bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antifungal symbiotic peptide NCR044.1 exhibits unique structure and multi-faceted mechanisms of action that confer plant protection
Authors: Velivelli Siva L. S. , Czymmek Kirk J. , Li Hui , Shaw Jared B. , Buchko Garry W. , Shah Dilip M. 
Published: February 2020

AbstractNCR044.1 is a 36-amino acid nodule-specific cysteine-rich antimicrobial peptide expressed in the developing nodules ofMedicago truncatula. Here, we determined its unique NMR structure to be largely disordered, one four-residue α-helix and one three-residue anti-parallel β-sheet stabilized by two disulfide bonds, suggesting it is highly dynamic. NCR044.1 exhibited potent fungicidal activity against multiple plant fungal pathogens. It breached the fungal plasma membrane, bound to multiple phosphoinositides, and induced reactive oxygen species. Time-lapse confocal and super-resolution microscopy revealed strong fungal cell wall binding, penetration of the cell membrane at discrete foci, followed by gradual loss of turgor, and subsequent accumulation in the cytoplasm with elevated levels in nucleoli. Nucleolar localization of NCR044.1 was unique amongst plant antifungal peptides, suggesting its potential interaction with ribosomes and inhibition of translation. Spray-applied NCR044.1 significantly reduced gray mold disease symptoms caused by the fungal pathogenBotrytis cinereain tomato plants and post-harvest products demonstrating its potential as a spray-on peptide-based biofungicide.
Online grocery shopping adoption: do personality traits matter?
Authors: Piroth Philipp , Ritter Marc Sebastian , Rueger-Muck Edith 
Published: February 2020

PurposeThis study examines the relationship between personality traits and the willingness to buy groceries online. Our research is based on research on consumer values regarding online grocery shopping (OGS), and the authors argue that customer values are aggregated states of personality traits. The authors, therefore, propose the predictive power of personality traits toward OGS usage adoption.Design/methodology/approachFor a more thorough evaluation of the matter, the authors conducted an online administered questionnaire resulting in N = 678 valid responses and conducted structural equation modeling using IBM AMOS (Vers. 25).FindingsThe authors found that none of the five personality traits had a significant influence on the attitude toward OGS. However, subjective norm had strong influence on attitude, and both subjective norm and attitude were solid predictors of purchase intention for groceries online. Unsurprisingly, the attitude toward OGS was higher for consumer groups with prior experience. The results indicate a high relevance of peer groups in the decision-making process of buying groceries online and the crucial importance of the initial purchase.Practical implicationsPractitioners, therefore, may resort to marketing the strategies to peer groups and initial purchasing behavior and address the level of experience with the usage of OGS, as well as situational aspects. This may be facilitated by precisely targeted online marketing activities and marketing service strategy adaptations.Originality/valueThis is the first study to examine the influence of personality traits toward the willingness to conduct OGS with an emphasis on the lower overall adoption within Germany. The authors furthermore validate the predictive power of the theory of planned behavior (TPB) construct for the economically attractive market segment of OGS by adapting and enhancing the scope of previous research.
Cyberactivism as emergent language in Venezuela
Authors: Pirela Morillo Johann Enrique , Almarza Franco Yamely Margarita , Alhuay-Quispe Joel 
Published: February 2020

PurposeThe purpose of this study is to present a conceptual analysis to artistic manifestation represented through graphic and multimedia pieces that are available in social media networks as document-speeches in relation to protests in Venezuela during April-July, 2017. Also, this paper proposes the implementation of digital documentation tool that allows retrieval, organization, systematization and preservation of visual contents.Design/methodology/approachSemiotic analysis based on 44 artistic pieces (images and videos) posted on Twitter, Instagram and YouTube to protest in Venezuela against the government of Nicolás Maduro in 2017. The authors defined a metadata group for content creation of multimedia and testing information retrieval from general data, textual contents, file formats and semiotic description using Omeka software.FindingsThe digital documentation of artivism proposed has the potential to sustain over time as documents likely to be studied. It also constitutes an important analysis and a historical reconstruction, which must be taken into consideration to conduct research in the future political and social process of Venezuela.Social implicationsCyber-artivism, a concept related to online activism, is conceived as an artistic expression mediated by technologies and social media emerging in the context of social environments with a political–demographic character.Originality/valueDigital preservation of multimedia contents by their semiotic and historic value as artistic cyber-activism.
Innovative design for sustainability
Authors: Zeng Ruochen , Chini Abdol , Ries Robert 
Published: February 2020

PurposeAs green building movement is widespread throughout the world, low-energy building becomes the standard. A designer's selection of building systems and materials during early design phase becomes more important. It is essential that designers include embodied energy and emissions among other criteria they use in selecting materials during the design development phase of a building. The aim of this study is to develop a model to integrate the embodied energy, embodied emissions, and cost of the alternative structure and envelope systems of a building during the design development stage.Design/methodology/approachA conceptual model is proposed to integrate the embodied energy, embodied emissions, and cost of the alternative structure and envelope systems of a building. A case study is used to test the proposed model in predicting the embodied impacts and cost of structure and envelope systems for an educational building.FindingsThe proposed model can assist designers in making informed decisions at the early design stage and selecting alternative structure and envelope systems considering embodied impacts and costs.Social implicationsDesigners consider reducing embodied impacts of buildings during early design phase as an important social responsibility, especially for megaprojects, which have great impact on our daily life.Originality/valueDevelopment of a model that can be used to support design decisions regarding sustainable design (embodied energy and embodied carbon emissions) and costs of buildings in early design phase.
Measuring the impact of learning at the workplace on organisational performance
Authors: Kopp Tobias , Kinkel Steffen , Schäfer Teresa , Kieslinger Barbara , Brown Alan John 
Published: February 2020

PurposeThe purpose of this article is to explore the importance of workplace learning in the context of performance measurement on an organisational level. It shows how workplace learning analytics can be grounded on professional identity transformation theory and integrated into performance measurement approaches to understand its organisation-wide impact.Design/methodology/approachIn a conceptual approach, a framework to measure the organisation-wide impact of workplace learning interventions has been developed. As a basis for the description of the framework, related research on relevant concepts in the field of performance measurement approaches, workplace learning, professional identity transformation, workplace and social learning analytics are discussed. A case study in a European Public Employment Service is presented. The framework is validated by qualitative evaluation data from three case studies. Finally, theoretical as well as practical implications are discussed.FindingsProfessional identity transformation theory provides a suitable theoretical framework to gain new insights into various dimensions of workplace learning. Workplace learning analytics can reasonably be combined with classical performance management approaches to demonstrate its organisation-wide impact. A holistic and streamlined framework is perceived as beneficial by practitioners from several European Public Employment Services.Research limitations/implicationsEmpirical data originates from three case studies in the non-profit sector only. The presented framework needs to be further evaluated in different organisations and settings.Practical implicationsThe presented framework enables non-profit organisations to integrate workplace learning analytics in their organisation-wide performance measurement, which raises awareness for the importance of social learning at the workplace.Originality/valueThe paper enriches the scarce research base about workplace learning analytics and its potential links to organisation-wide performance measurement approaches. In contrast to most previous literature, a thorough conceptualisation of workplace learning as a process of professional identity transformation is used.
Dynamic testing resource allocation modeling for multi-release software using optimal control theory and genetic algorithm
Authors: Kumar Vijay , Sahni Ramita 
Published: February 2020

PurposeThe use of software is overpowering our modern society. Advancement in technology is directly proportional to an increase in user demand which further leads to an increase in the burden on software firms to develop high-quality and reliable software. To meet the demands, software firms need to upgrade existing versions. The upgrade process of software may lead to additional faults in successive versions of the software. The faults that remain undetected in the previous version are passed on to the new release. As this process is complicated and time-consuming, it is important for firms to allocate resources optimally during the testing phase of software development life cycle (SDLC). Resource allocation task becomes more challenging when the testing is carried out in a dynamic nature.Design/methodology/approachThe model presented in this paper explains the methodology to estimate the testing efforts in a dynamic environment with the assumption that debugging cost corresponding to each release follows learning curve phenomenon. We have used optimal control theoretic approach to find the optimal policies and genetic algorithm to estimate the testing effort. Further, numerical illustration has been given to validate the applicability of the proposed model using a real-life software failure data set.FindingsThe paper yields several substantive insights for software managers. The study shows that estimated testing efforts as well as the faults detected for both the releases are closer to the real data set.Originality /valueWe have proposed a dynamic resource allocation model for multirelease of software with the objective to minimize the total testing cost using the flexible software reliability growth model (SRGM).
Optimized 3D laser point cloud reconstruction by gradient descent technique
Authors: Singh Ravinder , Khurana Archana , Kumar Sunil 
Published: February 2020

Purpose
This study aims to develop an optimized 3D laser point reconstruction using Descent Gradient algorithm. Precise and accurate reconstruction of 3D laser point cloud of the complex environment/object is a key solution for many industries such as construction, gaming, automobiles, aerial navigation, architecture and automation. A 2D laser scanner along with a servo motor/pan tilt/inertial measurement unit is used for generating 3D point cloud (either environment/object or both) by acquiring the real-time data from sensors. However, while generating the 3D laser point cloud, various problems related to time synchronization problem between laser and servomotor and torque variation in servomotors arise, which causes misalignment in stacking the 2D laser scan for generating the 3D point cloud of the environment. Because of the misalignment in stacking, the 2D laser scan corresponding to the erroneous angular and position information by the servomotor and the 3D laser point cloud become distorted in terms of inconsistency for measuring the dimension of the objects.

Design/methodology/approach
This paper addresses a modified 3D laser system assembled from a 2D laser scanner coupled with a servomotor (dynamixel motor) for developing an efficient 3D laser point cloud with the implementation of an optimization technique: descent gradient filter (DGT). The proposed approach reduces the cost function (error) in the angular and position coordinates of the servo motor caused because of torque variation and time synchronization, which resulted in enhancing the accuracy in 3D point cloud mapping for the accurate measurement of the object’s dimensions.

Findings
Various real-world experiments are performed with the proposed DGT filter linked with laser scanner and servomotor and an improvement of 6.5 per cent in measuring the accurate dimension of object is obtained while comparing with conventional approaches for generating a 3D laser point cloud.

Originality/value
This proposed technique may be applicable for various industrial applications that are based on robotics arms (such as painting, welding and cutting) in the automobile industry, the optimized measurement of object, efficient mobile robot navigation, precise 3D reconstruction of environment/object in construction, architecture applications, airborne applications and aerial navigation.
Conflict management in dual distribution channel systems: the moderating role of learning capabilities
Authors: Ishii Ryuta 
Published: February 2020

Purpose
In dual distribution channel systems, integrated channels (manufacturer-owned) and independent channels (distributor-owned) are likely to adopt destructive behaviours. To suppress such behaviours, manufacturers need to implement conflict management systems. The purpose of this study is to examine the moderating role of conflict-learning capability (CLC) in the relationship between conflict management system and destructive behaviour. This study also investigates whether interactions between conflict management systems and CLC improve the overall channel performance.

Design/methodology/approach
Using survey data from 157 Japanese industrial manufacturers, this study conducted regression analyses and mediation analyses.

Findings
The results show that boundary and compensation systems have different effects on destructive behaviours. On the one hand, compensation systems with strong CLC have a larger impact, although those with weak CLC can also suppress destructive behaviours to some degree. On the other hand, boundary systems with strong CLC suppress destructive behaviours, but those with weak CLC do not. In addition, this study reveals that manufacturers with strong CLC can indirectly improve overall channel performance by implementing conflict management systems and suppressing destructive behaviours.

Originality/value
Previous studies reveal that boundary and compensation systems suppress destructive behaviours. However, these studies neglect the importance of organisational capability in the successful implementation of conflict management systems. By focusing on CLC, this study advances our understanding of dual distribution and channel conflict.
“Swimming against the tide”: conditional discharge from medium secure care
Authors: McDonnaugh Tanya , Underwood Alan , Williams Amanda 
Published: February 2020

Purpose
The purpose of this paper is to explore the experiences of mentally disordered offenders (MDOs) conditionally discharged from secure hospitals on a restrictive Section of the Mental Health Act (Section 37/41).

Design/methodology/approach
Data were derived from seven semi-structured interviews from three forensic community teams.

Findings
Thematic analysis identified seven predominant themes: (1) the uncertainty of the discharge timeframe; (2) fear of jeopardising discharge; (3) progress; (4) engagement with community life; (5) barriers to social engagement; (6) evolving identity and (7) someone to turn to. Findings are discussed in relation to the recovery model and the good lives model.

Practical implications
The findings highlight the importance of fostering trust between MDOs and their care teams to encourage help-seeking. They also suggest that resources should be sequenced appropriately throughout the discharge process, to match the “window of engagement” and maximize impact and effectiveness.

Originality/value
This research gained rarely obtained first-hand perspectives from MDOs, with the findings contributing to a more effective evaluation of the discharge pathway.
Sustainable efficiency assessment of private diagnostic laboratories under uncertainty
Authors: Ghafari Someh Niloufar , Pishvaee Mir Saman , Sadjadi Seyed Jafar , Soltani Roya 
Published: February 2020

Purpose
Assessing the performance of medical laboratories plays an important role in the quality of health services. However, because of imprecise data, reliable results from laboratory performance cannot be obtained easily. The purpose of this paper is to illustrate the use of interval network data envelopment analysis (INDEA) based on sustainable development indicators under uncertainty.

Design/methodology/approach
In this study, each medical diagnostic laboratory is considered as a decision-making unit (DMU) and an INDEA model is used for calculating the efficiency of each medical diagnostic laboratory under imprecise inputs and outputs. The proposed model helps provide managers with effective performance scores for deficiencies and business improvements. The proposed model with realistic efficiency scores can help administrators manage their deficiencies and ultimately improve their business.

Findings
The results indicate that uncertainty can lead to changes in performance scores, rankings and performance classifications. Therefore, the use of DEA models under certainty can be potentially misleading.

Originality/value
The contribution of this study provides useful insights into the use of INDEA as a modeling tool to aid managerial decision-making in assessing efficiency of medical diagnostic laboratories based on sustainable development indicators under uncertainty.
Brexit referendum and European stock markets: a sector analysis
Authors: Kenourgios Dimitris , Dadinakis Evangelos , Tsakalos Ioannis 
Published: February 2020

PurposeThe purpose of this paper is to assess the reaction of European stock markets after the UK's EU membership referendum (“Brexit”) on June 23, 2016.Design/methodology/approachThe analysis focuses on asector level by using non-aggregate stock indices across EU-28, the UK and several country subsamples. An event study is performed in order to measure cumulative abnormal returns during the post-referendum announcement period.FindingsThe results indicate an unexpected small number of affected sectors across the country samples. A negative effect is observed in the financial sector across both the EU-28 and eurozone samples, whereas basic materials and health care sectors are influenced positively across the European region. Most of the sectors in the UK display a long-lasting positive effect, while the close trade relationships between the UK and selected European countries seem to partly constitute a driving force of sectors' abnormal stock returns after the referendum.Practical implicationsThe results are useful for global investors, traders and portfolio managers in terms of whether short-term gains from investment choices across sectors can be achieved during periods of increased political uncertainty and whether investors distinguished between sectors.Originality/valueThis paper extends the Brexit literature by using, for the first time, European non-aggregate stock indices. It also contributes to the sector-specific contagion studies by identifying which sectors with similar and/or different industrial composition are more prone to political uncertainty caused by the Brexit vote.
Research on the construction mechanism of the core competence of Chinese enterprises in the transition period
Authors: Lan Hailin , Liu Shuo , Huang Manli , Zeng Ping 
Published: February 2020

PurposeThe past 40 years of reform and opening up have seen the role of core competence receive unprecedented attention because of the impact of the new normal economy as well as the pressure of transformation and upgrading. Few Chinese enterprises have effectively constructed core competence, and there is also a lack of strategic perspective and contextual embedding of its construction process in theory. This study aims to analyse the unique contextual characteristics of China in the transitional period and the impact on the core competence construction of Chinese enterprises and proposes its construction mechanism for Chinese enterprises.Design/methodology/approachThrough theoretical deduction and speculation, this paper analyses the process of concept formation, clarifies the concept, analyses its connotations and structure and emphasises its relativity. Based on a review of the theoretical research on the core competence construction process and an analysis of dual contextual impact, this paper puts forward a mechanism for core competence construction.FindingsThe results reveal that four specific characteristics of entrepreneurs in balancing and coping with the dual nature of external context constitute the key driving force for a Chinese enterprises’ core competence construction; under the influence of this driving force, the core competence construction mechanism includes process mode, knowledge source, management mode and key success factors.Originality/valueApproaching it from a Chinese context, this study deepens the concept of core competence; enriches and develops the research related to the core strategic research proposition of its construction; and provides positive significance for Chinese enterprises to effectively build, develop and strengthen core competence and enhance their international competitiveness.
Creating a participative global workplace: A DEMS based approach
Authors: Patnaik Bignya , Shukla Mahendra Kumar 
Published: February 2020

Purpose
The purpose of this paper is to present a strategic change from the traditionally understood human resource management perspective. Through this paper, the authors attempt to present a diversity and equality based model of managing human resources for global companies for best outcomes through developing an environment of participation within the company.

Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings
Through this paper, the authors show that DEMS has immense potential for modern day global organizations. However, it must be noted that adoption and adaptation are to be contextualized with the organization and matched with the overall goals. This paper provides a validation to the research by Ali & Konrad (2017) and empirically proves that migration from present practices to DEMS might take time, but organizations that have adopted DEMS practices have evolved into being participative in nature and have experienced sustainable competitive advantage, leading to superior organisational performance.

Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.