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The purpose of this study is to understand the complex interplay between illicit opioids trade and consumption practices and state policies that aim to reduce their misuse.

The study adopted an exploratory design. Data were gathered through in-depth interviews with 31 commercially oriented drug dealers in Uyo, Nigeria. The framework approach was used in data analyses, while “friction” provided the interpretive lens.

Accounts revealed public concerns over the misuse of tramadol and other opioids among young people and the associated health and social harms. These concerns provided support for enforcement-based approaches to prescription opioids control, including police raids on pharmacy stores. These measures did not curtail opioids supply and consumption. Instead, they constrained access to essential medicines for pain management, encouraged illegal markets and fuelled law enforcement corruption in the form of police complicity in illegal tramadol trade.

The findings reveal the frictions of drug control in Nigeria, wherein enforcement-based approaches gained traction through public concerns about opioids misuse but also faced resistance due to the persistence of non-medical use and illegal supply channels made possible by law enforcement complicity. These indicate a need to prioritize approaches that seek to reduce illegal supply and misuse of opioids while ensuring availability of these medications for health-care needs.

The study is unique in its focus on the creative tension that exists between state control measures and local opioids supply and consumption practices.

The UK government has elaborated the effect of late payment on the economy, with its impact on the construction sector being particularly pronounced. This paper aims to evaluate the late payment epidemic that persists within the construction industry, specifically analysing the effectiveness of government-led voluntary payment initiatives.

A mixed philosophical lens is adopted that incorporates both pragmatism and post-positivism to examine the late payment phenomena. Couched within deductive reasoning and a case study strategy, a questionnaire survey was conducted to elicit responses from one-hundred construction professionals. Elucidating upon respondents’ perceptions of the UK’s late payment epidemic, a comparative analysis was undertaken of upstream (main contractor) and downstream (subcontractors/suppliers) contractors through Cronbach’s alpha, descriptive statistics, independence chi-square test, Kruskal–Wallis test and Mann–Whitney U test.

Emergent findings reveal that in practice, the monitoring and enforcement of government-led voluntary payment initiatives has been unprosperous with numerous contractors being forced to adopt indefensibly poor and punitive payment practices. Survey responses and extant literature substantiate and underscore the industry’s need to strengthen voluntary government-led payment initiatives. To create a responsible payment culture, any future code created should be mandatory and enforceable as a self-regulating approach has failed dismally. The work concludes with practical additional measures that could be introduced to create a responsible payment culture and promote ethical trading within the UK construction industry.

This paper constitutes a novel vignette of, and reflection upon, contemporary practice in this area of construction finance and serves to emphasise that very little has changes in the sector despite numerous UK government led reports and interventions.

The purpose of this paper is to ascertain the factors determining the choice of sources of finance for a tech startup over its lifecycle.

This study adopts simple random sampling technique to choose 93 sample tech startups in Bangalore. Further, this study employs the primary data collection from the sampled startups under study through a semi-structured questionnaire and in-depth interviews with the founders/CEOs of these startups. Furthermore, it carries out binary logistic regression analysis to primarily examine the likelihood of a tech startup to approach and access a particular source of finance over its lifecycle.

Our results indicate that a tech startup's choice for a financial source varies with its lifecycle stage and financial requirements. We find that while in its early stage, a tech startup's choice of a financial source is limited to business angels (BA), in the growth stage, it approaches the institutional sources, viz. Venture Capital (VC), Corporate Venture Capital (CVC), Banks and Private Equity (PE) firms alternatively. Out of the three major categories of financial requirements: Human Capital (HC), Research Capital (RC) and Social Capital (SC), the requirement for HC and SC is predominantly funded by VCs, while the acquisition of RC is facilitated by early stage investors (BAs) as well as growth stage investors (CVC and PEs).

The research implication of the study lies in bringing out the need to understand both the nature and the quantum of financial requirements of tech startups would influence the sources of finance it would approach and obtain finance for its operations and growth.

The major policy implication of the study refers to the need to promote the diverse sources of finance to meet the diverse needs of finance in different stages of a tech startup's lifecycle. Particularly in an emerging economy, where we do not see the emergence and growth of highly innovative tech startups, the need to promote adequate availability of RC is especially important.

This study makes a key contribution to the entrepreneurial finance literature by empirically investigating the factors determining a tech startup's propensity to approach and access a particular source of finance over its lifecycle.

This viewpoint engages with Jem Bendell’s deep adaptation framework which was developed as a response to the threat of collapse. Proponents of deep adaptation argue that societal collapse is either likely, inevitable or already underway. The deep adaptation framework is employed as a tool to contemplate the necessary adaptation of tourism development and planning in a context of polycrisis leading to collapse.

This is a conceptual viewpoint article that is built on deductive analysis of recent events, reports and scientific findings. It employs the deep adaptation framework to analyse possible alternative tourism futures in the face of the threat of collapse.

Bendell’s framework included four aspects of response to the recognition of the threat of collapse: resilience, relinquishment, restoration and reconciliation. In this work, the deep adaptation framework is employed to analyse what a deep adaptation approach to tourism might offer for efforts in securing optimal social and ecological outcomes. Findings highlight damaging activities that we should relinquish, more resilient approaches that communities could encourage and restorative practices such as rewilding and pluriversal economies as protective measures. This work recommends a precautionary approach to transform tourism education, research and practice in order to secure better tourism futures.

This work is novel in engaging with the threat of future collapse and in using the deep adaptation framework to consider alternative tourism futures.

To assess whether interdisciplinary research evaluation scores vary between fields.

The authors investigate whether published refereed journal articles were scored differently by expert assessors (two per output, agreeing a score and norm referencing) from multiple subject-based Units of Assessment (UoAs) in the REF2021 UK national research assessment exercise. The primary raw data was 8,015 journal articles published 2014–2020 and evaluated by multiple UoAs, and the agreement rates were compared to the estimated agreement rates for articles multiply-evaluated within a single UoA.

The authors estimated a 53% agreement rate on a four-point quality scale between UoAs for the same article and a within-UoA agreement rate of 70%. This suggests that quality scores vary more between fields than within fields for interdisciplinary research. There were also some hierarchies between fields, in the sense of UoAs that tended to give higher scores for the same article than others.

The results apply to one country and type of research evaluation. The agreement rate percentage estimates are both based on untested assumptions about the extent of cross-checking scores for the same articles in the REF, so the inferences about the agreement rates are tenuous.

The results underline the importance of choosing relevant fields for any type of research evaluation.

This is the first evaluation of the extent to which a careful peer-review exercise generates different scores for the same articles between disciplines.