ICTs & Service Delivery – Comprehensive Study Notes

Information Revolution & Waves of Technological Change

  • Three historical waves driven by technology:

    • 1st Wave: Agricultural Revolution → mechanised farming ↑ productivity.

    • 2nd Wave: Industrial Revolution → mechanisation, modernisation, economic development.

    • 3rd Wave: Information Revolution / Digital Age → shift to knowledge & service economies, ubiquity of ICTs.

  • Information = knowledge ⇒ power; personal computer (1970s) + Internet/WWW (1990s) positioned ICTs at the centre of education, work, governance, social life.

The Contemporary State & ICT Adoption Theories

  • Characteristics of a modern state (Pierson): monopoly of violence, territoriality, sovereignty, constitutionality, impersonal power, bureaucracy, legitimacy, citizenship, taxation.

  • Necessarily a “performing” & “connected” state: responds to environment, uses ICTs for joined-up government.

  • The state is the largest collector & producer of information; ICT investment therefore critical.

  • Three core theories linking ICT & public administration:

    • Technological determinism: technology autonomously drives social change; SA accused of over-optimism here (Moodley).

    • Reinforcement theory: managers adopt tech aligning with organisational/political goals.

    • Sociotechnical theory: organisations = social systems; tech adoption mediated by social/ environmental factors.

National Development Plan (NDP) 2030 & ICT

  • NDP prepared by 26 commissioners; blueprint for a developmental South Africa.

  • ICT objectives:

    • Promote ICT diffusion & e-literacy.

    • Foster intergovernmental, public–private coordination.

    • Ensure affordable, universal access to online services.

    • Position SA as a developmental state.

    • Document downloadable at: http://www.npconline.co.za/…/NPC%20National%20Development%20Plan%20Vision%202030.pdf

Global & African e-Readiness Status

  • UN e-Government Survey 2012 regional EGDI averages:

    • Europe 0.71880.7188 (leader)

    • Americas 0.54030.5403

    • Asia 0.49920.4992

    • World avg 0.48820.4882

    • Oceania 0.42400.4240

    • Africa 0.27800.2780 (laggard)

  • Implication: Africa needs sustained investment in online services, telecom infrastructure & human capital.

Networked Readiness Index (NRI) Structure
  • 4 sub-indexes, 10 pillars, 53 indicators:

    1. Environment (Political & Regulatory + Business/Innovation).

    2. Readiness (Infrastructure & Digital Content; Affordability; Skills).

    3. Usage (Individual; Business; Government).

    4. Impact (Economic; Social).

South Africa’s 2012 NRI Standing
  • Overall score 3.873.87 (rank 72 worldwide; 3rd in Africa).

  • Comparators: Tunisia 4.124.12 (rank 50), Mauritius 4.064.06 (rank 53).

  • Strengths: relative continental leader; Weaknesses: household access gaps remain.

The Digital Divide

  • Term emerged mid-1990s (USA debates on technology rich vs. poor).

  • Definition (Merkel & Bishop): “troubling gap between those who use computers/Internet and those who do not.”

  • Multidimensional gaps:

    • Global (developed vs developing), inter-country, intra-country (province, urban-rural), income, education, race, ethnicity, gender, age, geography.

  • Specific SSA obstacles: limited infrastructure quality, affordability, skills deficit.

  • Africa worst-affected; divides visible between tech-rich urban centres & tech-poor rural/peripheral areas.

Household Access to Core ICTs in South Africa (circa mid-2000s)

Province

Cellphone %

Landline %

PC %

Internet %

Western Cape

46.7

55.3

33.8

23.4

Gauteng

48.7

28.5

25.2

20.0

KwaZulu-Natal

35.2

31.7

13.3

8.2

Free State

33.9

21.8

10.3

7.3

North West

35.3

15.0

9.9

5.0

Northern Cape

20.1

20.0

9.8

3.9

Eastern Cape

25.7

15.9

7.9

5.5

Mpumalanga

26.3

17.6

7.6

5.5

Limpopo

26.1

7.1

4.4

3.0

National Avg

33.1

23.6

13.6

9.1

  • Key insights:

    • Urban/wealthy provinces (WC, GP) far exceed national averages, especially on Internet.

    • PCs ownership low (≈12%12\%) → barrier to full participation.

Community Service Telephones (CSTs 2005)
  • Total 74,010 rolled out; provincial leader Gauteng (13,123), laggard Northern Cape (850).

Cellular Phones & m-Government

  • High household penetration everywhere except WC landline anomaly.

  • Features making mobiles ideal for government service:

    • Affordability (pre-paid, handset cost ↓).

    • Anywhere/anytime accessibility.

    • Ease of use (low literacy requirement).

    • Multi-function (voice, data, SMS, apps, Internet).

    • Gender neutrality & personalised outreach.

  • International m-gov examples (Yu & Kushchu):

    • Flood alerts (Malaysia/UK), blackout warnings (California), missing-person AMBER alerts (Germany), SMS tax declarations (Norway), mobile parking fees (Sweden), firefighting info downloads, anti-crime MMS (Italy), unemployment matching (Australia), etc.

  • South African m-gov showcase: Dokoza system for ARV/TB treatment data exchange in rural clinics.

Showcase ICT Solutions in South African Governance

  • Independent Electoral Commission (IEC):

    • Satellite WAN, barcode voter registration (18.4 million in 9 days), GIS for voting districts, 300 000 staff trained → won 2000 Smithsonian Award.

  • Constitution Drafting Website (mid-1990s): public submissions & drafts uploaded → enhanced transparency & participation.

  • Home Affairs National Identification System (HANIS): online birth/death registrations, smart ID card with biometrics (10-yr lifespan).

  • IEC e-procurement & SMS eligibility checker for voters.

  • DHA–SABRIC data-sharing agreement to curb ID fraud.

Legal & Policy Framework for e-Government in SA

  • Key instruments:

    • MISS 1996 (information security).

    • White Paper on Transforming Public Service Delivery — Batho Pele 1997.

    • Promotion of Access to Information Act 2 of 2000.

    • Digital Future IT Framework 2001; Public Service IT Policy 2001.

    • Electronic Communications & Transactions Act 25 of 2002.

    • Policy on Free & Open Source Software 2006.

    • Minimum Interoperability Standards 2007.

  • Institutions:

    • SITA (1999): procurement, integration, maintenance of gov IT, value-for-money.

    • GITOC: national & provincial CIO coordination.

Education, Training & Human Capital

  • Brain drain → scarcity of ICT professionals; public-to-private migration.

  • Matric maths pass requirement excludes many from ICT courses; low enrolment in Engineering/CS.

  • Stats:

    • 2007: only 22%22\% public schools had computers; <$14\%$ for teaching; only ~63%63\% adult literacy, 72%72\% youth (UNESCO 2012).

  • Dinaledi Schools Project (2002 → 500 schools by 2008): strengthen maths/science through ICT resources.

  • White Paper on e-Education 2004 goal: “every learner ICT capable by 2013.” Objectives: e-schools, teacher competence, admin modernisation, ICT literacy & knowledge creation skills.

  • Cyber Labs: 250 school labs by 2005, yet under-utilised due to non-integration into curriculum.

Service Delivery Satisfaction & Delivery Paradox

  • “Delivery paradox” (Blaug): objective improvements ≠ perceived satisfaction due to other factors.

  • Treasury Board of Canada’s 5 key drivers for 80%\approx 80\% satisfaction when acceptable:

    1. Timeliness.

    2. Knowledge/competence.

    3. Courtesy & comfort.

    4. Fair treatment.

    5. Outcome (needs actually met).

  • Regular ICT users perceive service quality ↑ compared to non-users.

Societal Expectations (“Zone of Tolerance”)

  • Expectation spectrum: Desired service (ideal) → Expected service (zone) → Adequate service (minimum acceptable).

  • Citizens demand value‐for‐money, speed, reliability, personalisation, integration.

Advantages & Disadvantages of ICT-Based Service Delivery

  • Intangible benefits:

    • ↑ trust, accountability, reputation.

    • Enhanced participation, transparency, joined-up gov.

  • Tangible benefits:

    • Staff time & cost savings, error reduction, 24/7 access.

  • Disadvantages:

    • Loss of personal warmth; tech malfunction blame; exclusion of poor/illiterate; privacy & security concerns.

ICT Security & Control

  • Traditional CIA triad: Confidentiality, Integrity, Availability.

  • Expanded requirements for e-gov (Marques et al.): Authentication, Authorisation, Confidentiality, Integrity, Traceability, Non-repudiation.

  • Emerging solution: Voice biometrics to replace PIN/password.

  • Tarimo: security dynamic & elusive; human element greatest threat → training & awareness essential.

  • Technology management practices (Caralli et al.):

    1. Prioritise resilience-focused assets.

    2. Protect via controls.

    3. Manage risk (identify–assess–mitigate).

    4. Manage integrity (access, config, change, release).

    5. Manage availability (maintenance, capacity, interoperability).

Causes of Public-Sector ICT Project Failure in Africa
  • Heeks “ITPOSMO” design-reality gaps:

    • Information, Technology, Processes, Objectives & values, Staffing & skills, Management systems, Other resources (finances).

  • Failure statistics (Heeks 2003): 35%35\% total failure, 50%50\% partial, 15%15\% success.

  • Additional causes (PM Solutions US study): unclear motivation, unmet needs analysis, competence gaps, underestimated time/funding, wrong programme choice.

  • Six cost classes of failure: direct, indirect, opportunity, political, beneficiary, future.

Artificial Intelligence & the Future of Judging (Case Study)

  • Milestones: term AI (1956), Deep Blue beats Kasparov 1997, evolvable hardware (EHW) allows self-optimising machines.

  • Prof Jaap van den Herik predicts by 2080 ICTs could judge court cases:

    • Legal reasoning follows codified rules ⇒ modelled in formal language for automation.

  • Debates: feasibility, ethical risks (bias encoding, lack of human empathy, accountability).

Technology as Mechanism for Extensive Service Delivery

  • Household computer ownership ↑ from 8.5%8.5\% (2001) → 21.1%21.1\% (2011).

  • Yet Internet access only 8.6%8.6\% households (2011).

  • Effective models: e-Filing (SARS), e-NaTIS (vehicle/licensing), social grant e-payments, SMS matric results, smart IDs.

Key Formulae & Figures (LaTeX Examples)

  • EGDI Africa =0.2780 < 0.4882 (world avg).

  • NRI SA score 3.873.87 vs Tunisia 4.124.12, Mauritius 4.064.06.

  • Failure rates: 35%35\% total + 50%50\% partial + 15%15\% success =100%=100\%.

Further Reading & References (Selected)

  • Heeks R. (2001, 2002, 2003) – e-gov & project failure.

  • Farelo & Morris (2006) – SA e-gov status.

  • Tlabela et al. (2007) – Mapping ICT Access.

  • Dutta & Bilbao-Osorio (2012) – Global IT Report.

  • Moodley (2007) – ICT4D discourse critique.

  • Tarimo (2006) – ICT security readiness.

  • Yu & Kushchu (2004) – Mobility value for e-gov.


These bullet-point notes consolidate every major/minor idea, definition, statistic, example, policy and theoretical concept from pp. 232–251 of the transcript, providing an integrated study guide on ICTs, e-government and service delivery in South Africa and beyond.