Yes / Obesity research priority setting, if conducted to a high standard, can help promote policy-relevant and efficient research. Therefore, there is a need to identify existing research priority setting studies conducted in the topic area of obesity and to determine the extent to which they followed good practice principles for research priority setting. Studies examining research priority setting in obesity were identified through searching the MEDLINE, PBSC, CINAHL, PsycINFO databases and the grey literature. The nine common themes of good practice in research priority setting were used as a methodological framework to evaluate the processes of the included studies. These were context, use of a comprehensive approach, inclusiveness, information gathering, planning for implementation, criteria, methods for deciding on priorities, evaluation and transparency. Thirteen articles reporting research prioritisation exercises conducted in different areas of obesity research were included. All studies reported engaging with various stakeholders such as policy makers, researchers and healthcare professionals. Public involvement was included in six studies. Methods of research prioritisation commonly included both Delphi and nominal group techniques and surveys. None of the 13 studies fulfilled all nine of the good practice criteria for research priority setting, with the most common limitations including not using a comprehensive approach and lack of inclusivity and evaluating on their processes. There is a need for research priority setting studies in obesity to involve the public and to evaluate their exercises to ensure they are of high quality. / National Institute for Health Research (NIHR) under its Applied Research Collaboration (ARC) Yorkshire and Humber in the form of Ph.D. funding to HI [NIHR200166], the UK Prevention Research Partnership (UKPRP) in the form of funding to JW and RM [MR/S037527/1], the NIHR Clinical Research Network in the form of funding to JW, and the NIHR ARC Yorkshire and Humber in the form of funding to RM

Identifying a research agenda and critical research activities is crucial for continuous development of Career and Technical Education (CTE) programs that meet the needs of students, industry, and society. Previous studies have expressed a need for relevant and focused research for the CTE profession. The primary purpose of this study was to identify consensus among CTE experts using a Delphi technique regarding problems, objectives, and activities that serve as a research agenda for CTE. The study panel was composed of experts from 25 states in the United States and represented 57 affiliations and organizations with direct ties to CTE. The Delphi process for this study was conducted in three rounds. Data were collected using the online survey collector, Survey Monkey™. The qualitative data were analyzed using the Affinity Diagram method of data analysis. At the conclusion of the data analysis from the Delphi rounds, the basic structure for the National CTE Research Agenda was developed. Rounds Four and Five served as validation rounds for the findings from the Delphi process. Data collection methods included online instruments using an internet-based survey tool. Data analysis revealed five research problem areas, 15 research objectives and 53 research activities which were organized into the National CTE Research Agenda structure. Findings from this study also revealed a CTE Research Agenda Logic Model which illustrated a systematic form of the research structure developed from this study. The National CTE Research Agenda is further defined in a color model which included the five research problem areas and 15 CTE research objectives identified in this study. At the conclusion of the validation rounds, the National CTE Research Agenda Logic Model was developed and the National CTE Research Agenda structure was accepted by the expert panel with a 97% acceptance rate. Based on the findings of this study, a sustained effort for research in CTE should be made by scholars in collaboration with national and international associations and organizations. The results of this study suggest a structure in which researchers should engage in focused and meaningful research in CTE. Future research is recommended to examine the issues identified by this expert panel.

Yes / With the proliferation of mobile network, mobile devices, and Web of things, many industries, including government departments, private firms, and research communities, offer more transparency through releasing data. The resultant effort offers a new paradigm—open data—still at infancy stage. Despite the rising research initiatives explaining its benefits and challenges and demonstrating policy conception and project details, no systematic survey of extant literature on open data has been performed. Hence, there is need for studies that examine open data on a holistic canvas, assess the current status of research, and propose future directions. Here, we conduct a review of extant literature to ascertain the current state of research on open data, and present an extensive exploration for 11 types of analyses: contexts, perspectives, level of analysis, research methods, the drivers, benefits, barriers, theory/model development, the most productive journals, authors, and institutions. Additionally, we present several future research agendas. This study also explains the implications to assist researchers, policymakers, and journal editors.

Purpose: Although logistics management is a crucial part of local and global sports events, there is noresearch-driven characterization of "sports logistics management". The purpose of this paper is to conceptualize a framework that allows for a more structured recognition of logistics in sports, in general, and sport event management, in particular. In addition, we conduct a systematic literature review of sports logistics management and locate opportunities for future research both for sports management and logistics management scholars. Design/methodology/approach: Guided by Durach et al.'s (2017) systematic literature review approach, we identify key attributes and characteristics of sports logistics management. These are based on studies featuring at least partial aspects of logistics management in sports and sport events, and that were published between 2000 and mid-2019. Findings: The study reveals that sports logistics management, meaning logistics activities in sports andsport event management, is a heavily under-researched area that provides an abundance of scientific opportunities. Based on the three sport event types of local/regional sport events, major sport events and mega sport events, the authors propose four sports logistics management pillars that are central to the proposed Sport Logistics Framework: venue logistics management, sports equipment logistics management, athletes logistics management, and fan and spectators logistics management. Originality/value: This is the first study that builds on a systematic review of literature specifically focused on the logistics aspect in sports and sport event management. It provides a conceptual framework of sports logistics management and offers an agenda of future research opportunities.

Artificial intelligence (AI) is quickly transforming business operations and society, as AI capabilities are incorporated into applications ranging from mobile personal assistants to self-driving cars. The potentially disruptive nature of AI calls for an extensive investigation into all aspects of AI-human interactions at individual, group, organizational and market levels. However, there is paucity of academic information systems (IS) research in this area that goes beyond the development and testing of specific narrow AI capabilities. AI represents an important opportunity for organizational and behavioral IS researchers, but also presents challenges associated with the underlying complexity of AI technologies and the diversity of AI applications. Understanding how existing AI research and business practice relate to traditional areas of IS research is an important step towards creating a comprehensive behavioral and organizational AI research agenda. This dissertation seeks to achieve a dual purpose in a series of three essays. Essay 1 seeks to understand the current state of business AI research and practice in business through a quantitative literature review, relate the findings to traditional IS research areas, and identify potentially fruitful research areas for AI-focused IS research. Essays 2 and 3 seek to address specific research questions related to one of such research areas, namely, human interactions with AI enabled applications. Essay 2 focus on user experience with a chatbot, a popular AI application, and Essay 3 explores how user experiences with AI assistant apps differ from their interactions with more traditional IT artifacts.

Developing and implementing a research agenda can be challenging, but identifying the ultimate destination and defining the intermediate steps along the path are critical. The purpose of this session is to help early-career researchers (including graduate students, postdocs, junior faculty, and those considering transitioning into academics) identify key considerations and strategies for the development and implementation of their own research agenda. The speakers will discuss identifying research topics, designing a strong research program, and building evidence of effectiveness around the agenda. The speakers represent a range of settings and experiences, allowing attendees to appreciate the diversity of types of research agenda that exist within the profession. Attendees will leave the session with specific tools and resources to help them begin to develop a research agenda that will be appropriate for a range of settings.

Information Technology is an academic discipline that is well recognized by the academic community. There is an increasing number of schools offering degrees in Information Technology and has there is an official curriculum published with the ACM/IEEE computing Curriculum. A concern with Information Technology as an academic discipline is that it does not have a clearly defined set of research issues which are not studied by any other discipline. One way to propose this set of issues is to perform a “bottom-up” analysis and gather research in IT that has already been published. This research can then be analyzed for recurring themes. This research describes a repository of graduate level work in the form of master's degree theses and projects and doctoral dissertations. A keyword analyses was done on the publications gathered, and it was confirmed that a set of themes could be found. As a demonstration of the viability of this approach the methodology has identified five initial themes. A larger sample is required to define a definitive set of themes for the IT discipline.

Yes / As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

Background: Obesity disproportionately affects Pakistani women and rates of obesity related conditions are high in Bradford. Research priority setting can guide the development of policy and practice, resulting in more relevant research. There are no research prioritisation exercises targeted at obesity in Pakistani women. Aim: To develop an obesity research agenda with Pakistani women living in deprived inner-city areas of Bradford. Methods: Using a feminist participatory action research design, a five stage process was adopted involving the following: (i) A systematic review to identify the gaps in knowledge (ii) face-to-face interviews with 21 Pakistani women to generate their health concerns (iii) focus groups to explore the obesity concerns of 23 Pakistani women (iv) survey to identify unmet obesity needs of Pakistani women according to 160 local, multisectoral stakeholders (v) adapted consensus method involving 32 Pakistani women to rank their identified concerns and unmet needs in order of importance. Results: The study identified needs related to cultural and language constraints, including barriers in obtaining health promotion information and the social isolation of women. Education needs and misconceptions surrounding diet and physical activity were also identified. Highest rankings were given to concerns and needs surrounding the mental health of Pakistani women, education needs for a healthy diet, and the benefits of physical activity. Conclusion: Pakistani women’s unmet obesity needs highlight the existence of wider determinants of health that are structural in nature. Considering these barriers, a research agenda was developed from the findings and reflect the obesity health needs of this population. / Funding through Born in Bradford

Yes / Black, Asian and minority ethnic communities suffer from disproportionately poorer health than the general population. This issue has been recently exemplified by the large numbers of infection rates and deaths caused by covid-19 in BAME populations. Future research has the potential to improve health outcomes for these groups. High quality research priority setting is crucial to effectively consider the needs of the most vulnerable groups of the population. The purpose of this systematic review is to identify existing research priority studies conducted for BAME health and to determine the extent to which they followed good practice principles for research priority setting. Method: Included studies were identified by searching Medline, Cinnahl, PsychINFO, Psychology and Behavioral Sciences Collection, as well as searches in grey literature. Search terms included “research priority setting”, “research prioritisation”, “research agenda”, “Black and minority ethnic”, “ethnic group”. Studies were included if they identified or elicited research priorities for BAME health and if they outlined a process of conducting a research prioritisation exercise. A checklist of Nine Common Themes of Good Practice in research priority setting was used as a methodological framework to evaluate the research priority processes of each study. Results: Out of 1514 citations initially obtained, 17 studies were included in the final synthesis. Topic areas for their research prioritisation exercise included suicide prevention, knee surgery, mental health, preterm birth, and child obesity. Public and patient involvement was included in eleven studies. Methods of research prioritisation included workshops, Delphi techniques, surveys, focus groups and interviews. The quality of empirical evidence was diverse. None of the exercises followed all good practice principles as outlined in the checklist. Areas that were lacking in particular were: the lack of a comprehensive approach to guide the process; limited use of criteria to guide discussion around priorities; unequal or no representation from ethnic minorities, and poor evaluation of their own processes. Conclusions: Research priority setting practices were found to mostly not follow good practice guidelines which aim to ensure rigour in priority setting activities and support the inclusion of BAME communities in establishing the research agenda. Research is unlikely to deliver useful findings that can support relevant research and positive change for BAME communities unless they fulfil areas of good practice such as inclusivity of key stakeholders’ input, planning for implementation of identified priorities, criteria for deciding on priorities, and evaluation of their processes in research priority setting. / This work was supported by the National Institute for Health Research (NIHR) under its Applied Research Collaboration (ARC) Yorkshire and Humber in the form of Ph.D. funding to HI [NIHR200166], the UK Prevention Research Partnership (UKPRP) in the form of funding to JW and RM [MR/S037527/1], the NIHR Clinical Research Network in the form of funding to JW, and the NIHR ARC Yorkshire and Humber in the form of funding to RM.