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In this chapter, the authors consider the progress and present state of star scholarship, while planting seeds for future inquiry where we believe fruitful opportunities await – both in furthering our understanding of stars and in more effectively situating this understanding in the talent management literature. Following a reflection on the multiple conceptualizations of stars that have been proposed and employed in star research in recent years, we suggest that the most useful conceptualization of stars is one that focuses simply on stars’ exceptional contributions to value creation – allowing the specific mechanisms of value creation to vary, as they do, across contexts. Next, the authors review recent progress in star scholarship – highlighting advances in scholarship on both the favorable and unfavorable influences of stars in organizations, as well as recent research shedding light on the professional experiences of stars as employees. The authors then turn their attention to future scholarship, specifically noting opportunities for research in two veins: how stars’ motivations, contributions, and experiences may evolve over the course of their careers and how stars and their broader work environments are best managed. Finally, we share thoughts on ways in which scholars can think about increasing the practical value of research on stars, primarily by integrating insights from research on stars with ideas rooted more squarely in the talent management literature which focuses on the deliberate identification, support, and management of individuals deemed to be equipped to create exceptional value in organizations.

The star rating summarises the review content and conveys the message faster than other review components. Star ratings influence helpfulness of the reviews, and extreme reviews are considered as less helpful in the decision process. However, literature has rarely addressed variations in star ratings across product categories and variations between two online retailers. In this paper, the authors have compared the distribution of star ratings across 11 products and among the retailers.

Online reviews for 11 product categories have collected, and the authors compared the distribution of star ratings across 11 products and retailers. Correspondence analysis has been applied to show the association between star ratings and product categories for the e-retail firms.

The Amazon site contains proportionately more number of 1-star rated reviews than Flipkart. In Amazon reviews, few product categories are closely associated with 1-star and 2-star reviews, whereas no product categories are closely associated with 1-star and 2-star reviews in Flipkart reviews. The results indicate two distinct communication strategies followed by the firms in managing online consumer reviews.

The authors did not analyse data across demographic details because of access restriction policies of the websites.

Understanding the distribution of review characteristics will improve the consumer’s decision-making ability and using online review content judiciously.

This study’s results show significant insights on online retailing by providing cues in using shopping sites and online review characteristics of two prominent retailers.

This paper has brought out a distinct distribution pattern of online review between Amazon and Flipkart. Amazon allows a higher degree of negative contents, whereas Flipkart allows more number of positive reviews.

In this chapter, the authors review talent management in the research university sector, business schools in particular. The authors adopt an “exclusive” perspective on talent management, assuming that some scholars contribute disproportionately to organizational performance. The authors identify two particular groups of scholars likely to be the target of exclusive talent management practices in business schools: (i) faculty on a tenure track career path and (ii) “star” tenured faculty with exceptionally strong track records. Focusing on these current and potential future “stars,” the authors review and discuss talent management practices related to talent identification, recruitment and selection, performance management, talent development, benefits and rewards, and tenure, promotion, and retention. In the extant literature, these topics have been mostly examined in the general university environment and less so in the business school context. This is somewhat problematic given that business schools have their own special characteristics. Moreover, some of the reviewed topics – especially talent development – have received only marginal scholarly interest thus far. Based on this literature review, and by drawing on their own experience working in different roles in academia, the authors highlight some of the gaps in the current body of knowledge and propose an agenda for future research.

The purpose of this paper is to test the hypothesis that there are correlations between campus sustainability initiatives and environmental performance, as measured by resource consumption and waste generation performance metrics. Institutions of higher education would like to imply that their campus sustainability initiatives are good proxies for their environmental performance.

Using data reported through the Association for the Advancement in Higher Education’s Sustainability Tracking and Rating System (AASHE STARS) framework, a series of univariate multiple linear regression models were constructed to test for correlations between energy, greenhouse gas (GHG), water and waste performance metrics, and credit points awarded to institutions for various campus sustainability initiatives.

There are very limited correlations between institutional environmental performance and adoption of campus sustainability initiatives, be they targeted operational or coordination and planning best practices, or curricular, co-curricular or research activities. Conversely, there are strong correlations between environmental performance and campus characteristics, namely, institution type and climate zone.

Institutional decision makers should not assume that implementing best practices given credit by AASHE STARS will lead to improved environmental performance. Those assessing institutional sustainability should be wary of institutions who cite initiatives to imply a certain level of environmental performance or performance improvement.

This is the first paper to use data reported through the AASHE STARS framework to assess correlations between campus initiatives and environmental performance. It extends beyond previous research by considering energy, water and waste performance metrics in addition to GHG emissions, and it considers campus sustainability initiatives in addition to campus characteristics.

The purpose of this paper is to identify factors influencing extremely high or low research productivity for business faculty members.

Using data originating from a random sample of 236 faculty members across a wide range of accredited business schools and a web‐based survey, main effects are hypothesized and explored. The authors examine only extreme data points of high (and low) research productivity to focus on high‐performing research “stars.”

It is found that research “stars” hold higher academic rank, possess greater time management skills, individually place a high value on research, report higher time available to conduct research, enjoy higher institutional support in the form of graduate assistants and summer research support, have fewer course preparations, and work for departments with a similar priority placed on research.

The authors found that certain person‐ and situation‐level factors differentiate high and low performing faculty members’ research output.

The paper has implications for university administrators regarding recruiting, selecting, and managing faculty members’ research performance.

Research productivity and intellectual contributions continue to dominate much of higher education as a primary measure of faculty members’ success. One area that remains under‐explored in the business literature is what “makes a research star” and, to the contrary, what factors predict extremely low faculty research productivity? Shedding light on this research question provides practical benefits for universities by enabling administrators to better recruit, select, motivate, and develop productive faculty members.

Administrators in higher-education settings routinely create planning documents that help steer the organization in mission-centric ways. In the area of sustainability planning, strategic plans, sustainability plans and climate action plans are the most common methods used. The purpose of this study is to evaluate if specific forms of planning predict sustainability outcomes.

This question was evaluated via an empirical archival study of the AASHE STARS database in relation to planning, administration and governance credits and criteria to determine if specific forms of planning were predictive of sustainability implementation outcomes in the categories of Education and Research, Operations, Diversity and Affordability, Human Resources, Investment, Public Engagement and Innovation.

Findings support the notion that climate action plans were most predictive of achieving sustainability outcomes, and strategic plans were best able to predict educational outcomes.

These findings have important implications for the design and execution of sustainability planning processes in higher-education institutions.

The academic literature contains relatively few empirical studies that demonstrate the capacity of planning on the realization of sustainability outcomes.

The purpose of this study was to examine the extent to which chief executive officers (CEOs) deserve the pay they receive both in terms of over and underpayment.

Rather than using the traditional normal distribution view in which CEO performance clusters around the mean with relatively little variance, the authors adopt a novel power law approach. They studied 22 industries and N = 4,158 CEO-firm combinations for analyses based on Tobin’s Q and N = 5,091 for analyses based on return on assets. Regarding compensation, they measured the CEO distribution based on total compensation and three components of CEO total pay: salary, bonus, and value of options exercised.

In total, 86 percent of CEO performance and 91 percent of CEO pay distributions fit a power law better than a normal distribution, indicating that a minority of CEOs are producing top value for their firms (i.e. CEO performance) and a minority of CEOs are appropriating top value for themselves (i.e. CEO pay). But, the authors also found little overlap between CEOs who are the top performers and CEOs who are the top earners.

The findings shed new light on CEO pay deservingness by using a novel conceptual and methodological lens that highlights systematic over and underpayment. Results suggest a violation of distributive justice and offer little support for agency theory’s efficient contracting hypothesis, which have important implications for agency theory, equity theory, justice theory, and agent risk sharing and agent risk bearing theories.

Results highlight erroneous practices when trying to benchmark CEO pay based on average levels of performance in an industry because the typical approach to CEO compensation based on averages significantly underpays stars and overpays average performers.

Results offer new insights on the extent of over and underpayment. The findings uncover an extremely large non-overlap between the top earning and top performing CEOs and to an extent far greater in magnitude than previously suggested.

Objetivo – El objetivo de nuestro estudio fue examinar si los directores ejecutivos (CEOs) merecen la remuneración monetaria que reciben.

Metodología – En lugar de utilizar el enfoque tradicional que asume que la distribución del rendimiento de CEOs sigue la curva normal (con la mayoría de CEOs agrupados en torno a la media y relativamente poca variación), adoptamos un enfoque diferente basado en la ley de potencia. Incluimos 22 industrias y N = 4.158 combinaciones de CEO-firma para análisis basados en Tobin’s Q y N = 5.091 para análisis basado en la rentabilidad de los activos. En cuanto a la remuneracion, medimos distribuciones basadas en la remuneración total y tres componentes del pago completo a los CEOs: salario, bonos, y el valor de las opciones ejercitadas.

Resultados – 86% de las distribuciones de rendimiento de CEOs y el 91% de las distribuciones de pago de los CEO se aproximan mejor a una distribución de ley de potencia que a una distribución normal. Esto indica que una minoría de los CEOs produce un valor muy superior para sus empresas (es decir, el rendimiento CEO) y una minoría de los CEOs apropia valor superior para sí mismos (es decir, pago de los CEO). Sin embargo, encontramos muy poco solapamiento entre aquellos CEOs que se desempeñan mejor y los CEOs que ganan más.

Implicaciones – Nuestros hallazgos usando una conceptualización y metodología novedosas ponen en relieve que a muchos CEOs se les paga demasiado y que a muchos no se les paga suficiente (en comparación con su desempeño). Los resultados sugieren una violación de los principios de justicia distributiva y no apoyan la hipótesis de “contratación eficiente,” y tienen implicaciones para para la teoría de la agencia, de la equidad, de la justicia, y de la distribución de riesgos.

Implicaciones prácticas – Los resultados destacan las prácticas erróneas con respecto a la distribución de compensación a CEOs que se basan en los niveles medios de rendimiento en una industria. Estas prácticas llevan a no pagar suficiente a los directivos “estrella” y pagar demasiado a los directivos con desempeño medio.

Originalidad/valor – Los resultados ofrecen nuevas perspectivas sobre la relación entre desempeño y compensación de CEOs y que los que se desempeñan mejor no son los que reciben más pago, y viceversa. Estas diferencias son mucho más grandes de que lo que se creía anteriormente.

Objetivo – O objetivo do nosso estudo foi examinar se os CEOs merecem a compensação monetária que recebem.

Metodologia – Em vez de utilizar a abordagem tradicional que assume que a distribuição do desempenho do CEO segue a curva normal (com a maioria dos CEOs agrupados em torno da média e relativamente pouca variação), adotamos uma abordagem diferente com base num enfoque inovador da lei de potência. Incluímos 22 indústrias e N = 4.158 combinações de CEO-empresa para análise baseada no Q de Tobin e N = 5091 para análise baseado na rentabilidade dos ativos. Em relação à compensação, medimos as distribuições de CEO com base no total de compensação e três componentes do pagamento total dos CEOs: salário, bônus e o valor das opções exercidas.

Resultados – 86% do desempenho do CEO e 91% das distribuições de pagamento do CEO correspondem a uma lei de potência melhor do que uma distribuição normal, indicando que uma minoria de CEOs está produzindo valor superior para suas empresas (ou seja, desempenho do CEO) e uma minoria de CEOs se apropriando do valor superior para si próprios (isto é, o salário do CEO). Mas, também encontramos pouca sobreposição entre CEOs que tem os melhores desempenhos e os CEOs que tem as maiores ganancias.

Implicações – Nossas descobertas lançam nova luz sobre o merecimento do pagamento do CEO, usando uma nova lente conceitual e metodológica que destaca o excessivo e o baixo pagamento sistemático. Os resultados sugerem uma violação da justiça distributiva e não apoiam a hipótese da contratação eficiente, e tem implicações para a teoria da agência, teoria da igualdade, teoria da justiça e distribuição de riscos.

Implicações práticas – Os resultados destacam práticas errôneas quando se tenta benchmark de remuneração do CEO baseado em níveis médios de desempenho em uma indústria, porque essas práticas levam a não pagar o suficiente aos CEOs “estrela” e pagar em excesso CEOs com desempenho médio.

Originalidade/valor – Os resultados oferecem novas perspectivas sobre a relação entre desempenho e retribuição dos CEOs e que os que desempenham melhor não são os que recebem um pagamento maior, e vice-versa. Estas diferenças são muito maiores do que se pensava anteriormente.

Examines the seventeenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This study aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed.

The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated.

Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors.

Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications.

This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

This paper reviews the public reception of the Research Assessment Exercise 1996 (RAE) from its announcement in December 1996 to the decline of discussion at end May 1997. A model for diffusion of the RAE is established which distinguishes extra‐communal (or exoteric) from intra‐communal (or esoteric) media. The different characteristics of each medium and the changing nature of the discussion over time are considered. Different themes are distinguished in the public reception of the RAE: the spatial distribution of research; the organisation of universities; disciplinary differences in understanding; a perceived conflict between research and teaching; the development of a culture of accountability; and analogies with the organisation of professional football. In conclusion, it is suggested that the RAE and its effects can be more fully considered from the perspective of scholarly communication and understandings of the development of knowledge than it has been by previous contributions in information science, which have concentrated on the possibility of more efficient implementation of existing processes. A fundamental responsibility for funding councils is also identified: to promote the overall health of university education and research, while establishing meaningful differentiations between units.