bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supply chain flexibility and mass personalization: a systematic literature review
Authors: R. Novais Luciano , Maqueira Juan M. , Bruque Sebastián 
Published: August 2019

PurposeThis paper aims to explore the current state of research on supply chain flexibility (SCF) and mass personalization (MP) to identify the literature findings to date, research gaps and to provide guidelines for future research in this area.Design/methodology/approachA systematic literature review of 64 papers was undertaken to address the use of SCF as a productive response to MP environments. The methodology used is made up of five steps: formulation of the research questions, identification of studies, selection and evaluation of studies, analysis and synthesis and presentation of the results.FindingsThree main research topics have been identified: personalization levels and flexible processes in supply chain, where flexible processes in supply chain are analysed as a productive response to high levels of MP; supply chain collaborative processes for SCF and MP, where product co-creation and relationships between supply chain members is analysed; and SCF and MP enabling technologies, in which technologies to support MP implementation and SCF are considered. Each of these three main topics have been divided into research lines and research sublines that allowed identifying a positive relationship between the SCF and the MP strategies.Research limitations/implicationsSystematic literature review is a methodology reliable and recommended by a large number of scientific papers. However, it depends on available and accessible research studies and the researcher’s criteria. The selection of certain criteria for inclusion and exclusion of papers introduces publication bias, which should be considered an intrinsic limitation to systematic literature review.Originality/valueThe main literature findings in each research line and subline related to the SCF-MP relationship are identified and analysed. Furthermore, research gaps and further research lines in the SCF-MP area are highlighted. The information presented in this paper improves the literature on the advances in the SCF use as a productive response to MP environments.
Environmental management in small and medium enterprises: the role of customer orientation and firm performance
Authors: Lee Euehun , Jo Sang Hyun , Jeong Haeyoung 
Published: August 2019

PurposeThe purpose of this study is to explore the antecedents and effects of environmental management (EM) and its related factors on firm performance from the perspective of small and medium-sized enterprises (SMEs). Most previous studies have focused on determining the effects of environmental efforts on environmental performance. This study aims to illustrate that effective EM – along with other factors such as customer emphasis, recognition and capabilities – generates positive firm performance for SMEs. Additionally, the stdy aims to show evidence that EM is worth proactively pursuing rather than being viewed as a burden and being subject to reactive task by SMEs.Design/methodology/approachThe authors collected data via a questionnaire from 300 SMEs through a professional research company. They then used the data to assess a model and determine the relationships between the different constructs using structural equation modeling.FindingsThe results testify to the optimal structure between the study’s constructs: customer emphasis on EM, recognition and implementation of EM, capabilities and the performance of SMEs that have implemented EM. The main finding is that EM has a positive relationship to firm performance.Originality/valueThis study’s findings could likely persuade SMEs and policymakers to more proactively engage in EM. It also contributes to offer evidence that customer orientation plays an important role in SMEs’ implementation of EM and its impact on firm performance.
Wanting it all – public perceptions of the effectiveness, cost, and privacy of surveillance technology
Authors: Cayford Michelle , Pieters Wolter , van Gelder P.H.A.J.M 
Published: August 2019

Purpose
This study aims to explore how the public perceives the effectiveness of surveillance technology, and how people’s views on privacy and their views on effectiveness are related. Likewise, it looks at the relation between perceptions of effectiveness and opinions on the acceptable cost of surveillance technology.

Design/methodology/approach
For this study, surveys of Dutch students and their parents were conducted over three consecutive years.

Findings
A key finding of this paper is that the public does not engage in a trade-off neither with regard to privacy-effectiveness (exchanging more effectiveness for less privacy and vice versa) nor with effectiveness-cost, but rather expects all three elements to be achieved simultaneously. This paper also found that the correlation between perceived effectiveness and perceived privacy was stronger for parents than for students.

Research limitations/implications
Participants for this study were exclusively in The Netherlands. Survey questions on the effectiveness of surveillance technology focused on one type of technology, and on private mobile device use in two scenarios.

Social implications
The public’s perceptions of the effectiveness of surveillance technology potentially influence its acceptance of the technology, which, in turn, can affect the legitimacy and use of the technology.

Originality/value
Within the much-discussed privacy-security debate lies a less-heard debate – that of the effectiveness of the surveillance technology in question. The public is one actor in this debate. This study examines the public’s perceptions of this less-heard debate.
Mergers and acquisitions: the latest university fashion?
Authors: Czarniawska Barbara 
Published: August 2019

PurposeThis paper aims to describe and explain a contemporary phenomenon.Design/methodology/approachThis is an analysis of research reports and fiction texts.FindingsUniversities use mergers and acquisitions to improve their ranking positions, ignoring the effects on research and teaching.Research limitations/implicationsMore attention should be paid to current managerial fashions.Practical implicationsAn opposition to thoughtless fashion following may lead to positive changes.Social implicationsIf you mean “societal implications”, the state of universities is very important to democratic societies.Originality/valueThese are not for the author to judge.
Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace
Authors: Pahwa Deepak , Starly Binil 
Published: August 2019

Purpose
This paper presents approaches to determine a network-based pricing for 3D printing services in the context of a two-sided manufacturing-as-a-service marketplace. The purpose of this study is to provide cost analytics to enable service bureaus to better compete in the market by moving away from setting ad hoc and subjective prices.

Design/methodology/approach
A data mining approach with machine learning methods is used to estimate a price range based on the profile characteristics of 3D printing service suppliers. The model considers factors such as supplier experience, supplier capabilities, customer reviews and ratings from past orders and scale of operations, among others, to estimate a price range for suppliers’ services. Data were gathered from existing marketplace websites, which were then used to train and test the model.

Findings
The model demonstrates an accuracy of 65 per cent for US-based suppliers and 59 per cent for Europe-based suppliers to classify a supplier’s 3D printer listing in one of the seven price categories. The improvement over baseline accuracy of 25 per cent demonstrates that machine learning-based methods are promising for network-based pricing in manufacturing marketplaces

Originality/value
Conventional methodologies for pricing services through activity-based costing are inefficient in strategically priced 3-D printing service offering in a connected marketplace. As opposed to arbitrarily determining prices, this work proposes an approach to determine prices through data mining methods to estimate competitive prices. Such tools can be built into online marketplaces to help independent service bureaus to determine service price rates.
Personalized design of part orientation in additive manufacturing
Authors: Yu Cong , Qie LongFei , Jing ShiKai , Yan Yan 
Published: August 2019

Purpose
Orientation determination is an essential planning task in additive manufacturing (AM) because it directly affects the part quality, build time, geometric tolerance, fabrication cost, etc. This paper aims to propose a negative feedback decision-making (NFDM) model to realize the personalized design of part orientation in AM process.

Design/methodology/approach
NFDM model is constructed by integrating two sub-models: proportional–integral–derivative (PID) negative feedback control model and technique for order preference by similarity to an ideal solution (TOPSIS) decision-making model. With NFDM model, a desired target is first specified by the user. Then, the TOPSIS decision model calculates the “score” for the current part orientation. TOPSIS decision model is modified for ease of control. Finally, the PID controller automatically rotates the part based on the error between the user-specified target and the calculated “score”. Part orientation adjustment is completed when the error is eliminated. Five factors are considered in NFDM model, namely, surface roughness, support structure volume, geometric tolerance, build time and fabrication cost.

Findings
The case studies of turbine fan and dragon head indicate that the TOPSIS model can be perfectly integrated with the PID controller. This work extends the proposed model to different AM processes and investigates the feasibility of combining different decision-making models with PID controller and the effects of including various evaluation criteria in the integrated model.

Originality/value
The proposed model innovatively takes the TOPSIS decision-making model and the PID control model as a whole. In this way, the uncontrollable TOPSIS model becomes controllable, so the proposed model can control the TOPSIS model to achieve the user-specified targets.
Demand planning as a tamer and trigger of operational risk disruptions: evidence from the European supply chains
Authors: Swierczek Artur , Szozda Natalia 
Published: August 2019

PurposeThe purpose of this paper is to explore the effects of demand planning practices on the disruptions induced by operational risk. The study reveals whether the negative consequences of operational risk factors (covering demand, supply, control and process risks) can be absorbed or amplified through the application of specific demand planning practices in supply chains.Design/methodology/approachThe study involves the partial least squares path model procedure. Likewise, the items of the constructs in the outer model were subjected to a purification process by principal component analysis with the orthogonal (varimax) and oblique (Promax) methods of rotation.FindingsThe findings suggest that although one may not observe uniformity and standardization in the role of demand planning in alleviating the negative effects of operational risks, still some regularities can be obtained. Having said that some demand planning practices tend to mitigate or reinforce disruptions driven by operational risk, whereas the other practices simultaneously absorb and amplify disruptions driven by operational risk.Practical implicationsThe study shows that different managerial instruments, which are not inherently dedicated to risk management, when appropriately applied, may have an indirect impact on the mitigation of supply chain risk. In particular, the concept of demand planning might be very helpful for managers when dealing with demand and control risks.Originality/valueThe study simultaneously examines a more detailed bundle of practices forming the demand planning process. The research attempts to investigate the link between the demand planning process and operational risk consequences, derived from all sources (supply, demand, process and control). The paper shows that risk management is not a sole tool to mitigate disruptions. Among the concepts, which contribute to decrease risks is the demand planning process. The study demonstrates that the demand planning process when applied as a component of supply chain management, may contribute to mitigate certain operational risks.
Human resource information systems: a strategic contribution to HRM
Authors: Irum Ayesha , Yadav Rama Shankar 
Published: August 2019

Purpose
The article presents an overview of the Human Resources Information Systems (HRIS) and its relevance in the current organizational context. It broadly captures the advantages of HRIS and the significant challenges involved in its implementation and succeeding stages.

Design/methodology/approach
A string of research articles in the domain is reviewed for the briefing.

Findings
HRIS is salient in supplementing various Human Resource (HR) functions ranging from HR planning to performance management. It can act as a catalyst in establishing the significance of HR in strategic decision making. It helps managers to effectively store large amounts of employee data and draw inferences from it to make pro-employee decisions. However, despite being relevant in HR functions, HRIS is often surrounded by concerns like employee privacy breach and misuse of information.

Originality/value
The article showcases the transformation of the Human Resource function to strengthen its strategic position in the organization and sustain HR professionals. Adoption of HRIS helps to convert HR to a data-driven function.
Incorporating Blockchain technology in construction management
Authors: Safa Mahdi , Baeza Sylvia , Weeks Kelly 
Published: August 2019

Purpose
This study explores the use of Blockchain technology as a new solution to many current problems in construction information management. The study shows that Blockchain has the potential to address several issues such as confidentiality, provenance tracking; monitoring channel and ledger metrics; disintermediation; non-repudiation; change tracing; multiparty aggregation; traceability inter-organizational recordkeeping; and data ownership.

Design
A systematic analysis of a paper published, “Potentials of Blockchain Technology for Construction Management,” is offered. The structured results are provided for the purpose of contributing to the discussion of the topic.

Findings
The results of this study shows that the suitable position for the integration of Blockchain is the interface-points of the transaction processing component of the Building Information Modeling server. This technology also can help in controlling and fingerprinting all information exchanges and communication. The conclusion drawn from the study provides a foundation from which further research can be developed.

Originality and Value
The findings of this study will help construction project managers and senior executives with a deeper understanding of Blockchain technology and its long-term implications for the construction industry; coupled with knowledge of its relationship to other emerging technologies such as BIM. Propositions for smart contracts deployment and further research are suggested.
The impact of corporate social responsibility on earnings management practices: evidence from Saudi Arabia
Authors: Habbash Murya , Haddad Lara 
Published: August 2019

PurposeThe purpose of this paper is to examine the relationship between earnings management (EM) and corporate social responsibility (CSR) in Saudi Arabia. It is one of only a small number of studies to examine this relationship outside the US market, and the first in the Middle East and Arab region, particularly in Saudi Arabia.Design/methodology/approachThe paper uses content analysis to extract the CSR disclosure items from annual reports of Saudi firms. A CSR disclosure index was then constructed. For EM, the residuals from Kothari et al.’s (2005) model are considered. Multivariate analysis was performed using pooled OLS-regression models to examine the direct relationship between EM and the CSR index.FindingsUsing panel data from all Saudi public firms listed on the Saudi Stock Exchange (Tadawul) over the 2015-2016 period, the authors find that CSR is positively and significantly related to EM practices as proxied by discretionary accruals. This implies that Saudi firms undertaking CSR actions are more likely to manipulate their earnings.Research limitations/implicationsThe findings of this paper have important policy implications for policy-makers, regulators, auditors and investors in their attempts to constrain EM practices and enhance the quality of financial reporting in Saudi Arabia.Originality/valueThis paper contributes to the body of accounting literature by providing the first empirical evidence in the Middle East and Arab region on the positive association between EM and CSR in Saudi Arabia.
Optimization driven actor-critic neural network for sentiment analysis in social media
Authors: Jagdale Jayashree , M. Emmanuel 
Published: August 2019

Purpose
Sentiment analysis is the subfield of data mining, which is profusely used for studying the opinions of the users by analyzing their suggestions on the Web platform. It plays an important role in the daily decision-making process, and every decision has a great impact on daily life. Various techniques including machine learning algorithms have been proposed for sentiment analysis, but still, they are inefficient for extracting the sentiment features from the given text. Although the improvement in sentiment analysis approaches, there are several problems, which make the analysis inefficient and inaccurate. This paper aims to develop the sentiment analysis scheme on movie reviews by proposing a novel classifier.

Design/methodology/approach
For the analysis, the movie reviews are collected and subjected to pre-processing. From the pre-processed review, a total of nine sentiment related features are extracted and provided to the proposed exponential-salp swarm algorithm based actor-critic neural network (ESSA-ACNN) classifier for the sentiment classification. The ESSA algorithm is developed by integrating the exponentially weighted moving average (EWMA) and SSA for selecting the optimal weight of ACNN. Finally, the proposed classifier classifies the reviews into positive or negative class.

Findings
The performance of the ESSA-ACNN classifier is analyzed by considering the reviews present in the movie review database. From, the simulation results, it is evident that the proposed ESSA-ACNN classifier has improved performance than the existing works by having the performance of 0.7417, 0.8807 and 0.8119, for sensitivity, specificity and accuracy, respectively.

Originality/value
The proposed classifier can be applicable for real-world problems, such as business, political activities and so on.
Altered polyamine profiling in the hair of patients with androgenic alopecia and alopecia areata
Authors: Lee Yu Ra , Lew Bark Lynn , Sim Woo Young , Lee Jeongae , Hong Jongki , Chung Bong Chul 
Published: August 2019

AbstractHair follicles are among the most highly proliferative tissues. Polyamines are associated with proliferation, and several polyamines including spermidine and spermine play anti‐inflammatory roles. Androgenic alopecia results from increased dihydrotestosterone metabolism, and alopecia areata is an autoimmune disease. This study aimed to investigate differences in polyamine profiles in hair samples between patients with androgenic alopecia and alopecia areata. Polyamine concentrations were determined through high‐performance liquid chromatography‐mass spectrometry. Hair samples were derivatized with isobutyl chloroformate. Differences in polyamine levels were observed between androgenic alopecia and alopecia areata compared with normal controls. In particular, polyamine levels were higher in alopecia areata patients than in normal controls. Certain polyamines displayed different concentrations between the androgenic alopecia and alopecia areata groups, suggesting that some polyamines, particularly N‐acetyl putrescine (P = 0.007) and N‐acetyl cadaverine (P = 0.0021), are significantly different in androgenic alopecia. Furthermore, spermidine (P = 0.021) was significantly different in alopecia areata. Our findings suggest that non‐invasive quantification of hair polyamines may help distinguish between androgenic alopecia and alopecia areata. Our study provides novel insights into physiological alterations in patients with androgenic alopecia and those with alopecia areata and reveals some differences in polyamine levels in hair loss diseases with two different modes of action.
Species‐specific clonality in east Asian island flora: Phylogenetic and environmental constraints
Authors: Fujinuma Junichi , Kusumoto Buntarou , Shiono Takayuki , Kubota Yasuhiro 
Published: August 2019

AbstractPlant clonality is a ubiquitous trait observed in many phylogenetic clades and vegetations across tropical to arctic biomes. However, there is no consensus regarding determinant factors of species clonality; especially in the context of species assembly processes, ecological/evolutionary drivers of clonal growth remain largely unknown. To elucidate macroecological drivers of clonality, we examined phylogenetic conservatism/convergence of clonal growth in Japanese vascular plants and explored the ecological role of clonality. We created a dataset of clonal plants that were classified into phalanx, guerrilla and detachable clonal forms for 3,179 species, along with data regarding species geographical distributions and phylogenies. Then, we tested the association of phylogenetic and environmental factors with species clonality for three life‐form groups (fern, herb and woody species), and identified explanatory factors of clonal growth along large‐scale environmental gradients. Species clonality was phylogenetically constrained; specifically, for herb and woody species, phylogenetic signals across all the clonal growth forms, or especially the detachable form in ferns, were significant. Moreover, clonal growth of Japanese vascular plants was largely explained by taxonomic levels, and also partly by temperature, soil fertility, and species diversity in the distribution range, suggesting both processes; taxon‐dependent evolution of vascular plant clonality and evolutionary convergence of clonality across multiple clades of vascular plants relative to environmental constraints. Our findings demonstrated that species‐specific clonal growth, which acts as a trait related to abiotic/biotic niche, contributes to shaping large‐scale plant diversity patterns through species sorting along abiotic gradients.