suPlay Purchasing Game Beer Game Minigames Poll SSA

Research foundation

The science behind Supplier Satisfaction Analyses

SSA operationalises a peer-reviewed framework for measuring supplier satisfaction, preferred customer status, and preferential treatment — developed and empirically validated across two decades of research by Vos, Schiele, Arentsen and colleagues.

The empirical chain — why measuring this matters

Vos et al. (2016) and Schiele et al. (2011) together establish a causal chain: the buyer's behavior shapes supplier satisfaction, which determines whether the buyer is awarded preferred customer status, which in turn unlocks tangible preferential treatment — including innovations from suppliers.

β = standardized path coefficient; ** p < 0.01 (one-sided). Statistics drawn from the Vos et al. (2016) and Schiele et al. (2011) papers cited below.

Antecedents of supplier satisfaction

Nine dimensions of buyer behavior act as antecedents of supplier satisfaction. Together they explain up to 61% of variance in supplier satisfaction (Vos et al. 2016, direct-procurement sample, n = 171). Effect sizes (β) below are from the Vos et al. (2016) revised model for direct procurement — some antecedents act directly on satisfaction, others through a related antecedent (shown with an arrow).

Growth opportunity

The supplier's perceived potential to grow through the relationship — new product lines, new markets, scaling volume.

β = 0.20**

Profitability

The supplier's perception that the relationship is, or will be, economically profitable. Strongest direct antecedent in both procurement contexts.

β = 0.38**

Relational behavior

The buyer's openness, trustworthiness, reciprocity, and cooperative conduct toward the supplier.

β = 0.34**

Operative excellence

The buyer's efficiency and reliability in day-to-day operational processes — ordering, billing, delivery handling. Particularly important in indirect procurement.

β = 0.18* (indirect)

Innovation potential

The buyer's perceived innovative capability, which signals long-term growth opportunity to the supplier.

→ growth opportunity (β = 0.60**)

Reliability

The buyer's predictability and dependability in commitments. Strongest driver of relational behavior in indirect procurement.

→ relational behavior (β = 0.57**)

Support

The buyer's assistance with supplier development — training, knowledge sharing, problem-solving.

→ relational behavior (β = 0.22**)

Involvement

The buyer's active participation in the supplier's processes, including early supplier integration in development.

→ relational behavior (β = 0.20**)

Contact accessibility

The availability and responsiveness of buyer contact persons. The dominant driver of perceived operative excellence.

→ operative excellence (β = 0.40**)

How the framework evolved

The framework now used in SSA was developed across a series of peer-reviewed contributions:

  1. Schiele, Veldman & Hüttinger (2011) first established that preferred customer status drives both supplier innovativeness and benevolent pricing — contradicting the prevailing assumption that buyers must choose between cheap suppliers and innovative ones.
  2. Hüttinger, Schiele & Veldman (2012) synthesised the literature on customer attractiveness, supplier satisfaction, and preferred customer status into a single overarching framework, identifying seven candidate antecedents of satisfaction.
  3. Vos, Schiele & Hüttinger (2016) empirically validated the framework across both direct and indirect procurement, added profitability as a further antecedent, and established the revised two-tier model of nine antecedents: four first-tier antecedents (growth opportunity, profitability, relational behavior, operative excellence) and five second-tier antecedents acting through them.
  4. Arentsen, Vos & Schiele (2025, IPSERA) replicated the finding that supplier satisfaction and its antecedents increase innovation from suppliers, and extended the framework to how a buyer can actively move those antecedents themselves — showing that jointly involving purchasing and R&D and aligning their goals raises innovation-related antecedents such as innovation potential and supplier involvement. This confirms that purchasing involvement is one concrete way to influence the antecedents and, in turn, secure preferential access to suppliers' innovation resources.

SSA implements the validated Vos et al. (2016) framework directly — the questionnaire dimensions, scaling, and analytical model used in the platform map one-to-one onto the peer-reviewed constructs.

The researchers

SSA is built and maintained by the researchers who developed the underlying framework.

Prof. Dr. Holger Schiele

Supplier satisfaction expert

Professor of Technology Management — Innovation of Operations at the University of Twente. Habilitation focused on innovations from and with suppliers. Foundational contributor to the preferred customer concept in academic supply management research, with over 9,000 citations.

Co-author of the papers underpinning the SSA framework (Schiele et al. 2011, Hüttinger et al. 2012, Vos et al. 2016, Arentsen et al. 2025).

Dr. Frederik G.S. Vos

Supplier satisfaction expert

Assistant Professor of Logistics and Supply Chain Management at Portland State University. PhD from the University of Twente. Associate Editor of the Journal of Purchasing and Supply Management. Executive Committee member of IPSERA. Co-founder of suPlay.

Lead author of the Vos et al. (2016) replication and extension that established the revised supplier satisfaction model.

Jeroen Arentsen, MSc

Supplier satisfaction researcher

Procurement consultant at Supply Value and researcher in purchasing & supply management. MSc in Business Administration specialising in Purchasing & Supply Management; his thesis on early supplier involvement in ICT tenders won the Sourcing Netherlands Thesis Award (2021).

Lead author of Arentsen et al. (2025), linking joint purchasing and R&D involvement to innovation-related supplier satisfaction and preferential access to supplier innovation.

Cited papers

The peer-reviewed publications and conference research behind the SSA framework. Where available, links point to the publisher's canonical version (DOI) and, where permitted, to a freely accessible postprint.

  1. Vos, F.G.S., Schiele, H., & Hüttinger, L. (2016). Supplier satisfaction: Explanation and out-of-sample prediction. Journal of Business Research, 69(10), 4613–4623. DOI: 10.1016/j.jbusres.2016.04.013 · Free full text (UTwente repository, Taverne amendment)
  2. Schiele, H., Veldman, J., & Hüttinger, L. (2011). Supplier innovativeness and supplier pricing: The role of preferred customer status. International Journal of Innovation Management, 15(1), 1–27. DOI: 10.1142/S1363919611003064
  3. Hüttinger, L., Schiele, H., & Veldman, J. (2012). The drivers of customer attractiveness, supplier satisfaction and preferred customer status: A literature review. Industrial Marketing Management, 41(8), 1194–1205. DOI: 10.1016/j.indmarman.2012.10.004
  4. Arentsen, J., Vos, F.G.S., & Schiele, H. (2025). Two agents, one goal: How purchasing and R&D goal congruence unlocks supplier innovation resources. Paper presented at IPSERA 2025, Rotterdam, the Netherlands.

Apply the framework to your own supplier base

SSA implements this validated framework as a turnkey assessment platform — scientifically grounded surveys, automated analysis, benchmarking, and reporting.

For Buying Firms Get started