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Generation Z comprises the newest cohort to enter the workforce, and they not content to be the Millennials’ younger sibling. Born between 1997 and 2012, Gen Z’s identity is shaped by being the first generation to come into a post-9/11 world, by the effects of the Great Recession on their parents’ and families’ economic well-being, by the proliferation of technology and social media, by the specter of school shootings and violence, and by the current period of reckoning with past and present racial injustice. The defining moment for this generation, however, is entering adulthood during or in the wake of a global pandemic that significantly changed both education and industry. The confluence of this new generation of career entrants, the dramatically shifting job forms and careers (e.g., contingent work and the gig economy), and the post-COVID landscape of work provides a rich and compelling research agenda for management and human resource management as Gen Z enters workplace and progresses through their careers. Little academic research has examined this generation and its complexity, but the business community is very interested in preparing for the influx of Gen Z into their organizations and as consumers. Gen Z is diverse, global, and mobile. They are defined by their almost symbiotic relationship with technology, but surprisingly desire in-person connection. This generation was hard hit by the COVID-19 pandemic, in their education, finances, relationships, and well-being. They are a generation in flux. Future research directions are explored and presented.

This study reports on the effect of demand variation on the optimal location of road-pricing cordons. The optimal road-pricing cordon, in this study, aims to maximise the social welfare function. This optimisation program is categorised as Bi-level optimisation programming which is a NP hard problem. The paper first describes the method developed to solve the optimal toll problem for a given set of chargeable links. The tests were carried out with a small toy network and a larger scale network. For the small network, four single user class demand characteristics were varied individually; these were the elasticity of trip generation with respect to increases in travel cost, value of travel time, volume of traffic, and traffic distribution pattern. For the larger scale network, only elasticity, value of time, and trip volume were tested. The results of the larger scale network are also analysed by including the cost per toll point. The tests with the larger scale network were modified so that the constraint of uniform charge is applied. The results showed that demand variation could influence the best location of toll points. This finding raises the question of whether the implementation of the same cordon all day in an urban traffic network is the optimal approach under the existence of demand variations by time of day, and also whether the evaluation process of the cordon location should consider the effect of different time periods together.

Entrepreneurship research has grown in both quality and quantity over the past decade, as many theoretical innovations and important empirical research findings have been introduced to the field. However, theoretical approaches to understanding entrepreneurship remain fragmented, and empirical findings are unstable across different contexts. This chapter describes features of a multi-level process view of new venture emergence that adds coherence to the entrepreneurship theory jungle and brings order to idiosyncratic empirical results, by explaining how ideas become organized into new ventures. The centerpiece of this effort is enactment theory, a general process approach specifically developed to explain organizing processes. Enactment theory – and Campbellian evolutionary theorizing more generally – has a long history of use within and across multiple levels of analysis. Consequently, the description here illustrates how organizing unfolds across multiple levels of analysis and multiple phases of development. After describing the theorizing assumptions and multi-level process view of new venture organizing, the chapter explores implications of applying this perspective by suggesting new research directions and interpretations of prior work. The aim is to advocate process theorizing as a more productive approach to understanding new venture emergence.

Purpose – This chapter outlines the need for policy packages in urban areas, demonstrates how effective policy packages can be designed by combining appropriate policy instruments and discusses the implications for Chinese cities.

Methodology – The results in the chapter are derived from a predictive model of two UK cities (Edinburgh and Leeds), an objective function to reflect a city's objectives and constraints, and an optimising routine which identifies the most effective level of intervention for each policy instrument.

Findings – Where available, fuel taxes, fare levels, road pricing charges, low-cost capacity improvements and public transport frequencies are the most effective policy instruments. Optimal combinations designed to cost no more than current strategies offer substantial benefits to society. Infrastructure projects typically offer much lower value for money. Strategies designed to meet challenging climate change targets can be designed, but may well substantially reduce other benefits.

Research limitations/implications – Other policy instruments such as awareness campaigns and walking and cycling measures could be tested in a similar way. Similar analyses could be conducted in high growth contexts typical of Chinese cities.

Practical and social implications – Policy packages will be important for Chinese cities. They are likely to differ from European specifications, and include greater use of infrastructure. The methodology presented here could be applied to their design.

Originality – The chapter brings together research reported elsewhere, presents some new results on synergy and discusses the implications for China.

The Kirton Adaption‐Innovation Inventory and the Learning Styles Questionnaire were used as part of a wider investigation, reported in an earlier paper, to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station (n = 67). Results from the psychometric tests were assessed in terms of the groups obtained from a cluster analysis. Groups identified by the KAI as Innovators and by the LSQ as Activists sought information more widely, more enthusiastically and from more diverse sources than other groups. Groups identified as Adaptors by the KAI and Reflectors by the LSQ, were more controlled, methodical and systematic in their information behaviour.

Semi‐structured, in‐depth interviews were used to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station (n = 67). Cluster analysis was used to reveal groupings in the data. Library and document‐based activities did not differentiate individuals. Computer use, both for scientific work and information handling, and the degree of enthusiasm displayed for actively seeking information divided the population. Discipline, work role and time spent in the subject field and organisation were the most important determinants of information behaviour. There were some indications of male/female differences in information behaviour. A comparison of the groups obtained from the cluster analysis with a subjective classification showed the former to be more robust in later analysis.