Search results

Describes a research project carried out within the Manchester Royal Infirmary (MRI) to evaluate and improve the recycling and disposal of pharmaceutical products. Discusses supply chain management practices in the National Health Service and, in particular, focuses on the concept of reverse logistics (the recycling of pharmaceutical stock for later re‐use). The research involved the analysis of returned stock from 28 hospital units and, from this data, the development and implementation of a revised recycling process within MRI Pharmacy. Concludes by arguing that there are significant financial and operational advantages to the NHS, and other organisations, in developing effective reverse logistics processes.

A balanced scorecard (BSC) is an applied tool for implementing strategic management in various organizations. Implementing strategic management using the BSC approach has not received much attention in pharmacy departments. This study aims to provide a model for the strategic management of pharmacy departments using the BSC framework.

This experimental study was conducted from 2015 to 2018 in a 300-bed hospital and regional healthcare centers affiliated with the Petroleum Industry Health Organization in Tehran province, Iran. After carefully reviewing the organization's mission and vision, the strategic objectives were determined via the internal matrix and the external matrix (IE matrix), and the strengths–weaknesses–opportunities–threats matrix (SWOT matrix) were examined. Then, six BSC measures and interventions were identified, and each was examined from the perspectives of finance, patient satisfaction, internal processes and learning/growth. Finally, the proposed strategy was evaluated.

Results showed significant increases in patient satisfaction and gross profit. The observed increase range, from 0.09 to 0.29, indicates more effective operational management for optimal resource utilization. In addition, the pharmacy department was able to save US $539,137 by implementing prepared protocols for expensive medications. Similarly, the pharmacy department saved $442,899 during the two years of our strategic management plan by implementing the standard mechanism for returning unused medications to the pharmacy department after patients were discharged from various treatment units.

This study is among the first studies to demonstrate the simultaneous development, implementation and evaluation of the proposed strategy using the BSC in a pharmacy department in a public healthcare center. The BSC application improved the optimal use of resources and reduced costs while increasing patient satisfaction. It appears that the application of such an intervention may be as valuable to public pharmacies as it is to other private centers.

There has been an increasing realisation within government circles that gaining insight into how and why an intervention works or does not is as important as measuring any change that it brings about. Without understanding the mechanisms for change, ensuring that the intervention is effective when transposed to different contexts can be highly challenging. However, while the need for high-quality, robust qualitative research is recognised, the theoretical and methodological tools available to researchers within the field have not kept up. Government-commissioned evaluation requires a methodology that provides genuine insight into how policy and interventions work on the ground and findings that can be generalised beyond the specific samples upon which they are based. In order to fill this conceptual gap, NatCen Social Research has developed an approach to qualitative research that draws on a wide range of existing traditions but that is robust and coherent enough to meet the needs of CJS evaluations. Recent work has led to a new articulation of this approach and a new moniker, ‘critical qualitative theory’ or CQT. This chapter describes the key tenets of CQT and draws on three of published studies of interventions that are focused on or relate to the criminal justice system to illustrate the methodological advantages the approach brings. In particular, the chapter explores the different approaches taken by the authors to the issues of generalisability, the balance between inductive and deductive procedures and how they have approached analysing the data at a case and a theme level. The implication of the different theoretical and methodological choices made by the authors is then discussed in terms of the nature and quality of the authors’ analysis.

The Industry 4.0 revolution (I4.0) brings significant transformations in the travel and tourism industry. Advanced technologies like virtual reality, automation and robotics have paved the way for ‘seamless travel’. The educators are also under pressure to upgrade the curriculum to impart such skills among students, but suitable teaching methods shall also be required. Such practices include event-based education, interdisciplinary collaboration, teamwork, presentation skills and many other adaptative techniques. Hackathons, an essential part of ‘event-based education’, can support the I4.0 paradigm for Industry and academia. This study analyses six hackathons organised by Industry and academic institutions to explore how they contributed to solving the Industry's problems and imparting I4.0 skills among students.

Participation in community programmes by the Roma community is low, whilst this community presents with high risk of poor health and low levels of wellbeing. To improve rates of participation in programmes, compatibility must be achieved between implementation efforts and levels of readiness in the community. The Community Readiness Model (CRM) is a widely used toolkit which provides an indication of how prepared and willing a community is to take action on specific issues. The purpose of this paper is to present findings from a CRM assessment for the Eastern European Roma community in Bradford, UK, on issues related to nutrition and obesity.

The authors interviewed key respondents identified as knowledgeable about the Roma community using the CRM. This approach applies a mixed methodology incorporating readiness scores and qualitative data. A mean community readiness score was calculated enabling researchers to place the community in one of nine possible stages of readiness. Interview transcripts were analysed using a qualitative framework analysis to generate the contextual information.

An overall score consistent with vague awareness was achieved, which indicates a low level of community readiness. This score suggests that there will be a low likelihood of participation in currently available nutrition and obesity programmes.

To our knowledge, this is the first study to apply the CRM in the Roma community for any issue. The authors present the findings for each of the six dimensions that make up the CRM together with salient qualitative findings.

This study aims to apply the relatively new concept of customer experience management (CXM) to the pre-consumptive stage within a cruise tourist’s journey.

The work will apply CXM to the tourism sector and, in particular to the cruise market. Academics have noted how CXM needs to takes a holistic integrated approach and focus on the complete customer experience. The cruise sector has been selected for this research because, it is the fastest growing tourism sector globally and the pre-consumption stage for cruise passengers is longer than for other vacation types.

This study has shown how CXM has emerged from the more traditional marketing concept of relationship marketing and has highlighted its relevance within the tourism industry, in particular, the cruise sector. In addition, the work has shown how adapting CXM to the pre-consumptive phase more fully will enhance consumer relationships and improve business performance.

This work is conceptual. It is proposed that the research propositions should be verified within the pre-consumptive stage of cruise passenger journeys. Another limitation is that the focus has been solely on the cruise sector and future research could be extended to other tourism service industries.

This work will provide tourism and other service industry managers with a new strategy to enhance consumer experience and improve business performance in the pre-consumptive stage and extend academic understanding within this stage of a cruise tourist’s vacation.

This research is significant because CXM is a model, which has been used within service businesses, but had a limited application to the cruise sector and to the pre-consumption timeframe. It is important to understand cruise passengers in this time-frame to encourage positive relationships, to potentially increase revenue opportunities and provide an overall improved consumer experience.

The aim of this study is to investigate and compare the engagement of Generation Y consumers with champagne and sparkling wine across five Anglophone countries.

A qualitative approach was adopted using focus groups with young consumers, including images and wine tasting as projective stimuli.

There were significant trans‐cultural similarities between consumption behaviour (sparkling wine is a women's drink, and a separate category from still wine, and that they will “grow into” drinking it) but also noticeable differences (responses to images and colours varied substantially, as did attitudes to price and the particular status of champagne).

Research into the behaviour of Generation Y as a cohort needs to take account of cultural as much as generational context. However, as a qualitative study the findings need further quantitative validation.

Marketers cannot view Generation Y as a single group; even within countries marketing strategies may need to be refined depending on where a product is being sold.

No trans‐cultural study on Generation Y has been carried out to date, nor has their engagement with sparkling wine been specifically explored.

The purpose of this paper is to report on empirical work conducted to open up algorithmic interpretability and transparency. In recent years, significant concerns have arisen regarding the increasing pervasiveness of algorithms and the impact of automated decision-making in our lives. Particularly problematic is the lack of transparency surrounding the development of these algorithmic systems and their use. It is often suggested that to make algorithms more fair, they should be made more transparent, but exactly how this can be achieved remains unclear.

An empirical study was conducted to begin unpacking issues around algorithmic interpretability and transparency. The study involved discussion-based experiments centred around a limited resource allocation scenario which required participants to select their most and least preferred algorithms in a particular context. In addition to collecting quantitative data about preferences, qualitative data captured participants’ expressed reasoning behind their selections.

Even when provided with the same information about the scenario, participants made different algorithm preference selections and rationalised their selections differently. The study results revealed diversity in participant responses but consistency in the emphasis they placed on normative concerns and the importance of context when accounting for their selections. The issues raised by participants as important to their selections resonate closely with values that have come to the fore in current debates over algorithm prevalence.

This work developed a novel empirical approach that demonstrates the value in pursuing algorithmic interpretability and transparency while also highlighting the complexities surrounding their accomplishment.