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The purpose of this study is to investigate the relationships that influence the value co-creation process and lead to consumer comfort with artificial intelligence (AI) and mobile banking (AIMB) service platforms.

A conceptual model was developed to investigate the value-in-use perceptions of AI-based mobile banking applications via five antecedents: baseline perceptions of current bank service delivery; service delivery configuration benefits; general data security; safety perceptions of specific mobile banking services; and perceptions of AI service delivery. Data were collected from 218 respondents and analyzed using structural equation modeling.

This study highlights the role and importance of the sequential relationships that impact the assessment of AIMB. The findings suggest that service delivery and the customer’s role in value co-creation change as AI is introduced into a digital self-service technology channel. Furthermore, AIMB offers transaction-oriented (utilitarian) value propositions more so than relationship-oriented (hedonic) value propositions.

The sample consisted on digital natives. Additional age cohorts are needed.

As financial institutions redirect their business models toward digital self-service technology channels, the need for customers to feel comfortable while interacting with an AI agent will be critical for enhancing the customer experience and firm performance.

The authors extend the service-dominant logic (SDL) literature by showing that value co-creation is a function of both firms’ technologies and consumers’ value-in-use, a finding that appears to be unique in the literature. The authors advance the digital transformation literature by evaluating AIMB as an interactive process that requires an understanding of key technology constructs, including perceptions of baseline service relationships, desired service configurations, security and safety issues and whether AI is useful for value co-creation. To the best of the authors’ knowledge, this is the first SDL framework that investigates interactive and structural relationships to explain value-in-use perceptions of AIMB.

While the support for organ donation and registered donors continue to increase, next of kin consent remains a critical issue for the organ donation community. Despite the increased usage of social media campaigns for organ donor registration, there is a lack of understanding of how social media can be used to motivate individuals to socially declare their support for organ donation and encourage them to engage in personal discussions about organ donation with their next of kin. The purpose of this study is to better understand the link between social and personal discussions and organ donation consent rates.

The study uses structural equation modeling to examine the precursors to activating organ donor registration social media advocacy that leads to increased support for organ donation and motivates personal discussions about organ donation.

The results provide the organ donation and transplant community insight on the value of using social media to increase social advocacy, support for donation and social declarations and personal discussions on organ donation to improve next of kin’s consent rates.

Social causes similar to organ donation increasingly turn to social media for grassroots marketing efforts to engage others in the cause and motivate action.

The authors proposed an omni-channel IMC Framework and a research agenda for advancing the field. As this is a new area of inquiry, the authors argue for the development of other comprehensive frameworks, both for general omni-channel IMC conceptualizations.

The objective of this paper is to investigate IMC metrics in the lens of an institution-wide change management process, and to do so, the authors develop and test an organizational data quality enhancement model.

Qualitative research was conducted, with a follow-on quantitative pre-test. A subsequent, larger-scale quantitative survey resulted in a total of 128 responses, 124 useable. A regression analysis was conducted using the factor scores of the six organizational dimensions as independent variables and overall data quality as the dependent variable.

The findings show that overcoming poor IMC data quality requires a corporate culture that reduces cross-functional and departmental divides. The authors also support the idea that horizontally organized learning organizations not only have superior IMC data, but they also achieve higher rates of return on their cross-platform IMC efforts.

The research has limitations in terms of substantive generalizability, since it focuses on one industry within the USA. Future research can expand to other industries and expand to a global setting in order to replicate these findings.

Most improvement seems to be needed in the area of sharing customer data. The findings provide a signal to marketing organizations that want to connect with their customers that data quality must be a strategic priority, with appropriate processes in place to manage data at every touch point.

Research is needed that establishes effective methods for measuring the success of data-driven communication efforts to support management.

The purpose of this study is to summarize the findings of consumer factor research and to suggest future lines of inquiry connected to branding outcomes. Consumers are comfortable with social media and accept firms occupying the same digital space. However, some consumers more readily engage with firms online than others. Consumer factor antecedents are numerous and yet not fully explored. Online consumer engagement has also been defined and measured in various ways. The resultant outcomes related to branding also have implications for future consumer engagement. Summarizing the findings of consumer factor research and suggesting future lines of inquiry connected to branding outcomes will enhance the understanding of consumer engagement and branding strategies to maximize marketing return on investment.

The authors review literature examining key constructs and sub-dimensions on how consumer factors impact brand engagement and brand outcomes.

Three major research areas specific to consumer factors were identified: consumer status, consumer disposition, personality trait, intrinsic motivation, extrinsic motivation and cultural dimensions. Brand engagement was explored relative to affective, cognitive and behavioral engagement. Lastly, six brand outcomes were explored: brand status, disposition, attitude, affirmation connection and aversion.

This review contributes to the literature through a deeper understanding of consumer factors that lead to consumer engagement and the resultant branding factors of consumer engagement. The authors offer framework that both identifies future research needs, and insights into how firms may create, grow and enhance consumer–brand engagement.

Given the dearth of comprehensive brand engagement frameworks in the literature, the authors offer insights into how consumer factors serve as antecedents to brand engagement and identify a research agenda for advancing the field.

Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service quality and service delivery in their respective industries. Nonetheless, the issues surrounding AI services remain relatively unknown. The purpose for this paper is to offer a digital servitization framework for understanding how AI services impact value perceptions, consumer engagement and firm performance measures. The authors use the financial service ecosystem to explore this topic.

The authors explore relevant literature on digital servitization, service-dominant logic and AI/disruptive innovation. Next, a conceptual framework, organized by AI-Service Exchange Antecedents, Context of AI Usage and Digital Servitization Consequences, is developed. The authors conceptualize consequences for consumers and firms.

The main findings suggest that the linkages between consumers, financial institutions and fintech companies with AI usage in a service ecosystem should be identified; how value is created among multiple SD Logic-AI network actors should be analyzed; and the effects of AI-consumer interactions (lower-level and higher levels of engagement) on firm performance measures should be explored.

The conceptual framework identifies gaps in the literature and suggests research questions for future studies.

This paper may assist practitioners with the development of AI-enabled banking activities that involve direct consumer engagement.

To the authors’ best knowledge, this research agenda is the first comprehensive framework for understanding value co-creation in the context of AI in financial services, linking antecedents, usage and consequences.

This paper aims to investigate the influential aspects of industrial branding in building customer brand engagement from the buyer’s and the seller’s points of view. Collecting buyer and seller information is essential to understand business-to-business interaction better. Buyer’s and seller’s perspective integration is significant for stakeholders to develop proper strategies to achieve customer brand engagement.

This study uses a structural equation model to examine the antecedents of customer brand engagement from the buyer’s perspective; then, the result is compared with the seller’s view by conducting an analytical hierarchy process. The authors exercise 140 valid data from the buyer’s industry and 9 experts from the seller’s industry.

This study finds that in developing customer brand engagement, rational brand quality is the most influential from the buyer’s view and top priority from the seller’s view. Surprisingly, both parties have different perspectives about the second and third priorities. The buyers put emotional brand associations as a second priority; perceived value is meaningless and insignificant. On the contrary, the sellers set the perceived value as the second priority and emotional brand associations as the last.

The respondents from the buyer industry cover various industries, and the research is limited to the buyer and the seller in the chemical polymer emulsion market, a market where product quality and application quality on the buyers’ side are essential and where the buyer–seller interaction is intense. Replicating the study in other industries and cultural backgrounds is recommended for generalization.

The paper’s novelty is that there are different priorities and perspectives from the buyer’s and the seller’s views. This study contributes to industrial brand engagement research studies. Investigation of the buyer’s and the seller’s perspectives in industrial brand engagement research studies is still limited.

Consumers’ engagement with brands online is increasingly important for marketers for both promotion of their brand’s message and sales. The purpose of this paper is to examine if consumers’ brand schematicity, a generalized consumer disposition to process information using brand schema, influenced their proclivity to engage with brands online through consuming and co-creating brand-related content, and the influence of online brand engagement on actual purchase of brands.

Two experiments were conducted to test the hypotheses.

Study 1 shows that brand schematicity increases online brand consumption and online brand co-creation and Study 2 shows that this online brand engagement is not always beneficial to brands in terms of sales. Specifically, because of resource depletion, consumers who co-create brand content online may purchase brands less while those that consume online brand content purchase more brands.

There is a lack of previous research addressing individual differences in consumers’ online brand engagement that this paper investigates. Further, a generalized, dispositional variable such as brand schematicity has not been hitherto investigated in the context of consumers’ online behavior. Finally, this paper shows counter-intuitive effects of online brand engagement on brand purchase.

The “thermodynamic model” constitutes a unified theoretical framework for the coupled simulation of carrier and energy flow in semiconductor devices under general ambient conditions such as, e.g., the presence of a quasi‐static magnetic field or the interaction with an electromagnetic radiation field (light). The current relations governing particle and heat transport are derived from the principles of irreversible phenomenological thermodynamics; the driving forces include drift, diffusion, thermal diffusion, and deflection by the Lorentz force. All transport coefficients may be interpreted in terms of well‐known thermodynamic effects and, hence, can be obtained from theoretical calculations as well as directly from experimental data. The thermodynamic model allows the consistent treatment of a wide variety of physical phenomena which are relevant for both the operation of electronic devices (e.g., lattice heating, hot carrier and low temperature effects) and the function of microsensors and actuators (e.g., thermoelectricity, galvanomagnetism and thermomagnetism).

The money management behaviour of undergraduates is a noteworthy study for many stakeholders, as these students are more likely to carry forward this behaviour into later life. The literature on student money management behaviour heavily focuses on financial literacy. However, economic, social and psychological factors also affect undergraduates’ money management behaviour. Therefore, the purpose of this study is to empirically investigate how undergraduates respond to and account for these factors in their money management behaviour.

This study was carried out in Australia. This study adopted a qualitative exploratory approach. The data were collected using six focus group discussions (FGDs) held in one Australian university, in which 40 undergraduates participated.

The key themes identified from the thematic analysis include undergraduates’ understanding of money management and managing economic, social and psychological aspects relating to undergraduates’ money management behaviour. Several subthemes were identified under each theme, which specifically showed how undergraduates manage and respond to each of these factors relating to their money management behaviour.

This study was conducted with the data collected from a relatively small sample of respondents and was limited only to undergraduates. Moreover, this study was conducted in Australia, indicating that some of the results might be specific to the Australian context.

The authors have suggested promoting multiple payment methods and internet usage to undergraduates, and providing them with stress management programmes will help them maintain prudent money management behaviour.

The extant literature on undergraduates’ money management behaviour tends to focus on financial literacy. This study extends the scope of the literature beyond financial literacy and has shown how undergraduates respond to economic, social and psychological aspects relating to money management behaviour. This study has applied a qualitative exploratory approach, in contrast to quantitative methods which have generally been applied for studies relating to undergraduates’ money management behaviour.