bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isomorphic factors in the adoption of ERP by Indian medium-sized firms
Authors: Sharma Seema , Daniel Elizabeth Mary 
Published: October 2016

PurposeThe purpose of this paper is to adopt an institutional theory perspective to investigate the adoption of enterprise resource planning (ERP) systems by medium-sized firms in India. The rationale for this study is to provide a more complete understanding of ERP adoption, moving beyond the traditional technical and economic perspectives to include social, cultural and structural influences. These later influences are more implicit, insidious and pervasive and hence require elucidatory studies such as this, but offer a greater understanding of the adoption of information systems (IS).Design/methodology/approachThe study is undertaken by means of nine case studies of medium-sized firms in India that have adopted ERP systems. Qualitative interviews were undertaken with a range of staff in each firm and are supplemented by data from other sources such as site visit notes.FindingsInstitutionally based studies have tended to focus on three high-level isomorphic pressures: coercive, normative and mimetic. The study identifies number of more detailed factors that contribute to each of these three pressures. These more detailed factors are then used to consider how factors can interact and how they can explain aspects of the Indian context of the study.Originality/valueThe conceptual contribution of this study is to move beyond the technical and economic rationales frequently identified for the adoption of IS by identifying influences that are social, cultural and structural in nature. The study shows that the three high-level isomorphic pressures, mimetic, coercive and normative are comprised of more detailed factors. The empirical contribution of the paper is to identify these detailed factors, and to explore their influence, in the case of ERP adoption by Indian medium-sized firms. The study is of value to practitioners, since it is at the detailed level of factors that managers can recognize the forces they are subject to and can take action. It is also valuable to researchers since the detailed factors help address two limitations of institutional theory; a lack of agency perspective and a degree of conceptual ambiguity.
Examining employment relationship activities in family business research
Authors: Ferraro Holly , Marrone Jennifer 
Published: October 2016

PurposeThe purpose of this paper is to examine the family business literature on human resource management (HRM) activities within family-owned businesses to advance theory and practice.Design/methodology/approachThis paper is a review of research on the formation, adaptation, and termination of the employment relationship within family businesses.FindingsImportant areas for future research are revealed. For example, little research investigates how family members are recruited, socialized, or how exit decisions are made. In contrast, significant attention has been given to role transitions during succession.Research limitations/implicationsThe paper focuses on managing employment relationships (e.g. recruitment, selection, etc.) within family businesses. The research revealed HRM activities within family businesses are often informal so aspects of the employment relationship may not be fully captured by extant research.Practical implicationsThis review provides specific HRM suggestions for practitioners to consider. For example, this review highlights that training inside the family business can be as effective as training outside the family business.Originality/valueThis review is novel in applying an established HRM framework to family business research and focuses on HRM activities of family members as opposed to non-family employees. The paper offers considerations for families bringing next generation members into their businesses and preparing offspring to run them successfully.
Addressing current and future challenges for the NHS: the role of good leadership
Authors: Elton Lotte 
Published: October 2016

Purpose
This paper aims to describe and analyse some of the ways in which good leadership can enable those working within the National Health Service (NHS) to weather the changes and difficulties likely to arise in the coming years, and takes the format of an essay written by the prize-winner of the Faculty of Medical Leadership and Management's Student Prize. The Faculty of Medical Leadership and Management ran its inaugural Student Prize in 2015-2016, which aimed at medical students with an interest in medical leadership. In running the Prize, the Faculty hoped to foster an enthusiasm for and understanding of the importance of leadership in medicine.

Design/methodology/approach
The Faculty asked entrants to discuss the role of good leadership in addressing the current and future challenges faced by the NHS, making reference to the Leadership and Management Standards for Medical Professionals published by the Faculty in 2015. These standards were intended to help guide current and future leaders and were grouped into three categories, namely, self, team and corporate responsibility.

Findings
This paper highlights the political nature of health care in the UK and the increasing impetus on medical professionals to navigate debates on austerity measures and health-care costs, particularly given the projected deficit in NHS funding. It stresses the importance of building organisational cultures prizing transparency to prevent future breaches in standards of care and the value of patient-centred approaches in improving satisfaction for both patients and staff. Identification of opportunities for collaboration and partnership is emphasised as crucial to assuage the burden that lack of appropriate social care places on clinical services.

Originality/value
This paper offers a novel perspective – that of a medical student – on the complex issues faced by the NHS over the coming years and utilises a well-regarded set of standards in conceptualising the role that health professionals have to play in leading the NHS.
The need for leadership training in long-term care settings
Authors: Davis Jullet A. 
Published: October 2016

Purpose
Globally, in 1980, approximately 5.8 per cent of the world population was 65 years old and older. By 2050, this number will more than triple to 16 per cent. From a leadership perspective, there is at least one challenge (among many others challenges) to consider. This paper (viewpoint) aims to provide support for the growing need for academically prepared managers.

Design/methodology/approach
This paper is a viewpoint which presents several characteristics of the long-term care (LTC) field that support the need for academically trained leaders.

Findings
LTC leaders in all countries must be sufficiently versed in numerous management areas to provide leadership when called on by those assigned to their care. Given local area variations in population needs present across all countries, it may be unwise to advocate for national, countrywide standardization of requirements. Yet, older adults accessing LTC services should expect a minimum level of knowledge from all of their providers – not just those who provide direct, hands-on care. However, similar to those who provide direct care, leaders should receive competency-based education with specific attention to effective communication skills, team-based approaches to care delivery, information technologies and population health.

Originality/value
Although much of the extant literature focuses on the delivery of care to older persons, there is a dearth of literature addressing the role of LTC leaders in light of global aging. Establishing a minimum level of academic training and increasing transparency focused on the positive experiences of elders residing in LTC facilities should help dispel the notion that placement in an LTC facility reflects filial failure.
The “Backus-Smith” puzzle, non-tradable output, and international business cycles
Authors: Moon Soojae 
Published: October 2016

Purpose
This paper aims to examine the effects of adding non-tradable sector and trade in intermediate goods sector and their impact on the “Backus-Smith” (BS) puzzle and the features of the non-tradable output. Conventional international real business cycle models show that the real exchange rate and the terms of trade are positively correlated to the relative consumption movement between the home and foreign economies when there is a total factor productivity shock, whereas the correlation in the data is negative. The author develops a two-country, dynamic, stochastic and general equilibrium (DSGE) model with staggered price setting in the non-tradable sector and international trade in intermediate goods sector because of product differentiation in a high-asset market frictions situation.

Design/methodology/approach
In this paper, DGSE simulation and calibration are performed using Matlab with Dynare.

Findings
When the world economy has positive country-specific productivity shock, the benchmark model with non-tradable sector and intermediate goods sector successfully solves the BS puzzle and is able to match several features of the data. The dynamic responses to productivity shock show that integrating product differentiation is necessary to generate a more volatile and counter-cyclical non-tradable output.

Originality/value
The paper investigates the effects of incorporating non-tradable sector and trade in interemediate goods sector to standard two-country DSGE model through simulation and calibration.
Spillovers between output and stock prices: a wavelet approach
Authors: McMillan David G. , Kumar Tiwari Aviral 
Published: October 2016

Purpose
This paper seeks to examine the nature of spillovers between output and stock prices using both a long annual time series spanning 200 years and a shorter but quarterly observed data set.

Design/methodology/approach
The authors’ particular interest is to examine both the time-varying nature of the spillovers and spillovers across the frequency using wavelet analysis.

Findings
The results reveal an interesting detail that is missed when considering spillovers for the raw data. Using annual long run data, spillovers in the raw data are in the order of approximately 10 per cent for stocks to output and 25 per cent for output to stocks. But this increases up to 50 per cent and above (in both directions) when considering different frequencies. Similar results are reported with the quarterly data, although the differences between the raw data and the wavelets are smaller in nature. Finally, output explains more of the variation in stocks than stocks explains in output.

Originality/value
The nature of these results is important for policy-makers, market participants and academics alike, while the use of wavelets provides information across different frequencies.
Change detection in very high resolution imagery and vector data applied to the monitoring of geographical conditions
Authors: Zhao Zhenzhen , Lin Aiwen , Yan Qin , Feng Jiandi 
Published: October 2016

Purpose
Geographical conditions monitoring (GCM) has elicited significant concerns from the Chinese Government and is closely related to the “Digital China” program. This research aims to focus on object-based change detection (OBCD) methods integrating very-high-resolution (VHR) imagery and vector data for GCM.

Design/methodology/approach
The main content of this paper is as follows: a multi-resolution segmentation (MRS) algorithm is proposed for obtaining homogeneous and contiguous image objects in two phases; a post-classification comparison (PCC) method based on the nearest neighbor algorithm and an image-object analysis (IOA) technique based on a differential entropy algorithm are used to improve the accuracy of the change detection; and a vector object-based accuracy assessment method is proposed.

Findings
Results show that image objects obtained using the MRS algorithm attain the objectives of the “same spectrum within classes” and “different spectrum among classes”. Moreover, the two OBCD methods can detect over 85 per cent of the changed regions. The PCC strategy can obtain the categories of image objects with a high degree of precision. The IOA technique is easy to use and largely automated.

Originality/value
On the basis of the VHR satellite imagery and vector data, the above methods can effectively and accurately provide technical support for GCM implementation.
Chemically modified carbon paste electrode for the detection of lead, cadmium and zinc ions
Authors: Koirala Kisan , Santos Jose H. , Tan Ai Ling , Ali Mohammad A. , Mirza Aminul H. 
Published: October 2016

Purpose
This paper aims to develop an inexpensive, portable, sensitive and environmentally friendly electrochemical sensor to quantify trace metals.

Design/methodology/approach
A sensor was constructed by modifying carbon paste electrode for the determination of lead, cadmium and zinc ions using square wave anodic stripping voltammetry (SWASV). The modified electrode was prepared by inserting homogeneous mixture of 2-hydroxy-acetophenonethiosemicarbazone, graphite powder and mineral oil. Various important parameters controlling the performance of the sensor were investigated and optimized. Electrochemical behavior of modified electrode was characterized by cyclic voltammetry.

Findings
Modified carbon pastes electrodes showed three distinct peaks at −0.50, −0.76 and −1.02 V vs silver/silver chloride corresponding to the oxidation of lead, cadmium and zinc ions at the electrode surface, respectively. The highest peak currents for all the metal ions under study were observed in the phosphate buffer solution at pH 1 with a deposition time of 70 s. The sensor exhibited linear behavior in the range of 0.25-12.5 μg mL-1 for lead and cadmium and 0.25-10.0 μg mL−1 for zinc. The limit of detection was calculated as 78.81, 96.17 and 91.88 ng mL−1 for Pb2+, Cd2+and Zn2+, respectively. The modified electrode exhibited good stability and repeatability.

Originality/value
A chemically modified electrode with Schiff base was applied to determine the content of cadmium, lead and zinc ions in aqueous solutions using SWASV.
A review of olfactory cell-based sensors: coupling microelectronics to olfactory cells
Authors: Zheng Qianqian , Chen Liangliang , Lu Luyao , Ye Xuesong 
Published: October 2016

Purpose
Olfaction plays a very important role in daily life. The olfactory system has the ability to recognize, discriminate and identify thousands of odorant compounds with extremely high sensitivity and specificity. The research on olfactory system has very important values in exploring the mechanisms of information processing in the other sensory nervous systems and brain. Recently, with the development of molecular biological and microelectronics technology research, the study of olfactory cell-based sensors has made great progress. The purpose of this paper is to provide details of recent developments in olfactory cell-based sensors.

Design/methodology/approach
Following an introduction, this paper first discusses some olfactory cell-based biosensors, which focus on the light-addressable potentiometric sensors and the microelectrode arrays. Second, surface modification, microfabrication and microfluidic technology which can improve the efficiency of cell immobilization will be summarized. The research trends of olfactory cell-based sensor in future will be proposed.

Findings
This paper shows that the biosensors’ performance is expected to be greatly improved due to the fast development of nanotechnology, optical technology and microelectronics. More and more emerging intelligent olfactory sensors will have a promising prospect in many application fields, including food quality and safety assessment, environmental monitor and human diseases detection.

Originality/value
This paper provides a detailed and timely review of the rapidly growing research in the olfactory cell-based sensors.
Internal and external factors effect on the mobile pressure sensors’ performance
Authors: Dalgin Semih , Dogru Ahmet Özgür 
Published: October 2016

Purpose
The purpose of this study is to investigate the effect of internal and external factors on the accuracy and consistency of the data provided by mobile-embedded micro-electromechanical system (MEMS) pressure sensors based on smartphones currently in use.

Design/methodology/approach
For this purpose, sensor type and smartphone model have been regarded as internal factors, whereas temperature, location and usage habits have been considered as external factors. These factors have been investigated by examining data sets provided by sensors from 14 different smartphones. In this context, internal factors have been analyzed by implementing accuracy assessment processes for three different smartphone models, whereas external factors have been evaluated by analyzing the line charts which present timely pressure changes.

Findings
The study outlined that the sensor data at different sources have different characteristics due to the affecting parameters. Even if the pressure sensors are used under similar circumstances, data of these sensors have inconsistencies because of the sensor drift originated by internal factors. This study concluded that it was not applicable to provide a common correction coefficient for pressure sensor data of each smartphone model. Therefore, relative data (pressure differences) should be taken into consideration rather than absolute data (pressure values) when developing mobile applications using sensor data.

Research limitations/implications
Results of this study can be used as the guideline for developing mobile applications using MEMS pressure sensors. One of the main finding of this paper is promoting the use of relative data (pressure differences) rather than absolute data (pressure values) when developing mobile applications using smartphone-embedded sensor data. This significant result was proved by examinations applied with in the study and can be applied by future research studies.

Originality/value
Existing studies mostly evaluate the use of MEMS pressure sensor data obtained from limited number of smartphone models. As each smartphone model has a specific technology, factors affecting the sensor performances should be identified and analyzed precisely in terms of smartphone models for providing extensive results. In this study, five smartphone models were used fractionally. In this context, they were used for examining the common effects of the factors, and detailed accuracy assessments were applied by using two high-tech smartphones in the market.
3D printing: an emerging technology for sensor fabrication
Authors: Bogue Robert 
Published: October 2016

Purpose
This study aims to provide a technical insight into sensors fabricated by three-dimensional (3D) printing methods.

Design/methodology/approach
Following an introduction to 3D printing, this article first discusses printed sensors for strain and allied variables, based on a diverse range of principles and materials. It then considers ultrasonic and acoustic sensor developments and provides details of a sensor based on 3D printed electronic components for monitoring food quality in real-time. Finally, brief concluding comments are drawn.

Findings
Several variants of the 3D printing technique have been used in the fabrication of a range of sensors based on many different operating principles. These exhibit good performance and sometimes unique characteristics. A key benefit is the ability to overcome the limitations of conventional manufacturing techniques by creating complex shapes from a wide range of sensing materials.

Originality/value
3D printing is a new and potentially important sensor fabrication technology, and this article provides details of a range of recently reported developments.
Efficacy and safety of superficial cryotherapy for alopecia areata: A retrospective, comprehensive review of 353 cases over 22 years
Authors: Jun Myungsoo , Lee Noo Ri , Lee Won‐Soo 
Published: October 2016

AbstractAlopecia areata (AA) affects anagen hair follicles, resulting in non‐scarring hair loss. Since introduced by Huang et al., superficial cryotherapy has been accepted as a considerable primary therapeutic modality for AA. The aim of this study was to objectively clarify the therapeutic efficacy and safety of superficial hypothermic cryotherapy for treatment of AA. Medical records of 353 patients from 1993 to 2014 were retrospectively analyzed. According to the response to the superficial cryotherapy, patients were categorized into four groups: “marked”, “partial”, “poor” and “no recovery”. The marked and partial recovery groups were considered as responders. The proportions of the responders among patient subgroups which were defined by various patients, disease, and treatment factors were compared. Of the patients, 60.9% were classified as responders after 3 months of superficial hypothermic cryotherapy. The proportion of the responders were higher when the treatment interval was 2 weeks or less and in the incipient disease stage, with statistical significance. No severe side‐effects other than mild pain and pruritus were reported. In conclusion, superficial cryotherapy is an effective and safe therapeutic modality for AA. Especially when the treatment interval is 2 weeks or less and in the first occurrence of the disease, the therapeutic outcome is superior.
Scanning anisotropy parameters in horizontal transversely isotropic media
Authors: Masmoudi Nabil , Stovas Alexey , Alkhalifah Tariq 
Published: October 2016

ABSTRACTThe horizontal transversely isotropic model, with arbitrary symmetry axis orientation, is the simplest effective representative that explains the azimuthal behaviour of seismic data. Estimating the anisotropy parameters of this model is important in reservoir characterisation, specifically in terms of fracture delineation. We propose a travel‐time‐based approach to estimate the anellipticity parameter η and the symmetry axis azimuth ϕ of a horizontal transversely isotropic medium, given an inhomogeneous elliptic background model (which might be obtained from velocity analysis and well velocities). This is accomplished through a Taylor's series expansion of the travel‐time solution (of the eikonal equation) as a function of parameter η and azimuth angle ϕ. The accuracy of the travel time expansion is enhanced by the use of Shanks transform. This results in an accurate approximation of the solution of the non‐linear eikonal equation and provides a mechanism to scan simultaneously for the best fitting effective parameters η and ϕ, without the need for repetitive modelling of travel times. The analysis of the travel time sensitivity to parameters η and ϕ reveals that travel times are more sensitive to η than to the symmetry axis azimuth ϕ. Thus, η is better constrained from travel times than the azimuth. Moreover, the two‐parameter scan in the homogeneous case shows that errors in the background model affect the estimation of η and ϕ differently. While a gradual increase in errors in the background model leads to increasing errors in η, inaccuracies in ϕ, on the other hand, depend on the background model errors. We also propose a layer‐stripping method valid for a stack of arbitrary oriented symmetry axis horizontal transversely isotropic layers to convert the effective parameters to the interval layer values.