2023 ACBSP Region 10 Annual Conference
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Item The Relationship of Knowledge Sharing in Strategic Alliance: A Partial Least Square Analysis of Hotel Industry in Cambodia(Feb-23) Lim SiphatSeven latent variables were integrated into the Structural Equation Model to investigate the effect of Communication, Learning Intent, Mutual Commitment, Trust, Absorptive Capacity, and Knowledge Sharing on Innovation in Cambodia’s four and five-star hotel industry. A Confirmatory Factor Analysis was adopted to evaluate the model’s suitability. The empirical results of this research found that there was a direct positive significant effect of Communication, Mutual Commitment, and Trust on Knowledge Sharing. All latent variables, Communication, Learning Intent, Mutual Commitment, Trust, Absorptive Capacity, and Knowledge Sharing, in this study had a significant positive influence on Innovation. Despite Learning Intent and Absorptive Capacity latent constructs had an insignificant direct effect on the Knowledge Sharing variable, it turned out that they had a highly statistically positive significant impact at a 1 percent level on the Innovation construct through the mediation of Knowledge Sharing. Regarding the estimated path coefficient generated from the model of this research, Knowledge Sharing produced the highest parameter, 3.094, and had a highly statistically significant effect on Innovation which concluded that the greater the Knowledge Sharing, the more the Innovation would be made. The second variable that had a huge direct positive impact on Innovation was Communication since the estimated slope parameter was 2.738. Keywords: Structural Equation Model, Confirmatory Factor Analysis, Knowledge Sharing, InnovationItem Identifying Factors Influencing Knowledge Collaboration Effects in Knowledge Alliances in Cambodia: A Structural Equation Model(Feb-23) Tapas R. Dash; Lim SiphatKnowledge sharing between organizations helps increase the competency of employees in performing their work, but the level of knowledge collaboration might be affected by willingness to cooperate, learning abilities, knowledge attributes, and knowledge activity. To unwind this suspicion, our study used a Structural Equation Model initially composed of twenty-seven manifest or observed variables in predicting five latent or unobserved variables. The first latent variable, Willingness to Cooperate, was measured by five manifest variables. The second latent variable, Learning Ability, was measured by seven observed variables. Knowledge Attributes, Knowledge Activities, and Knowledge Collaboration Effects were measured by six, six, and three variables respectively. Based on the Confirmatory Factor Analysis, seven measurements were eliminated since their loading was less than the threshold. Maximum Likelihood Estimation Method was combined with bootstrapping technique to estimate sample parameters and establish standard errors for hypothesis testing. The empirical results of the study reveal that Learning Abilities and Knowledge Attributes have a highly significant positive impact on Knowledge Collaboration Effects. As such the empirical findings of this study have implications for both private and public sector organizations that should take initiatives to encourage members to learn better understand, and use the acquired knowledge that meets their needs, and to establish knowledge alliances with external partners. Keywords: Knowledge collaboration effects, latent variables, manifest variables, confirmatory factor analysis, structural equation model