bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small-scale private equity: demand versus supply
Authors: Dwyer Bruce , Duncan Keith , Southam Colette 
Published: February 2020

PurposeThis paper aims to bridge the gap between theoretical dissertations on the demand and supply for equity by Australian small and medium-sized enterprises (SMEs) and the reality of the capital raising markets.Design/methodology/approachThe mixed-methods approach includes questions integrated into a survey of 26,000 SMEs paired with semi-structured interviews with the CEOs or Chairs of the 15 Australian small-scale private equity (SSPE) firms.FindingsContrary to capital structure theory expectations, 46 per cent of Australian SMEs are interested in equity funding, despite a stated ability to acquire additional debt. The authors reveal a mismatch between supply and demand for SSPE with few SMEs able to meet private equity (PE) firms’ stringent investment criteria.Research limitations/implicationsThe population of Australian SSPE firms is small and interviewee responses are qualitative and are not easily replicated.Practical implicationsTo improve SSPE market liquidity, SMEs must overcome severe information asymmetry to demonstrate their quality and reduce the cost of due diligence for PE firms. One relatively easy step is for SMEs to voluntarily adopt auditable financial controls on SMEs similar to publicly traded firms.Originality/valueFew studies focus on small firm equity, which is essential to economic growth and innovation. The authors use a large data set of Australian SMEs and unique informationally rich interview data on the population of Australian firms in SSPE, an industry known for its lack of transparency.
Getting CFO on board – its impact on firm performance and earnings quality
Authors: Duong Lien , Evans John , Truong Thu Phuong 
Published: February 2020

PurposeThis paper aims to investigate the impact of Australian Chief Financial Officers (CFOs) as board insiders on firm performance and earnings quality with reference to agency theory and theory of friendly board.Design/methodology/approachThe ordinary least square, two-stage least-squares and propensity score matching regressions are performed with various proxies for firm performance and accruals quality.FindingsFirms with CFOs as board insiders experience significantly lower firm performance and earnings quality. In firms with powerful CEOs, the negative impact of CFO board membership on earnings quality is further magnified. Additionally, the negative impact of CFO board membership on firm values and earnings quality is only present in firms with bigger boards or firms with less outside directors. The findings are consistent with the agency perspective and in sharp contrast to the US market.Originality/valueThis is the first Australian study to examine the impact of CFO board membership on firm performance and earnings quality. The findings suggest that the monitoring of executives is best done by a small or independent board and that the insider board membership should be optimised.
Numerical study on convective flow and heat transfer in 3D inclined enclosure with hot solid body and discrete cooling
Authors: Alshomrani Ali S. , Sivasankaran S. , Ahmed Amer Abdulfattah 
Published: February 2020

Purpose
This study aims to deal the numerical simulation on buoyant convection and energy transport in an inclined cubic box with diverse locations of the heater and coolers.

Design/methodology/approach
The left/right walls are cooled partially whereas the other walls are kept adiabatic. In the left/right walls, three different locations of the cooler are examined, whereas heater moves in three locations in the middle of the enclosed box. The governing models are numerically solved using the finite-element method.

Findings
The simulations are done on several values of the Rayleigh number and cavity inclination angles and different locations of the heater and coolers. The results are presented in the form of streamlines, isosurfaces and Nusselt numbers for different values of parameter involved here. It is recognized that the inclination of the box and the locations of the coolers strongly influence the stream and energy transport inside the enclosed domain.

Research limitations/implications
The present investigation is conducted for steady, laminar, three-dimensional natural convective flow in a box for different locations of cooler and tilting angles of a cavity. The study might be useful to the design of solar collectors, room ventilation systems and electronic cooling systems.

Originality/value
This work examines the effects of different locations of cooler and tilting angles of a cavity on convective heat transfer in a 3D cavity. The study is useful for thermal engineering applications.
Remote teaching for equal and inclusive education in rural areas? An analysis of teachers’ perspectives on remote teaching
Authors: Stenman Saga , Pettersson Fanny 
Published: February 2020

PurposeThe aim of this study is to explore equality and inclusion as an aspect of remote teaching in rural areas. Moreover, the aim is to explore teachers' pedagogical digital competence (PDC) and school organizational support as conditions for developing remote teaching.Design/methodology/approachA mixed method approach with both qualitative and quantitative data was used.FindingsAccording to this study, remote teaching can solve many problems for school organizations and offer pupils new opportunities to learn in rural areas. Remote teaching expands the learning environment and provides pupils with equal access to qualified teachers and a wider range of learning solutions for different needs. However, the learning context needs to be redesigned with flexibility to meet the needs of individual pupils, whereas the remote teaching format itself can contribute to difficulties in teachers' flexibility. In meeting these challenges teachers' PDC and digital relational competencies are becoming increasingly important. Moreover, teachers' access to communities and school contexts where remote teaching is collaboratively discussed and elaborated on.Research limitations/implicationsThe study is limited to a region in Sweden, with ten participants.Practical implicationsThe practical implications are that equal and inclusive remote teaching is dependent on technological as well as pedagogical competence from teachers as well as from organizations.Social implicationsIf sufficient professional development for teachers is provided as well as organizational structure are in place, remote teaching is an option for equal access to education in sparsely populated areas. This means inclusive education can be provided to areas otherwise lacking in teacher competence.Originality/valueThe study is one of few that investigates how remote teaching teachers perceive the teaching form and the competencies and support required to develop and use it in rural areas.
Expatriate assignments: the “same” job may require different tasks
Authors: Martin Scott , James Reynold 
Published: February 2020

PurposeGiven a specific job, this paper aims to examine if the tasks change when moving from one country to another, and if so, whether such changes are at least partly a function of environmental factors.Design/methodology/approachA mixed-method approach (surveys and interviews) with professional-level expatriates based in the UAE.FindingsThe results indicated that the “same” job often required different tasks depending on the country. Given a matching job between home and host countries, 66 per cent of respondents indicated that the job was different and on average, 20 per cent of the job was perceived to be different. Environmental forces did account for meaningful task differences. Legal and regulatory forces were a particularly important driver of task differences.Practical implicationsIt is important to consider potential task differences in connection with expatriate assignments. Attending to task differences can have a positive impact on staffing, development and management processes.Originality/valueGiven the “same” job, the specific tasks may be different depending on the country.
A hybrid approach for modeling the key performance indicators of information facilitated product recovery system
Authors: Dwivedi Ashish , Madaan Jitender 
Published: February 2020

PurposeThis study aims to propose a comprehensive framework among Key Performance Indicators (KPIs) for analyzing the Information Facilitated Product Recovery System (IFPRS) on the basis of feedback captured from the industry experts and researchers.Design/methodology/approachTotal Interpretive Structural Modeling (TISM) methodology interspersed with fuzzy MICMAC is used to extract the interrelationships and develop a hierarchical structure among the identified KPIs. Further, the Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) method has been enforced to determine the intensity of these relationships and identify the most influential KPIs among identified KPIs from literature review and expert opinions. The outcome indicates that “information sharing,” “technology capacity” and “technology standards such as EDI, RFID” are the KPIs that have attained highest driving power.FindingsThis study has identified 15 KPIs of IFPRS and developed an integrated model using TISM and the fuzzy MICMAC approach, which is helpful to describe and organize the important KPIs and reveal the direct and indirect effects of each KPI on the IFPRS implementation. The integrated approach is developed, as the TISM model provides only binary relationship among KPIs, while fuzzy MICMAC analysis provides explicit analysis related to driving and dependence power of KPIs.Research limitations/implicationsStructural Equation Modeling (SEM) analysis can be performed based on the adequate number of responses collected using structured questionnaire. More qualitative techniques like ELECTRE, TOPSIS, etc. can be used to establish the strength of relationship among the KPIs and ranking them to focus on the few critical KPIs.Practical implicationsThe proposed modeling could empower various governmental and non-governmental regulatory bodies in formulation of policies to effectively tackle the problem related to product recovery systems. This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified KPIs more cautiously during IFPRS implementation in their organizations and the top management could formulate strategy for implementing these KPIs obtained.Originality valueThere is a lack of studies related to the modeling of KPIs of IFPRS. As vast information is essential about the products returned during different product recovery stages, this study bridges the gap in literature by providing a framework for KPIs related to IFPRS. It is expected that the results originated will assist the experts to relevantly identify the significant and drop insignificant KPI for successful product recovery implementation and performance improvement of IFPRS.
Resilient supplier selection to mitigate uncertainty: soft-computing approach
Authors: Pramanik Dipika , Mondal Samar Chandra , Haldar Anupam 
Published: February 2020

Purpose
In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-term relationships between customers and suppliers to build a resilient SCM to mitigate uncertainty for automotive organizations.

Design/methodology/approach
As these types of decisions generally involve more than a few criteria and often necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, the aim of this paper is the presentation of a new integrated fuzzy analytic hierarchy process and fuzzy additive ratio assessment method with fuzzy entropy using linguistic values to solve the supplier selection problem to build the resilient SCM under uncertain data. Fuzzy entropy is used to obtain the entropy weights of the criteria.

Findings
Organizations gather massive amounts of information known as BD on the basis of historical records of uncertainties from several internal and external sources to manage uncertainty to improve the overall performance of organizations using BI strategy for analyzing and making effective decision to support the managements of automotive manufacturing organizations in an information system.

Research limitations/implications
Although this study tries to represent a full analysis on suitable and resilient global supplier selection under various types of uncertainty, still there are some improvements that can be made in the future by developing a more refined and more sophisticated approach to further enhance the performance of the proposed scheme to calculate overall rating scores of the alternatives.

Originality/value
The novelty of this paper is to propose a framework of BI in SCM to determine a suitable and resilient global supplier where all the meaningful information, relevant knowledge and visualization retrieved by analyzing the huge and complex set of data or data streams, i.e. BD based on decision-making, to develop any manufacturing organizational performance worldwide.
Enhancing brand value using corporate social responsibility initiatives
Authors: Ajina Ahmed Suhail , Roy Sanjit , Nguyen Bang , Japutra Arnold , Al-Hajla Ali Homaid 
Published: February 2020

PurposeThis study aims to investigate employees’ perceptions of socially responsible financial services brands in Saudi Arabia. The study also identifies the motives and challenges for Islamic banks for higher involvement in social responsibility initiatives to enhance their brand values.Design/methodology/approachAn inductive approach was used in this study to identify the motives and challenges related to corporate social responsibility (CSR) activities. The research design uses a qualitative approach where in-depth interviews were carried out among the employees in the financial services sector in Saudi Arabia.FindingsFindings provide insights about how CSR initiatives for financial services brands in a developing and Islamic country are perceived. Results show that the focus of CSR activities is on the attribute of CSR, the magnitude of CSR and attitude towards CSR. Results show two main motives to engage in CSR activities, which are instrumental and ethical motives. The main challenges are related to the government, business, charitable organisations and customers and society.Practical implicationsImplications exist for how CSR is perceived in a new context and in the financial services industry. Understanding the current perception of CSR from a financial service brand perspective helps policymakers to develop appropriate platforms for financial service providers to become more socially involved.Originality/valueThe major contribution of this study lies in investigating the CSR perception among the key stakeholder (i.e. the employees) from a brand management perspective in the Saudi Arabian financial services sector. Further, this study shows the main motives and challenges, which local financial service brands face to become socially responsible. The categories of attributes, magnitude and attitudes can be used to enhance brand value in one of the economically advanced countries in the Arabic world, Saudi Arabia. In the first category “attribute”, the perception of socially responsible banks are highlighted, while the elements of CSR, including its dimensions, are emphasised in the second category “magnitude”. The third category “attitude” shows two themes, including stakeholders’ issues and business-related issues.
From sustainability constraints to innovation
Authors: Calic Goran , Shevchenko Anton , Ghasemaghaei Maryam , Bontis Nick , Ozmen Tokcan Zeynep 
Published: February 2020

Purpose
The purpose of this paper is to connect the literatures on sustainability, innovation and paradox to suggest that sustainability constraints – simultaneously addressing commercial and sustainability goals – will increase organizational innovation.

Design/methodology/approach
Drawing from the literatures on paradox, innovation and sustainability, the authors develop theory about how managers can deliberately enhance the generation and implementation of creative ideas within their organizations.

Findings
The authors build on the existing literature that suggests sustainability considerations should be strategically and deeply integrated elements of business activity by developing arguments about how such integration improves organizational performance. The authors argue sustainability considerations, by creating unique forms of constraints, improve organizational success by enhancing creative idea generation and implementation.

Practical implications
Even strategic leaders espousing to only maximize economic efficiency face the challenge of effectively managing sustainability constraints. The discrepancy between what they should do and the problems they face means strategic leaders often have fewer tools to manage and reflect on their own decision-making than is available in the management literature. This paper presents arguments from diverse research that describes potential decision processes and their outcomes.

Social implications
This paper highlights an important shift in how sustainability constraints are fundamental drivers of long-term organizational performance.

Originality/value
Extant literature treats the simultaneous attention to sustainability concerns and commercial success as difficult accomplishments of clever strategic leaders. Instead, the authors propose that simultaneous attention to sustainability and commercial imperatives is fundamental to long-term organizational success, because it is a powerful determinant of new products, services and business models.
Weekly docetaxel monotherapy for metastatic extramammary Paget’s disease: Retrospective single‐institute analysis
Authors: Nakamura Yoshio , Tanese Keiji , Hirai Ikuko , Fukuda Keitaro , Kawakami Yutaka , Amagai Masayuki , Funakoshi Takeru 
Published: February 2020

AbstractMonthly docetaxel (DTX) monotherapy is the first‐line regimen that is preferably used for metastatic extramammary Paget’s disease (EMPD). However, the high‐dose DTX regimen frequently causes severe hematological adverse events (AE). To overcome such safety concerns, a weekly low‐dose DTX monotherapy has been proposed for use in the treatment of various cancer types. In this study, we aimed to evaluate the feasibility and efficacy of weekly DTX (25 mg/m2) monotherapy for metastatic EMPD by retrospectively analyzing the clinical courses of 14 patients treated with this regimen. Weekly DTX monotherapy was well tolerated and all patients completed the treatment schedule without treatment withdrawal, dose reduction or treatment‐related death. While five cases (35.7%) experienced hematological AE, their severity was mild. The response rate was 35.7% (5/14 cases), which included five partial responses. The mean progression‐free survival (PFS) and overall survival were 7.1 (95% confidence interval [CI], 5.1–9.1) and 26.4 months (95% CI, 16.7–36.1), respectively. Furthermore, the median PFS was 7.3 months (95% CI, 4.5–10.0) in patients aged 65 years and younger and 7.1 months (95% CI, 4.4–9.9) in patients older than 65 years. These results suggest that weekly DTX monotherapy may be a useful regimen that has a high treatment continuation rate with low levels of hematological toxicity, regardless of the patient’s age for metastatic EMPD.
Bayesian inversion of joint SH seismic and seismoelectric data to infer glacier system properties
Authors: Macchioli‐Grande Franco , Zyserman Fabio , Monachesi Leonardo , Jouniaux Laurence , Rosas‐Carbajal Marina 
Published: February 2020

ABSTRACTIn glacial studies, properties such as glacier thickness and the basement permeability and porosity are key to understand the hydrological and mechanical behaviour of the system. The seismoelectric method could potentially be used to determine key properties of glacial environments. Here we analytically model the generation of seismic and seismoelectric signals by means of a shear horizontal seismic wave source on top of a glacier overlying a porous basement. Considering a one‐dimensional setting, we compute the seismic waves and the electrokinetically induced electric field. We then analyse the sensitivity of the seismic and electromagnetic data to relevant model parameters, namely depth of the glacier bottom, porosity, permeability, shear modulus and saturating water salinity of the glacier basement. Moreover, we study the possibility of inferring these key parameters from a set of very low noise synthetic data, adopting a Bayesian framework to pay particular attention to the uncertainty of the model parameters mentioned above. We tackle the resolution of the probabilistic inverse problem with two strategies: (1) we compute the marginal posterior distributions of each model parameter solving multidimensional integrals numerically and (2) we use a Markov chain Monte Carlo algorithm to retrieve a collection of model parameters that follows the posterior probability density function of the model parameters, given the synthetic data set. Both methodologies are able to obtain the marginal distributions of the parameters and estimate their mean and standard deviation. The Markov chain Monte Carlo algorithm performs better in terms of numerical stability and number of iterations needed to characterize the distributions. The inversion of seismic data alone is not able to constrain the values of porosity and permeability further than the prior distribution. In turn, the inversion of the electric data alone, and the joint inversion of seismic and electric data are useful to constrain these parameters as well as other glacial system properties. Furthermore, the joint inversion reduces the uncertainty of the model parameters estimates and provides more accurate results.
Syllable Weight Gradation in the Luwic Languages
Authors: Vertegaal Alexander 
Published: February 2020

AbstractThis paper offers a new perspective on Čop's Law and Open Syllable Lengthening, two commonly accepted sound laws that lengthened both consonants and vowels in the Luwic languages. It is proposed that both developments take similar inputs and ultimately yield the same effect: neutralisation of the syllable weight opposition in accented (stressed) syllables. This development is in line with a tendency already observable in Proto‐Anatolian, according to which unstressed syllables were made light, while stressed syllables were made heavy. Thus, it is argued, in the prehistory of the Luwic languages, vocalic length, consonantal length and syllable weight in general became increasingly dependent to the position of the stress and therefore became phonologically neutralised to a certain extent.