an analysis of e-commerce awareness in …

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Reference Agarwal, A. & Shankar, R., 2003.On-line trust building in e-enabled Supply Chain Management. An International Journal, (8), p.324-334. Barua, A. Whinston, A. & Yin, F., 2000a. Value and productivity in the Internet Economy, Computer, (May), p. 2-5. Barua, A. Whinston, A. & Yin, F., 2000b. Assessing Internet enabled business Value: An exploratory investigation working paper, Center for Research in Electronic commerce, The University of Texas at Austin. Beda, Mutagahywa. & John Kajiba., 2000.Connectivity and e-commerce final Report. Economic and social research foundation, p.5-46. Blake, Jacqueline. & Wayne., 2005. The e-readiness of the Australian timber and wood sector. In: ITS Africa-Asia-Australasia regional conference, p.7-22. Boubekri, N., 2001.Technology enablers for Supply Chain Management. Integrated Manufacturing Systems, (12), p.394-399. Bridges.org, 2001a.Comparison of e-readiness assessment models, [Online]. Available at: http://www.bridges.org/ereadiness/report.html . [Accessed June 16 2007] Bridges.org, 2001b.Spanning the digital divide: Understanding and tackling the issues., [Online]. Available at: http://www.bridges.org /spning/summary.htm . [Accessed: June 16 2007] Central Bank of Sri Lanka, 2006.Central Bank of Sri Lanka annual report 2006, Sri Lanka: Central Bank of Sri Lanka. [Online]. Available at:http://www.cbsl. gov.lk/info/08_statistics/s_2.htm. [Accessed: July 152007] Christopher, W. Craighead, & Neal G. Shaw., 2003. E-commerce value creation and destruction a resource-based Supply Chain perspective. The database for advances in Information Systems, (34), p.1- 13. Creswell, J.W., 2003. Research design: Qualitative, quantitative, and mixed method approaches.2nd ed. Thousand Oaks.CA: Sage Publications, P.125. Cronbach L.J., 1951.Coefficient alpha and the internal structure of the thesis Phychometrica. Ph.D, p.297-334. Davis, D., 2000. Business research for decision making Pacific Grove. Duxbury Thompson learning, p.5-7. Devaka, Punchihewa. & Gunawardana K.D., 2002.The measurement of e- commerce Awareness in tourism industry of Sri Lanka, University of Sri Jayawardanapura, P.77-93. 85

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Page 1: AN ANALYSIS OF E-COMMERCE AWARENESS IN …

Reference Agarwal, A. & Shankar, R., 2003.On-line trust building in e-enabled Supply Chain Management. An International Journal, (8), p.324-334. Barua, A. Whinston, A. & Yin, F., 2000a. Value and productivity in the Internet Economy, Computer, (May), p. 2-5. Barua, A. Whinston, A. & Yin, F., 2000b. Assessing Internet enabled business Value: An exploratory investigation working paper, Center for Research in Electronic commerce, The University of Texas at Austin. Beda, Mutagahywa. & John Kajiba., 2000.Connectivity and e-commerce final Report. Economic and social research foundation, p.5-46. Blake, Jacqueline. & Wayne., 2005. The e-readiness of the Australian timber and wood sector. In: ITS Africa-Asia-Australasia regional conference, p.7-22. Boubekri, N., 2001.Technology enablers for Supply Chain Management. Integrated Manufacturing Systems, (12), p.394-399. Bridges.org, 2001a.Comparison of e-readiness assessment models, [Online]. Available at: http://www.bridges.org/ereadiness/report.html. [Accessed June 16 2007] Bridges.org, 2001b.Spanning the digital divide: Understanding and tackling the issues., [Online]. Available at: http://www.bridges.org /spning/summary.htm. [Accessed: June 16 2007] Central Bank of Sri Lanka, 2006.Central Bank of Sri Lanka annual report 2006, Sri Lanka: Central Bank of Sri Lanka. [Online]. Available at:http://www.cbsl. gov.lk/info/08_statistics/s_2.htm. [Accessed: July 152007] Christopher, W. Craighead, & Neal G. Shaw., 2003. E-commerce value creation and destruction a resource-based Supply Chain perspective. The database for advances in Information Systems, (34), p.1- 13. Creswell, J.W., 2003. Research design: Qualitative, quantitative, and mixed method approaches.2nd ed. Thousand Oaks.CA: Sage Publications, P.125. Cronbach L.J., 1951.Coefficient alpha and the internal structure of the thesis Phychometrica. Ph.D, p.297-334. Davis, D., 2000. Business research for decision making Pacific Grove. Duxbury Thompson learning, p.5-7. Devaka, Punchihewa. & Gunawardana K.D., 2002.The measurement of e- commerce Awareness in tourism industry of Sri Lanka, University of Sri Jayawardanapura, P.77-93.

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DTI (Department of Trade and Industry), 2004. Business in the information age The International benchmarking study 2004, Government of UK, p.43-44. Faith-Michael E, Uzoka. & Geoffrey, G. Seleka., 2006. B2C e-commerce Development in Africa case study of Botswana. Information System Journal, p.1-6. Fellenstein, Craig. & Wood., 2000. Exploring e-commerce: global e-business and e- societies. Prentice Hall PTR, p.12-14. Flood, G., 2002. Is your Intranet working?.Information world review, (181), p.14-15. Garcia-Dastugue, S.J. & Lambert, D.M., 2003. Internet enabled coordination in the Supply Chain. Industrial Marketing Management, (32), p.251-263. Gunasekaran, J. Sarkis, R.P, Sundarraj, & Burn, J.M., 2004. E-commerce enabled Manufacturing operations: issues and analysis. Information Systems Journal, (14), p.87-99. Gunawardana, K.D, & Avatchanakorn, V., 2000.The measurement of e-commerce Awareness in Thailand industries survey and analysis perspectives, ICMIT 2000, p.1-6. Hamelink, Cees J., 1997. New Information and Communication Technologies Social development and cultural change. In UNRISD discussion paper, [Online]. p.3-42. Available at: http://www.unrisd.org/unrisd/website/document.nsf/d2a23 ad2d50cb2280256eb300385855/398d6a861127084780256b640051a497/$FILE/ dp86.pdf.[Retrieved July 21, 2007] Hartman, A. & Sifonis, J., 2000. Net ready- Strategies for success in the Economy, New York; McGraw-Hill, p.34-123. Kalakota, R & Marcia Robinson., 1999. E-Busines: roadmap for success, Addison Wesley, p 6-8. Kao Diana, & Judith, D., 2003. A strategy based model for e-commerce planning Theoretical with application in practice. 103(4) p.238-252. Kapurubandara, M. & Lawson, R., 2006. Barriers to adopting ICT and e-commerce with SMEs in developing countries: An exploratory study in Sri Lanka, CollECTeR ’06 9 December, Adelaide, p.2-13. Lancioni, R.A. Smith, M.F., & Oliva, T.A., 2000. The role of the Internet in Supply chain management industrial marketing management. Industrial Marketing Management, (29), p.45-56. Lancioni, R.A., Smith, M.F., & Schau, H.J., 2003. Strategic Internet application Trends in Supply Chain Management. Industrial Marketing Management, (32), p.211-217.

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Lau, H.C.W., & Lee, W.B., 2000.On a responsive Supply Chain Information System. International journal of physical distribution and logistics management, (30), p.598-610.

Lee, G., & Edison, P., 2000. Assessing small companies readiness for e-commerce Initiative. Information system journal, p.12-14. Mansell, R. & When, U., 1998. Knowledge societies, Information Technology for Sustainable development, Oxford: Oxford University press, p.24-25. Mehrtens, J. Cragg, P.B. & Mills, A.M., 2001.A model of Internet adoption by SMEs. Information & management, (39), p.165-76. McConnell, & Witsa., 2000. Risk E-Business: seizing the opportunity of global E-readiness, p.2-5. McNurlin, & Sprague., 2004.Information system management in practice, Prentice - Hall, Sixth Edition, p.24-25. Ministry of Industrial Development in Sri Lanka. 2007.List of Industries by sector and scale,[Online] Available at : http://www.industry.gov.lk. [Accessed July 15th, 2007] Molla, A., 2004. The Impact of e-readiness on e-commerce success in developing Countries: Firm-level evidence, Working paper No 18, Development Informatics, p.2-13. Murillo, L. (2001).Supply Chain Management and the international dissemination Industrial Management and data systems. (101), p.370-377. Niklas, A. Brehmer, Johnson, & Anders. 1998. Business development with electronic commerce: refinement and repositioning. Business process Management Journal, (10), p.44-62. Office of New York state attorney general eliot spitzer (1999).Points of reference Ecommerce failures, Online brokerage industry report, [Online]. Available at http://www.oag.state.ny.us/investors/1999_online_brokers/points_reference.html. [Accessed August 15, 2007] Ramayah, T. Lim Chia Yan, & Sulaiman. 2005. SME e-readiness in Malaysia: Implications for planning and implementation. Journal, (48), p.25-30. Robinson, Colin., 2002. Real World Research: A resource for social scientists and Practitioner -researchers, Oxford: Blackwell, 2002. Sagren, Moodley., 2001. The status of B2B e-commerce in the South African Manufacturing sector evolutionary or revolutionary. P.3 – 10.

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Saulnier, M. & Rosson, P., 2004.Walk don't run: e-business readiness in Canadian SMEs. Proceedings, Fourth biennial McGill international, p.2 -14. Sovis, W.M.S.K., 2001. Initiative for E-Commerce capacity: building of SME’s in Sri Lanka final report, Department of commerce, p.200-208. UNCTAD ,2001. E-commerce and development report 2000. United Nations Conference on trade and development, New York, Geneva, [Online]. Available at http://r0.unctad.org/ecommerce/docs/edr01_en/edr01pt2_en.pdf. [Accessed July 24, 2007] Whiting, R., 2002. Extranets go the extra mile, Information week.com, p.72-76. Wilson., R.F., 1999. E-commerce readiness assessment tool, Web commerce today, issue 23, [Online]. Available at www.wilsonweb.com /wct2/readiness- assessment.htm.[ Accessed September 15th, 2007] Wilson., Ernest .J., 2004. The Information revolution in developing countries. Cambridge, Mass.; London, MIT Press. World Bank , 2002. Information and Communication Technologies: A World Bank Group strategy. Washington, DC, USA. World Bank . 2005. Task Managers’ ICT Toolkit: a route Map for ICT Components In World Bank Projects. Publications: Document & reports Report No: 31886, Vol1, [Online]. Available at http://www.worldbank.org.[ Accessed August 23, 2007]

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APPENDIX Appendix A - The survey questionnaire

An analysis of e-commerce awareness in manufacturing industries of Sri Lanka

G. Sudarshan MASTER OF BUSINESS ADMINISTRATION IN INFORMATION TECHNOLOGY

Department of Computer Science & Engineering University of Moratuwa

E-commerce commonly relates to commercial transactions of goods and services conducted

electronically between the stakes holders, mainly through the open international network

systems. It can be used for online transaction between Business-to Business (B2B) Business-

to-Consumer (B2C) and Customer-to-Customer (C2C). This research mainly consider (B2B)

where the manufacturing companies are using e-commerce technologies to get product

information, ordering the raw materials conducting payments through the Internet, supplier

sourcing and etc. These are only few mentioned for your understanding. A wide range of

communication technologies including e-mail, Internet, Intranet, extra-net, EDI (Electronic

Data Interchange) and company website can be used to support e-commerce. Here the

intention to measure the awareness of the above technologies in manufacturing companies

and identify the potential constraints for implementing e-commerce technologies as well as

identify the future level of investment for e-commerce technologies .If your organisation use

e-commerce for the B2C operations such as sales, marketing or advertising products it can

also give their feed back.

(If you are using e-mail document please use the “X” symbol to denote your answer in

the relevant cage)

PART - 1 1. Company background information.

(a) Company name (optional) (b) E-mail (optional) (d) Name of respondent (e) Position

2. When was the company started?

3. The Industry category

Food, beverages & tobacco Textile, wearing apparel & leather products Wood & wood products Paper & paper products

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Chemical, petroleum, rubber & plastic products Non metallic products Basic metal products Fabricated metal products Products not elsewhere specified

4. How many employees does your company have?

0-19 20-99 100-499 500-800 >800

5. What is your annual turnover in the company?

0 – 9 million rupees 10 – 19 million rupees 20 – 49 million rupees 50 – 99 million rupees 100 million - 500 million > 500 million

6. How many computers (including PCs, laptops, workstations and terminals) do you have in your company?

1-19 20-49 55-99 100 - 149 > 150 More that 150 (How many

7. Does your company uses the Internet for business purposes?

Yes No

(Note: If you answer YES for question No 7 then go to the question No 8. If you answer NO for the question No 7 then please jump to question No 12. ) IF YES: (If you answer “YES” in question No 7) 8. When did your company start to use the Internet?

0 year after start-up within 1 year after start-up 1-3 years after start-up 3-5 years after start-up More than 5 years after start-up

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9. How many percent of the employees are using the Internet for business issues?

Less than 30% 30-50% 50-80 % 80-100 %

(10) How often is the Internet used in your company?

Every day A few times a week A few times a month More seldom

(11) The type of Internet connection your company has (please give only the main type of the connection

Leased line bonnections ADSL (512 – 1 MB) CDMA Dial Up Connections Telephone Dial Up Others ( ) If any other please specify

IF NO: (If you answer “NO” in question No 7) (12) Have you considered using the Internet for business purposes?

Yes No

(13) 7. What are the reasons for not using the Internet for business purposes?

The Internet has no relevance for the business The access to Internet is too expensive The Internet would be a waste of time for my employees Others:

(If any other please specify)

PART - II (14) Does your company aware of using e-commerce technologies in the business

A. Having awareness and already using B. Having awareness and plan to use in the future C. Having aware and no plan to use D. Unawareness

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NOTE: If you answer “A” for the question No 14 please jump to question no 15 If you answer “B” for the question No 14 please Jump to question no 19 If you answer “C” or “D” you don’t need take part further in this survey you Can exit (15) How long the company using e-commerce technologies? (If you answer “A” In the question No 14)

1 – 2 years 2 – 5 years More than 5 years please specify( )

(16) What does the company use e-commerce technologies MAINLY for?

Marketing Advertising To get Product information or raw material information from supplier Selling goods and/or services over Internet Buying from supplier over Internet Others: please specify

(17) Where is e-commerce technologies MAINLY implemented in the company?

Procurement and purchasing Marketing and advertising Recruitment Others: please specify

(18) Do your suppliers utilize e-commerce technologies in their business?

Yes No Not Sure

(19) Do you think e-commerce is appropriate and applicable to your company? (If you answer “B” In the question No 14)

Yes No

(20) Do your suppliers utilise e-commerce technologies in their business?

Yes No Not Sure

(21) What is the possibility of the company adopting e-commerce in the future?

1 - 12 months 2 - 5 years More than 5 years Never

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If your answer is '1 - 12 months ' or '2 - 5 years', please ignore question 22 and go to question 23. If your answer is 'More than 5 years ' or 'Never' please go to question 22 (22) If your answer in question No.18 is either “More than 5 years” or “Never”, please specify brief reasons …………………………………………………………………….. (23) Do you aware of following e-commerce Technologies? If you know please specify the usage level of each technology?

Always 80 %

Frequently 50 – 80 %

Seldom 30-49

Never 0 %

E-mail Internet Extranet EDI (Electronic Data Interchange ) Intranet website Supplier Data base (Supplier Information)

(NOTE: e-commerce awareness means the know how of the particular technology and e-commerce usage means actual usage level of the e-commerce technology) If you use any other technology which is not stated in the above list please write down here and enter the frequency of usage

Intranet: An Intranet is a private network that is contained within an enterprise. It may consist of many interlinked local area networks and also use leased lines in the wide area network. The main purpose of an Intranet is to share company information and computing resources among employees. An Intranet can also be used to facilitate working in groups and for teleconferences. Extranet: An Extranet is a private network that uses Internet technology and the public telecommunication system to securely share part of a business's information or operations with suppliers, vendors, partners, customers, or other businesses.

PART – III For each question in this part, please rate the influence that it had, or might have, Strongly Disagree (SD) =1, Disagree (D) =2, Neutral (N) =3, Agree (A) =4, and strongly Agree (SA) =5, Using this scale please answer following question No 1 – 28 SD D N A SA

Management awareness 1 2 3 4 5 1.Do you have aware of the potential rewards or recognize the benefits of using e-commerce technologies

2.Does your top management or senior management have aware of e-commerce technologies

3.Are you committed to e-commerce technologies implementation.

4.Does your business has a clear vision on e-commerce Or

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clear future goal to implement the e-commerce technologies. 5.Do you have a well defined strategy for adopting e-commerce technologies.

6.Do You have enough business resources to implement e-commerce technologies

7.Does your staff have the necessary levels of IT literacy ,functional expertise and skills to implement e-commerce technologies

8.Do you have the technological capability to implement e-commerce (infrastructure facility )

9. All levels of management in your organization have an e-business mindset.

10. Do you developed strategies to migrate users of existing system to e-commerce technologies.

11. Did your organizational culture is well suited for e- commerce adoption and usage

12. your staff is willing to change into e-commerce technologies in the future

Potential constraints 1 2 3 4 5 13.Concern for security of personal & financial Information.

14. Infrastructure issues e.g. technical compatibility and telecommunications infrastructure.

15Local environment not yet ready for e-commerce or company’s e-commerce readiness.

16.Lack of motivation from manufacturing industry 17. Availability of expertise. (Skill People) 18. Cost to set up and maintain is very High .(finance) 19.Recognition of the potential of e-commerce benefits or lack of awareness.

20.Limited knowledge of relevant business models . 21.Lack of support from local IT industry . 22.The availability of e-commerce technology. 23.Government hasn’t produced policies to direct firms, to make conditions easy. (government motivation)

24.Suitability of company’s products/services with e-commerce technologies.

25. Language barriers when doing business internationally (local language support ).

26. Complexity and reliability of e-commerce Technology.

27. Negative attitudes towards Internet and e-commerce. 28. Trust issue.

You can write down here your idea not mentioned above.

Potential constraints 1 2 3 4 5

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PART – 1V

(1) Do you already have a budgeted expenditure for the IT department?

Yes No

If you answer “Yes” please give the percentage of IT expenditure (%) on total expenditure of your company

% if you answer “NO” don not leave blank and go to the question no2

(2) For the next two years do you have a plan to invest on the e-commerce technologies?

Yes No

If you answer “Yes” please give the percentage (%) on IT Expenditure of your Company

% If you answer “NO” No need to continue further

(3) If you have a plan to invest in the future, please specify in which way you are going in to implement

In-house development Out source Train the existing employees Sharing the technology with principals/Suppliers OTHERS (Pleases specify)

(4) If you have a plan to invest in the e-commerce please specify in which area what percentage you are going to invest?

Infrastructure facility (Hardware & technical support ) % E-commerce applications (Software applications ) % Training the staff % Updating & maintenance % Total % 100

(5) What is your intended pay back period After 2 year? (*pay back period is the period after the initial spending the time taken for actual benefit?

1 0 – 6 months 2 6 – 12 month 3 1 – 2 years 4 2 - 5 years 5 > 5 years (.please specify )

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Appendix B - The list of companies (Final sample) No Company name 1 Abans Electronoics pvt Ltd. 2 MAS Active (Pvt) Ltd. 3 Volanka Exports Limited 4 Emerald International (Pvt) Ltd. 5 AitkenSpence Printing pvt Ltd. 6 A Baur & Co Ltd. 7 Nivaran Herbal Remedies Pvt Ltd. 8 Asian Paints (Lanka) Ltd. 9 S-Lon Lanka (Pvt) Ltd. 10 Ceylon Pencil Co. Ltd. 11 Latexam (Pvt) Ltd. 12 Woodman Lanka (pvt) ltd. 13 Green Soils (pvt) Ltd. 14 Prime Carbons Lanka (pvt) Ltd. 15 Image Printing Pvt Ltd. 16 ACL cables Pvt Ltd. 17 Cargill’s quality foods. 18 Astron phamasuiticals. 19 Lankem Ceylon Limited. 20 Munchee Biscuits (CBL foods). 21 Alexandra Industries (Ceylon) Ltd. 22 Tib Plastic industries (pvt ) Ltd. 23 Nestlay group /Eastern. 24 Texvel Jercy Limited. 25 Phonix Industries Limited. 26 Sonic Steel Industries pvt Ltd. 27 Promo Lanka Marketing. 28 General Sales Company Ltd. 29 K.G.Plastic pvt Ltd. 30 Polytex Garment Ltd. 31 Winterquilts pvt Ltd. 32 Arpidag International (pvt) Ltd. 33 Aitken Spence Garments. 34 Gamini Engineering works pvt Ltd 35 Uswatta Group of Companies. 36 Kavin steel pvt Ltd. 37 Wood & Wood products. 38 Ranliya Group. 39 MEG Paper Boards (Pvt) Ltd. 40 SmithKline Beecham (Pvt) Ltd.

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Appendix C - SPSS Reliability test result (Cronbach’s alpha) Item Statistics

Mean Std. Deviation Company awareness group(P2.Q14) 3.4474 .76042 e-mail usage(P2.Q23) 74.0789 11.65120 Internet usage(P2.Q23) 69.2895 12.43123 Extranet usage(P2.Q23) 26.4474 32.22614 EDI usage(P2.Q23) 28.2105 29.79494 Intranet usage(P2.Q23) 32.1579 37.11962 website usage((P2.Q23) 50.1579 32.93444 Supplier data base usage(P2.Q23) 30.6842 32.44797 Potential rewards(P3.Q1) 3.5000 1.26811 Management awareness(P3.Q2) 3.3421 1.23630 Techlogical implementation(P3.Q3) 3.4211 1.15388 Clear vision(P3.Q4) 3.1579 1.17465 Well defined strategy(P3.Q5) 2.8421 1.17465 Business resource(P3.Q6) 3.4474 1.00532 IT skills(P3.Q7) 3.3947 1.28483 Technolical caperbility(P3.Q8) 3.4737 1.15634 E-Businee mindset (P3.Q9) 2.3421 1.02077 Migrate users(P3.Q10) 2.6579 .90871 Organaisational culture(P3.Q11) 3.1053 1.10989 Organaisational change(P3.Q12) 2.9737 1.19655 Security concern(P3.Q13) 3.9737 .91495 Infrastructure fasility(P3.Q14) 3.7368 .94966 Enviornment readiness(P3.Q15) 3.2632 1.22329 Motivation(P3.Q16) 2.7368 1.28787 Lack of skill(P3.Q17) 3.4737 1.05873 Cost(P3.Q18) 3.6579 .96636 Lack of awarenes(P3.Q19) 3.2632 .97770 Business model(P3.Q20) 3.3947 1.12801 Lack of industry support(P3.Q21) 3.5000 1.17978 Technological availability(P3.Q22) 3.6579 .99394 Lack of government motivation(P3.Q23) 3.8421 1.15141 Product suitability(P3.Q24) 3.6842 .96157 Language Bariers(P3.Q25) 3.3158 1.31735 Technological compleaxity(P3.Q26) 3.3158 1.09311 Negativea(P3.Q27) 3.2105 1.04385 Trust Issue(P3.Q28) 3.7105 1.06309 Company age (P1.Q2) 28.6579 18.71302 Industry category (P1.Q3) 4.8947 2.82641 Annual TurnOver(P1.Q5) 112.0526 85.18944 Number of computers(P1.Q6) 46.5000 38.44670 Internet usage(P1.Q7) 1.0000 .00000 How often Internet used(P1.Q10) 73.6842 16.34444 Calculated technology Use 309.4474 125.10011 Internet start of use(P1.Q8) 1.5263 1.05873 Percentage of Internet usage(P1.Q9) 34.7368 24.49345

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Connection type(P1.Q11) 1.5789 .75808 Item-Total Statistics

Scale mean if

Item deleted

Scale variance if Item deleted

Corrected Item-Total

correlation

Cronbach's

Alpha if Item

deleted Company awareness group(P2.Q14) 1018.5000 102263.284 .593 .709E-mailu(P2.Q23) 947.8684 97783.631 .636 .696Internet usage(P2.Q23) 952.6579 99996.285 .305 .703Extranet usage(P2.Q23) 995.5000 94543.284 .352 .695EDI usage(P2.Q23) 993.7368 91298.523 .576 .681Intranet usage(P2.Q23) 989.7895 87323.360 .631 .671website usage((P2.Q23) 971.7895 88624.333 .655 .673Supplier data base usage(P2.Q23) 991.2632 89098.145 .640 .675Potential rewards(P3.Q1) 1018.4474 102312.686 .293 .709Management awareness(P3.Q2) 1018.6053 102227.489 .409 .709Techlogical implementation(P3.Q3) 1018.5263 102205.013 .469 .709Clear vision(P3.Q4) 1018.7895 102282.225 .357 .709Well defined strategy(P3.Q5) 1019.1053 102182.475 .490 .709Business resource(P3.Q6) 1018.5000 102384.095 .259 .709IT Skills(P3.Q7) 1018.5526 102193.659 .434 .709Technolical caperbility(P3.Q8) 1018.4737 102295.986 .344 .709E-Businee mindset (P3.Q9) 1019.6053 102329.272 .340 .709Migrate users(P3.Q10) 1019.2895 102165.130 .665 .709Organaisational culture(P3.Q11) 1018.8421 102315.164 .332 .709Organaisational change(P3.Q12) 1018.9737 102194.621 .465 .709Security concern(P3.Q13) 1017.9737 102544.783 .011 .710Infrastructure fasility(P3.Q14) 1018.2105 102494.333 .093 .710Enviornment readiness(P3.Q15) 1018.6842 102470.762 .102 .710Motivation(P3.Q16) 1019.2105 102601.198 -.062 .710Lack of skill(P3.Q17) 1018.4737 102585.445 -.051 .710Cost(P3.Q18) 1018.2895 102437.995 .183 .709Lack of awarenes(P3.Q19) 1018.6842 102622.708 -.114 .710Business model(P3.Q20) 1018.5526 102686.903 -.188 .710Lack of industry support(P3.Q21) 1018.4474 102498.200 .069 .710Technological availability(P3.Q22) 1018.2895 102435.509 .182 .709Lack of government motivation(P3.Q23) 1018.1053 102353.556 .268 .709Product suitability(P3.Q24) 1018.2632 102513.496 .061 .710Language barriers(P3.Q25) 1018.6316 102842.185 -.345 .711Technological compleaxity(P3.Q26) 1018.6316 102576.455 -.037 .710Negative attitude(P3.Q27) 1018.7368 102637.713 -.130 .710Trust issue(P3.Q28) 1018.2368 102393.159 .232 .709Company age (P1.Q2) 993.2895 99845.725 .199 .705Industry category (P1.Q3) 1017.0526 102296.808 .137 .709Annual turnover(P1.Q5) 909.8947 76126.799 .408 .699Number of computers(P1.Q6) 975.4474 92087.659 .385 .691Internet usage(P1.Q7) 1020.9474 102552.051 .000 .710

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How Often Internet used(P1.Q10) 948.2632 99995.280 .222 .705Calculated technology Use 712.5000 43667.554 .827 .654Internet start of use(P1.Q8) 1020.4211 102539.656 .017 .710Percentage of Internet usage(P1.Q9) 987.2105 103035.252 -.069 .717Connection type(P1.Q11) 1020.3684 102810.023 -.532 .711

Appendix D - SPSS One way ANOVA results - number of employees

Descriptives

Number Of Employees(P1.Q4)

1 300.00 . . . . 300 3001 500.00 . . . . 500 5001 300.00 . . . . 300 3002 29.00 22.627 16.000 -174.30 232.30 13 451 12.00 . . . . 12 122 400.00 141.421 100.00 -870.62 1670.62 300 5001 1120.00 . . . . 1120 11201 45.00 . . . . 45 451 45.00 . . . . 45 453 204.00 166.277 96.000 -209.05 617.05 12 3001 650.00 . . . . 650 6502 400.00 141.421 100.00 -870.62 1670.62 300 5002 500.00 .000 .000 500.00 500.00 500 5001 300.00 . . . . 300 3002 172.50 180.312 127.50 -1447.54 1792.54 45 3003 281.67 228.053 131.67 -284.85 848.18 45 5001 900.00 . . . . 900 9001 300.00 . . . . 300 3001 300.00 . . . . 300 3001 300.00 . . . . 300 3001 300.00 . . . . 300 3001 700.00 . . . . 700 7001 300.00 . . . . 300 3001 45.00 . . . . 45 451 700.00 . . . . 700 7001 500.00 . . . . 500 5001 300.00 . . . . 300 3001 900.00 . . . . 900 900

37 358.84 270.042 44.395 268.80 448.87 12 1120

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N MeanStd.

DeviationStd.Error Lower Bound

UpperBound

95% Confidence Interval forMean

Minimum Maximum

XI

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ANOVA

Number Of Employees(P1.Q4)

2392880 27 88625.180 3.433 .029232337.2 9 25815.2412625217 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

1200

1000

800

600

400

200

0

Mea

n of

NoO

fEm

p

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Appendix E - SPSS One way ANOVA results - company age

Descriptives

Company Age (P1.Q2)

1 29.00 . . . . 29 291 28.00 . . . . 28 281 28.00 . . . . 28 282 49.50 10.607 7.500 -45.80 144.80 42 571 53.00 . . . . 53 532 19.00 15.556 11.000 -120.77 158.77 8 301 27.00 . . . . 27 271 3.00 . . . . 3 31 20.00 . . . . 20 203 6.33 2.517 1.453 .08 12.58 4 91 65.00 . . . . 65 652 45.50 7.778 5.500 -24.38 115.38 40 512 50.50 .707 .500 44.15 56.85 50 511 50.00 . . . . 50 502 26.50 3.536 2.500 -5.27 58.27 24 293 23.67 13.279 7.667 -9.32 56.65 16 391 39.00 . . . . 39 391 14.00 . . . . 14 141 51.00 . . . . 51 511 9.00 . . . . 9 91 27.00 . . . . 27 271 18.00 . . . . 18 181 6.00 . . . . 6 61 6.00 . . . . 6 61 8.00 . . . . 8 81 38.00 . . . . 38 381 67.00 . . . . 67 671 26.00 . . . . 26 26

37 29.30 18.546 3.049 23.11 35.48 3 67

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N MeanStd.

DeviationStd.Error

LowerBound

UpperBound

95% ConfidenceInterval for Mean

Minimum

Maximum

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ANOVA

Company Age (P1.Q2)

11588.396 27 429.200 4.869 .009793.333 9 88.148

12381.730 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

70

60

50

40

30

20

10

0

Mea

n of

Com

Age

XIV

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Appendix F - SPSS One way ANOVA results - industry category

Descriptives

Industry Category (P1.Q3)

1 7.00 . . . . 7 71 2.00 . . . . 2 21 5.00 . . . . 5 52 5.00 2.828 2.000 -20.41 30.41 3 71 4.00 . . . . 4 42 3.50 2.121 1.500 -15.56 22.56 2 51 1.00 . . . . 1 11 1.00 . . . . 1 11 4.00 . . . . 4 43 5.33 3.055 1.764 -2.26 12.92 2 81 9.00 . . . . 9 92 7.00 2.828 2.000 -18.41 32.41 5 92 3.50 2.121 1.500 -15.56 22.56 2 51 9.00 . . . . 9 92 4.00 1.414 1.000 -8.71 16.71 3 53 6.00 2.646 1.528 -.57 12.57 4 91 4.00 . . . . 4 41 1.00 . . . . 1 11 1.00 . . . . 1 11 5.00 . . . . 5 51 9.00 . . . . 9 91 2.00 . . . . 2 21 7.00 . . . . 7 71 9.00 . . . . 9 91 2.00 . . . . 2 21 9.00 . . . . 9 91 9.00 . . . . 9 91 5.00 . . . . 5 5

37 5.00 2.789 .458 4.07 5.93 1 9

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N MeanStd.

DeviationStd.Error

LowerBound

UpperBound

95% ConfidenceInterval for Mean

Minimum

Maximum

ANOVA

Industry Category (P1.Q3)

220.333 27 8.160 1.231 .39159.667 9 6.630

280.000 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

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127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

10

8

6

4

2

0

Mea

n of

Indu

stry

Cat

egor

y

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Appendix G - SPSS one way ANOVA results - turnover

Descriptives

Annual TurnOver(P1.Q5)

1 75.00 . . . . 75 751 100.00 . . . . 100 1001 100.00 . . . . 100 1002 42.00 46.669 33.000 -377.30 461.30 9 751 9.00 . . . . 9 92 100.00 .000 .000 100.00 100.00 100 1001 100.00 . . . . 100 1001 9.00 . . . . 9 91 75.00 . . . . 75 753 69.67 52.539 30.333 -60.85 200.18 9 1001 100.00 . . . . 100 1002 100.00 .000 .000 100.00 100.00 100 1002 171.00 100.409 71.000 -731.14 1073.14 100 2421 320.00 . . . . 320 3202 87.50 17.678 12.500 -71.33 246.33 75 1003 91.67 14.434 8.333 55.81 127.52 75 1001 100.00 . . . . 100 1001 100.00 . . . . 100 1001 75.00 . . . . 75 751 75.00 . . . . 75 751 100.00 . . . . 100 1001 100.00 . . . . 100 1001 100.00 . . . . 100 1001 75.00 . . . . 75 751 300.00 . . . . 300 3001 410.00 . . . . 410 4101 75.00 . . . . 75 751 275.00 . . . . 275 275

37 112.38 86.341 14.194 83.59 141.17 9 410

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N Mean

Std.Deviatio

nStd.Error

LowerBound

UpperBound

95% ConfidenceInterval for Mean

Minimum Maximum

ANOVA

Annual TurnOver(P1.Q5)

249858.9 27 9254.032 4.500 .01218509.833 9 2056.648

268368.7 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

XVII

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127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

500

400

300

200

100

0

Mea

n of

Tur

nOve

r

XVIII

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Appendix H - SPSS One way ANOVA results - level of Internet usage

Descriptives

Calculated Mean Internet Usage

1 24.0000 . . . . 24.00 24.001 24.0000 . . . . 24.00 24.001 24.0000 . . . . 24.00 24.002 73.0000 35.35534 25.0000 -244.6551 390.6551 48.00 98.001 98.0000 . . . . 98.00 98.002 24.0000 .00000 .00000 24.0000 24.0000 24.00 24.001 54.0000 . . . . 54.00 54.001 43.0000 . . . . 43.00 43.001 23.0000 . . . . 23.00 23.003 56.6667 36.46002 21.0502 -33.9051 147.2384 24.00 96.001 74.0000 . . . . 74.00 74.002 36.5000 17.67767 12.5000 -122.3276 195.3276 24.00 49.002 48.5000 36.06245 25.5000 -275.5082 372.5082 23.00 74.001 24.0000 . . . . 24.00 24.002 48.5000 36.06245 25.5000 -275.5082 372.5082 23.00 74.003 23.0000 1.73205 1.00000 18.6973 27.3027 21.00 24.001 24.0000 . . . . 24.00 24.001 54.0000 . . . . 54.00 54.001 24.0000 . . . . 24.00 24.001 51.0000 . . . . 51.00 51.001 24.0000 . . . . 24.00 24.001 20.0000 . . . . 20.00 20.001 21.0000 . . . . 21.00 21.001 50.0000 . . . . 50.00 50.001 44.0000 . . . . 44.00 44.001 49.0000 . . . . 49.00 49.001 74.0000 . . . . 74.00 74.001 74.0000 . . . . 74.00 74.00

37 43.1622 24.46938 4.02274 35.0037 51.3207 20.00 98.00

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N MeanStd.

DeviationStd.Error

LowerBound

UpperBound

95% Confidence Intervalfor Mean

Minimum Maximum

ANOVA

Calculated Mean Internet Usage

14726.860 27 545.439 .719 .7596828.167 9 758.685

21555.027 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

XIX

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127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

100.00

80.00

60.00

40.00

20.00

Mea

n of

Tot

alIn

tern

etU

se

XX

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Appendix I - SPSS One way ANOVA results - level of e-commerce capability

Descriptives

Calculated Mean e-commerce Technology Use

1 147.0000 . . . . 147.00 147.001 418.0000 . . . . 418.00 418.001 307.0000 . . . . 307.00 307.002 146.5000 68.58936 48.500 -469.7509 762.7509 98.00 195.001 195.0000 . . . . 195.00 195.002 290.5000 23.33452 16.500 80.8476 500.1524 274.00 307.001 323.0000 . . . . 323.00 323.001 114.0000 . . . . 114.00 114.001 163.0000 . . . . 163.00 163.003 275.3333 56.00298 32.333 136.2142 414.4524 243.00 340.001 449.0000 . . . . 449.00 449.002 417.5000 137.88582 97.500 -821.3550 1656.3550 320.00 515.002 322.0000 137.17872 97.000 -910.5019 1554.5019 225.00 419.001 499.0000 . . . . 499.00 499.002 300.5000 125.15790 88.500 -823.9991 1424.9991 212.00 389.003 403.3333 153.72811 88.755 21.4515 785.2151 228.00 515.001 530.0000 . . . . 530.00 530.001 243.0000 . . . . 243.00 243.001 228.0000 . . . . 228.00 228.001 289.0000 . . . . 289.00 289.001 209.0000 . . . . 209.00 209.001 560.0000 . . . . 560.00 560.001 240.0000 . . . . 240.00 240.001 289.0000 . . . . 289.00 289.001 422.0000 . . . . 422.00 422.001 307.0000 . . . . 307.00 307.001 240.0000 . . . . 240.00 240.001 434.0000 . . . . 434.00 434.00

37 313.4054 124.39017 20.450 271.9317 354.8792 98.00 560.00

71.0075.0076.0078.0080.0087.0090.0091.0092.0093.0094.0095.0097.0098.0099.00100.00102.00104.00105.00107.00109.00112.00116.00117.00120.00122.00126.00127.00Total

N MeanStd.

DeviationStd.Error

LowerBound

UpperBound

95% Confidence Intervalfor Mean

Minimum Maximum

ANOVA

Calculated Mean e-commerce Technology Use

444743.6 27 16471.985 1.320 .345112281.3 9 12475.704557024.9 36

Between GroupsWithin GroupsTotal

Sum ofSquares df Mean Square F Sig.

XXI

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127.00

126.00

122.00

120.00

117.00

116.00

112.00

109.00

107.00

105.00

104.00

102.00

100.00

99.00

98.00

97.00

95.00

94.00

93.00

92.00

91.00

90.00

87.00

80.00

78.00

76.00

75.00

71.00

Mean Awareness

600.00

500.00

400.00

300.00

200.00

100.00

Mea

n o

f T

ec

hn

olo

gy

Us

e

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XXIV