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Two major approaches to manager development in schools are identified. The first provides a tool kit for purposive action; the second is aimed at helping managers cope with the pressures and dilemmas of the job. The need for the sharing and coping style of manager development is traced to the cultural diversity that can exist within schools. Schools, as organisations, are seen within the context of recent work on culture in human service organisations. A framework of manager development which tries to synthesise both approaches within a single perspective is developed.

Concerns the stances that Indian and UK managers take towards ethical issues at work. This topic is part of the broader cross‐cultural research agenda on managerial values. Makes a contribution to the subjects of business ethics and corporate citizenship. The responses of samples of Indian and UK managers to ethical issues were classified, using a research instrument called Redundancy, by eight ethical stances that are defined in a conceptual framework presented. The results are used to clarify issues that arise from the literature about Indian and UK managers’ values. The tentative findings are that Indian managers’ ethical stances were similar to those of Western managers but that, compared with the UK respondents, they were more likely to experience ethical tension between their personal, espoused, stances and those they took at work. The preference for a pragmatic, ethical puzzle, approach to issues, that was reported by both Indian and UK samples, is seen as a problem in developing good corporate citizenship. Presents an agenda for future research.

Comprises Part II of a two‐part exploration of the consequences of variability in the design of appraisal schemes. While Part I was descriptive, Part II suggests prescriptions to help scheme designers to devise proposals which are commensurate with appraisees′ worries, arguments and expectations.

The purpose of this study is to identify how ethical stances can be used to develop a frame set in the design of a web-based decision support system (DSS) for ethical decision-making and to test both the efficacy of these frames and the potential of such a tool for individuals and groups in both leadership development situations and organisational practice. Unethical behaviour by executives is a frequently cited reason for erosion of trust with other stakeholders.

Utilising action research, by choosing ethics frames such as heuristics, a web-based ethics DSS designed to enable users to explore ethical issues from multiple perspectives was constructed and this was beta-tested with a major UK bank and a global oil company.

In orchestrating constant revisions of the ethics frames in the tool, learning from each research cycle was identified, a new form of action research, a design action research, which emphasises the importance of collaboration in the design of such decision-making tools, was offered and the tool for management development and other applications was successfully beta-tested.

It was demonstrated to management developers how web-based systems might be designed by non-information technology professionals; the framing literature was added by demonstrating the value of engaging in dialogue about ethical issues of concern to managers and their organisations and thus improving decision-making; and additions were made to the literature on ethics and Information systems (IS) and contribution toward action research in the fields of IS and ethics was done.

In financial markets investors and borrowers are faced with a whole structure of prices and interest rates on financial instruments. The determination of equilibria in these markets is a complex process and presents a challenge to researchers and practitioners alike. In this article we are concerned with a single section of these markets where we study the relationships between the interest rates or yields on financial securities which can be distinguished from each other (as far as possible) only by their term to maturity. We only cover the structure of money or nominal yields, as an examination of the real returns would require another arti‐cle in itself.

Reproduces the main texts of hitherto unpublished reminiscences of the style and influence, as a teacher, of Allyn Abbott Young (1876‐1929) by 17 of his distinguished students. They include Bertil Ohlin, Nicholas Kaldor, James Angell, Lauchlin Currie, Colin Clark, Howard Ellis, Frank Fetter, Earl Hamilton, and Melvin Knight (brother of Frank Knight who, with Edward Chamberlin, was perhaps Young’s most famous PhD student). There has recently been a revival of interest in Young’s influence on US monetary thought and in his theory of economic growth based on endogenous increasing returns. These recollections of his students (addressed to Young’s biographer, Charles Blitch) shed light on why Young has, at least until recently, been renowned more for his massive erudition than for his published writings.

The purpose of this paper is to identify the flexible aircraft model accurately from the frequency responses.

The frequency domain output error method is used to estimate the aerodynamic (rigid body and elastic body) derivatives, and mode shape parameters in the process of identification of flexible aircraft model. The accurate identification of lightly damped low frequency rigid-body response modes requires a careful selection of the frequency sweep length and the fast Fourier transform (FFT) window size, as the FFT window length cannot be longer than any individual sweep records. To address this issue, an effort is made to derive the FFT window length for the application of frequency domain estimation approach.

The investigations are initially made to select a suitable FFT window size for the accurate identification of the lightly damped low frequency rigid-body response modes of the flexible aircraft. Subsequently, frequency domain estimation approach is applied to simulated data of flexible aircraft. Besides the stability and control derivatives, the structural modes of the flexible aircraft are also estimated as part of state space model identification, and it is shown that all the model parameter estimates are accurate. Identification of such flexible aircraft aerodynamic (rigid body and elastic body) derivatives and structural mode shape parameters will lead to mathematical models of flexible aircraft that are accurate over a wide frequency range. The identified models are validated using the time response of frequency sweep data.

Aircraft system identification is an integral part of aerospace system design and life cycle process. This becomes a complex process when the aircraft has significant effects of flexibility on the flight dynamics, especially as the frequencies of the elastic modes become lower and approach those of the rigid body modes. Thus, an integrated mathematical model of flexible aircraft is required to develop, and it should be valid for a wide frequency range and relevant for the design of flight control system.

This paper focuses on the application of frequency domain approach to identify the valid model of flexible aircraft by estimating the aerodynamic (rigid body and elastic body) derivatives and structural mode shape parameters of flexible aircraft. The unknown frequencies of structural modes are also able to identify accurately in frequency domain. This gives more value addition to analyze the flight data of flexible aircraft, as it is challenging problem in parameter estimation of flexible aircraft.

Imagine Sir Edmund Hillary and Tenzing Norkey arriving at the summit of Everest (29,029 ft) in 1953, only to discover that they were standing on several thousand feet of ice. Imagine the questions that would have followed. Had they climbed the wrong mountain? Could they still legitimately claim to be standing at the highest point on the Earth's surface? How should the heights of mountains be recorded for official purposes?

This paper aims to examine how consumers respond to social media influencers that are created through artificial intelligence (AI) and compares effects to traditional (human) influencers.

Across two empirical studies, the authors examine the efficacy of AI social media influencers. With Study 1, the authors establish baseline effects for AI influencers and investigate how social-psychological distance impacts consumer perceptions. The authors also investigate the role of an influencer’s agency – being autonomous or externally managed – to test the boundaries of the results and determine the interactive effects between influencer type and influencer agency. Study 2 acts as an extension and validation of Study 1, whereby the authors provide generalisability and overlay the role of need for uniqueness as a moderated mediator.

The authors show that there are similarities and differences in the ways in which consumers view AI and human influencers. Importantly, the authors find no difference in terms of intention to follow or personalisation. This suggests that consumers are equally open to follow an AI or human influencer, and they perceive the level of personalisation provided by either influencer type as similar. Furthermore, while an AI influencer is generally perceived as having lower source trust, they are more likely to evoke word-of-mouth intentions. In understanding these effects, the authors show that social distance mediates the relationship between influencer type and the outcomes the authors investigate. Results also show that AI influencers can have a greater effect on consumers who have a high need for uniqueness. Finally, the authors find that a lack of influencer agency has a detrimental effect.

The studies investigate consumers’ general response to AI influencers within the context of Instagram, however, future research might examine consumers’ response to posts promoting specific products across a variety of category contexts and within different social media platforms.

The authors find that in some ways, an AI influencer can be as effective as a human influencer. Indeed, the authors suggest that there may be a spill-over effect from consumer experiences with other AI recommendation systems, meaning that consumers are open to AI influencer recommendations. However, the authors find consistent evidence that AI influencers are trusted less than traditional influencers, hence the authors caution brands from rushing to replace human influencers with their AI counterparts.

This paper offers novel insight into the increasingly prominent phenomenon of the AI influencer. Specifically, it takes initial steps towards developing understanding as to how consumers respond to AI influencers and contrast these effects with human influencers.