bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of knowledge management on product innovation by intrapreneurial firms
Authors: Bhardwaj Broto Rauth 
Published: September 2019

Purpose
This paper aims to provide a study on knowledge management, facilitating new product innovation by intrapreneurial companies.

Design/methodology/approach
The methodology includes the empirical study which was conducted based on detailed questionnaire and data collection of 319 respondents from heavy engineering auto companies, such as Maruti, Honda and others. The data were analyzed to find the influence of knowledge management on new product development. Structural equation modeling method, critical path analysis and reliability were checked by Cronbach’s alpha.

Findings
The findings suggest that the innovation of a new product is critical for the companies. Also, it is very important for the companies to have knowledge management systems such as intelligence generation and dissemination process to facilitate information sharing among the various departments. Responsiveness to the market needs would be based on how authentic the customer data are and to what extent the company is able to share these data with research and product development departments to motivate new products for fulfilling these needs of the customers. This kind of process would enable the company to drive the next level of innovation within the company.

Research limitations/implications
The present study has several implications for managers and researchers. The model proposed in the study suggests the adoption and implementation of knowledge management for product innovation. The study findings also suggest that developing better methods to share knowledge and intelligence among the employees about the customers’ data would be a very critical success factor for new product innovation.

Practical implications
This paper also suggests that the researchers can study this model with respect to inter-disciplinary and inter-country study to become competitive using new product innovation.

Originality/value
The study contributes toward development of theory on creating innovation facilitated by knowledge management for enhancing innovation.
What determines customers’ continuance intention of FinTech? Evidence from YuEbao
Authors: Wang Zhenning , GUAN Zhengzhi (Gordon) , Hou Fangfang , Li Boying , Zhou Wangyue 
Published: September 2019

Purpose
The purpose of this paper is to investigate the effects of trust in service and structural assurance on the continuance intention of FinTech services, and the roles of technical factors (i.e. situational normality and system quality) and social factors (i.e. herding and subjective norm) in developing trust in service and structural assurance. YuEbao is selected as the subject as it is a representative example of FinTech services in China.

Design/methodology/approach
A survey questionnaire was deployed and a ten-point sliding scale with two-decimal points was applied to improve the accuracy of the questionnaire. Partial least squares structural equation modeling was used to analyze the data.

Findings
Trust in service and structural assurance can encourage continuance intention of FinTech service. System quality, situational normality and subjective norm can boost the development of trust in service. Both herding and subjective norm can affect structural assurance significantly.

Research limitations/implications
The study highlights the important roles played by technical factors (i.e. situational normality and system quality) and social factors (i.e. herding and subjective norm) in developing the two levels of trust (i.e. trust in service and structural assurance). It also validates the influences of trust in service and structural assurance on encouraging customers’ continuance intention in the novel context of FinTech.

Practical implications
The findings of this study can be used by practitioners to encourage customers to continue using their FinTech services. To encourage continuance, service providers can improve the quality of their system, design the system to be aligned with customers’ using habits and show customers that their close friends are also using the service.

Originality/value
This study adds to the existing body of trust literature by investigating the direct effects of trust in service and structure assurance on continuance intention and how these two levels of trust are developed from technical and social aspects. It generates interesting insights into customers’ continuance behavior of FinTech services.
Sequential auction based parking space sharing and pricing mechanism in the era of sharing economy
Authors: Tan Bing Qing , Xu Su Xiu , Zhong Ray , Cheng Meng , Kang Kai 
Published: September 2019

Purpose
The purpose of this paper is to design a parking space management platform to alleviate the parking problem and a two-stage solution for sharing and allocating parking spaces.

Design/methodology/approach
The market design mechanism and auction mechanism are integrated to solve the problem of parking space sharing and allocation. In the first stage, the market design mechanism with two rules is applied for making the good use of idle parking spaces. In the second stage, two sequential auction mechanisms are designed by extending first/second-price sealed bid auction mechanism to allocate both private and public parking spaces, which are received in previous stage and owned by the platform. Two stages are connected through a forecasted price which is calculated through the exponential smoothing method.

Findings
First, we prove three important properties of the proposed sequential auction mechanisms, namely, incentive compatibility, revenue equivalence and individual rationality. Second, a simulation study is used to verify the effectiveness of the mechanisms through numerical analysis. The impact of the system on three parts, namely, agents (private parking space suppliers), bidders (parking space customers) and the platform, is examined. Third, the results show that the sharing mechanism with monetrary incentive will attract a number of agents to join in the platform. The bidders are also able to obtain considerable utility, as compared with the (average) market parking fees. The platform can thus effectively allocate parking spaces with reasonable prices.

Originality/value
This paper combines the classical sequential auction mechanisms with the market design mechanism for the parking space sharing and allocation problem. The modeling and analysis method can also be used to address the similar allocation and pricing problems of other resources like bicycle sharing.
Assessing determinants of sustainable upgrade of existing buildings
Authors: Dadzie John , Runeson Goran , Ding Grace 
Published: September 2019

Purpose
Estimates show that close to 90% of the buildings we will need in 2050 are already built and occupied. The increase in the existing building stock has affected energy consumption thereby negatively impacting the environment. The purpose of this paper is to assess determinants of sustainable upgrade of existing buildings through the adoption and application of sustainable technologies. The study also ranks sustainable technologies adopted by the professionals who participated in the survey with an in-built case study.

Design/methodology/approach
As part of the overall methodology, a detailed literature review on the nature and characteristics of sustainable upgrade and the sustainable technologies adopted was undertaken. A survey questionnaire with an in-built case study was designed to examine all the sustainable technologies adopted to improve energy consumption in Australia. The survey was administered to sustainability consultants, architects, quantity surveyors, facility managers and engineers in Australia.

Findings
The results show a total of 24 technologies which are mostly adopted to improve energy consumption in existing buildings. A factor analysis shows the main components as: lighting and automation, heating, ventilation and air conditioning (HAVC) systems and equipment, envelope, renewable energy and passive technologies.

Originality/value
The findings bridge the gap in the literature on the adoption and application of sustainable technologies to upgrade existing buildings. The technologies can be adopted to reduce the excessive energy consumption patterns in existing buildings.
Within‐ and between‐group dynamics in an obligate cooperative breeder
Authors: Woodroffe Rosie , O'Neill Helen M. K. , Rabaiotti Daniella 
Published: September 2019

Abstract

Cooperative behaviour can have profound effects on demography. In many cooperative species, components of fitness (e.g. survival, reproductive success) are diminished in smaller social groups. These effects (termed group‐level component Allee effects) may lead smaller groups to grow relatively slowly or fail to persist (termed group‐level demographic Allee effects).

If these group‐level effects were to propagate to the population level, small populations would grow slowly or decline to extinction (termed population‐level demographic Allee effects). However, empirical studies have revealed little evidence of such population‐level effects.

Theoretical studies suggest that dispersal behaviour could either cause or prevent the propagation of group‐level Allee effects to the population level. We therefore characterized within‐ and between‐pack dynamics in a population of African wild dogs (Lycaon pictus) to test these contrasting model predictions.

Larger wild dog packs produced more pups, and their members experienced higher survival than those in smaller packs. Nevertheless, larger packs grew more slowly than smaller packs, because natal adults dispersed away from them. Most packs either died out in whole‐pack death events or broke up when their founders died, irrespective of pack size. Overall, packs showed negative density dependence rather than group‐level demographic Allee effects.

Larger packs produced more, but not larger, dispersal groups and hence generated more, but not larger, new packs. Larger packs thus contributed more than smaller packs to the number of packs in the population, but their large size did not propagate to their daughter packs. This pattern helps to explain the absence of population‐level Allee effects in this species.

Dispersal behaviour, itself driven by natural selection on individual reproductive strategies, played a pivotal role in population dynamics, leading to the formation of new packs and limiting the size of established packs. Understanding dispersal processes is likely to be important to understanding the population dynamics of other cooperatively breeding species.
Functional form and interactions of the drivers of understory non‐native plant invasions in northern US forests
Authors: Golivets Marina , Woodall Christopher W. , Wallin Kimberly F. 
Published: September 2019

Abstract

The number and rate of non‐native plant invasions in forests have been steadily increasing over the last century with profound consequences for the composition, structure and functioning of these ecosystems. While multiple regional, landscape and local environmental factors are known to drive the spread of non‐native invasive plant species (NNIPS) into forests, such factors have rarely been analysed within a unified analytical framework allowing for the assessment of their relative importance, possible non‐linear behaviour and interactions. Obtaining such knowledge would improve the understanding and allow prediction of forest plant invasions and help prioritize actions for effective NNIPS control and mitigation.

We used boosted regression trees and Bayesian non‐linear regression to analyse forest inventory data spanning 14 northern US states in combination with data on climate, land use and disturbance. Within each framework, we assessed the magnitude, direction and functional form of the effects of 18 regional to local environmental factors and their interactions on the probability of presence and richness of NNIPS in the forest understory, while controlling for sampling intensity, data collection time and spatial autocorrelation.

The studied drivers together captured nearly 50% of the variation in NNIPS occurrence and richness and were sufficient to obtain sensible predictions. Most drivers exhibited monotonic non‐linear individual effects and several drivers showed non‐additive combined effects. Temperature and landscape openness were the two major determinants of NNIPS presence and richness, but their effects were to a different degree moderated by elevation, climatic and topographic wetness, and stand age. Stand age was a more important predictor of NNIPS invasion than stand productivity. Deer density tended to be positively associated with NNIPS, whereas gypsy moth outbreaks possibly have increased resistance to plant invasions.

Synthesis and applications. To optimize non‐native invasive plant species (NNIPS) control efforts in forests, it is important to explicitly account for the functional form and interactions among the factors operating across spatial and temporal scales. Increasing the average stand age at the landscape and regional levels is essential for buffering against further invasions. Recurrent canopy disturbance likely slowed down NNIPS invasion previously, yet whether this holds under higher propagule pressure remains unknown.
Improving links between environmental accounting and scenario‐based cumulative impact assessment for better‐informed biodiversity decisions
Authors: Mokany Karel , Harwood Thomas D. , Ferrier Simon 
Published: September 2019

Abstract

Increasing attention is being given to understanding how intensifying human activities combine over space and time to influence persistence of biodiversity. Two types of biodiversity assessment in particular are attracting growing interest: one focused on understanding past‐to‐present change (environmental accounting) and another focused on understanding likely present‐to‐future changes under proposed scenarios of future actions (cumulative impact assessment of scenarios).

Here we highlight the potential benefits of improving the links between environmental accounting and scenario‐based cumulative impact assessment for biodiversity, using a case study for subterranean fauna in the Pilbara region of Australia. Using a flexible and comprehensive model‐based analytical approach, we assessed expected change in biodiversity persistence given past development, and likely change to 2100 under a proposed development scenario for the region.

Our assessment shows both the times (2005–2015) and places (Fortescue sub‐region) where development activities are likely to have most strongly influenced long‐term biodiversity persistence for subterranean fauna in the Pilbara region. Although mining development has often occurred in areas that have a high value for subterranean fauna diversity, our linked environmental accounting and cumulative impact assessment suggest relatively modest impacts on long‐term persistence for this component of biodiversity.

Synthesis and applications. Our study provides an effective demonstration of the capacity and potential benefits of better linking environmental accounting with scenario‐based cumulative impact assessment. Improving the links between these two perspectives on biodiversity assessment will create benefits for both, providing a consistent basis for cumulative impact assessments and enhancing the usefulness of environmental accounting.
Measuring Uncertainty for New Zealand Using Data‐Rich Approach
Authors: Tran Trung Duc , Vehbi Tugrul , Wong Benjamin 
Published: September 2019

AbstractThis paper develops two state‐of‐the‐art uncertainty indices for New Zealand by exploiting two separate data‐rich environments. The first index follows the methodology outlined in Jurado, Ludvigson and Ng (2015) to construct an estimate of uncertainty based on a large New Zealand macro dataset. The second index is constructed based on freely accessible and real time Google Trends data to provide a real‐time and freely‐accessible measure of uncertainty as in Castelnuovo and Tran (2017) and Shields and Tran (2018). Both indices do a reasonable job measuring uncertainty in New Zealand. VAR evidence documents significant impacts of uncertainty shocks on GDP in New Zealand.
Ethno‐National Narratives of Human Rights: The Northern Ireland Policing Board
Authors: Martin Richard 
Published: September 2019

AbstractPolicing in Northern Ireland has undergone one of the world's most extensive human rights reform programmes. The challenge has been whether the human rights paradigm can serve as a mutual basis for the region's sparring ethno‐national communities to deliberate over long‐contested issues of policing, accountability and justice. This article focuses on the Northern Ireland Policing Board as an arena to examine the contemporary political attitudes and agendas that animate the Board's statutory duty to monitor policing on the basis of human rights. Marshalling qualitative data and drawing on legal anthropology, this article offers an account of the ‘social life’ of human rights and policing in the context of Northern Ireland's imperfect peace. It argues that, irrespective of legal standards, human rights oversight harbours deep sentiments and concerns, at the heart of which are communities’ own historical engagements with rights, competing legacies of the conflict and divergent understandings of contemporary policing.
Data breach remediation efforts and their implications for hospital quality
Authors: Choi Sung J. , Johnson M. Eric , Lehmann Christoph U. 
Published: September 2019

AbstractObjectiveTo estimate the relationship between breach remediation efforts and hospital care quality.Data SourcesDepartment of Health and Human Services’ (HHS) public database on hospital data breaches and Medicare Compare's public data on hospital quality measures for 2012‐2016.Materials and MethodsData breach data were merged with the Medicare Compare data for years 2012‐2016, yielding a panel of 3025 hospitals with 14 297 unique hospital‐year observations.Study DesignThe relationship between breach remediation and hospital quality was estimated using a difference‐in‐differences regression. Hospital quality was measured by 30‐day acute myocardial infarction mortality rate and time from door to electrocardiogram.Principal FindingsHospital time‐to‐electrocardiogram increased as much as 2.7 minutes and 30‐day acute myocardial infarction mortality increased as much as 0.36 percentage points during the 3‐year window following a breach.ConclusionBreach remediation efforts were associated with deterioration in timeliness of care and patient outcomes. Thus, breached hospitals and HHS oversight should carefully evaluate remedial security initiatives to achieve better data security without negatively affecting patient outcomes.
Global Concerns with B Vitamin Statuses: Biofortification, Fortification, Hidden Hunger, Interactions, and Toxicity
Authors: Titcomb Tyler J. , Tanumihardjo Sherry A. 
Published: September 2019

AbstractThe prevalence of undernutrition due to insufficient energy intake has been reduced by nearly 50% since 1990. This reduction is largely attributed to improved yields of staple crops, such as wheat, rice, and maize; however, these improvements did little for micronutrient deficiencies that affect an estimated two billion people worldwide. Starchy staple crops are energy dense but are often lacking in one or more B vitamins, making resource‐constrained people who consume monotonous diets comprised predominantly of these staples at risk for developing deficiency. B vitamin deficiencies occur due to a poor overall nondiversified diet and rarely occur alone. Many B vitamins are essential cofactors involved in the metabolism of other nutrients, including other B vitamins, whereby the deficiency of one B vitamin affects the metabolism and status measurements of another. Food fortification efforts have nearly eradicated diseases of extreme B vitamin deficiency, such as beriberi from thiamin deficiency and pellagra from niacin deficiency. However, subclinical deficiency, sometimes referred to as hidden hunger, is still common especially in low‐income countries. Most dietary B vitamins, due to their water‐soluble nature, are not a concern for excessive intakes, but synthetic forms used for fortification and supplements sometimes can have adverse effects when consumed in high amounts. Biofortified crops offer a long‐term sustainable method to increase the amount of dietary B vitamins for people who rely on staple crops for most of their caloric intake. Efforts have been made to improve B vitamin content of crops, especially for thiamin, vitamin B6, and folate, but none have undergone human feeding trials; therefore, more research is needed to provide sustainable and scalable solutions in many parts of the world.
Determination of Key Volatile Compounds Related to Long‐Term Fermentation of Soy Sauce
Authors: Lee Sang Mi , Kim Sa‐Bin , Kim Young‐Suk 
Published: September 2019

AbstractThe changes of volatile compounds in soy sauce during long‐term fermentation (12 months) were investigated using solid‐phase microextraction (SPME) and stir bar sorptive extraction (SBSE). A total of 144 and 129 compounds were identified in soy sauce with long‐term fermentation by SPME and SBSE, respectively. The contents of most compounds, such as acids, aldehydes, benzene and benzene derivatives, esters, lactones, pyrazines, pyrones, and pyrroles, showed a tendency to increase, whereas those of alcohols and ketones decreased according to long‐term fermentation. In addition, principal component analysis and partial least squares discriminant analysis were applied to discriminate soy sauce samples according to fermentation periods and determine key volatile compounds related to long‐term fermentation. The initial fermentation stages were mainly associated with some alcohols, ketones, and lactones, whereas the later stages were strongly associated with most esters, some phenols, benzene and benzene derivatives, and pyrroles. Moreover, the key volatile compounds associated with long‐term fermentation in soy sauce samples were ethyl 3‐methylbutanoate (ethyl isovalerate), ethyl pentanoate (ethyl valerate), 1‐octen‐3‐yl acetate, 3‐(methylthio)‐1‐propanol (methionol), ethyl benzoate, ethyl 2‐phenylacetate, 1‐(1H‐pyrrol‐2‐yl)ethanone (2‐acetylpyrrole), and 5‐pentyl‐2‐oxolanone (γ‐nonalactone).Practical ApplicationThis study investigated changes of volatile compounds in soy sauce during long‐term fermentation (12 months) using solid‐phase microextraction and stir bar sorptive extraction. In addition, the key volatile compounds associated with long‐term fermentation in soy sauce samples were determined. These results may help to predict the effective contributors related to long‐term fermentation of soy sauce and improve the quality of soy sauce during long‐term fermentation.