Modeling two-dimensional technology diffusion process under dynamic adoption rate

Multigenerational product innovation process in electronic information industry: a qualitative study

Purpose

Developing multigenerational products through iteration helps enterprises cope with environmental uncertainty and maintain lasting competitive advantages in a globally competitive environment. From the knowledge integration perspective, this study aims explore how enterprises achieve multigenerational product innovation.

Design/methodology/approach

An exploratory case study design is used to explore the multigenerational product innovation process.

Findings

This study proposes a model of the multigenerational product innovation process and shows that knowledge integration includes two important parts: the internalization of external knowledge and intergenerational knowledge integration. This study further conclude that multigenerational innovation has three main channels: rapid iteration, continuous reflection and coordination.

Originality/value

First, this study presents a theoretical model of the process of multigenerational product innovation, including triggers, knowledge integration, learning systems and outcomes, and further enhances our understanding from product innovation to multigenerational product innovation. Second, this study contributes to the literature on the multigenerational product innovation process by revealing the knowledge integration process of the internalization of external knowledge and intergenerational knowledge integration.

Customers’ perceptions of FinTech adaptability in the Islamic banking sector: comparative study on Malaysia and Saudi Arabia

Purpose

This paper aims to compare perceptions of Islamic bank customers concerning FinTech services in Malaysia and Saudi Arabia. It also investigates the level to which customers are willing to adapt FinTech services.

Design/methodology/approach

Primary data was collected from May to September 2019 using a questionnaire to survey 102 Islamic bank customers in Malaysia and 147 in Saudi Arabia. The data are analyzed based on Structural Equation Modelling using the partial least squares approach.

Findings

The findings show that knowledge, attitude and subjective norms are the highly significant determining factors that influence customers’ opinions on adapting to new technology, but awareness demonstrates only a moderately positive effect. Moreover, the impact of these factors on the intention to adopt FinTech services significantly differs between Malaysian and Saudi Arabian customers.

Originality/value

This is an original study based on primary data on customers of Islamic banking in Malaysia and Saudi Arabia. It provides some novel insights into how the banking industry can boost customers’ confidence and enhance their patronage by adopting FinTech in their business operation model. These findings should be of value to senior management, policymakers and regulators in the banking industry in both Muslim and non-Muslim countries.

Effectiveness modelling of digital contact-tracing solutions for tackling the COVID-19 pandemic

Since the beginning of the coronavirus (COVID-19) global pandemic, digital contact-tracing applications (apps) have been at the centre of attention as a digital tool to enable citizens to monitor their social distancing, which appears to be one of the leading practices for mitigating the spread of airborne infectious diseases. Many countries have been working towards developing suitable digital contact-tracing apps to allow the measurement of the physical distance between citizens and to alert them when contact with an infected individual has occurred. However, the adoption of digital contact-tracing apps has faced several challenges so far, including interoperability between mobile devices and users’ privacy concerns. There is a need to reach a trade-off between the achievable technical performance of new technology, false-positive rates, and social and behavioural factors. This paper reviews a wide range of factors and classifies them into three categories of technical, epidemiological and social ones, and incorporates these into a compact mathematical model. The paper evaluates the effectiveness of digital contact-tracing apps based on received signal strength measurements. The results highlight the limitations, potential and challenges of the adoption of digital contact-tracing apps.