bluuebunny/crossref_metadata_2025_split huggingface dataset:
Church attendance, faith and the allocation of time: evidence from Australia
Authors: Kortt Michael A. , Steen Todd , Sinnewe Elisabeth 
Published: October 2017

PurposeThe purpose of this paper is to examine the determinants of church attendance and the formation of “religious human capital” using a Becker-inspired allocation-of-time framework.Design/methodology/approachData derived from three waves of the Household, Income and Labour Dynamics in Australia Survey were used to estimate a reduced-form two-equation system where the endogenous variables were frequency of attendance at religious services and intensity of faith.FindingsThe results indicate that while the hourly wage rate accounts for some of the variation in the attendance and faith regressions (i.e. higher wages lead to lower levels of attendance and faith), “allocation of time” variables like working long hours also influence these dimensions. The findings also suggest that the decision to attend or not or to have any faith at all is generally independent from economic factors. However, once the decision to attend or to have faith is made, an individual’s wage influences the degree of attendance or faith to a significant level.Originality/valueThe study contributes to this embryonic body of empirical literature by providing – to the best of the authors’ knowledge – the first results for Australia.
Creative economy assessment: a case study of Kish Island
Authors: Lafzi Ghazi Elham , Goede Miguel 
Published: October 2017

Purpose
The purpose of this paper is to evaluate the case of Kish, which is a small island off the coast of Iran, using the creative indicators of a creative economy.

Design/methodology/approach
Based on the extant literature, a set of performance measures and factors are identified for the creative economy. This set is mainly based on Florida’s theory on the creative class. The case of Kish Island is evaluated based on these indicators, and after analysis, conclusions are drawn.

Findings
Kish Island, with its numerous tourist attractions, shows remarkable creative industries that highlight the presence of the creative class and the development of a creative economy in this area.

Originality/value
The paper illustrates the model of a creative economy assessment for the small Kish Island and finally provides a good understanding of the concept of the creative economy as a key element of the creative city.
Distributional impact of public expenditure on human development in Nigeria
Authors: Edeme Richardson Kojo , Nkalu Chigozie Nelson , Ifelunini Innocent A. 
Published: October 2017

Purpose
The purpose of this paper is to develop and apply a distributional impact assessment methodology to empirically analyze distributional impact of public expenditure on human development using data from 20 states in Nigeria. For robustness of the analysis, expenditure on education, health, agriculture, rural development, energy, housing, environmental protection and portable water resources are employed as predictors of human development. The result reveals that expenditure on education, health, agriculture, rural development and water resources has positive marginal impact on human development. In contrast, the marginal impact of energy, housing and environmental protection is negative. Among the sectors, education, health, agriculture, rural development and water resources expenditure has positive marginal impact while energy, housing and environmental protection have decreasing marginal impact on human development.

Design/methodology/approach
Panel approach.

Findings
The result reveals that expenditure on education, health, agriculture, rural development and water resources has positive marginal impact on human development.

Originality/value
A panel approach is used to investigate whether expenditure on education, health, agriculture, rural development and water resources has positive marginal impact on human development.
Can trade liberalisation bring benefits to the war-affected regions and create economic stability in post-war Sri Lanka?
Authors: Naranpanawa Athula , Bandara Jayatilleke 
Published: October 2017

Purpose
There is a large body of literature on the link between trade liberalisation, growth and poverty. However, less attention has been paid to the relationship between trade and regional disparities. The purpose of this paper is to identify and quantify the regional impacts of trade liberalisation, particularly in the war-affected regions and to understand to what extent trade reforms can contribute to the post-war recovery process and long-term economic and political stability in Sri Lanka.

Design/methodology/approach
The authors developed a single country multi-regional computable general equilibrium (CGE) model for the Sri Lankan economy to meet the need for a detailed country study as emphasised in the recent literature.

Findings
Both short-run and long-run results suggest that all regions including war-affected regions in the country gain from trade liberalisation, although gains are uneven across regions. Furthermore, the results suggest that war-affected regions gain more relative to some other regions in the long run.

Originality/value
According to the best of the authors’ knowledge within country regional impact of trade liberalisation using a multi-regional CGE model has never been attempted for Sri Lanka. The results of this study, even though based on Sri Lankan data, will be relevant to other developing countries engulfed in internal conflicts with regional economic disparities.
Age and the pursuit of happiness among immigrants
Authors: Siemers Sarinda Taengnoi , Robson Denise 
Published: October 2017

PurposeThe purpose of this paper is to explore how various factors, particularly ones associated with ability to assimilate to a new country such as social capital and human capital, may affect the happiness of immigrants in different age groups.Design/methodology/approachThe study utilizes the New Immigrant Survey 2003, which is a nationally representative survey of immigrants who became permanent US residents, to produce four separate ordered logit regressions, each for a different age group, 18-34, 35-49, 50-59, and 60 and older.FindingsThe empirical results indicate that employment is important to happiness among young immigrants (age 18-34). For middle-aged immigrants happiness is strongly related to family life (i.e. being married, having children), human capital, and wealth. For older immigrants (age 60 and over) happiness is significantly linked to social capital (i.e. involvement in religious institutions, communication ties to friends and family).Practical implicationsUnderstanding factors associated with the happiness of immigrants can help communities to undertake appropriate support and services for different age groups.Originality/valueThe study differentiates what contributes to the happiness of immigrants in different age groups. Most studies only include a binary categorical variable for age groups and do not employ a fully differentiated analysis for age. The study also explores how social capital relates to happiness. Studies of happiness among immigrants mostly omit any role of social capital variable.
Who benefits from the high-price segment in commodity markets?
Authors: Mann Stefan , Ritzel Christian 
Published: October 2017

Purpose
Vegetable oils are usually considered commodities. The purpose of this paper is to use disaggregated import data from Switzerland to show two phenomena. The first is that a growing high-price segment exists in these markets; the second is that least developed countries (LDC) are usually excluded from the benefits of this niche.

Design/methodology/approach
A detailed quantitative and qualitative analysis for coconut oil is carried out, using fixed effects regressions for the quantitative part and objective hermeneutics for the qualitative part.

Findings
The analysis indicates that prices depend on the quantity imported and on the country of origin and that entrepreneurs outside the LDC attempt to create new niche markets, whereas actors in the bulk markets tend to ignore these niches and to continue relying on LDC.

Social implications
Bulk markets may continue to exist, but the importance of niches is certainly increasing and should be extended to LDC.

Originality/value
It could be shown which market dynamics exist and which of them leave LDC behind.
The role of moral transaction mode for sustainability of banking business
Authors: Aliyu Sirajo , Yusof Rosylin Mohd , Naiimi Nasri 
Published: October 2017

Purpose
The purpose of this paper is to propose the use of Islamic moral transaction mode as a moderator in sustainable Islamic microfinance banks (IMFBs) business model.

Design/methodology/approach
The paper highlighted the major issues of microfinance banks in Nigeria and presented an integrated model that will suffice the long-term survival of the institution. Moreover, regression analysis is also employed to examine the impacts of financial outreach on the Nigerian economic growth.

Findings
The authors find that Islamic moral transaction mode will moderate the sustainable Islamic banking business which can influence the sustenance of IMFBs and the well-being of the society through financial outreach.

Research limitations/implications
The paper has empirically tested the impact of financial outreach on growth, and suggested future studies to investigate the existing relationships among the proposed model components. Therefore, further studies have the opportunity to develop measurements that will guide in testing the model, as well as strengthening its components.

Practical implications
Implementing this model will enhance the sustainability of IMFBs and socio-economic well-being of the society through financial outreach. Consequently, this study also suggests other policy measures that will improve the sustenance of IMFBs and the society as a whole.

Originality/value
The paper contributes to the existing literature of microfinance banks by linking the components of the sustainable business model to primary evidence of Sharia coupled with an in-depth link to generosity.
Motivations, income determinants and livelihood vulnerability of female teenage head porters in Kasoa, Ghana
Authors: Otieku Evans , Ackah Charles Godfred , Forkuor David 
Published: October 2017

Purpose
The purpose of this paper is to provide statistical and empirical evidence on the motivations, income determinants and livelihood vulnerabilities of female teenage head porters. The paper draws from the motivational theory and the livelihood vulnerability approach to assess the motivations, livelihood vulnerabilities and income determinants of female teenage head porters in Kasoa, Ghana.

Design/methodology/approach
The mixed methods data collection instruments were used to collect primary data from 200 randomly sampled female teenage head porters in Kasoa. It includes both close and open-ended questionnaires, one case study and personal observation.

Findings
Based on the estimation, the study found that household poverty, unemployment, desire for regular income and quest for personal independence were significant motivational factors drawing teenage girls into head porting. Also, age of respondents and years of experience in the occupation were the significant determinants of income of respondents. Exposure to frequent malaria, stress and physical pains were common livelihood risk factors faced by the respondents. Majority of them were from the northern region of Ghana and less than 20 percent of them had formal education.

Practical implications
The paper proposed for extensive implementation of robust macroeconomic and specific social protection interventions to enhance equal job and income opportunities as well as to protect the vulnerable.

Originality/value
The study provides statistical and empirical results different from other related studies (Opare, 2003; Awumbila, 2007; Baah-Ennumh et al., 2012; Akanle and Chioma, 2013).
Deferred repair of inconsistencies resulting from retroactive updates of temporal XML currency data
Authors: Hamrouni Hind , Grandi Fabio , Brahmia Zouhaier 
Published: October 2017

Purpose
A temporal XML database could become an inconsistent model of the represented reality after a retroactive update. Such an inconsistency state must be repaired by performing corrective actions (e.g. payment of arrears after a retroactive salary increase) either immediately (i.e. at inconsistency detection time) or in a deferred manner, at one or several chosen repair times according to application requirements. The purpose of this work is to deal with deferred and multi-step repair of detected data inconsistencies.

Design/methodology/approach
A general approach for deferred and stepwise repair of inconsistencies that result from retroactive updates of currency data (e.g. the salary of an employee) in a valid-time or bitemporal XML database is proposed. The approach separates the inconsistency repairs from the inconsistency detection phase and deals with the execution of corrective actions, which also take into account enterprise’s business rules that define some relationships between data.

Findings
Algorithms, methods and support data structures for deferred and multi-step inconsistency repair of currency data are presented. The feasibility of the approach has been shown through the development and testing of a system prototype, named Deferred-Repair Manager.

Originality/value
The proposed approach implements a new general and flexible strategy for repairing detected inconsistencies in a deferred manner and possibly in multiple steps, according to varying user’s requirements and to specifications which are customary in the real world.
Detecting and presenting welcome-news for tourists from user reviews
Authors: Nadamoto Akiyo , Sakai Keigo 
Published: October 2017

PurposeRecently, people usually use the internet to obtain travel information, when they plan their travel. They especially want to obtain sightseeing spot information from reviews, but there are huge amounts of reviews of sightseeing spots. Users therefore cannot obtain important information from the reviews easily. As described herein, this paper aims to propose a system that automatically extracts and presents welcome news for sightseeing spots from reviews. This proposed Welcome-news is a “useful information” and “unexpected information” related to travel.Design/methodology/approachThe flow for extracting Welcome-news from reviews is simple: A user inputs a sightseeing spot about which to get information; the system obtains reviews of the sightseeing spot and divides each sentence into reviews; the system extracts sentences including Welcome-news keyword(s), and the sentences become useful information; the system extracts unexpected information from useful information based on clustering, and it becomes Welcome-news; and the system presents all Welcome-news to the user.FindingsThis paper reports three findings: extraction of useful information for sightseeing spots based on Welcome-news keywords extracted by our experiment and using support vector machine (SVM); extraction of unexpected information for sightseeing spots by clustering; and automatic presentation of Welcome-news.Originality/valueNumerous studies have extracted information from reviews based on some keywords. This proposed extraction of Welcome-news for travel not only uses keywords but also clusters based on topics. Furthermore, the proposed keywords include general keywords and unique keywords. The former appears for all kinds of sightseeing spots. The latter appears only for sightseeing spot. The authors extracted general keywords manually, and unique keywords using SVM.
Twitter user growth analysis based on diversities in posting activities
Authors: Yamamoto Shuhei , Wakabayashi Kei , Satoh Tetsuji , Nozaki Yuri , Kando Noriko 
Published: October 2017

Purpose
The purpose of this paper is to clarify the characteristics of growth users over a long time to strategically collect a large amount of specific users’ tweets. Twitter reflects events and trends in users’ real lives because many of them post tweets related to their experiences. Many studies have succeeded in detecting events along with real-life information from a large amount of tweets by assuming users as social sensors. To collect a large amount of tweets based on specific users for successful Twitter studies, the authors have to know the characteristics of users who are active over long periods of time.

Design/methodology/approach
The authors explore the status of users who were active in 2012, and classify users into three statuses of Dead, Lock and Alive. Based on the differences between the numbers of tweets in 2012 and 2016, the authors further classify Alive users into three types of Eraser, Slumber and Growth. The authors analyze the characteristic feature values observed in each user behavior and provide interesting findings with each status/type based on Gaussian mixture model clustering and point-wise mutual information.

Findings
From their sophisticated experimental evaluations, the authors found that active users more easily dropped out than inactive users, and users who engaged in reciprocal communications often became Growth type. Also, the authors found that active users and users who were not retweeted by other users often became Eraser type. The authors’ proposed methods effectively predicted Growth/Eraser-type users compared with the logistic regression model. From these results, the authors clarified the effectiveness of five feature values per active hour to detect intended Twitter user growth for strategically collecting a large amount of tweets.

Originality/value
The authors focus on user growth prediction. To appropriately estimate users who have potential for growth, they collect a large amount of users and explore their status and growth after three years. The research quantitatively clarifies the characteristics of growth users by clustering using robust feature values and provides interesting findings obtained by analysis. After that, the authors propose an effective prediction method for growth users and evaluate the effectiveness of their proposed method.
Dynamic SAX parameter estimation for time series
Authors: Zan Chaw Thet , Yamana Hayato 
Published: October 2017

Purpose
The paper aims to estimate the segment size and alphabet size of Symbolic Aggregate approXimation (SAX). In SAX, time series data are divided into a set of equal-sized segments. Each segment is represented by its mean value and mapped with an alphabet, where the number of adopted symbols is called alphabet size. Both parameters control data compression ratio and accuracy of time series mining tasks. Besides, optimal parameters selection highly depends on different application and data sets. In fact, these parameters are iteratively selected by analyzing entire data sets, which limits handling of the huge amount of time series and reduces the applicability of SAX.

Design/methodology/approach
The segment size is estimated based on Shannon sampling theorem (autoSAXSD_S) and adaptive hierarchical segmentation (autoSAXSD_M). As for the alphabet size, it is focused on how mean values of all the segments are distributed. The small number of alphabet size is set for large distribution to easily distinguish the difference among segments.

Findings
Experimental evaluation using University of California Riverside (UCR) data sets shows that the proposed schemes are able to select the parameters well with high classification accuracy and show comparable efficiency in comparison with state-of-the-art methods, SAX and auto_iSAX.

Originality/value
The originality of this paper is the way to find out the optimal parameters of SAX using the proposed estimation schemes. The first parameter segment size is automatically estimated on two approaches and the second parameter alphabet size is estimated on the most frequent average (mean) value among segments.
Investigating the post-adoption stage of Voice over Internet Protocol (VoIP) telephony diffusion
Authors: Shih Ying-Wei , Wu Ya-Ling , Wang Yi-Shun , Chen Chiung-Liang 
Published: October 2017

Purpose
The purpose of this paper is to investigate the post-adoption stage of Voice over Internet Protocol (VoIP) telephony diffusion, examining usage behavior based on Shih and Venkatesh’s use-diffusion (UD) model.

Design/methodology/approach
The research model incorporates technology sophistication, complementary technologies, personal innovativeness, self-efficacy, trust propensity, media exposure, subjective norms, and word-of-mouth (WOM) referrals as UD determinants; rate of use and variety of use as usage variables; intense use, specialized use, nonspecialized use, and limited use as UD patterns; and satisfaction and intention to use future-related technologies as UD outcomes. Data used to test the research model were collected using a web-based online questionnaire form; 360 valid responses were obtained. Partial least squares, multinomial logistic regression, and analysis of variance were used to analyze data.

Findings
The results reveal that variety of use, self-efficacy, propensity to trust, media exposure, subjective norms, and WOM referrals increase rate of use, while complementary technologies, personal innovativeness, self-efficacy, media exposure, and subjective norms widen variety of use; variety of use is essential in predicting UD outcomes; when choosing limited use as the reference category, more than half of the UD determinants are capable of predicting UD patterns; and generally, intense users are more satisfied with VoIP telephony, while limited users have less intention to use future-related technologies.

Originality/value
The present study focuses on the post-adoption stage, thereby extending the frontiers of research on the diffusion of VoIP telephony. Academics can obtain some evidence of the explanatory power of the UD model in the context of VoIP telephony use, and practitioners can obtain fresh insights into the dynamics of VoIP telephony usage behavior.
An extended conceptual framework to understand information and communication technology-enabled socio-economic development at community level in Bangladesh
Authors: Ashraf Mahfuz , Grunfeld Helena , Hoque Md. Rakibul , Alam Khorshed 
Published: October 2017

PurposeInformation and communication technologies (ICTs) have received much attention as a tool for development for several decades. One way in which ICTs were introduced in developing countries, particularly prior to the advent of smartphones, was through shared access and information centres. Many of these were established as pilots, but were unable to operate without external funding and were often declared failures. And some of them probably were, particularly those that focussed exclusively on ICT as a technology, rather than on how the centres could contribute to improving livelihoods. The purpose of this paper is to explore how some centres, namely “Bangladesh Rural Advancement Committee (BRAC) Gonokendra” in three villages of Bangladesh, influenced socio-economic development.Design/methodology/approachThis study was informed by the Heeks and Molla’s extended information chain model and Sen’s “development as freedom”. The field study was undertaken in three BRAC Gonokendras located in different villages in rural Bangladesh.FindingsWhile the authors found that the centres contributed to socio-economic development, this contribution was limited by social constraints, hindering the well-being of individuals and families. Addressing social constraints thus remains a challenge in order for ICTs to contribute to development.Originality/valueThe extended framework to investigate ICT-led socio-economic development implies that ICT as a catalyst can promote development at micro/community level only by simultaneously addressing social constraints.