Search results

This study is an extension of an etic‐emic analysis of the individualism‐collectivism construct at the sociopsychological level to an organizational context. At the first level of comparison, strong and weak etics were extracted to permit comparability of values. At the second level, emic elements were produced to provide a basis of intercultural comparisons. Purely individualistic, purely collectivist and multidimensional factors emerged for the ten nations under consideration.

The purpose of this paper is to present The Build and Bond, an experiential exercise which engages student teams while they apply team dynamics, enhance team skills and foster team member interpersonal bonds.

During The Build and Bond, teams design and execute their own team-building activity. Specifically, teams set goals, generate ideas, make decisions, create a team-building activity, develop implementation plans and ultimately execute the activity. Finally, during an all-class debrief discussion, teams describe their team-building activities, connect their experiences to the learning objectives and reflect on how these lessons can be applied in future team experiences. Pretest and posttest surveys were used to determine if participants perceived increases in team performance and cohesion following The Build and Bond.

All teams reported that their activity added value, was preferred over an instructor-assigned team-building activity and improved team states. Findings from t-tests supported an improvement in team performance and cohesion.

The Build and Bond is designed to help students feel more equipped to communicate, have fun and work interdependently with current and future team members.

Teams design the team-building activity themselves, so members are often more interested in participating and engaging during the team-building activity.

This chapter argues the importance of ritualised family occasions in the moral economy of intergenerational families. The chapter draws on 34 semi-biographical interviews with 13 men and 21 women aged 20–90, focussing on stories about troubled or failed rituals. The analysis shows that family members depend on the support and recognition of each other to maintain their moral identities. Ritualised occasions work as magnifying glasses, focussing and intensifying the ongoing relationship work, and forcing family members to take stock and signpost the state of their social bond, and as cultural reference points, providing a window into normative expectations of how parents and adult children should perform relatedness.

To comply with the adopted Paris Agreement, global finance flows must be measured against climate scenarios consistent with possible pathways towards limiting global warming to 2°C or less. For this, there must be proven and accepted accounting principles for assessing financial plans of climate relevant actors against climate models. As there are a variety of data sources describing the financial plans of relevant actors, these principles must accommodate a variety of reported information, while still yielding relevant metrics to different stakeholders. The paper aims to discuss these issues.

A set of accounting principles tested by governments, financial supervisory bodies and both institutional investors and mangers, covering global-listed equity and corporate bond investment is described.

The application illustrates that a common set of accounting principles can act across both asset classes and provide relevant metrics to multiple stakeholders.

The principles require data of varying quality and are ultimately unverified. Thus, the definitive quality of the output metrics is uncertain and is yet to be characterized. The principles are yet to be applied to the credit market as the information is seldom publicly available, but it too plays an important role in the required market transition and therefore must be incorporated into these guiding principles of analysis.

The principles allow for standardised assessment of financial flows of equity and corporate debt with global climate scenarios.

It illustrates the acceptance of a common set of accounting principles that is relevant across different actors and asset classes and summarizes the principles underlying the first climate finance scenario analyses.

Gary Parr, deputy chairman of Lazard Freres & Co. and Kellogg class of 1980, could not believe his ears. “You can't mean that,” he said, reacting to the lowered bid given by Doug Braunstein, JP Morgan head of investment banking, for Parr's client, legendary investment bank Bear Stearns. Less than eighteen months after trading at an all-time high of $172.61 a share, Bear now had little choice but to accept Morgan's humiliating $2-per-share, Federal Reserve-sanctioned bailout offer. “I'll have to get back to you.” Hanging up the phone, Parr leaned back and gave an exhausted sigh. Rumors had swirled around Bear ever since two of its hedge funds imploded as a result of the subprime housing crisis, but time and again, the scrappy Bear appeared to have weathered the storm. Parr's efforts to find a capital infusion for the bank had resulted in lengthy discussions and marathon due diligence sessions, but one after another, potential investors had backed away, scared off in part by Bear's sizable mortgage holdings at a time when every bank on Wall Street was reducing its positions and taking massive write-downs in the asset class. In the past week, those rumors had reached a fever pitch, with financial analysts openly questioning Bear's ability to continue operations and its clients running for the exits. Now Sunday afternoon, it had already been a long weekend, and it would almost certainly be a long night, as the Fed-backed bailout of Bear would require onerous negotiations before Monday's market open. By morning, the eighty-five-year-old investment bank, which had survived the Great Depression, the savings and loan crisis, and the dot-com implosion, would cease to exist as an independent firm. Pausing briefly before calling CEO Alan Schwartz and the rest of Bear's board, Parr allowed himself a moment of reflection. How had it all happened?

An analysis of the fall of Bear Stearns facilitates an understanding of the difficulties affecting the entire investment banking industry: high leverage, overreliance on short-term financing, excessive risk taking on proprietary trading and asset management desks, and myopic senior management all contributed to the massive losses and loss of confidence. The impact on the global economy was of epic proportions.

The purpose of this paper is to examine the role of assisted desistance from the perspective of women involved in the criminal justice system. It focusses on two community projects set up in the aftermath of the 2007 Corston Report, Northshire Women’s Centres (WCs) and the Housing for Northshire project.

Through analysis of a year of observation in these settings and 23 narrative interviews with staff and service users, the paper notes the differences between risk-focussed and desistance-focussed justice for women.

Neither projects are a panacea; however, they offer an insight into desistance-focussed practice. The findings would suggest that the projects provide social justice as opposed to criminal justice, particularly because of their flexible approach and awareness of the relational elements involved in female desistance.

The in-depth, qualitative data provided challenges the “payment by results” rhetoric which demands positivist research that promotes an understanding of desistance as a binary outcome. Implications for policy are considered.

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.

Through all the villains that James Bond has encountered on his globe-trotting adventures – from Dr No to Auric Goldfinger, Drax to Le Chiffre and Rosa Klebb to Xenia Onatopp – one villain has remained a constant threat to both Bond and world security. Whether hiding behind a corrugated screen, living on a mountain top lair, working from a hollowed-out volcanic rocket site, or sitting in a wheelchair, Ernst Stavro Blofeld has proved time and time again to be a thorn in Bond’s side.

This chapter will investigate the changing appearances of Blofeld across the Eon Productions’ film franchise. It will consider the concept of Blofeld as Bond’s alter-ego, whilst offering in-depth analysis of just how – and why – this master-nemesis remains firmly rooted in Bond’s filmic adventures, whilst cementing his position as the villain most associated with the series.

In recent years, with the advent of the phenomenon known as corporate social responsibility (CSR), transnational corporations have moved away from traditional modes of philanthropic largesse, to a focus on ‘community engagement’, partnership, empowerment and ‘social investment’. This chapter draws on ethnographic research, tracing the practise of CSR in a transnational mining company, from its corporate headquarters in London, to its mining operations on South Africa's platinum belt. It explores how the practices of corporate–community partnership – and the goal of ‘self-sustainability’ that the company propounds – project the company as a vehicle of empowerment as it strives to convert ‘beneficiaries’ to the values and virtues of the market with an injunction to ‘help yourself’ to a piece of ‘the market’ and share the opportunities that it offers. However, while the promise of CSR holds out this vision of mutual independence and self-sustainability, I argue that the practise of CSR reinscribes older relations of patronage and clientelism which recreate the coercive bonds of ‘the gift’, inspiring deference and dependence, on the part of the recipient, rather than autonomy and empowerment.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.