Alternative pathways to utilizing customer knowledge: A fuzzy-set qualitative comparative analysis

This study explores alternative configurations of causes to customer knowledge utilization using a set theoretic approach with fuzzy set qualitative comparative analysis. The study uses a previous empirical dataset of Salojarvi, Sainio, and Tarkiainen (2010) to assess organizational factors that enhance customer knowledge utilization. The results show that use of key account management teams and customer relationship management systems are core predictors for high degrees of customer knowledge utilization. However, these core causes are not sufficient on their own; they need to be accompanied by different degrees (i.e. high/low) and combinations of other peripheral antecedents, such as customer relationship orientation, top management involvement, and formalization. This study shows that many firms make trade-off decisions regarding the use of these core and peripheral conditions. The present study identifies alternative pathways to customer knowledge utilization, discuss their differences, and suggest managerial implications and future research directions.

[1]  Charles C. Ragin,et al.  Redesigning social inquiry , 2008 .

[2]  C. Moorman.  Organizational Market Information Processes: Cultural Antecedents and New Product Outcomes , 1995 .

[3]  Regina C. McNally,et al.  Executive Insights: Global Account Management Capability: Insights from Leading Suppliers , 2005 .

[4]  Javier Marcos-Cuevas,et al.  Implementing key account management: Intraorganizational practices and associated dilemmas , 2014 .

[5]  Christian Homburg,et al.  A Configurational Perspective on Key Account Management , 2002 .

[6]  Arch G. Woodside,et al.  Cultural Diversity and Marketing Transactions: Are Market Integration, Large Community Size, and World Religions Necessary for Fairness in Ephemeral Exchanges? , 2013 .

[7]  J. Katzenbach,et al.  The discipline of teams. , 1993, Harvard business review.

[8]  J. Armstrong.  Illusions in regression analysis , 2012 .

[9]  W. Bennis,et al.  The Social Psychology of Organizations , 1966 .

[10]  Liisa-Maija Sainio,et al.  Organizational factors enhancing customer knowledge utilization in the management of key account relationships , 2010 .

[11]  Personal Selling as a Knowledge-Based Activity: Communities of Practice in the Sales Force , 2005 .

[12]  Hanna Salojärvi,et al.  Customer knowledge processing and key account performance , 2010 .

[13]  Charalampos Saridakis,et al.  Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis , 2014 .

[14]  Isabelle Le Breton-Miller,et al.  The paradox of resource vulnerability: Considerations for organizational curatorship , 2015 .

[15]  Rodrigo Guesalaga.  Top management involvement with key accounts: The concept, its dimensions, and strategic outcomes , 2014 .

[16]  Subhash Sharma,et al.  The Role of Relational Information Processes and Technology Use in Customer Relationship Management , 2005 .

[17]  K. Weick.  The social psychology of organizing , 1969 .

[18]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[19]  W. Johnston,et al.  Customer information utilization in business-to-business markets: Muddling through process? , 2012 .

[20]  Mihai Paunescu,et al.  Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance , 2010 .

[21]  Thomas Elliott,et al.  FUZZY SET QUALITATIVE COMPARATIVE ANALYSIS , 2013 .

[22]  A. Woodside.  Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory , 2013 .

[23]  R. Kahn,et al.  The Social Psychology of Organizations , 1966 .

[24]  Malcolm McDonald,et al.  Key account management: Theory, practice and challenges , 1997 .

[25]  Peer C. Fiss.  Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .

[26]  Alex Stein,et al.  The development and diffusion of customer relationship management (CRM) intelligence in business-to-business environments , 2013 .

[27]  Aino Halinen,et al.  Customer knowledge transfer and key account management in professional service organizations , 2006 .

[28]  D. Turley,et al.  Personal selling as knowledge-based activity: communities of practice in sales , 2005 .

[29]  Thomas Greckhamer,et al.  Cross-cultural Differences in Compensation Level and Inequality across Occupations: A Set-theoretic Analysis , 2011 .

[30]  A. Joshi,et al.  Customer Knowledge Development: Antecedents and Impact on New Product Performance , 2004 .

[31]  Donal Crilly,et al.  Predicting stakeholder orientation in the multinational enterprise: A mid-range theory , 2011, Research Methods in International Business.

[32]  Minna Rollins,et al.  Does customer information usage improve a firm's performance in business-to-business markets? , 2012 .

[33]  Charles C. Ragin,et al.  Fuzzy-Set Social Science , 2001 .

[34]  Alexandra J. Campbell.  Creating customer knowledge competence: managing customer relationship management programs strategically , 2003 .

[35]  S. Gounaris,et al.  Relational key account management: Building key account management effectiveness through structural reformations and relationship management skills , 2014 .