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The paper aims to raise awareness in the industry of design automation tools, especially in early design phases, by demonstrating along a case study the seamless integration of a prototypically implemented optimization, supporting design space exploration in the early design phase and an in operational use product configurator, supporting the drafting and detailing of the solution predominantly in the later design phase.

Based on the comparison of modeled as-is and to-be processes of ascent assembly designs with and without design automation tools, an automation roadmap is developed. Using qualitative and quantitative assessments, the potentials and benefits, as well as acceptance and usage aspects, are evaluated.

Engineers tend to consider design automation for routine tasks. Yet, prototypical implementations support the communication and identification of the potential for the early stages of the design process to explore solution spaces. In this context, choosing from and interactively working with automatically generated alternative solutions emerged as a particular focus. Translators, enabling automatic downstream propagation of changes and thus ensuring consistency as to change management were also evaluated to be of major value.

A systematic validation of design automation in design practice is presented. For generalization, more case studies are needed. Further, the derivation of appropriate metrics needs to be investigated to normalize validation of design automation in future research.

Integration of design automation in early design phases has great potential for reducing costs in the market launch. Prototypical implementations are an important ingredient for potential evaluation of actual usage and acceptance before implementing a live system.

There is a lack of systematic validation of design automation tools supporting early design phases. In this context, this work contributes a systematically validated industrial case study. Early design-phases-support technology transfer is important because of high leverage potential.

The United Nation's 2030 mission provides scholars, practitioners and governments with a valuable framework to direct their research in a way that tackles societal issues. Towards this aim, some key Sustainable Development Goals focus on improving the well-being of humans and societies; however, the literature dealing with individual financial well-being is still underdeveloped and fragmented. To address this significant research gap, this paper reviews the literature on financial well-being. It provides an in-depth analysis of different theories, mediators and moderators employed in financial well-being studies to deepen the theoretical framework and widen the scope of financial well-being research.

Using the Web of Science Core Collection database (WoS), the literature on financial well-being was reviewed (n = 32) following a systematic review approach.

Findings revealed that (a) there is a limited application of theories in financial well-being studies (n = 19) with the majority of studies (n = 15) employing only one theory; (b) twenty-one different theories were used with the maximum number of theories employed by any study was four; (c) the theory of planned behavior was the most commonly used (n = 4); (d) While a reasonable number of studies examine mediators and moderators in antecedents-financial well-being relationships, studies examining mediators and moderators relationships in financial well-being-outcomes relationships are limited. Based on these findings, this review identified a need for future theory-based financial well-being research and examining the role of underlying and intervening mechanisms in antecedents-financial well-being-outcomes relationships.

The study concludes by suggesting some relevant theories and prospective variables that can explain potential financial well-being relationships. To the best of the author's knowledge, this is the first review on the use of theories, mediators and moderators in financial well-being studies.

The purpose of this paper is to present an Australian case study and to explore how social enterprises may be conceptualised as spaces of well-being, that is the ways in which social enterprises, not explicitly delivering health services, may be producing health and well-being benefits for those who come into contact with them.

A case study in Australia is used to explore in depth the mechanisms of well-being production. Data were collected using ethnographic observation, focus groups and walking interviews. Data were analysed using thematic analysis, GIS and the lens of therapeutic assemblage.

The case study social enterprise produces well-being as integration, capability, security and therapy. The social enterprise acts as a therapeutic assemblage with well-being “spoken”, “practiced” and “felt” within the social enterprise. The ways in which well-being is generated are often linked to the productive element of enterprise – and have the potential to contribute to tackling several contemporary health challenges and inequalities relating to, for example, a lack of physical activity and levels of social isolation.

This paper draws on a single Australian case study but points to the need for further in-depth work in the area of social enterprise and health.

The paper advances our understanding of how social enterprises may be linked to health and well-being. It goes beyond quantification of, for example, number of clients helped, to consider the wider experience of well-being for those who come into contact with social enterprises.

Sayings like “Do what you love, and you’ll never work a day in your life” epitomize Western society’s emphasis on both the importance and assumed positive nature of passion for work. Although research has linked passion and increased well-being, growing anecdotal evidence suggests the potential for negative individual outcomes of work passion, including decreased well-being and increased stress and burnout. In the present chapter, the authors integrate the Dualistic Model of Passion (which consists of harmonious and obsessive passion), identity theory, and identity threat to describe the paradox of passion, in which individuals overidentify with the target of their passion (i.e., work), resulting in the “too much of a good thing” effect driven by excess passion of either type. The authors thus provide a novel theoretical lens through which to examine the different reactions that individuals may enact in response to threats to passion-related identities, including how these responses might differentially impact well-being, stress, and burnout. The authors conclude by offering future directions for research on the paradox of passion.

The purpose of the present study was to describe the high potential identification practices of Canadian organizations and to assess elements of these practices as they relate to managers' perceptions of organizational justice.

The study reviewed the literature on high potential identification practices and organizational justice to develop a survey for managers attending a leadership conference. Distributive and procedural justice was regressed against the elements of these programs (e.g. the extent of manager input into the program, the openness of communications) to determine the impact of program elements on justice outcomes.

The paper reveals that approximately one‐third (38 percent) of companies reported having a high potential identification program. High potential was most often defined in specific organizational terms based on competencies. Typically, information used to identify these individuals was based on: personal experience with the person, performance appraisals and past performance or results. Hierarchical linear modeling analyses (n=123) indicated that high potential identification programs containing manager input, open communication and formal program evaluation significantly predicted procedural justice. None of the predictions for distributive justice were significant.

This study is the first to empirically investigate the impact of high potential identification practices on managers' perceptions of organizational justice in North America. Manager's justice perceptions reflect an important criterion to evaluate high potential identification programs. The current study found that manager's perceptions of procedural justice were higher when they had more input into the development of the program, when the communication strategy was more open, and the program was evaluated. Despite these important elements, many organizations do not incorporate them into their programs, which have implications for their success.

The purpose of this paper is to present detailed algorithms for simulation of individual and group control of production wells in hydrocarbon reservoirs which are implemented in a finite volume-based reservoir simulator.

The algorithm for individual control is described for the multi-lateral multi-connection ones based on the multi-segment model considering cross-flow. Moreover, a general group control algorithm is proposed which can be coupled with any well model that can handle a constraint and returns the flow rates. The performance of oil production process based on the group control criteria is investigated and compared for various cases.

The proposed algorithm for group control of production wells is a non-optimization iterative scheme converging within a few number of iterations. The numerical results of many computer runs indicate that the nominal power of the production wells, in general, is the best group control criterion for the proposed algorithm. The production well group control with a proper criterion can generally improve the oil recovery process at negligible computational costs when compared with individual control of production wells.

Although the group control algorithm is implemented for both production and injection wells in the developed simulator, the numerical algorithm is here described only for production wells to provide more details.

The proposed algorithm can be coupled with any well model providing the fluid flow rates and can be efficiently used for group control of production wells. In addition, the calculated flow rates of the production wells based on the group control algorithm can be used as candidate solutions for the optimizer in the simulation-optimization models. It may reduce the total number of iterations and consequently the computational cost of the simulation-optimization models for the well control problem.

A complete and detailed description of ingredients of an efficient well group control algorithm for the hydrocarbon reservoir is presented. Five group control criteria are extracted from the physical, geometrical and operating conditions of the wells/reservoir. These are the target rate, weighted potential, ultimate rate and introduced nominal power of the production wells. The performance of the group control of production wells with different group control criteria is compared in three different oil production scenarios from a black-oil and highly heterogeneous reservoir.

Technological progress and the advancement of the 4th Industrial Revolution (IR 4.0) are well underway. However, its influence on the transformation of core sectors from the perspective of consumer well-being remains under-explored. Seeking to bridge this gap in the marketing and public policy literature, this study aims to propose a conceptual framework to explicate how data-driven, intelligent and connected IR 4.0 technologies are blurring traditional boundaries between digital, physical and biological domains.

This is a conceptual paper using primarily a literature review of the field. The authors position the work as a contribution to consumer well-being and public policy literature from the lens of increasingly important in our technology-integrated society emerging technologies.

The authors define and conceptualize technology-enabled well-being (TEW), which allows a better understanding of transformative outcomes of IR 4.0 on three essential dimensions of consumer well-being: individual, societal and environmental. Finally, the authors discuss public policy implications and outline future research directions.

The authors highlight specific gaps in the literature on IR 4.0. First, past studies in consumer well-being did not incorporate substantial changes that emerging IR 4.0 technologies bring, especially across increasingly blurring digital, physical and biological domains. Second, past research focused on individual technologies and individual well-being. What is unaccounted for is the potential for a synergetic, proactive effect that emerging technologies bring on the aggregate level not only to individuals but also to society and the environment. Finally, understanding the differences between responses to different outcomes of technologies has important implications for developing public policy. Synergetic, proactive effect of technologies on core sectors such as healthcare, education, financial services, manufacturing and retailing is noted.

This research seeks to understand whether employer branding (EB) and internal marketing (IM) are fundamental to the challenge of attracting and retaining talent and how these strategies can help companies to overcome the difficulties related to the talent shortage, from the perspective of a SME Portuguese metallurgical industry.

The research resorts to a case study of a qualitative nature, through a semi-structured interview with the head of the human resources (HR) training and development area of the Navarra Group, and quantitative, through surveys to its employees. Based on the literature, a conceptual model was constructed, whose application allowed us to perceive the relationships between the practices of EB and IM; satisfaction, motivation and commitment; attraction and retention.

The exploratory interview concluded that organizations consider EB and IM essential for an effective talent management strategy. The quantitative results demonstrate that IM and EB practices implemented in the organization contribute to the satisfaction, motivation and involvement of employees, which results in a decrease in the intention to leave. It is also noted that these practices promote an increase in the perception of organizational attractiveness, which represents a positive impact on its ability to attract.

From a theoretical perspective, the research contributes to the development of knowledge about IM, EB and talent management, providing relevant data that can help define the best strategies for attraction and retention, from the point of view of IM and EB.

The research presents preliminary insights that can be an auxiliary tool for HR managers and professionals in the context of industrial SMEs.

This study aims to explore the use and relevance of WALYs (well-being-adjusted life years) in light of the utilitarian premises of neoclassical economics that continue to dominate health outcomes evaluation. QALYs (quality-adjusted life years) and DALYs (disability-adjusted life years) measure longevity and quality of life in terms of purely health-related aspects and outcomes of medical interventions. However, evaluative questions of subjective well-being may be equally important in comparing outcomes and cost-effectiveness of these interventions.

A two-phase online search strategy for refereed research on dry eye treatment with omega-3 fatty acids (omega-3s) was adopted. Phase I aimed to identify and contrast clinical parameters of efficacy in omega-3 dietary supplementation. Phase II aimed to find a preference-based, multi-attribute utility instrument specific and sensitive enough to dry eye and its consequences on patients’ subjective well-being. We then illustrate how WALYs can be conceptualized and calculated based on the search results.

Empiric therapies like omega-3s can be assessed in terms of reducing or relieving symptomatic discomfort and pain, and enabling the patient to enjoy life and derive satisfaction from daily activities. We find in VisQoL (Vision and Quality of Life Index) a viable alternative to conventional multi-attribute utility instruments, including those typically used in QALY and DALY calculations. Clinical efficacy indices of dry eye can be linked to VisQoL’s quality of life dimensions. Differently weighted outcomes can be aggregated. And WALYs per patient per year can be computed by scaling aggregated outcomes to match the WALY rating scale. The implications of subjective well-being for both patient and society can thus be approached from a broader and richer perspective.

To the best of our knowledge, this is the first study of its kind in pharmaceutical outcomes valuation and marketing. It offers a framework for analyzing life satisfaction and well-being among dry eye patients under treatment. It is also the first to use and adapt a multi-attribute utility measure to treatment outcomes of omega-3s in ocular diseases, from which this study suggests WALYs may be computed. However, it does not suggest that WALYs should supplant QALYs and DALYs in evaluating health outcomes. Medical economics is enriched if alternative methods of outcomes evaluations can help fill in the gaps in existing paradigms and do so by accounting for other effects of condition-specific interventions. Costs and benefits of interventions to the individual and society can then be valued not just more effectively, but also more equitably.

The purpose of this paper is to investigate the potential roles for service robots (i.e. socially assistive robots) in value networks of elderly care. Taking an elderly person’s perspective, it defines robot roles according to their value co-creating/destroying potential for the elderly user (i.e. focal actor), while acknowledging consequences for a network of users around the elderly (i.e. network actors).

This qualitative, interpretative study employs in-depth phenomenographic interviews, supported by generative cards activities (i.e. Contextual Value Network Mapping), to elicit an elderly person’s tacit knowledge and anticipate the effects of introducing an automated actor on institutionalized value co-creation practices.

The proposed typology identifies six roles of socially assistive robots in an elderly person’s value network (enabler, intruder, ally, replacement, extended self, and deactivator) and links them to three health-supporting functions by robots: safeguarding, social contact, and cognitive support.

Elderly people have notable expectations about the inclusion of a socially assistive robot as a new actor in their value networks. The identified robot roles inform service scholars and managers about both the value co-destruction potential that needs to be avoided through careful designs and the value co-creation potential that should be leveraged.

Using network-conscious phenomenographic interviews before the introduction of a novel value proposition sheds new light on the shifting value co-creation interplay among value network actors (i.e. elderly people, formal and informal caregivers). The value co-creation/destruction potential of socially assistive robots and their corresponding roles in care-based value networks offer insights for the design of meaningful robotic technology and its introduction into the existing service networks.