The contemporary business landscape has been profoundly reshaped by a confluence of factors including the global pandemic, escalating trade disputes, customs complexities, and the pervasive influence of AI-driven digitalization. This milieu has compelled firms to perpetually recalibrate their sales approaches to maintain market relevance. Data emerging from a Duke University survey, spanning 2020 to 2023, reveals a marked shift with 61 percent of companies introducing new sales channels. However, contrasting insights from Quantive’s 2024 survey expose a paradox: nearly 90 percent of firms grapple with executing agility effectively within their sales systems. This disconnect underscores a fundamental reality—agility, if not strategically managed, can precipitate significant organizational costs.

The critical insight from Bamberger and colleagues centers on the interplay between sales system agility and its operational cost structure, particularly the friction arising from external sales partners. These collaborators often operate with divergent objectives that can foster mistrust, resistance, and competitive actions detrimental to the primary company. Such dynamics can stall market intelligence flow and complicate rapid adaptations. The research underscores that agility’s value is contingent upon minimizing these transactional and relational costs, calling attention to the architecture of channel management as the determinant factor.

Adopting a robust empirical framework, the researchers developed a seven-point agility scale measuring a firm’s capability to swiftly detect market shifts, make timely decisions in response, and continuously optimize sales structures. Unlike the assumptions of a straightforward positive correlation, the data elucidates that agility alone does not guarantee enhanced operating profit before interest and taxes. The strength of the correlation emerges only when agility aligns with a thoughtfully designed channel structure and proactive management discipline.

The financial implications unearthed are substantial. An increment of one point on the agility scale, in companies averaging approximately 460 million euros in annual turnover, is linked with an operating profit increase up to 52 million euros. Intriguingly, this uplift bifurcates into approximately 37 million euros derived from an optimized channel structure, and an additional 15 million euros stemming from effective sales system management. This bifurcation emphasizes that both structural design and managerial oversight are indispensable to harnessing the full monetary benefits of agility.

Delving into the characteristics that define a conducive channel structure, the study reveals the efficacy of direct channels—those company-owned and controlled—in mitigating transaction costs and enabling unfiltered feedback from markets. Such direct channels are especially vital for stages that generate customer interest prior to purchase or deliver after-sales support, as they afford the company unhindered agility. Conversely, for pure sales transactions, indirect channels involving partnerships can be advantageous. Here, aligned partner incentives through commissions are pivotal, ensuring partner cooperation and minimizing redundant value in company-owned channels.

A noteworthy caution emerges against channel overlap. When multiple channels target the same customer base, they spawn internal competition among partners, amplifying friction and complicating swift adjustments to sales strategies. This insight foregrounds the necessity for companies to maintain a delineated channel architecture where customer segmentation corresponds to discrete distribution pathways, thus reducing conflict and fostering synchronized agility.

On the managerial front, the research identifies centralized decision-making and ongoing orchestration as twin pillars of effective channel management in agile sales systems. Companies that retain control over key elements—product offerings, pricing strategies, territorial assignments—establish preemptive rules that streamline operations and forestall ambiguities. Moreover, active coordination of partners during system operation mitigates misalignment and enables dynamic adjustments in real time. This centralized yet continuous engagement model emerges as a critical mechanism for reducing the hidden costs of agility.

Professor Arnd Vomberg of HEC Paris highlights the practical takeaway for corporate leaders: a meticulous reassessment of the sales channel mix, responsibility allocation, and avoidance of overlap is necessary before attempting to accelerate sales system agility. This strategic introspection ensures that agility initiatives do not inadvertently heighten complexity or conflict, thereby safeguarding profit margins.

This investigation significantly advances the understanding of organizational agility by blending quantitative financial analysis with qualitative insights from senior sales managers predominantly in B2B sectors. The survey-based methodology, grounded in real-world corporate experiences and corroborated by objective financial metrics, robustly anchors the study’s conclusions and broadens its applicability across diverse industries.

As markets continue to evolve at a breakneck pace, firms cannot afford to treat agility as a simplistic operational adjustment but must embrace it as a complex capability embedded within an orchestrated framework of channel design and decisive management. The findings illuminate that agility, when harmonized with strategic channel configuration and managerial rigor, can unlock remarkable financial gains and strengthen competitive positioning in a turbulent commercial environment.

In essence, this research challenges businesses to transcend conventional wisdom, asserting that agility in sales is not a panacea but a strategic endeavor requiring deliberate alignment of structural and managerial elements. The potential payoff is transformative—a leap in operating performance quantified in tens of millions of euros, contingent on the precision of execution and contextual fit.

In conclusion, companies aiming to thrive amidst uncertainty must prioritize a holistic sales system approach where agility is infused with clarity, control, and coordination. The future belongs to those who wield agility as an engineered organizational capability rather than a reactive scramble, ensuring that every nimble move translates into measurable performance enhancements.

Subject of Research: People

Article Title: When does sales system agility lead to organizational performance?

News Publication Date: 21-May-2026

Web References:
http://dx.doi.org/10.1016/j.ijresmar.2026.05.002

Keywords: Sales system agility, organizational performance, channel structure, distribution management, operating profit, B2B sales, centralized control, partner orchestration, market adaptation, transaction costs, sales channels, agile management

The research impetus was sparked by the widespread use of single-use coffee pods, a notoriously challenging form of waste due to their composition and disposal issues. Across a series of meticulously designed experiments, researchers identified that a straightforward “we received your item” notification was enough to encourage less frequent users of recycling schemes to become more consistent participants. This finding counters the common assumption that complex incentives or education campaigns are necessary to drive change, instead highlighting the subtle but crucial role of relational acknowledgment between companies and consumers.

A particularly striking illustration of this finding emerged from a field study conducted within Penn State’s dining halls. Partnering with Topanga, a foodservice technology company, the research team implemented a reusable takeout container program monitored by QR codes. When customers returned containers and received an acknowledgment email, their rate of repeat participation tripled. This dramatic increase underscores the tangible impact of simple communication on reinforcing environmentally responsible habits.

The significance of this approach lies not only in its efficacy but in its scalability and cost-effectiveness. Unlike resource-heavy promotional campaigns or complex rewards programs, acknowledgment emails represent a low-cost, easily automated intervention. They serve to deepen consumers’ emotional connection to the brand by signaling appreciation and recognition, thus fostering a stronger sense of partnership focused on shared sustainability goals.

At the core of this behavioral impact is the way acknowledgment messages cultivate emotional attachment. Through a series of controlled online experiments, researchers demonstrated that participants receiving acknowledgment felt more connected to the company and believed the brand to be more genuinely sustainable. This perceived authenticity is critical, as it combats consumer skepticism, which is often exacerbated by concerns over greenwashing—a deceptive marketing practice that falsely presents products or companies as environmentally friendly.

Greenwashing, the study found, significantly undermines repeat engagement by eroding trust. In contrast, acknowledgment of actual participation in sustainability programs helps build genuine credibility. The research specifically highlights how acknowledgment messaging is particularly powerful among consumers with initially low levels of brand connection. These individuals represent a key demographic for companies seeking to expand their base of committed sustainable consumers.

Further experimental comparisons revealed that acknowledgment specifically tied to participation in take-back programs has a unique impact compared to acknowledgments for other customer actions, such as completing online reviews. The former strengthens relational bonds and drives future participation intentions, emphasizing the value of targeted communication over generic expressions of gratitude.

The field studies combined with lab experiments indicate that acknowledgment messages serve a dual function: they are both a reinforcement mechanism and a trust builder. This duality creates a positive feedback loop, as increased participation strengthens sustainability outcomes while simultaneously enhancing the company’s environmental reputation. Over time, this feedback loop can generate compounding benefits, making sustainability programs more resilient and effective.

In the practical example of Penn State’s dining services, acknowledgment emails not only thanked customers for returning containers but also highlighted the environmental benefits, such as the number of disposable containers diverted from landfills. This informational reinforcement augments the psychological effect of acknowledgment by attaching meaningful impact to the customer’s actions, further incentivizing continued participation.

As these insights gain traction, implementation is expanding beyond Penn State. Topanga has integrated acknowledgment messaging into its systems at other educational institutions, demonstrating the adaptability and broad appeal of this intervention. This widespread adoption could signal a paradigm shift in how sustainability programs engage consumers, favoring relationship-building over transactional incentives.

Ultimately, the research underscores a fundamental principle in sustainable behavior change: recognition matters. When customers feel truly seen and appreciated for their efforts, they are more likely to sustain those efforts, converting isolated acts of environmental responsibility into consistent lifestyle choices. This study provides a practical blueprint for companies seeking to build lasting consumer commitment to circular economy practices.

In a world increasingly attuned to environmental challenges, these findings offer a beacon of hope: sometimes, the simplest responses—like a prompt “thank you” message—can spark significant progress toward sustainability. As corporations and communities strive to close the loop on waste, leveraging the human desire for acknowledgment may prove to be one of the most powerful tools in the arsenal for achieving lasting environmental stewardship.

Subject of Research:
Article Title: Received! How Acknowledgment Increases a Company’s Sustainability Image and Drives Repeat Customer Participation in Take-Back Programs
News Publication Date: 26-Mar-2026
Web References: http://dx.doi.org/10.1093/jcr/ucag007
Image Credits: Amy Bressler / Penn State
Keywords: sustainability, consumer behavior, recycling programs, reuse initiatives, take-back programs, corporate communication, emotional attachment, greenwashing, brand connection, customer engagement, circular economy

The project originated within the Rutgers Cancer Institute’s blood cancer clinic, where patients routinely faced waits stretching up to three hours between initial check-in and starting their infusion treatments. Recognizing the emotional and physical toll this imposed on patients undergoing strenuous cancer regimens, the research team sought a data-driven method to identify and alleviate such bottlenecks. By fusing operational research principles with detailed patient movement logs and time-stamped electronic health records, they constructed a digital twin of the clinic. This three-dimensional, animated simulation accurately recreated the clinic environment and patient journey, enabling exhaustive experimentation in a risk-free virtual arena.

What distinguished this digital twin model from traditional process analyses was its statistical validation against months of real patient data that the simulation itself had never encountered before. This rigorous validation established a high degree of confidence that simulated interventions could reliably forecast real-world impacts. Through this, the research dispensed with initial assumptions—such as adding more nursing staff—to pinpoint fundamental constraints in clinic throughput. For example, it became clear that increasing the number of nurses only marginally reduced visit times, shaving under a minute off average patient stay.

Instead, the study illuminated that the primary choke points were external to staff availability. Delays originated mainly from the lab processing of blood samples—a critical prerequisite to initiating infusions—which was conducted off-site and took approximately ninety minutes. Additionally, the clinic’s unified queue system led to inefficient patient sequencing, such as shorter-duration blood checks being delayed behind patients receiving eight-hour infusions. The simulation underscored that addressing these inefficiencies could lead to dramatic reductions in patient visit times—on the order of 75 to 90 minutes—even amid a 20% increase in patient volume.

In response to these insights, the clinic implemented significant operational changes. Lab processes were relocated on-site, accelerating blood work turnaround from roughly an hour and a half to under thirty minutes. Furthermore, they instituted a “fast track” separate from traditional cancer treatments, designed to streamline supportive care procedures such as transfusions and quick blood tests. Notably, this fast track feature had been available but underutilized in existing scheduling software prior to the study. The resultant workflow enhancements nearly doubled daily infusion patient throughput, scaling from around 50 to approximately 80 without compromising quality or safety.

The success story at Rutgers underscores the transformative power of computational modeling in healthcare settings, particularly those characterized by complex, multi-step patient pathways constrained by limited resources. The research highlights that while conventional wisdom might prompt institutions to augment human resources, a more fruitful approach lies in reengineering systemic bottlenecks through data-driven simulation. Each clinic’s unique layout, staffing, and patient population means that solutions must be tailored rather than transplanted wholesale, but the framework of virtual, simulation-based optimization offers a replicable blueprint.

Andrew Evens, deputy director for clinical services at Rutgers Cancer Institute and senior author of the study, emphasized the emotional and physical complexities cancer patients endure and the corresponding imperative to make their clinical experiences as efficient and compassionate as possible. Evens’ dual expertise—as a physician and holder of an executive MBA—fueled the partnership with Rutgers Business School. This interdisciplinary collaboration integrated clinical knowledge with advanced supply chain management techniques, leading to the project’s success.

Graduate students played a pivotal role, embedded in the clinic to meticulously observe and document patient movements and timing at each stage. These granular data points were combined with electronic health records in probabilistic models to generate detailed patient flow distributions. By analyzing patterns at every juncture—arrival, check-in, lab work, infusion, and check-out—the team constructed a highly granular and dynamic simulation reflective of real operations rather than theoretical approximations.

The validated digital twin empowered planners to test various hypothetical adjustments—such as rescheduling appointments, reallocating staff, or rerouting patient flows—without disrupting actual clinical operations. For instance, simulations revealed that equalizing appointment loads throughout the day rather than frontloading or clustering them reduced peak congestion, thereby smoothing patient experiences. These virtual trial runs eliminated guesswork and enabled strategic, evidence-based decision-making in optimizing clinic function.

With the transition of Rutgers Cancer Institute into the new Jack & Sheryl Morris Cancer Center—a state-of-the-art facility with distinct floors dedicated to blood draws, doctor visits, and infusion treatments—the previously solved workflow puzzles have evolved, presenting fresh operational challenges. Evens anticipates reengaging the business school team to create updated simulation models for this redesigned environment to maintain and improve efficiency gains.

The broader implications of this research resonate across the healthcare landscape, where patient throughput, wait times, and resource allocation remain persistent challenges. By harnessing computational simulations as virtual laboratories for operational experimentation, medical centers can make transformative improvements that enhance patient experience, increase treatment capacity, and potentially reduce costs. While the Rutgers model is site-specific, the underlying principle—that complex healthcare processes can be optimized through data-intensive, simulation-driven analysis—has universal application.

As healthcare systems worldwide grapple with increasing patient volumes and strained resources, this research charts a promising path. Digitally replicating clinical environments and iteratively testing process optimizations prior to implementation offers a proactive, precise, and patient-centric strategy. Rutgers’ success demonstrates that technological innovation combined with interdisciplinary collaboration can unravel even the most entrenched systemic inefficiencies in medical care delivery.

Subject of Research: Not available

Article Title: Enhancing efficiency and workflow in oncology outpatient services through simulation-based optimization

News Publication Date: 26-May-2026

Web References:
– https://link.springer.com/article/10.1007/s10479-026-07181-2
– http://dx.doi.org/10.1007/s10479-026-07181-2
– https://cinj.org/
– https://www.business.rutgers.edu/
– https://www.rwjbh.org/treatment-care/cancer/our-cancer-centers/jack-sheryl-morris-cancer-center/

References: Annals of Operations Research (2026). “Enhancing efficiency and workflow in oncology outpatient services through simulation-based optimization,” DOI: 10.1007/s10479-026-07181-2.

Keywords: Oncology outpatient services, computational simulation, digital twin, workflow optimization, cancer treatment efficiency, blood cancer clinic, operational research, patient flow management, healthcare analytics, infusion therapy throughput, laboratory turnaround time, healthcare process improvement.

Historically, economic theory has depicted individuals as agents who optimize their choices to maximize expected utility, balancing potential returns against their personal risk tolerance. However, empirical evidence often contradicts this framework, revealing systematic deviations—especially when potential losses and psychological factors are involved. Posey and her colleagues sought to bridge this gap by examining two alternative explanatory models: one centered on the fear of losing money, and another focused on the emotional discomfort stemming from regret after making suboptimal choices. Importantly, their study investigated whether these models operate independently or synergistically.

The experiment involved 228 participants, each initially endowed with a fixed amount of money to engage in a series of gamble-based decision trials. Each round presented the subjects with two distinct gambles, differing in their payoff structures and potential for loss. Notably, the first gamble remained constant throughout, whereas the second option incrementally improved in terms of potential gain and diminished loss risk, offering a controlled scenario to observe shifts in preference. Intriguingly, most subjects favored the first gamble initially, despite the second option becoming objectively superior over time.

One pivotal finding revealed an overwhelming bias toward the avoidance of any risk of monetary loss, surpassing the mere pursuit of gains. When the second gamble still carried a chance of losing money, over 75% of participants displayed reluctance to switch away from the fixed first option, even when the expected return favored the latter. This “loss aversion” effect underscores a deeply ingrained psychological weight assigned to losses that outweighs equivalent monetary gains, raising fundamental questions about the adequacy of classical economic models in predicting real-world behaviors.

The study further dissected gender differences in these aversive tendencies, observing that women, on average, exhibited a markedly greater propensity to avoid gambles with potential losses compared to men. Specifically, female participants were approximately 15 percentage points more likely to shy away from risky options with possible negative outcomes, while men showed an eight-percentage-point increase. This gender disparity supports broader literature suggesting heightened sensitivity to potential losses among women and suggests targeted strategies may be necessary in financial advising and policymaking contexts.

Complementing the analysis of loss aversion, Posey’s team addressed how anticipation or experience of regret influences decision-making under risk. Two modified versions of the gamble experiment manipulated the availability of feedback: participants either learned the outcome of only their selected gamble or received information about both options. The transparency regarding what might have been—the counterfactual outcome—serves as a fertile ground for regret to emerge when realizing that an unchosen alternative yielded a better payoff.

This nuanced setup revealed that regret aversion independently shapes choice patterns, with women again showing a pronounced effect. Female participants were six percentage points more inclined to avoid gambles that could evoke regret, a behavior not significantly mirrored in their male counterparts. The psychological mechanism at play suggests that women more actively incorporate the emotional consequences of hypothetical outcomes when making financial decisions, further complicating the simplistic risk-return calculus traditionally assumed.

Interestingly, these two aversions—loss and regret—do not merely compete but coexist, collectively influencing financial choices. While the primary motivator for all participants was to evade loss, the overlay of regret aversiveness, especially in women, diverted choices in ways conventional economic models fail to capture. For example, an individual may forgo a gamble lucrative on average if it entails a risk of losing, compounded by the dread of later discovering that a different choice could have yielded even larger returns.

The implications of these findings ripple across multiple sectors, particularly financial services and regulatory bodies. Insurance companies, investment firms, and public agencies designing policies to encourage behaviors such as saving for retirement must recalibrate their approaches to factor in these emotional determinants. Model predictions that exclude loss and regret aversion risk misaligning products and policies with actual human behavior, potentially resulting in suboptimal engagement or unintended economic consequences.

Beyond financial contexts, Posey emphasizes the broader applicability of these psychological biases. Everyday decisions—from shopping and career choices to selecting romantic partners on dating platforms—may be similarly swayed by an aversion to downside outcomes and anticipated regret. This recognition prompts a reconsideration of how choice architectures are designed in digital and real-world environments to better accommodate human tendencies and improve satisfaction.

The study’s rigorous methodology, conducted within Penn State’s Laboratory for Economics, Management, and Auctions, combined behavioral economics with experimental rigor to elegantly tease out these competing psychological drivers. Alongside Posey, collaborators Anthony Kwasnica of Florida State University and Charles Geier from the University of Georgia contributed interdisciplinary expertise, reinforcing the robustness and scope of the inquiry.

In sum, this research provides a compelling synthesis highlighting that the interplay between avoiding financial loss and circumventing regret, especially differentiated across genders, fundamentally shapes decision-making under risk. These insights challenge the conventional wisdom of expected utility theory and pave the way for richer, more nuanced models of human behavior, with profound practical and theoretical ramifications.

Subject of Research: People
Article Title: The coexistence of loss aversion and regret aversion in decision making under risk
News Publication Date: 10-Apr-2026
Web References: http://dx.doi.org/10.1007/s11166-026-09476-y
Keywords: Economic decision making, Behavioral economics, Loss aversion, Regret aversion, Risk management, Gender differences, Financial decision-making, Expected utility theory

For decades, the advertising industry has wrestled with the challenge of delivering relevant messages to the right consumers while contending with growing privacy concerns. Regulatory frameworks such as Europe’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act, augmented by the California Privacy Rights Act, mandate stringent limits on data collection and user tracking. These regulations, combined with industry efforts to eliminate third-party cookies, signal a definitive crackdown on conventional targeted advertising dependent on cross-site surveillance. The necessity to innovate within these constraints has never been more pressing.

Vaibhav Diwanji, an assistant professor at KU specializing in journalism and mass communications, spearheaded a research initiative investigating whether AI could effectively foster contextual advertising—that is, placing ads based on the immediate content users are engaging with rather than extensive user profiling. His inquiry centers on a provocative question: Can digital ads maintain their efficacy if the pervasive surveillance layer is removed entirely? Traditionally, marketers have assumed that reducing user data collection would diminish ad relevance and effectiveness.

Diwanji’s extensive research challenges the entrenched notion that effective advertising must come at the price of consumer privacy. The core premise is that relevance arises not solely from user profiling but from a sophisticated understanding of the contextual environment in which users engage, powered by AI’s ability to interpret semantic and emotional cues embedded in web content. This paradigm shift leverages AI’s capacity to process textual and visual data within webpages, enabling ads to be presented in harmony with the content’s tone and subject matter without ever identifying or tracking individual users.

The findings are drawn from four meticulously designed experimental studies involving over a thousand participants interacting with websites featuring AI-driven, contextually targeted advertisements. Each study probed different facets of how ad format, placement, contextual congruence, and product involvement impact consumer engagement and perception. The experimental rigor adds credence to the argument that AI-centric contextual advertising can rival traditional data-hungry personalization techniques.

Initial experiments revealed that animated advertisements consistently commanded greater attention than static ones, fostering higher perceived value and increased brand affinity. This suggests that dynamic media can captivate audiences more effectively, lending advertising campaigns an enhanced capacity to differentiate brands and influence purchase considerations in the absence of user-specific data profiling.

Subsequent trials assessed the importance of ad placement within the content structure of a webpage. Ads embedded directly in article text were notably more effective than those positioned in peripheral zones. This integration facilitated seamless engagement, minimizing intrusiveness while maximizing visibility and cognitive resonance with readers, thereby elevating brand favorability and overall consumer receptivity.

A pivotal aspect of Diwanji’s research involved examining ad-content congruence—the alignment between advertisements and the thematic or emotional context of the surrounding webpage. The results demonstrated that congruent ads not only heightened user attention but also improved the fluency with which ad messages were processed. Users reported enhanced ad value and elevated contextual awareness, underscoring the importance of relevance derived strictly from content semantics rather than user history.

The final study explored the interaction between the nature of advertised products and the previously identified contextual factors. High-involvement products, such as automobiles and travel packages, elicited stronger consumer responses than low-involvement goods like candy or cleaning items. This implies that the effectiveness of contextual AI advertising can be further magnified when promoting products that naturally demand more cognitive and emotional investment from consumers.

Together, these findings mark a significant step forward in demonstrating that AI can transform advertising from a surveillance-dependent optimization tool into a central mechanism for relevance creation rooted in real-time contextual interpretation. This challenges the industry’s longstanding tradeoff between relevance and privacy, suggesting that advertisers can honor consumer data rights without compromising on marketing impact.

Diwanji emphasizes the practical implications of this shift, noting that AI’s ability to interpret the structural and affective dimensions of web content allows for personalized experiences without user identification. This distinction deconflates personalization from personal data, showcasing that ad relevance need not be contingent on invasive profiling but can emerge organically from the digital environment itself.

The research aligns with prior investigations into AI in marketing, including analyses of consumer attitudes toward AI-generated advertisements and chatbots. For instance, earlier studies found inconsistent labeling of AI-generated ads and nuanced preferences for AI versus human interaction depending on emotional contexts. These insights collectively advance understanding of the complex interplay between AI technology, consumer perception, and advertising ethics.

As large language models and AI become increasingly embedded across digital platforms, the importance of balancing innovation with privacy cannot be overstated. Diwanji’s work provides a roadmap for stakeholders—from policymakers to advertisers—to rethink foundational assumptions and adopt technologies that respect privacy while maintaining or even enhancing consumer engagement.

In the broader societal context, this research addresses fundamental concerns around the future of online privacy. By demonstrating that AI can deliver relevant ads through contextual understanding rather than behavioral surveillance, it offers hope for a digital ecosystem where privacy and personalization coexist harmoniously. This breakthrough paves the way for privacy-first advertising models to gain traction globally, reshaping consumer trust and industry standards alike.

Ultimately, this paradigm shift reimagines AI not as a supplementary data processor layering on top of existing targeting systems, but as the core engine recalibrating how digital advertising relevance is conceived and executed. It demonstrates that the next leap in advertising efficacy lies in harnessing AI-driven contextual intelligence, positioning privacy as a catalyst rather than an obstacle for innovation.

Subject of Research: People
Article Title: The AI Leap in Contextual Advertising: Delivering Ad Relevance in a Privacy-First Era
News Publication Date: 5-May-2026
Web References: http://dx.doi.org/10.1080/10496491.2026.2663430
References: Journal of Promotion Management
Keywords: Information technology, Information processing, Data analysis, Technology, Digital data, Telecommunications, Communications, Mass media, Advertising, Internet, Marketing, Marketing research

In a groundbreaking international study spanning nearly a decade and encompassing data from 59 countries, researchers from Heriot-Watt University’s Edinburgh Business School have unveiled the transformative impact of venture debt on technology startup ecosystems worldwide. This extensive analysis, published in the International Review of Economics and Finance, highlights how the strategic deployment of venture debt is altering traditional funding paradigms by decreasing early-stage equity reliance, bolstering late-stage investment, and ultimately expanding the total capital accessible to startups.

The research dismantles the conventional perception of venture debt as merely a secondary or supporting financing source. Instead, it positions venture debt as a pivotal financial instrument that startups can leverage to navigate critical growth phases more efficiently. Using a robust Panel Vector Autoregression (PVAR) model, the team meticulously analyzed dynamic interdependencies across equity and debt funding mechanisms from 2015 to 2024, adjusting for national variables such as economic maturity, political stability, and innovation intensity.

Dr. David Dekker, the study’s lead, eloquently illustrates venture debt’s role in startup development as akin to building a bridge over a ravine. Early-stage equity financing gets startups to the initial foothold, but it is venture debt that enables them to traverse the challenging intermediate stages—extending their runway without diluting ownership prematurely and allowing them to secure more advantageous equity conditions later. This mechanism addresses the notorious ‘valley of death’—a precarious funding gap where many startups falter before reaching scale.

Quantitatively, the findings are striking. Every unit increment of venture debt correlates with approximately a two-unit reduction in early-stage equity funding coupled with a four-unit surge in late-stage equity investment. This asymmetric influence signifies a net positive effect on the aggregate pool of startup funding, underscoring venture debt’s catalytic role in enhancing the efficiency and fluidity of startup financing ecosystems.

Professor Dimitris Christopoulos, co-author and former Director of Research at Edinburgh Business School, emphasized the synergetic impact of venture debt on scaling startups. The availability of venture debt appears to improve ecosystem health by facilitating sustained growth trajectories from early innovation to late-stage scale-up. Notably, venture debt provides an alternative financing tranche for startups that might otherwise avoid premature equity rounds due to dilution concerns or valuation risks.

However, the study uncovers nuanced regional heterogeneity in venture debt’s effects. While mature ecosystems benefit from venture debt’s scale-up financing capabilities, emerging markets with underdeveloped early-stage equity pipelines may experience unintended consequences. In these contexts, venture debt could crowd out vital seed and angel investments, inadvertently stalling nascent innovation activities and weakening the overall ecosystem vitality.

Within the UK context, these dynamics are particularly salient. The persistent gap in late-stage funding has driven an influx of international capital in UK startup growth rounds, raising strategic concerns about the country’s ability to nurture homegrown scale-ups and maintain global competitiveness. Recent government policies—including the expansion of investment caps under the Enterprise Investment Scheme and Venture Capital Trusts and a substantial increase in the British Business Bank’s financial capacity—seek to remedy these structural challenges.

The study advocates for a nuanced policy approach that balances robust early-stage equity protections with strategic leverage of venture debt for scale-up financing. It highlights the critical importance of diverse capital sources in fostering ecosystems that are resilient, adaptive, and conducive to sustained high-growth startup success. Financial instruments diversity not only enhances survival rates but also increases the pipeline of unicorns and high-value technology companies that drive economic growth and job creation.

Further, the research recommends tailored policy interventions such as matching grants, seed co-investment vehicles, and partial loan guarantees aimed at supporting emerging ecosystems. In more mature markets, mechanisms such as co-lending and targeted guarantee schemes for scale-ups could better align venture debt incentives with broader ecosystem health. Importantly, access to venture debt should be contingent on ensuring follow-on financing paths and maintaining the intensive hands-on support essential for early-stage startups to thrive.

Technically, the study’s methodological rigor stems from utilizing a Panel Vector Autoregression framework, capable of capturing the complex bidirectional relationships between venture debt and equity financing across diverse national landscapes. This approach accounts for time-lagged effects, feedback loops, and controls for country-level heterogeneities—offering robust empirical evidence that transcends single-country or anecdotal analyses.

The implications of this work are profound, challenging policymakers, investors, and entrepreneurs to rethink the conventional startup funding lifecycle. Venture debt emerges as not only a bridge across the precarious funding chasm but as a strategically critical financial innovation that reshapes investment timing, startup growth trajectories, and ultimately the global startup ecosystem architecture.

In summary, this research signals a paradigm shift in startup finance, where a more sophisticated, multi-layered approach to funding—including the judicious use of venture debt—is essential to unlocking the full potential of innovation economies worldwide. As innovation ecosystems evolve amidst increasing complexity and competition, integrating venture debt strategically offers a pathway to amplify capital efficiency, reduce premature equity dilution, and enhance startup success rates.

Subject of Research: Not applicable

Article Title: Effects of venture debt on early- and late-stage funding of tech startups in tech ecosystems

News Publication Date: 12-Apr-2026

Web References: https://doi.org/10.1016/j.iref.2026.105196

Keywords: Venture debt, startup finance, early-stage equity, late-stage equity, innovation ecosystems, scale-up funding, economic growth, startup capital dynamics

At the core of these findings lies the paradox that, even with an apparent shortage of specialist physicians in resource-heavy specialties, many candidates experience a dearth of full-time job opportunities. This issue is particularly pronounced in disciplines that lack the flexibility of private practice, such as critical care and complex surgical fields, where institutional support and resource allocation govern professional opportunities. The research underscores how traditional hiring practices, often steeped in informality and ambiguity, exacerbate difficulties for aspirants, creating an environment where securing a position depends heavily on one’s ability to navigate unseen institutional currents.

The methodology employed by the researchers involved qualitative interviews conducted between 2021 and 2022 with a diverse cohort, including trainees, recent graduates, program directors, and division chiefs across Canada. This approach enabled the team to dissect the nuanced realities of physician hiring from multiple vantage points, revealing five predominant themes that define the employment landscape. The process itself is repeatedly described as difficult to navigate and lacking in clear, standardized protocols—which impedes candidates’ ability to prepare adequately or understand selection criteria.

One of the most striking revelations pertains to the emphasis on a candidate’s “fit” in hiring decisions, a term that remains inherently vague and subjective. This subjective criterion, while often justified as ensuring team cohesion or alignment with institutional culture, raises profound concerns about fairness and inclusivity. The research critically highlights how this nebulous evaluation metric inadvertently perpetuates bias and undercuts efforts aimed at enhancing equity, diversity, and inclusion (EDI) within the medical workforce. In effect, the reliance on “fit” risks homogenizing the physician pool, limiting diversity of thought, background, and innovation potential—factors essential for advancing healthcare delivery.

The opaque nature of job postings further complicates the hiring terrain. Participants reported that many official vacancy announcements serve more as formalities rather than genuine invitations for open competition. In numerous cases, hiring bodies appear to have predetermined preferred candidates, undermining transparency and fostering frustration among applicants. This practice not only undermines procedural fairness but also restricts the talent pipeline, discouraging potentially exceptional applicants from diverse backgrounds.

Geographical and personal constraints compound the complexity of physician employment. The desire to remain close to family support networks, the necessity for spousal employment, and the scarcity of resources such as operating room time or institutional funding create additional, significant barriers. These factors interplay with institutional hiring preferences and resources, framing the physician’s career trajectory within a broader matrix of socio-economic and logistical considerations often overlooked in conventional employment discourse.

Mentorship emerges as a critical factor influencing employment success in this challenging environment. Actively engaged mentors who provide strategic guidance, advocacy, and networking opportunities can decisively tilt the balance for candidates competing in competitive markets. The research details how mentorship not only aids in demystifying the hiring process but also helps build professional capital that transcends technical competence—such as social capital and institutional familiarity—that are essential for employment in resource-intensive specialties.

The disparity in perspectives across stakeholder groups—trainees, recent graduates, hiring chiefs, and program directors—exposes underlying tensions and differing priorities in the hiring matrix. While candidates emphasize the need for transparency and formalized guidance, senior decision-makers often cite institutional needs and resource constraints as paramount, reflecting a systemic disjunction. Addressing these divergent views necessitates a comprehensive, multilevel reform agenda that harmonizes expectations and aligns objectives across all tiers of influence within the medical employment ecosystem.

To combat these entrenched challenges, the researchers advocate for a strategic, multi-pronged approach. A key recommendation is the early integration of formal career-planning curricula within residency programs to equip physicians with essential knowledge and skills for navigating the job market effectively. This initiative aims to empower trainees to develop clear career goals, cultivate networks proactively, and engage meaningfully with potential employers, thereby enhancing their competitive positioning.

Institutional changes are equally imperative. The establishment of transparent, best-practice hiring guidelines that dictate clear job postings, candid disclosure of candidate profiles sought, and equitable evaluation criteria can substantially mitigate current biases and opacity. Moreover, the creation of centralized job repositories, accessible to all prospective applicants, would democratize access to opportunities and streamline the hiring journey.

National and specialist medical associations also bear responsibility in this transformation. By facilitating job-hiring information sessions, developing standardized guidelines, and supporting mentorship programs, these organizations can reinforce institutional reforms and advocate for systemic equity. Such communal efforts are critical in redefining norms and embedding inclusive praxis within the Canadian healthcare employment structure.

Ultimately, these findings draw attention to a critical juncture in Canadian medical human resources. As the healthcare landscape evolves amidst rising demands for specialist services, the failure to address hiring inefficiencies and inequities risks impairing workforce sustainability and patient care quality. The study punctuates the need for heightened transparency, structured support mechanisms, and rigorous equity safeguards to ensure that the specialist physician workforce reflects the diversity, skill, and dedication required to meet contemporary healthcare challenges.

This groundbreaking research shines a spotlight on the intricate, often unseen challenges faced by specialist physicians attempting to secure positions in Canada’s resource-intensive specialties. It serves as a call to action for stakeholders at every level—individual, institutional, and national—to champion reforms that foster transparency, equity, and methodological coherence within the hiring process. By embracing these recommendations, Canadian medicine can hope to cultivate a more inclusive, efficient, and effective specialist workforce, ultimately enhancing healthcare delivery and outcomes for all Canadians.

Subject of Research: People
Article Title: The path to securing a resource-intensive physician job in Canada: lived experiences of decision-makers and trainees
News Publication Date: 22-Jun-2026
Web References: https://www.cmaj.ca/lookup/doi/10.1503/cmaj.251882
Keywords: Medical specialties, Human resources, Physician employment, Healthcare workforce, Equity and inclusion, Career planning, Hiring practices

The growing popularity of video reviews raises a compelling question: do these videos genuinely influence buying decisions, or is their impact merely superficial? Researchers at The University of Texas at Austin’s McCombs School of Business, led by clinical assistant professor Muhammad Jawad, sought to investigate this phenomenon with a systematic and rigorous approach. Their groundbreaking study focuses not just on whether video reviews sway consumer choices but also probes the critical importance of timing in the presentation of video content within the decision-making process.

The crux of Jawad’s findings suggests that the effectiveness of video reviews is context-dependent. The researchers discovered that identical video content can either convince consumers to finalize a purchase or fail entirely to impact their decision, contingent entirely upon the stage of the buying journey when the reviews are consumed. This insight reveals a nuanced interplay between the format of product information—text versus video—and the temporal phase during which shoppers engage with such content.

Jawad’s personal experience as a shopper lit the spark for this inquiry. He acknowledges that when interested in a product, he typically scans online marketplaces to identify options, then consults video reviews, often on YouTube, to garner experiential knowledge about the product’s feel, usability, and performance—details that purely textual reviews lack due to their limited sensory conveyance. This observation led him to hypothesize that video reviews, by providing rich visual and experiential cues, may have differentiated value depending on when a consumer encounters them.

To rigorously test these hypotheses, the research team selected a frequently purchased consumer good, smartphone cases, as their experimental case study. Collaborating with Raquel Benbunan-Fich from the City University of New York, the team recruited 120 undergraduate students to participate in a laboratory-controlled shopping simulation. Participants were instructed to undertake a hypothetical task of purchasing a smartphone case as a gift, mimicking a realistic online shopping environment.

The study was designed to replicate the natural consumer process, involving an initial broad browsing phase followed by a deliberate final selection stage. During the first phase, participants examined eight different smartphone cases to whittle down their preferences to two choices, akin to scrolling through a search results page on major e-commerce platforms. The second phase entailed making the ultimate choice between those two finalists.

Crucially, the experiment incorporated a manipulation of review format sequences. One participant group was exposed to video reviews in the initial browsing phase, helping narrow the selection, and then received traditional text-based reviews during the final choice stage. Conversely, the other group encountered text reviews first, followed by video presentations during their decision selection. This method allowed the researchers to pinpoint how sequence and format fit interrelatedly impacted consumer judgment and purchase intentions.

The evidence strongly favored the strategy of introducing text reviews during the initial choice reduction and leveraging video content in the final selection phase. Participants adhering to this sequence perceived the reviews as significantly more reliable and engaging. They rated the review quality 9% higher, showcased 16% greater engagement with the information provided, and exhibited 18% stronger intentions to purchase compared to participants who experienced mismatched formats. This underscores a psychological synergy when the review format corresponds appropriately to the cognitive demands of each decision stage.

Jawad interprets these results as indicative of a “format–stage fit” effect where video reviews reveal their true persuasive power once the consumer is deeper into the decision process and requires richer, multisensory information to foster confidence. In earlier search phases, text is better suited to help consumers efficiently process and eliminate less desirable options due to its succinct, easily scannable nature.

This research carries essential implications for e-commerce platforms and digital marketers. Retailers should strategically time the delivery of video reviews to coincide with the terminal phases of a shopper’s journey, thereby enhancing the likelihood of conversion. Platforms such as Amazon have already made strides in deploying video content on detailed product pages that consumers typically visit after narrowing their option sets, reflecting Jawad’s findings.

Moreover, online influencers and content creators advocating products must consider where their audiences are in the buying cycle. Producing video content directed at consumers already leaning toward a purchase decision can maximize impact rather than merely generating early-stage browsing interest.

The study suggests a paradigm shift in how product reviews are structured and presented online: success hinges not only on content quality but also on temporal delivery. This timely insight has the potential to shape the future of digital consumer behavior research while offering actionable guidance to retail strategists seeking to harness the full power of video reviews.

Published in the esteemed peer-reviewed journal Decision Support Systems, the study titled “Why Video Reviews Are Not Always Better: The Role of Format–Stage Fit in Online Decision-Making” expands our understanding of technological augmentation of consumer judgments. It reminds us that technological tools, like video reviews, are not universally superior but rather contextually dependent facilitators of information processing and decision-making.

As the digital landscape further integrates video content into shopping ecosystems, this research encourages a more scientifically grounded approach to how consumers interact with product information. By tailoring review formats to psychological stages of the decision process, online retailers and marketers can significantly enhance consumer trust, engagement, and ultimately the conversion rate.

Looking forward, it will be essential to explore whether similar effects hold across a broader array of product categories and more diverse demographic groups. The intersection of behavioral psychology, multimedia communication, and marketing technology promises fertile ground for sustained investigation that can optimize consumer experience in the ever-evolving digital marketplace.

Subject of Research: Consumer decision-making processes influenced by the timing and format of online product reviews, focusing on the interplay between text-based and video reviews during different stages of purchase decisions.

Article Title: Why video reviews are not always better: The role of format–stage fit in online decision-making

News Publication Date: 1-May-2026

Web References:

• Journal Article DOI: 10.1016/j.dss.2026.114634
• Pew Research on online reviews: https://www.pewresearch.org/internet/2016/12/19/online-reviews/
• Pew Research on TikTok video reviews: https://www.pewresearch.org/short-reads/2024/11/21/a-majority-of-us-tiktok-users-are-there-for-reviews-and-recommendations/

References:
Jawad, M., & Benbunan-Fich, R. (2026). Why Video Reviews Are Not Always Better: The Role of Format–Stage Fit in Online Decision-Making. Decision Support Systems. https://doi.org/10.1016/j.dss.2026.114634

Keywords:
online shopping, video reviews, consumer behavior, decision-making, e-commerce, marketing research, behavioral psychology, cognitive psychology, multimedia communication, purchase intent

The tension between self-interest and social status is a pervasive theme in human behavior. Ordinarily, people find satisfaction not merely in improving their own circumstances but in surpassing the achievements or possessions of their peers. This tendency manifests starkly in economic contexts, where a pay raise may feel disappointing if others receive larger increments, despite one’s absolute gain. In contrast, when decisions pertain to health, this competitive outlook diminishes considerably. The study conducted by researchers at the School of Management in Angers, France, and the University of East London uncovers how the gravity of health information reorients decision priorities toward individual welfare.

To explore this behavioral pivot, the researchers designed a series of experimental scenarios involving nearly 400 French participants. These hypothetical situations asked individuals to choose between maximizing their own benefits or attaining a superior relative status by outpacing others. Notably, in non-health domains such as finances or educational status, participants frequently preferred options that ensured they were better off relative to others, even at some personal cost. However, when the scenarios incorporated health parameters—ranging from life expectancy to surgery waiting times—the preference shifted decisively towards optimizing personal outcomes.

This critical finding suggests that health decisions activate a cognitive framework distinct from that governing material or social rewards. Involved calculations become more utilitarian and less influenced by concerns about social ranking. The researchers posit that the elevated stakes tied to health—often involving life or death consequences—render social comparison trivial compared to the imperative of maximizing individual well-being. Such an insight challenges existing models of behavioral economics which tend to emphasize relative advantage as a universal driver of human choice.

The implications stretch beyond theoretical discourse, bearing significant weight for public health policy and communication. Understanding that not all health information impacts decision-making equally, the study highlights life expectancy, surgery waiting times, and health insurance as particularly potent influencers of behavior. These facets resonate more deeply with individuals, discouraging status-based comparisons and fostering choices that enhance personal health outcomes. Public health campaigns and information dissemination could harness this knowledge to design messages that appeal to personal stakes rather than comparative advantage, potentially improving patient compliance and satisfaction.

Professor Kirk Chang of the Royal Docks School of Business and Law at the University of East London emphasizes this paradigm shift, noting that the fundamental question people ask morphs from “Am I better off than others?” to “What choice maximizes my own welfare?” The study underscores the innate human tendency to engage in social comparison across various life dimensions but reveals that this tendency is context-dependent and attenuated in the face of health-related decisions where personal survival or quality of life is involved.

From a methodological perspective, the experimental design meticulously isolated health variables to ascertain their impact on preference formation. By presenting participants with controlled hypothetical choices, the research disentangled the complex interplay between relative status and self-focused outcomes. This approach advances the methodological toolkit available to behavioral economists and psychologists seeking to unpack multifaceted decision processes, particularly those occurring under conditions of uncertainty and risk.

The study’s publication date in mid-2026 situates it at the cutting edge of behavioral sciences, reflecting evolving research priorities in health economics and decision theory. As health systems globally grapple with improving patient engagement and resource allocation, insights into motivational drivers carry immediate practical relevance. The nuanced understanding that healthcare decisions often transcend social positional concerns challenges policymakers to rethink incentive structures and communication frameworks to better align with intrinsic human values regarding health.

Moreover, this research invites further inquiry into the heterogeneous effects of different types of health information. Why, for instance, do life expectancy figures and surgery waiting times exert stronger influence than other health details? Disentangling these patterns may reveal deeper psychological mechanisms involving mortality salience, perceived control, and time sensitivity. Such extensions could guide more sophisticated interventions tailored to individual cognitive and emotional responses to health data.

In the realm of behavioral economics, this study contributes a pivotal perspective that extends beyond monetary outcomes. While economic models have traditionally integrated social preferences and status considerations as constants, the demonstrable context-dependence illustrated here necessitates refinement of these models. Incorporating a dynamic weighting of social versus personal priorities contingent on the domain could enhance the predictive power and normative relevance of behavioral theories.

Ultimately, the revelation that health concerns trigger a departure from relative positioning towards personal optimization enriches our comprehension of human rationality and its contextual fluidity. It points to a resilient prioritization of basic survival and well-being over social competition when individuals confront stakes of profound significance. This nuanced understanding heralds a promising avenue for enhancing health communication and policy design by aligning them more closely with fundamental human motivations illuminated through empirical research.

Subject of Research: Behavioral economics focusing on decision-making dynamics involving social comparison and health-related choices

Article Title: Better for self or better than others, the secret of relative position in behavior

News Publication Date: 16-Jun-2026

Web References: 10.1108/RBE-12-2025-0126

Keywords: Behavioral economics, health decision-making, social comparison, relative status, life expectancy, surgery waiting times, health insurance, experimental study, personal outcome optimization

At the heart of this research is an exploration of consumer behavior in relation to deli meats, a product category with well-documented food-safety concerns, especially related to listeriosis. The phenomenon whereby consumers idealize hand-prepared foods appears to be driven by associative cognitive biases. People often equate the visible human involvement in food preparation with attentiveness, authenticity, and care, which in turn fosters a perception of superior quality and safety. Yet, from a microbiological standpoint, such assumptions may be dangerously misguided. Each instance of manual handling introduces additional vectors for contamination, potentially elevating the risk of foodborne illness.

The investigative team, including Lavi Peng, an assistant professor specializing in hospitality and tourism management at UMass Amherst, collaborated with colleagues from Pennsylvania State University, the University of Houston, and Switzerland’s César Ritz Colleges. Together, they conducted two rigorously designed online experiments involving 344 American consumers. Participants were invited to evaluate the appeal and purchase intent for deli meat products under varying conditions, providing the research with a robust data set to analyze shifts in consumer perceptions when safety information was introduced.

In the initial experiment, participants were presented with two types of deli meat: one hand-sliced in a grocery store deli counter, and the other factory-sliced and prepackaged. Initially, without additional information, consumers displayed a strong preference and higher willingness to buy the hand-sliced product. This preference vividly illustrated the handmade food halo effect, as consumers assumed the hand-prepared option was of higher intrinsic value. However, when participants were subsequently informed—based on scientific evidence—that hand-sliced deli meat carries a significantly greater risk of listeriosis due to increased opportunities for contamination, their enthusiasm for the hand-sliced meat diminished, but not entirely in favor of the prepackaged option.

Interestingly, despite the food-safety warning, participants did not correspondingly increase their preference for the factory-packaged meat. This outcome suggests a complex interplay in consumer cognition: the reduction in appeal for hand-sliced meat did not automatically translate into elevated trust or desire for prepackaged meat, indicating that safety information alone is insufficient to override deep-seated perceptions tied to product presentation and perceived authenticity.

Addressing this conundrum, the researchers devised a second experiment aimed at testing whether embedding human-centric messaging and imagery on the packaging of factory-sliced meat could augment its appeal. By including cues signaling “human care”—such as photographs of farmers and statements emphasizing careful preparation—they sought to bridge the psychological gap between consumer desire for authenticity and the epidemiological reality of safety. Remarkably, after receiving the food-safety information, participants rated the redesigned prepackaged product more favorably than both the unmodified prepackaged and hand-sliced options, with increased reported likelihood to purchase.

This response reveals that consumers are less enamored with the act of human handling itself and more attracted to symbolic tokens of nurturing, attentiveness, and provenance. It underscores the necessity for marketers and public health officials alike to rethink strategies for promoting safer food choices. Merely presenting scientific data or risk statistics is insufficient; rather, these messages must be interwoven with signals of care and trustworthiness for the safer options to gain consumer traction.

From a food safety perspective, this study sheds light on the nuanced challenges within the food supply chain and consumer perception management. The so-called handmade food halo may inadvertently perpetuate practices that increase contamination risks by fostering overconfidence in hand-prepared products. This insight calls for enhanced transparency and innovative communication methods to recalibrate public understanding without alienating those who value artisanal qualities in their foods.

Crucially, the research addresses a broader implication for ready-to-eat food segments beyond deli meats. Items such as sushi and street foods—often prized for their handmade appeal—may be subject to similar consumer misperceptions that overlook latent safety hazards. This insight encourages cross-sector application of tailored interventions that balance authenticity with rigorous hygiene practices.

The findings also point to the reality of consumer behavior in fast-paced retail environments. Purchase decisions frequently happen spontaneously, with little opportunity for in-depth research or deliberation. Therefore, visibility and immediacy of safety information at points of sale become imperative. Packaging and marketing materials should not only inform but do so in a manner that resonates emotionally and cognitively with consumers, reinforcing confidence in safety without sacrificing the allure of care and quality.

In dissecting consumer psychology, this study contributes to the field of food marketing and public health communication by highlighting how cognitive biases can be redirected towards safer choices. The handmade food halo demonstrates a classic case of heuristic-driven decision-making, where superficial cues dominate deeper analytical evaluation. Understanding this dynamic enables development of more effective messaging frameworks that integrate scientific rigor with consumer psychology.

Ultimately, this interdisciplinary research fosters a paradigm shift in how food safety and authenticity are marketed in tandem. It empowers stakeholders—from producers to retailers to regulators—to leverage human-centric, trust-building cues alongside factual safety information. This fusion promises a path forward where consumer preferences align more closely with actual product safety, reducing risk while preserving the cherished values associated with food preparation.

Subject of Research: Food safety and consumer behavior regarding hand-prepared versus factory-packaged deli meats.

Article Title: Human touch vs. food safety: How information interventions impact the handmade food halo

Web References:
https://www.sciencedirect.com/science/article/abs/pii/S0278431926002173
http://dx.doi.org/10.1016/j.ijhm.2026.104770

Keywords: Food safety, handmade food halo, consumer behavior, deli meat, foodborne illness, listeriosis, marketing, food packaging, risk communication, authenticity, human handling, food contamination