Assessing the mediating mechanism of relationship quality and the moderating effects of prior experience in ISP service

Purpose – To examine empirically the mediating role of relationship quality on the relationships between relational selling behavior, network quality, service recovery, and loyalty, and the moderating role of prior IT experience on the above relationships in ISP service. Design/methodology/approach – Data were obtained via questionnaires from randomly selected ADSL customers of Chunghwa Telecom. The constructs were measured using existing scales. SEM was used to examine the effects. Findings – Relational selling behavior, network quality, and service recovery indirectly influence loyalty through the mediation of relationship quality, consisting of satisfaction and trust. The effects of relational selling behavior on satisfaction and trust are stronger for inexperienced than for experienced customers. Those of network quality on satisfaction and trust are similar for both experienced and inexperienced customers. Those of service recovery on satisfaction and trust are stronger for experienced than for inexperienced customers. Research limitations/implications – There are three limitations. First, customer loyalty may be only partially reflected since it was measured by self-reports. Second, there may exist common method variance. Third, the generalizability of the findings might be limited. Practical implications – IT service organizations should invest in training programs and advertising campaigns, the ways of transferring information and services to users, to improve relationship quality. Managers should be careful not to try partnering initiatives with customers without knowing their prior IT experience. Originality/value – This study presents a thorough understanding of how relational selling behavior, network quality, and service recovery indirectly influence loyalty through satisfaction and trust, and how prior IT experience moderates the above relationships in ISP service.

[1]  S. Swanson,et al.  Attributions and Outcomes of the Service Recovery Process , 2001 .

[2]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[3]  J. Steenkamp,et al.  The Effects of Supplier Fairness on Vulnerable Resellers , 1995 .

[4]  D. W. Barclay,et al.  The Effects of Organizational Differences and Trust on the Effectiveness of Selling Partner Relationships , 1997 .

[5]  H. Kelley,et al.  The social psychology of groups , 1960 .

[6]  Andrew B. Whinston,et al.  Understanding the Service Component of Application Service Provision: An Empirical Analysis of Satisfaction with ASP Services , 2003, MIS Q..

[7]  David Bejou,et al.  The effects of gender on the development of relationships between clients and financial advisers , 1995 .

[8]  B. Lewis,et al.  Service failures and recovery in retail banking: the customers’ perspective , 2001 .

[9]  E. Anderson,et al.  The Antecedents and Consequences of Customer Satisfaction for Firms , 1993 .

[10]  M. Holbrook Aims, Concepts, and Methods for the Representation of Individual Differences in Esthetic Responses to Design Features , 1986 .

[11]  Prem Shamdasani,et al.  Determinants of Relationship Quality and Loyalty in Personalized Services , 2000 .

[12]  K. L. Granzin,et al.  Profiling the Male Fashion Innovator-- Another Step , 1976 .

[13]  W. Sasser,et al.  The profitable art of service recovery. , 1990, Harvard business review.

[14]  Fred Niederman,et al.  Issues and Concerns About Computer-Supported Meetings: The Facilitator's Perspective , 1996, MIS Q..

[15]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[16]  Steven Lysonski,et al.  Business‐to‐business marketing Service recovery and customer satisfaction issues with ocean shipping lines , 2000 .

[17]  Stefan Michel Analyzing service failures and recoveries: a process approach , 2001 .

[18]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[19]  B. R. Schlenker,et al.  The effects of personality and situational variables on behavioral trust. , 1973, Journal of personality and social psychology.

[20]  Y. Wong,et al.  Interactive selling: a dynamic framework for services , 2001 .

[21]  Lawrence A. Crosby,et al.  Relationship Quality in Services Selling: An Interpersonal Influence Perspective: , 1990 .

[22]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[23]  Russell H. Fazio,et al.  On the consistency between attitudes and behavior: Look to the method of attitude formation , 1977 .

[24]  S. Fournier,et al.  Preventing the premature death of relationship marketing. , 1998, Harvard business review.

[25]  Alan Dick,et al.  Customer loyalty: Toward an integrated conceptual framework , 1994 .

[26]  Tor W. Andreassen,et al.  Antecedents to satisfaction with service recovery , 2000 .

[27]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[28]  R. Westbrook Sources of consumer satisfaction with retail outlets. , 1981 .

[29]  C. Lovelock Classifying Services to Gain Strategic Marketing Insights , 1983 .

[30]  K. Jöreskog,et al.  Analysis of linear structural relationships by maximum likelihood, instrumental variables, and least sqsuares methods , 1986 .

[31]  Shaohan Cai,et al.  The key determinants of Internet banking service quality: a content analysis , 2001 .

[32]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[33]  John A. Czepiel,et al.  A role theory perspective on dyadic interactions: The service encounter. , 1985 .

[34]  L. Berry Relationship marketing of services—growing interest, emerging perspectives , 1995 .

[35]  Jagdip Singh,et al.  Measurement Issues in Cross-National Research , 1995 .

[36]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[37]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[38]  J. Sheth Buyer-Seller Interaction: a Conceptual Framework , 1975 .

[39]  Christo Boshoff,et al.  Empowerment, attribution and apologising as dimensions of service recovery , 1998 .

[40]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[41]  Christo Boshoff,et al.  The influence of selected antecedents on frontline staff’s perceptions of service recovery performance , 2000 .

[42]  Barbara Bund,et al.  Winning and Keeping Industrial Customers: The Dynamics of Customer Relationships , 1985 .

[43]  Dawn Iacobucci,et al.  Commercial and Interpersonal Relationships; Using the Structure of Interpersonal Relationships to Understand Individual-to-Individual, Individual-to-Firm, and Firm-to-Firm Relationships in Commerce , 1996 .

[44]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[45]  Lawrence A. Crosby,et al.  Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance Industry , 1987 .

[46]  Henry K. Y. Fock,et al.  Customer Satisfaction in the Hong Kong Mobile Phone Industry , 1999 .

[47]  Mark S. Johnson,et al.  The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships , 1999 .

[48]  G. Odekerken-Schröder,et al.  Investments in Consumer Relationships: A Cross-Country and Cross-Industry Exploration , 2001 .

[49]  J. E. Swan,et al.  How industrial salespeople gain customer trust , 1985 .

[50]  C. Heckler A Step-by-Step Approach to Using the SAS™ System for Factor Analysis and Structural Equation Modeling , 1996 .

[51]  T. Andreassen,et al.  From Disgust to Delight , 2001 .