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This chapter adds to emerging research exploring the construct of joy by drawing attention to the value of more loving stakeholder relationships. Relationship management research has focussed attention on the antecedents, outcomes and quality of an organization's relationships with various publics and stakeholders and has examined strategies that can nurture these relationships. However, not much of this research has addressed intimacy and passion in these relationships.

Accordingly, this chapter draws on the theory of brand love developed in relationship marketing research and the theory of love from psychological research to build a theoretical framework of organization–stakeholder love (OSL) that can be applied to organizational relationships with publics and stakeholders. An OSL framework switches emphasis from how organizations can attract stakeholder affection (e.g., love) towards organizations to how organizations can and should love their stakeholders. The proposition put forward in this chapter is that OSL can and should become a driving force behind organizations' interactions with stakeholders, thus contributing to ethical public relations practices.

OSL is important because it has the potential to contribute to addressing public relations' image problems (e.g., relating to terms such as spin and corporate greenwashing); it offers a new love orientation that guides organizations towards a focus on the primacy of stakeholder needs and values, which in turn may shape the way organizations initiate and manage relationships with stakeholders. This chapter concludes with practical ways to implement OSL and a research agenda suggesting ways OSL may open up new research opportunities in public relations.

Mathematics is associated with abstraction, generality, and simplicity, whereas reality is associated with specificity and complexity. Because of this, it might be argued that the humanities disciplines are better than mathematics at providing accounts of the history of societies and the lives of individuals. The aim here is to counter this argument by presenting a mathematical account of a specific complex social reality. This is in accordance with recent appeals to peace scientists to engage with scholars in history and other humanities disciplines. Here, Shakespeare's A Midsummer Night's Dream is studied. The advantage of studying this piece is that the set of events is sufficiently complex to present a challenge to the modeler and yet sufficiently circumscribed to allow a reasonable coverage of the entire reality within the space of a paper.

The play is analyzed in terms of mathematical social science concepts. The analysis considers how people and groups participate in within-group and between-group activities over space and time. The value and power relationships in the activities are analyzed and the following concepts are deployed: roles, rules, hierarchy, anarchy, social divisions, and inequality. Some of the activities involve movement through space-time, and the set of movements can give rise to encounters. These may or may not be planned, and so alternative histories are in play. The analysis then switches to a more detailed level, and dialogic expressions of power relationships are noted. Finally, the logical structure of beliefs and dialogue is analyzed using “dynamic social propositional calculus.”

Role-taking is a basic social process underpinning much of the structural social psychology paradigm – a paradigm built on empirical studies of human interaction. Yet today, our social worlds are occupied by bots, voice assistants, decision aids, and other machinic entities collectively referred to as artificial intelligence (AI). The integration of AI into daily life presents both challenges and opportunities for social psychologists. Through a vignette study, the authors investigate role-taking and gender in human-AI relations.

Participants read a first-person narrative attributed to either a human or AI, with varied gender presentation based on a feminine or masculine first name. Participants then infer the narrator's thoughts and feelings and report on their own emotions, producing indicators of cognitive and affective role-taking. The authors supplement results with qualitative analysis from two open-ended survey questions.

Participants score higher on role-taking measures when the narrator is human versus AI. However, gender dynamics differ between human and AI conditions. When the text is attributed to a human, masculinized narrators elicit stronger role-taking responses than their feminized counterparts, and women participants score higher on role-taking measures than men. This aligns with prior research on gender, status, and role-taking variation. When the text is attributed to an AI, results deviate from established findings and in some cases, reverse.

This first study of human-AI role-taking tests the scope of key theoretical tenets and sets a foundation for addressing group processes in a newly emergent form.

The purpose of this study is to develop and empirically test a lovemark measure that can be used to identify how brands of wireless-enabled computing devices are classified based on customers’ respect and love toward them.

On evidence drawn from 1,016 consumers of wireless-enabled computing devices (e.g. netbooks and tablets) in Greece, partial least squares method is used to test the validity of the proposed hierarchical model.

Results show that a lovemark measure can be conceptualized as a third-order reflective construct having respect and love as its second-order dimensions. In turn, respect reflects on brand performance, trust and reputation, and love reflects on brand commitment, intimacy and passion. The proposed measure presents a very good external validity as it can explain big portions of variance in consumer responses including repurchase intentions, positive WOM and willingness to pay a price premium. Finally, the proposed measure is used to classify eight well-known devices as products, fads, brands and lovemarks and identify the love styles associated with brand relationships.

This paper provides empirical evidence for measuring and identifying lovemarks using a hierarchical model, which can be further used to develop a more effective strategy for managing the functional and emotional aspects of brands to strengthen consumer-brand relationships.

El objetivo de este estudio es el desarrollo metodológico y validación empírica de una escala para clasificar las marcas de productos tecnológicos en base a las dos dimensiones que caracterizan a las marcas Lovemark: el respecto y amor.

Con una base de datos recogidos de una muestra de 1.106 consumidores de productos tecnológicos (e.g., tablets y portátiles pequeños) en Grecia, se usa PLS para testar la validez del modelo jerárquico propuesto.

Los resultados ponen de manifiesto que el concepto Lovemark puede ser conceptualizado como un constructo reflectivo de tres dimensiones siendo el respeto y el amor hacia la marca las dimensiones de segundo orden. A su vez, el respeto hacia la marca refleja el desempeño, la confianza y reputación de la marca mientras que el amor queda reflejado en conceptos tales como el compromiso, la intimidad y la pasión. La medida propuesta presenta una aceptable validez externa pues es capaz de explicar mayor porcentaje de la varianza de las intenciones de compra, la comunicación boca-oreja positiva y la disposición a pagar un mayor precio por la marca. Finalmente, se demuestra la utilidad de la medida propuesta para clasificar ocho marcas conocidas según los niveles de amor y respeto que los consumidores manifiestan hacia las mismas así como identificar los estilos de amor asociados a la relación que los consumidores mantienen con estas marcas.

Este trabajo ofrece evidencias empíricas para medir e identificar las Lovemark usando un modelo jeráquico que puede ser utilizado posteriormente para desarrollar una estrategia más efectiva en la gestión de los aspectos funcionales y emocionales de las marcas como medio para fortalecer las relaciones marca-consumidor.

Purpose – This chapter explores the effects of persistent identity nonverification on the emotional, cognitive, and behavioral responses used to “reclaim” an identity within the perceptual control model of identity theory.

Methodology/Approach – We conducted a within-subjects experiment invoking the “student” identity to examine the relationship between the persistence of nonverification and emotional, cognitive, and behavioral reactions.

Findings – Contrary to identity theory, we find the effect of persistent nonverification on negative emotion and behavior change is curvilinear (rather than linear). Low persistence produced the least negative emotion, but medium and high persistence produced comparably higher levels of negative emotion. For behavior change, the relationship is curvilinear and opposite what identity theory would expect: low persistence produced the greatest (rather than least) behavior change. For cognitive reactions, we find support for identity theory: persistent nonverification has a negative (linear) effect on the perceived accuracy of feedback. We conclude that while individuals accurately perceive the degree to which identity-relevant feedback is discrepant, “too much” nonverification produces excessive negative emotion and dismissal of social feedback with little behavioral modification.

Practical Implications – Program interventions based on identity theory may focus on maximizing identity verification as a means of shaping positive identities and behaviors. Our research suggests that there may be a “goldilocks zone” where small amounts of nonverification lead to more positive outcomes.

Originality/Value of the Chapter – This chapter examines persistence of identity nonverification in connection with more or less immediate cognitive and behavioral (not just affective) responses, which has not yet been done in identity theory research.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This paper examines the relationship between open innovation (measured by exploratory and exploitative linkages) and firm-level innovative activity in the offshore renewable energy (ORE) sector.

A unique, purpose-built survey that targeted firms operating in the ORE sector and its supply chain was used. The data provides novel insights into the research activities and networking capabilities of an industry in its infant stages of development. Regression models are used to estimate the relationship between firm-level external linkages and innovative activity.

Exploratory linkages are positively related to more innovative activity. This relationship is subject to diminishing returns, distinguishing the ORE sector from other sectors. Collaborating with suppliers and accessing scientific journals are conducive to research and development (R&D) activity and process innovation, whilst collaborating with customers is associated with the decision to introduce new products and processes.

This study provides evidence of a positive, but curvilinear, relationship between external knowledge linkages and innovative activity, adding novel insights into the relationship between open innovation (OI) strategies, research and innovation outcomes for firms predominantly in the introductory stages of the technological life cycle with limited commercialisation experience. The nuanced finding that specific linkages matter for certain research and innovation (R&I) outcomes adds deeper complexity to March’s (1991) framework, where tailoring certain exploratory or exploitative linkages to specific innovation activities is important.

The purpose of this paper is to investigate the innovation value chain (IVC) that encompasses knowledge sourcing, transformation and exploitation activities among Indonesian manufacturing firms by using data from the Indonesia Innovation Survey.

A simple approach of single equation Probit model, Logit regression and Tobit regression are used in the first, second and third stages of IVC consecutively.

This study finds the existence of a synergistic relationship between internal and external sources of knowledge as well as among external sources of knowledge. In terms of the second link of the IVC, internal R&D plays an important role that positively influences knowledge transformation into all types of innovation and innovation success. External knowledge that has a similar pattern in shaping innovation mainly comes from market and open sources. Scientific institutions tend to contribute to innovation negatively, and few positive impacts on process innovation are observed from government R&D and non-profit R&D institutions. Informal knowledge is more likely to influence technological than non-technological innovation.

Finally, the limitations of this study need to be acknowledged. Issues related to firms’ sectors have not been discussed in this study, and as a result, sectors’ effects on the three links of IVC cannot be detected. This study is a cross-sectional in nature, as a result, the dynamic of Indonesian manufacturing firms’ IVC is missing. Hence, future studies may address this limitation by conducting a longitudinal study.

This study is different from the previous IVC studies owing to the following reasons. Firstly, in this study, a broader source of knowledge is tested. Secondly, the wider innovation (technological and non-technological innovation) is also assessed.

The study aims to evaluate: (1) How university students from interior architecture can create a forward-looking “Sensory Living” brief informed by both external autism experts and a specialist tutor, evidenced through Leeds City Council's live autism adult accommodation project. (2) Issues involved with moving an experimental studio teaching model online during the COVID-19 pandemic.

A grounded theory approach informs an innovative teaching model, run over two years, to create a better normal; challenges and opportunities are critiqued.

Feedback from experienced autism-specific experts raises recurring sensory and communication issues which frame a series of design problems to help inform the student briefs. Students learn that the designer as advocate for vulnerable users is imperative. Aspects of online teaching that can benefit an experimental studio teaching model are identified.

Identification of the responsive “Sensory Living Model” illustrates (1) How local authorities can avoid seclusion and integrate meaningful “continuous learning opportunities” into autism-friendly adult accommodation for post-pandemic health and wellbeing. (2) How to embed autism-friendly design in the university curriculum.

The study helps address some of the UK Government's “National strategy for autistic children, young people and adults: 2021 to 2026”.

“Ten Novel Sensory Living Themes” are uncovered to help inform the design of autism-friendly adult accommodation. These are of value to (1) local authorities and design practitioners in formulating design briefs and (2) universities in educating future designers of inclusive spaces.