No abstract

Customer Process Management (CPM) is not a new term. This phrase has been emerged in academic article since 1999. The CPM expression has received increasing attention from researcher, consultants, practitioner from technology and application firms. The consultants and practitioners introduced customer process management software during 2003-2008 since most Customer Relationship Management (CRM) initiatives failed. The following years, CPM attracted less attention from academics as well as practitioners, until Prof. Michael Rosemann in 2014, a Business Process Management (BPM) leading expert, called for new BPM research directions. One of his suggestions was to conduct research in CPM, which will complement the dominating current view of BPM. To the best of our knowledge, there is no literature review article to examine CPM. Therefore, the research question of this paper: What is the current state-of-the-art research on CPM in academic literature? This research questions will be breakdown into two research objectives. First, present an overview of existing academic literature on CPM. Second, develop potential topics for future research in this field. The results of this study show that there are many opportunities to conduct research in this area.

The activity aimed to help school to determine whether the schoolfurniture which were provided to the students match with theirdimensions. The evaluation focused on students from Grade 1-3. Byusing ergonomics criteria and students’ anthropometry, the chair anddesk were evaluated. Results showed that most students’ did not matchwith the chair available to them. The height of chair were too high forthe majority of students with percentage are ranging from 12.5% (Boysin Grade 3) to 87.5% (Girls in Grade 1). Meanwhile, the height of deskwas not appropriate for all students from Grade 1 to Grade 3 (100%percentage). Findings from this activity suggested that the schoolauthority should evaluate the used of their school furniture.

Data is a crucial asset for an organization to compete in the 21st Century, and Indonesia is no exception. Data scientists are relatively a new profession that is one of the most needed today. As far as we are concerned, no research shows the skills and capabilities needed as a data scientist in Indonesia. This research aims to determine the skill and capability factors of data scientists, identify the actual skills and capabilities of data scientists in Indonesia, and identify gap skills and capabilities from data scientists in Indonesia. This research was conducted using a mixed-method approach, where interview results were used to design a questionnaire and determine the question indicators. This study has shown four skill and capability factors for data scientists; primary capabilities, data management, personal skills, and sources. The gap analysis results show that all indicators have a negative value, where data analysis-related training is most needed for a data scientist.