Strategic Planning and Competitive Advantage of ICT Small and Medium Enterprises in Kenya: Methodology continueThe target population was 238 ICT SMEs in Nairobi drawn from the Computer Society of Kenya (CSK) and the 2010 Mocality Directory of Kenya (MDK). Firms under study were in the business of software development, internet services, software consultancy, hardware assembly and repairs, and back office operations (call centres and business process outsourcing). The small firms employing 10-100 persons were chosen for the study and stratified into age as shown below Both qualitative and quantitative data were collected through primary and secondary data sources. Both forms of data were required, to gain a deeper insight and a better interpretation of the quantitative data. The current study utilised a questionnaire and interview guide as used in various previous research projects (Lumpkin and Dess, 2001; Lumpkin, 1998). The questionnaire consisted primarily of close-ended questions presented on a five-point Likert type measurement scale. The primary data was key to the current research as it provided information that addressed the research objectives.

Furthermore, a semi-structured interview guide was used to solicit for additional information that were thought would enrich the research outputs. According to (Cooper and Schindler, 2006; Kothari 2004) an interview guide consists of a set of questions that the interviewer asks when conducting an interview.
The primary research data was collected using survey method from three categories of employees, namely the owners and top managers, middle level managers and lower level employees of the ICT SMEs in Nairobi using a questionnaire that comprised both structured and unstructured questions and supported by an interview guide. The questionnaires were hand delivered to each of the respondent organisation with an introductory letter from the university as well as evidence of a research permit from the National Council for Science and Technology. The researcher participated in data collection exercise and engaged the services of four research assistants who after being trained assisted in the distribution, collection of the fully completed questionnaires as well as follow up on gaps that were identified in the questionnaires. The data collection activity commenced in mid-June and was completed in mid-August, 2012.