bluuebunny/crossref_metadata_2025_split huggingface dataset:
A computing metaphor approach to customer experience based alliance partner recommendation
Authors: Yuan Soe Tsyr , Hsieh Pei Hung , Yeh Yu-Chen 
Published: November 2015

Purpose
– In the service economy era, service value is created from the evaluation of customer experience and it is important to study alliance partner selection for improving service provision. Nevertheless, most of the existing alliance partner selection approaches concentrate on the functional aspects. The purpose of this paper is to provide a novel approach that is customer-centric and emphasizes the emotional aspect of service value.

Design/methodology/approach
– This paper presents a metaphor-based alliance partner recommendation mechanism (MAPRM) that employs the computing metaphor approach to recommend alliance partners for companies in an innovative way. The main ideas of metaphors are the comparison made between two unlike things that actually have something in common so as to attain innovative thinking.

Findings
– This study uses the scenario of regional tourism innovation to demonstrate the attempted contributions of MAPRM. The simulation evaluation results show that MAPRM can utilize knowledge and resources from companies to achieve specific alliance goals of satisfying desired customer experiences represented by images that can be analyzed and created based on customers’ feedback and their interactions with companies.

Originality/value
– MAPRM aims to assist companies to find appropriate alliance partners which offer potential innovation opportunities for service value provision. It is capable of facilitating the alliance partner selection process and assessing customers’ needs at the same time.
Attitudinal ranking and correlated aggregating methods for multiple attribute group decision making with triangular intuitionistic fuzzy Choquet integral
Authors: Liu Yujia , Wu Jian , Liang Changyong 
Published: November 2015

Purpose
– The purpose of this paper is to propose novel attitudinal prioritization and correlated aggregating methods for multiple attribute group decision making (MAGDM) with triangular intuitionistic fuzzy Choquet integral.

Design/methodology/approach
– Based on the continuous ordered weighted average (COWA) operator, the triangular fuzzy COWA (TF-COWA) operator is defined, and then a novel attitudinal expected score function for triangular intuitionistic fuzzy numbers (TIFNs) is investigated. The novelty of this function is that it allows the prioritization of TIFNs by taking account of the expert’s attitudinal character. When the ranking order of TIFNs is determined, the triangular intuitionistic fuzzy correlated geometric (TIFCG) operator and the induced TIFCG (I-TIFCG) operator are developed.

Findings
– Their use is twofold: first, the TIFCG operator is used to aggregate the correlative attribute value; and second, the I-TIFCG operator is designed to aggregate the preferences of experts with some degree of inter-dependent. Then, a TIFCG and I-TIFCG operators-based approach is presented for correlative MAGDM problems. Finally, the propose method is applied to select investment projects.

Originality/value
– Based on the TIFCG and I-TIFCG operators, this paper proposes a novel correlated aggregating methods for MAGDM with triangular intuitionistic fuzzy Choquet integral. This method helps to solve the correlated attribute (criteria) relationship. Furthermore, by the attitudinal expected score functions of TIFNs, the propose method can reflect decision maker’s risk attitude in the final decision result.
An integrated dynamic intuitionistic fuzzy MADM approach for personnel promotion problem
Authors: Bali Ozkan , Dagdeviren Metin , Gumus Serkan 
Published: November 2015

Purpose
– One of the key success factors for an organization is the promotion of qualified personnel for vacant positions. Especially, the promotion of middle and senior managers play an important role in terms of organization’s success. In personnel promotion problem in which the candidates are nominated within the organization and they have been working for a specific period of time and are known in their organization, the candidates should be evaluated based on their recent as well as past performances to make right selection for the vacant position. For this reason, the purpose of this paper is to propose an integrated dynamic multi-attribute decision-making (MADM) model based on intuitionistic fuzzy set for solving personnel promotion problem.

Design/methodology/approach
– The proposed model integrates analytic hierarchy process (AHP) technique and the dynamic evaluation by intuitionistic fuzzy operator for personnel promotion. AHP is employed to determine the weight of attributes based on decision maker’s opinions, and the dynamic operator is utilized to aggregate evaluations of candidates for different years. Atanassov’s intuitionistic fuzzy set theory is utilized to represent uncertainty and vagueness in MADM process.

Findings
– A numerical example is presented to show the applicability of the proposed method for personnel promotion problem and a sensitivity analysis is conducted to demonstrate efficiency of dynamic evaluation. The findings indicate that the varying weights of years employed determined the best candidate for promotion.

Originality/value
– The novelty of this study is defining personnel promotion as a MADM problem in the literature for the first time and proposing an integrated dynamic intuitionistic fuzzy MADM approach for the solution, in which the candidates are evaluated at different years.
A framework for workplace information literacy in academic contexts
Authors: Molopyane Jeannet , Fourie Ina 
Published: November 2015

Purpose– The purpose of this paper is to suggest a framework for workplace information literacy based on a case study at the Central University of Technology (CUT), Free State (South Africa).Design/methodology/approach– The framework is based on a literature survey covering case studies from the private, public and academic sector and a case study conducted at the CUT, Free State (South Africa). A mixed methods approach was followed using questionnaires, individual interviews and focus group interviews. Descriptive statistics and qualitative data were collected.Findings– The data analysis reveals a need as well as support for workplace information literacy. It addresses institutional buy-in, the need for alignment to the institutional strategy, inclusion of workplace information literacy in job descriptions, whether workplace information literacy should be optional or mandatory, whether it should address the needs of all staff members, the responsibility for a workplace information literacy programme, perceived benefits, etc.Practical implications– The proposed framework can be used at the CUT, Free State. As a general framework it can also be used in other academic contexts as well as in the public and private sector.Originality/value– Although several studies on workplace information literacy have been reported, the literature survey did not trace a suitable framework that can guide the design and implementation of workplace information literacy in academic contexts. This paper intends to contribute towards filling this gap.
How do we inspire children to learn with e-readers?
Authors: Hsiao Kuo-Lun , Chen Chia-Chen 
Published: November 2015

Purpose
– Mobile handheld e-readers, such as the iPad and Kindle, have gained increased attention in schools and are becoming useful as a tool to attract students to learn and read. Although the benefits of mobile learning are clear, few studies have delved into the specific factors impacting the adoption and use of e-readers among elementary students. Moreover, the question of whether learning with e-readers can enhance reading comprehension remains unanswered. Given these facts, the study has a dual purpose. In order to explore the above-mentioned factors, the authors base the proposed research model on the task-technology fit (TTF) and self-efficacy theories, along with the technology acceptance model. Second, the authors examine the relationship between reading with e-readers and reading comprehension. The paper aims to discuss these issues.

Design/methodology/approach
– A sample of 60 third grade children participated in the study. The reading material used in this research was an e-book edition of the Chinese printed storybook Missing Grandmother. The causal model was validated using SmartPLS 2.0. In addition, this research used the SPSS statistical software package (SPSS for Windows, 17.0) to conduct a t-test and analysis of variance with a confidence level of 95 percent.

Findings
– All eight study hypotheses were supported. The results indicate that TTF and mobile learning self-efficacy have the most significant influence on intention to learn with e-readers. The authors also found that children’s reading comprehension is enhanced in an e-book reading group. The analysis revealed no gender differences in reading comprehension.

Originality/value
– This study explored factors which increase children’s intention to learn with e-readers. The proposed model helps the authors to understand the influence of mobile learning self-efficacy, perceived usefulness, perceived ease of use, and TTF on this intention. The authors also compared e-books and p-books in regards to usability and found that e-book reading can improve third grade children’s reading comprehension. The authors found no gender differences in either the p-book reading group or the e-book reading group.
Developing and implementing 3D printing services in an academic library
Authors: Nowlan Gillian Andrea 
Published: November 2015

Purpose
– The purpose of this paper is to describe the development of a 3D printing pilot project and 3D printing library service. Policy development, instruction, and best practices will be shared and explored.

Design/methodology/approach
– This paper describes the implementation of 3D printing at the University of Regina Library and details successes, failures, and modifications made to better provide 3D printing services. This paper outlines one academic library’s experience and solutions to offering 3D printing for university patrons.

Findings
– Although 3D printing has been around for a while, it still requires trial and error and experience in order to print successfully. Training and instruction is needed to run the 3D printer and understand how to develop 3D objects that will print successfully.

Originality/value
– There have been many publications on 3D printing, but few that discuss problem solving, best practices, and policy development. 3D printing provides a way for patrons to learn about new technology and use that technology to help support learning.
Social media optimization: making library content shareable and engaging
Authors: Rossmann Doralyn , Young Scott W.H. 
Published: November 2015

Purpose
– Social Media Optimization (SMO) offers guidelines by which libraries can design content for social shareability through social networking services (SNSs). The purpose of this paper is to introduce SMO and discuss its effects and benefits for libraries.

Design/methodology/approach
– Researchers identified and applied five principles of SMO. Web analytics software provides data on web site traffic and user engagement before and after the application of SMO.

Findings
– By intentionally applying a program of SMO, the library increased content shareability, increased user engagement, and built community.

Research limitations/implications
– Increasing use of SNSs may influence the study results, independent of SMO application. Limitations inherent to web analytics software may affect results. Further study could expand analysis beyond web analytics to include comments on SNS posts, SNS shares from library pages, and a qualitative analysis of user behaviors and attitudes regarding library web content and SNSs.

Practical implications
– This research offers an intentional approach for libraries to optimize their online resources sharing through SNSs.

Originality/value
– Previous research has examined the role of community building and social connectedness for SNS users, but none have discussed using SMO to encourage user engagement and interactivity through increased SNS traffic into library web pages.
Mediating role of stress between work-family conflict and job satisfaction among the police officials
Authors: Singh Rashmi , Nayak Jogendra Kumar 
Published: November 2015

Purpose– The purpose of this study is to examine the effect of work-family conflicts (WFC) on job stress and its subsequent impact on job satisfaction among the police officials. It also examined the moderating effect of the social support from organisations between employees’ job stress and satisfaction.Design/methodology/approach– The authors conducted a survey on 599 police officials associated with 20 police stations in New Delhi, India. The study involved a hierarchical regression analysis to examine the relationship between independent (WFC) and dependent (satisfaction) variable with the mediator (stress) as well as the moderator (social support).Findings– The findings revealed that stress mediated the relationship between WFC and satisfaction of the police officials. Further, social support acted as a moderator between their job stress and satisfaction.Practical implications– The study findings added a new chapter in the existing literature by developing a comprehensive framework that considers different dimensions, i.e. WFC and job stress in Indian context.Originality/value– The study has originality and offers value to police organisation as it focuses on police officials, and explores their WFC and job stress and its subsequent effect on their job satisfaction.
Patient‐reported outcomes as assessment tools and predictors of long‐term prognosis: a 7‐year follow‐up study of patients with rheumatoid arthritis
Authors: Kojima Masayo , Kojima Toshihisa , Suzuki Sadao , Takahashi Nobunori , Funahashi Koji , Asai Shuji , Yoshioka Yutaka , Terabe Kenya , Asai Nobuyuki , Takemoto Toki , Ishiguro Naoki 
Published: November 2015

AbstractObjectiveWhether the Boolean‐based American College of Rheumatology/European League Against Rheumatism (EULAR) criteria for rheumatoid arthritis (RA) including patient‐reported outcome measures (PROMs) for remission are strict for use in daily clinical practice is controversial. This study aimed to clarify the differences in the remission status defined by the criteria, including and excluding PROMs, and to identify the baseline predictors of long‐term prognosis using 7‐year follow‐up data.MethodA total of 103 RA outpatients completed the baseline and 7‐year follow‐up questionnaire surveys. Pain visual analogue scale (VAS) of ≤ 1/10 was used as a PROM criterion for remission.ResultsOnly 10 patients achieved full‐remission, whereas 18 met the partial‐remission criteria excluding PROM at baseline. Although 70.0% of those who achieved full remission at baseline had full or partial remission status, 77.8% of those with partial remission were categorized as having no remission at 7 years. Significant baseline differences in the remission status at 7 years were observed with regard to disease duration, pain VAS, and physical function (Short Form 36 [SF‐36]). Stepwise logistic regression analysis adjusted for age and sex identified disease duration and general health perception (SF‐36) as independent predictors of full‐remission.ConclusionRemission criteria including PROMs are stringent but important to achieve sustained remission. Early intensive treatment and efforts to improve patients’ health perceptions may result in better prognosis for RA.
Adiponectin: is it a biomarker for assessing the disease severity in knee osteoarthritis patients?
Authors: Cuzdan Coskun Nihan , Ay Saime , Evcik Fatma Deniz , Oztuna Derya 
Published: November 2015

AbstractAimThe results of previous studies regarding the role of adiponectin in the pathogenesis of osteoarthritis (OA) are controversial. The aim of this study is to investigate the relation of plasma adiponectin levels with clinical and radiological disease severity in knee OA patients.MethodSixty patients with knee OA and 25 healthy controls were included in the study. Patients were divided into two subgroups: lean (Group 1, n = 30) and obese (Group 2, n = 30). Healthy controls were accepted as Group 3 (n = 25). Pain intensity was measured with a visual analogue scale (VAS), functional disability with Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Quality of Life (QoL) with Short Form‐36 (SF‐36). Also all patients were radiologically evaluated and graded according to Kellgren–Lawrence (KL) scale. Plasma concentrations of adiponectin levels were measured by enzyme‐linked immune‐sorbent assay (ELISA).ResultsSerum adiponectin levels were higher in OA patient subgroups than those in the control group but the difference did not reach a significant level after adjustments for age, gender and body mass index (P = 0.078). There was a positive correlation between adiponectin concentration and KL grading scores. Additionally, there was a positive correlation between adiponectin levels and clinical variables (VAS and WOMAC total scores) in patient subgroups (r = 0.326 P = 0.012, r = 0.583 P < 0.001, respectively). SF‐36 scores were inversely associated with adiponectin levels.ConclusionPlasma adiponectin concentrations were associated with both clinical and radiological disease severity in knee OA patients. Thus, adiponectin hormone might be a potential clinically useful biomarker while assessing disease severity in the future.
An integrated occupancy and space‐use model to predict abundance of imperfectly detected, territorial vertebrates
Authors: Tingley Morgan W. , Wilkerson Robert L. , Howell Christine A. , Siegel Rodney B. 
Published: November 2015

Summary

It is often highly desirable to know not only where species are likely to occur (i.e. occupancy) but also how many individuals are supported by a given habitat (i.e. density). For many animals, occupancy and density may be determined by distinct ecological processes.

Here we develop a novel abundance model as the product of landscape‐scale occupancy probability and habitat‐scale density given occupancy. One can conceptualize our model as fully packing a landscape with home ranges or territories based on habitat quality, and then subtracting territories based on a probabilistic process that accounts for the fact that species rarely exhibit full occupancy across heterogeneous landscapes. The model is designed to predict abundance at fine spatial scales, using resolutions equal to or smaller than a single home range or territory.

We demonstrate this model on the Black‐backed Woodpecker (Picoides arcticus), a species of management concern linked to post‐fire forests. Occupancy is derived from a regional monitoring effort, while density given occupancy comes from a telemetry study of variation in territory size. A Bayesian framework is used to combine independent occupancy and home‐range size models and predict abundance of Black‐backed Woodpeckers at 4 fires that burned in 2012 or 2013. Predictions are evaluated with independently collected survey data, showing that the model is successful at predicting both absolute abundance at fires as well as relative abundance within and among fires.

The conceptual model presents a promising new framework for fine‐scale modelling of density and abundance for other territorial yet elusive species. Telemetry and occupancy data are widely collected for many species, but rarely utilized in combination, and the ecological exploration of the factors that determine occurrence versus home‐range size may provide useful biological insight. As applied to the Black‐backed Woodpecker, the model provides a tool for resource managers to explore trade‐offs in retaining burned forest habitat versus managing for other post‐fire goals, such as salvage logging or reforestation efforts that require snag removal.
Risk of gastric cancer, gastrointestinal cancers and other cancers: a comparison of treatment with pantoprazole and other proton pump inhibitors
Authors: Schneider J. L. , Kolitsopoulos F. , Corley D. A. 
Published: November 2015

SummaryBackgroundProton pump inhibitors (PPIs) have been shown to be carcinogenic in rodent studies.AimAs part of a long‐term post‐marketing surveillance study requested by the US Food and Drug Administration, to compare incidence rates of gastric and other cancers after sustained exposures to pantoprazole, a long‐acting PPI, compared with other shorter acting PPIs.MethodsWe conducted a cohort study within the membership of the Kaiser Permanente Northern California healthcare system and compared rates of gastric and other cancers among pantoprazole users and users of other PPI medications. The Cox proportional hazards model was used to adjust for potential confounders such as sex, age, receipt of treatment for Helicobacter pylori, cumulative PPI dose, total years PPI treatment and year of index date. The study was developed in consultation with, and approved by, the FDA.ResultsA total of 61 684 persons with at least a 240‐day supply of medication (34 178 pantoprazole and 27 686 other PPIs) were followed up for a total of 547 020 person‐years (274 700 vs. 272 321 person‐years, respectively). The primary analyses demonstrated comparable risks between the pantoprazole and other PPI groups for gastric cancer [hazard ratio (HR) = 0.68, 95% CI 0.24–1.93); colorectal, liver, pancreatic, or small bowel cancers (HR = 0.95, 95% CI 0.65–1.40) or any cancer (HR = 1.06, 95% CI 0.93–1.21).ConclusionsWe found no evidence that pantoprazole, a longer acting PPI, compared with shorter‐acting agents, conferred an excess risk of gastric cancer, other gastrointestinal cancers or all cancers for pantoprazole compared with other shorter‐acting PPIs.