### Table 5. Scaling of the computational cost for the spatial discrete methods presented in this comparison

"... In PAGE 8: ... Obviously the number of molecules of a given species in the sub-volume has to be used instead of the inter-particle distance. Then, the average time between diffusive jumps, hC28Di, in MesoRD is inversely proportional to that quantity (see the caption of Table5 . Additionally, thanks to the next sub-volume method, MesoRD finds sub-volumes where the next event occurs instead of looping over the whole volume.... ..."

### Table 3: Mean Usage Characteristics and Diffusion Properties of Information Types Information Type News Discussion t-statistic Usage Characteristics amp; Diffusion Properties Number of Words 3235 4168 -

2007

"... In PAGE 27: ... We then tested whether words in each category differed significantly across these dimensions by conducting t-tests of the differences of means across information types and dimensions. Table3 lists the mean usage characteristics and diffusion properties of both event news and discussion topics. Our t-tests demonstrate that these information types differ significantly across all dimensions of interest related to their use and diffusion.... In PAGE 33: ....1. Estimation of the Diffusion of Information We first tested the diffusion of all types of information through the firm. Table3 presents the results of logistic regression and hazard rate model estimates of the likelihood of receiving information and the rate at which different types of information diffuse to different users. Model 1 presents the results of the logistic regression estimating factors that influence the likelihood of receiving information.... In PAGE 34: ... Table3 . Drivers of Access to Information Model 1 Model 2 Dependent Variable: Word Received Rate of Receipt Specification (Coefficient Reported) Logistic (Odds Ratio) Hazard Model (Hazard Ratio) Demography1 Gender Dummy (Male = 1) 1.... ..."

### Table 4. Drivers of Access to Discussion Topics amp; Event News NEWS DISCUSSION NEWS DISCUSSION Model 1 Model 2 Model 3 Model 4

2007

"... In PAGE 35: ... Table4 presents the results of logistic regression and hazard rate model estimates of the drivers of event news and discussion topic diffusion. Models 1 and 2 report the results of logistic regressions.... ..."

### Table 3. Drivers of Access to Information Model 1 Model 2

2007

"... In PAGE 27: ... We then tested whether words in each category differed significantly across these dimensions by conducting t-tests of the differences of means across information types and dimensions. Table3 lists the mean usage characteristics and diffusion properties of both event news and discussion topics. Our t-tests demonstrate that these information types differ significantly across all dimensions of interest related to their use and diffusion.... In PAGE 28: ... 27 Table3 : Mean Usage Characteristics and Diffusion Properties of Information Types Information Type News Discussion t-statistic Usage Characteristics amp; Diffusion Properties Number of Words 3235 4168 - Potential Diffusion Events 245280 320470 - Realized Diffusion Events 65145 9344 - Number of Emails 236.21 17.... In PAGE 33: ....1. Estimation of the Diffusion of Information We first tested the diffusion of all types of information through the firm. Table3 presents the results of logistic regression and hazard rate model estimates of the likelihood of receiving information and the rate at which different types of information diffuse to different users. Model 1 presents the results of the logistic regression estimating factors that influence the likelihood of receiving information.... ..."

### Table 7. Diffusion Paths

### Table 6. The diffusion tensor.

1973

### Table 1. The diffusion results for different and .

"... In PAGE 5: ... At first we decrease them step by step for 4 cases, and then increase them step by step for another 4 cases. The diffusion results are given in Table1 . From Table 1, we can see that more steps are needed to reach diffusion termination when and increase.... ..."

### Table 1. Empirical Studies of IT Diffusion

1992

"... In PAGE 12: ...ndividuals in organizations or organizations as a whole. Similarly to Cooper and Zmud (1990, p. 123) information technology is defined here as any system, product or process whose underlying technology base is composed of computer or communications software or hardware. Figure 2 below maps the eighteen studies to the IT Diffusion Framework; Table1 provides a high-level summary of each study. [INSERT FIGURE 2 THEN TABLE 1 ABOUT HERE] The four subsections below use the IT Diffusion Framework as a device to structure a discussion of major results and implications arising from the eighteen studies.... In PAGE 12: ...1 Individual Adoption of Type 1 Technologies Five studies examined individual adoption or use of Type 1 technologies. The technologies included a text editor, a wordprocessing package, spreadsheet software, graphics software, personal computers and an expert system (see Table1 ). These technologies qualify as independent-use technologies since they were intended to facilitate self- contained tasks performed by individual users.... ..."

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### Table 12. Determinants of Internet Diffusion

2001

"... In PAGE 33: ... We find it highly useful to visit a country in the course of preparing a country study. Interviews with a cross section of decision makers drawn from government, academia, and the Internet business community are invaluable for understanding not only the dimensions, but particularly the determinants of Internet diffusion ( Table12 ). The interview format often allows us to present a picture of the determinants and to get valuable feedback and insights.... ..."

Cited by 8