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Bobhate, Ankita, Piyush N. Bajare, Vinita V. Kale, Suankit A. Harane, and Milind J. Umekar. "Product Patrolling: Learning Recall execution Strategies through Case studies." International Journal of Drug Regulatory Affairs 11, no. 4 (December 16, 2023): 93–101. http://dx.doi.org/10.22270/ijdra.v11i4.641.
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There has been an increasing trend in the number of prescribed and over-the-counter drug recall over the last few years. The recall is usually due to company’s discovery, customer’s complaint or Food and Drug Administration (FDA) observation. The process of recall involves a planned specific course of action, which addresses the depth of recall, need for public warning, and the extent of effectiveness checks for the recall.This abstract explores the critical aspects of pharmaceutical drug product recalls, focusing on their classification, recall levels, and effective recall strategies. The pharmaceutical industry faces challenges in ensuring the safety and efficacy of drug products, necessitating a robust recall framework. We delve into the classification of recalls, ranging from voluntary actions to mandated recalls, emphasizing the importance of prompt and transparent communication. Recall levels, categorized based on the severity of potential health risks, are examined to provide a comprehensive understanding of the regulatory landscape. Furthermore, this abstract highlights innovative recall strategies, encompassing technology-driven traceability, stakeholder collaboration, and crisis communication. By addressing these key elements, this research contributes to enhancing the efficiency and reliability of drug product recall processes, ultimately safeguarding public health and bolstering industry resilience.
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Peters, Wesley, Carl Pellerin, and Cory Janney. "RESEARCH: Evaluation of Orthopedic Hip Device Recalls by the FDA from 2007 to 2017." Biomedical Instrumentation & Technology 54, no. 6 (November 1, 2020): 418–26. http://dx.doi.org/10.2345/0899-8205-54.6.418.
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Background: Medical device recalls have increased in the previous two decades. Orthopedic devices are estimated to constitute 12% of all medical devices recalled. Medical devices enter the market via the Food and Drug Administration's (FDA's) premarket approval (PMA) or 510(k) pathways. This article evaluates orthopedic hip device recalls between Jan. 1, 2007, and Dec. 31, 2017. We hypothesized that the 510(k) approval process would have substantially higher recall rates for defective devices. Methods: The FDA's device recall database was queried for all orthopedic hip devices from Jan. 1, 2007, to Dec. 31, 2017. Each recall included product description, recall number, device class, date of recall posting, date of recall termination, manufacturer, FDA-determined cause for recall, number of recalled units, distribution, product classification, and method of approval [510(k), PMA, or unspecified]. Results: In total, 774 orthopedic hip devices were recalled between Jan. 1, 2007, and Dec. 31, 2017. The 510(k) approval process constituted 85% of hip device recalls. The most common FDA-determined cause of hip device recalls was device design, which constituted 37% of 510(k)-approved device recalls but only 6% of PMA-approved device recalls. The most recalled hip devices were hip prostheses. Orthopedic hip device recalls have shown a decrease of about 10 recalls per year during the 11-year period of analysis. Conclusion: Devices approved through the 510(k) process, compared with the PMA process, were more likely to be recalled for design defects. Although device design is the most common reason for device recall, many recalls are due to suboptimally standardized processes (e.g., packaging, process controls, device labeling). Overall, orthopedic hip device recalls decreased during the period of analysis (2007–17).
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Osadchiy, Timur, Ivan Poliakov, Patrick Olivier, Maisie Rowland, and Emma Foster. "Progressive 24-Hour Recall: Usability Study of Short Retention Intervals in Web-Based Dietary Assessment Surveys." Journal of Medical Internet Research 22, no. 2 (February 3, 2020): e13266. http://dx.doi.org/10.2196/13266.
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Background Under-reporting because of the limitations of human memory is one of the key challenges in dietary assessment surveys that use the multiple-pass 24-hour recall. Research indicates that shortening a retention interval (ie, the time between the eating event and recall) reduces the burden on memory and may increase the accuracy of the assessment. Objective This study aimed to explore the accuracy and acceptability of Web-based dietary assessment surveys based on a progressive recall, where a respondent is asked to record multiple recalls throughout a 24-hour period using the multiple-pass protocol and portion size estimation methods of the 24-hour recall. Methods The experiment was conducted with a dietary assessment system, Intake24, that typically implements the multiple-pass 24-hour recall method where respondents record all meals they had for the previous day on a single occasion. We modified the system to allow respondents to add multiple recalls throughout the day using the multiple-pass protocol and portion size estimation methods of the 24-hour recall (progressive recall). We conducted a dietary assessment survey with 33 participants, where they were asked to record dietary intake using both 24-hour and progressive recall methods for weekdays only. We compared mean retention intervals (ie, the time between eating event and recall) for the 2 methods. To examine accuracy, we compared mean energy estimates and the mean number of reported foods. Of these participants, 23 were interviewed to examine the acceptability of the progressive recall. Results Retention intervals were found to be, on average, 15.2 hours (SD 7.8) shorter during progressive recalls than those during 24-hour recalls. We found that the mean number of foods reported for evening meals for progressive recalls (5.2 foods) was significantly higher (P=.001) than that for 24-hour recalls (4.2 foods). The number of foods and the amount of energy reported for other meals remained similar across the 2 methods. In interviews, 65% (15/23) of participants said that the 24-hour recall is more convenient in terms of fitting in with their daily lifestyles, and 65% (15/23) of respondents indicated that they remembered meal content and portion sizes better with the progressive recall. Conclusions The analysis of interviews and data from our study indicate that progressive recalls provide minor improvements to the accuracy of dietary assessment in Intake24. Additional work is needed to improve the acceptability of progressive recalls in this system.
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Gorton, Acton, and Matthew J. Stasiewicz. "Twenty-Two Years of U.S. Meat and Poultry Product Recalls: Implications for Food Safety and Food Waste." Journal of Food Protection 80, no. 4 (March 15, 2017): 674–84. http://dx.doi.org/10.4315/0362-028x.jfp-16-388.
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ABSTRACT The U.S. Department of Agriculture, Food Safety and Inspection Service maintains a recall case archive of meat and poultry product recalls from 1994 to the present. In this study, we collected all recall records from 1994 to 2015 and extracted the recall date, meat or poultry species implicated, reason for recall, recall class, and pounds of product recalled and recovered. Of a total of 1,515 records analyzed, the top three reasons for recall were contamination with Listeria, undeclared allergens, and Shiga toxin–producing Escherichia coli. Class I recalls (due to a hazard with a reasonable probability of causing adverse health consequences or death) represented 71% (1,075 of 1,515) of the total recalls. The amounts of product recalled and recovered per event were approximately lognormally distributed. The mean amount of product recalled and recovered was 6,800 and 1,000 lb (3,087 and 454 kg), respectively (standard deviation, 1.23 and 1.56 log lb, respectively). The total amount of product recalled in the 22-year evaluation period was 690 million lb (313 million kg), and the largest single recall involved 140 million lb (64 million kg) (21% of the total). In every data category subset, the largest recall represented >10% of the total product recalled in the set. The amount of product recovered was known for only 944 recalls. In 12% of those recalls (110 of 944), no product was recovered. In the remaining recalls, the median recovery was 29% of the product. The number of recalls per year was 24 to 150. Recall counts and amounts of product recalled over the 22-year evaluation period did not regularly increase by year, in contrast to the regular increase in U.S. meat and poultry production over the same time period. Overall, these data suggest that (i) meat and poultry recalls were heavily skewed toward class I recalls, suggesting recalls were focused on improving food safety, (ii) numbers of products and amounts of each product recalled were highly variable but did not increase over time, and (iii) the direct contribution of recalls to the food waste stream was associated with the largest recalls.
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Huh, Kyungok, and Chul Choi. "Product Recall Policies and Their Improvement in Korea." Management and Production Engineering Review 7, no. 4 (December 1, 2016): 39–47. http://dx.doi.org/10.1515/mper-2016-0034.
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Abstract This article aims to investigate recall policies for product safety in Korea and make suggestions for future improvements. Problematic issues in current recall policies are reviewed and analyzed. Based on survey results and previous studies, this article discusses the consumer perception of a recall. Consumers tend to regard a recall as a signal of poor quality. Furthermore, regulatory differences and weak penalties remain as obstacles to improving the recall system. Suggestions for the betterment of recall policies are derived from consultations with an expert panel and the application of other appropriate methods. At first, despite an increasing number of recall cases in Korea, it turns out that consumers are not highly sensitive to recalls, although their perceptions are mostly negative. Secondly, regulatory inconsistencies and difference problems are primarily attributable to the existence of many separate rules and regulations by product category. Thirdly, the information concerning recalls is limited, which creates an inefficient environment in which manufacturers are reluctant to voluntarily recall a defective product and consumer participation rates are too low. Therefore, the government should induce consumers to have more positive perceptions of recalls whilst concurrently reinforcing the related rules and regulations in accordance with international standards.
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Hao, Hao, Yichen Sun, Xueyun Mei, and Yanjun Zhou. "Reverse Logistics Network Design of Electric Vehicle Batteries considering Recall Risk." Mathematical Problems in Engineering 2021 (August 18, 2021): 1–16. http://dx.doi.org/10.1155/2021/5518049.
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In 2018-2019, the recall scale of electric vehicles (EVs) in China reached 168,700 units; recalls account for approximately 6.9% of sales volume. There are imperative reasons for electric vehicle batteries (EVBs) recalls, such as mandatory laws or policies, safety and environmental pollution risks, and the high value of EVB echelon use, and thus, it has become increasingly important to reasonably design a reverse logistics (RL) network for an EVB recall. In this study, a multiobjective and multiperiod recall RL network model is developed to minimize safety and environmental risks, maximize the social responsibility and economic benefits, and consider the characteristics of EVBs, including the configuration of key recall facilities and the control of recall flows. The results of this study will help EVB practitioners, relevant departmental policymakers, and others to comprehensively understand the recall of EVBs, strengthen the safety and environmental protection issues in the EVB recall process, and promote the establishment of a safe, green, and sustainable EVB recall RL network.
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Muralidharan, Etayankara, Hari Bapuji, and Manpreet Hora. "The more I err, the less I pay." European Journal of Marketing 53, no. 5 (May 13, 2019): 916–43. http://dx.doi.org/10.1108/ejm-12-2017-0964.
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Purpose This study aims to investigate the effects of firm characteristics and crisis characteristics on remedies offered to consumers by firms in the event of a product recall crisis. Design/methodology/approach Published data on 868 product recalls in the US toy industry from 1988 to 2011 have been used to investigate the effects of firm experience in product recalls, type of firm (company versus intermediary) and product recall severity in predicting remedies offered to consumers in the event of a product recall. Findings The findings show that firm recall experience, firm type and recall severity are negatively associated with recall remedies offered. Specifically, firms offer lower remedies if they have higher recall experience, if they are upstream firms in the supply chain (farther from consumers) and if the recall is more severe. Research limitations/implications This study focuses on the toy industry and does not consider product complexity, firm reputation and the role of external regulatory agencies in the prediction of remedies offered by firms. Future research may extend this study to include the above factors. Practical implications Offering a high remedy to consumers of a recalled product may be a responsible decision by a firm, but it may also attract shareholder wrath. The study has implications for managing multiple goals in product recall crisis management. Originality/value Studies focused on issues of interest to consumers during a recall crisis, such as swift recalls and appropriate remedies, are limited. This study contributes to the understanding of the antecedents of recall remedies.
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Kadakia, Kushal T., Sanket S. Dhruva, César Caraballo, Joseph S. Ross, and Harlan M. Krumholz. "Use of Recalled Devices in New Device Authorizations Under the US Food and Drug Administration’s 510(k) Pathway and Risk of Subsequent Recalls." JAMA 329, no. 2 (January 10, 2023): 136. http://dx.doi.org/10.1001/jama.2022.23279.
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ImportanceIn the US, nearly all medical devices progress to market under the 510(k) pathway, which uses previously authorized devices (predicates) to support new authorizations. Current regulations permit manufacturers to use devices subject to a Class I recall—the FDA’s most serious designation indicating a high probability of adverse health consequences or death—as predicates for new devices. The consequences for patient safety are not known.ObjectiveTo determine the risk of a future Class I recall associated with using a recalled device as a predicate device in the 510(k) pathway.Design and SettingIn this cross-sectional study, all 510(k) devices subject to Class I recalls from January 2017 through December 2021 (index devices) were identified from the FDA’s annual recall listings. Information about predicate devices was extracted from the Devices@FDA database. Devices authorized using index devices as predicates (descendants) were identified using a regulatory intelligence platform. A matched cohort of predicates was constructed to assess the future recall risk from using a predicate device with a Class I recall.Main Outcomes and MeasuresDevices were characterized by their regulatory history and recall history. Risk ratios (RRs) were calculated to compare the risk of future Class I recalls between devices descended from predicates with matched controls.ResultsOf 156 index devices subject to Class I recall from 2017 through 2021, 44 (28.2%) had prior Class I recalls. Predicates were identified for 127 index devices, with 56 (44.1%) using predicates with a Class I recall. One hundred four index devices were also used as predicates to support the authorization of 265 descendant devices, with 50 index devices (48.1%) authorizing a descendant with a Class I recall. Compared with matched controls, devices authorized using predicates with Class I recalls had a higher risk of subsequent Class I recall (6.40 [95% CI, 3.59-11.40]; P<.001).Conclusions and RelevanceMany 510(k) devices subjected to Class I recalls in the US use predicates with a known history of Class I recalls. These devices have substantially higher risk of a subsequent Class I recall. Safeguards for the 510(k) pathway are needed to prevent problematic predicate selection and ensure patient safety.
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Eilert, Meike, Satish Jayachandran, Kartik Kalaignanam, and Tracey A. Swartz. "Does it Pay to Recall your Product Early? An Empirical Investigation in the Automobile Industry." Journal of Marketing 81, no. 3 (May 2017): 111–29. http://dx.doi.org/10.1509/jm.15.0074.
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Defective products are often recalled to limit harm to consumers and damage to the firm. However, little is known about why the timing of product recalls varies after an investigation is opened. Likewise, there is little evidence on whether recall timing affects stock markets. This study tests the effect of problem severity on time to recall, the role of brand characteristics in moderating this relationship, and the stock market impact of time to recall. The authors test the hypotheses on a sample of 381 recall investigations in the automobile industry between 1999 and 2012. The results show that although problem severity increases time to recall, this relationship is weaker when the brand under investigation (1) has a strong reputation for reliability and (2) has experienced severe recalls in the recent past. However, the relationship between problem severity and time to recall is stronger when the brand is diverse. Importantly, the results reveal that stock markets punish recall delays. The study suggests that time to recall has significant implications for managers and policy makers.
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Dewianawati, Dwi. "PENARIKAN MEREK PRODUK: EFEK INDUSTRI, STRATEGI PENARIKAN DAN BAHAYA PADA KEKAYAAN PEMEGANG SAHAM." Media Mahardhika 18, no. 3 (May 22, 2020): 521–35. http://dx.doi.org/10.29062/mahardika.v18i3.214.
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The purpose of this paper is to provide insight into the impact of product recalls on manufacturing company shareholders in various supply chains. Previous research investigating this phenomenon was dominated by sectoral units and/or did not recognize threat interactions, policy recalls and sectors. Using the case study process, the study explored investor responses to key market product recall characteristics, recall policies and hazard levels, in a cross-industry survey of 295 product recall notices. The findings revealed a strong negative response from the share price to product recalls and a significant variation between the type of business and its level of danger. More controlled and tighter supply chains, such as the car and pharmaceutical markets, have shown statistically substantial share price declines. The findings suggest that the business sector and the level of harm associated with defective goods are major factors affecting the shareholders of manufacturing companies. Contrary to some reports, the effects of the recall policy have not been verified, although the recall campaign has proactively, in some cases, contributed to the rise in the share price. This study will further benefit from a more thorough investigation of recall strategies on business assessments in certain industries, especially those vulnerable to regular and expensive product recalls.
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Sanchez, Emily, Ryan B. Simpson, Yutong Zhang, Lauren E. Sallade, and Elena N. Naumova. "Exploring Risk Factors of Recall-Associated Foodborne Disease Outbreaks in the United States, 2009–2019." International Journal of Environmental Research and Public Health 19, no. 9 (April 19, 2022): 4947. http://dx.doi.org/10.3390/ijerph19094947.
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Earlier identification and removal of contaminated food products is crucial in reducing economic burdens of foodborne outbreaks. Recalls are a safety measure that is deployed to prevent foodborne illnesses. However, few studies have examined temporal trends in recalls or compared risk factors between non-recall and recall outbreaks in the United States, due to disparate and often incomplete surveillance records in publicly reported data. We demonstrated the usability of the electronic Foodborne Outbreak Reporting System (eFORS) and National Outbreak Reporting System (NORS) for describing temporal trends and outbreak risk factors of food recalls in 1998–2019. We examined monthly trends between surveillance systems by using segmented time-series analyses. We compared the risk factors (e.g., multistate outbreak, contamination supply chain stage, pathogen etiology, and food products) of recalls and non-recalls by using logistic regression models. Out of 22,972 outbreaks, 305 (1.3%) resulted in recalls and 9378 (41%) had missing recall information. However, outbreaks with missing recall information decreased at an accelerating rate of ~25%/month in 2004–2009 and at a decelerating rate of ~13%/month after the transition from eFORS to NORS in 2009–2019. Irrespective of the contaminant etiology, multistate outbreaks according to the residence of ill persons had odds 11.00–13.50 times (7.00, 21.60) that of single-state outbreaks resulting in a recall (p < 0.001) when controlling for all risk factors. Electronic reporting has improved the availability of food recall data, yet retrospective investigations of historical records are needed. The investigation of recalls enhances public health professionals’ understanding of their annual financial burden and improves outbreak prediction analytics to reduce the likelihood and severity of recalls.
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Miller, Jonathan F., Christoph T. Weidemann, and Michael J. Kahana. "Recall termination in free recall." Memory & Cognition 40, no. 4 (January 31, 2012): 540–50. http://dx.doi.org/10.3758/s13421-011-0178-9.
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HANSON, HEATHER, VASUDHA REDDY, MELISSA BAUER, STEPHEN STICH, LARA KIDOGUCHI, JOHN LUKER, KIM SEBEK, ERIN SAWYER, and SHARON BALTER. "Evaluating the Effectiveness of Food Recalls in Retail Establishments in New York City." Journal of Food Protection 74, no. 1 (January 1, 2011): 111–14. http://dx.doi.org/10.4315/0362-028x.jfp-10-222.
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Information on how promptly food recalls of U.S. Food and Drug Administration (FDA)–regulated products are disseminated to retailers is not well documented. Store managers were surveyed after recalls were declared to estimate the proportion aware of a recall, to describe the methods by which they learned of the recall, and to ascertain how they would prefer to be notified of recalls in the future. From 1 January 2008 to 31 December 2009, we identified FDA Class I products recalled because of potential contamination with an infectious agent such as Salmonella, which were sold in New York City. After each recall, a sample of retailers who carried the products was contacted, a standardized questionnaire was administered to store managers, and a sample of stores was inspected to determine if the product had been removed. Among nine recalls evaluated, 85% (range, 12 to 100%) of managers were aware of the recall affecting a product at their store. Chain store managers were more aware of recalls than were independent store managers (93 versus 78%, P < 0.0001). More chain store managers first heard about the recall via e-mail as compared with independent store managers (35 versus 4%, P < 0.0001). E-mail notification was preferred by large chain store managers (38 versus 8%, P < 0.0001); on inspection, chain stores were more likely to have removed the item than were independent stores (85 versus 56%, P = 0.0071). Although recall information reaches many stores, faster electronic notifications are not effective at reaching small, independent stores, which may lack computers or fax machines. Alternate means to disseminate recall notifications rapidly are needed for stores without electronic communication capabilities.
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Everhart, Alexander O., Soumya Sen, Ariel D. Stern, Yi Zhu, and Pinar Karaca-Mandic. "Association Between Regulatory Submission Characteristics and Recalls of Medical Devices Receiving 510(k) Clearance." JAMA 329, no. 2 (January 10, 2023): 144. http://dx.doi.org/10.1001/jama.2022.22974.
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ImportanceMost regulated medical devices enter the US market via the 510(k) regulatory submission pathway, wherein manufacturers demonstrate that applicant devices are “substantially equivalent” to 1 or more “predicate” devices (legally marketed medical devices with similar intended use). Most recalled medical devices are 510(k) devices.ObjectiveTo examine the association between characteristics of predicate medical devices and recall probability for 510(k) devices.Design, Setting, and ParticipantsIn this exploratory cross-sectional analysis of medical devices cleared by the US Food and Drug Administration (FDA) between 2003 and 2018 via the 510(k) regulatory submission pathway, linear probability models were used to examine associations between a 510(k) device’s recall status and characteristics of its predicate medical devices. Public documents for the 510(k) medical devices were collected using FDA databases. A text extraction algorithm was applied to identify predicate medical devices cited in 510(k) regulatory submissions. Algorithm-derived metadata were combined with 2003-2020 FDA recall data.ExposuresCitation of predicate medical devices with certain characteristics in 510(k) regulatory submissions, including the total number of predicate medical devices cited by the applicant device, the age of the predicate medical devices, the lack of similarity of the predicate medical devices to the applicant device, and the recall status of the predicate medical devices.Main Outcomes and MeasuresClass I or class II recall of a 510(k) medical device between its FDA regulatory clearance date and December 31, 2020.ResultsThe sample included 35 176 medical devices, of which 4007 (11.4%) were recalled. The applicant devices cited a mean of 2.6 predicate medical devices, with mean ages of 3.6 years and 7.4 years for the newest and oldest, respectively, predicate medical devices. Of the applicant devices, 93.9% cited predicate medical devices with no ongoing recalls, 4.3% cited predicate medical devices with 1 ongoing class I or class II recall, 1.0% cited predicate medical devices with 2 ongoing recalls, and 0.8% cited predicate medical devices with 3 or more ongoing recalls. Applicant devices citing predicate medical devices with 3 or more ongoing recalls were significantly associated with a 9.31–percentage-point increase (95% CI, 2.84-15.77 percentage points) in recall probability compared with devices without ongoing recalls of predicate medical devices, or an 81.2% increase in recall probability relative to the mean recall probability. A 1-SD increase in the total number of predicate medical devices cited by the applicant device was significantly associated with a 1.25–percentage-point increase (95% CI, 0.62-1.87 percentage points) in recall probability, or an 11.0% increase in recall probability relative to the mean recall probability. A 1-SD increase in the newest age of a predicate medical device was significantly associated with a 0.78–percentage-point decrease (95% CI, 1.29-0.30 percentage points) in recall probability, or a 6.8% decrease in recall probability relative to the mean recall probability.Conclusions and RelevanceThis exploratory cross-sectional study of 510(k) medical devices cleared by the FDA between 2003 and 2018 demonstrated significant associations between 510(k) submission characteristics and recalls of medical devices. Further research is needed to understand the implications of these associations.
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Byun, Kyung-Ah, and Mayukh Dass. "An investigation of the effects of product recalls on brand commitment and purchase intention." Journal of Consumer Marketing 32, no. 1 (January 12, 2015): 1–14. http://dx.doi.org/10.1108/jcm-06-2014-1000.
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Purpose – The purpose of this study is to examine how product recalls affect brand commitment and post-recall purchase intention. Design/methodology/approach – The role of consumer and product recall characteristics based on attribution theory is tested using data collected through experiments and analyzed using a type of finite mixture model. Findings – Results indicate varying effects of product recalls on commitment across these four customer groups and a strong effect of affective commitment on post-recall purchase behavior. Originality/value – This paper proposes four types of consumers based on dichotomous levels of affective and calculative commitment, namely, Hard Cores, Don’t-Cares, Lovers and Rationalists, and shows how product recalls affect these consumer groups differently, and how this information assists brand managers in developing post-product recall consumer management strategies.
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Hu, Haiju, Ramdane Djebarni, Xiande Zhao, Liwei Xiao, and Barbara Flynn. "Effect of different food recall strategies on consumers’ reaction to different recall norms." Industrial Management & Data Systems 117, no. 9 (October 16, 2017): 2045–63. http://dx.doi.org/10.1108/imds-10-2016-0464.
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Purpose Using the combined theoretical umbrella of organizational legitimacy theory, service-dominant logic, fairness heuristic theory and two-factor theory, the purpose of this paper is to investigate the effectiveness of different food recall strategies (recall proactiveness and compensation) in terms of both how consumers react (perceived organizational legitimacy and purchase intention) and how recall norms would influence the effectiveness in three countries. In addition to the reporting of important results, this paper provides implications for food companies to handle effectively the recalls, especially when the recalls are cross-country. Design/methodology/approach A 2 compensation (high vs low) ×2 recall strategy (proactive vs passive) scenario experiment was conducted in Hong Kong, the USA and Mainland China. After checking the effectiveness of manipulation, the paper tested the main effect and interaction effect of recall proactiveness and compensation on perceived organizational legitimacy and purchase intention. In addition, the mediating effect of perceived organizational legitimacy between recall strategies and purchase intention was also tested. Findings Significant main effect, interaction and mediation effect were found across the three countries with a different pattern. For the USA and Mainland China which have strong recall norms, the interaction found followed the predictions of the two-factory theory. However, the pattern found in Hong Kong, which has weak recall norms, followed the predictions of the fairness heuristic theory. Full mediation effect of perceived organizational legitimacy between compensation and purchase intention was found in the USA and Mainland China, while it was only partial in Hong Kong. For the mediation between proactiveness and purchase intention, full mediation was found in Hong Kong and the USA, while it was only partial in Mainland China. Originality/value First, this study differentiated food recall strategy into two dimensions – recall proactiveness and compensation. Second, this study tested the applicability of two-factor theory and fairness heuristic theory in recalls by testing the competing hypotheses proposed according to the two theories. Finally, this study can further help our understanding of the recall effectiveness across different recall norms.
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Morizio, Paige L., Sara R. Britnell, and Andreina A. Ottman. "Impact of national valsartan recalls on Veterans’ outcomes." Therapeutic Advances in Drug Safety 12 (January 2021): 204209862110161. http://dx.doi.org/10.1177/20420986211016173.
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Background and Aims: Chemical impurities discovered in angiotensin receptor blocker (ARB) products in late 2018–2019 resulted in recalls of various products and has likely had downstream effects for patients and prescribers. The purpose of this study is to determine how the valsartan recall impacted clinical endpoints and prescribing of antihypertensives. Methods: This was a retrospective, single-center, cohort study including patients receiving recalled valsartan with essential hypertension who were mailed a recall letter on 12 March 2019. Mean blood pressure endpoints were collected 6 months before (pre-recall) and after the recall letter was mailed (post-recall). Antihypertensive medication changes and titrations were also characterized post-recall. Results: A total of 300 patients meeting eligibility criteria were included. There was no statistically significant difference in mean systolic blood pressure (SBP) or diastolic blood pressure (DBP) when pre- and post-recall blood pressures were compared (SBP: 137.2 mmHg versus 135.8 mmHg, p = 0.125; DBP: 78.6 mmHg versus 78.5 mmHg, p = 0.900). In addition, the percentage of patients with controlled blood pressure readings was similar in the pre- and post-recall timeframes (28% versus 27%, p = 0.72). A total of 33 medication changes involving valsartan occurred, with approximately one-third being changed to another ARB ( n = 11) or drug class ( n = 12). In total, 11 valsartan medication changes were specifically documented to be related to the valsartan recall. Conclusion: The results of this study indicate the valsartan recalls that occurred in 2019 did not significantly impact the clinical outcomes of the studied population. Plain Language Summary Impact of a medication recall on Veterans’ outcomes Background: Chemical impurities discovered in a class of blood pressure medications known as angiotensin receptor blockers (ARBs) occurred in late 2018–2019. This resulted in recalls of various products and has likely had downstream effects for patients and prescribers. Objective: The purpose of this study is to determine how the recall of valsartan, which is a medication in the ARB class, impacted clinical endpoints and prescribing of medications for blood pressure. Methods: This was a retrospective, single-center, cohort study including patients receiving recalled valsartan with high blood pressure who were mailed a recall letter on 12 March 2019. Blood pressure endpoints were collected 6 months before (pre-recall) and after the recall letter was mailed (post-recall). Medication changes and titrations were also characterized post-recall. Results: Three hundred patients meeting eligibility criteria were included. There was no difference found in systolic blood pressure (SBP) or diastolic blood pressure (DBP) when pre- and post-recall blood pressures were compared (SBP: 137.2 mmHg versus 135.8 mmHg; DBP: 78.6 mmHg versus 78.5 mmHg). In addition, the percent of patients with controlled blood pressure readings was similar in the pre- and post-recall timeframes (28% versus 27%). A total of 33 medication changes involving valsartan occurred, with approximately one-third being changed to another ARB ( n = 11) or drug class ( n = 12). Eleven valsartan medication changes were specifically documented to be related to the valsartan recall. Conclusions: The results of this study indicate the valsartan recalls that occurred in 2019 did not significantly impact the clinical outcomes of the studied population.
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Kumar, Vijay. "Product Recalls in European Textile and Clothing Sector—A Macro Analysis of Risks and Geographical Patterns." Stats 5, no. 4 (October 31, 2022): 1044–61. http://dx.doi.org/10.3390/stats5040062.
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Textile and clothing (T&C) products contribute to a substantial proportion of the nonfood product recalls in the European Union (EU) due to various levels of associated risks. Out of the listed 34 categories for product recalls in the EU’s Rapid Exchange of Information System (RAPEX), the category ‘clothing, textiles, and fashion items’ was among the top 3 categories with the most recall cases during 2013–2019. Previous studies have attempted to highlight the issue of product recalls and their impacts from the perspective of a single company or selected companies, whereas limited attention is paid to understand the problem from a sector-specific perspective. However, considering the nature of product risks and the consistency in a higher number of recall cases, it is important to analyze the issue of product recalls in the T&C sector from a sector-specific perspective. In this context, the paper focuses on investigating the past recalls in the T&C sector reported RAPEX during 2005–2021 to understand the major trends in recall occurrence and associated hazards. Correspondence Analysis (CA) and Latent Dirichlet Allocation (LDA) were applied to analyze the qualitative and quantitative recall data. The results reveal that there is a geographical pattern for the product risk that leads to the recalls. The countries in eastern part of Europe tend to have proportionately high recalls in strangulation and choking-related issues, whereas chemical-related recalls are proportionately high in countries located in western part of Europe. Further, text-mining results indicate that design-related recall issues are more prevalent in children’s clothing.
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Alqemlas, Ibrahim, Sneha Shankar, Winode Handagama, and P. Arthur Felse. "A cross-sectional study of prevalence, distribution, cause, and impact of blood product recalls in the United States." Blood Advances 4, no. 8 (April 28, 2020): 1780–91. http://dx.doi.org/10.1182/bloodadvances.2019001024.
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Abstract Defective blood products that are recalled because of safety or potency deviations can trigger adverse health events and constrict the nation’s blood supply chain. However, the underlying characteristics and impact of blood product recalls are not fully understood. In this study, we identified 4700 recall events, 7 reasons for recall, and 144 346 units affected by recalls. Using geospatial mapping of the newly defined county-level recall event density, we discovered hot spots with high prevalence and likelihood of blood product recall events. Distribution patterns and distribution distances of recalled blood products vary significantly between product types. Blood plasma is the most recalled product (87 980 units), and leukocyte-reduced products (34 230 units) are recalled in larger numbers than non-leukocyte-reduced products (8076 units). Donor-related reasons (92 382 units) and sterility deviations (22 408 units) are the major cause of blood product recalls. Monetary loss resulting from blood product recalls is estimated to be $17.9 million, and economic sensitivity tests show that donor-related reasons and sterility deviations contribute most to the overall monetary burden. A total of 2.8 million days was required to resolve recall events, and probabilistic survival time analysis shows that sterility deviations and contamination took longer to resolve because of their systemic effect on blood collection and processing. Our studies demonstrate that better donor screening procedures, rigorous sterility requirements, improved containment methods, and mitigation of recall events in high-prevalence regions will enable a more robust blood supply chain.
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Nusser, Sarah M., Nicholas K. Beyler, Gregory J. Welk, Alicia L. Carriquiry, Wayne A. Fuller, and Benjamin M. N. King. "Modeling Errors in Physical Activity Recall Data." Journal of Physical Activity and Health 9, s1 (January 2012): S56—S67. http://dx.doi.org/10.1123/jpah.9.s1.s56.
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Background:Physical activity recall instruments provide an inexpensive method of collecting physical activity patterns on a sample of individuals, but they are subject to systematic and random measurement error. Statistical models can be used to estimate measurement error in activity recalls and provide more accurate estimates of usual activity parameters for a population.Methods:We develop a measurement error model for a short-term activity recall that describes the relationship between the recall and an individual’s usual activity over a long period of time. The model includes terms for systematic and random measurement errors. To estimate model parameters, the design should include replicate observations of a concurrent activity recall and an objective monitor measurement on a subsample of respondents.Results:We illustrate the approach with preliminary data from the Iowa Physical Activity Measurement Study. In this dataset, recalls tend to overestimate actual activity, and measurement errors greatly increase the variance of recalls relative to the person-to-person variation in usual activity. Statistical adjustments are used to remove bias and extraneous variation in estimating the usual activity distribution.Conclusions:Modeling measurement error in recall data can be used to provide more accurate estimates of long-term activity behavior.
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Steven, Adams B. "Supply Chain Structure, Product Recalls, and Firm Performance: Empirically Investigating Recall Drivers and Recall Financial Performance Relationships." Decision Sciences 46, no. 2 (April 2015): 477–83. http://dx.doi.org/10.1111/deci.12135.
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Muralidharan, Etayankara Katangote, and Hari Bapuji. "Managing Product Recalls-Factors that Influence Time to Recall." Academy of Management Proceedings 2012, no. 1 (July 2012): 16474. http://dx.doi.org/10.5465/ambpp.2012.16474abstract.
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Di Cagno, Daniela, Tibor Neugebauer, Carlos Rodriguez-Palmero, and Abdolkarim Sadrieh. "Recall searching with and without recall." Theory and Decision 77, no. 3 (June 7, 2014): 297–311. http://dx.doi.org/10.1007/s11238-014-9444-1.
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Guilherme Pulita, João, Helena Canesin, Lucas Lima de Oliveira, Andrea Lago da Silva, and Carla Roberta Pereira. "The Role of Traceability in Food Recall Management: A Systematic Literature Review." Revista Gestão da Produção Operações e Sistemas 17, no. 2 (June 12, 2022): 86–110. http://dx.doi.org/10.15675/gepros.v17i2.2881.
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Purpose - A gap has been observed regarding the use of traceability in the context of risk management in food supply chains. Recent studies on product recalls mostly focus on durable goods, while research aimed at risk management in food recalls is scarce. The aim of this study is to understand how traceability influences food recall management. Theoretical framework - Initially, the fundamental concepts of food traceability, its objective and impacts on supply chains were defined. Then, its relationship with food recalls was described. Design/methodology/approach - A systematic literature review (SLR) was conducted. A total of 75 selected articles were submitted to content analysis using QDA Miner software. Findings - Ten main applications of traceability in food chains (emphasizing the role of transparency) and three groups of risks were identified that lead to the occurrence of food recalls (operational, biological, and chemical). Finally, the role of traceability before (preparation stage - proactive nature), during (response stage), and after (recovery stage) the occurrence of a food recall was determined. Research, practical & social implications - The results provide a better understanding of the role of traceability in food recall management. Originality/value - The article summarizes ten different applications of traceability in the food chain, in addition to explaining the role of traceability in the different stages of food recall management. Keywords - Traceability. Recall. Supply Chain. Food.
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Seys, Scott A., Fernando Sampedro, and Craig W. Hedberg. "Assessment of Meat and Poultry Product Recalls Due to Salmonella Contamination: Product Recovery and Illness Prevention." Journal of Food Protection 80, no. 8 (July 12, 2017): 1288–92. http://dx.doi.org/10.4315/0362-028x.jfp-16-424.
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ABSTRACT Data from the recalls of meat and poultry products from 2000 through 2012 due to Salmonella contamination were used to assess the factors associated with the recovery of the recalled product and to develop quantitative models to estimate the number of illnesses prevented by recalls. The percentage of product recovered following a recall action was not dependent on establishment size, recall expansions, complexity of the distribution chain, type of distribution, amount of time between the production and recall dates, or number of pounds of product recalled. However, illness-related recalls were associated with larger amounts of recalled product, smaller percentages of recalled product recovered, a greater number of days between the production date and recall date, and nationwide distribution than were recalls that were not illness related. In addition, the detection of recall-associated illnesses appeared to be enhanced in states with strong foodborne illness investigation systems. The number of Salmonella illnesses prevented by recalls was based on the number of illnesses occurring relative to the number of pounds consumed, which was then extrapolated to the number of pounds of recalled product recovered. A simulation using a program evaluation and review technique probability distribution with illness-related recalls from 2003 through 2012 estimated that there were 19,000 prevented Salmonella illnesses, after adjusting for underdiagnosis. Recalls not associated with illnesses from 2000 through 2012 prevented an estimated additional 8,300 Salmonella illnesses, after adjusting for underdiagnosis. Although further improvements to ensure accurate and complete reporting should be undertaken, our study demonstrates that recalls are an important tool for preventing additional Salmonella illnesses. Moreover, additional training resources dedicated to public health agencies for enhancing foodborne illness detection, investigations, and rapid response and reporting would further prevent illnesses.
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YU, JIANBIN, and NEAL H. HOOKER. "Assessing the Impact of Retailer Disclosure on the Effectiveness of U.S. Meat and Poultry Recalls." Journal of Food Protection 83, no. 12 (July 14, 2020): 2095–101. http://dx.doi.org/10.4315/jfp-20-006.
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ABSTRACT In August 2008, the Food Safety and Inspection Service of the U.S. Department of Agriculture (USDA) launched a new policy that required publication of a list of retail consignees for the meat and poultry products part of class I recalls, those with the greatest potential impact on public health. In this study, two recall effectiveness measures (recovery rate and completion time) and a difference-in-difference method were used to examine the effects of retailer disclosures. When controlling for factors previously determined to impact recall effectiveness, including product type, reasons for recall, the amount of food recalled, plant size, and the way the problem was discovered, no significant impact on recall effectiveness was discerned under the current disclosure policy. Recalls for bacterial contamination had higher recovery rates. Larger recalls had lower recovery rates and longer completion times. Recalls issued by very small plants had lower recovery rates. Compared with other stakeholders, government agency discovery of the problem was associated with lower recovery rates. As the U.S. Food and Drug Administration considers a similar retailer disclosure policy for foods regulated under the Food Safety Modernization Act, such lessons from the USDA experience should inform the policy debate. HIGHLIGHTS
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Correa Lizarazo, Diana Ximena, Paola Aurora Fano Castro, Cristina Lopez, Paula Josefa Ramirez Garcia, Ricardo Molins, and Timothy J. Herrman. "Manual of Good Practices for Food or Feed Recalls." Journal of Regulatory Science 2, no. 1 (December 19, 2014): 28–35. http://dx.doi.org/10.21423/jrs.regsci.2114.
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Product recall is a fundamental food safety risk management tool. The key to successful implementation of a recall is recognizing the importance of shared responsibility between government/competent authority and industry. Within the recall process, the main objective for the competent authority is to protect public health by ensuring the rapid removal of unsafe foods or feeds from the market. To address the impact of a globalized food supply on the facilitation of recalls, competent authorities around the world have adopted regulations addressing product tracing through the food supply chain, clarifying responsibilities within the recall process, mandatory recall authority for food safety agencies, and disposal of contaminated products. During the recall process, the key areas in which the competent authority plays a vital role include: Communication; Coordination, Initiation and Completion of the Recall Process; Evaluation of Effectiveness of the Recall Process; Data collection, and Providing Guidance and Training to Industry and other Stakeholders.
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Navaratnarajah, Sambavi, Riya Basu, and Syed Rashid. "The effectiveness of community treatment orders (CTOS) across Birmingham and Solihull Mental Health Foundation Trust (BSMHFT)." BJPsych Open 7, S1 (June 2021): S94—S95. http://dx.doi.org/10.1192/bjo.2021.284.
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AimsTo ascertain if CTOs ensure that patients are effectively treated in the community and maintain stability in their mental health.If a patient requires recall(+/- revocation) that this is done in a timely fashion in according to the 1983 Mental Health Act.BackgroundA number of studies have been inconclusive in determining the benefits of CTOs in reducing the re-admissions of “revolving door” patients In Assertive Outreach (AO). It is felt that CTOs have reduced readmission of patients due to the intensive input from community teams, decreased recall and subsequent revocation. Those admitted are thought to require fewer inpatient days. It is clear that many patients who require recall following non-engagement, non-compliance, will accept medication following RC review. However at present in BSMHFT patients can only be recalled if they are allocated a bed. Due to the national bed shortage, this has resulted in delays following decision to recall and thus early and effective treatment for patients. In this aspect it defeats the role of the CTO as per the 2007 MHA.MethodCTO data from 1st April 2018 to 31st March 2019 was obtained from all 6 AOT's in BSMHFT. The following factors were considered; 1.Time between decision to recall by RC and recall to inpatient facility2.Number of recalls converted to revocations3.Number of inpatient bed days if revoked4.Number of admissions on CTO5.Patient/family agreement of CTOResult98 CTO patients were recorded over this period. 19 out of 26 recalls had recall dates documented. 10 recalls were revoked due to relapse of mental illness. Average days from RC recall decision to actual recall or cancellation was 63.89 days. Main reasons for delay were bed unavailability and execution of warrant.Following revocation, average inpatient bed days was 103.71. 41% of families agreed with CTOs, 36% of patients contested their CTO.ConclusionOver a quarter of patients on CTO were recalled to hospital however, less than half of these had their CTO revoked. The remainder accepted treatment following urgent community review whilst on the bed list. Evidently the majority of patients didn't need admission. With the ongoing bed crisis, alternative avenues need to be sought to ensure prompt treatment and prevent relapse.A CTO suite designed for recall could be the solution for the future.
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Hughes, Ashley R., Suzanne S. Summer, Nicholas J. Ollberding, Laura A. Benken, and Heidi J. Kalkwarf. "Comparison of an interviewer-administered with an automated self-administered 24 h (ASA24) dietary recall in adolescents." Public Health Nutrition 20, no. 17 (September 11, 2017): 3060–67. http://dx.doi.org/10.1017/s1368980017002269.
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AbstractObjectiveThe current pilot study aimed to assess whether reporting quality would decline materially in adolescents completing weekly web-based Automated Self-Administered 24-Hour dietary recalls (ASA24-Kids-2014) and interviewer-administered 24 h dietary recalls for six weeks. We also aimed to assess method preference.DesignWe conducted two studies. Study 1 (n 20) randomized participants to complete either one ASA24-Kids-2014 or one interviewer-administered recall weekly, for six weeks. Energy intake and number of foods reported were described for each method over time. Differences between recall methods for each measure were tested using mixed-effects regression. Study 2 (n 10) employed a randomized crossover design to describe method preference.SettingDietary intake was collected either by telephone (interviewer-administered dietary recalls) or via the Internet (ASA24-Kids-2014 dietary recalls).SubjectsAdolescents aged 12–17 years with no prior diet recording experience were enrolled.ResultsIn Study 1, mean (sd) total energy and number of foods reported decreased by 50 (222) kJ (12 (53) kcal) and 0·05 (0·31) items v. 38 (138) kJ (9 (33) kcal) and 0·17 (0·14) items per recall for participants randomized to the ASA24-Kids-2014 v. interviewer-administered recalls, respectively. There was no difference between groups for either measure (P > 0·57). In Study 2, eight of ten participants preferred the interviewer-administered recall over the ASA24-Kids-2014. Overall, seven of twenty participants experienced technical difficulties with the ASA24-Kids-2014.ConclusionsNo appreciable decay in reporting quality was seen for either method. However, participants reported a preference for the interviewer-administered recall. Our findings can help inform and support larger studies to further characterize the performance of the ASA24 in adolescents.
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Unger, Sanne, and Alanna Lecher. "How Assessment Choice Affects Student Perception and Performance." Journal of Effective Teaching in Higher Education 7, no. 1 (June 17, 2024): 78–95. http://dx.doi.org/10.36021/jethe.v7i1.309.
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Abstract. This action research project examined the effect of student assessment choice on grades and course evaluations, the two assessment options being a reading quiz or a two-minute video recording of themselves recalling what they could about the text (a “recall”). In the baseline condition (year 1), students were encouraged to complete recall videos about reading assignments for a type of extra credit in addition to required multiple-choice reading quizzes. In the experimental year (year 2), students were instead allowed to replace reading quizzes with recalls. The data included student submissions, grades, and course evaluations. Students completed more recall assignments when the recall replaced the quiz requirement than during the baseline year when recalls could not replace quizzes. In addition, the instances of students completing both the quiz and recall (for extra credit) increased in the experimental year. Average course grades did not change from the baseline year to the experimental year, but students with higher course grades were significantly more likely to have completed recalls. Student evaluations of the instructor were significantly higher for “responses to diverse learning styles” in the experimental year compared to the baseline condition. The study shows that letting students choose the assessment type they prefer can lead to increased student engagement and improve their perception of the instructor’s responsiveness to learning styles, without causing grade inflation.
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Fox, Mark, and Robert T. Kenagy. "Consumer Product Recalls: The United States Experience and Some International Implications." Business Law Review 34, Issue 3 (June 1, 2013): 95–109. http://dx.doi.org/10.54648/bula2013019.
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Much of the legal literature on consumer products focuses on product safety and product liability issues, rather than on the mechanics of the product recall process itself. This paper redresses this shortcoming by examining the product recall processes in both the United States and, by way of contrast, the European Union. We observe the ways in which these recall processes are substantially similar and provide practical observations as to why multinational companies should look at recalls from the perspective of preserving their global reputation. Finally, we offer some suggestions to improve the recall process and better protect consumers.
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Payne, David G., Helene A. Hembrooke, and Jeffrey S. Anastasi. "Hypermnesia in free recall and cued recall." Memory & Cognition 21, no. 1 (January 1993): 48–62. http://dx.doi.org/10.3758/bf03211164.
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Holland, Alisha C., and José Incio. "Imperfect Recall: The Politics of Subnational Office Removals." Comparative Political Studies 52, no. 5 (September 26, 2018): 777–805. http://dx.doi.org/10.1177/0010414018797939.
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Why do some citizens remove the same politicians that they elected from office? This article examines the use of recall referenda, an increasingly prevalent process in which citizens organize a vote to remove politicians from office before they complete their terms. Although celebrated as a tool to improve electoral accountability, we argue that recall referenda are organized to pursue political vendettas. We test this claim using an original data set on the different stages leading to subnational recalls in Peru. Recalls are initiated more often when politicians lose by narrow vote margins and when women hold office. Once put to a vote, citizens do use office performance to decide whether to retain their politicians. Losing politicians organized fewer recall referenda following an institutional reform that allowed politicians to name their successors. The implication is that recall referenda create weak incentives to improve office performance, but careful institutional design can improve their functioning.
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Magno, Francesca, Fabio Cassia, and Marta Ugolini. "Impact of voluntary product recalls on utilitarian and hedonic attitudes: Is it the same for all brands?" Australian Journal of Management 42, no. 1 (July 9, 2016): 161–74. http://dx.doi.org/10.1177/0312896215599812.
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The number of defective and unsafe products recalled from the market has increased dramatically in the last decade. While several studies have investigated consumer reaction to product recalls, the impact of such events on utilitarian versus hedonic attitudes towards the brand involved in the recall has not yet been assessed. Similarly, it is not clear whether brands with utilitarian positioning and brands with hedonic positioning are equally affected by recalls. Through an experiment based on a real-world stimulus from the laptop product category, this study shows that hedonic brands are more resistant to the negative effects of voluntary product recalls than are utilitarian brands. Furthermore, data show that brand familiarity mitigates the effect of the recall on utilitarian attitudes for both utilitarian and hedonic brands. Brand familiarity also positively moderates the impact of the recall on hedonic attitudes, but only for hedonic brands.
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Jovanovic, Boyan. "Product Recalls and Firm Reputation." American Economic Journal: Microeconomics 13, no. 3 (August 1, 2021): 404–42. http://dx.doi.org/10.1257/mic.20180396.
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Product recall data and information on stock price reactions to recalls are used to estimate the value of reputation in a model in which product quality is not contractible. A recall is the result of a product defect that signals low effort. The recall triggers a reduction in the firm’s product price and value, which then both rise steadily until its next defect occurs. We estimate that reputation accounts for 8.3 percent of firm value and that welfare is 26 percent of its first best level. A policy intervention that attains first best is a recall tax accompanied by a flow subsidy. (JEL D22, G32, H25, L25, L62, M31)
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Hu, Yu, Yaping Chen, Ying Wang, and Hui Liang. "Validity of Maternal Recall to Assess Vaccination Coverage: Evidence from Six Districts in Zhejiang Province, China." International Journal of Environmental Research and Public Health 16, no. 6 (March 18, 2019): 957. http://dx.doi.org/10.3390/ijerph16060957.
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Background: Although recall-based data are collected by survey when the vaccination records are not available, the preferred estimates remain the record-based ones due to the limited validity of recall-based data. However, the evidence on validity of maternal recalls is limited and varied across vaccine types. To close the gaps, we validated the maternal recall on vaccination against record-based data in six districts in Zhejiang Province, China. Methods: We used a cross-sectional survey of about 648 households with mothers who delivered in the last 12 months prior to the survey in October 2017, from six districts in Zhejiang Province. Vaccination status on five vaccine types scheduled before 12 months of age were collected through maternal recall and vaccination records. The level of agreement and recall bias between the two resources, the sensitivity and specificity of maternal recall were evaluated. Risk factors for maternal recall bias were also identified through logistic regression model for each type of vaccine. Results: The level of agreement between recall and record was above 90% across vaccine types, with the recall bias ranged from 2.2% to 9.7%. Recall bias due to over-reporting was slightly higher than that due to under-reporting. Recall bias was positively associated with high parity, home delivery, younger mothers, mothers with low education, and migrant mothers. Conclusions: This study indicated most of the vaccination status across vaccine types was accurately identified through maternal recall and supported the use of maternal recall to estimate the vaccination coverage as an alternative in the absence of record-based data.
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Memon, Muhammad Saad, Young Hae Lee, and Sonia Irshad Mari. "Analysis of Traceability Optimization and Shareholder’s Profit for Efficient Supply Chain Operation under Product Recall Crisis." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/896239.
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Product recall gains considerable importance in recent times; the reason may be the huge losses faced by manufacturers because of product recall issues. Furthermore, the revenue of the firm is immensely affected as a result of product recall, which may lead to serious outcomes. Huge recall cost (such as repairing or destroying the recalled products and cost of notification) occurs as a result of large recall. Therefore, in order to minimize the quantity and probability of recalls the traceability systems are widely used and considered as a necessary part of product safety strategies. However, from literature it is clear that manufacturers are still struggling to obtain the significant results. This study helps the managers to understand the importance of recall cost by analysing its impact on shareholders profit. Keeping in view the importance of problem, the paper proposed an integrated optimization model to minimize the expected loss to shareholders in recall crisis using batch dispersion methodology. The analysed results show that reduction in traceability level increases the expected shareholders losses while decreasing the operational costs. This will help managers to optimally set the production batch sizes in order to reduce the product recall impact.
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Newman, Leonard S., Maxwell S. Sapolsky, Ying Tang, and Daria A. Bakina. "What’s Recalled Depends on the Nature of the Recall Procedure." Social Psychology 45, no. 2 (February 1, 2014): 93–102. http://dx.doi.org/10.1027/1864-9335/a000164.
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According to the mnemic neglect model, people process non-threatening feedback more deeply than threatening feedback. Tests of the model rely on behavior recall as the primary dependent variable. Similar to other research programs in social psychology, little attention has been paid to determining the optimal recall procedure for testing the model and replicating its predicted findings. Four experiments reveal that the results of mnemic neglect studies are significantly affected by recall period length and how recalled behaviors are reported. A few basic principles (e.g., output interference, output primacy as an index of accessibility) can account for these findings. The lessons learned apply not just to mnemic neglect research, but to any investigation of social-cognitive processes utilizing free recall measures.
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Condon, David M., Robert Chapman, Sara Shaunfield, Michael A. Kallen, Jennifer L. Beaumont, Daniel Eek, Debanjali Mitra, et al. "Does recall period matter? Comparing PROMIS® physical function with no recall, 24-hr recall, and 7-day recall." Quality of Life Research 29, no. 3 (November 7, 2019): 745–53. http://dx.doi.org/10.1007/s11136-019-02344-0.
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SEYS, S. A., F. SAMPEDRO, and C. W. HEDBERG. "Factors associated with recovery of meat products following recalls due to Shiga toxin-producing Escherichia coli." Epidemiology and Infection 144, no. 14 (June 17, 2016): 2940–47. http://dx.doi.org/10.1017/s0950268816001266.
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SUMMARYFood-product recall data for recalls due to Shiga toxin-producing Escherichia coli (STEC) from 2000 to 2012 were obtained for establishments regulated by the United States Department of Agriculture, Food Safety and Inspection Service (FSIS). Statistical tests were used to assess the factors associated with recovery of product following STEC recalls along with the relationship between cluster detection and jurisdictions. Our results indicated that the percentage of recalled product recovered following a recall action due to STEC was dependent on the complexity of distribution, type of distribution, amount of time between production and recall dates, and the number of pounds of product recalled. Illness-related STEC recalls were associated with a lower percentage of product recovery which was probably impacted by larger amounts of product recalled, broader production scope, and delays from epidemiological and traceback investigations. Further, detection of illnesses related to STEC recalls seemed to be enhanced in states with additional resources and a history of successful foodborne investigations. This makes an argument for additional resources dedicated to public health agencies specifically for the surveillance of foodborne illnesses.
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Ward, Heather, Heather McLellan, Chi Udeh-Momoh, Parthenia Giannakopoulou, Catherine Robb, Petra Wark, and Lefkos Middleton. "Use of Online Dietary Recalls among Older UK Adults: A Feasibility Study of an Online Dietary Assessment Tool." Nutrients 11, no. 7 (June 27, 2019): 1451. http://dx.doi.org/10.3390/nu11071451.
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This study examined the feasibility of including myfood24, an online 24-hour dietary recall tool, in a cohort studies of older adults. Participants (n = 319) were recruited during follow-up visits for the CHARIOT-Pro Sub-study, a prospective study of cognitively healthy adults aged 60–85 years at baseline. Email invitations were sent over three consecutive months, with weekly reminders. Multivariable regression models were applied to examine the number of recalls completed in relation to technology readiness (TR) scores and demographic characteristics. Ninety-four percent of people agreed to participate. Among participants, 67% completed at least one recall, and 48% completed two or more. Participants who completed multiple recalls reported higher self-confidence with technology and received a higher TR score than those who did not complete any recalls. A one-point higher TR score was associated with higher odds of completing three recalls compared to zero recalls (OR 1.70, 95% CI 0.96–3.01); this association was further attenuated after adjustment for demographic and other TR-related covariates (OR 1.35, 95% CI 0.63–2.88). This study demonstrates reasonable participation rates for a single myfood24 recall among older adults participating in a cohort study but suggests that further support may be required to obtain multiple recalls in this population.
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Bower, Bruce. "Restoring Recall." Science News 164, no. 15 (October 11, 2003): 228. http://dx.doi.org/10.2307/4019040.
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Greig, Donald, and Anna Maria Busse Berger. "Vocal Recall." Musical Times 147, no. 1894 (April 1, 2006): 110. http://dx.doi.org/10.2307/25434370.
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Stemmler, Susan. "I Recall." American Indian Culture and Research Journal 33, no. 3 (January 1, 2009): 107–9. http://dx.doi.org/10.17953/aicr.33.3.ft3136702073109l.
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O'Brien, Jon. "Total recall." New Scientist 253, no. 3377 (March 2022): 35. http://dx.doi.org/10.1016/s0262-4079(22)00441-9.
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Bates, Jane. "Total recall." Nursing Standard 23, no. 47 (July 29, 2009): 27. http://dx.doi.org/10.7748/ns.23.47.27.s30.
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Suchard, Jeffrey R. "Toxicology Recall." Academic Emergency Medicine 16, no. 12 (November 16, 2009): e37-e37. http://dx.doi.org/10.1111/j.1553-2712.2009.00578.x.
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Robinson, P. "Beyond Recall." English 51, no. 199 (March 1, 2002): 68–69. http://dx.doi.org/10.1093/english/51.199.68.
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Nawy, Tal. "Bacterial recall." Nature Methods 12, no. 1 (December 30, 2014): 12–13. http://dx.doi.org/10.1038/nmeth.3245.
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Narain, Charvy. "Total recall." Nature Neuroscience 9, no. 3 (March 2006): 302. http://dx.doi.org/10.1038/nn0306-302a.
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