bluuebunny/crossref_metadata_2025_split huggingface dataset:
Levelling out differences in aerobic glycolysis neutralizes the competitive advantage of oncogenicPIK3CAmutant progenitors in the esophagus
Authors: Herms Albert , Colom Bartomeu , Piedrafita Gabriel , Murai Kasumi , Ong Swee Hoe , Fernandez-Antoran David , Bryant Christopher , Frezza Christian , Vanhaesebroeck Bart , Jones Philip H. 
Published: May 2021

SummaryNormal human tissues progressively accumulate cells carrying mutations. Activating mutations inPIK3CAgenerate large clones in the aging human esophagus, but the underlying cellular mechanisms are unclear. Here, we tracked mutantPIK3CAesophageal progenitor cells in transgenic mice by lineage tracing. Expression of an activating heterozygousPik3caH1047Rmutation in single progenitor cells tilts cell fate towards proliferation, generating mutant clones that outcompete their wild type neighbors. The mutation leads to increased aerobic glycolysis through the activation of Hif1α transcriptional targets compared with wild type cells. We found that interventions that level out the difference in activation of the PI3K/HIF1α/aerobic glycolysis axis between wild type and mutant cells attenuate the competitive advantage ofPik3caH1047Rmutant cellsin vitroandin vivo. Our results suggest that clinically feasible interventions that even out signaling imbalances between wild type and mutant cells may limit the expansion of oncogenic mutants in normal epithelia.
Location competitiveness in specific pioneering theories: a condensed overview
Authors: Lepori Damiano 
Published: May 2021

Purpose
The purpose of this study is to provide with a condensed overview of location competitiveness from the perspectives of specific pioneering theories to highlight the main factors, which lay the foundations for latter theories specifically dedicated to location-bound advantages, to specialization processes and, in fine, to location competitiveness.

Design/methodology/approach
The study is divided into five major sections. First, location competitiveness is tackled from Smith’s frame of reference in the theory of absolute advantages. Second, Ricardo’s comparative advantages are scrutinized and specific complementary findings to Smith are highlighted. Third, Marshall’s industrial districts are investigated, as they constitute the linchpin of numerous latter approaches on location competitiveness. Fourth, the Keynesian perspective is considered as far as the role of government on location competitiveness is concerned. Fifth, endogenous growth theories are considered as they relate to capital, innovation and knowledge, which are factors intrinsically associated with agglomeration patterns and to location competitiveness.

Findings
The main finding of this literature review suggests that pioneering theories also identify location competitiveness as having a fundamental influence on firms’ ability to prosper in terms of wealth creation and of competitive advantages and vice versa.

Originality/value
The originality of this study is to investigate seminal authors from the perspective of location competitiveness and to highlight how numerous later researches dedicated to the subject are indeed based on pioneering theories. On this basis, it is subsequently possible to capture location competitiveness and to implement relevant policy measures to improve economic prosperity.
Examining the relationship between e-government development, nation’s cyber-security commitment, business usage and economic prosperity: a cross-country analysis
Authors: Krishna Ben , M.P. Sebastian 
Published: May 2021

Purpose
This study aims to propose a model to examine the relationships between e-government development, cybersecurity commitment, business usage and economic prosperity of the country.

Design/methodology/approach
Structural equation modeling was used to analyze the country-level variables to explain the second-order impact of e-government development through the mediating role of cybersecurity commitment.

Findings
Findings suggest that e-government development demonstrated a stronger association with cybersecurity commitment and business usage. There is preliminary evidence that the improvement of cybersecurity measures initiated by e-government development will drive business usage and improve macroeconomic conditions.

Research limitations/implications
This paper has constructed a theoretical model and validated it using publicly available archival data. Further, this study hypothesizes and demonstrates empirically the direct, as well as indirect relationships between e-government development, cybersecurity commitment, business usage and economic prosperity. To summarize, the study unearths the role of a nation’s cybersecurity commitment and how it is associated with other macro parameters in a country.

Originality/value
As an initial step, the present study highlights the pivotal role of e-government and its positive influence on cybersecurity commitment at the country level. Further, this study also recognizes the role of cyber commitment to boost information communication and technology usage in business, the use of e-government services for the profitability of the business and effectively influence economic prosperity.
Multi-objective vendor managed inventory system with interval type-2 fuzzy demand and order quantities
Authors: Ashraf Zubair , Shahid Mohammad 
Published: May 2021

PurposeThe proposed IT2FMOVMI model intends to concurrently minimize total cost and warehouse space for the single vendor-retailer, multi-item and a consolidated vendor store. Regarding demand and order quantities with the deterministic and type-1 fuzzy numbers, we have also formulated the classic/crisp MOVMI model and type-1 fuzzy MOVMI (T1FMOVMI) model. The suggested solution technique can solve both crisp MOVMI and T1FMOVMI problems. By finding the optimal ordered quantities and backorder levels, the Pareto-fronts are constructed to form the solution sets for the three models.Design/methodology/approachA multi-objective vendor managed inventory (MOVMI) is the most recognized marketing and delivery technique for the service provider and the retail in the supply chain in Industry 4.0. Due to the evolving market conditions, the characteristics of the individual product, the delivery period and the manufacturing costs, the demand rate and order quantity of the MOVMI device are highly unpredictable. In such a scenario, a MOVMI system with a deterministic demand rate and order quantity cannot be designed to estimate the highly unforeseen cost of the problem. This paper introduces a novel interval type-2 fuzzy multi-objective vendor managed inventory (IT2FMOVMI) system, which uses interval type-2 fuzzy numbers (IT2FNs) to represent demand rate and order quantities. As the model is an NP-hard, the well-known meta-heuristic algorithm named NSGA-II (Non-dominated sorted genetic algorithm-II) with EKM (Enhanced Karnink-Mendel) algorithm based solution method has been established.FindingsThe experimental simulations for the five test problems that demonstrated distinct conditions are considered from the real-datasets of SAPCO company. Experimental study concludes that T1FMOVMI and crisp MOVMI schemes are outclassed by IT2FMOVMI model, offering more accurate Pareto-Fronts and efficiency measurement values.Originality/valueUsing fuzzy sets theory, a significant amount of work has been already done in past decades from various points of views to model the MOVMI. However, this is the very first attempt to introduce type-2 fuzzy modelling for the problem to address the realistic implementation of the imprecise parameters.
Is leverage a substitute or outcome for governance? Evidence from financial crises
Authors: Tekin Hasan , Polat Ali Yavuz 
Published: May 2021

PurposeThe authors investigate the impact of governance on the leverage of East Asian firms in the financial crisis context, in order to understand the puzzle whether debt acts as a substitute for governance or an outcome of the governance mechanism.Design/methodology/approachThe authors use 86,030 firm-years and the country-level governance data from eight East Asian countries over the period 1996–2017. The authors employ the fixed effects (FE) model, in the main analysis and the weighted least squares model, as a robustness check in order to compare the two competing hypotheses of agency theory, substitute and outcome models.FindingsThe authors’ results show that debt acts as a substitute for governance before the GFC, but during and after the GFC the picture changes. Namely, debt acts as an outcome of the governance mechanism during the GFC and its aftermath. Since during financial downturns both agency costs increase, and information asymmetry widens, firms in poor-governed countries may be reluctant to increase their leverage in order not to face financial distress and additional restrictions. Thus, the results imply that the use of debt as a tool to mitigate agency conflicts and a substitute for governance strongly depends on the environment that the firms operate and the general macroeconomic conditions, such as facing a financial crisis or not.Research limitations/implicationsThis study provides an interesting case of the firms' capacity to raise money during a crisis and that governance plays an important role in borrowing activities of firms. This will undoubtedly help motivating owners and policymakers for improving governance. The authors’ findings may be useful for policymakers to develop policies considering the adverse effects caused by exogenous shocks. This is crucial because the severity of GFC as a shock seems to change the macro and institutional environment that firms operate. While the authors properly address the research hypotheses using country governance data, future research may employ corporate governance data to attain firm-level results by testing two competing hypotheses.Originality/valueThere are several important areas where this study makes original contributions. First, while Tsoy and Heshmati (2019) focus on the dynamics of capital structure for only Korean firms, the authors extend the sample including eight East Asian countries considering the impact of country governance on capital structure policy. Specifically, this study is the first in using the robust country governance data, which differs by country and year, in the crisis context. Next, the authors investigate both the AFC and GFC to compare whether these two crises have different effects on capital structure policy of East Asian firms. Finally, the authors aim to understand whether leverage is used as a substitute for governance or an outcome of governance mechanism considering recessions.
A proposed maturity model to improve warehouse performance
Authors: Salhieh Loay , Alswaer Waed 
Published: May 2021

PurposeThe purpose of this paper is to propose a maturity model to improve warehouse performance.Design/methodology/approachThis paper will follow De Bruin et al’s (2005) suggested six relevant phases: scope, design, populate, test, deploy and maintain in developing the proposed maturity model. This study concentrates on the first five phases.FindingsThe proposed warehouse maturity model can be used as descriptive, benchmarking and a prescriptive with a road map for improvement.Practical implicationsThe warehouse maturity model was proposed to let warehouse managers evaluate their practices and assess them by maturity level. Then, the proposed warehouse maturity model can be utilized to develop a set of plans for conducting projects to improve the warehouse practices, techniques and tools.Originality/valueThe proposed warehouse maturity model contributes to fill the shortages of maturity model addressing the warehouse environment. In particular, it provides a useful tool to establish the overall maturity level of a warehouse system. The proposed maturity model supports strategic decisions oriented toward improvement capabilities of the warehouse and to compete based on service level provided.
Transfer mechanisms for lean implementation with OHS integration in the garment industry
Authors: Hamja Abu , Hasle Peter , Hansen David 
Published: May 2021

PurposeLean manufacturing has the potential for simultaneously improving the competitiveness and the social sustainability of the apparel industry in developing countries. However, there is limited research on the ways to a successful lean implementation in developing countries and with an emphasis on occupational health and safety (OHS) improvement.Design/methodology/approachThe paper investigates four cases of lean implementation in garment factories and uses the design science research strategy, building on the context-intervention-mechanism-outcome (CIMO) framework to identify explanatory mechanisms that can be used for designing future action.FindingsThe study identifies tangible mechanisms that can lead to successful lean implementation. The most important mechanisms relate to practical top management support, worker involvement, application of lean tools and training.Practical implicationsThe findings of this study can guide better lean implementation for the many garment factories in developing countries.Originality/valueWhile the lean literature provides general recommendations for lean implementation, knowledge about the transfer mechanisms in developing countries as well as the connections between lean and OHS is limited. This paper contributes to lean implementation theory and to the discourse of positive lean by integrating efficiency and working conditions. In addition, the paper identifies transfer mechanisms for lean implementation in the garment industry in a developing country.
Impact of basic psychological needs on organizational justice and helping behavior: a self-determination perspective
Authors: Chou Shih Yung , Nguyen Thuy , Ramser Charles , Chang Tree 
Published: May 2021

PurposeIntegrating the social exchange perspective of helping behavior with self-determination theory (SDT), this study seeks to examine the impact of employees' psychological needs on perceived organizational justice and the impact of perceived organizational justice on employees' helping behavior.Design/methodology/approachCross-sectional and cross-organizational data were obtained from 177 full-time employees employed in 12 small- and medium-sized oil and gas service companies. A partial least squares approach using SmartPLS was employed to test the hypotheses.FindingsResults illustrate that the psychological need for competence and need for autonomy are positively related to perceived distributive and procedural justice, respectively. Moreover, perceived distributive and procedural justice are related to helping behavior. Furthermore, perceived distributive justice fully mediates the relationship between the psychological need for competence and helping behavior, whereas perceived procedural justice partially mediates the relationship between the psychological need for autonomy and helping behavior.Originality/valueFrom a theoretical standpoint, this study offers some theoretical explanations for how the basic psychological needs identified by SDT activate employees' perceived organizational justice. Practically, this study offers several managerial recommendations that help managers manage helping behavior in the organization effectively.
Overcoming the business model transformation dilemma: exploring market shaping and stabilizing strategies in incumbent firms
Authors: Carlborg Per Johan , Hasche Nina , Kask Johan 
Published: May 2021

Purpose
The purpose of this paper is to extend the knowledge on business model transformation (BMT) by developing an integrative framework for BMT dilemmas, including strategies for shaping and stabilizing market structures.

Design/methodology/approach
The study uses a case-based approach, with data from the Swedish electric utility industry.

Findings
The findings uncover practices related to both shaping and stabilizing market structure. The study contributes with insights for firms to overcome the BMT dilemma. Shaping strategies involve disruptive innovations while stabilizing strategies concerns incremental improvements in existing structures; by balancing these efforts, firms can find ways toward successful BMT.

Originality/value
With a focus on incumbent firms and the balancing act of BMT in a network, the study covers areas that have scarcely been addressed in the existing literature. Even though most business model literature has focused on shaping consumer markets, the need to consider BMT as a dual-directional process in an industrial context is emphasized in this study.
Opportunity knocks? Parking regulations and automotive thefts in the age of coronavirus
Authors: Hasnah George 
Published: May 2021

PurposeThis paper aims to explore the relationship between adjustments in parking regulations in major American cities in response to the 2019 novel coronavirus and vehicle thefts.Design/methodology/approachVehicle theft data from the 25 most populous American cities were collected between 2019 and 2020. Information was also collected on the type, severity and number of changes to parking enforcement regulations made in March and April 2020 in response to the outbreak of the coronavirus in the USA.FindingsThis analysis shows that the relaxation of parking regulations is associated with a significant increase in the number of vehicle thefts in major metropolitan areas.Research limitations/implicationsAlthough this research cannot prove a cause and effect relationship, statistical analysis of the data shows that policy change and vehicle thefts are related variables.Practical implicationsGuide for future policies-increase awareness; promote safety; promote accountability.Originality/valueThe comparison of increased vehicle thefts to parking enforcement policies; to policymakers, the general public.
Prediction of credit risk with an ensemble model: a correlation-based classifier selection approach
Authors: Xiong Zhibin , Huang Jun 
Published: May 2021

Purpose
Ensemble models that combine multiple base classifiers have been widely used to improve prediction performance in credit risk evaluation. However, an arbitrary selection of base classifiers is problematic. The purpose of this paper is to develop a framework for selecting base classifiers to improve the overall classification performance of an ensemble model.

Design/methodology/approach
In this study, selecting base classifiers is treated as a feature selection problem, where the output from a base classifier can be considered a feature. The proposed correlation-based classifier selection using the maximum information coefficient (MIC-CCS), a correlation-based classifier selection under the maximum information coefficient method, selects the features (classifiers) using nonlinear optimization programming, which seeks to optimize the relationship between the accuracy and diversity of base classifiers, based on MIC.

Findings
The empirical results show that ensemble models perform better than stand-alone ones, whereas the ensemble model based on MIC-CCS outperforms the ensemble models with unselected base classifiers and other ensemble models based on traditional forward and backward selection methods. Additionally, the classification performance of the ensemble model in which correlation is measured with MIC is better than that measured with the Pearson correlation coefficient.

Research limitations/implications
The study provides an alternate solution to effectively select base classifiers that are significantly different, so that they can provide complementary information and, as these selected classifiers have good predictive capabilities, the classification performance of the ensemble model is improved.

Originality/value
This paper introduces MIC to the correlation-based selection process to better capture nonlinear and nonfunctional relationships in a complex credit data structure and construct a novel nonlinear programming model for base classifiers selection that has not been used in other studies.
The effects of individual differentiation on newcomer group identification
Authors: Chen Jenny , Cooper-Thomas Helena D. 
Published: May 2021

PurposeWith organizations hiring from increasingly diverse labor markets, this study aims to examine the implications of newcomers’ individual differentiation for their group identification. The paper proposes and tests a self-verification process in which individual differentiation predicts group identification through role innovation under positive social feedback on innovation (moderated mediation). Simultaneously, a self-categorization pathway is examined of the indirect negative influence of individual differentiation on group identification through role modeling (mediation).Design/methodology/approachSurvey data were collected at three time points from 161 UK university alumni.FindingsThe analyses support a self-verification pathway: newcomers with high individual differentiation report higher group identification via role innovation only when they receive positive feedback on their innovative actions. However, there was no support for a self-categorization pathway, with no indirect relationship found between individual differentiation and group identification via role modeling.Practical implicationsHR practitioners and managers who are responsible for helping newcomers adjust should consider newcomers’ individual differentiation. Specifically, newcomers with high individual differentiation may more successfully navigate their transition and identify with their workgroup when given appropriate support, such as positive social feedback on their innovative actions.Originality/valueThe study extends organizational socialization research by focusing on when newcomers with high individual differentiation may experience group identification. The findings highlight the important role of positive social feedback on group identification; this suggests a potential means by which newcomers with high individual differentiation can settle successfully.
Knowledge management visualisation in regional innovation system collaborative decision-making
Authors: Weck Marina , Humala Iris , Tamminen Pia , Ferreira Fernando A.F. 
Published: May 2021

PurposeThis study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).Design/methodology/approachUsing a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).FindingsThe study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.Practical implicationsThe panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.Originality/valueThe combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.