Validasi Model Transfer Pengetahuan Dari Perguruan Tinggi Ke Industri Kecil

Abstract

Previous research was built the effectiveness of knowledge transfer model from University to Small Industries. The model was validated by enterviews with expert from Trunojoyo University and the owner of Small Industry in Bangkalan. This research is validating the previous ones quantitatively by using questioner. Validated was done in Trunojoyo Universityand Small Industry in Bangkalan. This research used 22 processes transfered. Based on unit analisys there were two kind of respondents : (1) 22 lecturers as resource of transfer knowledge, (2) 4 small industries as receiver of transfer knowledge. Data was calculated using SEM basedPLS. From the calculated the most factors that affect the effectiveness of knowledge transfer from University to Small Industries are direction of knowledge transfer, availability of receiver, form of knowledge, information system and personal relationship. There are relationship between endogenous variable as previous model. Only one relationship that not significant was relationship between environment characteristic and receiver characteristic.

Effect of SME Food Entrepreneurs Knowledge on Halal Certification for Certified Awareness using Partial Least Square

“…Table 5 indicates that the Cronbach Alpha value for all variables reached the acceptance value (0.70). The loading factor value for confirmatory research was > 0.70, while the loading factor value of 0.50 was still acceptable for exploratory ISSN : 1978ISSN : -1431 research [25]. The loading factor of all indicators in Table 5 was between 0.742-0.964.…”

“…Alpha Cronbach assessed the reliability test. It was the most commonly used tool for evaluating internal consistency [25]. The acceptance limit for the Cronbach Alpha value was > 0.70.…”

“…The t-statistics and p-statistics in Table 5 indicate that all measurement factors are important for the measurement of the model. The Convergence Validity Evaluation was evaluated by comparison to Composite Reliability (CR) and Average Variance Extracted (AVE) [25]. The acceptance level for the CR value is more than 0.70, and the acceptance limit for the AVE value is 0.50 [25].…”

“…The Convergence Validity Evaluation was evaluated by comparison to Composite Reliability (CR) and Average Variance Extracted (AVE) [25]. The acceptance level for the CR value is more than 0.70, and the acceptance limit for the AVE value is 0.50 [25]. Table 5 indicates that the CR and AVE values for all factors reached the approval value.…”

Effect of SME Food Entrepreneurs Knowledge on Halal Certification for Certified Awareness Using Partial Least Square

“…SEM-PLS was used in this analysis, owing to the predictive aspect of the research. SEM-PLS is an effective analysis tool because it is accurate when analyzing data with a small sample size [24][25][26][27]. We used SPSS 24 and Smart-PLS 3.2.7 to assist the data processing.…”