Effectual selling in service ecosystems
JOURNAL OF PERSONAL SELLING & SALES MANAGEMENT
Authors: Wang, Hao; Schrock, Wyatt A.; Kumar, Anand; Hughes, Douglas E.
Abstract
This research draws on effectuation theory and service dominant logic to develop the concept of effectual selling. Effectual selling is focused on resource integration, stakeholder interaction, and value co-creation under environmental uncertainty. The effectual selling perspective developed here is consistent with the emerging service ecosystem view. As such, it is holistic and dynamic. Broadly, this investigation represents the longstanding and continuous effort to understand and articulate the important and evolving role of the salesperson. Several testable propositions are developed to facilitate further study of effectual selling behavior. Guided by the motivation, opportunity, ability (MOA) framework, the propositions suggest different salesperson characteristics, sales manager leader behaviors, and firm-level characteristics that will drive effectual selling behavior.
A Hierarchical Peer-to-Peer Energy Transaction Model Considering Prosumer's Green Energy Preference
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Authors: Park, Dae-Hyun; Park, Yong-Gi; Roh, Jae-Hyung; Lee, Kwang Y.; Park, Jong-Bae
Abstract
This paper presents a hierarchical peer-to-peer-energy transaction model (P2P-ETM) considering the renewable energy preference. The model divides the characteristics of energy into normal and green energy. Green energy was assumed to be more expensive than normal energy, and prosumers and consumers considered in this model assumed that they have a preference for this green energy. Prosumer and consumer can trade energy with each other and buy normal and green energy from the main-grid. Prosumer can also sell surplus energy to the main-grid. To solve the energy transaction problem, we present a hierarchical approach considering the energy transaction and prosumers' goal. The purpose of each prosumer such as energy purchase cost minimization or energy sales maximization for energy transaction is considered in the first step as the self-scheduling of prosumers. After prosumers' self-scheduling we derive the energy transaction price and energy trading capacity through social welfare maximization. The proposed methodology is tested and validated on a virtual network. Through a case study using mixed integer linear programming (MILP), this model has demonstrated a decrease in the total operation cost in accordance with energy trading.