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As consumer debt can substantially impair subjective well-being, it is crucial for research to gain insights into how consumers can be motivated to improve financial planning. This paper aims to investigate how frontline employees in financial services can help consumers regulate their financial planning behaviors and how financial service providers can effectively support their frontline employees in this effort through leadership and organizational climate.

We incorporate regulatory focus theory and conservation of resource theory to develop a conceptual model that we test in a triadic study with a unique dataset collected from consumers, frontline employees, and managers in the banking sector.

We find that frontline employees must pay attention to the details of consumers’ needs and customize the service to those needs to trigger consumer promotion focus and stimulate consumers’ financial planning behaviors. Moreover, our results emphasize that the organization must act as an integrated entity. Thus, a manager’s servant leadership and an organizational climate of customer stewardship are crucial for frontline employees to transform consumers’ financial planning behaviors.

The study highlights frontline employees’ key role in motivating consumer financial planning behavior, offering a new perspective in transformative service research on enhancing financial well-being.

The findings provide financial service providers with actionable implications for enhancing consumers’ financial planning. This benefits both consumers and financial institutions, as customers with greater spending power can buy more financial products.

This study advances transformative service research on consumer financial planning behavior, which has largely focused on consumer-related or society-level variables, by exploring the role of frontline employees and organizational support in terms of leadership and climate.

This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach.

The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0.

Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations.

While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits.

This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.

Inspired by the high-friction performance of the soft toe pads of tree frogs, this study aims to investigate the effect of elastic deformation on the lubrication properties of squeezing films inside soft tribocontacts with microstructured surface under wet conditions.

A one-dimensional hydrodynamic extrusion model was used to study the film lubrication characteristics of conformal contact. The lubrication characteristics of the extruded film, including load-carrying capacity, liquid flow and surface elastic deformation, were obtained through the simultaneously iterative solution of the fluid-governing and deformation equations.

The results show that the hydrodynamic pressure is approximating parabolically and symmetrically distributed in the contact area, and the peak value appears in the center of the extrusion surface. Elastic deformation increases the thickness of the liquid film, weakens the bearing capacity and homogenizes the liquid flow rate of inside soft friction contact. The magnitude of this effect greatly increases as the initial liquid film thickness decreases. Moreover, the elastic deformation directly affects the average film thickness of the extrusion contact. Narrow and shallow microchannels are found to result in a more prominent elastic deformation on the microstructured soft surface.

These results present a design for soft tribocontacts suitable for submerged or wet environments involving high friction, such as wiper blades, in situ flexible electrons and underwater robots.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0049/

The factors involved in and obstacles to sharing economy adoption have been studied with several methods, and several models have occurred to clarify the underlying procedure of sharing economy (SE) adoption, which provide contradictory and scattered findings. This chapter seeks to offer a scientific outline of the academic structure of the SE adoption domain.

In observing several Central and Eastern European Union countries facing systemic challenges to their dependent growth models, most notably Hungary and Poland, the resilience of foreign-dependent and export-led growth in Slovakia remains puzzling, especially in the context of relatively high levels of socioeconomic disintegration. Failing to identify the systemic distinctions of Slovakia's GM growth model against the backdrop of the broader political economy of the Visegrad region, this chapter seeks to explain the apparent differences through the politics of growth model approach, adjusted for the purposes of advanced peripheral economies. It is argued that an important explanans to the resilience of foreign-dependent growth in Slovakia can be traced back to the unexpected constellation of neoliberal forces governing in the early 2000s and their implementation of avant-garde neoliberal policies aimed at outbidding regional competitors in foreign investment attraction. Facing growing socioeconomic discontent and anticipating that national populists would assume power, the outgoing neoliberal government tied the hands of its successors by committing to a euro adoption strategy, which the subsequent administration was unable to reverse. Consequently, the lasting resilience of Slovakia's growth model lies in the interactions between a cross-class enduring domestic growth coalition with a trans-coalitional commitment to catering to the needs of transnational manufacturing capital on the one hand, and external constraints, most notably membership in the European Monetary Union (EMU), on the other.

Evaluation and evaluative design aim to assess the impact of programmes, services and interventions. Underpinned by programme logics and theories of change, evaluation aims to assess intervention effectiveness and to determine an intervention’s capacity to produce the intended change and achieve ‘success’. This chapter is focused on evaluative data and the stories that data and its production make (in)visible and the excess data that gets left behind. I document the ways that health interventions use evidence and the shifts in evaluation towards making sense of the complex contexts and systems where interventions are embedded. Taking digital health interventions as an example of a critical contemporary shift in health, I examine the ways digital data is used to offer ‘evidence’ of interventions and how data excess emerges in evaluative research where potentially useful data is not collected or is ignored as seemingly irrelevant. Here, I situate excess in two ways. The first is in relation to the broadening of data that emerges with new digital technologies and what it promises. The second form of excess is data about social life, complexity and practices, which can get left behind when there is a focus on the ‘digital’. I argue that continuing to interrogate the use(s) of digital data is critical for situating health within complex contexts and social practices of everyday life. Excess offers a useful framing to make sense of data and its (non)uses and the implications of such actions in evaluative research.

Firm community service initiatives are popular and generally seen as positive developments. However, moral licensing theory suggests engaging in community service (acting morally) can facilitate subsequent immoral behavior, which could diminish audit quality. In a series of experiments with practicing auditors, we provide evidence that voluntary community service causes moral licensing, but mandatory service (i.e., participation in a firm-wide event) attenuates moral licensing. Compared to a control group, auditors who voluntarily committed to a service activity engaged in more dysfunctional audit behavior, but auditors who were told they would be participating in a firm-directed service event did not. Our study highlights an unintended consequence of employee volunteerism, and contributes to research on audit quality, and ethical behavior in professional settings.

In this chapter, the authors present an argument and illustrations for how transdisciplinary research and education in close collaboration between universities and non-academic partners in municipalities can contribute to building transformative capacities in cities to tackle grand societal challenges such as climate change. Governing transformative change requires new types of capacities and capabilities of the public sector such as new organizational structures, competencies, and administrative rules and processes. Current urban governance structures often are not adequate to deal with the type of challenges urban sustainability transitions pose: the systemic nature of the problems, the absence of clearly defined solutions in combination with a high level of uncertainty about goals and pathways to reach them, the long-time-perspective and complexity of change processes which need to involve a broad range of actors and stakeholders, or the need to work across different sectors and policy fields. Boundary-crossing research and education activities between universities and the public sector can simultaneously enhance our understanding of new governance strategies for transformative change and our joint capacity to implement them. In this chapter, the authors draw on examples of such collaborations which are dealing with key elements of urban transformative capacities such as a better understanding of systemic dimensions of change, a shift to experimental governance approaches, and at the same time systemic integration of experiments and initiatives, the development of processes for reflexive monitoring and learning, or the need to integrate policy areas such as climate and social policy.