bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental spiritual and religious beliefs and behaviour data collected from the Avon Longitudinal Study of Parents and Children, 2020
Authors: Iles-Caven Yasmin , Gregory Steven , Bickerstaffe Iain , Northstone Kate , Golding Jean 
Published: November 2022

There are few studies that chart the ways in which the religious beliefs and practices of parents and their offspring vary over time. Even fewer can relate this to aspects of their physical and mental health or distinguish the different facets of the environment that may have influenced the development or loss of religious/spiritual belief and behaviours over time. This paper describes the recent data collection in the Avon Longitudinal Study of Parents and Children (ALSPAC) on the beliefs and behaviours of the study parents some 27-28 years after the first measures were collected. Questions that were previously administered to the mother and her partner on religion, spirituality, behaviours, and beliefs (RSBB) were repeated for the fourth time, together with enhanced data on RSBB. The new data are described and compared with previous responses. The most notable difference between the 9 year and the 2020 sweep was the increase of professed non-believers in both the mothers (17.5% vs 29.8%) and partners (31.9% vs. 45.3%). As expected, on each occasion study partners were less likely to acknowledge RSBB compared to the study mothers. In the latest sweep, respondents were less likely to be unsure if they believed and more likely to not believe. Responses to “Do you believe in God or a divine power?” in mothers ranged from 49.9% stating ‘yes’ antenatally to 43.5% doing so in 2020; 14.9% vs 29.8% for ‘no’ and 35.2% to 26.6% for ‘not sure’. For partners, the corresponding figures are: ‘yes’ 37.0% vs. 30.0%; ‘no’ 28.6% vs. 45.3% and ‘not sure’ 34.5% vs. 24.6%. We plan to undertake detailed analyses of the antecedents and consequences of RBSS. All data are available for use by interested researchers.
The Legacy of Peter Fishburn: Foundational Work and Lasting Impact
Authors: Hupman Andrea C. , Simon Jay 
Published: November 2022

Peter Fishburn has had a tremendous impact on the field of decision analysis, developing ideas that would come to be foundational across decision analysis and that would impact the literature on decision making in economics, psychology, finance, engineering, and mathematics. This paper provides an overview of his legacy. We summarize 11 of his influential papers. We then trace his impact on recent research in topics including preference representation and elicitation, risk attitudes, time preferences, health preferences, behavioral decision making, social choice and voting, and geometric analyses.Supplemental Material: The online appendix is available at https://doi.org/10.1287/deca.2022.0461 .
Cutting Planes from the Branch-and-Bound Tree: Challenges and Opportunities
Authors: Contardo Claudio , Lodi Andrea , Tramontani Andrea 
Published: November 2022

In this short paper, we argue that the standard approach adopted by modern mixed-integer linear programming solvers of using very little cutting plane generation in the branch-and-bound tree can be too conservative and lead to the loss of significant opportunities. Our observation is motivated by some relatively simple computational investigation on a couple of instances in the MIPlib 2010 collection for which the benefit of generating globally valid cuts in the tree is significant. History: This “Challenge” paper was invited by the Editor-in-Chief and based on the topics raised by the author at his plenary address at the 2022 INFORMS Computing Society Conference in Tampa, Florida.
Economics of Permissioned Blockchain Adoption
Authors: Iyengar Garud , Saleh Fahad , Sethuraman Jay , Wang Wenjun 
Published: November 2022

We construct an economic framework for understanding the incentives of the participants of a permissioned blockchain for supply chains and other related industries. Our study aims to determine whether adoption of blockchain is socially beneficial and whether such adoption arises in equilibrium. We find that blockchain reduces information asymmetry for consumers, thereby enhancing consumer welfare. Consumer welfare gains can be sufficiently large that blockchain adoption is socially beneficial; nonetheless, we find that blockchain adoption does not arise in equilibrium. This situation arises because blockchain adoption costs are borne by manufacturers, and manufacturers cannot extract consumer gains through prices due to the competitive nature of the manufacturing sector. We offer a system of transfers to generate blockchain adoption in equilibrium when it is socially beneficial. This paper was accepted by Vishal Gaur, operations management. Funding: This research was partially supported by a seed grant from the Columbia–IBM Center for Blockchain and Data Transparency. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4532 .
Strategic Bank Liability Structure Under Capital Requirements
Authors: Sundaresan Suresh , Wang Zhenyu 
Published: November 2022

Banks strategically choose and dynamically restructure deposits and nondeposit debt in response to the minimum requirements on total capital and tangible equity. We derive the optimal strategic liability structure and show that it minimizes the protection for deposits conditional on capital requirements. Although, given any liability structure, regulators can set capital requirements high enough to remove the incentive for risk substitution, the strategic response to the capital requirements always preserves this incentive. Banks reduce leverage but increase the proportion of nondeposit debt if regulations raise the capital requirements.This paper was accepted by Lukas Schmid, finance.Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2022.4570 .
The Effect of Significant IPO Firms on Industry Incumbents: Evidence from Tax Planning
Authors: Chyz James , Henry Erin , Omer Thomas , Wu Biyu 
Published: November 2022

An IPO is a significant event for an individual firm, and the literature examining initial public offering (IPO) firms is extensive. However, there is little evidence on the subsequent effect of a significant IPO on incumbent firms. We extend this literature by using firms’ tax policies as a powerful setting to identify whether incumbent firms respond to a significant IPO in their industry. Specifically, we use a first difference analysis to examine whether incumbent firms herd their effective tax rates (ETRs) toward a significant IPO’s ETR. We provide robust evidence that incumbent firms adjust their ETR either up or down by one to two percentage points, on average, for up to three years following a significant IPO entrance to the industry. Cross-sectional analyses support attention-based and tax-specific motives for herding, and additional analysis documents market attention-based consequences. Finally, we find that incumbents weigh the benefits of herding against the cost of adjusting their ETR and that incumbent firms use discretionary tax accruals as a less costly mechanism to imitate IPO firms’ generally accepted accounting principles (GAAP) ETRs. We contribute to an IPO literature that focuses almost exclusively on the IPO firm. We extend the literature by providing evidence that a significant IPO in an industry can result in a herding response in incumbent firms’ policy choices. This paper was accepted by Brian Bushee, accounting. Funding: T. Omer acknowledges funding from the Delmar Lienemann Sr. Chair of Accounting at the University of Nebraska–Lincoln. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2022.4573 .
Competition and Innovation in Markets for Technology
Authors: de Bettignies Jean-Etienne , Liu Hua Fang , Robinson David T. , Gainullin Bulat 
Published: November 2022

We examine the impact of product market competition on innovation in markets for technology. An innovator makes an investment in quality-improving innovation that can be licensed to one (targeted licensing) or all (market-wide licensing) product market competitors. Our model points to a U-shaped relationship between competition in licensee product markets and innovation in the market for technology: at low levels of competition, market-wide licensing is optimal, and competition reduces innovation, whereas at high levels of competition, targeted licensing is optimal and competition increases innovation. Our empirical analysis using a large panel of U.S. data provides clear support for these predictions linking competition, innovation, and licensing.This paper was accepted by Joshua Gans, business strategy.Funding: J.-E. (de) Bettignies gratefully acknowledges financial support by the Social Sciences and Humanities Research Council of Canada [Grant 435-2013-1863].Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2022.4574 .
Increasing Biomanufacturing Yield with Bleed–Feed: Optimal Policies and Insights
Authors: Koca Yesim , Martagan Tugce , Adan Ivo , Maillart Lisa , van Ravenstein Bram 
Published: November 2022

Problem definition: Bleed–feed is a novel technology that allows biomanufacturers to skip intermediary bioreactor setups. However, the specific time at which bleed–feed is performed is critical for success. The process is stringently regulated, and its implementation involves unique tradeoffs in operational decision making. Our analysis formalizes the operational challenges related to bleed–feed decisions, and our results inform biomanufacturers and policymakers on the potential impact of this technology on current practice. Academic/practical relevance: Operations management (OM) methodologies have not yet been widely adopted in the biomanufacturing industry. This research presents one of the first attempts to demonstrate how OM can complement biomanufacturing to improve operational decisions. We present a practically relevant problem and a rigorous solution approach that is relevant to both OM and biomanufacturing. Methodology: We develop a finite-horizon, discrete-time Markov decision processes model and analyze the structural characteristics of optimal bleed–feed policies. Moreover, we characterize the behavior of the value function as a function of regulatory restrictions. As a salient feature, the MDP model captures both the biological dynamics of fermentation and the operational tradeoffs in biomanufacturing. Results: We show that optimal bleed–feed policies have a three-way control-limit structure under mild conditions that were validated with industry data. Moreover, our analysis reveals that the marginal benefits of bleed–feed diminish as additional bleed–feeds are performed. As a practically relevant benchmark, we consider a risk-averse heuristic and identify sufficient conditions for its optimality. Managerial implications: Our analysis (supported with an industry case study) shows that bleed–feed implementation can provide benefits. Real-world implementation at MSD resulted in an 82.5% improvement in the batch yield per setup (using one bleed–feed). We find that low-risk fermentation systems benefit the most from bleed–feed implementation. We also find that the performance gap between optimal policies and the risk-averse heuristic is higher when the failure risks or the critical biomass levels are lower. Funding: This work was supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO-VENI scheme. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2022.1163 .
S-Convexity and Gross Substitutability
Authors: Chen Xin , Li Menglong 
Published: November 2022

A New Concept to Study Substitute Structures in Economics and Operations Models In “S-Convexity and Gross Substitutability,” Chen and Li propose a novel concept of S-convex functions defined on continuous spaces, which extends a key concept of M-natural-convex functions in discrete convex analysis. They develop a host of fundamental properties and characterizations of S-convex functions. In a parametric maximization model with a box constraint, they show that the set of optimal solutions is nonincreasing in the parameters if the objective function is S-concave and prove the necessity of S-concavity under some conditions. The monotonicity result finds notable inventory models. Interestingly, the authors show that S-concavity is the correct notion characterizing gross substitutability, an important concept in economics for markets with divisible goods.
On-Demand Ride-Matching in a Spatial Model with Abandonment and Cancellation
Authors: Wang Guangju , Zhang Hailun , Zhang Jiheng 
Published: November 2022

Balancing the Abandonment and Cancellation of a Ride-Matching Market. In “On-Demand Ride-Matching in a Spatial Model with Abandonment and Cancellation,” Wang, Zhang, and Zhang propose a spatial model to approximate pickup times based on the number of waiting passengers and idle drivers. They analyze the dynamics of passengers and drivers in a queueing model in which the platform can control the matching process by setting a threshold on the expected pickup time. Applying fluid approximations, we obtain accurate performance evaluations and an elegant optimality condition based on which they propose a policy that adapts to time-varying demand.
Converging Tides Lift All Boats: Consensus in Evaluation Criteria Boosts Investments in Firms in Nascent Technology Sectors
Authors: Shen Xirong (Subrina) , Li Huisi (Jessica) , Tolbert Pamela S. 
Published: November 2022

Although previous studies show that the emergence of evaluation criteria for a new technology improves the life chances of well-performing firms, we theorize that consensus in such criteria among technology experts increases investments to all firms in the new sector. We provide a variety of supportive evidence for this claim. First, in an experiment with 80 Chinese investors (Study 1), we provide evidence of a causal relation between evaluation consensus and investments. We follow this with a second experiment with 412 U.S. participants (Study 2), showing that evaluation criteria consensus increases participants’ propensity to view a firm as technologically competent and to expect others to favor investing in the firm. Analyses of longitudinal archival data on investment in artificial intelligence technology firms in the United States (Study 3a) and China (Study 3b) support the generalizability of our findings. By exploring the social-cognitive processes that link evaluation criteria consensus to investors’ decisions to invest in firms in nascent technology fields, this paper advances the scholarly understanding of the microfoundations of the institutionalization processes in new market sectors. History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory. Funding: This work was supported by Cornell University (Innovation, Entrepreneurship, and Technology Theme Research Grant, Jeffrey S. Lehman Fund for Scholarly Exchange with China). Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2021.1493 .
Personal Shopper Systems in Last-Mile Logistics
Authors: van der Gaast Jelmer Pier , Arslan Alp Muzaffer 
Published: November 2022

This paper explores the logistics operations of instant grocery delivery services. Therefore, we introduce the instant delivery problem (IDP) to replicate and examine two widely adopted strategies in the rapid delivery market: the personal shopper system (PSS) and the inventory owned delivery (IOD) system. In the PSS, couriers visit affiliated brick-and-mortar stores in the delivery area to pick up and purchase ordered products and then deliver them to customers. In the IOD system, couriers collect products from a single distribution center, or so-called dark store, in which the platform manages the inventory. Even though a PSS strategy is asset light because of the utilization of existing retailers in the area, maintaining a good level of on-time instant deliveries with the PSS is more complex than with IOD. This is because the PSS requires deciding which store to purchase ordered goods from, and picking and shopping at stores needs to be considered in the real-time decision process. We propose a tailored rolling horizon framework that utilizes column generation to browse updated delivery plans for arriving customer orders. Computational studies both in real life–inspired settings and in case studies on selected urban areas show that the PSS is a highly competitive strategy compared with IOD, particularly when dealing with small-sized customer orders. We observe that the performance of the PSS is robust when varying the delivery service time frame. The case studies also suggest that the PSS becomes even more competitive in areas where the retail store density is high. History: This paper has been accepted for the Service Science Special Issue on Innovation in Transportation-Enabled Urban Services. Funding: This work was supported by National Natural Science Foundation of China [Grant 72150410444] to J.P. van der Gaast. Supplemental Material: The e-companion is available at https://doi.org/10.1287/serv.2022.0310 .
Constrained Local Search for Last-Mile Routing
Authors: Cook William , Held Stephan , Helsgaun Keld 
Published: November 2022

Last-mile routing refers to the final step in a supply chain, delivering packages from a depot station to the homes of customers. At the level of a single van driver, the task is a traveling salesman problem. But the choice of route may be constrained by warehouse sorting operations, van-loading processes, driver preferences, and other considerations rather than a straightforward minimization of tour length. We propose a simple and efficient penalty-based local search algorithm for route optimization in the presence of such constraints, adopting a technique developed by Helsgaun to extend the Lin–Kernighan–Helsgaun algorithm for the traveling salesman problem to general vehicle routing problems. We apply his technique to handle combinations of constraints obtained from an analysis of historical routing data, enforcing properties that are desired in high-quality solutions. Our code is available under the open-source Massachusetts Institute of Technology license. An earlier version of the code received the $100,000 top prize in the Amazon Last Mile Routing Research Challenge organized in 2021. History: This paper has been accepted for the Transportation Science Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems.
Precise measurements of the low optical absorption coefficients of massive lithium triborate crystal boules with untreated facets formed during the growth process
Authors: Aloyan Georgii A. , Denisov Dmitriy A. , Grishchenko Ivan V. , Konyashkin Aleksey V. , Ryabushkin Oleg A. 
Published: November 2022

A spatial
diagnostic of optical quality
of the massive lithium triborate crystal boule with untreated facets
was performed by measuring optical absorption coefficients at 1070 and
1908 nm wavelengths using the piezoelectric resonance laser
calorimetry technique.
Bayesian homodyne and heterodyne tomography: erratum
Authors: Chapman Joseph C. , Lukens Joseph M. , Qi Bing , Pooser Raphael C. , Peters Nicholas A. 
Published: November 2022

We correct typographical errors in Eq. (15) in [Opt. Express 30, 15184 (2022)10.1364/OE.456597]. These errors were not present in the actual formulas used to calculate the results of the paper, so all results remain unaffected.
Measuring patient centeredness with German language Patient-Reported Experience Measures (PREM)–A systematic review and qualitative analysis according to COSMIN
Authors: Mihaljevic Andre L. , Doerr-Harim Colette , Kalkum Eva , Strunk Guido 
Published: November 2022

Background
Patient centeredness is an integral part of the quality of care. Patient-reported experience measures (PREMs) are assumed to be an appropriate tool to assess patient-centredness. An evaluation of German-speaking PREMs is lacking.

Objective
To perform a systematic review and qualitative analysis of psychometric measurement qualities of German-language PREMs using for the first time a comprehensive framework of patient centredness.

Methods
A systematic literature search was performed in Medline, PsycInfo, CINHAL, Embase, Cochrane database (last search 9th November 2021) for studies describing generic, surgery- or cancer care-specific PREMs. All questionnaires that were developed in or translated into German were included. The content of the included PREMs was evaluated using a comprehensive framework of patient centredness covering 16 domains. Baseline data of all PREM studies were extracted by two independent reviewers. Psychometric measurement qualities of the PREMs were assessed using current COSMIN guidelines.

Results
After removal of duplicates 3,457 abstracts were screened, of which 3,345 were excluded. The remaining 112 articles contained 51 PREMs, of which 12 were either developed in (4 PREMs) or translated into German (8 PREMs). Eight PREMs were generic (NORPEQ, PPE-15, PEACS, HCAHPS, QPPS, DUQUE, PEQ-G, Schoenfelder et al.), 4 cancer care-specific (EORTC IN-PATSAT32, PSCC-G, Danish National Cancer Questionnaire, SCCC) and none was surgery-specific. None of the PREMs covered all domains of patient-centeredness. Overall rating of structural validity was adequate only for PEACS and HCAHPS. High ratings for internal consistency were given for NORPEQ, Schoenfelder et al., PSCC-G and the SCCC. Cross-cultural validity for translated questionnaires was adequate only for the PSCC-G, while reliability was adequately assessed only for the EORTC IN-PATSAT32. Due to a lack of measurement gold standard and minimal important change, criterion validity and measurement invariance could not be assessed for any of the PREMs.

Conclusion
This is the first systematic review using a comprehensive framework of patient centredness and shows that none of the included PREMs, even those translated from other languages into German, cover all aspects of patient centredness. Furthermore, all included PREMS show deficits in the results or evaluation of psychometric measurement properties. Nonetheless, based on the results, the EORTC IN-PATSAT32 and PSCC-G can be recommended for use in cancer patients in the German-language region, while the German versions of the HCAHPS, NORPEQ, PPE-15 and PEACS can be recommended as generic PREMs.

Trial Registration
Registration. PROSPERO CRD42021276827.