D-Index & Metrics Best Publications

Joe Peppard

European School of Management and Technology
Germany

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Business and Management D-index 39 Citations 12,064 96 World Ranking 1008 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

Marketing
Management
Strategic management

His primary areas of investigation include Marketing, Process management, Knowledge management, Strategic information system and Management information systems. The various areas that he examines in his Marketing study include Supply and demand and Value chain. His Process management study integrates concerns from other disciplines, such as Value network analysis, Competitive advantage, Competitor analysis and Investment decisions.

The concepts of his Competitive advantage study are interwoven with issues in Product-service system, Service and Operations research. In the subject of general Knowledge management, his work in Change management is often linked to Work, thereby combining diverse domains of study. His Customer relationship management research integrates issues from Electronic business and Financial services.

His most cited work include:

State-of-the-art in product-service systems (1342 citations)
Beyond strategic information systems: towards an IS capability (589 citations)
From value chain to value network: Insights for mobile operators (479 citations)

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

Joe Peppard mainly focuses on Knowledge management, Process management, Marketing, Management information systems and Public relations. Joe Peppard usually deals with Knowledge management and limits it to topics linked to Process and Strategic management and Performance improvement. His Process management study deals with Product-service system intersecting with Operations research.

In his study, Value network is strongly linked to Business value, which falls under the umbrella field of Marketing. His Management information systems research is mostly focused on the topic Strategic information system. His study explores the link between Public relations and topics such as Outsourcing that cross with problems in Organizational culture and Function.

He most often published in these fields:

Knowledge management (37.80%)
Process management (23.17%)
Marketing (19.51%)

What were the highlights of his more recent work (between 2011-2018)?

Knowledge management (37.80%)
Process management (23.17%)
Public relations (12.20%)

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

Joe Peppard spends much of his time researching Knowledge management, Process management, Public relations, Management and Realisation. The study of Knowledge management is intertwined with the study of Business value in a number of ways. His Process management research includes themes of Product-service system, Manufacturing firms and Lean manufacturing.

His Public relations research incorporates elements of Co-creation and Service innovation. He incorporates a variety of subjects into his writings, including Realisation, Resistance, Theory of reasoned action, Enabling Factors, Enabling and Manufacturing engineering. His study in the fields of Strategic information system and Soft systems methodology under the domain of Management information systems overlaps with other disciplines such as Technology strategy, Business model and Information management.

Between 2011 and 2018, his most popular works were:

Factors affecting the successful realisation of benefits from systems development projects: findings from three case studies (128 citations)
Information systems strategy as practice (100 citations)
Servitized manufacturing firms competing through remote monitoring technology (35 citations)

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.