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Abstract. Traditionally, resource allocation problem has been considered as one of the important issues in business process management to maintain the acceptable level of each activity completion time which can reduce the total completion time. Especially, the complexity of managing resources increases when the resource type is human because performance of each human resource might fluctuate over time due to various unpredicted factors. Hence, upfront planning of the resource allocation might be unsuitable in this matter. Therefore, this study proposes an on-the-fly resource allocation using Naïve Bayes to manage human resources more efficiently. The term on-the-fly here indicates that the resource allocation planning will be frequently updated and executed during the execution time by considering recent human resource performances. In this paper, we will show the proposed approach exceeds other resource allocation approaches in terms of total completion time.

This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.

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Seller reputation system (SRS) is an online facility in the public e-marketplace to assess how trustworthy a seller is. SRS becomes important for customers to increase transactional confidence and help customers avoiding untrustworthy sellers. Previous research indicates that different countries with different cultures will lead to different results on how seller reputation influence sales performance. This study aims to investigate the impact of seller reputation on the number of sales in the context of the Indonesian market. This research uses Bukalapak as the case study, which the majority of its customers are Indonesian. Further, this study employ multiple regression analysis on smartphone sales data. The result shows that in Indonesian online market context, the number of seller's followers does not affect sales number. Furthermore, price and seller positive reviews have a significant impact on sales performance. This study provides insight for sellers in the Indonesian marketplace on how to improve sales performance based on seller reputation.

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Abstract-The adoption of e-learning technology in Indonesia is limited partly because of user rejection. While one rejecting user is teachers, they play an important role to succeed the implementation of e-learning as they provide e-learning content. Thus, this study aims at investigating factors that affect teacher's intention in using e-learning. In doing so, we employ Technology Acceptance Model (TAM) to assess such factors which consist of several variables: perceived ease of use, perceived usefulness, and intention to develop and offer e-learning course. In addition to TAM, we add three external factors namely facilitating condition, experience, and self-efficacy. As a case study, we analyze the implementation of e-learning in SMP Negeri 1 Jember. We develop a questionnaire based on the model and elicit data for capturing teacher's intention in SMP Negeri 1 Jember. We utilize Structural Equation Model (SEM) to analyze our hypothesis. The result from this study shows that self-efficacy has a positive correlation toward perceived ease of use. Moreover, this correlation is the only hypothesis that being supported, while the others are being rejected. Another interesting finding is that even though the hypothesis expressing that experience has a positive correlation toward perceived usefulness is rejected, the study shows the opposite result that experience has a negative correlation toward perceived usefulness.