Trade-off Decisions Research Articles

Does counting change what counts? Quantification fixation biases decision-making

People often rely on numeric metrics to make decisions and form judgments. Numbers can be difficult to process, leading to their underutilization, but they are also uniquely suited to making comparisons. Do people decide differently when some dimensions of a choice are quantified and others are not? We explore this question across 21 preregistered experiments (8 in the main text, N = 9,303; 13 in supplement, N = 13,936) involving managerial, policy, and consumer decisions. Participants face choices that involve tradeoffs (e.g., choosing between employees, one of whom has a higher likelihood of advancement but lower likelihood of retention), and we randomize which dimension of each tradeoff is presented numerically and which is presented qualitatively (using verbal estimates, discrete visualizations, or continuous visualizations). We show that people systematically shift their preferences toward options that dominate on tradeoff dimensions conveyed numerically-a pattern we dub "quantification fixation." Further, we show that quantification fixation has financial consequences-it emerges in incentive-compatible hiring tasks and in charitable donation decisions. We identify one key mechanism that underlies quantification fixation and moderates its strength: When making comparative judgments, which are essential to tradeoff decisions, numeric information is more fluent than non-numeric information. Our findings suggest that when we count, we change what counts.

Breeding zebra finches prioritize reproductive bout over self-maintenance under food restriction.

Reproduction requires high amounts of energy, and challenging environments during breeding can force parents to prioritize their current reproductive bout over self-maintenance or vice versa. However, little is known about how common stressors, such as food restriction, can influence these trade-offs during breeding, and the physiological mechanisms for these trade-off decisions. In this study, adult zebra finches (Taeniopygia castanotis) were subjected to a control diet (ad libitum) or a 40% food restriction while raising nestlings and fledglings, and we measured body mass, furculum fat, plasma corticosterone (CORT) and blood glucose levels of the parents at the time of pairing, when their offspring fledged, and when their offspring reached nutritional independence. Offspring were also measured in body mass and growth rate from hatching until the end of the treatment period. Food-restricted parents had lower body mass when their offspring fledged and reached nutritional independence and higher baseline CORT at fledging compared to controls. Offspring did not differ in body mass or growth rate between treatment groups. However, there was no effect of food restriction on parents' furculum fat, baseline glucose, the adrenocortical response, or the glucose response. Furthermore, path analysis results suggest that alterations in baseline glucose is the primary driver of changes in body mass in parents and offspring brood mass. Taken together, these results suggest that food restriction during chick rearing in a short-lived passerine drives parents to prioritize their current reproductive bout over self-maintenance, and glucose could potentially be a mechanism for diverting energy toward parental effort.

B-022 A New DNA Size-Selection Technology:Methods for Isolating, Capturing, and Recovery of Target Macromolecules by Gel Electrophoresis

Abstract Background The ability to recover DNA fragments in high quantity and purity from agarose gel is an important need for researchers in molecular biology laboratories for downstream applications such as testing and sequencing. There are multiple established methods and corresponding commercial products available at researchers’ disposal. Despite the availability of many methods, researchers often face a trade-off decision between fast and simple methods with low yield and poor DNA quality, and time-consuming and expensive methods with higher yields and better purity. Methods Gene Stix (ElectroSep) is a new system for recovery of DNA/RNA from an electrophoresis gel. Using the power of electrophoresis to separate nucleic acids based on size (a well-known technique), the Gene Stix, for the first time, allows one to recover nucleic acids directly from the gel. Gene Stix consisted of a cationic membrane which is inserted (in front of the nucleic acid of interest) into the electrophoresis gel after the nucleic acids are resolved from other contaminants in a separate step. After the Gene Stix is inserted in front of the DNA, the gel is re-run for a short period of time, binding the DNA to the Gene Stix. The Gene Stix is removed from the gel (carrying the DNA) and the DNA is recovered by elution using a special buffer. Results Electro-Sep technology allows DNA recovery around 85% and may lead up to 35% process efficiency for purification. It maximizes the process efficiency by not requiring damaging UV sensitive dyes in samples or cutting gel bands and allowing multiple Gene Stix used with one sample. Unique serial numbering system provides unambiguous sample identification. Conclusions The yield from different methods varies, however, it is typically at around 60-70%. Many of the commercially available DNA purification kits require around 25-30 minutes for purification. Moreover, the process with available methods could be laborious requiring cutting the gel bands, using UV dyes in sample, or simply requiring specialized gel electrophoresis equipment. Electro-Sep technology (and Gene Stix product using the technology), designed to recover size-selected DNA from agarose gel, provides a viable option that is rapid, easy-to-use yet resulting in high DNA recovery.

Key considerations in the adoption of Artificial Intelligence in public health.

The integration of Artificial Intelligence (AI) into public health has the potential to transform the field, influencing healthcare at the population level. AI can aid in disease surveillance, diagnosis, and treatment decisions, impacting how healthcare professionals deliver care. However, it raises critical questions about inputs, values, and biases that must be addressed to ensure its effectiveness. This article investigates the factors influencing the values guiding AI technology and the potential consequences for public health. It outlines four key considerations that should shape discussions regarding the role of AI in the future of public health. These include the potential omission of vital factors due to incomplete data inputs, the challenge of balancing trade-offs in public health decisions, managing conflicting inputs between public health objectives and community preferences, and the importance of acknowledging the values and biases embedded in AI systems, which could influence public health policy-making.

Do socially responsible firms demonstrate a preference for using classification shifting to manage earnings?

Prior research finds socially responsible firms are less likely to engage in earnings management, suggesting that socially responsible firms seek to provide more transparent financial reports (Hong and Anderson 2011; Kim, Park, and Wier 2012; Hwang, Choi, Choi, and Lee 2022). We investigate whether managers of CSR firms demonstrate a preference for classification shifting when making trade-off decisions among earnings management methods. First, our results support prior studies that find the overall extent of earnings management is lower for CSR firms. However, this study focuses on the use of classification shifting relative to other forms of earnings management. We find a robust positive relation between CSR performance and the relative use of classification shifting. Our results suggest that while CSR firms engage in lower levels of earnings management they demonstrate a preference to choose classification shifting when engaging in earnings management. These findings are consistent with managers perceiving classification shifting as a less unethical tool relative to accruals earnings management or real activities manipulation. Subsequent analyses reveal that our results are most pronounced for firms with lower external monitoring where managers have the most freedom to make trade-off decisions among earnings management methods based on ethical considerations. Overall, by demonstrating a preference for classification shifting relative to other earnings management tools our study furthers our understanding of the role of ethical considerations in earnings management decisions.

How three-dimensional forest structure regulates the amount and timing of snowmelt across a climatic gradient of snow persistence

Across the western United States, forests are changing rapidly, with uncertain impacts on snowmelt water resources. Snow partitioning is controlled by forest effects on interception, radiation, and sublimation. Yet, models often lack snow measurements with sufficiently high spatial and temporal resolution across gradients of forest structure to accurately represent these fine-scale processes. Here, we utilize four Snowtography stations in Arizona, in the lower Colorado River Basin, with daily measurements over 3–5 years at ~110 positions distributed across gradients of forest structure resulting from wildfires and mechanical thinning. We combine Snowtography with lidar snapshots of forest and snow to train a high-resolution snow model and run it for 6 years to quantify how forest structure regulates snowpack and snowmelt. These study sites represent a climate gradient from lower/warmer ephemeral snowpack (~2,100 m asl) to higher/colder seasonal snowpack (~2,800 m asl). Forest cover reduced snowpack and snowmelt through canopy sublimation. Forest advanced snowmelt timing at lower/warmer sites but delayed it at higher/colder sites. Within canopy gaps, shaded cool edges had the greatest peak snow water equivalent (SWE). Surprisingly, sunny/warm gap edges produced more snowmelt than cool edges, because high radiation melted snow quickly, reducing exposure to sublimation. Therefore, peak SWE is not an ideal proxy for snowmelt volume from ephemeral snowpacks, which are becoming more prevalent due to warming. The results imply that forest management can influence the amount and timing of snowmelt, and that there may be decision trade-offs between enhancing forest resilience through delayed snowmelt and maximizing snowmelt volumes for downstream water resources.

Trade-off between double cleavage-stage embryos transfer and single blastocyst-stage embryo transfer in patients with few good quality embryos in antagonist cycles: a retrospective study using a propensity score matching analysis

ObjectiveThis study aimed to compare the per OPU clinical outcomes for transfer of Day 3 double cleavage-stage embryos (DET) and Day 5 single blastocyst-stage (SBT) in patients with five or fewer good quality embryos on day 3 per occyte pick-up cycle (OPU) in antagonist cycles with consideration of blastocyst formation failure.MethodsThis was a retrospective, observational cohort study of 2,116 cases of OPU treated with antagonist protocol in the affiliated Chenggong Hospital of Xiamen University between January 2013 and December 2020. DET was performed in 1,811cycles and SBT was performed in 305 cycles. The DET group was matched to the SBT group by propensity score (PS) matching according to multiple maternal baseline covariates. After PS matching, there were 303 ET cycles in each group. The primary outcomes were the cumulative live birth rate (CLBR), cumulative multiple pregnancy rate(CMPR)per OPU and the number of ET to achieve live birth per OPU. Secondary outcomes were the percentage of clinical pregnancy(CPR), live birth rate(LBR), multiple pregnancy rate(MPR).ResultsFollowing PS mating, the CLBR was slightly higher (48.8% versus 40.3% ; P = 0.041) and the CMPR was significantly higher in the DET group compared to SBT group(44.2% versus 7.9%, P < 0.001). The CPR, LBR and MPR per fresh transfer were higher in DET group compared to SBT group(50.2% versus 28.7%; 41.3% versus 21.5%;29.6% versus 0%, P < 0.001). The number of ET to achieve live birth per OPU in SBT group was obiviously more than in DET group(1.48 ± 0.578 versus 1.22 ± 0.557 ,P < 0.001).ConclusionWith a marginal difference cumulative live birth rate, the lower live birth rate per fresh transfer and higher number of ET per OPU in the SBT group suggested that it might take longer time to achieve a live birth with single blastocyst strategy. A trade-off decision should be made between efficiency and safety.

Functional Lung Avoidance Planning Using Multicriteria Optimization

Functional lung avoidance (FLA) radiation therapy is an evolving field. The aim of FLA planning is to reduce dose to areas of functioning lung, with comparable target coverage and dose to organs at risk. Multi-criteria optimisation (MCO) is a planning tool that may assist with FLA planning. This study assessed the feasibility of using MCO to adapt radiation therapy plans in order to avoid functional regions of lung that were identified using a 68Ga-4D-V/Q PET/CT.Methods A prospective clinical trial [anonymized for review] was performed in which patients had a 68Ga-4D-V/Q PET/CT prior to radiation treatment. Of the 72 patients enrolled in this trial, 38 patients had stage III non-small cell lung cancer and were eligible for selection into this planning study. Functional lung target volumes HF lung (highly-functioning lung) and F lung (functional lung) were defined using the ventilated and perfused lung. Using knowledge-based planning, a baseline anatomical plan was created, and then a functional adapted plan was generated using multi-criteria optimisation. The primary aim was to spare dose to HF lung. Using the MCO tools, a clinician selected the final FLA plan. Dose to functional lung, target volumes, organs at risk and measures of plan quality were compared using standard statistical methods.Results The HF lung volume was successfully spared in all patients. The F lung volume was successfully spared in 36 of the 38 patients. There were no clinically significant differences in dose to anatomically defined organs at risk. There were differences in the planning target volume (PTV) near maximum and minimum doses. Across the entire population, there was a statistically significant reduction in the functional mean lung dose but not in the functional volume receiving 20 Gy. All trade-off decisions were made by the clinician.Conclusion Using MCO for FLA was achievable, but did result in changes to PTV coverage. A distinct advantage in using MCO was that all decisions regarding the cost and benefits of FLA could be made in real time.

What's the catch? Trade-off challenges in early design for sustainability

AbstractTrade-offs involving multiple criteria that cannot be satisfied at the same time are ubiquitous in engineering design activities. Navigating trade-off decisions can be challenging, especially when it comes to sustainability-related decisions in early-stage projects. Through a systematic literature review, we unravel the challenges related to sustainability trade-offs in technology development, concept design, and other front-end of innovation activities. The challenges, which were evaluated by experts from industry and academia, range from technical and organisational to psychological aspects.

Realtime optimization and management system (ROAM): A decision support system for digital agriculture systems

The growing disparity between food supply and demand requires innovative Digital Agriculture (DA) systems to increase farm sustainability and profitability. However, current systems suffer from problems of complexity stemming from the challenge of integrating diverse, often non-interoperable hardware and software components. In order to tackle these complexities to increase farm efficiency and understand the tradeoffs of these new DA innovations we developed Realtime Optimization and Management System (ROAM), which is a decision-support system developed to find a Pareto optimal architectural design to build DA systems. To find the Pareto optimal solution, we employed the Rhodium Multi-Objective Evolutionary Algorithm (MOEA), which systematically evaluates the trade-offs in DA system designs. Based on data from five live deployments at Cornell University, each DA design can be analyzed based on user defined objectives and evaluated under uncertain farming environments with ROAM. Paired with this, we develop a web interface that allows users to define personalized decision spaces and visualize decision tradeoffs. To help validate ROAM, it was deployed to a commercial farm where the user was recommended a DA architecture design method to increase farm efficiency. ROAM allows users to quickly make key decisions in designing their DA systems to increase farm profitability.

Land system governance shapes tick-related public and animal health risks

ABSTRACT Land cover and land use have established effects on hazard and exposure to vector-borne diseases. While our understanding of the proximate and distant causes and consequences of land use decisions has evolved, the focus on the proximate effects of landscape on disease ecology remains dominant. We argue that land use governance, viewed through a land system lens, affects tick-borne disease risk. Governance affects land use trajectories and potentially shapes landscapes favourable to ticks or increases contact with ticks by structuring human-land interactions. We illustrate the role of land use legacies, trade-offs in land-use decisions, and social inequities in access to land resources, information and decision-making, with three cases: Kyasanur Forest disease in India, Lyme disease in the Outer Hebrides (Scotland), and tick acaricide resistance in cattle in Ecuador. Land use governance is key to managing the risk of tick-borne diseases, by affecting the hazard and exposure. We propose that land use governance should consider unintended consequences on infectious disease risk.

A multimesh finite element method for integral nonlocal elasticity using mesh-decoupling technique

This study presents a generalized multimesh nonlocal finite element method (M2-FEM) that addresses several long-standing challenges in the numerical simulation of Eringen’s integral elasticity theories, often used to model nonlocal effects. The major challenges in the numerical simulation of integral boundary value problems are primarily rooted in the coupling of the spatial discretization of the global (parent) and integral (child) domains, which severely restricts both the applicability and the computational efficiency of existing algorithms by imposing an implicit trade-off between the accuracy of the child domain and the resources required by the overall parent domain. One of the defining contributions of this study consists in the development of a mesh-decoupling technique that generates isolated sets of meshes such that the parent and child domains can be discretized and approximated independently. This mesh-decoupling has multi-fold advantages on the simulation of integral theories such that, when compared to existing state-of-the-art techniques, the proposed algorithm achieves a greater ability to adopt generalized integral kernel functions, the ability to handle non-regular (non-rectangular) domains via unstructured meshing, and simultaneously better numerical accuracy and efficiency (hence allowing greater flexibility in both mesh size and computational cost trade-off decisions). Both benchmark studies and several case studies are conducted to assess the effectiveness of M2-FEM. Simulation results confirm that M2-FEM can accurately simulate integral nonlocal problems and demonstrate its multi-fold computational advantages over existing mesh-coupling-based nonlocal finite element methods. Overall, the proposed M2-FEM algorithm is very general and it can be applied to a variety of integral theories, even beyond nonlocal elasticity.

Firm density and entrepreneurship in national high-tech zones: the moderation role of national high-tech zone age

PurposeBased on the density dependence theory, this paper attempts to explore how two types of interdependence among firms located in the same national high-tech zones (NHTZs) – mutualism and competition – affect entrepreneurship in the NHTZs. The authors suggest that increasing firm density can help enhance legitimacy and form mutual networks. However, as the competition becomes fierce, the above positive relationship will weaken when the firm density exceeds a certain level. In addition, the authors are interested in whether the age of NHTZs would affect their sensitivity to legitimacy and competition and whether firm density affects entrepreneurship.Design/methodology/approachThis article formulates two hypotheses from the theoretical deduction. The hypotheses are examined using the ordinary least squares (OLS) regression with a unique, unbalanced panel dataset of Chinese NHTZs spanning from 2014 to 2021. Considering potential endogeneity risk among the variables, the authors attempt to lag variables and ultimately find the results are still robust.FindingsDrawing upon the density dependence theory, the empirical results show firm density is conducive to promoting entrepreneurship, while the positive relationship between community density and NHTZs' entrepreneurship gradually weakens as the firm density surpasses a certain level. The dynamics between mutualism and competition have different impacts on NHTZs' entrepreneurship. In addition, the results demonstrate that the linkage between firm interdependence and entrepreneurship is stronger for younger NHTZs. Firm density has an impact on entrepreneurship through legitimacy and excessive competition effects.Research limitations/implicationsOn the one hand, the research period of this paper is 2014–2021, as the China Torch Statistical Yearbook only started to publish operating revenues in 2014, so the data period of this paper is relatively short. More research can be done in the future when more data is disclosed. On the other hand, the qualitative analysis cannot be conducted because of the limited data and materials. In future research, the qualitative analysis of entrepreneurial activities in NHTZs, such as questionnaires or case studies, needs to be supplemented, which will be an interesting direction.Practical implicationsMost existing research has not distinguished the differences between NHTZs (Wang et al., 2019), especially the differences in legitimacy and access to resources caused by the age of NHTZs. This article considers the heterogeneity between NHTZs, which helps to provide theoretical and practical evidence for a transition economy like China to make trade-off decisions on balancing absorbing new entrants with promoting the efficient allocation of resources based on the density and age of NHTZs.Social implicationsDrawing upon density dependency theory, this paper enriches the literature on agglomeration and entrepreneurship with a new perspective and extends the study to NHTZs.Originality/valueFirst, this paper provides new evidence on how agglomeration affects entrepreneurship from an ecological perspective with the help of mutualism and competition interdependence. Most studies have explored the role of agglomeration in entrepreneurship, focussing on social networks, knowledge spillovers or resource endowments (Acs et al., 2013; Capozza et al., 2018; Yu, 2020). Drawing upon density dependency theory, this paper enriches the literature on agglomeration and entrepreneurship with a new perspective and extends the study to NHTZs. Second, the emphasis of science parks has been primarily on qualitative or case studies (Salvador et al., 2013; Guo and Verdini, 2015; Xie et al., 2018). We have diversified the quantitative research between agglomeration and entrepreneurship by using panel data from Chinese NHTZs from 2014 to 2021. Third, most existing research has not distinguished the differences between NHTZs (Wang et al., 2019), especially the differences in legitimacy and access to resources caused by the age of NHTZs. This article considers the heterogeneity between NHTZs, which helps to provide theoretical and practical evidence for a transition economy like China to make trade-off decisions on balancing absorbing new entrants with promoting the efficient allocation of resources based on the density and age of NHTZs. Finally, this paper meticulously investigates the profound influence and underlying mechanisms of firm density within NHTZs on entrepreneurship. It discerns two distinct mechanisms at play: the legitimacy effect and the impact of excessive competition resulting from firm density. This comprehensive analysis significantly contributes to our comprehension of the intricate interplay between firm density and entrepreneurship, shedding light on the dynamics of competition and mutual benefits.

The Minimum Viable Product (MVP): Theory and Practice

Building and deploying a minimum viable product (MVP) is often considered a necessary step in the venture development process. Although MVPs are ubiquitous in practice, foundational scholarly work on MVPs is virtually nonexistent. We leverage and build upon the lean start-up literature and the scientific approach to entrepreneurship to develop theory related to the dimensionality, forms, risks, and trade-offs of MVPs. We first define and identify the conceptual boundaries of MVPs and explain the relationship between MVP dimensionality and MVP development decisions. We then specify how MVP risks emerge and how these risks relate to the trade-off decisions that entrepreneurs must grapple with when building and deploying MVPs. We conclude by presenting future research opportunities on this important but previously overlooked phenomenological artifact.

Data-driven urban waterlogging risk management approach considering efficiency-equity trade-offs and risk mitigation capability evaluation

Because disaster reduction resources are always constrained, risk mitigation measures and policies need to be weighted toward efficiency or equity. Greater efficiency focuses on high-risk areas, and greater equity focuses on identifying additional potential risk areas. To address this efficiency-equity tradeoff decision, a data-driven urban waterlogging risk mitigation capability evaluation and improving framework was proposed for nonprofit operations and government bailouts. First, a novel evaluation index was defined, the F(α,β) score, to consider both precision and recall in the binary classification tasks and to seek an effective efficiency-equity trade-off, after which a two-person, zero-sum matrix game model was developed to calculate the α and β parameters and select the highest valued optimal model. Then, using this model, a risk probability map was generated for Wuhan, China, and data envelopment analysis was used to conduct a risk mitigation capability evaluation and identify the needed policy improvements. It was found that: (1) vulnerability was the primary risk-related factor, followed by adaptability and restorability; (2) more importance should be attached to equity than efficiency when implementing risk reduction capability evaluations, that is, authorities should reduce resource investments in extremely high-risk DEA-inefficient areas and identify a greater number of potential risk areas; (3) there were around 1.55% of extremely high-risk areas, which were mainly concentrated in the Jianghan and Wuchang districts and around 9% of high-risk areas, mainly located in the Hongshan district; and (4) northeastern and southwestern Jianghan district could be a valuable reference for urban waterlogging management and disaster reduction. However, excessive investment in transportation infrastructure and construction in DEA inefficient areas should be appropriately reduced.

Model-based approach for the automatic inclusion of production considerations in the conceptual design of aircraft structures

Including production considerations in the early design stages of aircraft structures is challenging. Production information is mostly known by experts and rarely formally documented such that it can be effectively used during the design process. Producibility is mostly considered after completing the design, resulting in increased cost and development time due to the late discovery of production issues. This paper presents a new model, called the Manufacturing Information Model (MIM), which supports the automatic inclusion of production considerations into the design process. The MIM provides a single source of truth and a generic structure to capture and organize production-related information in a product system. Furthermore, it provides compatibility analyses to automatically warn for or exclude infeasible designs. Analysis tools use the information stored within the MIM to calculate the mass, costs, and production rate of the product. To show the functionalities of the MIM, it has been applied to the conceptual design of a wing box at a Tier 1 company. This use case shows how the MIM supports trade-off decisions, as it allows for the identification of trends and the ranking of different manufacturing concepts. Overall, the MIM provides a structured and formal approach to include production information in the conceptual design, improving the decision-making process.

Modeling insights from the Austrian national gas grid under declining natural gas demand and increasing domestic renewable gas generation by 2040

This paper studies the development of the Austrian gas grid by 2040 under different decarbonization scenarios, ranging from electrifying most energy services to importing large amounts of renewable methane. The Austrian gas grid serves as a case study representative for those gas grids confronted with a drop in natural gas demand and an increase in domestic renewable gas generation in the future. A mixed-integer optimization model with a focus on the detailed representation of the existing grid (gas grid levels, pipeline capacity, route, and age) is used to determine the cost-optimal trade-off decision between expected low-utilized gas pipelines and an off-grid supply alternative (e.g., trucking and on-site gas storage) in a decarbonized Austrian and European energy system. Optimality determines whether to operate, decommission, or make replacement investments in the grid’s pipelines. Based on the required gas grid 2040 and its annual grid costs, estimates for tariffs of end customers are given. The paper’s main conclusion is that the domestic distributed renewable gas generation uptake will be associated with the need for an area-wide gas grid, but one that will be significantly less utilized. Future work could address, among other things, the exploration of the spatial interplay of local production and demand by forming regional clusters of renewable gas.

Play it safe or leave the comfort zone? Optimal content strategies for social media influencers on streaming video platforms

Social media influencers (SMIs) endeavor to attract, retain, and, more importantly, influence large audiences through creating videos on streaming video platforms (SVPs). Facing diverse audiences and intense competition, SMIs who differ in their skills and performance levels struggle with two challenging trade-offs in video production decision: (1) trade-off between reinforcement-seeking (i.e., reinforcing a specialized content style to play it safe) and variation-seeking (i.e., varying content style to leave the comfort zone), and (2) trade-off between early and late strategic action. This study explores the sweet spot of reinforcement- and variation-seeking by proposing a finite-horizon Markov Decision Process (MDP) model to maximize SMIs' influence on audiences on SVPs. Leveraging a series of musical videos produced by SMIs, our findings show that low-performing SMIs benefit more from variation-seeking than from reinforcement-seeking. By contrast, the influence of high-performing SMIs on audiences could be maximized by reinforcement- or variation-seeking, depending on the SMI type. High-performing SMIs' variation-seeking (should it be taken) is encouraged earlier than later over a planning horizon. This study contributes on on-demand content decision making and makes recommendations to SMIs and SVPs.

A holistic motility understanding of the social phenomena underlying inter-city high-speed rail commuting: Evidence from China's Yangtze River Delta

As high-speed rail (HSR) becomes more widespread, inter-city commuting is becoming an increasingly prevalent social phenomenon, yet little attention has been paid to obtaining a deeper understanding of the interdependence of various factors and how they contribute to the phenomena. This paper fills the gap by utilising the concept of motility to frame the analyses of in-depth interviews with HSR commuters between Suzhou and Shanghai in China's Yangtze River Delta. As the first in-depth qualitative study on this topic, our findings advance a holistic understanding of the perception, experience, compromised habits, strategies, and decision trade-off underlying the HSR intercity commuting behind the dark mobility numbers. This new empirical evidence of HSR commuting sheds light on the interdependence of the three elements of motility (range of possibilities, competence and cognitive appropriation). With better employment opportunities accessible by HSR, yet due to the nature of work, personal and family situations, and mobility constraints, cognitive appropriation of HSR commuters leads to various deliberate habits and strategies for daily, weekly, and flexible commuting, which is a precarious balance between individual competence and range of possibilities prompted by HSR either favourable or unfavourable conditions. These issues reflect the value of motility for critical assessments of transport policy and wider associated policy areas to achieve subsequent improvement of personal well-being. Also, the dominant one-way commuting from neighbouring smaller cities to economic powerhouse reflects a need for strategies that coordinate economic function and transport accessibility and enable better balanced two-way economic and commuting patterns in the long run.

Is there a tradeoff between management earnings forecasts and sustainability reporting?

This study investigates the relationship between managers' incentives to disclose management earnings forecasts (MEFs) and the Global Reporting Initiative (GRI) sustainability reports; two types of voluntary disclosures that are produced by managers to provide financial and/or nonfinancial information to stakeholders. As the antecedent determinants of these two disclosures overlap, but the related risks and strategic foci differ, managers' decisions to disclose MEFs and GRI sustainability reports could be independent, cooperative, competing, or even conflicting. Using a sample of public firms from the United States between 2005 and 2018, we demonstrate that managers make a tradeoff decision between disclosing MEFs and disclosing GRI sustainability reports, which is aggravated by proprietary costs and risk exposure. We also find that disclosing both the MEF and GRI sustainability report provides more useful information for investors than no disclosures or producing only one type of disclosure. This indicates that while stakeholders desire more high-quality information, managers compromise on disclosure level in practice. Our study is consistent with the recent trend of appeals by regulators, practitioners, and academia for enhanced standards to improve the quantity and quality of voluntary disclosures for information users.