bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering partner relationship management in B2B ecosystems of electronic media
Authors: Barac Dušan , Ratkovic-Živanovic Vanjica , Labus Milica , Milinovic Suzana , Labus Aleksandra 
Published: October 2017

PurposeThis paper aims to discuss relationship management in business-to-business (B2B) ecosystem of electronic media. The goal of this research is twofold. First, the goal is to understand and model the impact of customer relationship management technology adoption on B2B relationships. Second, the authors investigated how trends in e-business and partner relationship management (PRM) affect partner relationship quality in public broadcasting.Design/methodology/approachThis study deals with the impact that relationship capability, relationship fulfillment, operational PRM, analytical PRM, social PRM and readiness to adopt new e-business models produce on relationship quality of a public broadcaster. The research was conducted on a testing sample of 78 participants. All the participants were representatives of the Serbian public broadcaster’s business partners.FindingsResults revealed that relationship capability, analytical and social PRM have a significant impact on relationship quality. In addition to this, the survey suggested that activities such as organizing social events, developing new services, personalization and tailoring of services could improve PRM outcomes.Practical implicationsThe results aim to help practitioners to enhance their relationships with stakeholders and maximize the total outcomes of those relationships. Specifically, managers and practitioners doing business in the field of electronic media could benefit from the presented results.Originality/valueSignificance of the paper is reflected in the fact that it analyzes innovative concepts and technologies. Conclusions and recommendations put forward in the paper could serve as a good basis and framework for other public broadcasters, particularly for those from the developing countries.
Relational capabilities in Thai buyer-supplier relationships
Authors: Rungsithong Rapeeporn , Meyer Klaus E. , Roath Anthony S. 
Published: October 2017

PurposeThis paper uses the relational capabilities perspective to provide new insights into the mediating role of relational capabilities and their performance implications. Specially, this paper aims to explain how characteristics of a partnership influence relational capabilities that in turn enhance firm performance.Design/methodology/approachUsing data from an original survey of 156 partnership projects between buyers and suppliers in the Thai manufacturing sector, the authors use a structural model to test their hypotheses.FindingsThe empirical analysis shows that the impact of relational and economic attributes of a partnership on firm performance is mediated by knowledge sharing routines and complementary capability. However, the impact varies between operational and strategic performance, as relational capabilities are strongly associated with operational performance but only indirectly associated with strategic performance.Practical implicationsThe need to coordinate and mobilize complementary resources not only increases the interdependence between buyers and suppliers but also contributes to firm performance. Specifically, operations can be enhanced by knowledge sharing routines and complementary capability. At a strategic level, operational effectiveness enables firms to benefit from inter-organizational relationships.Originality/valueThe authors contribute to industrial marketing knowledge by shedding light on mediation of relational capabilities between inter-organizational attributes and firm performance. The findings demonstrate the value of the relationship between a firm’s supply chain and its relational capabilities which in turn drive project performance.
Institutional networks for supporting the internationalisation of SMEs: the case of industrial business associations
Authors: Costa Eric , Lucas Soares António , Pinho de Sousa Jorge 
Published: October 2017

Purpose
This paper aims to study and explore the activities and the use of institutional network resources by industrial business associations (IBAs) to support and facilitate internationalisation processes of small- and medium-sized enterprises (SMEs). Other goals are to understand the internationalisation follow-up process and the future vision of IBAs to improve this internationalisation support.

Design/methodology/approach
Based on empirical evidence and following an abductive approach, this paper presents a qualitative exploratory field research, providing insights from interviews performed with 20 IBAs based in Portugal.

Findings
The findings suggest that the current institutional network support to internationalisation is mainly provided through promotional activities; counselling, training and technical and legal support; information sharing; and cooperation with other institutional entities. Each support category is explored and explained and a new conceptual model is developed to represent these findings. Regarding the internationalisation follow-up, IBAs provide a continuous support for the international operations by using some instruments and mechanisms to assist SMEs after an internationalisation initiative. Finally, collaboration and the use of new information technology are the main aspects to improve IBAs’ support in a near future.

Research limitations/implications
The qualitative methodological approach adopted in this work can imply a larger difficulty to obtain a generalisation of the findings. Another limitation is that the participating IBAs are based in only one country.

Practical implications
Findings can help SMEs to understand the functioning and the benefits of using the institutional network resources of IBAs in overcoming their lack of resources to operate in international markets. IBAs can also understand their current position in terms of internationalisation support and think about new ways for improving this support.

Originality/value
This paper contributes to a better understanding of the influence of institutional networks in SME internationalisation by exploring the specific role of one of the institutional actors rather than focusing on the institutional network as a whole. Therefore, this study details the current activities and uncovers other types of support provided by IBAs that are not based on export promotion programmes. New knowledge is also obtained about the specific information content, information sources and means and channels of information sharing used by IBAs for supporting SME internationalisation.
Corporations and professionalism: awkward bed-fellows?
Authors: Kreps David 
Published: October 2017

Purpose
The purpose of this paper is to respond to Burmeister’s paper on Professionalism in information and communication technology.

Design/methodology/approach
This is a short and simple response to an issue that seemed central to Burmeister’s paper.

Findings
A key conundrum between the definitions of professionalism and corporations needs addressing.

Originality/value
This conundrum is a global political situation outwith the ability of the profession to address.
Asynchronous social search as a single point of access to information
Authors: Buijs Marco , Spruit Marco 
Published: October 2017

Purpose
The purpose of this paper is to present asynchronous social search as a novel and intuitive approach to search for information in which people collaborate to find the information they are looking for.

Design/methodology/approach
A prototype was built to test the feasibility in a business environment. A case study was performed at an organisation with over 1,000 employees to evaluate the quality of asynchronous social search as a single point of access to information.

Findings
Based on the results, the authors conclude that asynchronous social search has great potential as a single point of access to organisational information. Key strengths include that the implementation requires no integration with the existing information technology infrastructure of organisations and participants were very satisfied with the results provided by the prototype.

Originality/value
This work demonstrates that asynchronous social search indeed provides a very good starting point for a single point of access to information, as integration with existing software systems is not necessary, and due to the lightweightness of the approach it also performs really well which, in turn, stimulates the technology’s acceptance by its end-users.
Developing a context-aware annotation system for Hakka culture-specific language learning
Authors: Chang Chen Chi , Liao Chien Hsiang 
Published: October 2017

Purpose
This paper describes a computer supported ubiquitous learning environment for minority language learning. Hakka language involved various tones, art, craft, festivals, food, drink, medicine, religion and custom in different regions. The tones also vary across the dialects of Hakka. The majority of Hakka dialects have six tones in Taiwan. The context for Hakka language translation and use is extremely important. The purpose of this paper is to present the context-aware annotation service to help readers get the right information for Hakka language use and learning more easily.

Design/methodology/approach
This paper proposes the context-aware learning support system for Hakka culture-specific items or language, which is called Hakka culture-specific items annotation system (HACSIAS). HACSIAS is the context-aware annotation system, helping learners to add links of culture-specific items when they are reading the electronic journals, books, and web pages.

Findings
The HACSIAS provides learner appropriate information for Hakka culture-specific items deriving the learner’s situation and personal information. The context-aware computing will automatically provide translation service by searching a given culture-specific items database while these items or terminology appear in a document, either by displaying terms in the translation memory.

Originality/value
The context-aware annotation system for Hakka culture-specific language learning allows Hakka cultural resources to be smoothly integrated into learning materials.
Investigating the uptake of educational systems by academics using the technology to performance chain model
Authors: Harrati Nouzha , Bouchrika Imed , Mahfouf Zohra 
Published: October 2017

PurposeThe purpose of this paper is to explore the relationship between the perceived performance, software usability, and attitude of academics to use online technology to perform their tasks in the academic context.Design/methodology/approachThe paper assesses the acceptance and utilization of university lecturers for an online educational system using the technology-to-performance chain model. The evaluation process is conducted via an online survey which is administered to 180 university staff meanwhile objective measurements describing the actual utilization are considered during the analysis. Partial least squares path modeling is used in this study in tandem with other statistical methods to test the significance and influence of different constructs and factors related to the user.FindingsThe usability of information systems plays a crucial role compared to the attitude and social norms for lecturers to actually utilize technological products. Meanwhile, the TTF is observed to have more influence than the actual utilization for the perceived impact on performance. For the individual’s characteristics, the study indicates that the age is an influential factor on the utilization and performance in contrast to the gender which has a marginal impact.Originality/valueThe study describes a model to assess the acceptance of technology by academics based on combining self-reported data and objective quantitative measures which describe the actual utilization of the user. Further, the usability estimated using the well-known System Usability Scale is integrated within the developed model to reflect the ease of use for technology. Further, covariate analysis is conducted to explore how different types of users interact and react to educational systems for different factors including age, gender, academic qualifications and experience.
Who will cite you back? Reciprocal link prediction in citation networks
Authors: Daud Ali , Ahmed Waqas , Amjad Tehmina , Nasir Jamal Abdul , Aljohani Naif Radi , Abbasi Rabeeh Ayaz , Ahmad Ishfaq 
Published: October 2017

Purpose
Link prediction in social networks refers toward inferring the new interactions among the users in near future. Citation networks are constructed based on citing each other papers. Reciprocal link prediction in citations networks refers toward inferring about getting a citation from an author, whose work is already cited by you. The paper aims to discuss these issues.

Design/methodology/approach
In this paper, the authors study the extent to which the information of a two-way citation relationship (called reciprocal) is predictable. The authors propose seven different features based on papers, their authors and citations of each paper to predict reciprocal links.

Findings
Extensive experiments are performed on CiteSeer data set by using three classification algorithms (decision trees, Naive Bayes, and support vector machines) to analyze the impact of individual, category wise and combination of features. The results reveal that it is likely to precisely predict 96 percent of reciprocal links. The study delivers convincing evidence of presence of the underlying equilibrium amongst reciprocal links.

Research limitations/implications
It is not a generic method for link prediction which can work for different networks with relevant features and parameters.

Practical implications
This paper predicts the reciprocal links to show who is citing your work to collaborate with them in future.

Social implications
The proposed method will be helpful in finding collaborators and developing academic links.

Originality/value
The proposed method uses reciprocal link prediction for bibliographic networks in a novel way.
Learning attitudes and problem-solving attitudes for blended problem-based learning
Authors: Tsai Meng-Hsiun , Tang Ya-Chun 
Published: October 2017

Purpose
The purpose of this paper is to present the design and implementation of a blended problem-based learning (PBL) teaching model and corresponding teaching materials for a university-level bioinformatics course. The effects of this teaching model on student performance in terms of problem solving and learning attitudes were investigated.

Design/methodology/approach
Students in both groups completed assessments of problem-solving attitudes and learning attitudes both one week both before and after experimental instruction. Collected data were analyzed using one-way ANCOVA. Group discussions and student interviews were recorded and treated as part of the data analysis.

Findings
The study produced the following findings: the experimental group was found to perform better than the control group in terms of learning attitudes, but the results were not statistically significant; the experimental group was found to outperform the control group in terms of problem-solving attitudes, and the difference was statistically significant; lesson plan contents need to be designed based on problem-based learning theory, and reflect real-world conditions; participants in the experimental group approved of the blended PBL and group discussion approach.

Originality/value
Results are expected to provide a useful reference for educators and researchers. These findings can be applied to relevant instructional fields to enhance learner motivation and engagement, thus improving learning outcomes.
Is there any efficient reading strategy when using text signals for navigation in a long document?
Authors: Lu Quan , Liu Qingjun , Chen Jing , Li Ji 
Published: October 2017

Purpose
Since researchers have utilized text signals to develop a mass of within-document visualization analysis tools for reading aid in a long document, there is an increasing need to study the relationship between readers’ behavior of using text signals for navigation and their reading performance in the tools. The purpose of this paper is to combine the text signals using behavior and reading performance in two kinds of analysis tools to verify their relationship and discover whether there is any efficient reading strategy when using text signals to navigate a long document.

Design/methodology/approach
The methodology is a case study. The authors reviewed related literature first. After explaining the design ideas, interface and functions of THC-DAT and BOOKMARK, which are two reading tools utilizing two main kinds of text signals, one utilizing topics and the other utilizing headings for reading aid, a case study was presented to collect click data on the text signals of participants and their reading effectiveness (score) and efficiency (time).

Findings
The results confirm that the text signals using behavior for navigation has a significant impact on reading efficiency and no impact on reading effectiveness in both BOOKMARK and THC-DAT. The discrete degree of clicks behavior on text signals has an impact on reading efficiency. The using behavior of different types of text signals has different impacts on reading efficiency.

Research limitations/implications
Using text signals for navigation time evenly can help improve reading efficiency. And a basic strategy suggested to readers is focusing on reducing their time to find answers when using text signals for navigation in a long document. As to utilizing the two different kinds of text signals, readers can have different strategies. Accordingly, personalized recommendation based on interval of adjacent clicks will help to improve computer-aided reading tools.

Originality/value
This paper combines the text signals using behavior for navigation and reading performance in two kinds of visual analysis tools, studied the relationship between them and discovers some efficient reading strategies when using text signals for navigation to read a long document.
Deployment of organic farming at a landscape scale maintains low pest infestation and high crop productivity levels in vineyards
Authors: Muneret Lucile , Thiéry Denis , Joubard Benjamin , Rusch Adrien 
Published: October 2017

Abstract

Organic farming is a promising way to reduce pesticide use but increasing the area under organic farming at the landscape scale could increase pest infestations and reduce crop productivity. Examining the effects of organic farming at multiple spatial scales and in different landscape contexts on pest communities and crop productivity is a major step in the ecological intensification of agricultural systems.

We quantified the infestation levels of two pathogens and five arthropod pests, the intensity of pesticide use and crop productivity in 42 vineyards. Using a multi‐scale hierarchical design, we unravelled the relative effects of organic farming at both field and landscape scales from the effects of semi‐natural habitats in the landscape.

At the field scale, pest communities did not differ between organic and conventional farming systems. At the landscape scale, increasing the area under organic farming did not increase pest infestation levels.

Three out of seven pest taxa were affected both by local farming systems and the proportion of semi‐natural habitats in the landscape. Our findings revealed that the proportion of semi‐natural habitats reduced pest infestation for two out of seven pest taxa.

Organic vineyards had much lower treatment intensities, very similar levels of pest control and equal crop productivity levels.

Synthesis and Applications. Our results clearly indicate that policies promoting the development of organic farming in conventional vineyard landscapes will not lead to greater pest and disease infestations but will reduce the pesticide treatment intensity and maintain crop productivity. Moreover, the interactions between semi‐natural habitats in landscape and local farming practices suggest that the deployment of organic farming should be adapted to landscape contexts.
AGIS‐based Quantitative Approach for the Search of Clandestine Graves, Italy
Authors: Somma Roberta , Cascio Maria , Silvestro Massimiliano , Torre Eliana 
Published: October 2017

AbstractPrevious research on theRAGcolor‐coded prioritization systems for the discovery of clandestine graves has not considered all the factors influencing the burial site choice within aGISproject. The goal of this technical note was to discuss aGIS‐based quantitative approach for the search of clandestine graves. The method is based on cross‐referencedRAGmaps with cumulative suitability factors to host a burial, leading to the editing of different search scenarios for ground searches showing high‐(Red), medium‐(Amber), and low‐(Green) priority areas. The application of this procedure allowed several outcomes to be determined: If the concealment occurs at night, then the “search scenario without the visibility” will be the most effective one; if the concealment occurs in daylight, then the “search scenario with theDSM‐based visibility” will be most appropriate; the different search scenarios may be cross‐referenced with offender's confessions and eyewitnesses’ testimonies to verify the veracity of their statements.
Evaluation of Australian soup manufacturer compliance with national sodium reduction targets
Authors: Levi Rebecca , Probst Yasmine , Crino Michelle , Dunford Elizabeth 
Published: October 2017

AimPackaged foods dominate Australia's food supply and are important contributors to nutrition‐related disease. To help address this problem, the Food and Health Dialogue (FHD) was launched in 2009, setting voluntary sodium reduction targets for various categories of packaged foods. The aim of this study was to examine the food industry's progress and compliance with the FHD sodium reduction targets for soup products.MethodsNutritional information was collected from product labels of all soup products available from four major Australian supermarkets annually between 2011 and 2014. Products were assigned to categories in line with those in the FHD. The proportion of soup products meeting sodium reduction targets was examined by (i) soup category; (ii) FHD participant status; and (iii) manufacturer.ResultsA 6% reduction in sodium levels in soups overall was found from 2011 to 2014 (P = 0.002). Significant reductions were observed for FHD participants (P < 0.05 for all) but not for non‐participants. In 2014, 67% dry soups and 76% of wet soups met national sodium reduction targets.ConclusionsDespite the majority of soup products meeting the sodium reduction targets specified by the FHD, re‐evaluation of the targets may be required to further reduce sodium levels in soups. Manufacturers participating in the FHD are likely to be driving sodium reductions in the Australian soup market, further highlighting the need for continued government leadership in this area to ensure all manufacturers are actively involved in the process.