Research agenda table: power bases and commitment pathways
| Power type | Key research question | Commitment pathway | Buyer countervailing power | Possible study designs |
|---|---|---|---|---|
| Reward power | How do supply chain partners' use of reward-based influence tactics affect buyer trust, commitment, and cooperation under varying dependence conditions? | RSA → Affective/Quality → Calculative | Buyer alternatives | Scenario-based experiments manipulating reward types and fairness perceptions; field surveys measuring the interplay between reward use and relational outcomes; or longitudinal studies tracking how ongoing incentives alter commitment over time |
| Coercive power | How does a supply chain partner's use or threat of coercive tactics affect buyer compliance, trust erosion, and relationship recovery over time? | RSA → Affective | Buyer contractual safeguards | Longitudinal field studies tracking perceptions of coercion and relationship outcomes across multiple periods; scenario-based experiments modeling short-term versus delayed reactions; or archival analyses examining contract enforcement events and subsequent performance |
| Legitimate power | How does formal or institutional authority influence buyers' calculative commitment and compliance across different governance contexts? | Quality → Calculative | Regulatory oversight | Cross-industry surveys capturing perceived legitimacy and formal authority structures; archival analyses of contracts, certifications, or regulatory frameworks that institutionalize authority; or longitudinal studies examining how legitimacy and commitment evolve as governance mechanisms mature |
| Referent power | How does reputational admiration or cultural alignment with a supply chain partner enhance affective commitment and relational identification? | RSA → Affective | Cultural alignment | Network analyses examining how admiration and identification flow through interfirm relationships; case-comparative studies of culturally aligned partnerships; or mixed-method studies combining surveys and interviews to capture the social-symbolic mechanisms of referent power |
| Expert power | How does a partner's technical expertise or knowledge superiority influence buyers' calculative commitment and perceived dependence? | Quality → Calculative | Technology dependency | Scenario-based experiments manipulating perceived expertise and technology dependency; dyadic surveys comparing self-rated versus perceived expertise across partners; or qualitative case studies of high-knowledge exchanges such as technology or professional service supply chains |
| Informational power | How does information transparency or asymmetry within supply chain relationships influence affective and calculative commitment? | RSA → Affective/Quality → Calculative | Information symmetry | Experimental designs manipulating levels of information openness or control; field surveys assessing perceived information symmetry and its relational effects; or longitudinal studies tracking how transparency initiatives reshape trust and dependence over time |
| Power base shifts over time | How do changes in relational and economic power bases influence the stability and evolution of buyer–supplier commitment? | Both paths | Buyer resource evolution | Longitudinal panel studies tracking shifts in dependence, resources, and influence perceptions across time; multi-wave surveys examining how transitions between power bases affect both affective and calculative commitment; or archival analyses tracing industry or firm-level changes in power balance |
| Countervailing power interactions | Can buyers' ESG performance or sustainability certifications offset suppliers' reputational (relationship) power and rebalance commitment across both affective and calculative pathways? | Both paths | ESG standing | Comparative case studies examining ESG-driven countervailing power in supply networks; cross-sectional or dyadic surveys capturing both supplier reputation and buyer ESG standing; or mixed-method designs linking secondary ESG data with relational outcome measures |
| Multi-actor power dynamics | How does power operate and interact across triadic or network supply chain contexts, and how do these configurations influence affective and calculative commitment? | Both paths | Network density | Network analyses mapping relational and economic influence across multiple actors; longitudinal or temporal network studies capturing how power structures evolve; or comparative case studies examining triadic configurations (e.g. buyer–supplier–customer or supplier–supplier–buyer networks) |
| Power type | Key research question | Commitment pathway | Buyer countervailing power | Possible study designs |
|---|---|---|---|---|
| Reward power | How do supply chain partners' use of reward-based influence tactics affect buyer trust, commitment, and cooperation under varying dependence conditions? | RSA → Affective/Quality → Calculative | Buyer alternatives | Scenario-based experiments manipulating reward types and fairness perceptions; field surveys measuring the interplay between reward use and relational outcomes; or longitudinal studies tracking how ongoing incentives alter commitment over time |
| Coercive power | How does a supply chain partner's use or threat of coercive tactics affect buyer compliance, trust erosion, and relationship recovery over time? | RSA → Affective | Buyer contractual safeguards | Longitudinal field studies tracking perceptions of coercion and relationship outcomes across multiple periods; scenario-based experiments modeling short-term versus delayed reactions; or archival analyses examining contract enforcement events and subsequent performance |
| Legitimate power | How does formal or institutional authority influence buyers' calculative commitment and compliance across different governance contexts? | Quality → Calculative | Regulatory oversight | Cross-industry surveys capturing perceived legitimacy and formal authority structures; archival analyses of contracts, certifications, or regulatory frameworks that institutionalize authority; or longitudinal studies examining how legitimacy and commitment evolve as governance mechanisms mature |
| Referent power | How does reputational admiration or cultural alignment with a supply chain partner enhance affective commitment and relational identification? | RSA → Affective | Cultural alignment | Network analyses examining how admiration and identification flow through interfirm relationships; case-comparative studies of culturally aligned partnerships; or mixed-method studies combining surveys and interviews to capture the social-symbolic mechanisms of referent power |
| Expert power | How does a partner's technical expertise or knowledge superiority influence buyers' calculative commitment and perceived dependence? | Quality → Calculative | Technology dependency | Scenario-based experiments manipulating perceived expertise and technology dependency; dyadic surveys comparing self-rated versus perceived expertise across partners; or qualitative case studies of high-knowledge exchanges such as technology or professional service supply chains |
| Informational power | How does information transparency or asymmetry within supply chain relationships influence affective and calculative commitment? | RSA → Affective/Quality → Calculative | Information symmetry | Experimental designs manipulating levels of information openness or control; field surveys assessing perceived information symmetry and its relational effects; or longitudinal studies tracking how transparency initiatives reshape trust and dependence over time |
| Power base shifts over time | How do changes in relational and economic power bases influence the stability and evolution of buyer–supplier commitment? | Both paths | Buyer resource evolution | Longitudinal panel studies tracking shifts in dependence, resources, and influence perceptions across time; multi-wave surveys examining how transitions between power bases affect both affective and calculative commitment; or archival analyses tracing industry or firm-level changes in power balance |
| Countervailing power interactions | Can buyers' ESG performance or sustainability certifications offset suppliers' reputational (relationship) power and rebalance commitment across both affective and calculative pathways? | Both paths | ESG standing | Comparative case studies examining ESG-driven countervailing power in supply networks; cross-sectional or dyadic surveys capturing both supplier reputation and buyer ESG standing; or mixed-method designs linking secondary ESG data with relational outcome measures |
| Multi-actor power dynamics | How does power operate and interact across triadic or network supply chain contexts, and how do these configurations influence affective and calculative commitment? | Both paths | Network density | Network analyses mapping relational and economic influence across multiple actors; longitudinal or temporal network studies capturing how power structures evolve; or comparative case studies examining triadic configurations (e.g. buyer–supplier–customer or supplier–supplier–buyer networks) |