To date, it is unclear as to how Environmental Management Systems (EMS) are implemented and what effects these systems have on other environmental and operational practices. This study reports empirical insights to EMS practices based on the largest EMS survey of manufacturing firms in the United States. The objective of the study is to test for a relationship between environmental management systems and perceived operations performance while considering direct and indirect effects of various environmental practices. The results of this study are supported by several field studies and provide a new source of information regarding EMS theory development. The results also indicate a positive relationship between an EMS, the environmental practices a firm engages, and operations performance measures.
AllenbyB. R. (1993), Industrial Ecology, Prentice‐Hall, New York, New York.
2.
AlreckP. L. and SettleR. B., (1995), The Survey Research Handbook, 2nd edition, Irwin.
3.
AndersonJ. C. and GerbingD. W. (1988), “Structural Equation Modeling in Practice: A Review and Recommended Two‐Step Approach. Psychology Bulletin, 103, 3, 411–423.
4.
ArmstrongJ. S. and OvertonT. S. (1977), “Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14, 3, 396–402.
5.
BarneyJ. (1991), “Firm Resources and Sustained Competitive Advantage,” Journal of Management17, 99–120.
6.
BentlerP. M. (1989), EQS: Structural Equations Program Manual, Version 3.0, BMDP, Statistical Software Inc., Los Angeles, California.
7.
BentlerP. M. (1990), “Comparative Fit Indexes in Structural Models. Psychological Bulletin, 107, 238–246.
8.
BentlerP. M. and BonettD. G. (1980), “Significance Tests and Goodness of Fit in the Analysis of Covariance Structures. Psychological Bulletin, 88, 588–606.
9.
BollenK. A. (1989), Structural Equations with Latent Variables, John Wiley, New York.
10.
BrownR. L. (1986), “A Comparison of the LISREL and EQS Programs for Obtaining Parameter Estimates in Confirmatory Factor Analysis Studies. Behavior Research Methods, Instruments and Computers, 18, 4, 382–388.
11.
Business for Social Responsibility (BSR) Education Fund (1998), Moving Toward Sustainability: A View of Leadership Company Practices and Stakeholder Expectations, Business and the Environment Program, San Francisco, California.
12.
ByrneB. M. (1994), Structural Equations Modeling with EQS and EQS/Windows, Sage Publications, Thousand Oaks, California.
13.
ChurchillG. A. (1979), “A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16, 1, 64–73.
14.
ClarkR. A.StavinsR. N.GreenoJ. L.BavariaJ. L., et al. (1994), “The Challenge of Going Green, Harvard Busiof Going Green. Harvard Business Review, 72 (July‐August), 4, 37–49.
15.
ClarkR. A.CairncrossF.WalleyN.WhiteheadB., et al. (1994), “The Challenge of Going Green: Comment/Reply. Harvard Business Review, 72 (July‐August), 4, 37.
16.
CreswellJ. W. (1994), Research Design: Qualitative and Quantitative Approaches, Sage Publications.
17.
CronbachL. J., (1951), “Coefficient Alpha and the Internal Structure of Tests,” Psychometrica16, 297–334.
18.
DechantK. and AltmanB. (1994), “Environmental Leadership: From Compliance to Competitive Advantage. Academy of Management Executives, 8, 3, 7–20.
19.
EisenhardtK. M. (1989), “Building Theories from Case Study Research. Academy of Management Review, 14, 4, 532–550.
20.
FitzgeraldC. (1994), “Environmental Management Information Systems: New Tools for Measuring Performance,” Total Quality Environmental Management, Winter, 22–23.
21.
FlynnB. B.SakakibaraS.SchroederR. G.BatesK. A., and FlynnJ. E. (1990), “Empirical Research Methods in Operations Management. Journal of Operations Management, 9, 2, 250–284.
22.
GerbingD. W. and AndersonJ. C. (1988), “An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment. Journal of Marketing Research, 25, 186–192.
23.
GlaserB. and StraussA. (1967), The Discovery of Grounded Theory: Strategies for Qualitative Research, Aldine, Chicago, Illinois.
Global Environmental Management Initiative (GEMI) (1997), ISO 14000 Measuring Environmental Performance, GEMI, Washington, DC, March.
26.
HairJ.AndersonR.TathamR., and BlackW. (1999), Multivariate Data Analysis, 5th edition, Prentice‐Hall.
27.
HartS. L. (1995), “A Natural Resource Based View of the Firm. Academy of Management Review, 20, 986–1014.
28.
HartS. L. and GautamA. (1996), “Does It Pay to Be Green? An Empirical Examination of the Relationship Between Emission Reduction and Firm Performance. Business Strategy and the Environment, 5, 30–37.
29.
HoyleR. H. (1995), Structural Equation Modeling: Concepts, Issues, and Applications, SAGE Publications.
30.
JickT. D. (1979), “Mixing Qualitative and Quantitative Methods: Triangulation in Action. Administrative Sciences Quarterly, 24, 602–611.
31.
JoreskogK. G. and SorbomD. (1989), LISREL VII: A Guide to Programming and Applications, SPSS, Chicago, Illinois.
32.
KennyD. A. (1979), Correlations and Causation, Wiley, New York.
33.
KlassenR. D. (2000), “Exploring the Linkage between Investment in Manufacturing and Environmental Technologies. International Journal of Operations and Production Management, 20, 2, 127–147.
34.
KlassenR. D. and WhybarkD. C. (1999a), “Environmental Management in Operations: The Selection of Environmental Technologies. Decision Sciences, 30, 3, 601–631.
35.
KlassenR. D. and WhybarkD. C. (1999b), “The Impact of Environmental Technologies on Manufacturing Performance. Academy of Management Journal, 42, 6, 599–615.
36.
KleinerA. (1991), “What Does It Mean to Be Green?. Harvard Business Review, 69, 4, 38–47.
37.
LozadaH. and Mintu‐WimsattA. (1995), “Green Based Innovation: Sustainable Development in Production Management” in Advances in Environmental Marketing: New Developments in Practice, Theory and Research, PolonskyM. J. and Mintu‐WimsattA. (eds.), Hawworth Press, New York, 179–196.
38.
MakowerJ. (1994), The E‐Factor: The Bottom‐Line Approach to Environmentally Responsible Business, Times Books, New York.
39.
McCallumR. C.BrowneM. W., and SuguwaraH. M. (1996), “Power Analysis and Determination of Sample Size for Covariance Structure Modeling,” Psychological Methods, 1, 2, 130–149.
40.
McKinsey and Company (1991), The Corporate Response to the Environmental Challenge, McKinsey and Company, Amstel 344, 1017 AS Amsterdam, The Netherlands, August.
41.
MelnykS.CalantoneR.HandfieldR.TummalaL.VastagG.HindsT.SroufeR.MontabonF., and CurkovicS. (1999), ISO 14000 Assessing Its Impact on Corporate Effectiveness and Efficiency, Focus Study, Center for Advance Purchasing Studies.
42.
MilesM. and HubermanA. (1994), Qualitative Data Analysis: A Sourcebook of New Methods, Sage Publications, Newbury Park, CA.
43.
PattersonM. L. (1993), Accelerating Innovation: Improving the Process of Product Development, Van Nostrand Reinhold, New York, New York.
44.
PavaM. and KrauszJ. (1996), “The Association between Corporate Social Responsibility and Financial Performance: The Paradox of Social Cost. Journal of Business Ethics, 15, 321–375.
45.
PorterM. E. and Van Der LindeC. (1995), “Green and Competitive: Ending the Statement. Harvard Business Review, 73 (September‐October), 5, 120–134.
46.
RondinelliD. A. and VastagG. (1996), “International Environmental Standards and Corporate Policies: An Integrative Framework. California Management Review, 39, 1, 106–122.
47.
RoystonM. G. (1980), “Making Pollution Prevention Pay,” Harvard Business Review, November‐December, 6–22.
48.
RumeltR. (1984), “Towards a Strategic Theory of the Firm,” in Competitive Strategic Management, LambR. (ed.), Prentice‐Hall, Englewood Cliffs, New Jersey, 556–570.
49.
RussoM. V. and FoutsP. A. (1997), “A Resource‐Based Perspective on Corporate Environmental Performance and Profitability. Academy of Management Journal, 40, 3, 534–559.
50.
SarkisJ. and RasheedA. (1995), “Greening the Manufacturing Function,” Business Horizons, September‐October, 17–27.
51.
SharmaS.DurvasulaS., and DillonW. (1989), “Some Results on the Behavior of Alternate Covariance Structure Estimation Procedures in the Presence of Nonnormal Data. Journal of Marketing Research, 26, 214–221.
52.
SroufeR.CurkovicS.MontabonF., and MelnykS. (2000), “The New Product Design Process and Design for Environment: Crossing the Chasm. International Journal of Operations and Production Management, 20, 2, 267–291.
53.
StarikM. and RandsG. P. (1995), “Weaving an Integrated Web: Multilevel and Multisystem Perspectives of Ecologically Sustainable Organizations. Academy of Management Review, 20, 908–935.
54.
SteigerJ. H. and LindJ. C. (1980), “Statistically Based Tests for the Number of Common Factors,” Paper presented at the annual meeting of the Psychometric Society, Iowa City, Iowa.
55.
TiborT. and FeldmanI. (1996), ISO 14000 A Guide to the New Environmental Management Standards, Irwin.
56.
WaddockS. and GravesS. (1997), “The Corporate Social Performance: Financial Performance Link. Strategic Management Journal, 18, 303–319.
57.
WalleyN. and WhiteheadB. (1994), “It's Not Easy Being Green. Harvard Business Review, 72 (May‐June), 3, 46–52.
58.
WilliamsL. J. and HazerJ. T. (1986), “Antecedents and Consequences of Organizational Turnover: A Reanalysis Using Structural Equations Model. Journal of Applied Psychology, 71 (May), 219–231.
59.
WoodD. J. (1991), “Corporate Social Performance Revisited. Academy of Management Review, 16, 4, 691–718.
60.
WARDP.T.BERGERP. D.MILLERJ. G., and ROSENTHALS. R. (1992), “Manufacturing Process Technology and Support Staff Composition: An Empirical View of Industry Evidence,” Production and Operations Management, 1, 1, 5–21.
61.
HOLTC. C.MODIGLIANIF.MUTHJ. F., and SIMONH. A. (1960), Planning Production, Inventories, and Work Force, Prentice‐Hall, Englewood Cliffs, New Jersey.
62.
ROTHA.DEMEYERA., and AMANOA. (1989), “International Manufacturing Strategies: A Comparative Analysis” in Managing International Manufacturing, FerdowsK. (ed.), North‐Holland, New York, 187–212.
