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Navigating the “performing-organizing” paradox : tensions between supply chain transparency, coordination, and scope 3 GHG emissions performance
Purpose:
Drawing on paradox theory and the category of the “performing-organizing” paradox, the study investigates the tensions firms experience in the context of organizing the processes involved in managing their indirect GHG emissions.
Design/methodology/approach:
The authors develop hypotheses to explain why the paradox elements of supply chain transparency and supply chain coordination affect firms' ability to reduce their indirect supply chains GHG emissions. Using a two-stage method based on data from Refinitiv and CDP for 2002 to 2021, the authors test this study’s hypotheses through panel regression analyses.
Findings:
While greater transparency experience with scope 3 emissions disclosure, GSCM practices and broader supply chain engagement are all associated with higher levels of scope 3 emissions levels, both long-term transparency experience and GSCM practices are also associated with relative reductions in scope 3 emissions over time.
Practical implications:
Given growing pressures on firms to demonstrate both transparency and legitimacy regarding their scope 3 emissions, firms must understand the characteristics of this paradox as this has implications for how emissions performance is perceived and managed. This study's results suggested that firms need to take both a long-term perspective and effectively communicate the differences involved in reporting their emissions performance to avoid unwarranted criticism.
Originality/value:
Filling a gap in sustainable OSCM studies by providing large-scale quantitative insights into the relationships between organizing and performing, the authors demonstrate that the processes involved in firms' efforts of measuring and managing their indirect scope 3 emissions are paradoxically affected by whether performance outcomes are specified as annual absolute levels of scope 3 emissions, or relative changes over time
Comparing behavioural outcomes in children born extremely preterm between 2006 and 1995 : the EPICure studies
Background:
Children born extremely preterm (EP) are at increased risk of neurocognitive and behavioural morbidity. Here, we investigate whether behavioural outcomes have changed over time concomitant with increasing survival following EP birth.
Methods:
Comparison of outcomes at 11 years of age for two prospective national cohorts of children born EP in 1995 (EPICure) and 2006 (EPICure2), assessed alongside term-born children. Behavioural outcomes were assessed using the parent-completed Strengths and Difficulties Questionnaire (SDQ), DuPaul Attention-Deficit/Hyperactivity Disorder Rating Scale (ADHD-RS), and Social Communication Questionnaire (SCQ).
Results:
In EPICure, 176 EP and 153 term-born children were assessed (mean age: 10.9 years); in EPICure2, 112 EP and 143 term-born children were assessed (mean age: 11.8 years). In both cohorts, EP children had higher mean scores and more clinically significant difficulties than term-born children on almost all measures. Comparing outcomes for EP children in the two cohorts, there were no significant differences in mean scores or in the proportion of children with clinically significant difficulties after adjustment for confounders. Using term-born children as reference, EP children in EPICure2 had significantly higher SDQ total difficulties and ADHD-RS hyperactivity impulsivity z-scores than EP children in EPICure.
Conclusions:
Behavioural outcomes have not improved for EP children born in 2006 compared with those born in 1995. Relative to term-born peers, EP children born in 2006 had worse outcomes than those born in 1995. There is an ongoing need for long-term clinical follow-up and psychological support for children born EP
Monitoring teams
A principal incentivizes a group of agents to work by choosing a monitoring structure and a scheme of performance-contingent rewards. The monitoring structure partitions the set of agents into monitoring teams, each delivering a signal of joint performance. We show that unlike under partial implementation, the principal always exhausts her monitoring capacity to optimally implement work as a unique outcome. Optimal monitoring teams are homogeneous between them: equally sized and with agents allocated in an anti-assortative fashion. Higher-effort-cost agents receive lower rents, and they tend to be monitored more closely than lower-effort-cost agents when the principal's allocation is constrained
Spoofing against spoofing : towards caller ID verification in heterogeneous telecommunication systems
Caller ID spoofing is a global industry problem and often acts as a critical enabler for telephone fraud. To address this problem, the Federal Communications Commission (FCC) has mandated telecom providers in the US to implement STIR/SHAKEN, an industry-driven solution based on digital signatures. STIR/SHAKEN relies on a public key infrastructure (PKI) to manage digital certificates, but scaling up this PKI for the global telecom industry is extremely difficult, if not impossible. Furthermore, it only works with IP-based systems (e.g., SIP), leaving the traditional non-IP systems (e.g., SS7) unprotected. So far the alternatives to the STIR/SHAKEN have not been sufficiently studied. In this paper, we propose a PKI-free solution, called Caller ID Verification (CIV). CIV authenticates the caller ID based on a challenge-response process instead of digital signatures, hence requiring no PKI. It supports both IP and non-IP systems. Perhaps counter-intuitively, we show that number spoofing can be leveraged, in conjunction with Dual-Tone Multi-Frequency (DTMF), to efficiently implement the challenge-response process, i.e., using spoofing to fight against spoofing. We implement CIV for VoIP, cellular, and landline phones across heterogeneous networks (SS7/SIP) by only updating the software on the user’s phone. This is the first caller ID authentication solution with working prototypes for all three types of telephone systems in the current telecom architecture. Finally, we show how the implementation of CIV can be optimized by integrating it into telecom clouds as a service, which users may subscribe to
Digital transformation in corporate banking : toward a blended service model
Digital technologies challenge incumbent firms to rethink their established approaches to customer relationships. This article examines how a corporate bank reconfigured its relationship-oriented business model to benefit from digital transformation. The case analysis reveals a gradual transition toward a blended service model that first replaces, then complements, and finally augments physical with digital in increasingly complex customer interactions. While replacing and complementing human-enabled services with digital offerings are necessary steps of the digital transition, the associated competitive advantages are perceived as unlikely to endure. In contrast, augmenting human-enabled services with sophisticated digital technologies holds the potential for sustainable competitive advantage
Hinge prostheses in the revision of unicompartmental knee replacement : a descriptive analysis of data from the national joint registry for England, Wales and Northern Ireland
Introduction
Unicompartmental knee replacement (UKR) is an effective surgical strategy in patients with isolated medial or lateral compartment osteoarthritis. Study aims were to (1) describe the epidemiology of patients undergoing revision of UKR to a hinge knee replacement (HKR); (2) identify factors influencing time to revision; (3) evaluate HKR survival.
Materials and methods
An analysis of National Joint Registry data was undertaken, exploring revision of UKR to HKR between 2007 and April 2021. Descriptive analysis of eligible patients and Cox Regression to identify key determinants of time to revision were performed. Failure of HKR post-revision was assessed using survival analysis.
Results
111 patients underwent revision of UKR to HKR. Median age at revision was 70 years and most common indications were instability (n = 42) and infection (n = 22). The most common implant was a rotating HKR. Significant independent factors associated with earlier revision were periprosthetic fracture (p = 0.03) and malalignment (p = 0.03). Progressive osteoarthritis (p = 0.01) and higher ASA grades (3: p = 0.01, 4: p < 0.01) delayed time to revision; patient sex and age were not significant factors. Ten patients required subsequent re-revision; median age at re-revision was 61 years. HKR revised from UKR had an 89.3% revision-free risk at 5 years. Male sex (p < 0.01) and younger age (p < 0.01) were associated with re-revision.
Conclusions
Factors associated with time to revision may be used to counsel patients prior to UKR. The survivorship of the HKR of 89.3% at 5 years is concerning and careful consideration should be given when using this level of constraint when revising UKR in younger or male patients
Molecularly imprinted polymer hydrogel sheets with metalloporphyrin-incorporated molecular recognition sites for protein capture
Metalloporphyrins are often found in nature as coordination recognition sites within biological process, and synthetically offer the potential for use in therapeutic, catalytic and diagnostic applications. While porphyrin containing biological recognition elements have stability limitations, molecularly imprinted polymers bearing these structures offer an alternative with excellent robustness and the ability to work in extreme conditions. In this work, we synthesised a polymerizable porphyrin and metalloporphyrin and have incorporated these as co-monomers within a hydrogel thin-sheet MIP for the specific recognition of bovine haemoglobin (BHb). The hydrogels were evaluated using Scatchard analysis, with Kd values of 10.13 × 10−7, 5.30 × 10−7, and 3.40 × 10−7 M, for the control MIP, porphyrin incorporated MIP and the iron-porphyrin incorporated MIP, respectively. The MIPs also observed good selectivity towards the target protein with 73.8%, 77.4%, and 81.2% rebinding of the BHb target for the control MIP, porphyrin incorporated MIP and the iron-porphyrin incorporated MIP, respectively, compared with the non-imprinted (NIP) counterparts. Specificity was determined against a non-target protein, Bovine Serum Albumin (BSA). The results indicate that the introduction of the metalloporphyrin as a functional co-monomer is significantly beneficial to the recognition of a MIP, further enhancing MIP capabilities at targeting proteins
Global thermal image of cylindrical 21700 Li-ion batteries with distributed optical fibre sensor
The ability to monitor the thermal behaviour of lithium-ion batteries (LIB) is an essential pre-requisite to optimise performance and ensure safe operation. However, traditional point measurement (thermocouples) faces challenges in accurately characterising LIB behaviour and notably in defining the hotspot and the magnitude and direction of the thermal gradient. To address these issues, an optical-frequency-domain-reflectometer (OFDR) based distributed-optical-fibre-sensor has been employed to quantify the heat generation within a cylindrical 21700 LIB. A 3 mm spatial resolution within the optical sensor is realised. The optical fibre has been wound around the cell surface for over 1300 unique measurement locations; distributed around the circumference and axially along the LIB. Distributed measurements show the maximum thermal difference can reach 8.37 °C during a 1.5C discharge, while the point-like sensors have 4.31 °C thermal difference. While a temperature gradient along the cell axial length is well understood, for the first time, this research quantifies the temperature variations along the circumference of the cell. The global thermal image highlights heat generation is accumulated around the positive current tab, implying that a fundamental knowledge of internal LIB structure is required when defining sensor placement within the traditional characterisation experiments and deployment within the battery management system (BMS)
Inference of infectious disease transmission through a relaxed bottleneck using multiple genomes per host
In recent times, pathogen genome sequencing has become increasingly used to investigate infectious disease outbreaks. When genomic data is sampled densely enough amongst infected individuals, it can help resolve who infected whom. However, transmission analysis cannot rely solely on a phylogeny of the genomes but must account for the within-host evolution of the pathogen, which blurs the relationship between phylogenetic and transmission trees. When only a single genome is sampled for each host, the uncertainty about who infected whom can be quite high. Consequently, transmission analysis based on multiple genomes of the same pathogen per host has a clear potential for delivering more precise results, even though it is more laborious to achieve. Here we present a new methodology that can use any number of genomes sampled from a set of individuals to reconstruct their transmission network. Furthermore, we remove the need for the assumption of a complete transmission bottleneck. We use simulated data to show that our method becomes more accurate as more genomes per host are provided, and that it can infer key infectious disease parameters such as the size of the transmission bottleneck, within-host growth rate, basic reproduction number and sampling fraction. We demonstrate the usefulness of our method in applications to real datasets from an outbreak of Pseudomonas aeruginosa amongst cystic fibrosis patients and a nosocomial outbreak of Klebsiella pneumoniae