Outputs (15)

Innovation and connectivity in northern european technical cooperation networks (2014)
Journal Article
Pearson, M., & Cabras, I. (2014). Innovation and connectivity in northern european technical cooperation networks. International Journal of Innovation Management, 18(4), 1450022. https://doi.org/10.1142/s1363919614500224

The rationale and policy proposed by two collaborating projects is to increase innovation through improved connectivity among SMEs within northern European supply chains. To inform project policy we test the hypothesis ‘improvement in broadly defined... Read More about Innovation and connectivity in northern european technical cooperation networks.

Network Equilibrium and the Spread of Innovation in Technologically Cooperating European SMEs. (2013)
Working Paper
Pearson, M. Network Equilibrium and the Spread of Innovation in Technologically Cooperating European SMEs

European technical cooperation data from a recent large survey on small and medium enterprises (SMEs) is used to formulate a proxy network of country typical SMEs (CTSMEs) and reveal measures of centrality, bridging, density and structural equivalenc... Read More about Network Equilibrium and the Spread of Innovation in Technologically Cooperating European SMEs..

Value chain management: an illustration using variability mapping and decision frontier analysis. (2013)
Conference Proceeding
Pearson, M. (2013). Value chain management: an illustration using variability mapping and decision frontier analysis.

We address uncertainty and confusion in value chain management through the use of recently developed phase plane and decision frontier analysis. The new methodology enables the distinction between the concept of local, self-inflicted, uncertainty and... Read More about Value chain management: an illustration using variability mapping and decision frontier analysis..

Value Chain Management: An Illustration using Variability Mapping and Decision Frontier Analysis. (2012)
Working Paper
Pearson, M. Value Chain Management: An Illustration using Variability Mapping and Decision Frontier Analysis

A simple value chain is modeled by a contractor (dual operator) making an agreement with a customer (primal operator) to complete a project in a number of stages monitored within a certain agreed time scale. The customer defines the demand (D) for se... Read More about Value Chain Management: An Illustration using Variability Mapping and Decision Frontier Analysis..

Dynamic networks and behavior: separating selection from influence. (2010)
Journal Article
Steglich, C., Snijders, T., & Pearson, M. (2010). Dynamic networks and behavior: separating selection from influence. Sociological Methodology, 40, 329-393. https://doi.org/10.1111/j.1467-9531.2010.01225.x

A current problem in the analysis of behavioral dynamics, given a simultaneously evolving social network, is the difficulty of separating effects of partner selection from effects of social influence. In this paper we present a recently developed fam... Read More about Dynamic networks and behavior: separating selection from influence..

Process control in agile supply chain network (2010)
Journal Article
Pearson, M., Masson, R., & Swain, A. (2010). Process control in agile supply chain network. International Journal of Production Economics, 128, 22-30. https://doi.org/10.1016/j.ijpe.2010.01.027

The work comprises a new theoretical development applied to aid decision making in an increasingly important commercial sector. Agile supply, where small volumes of high margin, short life cycle innovative products are offered, is increasingly carrie... Read More about Process control in agile supply chain network.

Decision frontiers in supply chain networks. (2008)
Book Chapter
Pearson, M. (2008). Decision frontiers in supply chain networks. In A. Dwivedi, & T. Butcher (Eds.), Supply Chain Management and Knowledge Management: Integrating critical perspectives in theory and practice (137-150). Palgrave MacMillan

We outline a new approach to the analysis of supply chains which uncovers a duality between networks as knowledge structures and networks as decision-making structures. The work incorporates a network transformation which introduces, under fairly gen... Read More about Decision frontiers in supply chain networks..

Prioritizing edge over node: process control in supply chain networks and push-pull strategies (2008)
Journal Article
Pearson, M. (2008). Prioritizing edge over node: process control in supply chain networks and push-pull strategies. Journal of the Operational Research Society, 59(4), 494-502. https://doi.org/10.1057/palgrave.jors.2602314

We outline recent work identifying an equilibrium solution in a supply chain network. The solution overcomes some difficulties associated with the bullwhip effect through limited cooperation and coordination along edges (links) in the supply chain ne... Read More about Prioritizing edge over node: process control in supply chain networks and push-pull strategies.

Goodwill hunting and profit sharing: decision-making in a newspaper chain. (2007)
Journal Article
Pearson, M. (2007). Goodwill hunting and profit sharing: decision-making in a newspaper chain. European Journal of Operational Research, 181, 1593-1606. https://doi.org/10.1016/j.ejor.2005.11.058

A generalised equilibrium solution to the stochastic two-echelon newsvendor problem is achievable when formulated in the context of some cooperation and coordination between the primal (retailer) and dual (manufacturer) operators. We build on previou... Read More about Goodwill hunting and profit sharing: decision-making in a newspaper chain..

Adolescent substance use in different social and peer contexts: a social network analysis. (2006)
Journal Article
Pearson, M., Sweeting, H., West, P., Young, R., Gordon, J., & Turner, K. (2006). Adolescent substance use in different social and peer contexts: a social network analysis. Drugs: Education, Prevention, and Policy, 13(6), 519-536. https://doi.org/10.1080/09687630600828912

This exploratory study investigates whether associations between social network measures and substance use differ according to type of substance and social context. The analyses use data obtained from 13 and 15 year olds (N=3146) in a school-based su... Read More about Adolescent substance use in different social and peer contexts: a social network analysis..