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Aston University expert explores sustainability in SME supply chains in new book
Professor Prasanta Kumar Dey is a co-author of Supply Chain Sustainability in Small and Medium Sized Enterprises The book provides a comprehensive roadmap for SMEs to achieve sustainable supply chains Using real world case studies, it offers practical guidance and expert insights for researchers and industry practitioners. An expert in sustainable supply chain operations and the circular economy at Aston University has co-authored a new book focused on the sustainability of small and medium sized enterprises (SMEs). Dr Prasanta Kumar Dey, professor of operations management at Aston Business School, has written Supply Chain Sustainability in Small and Medium Sized Enterprises alongside Dr Soumyadeb Chowdhury of Toulouse Business School and Dr Chrisovalantis Malesios from the Agricultural University of Athens. This comprehensive book examines the sustainability of supply chains in SMEs across developed and emerging economies. It draws on contributions from experts and examines case studies from countries including Thailand, Bangladesh, France, Spain, Austria and Greece. The book offers practical guidance for researchers and industry practitioners. It explores the trade-offs between economic, environmental and social aspects of sustainability, the current state of sustainable supply chain practices and critical success factors across various industries. The book highlights the experience of SMEs on the decarbonisation journey, from the concept to the implementation of the energy efficiency measures. This experience helps not only to standardise the customers’ journey towards decarbonisation but it also facilitates the undertaking of cost-benefit analysis for decarbonisation measures. Professor Prasanta Dey said: “Small and medium-sized enterprises are the backbone of economies worldwide. “Through this book, we aim to provide a comprehensive roadmap for SMEs to achieve sustainable supply chains, balancing economic growth with environmental stewardship and social responsibility. “The selection of the most effective enablers across facilities, operational processes and logistics for decarbonisation is made easier through the case studies of the book. “By learning from real-world case studies and expert insights, businesses can navigate the complexities of sustainability and drive impactful change. These help to develop a comprehensive reporting template for communicating energy audit outcomes to specific company for their further actions. The book also helps SMEs to develop implementation plan for decarbonisation measures. “Adopting a carbon footprint tool and business modelling technique from the book helps a decarbonization project identify energy-efficient strategies that reduce emissions and enhance economic, environmental and social performance.” You can purchase a copy of the book here.
In today's rapidly evolving digital landscape, cybersecurity has emerged as an indispensable aspect of business operations. Automated infrastructures, which include endpoint devices, cloud services, and IoT systems, have made companies more vulnerable to cyber threats. These threats can disrupt operations, lead to financial losses, and compromise sensitive data. Therefore, understanding and implementing robust cybersecurity measures is non-negotiable for modern enterprises seeking resilience and stability. Dr. Walter Schilling, professor and cybersecurity expert at Milwaukee School of Engineering, is available to discuss what companies should consider when designing their cyber defense strategy. To protect their automated infrastructure, businesses must: integrate cybersecurity deeply into their overall strategy adopt a proactive approach to identifying and mitigating risks conduct regular security assessments deploy advanced threat detection systems enforce strong access control policies train employees on cybersecurity best practices foster a culture of vigilance is equally important.
Ethical Implications of AI in Business: Balancing Innovation with Responsibility
Artificial Intelligence (AI) has revolutionized the business landscape, driving innovation and reshaping industries. From automating routine tasks to enhancing customer experiences, AI's applications are vast and rapidly expanding. As businesses stand on the brink of unprecedented technological advancement, they must also navigate the complex web of ethical implications associated with AI deployment. This delicate balance between innovation and responsibility sets the stage for an ongoing dialogue that is crucial for sustainable growth and societal well-being. Dr. Jeremy Kedziora, associate professor and the PieperPower Endowed Chair in Artificial Intelligence at Milwaukee School of Engineering (and former CIA chief methodologist), is available to discuss how these new technologies are enhancing business operations along with their ethical implications: Automating tasks using AI Using large language models like ChatGPT Algorithmic bias in AI systems Transparency in AI decision-making processes Steps needed to create fair and equitable AI solutions
Key topics at RNC 2024: Artificial Intelligence, Machine Learning and Cybersecurity
As the Republican National Convention 2024 begins, journalists from across the nation and the world will converge on Milwaukee, not only to cover the political spectacle but also to cover how the next potential administration will tackled issues that weren't likely on the radar or at least front and center last election: Artificial Intelligence, Machine Learning and Cybersecurity With technology and the threats that come with it moving at near exponential speeds - the next four years will see challenges that no president or administration has seen before. Plans and polices will be required that impact not just America - but one a global scale. To help visiting journalists navigate and understand these issues and how and where the Republican policies are taking on these topics our MSOE experts are available to offer insights. Dr. Jeremy Kedziora, Dr. Derek Riley and Dr. Walter Schilling are leading voices nationally on these important subjects and are ready to assist with any stories during the convention. . . . Dr. Jeremy Kedziora Associate Professor, PieperPower Endowed Chair in Artificial Intelligence Expertise: AI, machine learning, ChatGPT, ethics of AI, global technology revolution, using these tools to solve business problems or advance business objectives, political science. View Profile “Artificial intelligence and machine learning are part of everyday life at home and work. Businesses and industries—from manufacturing to health care and everything in between—are using them to solve problems, improve efficiencies and invent new products,” said Dr. John Walz, MSOE president. “We are excited to welcome Dr. Jeremy Kedziora as MSOE’s first PieperPower Endowed Chair in Artificial Intelligence. With MSOE as an educational leader in this space, it is imperative that our students are prepared to develop and advance AI and machine learning technologies while at the same time implementing them in a responsible and ethical manner.” MSOE names Dr. Jeremy Kedziora as Endowed Chair in Artificial Intelligence MSOE online March 22, 2023 . . . Dr. Derek Riley Professor, B.S. in Computer Science Program Director Expertise: AI, machine learning, facial recognition, deep learning, high performance computing, mobile computing, artificial intelligence View Profile “At this point, it's fairly hard to avoid being impacted by AI," said Derek Riley, the computer science program director at Milwaukee School of Engineering. “Generative AI can really make major changes to what we perceive in the media, what we hear, what we read.” Fake explicit pictures of Taylor Swift cause concern over lack of AI regulation CBS News January 26, 2024 . . . Dr. Walter Schilling Professor Expertise: Cybersecurity and the latest technological advancements in automobiles and home automation systems; how individuals can protect their business operations and personal networks. View Profile Milwaukee School of Engineering cybersecurity professor Walter Schilling said it's a great opportunity for his students. "Just to see what the real world is like that they're going to be entering into," said Schilling. Schilling said cybersecurity is something all local organizations, from small business to government, need to pay attention to. "It's something that Milwaukee has to be concerned about as well because of the large companies that we have headquartered here, as well as the companies we're trying to attract in the future," said Schilling. Could the future of cybersecurity be in Milwaukee?: SysLogic holds 3rd annual summit at MSOE CBS News April 26, 2022 . . . For further information and to arrange interviews with our experts, please contact: Media Relations Contact To schedule an interview or for more information, please contact: JoEllen Burdue Senior Director of Communications and Media Relations Phone: (414) 839-0906 Email: burdue@msoe.edu . . . About Milwaukee School of Engineering (MSOE) Milwaukee School of Engineering is the university of choice for those seeking an inclusive community of experiential learners driven to solve the complex challenges of today and tomorrow. The independent, non-profit university has about 2,800 students and was founded in 1903. MSOE offers bachelor's and master's degrees in engineering, business and nursing. Faculty are student-focused experts who bring real-world experience into the classroom. This approach to learning makes students ready now as well as prepared for the future. Longstanding partnerships with business and industry leaders enable students to learn alongside professional mentors, and challenge them to go beyond what's possible. MSOE graduates are leaders of character, responsible professionals, passionate learners and value creators.
Expert Q&A: Should We Permit AI to Determine Gender and Race from Resumes?
The banner ads on your browser, the route Google maps suggests for you, the song Spotify plays next: algorithms are inescapable in our daily lives. Some of us are already aware of the mechanisms behind a targeted ad or a dating profile that lights up our phone screen. However, few of us may actually stop to consider how this technology plays out in the hiring sector. As with any major technological advancement, it usually takes society (and legislation) a while to catch up and adjust for unintended consequences. Ultimately, algorithms are powerful tools. Like any tool, they have the potential for societal benefit or harm, depending on how they’re wielded. Here to weigh in on the matter is Assistant Professor of Information Systems & Operations Management Prasanna Parasurama, who recently joined Emory Goizueta Business School’s faculty in fall of 2023. This interview has been edited for clarity. Describe your research interests in six words. Six words…that’s difficult to do on the spot. How about “the impact of AI and other digital technologies on hiring.” Is that condensed enough? That works! What first interested you in the intersection of AI and hiring practices? Before I did my PhD, I was working as a data scientist in the HR analytics space at a start-up company. That is where my interest in the topic began. But this was a long time ago. People hadn’t started talking much about AI, or algorithmic hiring. The conversation around algorithmic bias and algorithmic fairness picked up steam in the second or third year of my PhD. That had a strong influence on my dissertation focus. And naturally, one of the contexts in which both these matters have large repercussions is in the hiring space. What demographics does your research focus on (gender identity, race/ethnicity, socioeconomic status, all of the above)? Do you focus on a particular job sector? My research mostly looks at gender and race for two main reasons. First, prior research has typically looked at race and gender, which gives us a better foundation to build on. Second, it’s much easier to measure gender and race based on the data that we have available—from resumes, from hiring data, like what we collect from the Equal Employment Opportunity Commission. They typically collect data on gender and race, and our research requires those really large data sets to draw patterns. They don’t ask for socioeconomic status or have an easy way to quantify that information. That’s not to say those are less important factors, or that no one is looking at them. One of the papers you’re working on examines resumes written by self-identified men and women. It looks at how their resumes differ, and how that influenced their likelihood of being contacted for an interview. So in this paper, we’re essentially looking at how men and women write their resumes differently and if that impacts hiring outcomes. Take resume screening algorithms, for example. One proposed way to reduce bias in these screening algorithms is to remove names from resumes to blind the applicant’s gender to the algorithm. But just removing names does very little, because there are so many other things that serve as proxies to someone’s gender. While our research is focused on people applying to jobs in the tech sector, this is true across occupations. "We find it’s easy to train an algorithm to accurately predict gender, even with names redacted." Prasanna Parasurama What are some of those gendered “tells” on a resume? People write down hobbies and extracurricular activities, and some of those are very gendered. Dancing and ballet tend to denote female applicants; you’re more likely to see something like wrestling for male applicants. Beyond hobbies, which is sort of obvious, is just how people write things, or the language they use. Female applicants tend to use a lot more affective words. Men, on the other hand, use more of what we call agentic words. Can you explain that a little more? In social psychology, social role theory argues that men are stereotyped to be more agentic, whereas women are stereotyped to be more communal, and that their communication styles reflect this. There’s essentially a list of agentic words that researchers have come up with that men use a lot more than women. And women are more likely to use affective words, like “warmly” or “closely,” which have to do with emotions or attitudes. These communication differences between men and women have been demonstrated in social sciences before, which has helped inform our work. But we’re not just relying on social science tools—our conclusions are driven by our own data. If a word is able to predict that an applicant’s resume belongs to a female versus male applicant, then we assign different weights, depending on how accurately it can predict that. So we’re not just operating on theories. Were there any gendered patterns that surprised you? If you were to assign masculinity and femininity to particular words, an algorithm would likely assign “married” to be a feminine term in most contexts. But in this particular case, it’s actually more associated with men. Men are much more likely to use it in resumes, because it signals something different to society than when women use it. "One of the most predictive terms for men was references to parenthood. It’s much easier for men to reference kids than for women to reveal information about their household status. Women face a penalty where men receive a boost." Prasanna Parasurama Studies show that people perceive fathers as being more responsible employees, whereas mothers are regarded as less reliable in the workplace. We haven’t studied this, but I would speculate that if you go on a platform like LinkedIn, men are more likely to disclose details about fatherhood, marriage, and kids than women are. There were some other tidbits that I didn’t see coming, like the fact that women are much less likely to put their addresses on their resume. Can AI predict race from a resume as easily as it can predict gender? There’s surprisingly very little we know on that front. From existing literature outside of algorithmic literature, we know differences exist in terms of race, not just on the employer side, where there might be bias, but we also on the worker side. People of different races search for jobs differently. The question is, how do we take this into account in the algorithm? From a technical standpoint, it should be feasible to do the same thing we do with gender, but it just becomes a little bit harder to predict race in practice. The cues are so variable. Gender is also more universal – no matter where you live, there are probably men and women and people who identify as in between or other. Whereas the concept of race can be very specific in different geographic regions. Racial identities in America are very different from racial identities in India, for instance. And in a place like India, religion matters a lot more than it does in the United States. So this conversation around algorithms and bias will look different across the globe. Beyond screening resumes, how does AI impact people’s access to job opportunities? A lot of hiring platforms and labor market intermediaries such as LinkedIn use AI. Their task is to match workers to these different jobs. There’s so many jobs and so many workers. No one can manually go through each one. So they have to train algorithms based on existing behavior and existing design decisions on the platform to recommend applicants to particular jobs and vice versa. When we talk about algorithmic hiring, it’s not just hiring per se, but spaces like these which dictate what opportunities you’re exposed to. It has a huge impact on who ends up with what job. What impact do you want your research to have in the real world? Do you think that we actually should use algorithms to figure out gender or race? Is it even possible to blind AI to gender or race? Algorithms are here to stay, for better or worse. We need them. When we think about algorithmic hiring, I think people picture an actual robot deciding who to hire. That’s not the case. Algorithms are typically only taking the space of the initial part of hiring. "I think overall, algorithms make our lives better. They can recommend a job to you based on more sophisticated factors than when the job was chronologically posted. There’s also no reason to believe that a human will be less biased than an algorithm." Prasanna Parasurama I think the consensus is that we can’t blind the algorithm to gender or other factors. Instead, we do have to take people’s demographics into account and monitor outcomes to correct for any sort of demonstrable bias. LinkedIn, for example, does a fairly good job publishing research on how they train their algorithms. It’s better to address the problem head on, to take demographic factors into account upfront and make sure that there aren’t drastic differences in outcomes between different demographics. What advice would you give to hopeful job candidates navigating these systems? Years of research have shown that going through a connection or a referral is by far the best way to increase your odds of getting an interview—by a factor of literally 200 to 300 percent. Hiring is still a very personal thing. People typically trust people they know. Prasanna Parasurama is an Assistant Professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. Prasanna’s research areas include algorithmic hiring, algorithmic bias and fairness, and human-AI interaction. His research leverages a wide array of quantitative methods including econometrics, machine learning, and natural language processing. Prasanna is available to talk about this important and developing topic - simply click on his icon now to arrange an interview today.
Milwaukee-Based Experts Available During 2024 Republican National Convention
Journalists attending the Republican National Convention (RNC) are invited to engage with leading Milwaukee School of Engineering (MSOE) experts in a range of fields, including artificial intelligence (AI), machine learning, cybersecurity, urban studies, biotechnology, population health, water resources, and higher education. MSOE media relations are available to identify key experts and assist in setting up interviews (See contact details below). As the RNC brings national attention to Milwaukee, discussions are expected to cover pivotal topics such as national security, technological innovation, urban development, and higher education. MSOE's experts are well-positioned to provide research and insights, as well as local context for your coverage. Artificial Intelligence, Machine Learning, Cybersecurity Dr. Jeremy Kedziora Associate Professor, PieperPower Endowed Chair in Artificial Intelligence Expertise: AI, machine learning, ChatGPT, ethics of AI, global technology revolution, using these tools to solve business problems or advance business objectives, political science. View Profile Dr. Derek Riley Professor, B.S. in Computer Science Program Director Expertise: AI, machine learning, facial recognition, deep learning, high performance computing, mobile computing, artificial intelligence View Profile Dr. Walter Schilling Professor Expertise: Cybersecurity and the latest technological advancements in automobiles and home automation systems; how individuals can protect their business operations and personal networks. View Profile Milwaukee and Wisconsin: Culture, Architecture & Urban Planning, Design Dr. Michael Carriere Professor, Honors Program Director Expertise: an urban historian, with expertise in American history, urban studies and sustainability; growth of Milwaukee's neighborhoods, the challenges many of them are facing, and some of the solutions that are being implemented. Dr. Carriere is an expert in Milwaukee and Wisconsin history and politics, urban agriculture, creative placemaking, and the Milwaukee music scene. View Profile Kurt Zimmerman Assistant Professor Expertise: Architectural history of Milwaukee, architecture, urban planning and sustainable design. View Profile Biotechnology Dr. Wujie Zhang Professor, Chemical and Biomolecular Engineering Expertise: Biomaterials; Regenerative Medicine and Tissue Engineering; Micro/Nano-technology; Drug Delivery; Stem Cell Research; Cancer Treatment; Cryobiology; Food Science and Engineering (Fluent in Chinese and English) View Profile Dr. Jung Lee Professor, Chemical and Biomolecular Engineering Expertise: Bioinformatics, drug design and molecular modeling. View Profile Population Health Robin Gates Assistant Professor, Nursing Expertise: Population health expert: understanding and addressing the diverse factors that influence health outcomes across different populations. View Profile Water Resources Dr. William Gonwa Professor, Civil Engineering Expertise: Water Resources, Sewers, Storm Water, Civil Engineering education View Profile Higher Education Dr. Eric Baumgartner Executive Vice President of Academics Expertise: Thought leadership on higher education, relevancy and value of higher ed, role of A.I. in future degrees and workforce development. View Profile Dr. Candela Marini Assistant Professor Expertise: Latin American Studies and Visual Culture View Profile Dr. John Walz President Expertise: Thought leadership on higher education, relevancy and value of higher ed View Profile Media Relations Contact To schedule an interview or for more information, please contact: JoEllen Burdue Senior Director of Communications and Media Relations Phone: (414) 839-0906 Email: burdue@msoe.edu About Milwaukee School of Engineering (MSOE) Milwaukee School of Engineering is the university of choice for those seeking an inclusive community of experiential learners driven to solve the complex challenges of today and tomorrow. The independent, non-profit university has about 2,800 students and was founded in 1903. MSOE offers bachelor's and master's degrees in engineering, business and nursing. Faculty are student-focused experts who bring real-world experience into the classroom. This approach to learning makes students ready now as well as prepared for the future. Longstanding partnerships with business and industry leaders enable students to learn alongside professional mentors, and challenge them to go beyond what's possible. MSOE graduates are leaders of character, responsible professionals, passionate learners and value creators.
New research from Goizueta’s Diwas KC unpacks the dual impact of Prescription Drug Monitoring Programs on opioid prescriptions and heroin overdose deaths. More than two million individuals in the US are experiencing Opioid Use Disorder (OUD). The CDC defines OUD as “a problematic pattern of opioid use that causes significant impairment or distress.” Around 130 people die of opioid overdoses every day. Perhaps more startlingly, four million people over the age of 12 have reported using pain medication recreationally, including opioids. Prescription opioids are a highly-regulated class of drug. They interact with the opioid receptors on nerve cells throughout the body, as well as the brain, which reduces the intensity of pain signals to the body. For many, they are a necessary prescription to get through the pain of surgery or injury, as the body heals itself. Unfortunately, the function of opioids in the body—releasing endorphins and boosting feelings of pleasure, as well as reducing pain—also make them highly addictive. PDMP: A Successful Federal Mandate The United States continues to see increases in deaths from opioid overdoses. So, federal and state governments have been working in enact policies that are designed to decrease those fatalities. One of the methods states are using to prevent common abuse patterns like “doctor shopping,” which is the pattern of visiting multiple physicians to obtain prescriptions, is the Prescription Drug Monitoring Program (PDMP), designed to be used in conjunction with Health Information Technology (HIT) programs. PDMP serve two purposes: identifying drug-seeking behaviors in patients, and identifying physicians with patterns of inappropriate prescribing. Nearly all 50 states have enacted PDMPs of some degree. Some programs require physicians to check the PDMP before prescribing restricted pharmaceuticals, but in others it’s only suggested. Intrastate communication between PDMPs is not always possible, however. The Unintended Consequences The use of PDMPs has been shown to reduce the number of opioid prescriptions, the intended outcome of the program. Enter a recently published study by Diwas KC, Goizueta Foundation Term Professor of Information Systems & Operations Management. The research shows that during time the research was conducted, prescriptions for opioids declined by 6.1%. However, the research also brought to light a very serious and unintended consequence of the implementation of PDMPs. The study concluded that while the implementation of PDMPs did reduce opioid prescriptions, it did not reduce overall numbers of prescription opioid deaths. In fact, it may have contributed to a 50% increase in heroin overdose fatalities. “The heroin increase was definitely something we were not expecting, it was a total surprise,” says KC. "It was something that we had hypothesized. You’ve got a bunch of individuals who have used prescription opiates and had presumably been dependent. Now with the passage of this PDMP law, it has become more difficult to obtain prescription opiates. Therefore, some people might be forced to turn to the street version of it." Diwas KC “We didn’t expect the effect size it to be as significant as it is,” says KC. Heroin and commonly prescribed opioids like oxycodone and hydrocodone are very similar on a biochemical level. What’s more, they generate a similar sensation in the body, according to KC. That’s why he and his team had the initial hypothesis that some addicted individuals, when unable to get prescription medication, might turn to street drugs, which are much more dangerous on many levels. “There are many aspects to this. One has to do with the potency and the toxicity of the things you get on the streets. There are very little checks and balances on those. There’s no control in quality for sure,” KC says. He also notes the lack of checks and balances on the frequency of usage. “So the frequency of usage, the quality of the substances you’re putting inside your body, and possibly the circumstances of acquiring it might also be very risky too.” A Dual Impact The research concludes that mandating PDMP use is an example of a successful use of policy for intervention. It does, in fact, decrease the number of opioid prescriptions available to patients. That’s critical information for policy makers and physicians to take in. And it’s a solid reason to keep using and expanding PDMP usage, according to KC. "I should point out very clearly that the policy did have the intended effect of reducing prescriptions. So, it definitely benefited people who might otherwise have become addicted." Diwas KC “By reducing unnecessary prescriptions it might have limited the number of people who would have gotten hooked on the drugs in the first place. So there’s definitely the benefit of that,” says KC. “It’s just that when the policy was implemented, there was also this side effect because of people who were already using it. So, when those people were forced to look for alternatives, that’s when things got bad.” Research papers like this one show an important side of using data to mark successes and failures of government policies. Taken on the surface, data can show a policy’s impact for the greater good. But a deeper dive into the surrounding data—like the increase in heroin use after the implementation of PDMPs—gives everyone a better idea of the full impact of this mandate. "Policies have intended as well as unintended consequences. In this case of PDMP it had the desired effect of reducing prescriptions. That probably helped a lot of people not get addicted to opiates in the first place." Diwas KC “But sometimes policies also have unintended consequences,” says KC. “Like in the case of people who were already addicted to painkillers suddenly stopping it, causing them to take drastic actions, and that’s what happened for some of the people in the study. Policies need to consider the possibility of unintended consequences and take actions to also mitigate those unintended consequences.” Interested in knowing more? Diwas KC is the Goizueta Foundation Term Professor of Information Systems & Operations Management. He is available to talk about this important topic - simply click on his icon now to arrange an interview today
Expert Research: Hurricanes and Natural Disasters Linked to “Grocery Tax” for Lower-Income Americans
Research from Goizueta’s William Schmidt uncovers the disproportionate impact of natural disasters on low-income families’ access to essentials. Global warming is accelerating severe weather with cataclysmic outcomes for communities all over the world. In 2023, the hottest year on record, no fewer than 23 weather-related disasters struck the United States. These natural disasters claimed hundreds of lives and caused $57 billion in damage. Recently, the federal government has come under scrutiny for uneven aid response to communities affected by hurricanes, fires, and flooding in America. William Schmidt But might there be other factors at play that see disadvantaged groups more vulnerable to the impact of severe weather events? Weighing into this is award-winning research by Goizueta Business School’s William Schmidt, associate professor of Information Systems and Operations Management. He and Xabier Barriola from INSEAD Business School look at the effect of three major hurricanes in the U.S. in the last 20 years. They find evidence of higher paid prices for basic groceries in the aftermath of each storm that disproportionately impact lower-income communities in affected states. In fact, says Schmidt, when severe weather hits communities, these families end up paying anywhere between one and five percent more relative to high income households for essential food and goods. This puts a major strain on already-strained resources in times of massive disruption. "We see a spike in the prices paid for household groceries of up to five percent hitting low-income groups immediately after a major storm hits." William Schmidt “Then you have to factor in the reality that poorer households spend around eight times more of their disposable income on basic groceries than high-income households,” says Schmidt. “It becomes clear that the aftermath of severe weather is harder for them to bear. And in our research, this is an effect that lasts for months, not weeks or days.” Exposing Hidden Costs on Those Hit Hardest To get to these findings, Schmidt and Barriola worked from a hunch. They figured that in low-income areas, a lack of infrastructure, lower-quality construction, and fewer grocery store outlets could translate into supply shortages in emergencies. Ensuing stockouts might then lead to knock-on price inflation for customers. These are low-income families for whom inflation has serious and significant consequences, Schmidt says. "We know that inflation hurts poorer communities. High-income families have the option of switching between high and low-priced goods according to needs or preference. But families with lower incomes are already purchasing low-priced groceries." William Schmidt “When there are disaster-induced stockouts to their preferred products, those families are forced to substitute to higher priced groceries,” Schmidt continues. Then there’s retailer behavior. Following large environmental disasters, store managers may be unable to keep necessities in stock. Under those circumstances, it is difficult to justify running promotions or implementing planned price decreases. To test these ideas, Schmidt and his colleagues looked at data from the weeks and months following Hurricanes Katarina (2005), Ike (2008), and Sandy (2012). They decided to pinpoint those locations immediately impacted at the county level. To do so, they used major disaster declarations issued by the federal government at the time. Then they integrated this with detailed grocery store sales data provided by Information Resources Inc (IRI) with zip code-level household income and demographic data from the U.S. Census Bureau. With each hurricane, the researchers looked at IRI data covering 30 different product categories and around 200 million transactions over a 12-week period. Schmidt and his colleagues then ran a set of analyses comparing prices paid by communities before and after each hurricane. They also contrasted price increases paid by low-income and high-income households as well as communities outside of the areas affected by the storms. Crunching the Numbers “Doing this triple-difference regression analysis, we find that lower-income communities pay an average 2.9 percent more for their groceries. That’s in the eight weeks following each of these disasters,” says Schmidt. "The effect varies. But it is roughly commensurate with the overall economic damage wrought by each hurricane, with Katrina being the worst. Here low-income families were seeing a 5.1 percent increase in the cost of food and basic goods, relative to richer households." William Schmidt The study points to a variety of mechanisms driving these effects. As Schmidt and his co-authors hypothesize, there is evidence that the same disruptions lead to fewer price promotions. They also see more frequent stockouts of low-priced goods. At the same time, there’s a shift in household purchasing from low to higher-priced products. These effects are long-lasting, says Schmidt. According to the study, post-hurricane inflation in the prices paid by consumers continues to affect poorer families for eight or more weeks. This amounts to months of economic hardship for those least resilient to its effects. Schmidt calls this “permanent inflation.” Pursuing Equity in Crisis Operations managers and policymakers should factor these findings into emergency relief efforts, say Schmidt and his colleague. The goal should be to service communities more equitably. So, there should be more thought to the provision of essential food and household goods. Also, there should be a particular focus on those most vulnerable to natural disasters and their effects. Current disaster nutrition relief programs are typically short. Authorities might do better by vulnerable communities by also extending things like cash and voucher programs, says Schmidt. And they should prioritize the ordering, shipment, and warehousing of essential goods. “Our research shows that hurricanes cost certain groups of Americans more than others in the longer run. The permanent inflation on food stuff and household necessities that we find constitutes an additional burden on part of our national fabric. These are people who are least positioned to afford it.” Hurricanes and the economy are both sought-after topics - and if you're covering, we can help. William Schmidt is an associate professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. His research focuses on understanding and mitigating operational disruptions, and applications of machine learning in operational decision making. To connect with William to arrange an interview - simply click his icon now.
Major UK tile company joins up with Aston University to digitise for the future
Shropshire-based Craven Dunnill has been in business for over 150 years The company will work with the University through a Management Knowledge Transfer Partnership (mKTP) It will streamline and digitise its warehouse processes and practices as part of a long-term growth plan. The UK’s longest-operating manufacturer, supplier and importer of ceramic tiles has joined forces with Aston University in a Management Knowledge Transfer Partnership (mKTP). Shropshire-based Craven Dunnill, which has been in business for over 150 years, has a large and complex supply chain, both of finished tiles and of the raw materials for manufacturing. Its customers are consumers, merchants, property developers, bathroom and kitchen retailers, in addition to architectural and building communities. A KTP is a three-way collaboration between a business, an academic partner and a highly qualified researcher, known as a KTP associate. The UK-wide programme helps businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills. Aston University is a sector leading KTP provider, with 80% of its completed projects being graded as very good or outstanding by Innovate UK, the national body. An mKTP focuses specifically on increasing effectiveness and improving results through better management practices. The company wants to fully streamline and digitise its processes and practices, including ordering, purchasing, stock and warehouse management, as well as delivery planning and sales tracking. It would also see the company’s different business divisions integrated. Developing an accurate real-time warehouse management system is a key part of the project as, currently, different production batches vary slightly in colour and size, making it crucial not to mix them when fulfilling orders. The company is working with Aston University’s Professor Ben Clegg and Dr Gajanan Panchal (academic lead and supervisor) from Aston Business School. Professor Clegg, a professor of operations management, has pioneered a successful methodology called Process Oriented Holonic Modelling (PrOH Modelling), a way of fully engaging employees in organisational change using systems modelling and storyboarding, that will be used to help Craven Dunnill’s employees to guide and implement new processes. Dr Panchal specialises in logistics and supply chain management, including warehouse management and optimisation. He uses a variety of approaches to comprehend and analyse problems with warehousing operations. Completing the team in the KTP associate position is Dr Olanrewaju Sanda, who has started analysing the issues in the warehouse including the data around inventory accuracy and stock selection. Working closely with management and the Aston University team, he will digitalise operational systems. Part of this will include building a digital dashboard to represent the factory and move it towards a ‘digital twin’. Simon Howells, CEO of Craven Dunnill, said: “Although the mKTP is for two years, we don’t see it as a finite project. It will improve our pace of change and our developmental dynamism. Our supply chains and processes are complex, and we know getting the best advice and expertise is going to be really crucial for the long-term growth of the company.” Professor Ben Clegg said: “We’ve been using the PrOH modelling approach in various forms for several research projects. The more people we can involve, the more successful the project tends to be. I think the company was interested in our unique combination of our knowledge of digital technologies, logistics and our expertise in organisational change.” Olanrewaju Sanda said: “The warehouse is the heartbeat of the company – everything flows in and out of there. If we can solve the high-level problems at the warehouse, it will trickle down to everything else and leave the company in the best possible position for the future.”
NATO Turning 75 | Media Advisory
The 75th anniversary of the North Atlantic Treaty Organization (NATO) holds immense significance for the public as it marks three-quarters of a century of collective defense, cooperation, and peacekeeping among member nations. This event matters as it symbolizes NATO's enduring commitment to safeguarding the freedom and security of its member states in an ever-changing global landscape. As the world faces new security challenges, NATO's role in promoting stability, democracy, and international cooperation remains vital to ensuring peace and prosperity for generations to come. Story angles of interest to a broad audience may include: The historical context and founding principles of NATO NATO's contributions to peacekeeping and crisis management operations Evolving security threats and NATO's adaptation to meet modern challenges NATO's partnerships with non-member states and international organizations The role of NATO in addressing emerging security threats such as cyber warfare and terrorism The future of NATO and the importance of transatlantic cooperation in an increasingly uncertain world. Connect with an Expert about NATO For journalists with questions or looking to cover the history, purpose and role the North Atlantic Treaty Organization plays on the global stage, here is a select list of experts. To search our full list of experts visit www.expertfile.com David R. Dorondo Professor · Western Carolina University Frank Costigliola, D.Phil. Distinguished Professor, Department of History · University of Connecticut Craig Albert, PhD Professor of Political Science and Graduate Director of the Master of Arts in Intelligence and Security Studies · Augusta University Randall Stone Professor of Political Science and Director of the Skalny Center for Polish & Central European Studies · University of Rochester Glen Duerr, Ph.D. Professor of International Studies · Cedarville University Photo Credit: Marek Studzinski
