| Prof. Timothy M. Waema Publications |
| 1 | 2018 | Who Controls The Digital? Value Chains And The Challenges Of Connectivity For East African Firms
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In recent years, Internet connectivity has greatly improved across the African continent. This article examines the consequences that this shift has had for East African firms that are part of global value chains (GVCs). Prior work yielded contradictory expectations: firms might benefit from connectivity through increased efficiencies and improved access to markets, although they might also be further marginalized through increasing control of lead firms. Drawing on extensive qualitative research in Kenya and Rwanda,including 264 interviews, we examine 3 sectors (tea, tourism, and business process outsourcing) exploring overarching, cross-cutting themes. The findings support more pessimistic expectations: small African producers are only thinly digitally integrated in GVCs. Moreover, shifting modes of value chain governance, supported by lead firms and facilitated by digital information platforms and data standards are leading to new challenges for firms looking to digitally integrate. Nevertheless, we also find examples in these sectors of opportunities where small firms are able to cater to emerging niche customers, and local or regional markets. Overall, the study shows that improving connectivity does not inherently benefit African firms in GVCs without support for complementary capacity and competitive advantages.
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| 2 | 2016 | Leveraging HIV Advancement In The Light Of Tuberculosis And Malaria Using System Dynamics
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| 3 | 2016 | Context Of Mobile Phone Use And Its Effects On Smallholder Farmer’s Livelihood Outcomes In Kenya
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| 4 | 2016 | Understanding Mobile Banking From A Theoretical Lens: Case Studies Of Selected Kenyan M-Banking Products
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| 5 | 2015 | Understanding Mobile Banking From A Theoretical Lens: Case Studies Of Selected Kenyan M-banking Products
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| 6 | 2015 | Effects Of Heterogeneous Land Use/cover Types On River Channel Morphology In The Solo River Catchment, Eastern Uganda
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| 7 | 2015 | Using System Dynamics To Understand The Role Of Cofactors TB And Malaria In The Progression Of HIV
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| 8 | 2015 | ICT4D And Global Connectivity
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| 9 | 2015 | The Influence Of Trust And Risk In Behavioural Intention To Adopt Mobile Financial Services Among The Poor
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| 10 | 2013 | Towards An E-waste Management Framework In Kenya
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| 11 | 2013 | The Mobile Phone As The Tool To Redefine Savings For The Poor: Evidence From Kenya
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| 12 | 2012 | Application Of Technology Acceptance Model (TAM) In M-Banking Adoption In Kenya
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| 13 | 2012 | Factors Influencing Usage Of New Technologies In Low-income Households In Kenya: The Case Of Nairobi
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Purpose – Use of e-mail, the internet and mobile phones, collectively referred to as the “new technologies” in this paper, is influenced by various factors in low-income households. These factors, which range between individual, social, economic, environmental, cultural and knowledge, have not been explored fully, particularly in low-income households in Kenya. This paper aims to argue that access to the new technologies does not lead automatically to use thereof, since a combination of the factors determines if (and how) the technologies are used. Design/methodology/approach – This paper uses data collected through a survey conducted in 2010, which complemented the 2007 Research ICT Africa (RIA) data. The 2010 survey focused on three clusters based in Nairobi, a subset of RIA (2007). The three clusters are Ofafa 1 (A), Umoja II (B) and Riruta Satellite (C). Data from 40 households are used. Qualitative and quantitative data were collected from the households. Findings – Age, income, gender, education level, skills and marital status influenced usage of the new technologies in diverse ways. With innovations such as M-Pesa, the respondents who used the technology and were confident with the usage cut across education levels. Males used the new technologies more than females did. A possible reason for this may be found in a further finding which shows that males had acquired more years of education than had females. The implication of this is that if equal education opportunities were available for all, then the usage differences would be addressed across the gender divide. Originality/value – The paper uses the capability approach developed by Nobel laureate, Amartya Sen as the theoretical framework. A rigorous research design and methodology was used to collect and analyse the data.
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| 14 | 2012 | Mobile Interfaced Crops Diagnosis Expert System (MICDES): A Case For Rural Kenyan Farmers
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| 15 | 2011 | Waema, T.M. And Adera, E.O. (Editors), Local Governance And ICTs In Africa: Case Studies And Guidelines For Implementation And Evaluation
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| 16 | 2011 | Introduction. In Waema, T.M. And Adera, E.O. (Editors), Local Governance And ICTs In Africa: Case Studies And Guidelines For Implementation And Evaluation
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| 17 | 2011 | Waema, T.M. (2011), E-governance Assessment Framework. In Waema, T.M. And Adera, E.O. (Editors), Local Governance And ICTs In Africa: Case Studies And Guidelines For Implementation And Evaluation
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| 18 | 2011 | ICTs And Financial Management In Mavoko And Nyeri Municipal Councils, Kenya. In Waema, T.M. And Adera, E.O. (Editors), Local Governance And ICTs In Africa: Case Studies And Guidelines For Implementation And Evaluation
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| 19 | 2011 | Waema, T.M. (2011), Summary Of Findings And E-local Governance Roadmap. In Waema, T.M. And Adera, E.O. (Editors), Local Governance And ICTs In Africa: Case Studies And Guidelines For Implementation And Evaluation
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| 20 | 2011 | Policy Implications Of The Relationship Between ICT Access And Usage And Well-being: A Case Study Of Kenya
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| 21 | 2010 | Wausi, A.N. And Waema, T.M. (2010). Implementing IS In Developing Country Context: Towards Creating A Favourable Implementation Context
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| 22 | 2010 | Kizza, J.M., Muchie, M. And Waema, T. (2010). Reaching Out: Efforts To Build Sustainable African Research And Innovation Capacity
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| 23 | 2009 | Waema, T.M. And Musyoka, J.M. (2009). Shifting Shores: Investigating How The Shift From Electronic To Mobile Government Interacts With The Development Practice In Kenya.
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| 24 | 2009 | Waema, T.M., Mitullah, W. And Adera, E. (2009). Research In African E-Local Governance: Outcome Assessment Research Framework
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| 25 | 2009 | Dunckley, L., Camara, S.B., Abdelnour Nocera, J, And Waema, T.M. (2009). Socio-Technical Issues Of Participatory Design In The Developing World
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| 26 | 2009 | Waema, T.M. (2009). E-Governance Evaluation: Towards An Integrated Outcome Evaluation Research Framework
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| 27 | 2009 | Waema, T.M. And Mwamburi, C.M. (2009). Ex Ante Evaluation Of Information And Communication Technology Projects; Case Studies Of Kenyan Universities
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| 28 | 2009 | Waema, T.M. And Mitullah, W. (2009). E-Governance In Local Authorities In Kenya: Policy And Institutional Elements Of Implementation
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| 29 | 2009 | Waema, T.M. (2009). E-local Governance: A Case Study Of Financial Management System Implementation In Two Municipal Councils In Kenya
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| 30 | 2009 | Ex Ante Evaluation Of Information And Communication Technology Projects; Case Studies Of Kenyan Universities
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| 31 | 2009 | Innovative Design Approach For User Interfaces For Rural Farming Communities: The Kenyan Experience.
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| 32 | 2008 | Camara, S., Abdelnour-Nocera J., Luckin, R., Waema, T. (2008), Bridging The Global Digital Divide With Participatory Customisation.
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| 33 | 2008 | Abdelnour-Nocera J., Luckin, R., Waema, T. Culture As A Bottom Up Concept To Understand Diversity In Systems Production And Use.
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| 34 | 2008 | Mureithi, M., Waema, T., Wanjira, A. Finlay, A. And Schluep, M. (2008). E-waste In Kenya: Baseline Assessment.
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| 35 | 2008 | Camara, S.B., Dunckley, L.,Abdelnour-Nocera, J. And Waema, T.M. (2008) Cross-Cultural Participatory Design In The Developing World.
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| 36 | 2008 | Walker, K., J. Underwood, T.M. Waema, L. Dunckley, J. Abdelnour-Nocera, R. Luckin, C. Oyugi And S. Camara. A Resource Kit For Participatory Socio-technical Design In Rural Kenya .
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| 37 | 2008 | Waema, T.M. (2008), The Development Of National ICT Policy In Kenya; The Influence Of Regional Institutions And Key Stakeholders.
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| 38 | 2008 | Bridging The Global Digital Divide With Participatory Customisation.
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| 39 | 2008 | Cross-Cultural Participatory Design In The Developing World.
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| 40 | 2008 | Culture As A Bottom Up Concept To Understand Diversity In Systems Production And Use.
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| 41 | 2008 | The Development Of National ICT Policy In Kenya; The Influence Of Regional Institutions And Key Stakeholders.
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| 42 | 2008 | E-waste In Kenya: Baseline Assessment.
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| 43 | 2008 | A Resource Kit For Participatory Socio-technical Design In Rural Kenya
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| 44 | 2007 | Waema, T.M. And Mitullah, W. (2007), E-governance And Governance: A Case Study Of The Assessment Of The Effects Of Integrated Financial Management System On Good Governance In Two Municipal Councils In Kenya.
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| 45 | 2007 | Waema, T.M. (2007), 2007 Kenya Telecommunications Sector Performance Review: A Supply Side Analysis Of Policy Outcomes.
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| 46 | 2007 | Waema, T.M. (2007), A Conceptual Framework For Assessing The Effects Of E-government On Governance.
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| 47 | 2006 | Waema, T.M. And Bowman-Ngaruiya, W. (2006), The Institutional Structures And Models For Implementing The Kenyan National ICT Plan. In Outa Et. Al (Editor), Mainstreaming ICT: Research Perspectives From Kenya
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| 48 | 2006 | Waema, T.M. (2006), SME E-access And Usage In Kenya. In Christopher Stork And Steve Esselaar (Editors): Towards An African E-Index: SME E-access And Usage Across 14 African Countries, ResearchICTafrica.net, ISBN: 10 0-620-37593-0
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| 49 | 2006 | Towards Development Of A Model Expressing A Set Of E-learning Variables.
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| 50 | 2005 | Omwenga, E.I., Waema, T.M., & Eisendrath, G.P.C., Libotton A. (2005). Development And Application Of An Objectives-Driven Econtent Structuring And Deployment Model (ODC-SDM),
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| 51 | 2005 | Waema, T.M. (2005), A Brief History Of The Development Of ICT Policy In Kenya. In Etta, F.E. And Elder, L. (eds.), At The Crossroads: ICT Policy Making In East Africa
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| 52 | 2004 | Development And Implementation Of A Human Resource Management System In The University Of Nairobi: Analysis From A Social Informatics Approach.
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| 53 | 2004 | An Integrated Regional ICT Policy For The East Africa Community (EAC): Impact On A Possible Information Revolution.
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| 54 | 2004 | A Novel Framework For E-Commerce Diffusion And Adoption And Supporting Digital Documentation Options
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| 55 | 2004 | Final Report For The Universal Access To Communication Services: Development Of A Strategic Plan And Implementation Guidelines
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| 56 | 2004 | A Model For Introducing And Implementing E-learning For Delivery Of Educational Content Within The African Context.
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| 57 | 2002 | Omwenga E.I., Waema T. M., Eisendrath G.E. (Nov. 2002). Modelling An E-learning Infrastructure With A Content Calibrator Within A Resource-constrained Environment.
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| 58 | 2002 | Omwenga, E.I., Waema, T.M. And Eisendrath, G. (2002), Modeling An E-learning Infrastructure With An Nstructional Content Calibrator And Advisor,
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| 59 | 2002 | ICT Human Resource Development In Africa
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| 60 | 2001 | An Asynchronous Framework For A Flexible Web-driven Courseware Development And Learning Environment
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| 61 | 2000 | Waema, T.M. (2000) Information And Communication Technology In The University Of Nairobi,
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| 62 | 1999 | Development Of A Business Process Outsourcing Industry In Kenya: Critical Success Factors; IDRC
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| 63 | 1999 | Development Outcomes Of Internet And Mobile Phones Use In Kenya: The Households' Perspectives
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| 64 | 1999 | Previous Article.Icon: Print.Table Of Contents.Next Article.Icon: . Factors Influencing Usage Of New Technologies In Low-income Households In Kenya: The Case Of Nairobi
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Purpose – Use of e-mail, the internet and mobile phones, collectively referred to as the “new technologies” in this paper, is influenced by various factors in low-income households. These factors, which range between individual, social, economic, environmental, cultural and knowledge, have not been explored fully, particularly in low-income households in Kenya. This paper aims to argue that access to the new technologies does not lead automatically to use thereof, since a combination of the factors determines if (and how) the technologies are used. Design/methodology/approach – This paper uses data collected through a survey conducted in 2010, which complemented the 2007 Research ICT Africa (RIA) data. The 2010 survey focused on three clusters based in Nairobi, a subset of RIA (2007). The three clusters are Ofafa 1 (A), Umoja II (B) and Riruta Satellite (C). Data from 40 households are used. Qualitative and quantitative data were collected from the households. Findings – Age, income, gender, education level, skills and marital status influenced usage of the new technologies in diverse ways. With innovations such as M-Pesa, the respondents who used the technology and were confident with the usage cut across education levels. Males used the new technologies more than females did. A possible reason for this may be found in a further finding which shows that males had acquired more years of education than had females. The implication of this is that if equal education opportunities were available for all, then the usage differences would be addressed across the gender divide. Originality/value – The paper uses the capability approach developed by Nobel laureate, Amartya Sen as the theoretical framework. A rigorous research design and methodology was used to collect and analyse the data.
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| 65 | 1998 | Omwenga, E.I. And Waema, T.M., (1998) An Asynchronous Framework For A Flexible Web-Driven Spatial Courseware Development And Learning Environment,
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| 66 | 1998 | Communication Systems: Business Opportunities, Challenges & Strategies
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| 67 | 1995 | Waema, T.M., (1995), Implementation Of Information Technology Projects & Economic Development In Developing Countries: Issues, Problems And Strategies,
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| 68 | 1995 | Trends In Informatics Education
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| 69 | 1994 | Walsham, G. And Waema T.M., (1994), Information Systems Strategy And Implementation:
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| 70 | 1993 | Informatics In Higher Education-Kenya Case Study.
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| 71 | 1992 | Rodrigues, A.J. And Waema T.M., (1992), Computer Based Information Systems In Their Social Context:
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| 72 | 1992 | Computer-based Information Systems In Their Social Context: Use Of Different Perspectives
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| 73 | 1992 | Communications Research For Development: The Experience Of The Nairobi ESANET Node
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| 74 | 1992 | Kenyan PACSAT Licensing Experience.
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| 75 | 1990 | Waema, T.M. And Walsham, G., (1990), Information Systems Strategy Formulation,
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| 76 | 1990 | Waema, T.M. And Walsham, G., (1990), Information Systems Strategy Formation In A Developing Country Bank,
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| 77 | 1990 | Error Estimates For Recursive Pad
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| 78 | 1989 | Information Systems As Social Systems
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| 79 | 1989 | Waema, T.M. And Walsham, G., (1989), The Formation Of IS Strategy: A Case Study Of A Building Society
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| 80 | 1989 | The Formation Of IS Strategy: A Case Study Of A Building Society
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