bluuebunny/crossref_metadata_2025_split huggingface dataset:
Double bottom line commitments of microfinance: evidence from Indian institutions
Authors: Roy Prasenjit , Pati Ambika Prasad 
Published: August 2018

Purpose
The purpose of the paper is to confirm the adherence of double bottom line objectives by the microfinance institutions (MFIs) of India and, further, to identify the causal factors that work out their double bottom line commitments.

Design/methodology/approach
The study uses an empirical data set for the period of 10 years, i.e. from 2005–2006 to 2014–2015, gathered from www.mixmarket.org. It follows an exploratory approach with overall and segmented performance analysis. Further, a panel data regression model is applied to identify the causal factors of double bottom line.

Findings
The study finds that MFIs are adhering to the notion of double bottom line. The segregated analysis does not give any solid indications of trade-off. The mature and small MFIs are found to be better in attaining social objective but the new and large are better in sustainability. The non-governmental organization (NGO) category is more committed to the double bottom line than the non-NGO. The causal analysis could not show any relationship between financial performance and outreach. Though age and outreach size show relationships with small loan sizes, they do not influence sustainability. The operating and financial expenses along with portfolio quality are found to be the main causal variables of sustainability.

Practical implications
There are indications for the policy makers to frame regulations and prepare a roadmap for the mature and the large MFIs. This would help them adhere to the double bottom line, which would further streamline the operations of the MFIs in the long run. Containing operating expenses and controlling the asset quality still remain to be the challenges which need to be addressed with proper policy guidelines.

Originality/value
The analysis of the study focuses on industry classifications, which make it more intriguing in nature given the fact of the varied features like age, legal status and outreach. India being the largest microfinance market in the world has limited studies. Most of the studies in double bottom line are based on a cross-country analysis, which generalizes the individual characteristics. The study fills this gap and adds to the understanding of the double bottom line commitments in the Indian context.
Young Saudi consumers and corporate social responsibility: an Islamic “CSR tree” model
Authors: Alfakhri Yazeed , Nurunnabi Mohammad , Alfakhri Demah 
Published: August 2018

PurposeIn response to the scarcity of research on Islamic corporate social responsibility (CSR), the purpose of this paper is to explore how young Saudi consumers perceive CSR from an Islamic perspective. The study is focused on Saudi Arabia, a Muslim country, and the largest exporter of petroleum in the world.Design/methodology/approachThe present study uses a qualitative methodology with 34 in-depth interviews undertaken in two major Saudi cities (Tabouk and Riyadh).FindingsUtilising social contract theory, this study contributes to the literature by developing an Islamic “CSR Tree” model (which consists of three parts: “roots”, “trunk”, and “crown”) to increase the understanding of Islamic CSR (i-CSR) and consumer behaviour. The roots are hidden, while the trunk and crown are visible. In particular, private social responsibility (the roots of the CSR Tree) incorporatingSadaqa, or values and intention, is the fundamental component on which organisations should base their CSR strategy from an Islamic perspective. The study also reveals that internal, external, and private social responsibilities are connected, and all are dependent on each other. The higher the level of private social responsibility exhibited, the higher the level of external social responsibility.Originality/valueAccording to the CSR Tree model presented in this study, an organisation should avoidRiya(showing off) as this would represent shirk or idolatry, which is the opposite ofTawhid. The findings are particularly relevant for advancing the concept of i-CSR and for considering complex perspectives less travelled in the CSR literature. The study suggests that the best strategy for an organisation wishing to pursue an i-CSR agenda would be to balance internal and external responsibilities, and to bear in mind that private responsibility should be the motivation for action, and that CSR should be applied for the benefit of society.
Are some taxes better for growth in Pakistan? A time series analysis
Authors: Munir Kashif , Sultan Maryam 
Published: August 2018

PurposeThe purpose of this paper is to analyze the impact of taxes on economic growth in the long run as well as in the short run.Design/methodology/approachThe study uses simple time series model, where real GDP is dependent variable and different forms of taxes are explanatory variables under ARDL framework from 1976 to 2014 at annual frequency for Pakistan.FindingsDirect taxes have positive relation with economic growth in the long run. Sales tax, tax on international trade (tariffs) and other indirect taxes have positive impact on economic growth of Pakistan in the long run as well as in the short run. However, sales tax and other indirect taxes impact negatively on economic growth in the short run after one year because people realize decline in their real income.Practical implicationsGovernment should increase direct taxes by increasing tax base. Indirect taxes usually indicate negative impact after one and two years; therefore, government should decrease its reliance on indirect taxes. Government should promote tax awareness among the people which increase the tax morale of people and increase the tax base.Originality/valueTaxes are disaggregated into direct and indirect taxes, while indirect taxes have been further disaggregated into excise duty, sales tax, surcharges, tax on international trade and other indirect taxes. This study provides useful insight for policy makers in designing taxes and their effect on growth.
Industrial development and unemployment in Nigeria: an ARDL bounds testing approach
Authors: Adu Omobola , Edosomwan Oghogho , Babajide Abiola Ayopo , Olokoyo Felicia 
Published: August 2018

Purpose
The industrial sector has been identified as one of the means to address the issue of unemployment due to its role in ensuring sustainable development. However, evidence from the Central Bank of Nigeria Statistical Bulletin reveals that the sector lags behind the agricultural and services sector in terms of its contribution to the gross domestic product. In light of this, the purpose of this paper is to ascertain whether the industrial sector development is a veritable tool in addressing the issue of unemployment in the long run for the Nigerian economy.

Design/methodology/approach
In order to determine whether industrial development is a veritable tool in addressing the issue of unemployment in the long run, the study makes use of the Autoregressive Distributed Lag model. The choice of this method over the commonly used Johansen co-integration approach is that it provides the mechanism to estimate the model in the presence of different order of integration among the macroeconomic variables; it allows us to combine and I(0) and I(1) series, while there is strict assumption of I(1) for all variables under the Johansen approach.

Findings
The major finding of the paper is that an inverse and elastic relationship exists between industrial output and unemployment. This suggests that the unemployment rate is very sensitive to changes in the industrial sector in Nigeria.

Research limitations/implications
The major limitation is the availability of recent data to capture recent happenings in the Nigerian economy.

Originality/value
The paper considers the entire sector encompassed in the industrial sector as opposed to focusing on just the manufacturing sector.
Social expenditure, social rights, and benefit receipt as indicators of welfare state generosity
Authors: Otto Adeline 
Published: August 2018

PurposeRevitalising the debate about how to operationalise and measure the extent of welfare states – the so-called dependent variable problem – recent research claims a close theoretical interaction between three different indicators: aggregated data on social expenditure, social rights and social benefit receipt. It is suggested that they all serve as an approximation of welfare state generosity as a dependent variable and help understand variation between as well as change of welfare states. The purpose of this paper is to investigate how these three indicators statistically relate to each other, using data on unemployment cash benefits.Design/methodology/approachTo this end, a time series cross-sectional analysis is carried out, covering 16 European countries for the period 2003–2011.FindingsResults confirm theoretical reflections on the link between the different indicators, whereby higher levels of social expenditure are positively associated with more generous social rights as well as higher levels of benefit receipt. Additionally, the study points to an ambivalent relation between benefit access and benefit levels within indicators as well as across them. This suggests competing policy choices in European welfare states, whereby more generous benefit access implies lower benefit levels and vice versa.Originality/valueThe study contributes to the existing dependent variable literature in a twofold way. First, the conceptual link between the three different indicators and the assumptions they are associated with are critically reviewed. Second, by providing a statistical analysis of the relation between the different indicators across 16 countries, the study goes beyond theoretical elaborations about their association as well as existing small-N or medium-N case time trend studies.
An ethical conundrum: the estimation of event attendance
Authors: Biaett Vern 
Published: August 2018

Purpose
The purpose of this paper is to examine issues of ethical corporate social responsibility related to the estimation of event attendance, scrutinize the philosophy of situational ethics as justification for reporting inflated figures and present a potential solution to the dilemma.

Design/methodology/approach
A conceptual approach is applied. First, the importance of attendance as a primary evaluation variable for economic, social and environmental impact studies, as well as for event stakeholder return on investment in general, is clarified. A brief review follows on the subject of event attendance estimation as reported in both popular and academic literature, before moving into a content analysis of this literature to investigate if there are existing concerns of ethical corporate social responsibility.

Findings
Attendance at events as reported by popular media remains controversial. Methods for arriving at accurate figures have been investigated and reported upon in academic literature, but there remains no consensus on how to best estimate event crowd size. Inflated attendance numbers reported are too often justified by situational ethics, a non-logical philosophy that has been previously debunked. A content analysis of popular media and academic literature revealed a lack of concern for ethical corporate social responsibility when it comes to the accurate estimation of event attendance.

Practical implications
The failure to accept ethical corporate social responsibility when estimating attendance harms event stakeholders and leads to misleading and unreliable impact data.

Originality/value
This subject has not been previously addressed and is important to advancing the professionalism of event management.
Self-other agreement of leadership
Authors: Mosson Rebecca , Hasson Henna , von Thiele Schwarz Ulrica , Richter Anne 
Published: August 2018

Purpose
A common component in leadership interventions is the provision of feedback on leadership behaviors. The assumption is that, when there is a discrepancy in this feedback between managers’ and others’ ratings of leadership, this will increase managers’ self-awareness and motivate them to close this gap. The purpose of this paper is to investigate how agreement between managers and their subordinates changes over time as a result of a leadership intervention.

Design/methodology/approach
Questionnaire data were collected from line managers (N=18) and their subordinates (N=640) at pre-intervention, post-intervention and at a six-month follow-up. The managers participated in a leadership intervention that aimed to increase their knowledge and skills related to the leadership behaviors described in the Full-Range Leadership Model. Inter-rater agreement and reliability were calculated to justify aggregating the subordinates’ ratings. The managers and their subordinates were grouped according to three agreement categories: in agreement, managers’ over-rating and managers’ under-rating based on the managers’ views of their leader behaviors in relation to their subordinates’.

Findings
Manager-subordinate agreement on the managers’ leadership increased between pre-intervention and post-intervention but then decreased at the six-month follow-up (17, 61 and 44 percent, respectively). Most managers (n=15) changed agreement categories over time, and only three managers remained in the same agreement category throughout. The subordinates’ mean leadership ratings changed more than the managers’ mean ratings.

Originality/value
This is the first study to explore how manager-subordinate agreement changes when managers participate in a leadership intervention in a health care context. It shows that an intervention that includes upward feedback, by which managers self-rating of their leadership is compared with their subordinates’ ratings, can be an effective way to increase agreement.
Wear resistance behavior of striated tool for cross wedge rolling
Authors: Huang Haibo , Liu Jinpeng , Fan Binbin , Chen Xing , Yu Aibing , Shu Xuedao 
Published: August 2018

Purpose
The purpose of this paper is to investigate the wear resistance behavior of the striated tool for cross wedge rolling (CWR).

Design/methodology/approach
A mechanical-thermal coupled, temperature-dependent FE wear model was developed to explore the wear behaviors for striated CWR tools. To verify the proposed FE model, a newly developed measuring device was also developed to measure wear on the tool ridge. To find the impact order of the parameters of striate unit, orthogonal experiment was carried out.

Findings
The experimental and numerical results both indicate that the wear resistance of striated tool is better than that of smooth tool. Minimum tool ridge wear can be achieved by choosing proper tool contact temperature with striated units on crossed ridge. The order of the striation geometrical factors’ impact on ridge wear is striation width > striation interval > striation length.

Research limitations/implications
Because of the specified tool, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

Originality/value
It is shown that the wear resistance of striated CWR tool is better than that of smooth tool. The information may help CWR manufactures to design and produce tools with less wear.
Real-time location systems in nursing homes: state of the art and future applications
Authors: Oude Weernink C.E. , Felix E. , Verkuijlen P.J.E.M. , Dierick-van Daele A.T.M. , Kazak J.K. , van Hoof J. 
Published: August 2018

Purpose
In the domain of healthcare, both process efficiency and the quality of care can be improved through the use of dedicated pervasive technologies. Among these applications are so-called real-time location systems (RTLS). Such systems are designed to determine and monitor the location of assets and people in real time through the use of wireless sensor networks. Numerous commercially available RTLS are used in hospital settings. The nursing home is a relatively unexplored context for the application of RTLS and offers opportunities and challenges for future applications. The paper aims to discuss these issues.

Design/methodology/approach
This paper sets out to provide an overview of general applications and technologies of RTLS. Thereafter, it describes the specific healthcare applications of RTLS, including asset tracking, patient tracking and personnel tracking. These overviews are followed by a forecast of the implementation of RTLS in nursing homes in terms of opportunities and challenges.

Findings
By comparing the nursing home to the hospital, the RTLS applications for the nursing home context that are most promising are asset tracking of expensive goods owned by the nursing home in order to facilitate workflow and maximise financial resources, and asset tracking of personal belongings that may get lost due to dementia.

Originality/value
This paper is the first to provide an overview of potential application of RTLS technologies for nursing homes. The paper described a number of potential problem areas that can be addressed by RTLS.
Development of test scenarios and bicyclist surrogate for the evaluation of bicyclist automatic emergency braking systems
Authors: Yi Qiang , Chien Stanley , Li Lingxi , Niu Wensen , Chen Yaobin , Good David , Chen Chi-Chih , Sherony Rini 
Published: August 2018

Purpose
To support the standardized evaluation of bicyclist automatic emergency braking (AEB) systems, test scenarios, test procedures and test system hardware and software tools have been investigated and developed by the Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis. This paper aims to focus on the development of test scenarios and bicyclist surrogate for evaluating vehicle–bicyclist AEB systems.

Design/methodology/approach
The harmonized general estimates system (GES)/FARS 2010-2011 crash data and TASI 110-car naturalistic driving data (NDD) are used to determine the crash geometries and environmental factors of crash scenarios including lighting conditions, vehicle speeds, bicyclist speeds, etc. A surrogate bicyclist including a bicycle rider and a bicycle surrogate is designed to match the visual and radar characteristics of bicyclists in the USA. A bicycle target is designed with both leg pedaling and wheel rotation to produce proper micro-Doppler features and generate realistic motion for camera-based AEB systems.

Findings
Based on the analysis of the harmonized GES/FARS crash data, five crash scenarios are recommended for performance testing of bicyclist AEB systems. Combined with TASI 110-car naturalistic driving data, the crash environmental factors including lighting conditions, obscuring objects, vehicle speed and bicyclist speed are determined. The surrogate bicyclist was designed to represent the visual and radar characteristics of the real bicyclists in the USA. The height of the bicycle rider mannequin is 173 cm, representing the weighted height of 50th percentile US male and female adults. The size and shape of the surrogate bicycle were determined as 26-inch wheel and mountain/road bicycle frame, respectively. Both leg pedaling motion and wheel rotation are suggested to produce proper micro-Doppler features and support the camera-based AEB systems.

Originality/value
The results have demonstrated that the developed scenarios, test procedures and bicyclist surrogate will provide effective objective methods and necessary hardware and software tools for the evaluation and validation of bicyclist AEB systems. This is crucial for the development of advanced driver assistance systems.
On the impact of connected automated vehicles in freeway work zones: a cooperative cellular automata model based approach
Authors: Zou Yun , Qu Xiaobo 
Published: August 2018

Purpose
Freeway work zones have been traffic bottlenecks that lead to a series of problems, including long travel time, high-speed variation, driver’s dissatisfaction and traffic congestion. This research aims to develop a collaborative component of connected and automated vehicles (CAVs) to alleviate negative effects caused by work zones.

Design/methodology/approach
The proposed cooperative component is incorporated in a cellular automata model to examine how and to what scale CAVs can help in improving traffic operations.

Findings
Simulation results show that, with the proposed component and penetration of CAVs, the average performances (travel time, safety and emission) can all be improved and the stochasticity of performances will be minimized too.

Originality/value
To the best of the authors’ knowledge, this is the first research that develops a cooperative mechanism of CAVs to improve work zone performance.
Origins of nature tourism in imperial China
Authors: Yan Libo 
Published: August 2018

PurposeThe purpose of this paper is to apply what can be learned from the emergence of nature tourism to understand some current and future trends of tourism.Design/methodology/approachThis study adopted the evolutionary paradigm for investigation.FindingsThe emergence of nature tourism in early medieval China can be attributed to four major factors, including transformation of value orientations, seeking longevity, interest in suburbs and population migration.Research limitations/implicationsHistorical studies help understand the current and future trends. When the contributing factors for nature tourism are linked to the contemporary world, it can be found that these factors are still playing a part in shaping tourism trends or patterns in their original or alternative forms. These trends or patterns are worthy of scholarly investigations.Originality/valueThis paper offers a comprehensive understanding of the origins of nature tourism.
Specialties and strategies in academic libraries: a cluster analysis approach
Authors: Koizumi Masanori , Widdersheim Michael Majewski 
Published: August 2018

Purpose
Professional work is becoming more specialized and diffused, with new specialties emerging on the boundaries of established professions. The purpose of this paper is to examine current specialties in academic librarianship in order to infer what strategies they employ.

Design/methodology/approach
This research uses a sample of 60 US research libraries to investigate current specialties in academic librarianship, in order to analyze and classify the specialties into groups based on similarities, and categorize academic libraries based on the staffing patterns identified, and illustrate the challenges and strategies of each classification. The sample was selected from the membership of the Association of Research Libraries, and designed to include both large and medium-sized research libraries. 888 different job titles were identified for 2,074 specialist positions extracted from staff directories containing information on 11,688 librarians. The positions were analyzed and classified using the framework provided by Cox and Corrall (2013), and the specialty composition of the libraries was investigated with Ward’s (1963) hierarchical method of cluster analysis, using 28 variables.

Findings
The cluster analysis identified subspecialties within the groups and revealed seven distinct staffing strategies of the libraries.

Originality/value
Describing specialties and strategies in academic libraries by cluster analysis based on huge data is a significantly novel and effective approach for capturing the concept of specialization.