Technological Innovations Week 1 Assignment Survey

Entr427 Technological Innovationsweek 1 Assignment Survey Methodolo

ENTR427 – Technological Innovations Week 1 Assignment: Survey Methodology Innovation Diffusion Theory uses scales designed to measure the predictive strength of antecedents of innovation adoption. The following 3-step process should be used for the construction of a self-administered questionnaire, or a researcher administered survey. Step 1. Specify the innovation and define the constructs: The focus is on the perception of using the innovation, rather than on the innovation itself since the actual product(s) doesn’t exist. The following antecedents form the basis for the following construct definitions: 1. Relative Advantage: the degree to which the innovation is perceived as being better than its precursor 2. Compatibility: the degree to which the innovation is perceived as being consistent with the existing values, needs, and past experiences of potential adopters 3. Complexity: the degree to which the innovation is perceived as being difficult to use 4. Trialability: the degree to which the innovation may be experimented with before adoption 5. Observability: the degree to which the results of the innovation are observable to others. (Rogers, E. 2005) Step 2. Generate a sample of items: Using Roger’s antecedent definitions above, develop a series of questions, 2 per construct 10 in total, to assess a respondent’s attitude towards the adoption of the proposed innovation. (Rogers, E. 2005) Item format: 7-Point Likert scale Level of measurement: ordinal, interval, categorical Step 3. Collect data with survey instrument and analyze data using Excel. Analyze Data: Use descriptive statistics; e.g. mean, media, mode, to analyze the distribution of the data.

Paper For Above instruction

The development and implementation of effective survey methodologies are paramount in understanding perceptions and predicting the adoption of technological innovations. Rogers’ Diffusion of Innovation Theory provides a comprehensive framework for measuring factors influencing adoption decisions, which include relative advantage, compatibility, complexity, trialability, and observability. This paper elucidates the process of constructing a survey instrument based on these constructs, emphasizing their importance and practical application in innovation diffusion studies.

The first step in constructing a survey instrument involves clearly specifying the innovation and defining the constructs. Since the actual product may not yet exist, researchers focus on perceptions and attitudes associated with the innovation. These perceptions can significantly influence adoption behaviors and are measurable through well-designed questions. According to Rogers (2005), understanding how potential adopters perceive relative advantage, compatibility, complexity, trialability, and observability is crucial in predicting how quickly and extensively an innovation will diffuse in a target population.

Next, generating a sample of items involves developing questions that accurately capture respondents’ attitudes towards each construct. With two questions per construct, ten questions in total, respondents respond using a 7-point Likert scale which allows capturing the degree of agreement or perception level. For example, a question measuring relative advantage might ask, “I believe this innovation offers better benefits than existing solutions,” while a compatibility item could be, “This innovation aligns with my current needs and values.” These questions must be clear, concise, and directly related to the construct they intend to measure.

The third step involves administering the survey and analyzing the collected data using descriptive statistics such as mean, median, and mode. These measures help in understanding the distribution, central tendency, and variation of responses, thereby providing insights into the perceptions of potential adopters. Data analysis using tools like Excel facilitates the identification of significant patterns or trends which can inform strategies to enhance adoption rates.

In conclusion, constructing a survey based on Rogers’ constructs involves precise definition of the innovation perception constructs, careful question development using informed judgment, and thorough statistical analysis. Such a methodological approach ensures reliable measurement of perceptions, enabling researchers and organizations to better understand and influence the adoption process of technological innovations.

References

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