Author Archives: support

Corporate Audits Benefit from Industry Experience, Research Reveals

Recent research findings suggest that corporations engaging auditors with specialised expertise in their respective fields gain significant cost benefits and attain a more accurate financial overview, enhancing investor trust.

The research, led by Birendra Mishra and Theodore Mock from the School of Business at UC Riverside, delves into the impact of auditors’ industry-specific experience on the pricing and quality of audits. This study scrutinises over 32,000 auditing instances in India, a nation whose corporate financial regulations mirror those of the U.S., uncovering that auditors—termed “partners” in the study—who possess profound industry knowledge not only elevate the quality of audits but also reduce costs for clients during initial audits.

Mishra, an esteemed professor of accounting, underscores the significance of expertise in the auditing field by comparing skilled auditors to adept surgeons whose experience ensures swiftness and precision, subsequently benefiting clients through cost reductions. He emphasises that such expertise allows auditors to tackle complex issues more adeptly, ensuring high-quality audit outcomes.

Furthermore, the study advises against choosing auditors who initially undercharge—”low-balling”—to compensate for their lack of experience. This practice often increases fees in subsequent years as these auditors strive to offset initial discounts, resulting in escalated costs and diminished audit quality over time. Mishra highlights that auditors with ample industry experience do not need to resort to low-balling, as their efficiency enables them to offer competitive pricing initially without subsequent significant fee increases. He points out that focusing on cost recovery can detract from the primary goal of conducting thorough and accurate audits.

The research utilises a robust dataset from India, where auditing regulations require the disclosure of lead auditors in financial reports. This transparency has enabled the researchers to precisely track the industry-specific experience of individual auditors and develop a novel metric, “INDEXP_PTNR,” which quantifies an auditor’s cumulative years of industry experience. By employing sophisticated statistical models, the study assesses the influence of this experience on the pricing of initial-year audits, adjustments in fees in later years, and overall audit quality.

Mishra notes the close resemblance between Indian and U.S. auditing standards, which amplifies the study’s international relevance. He suggests that the insights gained could revolutionise how companies select their auditing partners and influence regulatory frameworks in the U.S. and other countries. Given that U.S. law mandates annual audits for publicly traded companies, which can be costly, enhancing audit processes could significantly impact a company’s financial transparency and, by extension, its market value.

Highlighting the broader implications of high-quality audits, Mishra points out that they strengthen the correlation between reported earnings and stock prices, thereby boosting investor confidence. The rigorous link established through reliable auditing practices can elevate a company’s stock valuation and market standing.

Mishra concludes by recommending that companies in the process of selecting an auditor prefer candidates with substantial industry-specific experience. These candidates are more likely to deliver superior results and maintain manageable audit costs over time, potentially enhancing the company’s stock performance.

More information: Naman Desai et al, The Effects of Audit Partner Industry Experience on Lowballing, Subsequent Audit Fees, and Audit Quality, Auditing A Journal of Practice & Theory. DOI: 10.2308/AJPT-2022-133

Journal information: Auditing A Journal of Practice & Theory Provided by University of California – Riverside

New Study Explores How Job Advertisements Influence Gender and Racial Segregation in the UK Workforce

A recent study led by Lancaster University in the UK raised concerns about the unintended consequences of using equality, diversity, and inclusion (EDI) in job advertisements. This language, intended to create a more gender-balanced workplace, is counterproductive. The study indicates that such language, while designed to attract racial minorities, does not effectively change the racial makeup of the workforce.

The research shows that workplaces with more female employees often include job ads featuring language related to family-friendly policies and flexible work arrangements. This type of language attracts more female than male applicants, potentially increasing gender segregation within these organisations. Similarly, workplaces with a significant number of racial minority employees frequently use EDI policies and language that signals a commitment to a diverse and inclusive workplace culture. However, these messages have little effect on the actual racial composition of the workforce.

The study’s findings are published in PNAS Nexus, an official journal of the National Academy of Sciences of the United States of America. The paper, titled ‘Language in Job Advertisements and the Reproduction of labour force gender and racial segregation,’ offers an extensive audit of how gender and EDI language in job advertisements influence the gender and racial composition of the workforce. It also examines how the existing composition of the labour force affects the use of gender and EDI language in job ads.

This research was a collaborative effort involving universities from the UK, Canada, and the USA, supported by funding from the UKRI Economic and Social Research Council (ESRC) in the UK and the Social Sciences and Humanities Research Council (SSHRC) of Canada. The project is part of a more extensive study focusing on AI and labour market equality. The research team, comprising sociologists, management scholars, and data scientists, analysed 28.6 million job advertisements in the UK from 2018 to 2023 using advanced natural language processing techniques. Combined with ONS labour force statistics, this approach makes it the most comprehensive study.

Professor Yang Hu from Lancaster University, the study’s lead author, emphasised the importance of understanding and addressing persistent gender and racial segregation in the labour force to enhance equality and diversity in the job market. Associate Professor Nicole Denier from the University of Alberta highlighted how job advertisements are the initial contact point between job seekers and employers, shaping the labour force by influencing who applies for jobs and how candidates are evaluated.

The research developed a novel inventory to categorise the language used in job ads across six dimensions related to gender and EDI. These include explicit gender references, gendered psychological cues, gendered work roles and skills, family-friendly versus family-unfriendly policies, EDI policy pledges, and EDI cultural references. This inventory helped the researchers map the use of gender and EDI language across different occupations and industries and correlate it with the gender and racial demographics of the respective workforces.

The study identifies three distinct patterns in the interaction between job ad language and workforce composition. Firstly, it suggests that language in job ads can reinforce workforce segregation by using cues that predominantly attract female applicants in sectors already dominated by women. Secondly, it finds that certain language elements in job ads could disrupt workforce segregation by balancing gender representation. Lastly, it reveals that despite the inclusion of EDI language in job ads, there is little impact on the representation of racial minorities in the workforce.

These insights underline the complexities of using language in job ads to influence workforce composition and point to the limitations of such interventions. Professor Hu called for a significant reevaluation of how employers frame their job ads, suggesting more meaningful approaches to communicate and implement EDI strategies.

Professor Monideepa Tarafdar from the University of Massachusetts Amherst, a co-principal Investigator of the project, and Professor Karen Hughes from the University of Alberta highlighted the importance of this cross-disciplinary, international collaboration. They noted that integrating large language models and AI-driven text analysis tools in drafting job ads offers a promising path towards building labour market equality, which this research helps pave the way.

More information: Yang Hu et al, Language in job advertisements and the reproduction of labor force gender and racial segregation, PNAS Nexus. DOI: 10.1093/pnasnexus/pgae526

Journal information: PNAS Nexus Provided by Lancaster University

Marketers Take Note: The Impact of Privacy-Focused Policies at Firms Like Google on Advertising Efficiency

Researchers from the University of Notre Dame, the University of Southern California, and San Diego State University have conducted a study to explore the unforeseen impacts of privacy-centric policies that limit the duration of consumer data retention. This research is set to be published in the Journal of Marketing under the title “Within-Category Satiation and Cross-Category Spillover in Multi-Product Advertising,” authored by Shijie Lu, Sha Yang, and Yao (Alex) Yao.

Online display advertising, now the predominant form of digital advertising, has cultivated an industry valued at approximately $118 billion in the United States alone. Numerous advertising platforms, including online marketplaces like Yahoo Shopping and JD.com, major online retailers like Macy’s, and social media behemoths like Facebook and Instagram, employ multi-product advertising (MPA) strategies. These MPAs enable showcasing several products within a single advertisement, proving particularly beneficial for platforms with a wide range of offerings.

The strategic layout of MPAs allows for the simultaneous exposure of consumers to various products, thereby capturing more attention. This method of presentation may lead to two primary consumer responses: Firstly, the repeated exposure to similar ads from the same category within an MPA might cause a decrease in interest and click-through rates for those ads over time, as consumers may find less novelty or relevance in subsequent ads for the same product. Secondly, the concurrent display of advertisements from different categories can enhance consumer interest in both categories, creating a complementary effect between them.

This new study aims to assess the unintended consequences of privacy-oriented policies implemented by technology giants like Google, which aim to shorten the period during which consumer behavioural data is retained. The research finds that while these policies safeguard consumer privacy, they inadvertently lead to reduced consumer engagement and satisfaction with advertisements, ultimately diminishing ad performance due to decreased clicks. This reduction in ad performance is primarily attributed to a decrease in the variety of ads shown in MPAs, stemming from the shortened data retention period used for targeting.

Shijie Lu highlights that these privacy measures intensify “within-category satiation”—where consumers lose interest in similar products after frequent exposure—and diminish “cross-category complementarity,” where exposure to ads from different product categories mutually enhances interest. These dynamics are crucial for platforms to consider as they aim to balance consumer privacy with effective advertising strategies.

The study offers insights for Chief Marketing Officers and advertising platforms, emphasising the importance of understanding the trade-offs between privacy policies and advertising efficacy. It suggests that platforms carefully weigh the effects of their privacy measures on ad variety and consumer engagement. Although protecting consumer data is critical, ensuring these measures do not compromise advertising effectiveness is equally important.

Further, the research underscores the potential economic benefits of refining ad-serving policies to include advertisers’ bidding strategies and consumer preferences in ad slot allocations. It reveals the existence of two distinct consumer segments that differ in both baseline preferences and satiation levels in ad-clicking behaviour, suggesting more sophisticated ad-allocation policies that account for within-category satiation and cross-category spillover could prove more beneficial for platforms than strategies solely based on advertisers’ bids.

Lastly, the study sheds light on how platforms might adjust the reservation price in ad auctions to influence consumer behaviour through ad variety indirectly and how such adjustments could benefit the platform. Still, it might adversely affect both advertisers and consumers. Yao (Alex) comments on the study: “Our research highlights the intricate interplay between privacy policies and advertising effectiveness. As privacy concerns continue to influence the digital advertising landscape, both platforms and advertisers must navigate these challenges to optimise ad performance while safeguarding consumer interests.”

More information: Shijie Lu et al, Within-Category Satiation and Cross-Category Spillover in Multiproduct Advertising, Journal of Marketing. DOI: 10.1177/00222429241274727

Journal information: Journal of Marketing Provided by American Marketing Association

ChatGPT’s Shortcomings Indicate It’s Not Ready to Supplant Finance Experts

Large language models such as ChatGPT have demonstrated proficiency in selecting multiple-choice answers on financial licensing exams, yet they encounter difficulties when tasked with more complex, nuanced activities. This was highlighted in a study by Washington State University, which scrutinised over 10,000 responses from artificial intelligence models, including BARD, Llama, and ChatGPT, to questions from financial exams.

The study, spearheaded by DJ Fairhurst from WSU’s Carson College of Business, involved the models not only selecting answers but also articulating the reasoning behind their choices. These explanations were then evaluated against those given by human finance professionals. Among the models, two iterations of ChatGPT emerged as the most adept at these tasks. Nevertheless, even these versions exhibited significant inaccuracies when addressing more intricate subjects.

DJ Fairhurst remarked, “It’s far too early to be concerned about ChatGPT completely taking over finance jobs.” He explained that while the model performs admirably with well-documented broad concepts, it struggles significantly with unique, specific issues. This study, published in the Financial Analysts Journal, included questions from licensing exams like the Securities Industry Essentials exam and the Series 6, 7, 65, and 66, aiming to mirror tasks that financial professionals might actually undertake.

The researchers took the assessment a step further by requiring the models to produce written explanations for their answers, specifically choosing questions that reflect the practical job tasks of financial professionals. Fairhurst emphasised the necessity of probing beyond the models’ ability to select correct answers to understand their capabilities.

Of all the models tested, the paid version of ChatGPT, version 4.0, was most closely aligned with human expert responses, showing a substantial lead in accuracy—18 to 28 percentage points higher than its counterparts. Interestingly, when the researchers fine-tuned an earlier version of ChatGPT, version 3.5, by providing examples of correct responses and explanations, it nearly matched and occasionally exceeded the performance of version 4.0.

Despite these advances, both versions of ChatGPT still fell short in certain areas. They performed well in reviewing securities transactions and monitoring financial market trends. Still, their responses were less accurate in specialised scenarios such as assessing clients’ insurance coverage and tax status.

Fairhurst, Greene, and WSU doctoral student Adam Bozman are further exploring ChatGPT’s limitations and capabilities in a new project involving evaluating potential merger deals. By focusing on deals concluded after September 2021, a period beyond ChatGPT’s training data, they aim to gauge the model’s effectiveness in real-world scenarios. Preliminary results suggest that the AI model is not particularly adept at these tasks.

The researchers concluded that while ChatGPT may alter the employment landscape for entry-level analysts in investment banks, it is more suitable as a supportive tool rather than a replacement for seasoned financial professionals. The evolving role of AI could potentially lead to a reduction in junior analyst positions, not because ChatGPT outperforms them but because it can handle the more routine tasks that have traditionally been assigned to them. This shift, as Fairhurst notes, could make the traditional practice of hiring a large number of junior analysts and retaining only the best a more costly approach.

More information: Douglas (DJ) Fairhurst et al, How Much Does ChatGPT Know about Finance? Financial Analysts Journal. DOI: 10.1080/0015198X.2024.2411941

Journal information: Financial Analysts Journal Provided by Washington State University

Electronic Tags Can Assist Supermarkets in Reducing Food Waste

In 2022, US grocers discarded an alarming 5 million tons of food, with 35% of this waste ending in landfills. This statistic comes from ReFed, a non-profit organisation tackling food waste. A significant portion of this discarded food, totalling 2.7 million tons, was due to products surpassing their expiration dates on labels. However, emerging technological solutions propose a promising avenue for mitigating this issue. According to recent studies undertaken at Texas McCombs, transitioning from traditional paper shelf labels to modern digital ones could substantially diminish the amount of food waste generated by supermarkets.

The introduction of digital shelf labels offers many benefits beyond reducing food waste. These labels facilitate the implementation of dynamic pricing strategies, where prices are adjusted in real time to reflect the age of the stock. This approach appeals to budget-conscious consumers and enhances overall efficiency and sustainability. Ioannis Stamatopoulos, an associate professor specialising in information, risk, and operations management at Texas McCombs, emphasises the collective advantages of dynamic pricing. He argues that it significantly reduces food waste and the emissions associated with decomposing food in landfills.

The practicality of changing prices via digital systems cannot be overstated. Grocers can update prices swiftly and effortlessly—a few keystrokes on a tablet are all required. This contrasts sharply with the laborious printing and manually attaching paper labels to shelves. Stamatopoulos advocates for more frequent price updates, which have proven economically viable and beneficial in managing perishable stock more effectively.

The efficacy of this technological shift has been substantiated through research conducted on two European grocery chains, although their identities remain confidential. The study, a collaboration involving Stamatopoulos, Naveed Chehrazi from Washington University in St. Louis, and Robert Sanders from the University of California, San Diego, revealed significant increases in the frequency of price adjustments following the adoption of digital labels. For instance, a UK-based chain introduced digital labels for 940 perishable products, which allowed for price adjustments that were 54% more frequent than before. This change was primarily facilitated by the labels’ ability to display base prices and apply discounts as products neared expiration.

One of the chains incorporated a second technological enhancement—expanded barcodes—in addition to digital labels. Unlike traditional barcodes, these can store comprehensive inventory details such as packaging dates, lot numbers, and expiration dates. This feature lets stores strategically reduce prices as items approach their sell-by dates, encouraging timely purchases and reducing waste. Following the installation of these technologies, the frequency of price changes in the EU supermarket chain surged by an astonishing 853%.

Stamatopoulos highlights the dual benefits of such technologies, not just for consumers who prioritise price but also for the stores themselves. By enabling stores to offer discounts on products nearing expiration, they can justify larger inventory orders and exploit economies of scale, ultimately benefiting their bottom line.

Despite the promising outlook of dynamic pricing, there are notable challenges to its widespread adoption. Consumer distrust remains a significant hurdle; many fear that retailers might exploit high demand periods to inflate prices, similar to pricing strategies employed by ride-hailing services like Uber. However, this concern is mitigated in grocery retail, where predicting peak demand for specific products is complex and dynamic pricing could instead focus on reducing prices during low-demand periods to stimulate sales.

Another significant barrier is the cost of implementing digital labels and training staff to manage new systems. Despite these initial expenses, the long-term benefits—such as reduced waste and enhanced profitability—make a compelling investment case. Europe currently leads in adopting these technologies, but momentum is building in the US, with major retailers like Walmart and Amazon Fresh initiating transitions to digital pricing systems.

Stamatopoulos advocates for government incentives akin to those offered for solar panels and electric vehicles to accelerate the adoption of these technologies. Such measures could catalyse a shift towards more sustainable and efficient retail practices, marking a new era in grocery management where technological innovations drive economic and environmental benefits.

More information: Naveed Chehrazi et al, Inventory Information Frictions Explain Price Rigidity in Perishable Groceries, Marketing Science. DOI: 10.1287/mksc.2023.0473

Journal information: Marketing Science Provided by University of Texas at Austin

Scanning the Heavens: UFOs and Their Impact on Economic Focus

A recent study has introduced a groundbreaking approach to measuring public attention by analyzing Unidentified Aerial Phenomena (UAP) reports, uncovering a surprising correlation between these sightings and economic conditions at various levels across the United States. This novel methodology demonstrates that UAP sightings when analyzed alongside traditional metrics of attention, offer a unique vantage point for examining shifts in public focus that correlate with economic cycles. The significance of these findings lies in their potential to revolutionize the way macroeconomic trends are studied and inform policy, especially in responding to regional economic variations and managing public interest during periods of economic instability.

The research, conducted by Dr Ohad Raveh from the Hebrew University and Dr Nathan Goldstein from Bar Ilan University and published in Humanities and Social Sciences Communications, introduces an innovative metric for capturing public attention through UAP reports. This study effectively bridges the gap between unconventional indicators and macroeconomic analysis by revealing unexpected links between UAP sightings and various economic conditions throughout the U.S. It challenges the traditional dismissal of UAP sightings as merely fringe occurrences, proposing that they are significant indicators of public interest instead.

By meticulously analyzing daily-level data from the National UFO Reporting Center (NUFORC), the researchers have demonstrated that UAP sightings are more frequent in economically affluent regions and display inverse patterns within these regions over time. These findings suggest that public attention to extraordinary phenomena like UAPs can reflect broader economic fluctuations, indicating public focus shifts aligning with the region’s overall economic climate.

The study highlights several key insights: UAP sightings correlate positively with economic conditions across different regions but exhibit inverse patterns within these areas over time. Furthermore, through a quasi-experimental design utilizing variations in COVID-19 lockdown restrictions, the study establishes a causal link between restricted mobility and an increase in UAP reports, thereby validating the use of UAP sightings as a reliable indicator of public attention.

These groundbreaking findings not only enhance the toolkit for macroeconomic analysis but also provide policymakers with crucial insights into managing public attention to mitigate the impacts of economic shocks. The research invites further exploration into unconventional forms of attention, like UAP sightings, and their interplay with economic behaviours. “We hope this work inspires future research to deepen our understanding of the connection between public attention and macroeconomic outcomes,” state the authors, emphasizing the potential for this innovative approach to inform academic research and practical policy formulation.

More information: Nathan Goldstein et al, Looking up the sky: unidentified aerial phenomena and macroeconomic attention, Humanities and Social Sciences Communications. DOI: 10.1057/s41599-024-04182-z

Journal information: Humanities and Social Sciences Communications Provided by The Hebrew University of Jerusalem

Phenomenon or Minor Progress?

Between 1960 and 1989, South Korea witnessed an exceptional economic expansion, widely recognised for its real GDP per capita increasing at an impressive annual average of 6.82 per cent. This phenomenal growth has frequently been credited to the nation’s industrial policy, which involves governmental support directed specifically at specific industrial sectors. In this instance, it is commonly believed that such policies were the driving force behind decades of robust economic growth.

However, the actual impact of industrial policy on overall GDP growth is under scrutiny. A pioneering study conducted by four academics, including two economists from MIT, proposes that the contribution of industrial policy to GDP growth is considerably modest. The study uses global trade data to evaluate shifts in industrial capacities across various countries. Findings suggest that, in the most favourable scenarios, the industrial policy could boost long-term GDP by merely 1.08 per cent and, at most, by 4.06 per cent when additional conducive factors are present. These figures starkly contrast with the annual growth rate of 6.82 per cent previously recorded, indicating a much lesser benefit than anticipated.

The significance of this study extends beyond the mere figures; it explores the underlying reasons for these outcomes. It highlights, for example, how local consumer demand can significantly limit the effectiveness of industrial policy. Changes in production output, influenced by government policies, might lead to a different shift in consumer demand for these goods, thus capping the potential growth that can be directed through such policies.

MIT economist Arnaud Costinot, a co-author of the study, remarked on the findings, stating that while the gains from industrial policy are present, they are not monumental. “In most cases, the gains are not going to be enormous,” Costinot explains. He further noted that these gains do not match the full extent of growth seen in South Korea, which is often cited as a quintessential example of successful industrial policy.

The research integrates empirical data with economic theory, particularly assessing conditions deemed ideal for industrial policy according to economic textbooks. Another co-author, Dave Donaldson, also from MIT, suggests that while industrial policy may have played a significant role in the success stories of countries like China, Japan, and even the USA, the textbook arguments only partially account for these successes. “The question is whether the textbook argument for industrial policy fully explains those successes, and our punchline would be, no, we don’t think it can,” Donaldson elaborates.

The study, “The Textbook Case for Industrial Policy: Theory Meets Data,” was published in the Journal of Political Economy. In addition to Costinot and Donaldson, the authors include Dominick Bartlelme, an independent researcher, and Andres Rodriguez-Clare, a professor of Economics at the University of California, Berkeley.

The researchers used global trade statistics to glean insights into changes in sector-specific capacities within countries and other economic metrics to evaluate the broad impacts of industrial policies. If specific industries expand and become more productive, this should be reflected in increased export volumes, thereby indicating productivity gains. This method of reverse engineering offers a unique empirical approach to understanding the scale effects of industrial policies.

The study examined data across 61 countries, encompassing various timeframes over recent decades and including exports from 15 manufacturing sectors. The calculated average long-term GDP gain from industrial policy stood at 1.08 per cent, with individual countries experiencing benefits ranging from 0.59 to 2.06 per cent annually under favourable conditions. Small, trade-open countries might see more considerable proportional benefits.

Additionally, the research points out that while there is potential for redirecting economic activity through industrial policy, the scope for such redirection is limited by relatively fixed demand levels. This implies that even if a sector could expand significantly due to government support, actual growth would eventually stagnate as the market becomes saturated.

In discussing the broader implications of industrial policy, Costinot and Donaldson also touch upon various factors that governments might consider when adopting such policies, including wage distribution, environmental concerns, and geopolitical strategies. In places like the USA, industrial policy has been considered a means to rejuvenate deindustrialised areas and re-skill workers.

Ultimately, the study does not conclude definitively on the efficacy of industrial policy but instead deepens the understanding of its dynamics and potential limitations. While broad gains from such policies may be limited, targeted interventions in specific sectors and regions could yield substantial benefits when conditions are favourable. Policymakers are encouraged to realistically assess the potential growth outcomes of industrial policy, recognising that while significant gains are possible, they may only sometimes align with the theoretical maximums posited in economic textbooks.

More information: Dominick Bartelme et al, The Textbook Case for Industrial Policy: Theory Meets Data, Journal of Political Economy. DOI: 10.1086/734129

Journal information: Journal of Political Economy Provided by Massachusetts Institute of Technology

Global Warming and Creative Routes to a Greener Tomorrow

As the international climate crisis escalates, there is a pressing need for innovative and scalable interventions. A notable contribution to this discussion appears in a recent publication in Frontiers in Energy, authored by Nobel laureate Dr Steven Chu of Stanford University and Qi Wang from the US-China Green Energy Council. The paper elaborates on crucial technological breakthroughs and advocates for a significant shift in societal perspectives on progress and the definition of “wealth”, providing a strategic framework for mitigating greenhouse gas (GHG) emissions and promoting sustainable growth.

The authors highlight increasing evidence of anthropogenic climate change, drawing attention to the relentless rise in GHG emissions and their extensive repercussions on ecosystems and human societies. Dr Chu starkly characterises the situation with emissions hitting an alarming 52 gigatons of CO2 equivalent by 2023: “We’re not just facing a challenge; we’re in a war against climate change. Immediate, transformative action is necessary to secure a livable planet.”

The discourse identifies key sectors that are significant sources of emissions, such as power generation, transportation, construction, and manufacturing, emphasising the necessity for profound innovation and systemic reforms. Dr Chu contends, “Achieving net-zero emissions means rethinking nearly every aspect of modern society.”

One significant contributor to global emissions is agriculture, primarily through the nitrous oxide emissions from fertilisers. The authors advocate for a “fourth agricultural revolution,” which would harness synthetic biology to create microbes that reduce reliance on fertilisers and improve soil health.

Furthermore, the paper discusses the role of crops as potential carbon sinks. Non-edible plant residues could be processed and stored to capture atmospheric CO2. Another significant area explored is integrating artificial intelligence (AI) in enhancing clean energy systems. AI could optimise energy consumption, forecast demand, and facilitate the development of new materials. Nonetheless, the authors caution about the high energy demand of AI systems, stressing the importance of increasing their efficiency and ensuring renewable energy sources power them.

Beyond technological advancements, Dr Chu and Wang argue for a cultural and value shift from a disposable mindset to one focused on reusability and sustainability. They challenge conventional economic indicators like GDP, proposing a redefinition of “wealth” that values well-being and communal health over mere consumption. Dr. Chu notes, “True prosperity isn’t measured by how much we consume, but by the quality of our lives and the health of our communities.”

In concluding their argument, the authors plead for a collective approach to embracing innovation and fostering collaboration across all sectors of society. The range of solutions mirrors the diversity of challenges from renewable energy implementations to sustainable agricultural practices. However, the effectiveness of these solutions hinges on global collaboration and a unified commitment to transformative change, underscoring the urgency and scale of the climate crisis.

More information: Steven Chu et al, Climate change and innovative paths to a more sustainable future, Frontiers in Energy. DOI: 10.1007/s11708-024-0965-1

Journal information: Frontiers in Energy Provided by Shanghai Jiao Tong University Journal Center

Groundbreaking Research Reveals the Profound Influence of Accelerator Programmes on Global Startups

A seminal study by Valentina A. Assenova and Raphael Amit from The Wharton School at the University of Pennsylvania unveils significant findings on the positive impact of startup accelerator programmes. Published in the Strategic Management Journal, the research delves into an extensive dataset encompassing more than 8,500 startups from 176 nations. It provides pivotal insights into the influence of accelerator programme construction on startups’ triumphs, marking a critical exploration into these entrepreneurial nurturers.

Startup accelerators are increasingly central in cultivating entrepreneurial ecosystems worldwide. They supply vital resources such as seed funding, mentorship, and structured educational content. The study’s findings indicate that startups engaging with accelerator programmes are more likely to secure venture capital, enhance their revenue streams, and grow their teams than those not participating in these programmes. The research highlights that, on average, involvement in an accelerator leads to an uptick in revenue and the ability to raise capital, as well as an improved capacity to attract leading talent by offering competitive salaries.

Valentina A. Assenova, the study’s principal investigator, emphasised the crucial role of tailored programme design in realising the full potential of accelerator benefits. “Our findings underscore the importance of programme design in maximising the benefits of accelerator participation,” Assenova remarked. She suggested that by customising their services to meet the specific requirements of startups—be it industry-specific needs, stages of development, or the experience levels of founders—accelerators can significantly enhance the success rates of these enterprises.

This research illuminates the substantial advantages for entrepreneurs who engage with accelerators and serves as a valuable resource for policymakers and investors. It advocates for endorsing programmes that furnish customised, high-impact resources, especially in emerging markets where entrepreneurial frameworks are less established and still evolving.

The study utilised Global Accelerator Learning Initiative data, examining applications from 23,364 aspiring participants over six years (2013–2019). Employing stringent methodologies, including comparative analyses of startups that have gone through acceleration versus those that have not, the researchers identified the key elements contributing to the success following programme completion. This comprehensive approach ensures robust validation of the positive outcomes associated with accelerator involvement, confirming these programmes’ critical role in the global startup ecosystem.

More information: Valentina A. Assenova et al, Poised for growth: Exploring the relationship between accelerator program design and startup performance, Strategic Management Journal. DOI: 10.1002/smj.3581

Journal information: Strategic Management Journal Provided by Strategic Management Society

Navigating the Enrichment Economy: Strategies for Luxury Brands

A team of researchers from ESSEC Business School and the University of Bath have collaborated on a recent study recently published in the Journal of Marketing, which delves into the dynamics of the “enrichment economy.” This concept revolves around consumers purchasing goods not just for their immediate use or enjoyment but to augment their capital. The detailed investigation is set to appear under the title “The Enrichment Economy: Market Dynamics, Brand Strategy, and Ethics,” authored by Delphine Dion, Roman Pavlyuchenko, and Sonja Prokopec.

In their exploration, the authors reveal how specific markets, especially those dealing in luxury items, provide extraordinary opportunities for substantial financial gains. A compelling example is the “Carhartt x Eminem x Air Jordan 4 Retro” sneakers, which were initially given to loyal fans in 2015. Remarkably, these sneakers saw their value escalate to $10,000 per pair within three years and were trading at over $30,000 each by 2024. In a similar vein, approximately 150 “Tiffany Blue” Patek Philippe watches were initially sold to dedicated clients at $50,000 each. Still, their value skyrocketed shortly thereafter, with the first watch being resold for an astonishing $6.5 million. Since then, the price of this watch model hasn’t fallen below $3 million.

This surge in value over time is a characteristic feature of the enrichment economy. It is built on the premise that certain goods retain and increase value, desirability, and status beyond their initial purchase. Classic examples of such goods include artworks, antiques, and specific luxury items like watches and handbags. According to the study, these goods preserve and enhance personal capital, making them highly sought after.

Delphine Dion explains that the enrichment economy operates under a unique logic different from conventional markets. It is characterised by what the researchers call “enrichment privilege”—a form of preferential access to goods that are likely to appreciate, allowing their owners to resell them at a profit later on. The mechanisms through which this privilege operates are multifaceted, involving curation, association, security, and monetisation of access to these goods.

One crucial aspect discussed is how brands curate access to these valuable goods, selecting a small, carefully vetted group of consumers who are often incentivised to wait to resell their acquisitions. This practice helps maintain the scarcity and, thus, the resale value of these items. Moreover, platforms in the secondary market play a critical role in demonstrating the asset worth of these goods, enhancing their liquidity and transparency, which in turn supports significant financial returns for those who hold them.

Additionally, consumers secure access to these enrichment goods by forging strategic relationships with brands, often through personal connections with managers and sales personnel and by demonstrating loyalty through substantial purchases. Those fortunate enough to secure such privileges can reap extensive personal benefits, ranging from membership in exclusive circles of wealthy enthusiasts to significant financial returns through the resale of these goods.

However, the study also highlights the challenges that brands face in managing these opportunities without undermining their revenues or the desirability of their products. The authors advocate for egalitarianism, transparency, and democratisation in implementing enrichment strategies to combat these challenges. They argue for clear and binding allocation and waitlisting procedures to prevent discrimination and bias, thus ensuring a fair and transparent process for all potential buyers.

Moreover, the study warns of the potential ethical pitfalls in such markets. For instance, Rolex faced a substantial fine for preventing its authorised dealers from freely trading specific watch models, which the French Competition Authority ruled as anti-competitive. This example underscores the broader dangers of unethical practices within the enrichment economy.

In conclusion, while the enrichment economy offers significant opportunities for both consumers and brands, it also presents a complex array of strategic, ethical, and management challenges that must be addressed. The researchers call for a balanced view that considers both the potential benefits and the darker implications of market practices in this unique economic space, urging practitioners and academics to consider these factors in future applications and studies. This comprehensive analysis deepens our understanding of a specific economic phenomenon and sheds light on broader market dynamics and consumer behaviour in the luxury goods sector.

More information: Delphine Dion et al, The Enrichment Economy: Market Dynamics, Brand Strategy, and Ethics, Journal of Marketing. DOI: 10.1177/00222429241275014

Journal information: Journal of Marketing Provided by American Marketing Association

Global Corporations Are Falling Short of the World’s Sustainability Objectives

According to a recent study from the University of Surrey, Multinational Enterprises (MNEs) are not merely falling short of achieving global sustainability targets. Still, they also actively contribute to the problems they purport to solve. The study stresses the urgent need for MNEs to overhaul their innovation strategies to align with the United Nations Sustainable Development Goals (SDGs).

The researchers discovered that many MNEs prioritize profits over sustainable practices. By examining case studies across various countries, including developed and emerging economies, the study points out that MNEs often need to adopt more compliance measures instead of engaging in substantial, sustainable innovations. Despite investments in environmentally friendly initiatives like renewable energy projects, these efforts are frequently employed as marketing tactics rather than sincere commitments to sustainability.

Extensive interviews with industry leaders, analysis of corporate sustainability reports, and scrutiny of innovation practices within various ecosystems revealed that many firms need to harness local stakeholder knowledge or tackle specific regional sustainability challenges to limit their potential impact.

Dr Shasha Zhao, Senior Lecturer in International Business and Innovation at the University of Surrey and the study’s lead author, remarked, “Our findings challenge the assumption that Multinational Enterprises are inherently beneficial for sustainable development. Many are merely ticking boxes rather than genuinely innovating in ways that address the urgent challenges facing local communities.”

The study also revealed many companies’ dissatisfaction with MNEs’ lack of genuine engagement. A local entrepreneur commented, “It feels like they come here to take rather than to give. We need meaningful partnerships that address our unique challenges.”

This discrepancy between MNEs’ declared commitments and their actual practices calls into question corporate accountability and the efficacy of existing sustainability frameworks. The research advocates for a more collaborative approach that includes local communities and stakeholders, which is essential for MNEs to develop innovations that genuinely contribute to addressing social and environmental issues.

Dr. Zhao added, “This is a wake-up call. To truly be part of the solution, MNEs must deeply engage with local contexts and transcend superficial commitments to sustainable innovation. Multinational Enterprises are uniquely positioned to drive positive change. By integrating sustainable practices and fostering innovation ecosystems, these companies can tackle pressing issues like climate change, political instability, and social inequality.”

More information: Shasha Zhao et al, The determinants of multinational enterprises’ sustainable innovations, International Business Review. DOI: 10.1016/j.ibusrev.2024.102318

Journal information: International Business Review Provided by University of Surrey

The Vast Wave: Tsunami Impacts on Worldwide Commerce

Port disruptions entail substantial costs—the Tohoku tsunami of 2011 damaged ports and vessels, amounting to around $12 billion. Still, the subsequent disruptions in port operations led to a staggering daily loss in seaborne trade valued at approximately $3.4 billion. Given that over 80% of the world’s trade is conducted via shipping, interruptions in the global port network can profoundly impact international commerce. Yet, in the planning and structural design of ports, the threat posed by tsunamis is often overlooked. This neglect is attributed to the rarity of tsunamis and the absence of effective methods for assessing the associated risks.

In light of these challenges, a team of researchers has developed a framework designed to assess the risk of tsunamis to seaports and the broader global port network. This framework predicts the economic losses that may result from disruptions at ports. It examines the broader effects on the worldwide network, including implications for shipping routes and ports that do not suffer direct damage.

The research was spearheaded by Constance Chua, a postdoctoral researcher at the International Research Institute of Disaster Science (IRIDeS) at Tohoku University, with the collaboration of Professor Fumihiko Imamura, Associate Professor Anawat Suppasri, and Professor Adam Switzer from Nanyang Technological University.

“Our analysis focused on a hypothetical tsunami in the South China Sea, triggered by seismic activity along the Manila Trench,” explained Chua. “We also took into account the impact of rising sea levels on tsunami conditions.”

The study extensively evaluated 104 scenarios with contributions from international experts across multiple disciplines. These experts included Dr Tanghua Li, a geophysicist at the Earth Observatory of Singapore who specialises in sea-level rise modelling for Asia; Research Professor Qiang Qiu, an authority on tectonic geodesy at the Chinese Academy of Sciences focusing on the Manila Trench; and Professor Linlin Li, an expert in tsunami modelling from Sun Yat-sen University. Their collective expertise allowed the team to incorporate the most current data and models on various hazard components, crafting scenarios that closely resemble potential real-world events.

The study’s findings revealed that a tsunami from the Manila Trench could affect up to 11 international seaports under sea-level conditions and as many as 15 by the year 2100. Some ports might be closed in the worst-hit areas for over 200 days. However, the duration of port closures did not necessarily correlate with the most significant economic losses. Ports handling larger volumes of cargo annually were more vulnerable to financial detriment. The ports in Hong Kong, Manila, and Kaohsiung suffered the most significant trade losses in all the scenarios considered.

Chua further noted that a tsunami from the Manila Trench could have a more severe impact on global trade than the devastating events of the 2004 Indian Ocean tsunami and the costly 2011 Tohoku tsunami. “As South China is home to some of the busiest ports and sea lanes in the world, the number of shipping routes affected would surpass those in previous tsunami events significantly,” she said. “Given the historical neglect of tsunami impacts in safety planning, our findings are crucial for helping stakeholders better prepare for future disasters.”

More information: Constance Ting Chua et al, An approach to assessing tsunami risk to the global port network under rising sea levels, npj Natural Hazards. DOI: 10.1038/s44304-024-00039-2

Journal information: npj Natural Hazards Provided by Tohoku University