bluuebunny/crossref_metadata_2025_split huggingface dataset:
Housing prices in emerging countries during COVID-19: evidence from Turkey
Authors: Kartal Mustafa Tevfik , Kılıç Depren Serpil , Depren Özer 
Published: October 2021

PurposeBy considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI). In this context, a total of 12 explanatory (3 macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks.Design/methodology/approachA quantile regression (QR) model is used to examine the main determinants of RPPI in Turkey. A monthly time series data set for the period between January 2010 and October 2020 is included. Moreover, NRPPI and ORPPI are examined for robustness.FindingsPredictions for RPPI, NRPPI and ORPPI are carried out separately at the country (Turkey) level. The results show that market variables are more important than macroeconomic variables; the pandemic and rent have the highest effect on the indices; The effects of the explanatory variables on housing prices do not change much from low to high levels, the COVID-19 pandemic and weighted average cost of funding have a decreasing effect on indices while other variables have an increasing effect in low quantiles; the pandemic and monetary policy indicators have a negative and significant effect in low quantiles whereas they are not effective in high quantiles; the results for RPPI, NRPPI and ORPPI are consistent and robust.Research limitations/implicationsThe results of the study emphasize the importance of the pandemic, rent, monetary policy indicators and interest rates on the indices, respectively. On the other hand, focusing solely on Turkey and excluding global variables is the main limitation of this study. Therefore, the authors encourage researchers to work on other emerging countries by considering global variables. Hence, future studies may extend this study.Practical implicationsThe COVID-19 pandemic and market variables are determined as influential variables on housing prices in Turkey whereas macroeconomic variables are not effective, which does not mean that macroeconomic variables can be fully ignored. Hence, the main priority should be on focusing on market variables by also considering the development in macroeconomic variables.Social implicationsEmerging countries can make housing prices stable and affordable, which will increase homeownership. Hence, they can benefit from stability in housing markets.Originality/valueThe QR method is performed for the first time to examine housing prices in Turkey at the country level according to the existing literature. The results obtained from the QR analysis and policy implications can also be used by other emerging countries that would like to increase homeownership to provide better living conditions to citizens by making housing prices stable and keeping them under control. Hence, countries can control housing prices and stimulate housing affordability for citizens.
Assuring enhanced privacy violation detection model for social networks
Authors: Altalbe Ali , Kateb Faris 
Published: October 2021

PurposeVirtually unlimited amounts of data collection by cybersecurity systems put people at risk of having their privacy violated. Social networks like Facebook on the Internet provide an overplus of knowledge concerning their users. Although users relish exchanging data online, only some data are meant to be interpreted by those who see value in it. It is now essential for online social network (OSN) to regulate the privacy of their users on the Internet. This paper aims to propose an efficient privacy violation detection model (EPVDM) for OSN.Design/methodology/approachIn recent months, the prominent position of both industry and academia has been dominated by privateness, its breaches and strategies to dodge privacy violations. Corporations around the world have become aware of the effects of violating privacy and its effect on them and other stakeholders. Once privacy violations are detected, they must be reported to those affected and it's supposed to be mandatory to make them to take the next action. Although there are different approaches to detecting breaches of privacy, most strategies do not have a functioning tool that can show the values of its subject heading. An EPVDM for Facebook, based on a deep neural network, is proposed in this research paper.FindingsThe main aim of EPVDM is to identify and avoid potential privacy breaches on Facebook in the future. Experimental analyses in comparison with major intrusion detection system (IDS) to detect privacy violation show that the proposed methodology is robust, precise and scalable. The chances of breaches or possibilities of privacy violations can be identified very accurately.Originality/valueAll the resultant is compared with well popular methodologies like adaboost (AB), decision tree (DT), linear regression (LR), random forest (RF) and support vector machine (SVM). It's been identified from the analysis that the proposed model outperformed the existing techniques in terms of accuracy (94%), precision (99.1%), recall (92.43%), f-score (95.43%) and violation detection rate (>98.5%).
The development trend and academic patent technology network of laser and optical technologies
Authors: Chang Shu-Hao 
Published: October 2021

Purpose
The application of laser and optical technologies in the industry is wide and extensive; the development and application of laser and optical technologies have become a promising research domain. However, most existing studies have focused on the technical aspects or the application aspects; these studies have not highlighted the technology distribution and application development of laser and optical technologies from the big picture. Additionally, the manner in which the research and development (R&D) results of universities correspond to the needs of enterprises and industry has become a topic of concern for the public. Therefore, this study aims to adopt the academic patents as the basis for analysis and to construct a laser and optical technology network.

Design/methodology/approach
Therefore, in the current study, the researchers have analyzed relevant academic patent technology networks, using academic patents of laser and optical technologies as a basis of analysis.

Findings
The study results indicated that the key technologies mainly lie in nanostructures, metal-working, material analysis and semiconductor devices. Additionally, these technologies are mainly applied in industries, such as optics, medical technology, pharmaceuticals, biotechnology and organic fine chemistry; this indicated that a large proportion of academia’s R&D outcomes are applied in these industries.

Originality/value
In this study, the researchers have constructed a technology network model to explore the technical development direction of laser and optical technologies; the results of the current study could serve as a reference for universities and industry for allocation of R&D resources.
Evaluating recovery strategies for the disruptions in liner shipping networks: a resilience approach
Authors: Wan Chengpeng , Tao Jiale , Yang Zaili , Zhang Di 
Published: October 2021

PurposeSince the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks (LSNs). The purpose of this paper is to establish a novel risk-based resilience framework to measure the effectiveness of different recovery strategies for the disruptions in LSNs in a quantitative manner.Design/methodology/approachBased on a resilience loss triangle model, an indicator of resilience–cost ratio is designed to measure the performance of LSNs during recovery. Four recovery strategies are proposed to test the rationality and feasibility of the developed indicator in aiding decision-making of LSNs from a resilience perspective.FindingsThe analysis results reveal that the superiorities of different recovery strategies vary depending on both the structures of LSNs and the specific requirements during recovery. Moreover, optimizing the sequence of ports being recovered will improve the overall recovery efficiency of the investigated LSN.Research limitations/implicationsAs an exploratory research trying to enrich the risk-based resilience evaluation of LSNs from a complex network perspective, only two attributes (e.g. port scare and economy) are considered at the current stage when estimating the time needed to fully recover the whole LSN. In future research, more attributes from the industry may be identified and incorporated into the proposed model to further extend its ability and application scopes.Practical implicationsThe findings will help to improve managerial understandings of recovery strategies to build more resilient LSNs. The proposed model has the capability to be tailored to tackle different types of risks in addition to the storm disaster condition.Originality/valueThe risk-based resilience framework and the resilience–cost ratio indicator are newly developed in this research. They can consider LSNs' structural resilience and the total costs that a recovery strategy needs to restore the whole system simultaneously.
Antecedents of professionals’ self-efficacy in professional service firms: effects of external source credibility and content quality
Authors: Cassia Fabio , Magno Francesca 
Published: October 2021

PurposeProfessional service firm (PSF) performance depends on the accumulation and application of specialist knowledge to find customised solutions to customer problems. However, available research has not examined whether knowledge acquired from external sources affects PSF outcomes by strengthening professionals’ beliefs rather than only by increasing technical competency. Drawing on self-efficacy theory, this study tests a model that links the quality of content acquired from external sources and the credibility of those sources to professionals’ self-efficacy and, in turn, to PSF outcomes (solution quality and firm performance). In particular, this paper aims to consider the case of professional content exchanged through professional social media.Design/methodology/approachA cross-sectional research design was applied. Data were collected from a sample of 208 accountants, auditors and lawyers who used professional social media and were analysed using covariance-based structural equation modelling.FindingsWhen accessing professional content from external sources, source credibility and content quality are significant antecedents of professionals’ self-efficacy, which, in turn, has positive effects on PSF outcomes (solution quality and PSF performance).Research limitations/implicationsSelf-efficacy plays a key role in the link between knowledge acquired from external sources (professional content) and PSF outcomes.Practical implicationsThis study provides recommendations and actionable insights for PSFs, professionals and other actors who create and exchange professional content. Professional associations may also take an active role by contributing and sharing credible and high-quality content, using, for example, professional social media.Originality/valueThis paper advances the current understanding of the effects of professionals’ access to content from external sources on PSF outcomes. It provides an explanation of these effects based on the enhancement of professionals’ beliefs instead of their technical competencies, as indicated in previous research. In addition, it is the first research effort to consider professional social media as a communication channel to exchange content that affects the self-efficacy of PSF professionals.
Flamenco experience in Córdoba, Spain: estimating tourist profiles by multilayer perceptron's artificial neural networks
Authors: García-García Lucía , Solano-Sanchez Miguel Ángel , Muñoz-Fernández Guzmán A. , Moral-Cuadra Salvador 
Published: October 2021

PurposeThis research aims to demonstrate the possible link between the sociodemographic profile of visitors motivated by the visit to flamenco shows and the city of Córdoba (Spain), and the preferences and sensations regarding these experiences.Design/methodology/approachThe methodology used (multilayer perceptron) is based on the development of an artificial neural network.FindingsThe results show that the variables age and educational level are determining factors in the profile of the visitor. Also, as the level of income increases, so does the interest in flamenco, a fact that can be useful to determine the target audience for this type of shows.Originality/valueFlamenco is an art that originated in the Andalusian region that arouses the interest of the visitor due to its music, way of singing and dance. Flamenco is a popular art that excites and awakens the senses of those who attend this dance, song and guitar show. Its recognition as Intangible Heritage of Humanity by United Nations Educational, Scientific and Cultural Organization (UNESCO) since 2010, makes it a tourist product that motivates visitors to travel to the city of Córdoba (Spain), being also one of flamenco's places of origin. Córdoba has this art in its tourist offer so that the identity of the city has two aspects: patrimonial and immaterial, among the flamenco highlighted.
An efficient hybrid tunicate swarm algorithm and radial basis function searching technique for maximum power point tracking in wind energy conversion system
Authors: Rajesh Paulthurai , Shajin Francis H. , Cherukupalli Kumar 
Published: October 2021

Purpose
The purpose of this paper is to track the maximal power of wind energy conversion system (WECS) and enhance the search capability for WECS maximum power point tracking (MPPT).

Design/methodology/approach
The hybrid technique is the combination of tunicate swarm algorithm (TSA) and radial basis function neural network.

Findings
TSA gets input parameters from the rectifier outputs such as rectifier direct current (DC) voltage, DC current and time. From the input parameters, it enhances the reduced fault power of rectifier and generates training data set based on the MPPT conditions. The training data set is used in radial basis function. During the execution time, it produces the rectifier reference DC side voltage that is converted to control pulses of inverter switches.

Originality/value
Finally, the proposed method is executed in MATLAB/Simulink site, and the performance is compared with different existing methods like particle swarm optimization algorithm and hill climb searching technique. Then the output illustrates the performance of the proposed method and confirms its capability to solve issues.
The coordination effect of B2B digital process capabilities on competitive performance: balancing or complementing
Authors: Zhu Zhen , Lin Shuaifu , Jiang Yi , Liu Qi 
Published: October 2021

PurposeThe purpose of this paper is to investigate the consequences of two strategies of coordinating the online procurement capability and the online channel management capability on competitive performance.Design/methodology/approachA research model is presented to examine the performance impacts of these two coordination strategies, namely the balancing strategy (achieving a close match relationship) and the complementing strategy (maintaining the synergy effect), and tested using firm-level data collected from 196 manufacturing firms in China. Garen's two-stage econometric technique was used to identify the impacts of two coordination strategies on competitive performance.FindingsOur study discusses and compares two different coordination strategies of mitigating the operational tensions across processes and deploying resource configurations for improving competitive performance. Our results show that while the balancing strategy can mitigate the risks resulted, the complementing strategy does not create synergistic effects on the focal firms' competitive performance.Originality/valueThe results extend our understanding of the nature of B2B digital process coordination both in IS management and supply chain operations.
Market discipline in the behavioral finance perspective: a case of Sharia mutual funds in Indonesia
Authors: Widyastuti Umi , Febrian Erie , Sutisna Sutisna , Fitrijanti Tettet 
Published: October 2021

PurposeThis study aims to determine antecedents of market discipline. A model was constructed by extending the theory of planned behavior (TPB) to explore the cognitive, psychological and social factors that influence the market discipline in the form of withdrawal behavior.Design/methodology/approachThis study applied a quantitative approach by surveying 181 Indonesian retail investors in Sharia mutual funds, which were represented by civil servants. The samples were collected using the purposive sampling technique. This study used the partial least square–structural equation model to analyze the data.FindingsThe results revealed that the Islamic financial literacy, the attitudes toward withdrawal, the subjective norms and the perceived behavioral control had a positive significant effect on the withdrawal intention, whereas financial risk tolerance had an insignificant impact. Then, all the exogenous variables and intention to withdraw had a significant contribution in explaining market discipline. Contrary to the proposed hypothesis, the attitude toward withdrawal had a negative impact on market discipline. The structural model indicated that the TPB could be extended by adding some exogenous variables (i.e. Islamic financial literacy and financial risk tolerance) in determining the intention to withdraw and withdrawal behavior, which indicated the market discipline in Sharia mutual funds.Research limitations/implicationsThis study was limited to individual investors who work as civil servants. This study did not accommodate different demographic factors such as age and gender, which influence fund withdrawal behavior.Practical implicationsThe government must focus on the inclusion of market discipline in Sharia mutual funds’ regulation to encourage the risk management disclosure, specifically that related to Sharia compliance.Originality/valuePrevious studies applied a traditional finance theory to predict market discipline, but this study contributes to filling the theoretical gap by explaining the market discipline from a behavioral finance perspective that was found in Sharia mutual funds.
The roots of “volunteer” employees’ engagement: The silent role of intellectual capital in knowledge-sharing intentions
Authors: Fait Monica , Cillo Valentina , Papa Armando , Meissner Dirk , Scorrano Paola 
Published: October 2021

PurposeThe main aim of this paper is to demonstrate that “volunteer” employees’ perception of dimensions of intellectual capital (IC) – human, structural and relation capital – creates a motivational environment to enhance knowledge-sharing intention (KSI) and stimulates “volunteer” employee engagement (VEE). The model is applied on the non-profit organizations (NPOs) sector that base their path on sharing values with volunteers and employees in relation to which they have to implement engagement strategies that are beneficial to both developing and deploying individual and organizational human capital.Design/methodology/approachTo verify the existence of relationships between the constructs of IC, KSI and VEE a partial least squares structural equation model on a sample of 300 “volunteer” employees of NPOs was tested to verify the research hypotheses, as this could explain the causal relationships.FindingsThe results confirm that KSI is positively and directly influenced by the favourable environment resulting from the motivations below the dimensions of IC. The improvement of KSI, determined by IC, has a positive effect on VEE.Research limitations/implicationsDespite the limitation created by the peculiarities of NPOs and the role of volunteers, this paper suggests a strategic approach that the management could implement to create an environment based on the exchange of knowledge and to increase engagement in the value co-creation process.Originality/valueThe ability of a company to adopt sharing strategies depends on the existence of an environment in which individuals are willing to exchange knowledge realizing mutual benefits. The work broadens this perspective by providing governance with a behavioural model that creates a direct relationship between IC, KSI and VEE.
Islamic banking and customer satisfaction in Pakistan: evidence from internal and external customers
Authors: Jawaid Syed Tehseen , Siddiqui Aamir Hussain , Kanwal Rabia , Fatima Hareem 
Published: October 2021

PurposeThis study aims to find the determinants of internal and external customer satisfaction of Islamic banks of Pakistan through service quality indicators that are assurance, reliance, empathy, tangibility, responsiveness. Compliance has also been added as a determinant of customer satisfaction. In this study, customers are divided into two groups, internal customers are those who are an employee in the Islamic bank and also an account holder. While external customers are account holders only in Islamic banks of Pakistan.Design/methodology/approachIn this study, a quantitative research approach is used for analyzing the behavior of internal and external customers of Islamic banks in Pakistan. The instrument which is used to analyze the study’s data, is a structured five-point Likert-scale questionnaire. The structural model was analyzed with the help of the partial least squares structural equation modeling approach.FindingsThis study concluded that internal customers of Islamic banking are well aware and have full information and their level of satisfaction is positive toward the bank’s services. While external customers feel satisfied while using the Islamic banking services in Pakistan. Service quality indicators are positively and significantly related to customer satisfaction in the external customer model. On the other hand, some of the indicators are not showing a significant impact on the internal customer multi-group analysis shows a difference of coefficients are insignificant between internal and external customers.Practical implicationsThis study helps policymakers, to understand the behavior of internal and external customers of Islamic banking in Pakistan for creating favorable policies for an interest-free banking service.Originality/valueThis research study provides an analysis of the customer satisfaction of Islamic banks in Pakistan by dividing Islamic bank customers into two groups (internal and external customers). The purpose for dividing Islamic bank customers into two groups is that this study wants to highlight that external customer’s perception is the same as internal customers or not? Before this study, it is difficult to find single research on this topic, whereas only one study is find-out on the factors that affect internet banking adoption among internal and external customers.