bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computation of sales performance score and key cross-functional factors: a performance dynamics in IT/ITES
Authors: Saha Sumit , Kar Subhasree 
Published: March 2021

PurposeThe purpose of this research is to identify the cross-functional factors and their impact after exploratory factor analysis (EFA), especially in B2B context and constructing a model to interpret and quantify the influences (sales performance score) specifically to the IT/ITES companies.Design/methodology/approachGetting answer for a corporate that where its current stand in the industry is important for the strategy making, especially for the sales team. Few academic researches charted direction toward cross-functional sales factors, but getting answer whether we can quantify that sales performance and identify what is the numeric benchmark value, is difficult. For the companies to understand the need to focus on which cross-functional factors and when, is also difficult.FindingsAfter 1,079+ literature study, concluded with the 25 antecedents strongly used in previous studies and 8 more on after focused group study, pilot study and discussion with the industry leaders, 35 questions addressing 33 indicators collected in 10 months duration from 310 sales professionals, 90+ IT companies. Three samples were removed as outliers using “Mahalanobis Distance Test” for multivariate analysis, dropped two variables by “Missing value Not at Random” (MNAR). Final 15 determinants of cross-functional sales performance indicators forming four best factors with very high reliability after EFA to form a future formative model and sales performance score.Research limitations/implications(1) In this study no moderator and mediator effect are analyzed. (2) This study is the precursor to the final model construction. (3) Business down due to recession, global pandemic, terrorism, earthquake, war etc. are not considered during this analysis and study. Only the cross-functional reasons for natural business down have been considered and analyzed. (4) Exact “Sales Performance Score (SPS)” should be calculated after model forming, adjusting and confirmatory factor analysis.Practical implications(1) The major implication of this study would be for IT/ITES companies. It will be very easy for them to quantify the sales performance and measure that scientifically. (2) There will be a way to measure, predict and take measurable actions in case sales performance of the company downfalls. (3) Also the impact will be known to the top management of the company well in advance so that they can make the proper strategy. This will be very useful in current situation when measuring business outcome and make strategy well in advance is of any company's utmost priority.Originality/valueFocusing on these identified factors companies can improve its sales performance. The authors contribute in creating a statistical model and computing a sales performance score, based on the final factor loading values, would be unique and unprecedented to measure the current industry performance by quantifying its standard or benchmark value for better strategic support toward the achievement of targets.
The mediation effects of team information processing on new product development success: revising the role of innovation orientation and team unlearning
Authors: Amaya Adriana Andrea , Wu Wann-Yih , Liao Ying-Kai 
Published: March 2021

PurposeAlthough previous studies noted the importance for organizations in establishing an innovation strategy, few have examined innovation orientation as a multidimensional knowledge configuration. Therefore, this study draws on the valuable theoretical underpinnings of the resource-based view and information processing theory to examine the mechanism through which an organization's innovation orientation (IO) and team unlearning (TU) can impact new product development (NPD) success.Design/methodology/approachA causal model was developed in order to analyze the role of innovation orientation and team unlearning on NPD success. This proposed model and several hypotheses were gauged using data from 255 NPD team members from Taiwanese high-tech and traditional companies.FindingsThe results indicate that both IO and TU relate to outcomes. Specifically, this study demonstrates that it is insufficient that firms simply establish the configurations needed to enhance their IO and TU, firms also need to find out the correct mechanism to enhance NPD success. The relationships between IO, TU and NPD success were fully mediated by team information processing.Originality/valueThis report sheds light on the importance of innovation orientation and team unlearning in today's NPD process and uncovers the underlying mechanism through which IO and TU contribute to NPD success. It also offers precise advice for the assessment of management of team information-processing to boost the performance of new products.
Adoption of green innovations by SMEs: an investigation about the influence of stakeholders
Authors: Thomas Antonio , Scandurra Giuseppe , Carfora Alfonso 
Published: March 2021

PurposePursuing sustainable development has become a necessity for all types of businesses, owing to the increasing sensitivity of stakeholders towards pollution and environmental degradation related to economic activities. To sustain this approach, investments supporting green innovations (GIs) are required. The paper investigates how stakeholders affect the choices of companies to pursue sustainable development objectives through the use of GIs.Design/methodology/approachA sample of 222 innovative Italian SMEs was collected and analysed using the partial least squares structural equation modelling technique and the importance performance map analysis.FindingsThe authors found that the stakeholders with not-contractual ties with SMEs affect GIs. Among stakeholders with not-contractual ties only workforce represents a strong stimulus to eco-innovate. Anyway, contrary to expectations, public administrations exert a negative influence; that is, they appear to hinder SMEs approach towards GIs.Practical implicationsThis paper contributes to filling the knowledge gaps about the factors stimulating innovative SMEs' investments in GIs. Specifically, by analysing the stakeholders' influences, many policy indications emerge, such as extending facilities and regulations, encouraging partnerships and networking and attracting private and institutional investors.Originality/valueUntil now, the prominent interest of researchers and policymakers has been focused almost exclusively on large manufacturing corporations because of their higher ecological footprints and the belief that SMEs are supposed to be mainly followers rather than first adopters of innovations. But in many international areas, the role of SMEs is widely predominant, and these SMEs chiefly operate in the service sectors.
Learning preference: development in smart learning environments
Authors: Zhang Lizhao , Du Xu , Hung Jui-Long , Li Hao 
Published: March 2021

PurposeThe purpose of this study is to conduct a systematic review to understand state-of-art research related to learning preferences from the aspects of impacts, influential factors and evaluation methods.Design/methodology/approachThis paper uses the systematic synthesis method to provide state-of-the-art knowledge on learning preference research by summarizing published studies in major databases and attempting to aggregate and reconcile the scientific results from the individual studies. The findings summarize aggregated research efforts and improve the quality of future research.FindingsAfter analyzing existing literature, this study proposed three possible research directions in the future. First, researchers might focus on how to use the real-time tracking mechanism to further understand other impacts of learning preferences within the learning environments. Second, existing studies mainly focused on the influence of singular factors on learning preferences. The joint effects of multiple factors should be an important topic for future research. Finally, integrated algorithms might become the most popular evaluation method of learning preference in the era of smart learning environments.Research limitations/implicationsThis review used the search results generated by Google Scholar and Web of Science databases. There might be published papers available in other databases that have not been taken into account.Originality/valueThe research summarizes the state-of-art research related to learning preferences. This paper is one of the first to discuss the development of learning preference research in smart learning environments.
Multicomponent stress-strength reliability estimation based on unit generalized Rayleigh distribution
Authors: Jha Mayank Kumar , Tripathi Yogesh Mani , Dey Sanku 
Published: March 2021

PurposeThe purpose of this article is to derive inference for multicomponent reliability where stress-strength variables follow unit generalized Rayleigh (GR) distributions with common scale parameter.Design/methodology/approachThe authors derive inference for the unknown parametric function using classical and Bayesian approaches. In sequel, (weighted) least square (LS) and maximum product of spacing methods are used to estimate the reliability. Bootstrapping is also considered for this purpose. Bayesian inference is derived under gamma prior distributions. In consequence credible intervals are constructed. For the known common scale, unbiased estimator is obtained and is compared with the corresponding exact Bayes estimate.FindingsDifferent point and interval estimators of the reliability are examined using Monte Carlo simulations for different sample sizes. In summary, the authors observe that Bayes estimators obtained using gamma prior distributions perform well compared to the other studied estimators. The average length (AL) of highest posterior density (HPD) interval remains shorter than other proposed intervals. Further coverage probabilities of all the intervals are reasonably satisfactory. A data analysis is also presented in support of studied estimation methods. It is noted that proposed methods work good for the considered estimation problem.Originality/valueIn the literature various probability distributions which are often analyzed in life test studies are mostly unbounded in nature, that is, their support of positive probabilities lie in infinite interval. This class of distributions includes generalized exponential, Burr family, gamma, lognormal and Weibull models, among others. In many situations the authors need to analyze data which lie in bounded interval like average height of individual, survival time from a disease, income per-capita etc. Thus use of probability models with support on finite intervals becomes inevitable. The authors have investigated stress-strength reliability based on unit GR distribution. Useful comments are obtained based on the numerical study.
Determinants of earnings management in Spanish SMEs and its relationship with CSR: the relevance of sector life cycle stage
Authors: Martinez-Martinez Domingo , Andrades Javier , Larrán Manuel , Muriel María José , Lechuga Sancho María Paula 
Published: March 2021

PurposeThis paper addresses the link between earnings management (EM) and corporate social responsibility (CSR) in small and medium-sized enterprises (SMEs).Design/methodology/approachData were collected from 317 Spanish SMEs to perform: (1) bivariate analysis between EM, CSR and some firm-factors (i.e. size, sector, sector life cycle stage, corporate age, family ownership, profitability and financial risk); and (2) multiple regression analysis for a better understanding of EM behavior and test the influence of sector life cycle stage variable.FindingsResults emphasize the relevance of the sector life cycle stage as an explanatory factor. Firms operating in sectors that are growing or declining in terms of sales are more proactive to EM than those with consolidated sales levels. Stratified regression analysis also confirms that the stage of the industry life cycle influences the EM-CSR relationship. Only for SMEs with stable sales in maturity sectors, lower interest in EM can be significantly explained by higher CSR performance. Firms with regular sales levels show a more outstanding socially responsible commitment and are less pressured to legitimize their operational decisions and therefore show lower levels of EM involvement.Originality/valueThis paper makes a twofold contribution. On the one hand, it examines the relationship between EM and CSR, focusing on SMEs' context, in which EM study could be considered incipient. On the other hand, the controversial empirical evidence on the significance and sign of EM and social responsibility link could be explained by the stage of the life cycle of the sector in which each company operates.
A neo-institutional view of the transaction cost drivers of construction supply chain risk management
Authors: Obayi Raymond , Ebrahimi Seyed Nasrollah 
Published: March 2021

PurposeIn a departure from the efficiency theory assumptions implicit in most supply chain risk management (SCRM) literature, this study aims to explore the role that external neo-institutional pressures play in shaping the risk management strategies deployed to mitigate transaction cost risks in construction supply chains (CSC).Design/methodology/approachA theory-elaborating case study is used to investigate how regulatory, normative and mimetic neo-institutional pressures underpin SCRM strategies in state-led and private-led CSC in China.FindingsThe study finds that institutionalized Confucianist networks serve as proxies for regulatory accountability and thereby create a form of dysmorphia in the regulatory, normative and mimetic drivers of SCRM strategies in state-led and private-led CSC in China.Originality/valueThe findings reveal that relational costs such as bargaining, transfer and monitoring costs underpin SCRM in state-led CSC. Behavioral costs associated with search, screening and enforcement are the core drivers of SCRM in private-led CSC. These differences in transaction cost drivers of SCRM arise from the risk-buffering effect of personalized Guanxi networks, creating variants of institutional pressures on actors' risk analysis, identification and treatment strategies in China. Considering China's global hegemony in construction and related industries, this study provides valuable insights for practitioners and researchers on the need for a constrained efficiency view of SCRM in global CSC.
Do human rights violations elicit or impede social entrepreneurship?
Authors: Alnahedh Mishari , Alabduljader Nawaf 
Published: March 2021

Purpose
The purpose of this paper is to investigate two competing hypotheses about the relationship between a country’s human rights violation and social entrepreneurship entry.

Design/methodology/approach
Using multilevel logistic regression with random effect, this paper tested the hypotheses on a sample of 110,460 individuals in 49 countries using data from Global Entrepreneurship Monitor’s Adult Population Survey and the Survey of Social Entrepreneurship for the year 2009. This paper takes advantage of the Cingranelli-Richards Human Rights Data Project to measure a country’s level of human rights protection.

Findings
Human rights are positively related to social entrepreneurship entry. The findings also indicate that public sector expenditure strengthens the relationship between human rights, measured by the judiciary independence and social entrepreneurship entry.

Originality/value
This study contributes to the social entrepreneurship literature by conducting a novel empirical investigation of the direct relationship between a country’s human rights and social entrepreneurship entry.
Effective factors of addiction treatment communities in Peru, Nicaragua and Czechia
Authors: Horák Miroslav , Somerlikova Kristina , Kocarova Rita , Verter Nahanga , Aldama Gonzalez Hector Santiago , Cruz de Souza Tronco Mariah 
Published: March 2021

PurposeThis paper aims to explore the effective factors that influence the treatment of drug addiction in therapeutic communities (TCs) and to determine its essential elements in the Peruvian, Nicaraguan and Czech context.Design/methodology/approachThe qualitative data were collected during semi-structured interviews with inpatients/clients of seven TCs based in Peru (Takiwasi), Nicaragua (Centro de Especialiades en Adicciones, Centro de Rehabilitación del Alcohólico y Adicto a Otras Drogas and Albergue de Miembros Adictos en Recuperación) and the Czech Republic (Renarkon, Sejrek and Kladno-Dubi). All 90 interviews were manually transcribed, and content analysis was performed. Codes were created using the grounded theory method.FindingsThe effective factors of TC, treatment in Peru, Nicaragua and Czechia are identical in conditions such as the presence of a personal therapist, the use of psychotherapy and the importance of group cohesion. In Peru, the administration of medicinal plants and diet was perceived as a principal part of the treatment. Nicaraguan TCs were specific for practicing 12 steps. In Czechia, an emphasis is put on the therapeutic program, workshops and leisure activities. Spirituality and religion play a main role in the Peruvian and Nicaraguan TCs only.Originality/valueThe current study presents a unique insight into the factors considered effective by inpatients/clients of TCs in different socio-cultural contexts.
Six Sigma to distinguish patterns in COVID-19 approaches
Authors: Salentijn Willem , Antony Jiju , Douglas Jacqueline 
Published: March 2021

PurposeCOVID-19 has changed life as we know. Data are scarce and necessary for making decisions on fighting COVID-19. The purpose of this paper is to apply Six Sigma techniques on the current COVID-19 pandemic to distinguish between special cause and common cause variation. In the DMAIC structure, different approaches applied in three countries are compared.Design/methodology/approachFor three countries the mortality is compared to the population to distinguish between special cause variation and common cause variation. This variation and the patterns in it are assessed to the countries' different approaches to COVID-19.FindingsIn the DMAIC problem-solving approach, patterns in the data are distinguished. The special cause variation is assessed to the special causes and approaches. The moment on which measures were taken has been essential, as well as policies on testing and distancing.Research limitations/implicationsCross-national data comparisons are a challenge as countries have different moments on which they register data on their population. Furthermore, different intervals are taken, varying from registering weekly to registering yearly. For the research, three countries with similar data registration and different approaches in fighting COVID-19 were taken.Originality/valueThis is the first study with Master Black Belts from different countries on the application of Six Sigma techniques and the DMAIC from the viewpoint of special cause variation on COVID-19.
Frequent problems and their management among mechanically ventilated critically ill elderly patients
Authors: Tabootwong Watchara , Kiwanuka Frank 
Published: March 2021

Purpose
Multiple pathologies and age-related physiological changes lead to acute respiratory failure. This necessitates mechanical ventilation among elderly patients. Mechanically ventilated critically ill elderly patients may confront various problems, including physical and psychological issues. Therefore, the purpose of this paper is to present the frequent problems encountered by critically ill elderly patients and management of such problems.

Design/methodology/approach
This paper reviews relevant literatures.

Findings
Physical problems include pain and respiratory infections. Additionally, psychological problems include anxiety and stress. Such problems should be managed by physicians, nurses and family members. Pharmacological and non-pharmacological approaches can be used to manage these problems. Pharmacological management involves use of medications, while non-pharmacological interventions include use of music therapy, acupuncture and sensory stimulation.

Originality/value
The paper indicates physical and psychological problems of mechanically ventilated critically ill elderly patients. To ensure effective management of complications encountered by mechanically ventilated elderly patients, health-care professionals ought to be aware of physical and psychological age-related changes.
Tax avoidance and firm risk: evidence from China
Authors: Cao Yuqiang , Feng Zhuoan , Lu Meiting , Shan Yaowen 
Published: March 2021

AbstractPrior literature documents puzzling evidence revealing that tax avoidance activities do not affect firm‐specific risk. Using an extended US sample, we find that lower cash effective tax rates (ETRs) are associated with higher future return volatility, supporting the traditional view of tax risk–return trade‐off. In sharp contrast to the US evidence, our analysis of Chinese firms suggests that Chinese state‐owned enterprises (SOEs) with lower cash and GAAP ETRs tend to have lower future risk. In addition, we adopt a difference‐in‐differences approach based on the variations generated by two exogenous, anti‐tax avoidance regulations in China but find no evidence suggesting a causal relationship between tax avoidance and firm risk. Overall, our results suggest that the relationship between tax avoidance and risk varies across countries, sample periods and tax aggressiveness measures, and we highlight the importance of addressing the endogenous nature in future research.
Shaping ability of three thermally treated nickel‐titanium systems in S‐shaped canals
Authors: Gomaa Mohamed A. , Osama Mohammad , Badr Amany E. 
Published: March 2021

AbstractThis study aimed to compare the shaping ability of ProTaper Next (PTN), HyFlex EDM (HEDM) and One Curve (OC) systems manufactured via different thermal treatment methods in simulated S‐shaped canals. Sixty S‐shaped canals in clear resin blocks were enlarged to a final apical size of 25 using PTN, HEDM and OC instruments (n = 20 canals/group). Composite images were obtained by superimposing pre‐ and post‐preparation images. The amount of removed resin was measured perpendicularly to the canal surface in 22 points. Prepared canal width and canal transportation at different levels were determined. Canal aberrations were also recorded. Data were statistically analysed using analysis of variance, the Kruskal–Wallis and the chi‐square tests at a 0.05 significance level. OC produced the most conservative enlargement and better maintained particularly the apical curvature of the S‐shaped canals than HEDM and PTN. OC and HEDM better maintained the canal terminus and coronal curvature than PTN.