bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing China’s OFDI using a novel multivariate grey prediction model with Fourier series
Authors: Jiang Hang , Hu Yi-Chung , Lin Jan-Yan , Jiang Peng 
Published: June 2019

Purpose
With the development of economy, China’s OFDI constantly increase in recent year. Meanwhile, OFDI has spillover effect on economic development and technological development of home country. Thus, accurate OFDI prediction is a prerequisite for the effective development of international investment strategies. The purpose of this paper is to predict China’s OFDI accurately using a novel multivariable grey prediction model with Fourier series.

Design/methodology/approach
This paper applied a multivariable grey prediction model, GM(1,N), to forecast China’s OFDI. In order to improve the prediction accuracy and without changing local characteristics of grey model prediction, this paper proposed a novel grey prediction model to improve the performance of the traditional GM(1,N) model by combining with residual modification model using GM(1,1) model and Fourier series.

Findings
The coefficients indicate that the export and GDP have positive influence on China’s OFDI, and, according to the prediction result, China’s OFDI shows a growing trend in next five years.

Originality/value
This paper proposed an effective multivariable grey prediction model that combined the traditional GM(1,N) model with a residual modification model in order to predict China’s OFDI. Accurate forecasting of OFDI provides reference for the Chinese Government to implement international investment strategies.
User engagement with political “facts” in the context of the fake news phenomenon
Authors: Marcella Rita , Baxter Graeme , Walicka Agnieszka 
Published: June 2019

Purpose
The purpose of this paper is to present the results of a study that explored human behaviour in response to political “facts” presented online by political parties in Scotland.

Design/methodology/approach
The study consisted of interactive online interviews with 23 citizens in North-East Scotland, in the run-up to the 2017 UK General Election.

Findings
Participants demonstrated cognitive and critical responses to facts but little affective reaction. They judged facts swiftly and largely intuitively, providing evidence that facts are frequently consumed, accepted or rejected without further verification processes. Users demonstrated varying levels of engagement with the information they consume, and subject knowledge may influence the extent to which respondents trust facts, in previously unanticipated ways. Users tended to notice facts with which they disagreed and, in terms of prominence, particularly noted and responded to facts which painted extremely negative or positive pictures. Most acknowledged limitations in capacity to interrogate facts, but some were delusionally confident.

Originality/value
Relatively little empirical research has been conducted exploring the perceived credibility of political or government information online. It is believed that this and a companion study are the first to have specifically investigated the Scottish political arena. This paper presents a new, exploratory fact interrogation model, alongside an expanded information quality awareness model.
Women directors and firm performance: Malaysian evidence post policy announcement
Authors: Ahmad Maslina , Raja Kamaruzaman Raja Nur Syazwani , Hamdan Hamdino , Annuar Hairul Azlan 
Published: June 2019

Purpose
In 2011, the Malaysian cabinet approved the policy that all board of directors of companies listed on the Bursa Malaysia should consist of 30 per cent women in decision-making positions by the year 2016. The purpose of this paper is to examine the association between the presence of women on the board and firms’ performance following the introduction of the diversity policy.

Design/methodology/approach
The analysis uses the information of the top 200 Malaysian public listed companies for the financial year 2011–2013. The multiple regression analysis is used to estimate the relationship between the firm performance (return on assets (ROA)) as the dependent variable and the independent variables.

Findings
The results show that during the period under study, the proportion of women directors on board is negatively correlated with ROA. This indicates that the firm performance may not be dependent on the number of women directors on board. However, the results of the study also show that the academic backgrounds of the women board members add some value toward generating better firm performance.

Research limitations/implications
A small sample size of only the top 200 public listed companies was utilised. Consequently the outcome may not be generalisable to smaller public companies or private firms. Another limitation is regarding the sample period. Taking only one year before and one year after the policy’s approval may be too short of the period under study and may be too early to study the impact of the policy. Future studies could sample a longer period.

Practical implications
The findings encourage public listed companies to appoint women with the necessary qualities as members of the board and not to simply increase the number of women on boards.

Originality/value
There is a lack of work on studying women’s effectiveness on board in developing countries, whereby previous work and literature review were predominantly based upon the experience of Western economies. This study, thus, contributes to the rising literature on women board member representation based on the firm performance of the top 200 listed companies in Malaysia.
Do rational bubbles exist in emerging markets of SAARC?
Authors: Nazir Mian Sajid , Mahmood Javeria , Abbas Fizza , Liaqat Ayesha 
Published: June 2019

Purpose
The upsurge of globalization has made investors cautious toward investing decisions, and, resultantly, sophisticated techniques of forecasting and analyzing the stock markets have emerged. Particularly, this trend has gained momentum in emerging economies. One such trend is to overcome the investing risks associated with formation of rational bubbles. Bubbles are formed when asset prices inflate to a very high level temporarily, and they ultimately burst. Investors may take advantage of this short-lived phenomenon and gain high returns, but may also suffer as the entire investing value declines when the bubble bursts. The purpose of this paper is to identify rational bubbles in the emerging capital markets of South Asian region.

Design/methodology/approach
The monthly data have been obtained from June 1997 to February 2018 for Pakistan, Bombay, Dhaka and Colombo stock markets, and supremum-Augmented Dicky Fuller test developed by Phillips and Yu (2011) has been utilized to identify the rational bubbles.

Findings
The results revealed the presence of rational bubbles in South Asian equity markets. The current study is of significant nature for the facilitation of investors in future-making investing decisions concerning with the formation of rational bubbles.

Originality/value
Several studies have been conducted on stock markets of developed regions. Specific bubble episodes, which occurred previously, have helped the researchers and investors in gaining plenty of insights. A lot of studies have been conducted on the SAARC region as well. But they have used the conventional unit root test for bubble identification and not used as extensive data as, in this study, have been taken. This research is aimed to study equity prices of the four stock markets to establish the fact that if rational bubbles exist in the index, they are reflected in the returns or not.
Microscoping the challenges of sustainable construction in developing countries
Authors: Aghimien Douglas Omoregie , Aigbavboa Clinton Ohis , Thwala Wellington Didibhuku 
Published: June 2019

Purpose
This paper aims to present the result of an assessment of the challenges of sustainable construction (SC) in two developing countries (Nigeria and South Africa). This was done with a view to improving sustainable project delivery, which is a problem among most developing countries.

Design/methodology/approach
The study adopted a quantitative survey approach with questionnaire used as the instrument for data collection from quantity surveyors, construction and project managers from both countries. Data analysis was done using a four-step analysis approach and relevant descriptive and inferential statistics were adopted.

Findings
The study revealed a considerable level of awareness of SC and involvement in the use of the same among the assessed professionals. Also, it was discovered that SC materials are mostly used in the aspect of surface finishing and masonry construction. Further findings revealed that resistance to change, client’s preference, fear of the increased cost of investment and inadequate knowledge and understanding of the concept of sustainability are some of the major challenges of SC in these countries.

Originality/value
The strength of this study lies in the assessment of happenings from two developing countries and its recommendation can to a large extent promote improved SC in developing countries particularly in Africa were construction activities are similar.
Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies
Authors: Klingenberg Cristina Orsolin , Borges Marco Antônio Viana , Antunes Jr José Antônio Valle 
Published: June 2019

PurposeThe purpose of this paper is to identify current technologies related to Industry 4.0 and to develop a rationale to enhance the understanding of their functions within a data-driven paradigm.Design/methodology/approachA systematic literature review of 119 papers published in journals included in the Journal Citation Report (JCR) was conducted to identify Industry 4.0 technologies. A descriptive analysis characterizes the corpus, and a content analysis identifies the technologies.FindingsThe content analysis identified 111 technologies. These technologies perform four functions related to data: data generation and capture, data transmission, data conditioning, storage and processing and data application. The first three groups consist of enabling technologies and the fourth group of value-creating technologies. Results show that Industry 4.0 publications focus on enabling technologies that transmit and process data. Value-creating technologies, which apply data in order to develop new solutions, are still rare in the literature.Research limitations/implicationsThe proposed framework serves as a structure for analysing the focus of publications over time, and enables the classification of new technologies as the paradigm evolves.Practical implicationsBecause the technical side of the new production paradigm is complex and represents an evolving field, managers benefit from a simplified and data-driven approach. The proposed framework suggests that Industry 4.0 should be approached by looking at how data can create value and at what role each technology plays in this task.Originality/valueThe study makes a direct link between Industry 4.0 technologies and the key resource of this revolution, i.e. data. It provides a rationale that not only establishes relationships between technologies and data, but also highlights their roles as enablers or creators of value. Beyond showing the current focus of Industry 4.0 publications, this paper proposes a framework that is useful for tracking the evolution of the paradigm.
What’s citizenship got to do with mental health? Rationale for inclusion of citizenship as part of a mental health strategy
Authors: MacIntyre Gillian , Cogan Nicola Ann , Stewart Ailsa Elizabeth , Quinn Neil , Rowe Michael , O’Connell Maria 
Published: June 2019

Purpose
People with lived experience of mental health problems (MHPs) are often marginalised and have difficulty achieving community inclusion. Citizenship, a relatively novel concept in mental health, provides a means of understanding what is necessary for marginalised individuals and groups to gain a sense of belonging within their communities. By exploring the “what, why, how and who” of citizenship, the purpose of this paper is to provide a rationale for the inclusion of citizenship as part of a person-centred and holistic mental health strategy.

Design/methodology/approach
A community-based participatory research (CBPR) approach, with peer researchers, was adopted to develop a model of citizenship within a Scottish context. The aim of the model is to link the concept of citizenship with specific strategies that systems, agencies and individuals can use within mental health policy and practice to promote greater inclusion and participation. Concept mapping was used as part of a mixed-methods participatory methodology and data were then analysed using multivariate statistical methods of multidimensional scaling and hierarchical cluster analysis.

Findings
It is argued that using a CBPR approach, utilising concept mapping, encourages the development of a model of citizenship that is entirely grounded in the perspectives and lived experiences of people with MHPs. The need for adequate resources, preparatory work, training, research management and reflexive practice are key to the success of a CBPR approach with peer researchers.

Originality/value
Working with peer researchers and key stakeholder groups is central to a CBPR approach and the implementation of a model of citizenship within mental health policy and practice. Developing a model of citizenship derived specifically from the experiences of people with lived experience is likely to promote their inclusion. It provides a means of challenging the structural deficits and inequalities that cause distress and prevent people with lived experience of MHPs of recovering their citizenship.
About time
Authors: Salonen Ville , Karjaluoto Heikki 
Published: June 2019

PurposeThe purpose of this paper seeks to develop a motivation-based complementary framework for temporally dynamic user preferences to facilitate optimal timing in web personalisation. It also aims to highlight the benefits of considering user motivation when addressing issues in temporal dynamics.Design/methodology/approachThrough theory, a complementary framework and propositions for motivation-based temporal dynamics for further testing are created. The framework is validated by feeding back findings, whereas some of the propositions are validated through an experiment.FindingsThe suggested framework distinguishes two ways (identifying/learning and shifting) of using a motive-based approach to temporal dynamics in web personalisation. The suggested outcomes include enhanced timing in matching current preferences and improved conversion. Validation measures predominantly support both the framework and the tested propositions. The theoretical basis for the approach paves a path towards refined psychological user models; however, currently on a complementary level.Research limitations/implicationsWhile the framework is validated through feeding back findings, and some of the propositions are validated through basic experimentation, further empirical testing is required.Practical implicationsA generalised approach for complementing personalisation procedures with motivation-based temporal dynamics is offered, with implications for both user modelling and preference matching.Originality/valueThis paper offers novel insights to web personalisation by considering the in-depth effects of user motivation.
A process approach to examining mobile commerce adoption progression
Authors: Ali Mazen , Wali Esra , Al-Hinai Yousef , Kurnia Sherah 
Published: June 2019

Purpose
Most studies of mobile commerce (MC) adoption by individuals have focused on the influence of a set of factors at a single point in time, and thus, cannot capture the process by which the individuals progress from simple to sophisticated MC adoption. This paper aims to enhance the current understanding of MC adoption by using a process approach to investigate MC adoption progression among individuals and the factors influencing their decisions to adopt different MC activities of varying complexity levels over time.

Design/methodology/approach
A qualitative research design was used. Data were collected through a series of semi-structured face-to-face interviews with 22 users of mobile devices to understand how they progressed in MC adoption over time and the factors influencing their decisions to adopt different levels of MC activities. The data were analyzed using qualitative data analysis techniques.

Findings
The findings showed reciprocal influences between individuals’ perceptions and MC adoption. As individuals adopted and gained experience with basic MC activities, their perceptions of MC improved over time, leading to the adoption of more advanced MC activities.

Originality/value
This research proposes a novel process approach and an innovative MC Adoption Maturity model to explain MC adoption progression over a time dimension. The model includes three levels of MC adoption maturity and explains adoption progression from one level to the next. The concept of MC adoption maturity will enable researchers to understand changes in users’ experiences and perceptions throughout adoption maturity progression.
Association of interleukin‐10‐1082 (‐1087) A > G polymorphisms and periodontitis risk: An updated meta‐analysis based on 26 case‐control studies
Authors: Li Yao , Hu Bo , Feng Ge , Chen Qian , Zhu Mengyuan , Ying Siqi , Song Jinglin 
Published: June 2019

AbstractBackgroundThe association between interleukin‐10 (IL‐10)‐1082 (‐1087) A > G polymorphism and either chronic (CP) or aggressive periodontitis (AgP) susceptibility was conflicting. This meta‐analysis aimed to quantitatively estimate the association.MethodsPubmed, Embase, Web of Science, and WANFAN databases were searched for relevant studies that were submitted prior to January 31, 2018, and meta‐analyses were performed using STATA 14.0.ResultsDatabase mining yielded 26 studies of interest. For the IL‐10‐1082 (‐1087) A > G (rs1800896) polymorphism and its relation to CP susceptibility, the overall analysis showed no significant estimates, but subgroup analysis revealed significant associations in the AA versus GG + GA model in the Caucasian population (odds ratio [OR] = 1.274, 95% confidence interval [CI] = 1.069–1.518,P = 0.007;I2 = 0.0%,P = 0.483) and in the GG versus AA + AG model in the Han population (OR = 6.66, 95% CI = 7.72–9.41,P = 0.000;I2 = 0.0%,P = 0.82), which all showed no obvious publication bias by Egger's linear regression test. For the association between an IL‐10‐1082 (‐1087) A > G polymorphism and AgP susceptibility, the overall analysis and Caucasian subgroup analysis yielded nonsignificant estimates.ConclusionsOur meta‐analysis indicated that the IL‐10‐1082 (‐1087) AA genotype in the Caucasian population, and the GG genotype in the Han population might be putative risk factors for CP.Practical implicationsThe IL‐10‐1082 (‐1087) AA genotype and the GG genotype might be potential biomarkers for Caucasian CP and for Han CP, respectively. However, additional research will be required to validate the findings of this meta‐analysis.
Should I want to live to 100?
Authors: Pence Gregory E. 
Published: June 2019

AbstractIs it virtuous for someone to try to live to 100? Casting aside questions of intergenerational justice and internal obligations in families, what about the basic desire itself? Discussions of longevity and aging in bioethics are skewed to controversial end‐of‐life decisions, largely avoiding questions of how to age well before such decisions arise. Respected writers such as Atul Gawande, Daniel Callahan, and Ezekiel Emanuel champion accepting a natural life span and not trying to live beyond it. The Stoic Seneca says a desire to live to 100 is foolish because, however long people live, they waste most of their lives, so if they lived a thousand years, they would still waste most of it. Against Seneca and Emanuel, we argue that a functional, not a chronological, view of aging should guide us and that for some seniors, hoping to be centenarians may be neither foolish nor misguided. Using Cicero, we argue that the pleasures of seniors are not necessarily inferior to those of youth and may even surpass them. Finally, we agree with Emanuel that the “symptom burden” of some lives makes living to 100 unpalatable and with Seneca that, given life’s vicissitudes, we should not plan on living to 100, but heeding his wisdom, try to make the most of the time given to us.
Might there be a medical conscience?
Authors: Ben‐Moshe Nir 
Published: June 2019

AbstractI defend the feasibility of a medical conscience in the following sense: a medical professional can object to the prevailing medical norms because they are incorrect as medical norms. In other words, I provide an account of conscientious objection that makes use of the idea that the conscience can issue true normative claims, but the claims in question are claims about medical norms rather than about general moral norms. I further argue that in order for this line of reasoning to succeed, there needs to be an internal morality of medicine that determines what medical professionals ought to do qua medical professionals. I utilize a constructivist approach to the internal morality of medicine and argue that medical professionals can conscientiously object to providing treatment X, if providing treatment X is not in accordance with norms that would have been constructed, in light of the end of medicine, by the appropriate agents under the appropriate conditions.
Dynamic Regression with Recurrent Events
Authors: Soh J. E. , Huang Yijian 
Published: June 2019

Abstract
Recurrent events often arise in follow-up studies where a subject may experience multiple occurrences of the same event. Most regression models with recurrent events tacitly assume constant effects of covariates over time, which may not be realistic in practice. To address time-varying effects, we develop a dynamic regression model to target the mean frequency of recurrent events. We propose an estimation procedure which fully exploits observed data. Consistency and weak convergence of the proposed estimator are established. Simulation studies demonstrate that the proposed method works well, and two real data analyses are presented for illustration.