DOI: https://doi.org/10.1016/j.ejor.2018.09.049 

Abstract: This paper considers an unsignalized intersection used by two traffic streams. The first stream of cars is using a primary road, and has priority over the other stream. Cars belonging to the latter stream cross the primary road if the gaps between two subsequent cars on the primary road are larger than their critical headways. A question that naturally arises relates to the capacity of the secondary road: given the arrival pattern of cars on the primary road, what is the maximum arrival rate of low-priority cars that can be sustained? This paper addresses this issue by considering a compact model that sheds light on the dynamics of the considered unsignalized intersection. The model, which is of a queueing-theoretic nature, reveals interesting insights into the impact of the user behavior on the capacity. The contributions of this paper are threefold. First, we introduce a new way to analyze the capacity of the minor road. By representing the unsignalized intersection by an appropriately chosen Markovian model, the capacity can be expressed in terms of the solution of an elementary system of linear equations. The setup chosen is so flexible that it allows us to include a new form of bunching on the main road that allows for dependence between successive gaps, which we refer to as Markov platooning; this is the second contribution. The tractability of this model facilitates studying the impact that driver impatience and various platoon formations on the main road have on the capacity of the minor road. Finally, in numerical experiments we observe various surprising features of the aforementioned model. (published online first)

DOI: doi:https://doi.org/10.1016/j.ejor.2020.02.015 

Abstract: Many port authorities have developed ambitious strategies to foster hinterland intermodal transportation. In addition, port-centric logistics, that is, the provision of distribution facilities and value-adding activities in the port area, has expanded in multiple ports. Obviously, such port-centric logistics may impact the operations in the hinterland substantially and could potentially reduce opportunities for intermodal transport in the hinterland. We analyze the interaction between port-centric logistics and hinterland intermodal transportation. We take a logistics service provider’s perspective and we include some key elements in the model, such as detention fees, extra handling, transport efficiency and empty container repositioning. We develop new analytical results identifying the optimal market areas of truck-only transportation, port-centric logistics and hinterland intermodal transportation. Our results show that tension between port-centric logistics and hinterland intermodal transportation is quite likely to happen in practice. We additionally study the use of continental containers as a way to reconcile port-centric logistics and hinterland intermodal transportation and we derive further results. We illustrate our results via an example and we highlight managerial insights.

DOI: https://doi.org/10.1287/msom.2019.0806 

DOI: https://doi.org/10.1016/j.is.2022.102035 

Abstract: Process mining techniques are valuable to gain insights into and help improve (work) processes. Many of these techniques focus on the sequential order in which activities are performed. Few of these techniques consider the statistical relations within processes. In particular, existing techniques do not allow insights into how responses to an event (action) result in desired or undesired outcomes (effects). We propose and formalize the ARE miner, a novel technique that allows us to analyze and understand these action-response-effect patterns. We take a statistical approach to uncover potential dependency relations in these patterns. The goal of this research is to generate processes that are: (1) appropriately represented, and (2) effectively filtered to show meaningful relations. We evaluate the ARE miner in two ways. First, we use an artificial data set to demonstrate the effectiveness of the ARE miner compared to two traditional process-oriented approaches. Second, we apply the ARE miner to a real-world data set from a Dutch healthcare institution. We show that the ARE miner generates comprehensible representations that lead to informative insights into statistical relations between actions, responses, and effects.

DOI: https://doi.org/10.1093/rof/rfz002 

Abstract: Abstract: We test the proposition that investors' ability to cope with financial losses is much better than they expect. In a panel survey of investors from a large bank in the UK, we ask for their subjective ratings of anticipated returns and experienced returns. The time period covered by the panel (2008-2010) is one where investors experienced frequent losses and gains in their portfolios. This period offers a unique setting to evaluate investors' hedonic experiences. We examine how the subjective ratings behave relative to expected portfolio returns and experienced portfolio returns. Loss aversion is strong for anticipated outcomes; investors are twice as sensitive to negative expected returns as to positive expected returns. However, when evaluating experienced returns, the effect diminishes by more than half and is well below commonly found loss aversion coefficients. This suggests that a large part of investors' financial loss aversion results from an affective forecasting error.

DOI: https://doi.org/10.1111/joms.12983 

Abstract: A consensus in the literature has converged on the idea that one's perceptions of being treated better by a leader (compared with one's coworkers' treatment by the same leader) motivate prosocial behaviour. Drawing on current theory of hubristic pride and its evolutionary role in status maintenance, we challenge this consensus by proposing that favourable, downward social comparisons of leader-member exchange (i.e., leader-member exchange social comparisons; LMXSC) can also lead to social undermining. Specifically, we argue that, in individuals with high trait dominance, LMXSC triggers hubristic pride, which, in turn, motivates social undermining. Results from two experiments and a longitudinal field study support this idea. In sum, our work shifts the consensus in LMXSC theory by showing when and why high LMXSC can motivate negative coworker-directed behaviour, and it also offers practical help to organizational leaders dealing with the ethical decision of if, and when, to preferentially treat individual team members.

DOI: https://doi.org/10.1371/journal.pone.0285377 

DOI: https://doi.org/10.1108/JHLSCM-07-2022-0078 

Abstract: This paper aims to provide a discussion on the interface and interactions between data, analytical techniques and impactful research in humanitarian health supply chains. New techniques for data capturing, processing and analytics, such as big data, blockchain technology and artificial intelligence, are increasingly put forward as potential “game changers” in the humanitarian field. Yet while they have potential to improve data analytics in the future, larger data sets and quantification per se are no “silver bullet” for complex and wicked problems in humanitarian health settings. Humanitarian health supply chains provide health care and medical aid to the most vulnerable in development and disaster relief settings alike. Unlike commercial supply chains, they often lack resources and long-term collaborations to enable learning from the past and to improve further.

DOI: https://doi.org/10.1016/j.econlet.2023.111045 

Abstract: The paper studies the role of renewable energy in the stock market reaction to the Russia-Ukraine crisis. The examination of equity prices reveals that European firms with a larger share of ex-ante purchased or produced renewables experience less stock return decline in the Russia-Ukraine outbreak period.

DOI: https://doi.org/10.1111/poms.13690 

Abstract: In 2020, the world started a fight against a pandemic that has severely disrupted commercial and humanitarian supply chains. Humanitarian organizations (HOs), like the World Food Programme (WFP), adjusted their programs in order to manage this pandemic. One such program is cash and voucher assistance (CVA), which is used to bolster beneficiaries' freedom of choice regarding their consumption. In this vein, WFP supports local retailers to provide CVA to beneficiaries who do not have access to a functioning market. However, the operations of these stores can suffer from a very high transmission risk of COVID-19 unless preventive measures are put in place to reduce it. This paper discusses strategies that retailers and HOs can enact to maximize their service and dignity levels while minimizing transmission risk under a CVA program during a pandemic. We argue that HOs providing CVA programs can improve their assistance during a pandemic by implementing strategies that impact the retailing operations of their retailers.

DOI: https://doi.org/10.1007/s11747-022-00916-0 

Abstract: How does advertising affect supply and demand in the entertainment industry? Different advertising and distribution mechanisms and unique product characteristics limit the transferability of findings from other industries to the entertainment industry. This meta-analysis focuses on 290 documented elasticities, drawn from 59 studies of movies and video games, and establishes new findings and empirical generalizations. First, the average advertising elasticity in the entertainment industry is .33 (method bias-corrected .20), approximately three times higher than the average identified for other industries. Second, average advertising elasticities are higher for demand (e.g., revenue) than for supply (e.g., screens). Third, elasticities of pre-launch advertising are higher than those of overall advertising budgets, but with respect to the success period, elasticities are higher for later periods, and in total, compared to the launch period. Fourth, elasticities tend to be rather recession-proof and consistent across geographic regions but decreased after the rise of social media platforms.

Abstract: Supply chains are dynamic and complex systems. This holds particularly true for humanitarian supply chains that operate under strong uncertainty. In view of an ever-growing gap of unmet humanitarian needs, it is essential to gain a better understanding of the behavior of humanitarian supply chain systems. Despite a growing academic output in this field, there is a lack of empirical studies that take an integrated view on humanitarian supply chains and support decision makers with fact-based evidence. Based on four extensive case studies and existing literature, we developed a system dynamics model that reflects the operational reality of humanitarian organizations in form of their centralized, hybrid and decentralized settings. The model provides a holistic supply chain view and measures the operational performance with regard to response cost, delivery lead time and impact on the local economy. Furthermore, we studied the impact of preparedness investments to enhance operational performance in the supply chain and deliver more humanitarian assistance with the limited resources available. Finally, we used our model to analyze the impact of major shocks such as the COVID-19 pandemic to assess the vulnerability of humanitarian supply chains. The results indicate that operational settings, product and disaster characteristics have a major influence on the supply chain performance both in the noninvestment case as well as in the case where preparedness investments have been made. Specifically, for low-value items, we find that decentralized settings have the lowest supply chain costs while for high-value items the price difference between local and international procurement determines which setting is the most cost-effective one. The preferability of the supply chain setting strongly depends on the indicator chosen. Hence, ultimately, the findings emphasize the need to apply appropriate indicators and identify their trade-offs to comprehensively analyze the performance of humanitarian supply chain settings. The newly introduced Humanitarian Return-on-Investment concept can play an important role in this context.

DOI: https://doi.org/10.1017/S0022109023000418 

Abstract: It is well documented that since at least the 1970s investment-cash flow (I-CF) sensitivity has been decreasing over time to disappear almost completely by the late 2000s. Based on a neoclassical investment model with costly external financing, we show that this pattern can be explained by the gradual increase of capital adjustment costs, attributable to the accumulation of knowledge capital. The result is robust to a variety of approaches, including Euler equation estimation and the simulated method of moments. More generally, our findings demonstrate that I-CF sensitivity should only be interpreted as a joint measure of financial and real frictions.

DOI: https://doi.org/10.1111/poms.14017 

Abstract: Carbon emissions reduction initiatives have received considerable attention at the corporate level. Companies such as Daimler, Apple and Amazon have publicly declared their goal of becoming carbon neutral, or “net zero” in a near future. They are responding to a growing demand for sustainable products and services. Companies have a variety of options for carbon emission reductions available to them, including internal reductions such as adopting renewable energy, as well as buying carbon offsets. This raises the question of whether consumers perceive the different types of carbon emission reductions as equivalent, or whether they favor the implementation of internal measures. We investigate this issue empirically through surveys and incentive-compatible discrete choice experiments. We find clear consumer preferences and willingness to pay for companies to reduce their carbon footprint when companies internally reduce their controllable emissions rather than buying carbon offsets for these emissions, and it is especially true for eco-conscious consumers. Consumers place roughly the same value, however, to internal reductions in controllable emissions, and buying offsets for the same amount of uncontrollable emissions.

DOI: https://doi.org/10.1016/j.copsyc.2023.101667 

Abstract: Humor research in organizations focuses on leaders’ humor, but we know far less about followers’ humor. Here, we review and synthesize the scattered work on this "upward humor," offering a novel framing of it as a strategy for followers to deal with hierarchies. We propose a continuum of upward humor from stabilizing (i.e., a friend who uses upward humor to reinforce hierarchies, make hierarchies more bearable or stable) to destabilizing (i.e., a fiend who uses upward humor to question or reshape existing hierarchies) depending on perceived intent (i.e., from benevolent to malicious, respectively) and outline key factors that shape these interpretations. We close with novel questions and methods for future research such as power plays, multi-modal data, and human-robot interactions.

DOI: https://doi.org/10.1371/journal.pone.0286968 

Abstract: Although many organizations strive for radical or disruptive new ideas, many fall short of their goals. We propose that a primary reason for this failure is rooted in the individuals responsible for innovation: while they seek novel ideas, they prefer familiar ones. While prior research shows that individuals are biased against ideas with high objective novelty, it has overlooked the role of subjective novelty, i.e., the extent to which an idea is novel or unfamiliar to an individual idea evaluator. In this paper, we investigate how such subjective familiarity with an idea shapes idea evaluation in innovation. Drawing on research from psychology and marketing on the mere exposure effect, we argue that familiarity with an idea positively affects the evaluation’s outcome. We present two field studies and one laboratory study that support our hypothesis. This study contributes to the understanding of cognitive biases that affect innovation processes.

DOI: https://doi.org/10.1016/j.bar.2023.101234 

Abstract: We examine the effect of CEO extraversion on corporate performance during the Global Financial Crisis (GFC). Contrary to the expectation that extraverted CEOs should shield firms better from GFC adversities, we document that the extraversion characteristic of CEOs places a significant, though negative, effect on corporate performance during the financial crisis. Our findings are robust to controlling for other CEO personality traits. We also perform a battery of robustness tests and validate the underperformance of firms with extraverted CEOs during the GFC using stock returns and measures of operating performance. We argue that because extraverted CEOs are associated with heightened firm risk profile, this can hurt firms when the market disciplines excessive risk-taking during the crisis.

DOI: https://doi.org/10.1016/j.ijresmar.2023.06.002 

Abstract: Firms usually undertake layoffs to improve financial performance. However, layoffs often have negative effects on various stakeholders, including consumers. In this paper, we examine the magnitude and duration of the potential negative effect of layoff announcements on brand strength. We also examine how a firm's communication accompanying a layoff can potentially counteract the observed negative effect of layoff announcements on brand strength. We compare how advertising communication intensity, social media communication (i.e., brand-initiated tweets), public relation (PR) communication, and communication of CSR initiatives moderate the main effect of layoff announcements on brand strength. Using an error correction model and drawing on 366 announcements of layoff events in Germany, this study identifies the magnitude and duration of the main effect. An examination of five years of weekly consumer brand perception data across multiple industries and domestic and foreign firms shows that advertising communication intensity and social media communication amplify the negative impact of layoff announcements on brand strength. Conversely, PR communication and communication of CSR initiatives help mitigate the negative effect. These findings provide guidance on the best way for firms to design firm communication in the context of layoff announcements.