Search results

This study aims to examine the relationship between brand innovativeness, brand attitude and brand equity within the service industry. Despite the prior literature’s acknowledgement of the importance of brand innovativeness, the previous studies on its impact on brand equity have yielded inconsistent results. This study also explores the moderating effect of perceived brand ethicality on the relationship between brand innovativeness, brand attitude and brand equity.

This study collected the self-administered survey data of 402 respondents in the Chinese retail banking sector and employed a moderated mediation analysis to examine the research hypotheses.

Brand innovativeness positively influences brand equity, and brand attitude mediates the effect. Perceived brand ethicality strengthens the positive association between brand innovativeness and brand equity.

This study contributes to the extant brand literature by demonstrating how the positive impact of brand innovativeness transcends brand evaluation to impact overall brand equity; it also reveals the mechanism through which brand innovativeness affects brand equity. The findings advance the under-researched issue of whether consumer perceptions of a brand’s ethical conduct affect the efficacy of brand innovativeness in brand equity.

The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.

A systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.

The outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.

The search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.

This review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.