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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>F. Skargren, What is the point of benchmarking e-government? an integrative and critical
literature review on the phenomenon of benchmarking e-government', Information Polity</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3233/IP-190131</article-id>
      <title-group>
        <article-title>e-Government development: Benchmarking Ghana and Tanzania</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Godfried Adaba</string-name>
          <email>g.adaba@uel.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Leah Nwainyekule</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Francis Frimpong</string-name>
          <email>f.frimpong@uel.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>E-government</institution>
          ,
          <addr-line>benchmarking, Africa, Ghana, Tanzania, UN E-government survey</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Royal Docks School of Business and Law, University of East London, University House</institution>
          ,
          <addr-line>308 Water Ln, London E15</addr-line>
          ,
          <country country="UK">UK</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <volume>25</volume>
      <issue>2020</issue>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>Using time-series data from the United Nations e-government Surveys, this paper presents the comparative assessment of e-government (e-gov) in Ghana and Tanzania over the last two decades. The ifndings confirm tremendous progress in e-government development in both nations. However, while Ghana has made significantly more progress, the indicators for both countries are below the world averages, suggesting the need for strategies to boost e-gov development. Furthermore, to accelerate e-gov implementation, both nations need to go beyond systematizing existing procedures by engineering new practices to transform the relationship between government and citizens.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Electronic government (e-gov), according to international organizations like the United Nations
and the World Bank, is critical to good governance and development through fostering eficient,
responsible, and inclusive institutions. E-gov implementation has many benefits: promoting
socio-economic development by better access to public services, sharing information, and
implementing online processing requests for diverse services. In addition, e-gov supports
transparency, accountability, and corruption reduction by limiting bribery opportunities through
ICT-led rearrangement of work practices [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Besides, e-gov simplifies public administration,
improves the relationship between government and citizens, and strengthens the attainment of
sustainable development goals (SDGs) (United Nations, 2020). Moreover, recent crises, like as
the global Covid-19 outbreak, have spurred governments to use e-gov solutions to convey vital
information via web portals, social media, and mobile apps, eliminating the need for face-to-face
public service delivery [
        <xref ref-type="bibr" rid="ref2 ref3">2, 3</xref>
        ].
      </p>
      <p>
        Osei-Kojo [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] encapsulates the role of e-gov into four dimensions – eficiency, customer
satisfaction, economy, and service accessibility. Eficiency represents the delivery of e-gov in a
timely and efective way via operations automation to save labor costs. Customer satisfaction
evaluates the extent to which e-gov services meet the needs of stakeholders. At the same time,
the economy involves the cost savings from e-gov by reducing paperwork, stafing, and ofice
visits, thus saving taxpayers’ money [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Lastly, service accessibility denotes the availability
and user-friendly e-gov services to all who need them.
      </p>
      <p>
        While recent evidence demonstrates a considerable growth of e-gov globally, uptake is
lowest in Africa because of weak infrastructure, low levels of literacy [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], and the diference
between the design of e-gov and African realities, also known as the “design-reality gap” [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
In addition, developing countries, particularly in Africa, face several hurdles regarding e-gov
development. Gil-García and Pardo [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], in a review of the literature, recognized five principal
types of dificulties with e-gov. The first concerns data quality issues such as inaccuracies,
inconsistencies, and incompleteness of data. The second challenge relates to usability and ease
of using ICTs for e-gov. Third, organizational factors, such as individual interests, might lead to
resistance to change, conflicts, and turf issues. Fourth, the legal and regulatory environment
can often be an obstacle to e-gov if complex and restrictive. Other barriers include a significant
digital divide, insuficient e-infrastructure, and a lack of skills and competencies for designing,
implementing, using, and managing e-gov systems [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Despite this, evidence suggests that
most African governments have made remarkable progress in implementing e-government,
with significant variations in performance [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
      </p>
      <p>
        In this paper, we study the e-gov progress of Ghana and Tanzania through benchmarking, an
approach to making a comparative identification of the critical elements, particularities, and
diferences. Benchmarking is essential for informed and strategic decision-making to drive
progress. Furthermore, international comparisons of e-gov can inform policy debates and be
valuable to decision-makers, scholars, and practitioners [
        <xref ref-type="bibr" rid="ref11">11, 12</xref>
        ]. The Ghana and Tanzania
e-gov comparison could help stakeholders understand the current state of e-gov and serve as a
baseline for tracking future eGov progress. We chose Ghana and Tanzania as our benchmarks
out of the 54 countries in Africa for two reasons: first, while both countries are in Sub-Saharan
Africa, they are geographically distinct, with Ghana and Tanzania belonging to West Africa
and East Africa, respectively. They are both latecomers to the Internet, so they have witnessed
incredible progress and continue to do so.
      </p>
      <p>
        Furthermore, Ghana and Tanzania are lower-middle-income countries with considerable
economic growth hurdles, such as poor infrastructure development [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], but they have e-government
initiatives. Based on the preceding, we address the following research question: how do Ghana
and Tanzania compare in e-gov development? The paper contributes insights into progress by
identifying gaps, challenges, and opportunities in both countries.
      </p>
      <p>The rest of the paper proceeds as follows: The following section discusses the concept of
e-gov, examines the contribution of e-gov to development, and gives an overview of the study
countries of Ghana and Tanzania. After that, we discuss research methods and present the
ifndings. Finally, after discussing the implications of the results, the paper concludes.</p>
    </sec>
    <sec id="sec-2">
      <title>2. An overview of study countries</title>
      <p>Ghana was the first sub-Saharan African nation to gain political independence from Britain in
1957. Regarding administration, the country has 16 regions and has an estimated 30.83 million
inhabitants. Ghana has implemented policies directed at e-gov. The purpose of the Information
and Communication Technology for Accelerated Development (ICT4AD) policy of 2003 is to
promote ICT to transform Ghana into an information and knowledge society. In addition, the
eGhana Project of 2006 was a collaboration between the Ministry of Communications and the
World Bank to promote the development of e-gov applications and government communication.
These policies notwithstanding, e-gov development is beset with infrastructural, economic,
legal, and human resources challenges [13]. In addition, outdated laws and the culture of paper
document flows were institutional barriers to budgeting digitalization [ 14].</p>
      <p>On the other hand, the United Republic of Tanzania emerged as a union of Tanganyika and
Zanzibar on 26 April 1964. Before gaining independence on 9 December 1961, Tanganyika was
part of German East Africa and, later, a British colony from 1920 [15]. Tanzania’s e-government
plan, led by the e-Government Agency (eGA), establishes clear goals and targets for delivering
better services to more individuals while assuring transparency and cost savings. The strategy
involves four stages for the expected e-Gov evolution. These are Digital Presence: where
government organizations provide one-way information and limited interaction with clients;
Interaction: for citizens to use online facilities for requests, complaints, or job applications;
Transaction: providing secure transactions where clients do not have to visit a government
ofice to apply for services and make payments; and Transformation: allowing clients to interact
with one government rather than individual government organizations [16].</p>
      <p>Furthermore, while the country’s e-Gov motto is “Responsive Government – Enabled by
Technology,” seven principles: service innovation, equal access, ease of use, benefits realization
and involvement of all stakeholders, security and privacy, partnership and outsourcing, and
interoperability, guide e-gov initiatives, and services. The strategy’s six key performance
indicators are: Having an institutional framework developed by 2018; Improving the human
resources capacity by 2018; Developing government-wide electronic infrastructure by 2018;
Implementing government-wide shared systems by 2018; Implementing e-Service flagship
projects by 2017; and Increasing e-Government awareness by 2016 [16].</p>
    </sec>
    <sec id="sec-3">
      <title>3. Data and methods</title>
      <p>
        To answer the research question, we examined time-series data from the United Nations
Egovernment Survey (2003-2020), which quantifies the e-gov performance of countries and the
basis for the E-government Development Index (EGDI), a weighted average of three standardized
scores. The Online Service Index (OSI) calculates the breadth and quality of online services, while
the Telecommunication Infrastructure Index (TII) measures the adequacy of telecommunications
infrastructure. Lastly, the Human Capital Index (HCI) calculates the contribution of health and
education to the productivity of the next generation of the workforce. The rankings derived from
the survey are increasingly crucial for determining e-gov progress [17]. The standardized scores
for each dimension are computed and combined, each making up a third of the EGDI [18]. In
addition, the survey includes the e-Participation Index (EPI) on the use of online services to share
information, consult and make decisions [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. The survey data are credible and representative
[19] and have provided valuable data for research and tracking e-gov development since 2001
[20, 21, 22, 23]. However, the primary drawback of Survey analysis is the lack of contextual
information on the countries surveyed [23].
      </p>
    </sec>
    <sec id="sec-4">
      <title>4. Findings</title>
      <p>This section presents the findings in five parts: (1) trends in e-gov progress, (2) online services
delivery, (3) telecommunications infrastructure, (4) human capital, and (4) e-participation.</p>
      <sec id="sec-4-1">
        <title>4.1. Trends in e-government</title>
        <p>To achieve the study purpose, we compared overall e-gov progress by analyzing both countries’
EGDI scores and rank from 2003 to 2020. Figure 1 reveals that both countries have made
considerable progress, particularly in the last five years. Ghana and Tanzania had similar
EGDI scores between 2003 and 2013. Since 2015, however, Ghana has made significantly more
progress. In the most recent survey in 2020, Ghana recorded almost 0.6, compared to 0.4 for
Tanzania. The average EGDI score from 2003 to 2020 is 0.26 and 0.24 for Ghana and Tanzania,
respectively, below the world average of 0.60.</p>
        <p>Similarly, Figure 2 summarizes the EGDI ranking of both countries, showing that Ghana’s
improved from 139 in 2003 to 101 by 2020, while Tanzania progressed from 152 to 135 in the
same period. As a result, Ghana and Tanzania have an average rank of 129 and 138 out of 191
countries. In terms of overall EGDI performance, Ghana is the West African sub-regional leader
in e-gov development, ahead of Nigeria. At the same time, Tanzania is third in the East African
area, behind Mauritius and Kenya.</p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2. Online services delivery</title>
        <p>OSI assesses governments’ online presence, websites’ technical features, and e-gov policies
and strategies on a scale of 0 to 1. It examines the technical aspects of government web pages.
Instead of perfection, a high OSI value shows best practice. On the other hand, a lower score
does not imply a lack of development in the delivery of online e-government services. Instead,
it examines the technical aspects of government web pages. Instead of perfection, a high OSI
value shows best practice.</p>
        <p>On the other hand, a lower score does not imply a lack of development in the delivery of
online e-government services. To capture the efect of the availability of online services, we
compared the scope of online services in the two countries using the OSI values from 2003
to 2020. The evidence shows that both countries have made decent progress since 2003 — for
example, Ghana from 0.083 in 2003 to 0.64, a growth of 0.55. In the same period, Tanzania’s
OSI score has risen from 0.14 to 0.55, an increase of 0.41. The most recent OSI scores, recorded
in 2020, show that Ghana (0.64) is doing better than Tanzania (0.55) in delivering government
services online. Interestingly, Tanzania outperformed Ghana in 2003, 2004, and 2005, indicating
e-gov progress fluctuations. The average OSI scores from 2003 to 2020 for Ghana and Tanzania
are 0.260455 and 0.237267, respectively.</p>
      </sec>
      <sec id="sec-4-3">
        <title>4.3. Telecommunications infrastructure development</title>
        <p>The TII computes telecommunication infrastructure availability and readiness to embrace
digital solutions to improve e-gov. The TII considers estimated Internet users, the number
of fixed telephone lines and mobile subscribers, wireless broadband subscriptions, and fixed
broadband subscriptions per 100 inhabitants. Both countries have seen improvements in
telecommunications infrastructure and e-gov readiness (see Figure 3). Tanzania improved its TII
score from 0.00873 in 2003 to 0.243 and Ghana from 0.019 to 0.5598. The most striking result to
emerge on TII is that Ghana recorded over twice the TII scores of Tanzania in 2014, 2016, 2018,
and 2020. Ghana and Tanzania have average TII scores of 0.169137 and 0.072666, respectively.
Thus, in terms of TII, Tanzania made far less progress than Ghana.</p>
      </sec>
      <sec id="sec-4-4">
        <title>4.4. Human capital</title>
        <p>The HCI estimates children’s productivity and human capital potential based on optimal health
and education conditions. In addition, the HCI quantifies economic losses from sub-optimal
investments and their returns on human capital. An e-gov success critical factor is the presence
of educated with the right skills, knowledge, aptitudes, and motivation. We found similar HCI
scores for both countries from 2003 to 2012, with only moderate diferences. Between 2014 and
2020, however, Ghana made better progress than Tanzania. Our analysis shows that Ghana had
an average HCI score of 0.59. At the same time, Tanzania recorded 0.55, which suggests that
if present trends persist, children born would only realize 59 percent and 55 percent of their
highest potential in Ghana and Tanzania, respectively. Thus, the general health and education
standards would cost Ghana 41% of its national income. The equivalent number for Tanzania is
45%.</p>
      </sec>
      <sec id="sec-4-5">
        <title>4.5. e-Participation</title>
        <p>We analyzed e-participation for both countries from 2003 to 2020. The OSI value ranges from
0 (worst) to 1 (best). Ghana improved from 0.0345 in 2003 to 0.631, an increase of 0.5965,
while Tanzania advanced from 0.0172 to 0.5595, an improvement of 0.5423. As a result, the
average e-participation rank for Ghana is 92 and Tanzania 108. As the Figure shows, Ghana has
outperformed Tanzania in the EPI scores for all the years except 2016. However, the diference
in e-participation performance has been insignificant for most years. In terms of e-participation
rank (see Figure 5), Ghana has moved from 102 in 2003 to 82 in 2020. In contrast, Tanzania
moved from 123 to 98 in the same period. The most recent data in 2020 reveals that Ghana
is 16 points above Tanzania in the rankings. However, the average e-participation scores of
0.26 (Ghana) and 0.24 (Tanzania) are below the global average of 0.57, implying that 26 and 24
percent of Ghana and Tanzania’s population are involved with e-participation, compared to the
world average of 57%.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>5. Discussion</title>
      <p>We compared the e-gov development of Ghana and Tanzania using time series data from the
United Nations E-government Surveys for 2003 to 2020. To gain a better insight, we examined
the trend in online services delivery, the status of telecommunications infrastructure, and human
capital. We also examined levels of e-participation. Our analysis found that both countries
have made significant development in e-gov, even though Ghana has made significantly higher
progress than Tanzania. Despite this, considerable challenges remain. This critical question
emerges from this work: What are the implications of the findings for e-gov improvement in
Ghana and Tanzania?</p>
      <p>
        The low TII score suggests that telecommunications and ICT infrastructures are a relative
weakness and a significant challenge to e-gov progress for both countries. Yet prior research has
highlighted the importance of well-developed ICT and telecommunications for e-gov progress
[
        <xref ref-type="bibr" rid="ref1">24, 1</xref>
        ]. The digital divide persists in developing countries, causing poor access and use of
ICTs by large segments of the population [25]. This finding implies that both countries should
address the digital divide by prioritizing investment in the growth and development of technical,
legal, and regulatory aspects of telecommunications/ICTs to provide a firm foundation for e-gov
progress. Such assets will enhance the e-readiness of the countries to harness the potential of
ICTs and allow citizens to benefit from e-gov applications. In addition, however, governments
could improve institutional capacity through partnerships with the private sector and
nongovernmental organizations.
      </p>
      <p>It is well established by various studies that e-participation, the use of digital tools for
political participation, can encourage democratic values such as openness and accountability
[26]. However, we found low e-participation rates of 26 and 24 percent for Ghana and Tanzania,
respectively, below the regional average of almost 40 percent and the world average of 57
percent. E-gov interventions are necessary to foster e-government development by supplying a
wide range of high-quality government services through online portals. However, Verkijika and
De Wet [18] found the need for online services, which found that e-gov websites in sub-Saharan
Africa have poor usability, negatively afecting e-gov. To improve e-gov is essential to go beyond
systematizing current processes and ineficiencies by engineering new strategies to transform
the relationship between government and citizens.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Conclusion, limitations, and further research</title>
      <p>This article set out to provide a basic understanding of the e-gov progress of Ghana and
Tanzania. In our view, the benchmarking of e-gov progress in individual African countries
is minimal. Therefore, drawing on data from United Nations E-gov Surveys from 2003 to
2020, we benchmarked e-gov development in Ghana and Tanzania to uncover similarities and
diferences and draw implications. Overall, we found similarities and moderate diferences
in e-gov development between Ghana and Tanzania. However, although both countries have
made considerable progress, all key e-gov indicators are below the world averages. In addition,
both countries are resource-poor in terms of ICTs and the human resources that underpin e-gov.
Therefore, investments are necessary to improve e-gov.</p>
      <p>The study’s limitations open a variety of new research possibilities. First, a limitation of this
study is that the data is quantitative and computes e-gov averages but not the factors behind
the scores. We hope this preliminary study will pave the way for a more comprehensive future
investigation of e-gov using primary qualitative data. Primary research may help determine the
factors behind the e-gov scores, paving the way for more targeting suggestions for improving
e-gov. Second, the UN e-gov survey may be a limitation because it cannot examine the factors
that influence e-gov success. As a result, an in-depth comparative study of e-gov in Ghana
and Tanzania could be a potentially worthwhile direction for further research. Third, to
better understand e-government in Africa, further research is necessary to compare e-gov in
other African countries using primary qualitative data. Finally, research on the barriers to
e-government in Africa could be beneficial.</p>
    </sec>
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