International Journal of Bank Marketing最新文献

Purpose

We analyze the role of trust as a driver of speculative investment decisions in technology firms.

Design/methodology/approach

Structural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.

Findings

Our findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.

Research limitations/implications

The research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.

Practical implications

For investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.

Originality/value

Although trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.

Purpose

Inspired by the groundbreaking novel European regulations on financial investors’ profiling (MiFID II regulation and the ESMA 2022 Guidelines), this paper aims to establish which distinctive socio-demographic traits distinguish investors who declare a generalized interest in all three environmental (E), social (S), and governance (G) pillars and investors who express interest in just one individual pillar or a combination of two pillars.

Design/methodology/approach

Based on a unique dataset of 190 real-world retail investors, this paper aims to create a profile of three types of investor: those whose interest lies in just the environmental pillar, those interested in a combination of the environmental and social pillars, and those interested in all three E, S, and G pillars jointly. Moreover, we try to ascertain whether it is possible to observe statistically significant differences between the different types of investors.

Findings

The results obtained indicate that it is possible to profile investors who are environmentally-oriented and investors who are ESG-oriented. Notably, levels of financial literacy do not influence investor ESG attitudes.

Practical implications

The results obtained may have multifaceted implications for financial advisors, the banking and financial institution industry, and marketing strategists, as well as for further research.

Originality/value

The originality of this paper derives from the responses used in the analysis, which were collected from a sample of real-world retail investors who completed a mandatory MiFID-questionnaire, validated by the Italian Securities and Markets Supervisory Authority. Our paper thus represents a bridge between a theoretical approach and real-world practice.

Purpose

The purpose of this research is to develop a comprehensive model to better understand competitive dynamics between mobile payment providers in a multi-sided market featuring customers and merchants. This is undertaken by modeling customers performing financial transactions with merchants while two mobile payment systems (MPS) providers deploy different strategies to compete for market share.

Design/methodology/approach

The authors developed an agent-based simulation model using the NetLogo environment. The simulation featured two competing platform providers, 1,000 customer agents and 50 merchant agents. Past research, interviews and surveys were conducted to accurately model the behavior of the agents. Each simulation run lasted for 50 time periods. A total of 1,024 experimental conditions were designed to model different competitive environments, and 50 replications were conducted for a total of 51,200 experiments.

Findings

The simulation model provides insight into MPS platform providers’ competitive strategies by simultaneously modelling socioeconomic interactions between customers, merchants and MPS.

Research limitations/implications

From a methodological perspective, the paper contributes a comprehensive model that can be used to study competitive dynamics between competing platforms in a multi-sided market. From the perspective of competitive strategies, the results show that pricing alone is not sufficient to influence MPS diffusion. Interactions between pricing, customers’ risk perception, perceived security and ease of use of the platform create unexpected same-side and cross-side network effects, which affect MPS diffusion.

Practical implications

While pricing remains a crucial lever for MPS to compete for market share, they should focus on enhancing customers’ and merchants’ trust and reduce their risk perception. This can be done through the improvement of the user experience of their platform, development of educational materials and marketing campaigns that address concerns around security, data breaches and perceived risk.

Originality/value

The paper is a direct response to a recent call for action on studying competition between MPS platforms by simultaneously modelling the socio-economic behavior of heterogeneous consumers and merchants. The proposed agent-based simulation model can be used to provide insights into competitive strategies and as a building block for subsequent research in this area.

Purpose

The study explores the dynamics among communal-brand connections, corporate reputation, customer satisfaction and their collective influence on service loyalty within the retail customer segment of commercial banks.

Design/methodology/approach

Hypotheses are proposed for a parallel and serial-mediated model, in which corporate reputation and customer satisfaction mediate the influence of communal-brand connections on service loyalty. Data are collected from a sample of retail customers of commercial banks in a European country.

Findings

Findings indicate that individuals who perceive a strong affiliation with a brand that emphasises community engagement are more likely to demonstrate loyalty to that brand. Results highlight the need for managers allocate resources to cultivate community initiatives that foster communal-brand connection in their drive to improve service loyalty.

Research limitations/implications

A non-representative sample was collected, with a focus on a limited set of variables and employing a unidimensional measure of service loyalty. Additionally, the significance of communal-brand connection may vary across brands, warranting replication studies among smaller banks.

Practical implications

Recognition of communal-brand connection as an important driver of customer loyalty suggests that customers are motivated by intrinsic positioning factors related to the community. As part of their positioning, commercial banks can leverage their marketing and communication efforts to foster community development, thereby enhancing customer identification, connection and narratives that foster belongingness among customers.

Originality/value

The model of direct and mediated model of communal-brand connection on service loyalty has not been previously explored. Moreover, the research is conducted among retail bank customers that representing a context seldom considered in the domain of brand communities.

Purpose

This study investigates the factors influencing the intention to use Islamic Debt Financing (IDF) among owners-managers of Micro, Small, and Medium Enterprises (MSMEs) in Morocco.

Design/methodology/approach

We developed and validated a comprehensive model that examines the key behavioral elements affecting attitude towards IDF, entrepreneurial achievement motivation, and IDF usage intention. Entrepreneurial achievement motivation was assessed as a mediator in the relationship between attitude towards IDF and usage intention. Gender and Islamic religiosity were examined as moderators through Multi-Group analysis. Utilizing data from 266 Moroccan MSMEs, we applied structural equation modeling for empirical evaluation.

Findings

Results revealed direct relationships with financial literacy, risk perception, and cost perception negatively affecting attitude toward IDF. Financial suitability is inversely related to attitude toward IDF. Entrepreneurial self-efficacy and subjective norms positively influenced entrepreneurial achievement motivation. Attitude toward IDF positively impacted entrepreneurial achievement motivation, and both attitude toward IDF and entrepreneurial achievement motivation were linked to the intention to use IDF. Empirical findings indicated that entrepreneurial achievement motivation partially mediates the relationship between attitude towards IDF and usage intention. Multi-group analysis revealed a significant moderating effect of Islamic religiosity on three out of nine structural relationships.

Research limitations/implications

This study is primarily limited by the absence of a longitudinal examination tracking real usage behavior. Moreover, data collection focused on analyzing the behavioral intention to use Islamic debt-based financing products, excluding equity-based financing instruments. Finally, our proposed model concentrates on establishing usage intention solely based on demand-side factors without explicitly integrating supply-side consideration.

Practical implications

Our findings contribute to a deeper understanding of IDF adoption behavior and have the potential to support the development of more effective public policies, targeted promotional campaigns, and impactful financial education programs for MSMEs in similar markets.

Originality/value

This paper represents the first attempt to address MSMEs’ apprehensions regarding Islamic debt-based financing products in the MENA region.

Purpose

The overarching goal of the study was to formulate an integrated research model to empirically demonstrate the complex interplay between heuristics, project characteristics, information system usage quality, empathy, and mindfulness in predicting users'/donors' donation behaviour and well-being in the context of donation-based crowdfunding (DBC) mobile apps.

Design/methodology/approach

The data were collected from 786 respondents and analysed using the multi-stage SEM-ANN-NCA (Structural equation modelling-artificial neural network-necessary condition analysis) method.

Findings

Increased perceived aesthetics, narrative structure, self-referencing, project popularity, project content quality, and initiator reputation would foster empathy. Empathy and mindfulness lead to donation behaviour, and, ultimately emotional well-being.

Originality/value

This study offers a clear framework by ranking the key contextual predictors and assessing the model’s necessity logic to facilitate crowdfunders' donation behaviour and well-being on DBC platforms. This research provides practical insights for bank marketers and further aids financial service providers in formulating an optimal DBC mobile app strategy.

Purpose

The purpose of this study is to examine the acceptance of artificial intelligence devices (AIDs) by customers in banking service encounters using the Artificially Intelligent Device Use Acceptance (AIDUA) model and thus test the validity of the AIDUA model in the context of the banking sector as well as extending the AIDUA model by incorporating two moderator variables, namely technology anxiety and risk aversion by regarding the nature of banking services, which are considered highly risky and technology-intensive.

Design/methodology/approach

About 575 valid face-to-face self-administered surveys were gathered using convenience sampling among real bank customers in Turkey. The structural equation modelling was used to test hypotheses involving both direct and moderation effects.

Findings

The current study has demonstrated that the AIDUA model is valid and reliable for the acceptance of AIDs in banking service encounters by modifying it. The study results have shown that the acceptance process of AIDs for bank customers consists of three phases. Furthermore, the study’s findings have demonstrated that technology anxiety and risk aversion have adverse moderation effects on the relationship between performance expectancy and emotion as well as on the relationship between emotion and willingness to accept AIDs, respectively.

Originality/value

The current study validates the AIDUA model for the banking industry. In addition, the present study is unique compared to other studies conducted in the literature since it applies the AIDUA model to the setting of banking services for the first time by considering the potential effects of two moderators.

Purpose

Financial institutions actively seek to leverage the capabilities of artificial intelligence (AI) across diverse operations in the field. Especially, the adoption of AI advisors has a significant impact on trading and investing in the stock market. The purpose of this paper is to test whether AI advisors are less preferred compared to human advisors for investing and whether this algorithm aversion diminishes for trading.

Design/methodology/approach

The four hypotheses regarding the direct and indirect relationships between variables are tested in five experiments that collect data from Prolific.

Findings

The results of the five experiments reveal that, for investing, consumers are less likely to use AI advisors in comparison to human advisors. However, this reluctance to AI advisors decreases for trading. The author identifies the perceived importance of careful decision-making for investing and trading as the psychological mechanism. Specifically, the greater emphasis on careful decision-making in investing, as compared to trading, leads to consumers’ tendency to avoid AI advisors.

Originality/value

This research is the first to investigate whether algorithm aversion varies based on whether one’s approach to the stock market is investing or trading. Furthermore, it contributes to the literature on carefulness by exploring the interaction between a stock market approach and the lay belief that algorithms lack the capability to deliberate carefully.