bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social capital, knowledge integration and learning in project-based organizations: a CEO-based study
Authors: Prieto-Pastor Isabel , Martín-Pérez Víctor , Martín-Cruz Natalia 
Published: October 2018

PurposeThis paper aims to examine how the different dimensions of project members’ intra-organizational social capital – cognitive, affective and relational – facilitate knowledge integration in project-based organizations, and how knowledge integration, in turn, impacts explorative and exploitative learning.Design/methodology/approachBased on an analysis of 129 R&D Spanish organizations, the study analyzes the interconnections between the different dimensions of social capital and how they affect to knowledge integration as antecedent of explorative and exploitative learning in project-based organizations.FindingsResults confirm that knowledge integration is beneficial for both exploratory and exploitive learning and thus that R&D organizations may be thus ambidextrous in their knowledge management. Related to the three dimensions of social capital, only the cognitive dimension (shared vision) has a significant impact on knowledge integration. However, the analysis confirms the interconnections between the three dimensions of social capital: the relational dimension (social interaction ties) and the cognitive dimension (shared vision) have significant effect on the relational one (trust), and the relational dimension also has an influence on the cognitive dimension. The model proposed in this study thus shows an acceptable capacity to discern the different influence of the dimensions of internal social capital on knowledge integration and, subsequently, ambidextrous learning.Originality/valueThis paper examines the importance of intra-organizational social capital, in terms of their cognitive (shared vision), relational (trust) and structural (social interaction ties) dimensions, for explorative and exploitative learning in project-based organizations. The analysis takes the baton of previous literature where is suggested that the three dimensions of social capital are interlocked and not just need to be considered simultaneously.
A bibliometric services workshop for subject librarians
Authors: Powell Kimberly R. , Elder Jennifer J. 
Published: October 2018

Purpose
The purpose of this paper is to report on the development and analysis of an internal bibliometric services workshop for subject librarians. Primary goals of the workshop were to create an opportunity for collegial knowledge and skill sharing, and to identify discipline specific gaps and future support requirements.

Design/methodology/approach
Two campus librarians who typically offer bibliometric support services used pre- and post-surveys to plan and assess the workshop for subject liaison librarians.

Findings
Subject librarians from across the university expressed interest in developing bibliometric support services. The 12 workshop participants (30 percent of subject librarians) support diverse areas including the humanities, social sciences, life sciences, education and outreach, and the school of business. Post-workshop survey respondents highlighted the contextualization of available measures and the appropriate application of metrics in different disciplines to be the most helpful topics covered. Finally, while the institution subscribes to several citation analysis databases, more familiarity with Google Scholar citations was requested to address user needs and preferences across the various disciplines. Most participants expressed interest in attending additional workshops.

Originality/value
This study showcases the experience of campus librarians working together across academic schools and disciplines to respond to the increasing demand for bibliometric and scholarly impact support services. While services such as citation analysis have typically been siloed in specific job descriptions or subject areas within the library, these are service areas that can benefit from internal library-collaboration opportunities and knowledge sharing.
Relevance of big data to forensic accounting practice and education
Authors: Rezaee Zabihollah , Wang Jim 
Published: October 2018

Purpose
This paper aims to examine the relevance of Big Data to forensic accounting practice and education by gathering opinions from a sample of academics and practitioners in China.

Design/methodology/approach
The authors conduct a survey of academics and practitioners regarding the desired demand, importance and content of Big Data educational skills and topics for forensic accounting education to effectively respond to challenges and opportunities in the age of Big Data.

Findings
Results indicate that the demand for and interest in Big Data/data analytics and forensic accounting will continue to increase; Big Data/data analytics and forensic accounting should be integrated into the business curriculum; many of the suggested Big Data topics should be integrated into forensic accounting education; and some attributes and techniques of Big Data are important in improving forensic accounting education and practice.

Research limitations/implications
Readers should interpret the results with caution because of the sample size (95 academics and 103 practitioners) and responses obtained from academics and practitioners in one country (China) that may not be representative of the global population.

Practical implications
The results are useful in integrating Big Data topics into the forensic accounting curriculum and in redesigning the forensic accounting courses/programs.

Social implications
The results have implications for forensic accountants in effectively fulfilling their responsibilities to their profession and society by combating fraud.

Originality/value
This study provides educational, research and practical implications as Big Data and forensic accounting are advancing.
Relative importance and priority of TBL elements on the corporate performance
Authors: Høgevold Nils M. , Svensson Göran , Rodriguez Rocio , Eriksson David 
Published: October 2018

PurposeThe purpose of this paper is to examine to what extent that a selection of economic, social and environmental factors is taken into corporate consideration (importance and priority) the longitudinal aspects of sustainable business practices.Design/methodology/approachThis study is based on an inductive approach taking into account the longitudinal aspects and an in-depth case study of a Scandinavian manufacturer recognized for its initiatives and achievements of sustainable business practices.FindingsThe key informants indicated that economic factors are always important when it comes to sustainable business practices, social factors are to some extent important, and the environmental factors are generally important.Research limitations/implicationsThe planning, implementation and follow-up of sustainable business practices and related efforts require a consideration of economic, social and environmental factors.Practical implicationsThe framework of a triple bottom line (TBL) dominant logic for business sustainability applied may guide the corporate assessment to plan, implement and follow-up the importance and priority of the longitudinal aspects of sustainable business practices.Originality/valueA TBL dominant logic for sustainable business practices adequately frames corporate efforts regarding importance and priority making a relevant contribution addressing the longitudinal aspects to complement existing theory and previous studies.
The internal determinants of bank profitability and stability
Authors: Ali Muhammad , Puah Chin Hong 
Published: October 2018

PurposeThe purpose of this study is to examine the internal determinants of bank profitability and stability in Pakistan banking sector. Because of specific research objectives, this study excludes the external factors of profitability and stability to find the role of bank internal determinants in achieving high performance.Design/methodology/approachA panel regression analysis is built on a balanced panel data using 24 commercial banks over the sample period of 2007-2015. The authors performed a separate analysis of bank profitability and stability. Both models used a comprehensive set of bank internal determinants.FindingsThe results that were obtained from profitability model indicated that bank size, credit risk, funding risk and stability have statistically significant impacts on profitability, while liquidity risk showed the statistically insignificant impact on profitability. Regression findings from stability model reveal that bank size, liquidity risk, funding risk and profitability have statistically significant impacts on stability, while credit risk had an insignificant effect on stability. However, the effect of the financial crisis is uniform and showed statistically insignificant impact in both models.Practical implicationsOverall, the authors’ findings bring some new but useful insights to the banking literature. Some recommendations may be functional for the sustainable performance of banks.Originality/valueIn view of study results, the authors provide interesting insights into the practices and characteristics of banks in Pakistan. This study also highlights significant bank internal determinants to improve understanding in the existing literature.
Prevalence and knowledge of anemia among pregnant women enrolled in Women, Infants and Children supplemental food program
Authors: Zhang Qingyi , Rojhani Arezoo , Gulló-Rivera Angel , Kwak Sunmin 
Published: October 2018

Purpose
Although anemia during pregnancy is common in the USA, socio-demographic factors make pregnant women enrolled in Women, Infants and Children (WIC) program more vulnerable than the general population. The purpose of this study was to examine the socio-demographic characteristics, blood hemoglobin concentrations, nutrition knowledge and potential associations among these factors in a sample of pregnant women participating in the WIC program.

Design/methodology/approach
A cross-sectional study using survey methodology was conducted. In total, 60 pregnant women who were between 12 and 24 weeks of gestation and were carrying a single fetus were recruited from two WIC clinics. Overall nutrition knowledge was assessed with 42 questions arranged into three subscales. Participants’ scores were transformed into tertiles. WIC program records were used to record blood hemoglobin values. Principal component analysis was used to validate the knowledge subscales. Correlational and multivariate regression analyses were conducted to examine the relationship among variables.

Findings
Prevalence of anemia among the participants was higher than the national averages. Only 10 per cent of participants scored in the high tertile for nutrition knowledge. Anemia-during-pregnancy knowledge score was positively correlated with blood hemoglobin concentrations (r = 0.23, p < 0.05), and it was also a predictor of blood hemoglobin levels (R2 = 0.364, p = 0.02).

Originality/value
This is the first study to report on the knowledge of anemia, anemia during pregnancy and preventive measures among pregnant women enrolled in the WIC program.
Effect of build orientation and part thickness on dimensional distortion in material jetting processes
Authors: Khoshkhoo Ali , Carrano Andres L. , Blersch David M. 
Published: October 2018

Purpose
The purpose of this paper is to elucidate the effect of part thickness and build orientation upon the type and magnitude of distortion in material jetting processes.

Design/methodology/approach
Specimens with high (10:1) aspect ratio were printed in two orientations (XY and YX) and three thickness values (1, 3 and 6 mm) and scanned with a white-light profilometer to quantify distortion.

Findings
The results of this paper indicate that 1-mm thick specimens always distorted following a wavy edge type, while thicker specimens (3- and 6-mm) always distorted following a reverse coil set. The factor thickness, when measured with the indices height of the highest peak (H) and profile radius (R), was shown to be statistically significant, with 3-mm specimens experiencing distortions of 57 and 51 per cent, respectively, more severe than those in 6-mm specimens. The thickness effect is attributed to the percentage of build layers that receive maximum energy exposure (61-72 per cent in 1-mm, 87-91 per cent in 3-mm and 93-95 per cent in 6-mm specimens). With respect to the thinner 1-mm specimens, the factor orientation was found to be statistically significant with distortion 114 per cent less severe in the YX orientation when measured by the H index.

Originality/value
This paper provides the first known description of build orientation and part thickness effects on dimensional distortion as a pervasive consequence of the curing process in photopolymerization and explores one of the most common defects encountered in additive manufacturing. In addition to the characterization of the type and magnitude of distortion, the contributions of this paper also include establishing the foundation for design guidelines aiming at minimizing distortion in material jetting.
Empowering corporate social responsibility (CSR): insights from service learning
Authors: Huda Miftachul , Mulyadi Dedi , Hananto April Lia , Nor Muhamad Nasrul Hisyam , Mat Teh Kamarul Shukri , Don Abdul Ghafar 
Published: October 2018

Purpose
This paper aims to explore service learning with its insights in empowering corporate responsibility awareness. Attempts to build corporate responsibility widely in incorporating into the sustainability engagement could be demonstrated in fostering the transformative experiential learning with extensive evaluation and reconfiguration of existing programs. The focus on enhancing the learning experience in emphasizing the community engagement would be applied with strengthening the actual performance in encompassing the ability raising awareness about the environmental issues.

Design/methodology/approach
The approach used in this paper refers to develop the conceptual framework about the service learning with various strategies to give insight on corporate social responsibility (CSR). Incorporating the approach of conceptualizing the basis of service learning, key consideration was generated into particular enhancement of service learning in contributing to the CSR.

Findings
The finding reveals that getting benefit to serving into the community engagement may take beneficial outcomes with its valuable insight to assist in the progress of program designed with associating to enhance corporate responsibility and sustainability awareness. The advancement of the social control among the companies would be deployed within empowering service learning for CSR where sustainability awareness-based community service as embodiment of CSR should be enhanced through nurturing corporate responsibility-based transformative experiential learning. Moreover, this initiative refers to an attempt to strengthen the basis of corporate responsibility and sustainability awareness-based experiential learning, which could enlarge creative thinking with envisioning sustainability and corporate responsibility.

Originality/value
This study is expected to contribute to the experiential learning to enhance the sustainability within the learning setting engaged in achieving what to contribute to the environmental concern. In creating the situation where the balance between serving and learning can be achieved, attempts to encourage them in joining the service learning program should be collaborated with orienting both personal and social community oriented comprehensively in underlying the responsibility awareness, the sustainability-based moral values. These aim to enhance the understanding stage about the care for protecting the environmental concern within learning experience with the goal to produce responsible awareness especially by economic agents such as shareholders, managers, regulators and active participants to promote sustainable benefits.
Measuring shared value in multinational corporations
Authors: Laudal Thomas 
Published: October 2018

Purpose
According to the paper “Creating shared value” (CSV) (Porter and Kramer, 2011), three specific strategies will expand the firm’s pool of available economic and social values and improve businesses’ competitive position over time. However, firms’ performances are not systematically compared to validate this claim. The purpose of this paper is to suggest a path towards delineating CSV to validate the claim and to contribute to the foundation of an industry-specific ranking based on CSV.

Design/methodology/approach
This paper attempts to delineate CSV based on relevant literature, including the critique of CSV, to measure CSV empirically. The suggested indicators of CSV are based on an interpretation of Porter and Kramer (2011) referring to a market-centric approach to corporate social responsibility (CSR).

Findings
None of the CSV strategies proposed by Porter and Kramer (2011) are new to the academic literature, though several scholars argue that these strategies, taken together, characterize prosperous multinational corporations (MNCs).

Research limitations/implications
The relevance and usefulness of the indicators presented here will vary among industries.

Practical implications
CSV indicators may be the source for an industry-specific ranking of MNCs. An index based on these indicators may reveal systematic differences between industries.

Social implications
A CSV index would include synergies between commercial and CSR-related performances of firms. If a CSV index attracts international attention, the rank of an MNC would indicate to what degree MNCs succeed in integrating their commercial and CSR-related strategies and influence the valuation of firms.

Originality/value
A CSV index based on these indicators enables to rank MNCs according to both commercial, social and environmental criteria, and thereby transcend the divide between CSR indexes and commercial indexes.
Five‐year follow up of a low glycaemic index dietary randomised controlled trial in pregnancy—no long‐term maternal effects of a dietary intervention
Authors: O'Brien EC , Geraghty AA , O'Sullivan EJ , Riordan JA , Horan MK , Larkin E , Donnelly J , Mehegan J , Twomey PJ , McAuliffe FM 
Published: October 2018

ObjectiveTo determine whether a dietary intervention in pregnancy had a lasting effect on maternal outcomes of diet, HbA1c and weight retention 5 years post‐intervention; and to establish whether modifiable maternal behaviours were associated with these outcomes.DesignRandomised control trial of low glycaemic index (GI) diet in pregnancy with longitudinal follow up to 5 years post‐intervention.SettingDublin, Ireland (2007–2016).PopulationIn all, 403 women of 759 (53.1%) were followed up at 5 years. A total of 370 (intervention n = 188; control n = 182) were included in this analysis.MethodsFasting glucose was measured at 13 and 28 weeks’ gestation and HbA1c (mmol/mol) at 5‐year follow up. Weight retention (kg) from early pregnancy to 5 years post‐intervention was calculated. Dietary intakes, anthropometry, and lifestyle factors were measured in pregnancy and 5 years post‐intervention. Multiple linear regression models, controlling for confounders, were used for analysis.OutcomeMaternal diet, HbA1c, and weight retention at 5 years post‐intervention.ResultsThere was no difference between the intervention and control at 5 years post‐intervention for any long‐term maternal outcomes measured. HbA1c at 5 years post‐intervention was associated with early‐pregnancy fasting glucose (B 1.70, 95% CI 0.36–3.04) and parity ≥3 (B 1.04, 95% CI 0.09–1.99). Weight retention was associated with change in well‐being from pregnancy to 5 years (B −0.06, 95% CI −0.11 to −0.02), gestational weight gain (B 0.19, 95% CI 0.00–0.38), and GI (B 0.26, 95% CI 0.06–0.46) at 5 years.ConclusionsThe ROLO low‐GI dietary intervention in pregnancy had no impact on maternal dietary intakes, HbA1c or body composition 5 years post‐intervention. Maternal factors and lifestyle behaviours in pregnancy have long‐term effects on glucose metabolism and weight retention up to 5 years later.Tweetable abstractPregnancy factors are associated with maternal glucose metabolism and weight retention 5 years later—findings from the ROLO Study.
Chlorate and Other Oxychlorine Contaminants Within the Dairy Supply Chain
Authors: McCarthy William P. , O'Callaghan Tom F. , Danahar Martin , Gleeson David , O'Connor Christine , Fenelon Mark A. , Tobin John T. 
Published: October 2018

AbstractThe presence of chlorate in milk and dairy products can arise from the use of chlorinated water and chlorinated detergents for cleaning and sanitation of process equipment at both farm and food processor level. Chlorate and other oxychlorine species have been associated with inhibition of iodine uptake in humans and the formation of methemoglobin, with infants and young children being a high‐risk demographic. This comprehensive review of chlorate and chlorine derivatives in dairy, highlights areas of concern relative to the origin and/or introduction of chlorate within the dairy supply chain. This review also discusses the associated health concerns, regulations, and chemical behavior of chlorate and chlorine‐derived by‐products, and provides a summary of mechanisms for their detection and removal.
Developing an automated iterative near‐term forecasting system for an ecological study
Authors: White Ethan P. , Yenni Glenda M. , Taylor Shawn D. , Christensen Erica M. , Bledsoe Ellen K. , Simonis Juniper L. , Ernest S. K. Morgan 
Published: October 2018

AbstractMost forecasts for the future state of ecological systems are conducted once and never updated or assessed. As a result, many available ecological forecasts are not based on the most up‐to‐date data, and the scientific progress of ecological forecasting models is slowed by a lack of feedback on how well the forecasts perform.Iterative near‐term ecological forecasting involves repeated daily to annual scale forecasts of an ecological system as new data becomes available and regular assessment of the resulting forecasts. We demonstrate how automated iterative near‐term forecasting systems for ecology can be constructed by building one to conduct monthly forecasts of rodent abundances at the Portal Project, a long‐term study with over 40 years of monthly data. This system automates most aspects of the six stages of converting raw data into new forecasts: data collection, data sharing, data manipulation, modelling and forecasting, archiving, and presentation of the forecasts.The forecasting system uses R code for working with data, fitting models, making forecasts, and archiving and presenting these forecasts. The resulting pipeline is automated using continuous integration (a software development tool) to run the entire pipeline once a week. The cyberinfrastructure is designed for long‐term maintainability and to allow the easy addition of new models. Constructing this forecasting system required a team with expertise ranging from field site experience to software development.Automated near‐term iterative forecasting systems will allow the science of ecological forecasting to advance more rapidly and provide the most up‐to‐date forecasts possible for conservation and management. These forecasting systems will also accelerate basic science by allowing new models of natural systems to be quickly implemented and compared to existing models. Using existing technology, and teams with diverse skill sets, it is possible for ecologists to build automated forecasting systems and use them to advance our understanding of natural systems.