A qualitative study of leader behaviors perceived to enable salesperson performance

Abstract

This study builds on and extends previous sales leadership research by exploring sales professionals’ perceptions of effective leadership behaviors. Semistructured interviews with both sales leaders and salespeople working in a global enterprise software company were examined through a qualitative analysis. Results indicated that participants believed sales leadership played an important role in influencing sales performance. When asked to describe specific sales leader behaviors that best enable salesperson performance, sales professionals – both sales leaders and salespeople – overwhelmingly referenced coaching, followed by collaborating, championing, and customer engaging. We define and describe these four key sales leader behaviors and identify four potential mediating variables (trust, confidence, optimism, and resilience), from which emerges a conceptual framework of sales leader behaviors perceived to enable salesperson performance. We examine these four key sales leader behaviors and mediators in the broader context of leadership theory, particularly transformational, servant, authentic, and adaptive leadership theories. The key contribution of this study is the identification of a set of leader behaviors that are likely to be especially effective in modern sales organizations given that they originated from the perceptions of sales professionals themselves.     

开创替代宗教的世俗人文主义之路

有两个问题常常被人们提及。第一个是为什么宗教可以持续至今?第二个是我们是否可以创造出世俗人文的替代品。对于为什么宗教可以一直延续这个问题,众说纷纭。     

Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology

A theoretical structure for multiattribute decision making is presented, based on a dynamical system for interactions in a neural network incorporating affective and rational variables. This enables modeling of problems that elude two prevailing economic decision theories: subjective expected utility theory and prospect theory. The network is unlike some that fit economic data by choosing optimal weights or coefficients within a predetermined mathematical framework. Rather, the framework itself is based on principles used elsewhere to model many other cognitive and behavioral data, in a manner approximating how humans perform behavioral functions. Different, interconnected modules within the network encode (a) attributes of objects among which choices are made, (b) object categories, (c) and goals of the decision maker. An example is utilized to simulate the actual consumer choice between old and new versions of Coca-Cola. Potential applications are also discussed to market decisions involving negotiations between participants, such as international petroleum traders.