Добавил:
Upload Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

6. Information logistics логистика

.pdf
Скачиваний:
5
Добавлен:
29.05.2015
Размер:
1.14 Mб
Скачать

Brynjolfsson, E., and Hitt, L. M. 2000. “Beyond Computation: Information Technology, Organizational Transformation and Business Performance,” Journal of Economic Perspectives

(14:4), pp. 23-48.

Cachon, G. P., and Fisher, M. 2000. “Supply Chain Inventory Management and the Value of Shared Information,” Management Science (46:8), August, pp. 1032-1048.

Caillaud, B., and Jullien, B. 2003. “Chicken and Egg: Competition Among Intermediation Service Providers,” The Rand Journal of Economics (34:2), Summer, pp. 309-328.

Campbell, D. T. 1955. “The Informant in Quantitative Research,”

American Journal of Sociology (60:4), January, pp. 339-342. Chen, F., Drezner, Z., Ryan, J. K., and Simchi-Levi, D. 2000.

“Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information,” Management Science (46:3), March, pp. 436-443.

Chen, I. J., and Paulraj, A. 2004. “Towards a Theory of Supply Chain Management: The Constructs and Measurements,”

Journal of Operations Management (22:2), April, pp. 119-150. Chin, W. W. 1998. “The PLS Approach to SEM,” in Modern Methods for Business Research, G. A. Marcoulides (ed.),

Mahwah, NJ: Lawrence Erlbaum Associates, pp. 295-336. Chin, W. W., Marcolin, B. L., and Newsted, P. R. 2003. “A Partial

Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study,” Information Systems Research (14:2), June, pp. 189-220.

Clemons, E. K., and Hitt, L. M. 2004. “Poaching and the Misappropriation of Information: Transaction Risks of Information Exchange,” Journal of Management Information Systems (21:2), Fall, pp. 87-107.

Clemons, E. K., and Row, M. C. 1993. “Limits to Interfirm Coordination through Information Technology: Results of a Field Study in Consumer Packaged Goods Distribution,” Journal of Management Information Systems (10:1), Summer, pp. 73-96.

Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Hillsdale, NJ: Lawrence Erlbaum Associates.

Cohen, J. 1992. “A Power Primer,” Psychological Bulletin (112:1), July, pp. 155-159.

DeLone, W., and McLean, E. 1992. “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research (3:1), March, pp. 60-95.

DeLone, W. D., and McLean, E. R. 2003. “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update,” Journal of Management Information Systems (19:4), Spring, pp. 9-30.

Deutsch, M. 1958. “Trust and Suspicion,” Journal of Conflict Resolution (2:4), pp. 265-279.

Diamantopoulos, A. 2006. “The Error Term in Formative Measurement Models: Interpretation and Modeling Implications,”

Journal of Modeling Management (1:1), pp. 7-17. Diamantopoulos, A., and Siguaw, J. A. 2006. “Formative Versus

Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration,” British Journal of Management (17:4), December, pp. 263-282.

Klein & Rai/Strategic Information Flows

Diamantopoulos, A., and Winklhofer, H. M. 2001. “Index Construction with Formative Indicators: An Alternative to Scale Development,” Journal of Marketing Research (38:2), May, pp. 269-277.

Doz, Y. L. 1987. “Technology Partnerships between Larger and Smaller Firms: Some Critical Issues,” International Studies of Management and Organization (17:4), Winter, pp. 31-58.

Dwyer, F. R., Schurr, P. H., and Oh, S. 1987. “Developing Buyer–Supplier Relationships,” Journal of Marketing (51:2), April, pp. 11-27.

Dyer, J. H. 1996. “Specialized Supplier Networks as a Source of Competitive Advantage: Evidence from the Auto Industry,”

Strategic Management Journal (17:4), April, pp. 271-292. Dyer, J. H., and Singh, H. 1998. “The Relational View: Coopera-

tive Strategy and Sources of Interorganizational Competitive Advantage,” Academy of Management Review (23:4), October, pp. 660-679.

Edwards, J. R., and Bagozzi, R. P. 2000. “On the Nature and Direction of Relationships Between Constructs and Measures,” Psychological Methods (5:2), June, pp. 155-174.

Eyuboglu, N., and Buja, A. 2007. “Quasi-Darwinian Selection in Marketing Relationships,” Journal of Marketing (71:4), October, pp. 48-62.

Fein, A. J., and Anderson, E. 1997. “Patterns of Credible Commitments: Territory and Brand Selectivity in Industrial Distribution Channels,” Journal of Marketing (61:2), April, pp. 19-34.

Ganesan, S. 2000. “Determinants of Long-Term Orientation in Buyer Seller Relationships,” Journal of Marketing (58:2), pp. 50-69.

Gefen, D., Straub, D. W., and Boudreau, M. C. 2000. “Structural Equation Modeling and Regression: Guidelines for Research Practice,” Communications of the Association for Information Systems (4:7), August, pp. 1-77.

Gosain, S., Malhotra, A., and El Sawy, O. A. 2004. “Coordinating for Flexibility in e-Business Supply Chains,” Journal of Management Information Systems (7:3), Winter, pp. 7-45.

Granovetter, M. 1985. “Economic Action and Social Structure: The Problem of Embeddedness,” American Journal of Sociology (91:3), pp. 481-510.

Grover, V., Teng, J. T. C., and Fiedler, K. D. 2003. “Investigating the Role of Information Technology in Building Buyer–Supplier Relationships,” Journal of the Association for Information Systems (3:7), March, pp. 217-245.

Gulati, R. 1995. “Does Familiarity Breed Trust? The Implications of Repeated Ties for Contractual Choice Alliances,” Academy of Management Journal (38:1), February, pp. 85-112.

Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C. 1998. Multivariate Data Analysis (5th ed.), Upper Saddle River, NJ: Prentice Hall.

Han, K., Kaufman, R. J., and Nault, B. R. 2004. “Information Exploitation and Interorganizational Systems Ownership,”

Journal of Management Information Systems (21:2), Fall, pp. 109-135.

Hitt, L. M., Wu, D. J., and Zhou, X. 2002. “Investment in Enterprise Resource Planning: Business Impact and Productivity

MIS Quarterly Vol. 33 No. 4/December 2009

755

Klein & Rai/Strategic Information Flows

Measures,” Journal of Management Information Systems (19:1), Summer, pp. 71-98.

Homburg, C., Workman Jr., J. P., and Jensen, O. 2002. “A Configurational Perspective on Key Account Management,” Journal of Marketing (66:2), April, pp. 38-60.

Huber, G. P., and Power, D. J. 1980. “Retrospective Reports of Strategic-Level Managers: Guidelines for Increasing Their Accuracy,” Strategic Management Journal (6:2), April-June, pp. 171-180.

Iacobucci, D., and Hopkins, N. 1992. “Modeling Dyadic Interactions and Networks in Marketing,” Journal of Marketing Research (29:1), February, pp. 5-17.

Jarvis, C. B., Mackenzie, S. B., and Podsakoff, P. M. 2003. “A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research,” Journal of Consumer Research (30:2), September, pp. 199-218.

Jayachandran, S., Sharma, S., Kaufman, P., and Raman, P. 2005. “The Role of Relational Information Processes and Technology Use in Customer Relationship Management,” Journal of Marketing (69:4), October, pp. 177-192.

John, G., and Reve, T. 1982. “The Reliability and Validity of Key Informant Data,” Journal of Marketing Research (19:4), November, pp. 517-524.

Johnson, J. L., Cullen, J. B., Sakano, T., and Takenouchi, H. 1996. “Setting the Stage for Trust and Strategic Integration in Japanese- U.S. Cooperative Alliances,” Journal of International Business Studies (27:5), pp. 981-1004.

Joskow, P. L. 1988. “Asset Specificity and the Structure of Vertical Relationships: Empirical Evidence,” Journal of Law, Economics, and Organization (4:1), Spring, pp. 95-117.

Kirsch, L. J., Sambamurthy, V., Ko, D. G., and Purvis, R. L. 2002. “Controlling Information Systems Development Projects: The View from the Client,” Management Science (48:4), April, pp. 484-498.

Klein, R. 2007. “Customization and Real Time Information Access in Integrated eBusiness Supply Chain Relationships,” Journal of Operations Management (25:6), November, pp. 1366-1381.

Klein, R., Rai, A., and Straub, D. 2007. “Competitive and Cooperative Positioning in Supply Chain Logistics Relationships,” Decision Sciences (38:4), November, pp. 611-646.

Kotabe, M., Martin, X., and Domoto, H. 2003. “Gaining From Vertical Partnerships: Knowledge Transfer, Relationship Duration, and Supplier Performance Improvement in the U.S. and Japanese Automotive Industries,” Strategic Management Journal (24:4), April, pp. 293-316.

Kulp, S. C., Lee, H. L., and Ofek, E. 2004. “Manufacturer Benefits from Information Integration with Retail Customers,” Management Science (50:4), April, pp. 431-444.

Lave, L. B. 1962. “An Empirical Approach to the Prisoner’s Dilemma Game,” Quarterly Journal of Economics (75:3), August, pp. 424-464.

Lee, H. L., So, K. C., and Tang, C. S. 2000. “The Value of Information Sharing in a Two-Level Supply Chain,” Management Science (46:5), May, pp. 626-643.

MacCallum, R. C., and Browne, M. W. 1993. “The Use of Causal Indicators in Covariance Structure Models: Some Practical Issues,” Psychological Bulletin (117:3), November, pp. 533-541.

Malhotra, A., Gosain, S., and El Sawy, O. A. 2005. “Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-Enabled Market Knowledge Creation,” MIS Quarterly (29:1), March, pp. 145-187.

Malhotra, A., Gosain, S., and El Sawy, O. A. 2007. “Leveraging Standard Electronic Business Interfaces to Enable Adaptive Supply Chain Partnerships,” Information Systems Research

(18:3), September, pp. 260-279.

Marcoulides, G. A., and Saunders, C. 2006. “PLS: A Silver Bullet?,” MIS Quarterly (30:2), June, pp. iii-ix.

Mayer, R. C., Davis, J. H., and Schoorman, F. D. 1995. “An Integrative Model of Organizational Trust,” Academy of Management Review (20:3), July, pp. 709-734.

McKnight, D. H., Choudhury, V., and Kacmar, C. 2002. “Developing and Validating Trust Measures for e-Commerce: An Integrative Typology,” Information Systems Research (13:3), September, pp. 334-359.

Morgan, R. M., and Hunt, S. D. 1994. “The Commitment–Trust Theory of Relationship Marketing,” Journal of Marketing (58:3), July, pp. 20-38.

Nunnally, J. C., and Bernstein, I. H. 1994. Psychometric Theory (3rd ed.), New York: McGraw-Hill.

Oliver, C. 1997. “Sustainable Competitive Advantage: Combining Institutional and Resource-Based Views,” Strategic Management Journal (18:9), pp. 697-714.

Patnayakuni, R., Rai, A., and Seth, N. 2006. “Relational Antecedents of Information Flow Integration for Supply Chain Coordination,” Journal of Management Information Systems

(23:1), Summer, pp. 13-49.

Payne, A., and Frow, P. 2005. “A Strategic Framework for Customer Relationship Management,” Journal of Marketing (69:4), October, pp. 167-176.

Pedhazur, E. J. 1997. Multiple Regression in Behavioral Research: Explanation and Prediction, New York: Hartcourt Brace College Publishers.

Petter, S., Straub, D., and Rai, A. 2007. “Specifying Formative Constructs in Information Systems Research,” MIS Quarterly (31:4), December, pp. 623-656.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. 2003. “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies,”

Journal of Applied Psychology (88:5), October, pp. 879-903. Podsakoff, P. M., and Organ, D. W. 1986. “Self-Reports in Organi-

zational Research: Problems and Prospects,” Journal of Management (12:4), Winter, pp. 531-545.

Porter, M. E. 1980. Competitive Strategy, New York: Free Press. Raghunathan, S. 2001. “Information Sharing in a Supply Chain:

A Note on its Value When Demand Is Nonstationary,” Management Science (47:4), April, pp. 605-609.

Rai, A., Patnayakuni, N., and Patnayakuni, R. 2006. “Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities,” MIS Quarterly (30:2), June, pp. 225-246.

756 MIS Quarterly Vol. 33 No. 4/December 2009

Ravichandran, T., and Rai, A. 2000. “Quality Management in Systems Development: An Organizational System Perspective,” MIS Quarterly (24:3), September, pp. 381-415.

Richard, P. J., and Devinney, T. M. 2005. “Modular Strategies: B2B Technology and Architectural Knowledge,” California Management Review (47:4), Summer, pp. 86-113.

Rigdon, E. E. 1995. “A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice,” Multivariate Behavioral Research (30:3), pp. 359-383.

Riggins, F. J., Kriebel, C. H., and Mukhopadhyay, T. 1994. “The Growth of Interorganizational Systems in the Presence of Network Externalities,” Management Science (40:8), August, pp. 984-998.

Rindskopf, D. 1984. “Using Phantom and Imaginary Latent Variables to Parameterize Constraints in Linear Structural Models,” Psychometrika (49:1), March, pp. 37-47.

Ring, P. S., and Van de Ven, A. H. 1992. “Structuring Cooperative Relationships Between Organizations,” Strategic Management Journal (13:7), October, pp. 483-498.

Rossiter, J. R. 2002. “The C-OAR-SE Procedure for Scale Development in Marketing,” International Journal of Marketing Research (19:4), December, pp. 305-335.

Russell, J. D. 2002. “Getting Grounded; New Technology Lets FedEx Handle Customers with Care,” VARbusiness, April 15, p. 36.

Sackett, P. R., and Larson Jr., J. R. 1990. “Research Strategies and Tactics in Industrial and Organizational Psychology,” in

Handbook of Industrial and Organizational Psychology, M. D. Dunnette and L. M. Hough (eds.), Palo Alto, CA: Consulting Psychologists Press, pp. 419-489.

Seidmann, A., and Sundararajan, A. 1997. “The Effects of Task and Information Asymmetry on Business Process Redesign,”

International Journal of Production Economics (50:2/3), pp. 117-128.

Serva, M. A., Benamati, J. S., and Fuller, M. A. 2005. “Trustworthiness in B2C e-Commerce: An Examination of Alternative Models,” The Data Base: Advances in Information Systems

(36:3), Summer, pp. 89-108.

Straub, D. W. 2004. Foundations of Net-Enhanced Organizations, Hoboken, NJ: John Wiley & Sons, Inc.

Straub, D. W., Boudreau, M. C., and Gefen, D. 2004a. “Validation Guidelines for IS Positivist Research,” Communications of the Association for Information Systems (13:24), April, pp. 380-427.

Straub, D. W., Rai, A., and Klein, R. 2004b. “Measuring Firm Performance at the Network Level: A Nomology for the Impact of Digital Supply Networks,” Journal of Management Information Systems (21:1), Summer, pp. 83-114.

Tapscott, D., Ticoll, D., and Lowy, A. 2000. Digital Capital: Harnessing the Power of Business Webs, Boston: Harvard Business School Press.

Uzzi, B. 1997. “Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness,” Administrative Science Quarterly (42:1), March, pp. 35-67.

Klein & Rai/Strategic Information Flows

Uzzi, B., and Lancaster, R. 2003. “Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients,” Management Science (49:4), April, pp. 383-399.

Van Bruggen, G. H., Lilien, G. L., and Kacker, M. 2002. “Informants in Organizational Marketing Research: Why Use Multiple Informants and How to Aggregate Responses,” Journal of Marketing Research (39:1), November, pp. 469-478.

Wang, E. T. G., and Seidmann, A. 1995. “Electronic Data Interchange: Competitive Externalities and Strategic Implementation Policies,” Management Science (41:3), March, pp. 401-418.

Wernerfelt, B. 1984. “A Resource-Based View of the Firm,” Strategic Management Journal (5:2), pp. 171-181.

Williamson, O. E. 1983. “Credible Commitments: Using Hostages to Support Exchange,” American Economic Review (73:4), September, pp. 519-540.

Williamson, O. E. 1985. The Economic Institutions of Capitalism, New York: Free Press.

Yoffie, D. B., and Mack, B. J. 2005. “Wal-Mart, 2005,” Case 9-705-460, Harvard Business School, Cambridge, MA.

About the Authors

Richard Klein is an associate professor in the Department of Management at Clemson University’s College of Business and Behavioral Science. His research has been published in top journals, including Decision Sciences, European Journal of Information Systems, Journal of Management Information Systems, and Journal of Operations Management. Dr. Klein has presented his work at national and international conferences, including the Annual Meeting of the Academy of Management, the Americas Conference on Information Systems, the European Conference on Information Systems, and the Institute for Operations Research and the Management Sciences Annual Meeting. He serves as an associate editor for European Journal of Information Systems.

Arun Rai is Regents’ Professor and the Harkins Chair in the Center for Process Innovation and the Department of Computer Information Systems at the Robinson College of Business, Georgia State University. His research focuses on understanding interorganizational relationships and IT-enabled innovation. His articles have appeared in Management Science, MIS Quarterly, Decision Sciences, European Journal of Operations Research, IEEE Transactions on Engineering Management, Information Systems Research, Journal of Management Information Systems, and others journals. He serves as a senior editor for Information Systems Research and as an associate editor for Journal of MIS. He has also served as a senior editor for Journal of Strategic Information Systems and as an associate editor for Management Science and MIS Quarterly. His research has been sponsored by leading corporations, including A. T. Kearney, Bozell Worldwide, Daimler-Chrysler, Deutsche Bank, Gartner, Georgia-Pacific, IBM, Intel, UPS, SAP, and SunTrust.

MIS Quarterly Vol. 33 No. 4/December 2009

757

Klein & Rai/Strategic Information Flows

Appendix A

Constructs and Measures

 

 

Observed

 

Standard

Observed

 

Standard

 

 

Range

Mean

Deviation

Range

 

Mean

Deviation

Strategic Information Flows

Buyer to Supplier

Supplier to Buyer

Our organization shares the following types of information with this

 

 

 

 

 

 

 

business partner:

 

 

 

 

 

 

 

Inventory/capacity planning

1–7

2.86

2.61

1–7

 

5.23

.96

Production schedules

1–7

3.12

1.80

1–7

 

5.00

1.08

Cost structures

1–7

2.73

2.15

1–7

 

4.59

1.21

Margin structures

1–7

2.40

2.71

1–7

 

4.67

1.22

Marketing strategies

1–7

3.31

1.96

1–7

 

5.07

.67

Demand patterns

1–7

3.01

2.05

 

 

 

 

Decision-making processes

1–7

2.85

2.33

 

 

 

 

Decision-making criteria

1–7

2.90

1.89

 

 

 

 

Pricing schedules plans

 

 

 

1–7

 

4.99

1.30

Product/services in development

 

 

 

1–7

 

5.10

1.80

Support strategies

 

 

 

1–7

 

 

1.10

 

 

 

 

4.80

Relationship-Specific Performance

 

Buyer

 

 

 

Supplier

 

Our organization has realized the following performance outcomes

 

 

 

 

 

 

 

as a result of our interactions with this business partner:

 

 

 

 

 

 

 

Improved asset management

1–7

4.77

1.54

1–7

 

3.97

1.56

Increased productivity

1–7

4.98

1.55

2–7

 

4.07

1.61

Lower operating costs

1–7

5.09

1.55

1–7

 

4.07

1.66

Improved production planning

1–7

5.05

1.51

1–7

 

4.19

1.66

Improved resource control

1–7

4.84

1.61

1–7

 

3.98

1.61

Increased flexibility

2–7

 

 

1–7

 

1.70

5.13

1.57

 

4.10

 

 

 

 

 

N/A: data collected from one

Buyer Dependence on Supplier

 

Buyer

 

 

logistics vendor

Percentage of our overall logistics needs serviced by this

1–10

6.67

2.207

 

 

 

 

 

business partner.

 

 

 

 

 

 

 

 

 

 

 

 

N/A: data collected from one

Buyer IT Customization

 

Buyer

 

 

logistics vendor

Our organization uses uniquely built or customized, rather than

1–7

4.48

1.73

 

 

 

 

 

canned or generic, applications to facilitate information

 

 

 

 

 

 

 

 

exchanges with our partner.

 

 

 

 

 

 

 

The applications that are used to facilitate information

1–7

4.46

1.66

 

 

 

 

 

exchanges with our partner can be described on a scale from

 

 

 

 

 

 

 

 

generic to customized.

 

 

 

 

 

 

 

What percentage of applications are customized, i.e., developed

1–7

3.77

1.57

 

 

 

 

 

expressly to manage interactions and flows of information

 

 

 

 

 

 

 

 

between your organization and this business partner?*

 

 

 

 

 

 

 

*The third IT customization item employed a 10-point ordinal scale that specified the percentages of applications from 0–10% to 91–100%. For analysis, this measure was rescaled to a 1-7 range, so that all three items for IT customization ranged from 1 through 7.

758 MIS Quarterly Vol. 33 No. 4/December 2009

Klein & Rai/Strategic Information Flows

 

Observed

 

Standard

Observed

 

Standard

 

Range

Mean

Deviation

Range

Mean

Deviation

Trusting Beliefs

Buyer in Supplier

Supplier in Buyer

Ability

 

 

 

 

 

 

• Our business partner is competent and effective in their

2–7

4.74

1.55

2–7

4.51

1.71

interactions with our organization.

 

 

 

 

 

 

• Our business partner performs all of their roles very well.

2–7

4.97

1.52

2–7

4.53

1.58

• Overall, this business partner is capable and proficient.

2–7

4.98

1.53

2–7

4.56

1.50

• In general, this business partner is knowledgeable about their

2–7

4.98

1.58

2–7

4.62

1.86

industry and business operations.

 

 

 

 

 

 

Benevolence

 

 

 

 

 

 

• Our organization believes that this business partner would act in

2–7

5.47

1.45

2–7

4.58

1.63

our best interest.

 

 

 

 

 

 

• If our organization required help, this business partner would do

2–7

5.42

1.57

2–7

4.66

1.63

their best to provide assistance.

 

 

 

 

 

 

• This business partner is interested in our organization’s well

2–7

5.30

1.52

2–7

4.82

1.56

being and not just its own.

 

 

 

 

 

 

Integrity

 

 

 

 

 

 

• This business partner is truthful in their dealings with our

2–7

5.34

1.37

2–7

4.88

1.52

organization.

 

 

 

 

 

 

• Our organization would characterize this business partner as

3–7

5.49

1.26

2–7

4.90

1.58

being honest.

 

 

 

 

 

 

• This business partner keeps their commitments.

2–7

5.24

1.39

1–7

4.74

1.58

• This business partner is sincere and genuine.

2–7

5.18

1.36

2–7

4.91

1.61

Appendix B

ANOVA Test for Nonresponse Bias

(1) Early Versus Late Respondents

 

 

 

 

 

Factor

Group

Sum of Squares

Mean Square

F

Sig.

Primary Industry

Between

6.500

6.500

.413

.521

 

Within

2421.109

15.721

 

 

 

Total

2427.609

 

 

 

Primary Location

Between

.841

.841

.268

.606

 

Within

483.518

3.140

 

 

 

Total

484.359

 

 

 

Number of Employees

Between

.732

.732

.149

.700

 

Within

756.877

4.915

 

 

 

Total

757.609

 

 

 

Years with the Organization

Between

18.701

18.701

1.975

.162

 

Within

1458.273

9.469

 

 

 

Total

1476.974

 

 

 

Gender

Between

.008409

.008409

.044

.835

 

Within

29.735

.193

 

 

 

Total

29.744

 

 

 

Years Work Experience

Between

25.952

25.952

1.223

.270

 

Within

3266.638

21.212

 

 

 

Total

3292.59

 

 

 

Years IT Experience

Between

.655

.655

.221

.639

 

Within

456.492

2.964

 

 

 

Total

457.147

 

 

 

Years Relationship Management Experience

Between

28.999

28.999

1.831

.178

 

Within

2439.226

15.839

 

 

 

Total

2468.224

 

 

 

MIS Quarterly Vol. 33 No. 4/December 2009

759

Klein & Rai/Strategic Information Flows

(2) Responding Versus Nonresponding Client Firms

 

 

 

 

 

 

 

Mean Square

 

 

Factor

Group

Sum of Squares

F

Sig.

Client Organization Primary Industry

Between

.895

.895

.056

.814

 

Within

2906.624

16.059

 

 

 

Total

2907.519

 

 

 

Client Organization Primary Location

Between

.731

.731

.252

.616

 

Within

524.297

2.897

 

 

 

Total

525.027

 

 

 

Relationship Longevity

Between

.06894

.06894

.008

.930

 

Within

1601.188

8.846

 

 

 

Total

1601.257

 

 

 

(3) Responding Versus Nonresponding Vendor Representative

 

 

 

 

Factor

Group

Sum of Squares

Mean Square

F

Sig.

Years with the Organization

Between

21.537

21.537

.468

.318

 

Within

1579.720

8.728

 

 

 

Total

1601.257

 

 

 

Gender

Between

.003865

.003865

.020

.888

 

Within

35.406

.196

 

 

 

Total

35.410

 

 

 

Supervisor

Between

.009931

.009931

.001

.975

 

Within

1769.617

10.112

 

 

 

Total

1769.627

 

 

 

(4) Unmatched Versus Matched Vendor Respondents

 

 

 

 

Factor

Group

Sum of Squares

Mean Square

F

Sig.

Primary Industry

Between

123.528

123.528

.896

.306

 

Within

2033.714

15.644

 

 

 

Total

2157.242

 

 

 

Primary Location

Between

6.139

6.139

1.174

.243

 

Within

367.157

2.824

 

 

 

Total

373.295

 

 

 

Years with the Organization

Between

62.621

62.621

.462

.304

 

Within

962.008

7.400

 

 

 

Total

1024.629

 

 

 

Gender

Between

.004924

.004924

.026

.871

 

Within

24.238

.186

 

 

 

Total

24.242

 

 

 

Years Work Experience

Between

39.750

39.750

1.354

.247

 

Within

3817.492

29.365

 

 

 

Total

3857.242

 

 

 

Years IT Experience

Between

43.226

43.226

1.185

.233

 

Within

370.069

2.847

 

 

 

Total

413.295

 

 

 

Years Relationship Management Experience

Between

42.441

42.441

.024

.878

 

Within

2431.468

18.704

 

 

 

Total

2431.909

 

 

 

760 MIS Quarterly Vol. 33 No. 4/December 2009

Klein & Rai/Strategic Information Flows

Appendix C

Exploratory Factor Analysis Results

Items

Dimension

1

2

3

4

5

6

BTS1

 

.71

.22

.25

.03

-.09

.10

BTS2

Ability, Buyer in Supplier

.80

.29

.28

.12

-.10

.14

BTS3

.76

.30

.33

.18

-.21

.13

 

BTS4

 

.84

.31

.26

.21

-.07

.12

BTS5

 

.31

.69

.22

.02

.19

.17

BTS6

Benevolence, Buyer in Supplier

.22

.72

.24

.01

.18

.13

BTS7

 

.29

.64

.22

.19

.01

.14

BTS8

 

.27

.17

.73

.07

.01

.05

BTS9

Integrity, Buyer in Supplier

.21

.23

.80

.05

.01

-.03

BTS10

.20

.18

.76

.04

.02

.03

 

BTS11

 

.18

.20

.69

.05

.01

-.02

STB1

 

-.05

-.01

.13

.68

.21

.31

STB2

Ability, Supplier in Buyer

-.02

.01

.14

.68

.31

.26

STB3

-.09

-.01

.19

.72

.21

.22

 

STB4

 

-.08

.02

.09

.78

.31

.31

STB5

 

.19

.01

.02

.35

.89

.27

STB6

Benevolence, Supplier in Buyer

.18

-.06

.01

.21

.69

.38

STB7

 

.10

-.02

.03

.29

.78

.32

STB8

 

.09

.07

.01

.19

.47

.66

STB9

Integrity, Supplier in Buyer

.14

.05

.01

.31

.33

.77

STB10

.10

.04

.03

.21

.38

.69

 

STB11

 

.09

.07

.02

.27

.22

.80

MIS Quarterly Vol. 33 No. 4/December 2009

761

Klein & Rai/Strategic Information Flows

762 MIS Quarterly Vol. 33 No. 4/December 2009