bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficiency of the electricity sector in Mexico 2008-2015
Authors: Navarro-Chávez César Lenin , Delfín-Ortega Odette V. , Díaz-Pulido Atzimba 
Published: January 2020

Purpose
The purpose of this paper is to determine the level of efficiency in the Mexico electricity industry during the 2008-2015 period.

Design/methodology/approach
A data envelopment analysis (DEA) network model is proposed, where technical efficiency is calculated. A factorial analysis using the principal components method was carried out first. Later, latent dimensions were calculated through the variance criterion and sedimentation graph, where four components were presented. After performing factor rotation, the nodes were grouped: generation, transmission, distribution and sales. It proceeded later to structure a DEA network model.

Findings
From the calculations made, the most efficient node was the transmission, while the North Gulf and East Center divisions were the only efficient.

Research limitations/implications
The limitations presented in this study were data collection.

Practical implications
The implications that were observed were that through the results obtained, proposals can be made to the Mexican electricity sector to improve each of the nodes, and have a better operation and reduce energy losses.

Social implications
The social impact of this type of study is that based on the results obtained, they present the basis for improving energy policy and users can have a better service that has better quality and coverage.

Originality/value
The originality of this study consists in the use of two methodologies, factor analysis methodology and DEA network model.
Cluster and forecasting analysis of the residential market in Turkey
Authors: Vatansever Metin , Demir İbrahim , Hepşen Ali 
Published: January 2020

Purpose
The main purpose of this study is to detect homogeneous housing market areas among 196 districts of 5 major cities of Turkey in terms of house sale price indices. The second purpose is to forecast these 196 house sale price indices.

Design/methodology/approach
In this paper, the authors use the monthly house sale price indices of 196 districts of 5 major cities of Turkey. The authors propose an autoregressive (AR) model-based fuzzy clustering approach to detect homogeneous housing market areas and to forecast house price indices.

Findings
The AR model-based fuzzy clustering approach detects three numbers of homogenous property market areas among 196 districts of 5 major cities of Turkey where house sale price moves together (or with similar house sales dynamic). This approach also provides better forecasting results compared to standard AR models by higher data efficiency and lower model validation and maintenance effort.

Research limitations/implications
In this study, the authors could not use any district-based socioeconomic and consumption behavioral indicators and any discrete geographical and property characteristics because of the data limitation.

Practical implications
The finding of this study would help property investors for establishing more effective property management strategies by taking different geographical location conditions into account.

Social implications
From the government side, knowing future rises, falls and turning points of property prices in different locations can allow the government to monitor the property price changes and control the speculation activities that cause a dramatic change in the market.

Originality/value
There is no previous research paper focusing on neighborhood-based clusters and forecasting house sale price indices in Turkey. At this point, it is the first academic study.
Human resource system as innovation for organisations
Authors: Mauro Túlio Gomes , Borges-Andrade Jairo Eduardo 
Published: January 2020

Purpose
This paper aims to identify relevant aspects to achieve advantage of the innovative potential of a human resource information system (HRIS). The present study compared the system implementation professionals’ perception of the results expected from the system, its characteristics and how it should be implemented.

Design/methodology/approach
Semi-structured interviews were conducted with eight information technology specialists and ten human resource (HR) professionals from four organisations at different stages of HRIS implementation, in which two had it fully implemented and two were undergoing the implementation process. The resulting data were submitted to four sets of content analyses and then compared.

Findings
Findings suggest specificities in the perception of these professionals. Critical aspects regarding the effective adoption of HRIS were addressed, such as characteristics of the systems, implementation process and human resource management model.

Originality/value
The implementation of an HRIS alone does not ensure the achievement of the obtained advantages. The results of the present study provide guidelines for implementation of HRIS as innovation for a strategic management of people. These guidelines come from different knowledge areas and from different stages of implementation. These findings corroborate models of innovation diffusion and technology acceptance.
Attracting prosocial lenders from different cultures to help others in microlending
Authors: Hong JungHwa (Jenny) , Byun Kyung-Ah (Kay) 
Published: January 2020

PurposeThe purpose of this study is to examine the role of culture and future orientation in lenders’ prosocial microlending behaviors.Design/methodology/approachThree experiments examine how different cultural backgrounds, either individualistic or collectivistic, influenced microlenders’ prosocial behaviors, including the amount of microlending, the willingness to help and the length of commitment. Further, the moderating role of future orientation among individualists is investigated.FindingsResults indicate that cultural differences influence prosocial microlending differently such that individualists give less to people in need compared to collectivists. Further, the author found that future orientation helps lenders in individualistic culture to improve prosocial microlending behaviors.Originality/valueThis paper emphasizes the role of cultural background and future orientation in promoting lenders’ prosocial giving in the context of microlending. The results assist social marketers to understand how to motivate giving behaviors via microlending among lenders in different cultures depending on future orientation.
Openness and firm innovation performance: the moderating effect of ambidextrous knowledge search strategy
Authors: Wang Chunhsien , Chin Tachia , Lin Jie-Heng 
Published: January 2020

PurposeOpenness to external knowledge has recently gained popularity as a means for firms to complement and leverage internal knowledge in the pursuit of innovation outcomes. However, conflicting evidence exists regarding the role of openness in external knowledge acquisition. This paper aims to propose that openness to external knowledge has a nonlinear effect on innovation performance and that this nonlinear relationship is contingent on an ambidextrous knowledge search strategy.Design/methodology/approachBased on original large-scale survey of 246 interfirm collaborations in the high-technology industry, it is found that the impact of openness to external knowledge on innovation performance exhibits an inverted-U shape and that this relationship is affected by an ambidextrous knowledge search strategy.FindingsThe results indicate that an ambidextrous knowledge strategy that addresses the depth and breadth of external knowledge significantly influences a firm’s ability to derive benefits from increased openness to external knowledge. Empirically, the authors provide an original contribution to high-technology firms by exploring how and why an ambidextrous knowledge strategy can be a critical catalyst spurring innovation performance.Research limitations/implicationsThe research scope is limited to a single industry. Further research could extend the theoretical framework to multiple industries, which may increase the likelihood of innovation theory development.Practical implicationsThe results suggest that firms opening up the boundaries of their innovation activity to engage in external knowledge are able to leverage their in-house innovation to enhance their innovation performance. The authors advocate that in innovation management domains, greater emphasis is needed on how openness to external knowledge has more positive impacts not only on innovation performance but also on innovation implemented management.Originality/valueThis study is among the first to investigate the ambidextrous knowledge search effect on the external knowledge of high-technology firms. This paper contributes to the theoretical and practical literature concerning openness innovation and knowledge management by reflecting on the ambidextrous knowledge search strategy.
Money laundering through raw diamonds
Authors: Teichmann Fabian Maximilian Johannes , Falker Marie-Christin 
Published: January 2020

Purpose
This paper aims to illustrate how illegally obtained funds are laundered through raw diamonds in Austria, Germany, Liechtenstein and Switzerland.

Design/methodology/approach
To identify specific money laundering techniques involving raw diamonds, this study used a qualitative content analysis of data collected from 60 semi-standardized interviews with both criminals and prevention experts and a quantitative survey of 200 compliance officers.

Findings
Raw diamonds are extraordinarily suitable for money laundering in European German-speaking countries. In particular, they may be used in all three stages of the laundering process, namely, placement, layering and integration.

Research limitations/implications
Because the qualitative findings are based on semi-standardized interviews, their insights are limited to the perspectives of the 60 interviewees.

Practical implications
Identifying gaps in existing anti-money laundering mechanisms should provide compliance officers, law enforcement agencies and legislators with valuable insights into how criminals operate.

Originality/value
While prior studies focus on the methods used by organizations to combat money laundering and how to improve anti-money laundering measures, this paper investigates how money launderers operate to avoid detection, thereby illustrating authentic experiences. Its findings provide valuable insights into the minds of money launderers and combines criminal perspective with that of prevention experts.
Money laundering through exchange offices
Authors: Teichmann Fabian Maximilian Johannes , Falker Marie-Christin 
Published: January 2020

Purpose
The purpose of this paper is to illustrate how money launderers circumvent compliance measures by using exchange offices to launder incriminated funds.

Design/methodology/approach
The three-step process entailed carrying out unofficial interviews with money launderers, which gave first insight into the issue, followed by expert interviews that were reviewed by means of a qualitative study. The findings of the qualitative study were processed during the subsequent quantitative research.

Findings
Although exchange offices are a known threat to anti-money laundering efforts, they continue to be highly applicable. As exchange offices are responsible for their own compliance measures, compliance officers employed by other institutions do not encounter money laundering through exchange offices regularly.

Research limitations/implications
The findings of the study are limited to the experiences of the interviewed experts, which, naturally, are highly subjective. Further, they are geographically limited, as certain areas were not represented in the study.

Practical implications
During the literature review, a research gap was identified. The present study attempts to partially fill the same. The illustrated findings aimed at facilitating an improvement of anti-money laundering measures. The insights into the minds of money launderers provide valuable information for legislators, compliance officers and authorities.

Originality/value
Presently, the majority of the literature focuses on the issue of money laundering from a compliance perspective. However, accurately understanding how money launderers circumvent the existing prevention measures requires an exploration of their approaches. To effectively inhibit money laundering, it is necessary to gain a holistic overview of the issue, which entails the observation of both perspectives.
Acquisition of private ownership over land plots in Russia by virtue of acquisitive prescription
Authors: Anisimov Aleksey , Ryzhenkov Anatoliy , Menis Elena 
Published: January 2020

Purpose
This study aims to clarify the scope of the legal procedure of the acquisitive prescription in Russia.

Design/methodology/approach
Dialectical method, historical method and system analysis method have been used.

Findings
The authors consistently prove the inadmissibility of applying acquisitive prescription to land plots in private, state or municipal ownership. One of the features of Russia as an emerging market economy is that, the major part of state lands is in so-called “non-delineated state ownership.” Plots included in such lands are not registered in the cadaster or transferred to particular public owners. That is why, the authors prove that the procedure of acquisitive prescription must be applied only in relation to land plots that are in non-delineated state ownership and have been occupied by citizens and legal entities for 15 years.

Originality/value
The authors propose new guarantees of the rights of private and public land owners. Clarification of the scope of the acquisitive prescription procedure will streamline the turnover of real estate in Russia.
Scheduling mechanisms in the cloud environment: a methodological analysis
Authors: Zhang Guan-hong , Odbal Odbal , Abnoosian Karlo 
Published: January 2020

PurposeToday, with the rapid growth of cloud computing (CC), there exist several users that require to execute their tasks by the available resources to obtain the best performance, reduce response time and use resources. However, despite the significance of the scheduling issue in CC, as far as the authors know, there is not any systematic and inclusive paper about studying and analyzing the recent methods. This paper aims to review the current mechanisms and techniques, which can be addressed in this area.Design/methodology/approachThe central purpose of this paper refers to offering a complete study of the state-of-the-art planning algorithms in the cloud and also instructions for future research. Besides, this paper offers a methodological analysis of the scheduling mechanisms in the cloud environment.FindingsThe central role of this paper is to present a summary of the present issues related to scheduling in the cloud environment, providing a structure of some popular techniques in cloud scheduling scope and defining key areas for the development of cloud scheduling techniques in the future research.Research limitations/implicationsIn this paper, scheduling mechanisms are classified into two main categories include deterministic and non-deterministic algorithms; however, it can also be classified into different categories. In addition, the selection of all related papers could not be ensured. It is possible that some appropriate and related papers were removed in the search process.Practical implicationsAccording to the results of this paper, the requirement for more suitable algorithms exists to allocate tasks for resources in cloud environments. In addition, some principal rules in cloud scheduling should be re-evaluated to achieve maximum productivity and minimize wasted expense and effort. In this direction, to stay away from overloading and under loading of components and resources, the proposed method should execute workloads in an adaptable and scalable way. As the number of users increased in cloud environments, the number of tasks in the cloud that needed to be scheduled proportionally increased. Thus, an efficient mechanism is needed for scheduling tasks in these environments.Originality/valueThe general information gathered in this study makes the researchers acquainted with the state-of-the-art scheduling area of the cloud. Entirely, the answers to the research questions summarized the main objective of scheduling, current challenges, mechanisms and methods in the cloud systems. The authors hope that the results of this paper lead researchers to present more efficient scheduling techniques in cloud systems.
Geographical diversification and corporate liquidity in Malaysia: a quantile regression approach
Authors: Wasiuzzaman Shaista 
Published: January 2020

Purpose
This paper aims to examine the effect of geographical diversification on corporate liquidity in Malaysian firms. Liquidity is represented by both cash and working capital.

Design/methodology/approach
Data for this study is collected from a total of 735 firms over a period of five years, from 2010 to 2014, resulting in a total of 2,904 firm-year observations. The effect of geographical diversification on the cash and working capital of the firms is analyzed by using the ordinary least squares (OLS) with standard errors adjusted for firm level clustering and the quantile regression (QR) analyses. Control variables which represent the characteristics of the firms are also considered.

Findings
Analysis using the OLS regression technique indicates that geographical diversification has a highly significant positive influence on corporate cash holdings, while the influence of working capital is negative and its significance is only at the 10 per cent level. However, when QR is used to analyze the relationships, it is found that geographical diversification is only significant in positively influencing cash holdings for firms with low cash holdings, but the relationship is insignificant at high levels of cash holdings. Additionally, working capital is significantly influenced by geographical diversification at high levels of working capital but not at low levels.

Originality/value
To the author’s knowledge, this is the first study to analyze the influence of geographical diversification on liquidity by considering both cash and working capital. The effect of diversification on liquidity is mostly studied in developed countries, whereas this study is focused on a developing country. Additionally, this study uses QR to analyze relationships at different levels rather than at aggregate level as done in OLS regression analysis.
Modified nonlocal theory for investigation the specific aspects of nonlinear behavior of carbon nanotube as a nano-resonator
Authors: Shayanmehr Mahdi , Basiri Omid 
Published: January 2020

Purpose
In this paper, the important aspects of vibration analysis of carbon nanotubes (CNTs) as nano-resonators are studied. This study has covered the important nonlinear phenomena such as jump super-harmonic and chaotic behavior. CNT is modeled by using the modified nonlocal theory (MNT).

Design/methodology/approach
In previous research studies, the effects of CNT’s rotary inertia, stiffness and shear modulus of the medium were neglected. So by considering these terms in MNT, a comprehensive model of vibrational behavior of carbon nanotube as a nanosensor is presented. The nanotube is modeled as a nonlocal nonlinear beam. The first eigenmode of an undamped simply supported beam is used to extract the nonlinear equation of CNT. Harmonic balance method is used to solve the equation, while to study its super-harmonic behavior, higher-order harmonic terms were used.

Findings
In light of frequency response equation, jump phenomenon and chaotic behavior of the nanotube with respect to the amplitude of excitation are investigated. Also in each section of the study, the effects of elastic medium and nonlocal parameters on the vibration behavior of nanotube are investigated. Furthermore, parts of the results in linear and nonlinear cases were compared with results of other references.

Originality/value
The present modification of the nonlocal theory is so important and useful for accurate investigation of the vibrational behavior of nano structures such as a nano-resonator.
Border Problems: Mapping the Third Border
Authors: Allen Jason Grant , Lastra Rosa María 
Published: January 2020

AbstractThe Internet has become the site of economically relevant objects, events and actions, as well as the source of potential risks to the financial systems. This article builds on a metaphor of ‘border problems’ in financial regulation, exploring a ‘third border’ between the ‘real world’ and ‘cyberspace’—a virtual domain of human interaction facilitated and conditioned by digital communications systems. Reviewing the ‘cyber‐sovereignty’ debate and surveying the divergent approaches now emerging along geo‐political faultlines, we argue that sovereign states still have a unique and irreplaceable role in guarding financial stability which must be reflected in the law of Internet jurisdiction: an emerging lex cryptographica financiera. We conclude with a few observations on how this could affect the design of financial regulation in the coming decade.
Does de‐escalation training work?
Authors: Engel Robin S. , McManus Hannah D. , Herold Tamara D. 
Published: January 2020

Research SummaryDe‐escalation training has been widely implemented by U.S. police agencies in the wake of adverse public reaction to recent controversial police use‐of‐force incidents. Despite vast promotion from politicians, academics, expert panels, and the public, we know little about the effects of de‐escalation training on officers and police–citizen interactions. In this article, we offer findings from a multidisciplinary systematic literature review that demonstrate limited knowledge concerning the impact of de‐escalation training across all professions. We identified 64 de‐escalation training evaluations conducted over a 40‐year period, primarily in the fields of nursing and psychiatry.Policy ImplicationsAlthough assessment outcomes reveal few adverse consequences and provide some confidence that de‐escalation trainings lead to slight‐to‐moderate individual and organizational improvements, conclusions concerning the effectiveness of de‐escalation training are limited by the questionable quality of almost all evaluation research designs. As such, important questions regarding the impact of de‐escalation training for police remain. Given the critical impact that de‐escalation training could have on officers and the public they serve, we conclude with a direct call to academics, practitioners, and funders across the field of policing to prioritize as soon as possible the testing of de‐escalation and other police use‐of‐force policies, tactics, and training.