Subtopic Deep Dive

Quantitative Research Methods
Research Guide

What is Quantitative Research Methods?

Quantitative Research Methods in Business and Management Studies apply statistical modeling, survey design, and econometric techniques to analyze business data for empirical validation of management theories.

This subtopic covers regression analysis, structural equation modeling, panel data methods, and bibliometric analysis in management contexts. Key papers include Lacerda et al. (2012) with 169 citations on bibliometric strategy evaluation and Ensslin et al. (2010) with 132 citations on multicriteria performance assessment. Over 10 high-citation papers from 2005-2020 demonstrate applications in supply chain, telework, and financial prediction.

Curated Papers

Key Challenges

Why It Matters

Quantitative methods enable causal inference in management decisions, as shown in Miguel and Brito (2011) confirming SCM's impact on operational performance (101 citations). They support evidence-based strategies in organizations, with Lacerda et al. (2012) bibliometric process selecting relevant strategy papers (169 citations). Ensslin et al. (2010) multicriteria model evaluates outsourced firm performance, aiding telecom sector decisions (132 citations).

Key Research Challenges

Multicollinearity in Regressions

High correlations among predictors bias coefficient estimates in business econometric models. Miguel and Brito (2011) developed SCM measurement addressing this in operational performance analysis. Detection requires variance inflation factors and robust standard errors.

Sampling Bias in Surveys

Non-representative business samples distort management generalizations, as noted in telework studies like Filardi et al. (2020). Strategies include stratified sampling and weighting adjustments. Validity checks via Paiva Júnior et al. (2011) extend to mixed methods (113 citations).

Panel Data Heterogeneity

Time-series cross-section business data varies across firms, complicating fixed/random effects choices. Altman et al. (1979) financial prediction models highlight endogeneity issues. Hausman tests and clustered errors address unobserved heterogeneity.

Essential Papers

Uma análise bibliométrica da literatura sobre estratégia e avaliação de desempenho

Rogério Tadeu de Oliveira Lacerda, Leonardo Ensslin, Sandra Rolim Ensslin · 2012 · Gestão & Produção · 169 citations

Motivado por uma pesquisa que visa estudar como a avaliação de desempenho pode ser utilizada para apoiar a estratégia empresarial, o presente trabalho visa apresentar um processo para selecionar ar...

Avaliação do desempenho de empresas terceirizadas com o uso da metodologia multicritério de apoio à decisão - construtivista

Leonardo Ensslin, Edilson Giffhorn, Sandra Rolim Ensslin et al. · 2010 · Pesquisa Operacional · 132 citations

O objetivo do presente trabalho consiste em construir um modelo para avaliar o desempenho de empresas terceirizadas na área de telecomunicações. Trata-se de um estudo de caso, caracterizando-se com...

Validade e confiabilidade na pesquisa qualitativa em administração

Fernando Gomes de Paiva Júnior, André Luiz Maranhão de Souza Leão, Sérgio Carvalho Benício de Mello · 2011 · Revista de Ciências da Administração · 113 citations

O uso da pesquisa qualitativa tem crescido na academia de Administração. No entanto, entendemos que para sua melhor utilização seja necessário se discutir seus princípios de validade e confiabilida...

Advantages and contributions in the balanced scorecard implementation

Patrícia Rodrigues Quesado, Beatriz Aibar Guzmán, Lúcia Lima Rodrigues · 2018 · Intangible Capital · 104 citations

Purpose: In this paper we aim to identify and analyse a set of advantages and contributions derived from the Balanced Scorecard (BSC) implementation.\n\nDesign/methodology/approach: In or...

Supply Chain Management measurement and its influence on Operational Performance

Priscila Laczynski de Souza Miguel, Luiz Artur Ledur Brito · 2011 · Journal of Operations and Supply Chain Management · 101 citations

This paper empirically confirmed a positive relationship between Supply Chain Management (SCM) and operational performance. A measurement model of the SCM construct was developed. Operational perfo...

Vantagens e desvantagens do teletrabalho na administração pública: análise das experiências do Serpro e da Receita Federal

Fernando Filardi, RACHEL MERCEDES P. DE CASTRO, Marco Tulio Zanini · 2020 · Cadernos EBAPE BR · 87 citations

Resumo Este estudo investigou as vantagens e desvantagens do teletrabalho na administração pública na percepção de 98 teletrabalhadores e 28 gestores do Serviço Federal de Processamento de Dados (S...

Contabilidade: aspectos relevantes da epopéia de sua evolução

Sérgio de Iudícibus, Eliseu Martins, Luiz Nelson Guedes de Carvalho · 2005 · Revista Contabilidade & Finanças · 82 citations

Trata o presente ensaio, como objetivo principal, de aspectos relevantes da epopéia da evolução da Contabilidade, através das várias fases históricas de seu desenvolvimento, desde o estado de simpl...

Reading Guide

Foundational Papers

Start with Lacerda et al. (2012, 169 citations) for bibliometric methods in strategy evaluation, then Ensslin et al. (2010, 132 citations) for multicriteria performance modeling, and Miguel and Brito (2011, 101 citations) for SCM empirics, establishing core quantitative workflows.

Recent Advances

Study Quesado et al. (2018, 104 citations) on Balanced Scorecard advantages and Filardi et al. (2020, 87 citations) on telework surveys for modern applications integrating quantitative metrics.

Core Methods

Bibliometrics (Lacerda et al., 2012), multicriteria decision (Ensslin et al., 2010), structural modeling (Miguel and Brito, 2011), Z-score prediction (Altman et al., 1979).

How PapersFlow Helps You Research Quantitative Research Methods

Discover & Search

Research Agent uses searchPapers and citationGraph to map high-citation works like Lacerda et al. (2012, 169 citations) on bibliometric strategy evaluation, then findSimilarPapers uncovers related SCM models from Miguel and Brito (2011). exaSearch queries 'quantitative methods business performance Brazil' for regional econometric papers.

Analyze & Verify

Analysis Agent applies readPaperContent to extract measurement models from Ensslin et al. (2010), verifies causal claims with verifyResponse (CoVe) against GRADE grading for evidence strength, and runs PythonAnalysis with pandas for multicollinearity checks on replicated datasets from Miguel and Brito (2011). Statistical verification confirms regression robustness.

Synthesize & Write

Synthesis Agent detects gaps in performance evaluation literature via contradiction flagging between Ensslin et al. (2010) and Quesado et al. (2018), while Writing Agent uses latexEditText, latexSyncCitations for Altman et al. (1979), and latexCompile for econometric tables. exportMermaid visualizes citation networks from Lacerda et al. (2012).

Use Cases

"Replicate SCM performance regression from Miguel and Brito 2011 with Python"

Research Agent → searchPapers('SCM operational performance') → Analysis Agent → readPaperContent → runPythonAnalysis(pandas regression, VIF computation) → researcher gets validated R-squared output and multicollinearity diagnostics.

"Draft LaTeX review of quantitative methods in Brazilian management papers"

Synthesis Agent → gap detection on Ensslin et al. 2010 + Lacerda et al. 2012 → Writing Agent → latexEditText(structured sections) → latexSyncCitations → latexCompile → researcher gets compiled PDF with 5 cited papers.

"Find GitHub repos implementing Altman financial distress models"

Research Agent → searchPapers('Altman Z-score') → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets 3 repos with Python implementations and usage examples.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ quantitative papers via searchPapers → citationGraph on Lacerda et al. (2012), outputting structured report with GRADE-scored evidence. DeepScan applies 7-step analysis to Ensslin et al. (2010) multicriteria model, checkpoint-verifying construct validity. Theorizer generates hypotheses linking SCM metrics (Miguel and Brito, 2011) to telework outcomes (Filardi et al., 2020).

Try Doxa for Quantitative Research Methods Research

Frequently Asked Questions

What defines Quantitative Research Methods in business?

Statistical and econometric techniques like regression and multicriteria analysis applied to management data for theory testing, as in Ensslin et al. (2010) performance evaluation (132 citations).

What are common methods used?

Bibliometric selection (Lacerda et al., 2012), SCM measurement modeling (Miguel and Brito, 2011), and multicriteria decision aids (Ensslin et al., 2010).

What are key papers?

Lacerda et al. (2012, 169 citations) on strategy bibliometrics, Ensslin et al. (2010, 132 citations) on outsourcing performance, Miguel and Brito (2011, 101 citations) on SCM operations.

What open problems exist?

Integrating qualitative validity (Paiva Júnior et al., 2011) with quantitative scalability, handling endogeneity in panel business data beyond Altman et al. (1979), and cross-cultural generalizability in Brazilian studies.