Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4296
{"title":"Engineering Materials and Personal Spaces in Public Repositories: The Case of the MERLOT Digital Library","authors":"","doi":"10.33423/jsis.v16i2.4296","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4296","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129037320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4305
David S. Greenburg, Dimitra Michalaka, James Righter
At The Citadel, data collection, analysis, and problem solving is taught as part of the technical project management course for junior and senior engineering students. Students are taught how to frame a problem, collect and analyze data, and report analysis results to aid in decision making. Many real world problems have such a broad scope or are so complicated that they resist a purely analytical solution. One technique for analyzing these complex problems is simulation. This paper describes the efforts to introduce students to spreadsheet-based Monte Carlo simulation modeling to support problem solving. Spreadsheet-based simulation has come into relatively widespread use as a methodology supporting studies for a broad range of problem types encountered in technical project management. Students can master spread-sheet-based simulation especially easily, and can expand their skill set by being taught to use real world data sets such as the traffic flow data obtained from the South Carolina Department of Transportation Traffic Polling and Analysis System (TPAS). The instruction introduces students to spreadsheet modeling with excel software and the fundamental aspects of data collection, analysis, and simulation modeling. The instruction aims to provide students with modeling skills to support problem solving. Students benefit from learning to use simulation modeling using Excel, which is familiar and widely available. Students can master spread-sheet-based Monte Carlo simulation, and can expand their skill set by doing so. This paper describes the use of spreadsheet-based Monte Carlo simulation and briefly explores the underlying methodology using Excel to support the instruction.
{"title":"Introduction to Problem Solving Using a Monte Carlo Spreadsheet Simulation","authors":"David S. Greenburg, Dimitra Michalaka, James Righter","doi":"10.33423/jsis.v16i2.4305","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4305","url":null,"abstract":"At The Citadel, data collection, analysis, and problem solving is taught as part of the technical project management course for junior and senior engineering students. Students are taught how to frame a problem, collect and analyze data, and report analysis results to aid in decision making. Many real world problems have such a broad scope or are so complicated that they resist a purely analytical solution. One technique for analyzing these complex problems is simulation. This paper describes the efforts to introduce students to spreadsheet-based Monte Carlo simulation modeling to support problem solving. Spreadsheet-based simulation has come into relatively widespread use as a methodology supporting studies for a broad range of problem types encountered in technical project management. Students can master spread-sheet-based simulation especially easily, and can expand their skill set by being taught to use real world data sets such as the traffic flow data obtained from the South Carolina Department of Transportation Traffic Polling and Analysis System (TPAS). The instruction introduces students to spreadsheet modeling with excel software and the fundamental aspects of data collection, analysis, and simulation modeling. The instruction aims to provide students with modeling skills to support problem solving. Students benefit from learning to use simulation modeling using Excel, which is familiar and widely available. Students can master spread-sheet-based Monte Carlo simulation, and can expand their skill set by doing so. This paper describes the use of spreadsheet-based Monte Carlo simulation and briefly explores the underlying methodology using Excel to support the instruction.","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131486897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4303
{"title":"Is it Still Worth Challenging the Status Quo? A Design Process Paper About the Involvement of Co-Dependent Users to Develop Safety Equipment for Horse Riders","authors":"","doi":"10.33423/jsis.v16i2.4303","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4303","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4304
Katherine Johnson, Scott Reeves
Program evaluations offer essential information regarding all aspects of program operations. But too often, recommendations for program refinement and enhancement are quickly forgotten. This paper will illustrate an effective strategy to ensure that these recommendations are taken “off the shelf” and incorporated into future program design and evaluation activities. This paper describes the process evaluation “best practice” that has been used effectively in several jurisdictions to ensure theat program recommendations are well-formulated, strategic, and monitored throughout the evaluation cycle. It begins by describing the types of recommendations that truly make a differencestrategic recommendation that focus on measurable improvements in program deliveryrather than tactical recommendations that target minor adjustments to program implementation. Several examples from real word evaluations are highlighted in this paper, to demonstrate the different ways in which this technique can be modified to meet differing program goals. Specific tactics discussed include: creating a recommendation tracking database that organizes each recommendation by topic, sector, and category; classifying the current status of each recommendation; and the reporting interval for updating program recommendations. This approach has been well-received by program administrators and public service commissions. An example recommendation tracker template is also included in this paper so attendees have a take-away that provides immediate and lasting value. Tracking recommendations is an important way to demonstrate the value of conducting program evaluations, document the the progress each program is making over time, and ensure that the investments in EM&V activities are incorporated into future program designs. Introduction Program evaluations offer essential information regarding all aspects of program operations. This is especially true for process evaluations, which focus on providing essential and timely feedback regarding current program operations. A critical outcome of process evaluations, therefore, is to provide recommendations that will improve and enhance program operations. However, formulating recommendations that will provide both guidance to benefit an entire program portfolio or lead to improvements in overall program operations require 2020 Energy Evaluation Europe Conference — London, UK 2 thoughtful analysis. Unfortunately, many process evaluations include recommendations as an after-thought. They are hastily written, sometimes repeated verbatim for each evaluated program, and are not carefully tracked over time. The result is that these recommendations are read and maybe overlooked or forgotten, thus diluting the value of the overall process evaluation. This paper describes the ways in which the status of major recommendations from program or portfoliowide evaluations are monitored throughout the program cycle. This approach, currently used for statewide
{"title":"Mind the Gap: Tracking Recommendations to Improve Program Effectiveness","authors":"Katherine Johnson, Scott Reeves","doi":"10.33423/jsis.v16i2.4304","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4304","url":null,"abstract":"Program evaluations offer essential information regarding all aspects of program operations. But too often, recommendations for program refinement and enhancement are quickly forgotten. This paper will illustrate an effective strategy to ensure that these recommendations are taken “off the shelf” and incorporated into future program design and evaluation activities. This paper describes the process evaluation “best practice” that has been used effectively in several jurisdictions to ensure theat program recommendations are well-formulated, strategic, and monitored throughout the evaluation cycle. It begins by describing the types of recommendations that truly make a differencestrategic recommendation that focus on measurable improvements in program deliveryrather than tactical recommendations that target minor adjustments to program implementation. Several examples from real word evaluations are highlighted in this paper, to demonstrate the different ways in which this technique can be modified to meet differing program goals. Specific tactics discussed include: creating a recommendation tracking database that organizes each recommendation by topic, sector, and category; classifying the current status of each recommendation; and the reporting interval for updating program recommendations. This approach has been well-received by program administrators and public service commissions. An example recommendation tracker template is also included in this paper so attendees have a take-away that provides immediate and lasting value. Tracking recommendations is an important way to demonstrate the value of conducting program evaluations, document the the progress each program is making over time, and ensure that the investments in EM&V activities are incorporated into future program designs. Introduction Program evaluations offer essential information regarding all aspects of program operations. This is especially true for process evaluations, which focus on providing essential and timely feedback regarding current program operations. A critical outcome of process evaluations, therefore, is to provide recommendations that will improve and enhance program operations. However, formulating recommendations that will provide both guidance to benefit an entire program portfolio or lead to improvements in overall program operations require 2020 Energy Evaluation Europe Conference — London, UK 2 thoughtful analysis. Unfortunately, many process evaluations include recommendations as an after-thought. They are hastily written, sometimes repeated verbatim for each evaluated program, and are not carefully tracked over time. The result is that these recommendations are read and maybe overlooked or forgotten, thus diluting the value of the overall process evaluation. This paper describes the ways in which the status of major recommendations from program or portfoliowide evaluations are monitored throughout the program cycle. This approach, currently used for statewide ","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121610057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4300
{"title":"Catholic Innovation Through E-Rosary: Between Fascination and Disapproval","authors":"","doi":"10.33423/jsis.v16i2.4300","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4300","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4301
{"title":"Assessment of Spatial Location and Air Transport Patterns of Minnesota’s Medical Device Industry Cluster","authors":"","doi":"10.33423/jsis.v16i2.4301","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4301","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4297
Petter Terenius
In our research, we address energy consumption of data centres, more than one per cent of the world’s future electrical power. Based on a systems approach, we currently explore commodity drying using data centre waste heat, an idea here presented for the first time to the research community. Many low- and mid-income countries are producing coffee, which sometimes needs mechanical drying. Using waste heat to dry coffee would be financially appealing. Conversely, if an existing drying facility may be powered by waste heat, this may call for small-scale data centre construction, in turn increasing ICT availability locally or regionally. Thus, there is a bond between environmental gains and sustainable growth of a community. We therefore investigate both environmental and societal benefits of this idea. Through a site selection based on a new index, we have chosen Costa Rica for our case study, and arrived to an estimate for its data centre waste heat drying capability. We also discuss our findings in relation to the UN Sustainable Development Goals (SDGs). The coffee production figures are collected from International Coffee Organisation. They refer to the “coffee year” of 2018, stretching from 1 October 2018 to 30 September 2019. GDP per capita rankings are taken from the International Money Fund (2019). China also produces coffee, but their numbers are not easily estimated, and not included in the organisation’s data. The United States Department of Agriculture, USDA (2020), estimates China’s export to about 1 900 000 bags.
{"title":"Using Data Centre Waste Heat to Dry Coffee Whilst Supplying Small-Scale Farmers With ICT: A Novel Idea and a Case Study Based on a Systems Approach","authors":"Petter Terenius","doi":"10.33423/jsis.v16i2.4297","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4297","url":null,"abstract":"In our research, we address energy consumption of data centres, more than one per cent of the world’s future electrical power. Based on a systems approach, we currently explore commodity drying using data centre waste heat, an idea here presented for the first time to the research community. Many low- and mid-income countries are producing coffee, which sometimes needs mechanical drying. Using waste heat to dry coffee would be financially appealing. Conversely, if an existing drying facility may be powered by waste heat, this may call for small-scale data centre construction, in turn increasing ICT availability locally or regionally. Thus, there is a bond between environmental gains and sustainable growth of a community. We therefore investigate both environmental and societal benefits of this idea. Through a site selection based on a new index, we have chosen Costa Rica for our case study, and arrived to an estimate for its data centre waste heat drying capability. We also discuss our findings in relation to the UN Sustainable Development Goals (SDGs). The coffee production figures are collected from International Coffee Organisation. They refer to the “coffee year” of 2018, stretching from 1 October 2018 to 30 September 2019. GDP per capita rankings are taken from the International Money Fund (2019). China also produces coffee, but their numbers are not easily estimated, and not included in the organisation’s data. The United States Department of Agriculture, USDA (2020), estimates China’s export to about 1 900 000 bags.","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126747801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4298
{"title":"The Impact of Mobile Order Ahead Apps on QSR Queuing","authors":"","doi":"10.33423/jsis.v16i2.4298","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4298","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125139608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4302
Nabil Carrubbo Luca Ruberto Margherita Georges Badr
Keywords: hospitalization at home, systems thinking, viable system, complex ecosystems, healthcare service ecosystems INTRODUCTION An effective Healthcare Service Ecosystem (H-SES) (Frow et al, 2014) must emphasize the notion of well-being co-creation which entails a dynamic interplay of actors, in face of the challenges, with their ability to use the available resource pools, at the different system levels (Häring et al, 2017). Healthcare Service Ecosystems have to support new concepts and services;technology deployment that facilitates telemedicine, care at home and consultation at a distance must be accelerated to expand the public's access to essential health services during the COVID-19 Pandemic (CDC.ORG). Motivation Healthcare systems have buckled under the health emergency in the pandemic, due to insufficient hospital availability of beds, long waiting times, lack of adoption of intervention plans for emergencies, lack of medical and health personnel, of the total absence of coordination between the different ones' actors and, above all, the lack of an adequate assistance territorial network (Grimm, 2020). [...]HaH can be viewed as a practical expression of H-SES adaptive features, re-configuration ability and modular design on the grounds of the System Thinking perspective".
{"title":"Responding to COVID – 19: Insight Into Capability Re-Configuration of Healthcare Service Ecosystems? The Use Case of Hospitalization at Home","authors":"Nabil Carrubbo Luca Ruberto Margherita Georges Badr","doi":"10.33423/jsis.v16i2.4302","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4302","url":null,"abstract":"Keywords: hospitalization at home, systems thinking, viable system, complex ecosystems, healthcare service ecosystems INTRODUCTION An effective Healthcare Service Ecosystem (H-SES) (Frow et al, 2014) must emphasize the notion of well-being co-creation which entails a dynamic interplay of actors, in face of the challenges, with their ability to use the available resource pools, at the different system levels (Häring et al, 2017). Healthcare Service Ecosystems have to support new concepts and services;technology deployment that facilitates telemedicine, care at home and consultation at a distance must be accelerated to expand the public's access to essential health services during the COVID-19 Pandemic (CDC.ORG). Motivation Healthcare systems have buckled under the health emergency in the pandemic, due to insufficient hospital availability of beds, long waiting times, lack of adoption of intervention plans for emergencies, lack of medical and health personnel, of the total absence of coordination between the different ones' actors and, above all, the lack of an adequate assistance territorial network (Grimm, 2020). [...]HaH can be viewed as a practical expression of H-SES adaptive features, re-configuration ability and modular design on the grounds of the System Thinking perspective\".","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116423430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.33423/jsis.v16i2.4293
{"title":"Application of Statistics Training to Real-World Contexts: Issues Related to Working as Data Analysts Outside Academe","authors":"","doi":"10.33423/jsis.v16i2.4293","DOIUrl":"https://doi.org/10.33423/jsis.v16i2.4293","url":null,"abstract":"","PeriodicalId":197350,"journal":{"name":"Journal of Strategic Innovation and Sustainability","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121272070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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