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This study aims to examine the adoption of peer-to-peer (P2P) lending platforms to determine the factors that encourage SMEs to use P2P lending platforms in obtaining loans.

A sample of ten SMEs from a variety of backgrounds was taken in Bandung, Indonesia. Bandung has been awarded the title of “creative city” by UNESCO, as the city allows for the development of the creative economy. This research used a semi-structured interview. Coding method was then used for content analysis to establish which factors emerging from the interview were leading respondents to obtain a loan through the P2P lending platform.

The findings imply that loan processes, interest rates, loan costs, loan amounts and loan flexibility affect SMEs in obtaining a loan through P2P lending. Moreover, alternative payment schemes in the form of Sharia-based lending and profit-sharing schemes were found. These findings constituted the original findings of this study.

The study offers findings on factors affecting SMEs in using the P2P lending platform as a form of alternative financing. Moreover, the theoretical framework provided can be used as literature in future research. As this study was conducted in Bandung, Indonesia, the findings may not be generalisable to other regions.

This study is one of the few studies that discusses P2P lending in Indonesia as the concept has been in practice only since 2015.

This paper aims to explore the comparative analysis of marketing strategies between seaports and dry ports. Second, this paper proposes a recommendation to improve marketing approaches in both nodes.

This research analyzes current marketing approaches to improve the freight volume and enhance interrelation between them for a comprehensive collaboration in the freight supply chain. This research employed semi-structured interviews via an e-interview questionnaire.

The result shows that dry port and seaport practice a mixed marketing strategy. Some marketing elements that a seaport applies are also applied by a dry port, like focusing on the target customer, joining exhibitions and face-to-face meetings. Customized service to clients, frequent discussion on the effective marketing plans and increasing the facilities at the seaport and dry ports can improve the marketing strategies in dry port and seaports.

Seaports are the critical components in esteem-driven context, which add to supply chains by creating value-added services in the transport chain. Nonetheless, research between dry ports and seaports has increasingly drawn the attention of scholars during the last decade. Having said like that, there have not been any pragmatic studies undertaken in the Malaysian context that mainly discusses the marketing prospect of the dry ports and seaports especially during COVID-19 outbreak.

The purpose of this paper is to compare the different preferences between property practitioners and residential consumers on housing prices in the Jakarta Metropolitan Region.

The Jakarta Metropolitan Region as the largest metropolitan city in Indonesia was selected as the main sample city for this study. This study comprises 134 respondents from property practitioners and 277 respondents from residential consumers. Data were collected from all regions in Jakarta Metropolitan Region and their respective satellite cities. Descriptive analysis, the correlation study, Wilcoxon t-test and principal component analysis were used to compare the findings between each group’s preferences on housing attributes.

The results of this research provide an analysis on the different decisive attributes for each group, disparities on the correlation between attributes in housing consumers and property practitioners and disagreements among each group on the attribute preferences influencing housing prices in the Jakarta Metropolitan Region.

In conclusion, the study provides valid and dependable evidence on different consumers and property practitioners attribute preferences for housing products in the Jakarta Metropolitan Region.

This research is the first to compare the attribute preferences for housing products between housing consumers and property practitioners in Indonesia. In addition, this study is one of the first to reaffirm preference attributes influencing housing product prices in Indonesia.

This study aims to address the factors or attributes that would influence the price of residential products in Jakarta Metropolitan Region.

In total, 202 respondents from all across Jakarta Metropolitan Region participated in the questionnaire for this study. Demographic questions are categorized into age, gender and preferences for real estate locations. The questionnaire was made based on the author’s previous studies. Of the total respondents, 127 were males and 75 were females with age ranging from 18 to 56 years old. For data analysis, the authors utilized factor analysis, Cronbach’ α test and analysis of correlation to reach the conclusion of this study.

The findings suggested that from the initial three factors groups, there are five new groups that emerge as influencing factors for housing prices. Cronbach’ α score were verified (α = 0.906). Correlation study result suggested that the initial three factors groups produce a significant correlation between each of them, except for the factor of “overall location” and “located near family.” After factor analysis, the research results show that there are two new additional groups of factors that emerge as influences to housing prices. There are significant scores of differences between gender and real estate location preference toward the groups of factors.

This study shows how physical qualities, concept and location factors influence the housing price perception of their consumers. The result shows to be relatively reliable and valid.

The study is the first to analyze the relationship between the factors for preferences on residential products and housing price in Indonesia. This paper is also intended to be the first to pioneer the study on factors of preferences on residential products in Indonesia. The findings will be useful to develop pricing models for housing product in Indonesia.