A CONCEPTUAL FRAMEWORK

FOR THE STUDY OF THE IMPACTS OF THE INTERNET

John A. Daly

A conceptual framework is offered for consideration of the impacts of the Internet in Africa. It is based on the penetration of the Internet, its utilization, and the impacts that result. Alternative frameworks in use are discussed in the Appendix. The proposed framework is diagrammed in Figure I.

Figure I

This framework is in part a response to the question, "what will the Internet mean for development?" "Development" in this context refers to broad developmental issues such as economic growth, development of participatory governance systems, improvement of health and welfare, improved standards of living, reduction in poverty, and improved knowledge systems. It seems likely that the Internet will be very widely used, and its effects will be felt broadly in many sectors and in many social groups. On the other hand, the Internet will be used far less in Africa than in the United States and Europe, its effects therefore more subtle and less evident; therefore, approaches used for the study of the major impacts of the Internet in the U.S. and Europe may not work in Africa.

Yet, even in Sub-Saharan Africa with more than one million people connected to the Internet already, measurement of the developmental impacts of the Internet will be a large and complex task, far beyond the scope of any one study. The following conceptual framework is offered as a way of interrelating many studies of impacts to form an overall understanding of the effects of the Internet on development in Africa. It is a conceptual framework in support of a jig-saw puzzle approach - piecing together a large scale picture of development impacts from many small studies, each giving a portion of the picture.

Definition: The term "Internet" is used in different ways. The core definition deals with the interconnection of computer networks using a standard packet switching protocol for communications. More generally, people refer to the global network of computers which communicate via the Internet protocols as the Internet. Note, however, that these computers are used for many purposes, and not just for Internet applications; the telephone system over which Internet messages pass also has applications beyond the Internet. Indeed, considering an African organization which buys some computers and gets connected to the telephone line to use the Internet, there may be no practical way to distinguish the impacts of "the Internet" from the impacts of "the telephone" and those of "computer technology". The following framework is perhaps easily modifiable for application to the study of the impacts of "information and communications technology" as of "the Internet". It is strongly suggested that those seeking to apply the framework be specific as to the system whose impacts they seek to understand.

Penetration: "Penetration" refers to how widely the Internet is distributed in countries. When the Leland Initiative started in 1995, many countries in Africa were not connected at all to the Internet. Now capital cities are connected, but few secondary cities. The term "capillarity" is used in some countries to discuss the connectivity to citizens in areas which have Internet services (metaphorically comparing the "last mile" network of communications to Internet to the system by which capillaries carry blood from arteries to tissue and back to the veins in the body.)

The penetration of the Internet may differ for different applications. Thus more people may have e-mail service than have the possibility of surfing the world wide web. Indeed in schools in Africa e-mail mailboxes are provided to faculty and students who have no other access to the Internet. Few people in Africa apparently have access yet to Internet telephone or Internet radio or other more recent Internet applications.

Bandwidth availability is also considered as an aspect of penetration. Thus it is quite a different thing to have access to the Internet over a poor quality telephone line than over a high bandwidth link. International bandwidth, considered in terms of the available kilo bytes per second per Internet account in international satellite and cable connections is also a useful measure.

We will also consider the concept of "penetration" to include aspects of content. Content once the exclusive domain of print media (e.g., newspapers, journals, magazines, brochures) is now available via the Internet (e.g., the world wide web). Books are available in electronic form. Person-to-person communications occur increasingly via the Internet (e-mail, Internet-telephone). One-to-many communications, once occurring via radio and television, are now beginning to occur via e-mail, Internet radio, and Internet video. Thus the portion of information that is now available or communicated via the Internet is an indicator of penetration into the content of the information and knowledge systems of a country. As one considers content, one can focus on quality as well as quantity of information.

Economic theory suggests that the penetration of the Internet can be analyzed in terms of supply and demand for services and content. Indeed, considerable effort has gone into encouraging policy changes to permit competition among Internet service providers with the intent of making such market forces work. Where competition exists, one can look at the equilibrium point between supply and demand.

However, the supply of Internet services in Africa is limited not only by market forces, but by the infrastructure supporting the Internet. Those without access to telephones and electric power supply generally can not get access to the Internet. The relevant infrastructure is, however, more complex. Thus, the Internet depends on the availability of personal computers, and this availability in turn depends on an infrastructure for the sales and maintenance of computers as well as systems for the distribution of software, computer training, etc.

Similarly, demand for Internet services is affected by a number of social and economic factors, not least of which are per capita income and its distribution. The demand is also limited by general level of education, levels of competence in computer skills, etc.

The policy environment is also emphasized in the proposed framework, including privatization of Internet Service Providers, the numbers of such ISPs allowed to exist in the country, the number of satellite and cable connections from national to global providers, regulation of content on and transmitted through the Internet, pricing policy, taxation of Internet services and tariff policies on computers and telecommunications equipment.

Utilization(1): Having a computer on one’s desk with connection to the Internet does not mean that one uses the computer nor the Internet, much less that one uses them intensively or well. The utilization of Internet services depends on the capacity to use available services. Such capacity might be measured in terms of the number of years experience one has using computers, the number of applications packages over which one has mastery, as well as more general characteristics such as general levels of education and intelligence.

Direct measures of use of the Internet include numbers of hours per day that users spend at their terminals, numbers of emails they send and receive, and web sites that they visit. In some cases data is available such as data flow through international Internet gateways. There are also measures of the intensity of use such as "flow", the state of intense concentration and participation observed in some users. Other measures could be developed of the quality of use, based on understanding of web browsers and search engines, and efficiency and success in carrying out specified tasks requiring the Internet.

Utilization, whatever the level of penetration of the Internet, is conceived as dependent on environmental and policy factors. Thus there has been considerable discussion of factors within African scientific and technological culture which limit the propensity of African scientists to seek information via the Internet, even when it is available. Similarly, it has been suggested that traditional and hierarchical organizations, access to information resources and access to communications channels are restricted as a measure of control; faced with such policies, subordinates may not utilize available Internet connections, while superiors may also not utilize them due to heavy demands on their time, or cultural perceptions that they not do hands-on work.


  • "Use" means the actual use of the Internet, while "utilization" considers the actual use as compared of the available resources.
  • Impacts: The framework takes a reductionist approach. Large systems are seen as composed of subsystems. The impact of the Internet is considered for each system to be a composite of the impacts on the subsystems, the impacts on the linkages among subsystems, and the impacts of the learning or self-organizing that occurs as the system adapts to the Internet. Moreover, each system has the potential to change the response of its subsystems to the Internet.

    Our model differs from most systems models in that elements may not be partitionable, so that each belongs to one and only one system. Thus a person who works at home via Internet linkage with an enterprise, may use the Internet also to a link to a professional association, and may also use the Internet as a consumer (via E-commerce), as a voter (and participant in political institutions). For analytic purposes it may be useful to divide these roles, but in practice it may be impossible to say which role is dominant in any given session on the net.

    The most fundamental elements that the framework considers are impacts of the Internet on individuals. At this point, the focus of the previous discussion of utilization comes to fore. A dose-response curve is assumed, where the more and more effectively the individual uses the Internet, the greater the impact that the Internet will have on that person.

    Building from the individual, one might look for impacts on increasingly complex groups: work groups, then organizations such as private voluntary organizations, businesses, schools, and health centers. These are all formal organizations, and there are established approaches to observing the impacts of information technology on formal organizations. Similarly, in focusing on a work group within an organization, one might look at the way changes in organizational policies in response to the introduction of the Internet affect the responses of the work group. It is noted, however, that the very idea of the formal organization as an institution is changing, perhaps in part as a result of the changes in formal organizations occurring in conjunction with the development of the Internet(2).


    It is suggested, moreover, that impacts of the Internet on groups of people defined by other institutions might be equally or more interesting than those on formal organizations. For example, one might look at the impact of the Internet on the family or the community; on a religious community, or on a research network.

    Discussion of the impact of the Internet on the family may seem rather stretched. However, in the United States, the Internet is allowing many to work at home, E-commerce is changing the buying habits of families, and local-area networks within the home are on the horizon all of which will probably be used by families as they change their behavior. Few homes in Africa are connected, but even in Africa there appears to be a significant market for Internet services among expatriates who used the technology to communicate with their families in other countries. The Internet provides an equally cost-effective means for Africans living abroad to communicate with their relatives at home. Thus, for the wired, the geographic distances between family members are bridged by the Internet, people may be more willing to move to another city or country leaving their extended family behind, and the institutional processes within the extended family may be changed.

    More complicated systems might include markets, in which the subsystems would be businesses linked through the market. The impact of the Internet on a market might be in part the result of the Internet being used to provide market information and support market transactions, and in part resulting from the impacts of the internal use of the Internet in firms that buy and/or sell in the market. Indeed, firms exposed to new market forces created by the Internet may behave differently, and may use Internet technology internally differently than they otherwise would. One could focus on the evolutionary changes in the market as firms that were more efficient (in part due to better use of the Internet) grew, and those less efficient shrank; as firms learned to participate in Internet mediated transactions, etc. Further, as enterprises chose to buy in sell in one versus another market (as markets change in size and efficiency due to their use of the technology), there may be an evolutionary growth or substitution of markets.

    In theory, the approach we took would allow further aggregation of impacts in still larger social and economic systems. If we looked at education, the approach would seek to look at the impacts of the Internet on(3):

    One would seek to understand the overall impact in terms of the aggregate of impacts on these subsystems, on the linkages among them, and on the way in which the educational system evolves in the Internet era.

    Note that as one studies systems, one can begin to understand the impact of non-use of the Internet as well as of use of the Internet. Thus in the example mentioned above, the enterprises competing in a market that do not use the Internet may be seen to be at a comparative disadvantage with those which do. Indeed the disadvantaged firms may see their market share deteriorate and their production costs rise as eventual impacts of their non-use of the Internet.

    The impacts of the Internet, even given a specific pattern of penetration and use, are also seen to depend on environmental and policy factors. For example, organizations are more able to invest in the social capital needed to take advantage of new ICTs in times of economic expansion than during recessions. Political uncertainty also interferes with achieving good results from technological innovation. Policies also count. Thus government policies which provide industrial extension services or promote industry-academia cooperation may help enterprises obtain know-how needed to maximize benefits from their use of the Internet. Policies promoting primary health care may help health agencies maximize benefits from telemedicine.

    Limitations of the Framework: The proposed reductionist model has drawbacks. It is certainly more manageable to measuring the impacts of the Internet in smaller rather than larger systems. Even in Africa, with only a million people on line, it is hard to see how one would use the approach to quantify the impacts of the Internet on national economies or on national educational systems. What would be the sampling strategy? How would one aggregate information?

    Thus at the level of national or regional systems, the framework is more useful as a system for qualitative analysis and the extraction of qualitative lessons than for quantitative analysis.

    Note also that complexity theory has demonstrated that in complex adaptive systems, small [sometimes random or adventitious] changes in the functioning of large numbers of elements results in emergent systems properties and behaviors that are very difficult to foresee. Thus, it is very difficult to predict the equity impact of the Internet in Africa: it seems clear that the affluent and powerful in Africa will have greater access to the technology, but it may be that the cumulative beneficial impacts in public health, nutrition, and education will produce overall gains in equity.

    Leland Objectives versus the Framework Categories: The conceptual framework is intended specifically to provide an context for discussion of the Leland Initiative which focuses on three objectives: providing a friendly policy environment for the Internet, helping to provide pipes between African countries and the GII and expanding the NIIs, and promoting use of the Internet by people in developmentally useful ways. The following matrix suggests how Leland activities are concentrated in the categories defined by the framework.

     

    Conceptual Framework Categories

    Leland

    Strategic Objectives

    Penetration

    Use

    Impact

    Policies

    • friendly environment for the Internet
    • Cost based pricing
    • computer tariffs
    • etc.
  • freedom from regulation of content
  • promotion of computer training
  • education
  • Internet utilization promotion policies (education, health, government)
  • Pipes

    • new gateways
    • rural areas
    • full ISP services
     
    • Internet employment
    • GDP in Internet services

    People

     
    • As individuals
    • Users by sector (.gov, .edu, .org, .com)
    • Users by Institution
  • Industry
  • Commerce
  • Health Sector
  • Education
  • Government
  • Civil Society
  • etc.
  • Studies under this conceptual framework will tend to concentrate in the occupied boxes in the matrix. It should be noted, however, that the frameworks are simplifications. Thus, the ability to offer financial and technical assistance to construct a VSAT gateway can be a helpful inducement to encourage policy changes, as can be the offer of appropriate training in Internet use.

    Studies done by others may be crucial in developing a comprehensive understanding of the effects of the Internet in Africa, and they may not be limited to the annotated areas in this table. Thus another agency might easily focus studies on policies to promote use of existing NII, or to encourage organizations to improve the impact they do make of the Internet. Indeed, as mentioned above, studies complementary to those carried out by the Leland Initiative will be required to gain general knowledge and understanding of the process by which the GII develops and contribute to large socio-economic development.

     

    Appendix 1

    Published Frameworks for

    Studying the Effects of the Internet and Information

    in Developing Countries

    There are a number of sources that deal with the impacts of information and communications technology (ICT) in developed countries.(4) The body of work done by the Center for Research on Information Technology and Organizations is especially noteworthy.(5) Similarly, there are studies that focus on the impacts of ICT in developing countries.(6) Robin Mansell’s overview of knowledge societies is useful, and Chapter 2 which deals with indicators of participation gives useful insights into the penetration of the Internet.(7)

    William Wresch provides an implicit framework.(8) It uses a transmission model to deal with information deficits in Africa. Source problems are discussed, including those relating to information sources in the media, personal contacts (in the heads of people with whom one might converse), organizations, professional associations, and commerce. Transmission problems are discussed in terms of the disconnected (poverty, lack of infrastructure), political control, and crime. Reception problems are discussed in terms of the educational deficit in Africa, the psychological problems the people have in accepting and accommodating to new information, and noise—the problem of extracting useful information from the masses of data increasingly available.

    Internet Counts Framework: The U.S. Agency for International Development supported the National Academy of Sciences to develop a framework for evaluating the impact of the Internet in Africa.(9) That study, referred to hereafter as "Internet Counts" has been adapted in the discussion above.

    The Internet Counts framework seeks to account for both direct and indirect impacts of the Internet. It notes that impacts may be negative as well as positive, unintended as well as intended. If focuses heavily on indicators that can be used, and many quantitative indicators are identified. It is noted however that qualitative indicators are possible, and indeed may be quite important for understanding the impacts of the Internet in Africa at this time.

    Internet counts notes the attribution problem, which is the difficulty in attributing causality of changes in the functioning of institutions to the influence of the Internet. It suggests the importance of the impacts of "Nonuse" of the Internet. It gives particular importance to the need for qualitative studies to clarify the impacts of the Internet in African institutions which may be quite different than those in countries where the Internet is more developed and impact studies more extensive.

    The Internet Counts framework starts with a consideration of indicators of Supply and Demand of Internet services. The penetration of the Internet is related to the environment for Internet use; environmental indicators include those related to the economy and infrastructure, as well as to the policy and regulatory environment. There is a discussion of the quantity quality of Internet service, and of its sustainability. Indicators of Internet use, cost and content are discussed.

    The Framework then moves to indicators of Internet impacts. The approach is reductionist, moving from impacts involving small numbers of people to impacts on larger institutions involving larger numbers of people (and smaller institutions as components). Thus Internet Counts begins with discussion of the impacts on formal organizations, how they are perceived, and especially on organizational decision making.

    The framework then moves to other institutions, such as the family, the community, the market, and the association. Indicators at the sectoral level are discussed, such as sectoral use and diffusion of Internet, and Internet impacts on sectors and their related developmental goals. The discussion focuses on three specific sectors: Education, Private Sector, and Government and Civil Society.

    Technology Transfer Model(10): An alternative framework approaches the impacts of information and communications technology from a technology transfer perspective. It is illustrated in the following diagram.

    Technology is seen as embodied in goods, techniques, organization and as also available in unembodied forms. Thus the Internet involves technology embodied in:

    The technological system includes sources of technology, systems for the diffusion, dissemination and transfer of the technology, and users of the technology.

    In keeping with science and technology studies terminology, factors influencing the technology system are divided into two classes: internal, relating to the internal logic of science and technology, and external, relating to the effects of the larger socio-economic system in which the technology system is embedded.

    Technological factors relating to the Internet would include, for example:

    Scientific factors relate to the fact that the application of technology is limited by scientific understanding. Thus the information and communications technology have been adequate for several decades to predict the effects of the El Niño-Southern Oscillation (ENSO) on African climate, but the scientific understanding of these processes were inadequate to identify what data should be collected by remote sensing nor how that data should be analyzed.

    Institutional factors relate to the ways formal organizations and markets function. Thus organization theory suggests that there is a predictable process by which new information technologies are introduced into and diffused through formal organizations. Similarly, it is known that market imperfections can affect the way in which technologies are disseminated through markets.

    Economic determinants include the ratio of costs of a new technology to the benefits derived from that technology as an underlying force driving technology diffusion. Appropriability theory suggests that either each participant in the chain of technology diffusion must be able to appropriate a portion of the benefits from the use of the technology justifying participation in the diffusion, or that subsidies will be required. Network economics suggests that increasing returns to expansion of Internet networks, as the benefits are dependent on the number of people using the network (Metcalfe’s Law). Efficiency theory suggests that if markets are efficient, individuals will adopt new technologies as soon as information exists demonstrating it is profitable to do so.

    Social construction of technology provides another analytic approach. It is recognized that the use of a technology depends on what people construe to be the use of the technology (as the wheel was construed as useful for toys by pre-Columbian Americans or the steam engine by ancient Romans, but neither the Romans construed the steam engine nor the native Americans the wheel as useful for transportation). The ways an individual’s construes the Internet depends on social processes, and thus are affected by the social groups with which the individual is affiliated. Doctors will tend to construe the Internet in terms of health service delivery, but do so differently than nurses or patients; merchants will tend to construe it the technology in terms of commerce but to do so differently than their customers; higher management will tend to construe it differently than middle management, shop floor workers, or clerical workers; men will construe it differently than women; one ethnic group may differ from another.

    Political analysis can include factors such as political ideology, the distribution of power within a political system, or issues such as post-colonialism or neo-imperialism.

    The framework sees the dissemination and ultimate impact of new information and communications technologies as the result of the interplay of these internal and external determinants. Qualitative analysis can be used within this framework to predict outcomes such as the equity impact of new technologies.

    Acacia Telecenter Evaluation Framework: The IDRC’s Acacia Project is undertaking an evaluation of telecenters as the first step in an effort to understand the effects of information and communications technology in Africa. An initial version of a framework for that evaluation has been prepared.(11). The framework proposed seeks to create comparable data across Acacia projects, while leaving flexibility to the research teams to adapt to the needs of specific situations. The main research approaches proposed to be applied are:

    1. Household survey

    2. Telecenter operator monitoring

    3. Telecenter user surveys

    4. Key informant interviews

    5. Focus groups

    6. Institutional reviews

    7. Ethnographic case studies

    8. Participatory research

    9. Electronic exchanges

    The present Acacia telecenter projects is to provide community level data on some 50-60 communities with telecenters (40 in South Africa, 14 in Senegal, 2 in Mozambique and 3 in Uganda) and approximately 50 communities (almost all in South Africa) without telecenters.

    Discussions are also underway about support for university students to undertake community case studies in the pilot telecenter communities. The funding mechanism proposed is a small grants project funded by IDRC as part of Acacia.

    IDRC Framework: A two phase effort has been conducted by the IDRC to study methods for the analysis of the impact of information. The first phase resulted in the publication of Measuring the Impact of Information on Development(12). Its approach focuses on the information service provider and user, and thus is limited to the first Much like the Logical Framework approach, this book suggests the following:

    Inputs

    Outputs (Information Service Provider)

    Usage (actual and potential User)

    Outcomes (consequences of use and non-use; Beneficiary)

    Domain (environmental characteristics; Donor)

    A second book(13), the proceedings of a conference sponsored by the program, noted the impact assessment methodology consisted of first seven prerequisite steps:

    1. Define the user community.

    2. Define the development issue and program to which the information activity or project is contributing.

    3. Identify the main patterns of operation of the information life cycle and the factors that influence its effectiveness for the defined user community and development issue.

    4. Describe the target audience to whom the findings will be directed.

    5. Describe the information use environments of the user community and the target audience.

    6. Set up standard guidelines for collecting, analyzing, interpreting, and presenting anecdotes and other data.

    7. Assemble baseline data.

    Next, working collaboratively with representatives of the various groups of including end-users and target audiences:

    8. Determine which primary objectives are being served and their outcomes.

    9. Develop a hierarchy of the objectives or outcomes.

    10. Define corresponding outputs and the required inputs.

    11. At each level of the hierarchy, identify critical factors that are either "informational" in nature or are information-dependent.

    12. Define the indicators in the framework that would show that the appropriate information input is secured and improved.

    The key features of this preliminary framework have been summarized as follows:(14)

    This framework was used in four studies.(15) The principal investigator reports(16) :

    While the projects did their best to meet these requirements, circumstances and their special nature prevented them to fully do so. Items (three and four) above were especially ill served, when not fully overlooked.

    The experience is further described as follows(17):

    The variations in the concept of impact and methods for its assessment, that is the interpretation of the "preliminary framework," went far beyond what the peculiarities of each project could justify. Even the editor of the Phase 1 report was not in a position to strictly follow its guidelines.

    This comment is made in the context of efforts to evaluate impacts that were added later to existing projects, and may be as much a comment on the need for prospective impact studies as a critique of the feasibility of the approach.

    Press Framework: Larry Press and his colleagues have developed a framework in their program to study the diffusion of the Internet.(18) It focuses on the nation as a unit of analysis, and characterize the state of the Internet along six dimensions (each dimension has five ordinal values from zero [non-existent] to four [highly developed]):

    The utilization of these scales presented in the form of national "footprints" can be seen in the following figure(19):

    The model also includes a set of determinants:

    The framework has been applied in studies in 13 countries, none in Africa. Questionnaires are available implementing the framework(20).

    Pimienta Model: In a brief paper(21), Daniel Pimienta gives the following dimensions for his model of the impacts of the Internet. He assigns values from zero to five through a subjective scale, and providing data for three regions of the Dominican Republic and comments on connectivity for Haiti and the Dominican Republic.

     

    Topic

    Comments

    International Connectivity

    International bandwidth in relation to the number of users. Regional and subregional ties.

    National Connectivity

    Possibility of access from every point in the country. Backbone. Affordability of Service. Management of the National Domain

    Capillarity

    Real possibility of access of each individual and social group. Decentralization (number of nodes per inhabitant)

    Institutionalization I

    - Strategy of access to the Internet by sectors: GOV, EDU (primary, university), ORG, MIL.

    - Organization of ISPs, level and quality of services, regulation.

    Users

    Quantity. Percent of users trained, producers, organized in groups, en communities.

    Content

    Quantity, quality and variety of information resources of the country.

    Institutionalization II

    Policies of training of users and producers of information by sector

    Applications

    - Existence of applications by sector: education (primary and university), health, government, commerce,…

    - Application policies and impacts by sector.

    Social Impact

    Changes in paradigms and courses followed at the individual and collective levels.

     

    The Lanfranco Meta-Level Framework(22) : In the model information and communication technologies join to produce an electronic venue which supports virtual organizational structures and virtual workspaces. These virtual structures and workspaces combine with literal structures and workspaces to produce real work venues and organizational structures which incorporate elements of the virtual and literal.

    The meta-framework, is to be applied at the:

    The meta-framework treats ICT as operating within and between four quadrants of a representation of the virtual workspace, representing: administration, research and learning, products/services, and communications

    (Figure 2).

    Within an entity's electronic workspace, ICT operates across three virtual domains:

    ICT is seen to provide the entity with three important (potential) capacities:

    The meta-framework includes another level of complexity, termed "zoning". Each quadrant (administration, research/learning, product/services, and communications) is seen as linked with itself and each other quadrant via each of the three domains. This leads to a complex matrix of possible interactions.

    The meta-framework suggests a standard set of questions for each component of the entity, questions with regard to ICT and the entity's mission, ICT and organizational structure, and ICT and work process. These questions can be asked with respect to the component’s relations with each of the other components in the entity, and its uses of the communications corridor. The meta-framework is seen as an aid to linking project outputs, results and impacts to the role played by ICT. Consequently it results in checklists such as the following:

    How is the Email domain used for:

    How is the Group Work domain used for:

    How is the Digital Object domain used in:

    The Graham Study(23): A brief study, based on desk review of files and interviews of project officers, was recently conducted by Michael Graham for the Acacia program. This study sought to answer eight questions about 13 projects. It is described as being based on the framework proposed by Sam Lanfranco, described above. The questions were:

    1.Have IDRC program activities: influenced how ICTs fit into the development plans and strategies of other agencies; fostered the wider use of ICTs and a pro-ICT attitude among all stakeholders — peoples, institutions, or governments; or stimulated relevant ICT policy development?

    2.Have ICTs encouraged new types of organizations or new forms of social interaction?

    3.Have IDRC projects that involve ICTs been able to develop the human and institutional resources necessary to support the adoption of ICTs?

    4.Have ICTs helped overcome barriers to development such as language, culture, and distance?

    5.Have ICTs promoted new and innovative solutions to development problems?

    6.Have ICTs helped to empower individuals through access to information and affordable and timely communication capabilities?

    7.Have IDRC projects that involve ICTs been able to encourage community involvement in the creation and use of these new technologies?

    8.Have ICTs played a role in creating jobs or other forms of economic activity?

    Framework for the Study of Civil Society Organizations: Fundación Acceso(24) has proposed a methodology for measuring the impact of the Internet on civil society organizations, which is highly informed by the Lanfranco approach and that of Internet Counts. It consists of three sections

    1. Understanding the experiences of Civil Society Organizations (CSOs) in adopting the Internet focuses on the following themes:

    In addition, general background information about each organization are to be collected in order to classify organizations and their experiences according to organizational size, type, mandate, functions, activities, location, and other basic characteristics.

    2. Assessing the impact of the Internet on an organization's

    mission performance by considering the following five major classifications of Internet activity:

    Specific indicators of organizational performance are to be developed within the following general areas:

    The research team was to analyze patterns in the impacts of the Internet on the organizations studied, and aggregate these observations to the sectoral level and societal levels. The latter level of analysis will be strengthened as each new sector is studied.

    2. Assessing the impact of the Internet on internal organizational capacities in the following general areas:

    Adaptive capacity

    Human resources: staff and board of directors

    Management

    External co-ordination

    Financial sustainability

    The research team was to analyze sectoral patterns in the ways that the Internet develops organizational capacities, in order to establish the overall impacts of the Internet on

    organizational capacity and structure for the CSO sector being studied.

    The Lefebvres’ Framework: The IDRC has also supported work which developed a framework for evaluation of the impact of information technologies on small and medium enterprises in developing countries.(25) That work included consideration of the characteristics of the technology, factors which affect the adoption of the technology by the enterprise, with special attention to characteristics of the decision making relevant to the adoption, and the impacts of the adoption. The framework is outlined below:

    I. Factors Affecting Adoption

    A. Internal Factors Relevant to the Firms Adoption of ICTs

    1. Firm's past experience

    2: Firm's characteristics

    3. Firm's pursued strategy

    B. External Factors Relevant to the Firms Adoption of ICTs

    1: Industry characteristics

    2: Macroeconomic environment

    3. National policies

    II. Characteristics of the Decision-making Process

    A. Influence of internal proponents

    B. Influence of external proponents

    C. Availability of technical information

    D. Perceived characteristics of an IT application

    E. Justification process for the adoption of an IT application

    F. Operational measures for characteristics of the decision-making process as a prime adoption factor

    III. Impacts of Adoption

    A. Relationship between IT and productivity

    B. Impact of IT on key competitive dimensions

    C. Impact of IT on performance

    D. Impact of IT on work and employment

    E. Operational measures for the impacts of IT

    One of the elements in the Lefebvres’ framework included a consideration of the effects of information technology on the functions of the enterprise. Production and operations, Marketing, Finance, Accounting, Human-resource management. A small study has utilized this framework (with five level ordinal indicators) to estimate the impacts of e-mail and the world wide web on manufacturing and financial service firms in 15 countries.(26) This framework, within a larger framework somewhat comparable to the Lefebvres’ has been used to study ICTs in businesses in India.(27)

    The CTA Model: The Technical Centre for Agricultural and Rural Cooperation (CTA) has developed a framework for assessing the impact of information and communication management on the performance of organizations forming national agricultural systems (NAS) (28). It is informed by, but a simplification of the Menou’s approach described above, focusing on organizational rather then more general developmental impacts. The following figure shows the entity in which the impacts are to be analyzed in its context.

    The framework focuses on the impact of information on organizations in the following categories:

    Program definition and effectiveness are assessed in relation to the relevance of the outputs to the different users in the NAS.

    Methodologically, the effectiveness of the information services is followed by surveys of user response:

    It is stated that "relevance and effectiveness objectives need to be delivered by the organization’s internal management and information procedures. Here the principal concern is efficiency of operations (more output per unit inputs), better use of staff resources, greater use of information technology, faster times of services, and reduced unit costs."

    Evaluation of the impact of information and communications is to be done within the structure of an overall evaluation framework for the NASs being developed by ISNAR.

    Life Cycle Model: Baark and Heeks (29)put forward a conceptual framework in a study analyzing four projects in China in which donors had supported ICT initiatives. This is a model which is emphasizes the technology per se, and is suited for consideration of the appropriateness of technology transferred and diffused. Their cycle includes the following phases:

    • Choice of technology.

    • Purchase and installation (includes the procurement of the

    hardware and software technology, and often some training and technical assistance for installation).

    • Assimilation and use (to ensure that the users fully understand how the technology works, and how they are to use and maintain it).

    • Adaptation; (the recipient alters the technology to improve existing performance; to add new functions; or to match local conditions, inputs or needs).

    • Diffusion and/or innovation; (the original recipient disseminates the technology to other organizations, perhaps introducing innovations in the process).

    The Economic Internet Toolkit Model: A model is implicit in Rob Schware’s report for African policy makers (30)which deals with penetration, and use of the Internet, and impacts at the level of ISPs and telecommunications companies, as well as communications costs of users. The model considers the use of the Internet by people in government, NGOs, private enterprises, and universities. Users are further specified according to nationality (nationals of expatriates), gender, age, education, language and income.

    Use of the Internet is measured both for email and for surfing the World Wide Web. The authors consider the use of the Internet in international commerce, focusing on its use in promoting exports. They also consider the Internet as a tool for promoting travel to Africa. Brief mention is made of the use of the Internet in agricultural and environmental, health, education, NGOs, and journalism and the media.

    Constraints to the growth of the Internet are discussed, including:

    Alternatives identified for improving Internet services and access to them include:

    Emphasis on costs include those based on the operation of ISOs and those due to PTTs. Competition is recommended.

    Schware et al go on to develop a model of potential demand for Internet services, based on income levels (in their Appendix 5). Finally (their Appendix 6) they estimate savings per page sent by Email versus by fax and other means, as well as the revenues received by the PTT for such Emails. The model then looks at revenues gained and lost by telecommunications companies at assumed levels of use.

    The Barton-Bear Framework: Cliff Barton and Marshall Bear have presented a framework(31) for a study of clients of selected ISPs (for a proposed study in the Philippines) which begins to deal with the impacts at the enterprise level. It is summarized in the following table quoted from their paper:

    Table 2: Analytical Framework for Customer Research

    Criteria

    Main Survey Questions

    Key Information

    Knowledge to be Gained

    Profile of MSE Users

    What type of business are you in? Is it formal/informal? How many employees do you have? What are your weekly sales? What business assets do you own? Who are your suppliers, buyers and other business partners?

    # Types of MSEs that use services

    # Size of MSEs that use services

    # Business partners of MSEs that use services

    Understanding which MSEs need ICT services will enable providers to target appropriate geographic areas for service provision and market services more effectively.

    Use of Existing Services

    What services do you buy? What is the frequency of purchase? What do you use the services for? What is the total amount you spend per month?

    # Services used

    # Frequency of use

    # Reasons for use

    # Volume of use

    Information on the use of existing services will enable researchers to examine which current services are most important to MSEs and for which volume is high enough to help providers become profitable.

    Competition among Service Providers

    Where can you buy the services you use? Why do you buy them where you do? How did you learn about the various service providers?

    # Nature of competition among providers

    # Important features of services

    # Effectiveness of provider outreach

    Understanding the extent of competition in the industry, how MSEs learn about service providers and what makes one more attractive than another will help providers to become more responsive to MSE demand.

    Satisfaction with Services Purchased

    Are you satisfied with the service? What features of the service (convenience, quality, payment terms) provide the most/least satisfaction?

    # Reasons for satisfaction/

    dissatisfaction

    # Important features of services

    Learning about customer satisfaction will help to understand what are the important features that make services attractive to MSEs and which features are less important. This information will help providers become more consumer oriented.

    Effects on Business

    What differences have these services made in operating your business activities? Who do you communicate with (buyers, suppliers etc.)? Does this make your business more competitive? If so, how?

    # Changes in business due to access to services

    # Changes in interaction with suppliers, buyers etc.

    # Changes in ability to compete

    Understanding the effects on MSEs will provide

    some information about the relative importance of ICT services as compared to other types of business services. It will also help to understand if and how these services make MSEs more competitive.

    Demand for Other

    Services

    Are there specific business services you value that are in short supply? What would you pay for each service? How often do you think you would use each service?

    # Demand for services not currently offered

    # Willingness to pay for other services

    Information on demand for other services will help providers make decisions about which services to add and how they could increase revenues.

    Opportun-ities for MSEs

    What new types of businesses have started in this area since ICT services or cellphones came here (e.g. selling cellphone cards, being a cellphone agent, selling phone service)?

    # Profitable business opportunities for MSEs in the ICT industry

    # Ancillary businesses related

    to the ICT industry

    Examining what new businesses MSEs have started in, or related to, the ICT industry will provide information about how MSEs can become a part of this growing industry.

    They also provide a table for studying those ISPs, which begins to deal with issues of impacts on service providers and their clients:

    Table 1: Analytical Framework for Institutional Case Studies

    Criteria

    Data Sources

    Key Information

    Knowledge to be Gained

    Commercial Viability

    Managers

    Financial records (if available)

    Internal evaluations (if available)

    Support institu-tions

    Customer survey

    # Costs and resources needed to establish and run the business

    # Subsidies

    # Competitor service providers

    To understand the actual or potential commercial viability of the model. To understand if and when subsidies may be helpful in establishing service provision.

    Mix of Services

    Managers

    Financial records (if available)

    # Types of services offered

    # Actual and relative sales and profits of each service.

    # Actual and relative costs of each service

    The ICT service mix is one of the key factors in both commercial viability and benefits to MSEs. Looking at the profitability of various services (to the extent possible) will provide information about the perceived demand for services as well the relative potential for profits from various ICT services.

    Internal Operations

    Managers

    Staff

    Operations manual

    Support institu-tions

    # Operating systems

    # Marketing systems

    # Staff complement

    # Support services used

    Understanding how the service providers operate will provide details on how the models work and give clues as to where efficiency might be improved.

    Actual or Potential for Franchising

    Managers

    Franchise managers

    Support institu-tions

    # System for franchising business

    # Differences between franchise and owned offices

    # Resources needed to purchase and establish franchise

    # Approximate franchise profits (if

    available)

    Franchising provides both a way to expand access to ICT services to more areas and, potentially, opportunities for MSEs. Understanding how the current Bayantel model works and analyzing how franchising the SME Service Center could work will provide information on the potential for franchising ICT

    service provision on a wider scale.

    Opportunities for MSEs (See Chart 2)

    Managers

    Franchise managers

    Customer survey

    Support institu-tions

    # Parts of the business model which

    offer business opportunities

    # Support services or ancillary

    businesses

    ICT is a growing industry worldwide. Understanding

    opportunities for MSEs in this industry or supporting

    industries could open profitable opportunities for MSEs

    and provide information for support institutions.

    Market Demand for Services from MSEs

    (See Chart 2)

    Managers

    Sales records

    Customer survey

    # Type of MSE customers

    # MSE use of services

    # MSE satisfaction with services (by type of service) and service features

    # MSE demand for other services

    Understanding the nature of demand for ICT services from MSEs will enable providers and support organizations to better meet their demands.

    Effects of Services on MSEs

    (See Chart 2)

    Customer survey

    # Reasons for using services (by type of service)

    # Communicating with whom — buyers, suppliers etc.?

    # Benefits to and changes in the businesses

    ICT services have not been a major focus of support institutions seeking to build the competitive advantage of MSEs. Understanding how ICT services benefit MSEs will provide clues as to the relative importance of ICT services as compared with other services for MSEs.

    Potential for Adding New Services

    (See Chart 2)

    Managers

    Customer survey

    # Other services demanded

    # Other services model would support

    As the telecommunications industry evolves, profits from telephone access will decrease. Higher value added services offer businesses the potential to improve profitability and continue to provide basic services to those without other access.

    The Stages Theory: This model seeks to explain the process of introduction of information technology in terms of stages:

    The model also takes note of the applications portfolio for the technology, the resources (money, technology, people) needed to apply the ICTs in business, management, and user awareness.

    Nolan, Croson and Seger (32)have pointed out that in the United States the "S" shaped learning curve implied by this model has been difficult to perceive because there have actually been three overlapping curves, one starting its growth stage as the previous one reached maturity. Thus the Data Processing era, characterized by large, stand-alone computers, started in the 1960’s, and reached stage IV in about 1980; the micro-computer era started about 1980, and reached maturity about 1995; the network era, which started in 1995, is just reaching stage II.

    Indeed, one might note that in each case the learning curve was the composite of learning curves for a number of applications that were introduced, as for example the learning curve for microcomputers was a composite of the learning curves for word processing, spreadsheets, desk top publishing, and other applications software as applied to a portfolio of functions in the enterprise.


    Endnotes
    1. Use" means the actual use of the Internet", while "utilization" considers the actual use as compared of the available resources.
    2. King, John Leslie and Kenneth L. Kraemer, "Computer and Communication Technologies: Impacts on the Organization of Enterprise and the Establishment and Maintenance of Civil Society", in National Academy of Sciences, Fostering Research on the Economic and Social Impacts of Information Technology: Report of a Workshop, 1998
    3. http://www.nap.edu/readingroom/books/esi/index.html
    4. C.f. Fostering Research on the Economic and Social Impacts of Information Technology: Report Of A Workshop, National Academy of Sciences, Washington, DC, 1998. http://www.nap.edu/readingroom/books/esi/index.html
    5. http://www.crito.uci.edu/
    6. Conference on Information Technologies and Social Development, United Nations Research Institute for Social Development (UNRISD), Geneva, 22-23 June 1998. http://www.unrisd.org/infotech/conferen/papers.htm
    7. Mansell, Robin and U. Wehn, Knowledge Societies: Information Technology for Sustainable Development, Oxford University Press, 1998. http://nt1.ids.ac.uk/cgi-bin/dbtcgi.exe?RNO=DOC6667&$TEXTBASE_PATH=d:%5CInetPub%5Cwwwroot%5Cdata%5C&$TEXTBASE_NAME=high&$MAXRECS=10&$NOREPORT=0&$NODISPLAY=0&$REPORT_FORM=Full+display
    8. Wresch, William, Disconnected: Haves and Have-nots in the Information Age, Rutgers University Press, New Brunswick, New Jersey, 1996.
    9. National Academy of Sciences, Internet Counts: Measuring the Impacts of the Internet, Washington, DC, 1998 http://www.cidcm.umd.eduwilson/xnasrep2.htm Collins, Eileen, Charting the Impacts of Information Technology, National Science Foundation, Washington, DC, 1997. http://www.nsf.gov/sbe/srs/infotech/charting/start.htm
    10. This is drawn, with minor modifications from Daly, John A., "Third World Impact of Microcomputers in Health", Chapter 22 in ational Academy of Sciences, Policy Issues in Microcomputer Applications for Developing Countries, Westview Press, Boulder, Colorado, 1992 (pp. 227-256). (Also available on the Humanity Development Library: http://payson.tulane.edu:8888/cgi-bin/gw?e=b1c10home-hdl-1-C.8.1-11-100-20-00&q=&d=C.8.4.B.318&a=b), and Daly, John, "Diffusion of Computer Technology in Primary Health Care in the Third World", in Mann, Charles K. and Stephen R. Ruth (eds.), Expert Systems in Developing Countries: Practice and Promise, Westview Press, Boulder, Colorado, 1992 (pp. 147-191).
    11. Whyte, Anne, "Telecentre Research Framework for Acacia", IDRC, Ottawa, 1998. http://www.idrc.ca/acacia/stcat.htm
    12. Menou, Michel (editor), Measuring the Impact of Information on Development, IDRC, Ottawa, 1993
    13. McConnell, Paul, Making a Difference Measuring the Impact of Information on Development: Proceedings of a Workshop, IDRC, Ottawa, 1995. http://www.idrc.ca/books/focus/783/index.html
    14. Michel Menou, personal communication.
    15. The AISI study is perhaps of special interest in that it focused on four African countries: Ethiopia, Senegal, Uganda and Zambia http://www.bellanet.org/partners/aisi/
    16. Michel Menou, personal communication.
    17. Michel Menou, personal communication.
    18. Press, Larry, Grey Burkhart, Will Foster, Sy Goodman, Alex Tan, and Jon Woodard, An Internet Diffusion Study, http://som.csudh.edu/cis/lpress/gdiff/otifwk/otifwk.htm
    19. Burkhart, Grey, Development of the Internet in the Persian Gulf Region, 1998. http://www.agsd.com/gdi97/gdi97-7.html
    20. http://som.csudh.edu/cis/lpress/gdiff/
    21. Pimienta, Daniel, "Diagnóstico Internet en ALC", 31/3/99 in Reunion de Samana, Dominican Republic, 1999. http://www.funredes.org/mistica/comunidad/samana/diagnostico.htmlhttp://www.funredes.org/mistica/comunidad/samana/diagnostico.html
    22. Lanfranco, Sam, "A Meta-Level Conceptual Framework for Evaluating Projects involving Information and Communication Technology (ICT), Bellanet, http://www.bellanet.org/partners/ldia/lessons/evalfram.htm
    23. Graham, Michael, "Use of Information and Communication Technologies in IDRC Projects: Lessons Learned", IDRC, Ottawa, 1997. http://www.idrc.ca/acacia/outputs/op-eval.htm
    24. "Measuring the Impact of the Internet on Civil Society Organizations in Central America: Research Proposal - Project Concept," Fundación Acceso, San José, Costa Rica, March 1, 1999. http://www.funredes.org/mistica/comunidad/contenido/docuparti/doc3.html
    25. Lefebvre, Élisabeth and Louis A. Lefebvre, Information and Telecommunication Technologies: The Impact of Their Adoption on Small and Medium-sized Enterprises, IDRC, 1996. http://www.idrc.ca/books/focus/807/
    26. Daly, John, Robert R. Miller, "Corporations' Use of the Internet in Developing Countries", International Finance Corporation Working Paper Number 35, Washington DC, 1998. http://www.ifc.org/DEPTS/OPS/ECON/PUBS/DP35/Dp35.htm
    27. Kanungo, Sivraj and Madan Chouthoy, "IT Planning in India: Implications for IT Effectiveness," in Information Technology for Development, Vol. 8, No. 2, 1998, pages 71-87.
    28. Assessing the Impact of Information and Communication Management on Institutional Performance: Proceedings of a CTA Workshop, CTA, 1998, Wangeningen, the Netherlands.
    29. Baark, Erik and Richard Heeks, "Evaluation of Donor-Funded Information Technology Transfer Projects in China: A Life-Cycle Approach", 1998. http://www.man.ac.uk/idpm/diwpf1.htm
    30. Schware, Robert, et al, Economic Internet Toolkit for African Policy Makers, 1998, Chapter 3. http://www.worldbank.org/infodev/projects/afprelim.pdf
    31. Barton, Clifton and Marshall Bear, "Information and Communications Technologies: Are they the Key to Viable Business Development Services for Micro and Small Enterprises?", Microenterprise Best Practices Project, March, 1999, Appendix II http://www.mip.org/pubs/MBP/ict.htm
    32. a href="http://www.worldbank.org/infodev/projects/afprelim.pdf">http://www.worldbank.org/infodev/projects/afprelim.pdf
    33. Barton, Clifton and Marshall Bear, "Information and Communications Technologies: Are they the Key to Viable Business Development Services for Micro and Small Enterprises?", Microenterprise Best Practices Project, March, 1999, Appendix II http://www.mip.org/pubs/MBP/ict.htm
    34. Nolan, Richard L., David C. Crason, and Katherine N. Seger, "The Stages Theory: A Framework for IT Adoption and Organizational Learning," Harvard Business School 9-193-141, March 1993