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This paper aims to measure the prevalence of deviant behaviour among children who have dropped out of school and their subsequent arrests by the criminal justice system. The paper further analyses the relationship between the factors attributed to deviant behaviour and the subsequent arrests by the criminal justice system.

Using a semi-structured interview schedule, data was collected from 330 children who had already dropped out of school, remained on the streets or worked. The interviews took place in the presence of either of the children’s parents, with their consent.

The research identified 12 significant factors contributing to children dropping out of school. It also found six factors responsible for deviant behaviour. Furthermore, the study revealed that about 70% of the respondents were involved in one or more deviant behaviours. Among them, 51% had been detained by the Police in the past two years. Additionally, the linear regression model results positively predict the nexus among the six factors responsible for deviant behaviour.

The study is limited to male children who had dropped out of school, as female children were excluded. In connection with measuring deviant behaviour, it was challenging to discern whether it occurred before students left school, after or both.

The study suggests several measures, including policies such as early intervention programmes, providing quality education, mentoring and counselling for students and parents, vocational education opportunities, creating drug-free environments, career guidance, peer mentoring, community engagement, substance abuse prevention and rehabilitation programmes, to prevent school dropout and subsequent deviant behaviour.

To the best of the authors’ knowledge, this study is unique to India. The moderation regression model represents an exceptional finding. This study constitutes another addition to the field of child welfare while also indicating scope for future research.

The purpose of this paper is to examine the association between company reputation and dividend policy.

In this study, sample of 98,809 firm-year observations from 22 countries covering 2005–2016 were used.

Firm reputation concerns are associated with higher propensities to pay dividends and payout ratios. Further, this positive effect is more pronounced for firms with high free cash flows, high information asymmetry and low institutional monitoring. The results are robust to an instrumental variable approach, propensity score matching and the Heckman two-stage correction approach while addressing endogeneity concerns.

These findings have significant implications for various stakeholders, such as existing and potential investors, managers, policymakers and regulators, by providing insights into the relationship between corporate reputation and firm dividend payout decisions. Corporate reputation is highlighted as crucial for accessing finance, emphasizing the role of national regulators and policymakers in facilitating firms' efforts to improve their reputation. The study highlights the dynamics of corporate reputation and dividend payout, calling for proactive engagement from regulators and policymakers. Crafting policies conducive to reputation-building can enhance firms' financial prospects, indicating the need for strategic interventions at managerial, regulatory and policy levels. Understanding the influence of economic context is crucial for firms to tailor reputation management strategies and optimize funding opportunities in different economic environments.

Overall, results suggest that reputation serves as a disciplining mechanism, where firms will pay dividends to maintain their reputations.

This research explores the concept of omnichannel fulfillment steering (OFS) and demonstrates how retailers can influence a consumer’s fulfillment decisions through commonly used financial incentives such as discounts, credits and the opportunity to avoid home delivery fees.

We present insights from two theoretically grounded experiments to examine how different types of financial incentives can be used by omnichannel retailers to steer consumers from home delivery toward three alternative order fulfillment methods (AOFM) – buy-online-pickup-in-store, curbside-pickup and ship-to-locker.

Our analysis suggests that an opportunity to avoid shipping fees (penalty-avoidance) is a more effective OFS nudge than offering discounts or store credits (rewards). No difference was observed between offering discounts or credits as steering mechanisms; further, no omnichannel steering benefits were observed among the tested AOFMs. Collectively, these findings provide possible justification for retailers’ prioritization of credits to foster customer in-store visits, thus encouraging greater customer engagement and facilitating cross-selling opportunities. Finally, we uncover a penalty-avoidance endowment effect for “free shipping” of purchases over the current industry-standard free shipping threshold.

Retailers might prioritize store credits over discounts as nudges to steer customers toward an AOFM, with buy-online-pickup-in-store offering the greatest benefits for most retailers. Furthermore, using penalty-avoidance OFS incentives over a typical free shipping threshold may increase AOFM selection rates but engender adverse customer reactions.

Advancing the concept of OFS, this study directly informs retailers’ omnichannel incentive programs to nudge customers back into the store. Countering intertemporal choice theory, we could not demonstrate that delayed incentives are less effective than immediate ones. Based on prospect theory, we identify a free shipping endowment effect at a specific reference point along a purchase amount continuum.

In additive manufacturing (AM), “complexity for free” is often cited as a major technological benefit. This generalized view has been found inaccurate by several authors dealing with the evaluation of part complexity. However, the term “complexity” is not defined uniformly. The reasons for this are the various AM processes and different evaluation factors used by the respective authors. This is critical because build time heavily depends on the impact of complexity on the additive process through the processing tool (point-to-point-, line- and mask-based) defining competitiveness. This study aims to define appropriate complexity indicators and evaluate the impact on productivity of PBF-LB/P (laser sintering).

An assessment methodology for geometric complexity is developed for point-to-point-based processes using the PBF-LB/P process. First, an overview of part characteristics and their interrelationships with the generation process is provided. In this way, relevant factors, e.g. part volume and perimeter length, are identified. Subsequently, these are used to create a metric to select and manufacture test samples to quantify the impact on build time.

The results indicate a strong impact of geometrical complexity on build time and build-up rate. Consequently, optimizing the geometry in the early design stage and adjusting process parameters during production planning allow to influence the build-up rate.

This paper demonstrates the effects of geometric complexity using manufacturing jobs. As a result, the suitability of existing methods and KPIs is shown to be insufficient. Hence, meaningful indicators for laser sintering, such as contour length vs hatch length, contour length vs part volume and number of hatches vs part volume, are defined and verified.

This chapter examines sexually violent hazing as a form of group sexual assault, which involves multiple perpetrators in a single sexually violent act, in the context of junior men's hockey in Canada. Research outside of the context of sport suggests that group sexual assaults are relatively rare. However, available evidence suggests that the prevalence of group sexual assaults perpetrated by male junior hockey players is significantly disproportionate to perpetration rates by men who do not participate in competitive sports. Drawing on examples from junior men's hockey in Canada, three main forms of group sexual assault are identified and explored in which multiple male junior hockey players have been reported for sexually assaulting: (1) new male team members through sexually violent hazing rituals, (2) female victims during team rookie nights or initiation parties and (3) a single female victim away from team activities. The data analysed include media files and written legal decisions involving group sexual assault allegations against 65 Canadian junior men's hockey players. This chapter reveals that each form is interconnected within the misogynistic culture of junior men's hockey in Canada, where group sexual assaults have long been tolerated, silenced and ignored by teams, leagues and legal officials.

Celebrate Michael Buckland's impressive legacy to LIS by showing his humanity, generosity and versatility.

This article is walk through a scientific career in LIS. Through personal anecdotes and life history and building upon Michael Buckland's legacy, it summarises the author’s own work seen through the prism of her interactions with Buckland, leading to scholarly contributions articulating significant statements about the field of LIS as well as pointers to past relevant publications.

Michael Buckland has a unique way of putting an end to thorny LIS issues as well as being a documentator extraordinaire.

It is a personal account, as such cannot be evaluated through the classical norms of empirical research as there is no ground truth. This account shows how chance encounters with fellow scholars can have a lasting influence on one's academic career as well as wider impact in a field.

This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and upcoming innovations associated with integrating drones into MM logistics? and (2) What challenges need to be overcome for successful implementation of drones in MM logistics?

The study combines expertise from an industry professional with over ten years of experience in drone operations and logistics applications, along with insights gained from discussions with 33 industry executives.

The research identifies several unique advantages of integrating drones into MM logistics, including their potential to improve operational efficiency in challenging environments. However, significant challenges related to scalability, evolving airframe designs and operational constraints remain. Early-stage use cases demonstrate the viability of MMD technologies in lower-risk logistics environments, but broader implementation requires overcoming the identified challenges.

As MMD logistics is a nascent field, the study is exploratory and based on early-stage use cases and expert discussions. The limited scope of practical implementations may restrict the generalizability of the findings. Future research should focus on larger-scale operations and empirical studies of MMD integration in diverse logistics contexts.

The findings offer valuable insights for practitioners related to the costs, benefits and challenges of integrating drones into logistics operations and for policymakers related to societal implications, workforce development, privacy and safety concerns, and environmental impact.

This paper contributes to the evolving understanding of drone applications in MM logistics by presenting early use cases and identifying both challenges and opportunities for MMD technology and offers a foundation for future research and practice in this emerging domain.

Michael Gove is a controversial figure, not least due to his time as secretary of state for education under the Cameron coalition government from 2009 to 2013. Gove’s internationalising policy claimed to be addressing the attainment gap between rich and poor, supporting a workforce for the global markets. Gove appealed to all educational leaders by sending them a Gove-signed King James Bible, and he set up a Victorian school desk as the primary display artefact in the Ministry of Education. These two artefacts provide the analytical lens from which the claims and consequences of Gove’s education policy reforms were experienced by educational leaders and schools. This chapter aligns with the editorial line of this book in three ways. First, it acknowledges context as the most important aspect of understanding reform, in this case the neoliberal market economy of Britain in the 21st century. Second, it affords insight into how the selective use of data and political rhetoric acted as a vehicle for power in and through social relations. Finally, it reveals where disadvantage lies and provides impetus for further research and scholarship to mitigate it.

Every business company deals with the dilemma of how much to invest in long-term (LT) versus short-term (ST) problem (LTvST problem). LT operations increase the reputation of the company, and revenue is rewarded in the future. In contrast, ST operations result in immediate rewards. Thus, every organization faces the dilemma of how much to invest in LT versus ST activities. The former deals with the “what” or effectiveness, and the latter deals with the “how” or efficiency. The role of managers is to solve this dilemma; however, they often fail to do so, mainly because of a lack of knowledge. This study aims to propose a dynamic optimal control model that formulates and solves the LTvST problem.

This study proposes a dynamic optimal control model that formulates and solves the dilemma whether to invest in short- or LT operations.

This model is illustrated as an example of an academic institute that wants to maximize its reputation. Investing in effectiveness in the academy translates into investing in research, whereas investing in efficiency translates into investing in teaching. Universities and colleges with a good reputation attract stronger candidates and benefit from higher tuition fees. Steady-state conditions and insightful observations were obtained by studying the optimal solution and performing a sensitivity analysis.

To the best of the authors’ knowledge, this paper is the first one to explore the optimal strategy when trying to maximize the short and LT activities of a company and solve the LTvST problem. Furthermore, it is applied on universities where teaching is the ST activity and research the LT activity. The insights gleaned from the application are relevant to many different fields. The authors believe that the paper makes a significant contribution to academic literature and to business managers.