bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applying data mining algorithms to real estate appraisals: a comparative study
Authors: Oliveira Thiago Cesar de , Medeiros Lúcio de , Detzel Daniel Henrique Marco 
Published: February 2021

PurposeReal estate appraisals are becoming an increasingly important means of backing up financial operations based on the values of these kinds of assets. However, in very large databases, there is a reduction in the predictive capacity when traditional methods, such as multiple linear regression (MLR), are used. This paper aims to determine whether in these cases the application of data mining algorithms can achieve superior statistical results. First, real estate appraisal databases from five towns and cities in the State of Paraná, Brazil, were obtained from Caixa Econômica Federal bank.Design/methodology/approachAfter initial validations, additional databases were generated with both real, transformed and nominal values, in clean and raw data. Each was assisted by the application of a wide range of data mining algorithms (multilayer perceptron, support vector regression, K-star, M5Rules and random forest), either isolated or combined (regression by discretization – logistic, bagging and stacking), with the use of 10-fold cross-validation in Weka software.FindingsThe results showed more varied incremental statistical results with the use of algorithms than those obtained by MLR, especially when combined algorithms were used. The largest increments were obtained in databases with a large amount of data and in those where minor initial data cleaning was carried out. The paper also conducts a further analysis, including an algorithmic ranking based on the number of significant results obtained.Originality/valueThe authors did not find similar studies or research studies conducted in Brazil.
The external impacts of historic landmarks and buildings on townhouse prices in Vietnam
Authors: Nguyen Doan , Nguyen Thu Hong Thi 
Published: February 2021

Purpose
This paper aims to explore the external spillover effects of landmarks and buildings with historic preservation designation in Vietnam, a country marked with a unique property right regime and market transparency. The study contributes to the existing debate over the impact of distance to historic preservation sites and landmarks and property prices.

Design/methodology/approach
The study examines property data of 274 attached townhouses in Ho Chi Minh City, Vietnam and estimates the spillover effects of historic preservation on property prices collected during 2018–2019. The authors test for spatial autocorrelation by using the Global Moran’s I and Lagrange Multiplier diagnostics and deploy different spatial regression models including SAR, SEM and SDM.

Findings
The authors find that there is a premium on the prices of townhouses near formally designated landmarks and buildings. This premium decreases monotonically away from the historic sites. However, this paper also demonstrates that there is a non-linear (U-shape) relationship between housing premium and the distance to the nearest historic building.

Originality/value
This study is the first to take advantage of the surveyed property data to study the external impacts of historic preservation designation on housing prices in Vietnam. The study also contributes to the ongoing scholarly debate over the direction of the impacts. The study suggests that similar to other amenities, the price effect of designation tends to fade away after a certain distance.
House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan
Authors: Aliefendioğlu Yeşim , Tanrivermis Harun , Salami Monsurat Ayojimi 
Published: February 2021

Purpose
This paper aims to investigate asymmetric pricing behaviour and impact of coronavirus (Covid-19) pandemic shocks on house price index (HPI) of Turkey and Kazakhstan.

Design/methodology/approach
Monthly HPIs and consumer price index (CPI) data ranges from 2010M1 to 2020M5 are used. This study uses a nonlinear autoregressive distributed lag model for empirical analysis.

Findings
The findings of this study reveal that the Covid-19 pandemic exerted both long-run and short-run asymmetric relationship on HPI of Turkey while in Kazakhstan, the long-run impact of Covid-19 pandemic shock is symmetrical long-run positive effect is similar in both HPI markets.

Research limitations/implications
The main limitations of this study are the study scope and data set due to data constraint. Several other macroeconomic variables may affect housing prices; however, variables used in this study satisfy the focus of this study in the presence of data constraint. HPI and CPI variables were made available on monthly basis for a considerably longer period which guaranteed the ranges of data set used in this study.

Practical implications
Despite the limitation, this study provides necessary information for authorities and prospective investors in HPI to make a sound investment decision.

Originality/value
This is the first study that rigorously and simultaneously examines the pricing behaviour of Turkey and Kazakhstan HPIs in relation to the Covid-19 pandemic shocks at the regional level. HPI of Kazakhstan is recognized in the global real estate transparency index but the study is rare. The study contributes to regional studies on housing price by bridging this gap in the real estate literature.
Limit your body area -a COVID-19 mass radicalisation challenging autonomy and basic human rights
Authors: Glasdam Stinne , Stjernswärd Sigrid 
Published: February 2021

Purpose
This paper aims to explore articulations of how individuals internalise official demands on handling COVID-19 and the function of social media in this process, and further to discuss this from a human rights’ perspective.

Design/methodology/approach
A thematic analysis of qualitative data from an international survey on COVID-19 and social media. The analysis was inspired by Berger and Luckmann's theory of reality as a social construction.

Findings
Articulations expressed an instant internalisation and externalisation of the officially defined “new normal”. However, negotiations of this “new normal” were articulated, whereby everyday life activities could proceed. Resistance to the “new normal” appeared, as routines and common sense understandings of everyday life were threatened. Health-care professionals were put in a paradoxical situation, living in accordance with the “new normal” outside work and legitimately deviating from it at work. The “new normal” calls for individuals’ “oughtonomy” rather than autonomy. Social media were used to push individual’s re-socialisation into the “new normal”. The latter both promoted and challenged human rights as the individual's right to self-determination extends beyond the self as it risks threatening other people's right to life.

Originality/value
With the means of a theoretically based thematic analysis inspired by Berger and Luckmann, the current study shows how articulations on COVID-19 and social media can both support and challenge human rights and reality as a facticity as dictated by dominant organisations and discourses in society.
Cultural diversity drives innovation: modeling in the global pharmaceutical industry
Authors: Jones Graham , Chirino Chace Bernardita , Wright Justin 
Published: February 2021

Purpose
The innovative capacity of an organization is typically realized through unit-level teams. Previous studies correlate innovation performance with cultural diversity of teams, but note that team dynamics need to be optimized to derive maximum benefit. Herein, this study offers an assessment of available team building instruments through the lens of diverse innovation teams. In a demonstration project in the pharmaceutical industry, this study then outlines specific tools and approaches which can be successfully deployed through team coaching and mentoring.

Design/methodology/approach
A cluster of nine innovation teams with varying degrees of cultural diversity was provided with assessment and management instruments which had been identified and field tested by a mentoring team. Content included cultural awareness tools, innovation team profiling methods and Team Science (SciTS) ideology. Teams were funded, coached and mentored through a six-month performance period and assessed at regular intervals.

Findings
Team assessments provided correlations between performance (measured by project completion and new intellectual property generated) and diversity together with wealth of information on intra-team culture and dynamics. Concrete recommendations from the study include adoption of appropriate communication standards to promote inclusivity, use of SciTS operational tracking metrics to enhance engagement, use of the FourSight group profiling methodology and cultural quotient scale cultural awareness instruments at team-forming stage to promote effective dynamics and enhance inclusivity.

Practical implications
Cultural diversity has a positive impact on innovation teams. This said, for maximum benefit cultural awareness of team members should be optimized to avoid unintended conflicts developing. Such issues can be exacerbated when teams are deployed remotely and preventative measures should be established. These issues became of heightened significance as a result of telecommuting imposed by the COVID-19 pandemic and have longer-term implications, as corporations consider global air travel reduction through environmental concerns. A tracking tool is described to monitor team engagement and promote inclusivity. It is expected that the learnings can influence how teams can best form, normalize and operate within corporate innovation programs and form the basis of long-term impact studies.

Originality/value
This represents the first systematic study on the impact of cultural diversity and team dynamics within innovation programs in the pharmaceutical industry. The tools and methodologies deployed are widely available and can be adopted by innovation teams in many adjacent industries with established innovation ecosystems.
From entrepreneurial education to entrepreneurial intention: a sequential mediation of self-efficacy and entrepreneurial attitude
Authors: Yousaf Usman , Ali Syed Ahmad , Ahmed Muhammad , Usman Bushra , Sameer Izba 
Published: February 2021

Purpose
Does entrepreneurship education (EE) really enhance participants’ self-efficacy and influence their attitudes towards starting new business? How does this attitudinal influence relate to participants’ entrepreneurial intention (EI)? Researchers and entrepreneurs alike have been probing into these questions with a view to capacitate the need of EE. This study aims to understand and operationalize a framework for entrepreneurship development by measuring participants’ intention towards entrepreneurship.

Design/methodology/approach
The study proposed a sequential mediation framework to examine the impact of EE on EI mediated by self-efficacy and attitude towards starting new business. Testing the hypotheses on data collected from 380 individuals, the study provided differentiated support for the theoretical propositions.

Findings
The findings of the study reflect that EE, self-efficacy and attitude towards starting new business contribute in establishing EI of audience. It was concluded that a sequential mediation exists between EE and EI by channelizing through entrepreneurs’ self-efficacy level that transforms an attitude towards starting a new business venture.

Research limitations/implications
The study has both theoretical and practical implications that will enable academicians, managers and practitioners to facilitate entrepreneurship by enhancing their knowledge database, skillset and developing a positive and constructive attitude among potential entrepreneurs.

Originality/value
The study inculcates a cultural lens and differentiates Pakistani context with other developing countries in Asia.
Potentials of blockchain technologies for supply chain collaboration: a conceptual framework
Authors: Rejeb Abderahman , Keogh John G. , Simske Steven J. , Stafford Thomas , Treiblmaier Horst 
Published: February 2021

PurposeThe purpose of this study is to investigate the potentials of blockchain technologies (BC) for supply chain collaboration (SCC).Design/methodology/approachBuilding on a narrative literature review and analysis of seminal SCC research, BC characteristics are integrated into a conceptual framework consisting of seven key dimensions: information sharing, resource sharing, decision synchronization, goal congruence, incentive alignment, collaborative communication and joint knowledge creation. The relevance of each category is briefly assessed.FindingsBC technologies can impact collaboration between transaction partners in modern supply chains (SCs) by streamlining information sharing processes, by supporting decision and reward models and by strengthening communicative relationships with SC partners. BC promises important future capabilities in SCs by facilitating auditability, improving accountability, enhancing data and information transparency and improving trust in B2B relationships. The technology also promises to strengthen collaboration and to overcome vulnerabilities related to moral hazard and shortcomings found in legacy technologies.Research limitations/implicationsThe paper is mainly focused on the potentials of BC technologies on SCC as envisioned in the current academic literature. Hence, there is a need to validate the theoretical inferences with other approaches such as expert interviews and empirical tests. This study is of use to practitioners and decision-makers seeking to engage in BC-collaborative SC models.Originality/valueThe value of this paper lies in its call for an increased focus on the possibilities of BC technologies to support SCC. This study also contributes to the literature by filling the knowledge gap of how BC potentially impacts SC management.
The impact of buyer–supplier interaction on ambidextrous innovation and business performance: the moderating role of competitive environment
Authors: Wang Yu , Sun Hongyi , Jia Tao , Chen Jinliang 
Published: February 2021

PurposeThis study is based on knowledge-based view to examine the relationships among buyer–supplier interaction, ambidextrous innovation and business performance. It includes competitive intensity and dysfunctional competition to clarify boundary conditions.Design/methodology/approachThe ordinary least squares regression was conducted to test hypotheses. The survey data were collected from 182 Hong Kong manufacturing firms.FindingsBuyer–supplier interaction facilitates ambidextrous innovation, namely exploitative innovation and exploratory innovation. In turn, exploitative innovation enhances business performance, whereas exploratory innovation has no influence on business performance. Competitive intensity strengthens while dysfunctional competition weakens the impact of buyer–supplier interaction on ambidextrous innovation.Research limitations/implicationsThis study is based on the knowing processes of knowledge-based view. It contends that business performance is derived from ambidextrous innovation, which depends on the utilization of acquired supplier knowledge and the influence of external competitive environment. The test of relationships is constrained by the single-source and cross-sectional data.Practical implicationsFirms should engage in buyer–supplier interaction to acquire and utilize supplier knowledge. Meanwhile, they should monitor competitive environment to seize opportunities and avoid threats.Originality/valueThis study builds a holistic framework for buyer–supplier interaction, which reconciles the mixed arguments by distinguishing its effects on ambidextrous innovation, and by clarifying boundary conditions in terms of competitive intensity and dysfunctional competition.
Exploring the knowledge development trajectories of the supply chain finance domain: a main path analysis
Authors: Yu Dejian , Sheng Libo 
Published: February 2021

PurposeSupply chain finance (SCF), which is able to manage financial flows along the supply chains effectively, has received wide attention from all over the world. Faced with the increasing number of outputs, the purpose of this paper is to investigate the SCF development over the past decades effectively, including the hot topics, knowledge diffusion trajectories and structure.Design/methodology/approachThis paper adopts the keyword co-occurrence cluster and main path analysis (MPA) including four types of main paths, studying the historical development of SCF based on 2,233 papers retrieved from Web of Science during 1970–2019.FindingsThe results show that: (1) the research focuses on several aspects, including trade credit, supply chain management, procurement, health financing and sustainability, etc. and (2) trade credit financing has been the mainstream and the research focus has shifted from one-level trade credit to two-level trade credit. Recently, there is a trend to use game-theoretic models to find the best solutions for members in the supply chain.Originality/valueThis paper addresses the need to investigate the knowledge evolution in the SCF domain. It provides a framework to study the knowledge diffusion trajectories and structure, which helps scholars to handle thousands of papers effectively and deepen their understanding of the history, present and future trends of SCF development.
Lean healthcare implications in an occupational medicine clinic
Authors: Rocha Ítalo José Andrade , Vasconcelos Cleiton Rodrigues de 
Published: February 2021

PurposeThe increase in demand for health services requires companies in the segment to seek management tools and techniques that focus on reducing waste such as waiting, unnecessary displacement and low people productivity. The purpose of this paper is to present the value stream mapping (VSM) of patients at an occupational medicine clinic, proposing a new scenario with the aid of the simulation of discrete events to reduce the total waiting time during the patient's journey.Design/methodology/approachThe methodology consisted of a case study developed in an occupational health clinic, involving the analysis of the patients' arrival times, time of attendance, number of employees and their functions. Data collection considered 100 random samples from the patients' arrival interval and 40 random samples for each of the operational processes performed by the clinic in a work shift. The collected data served as input for the simulation of scenarios and prioritization of the times for the proposal of the future VSM.FindingsWith the study it was possible to propose the reduction of time wasted in the patient's journey, mainly the waiting times (37.92%) and the lead time (29.86%), making it possible for the patient to go through the entire process without waiting for queues. In addition, the increase in employee productivity and efficiency in patient care during the work shift is considered.Research limitations/implicationsDespite the considerable gains obtained with the realization of this study in relation to the processing times, total waiting time and lead time, the analysis was not considered, the mode of execution of the processes performed by the professionals and the influence of the layout to improve the flow of patients, being some of the challenges for future studies to consolidate lean culture in the health segment.Practical implicationsThe simulation of discrete events indicated that it is possible to attend a larger number of patients with the same professional structure, in case the delay in the arrival time of doctors and speech therapists is resolved. There was a reduction in the average total waiting time of 37.92%, a reduction in lead time to 29.86% and identification of the steps that most contributed to the increase in queues for patients in a 05:30 min work shift.Originality/valueThe work proposed the constitution of a VSM based on a discrete simulation with data from the entire health unit system, considering everything from the reception for patient registration, collection of laboratory and image exams to medical assistance. The work differs from the others in that it considers the patient's entire journey in the occupational medicine clinic, instead of prioritizing only one service department. The analysis of the results considered the scenario that presented the maximum efficiency of the available resources, respecting the patient's individualized care times, which is one of the complaints of the therapeutic teams to the use of standardization by the VSM.
Modern divulge in production optimization: an implementation framework of LARG manufacturing with Industry 4.0
Authors: Amjad Muhammad Saad , Rafique Muhammad Zeeshan , Khan Mohammad Aamir 
Published: February 2021

Purpose
In the modern manufacturing environment, it is imperative to apply the manufacturing concepts of lean, agile, resilient and green, collectively known as LARG manufacturing, to achieve excellence in which lean manufacturing eliminates wastes; agile manufacturing makes processes fast, efficient and flexible; resilient paradigm deals with countering the uncertainty while green manufacturing improves environmental performance. The objective of this study is to develop an integration framework that synergizes LARG manufacturing with Industry 4.0.

Design/methodology/approach
Through a literature review, the authors have explored the possibility of collaboration between constituents of lean, agile, resilient and green manufacturing with the facets of Industry 4.0.

Findings
The authors have developed a comprehensive integration framework that has been divided into 11 phases and 31 steps in which the various Industry 4.0 facets have supplemented the lean, agile, resilient and green paradigms.

Practical implications
This investigation and adoption of technologically intensive automation shall provide clarity to practitioners regarding the synergy of LARG manufacturing & Industry 4.0, so that fast and efficient manufacturing processes can be achieved.

Originality/value
The framework provides detailed insight towards implementation of LARG practices in a manufacturing organization in coalescence with Industry 4.0 practices.
MNE’s sustainability strategies in emerging and developing markets
Authors: Garri Myropi 
Published: February 2021

PurposeNowadays, companies abandon their traditional rent-gaining strategies. They pursue triple bottom-line results by implementing economic, environmental and social sustainability strategies. This paper aims to link the main sustainability strategies of multinational enterprises (MNEs) in emerging and developing markets (EDMs) to the strategic, industrial, market and institutional antecedents of sustainability development.Design/methodology/approachPositivism and a deductive research approach are used to test propositions through a multiple case study strategy, to identify the sustainability strategies of five MNEs belonging in five different industries, and the antecedents of these strategies.FindingsStrategic leadership and strategic behavior/orientation are among the most important antecedents of sustainability strategies development in EDMs. The sustainability strategies are partially industry specific. However, all companies had undertaken activities that go beyond the mitigation of their negative impact, acting as regulators of the EDMs.Originality/valuePrevious literature has explained sustainability as an attempt of the MNEs to cover institutional voids and the absence/failings of the state. This paper contributes to the exploration of sustainability strategies of MNEs in EDMs, by identifying the strategic and market influences driving sustainability and by linking this strategic behavior to industrial and institutional idiosyncrasies.