Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Assessment of the Omni-Channel Adoption for the Management of Emergence Technologies in Food Retailing During and After the Era of COVID-19

Using E-commerce has become crucial for retailers, specifically in the food business; the Food industry is one of the essential drivers of economies in the world. In and after the era of COVID-19, as technology advances, there is a need to apply an omnichannel strategy. In response, this research aims to develop a decision focus assessing Omni-channeled adoption for the management of emerging technologies in food retailing during and after the era of COVID-19 to evaluate the omnichannel capabilities of food organizations. This establishes a decision model to fill the research gap to succeed and stay competitive in the food business. Using a systematic exploratory literature review has supported identifying the gap in this research area and demonstrating the importance of assessing omnichannel adoption in food retailing. However, it introduces the scope of omnichannel in food retail. The method used is based on building a hierarchical decision model (HDM) to find the optimal solution to fill gaps and to be implemented in food retailing. The main attributes of the omnichannel in the food industry were identified based on a literature review and expert judgments. These factors were categorized into perspectives and criteria to be used in the Hierarchical Decision Model; these perspectives are social, organizational, technological, legal, and financial. They established the HDM scoring model using experts\u27 validation, quantification, and desirability values. The food applications of this study investigate food retailing to assess the contribution of individual perspectives and criteria on decision-making. The model analyzes the weaknesses and strengths of two food organizations in Saudi Arabia, providing recommendations for improvement. The audience of this research is retailers, developers, researchers, participators, policymakers, decision-makers, and anyone interested in business and technology management

Electric Scooter

In Summer 2018, The Portland Bureau of Transportation (PBOT) is conducting a four-month pilot for Shared Electric Scooters from July 23 - November 20, 2018. The current permitted companies are; Bird, Lime, and Skip. The key driver for the adoption of e-Scooters is solving the challenge regarding urban commute of an end user such as increasing traffic congestion woes and environmental concerns [1]. On the other hand, Portlanders are interested in buying e-scooter by themselves as well. Even for leasing from a firm or becoming ownership by people, an assessment becomes a need to identify best Electric Scooter brand in Portland for an effective, environmentally-friendly, and quick solution for the short distance transportation was conducted using the Hierarchical Decision Model (HDM). Hence, our study is a methodology to assess the most efficient, and affordable candidate technologies relevant to all the valid perspective and criteria. The technology candidates selected for the assessment process were Xiaomi M365 (Bird), Dockless (Skip), and Ninebot Segway (Lime). According to prospective and criteria the finding shows that Xiaomi M365 to buy (leasing by Bird) has the highest mean relative to other two E-scooter options

Entrepreneurial University: the Relationship Between Smart Specialization Innovation Strategies and University-Region Collaboration

Addressing the effect of regional innovation strategies for smart specialization is beneficial. This study investigates the correlation between smart specialization innovation strategies and university-region collaboration. The findings of this study will help researchers and decision makers understand and strategically plan for linking education with industry and thus help create entrepreneurial universities. This paper examines the regional innovation strategies for smart specialization. The data was collected at a Croatian university. The research aims to study the effect of the link of an educational institute with industry and how that makes universities become more entrepreneurial. In our model, smart specialization is measured as an assessment of the benefits of university-regional collaboration for universities to become entrepreneurial. The results highlight that smart specialization innovation strategies are enhancing university collaboration regionally. We learn that involvement of universities is an essential ingredient

Forecasting Technology Trends through the Gap Between Science and Technology: The ase of Software as an E-Commerce Service

Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to define potential markets for innovative new products and services. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to the technology forecasting methodology and will be of interest to those working with SaaS technology. Our findings reveal five trends in the technology: 1) virtual networking, 2) the hybrid cloud, 3) modeling methodologies, 4) mobile applications, and 5) web applications. Among the results achieved, we can summarize the interesting ones as follows: it is possible to say that traditional information systems are now evolving into online information systems. On the other hand, the use of a licensing model based on subscriptions triggers the change in perpetual licensing models. The product range that has evolved toward mobile technologies has put pressure on information storage technologies and has led to the search for new methods especially in the development of database systems