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This paper seeks to explore how a self-organised social group (SOSG) can facilitate supply chain resilience (SCRES) during an emergency condition.

A netnographic research was conducted on SONJO, an online SOSG emerging in response to problems in personal protective equipment (PPE) and food small businesses' supply chains (SCs) during the state of COVID-19 emergency in Yogyakarta, Indonesia. Qualitative data of 237,010 words were extracted from the group chats among 223 SONJO WhatsApp Group (WAG) members and were analysed using template analysis.

This paper reveals five communicative acts through which the SOSG facilitates SCRES, namely supply chain (SC) knowledge sharing, networking, bridging, mapping, and mindfulness. The enactment of these communicative acts could foster SC collaboration and help rebuild and sustain the SC operations during the critical period of the pandemic. The SOSG also facilitates the SC actors to be heedful of their responsive actions and risky operations.

This paper emphasises the need for organisations to build and maintain relationships with social communities and to extend their social capital beyond their existing SC linkages as an alternative way to survive unexpected disruptions.

This paper offers a novel perspective to understand SCRES from an external force. It proposes that, in the face of a devastating disruption, SCRES is not a self-induced process and that the SOSG could play a pivotal role in rebuilding the disrupted SCs. It also shows how a humanitarian effort could help rebuild commercial SCs.

This paper attempts to examine which theory is best at explaining the geographic concentration in Java, an island in which most of the Indonesia’s large and medium manufacturing industries have located overwhelmingly. Our previous studies on Java have found that there was a stable – albeit increasing trend – and persistent geographic concentration in Java over the period 1976‐1995. Yet some critical questions exist: Why geographic concentration in Java persisted during this period? To what extent relevant theories and empirical literature can be used as an explicit test of competing theories on agglomeration forces? In answering those questions, we compare the three major grand theories of geographic concentration: Neo‐Classical Theory (NCT), New Trade Theory (NTT) and New Economic Geography (NEG). Using the regional specialization index as a measure of geographic concentration of manufacturing industry and pooling data over the period 1991‐002, our econometric analysis integrates the perspectives of industry, region (space) and time. We further explore the nature and dynamics of agglomeration forces underpinning the industrial agglomeration in Java by testing some key variables. Our econometric results rejected the NCT hypotheses and showed that the NTT and NEG can better explain the phenomena. It’s apparent that manufacturing firms in Java seek to locate in more populous and densely populated areas in order to enjoy both localization economies and urbanization economies, as shown by the significance of scale economies and income per capita. The former is associated with the size of a particular industry, while the latter reflects the size of a market in a particular urban area. More importantly, the results suggest that there is a synergy between thickness of market and agglomeration forces. The interplay of agglomeration economies is intensified by the imperfect competition of Java’s market structure. We find that Java’s market structure may restrict competition so that firms tend to concentrate geographically. Instead of providing some important recommendations for local and central governments and practical implications for investors and manufacturing firms, this paper gives empirical evidence with respect to path dependency hypothesis. The finding supports the NEG’s belief that history matters: older firms tend to enhance regional specialization.

This study aims to assess the effectiveness of the banking market discipline in relation to the development of Financial Technology (FinTech) startups.

Using panel data collected from 144 banks in Indonesia from 2004 to 2018, this study’s regression models were estimated using fixed effects with robust standard errors.

This study finds that FinTech startups disturb bank deposits. Meanwhile, market discipline exists in Indonesian banks, as indicated by depositors’ behavior with higher credit and liquidity risks. However, market discipline does not exist for bank insolvency risk, which is indicated by a significant and positive relationship with the dependent variable. Therefore, the higher the number of FinTech startups, the more effective the market discipline. Empirical findings also revealed that the joint impact between FinTech startups and bank risk is also important in explaining the difference in the effectiveness of banking market discipline.

This study has policy implications for banks in mitigating risk associated with market discipline and instability of financial intermediation.

This study offers a significant contribution to the empirical literature because it specifically explores the effectiveness of the banking market discipline by focusing on the joint impact of FinTech startups and bank risk on deposits. Furthermore, this study contributes to providing empirical evidence that links between FinTech startups and bank risk affect depositor behavior at government-owned, private, large and small, as well as nonmobile and mobile adoption banks.