bluuebunny/crossref_metadata_2025_split huggingface dataset:
The analysis of the energy consumption of Chinese manufacturing based on the combination forecasting model
Authors: Yao Tianxiang , Cheng Wenrong 
Published: February 2015

Purpose
– The purpose of this paper is to find a method that has high precision to forecast the energy consumption of China’s manufacturing industry. The authors hope the predicted data can provide references to the formulation of government’s energy strategy and the sustained growth of economy in China.

Design/methodology/approach
– First, the authors respectively make use of regression prediction model and grey system theory GM(1,1) model to construct single model based the data of 2001-2010, analyze the advantages and disadvantages of single prediction models. The authors use the data of 2011 and 2012 to test the model. Second, the authors propose combination forecasting model of manufacturing’s energy consumption in China by using standard variance to allocate the weight. Finally, this model is applied to forecast China’s manufacturing energy consumption during 2013-2016.

Findings
– The result shows that the combination model is a better one with higher accuracy; the authors can take the model as an effective tool to predict manufacturing’s energy consumption in China. And the energy consumption of China’s manufacturing industry continued to show a steady incremental trend.

Originality/value
– This method takes full advantages of the effective information reflected by the single model and improves the prediction accuracy.
Estimating civil aircraft’s research and manufacture cost by using grey system model and neural network algorithm
Authors: Xie Naiming 
Published: February 2015

Purpose
– The purpose of this paper is to propose novel civil aircraft cost parameters’ selection method and novel cost estimation approach for civil aircraft so as to effectively simulate or forecast civil aircraft cost under poor information and small sample.

Design/methodology/approach
– Based on existent cost estimation indexes, this paper summarized civil aircraft research and manufacturing cost impact index system and adopted grey relational model to select most important impact factors. Consider civil aircrafts’ cost information could not be easily collected, the author must estimate their costs with limited sample and poor information. A combination model of GM (0, N) model and BP neural network algorithm is proposed. Both advantages of simulation of BP neural network algorithm and poor information generation of GM (0, N) were effectively combined. Then steps of combined model were given out. Finally, nine types of aircrafts were used to test the validity of proposed model. As comparing with the traditional multiple linear regression model and simple GM (0, N) model, results indicated that proposed model can do the work better.

Findings
– Grey relational model can be applied for parameters’ selection and combined GM (0, N) model and BP neural network algorithm can estimate aircraft’s cost as well. Results show that novel combined model could get high forecasting accuracy.

Practical implications
– Cost estimation is key problem in production management of civil aircraft. Effective cost management could promote competitiveness of aircraft manufacturing company. Proposed combined model can be applied for civil aircraft cost estimation. Similarly, it could be applied for other complex equipment cost estimation.

Originality/value
– The paper succeeds in proposing grey relational model for cost parameters’ selection and constructing a combination model of GM (0, N) model and BP neural network algorithm. Algorithm of the proposed model was discussed and steps were given out.
Using Lean Six Sigma to improve investment behavior
Authors: Peteros Randall G. , Maleyeff John 
Published: February 2015

Purpose
– This paper aims to use Lean Six Sigma (LSS) and consumption mapping concepts to develop a disciplined methodology for a self-directed investor so that adverse decision-making behaviors are avoided. Classical financial theories assume that individuals maximize expected utility by arriving at financial decisions in a rational manner. But, over time, investor performance has lagged behind corresponding market performance. Despite these results and research on their causes, investors continue to repeat systematic mistakes leading to suboptimal financial outcomes.

Design/methodology/approach
– Consumption maps are developed based on behavioral finance research that shows why investors make predictable and costly errors in their decision making. The authors show that the contemporary methodologies within LSS, used successfully in the manufacturing and service sectors, can be used to enforce rationality in investing.

Findings
– The approach proposed herein provides a new framework that researchers should be able to test in practice. By applying a structured, disciplined approach based on the Design-Measure-Analyze-Improve-Control (DMAIC) methodology of LSS, it is posited that the gap between financial theory and actual results can be bridged.

Originality/value
– Rather than hoping to avoid irrational behavior through self-awareness of behavioral biases, the DMAIC approach will standardize self-directed investor decision-making so that discipline is enforced.
Experimental assessment of the productivity improvement when using U-shaped production cells with variable takt time
Authors: Pujo Patrick , El Khabous Ilham , Ounnar Fouzia 
Published: February 2015

Purpose
– The aim of this research is to discuss the benefits of U-shaped layout for production cell operating in variable takt time. Different experiments were conducted using benchmarks to highlight the performance gap between a linear cell and a U-Cell.

Design/methodology/approach
– The implementation of the production cell, either in a U-shaped or in a straight line layout, is optimized through linear programming based on the number of operators. The two corresponding programs, in Mosel language, use the same approach to not introduce bias in the comparison of results. The study used the authors’ own datasets and other well-known academic benchmarks.

Findings
– A comparison was conducted between the obtained takt times, with equivalent operating conditions, in both U-Cell and linear cell. A significant increase of the production rate was observed. This increase has often exceeded 10 per cent, reaching 32 per cent. All the experiments show that, with the same number of operators, a cell in a U-shaped layout is always at least as efficient, in terms of attainable production rates, than an equivalent linear cell. Ninety-six per cent of the studied cases give an improvement of production rate. Moreover, the dispersion of the U-Cell results is weaker, which suggests that the U-shaped layout gives better performances in more robust manner.

Research limitations/implications
– Results were obtained through a study of various academic benchmarks. The results must be validated on industrial situations.

Practical implications
– This paper will be very useful for researchers and practitioners to understand lean implementations and their derived benefits. This paper will allow them to evaluate and analyze the expected benefits of the implementation of the production cell in the U-shaped layout (operating in variable takt time).

Originality/value
– U-Cells constitute an appropriate solution for a layout of any kind of production cells with a variable structure (variability of the number of operators, of the organization of the cell, of the takt time […]). When facing a significant variation in the demand, the response consists of adjusting the number of operators assigned to the cell. This study jointly addresses the problem of the U-shaped layout and the operation in variable takt time.
Lean office in health organization in the Brazilian Army
Authors: da Silva Iris Bento , Seraphim Everton Cesar , Agostinho Oswaldo Luiz , Lima Junior Orlando Fontes , Batalha Gilmar Ferreira 
Published: February 2015

Purpose
– The purpose of this paper is to present management techniques in the healthcare sector through lean office.

Design/methodology/approach
– A case study approach is adopted, with data collected in the Brazilian military organization.

Findings
– The findings identify several ways to apply lean concepts outside manufacturing. From this, a future lean office health state design will be proposed.

Research limitations/implications
– The lean office health proposal has to be tested in other organizations to confirm this case study. While this may limit the generalization of the findings, there is value in demonstrating the benefits modern lean office techniques can bring to the developing world healthcare.

Practical implications
– The paper shows that lean office health techniques can provide benefits to healthcare in developing countries' hospitals and others.

Originality/value
– The value of the paper arises from providing a detailed analysis of a healthcare lean office in the developing world. There have been only a small number of other studies published in the literature about lean office health.
Theories in sustainable supply chain management: a structured literature review
Authors: Touboulic Anne , Walker Helen 
Published: February 2015

Purpose– The purpose of this paper is to investigate theoretical perspectives in sustainable supply chain management (SSCM) and contributes to understanding the current state of research in the field and its future development.Design/methodology/approach– This paper conducts a structured literature review and aims at mapping the use of theories in the field. The authors assess the current state of research, looking in more details at popular theories, and propose possible future avenues for the field to develop.Findings– Theory-building efforts in SSCM remain scarce, with the predominance of a few popular imported macro theories (resource-based view (RBV), stakeholder theory and institutional theory) having implications on the conceptualisation of SSCM and the topics researched to date. More theoretical contributions can potentially emerge from the adoption of original methodologies, the investigation of under-explored aspects of SSCM and the testing of recently developed frameworks.Research limitations/implications– Drawing on the analysis the authors propose an overarching map of popular theories in SSCM and define potential avenues towards the maturation of the discipline. A number of propositions are offered to guide future research. This study constitutes a first step towards understanding how theories in SSCM are developing and how SSCM has been conceptualised.Originality/value– The originality of this paper lies in its analytical focus on theories in SSCM, which have not been mapped to date.
Research on the phenomenon of supply chain resilience
Authors: Hohenstein Nils-Ole , Feisel Edda , Hartmann Evi , Giunipero Larry 
Published: February 2015

Purpose– This paper provides a robust and structured literature review on supply chain resilience (SCRES), the supply chain’s ability to be prepared for unexpected risk events, responding and recovering quickly to potential disruptions to return to its original situation or grow by moving to a new, more desirable state. The purpose of this paper is to analyze the extant research through focussed questions and provide an insightful framework with propositions to guide further publications and identify future research needs.Design/methodology/approach– The findings underlie a systematic literature review methodology requiring a robust method of literature analysis. The sand cone model is adopted to develop a comprehensive SCRES framework.Findings– The literature review reveals a strong need for an overarching SCRES definition and a clear terminology for its building elements. It indicates that most research has been qualitative and lacks in assessing and measuring SCRES performance.Originality/value– This paper contributes a structured overview of 67 peer-reviewed articles from 2003 to 2013 on an emerging area of supply chain research. The review formulates an overarching definition of SCRES, groups and synthesizes the various SCRES elements into proactive and reactive strategies for the ex-ante/ex-post disruption stage and illustrates SCRES measurement through performance metrics. It provides a comprehensive SCRES framework with propositions and indicates gaps in the literature to target for further development.
Financial marketization and corporate venturing in China
Authors: Dai Weiqi , Alon Ilan , Jiao Hao 
Published: February 2015

Purpose– The paper aims to empirically examine the role of intra-national institutions in business performance. In particular, the article develops hypotheses regarding financial marketization and business venturing with organizational slack and political connections as moderating variables.Design/methodology/approach– The authors choose listed firms from the pharmaceutical industry in China and focus on the period of 2001-2009. Results from the Hausman specification test indicate that the random effects model is appropriate for data. Because the dependent variable is dichotomous, the random effects logistic regression technique in Stata is used. To check the robustness of the estimation, the random-effects Tobit regression technique in Stata is also used. Overall, models are robust and statistically significant.Findings– It was found that the level of regional financial sector marketization is positively associated with the likelihood of engaging in corporate venturing by firms within the region. Moreover, it was found that organizational slack significantly decreases the institutional influence on corporate venturing.Originality/value– This study is one of the first to theorize and empirically test the impact of intra-national institutions on corporate venturing in China’s pharmaceutical industry. Institutions matter more when organizational slack is low. Firms in the pharmaceutical industry in China do not seem completely dependent on political connections for business venturing and use organizational slack to buffer against (adverse) institutional change.
Resolving authorization conflicts by ontology views for controlled access to a digital library
Authors: Dasgupta Subhasis , Pal Pinakpani , Mazumdar Chandan , Bagchi Aditya 
Published: February 2015

Purpose
– This paper provides a new Digital Library architecture that supports polyhierarchic ontology structure where a child concept representing an interdisciplinary subject area can have multiple parent concepts. The paper further proposes an access control mechanism for controlled access to different concepts by different users depending on the authorizations available to each such user. The proposed model thus provides a better knowledge representation and faster searching possibility of documents for modern Digital Libraries with controlled access to the system.

Design/methodology/approach
– Since the proposed Digital Library Architecture considers polyhierarchy, the underlying hierarchical structure becomes a Directed Acyclic Graph instead of a tree. A new access control model has been developed for such a polyhierarchic ontology structure. It has been shown that such model may give rise to undecidability problem. A client specific view generation mechanism has been developed to solve the problem.

Findings
– The paper has three major contributions. First, it provides better knowledge representation for present-day digital libraries, as new interdisciplinary subject areas are getting introduced. Concepts representing interdisciplinary subject areas will have multiple parents, and consequently, the library ontology introduces a new set of nodes representing document classes. This concept also provides faster search mechanism. Secondly, a new access control model has been introduced for the ontology structure where a user gets authorizations to access a concept node only if its credential supports it. Lastly, a client-based view generation algorithm has been developed so that a client’s access remains limited to its view and avoids any possibility of undecidability in authorization specification.

Research limitations/implications
– The proposed model, in its present form, supports only read and browse facilities. It would later be extended for addition and update of documents. Moreover, the paper explains the model in a single user environment. It will be augmented later to consider simultaneous access from multiple users.

Practical implications
– The paper emphasizes the need for changing the present digital library ontology to a polyhierarchic structure to provide proper representation of knowledge related to the concepts covering interdisciplinary subject areas. Possible implementation strategies have also been mentioned. This design method can also be extended for other semantic web applications.

Originality/value
– This paper offers a new knowledge management strategy to cover the gradual proliferation of interdisciplinary subject areas along with a suitable access control model for a digital library ontology. This methodology can also be extended for other semantic web applications.
Development of ontology from Indian agricultural e-governance data using IndoWordNet: a semantic web approach
Authors: Sinha Bhaskar , Chandra Somnath , Garg Megha 
Published: February 2015

Purpose
– The purpose of this explorative research study is to focus on the implementation of semantic Web technology on agriculture domain of e-governance data. The study contributes to an understanding of problems and difficulties in implantations of unstructured and unformatted unique datasets of multilingual local language-based electronic dictionary (IndoWordnet).

Design/methodology/approach
– An approach to an implementation in the perspective of conceptual logical concept to realization of agriculture-based terms and terminology extracted from linked multilingual IndoWordNet while maintaining the support and specification of the World Wide Web Consortium (W3C) standard of semantic Web technology to generate ontology and uniform unicode structured datasets.

Findings
– The findings reveal the fact about partial support of extraction of terms, relations and concepts while linking to IndoWordNet, resulting in the form of SynSets, lexical relations of Words and relations between themselves. This helped in generation of ontology, hierarchical modeling and creation of structured metadata datasets.

Research limitations/implications
– IndoWordNet has limitations, as it is not fully revised version due to diversified cultural base in India, and the new version is yet to be released in due time span. As mentioned in Section 5, implications of these ideas and experiments will have good impact in doing more exploration and better applications using such wordnet.

Practical implications
– Language developer tools and frameworks have been used to get tagged annotated raw data processed and get intermediate results, which provides as a source for the generation of ontology and dynamic metadata.

Social implications
– The results are expected to be applied for other e-governance applications. Better use of applications in social and government departments.

Originality/value
– The authors have worked out experimental facts and raw information source datasets, revealing satisfactory results such as SynSets, sensecount, semantic and lexical relations, class concepts hierarchy and other related output, which helped in developing ontology of domain interest and, hence, creation of a dynamic metadata which can be globally used to facilitate various applications support.
SKO Types: an entity-based scientific knowledge objects metadata schema
Authors: Xu Hao , Giunchiglia Fausto 
Published: February 2015

Purpose
– This paper aims to propose an entity-based scientific metadata schema, i.e. Scientific Knowledge Object (SKO) Types. During the past 50 years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative.

Design/methodology/approach
– To describe entities in scientific knowledge, the theory of SKO Types is proposed. SKO Types is an entity-based theory for representing and linking SKOs. It defines entities, relationships between entities and attributes of each entity in the scientific domain.

Findings
– In scientific knowledge management, SKO Types serves as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs.

Originality/value
– SKO Types can be widely applied in various digital libraries and scientific knowledge management systems, while for the existing legacy of scientific publications and their associated metadata schemas.
Enabling organizations to implement smarter, customized social computing platforms by leveraging knowledge flow patterns
Authors: Chandra Ramesh , Iyer Reethika S , Raman Ramakrishnan 
Published: February 2015

Purpose– The purpose of this study was to understand the knowledge sharing in projects based on knowledge flow patterns. The impact of attrition, thereby leading to a loss of tacit knowledge, inability to capture and reuse knowledge and inability to understand the knowledge flow patterns, which leads to lack of structured workspace collaboration, are frequently faced challenges in organizations. The change in knowledge sourcing behaviors by the current generation workforce has a high reaching impact in driving collaboration among employees.Design/methodology/approach– This paper attempts to study this impact and identify means to improve the effectiveness of collective knowledge sharing via social computing platforms. As part of this study, customized solutions are devised based on knowledge flow patterns prevalent in teams. Knowledge network analysis (KNA), a socio-metric analysis, is performed to understand knowledge flow patterns among employees in a team which helps understand the relationships between team members with respect to knowledge sharing. KNA helps in understanding ties and interactions between human and system resources.Findings– Significant changes were observed in knowledge sourcing and sharing behaviors. Capture of the tacit knowledge of employees further resulted in reducing the impact of knowledge attrition. For instance, targeted communities of practice (CoPs) based on the presence of cliques within teams enabled teams to complete projects effectively and efficiently.Practical implications– The results are used to identify push and pull networks to enable effective knowledge management (KM). Results of this study reveal that analyzing knowledge flow patterns in a team and deploying a customized social computing platform that is tailored to address the needs of specific knowledge flow patterns within that team, significantly enhances collaborative sharing as opposed to a standardized “one-size-fits-all” platform.Originality/value– This paper is an original creation after research by the authors for a continuous assessment of KM within the organization.