, Econometrics and Finance 1.24%, both Multidisciplinary and Physics and Astronomy 0.93%, Environmental Science 0.61%, and each of (Agricultural and Biological Sciences, Arts and Humanities, Energy, Materials Science, plus Medicine) participated by less than 1%, which was equivalent to 0.31% of the total discipline. The country of origin is linked to affiliated institutions that adopting studies. When it came to the country of origin for these 184 publications about "e-government and m-government," it resulted in 226 countries. This means there are many publications with more than one country of origin, which means multiple institutions joined efforts in the contribution of these researches as shown in (Table 5). This study shows the highest contributing country as an origin of the affiliated institution to the publication in the United Kingdom, contributing to 20 publications in that period. In other words, UK contributed to 8.85% of these studies with 20 publications, followed by the United state with 18 publication of 8%, then South Africa of 5.5%, India 5%, each of (Australia, China, Germany, and Malasia) contributed by 4%, Jordan 3.53%, Greece and Iran 3.1%, and each of (Finland, Indonesia, Saudi Arabia, South Korea, Turkey) with 2.21%, each of (Bahrain, Italy, and United Arab Emirates) 1.76%, (Egypt, Hungary, Indonesia, Netherland, Nigeria, and Sweden) 1.5%, and the rest of countries A Content Analysis on Publications Written on (E-Government and … Huseyin BİCEN & Shobo Najim SHALİ 317 contributed by 1 or 2 publications which will be less than 1% to the outcome of the search. However, the study shows seven publications came without country of origin or undefined country. 5. Limitations This study is restricted to a single website. More testing, extending to numerous target websites, is needed to reproduce and verify the approach's functionality. 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