Electronic Integration in the Air Cargo Industry: An Information Processing Model of On-Time Performance

This study examines electronic integration in logistics supply chains using the non-integrated US-international air cargo industry as a case study. We ask what impact electronic integration has on interorganizational task performance, and hypothesize about factors limiting the effectiveness of electronic integration. Surprisingly, our study does not find evidence of direct impacts of electronic integration on performance though it does find evidence of indirect impacts of information systems use and performance. The findings suggest that the use of electronic integration as a strategy to improve operational performance across firms is limited by the nature of the interorganizational task, environmental dynamism, and the power relationship between firms in the supply chain.

[1]  R. Kramer,et al.  Trust in Organizations: Frontiers of Theory and Research , 1995 .

[2]  J. Huigen,et al.  Information and communication technology in the context of policy networks , 1993 .

[3]  George C. Jackson,et al.  Conflict, power, and evolution in the intermodal transportation industry's channel of distribution , 2000 .

[4]  Milton Harris,et al.  Organization Design , 2000, Manag. Sci..

[5]  C. Coulton,et al.  Interaction Effects in Multiple Regression , 1993 .

[6]  Paul J. Hart,et al.  Power and Trust: Critical Factors in the Adoption and Use of Electronic Data Interchange , 1997 .

[7]  R. Emerson.  Power-Dependence Relations , 1962, Power in Modern Societies.

[8]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

[9]  W. C. Benton,et al.  Power Influences in the Supply Chain , 2000 .

[10]  Aneil Mishra.  ORGANIZATIONAL RESPONSES TO CRISIS: THE CENTRALITY OF TRUST , 1996 .

[11]  James L. McKenney,et al.  Airline Reservations Systems: Lessons from History , 1988, MIS Q..

[12]  Michael L. Tushman,et al.  Information Processing as an Integrating Concept in Organizational Design. , 1978 .

[13]  L. Kanuk,et al.  Mail Surveys and Response Rates: A Literature Review , 1975 .

[14]  C. Judd,et al.  Statistical difficulties of detecting interactions and moderator effects. , 1993, Psychological bulletin.

[15]  Akbar Zaheer,et al.  Electronic integration and strategic advantage: a quasi-experimental study in the insurance industry , 1989, ICIS '89.

[16]  Jay R. Galbraith.  Designing Complex Organizations , 1973 .

[17]  T. C. Powell,et al.  Information technology as competitive advantage: the role of human , 1997 .

[18]  Donald J. Bowersox,et al.  Logistical Management: The Integrated Supply Chain Process , 1974 .

[19]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[20]  Kuldeep Kumar,et al.  Sustainable Collaboration: Managing Conflict and Cooperation in Interorganizational Systems , 1996, MIS Q..

[21]  Jeffrey D. Kromrey,et al.  Mean Centering in Moderated Multiple Regression: Much Ado about Nothing , 1998 .

[22]  Tridas Mukhopadhyay,et al.  Impact of electronic data interchange technology on quality improvement and inventory reduction programs: A field study , 1992 .

[23]  A. Zaheer,et al.  Does Trust Matter? Exploring the Effectsof Interorganizational and Interpersonaltrust on Performance , 1998 .

[24]  Deborah Estrin,et al.  Inter-organization networks, computer integration, and shifts in interdependence: the case of the semiconductor industry , 1991, TOIS.

[25]  N. Venkatraman,et al.  Configurations of inter-organizational relationships : a comparison between US and Japanese automakers , 1995 .

[26]  Eric K. Clemons,et al.  Limits to Interfirm Coordination through Information Technology: Results of a Field Study in Consumer Packaged Goods Distribution , 1993, J. Manag. Inf. Syst..

[27]  P. Lawrence,et al.  Organization and environment , 1967 .

[28]  Rob Kling,et al.  The Institutional Character of Computerized Information Systems , 1989 .