Forward-looking focus - Can firms have adaptive foresight?

被引:97
作者
Zeithaml, Valarie A.
Bolton, Ruth N.
Deighton, John
Keiningham, Timothy L.
Lemon, Katherine N.
Petersen, J. Andrew
机构
[1] Boston Coll, Chestnut Hill, MA 02467 USA
[2] Univ N Carolina, Chapel Hill, NC 27515 USA
[3] Arizona State Univ, Tempe, AZ 85287 USA
[4] Harvard Univ, Sch Business, Cambridge, MA 02138 USA
[5] Univ Connecticut, Storrs, CT 06269 USA
关键词
customer equity; customer; customer focus; adaptive foresight; leading indicators;
D O I
10.1177/1094670506293731
中图分类号
F [经济];
学科分类号
02 ;
摘要
Customer metrics are pivotal to assessing and monitoring how firms perform with customers and other publics. The authors contend that customer metrics used by firms today are predominantly rear-view mirrors reporting the past or dashboards reporting the present. They argue that companies need to and can develop "adaptive foresight" to be positioned to predict the future by exploiting changes in the business environment and anticipating customer behavior. They address the need for adaptive foresight by synthesizing and integrating literature on customer metrics, customer relationship management, customer asset management, and customer portfolio management. They begin by reviewing the metrics that have been and are currently being used to capture customer focus. Next, they discuss possible "headlight" or forward-looking customer metrics that would allow firms to anticipate changes and provide opportunities to increase the value of the customer base. They then identify the conditions under which the new metrics would be appropriate and offer a process for developing adaptive foresight. The authors close by discussing the implications of adaptive foresight for successful customer asset management that increases long-run business performance.
引用
收藏
页码:168 / 183
页数:16
相关论文
共 101 条
[1]   When good brands do bad [J].
Aaker, J ;
Fournier, S ;
Brasel, SA .
JOURNAL OF CONSUMER RESEARCH, 2004, 31 (01) :1-16
[2]   Curvilinear effects of consumer loyalty determinants in relational exchanges [J].
Agustin, C ;
Singh, J .
JOURNAL OF MARKETING RESEARCH, 2005, 42 (01) :96-108
[3]   Predicting competitive response to a major policy change: Combining game-theoretic and empirical analyses [J].
Ailawadi, KL ;
Kopalle, PK ;
Neslin, SA .
MARKETING SCIENCE, 2005, 24 (01) :12-24
[4]   DIMENSIONS OF CONSUMER EXPERTISE [J].
ALBA, JW ;
HUTCHINSON, JW .
JOURNAL OF CONSUMER RESEARCH, 1987, 13 (04) :411-454
[5]  
Anderson E., 2000, J SERV RES-US, V3, P107, DOI DOI 10.1177/109467050032001
[6]   Customer satisfaction and shareholder value [J].
Anderson, EW ;
Fornell, C ;
Mazvancheryl, SK .
JOURNAL OF MARKETING, 2004, 68 (04) :172-185
[7]  
[Anonymous], 1991, ART LONG VIEW
[8]  
Baumann C, 2005, J FINANC SERV MARK, V9, P231, DOI 10.1057/palgrave.fsm.4770156
[9]   Customer relationship dynamics: Service quality and customer loyalty in the context of varying levels of customer expertise and switching costs [J].
Bell, SJ ;
Auh, S ;
Smalley, K .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2005, 33 (02) :169-183
[10]  
Berger PD, 1998, J INTERACT MARK, V12, P17