D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Business and Management D-index 33 Citations 9,167 59 World Ranking 1055 National Ranking 13

Overview

What is he best known for?

The fields of study he is best known for:

  • Marketing
  • Psychology
  • Information technology

Cipriano Forza mainly focuses on Process management, Operations management, Supply chain management, Marketing and Quality. Cipriano Forza frequently studies issues relating to Mass customization and Process management. His Supply chain management study combines topics in areas such as Performance management, Industrial organization and Strategic management.

His Marketing research is multidisciplinary, relying on both Resource and Digital firm. His study in the fields of Total quality management under the domain of Quality overlaps with other disciplines such as Empirical research. His work in Supply chain addresses subjects such as Strategy implementation, which are connected to disciplines such as Personalization and Product management.

His most cited work include:

  • Survey research in operations management: a process‐based perspective (914 citations)
  • Modularity, product variety, production volume, and component sourcing: theorizing beyond generic prescriptions (401 citations)
  • TQM impact on quality conformance and customer satisfaction: A causal model (383 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Mass customization, Process management, Process, Configurator and Marketing. The concepts of his Mass customization study are interwoven with issues in Manufacturing engineering, Software engineering and Product management. His research in Product management tackles topics such as Systems engineering which are related to areas like Supply chain management.

His Process management research incorporates elements of Quality, Operations management and New product development. In the subject of general Quality, his work in Total quality management is often linked to Empirical research, thereby combining diverse domains of study. His work in the fields of Process, such as Product modelling, intersects with other areas such as Configuration system.

He most often published in these fields:

  • Mass customization (39.13%)
  • Process management (32.17%)
  • Process (20.00%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mass customization (39.13%)
  • Social relation (6.09%)
  • Process management (32.17%)

In recent papers he was focusing on the following fields of study:

Cipriano Forza focuses on Mass customization, Social relation, Process management, Software engineering and Quality. You can notice a mix of various disciplines of study, such as Empirical research and Empirical evidence, in his Mass customization studies. His research on Process management often connects related topics like Knowledge acquisition.

His Knowledge acquisition research is multidisciplinary, incorporating elements of Domain and Process. He has included themes like Supply chain and Risk analysis in his Quality study. His Industrial organization study incorporates themes from Build to order and Personalization.

Between 2017 and 2021, his most popular works were:

  • Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective (28 citations)
  • Product complexity and operational performance: A systematic literature review (18 citations)
  • Implementation guidelines for mass customization: current characteristics and suggestions for improvement (16 citations)

In his most recent research, the most cited papers focused on:

  • Marketing
  • Psychology
  • Information technology

Mass customization, Quality, Knowledge acquisition, Information technology and Process management are his primary areas of study. His Mass customization research is multidisciplinary, relying on both Software engineering and Human resource management. Cipriano Forza combines subjects such as Supply chain, Complexity management and Risk analysis with his study of Quality.

The concepts of his Knowledge acquisition study are interwoven with issues in Configurator, Product modeling, Customer satisfaction and Process. Along with Information technology, other disciplines of study including Documentation, Participant observation, Scope, Knowledge management and Exploratory research are integrated into his research. His research on Process management frequently links to adjacent areas such as Domain.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Survey research in operations management: a process‐based perspective

Cipriano Forza.
International Journal of Operations & Production Management (2002)

1926 Citations

TQM impact on quality conformance and customer satisfaction: A causal model

Cipriano Forza;Roberto Filippini.
International Journal of Production Economics (1998)

689 Citations

Modularity, product variety, production volume, and component sourcing: theorizing beyond generic prescriptions

F Salvador;C Forza;M Rungtusanatham.
Journal of Operations Management (2002)

678 Citations

Work organization in lean production and traditional plants

Cipriano Forza.
International Journal of Operations & Production Management (1996)

384 Citations

Supply‐chain linkages and operational performance: A resource‐based‐view perspective

M. Rungtusanatham;F. Salvador;C. Forza;Thomas Choi.
International Journal of Operations & Production Management (2003)

371 Citations

Managing for variety in the order acquisition and fulfilment process: The contribution of product configuration systems

Cipriano Forza;Fabrizio Salvador.
International Journal of Production Economics (2002)

343 Citations

A framework for analysing business performance, firm innovation and related contextual factors: perceptions of managers and policy makers in two European regions

Andy Neely;Roberto Filippini;Cipriano Forza;Andrea Vinelli.
Integrated Manufacturing Systems (2001)

325 Citations

Rapid internationalization of traditional SMEs: Between gradualist models and born globals

Igor Kalinic;Cipriano Forza.
International Business Review (2012)

280 Citations

A replication study of a theory of quality management underlying the Deming management method: insights from an Italian context

Manus Rungtusanatham;Cipriano Forza;Roberto Filippini;John C Anderson.
Journal of Operations Management (1998)

263 Citations

Survey research in operations management: historical analyses

M.Johnny Rungtusanatham;Thomas Y Choi;David G Hollingworth;Zhaohui Wu.
Journal of Operations Management (2003)

244 Citations

Best Scientists Citing Cipriano Forza

Frank T. Piller

Frank T. Piller

RWTH Aachen University

Publications: 20

Jan Olhager

Jan Olhager

Lund University

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Angappa Gunasekaran

Pennsylvania State University

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Brian Fynes

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University College Dublin

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Roger G. Schroeder

Roger G. Schroeder

University of Minnesota

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Tobias Schoenherr

Tobias Schoenherr

Michigan State University

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Xiande Zhao

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China Europe International Business School

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Baofeng Huo

Baofeng Huo

University of Guelph

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Paul D. Cousins

Paul D. Cousins

University of Manchester

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Mitchell M. Tseng

Mitchell M. Tseng

Feng Chia University

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Alexander Felfernig

Alexander Felfernig

Graz University of Technology

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Daniel Indarto Prajogo

Daniel Indarto Prajogo

Monash University

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Charbel José Chiappetta Jabbour

Charbel José Chiappetta Jabbour

University of Lincoln

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Ram Narasimhan

Ram Narasimhan

Michigan State University

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Keng-Boon Ooi

Keng-Boon Ooi

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Stefan Seuring

Stefan Seuring

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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