1 / 12

The Impact of Monitoring versus Monetary Incentives on Retail Sales Productivity

The Impact of Monitoring versus Monetary Incentives on Retail Sales Productivity. Rajiv D. Banker* Seok-Young Lee** Jose M. Plehn-Dujowich* *Fox School of Business, Temple University **Sungshin Women’s University, South Korea. June 7, 2014. 1. Monetary Incentives.

nika
Download Presentation

The Impact of Monitoring versus Monetary Incentives on Retail Sales Productivity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Impact of Monitoring versus Monetary Incentives on Retail Sales Productivity Rajiv D. Banker* Seok-Young Lee** Jose M. Plehn-Dujowich* *Fox School of Business, Temple University **Sungshin Women’s University, South Korea June 7, 2014 1

  2. Monetary Incentives • Monetary incentives serve two functions • Motivate effort: resolve moral hazard (MH) (Jensen and Meckling, 1976; Holmstrom, 1979) • Serve as screening device: resolve adverse selection (AS) (Murphy, 1986; Milgrom and Roberts, 1992) • Evidence is mixed as to their effectiveness • Positive (Banker et al., 1996a, 1996b) • Insignificant (Cravens et al., 1993) • Negative (Challagalla and Shervani, 1996)

  3. Monitoring • Role of monitoring in agency theory • Monitor effort to alleviate MH (Basu et al., 1985; Lal and Srinivasan, 1993; Joseph and Thevaranjan, 1998; Slater and Olson, 2000; Lambert, 2001) • Role of monitoring in organizational (behavior-based) control theory • Monitoring not as effective when have low task programmability (Anderson and Oliver, 1987; Eisenhardt, 1985, 1988; Ouchi, 1979) • Creativity dampened by monitoring (Deci et al., 1989; Oldham and Cummings, 1996; Zhou, 2003)

  4. Outline of Presentation • Principal-agent model with MH, which predicts: • Monitoring improves performance • Monetary incentives improve performance • Marginal benefit of monitoring diminishes when have monetary incentives • Optimal level of monitoring is greater when have no monetary incentives • Evidence from chain of department stores, half of which use monetary incentives • First stage: DEA analysis • Second stage: OLS regressions of sales productivity agree with model’s predictions

  5. A Principal-Agent Model with MH • Risk-neutral manager hires risk-averse salesperson • Salesperson exerts two types of effort • Routine: • Creative: • Sales productivity: • Monitoring signal: • Greater monitoring increases precision: • Timing of the game • Stage 1: Manager sets level of monitoring m • Stage 2: Manager designs compensation scheme • Stage 3: Salesperson exerts effort

  6. Compensation Schemes • No monetary incentives • Contract on monitoring signal: • Performance • Sales productivity: • Profits of manager: • Monitoring improves performance: • Monetary incentives • Contract on monitoring signal & sales productivity: • Performance • Sales productivity: • Profits of manager: • Monitoring improves performance:

  7. Monitoring vs. Monetary Incentives • Monetary incentives improve performance • Sales productivity: • Profits of manager: • Marginal benefit of monitoring diminishes when have monetary incentives, if creative effort is important: • Sales productivity: • Profits of manager: • Thus, optimal level of monitoring is greater when have no monetary incentives

  8. Sample and Variables • Dataset: chain of mid-end department stores, each store is a decision-making unit (DMU), 60 months • 10 stores offer sales commission • 10 control stores in same geographic region do not • Two-stage estimation (Banker and Natarajan, 2008) • First stage: DEA analysis of sales productivity (Banker, Charnes, and Cooper, 1984) • Output: store SALES • Inputs: total selling HOURS, store SIZE, average INVENTORY • Second stage: perform OLS regression of DEA scores • MONITORING = managerial hours/total selling hours • MONINCENT dummy = 1 if have sales commission

More Related