bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on effect of entrepreneurship on entrepreneurial intention
Authors: Park Cheolwoo 
Published: August 2017

PurposeThe purpose of this study is to show effect of entrepreneurship on entrepreneurial intention. Currently, the long-term global economic crisis is accelerating, and the concerns for future uncertainties are spreading throughout our society. The ICT majors in Busan region are no exception so that business start-up is being considered as a new alternative to survive and grow in such uncertain environments at home or abroad. That is, business start-ups and entrepreneurship are being emphasized as a strategy that individuals can change not only one’s own life but also the fate of a region and even the destiny of a country.Design/methodology/approachFor this reason, the youth start-ups based on social networks and leadership have become the focus of our social concern along with the entrepreneurship that can actively cope with the ever-changing global environments. Thus, some of the major factors (i.e. innovation, enterprise and risk-taking) which should be considered when promoting the entrepreneurial intention of the ICT majors in Busan region have been researched, as well as the concept of entrepreneurship itself.FindingsThis demonstrates that young people will be able to successfully lead their start-up companies through their enterprising spirit, networks and leadership and learning with firm determination. Therefore, it is important to make such a network and leadership-based entrepreneurship become foundational in overcoming the long-term Korean economic depression; surviving in such an opaque situation; leading the growth and development of Busan region; and becoming the driving force for national growth, by developing the unique characteristics and strength of the students.Originality/valueIn this regard, this study will be useful for understanding the entrepreneurship of the ICT majors in Busan region more while contributing to the invigoration of a creative economy by studying the factors essential for the entrepreneurship and development of networks and leadership.
An exploratory study of innovation strategies of the internet of things SMEs in South Korea
Authors: Shin Dong-Il 
Published: August 2017

PurposeThis study aims to suggest directions for innovation-driving paths for sustainable growth through an in-depth case analysis of a successful Internet of Things (IoT) in small- and medium-sized enterprise (SME) in South Korea. IoT is expected to play a significant role in the future industry 4.0 platform. Yet, little is known about how SMEs in the IoT industry (IoT-SMEs hereafter) pursue innovation in alignment with attributes inherent in the IoT.Design/methodology/approachThis study addresses relatively unexplored key research questions on innovation strategies of IoT-SMEs. To do so, we employ an exploratory research methodology, along with an extensive review of the literature in the areas of the IoT, SMEs innovation and sustainable growth strategy. Specifically, we conduct intensive individual interviews to find IoT inherent innovation attributes and a case study to explore the process of linking these attributes to innovation-driving paths.FindingsThe analysis results reveal that there exist disruptive and open innovation attributes in the IoT industry that enable IoT-SMEs to enhance their structure and process related capabilities, to create business models for products and services and to collaborate with external parties in marketing to enter the market. We excavate practical insights into driving innovation based on IoT attributes and suggest enabling paths for pursuing innovation and entering overseas markets for IoT-SMEs.Originality/valueThis study investigates an underexplored significant area of research on the relationship between IoT attributes and innovation paths. The findings provide profound theoretical and practical implications. To the best of the author’s knowledge, it is the first attempt to link disruptive and open IoT attributes to innovation paths of IoT-SMEs. The results provide directions for pursuing effective innovation in responding to the IoT market for sustainable growth.
Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines
Authors: Chiu Jason Lim , Bool Nelson C. , Chiu Candy Lim 
Published: August 2017

PurposeThis paper aims to assess the direct effects of antecedents of initial trust, the mediating effect of trust and the moderating effect of demographic variables on non-adopters’ behavioral intention to use mobile banking.

Design/methodology/approachThe study tested the models of theory of reasoned action and theory of planned behavior to evaluate potential antecedents of trust (diffusion of trust, infrastructure quality, perceived costs, privacy and security) moderators (demographic variables) and mediators (initial trust) that will influence behavioral intention to use mobile banking. The Hayes’ Process Macro developed by Andrew F. Hayes (2013) was used as a statistical analysis in SPSS to estimates the path coefficients using multiple regression. The tool provides insights on the direct and indirect effect of the independent variable on the dependent variable through the existence of moderating variables and mediation variables.

FindingsThe results show that the non-adopters of mobile banking asserted that the antecedents of initial trust played a significant influence on behavioral intention to use online banking services.

Originality/valueThere is a dearth of literature addressing mobile banking in the Philippines. The first initial trust formation in internet banking using computer workstations and laptops in the Philippines was conducted by Chiu et al. (2016). This research fills in the gap by expanding and formulating a deeper understanding of the antecedents of initial trust that influence consumer behavioral intention that might be responsible for the slow diffusion of mobile banking services in the country. The results from this study will help financial institutions create a beneficial connection with consumers while alleviating the fears of non-adopters and enhancing their understanding of the benefits of mobile banking.
Discovery and classification of user interests on social media
Authors: Shahzad Basit , Lali Ikramullah , Nawaz M. Saqib , Aslam Waqar , Mustafa Raza , Mashkoor Atif 
Published: August 2017

Purpose
Twitter users’ generated data, known as tweets, are now not only used for communication and opinion sharing, but they are considered an important source of trendsetting, future prediction, recommendation systems and marketing. Using network features in tweet modeling and applying data mining and deep learning techniques on tweets is gaining more and more interest.

Design/methodology/approach
In this paper, user interests are discovered from Twitter Trends using a modeling approach that uses network-based text data (tweets). First, the popular trends are collected and stored in separate documents. These data are then pre-processed, followed by their labeling in respective categories. Data are then modeled and user interest for each Trending topic is calculated by considering positive tweets in that trend, average retweet and favorite count.

Findings
The proposed approach can be used to infer users’ topics of interest on Twitter and to categorize them. Support vector machine can be used for training and validation purposes. Positive tweets can be further analyzed to find user posting patterns. There is a positive correlation between tweets and Google data.

Practical implications
The results can be used in the development of information filtering and prediction systems, especially in personalized recommendation systems.

Social implications
Twitter microblogging platform offers content posting and sharing to billions of internet users worldwide. Therefore, this work has significant socioeconomic impacts.

Originality/value
This study guides on how Twitter network structure features can be exploited in discovering user interests using tweets. Further, positive correlation of Twitter Trends with Google Trends is reported, which validates the correctness of the authors’ approach.
Spatio-temporal dynamics of web pages diffused in WeChat
Authors: Liu Liang , Chen Bin , Jiang Wangchun , He Lingnan , Qiu Xiaogang 
Published: August 2017

PurposeWeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials.Design/methodology/approachA large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored.FindingsThrough comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions.Originality/valueThese findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.
Analysis of Tinto’s student integration theory in first-year undergraduate computing students of a UK higher education institution
Authors: Chrysikos Alexandros , Ahmed Ejaz , Ward Rupert 
Published: August 2017

Purpose
Retention is one of the key performance indicators in university quality assurance processes. The purpose of this paper is to identify the causes leading to low retention rates for first-year undergraduate computing students in a UK higher education institution (HEI).

Design/methodology/approach
The study applies Tinto’s student integration theory, and connects it with the behavioural patterns of students. Data were collected from 901 students using Pascarella and Terenzini’s questionnaire (integration scales). This data were combined with student enrolment information and analysed using the structural equation modelling technique.

Findings
The study results indicate that Tinto’s student integration theory is useful in analysing student retention, but this accounts for only a modest amount of variance in retention. Nevertheless, important relationships amongst student’s initial and later academic goals and commitments have been identified through this new approach to analysing retention. The largest direct effect on retention was accounted for by initial goals and institutional commitments, followed by later goals and institutional commitments. In addition, the results show that academic and social integration constructs can have an influence on the student retention processes. When all, or some, of these relationships are operating towards students’ benefits, appropriate services or programmes, such as student support systems, can have their maximum benefits.

Originality/value
The authors mapped behavioural-related retention factors using a learning community lens. The study explored students’ social and learning experiences within the context of a UK HEI by employing Tinto’s model. This is the first time the model has been tested in this context.
Web-based tools for collaborative research
Authors: Brody Stacy 
Published: August 2017

PurposeThe purpose of this paper is to profile various types of Web-based tools to facilitate research collaboration within and across institutions.Design/methodology/approachVarious Web-based tools were tested by the author. Additionally, tutorial videos and guides were reviewed.FindingsThere are various free and low-cost tools available to assist in the collaborative research process, and librarians are well-positioned to facilitate their usage.Practical implicationsLibrarians and researchers will learn about various types of tools available at free or at low cost to fulfill needs of the collaborative research process.Social implicationsAs the tools highlighted are either free or of low cost, they are also valuable to start-ups and can be recommended for entrepreneurs.Originality/valueAs the realm of Web-based collaborative tools continues to evolve, the options must be continually revisited and reviewed for currency.
Leader psychological capital and employee work engagement
Authors: Xu Jia , Liu Yan , Chung Beth 
Published: August 2017

PurposeThe purpose of this paper is to investigate the relationship between leader psychological capital and employee work engagement. Drawing on conservation of resources theory, the authors hypothesize that leader psychological capital is associated with employee work engagement through employee psychological capital. The authors further hypothesize that team collectivism moderates the relationship between leader psychological capital and employee psychological capital.Design/methodology/approachMulti-source data came from 44 team leaders and 307 employees in Mainland China.FindingsThe results suggest a trickle-down relationship between leader psychological capital and employee psychological capital, which in turn is linked to employee engagement. In addition, the relationship between leader psychological capital and employee psychological capital is stronger (weaker) when team collectivism is lower (higher).Practical implicationsBy paying attention to the psychological capital of both employees and their leaders, organizations can increase employee engagement which is an important work outcome.Originality/valueWork engagement is important in the workplace because it is related to a variety of employee work and life outcomes. Prior research has examined the antecedents of work engagement, but little is known about the role of leader psychological capital, a positive psychological state, in shaping employee work engagement. This research applied a resource conservation process model of leader positivity on employee engagement that is mediated by employee psychological capital. This study contributes to a better understanding of the theoretical foundation of leader psychological capital.
Top management teams’ managerial resources and international diversification
Authors: Li Peng-Yu , Lo Fang-Yi 
Published: August 2017

PurposeThe purpose of this paper is to incorporate the resource-based perspective with upper echelon theory to examine the effect of top management teams’ (TMTs) managerial resources on international diversification.Design/methodology/approachThe authors sampled 360 listed companies in the USA that operated in the information technology industry in 2009, the year after the financial crisis.FindingsThe findings show that TMTs’ tenure has a negative impact on international diversification but international experience exerts a positive impact on international diversification. Furthermore, TMTs’ educational background diversity and international experience contribute to a reduction in the negative effect of tenure on international diversification.Originality/valuePrior studies have investigated the role of TMT in international diversification, but they pay less attention to the interactive effect of the variety of managerial resources on international diversification. In particular, the authors examined the effect of a variety of management resources on the level of international diversification under the uncertain environment.
C:N:P stoichiometry in China's forests: From organs to ecosystems
Authors: Zhang Jiahui , Zhao Ning , Liu Congcong , Yang Hao , Li Meiling , Yu Guirui , Wilcox Kevin , Yu Qiang , He Nianpeng 
Published: August 2017

Abstract

Ecological stoichiometry connects different levels of biology, from the gene to the globe, by scaling up elemental ratios (e.g. carbon [C], nitrogen [N] and phosphorus [P]). Thus, ecological stoichiometry could be a powerful tool for revealing certain physiological processes of plants. However, C:N:P stoichiometry remains unclear at the community and ecosystem levels, despite it being potentially important for primary productivity.

In this study, we measured the C, N and P contents of different plant organs, litter and soil in nine natural forest ecosystems (from cold‐temperate to tropical forests along a 3,700‐km transect in China) to explore C:N:P stoichiometry and the main influencing factors. C:N:P stoichiometry was evaluated for different components in the forest ecosystems (plant community, soil, litter and ecosystem) and, at the community level, for different organs (leaves, branches, trunks and roots) from 803 plant species.

The ratios of C:P and N:P decreased with increasing latitude, with spatial patterns being primarily regulated by climate. Interestingly, the homeostasis of N, P and N:P was highest in leaves, followed by branches, roots and trunks, supporting the hypothesis that more active organs have a higher capacity to maintain relatively stable element content and ratios. At the community level, the leaf N:P ratio indicated increasing P limitation in forests of lower latitude (i.e. more southerly) in China's forests.

Our findings demonstrate the spatial patterns of C:N:P stoichiometry and the strategies of element distribution among different organs in a plant community, providing important data on C:N:P to improve the parameterization of future ecological models.

A plain language summary is available for this article.
Leaf litter diversity and structure of microbial decomposer communities modulate litter decomposition in aquatic systems
Authors: Santschi Fabienne , Gounand Isabelle , Harvey Eric , Altermatt Florian 
Published: August 2017

AbstractLeaf litter decomposition is a major ecosystem process that can link aquatic to terrestrial ecosystems by flows of nutrients. Biodiversity and ecosystem functioning research hypothesizes that the global loss of species leads to impaired decomposition rates and thus to slower recycling of nutrients. Especially in aquatic systems, an understanding of diversity effects on litter decomposition is still incomplete.Here we conducted an experiment to test two main factors associated with global species loss that might influence leaf litter decomposition. First, we tested whether mixing different leaf species alters litter decomposition rates compared to decomposition of these species in monoculture. Second, we tested the effect of the size structure of a lotic decomposer community on decomposition rates.Overall, leaf litter identity strongly affected decomposition rates, and the observed decomposition rates matched measures of metabolic activity and microbial abundances. While we found some evidence of a positive leaf litter diversity effect on decomposition, this effect was not coherent across all litter combinations and the effect was generally additive and not synergistic.Microbial communities, with a reduced functional and trophic complexity, showed a small but significant overall reduction in decomposition rates compared to communities with the naturally complete functional and trophic complexity, highlighting the importance of a complete microbial community on ecosystem functioning.Our results suggest that top‐down diversity effects of the decomposer community on litter decomposition in aquatic systems are of comparable importance as bottom‐up diversity effects of primary producers.Aplain language summaryis available for this article.
Quantifying the attractiveness of broad‐spectrum street lights to aerial nocturnal insects
Authors: Wakefield Andrew , Broyles Moth , Stone Emma L. , Harris Stephen , Jones Gareth 
Published: August 2017

Abstract

Sodium street lights, dominated by long wavelengths of light, are being replaced by broad‐spectrum, white lights globally, in particular light‐emitting diodes (LEDs). These white lights typically require less energy to operate and are therefore considered “eco‐friendly”. However, little attention has been paid to the impacts white lights may have upon local wildlife populations.

We compared insect attraction to orange (high‐pressure sodium, HPS) and white (metal halide, MH and LED) street lights experimentally using portable street lights and custom‐made flight intercept traps.

Significantly more (greater than five times as many) insects were attracted to white MH street lights than white (4,250 K) LED and HPS lights. There was no statistical difference in the numbers of insects attracted to LED and HPS lights for most taxa caught. However, rarefaction shows a greater diversity of insects caught at LED than HPS lights.

Policy implications. With the current, large‐scale conversion to white light‐emitting diode (LED) lighting, our results give insight into how changes to street light technology may affect wildlife populations and communities. We recommend avoiding metal halide light installations as they attract many more insects than competing technologies. We highlight the need to tailor LED lighting to prevent disturbances across multiple insect taxa.