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Electric cars (EC) adoption represents a strategic action aimed at promoting environmental sustainability. Although Millennials and Gen Z represent the greatest potential market for EC, their adoption remains low; thus, this study focused on examining the role of motive in predicting EC adoption intention within these two generations’ population. Built upon the fundamental motive framework, this research explores the motives that lead to EC adoption intention. Subsequently, this study aims to examine the role of performance expectancy as the mediating variable and EC attributes beliefs as the moderating variable that can promote EC adoption intention.

Both exploratory and confirmatory methods were used in this investigation. Using an exploratory approach, this research explores the fundamental motives and the attributes of EC that influence EC adoption intention. Using a confirmatory approach, this research tests the mediating role of performance expectancy. To collect the data, an online survey was administered to 260 young consumers in Indonesia.

The results of PLS-SEM analysis from the data revealed that self-protection, kin-care, status and affiliative motives influence EC adoption. Furthermore, performance expectancy mediates the relationship between self-protection, mate acquisition, affiliative motives and EC adoption intention. Among EC attributes, the short-haul performance strengthens the indirect relationship between affiliative motive and EC adoption intention.

The main limitation of this study is that it only focuses on the practical attributes of EC, whereas psychological attributes that were found to be more influential in consumer’s purchase decisions were not examined.

Marketers need to explore EC attributes that can strengthen the relationship between consumers’ motives and EC adoption intention by increasing consumers’ evaluation of performance expectancy. In this study, marketers can promote short-haul performance, as it will lead to EC adoption for consumers with affiliative motives.

This study ties together two lines of research on the adoption of EC, exploring EC attributes and examining consumers’ motivation to choose EC, especially Millennials and Gen Z. In this way, EC attributes facilitate the fulfillment of consumers’ needs and promote EC adoption intention.

Open banking, with its promise to revolutionise electronic transactions through open application programming interfaces (APIs), aims to bridge the gap between banks and non-banks, enhancing lending, payments, investments and funds distribution. However, does this bold innovation truly resonate with consumers? This study delves into consumer intentions to adopt open banking in Indonesia by leveraging the technology readiness model, scrutinising its antecedents and moderating factors, and identifying the key attributes that users anticipate.

Through quantitative and qualitative approaches, this study answers the following questions: (1) Are financial service users ready to use open banking/open API applications? (2) What are the key attributes that consumer expects of open banking/open API? First, the authors developed a structural model based on the technology readiness model, distributed the questionnaire in eight major cities in Indonesia, analysed it using PLS-SEM and utilised a machine learning approach to unpack the main attributes expected from open banking.

This study’s findings indicate that customers are generally prepared to embrace open banking innovations. Nonetheless, to enhance public acceptance, certain factors should be emphasised, including organisational support, user-friendly technology, a comprehensive range of features, consumer financial literacy and banks' readiness to adopt open banking. In contrast to prior research, this study reveals that loyalty to traditional banking positively moderates the connection between customer value and the intention to utilise open banking. Additionally, the authors did not observe a significant moderating effect of financial literacy on the relationship between perceived customer value and the intention to use open banking.

To the best of the authors’ knowledge, this study is one of the few that comprehensively analyses the consumers' readiness for open banking in developing contexts. This study is expected to produce a theoretical contribution as well as effective and optimal policies for the financial services sector.

Innovation in digital technologies has been the main force in promoting growth and inclusion. However, the impact of such innovations remains ambiguous. Within this context, this study aims to analyze the distribution of digitally empowered peer-to-peer (P2P) lending in Indonesia.

This study uses a quantitative approach to estimate the impact of technological innovation in promoting economic development. In particular, this study employs empirical panel data from 135 financial technology (FinTech) companies from 2015 to 2019 and use the dynamic panel threshold regression approach. This study collects secondary data to build the estimated model.

Contrary to conventional wisdom, this study’s evidence suggests that there is a delayed effect between the contribution of P2P lending by FinTech firms on economic growth in the country. While the immense growth of FinTech seems promising, the findings indicate that FinTech is far from its optimal point. This study calculates the optimal combination between productive and consumptive lending and between Java and non-Java. In view of this finding, this study proposes strategies to effectively distribute lending and bring about the expected benefit to the economy.

Since the contribution of P2P lending on economic development has not reached its optimum, the findings expose the limitation of current technological innovation in the financial sectors. In this sense, P2P penetration on the financing market needs encouragement. The calculations for optimal allocation between productive and consumptive and between Java and non-Java provide guidance to policymakers. This study helps practitioners to shape strategy and to begin experimenting with different approaches to distribute loans effectively.

To the best of the authors’ knowledge, there are no empirical studies that examine the impact of emerging FinTech companies in promoting economic growth and financial development. The findings close this research gap, especially in regard to innovation management literature, and provide insights for practitioners, policymakers and regulators.