In response to the COVID-19 pandemic, educational institutions worldwide have made online learning their primary channel. While the various benefits of e-learning have influenced governments to extend the use of this platform after the pandemic, there is the question of the intention of students toward online learning (i.e., participation and location) after the pandemic. This research aims to examine the intention of undergraduate students to do online learning post-COVID-19 pandemic and explore the factors that affect them in Indonesia. To that end, this study distributed an online questionnaire to 906 undergraduate students in mid-2021 in Bandung, Indonesia, and used the Discriminant Analysis (DA) and Multinomial Logistics Regression (MNL) model to explore the factors that influence the intention for e-learning after the pandemic. Teaching quality and time management benefits were found to influence students’ intention to spend more days on e-learning. Lower frequency of e-learning is associated with communication problems, internet problems, and unfavorable conditions at home. While the substitution effect is found in e-learning for students who are able to focus during online class, the neutral effect is found for students who experience internet problems and have a lower monthly allowance. E-learning also modifies trips for students who have higher monthly allowances and experience dizziness from long screen time. Students who reside in well-developed neighborhoods tend to prefer to attend online classes from home.

Improvements to building energy efficiency are critical to a more sustainable future. In this paper, an analytic hierarchy process method was applied to systematically highlight how experts prioritize various factors and contexts in their decisions to implement energy efficiency retrofit. This study surveyed 236 facility management experts in the United States to obtain a consensus about how they prioritized five decision criteria, including 15 factors to retrofit. Additionally, a cross-context comparison was conducted to examine differing perceptions of retrofit as a function of physical, functional, and social contexts. The three most important factors across all US respondents were payback period, life-cycle cost, and funding mechanism. The least considered factors were ${\mathrm{CO}}_2$ emissions, educational programs, and demand pressure. This study revealed no significant disagreement between public and private institutions or between executives and nonexecutives. Larger magnitudes of weight differences were observed mainly among diverse climate zones and industry sectors. Findings are relevant to regulators proposing initiatives to increase energy efficiency adoption.

Purpose: A blockchain (BC) is a breakthrough technological invention that comprises entirely different mental models than conventional technology. This fundamental difference can potentially change the systems of many organizations since the current systems are built upon a centralized paradigm. The adoption of BC brings various benefits to an organization which can initiate changes to a business model (BM). However, the contribution of BC for business model innovation (BMI) is challenging to identify. Therefore, this study aims to understand and describe the adoption of BC for developing BMI.Design/methodology/approach: This study presents a model that describes the adoption of BC for developing BMI. To justify the model, this study used an empirical approach based on multiple case study through a rigorous process. The case study selection process referred to the products or services that adopt BC to deliver to their customers and monetize their businesses, which resulted in six cases in different areas. Meanwhile, the data collection applied semi-structured interviews and adequate secondary data. The data/information was analyzed using a value proposition, creation, and capture framework.Findings: The findings identify the adoption of BC in BMIs generated through value creation as a new technological sub-element. This technological adoption evidently affects value proposition and value capture in a different mode. Furthermore, through the model, this study classifies the adoption of BC in BMI based on two dimensions: (1) the level of complexity of BC adoption and (2) the intensity of BMI. The findings show that the cases in this study are dispersed among all quadrants of the conceptual model.Originality/value: This study can serve as an antecedent for stakeholders in the innovation of BC-based BMs and their implementation patterns. Simultaneously, this study sheds light on the body of knowledge about BC adoption for developing BMI through a validated model from selected cases and technical experts. This study also describes the BC-based activity systems that provide the contributions and benefits from the technology.