Recently having increased every year, in 2017, e-learning’s worldwide average growth rate was 7.9% with a worldwide market of USD 52.5 billion. Holding all nations’ eighth highest e-learning growth rate, Indonesia had a market of USD 12.2 billion, with a growth rate of 25% in 2017. Obviously, Indonesia has great potential to develop a greater, even more prospective e-learning business. In fact, the Republic of Indonesia’s Minister of Education and Culture plans to make e-learning permanent by changing traditional into hybrid learning, including at the primary school level. Consequently, this study recommended strategies for increasing “continuance intention” for e-learning in primary schools. A conceptual model was developed based on the Expectation-Confirmation Model of Information System Continuance and the Information System Success Model. The study’s model development involved 195 teacher-respondents and used the partial least squares structural equation modeling for data analysis. Four of 11 hypotheses were rejected because they did not meet the requirements, but based on other results, 10 strategic recommendations were submitted to and assessed by several experts who used the integrated method of Importance-Performance Analysis and Kano to select four strategies selected as improvement priorities and three as keep-up-the-good-work priorities.

New product development (NPD) is essential for large, as well as small and medium, enterprises (SMEs). Despite its importance for the economy, challenges remain in the NPD in SMEs. Product success is related with the NPD process, so it is important for SMEs to be able to design their NPD process. This paper aims to identify SME’s NPD research topics, the characteristics of the NPD process in SMEs, and important aspects to be considered for NPD process design. The literature review is done with the analysis of 99 selected academic articles from Scopus and ScienceDirect. Content analysis, bibliographic analysis, and clustering method (based on Pearson’s correlation coefficient) are used to conduct the identification. Less-formal processes, informal strategic planning, limited resources, need technology support, and lack of capabilities in certain fields are some of the characteristics of SME’s NPD. Collaborative product development, competitive advantage, information and communication technology (ICT), concurrent engineering, quality function deployment, and continuous improvement are important keywords based on previous research in SME’s NPD. Design activities in NPD, collaboration and source of innovation, and process modelling, tools, and techniques appear to be important aspects related with the SME’s NPD process.

Purpose: One of the main challenges of organisations today is how to navigate their development into ideal sustainable organisations. However, each readiness level requires a different rubric of indicators. Therefore, this study develops a corporate sustainability maturity model (CSMM), which can be used by organisations to conduct self-assessments, identify their current sustainability maturity levels and transition into mature sustainable organisations.Design/methodology/approach: This CSMM comprises various maturity domains, sub-domains and levels as well as a rubric of indicators for assessing the maturity of corporate sustainability. In its development, a systematic literature review examined existing maturity models, after which a pilot study, based on the literature review, content analysis and expert interviews, was used to create a prototype of the CSSM. Finally, the model was refined and expanded by considering practitioners' feedback and the tendencies of other sustainability maturity models.Findings: On the basis of the findings, some Indonesian organisations conducted sustainability activities, without having a strategic plan. Moreover, the factors driving organisations to conduct sustainability efforts included external and internal pressure. However, typical factors, such as awareness of sustainability and organisational reputation gained from conducting sustainability activities, were insignificant in the sample.Originality/value: This CSMM is the first sustainability maturity model developed for readiness assessment in an Indonesian context. Through this CSMM, organisations can determine their current readiness level of sustainability maturity and choose the correct indicators to help improve each sustainability domain in the matrix.

Waste of electrical and electronic equipment, better known as electronic waste (ewaste) shows an increasing trend from time to time. By 2016, the total amount of e-waste generated globally has reached 44.7 million metric tons (Mt), i.e. 24.4% of growth over the past five years. It should not be a problem if all of this waste is being collected and recycled properly. Statistics show that only around 20% of the e-waste generated in the world was recycled properly. The situation is even worse in the developing countries where the population has not yet covered by e-waste legislation, such as Indonesia. The lack of reliable ewaste data is the main reason as no statistics are available to show that e-waste in Indonesia is growing rapidly and will cause problems in the future. This study attempts to quantitatively estimate the e-waste in Indonesia by using the population balance model (PBM). PBM enhances the estimation results by involving all three data points, i.e. sales, stocks and lifespans in the calculation step. The e-waste estimated is for four most common e-products found in the e-waste stream in Indonesia. These four products are categorized into two groups based on their market's characteristics. Washing machines, refrigerators, and television represent part of saturated market products, while mobile phones lie in the unsaturated market category. The results show that the average growth rate of e-waste in Indonesia is 14.91% annually. The total amount of electronic waste generated in Indonesia is estimated to reach ±49,627,917 units (±487,416 ton) by 2028.

The presence of Fintech as an innovative and disruptive financial service can improve the efficiency and scope of financial services through the application of technology. Fintech is considered to have various benefits. However, based on survey conducted by DailySocial and Otoritas Jasa Keuangan finds that the Fintech adoption rate in Indonesia is still relatively low at around 58.1%, this is in line with a penetration level of Fintech in Asia which Indonesia usage level still in 5% compared to China, Hong Kong, and India. In determining Fintech adoption, users tend to do rational calculations by comparing the perceived benefits and risks and will decide to adopt them when the perceived benefits are greater than the risks received. According to some studies, trust can be mediated to reduce some level of risk, thus this study will also include trust variables in the risk-benefit framework to determine user adoption intention on Fintech services in Indonesia. Based on data collected from 100 Fintech users, this study initially investigated whether perceived benefits and risks significantly impacted Fintech adoption intention. Partial Least Square (PLS-SEM) method is used to estimate the relationship between constructs. As a resulting trust, economic benefit and convenience are proven to significantly influence the user to adopt Fintech. While privacy awareness, financial risk, and legal risk are significantly affected by user trust. The hypothesis testing indicates that security risk has the biggest negative effect and convenience has the biggest positive effect on Fintech adoption intention.