bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single machine earliness/tardiness scheduling problem with grey processing times and the grey common due date
Authors: Arık Oğuzhan Ahmet 
Published: June 2020

PurposeThis paper presents a mixed-integer programming model for a single machine earliness/tardiness scheduling problem where the objective is to minimize total earliness/tardiness duration when the uncertainty of parameters such as processing times and due date is coded with grey numbers.Design/methodology/approachGrey theory and grey numbers are used for illustrating the uncertainty of parameters in processing times and common due date, where the objective is to minimize the total earliness/tardiness duration. The paper proposes a 0–1 mathematical model for the problem and an effective heuristic method for the problem by using expected processing times for ordering jobs.FindingsThe uncertainty of the processing times and common due date are encoded with grey numbers and a position-dependent mixed-integer mathematical programming model is proposed for the problem in order to minimize total grey earliness/tardiness duration of jobs having grey processing times and a common due date. By using expected processing times for ranking grey processing times, V-shaped property of the problem and an efficient heuristic method for the problem are proposed. Solutions obtained from the heuristic method show that the heuristic is effective. The experimental study also reveals that while differences between upper and lower bounds of grey processing times decrease, the proposed heuristic's performance decreases.Originality/valueThe grey theory and grey numbers have been rarely used as machine scheduling problems. Therefore, this study provides an important contribution to the literature.
The impact of disclosure level and client incentive on auditors’ judgments of related party transactions
Authors: Yang Ling , Ruan Lijun , Tang Fengchun 
Published: June 2020

Purpose
The purpose of this study is to present the results of an experiment that examines the effects of client management’s increased disclosure of related party transactions (RPTs) on auditors’ judgments of financial reports that contain RPTs.

Design/methodology/approach
This study used a 2 × 2 between-subjects experiment to investigate auditors’ judgments in response to questionable RPTs in a Chinese context.

Findings
The results show that the auditor participants assessed a lower likelihood that the client’s financial statements were intentionally misstated and that they were less likely to request additional evidence when the client management chose to disclose more, as opposed to less, detailed RPT information in their disclosure. Moreover, there was a significant interaction between disclosure level and client incentive to manipulate earnings on the likelihood of the auditor requesting additional evidence.

Practical implications
This study should be of interest to regulatory agencies that have expressed concerns over auditing practices related to RPTs.

Originality/value
The findings from this study help to provide a more in-depth understanding of disclosure literature by investigating voluntary RPT disclosure and the moderation role of clients’ incentives to manipulate earnings.
Initiating android phone technology using QR codes to make innovative functional clothes
Authors: Nofal Reem M. 
Published: June 2020

PurposeAndroid mobile phones are usually used in everyday life. QR (quick response) codes are one of the smart and interesting technologies to convey information fast and accurately through smartphones. So printing QR codes on different textiles by inkjet method concerns specific people, such as with Autism, and Down syndrome, deaf and dumb children and also people having Alzheimer’s disease, who do not have the ability to communicate to others properly; these people cannot know, express or remember information about their selves. So printing QR codes in their clothes can help improve their lives.Design/methodology/approachIn this study, different factors affecting QR codes scanability on fabrics were examined to clarify optimum conditions of recognition and readability. This paper examines different factors as QR Code different resolutions, sizes and lighting conditions. Different weave structures were also used. A questionnaire was done in a deaf and dumb school, for clarifying how QR codes can improve communication to some extent with others, especially those who do not realize sign language. In this study, different factors affecting QR codes’ scanability on fabrics were examined to clarify the optimum conditions of recognition and readability. This paper examines different factors as QR Code different resolutions, sizes and lighting conditions. Different weave structures were also used. A questionnaire was done in deaf and dumb school, to clarifying how QR codes can improve communication to some extent with others who especially do not realize sign language.FindingsThe finding of this study can provide basic data for future researches on QR codes printing on textiles. The effect of weave structure on QR code reading is obvious, as code reading time consumed in the plain fabric is more than that required in a twill structure. This economical method can enhance wearer life, especially for some cases as deaf and dumb cases.Originality/valueThese creative functions will surprise users and motivate them to scan the Codes. Increasing utility of QR codes in the textile and clothing field, give sustainability to the wearer clothes and accessories.
Coopetition in temporary contexts: examining swift trust and swift distrust in humanitarian operations
Authors: Schiffling Sarah , Hannibal Claire , Fan Yiyi , Tickle Matthew 
Published: June 2020

PurposeBy drawing on commitment-trust theory, we examine the role of swift trust and distrust in supporting coopetition under conditions of uncertainty and interdependence in the setting of humanitarian disaster relief organisations.Design/methodology/approachThis paper presents findings from case studies of 18 international humanitarian relief organisations based on 48 interviews and the analysis of publicly available documents.FindingsWe find that both swift trust and swift distrust support coopetition. As coopetition is simultaneous cooperation and competition, in this study we show how swift trust and swift distrust also occur simultaneously in coopetitive contexts.Research limitations/implicationsCoopetition as a strategic choice is well-researched in the private sector, yet has received less attention in the nonprofit sector, particularly in contexts that are shaped by interdependence and uncertainty. We show the importance of swift trust and swift distrust in coopetitive relationships by drawing on commitment-trust theory.Practical implicationsIn focusing on a competitive environment in which cooperation is essential, we find limited choice of coopetitive partners. Humanitarian relief organisations must often simply work with whichever other organisations are available. We highlight how trust and distrust are not opposite ends of a spectrum and detail how both contribute to coopetitive relationships.Originality/valueOur findings contribute to commitment-trust theory by explaining the important role of distrust in forging coopetitive relationships. Furthermore, we contribute to prior work on coopetition by focusing on an uncertain and interdependent nonprofit environment.
Shipping surcharges and LSQ: pricing the last mile
Authors: Barker Jordan M. , Brau Rebekah I. 
Published: June 2020

PurposePricing the shipping surcharge is a major strategic decision for online retailers, and free shipping promotions are becoming more common among online retailers. The purpose of this research is to examine the effect of last mile pricing strategies on customer attraction and retention in the hypercompetitive online retailing industry. Specifically, this paper investigates the effect of partitioning the shipping surcharge on consumer logistics service quality (LSQ) perceptions and, in turn, purchase behavior.Design/methodology/approachEmploying signaling theory and expectation–disconfirmation theory, hypotheses are derived for two specific points in an online purchase scenario: prepurchase and following a logistics disruption. The hypotheses are tested using a scenario-based experiment with manipulations for the level of shipping surcharge partitioning and the presence of a logistics disruption.FindingsThe results suggest that partitioned shipping surcharges influence prepurchase expectations of LSQ satisfaction and amplify the negative effects of logistics disruptions. This, in turn, drives the purchase and repurchase intentions.Practical implicationsThe findings inform online retailers of the perceptual and behavioral effects of last mile pricing strategies. Specifically, this research demonstrates how and under what conditioning partitioning the shipping surcharge can influence the attraction and retention of online customers.Originality/valueThis study integrates pricing and LSQ research to assess the black box of consumer purchase behavior. This is one of the first studies to empirically contrast the effects of last mile pricing strategies on consumer expectations and perceptions of LSQ.
The size-growth relationship: a test of house price growth across the regions of the British Isles
Authors: Gray David 
Published: June 2020

Purpose
This paper aims to propose that a Neave-Worthington Match Test for Ordered Alternatives is a simple, non-parametric test that can be used to consider Gibrat’s law. Whether the law, that states that the proportional rate of growth is independent of absolute size, is supported by regional house price growth rates is considered. The Match Test is further used to test the applicability of beta-convergence and dual economy models to a house price context.

Design/methodology/approach
The Match Test relates an actual rank order with an expected one. Gibrat’s law implies house price growth rates are independent of the absolute price levels. Beta-convergence posits that growth rates are inversely related to the initial price level. With a divergent system, there is a direct relationship between size-order and growth rates. As such, the Match Test is used to test alternative models of size-growth relationship.

Findings
Rather than convergence, there is a tendency to diverge across the UK, but not in Eire. That said, the size of growth shocks is related to price level on the upswing of a price cycle, but not in the down. Assigning the high-priced regions of the two islands into core and the rest into a periphery, total matching is dominated by the capital cities’ growth. The sigma-convergence observed in British house prices is likely to be associated with slower beta-divergence, not a convergent system. The law of Gibrat is not found to apply in a regional house price context.

Research limitations/implications
This work only covers two countries and nineteen regions. Gibrat’s law in regional house prices may be better examined using a multi-country analysis.

Practical implications
As the law of Gibrat is not found to apply in a regional house price context and core-regions appearing to dislocated, this has interesting implications for growth trend analysis and the claim of cointegration, which should be explored further. In particular, the level-growth relationship in the cyclical price upswing points to a ratcheting of differentials between high and low house price regions. The common trends in the long run may result from corrective periodic crashes. Not an ideal mechanism for policymakers.

Originality/value
To the best of the author’s knowledge, this paper makes a novel use of the Neave-Worthington test in the realm of regional convergence-divergence and in the first consideration of the law of Gibrat in a house price context across two countries.
A structured MPA approach to explore technological core competence, knowledge flow, and technology development through social network patentometrics
Authors: Lai Kuei-Kuei , Chen Hsueh-Chen , Chang Yu-Hsin , Kumar Vimal , Bhatt Priyanka C. 
Published: June 2020

Purpose
This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency.

Design/methodology/approach
The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis.

Findings
The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017.

Research limitations/implications
Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency.

Originality/value
The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.
Firm performance and diversification in the energy sector
Authors: Westerman Wim , De Ridder Adri , Achtereekte Marijn 
Published: June 2020

PurposeThe study aims to fill a gap in the literature on the economic impact of industrial and international diversification on firm performance in the energy sector. Li et al. (2016) investigate firms listed in China, and this study analyzes firms listed in (Western) Europe.Design/methodology/approachA sample of 129 energy firms is extracted from Datastream and covers the period from January 2009 to December 2015. Univariate and multivariate regression analyses are used to determine a plausible relation of diversification on corporate performance. Also, the difference between renewable energy firms and conventional energy firms is explored.FindingsA univariate analysis using both return on assets andTobin's Qas a variable shows that renewable energy firms have a higher profitability than conventional energy firms. However, a multivariate analysis does not confirm this result. The authors also document a negative relation between diversification strategies and firm performance.Research limitations/implicationsThe study uses main industry codes. Yet, one might make a distinction between renewable energy and conventional energy amounts with corporations. Also, the authors cover financial crisis years. Researchers might take into account more recent years.Practical implicationsThe findings of the study highlight the importance of short-term and long-term considerations for practitioners related to demand, the energy mix, oil prices and firm strategies.Originality/valueThe authors contribute to the debate and the literature when identifying similarities and differences between conventional energy firms and renewable energy firms in their application of diversification strategies and their (relation to) firm performance.
One size does not fit all: external driver of the cryptocurrency world
Authors: Erzurumlu Yaman Omer , Oygur Tunc , Kirik Alper 
Published: June 2020

Purpose
Considering the different motivation for the creation of each of these cryptocurrencies, the purpose of this paper is to examine whether there is a dominant external factor in the cryptocurrency world. Using a novel two-step time and frequency independent methodology, the authors examine a large scope of cryptocurrencies and external factors within the same period, and analytical framework.

Design/methodology/approach
The examined cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Monero and Dash. In total, 18 external factors from 5 factor families are selected based on the mining motivation of these cryptocurrencies. The study first examines discrete wavelet transform-based (WTB) correlations, reduce the dimension and focuson relevant pairs. Selected pairs are further examined by wavelet coherence to capture the intermittent nature of the relationships allowing the most needed “Flexibility of frequency and time domains”.

Findings
Each coin appears to operate as a unique character with the exception of Bitcoin and Litecoin. There is no prominent external driver. The cryptocurrency market is not a clear substitute for a specific factor or market. Two-step WTB filtered wavelet coherence analysis help us to analyze a large number of factor without the loss of focus. The co-movements within the cryptocurrencies spillover from Ethereum to altcoins and later to Bitcoin.

Originality/value
The study presents one of the first examples of two-step WTB filtered wavelet coherence analysis. The methodology suggests an approach for simultaneous examination of large number of variables. The scope of the study provides a rather holistic view of the co-movements of external factors and major cryptocurrencies.
The relationship between psychopathy and financial risk and time preferences
Authors: Shank Corey A. , Dupoyet Brice , Durand Robert , Patterson Fernando 
Published: June 2020

PurposeThe purpose of this paper is to examine the relationship between psychopathy and its underlying traits and financial risk and time preferences.Design/methodology/approachThe authors measure risk and time preferences using both the cumulative prospect theory and quasi-hyperbolic time discounting in a sample of business majors. The Psychopathic Personality Inventory – Revised test is then used to measure the global psychopathy and eight primary and two secondary traits of the sample of business majors. The measures of psychopathy are used as explanatory variables to model variation in subjects’ time and risk preferences.FindingsThe authors find that the overall score on the continuum of psychopathy is positively related to the linearity of the cumulative prospective utility function. A breakdown of psychopathy into its secondary and primary traits shows a more complex relation. For example, the secondary trait of self-centered impulsivity is statistically significant in models of financial risk preference determinants under the cumulative prospect theory. The authors find that the primary traits of self-centered impulsivity and stress immunity are related to a higher time preference discount rate under quasi-hyperbolic time preferences.Originality/valueThis paper adds to the literature on personality and financial decisions and highlights the importance of psychopathy in finance.
Multisensory rooms: essential characteristics and barriers to effective practice
Authors: Grace Joanna 
Published: June 2020

PurposeThis paper aims to identify the characteristics practitioners consider essential to effective multisensory rooms and the barriers they experience when trying to realise the potential of such rooms.Design/methodology/approachThe paper presents semi-structured interviews with 27 multisensory room practitioners from a range of backgrounds followed by analysis to identify key characteristics and barriers.FindingsEleven positive room characteristics were identified. The three deemed most significant were that the rooms are dark, activity associated and uninterrupted spaces. Two negative room characteristics were identified: inaccessible design and broken equipment. Ten barriers to effective multisensory room practice were identified and grouped according to themes of logistics, suboptimal usage and practitioner capabilities.Research limitations/implicationsThe research focuses on a small self-selecting sample, coded by one person acting independently of any institution. This is an under researched area which would benefit from further more rigorous investigation.Practical implicationsThis research enables practitioners to remove barriers to effective multisensory room practice and to focus on the characteristics most significant in generating benefits for room users. Understanding of the essential characteristics and potential barriers to effective practice will allow practitioners to better exploit limited resources of time, money and staffing.Originality/valuePast research into multisensory rooms has focused on specific user groups or specific multisensory environments. This research examined multisensory room practice across both a range of environments and a range of users, giving an original overview of current multisensory room usage in the UK.
Idea paper: Airport ecology, an environment without predation pressure drives evolution
Authors: Hayashi Ryota , Tsurui‐Sato Kaori 
Published: June 2020

AbstractEvolutionary changes in organisms are directly observable, and they can occur rapidly in the presence of strong natural selection. Here, we present the “airport ecology” to describe the rapid evolution of animals. The pygmy grasshopper Tetrix japonica exhibits significant variations in pronotum color and markings and is a good model organism for “airport ecology.” There are trade‐offs in black‐spot markings in the pygmy grasshoppers; although it helps in camouflaging and reducing predation pressure, it stimulates overheating, resulting in a reduction in mating opportunities and foraging success under high solar irradiance. Therefore, the frequency of black‐spotted morphs is lower at lower latitudes than at higher latitudes along a latitudinal cline. However, in an airport where predation pressure is reduced by the removal of predatory bird populations, we predict that the frequency of black‐spotted morphs of T. japonica will be lower in habitats without predators than in those with predators at the same latitude; this demonstrates the anthropogenic effect on T. japonica polymorphism. As suggested here, predator‐free environments such as airports are valuable for illustrating the effects of anthropogenic activity on animal evolution. These findings can be extended to several other species that are found around airports and are potentially preferred by avian predators in terms of not only rapid evolution of color polymorphism but also evolution of various life‐history traits.
Double filtration plasmapheresis: Review of current clinical applications
Authors: Hirano Ryuichiro , Namazuda Kenichiro , Hirata Noriko 
Published: June 2020

AbstractDouble filtration plasmapheresis (DFPP) is a semi‐selective blood purification modality derived from the plasma exchange (PE) modality. In the DFPP treatment, two types of filters with different pore sizes are used: a plasma separator and a plasma component separator. Blood is separated into plasma and blood cells using a plasma separator. The separated plasma is fractionated into large and small molecular weight components by a plasma component separator. Large molecular weight components, including pathogenic substances, are discarded. Small molecular weight components, including valuable substances such as albumin, are returned to the patient. The advantage of DFPP is that the volume of replacement fluid can be significantly reduced compared to PE. By selecting the optimal pore size model for the plasma component separator, DFPP can be applied to various disorders. The clinical applications of DFPP are reviewed based on recent articles on metabolic disorders, organ transplants, rheumatic disorders, neurological disorders, and dermatologic disorders.