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Adoption and Implementation of E-Business |
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Characteristics |
Percentage % |
|
Organisation Type Listed limited liability company Non-listed limited liability company Partnership Sole trader Other |
30.2 52.0 7.0 1.2 9.6 |
|
Organisation Size 10-49 full time equivalent employees 50-99 full time equivalent employees 100 + full time equivalent employees |
67.2 13.9 18.9 |
|
Ownership Family-owned or operated Not family-owned or operated New Zealand interests International interests |
41.9 58.1 84.4 15.6 |
|
Geographic Scale Local Regional National International |
15.2 19.1 31.6 34.0 |
|
Revenue New Zealand sources International sources |
82.9 17.1 |
Descriptive results on key issues influencing E-Business adoption and implementation are outlined and discussed in the next two sections of this report.
The adoption of E-Business in New Zealand was considered in this survey by examining the use of computers for business activities, the types of business activities performed electronically, the existence of websites and their features, motives for involvement with E-Business initiatives, and the most important impacts of E-Business on firm performance
Computer use for business activities was found to be almost universal with over 92% of the respondents indicating involvement with computers in their organisations. As illustrated in Figure 3.1, the proportion of New Zealand organisations with a website was much lower - approximately half of this sample (54%). Using the number and types of website functions to gauge the level of E-Business capabilities (Berryman, 2000; PriceWaterhouseCoopers, 1999), only 21% of the organisations have websites capable of taking orders and 8% can also handle payments on-line. However, 241 organisations (19.6%) reported involvement with B2B sales and 236 (19.2%) were doing business-to-customer (B2C) sales. These results indicate that there is considerable scope for New Zealand organisations to increase their E-Business activities.
Figure 3.1 Extent of E-Business Activities
![]() |
For the organisations using computers, the frequency of performing business activities electronically is summarised in Table 3.1. External email was a key feature for all organisations with computers and it was an hourly activity for 62% of the respondents. Three quarters of the companies were also very frequent users (hourly/daily) of internal email. Two other electronic information exchange/retrieval tasks were performed frequently by over 85% of the companies; i.e. sending/receiving data files and searching for information. Two thirds of the companies reported checking prices on-line on a monthly, weekly, or daily basis.
Approximately half of the organisations were involved with electronic financial transactions on a monthly, weekly or daily basis; including 357 companies doing daily e-transactions. Similarly, half of the organisations were purchasing supplies on-line and doing market research on-line on a monthly, weekly or daily basis. For most frequent category for companies doing these activities, and others such as e-competitor intelligence and e-advertising/promotion, was monthly. Electronic links to partners via an extranet were reported by one third of the companies and 121 of these companies used these links on a daily basis. After-sales service was provided on-line by 30% of the computer-using organisations and 25% were doing electronic delivery coordination. Electronic HRM activities including staff recruitment and training on-line were practised in less than 25% of these organisations. While New Zealand organisations may not make it a high priority to undertake electronic HRM activities, it is interesting to note that leading IT companies, such as Cisco Systems, make extensive use of electronic business to employee (B2E) activities.
Table 3.1 Frequencies of Electronic Business Activities
|
Never % |
Yearly % |
Monthly % |
Weekly % |
Daily % |
Hourly % | |
|
External Email |
0.4 |
0.1 |
0.9 |
4.2 |
31.7 |
62.6 |
|
Internal Email |
19.0 |
0.6 |
0.6 |
3.6 |
20.2 |
55.9 |
|
Sending/receiving data files |
5.0 |
0.8 |
7.9 |
19.4 |
41.7 |
25.3 |
|
Searching for information |
1.6 |
0.4 |
9.7 |
24.4 |
39.5 |
24.5 |
|
E-financial transactions |
41.7 |
0.6 |
5.6 |
12.5 |
33.9 |
5.6 |
|
Internal Intranet |
57.2 |
0.5 |
0.8 |
2.9 |
12.5 |
26.1 |
|
Checking prices on-line |
23.8 |
3.9 |
16.4 |
25.6 |
21.3 |
9.1 |
|
Extranet links to key partners |
66.4 |
1.4 |
4.6 |
8.6 |
12.1 |
6.8 |
|
E-advertising/promotion |
57.8 |
5.4 |
12.1 |
6.2 |
10.3 |
8.2 |
|
After-sales service on-line |
69.6 |
0.8 |
5.8 |
8.1 |
8.9 |
6.7 |
|
E-delivery coordination |
74.3 |
0.8 |
4.7 |
5.7 |
8.3 |
6.1 |
|
Purchasing supplies on-line |
44.4 |
4.8 |
19.4 |
17.1 |
10.7 |
3.6 |
|
Market research on-line |
45.2 |
6.2 |
18.4 |
16.0 |
11.0 |
3.1 |
|
On-line sales to consumers |
76.5 |
2.3 |
4.2 |
3.5 |
6.8 |
6.8 |
|
On-line sales to businesses |
75.9 |
1.8 |
4.9 |
3.8 |
7.2 |
6.4 |
|
E-competitor intelligence |
52.3 |
6.6 |
20.0 |
12.2 |
6.7 |
2.1 |
|
Staff recruitment on-line |
74.0 |
7.5 |
11.1 |
4.0 |
2.0 |
1.4 |
|
Staff training on-line |
80.2 |
3.7 |
8.2 |
3.4 |
3.1 |
1.4 |
The features of websites were investigated and the importance of each function was rated by the active companies (i.e. those doing each website activity). The proportions of the website companies implementing each function and the mean importance ratings are summarised in Table 3.2. The most frequent website functions are clearly communication features that enable information-sharing on the company and create links to key stakeholders (e.g. customers and alliance partners). A list of products or services was reported for almost every website and company data was provided on three quarters of the websites. Approximately half of the websites featured generic promotions, and one third reported having customised promotions. Reflecting the importance of strategic alliances and networks, links to alliance partners were featured on half of the websites. However, only 59 companies reported links to an electronic trading hub, which indicates that current levels of involvement in electronic marketplaces were very low.
Table 3.2 Website Features
|
Features |
Percentage % |
Mean Importance1 |
|
Lists products/services |
94.3 |
3.89 |
|
Provides company data |
75.6 |
3.36 |
|
Provides generic promotions |
54.9 |
3.36 |
|
Links to alliance partners |
49.3 |
3.27 |
|
Receives customer orders |
39.6 |
3.61 |
|
Provides after-sales support |
33.7 |
3.54 |
|
Provides customised promotions |
33.4 |
3.58 |
|
Provides secure transactions |
23.1 |
4.06 |
|
Receives payments on-line |
15.3 |
3.61 |
|
Maintains account records |
13.0 |
3.81 |
|
Tracks delivery services |
12.3 |
3.44 |
|
Links to e-trading hub |
8.9 |
3.30 |
|
Sends bills on-line |
7.8 |
3.32 |
Note 1 Importance ratings were made on a scale of 1 – 5, where 1 is very low, 3 is moderate and 5 is very high.
Although only one in five websites were capable of providing secure transactions, this feature received the highest mean importance rating. Listing products/services was the second most important website function for these organisations. Other website features with relatively high mean ratings focus on transaction processing capabilities, including maintaining accounts, receiving payments and taking customer orders on-line.
Further data on the scale of website activities were collected. Specifically website companies were asked to estimate the proportions of total business activities conducted via websites in three areas: (1) on-line products, (2) on-line purchases, and (3) web sales. Figure 3.2 shows the estimated mean percentages reported for the current period (i.e. for the year 2000), and for the future (i.e. predictions for 2002). The scale of current activities was low for both on-line purchases and web sales (approximately 6% of total purchases/sales). However, website companies reported that 45% of their total product lines were on-line in 2000. For all three of these key business areas, growth of 15% was expected (on average) by 2002.
Figure 3.2 Scale of Website Activity
![]() |
The primary motives for involvement with E-Business initiatives were examined for the organisations with websites. Figure 3.3 shows the top five factors ranked according to mean importance values. These factors reflect the broad spectrum of strategic positioning to improve performance through efficiency, new markets, and new sales channels. Increasing efficiency was the most important motivation for these organisations (mean 3.91). A proactive stance to stay ahead of competitors was perceived to be more important than was the reactive approach of keeping up with competitors. The factor that rated as the least important motivator for E-Business initiatives was providing employment (mean 1.60). Staying in business was also not perceived to be a major motivator for adopting E-Business initiatives.
Figure 3.3 Primary Motives for E-Business Initiatives
![]() |
The impacts of E-Business activities on the operations and performance of New Zealand organisations were evaluated by the companies with websites. A comprehensive series of 41 potential benefits and opportunities were identified, including financial factors, market positioning, customer services, supplier relationships, communication issues and productivity measures. Respondents rated all of the factors that were applicable to their organisations on a scale from 1 to 5 (where 1 is very low importance and 5 is very high importance). The ten most significant impacts of E-Business activities are listed in Table 3.3 according to their mean importance rating. Mirroring the strategic motivations identified above, five of these key factors focus directly on improving customer service, communications and relationships, and three represent opportunities to expand the scope of the business. Achieving gains from improving efficiency was also recognised by these website companies. Enhancing company image was rated as the most important benefit of participation in E-Business activities.
Table 3.3 Ten Most Important Impacts of E-Business
|
Ranking |
Factor |
Mean Importance |
|
1 |
Enhancing company image |
3.93 |
|
2 |
Improving information exchange with customers |
3.77 |
|
3 |
Faster response to customers |
3.64 |
|
4 |
Improving competitive position |
3.56 |
|
5 |
Creating new business opportunities |
3.56 |
|
6 |
Providing access to new customers |
3.55 |
|
7 |
Improving customer service |
3.53 |
|
8 |
Increasing efficiency of business processes |
3.49 |
|
9 |
Removing geographic barriers |
3.48 |
|
10 |
Building customer relationships |
3.43 |
To provide a contrast, the ten factors with the lowest mean importance ratings from the list of 41 evaluated by the website companies are provided in Table 3.4. Participation in E-Business activities was perceived to have limited direct impact on these activities which include specific financial, staffing, and purchasing tasks.
Table 3.4 Ten Least Important Impacts of E-Business
|
Ranking |
Factor |
Mean Importance |
|
1 |
Improving stock market valuation |
1.59 |
|
2 |
Reducing the number of suppliers |
1.79 |
|
3 |
Reducing staff levels |
1.88 |
|
4 |
Increasing outsourcing of non-core business activities |
1.93 |
|
5 |
Reducing financial risk |
2.00 |
|
6 |
Attracting new investment |
2.00 |
|
7 |
Increasing staff retention |
2.02 |
|
8 |
Increasing buying power |
2.14 |
|
9 |
Increasing flexibility to change product portfolio |
2.39 |
|
10 |
Reducing procurement costs |
2.42 |
The implementation phase is critical for the effective uptake of any new IT-based business processes or systems. Implementation of E-Business initiatives was considered in this survey by examining the specific resources required, the types of advice needed, the sources of assistance utilised, the major difficulties involved, and the measures required to improve uptake of E-Business.
The importance of a series of specific resources for implementation of E-Business initiatives was examined for the website companies. Figure 4.1 shows the five resources with the highest mean ratings. Not surprisingly, technological expertise scored the highest mean rating of 4.1. Other key resources included a mix of management skills, technical resources, and administrative systems. These results indicate that implementation of E-Business initiatives depends upon a business solution that integrates across management, administration and technical systems. Clearly these companies are saying that implementation of E-Business requires much more than just technical and technological resources.
Figure 4.1 Resources Needed for E-Business Implementation
![]() |
The types of advice needed for the implementation of E-Business initiatives were evaluated by the website companies. Figure 4.2 shows the five most important types of advice which reflect the full spectrum of management expertise. These results are consistent with the findings reported above on resources and also with the previous E-business survey by Deloittes (2000). Technology solutions rated as the most important type needed for E-Business implementation (with a mean of 4.08). At the other end of the spectrum, supply chain management advice was ranked last with a mean importance rating of 2.32 (on a scale from 1-5).
Figure 4.2 Advice Needed for E-Business Implementation
![]() |
Twenty potential sources of assistance with implementation of E-Business initiatives were investigated. Managers in the website companies indicated the advisors they had consulted, and rated the importance of these advisors to implementation of their E-Business projects. Table 4.1 shows the proportions of the website companies consulting each type of advisor and the associated mean importance ratings. The leading source of assistance, consulted by over two thirds of the organisations, were web-page developers. Other key technical sources for approximately half of the website companies were software vendors, Internet service providers, hardware vendors and computers services companies. Contrary to the Deloitte findings, only 24% indicated that they used consultants (c.f. Deloitte 43.4%) or their current business advisors. Interestingly, 40% of these New Zealand organisations consulted their customers for advice with their E-Business developments. However, only 12 companies sought E-Business advice from government advisors, BIZ Info and Technology New Zealand; and 19 used assistance from Trade New Zealand. While each of these public sources of information or support target different market segments, these findings suggest that government sources of assistance on E-Business could be utilised more widely.
Table 4.1 Assistance with E-Business Implementation
| Source of Assistance Consulted |
Percentage % |
Mean Importance1 |
|
Web page developers |
70.8 |
3.97 |
|
Software vendors |
58.3 |
3.97 |
|
Internet service providers |
58.2 |
3.41 |
|
Computer services, solutions |
49.9 |
3.78 |
|
Hardware, solutions vendor |
49.9 |
3.69 |
|
Customers |
40.3 |
3.87 |
|
Informal networks |
28.8 |
3.22 |
|
Other companies doing E-Commerce |
24.3 |
3.15 |
|
Consultants |
24.3 |
3.58 |
|
Current business advisors |
23.0 |
3.28 |
|
Parent or related companies |
21.4 |
3.70 |
|
Current suppliers |
19.7 |
3.33 |
|
Alliance partners |
18.9 |
3.38 |
|
Distributors |
14.7 |
3.45 |
|
Industry association personnel |
12.7 |
3.27 |
|
Key investors |
7.8 |
3.39 |
|
Trade New Zealand |
3.0 |
2.56 |
|
Government advisors |
2.0 |
3.60 |
|
BIZ or BIZInfo |
1.9 |
2.27 |
|
Technology New Zealand |
1.9 |
2.71 |
Note1 Importance ratings were made on a scale of 1 – 5, where 1 is very low, 3 is moderate and 5 is very high.
The effective implementation of E-Business initiatives is influenced by many organisational and environmental factors. To investigate the difficulties involved with E-Business implementation, we asked all of the respondents from computer-using organisations to rate the importance of thirty potentially inhibiting factors on a scale from 1 to 5 (where 1 is very low importance and 5 is very high importance). Table 4.2 lists the mean importance values for the top ten factors for the two major sub-groups: (1) companies with websites, and (2) companies without websites. Although eight of the top ten factors were the same for both groups, they were ranked in a different order as shown in the table. Furthermore, mean importance values from the non-website companies were higher than were means from the website companies for nine of these factors. The differences for these nine factors, and thirteen others included in this question, were statistically significant.
Table 4.2 Difficulties with E-Business Implementation
|
Mean Importance Rating1 |
Mean Importance Rating1 |
Probability:2 | |
|
Low customer use of E-commerce |
3.25 1st |
3.14 5th |
.172 |
|
High costs of computing & network technology Limited knowledge of technologies |
3.00 2nd 2.97 3rd |
2.93 11th 2.89 13th |
.366 .266 |
|
Uncertainty of financial benefits Concerns about security aspects Lack of time to start new projects Lack of experienced IT staff Limited knowledge of E-Business models Business partners not ready Limited size of target market |
2.88 4th 2.88 5th 2.86 6th 2.85 7th 2.81 8th 2.78 9th 2.77 10th |
3.49 1st 3.05 10th 3.25 3rd 3.07 8th= 3.10 7th 3.19 4th 3.41 2nd |
.000 *** .036 * .000 *** .005 ** .000 *** .000 *** .000 *** |
|
Low supplier use of E-Commerce Cannot see the benefits yet |
2.72 11th 2.30 20th= |
3.11 6th 3.07 8th= |
.000 *** .000 *** |
Notes 1 Importance ratings were made on a scale of 1 – 5, where 1 is very low, 3 is moderate and 5
is very high.
2 Anova F test; * p < .05, ** p < .01, *** p < .001.
For website companies, the top three difficulties were low customer use of E-Commerce and two technological issues (high costs of computing and network technology, and limited knowledge of technologies). The mean values for these three factors were in the moderately important range for both subgroups and the differences were not statistically significant. For companies without websites, the top three inhibiting factors were viability issues linked to financial returns, market size and resources (specifically time). The role of partners, customers and suppliers in E-Business implementation was recognised and the lack of readiness of these groups to do business electronically was perceived as a major source of difficulties by the non-website businesses. These findings also indicate that the inhibitors of E-Business adoption and implementation extend beyond the technological resources required, to incorporate a wide range of internal organisational and external contextual factors.
The uptake and effectiveness of E-Business activities is influenced by many contextual factors beyond an organisation's boundaries and control. All of the respondents from computer-using organisations were asked to rate the importance of twelve potentially key factors. Table 4.3 lists the mean importance values for all of these factors for the two major sub-groups: (1) companies with websites, and (2) companies without websites. Although the top four factors were the same for both groups, the factors were ranked in a different order as shown in the table. Furthermore, differences in mean importance values were found to be statistically significant for half of these factors.
As in the APEC study of E-commerce in SMEs (1999), improving the telecommunications infrastructure was rated as the number one factor by the website companies, with the highest mean importance; this factor was rated 3rd by the non-website companies. Improving security and training for E-Business were the two factors found to be most important by companies without websites for improving E-Business uptake. Consumer access to the Internet was perceived to be more important by the website companies, but business access to the Internet was not significantly different in both groups. Consumer protection legislation was more important for the non-website companies. Legislative requirements for areas such as tax and legal issues, and the government's own e-services, were at the bottom of the rankings for both groups. Although perceived to be only moderately important for the uptake of E-Business, legal and tax policies were significantly more important for the non-website companies
Table 4.3 Measures to Improve E-Business Uptake
|
Mean Importance Rating1 |
Mean Importance Rating1 |
Probability:2 | |
|
Telecommunications infrastructure |
3.711st |
3.48 3rd |
.002 ** |
|
Consumer access to the Internet Improved security |
3.58 2nd 3.54 3rd |
3.37 4th 3.70 1st |
.007 ** .024 * |
|
Training for E-Business Business access to the Internet Promotion of E-Business use Consumer protection legislation National strategy for E-Business Provision of web-page facilities Legal issues |
3.53 4th 3.42 5th 3.40 6th 3.13 7th 3.05 8th 3.03 9th 2.86 10th |
3.67 2nd 3.29 7th 3.35 5th= 3.35 5th= 3.14 9th 3.22 8th 3.03 10th |
.053 .094 .516 .010 ** .327 .019 * .026 * |
|
Tax incentives Government services on-line |
2.82 11th 2.74 12th |
3.02 11th 2.80 12th |
.022 * .441 |
Notes 1 Importance ratings were made on a scale of 1 – 5, where 1 is very low, 3 is moderate and 5 is very high.
2 Anova F test; * p < .05, ** p < .01, *** p < .001.
E-Business involvement potentially impacts on both strategic and operational activities of organisations. The strategic nature of E-Business decisions was examined by asking all of the companies surveyed if they had an explicit E-Business strategy. From all of the respondent companies, 25.3% reported having an explicit E-Business strategy, and 74.2% of these companies believed their E-Business strategy would provide a source of competitive advantage. Moreover, recognising that competitive advantages are mostly temporary, the average expected duration of the competitive advantage reported by these companies was 17 months. On average, companies with an explicit E-Business strategy invested $1.13 million in their E-Business initiatives; this was on average fifteen times the investment made by other respondents.
Companies with explicit E-Business strategies reported on the types of people and processes involved in the development of the strategy, as shown in Figure 5.1. Senior management reported having taken a strong leadership role in the development of their company's E-Business strategy. A consultative approach was adopted for this strategy making process by 43% of these companies. To assist with their strategy development, 40% of the companies used their own information technology staff. External assistance was also contributed by advisors or consultants (25%), E-Business specialists (15%) and/or alliance partners (8%).
Figure 5.1 E-Business Strategy Development
![]() |
The basis for competitive positioning was examined for all of the organisations. The importance of three core E-Business activities were investigated including: E-Business processes, E-Business transactions with other businesses, and on-line sales to customers. They were each rated on a scale of 1 to 5 (where 1 is very low and 5 is very high importance). Figure 5.2 shows the mean importance values for each activity for (1) all respondents in the sample, (2) companies with websites, and (3) companies with explicit E-Business strategies. Although the mean ratings were below the moderately important level for all of these activities, it is interesting to note the importance rating of each activity increases in accordance with the groups respective involvement in E-Business.
Figure 5.2 E-Business Competitive Positioning
![]() |
A series of key results from a state-of-the-art survey on E-Business practices in 1229 New Zealand organisations were outlined in this report. These findings confirm and extend the previous telephone survey commissioned by the Ministry of Economic Development (2000). Although the levels of computer use were very high for activities such as email and information exchanges, there was considerable scope for further development of electronic business activities. Approximately half of the companies had websites that performed a range of communication and transaction processing functions. Only one in five websites were capable of secure transactions and one in seven websites were receiving payments on-line. While the scale of current activities was low for both on-line purchases and web sales, website companies were optimistic in expecting a 15% growth in on-line activities over the next two years (by 2002). Motivations for involvement with E-business activities reflected proactive strategic positioning to improve performance through efficiency, new markets and new sales channels. Significant benefits from E-Business were identified by the website companies in line with their strategic aspirations; these included opportunities to improve efficiency, expand business scope, and improve service, communications and relationships with customers. However, to achieve the benefits identified for E-Business initiatives, the scale of electronic activities will need to increase significantly in most New Zealand organisations.
In terms of E-Business implementation, the results confirm the need for both technological and managerial knowledge and systems. Although E-Business activities are based upon technological transactions and communications, an integrated business solution, coupled with extensive managerial acumen, is required to maximise the return from electronic modes of business. Many different types of advisors, including web-page developers, software vendors, other technical support providers and business contacts, were consulted for assistance with E-Business implementation. Customers emerged as a very important source of assistance for 40% of the website companies. However, only a small number of respondents reported utilising government sources for advice on E-Business implementation.
Inhibitors to E-Business implementation also extended beyond technological resources to incorporate a broad range of organisational and external factors. For the website companies, the top inhibitors were low customer use of E-Commerce, limited knowledge of technologies and the high costs of computing and network technology. However, companies without websites were more concerned with viability issues, including uncertainty of the financial benefits, limited size of the target market, and lack of time for new projects. Furthermore, the lack of readiness for E-Business by other key players, including partners, customers and suppliers, were perceived as major difficulties by the non-website businesses.
To improve the uptake and effectiveness of E-Business in New Zealand, many structural, socio-economic, and educational issues need to be addressed at national, regional and industry levels. For the New Zealand website companies surveyed, the two most important factors were improvements to the telecommunications infrastructure and consumer access to the Internet. Companies without websites were more interested in seeing improvements in security and the provision of training for E-Business.
The nature and extent of E-Business strategies and their development was also investigated. One quarter of the respondent companies were found to have an explicit E-Business strategy. Three quarters of these companies perceived that this would provide a source of competitive advantage, which was by nature temporary and expected to last 17 months on average. Companies with explicit E-Business strategy invested significantly more in their E-Business initiatives than did other respondents.
Further analysis of this extensive research database will examine the impacts of scale and scope on E-Business activities, identify trends in each industry, and explore adoption enablers and inhibitors. The business strategies and competitive positioning of E-Business initiatives will be further evaluated. As this large sample represents such a wide range of New Zealand organisations, the results will provide an invaluable independent source of information for the emerging E-Commerce strategy. In addition, key findings will be summarised for policy developers and to provide guidelines on E-Business for managers.
This paper was funded by the University of Waikato Vice-Chancellor's E-Commerce Fund (2000) and the Foundation for Research, Science and Technology grant, UOWX0016.
Berryman, E. 2000. Getting on with the Business of E-Business. PriceWaterhouseCoopers www.pwcglobal.com/ retrieved 17/06/00.
Deloitte Touche Tohmatsu. 2000. Deloitte E-Business Survey: Insights and Issues facing New Zealand Business. 20 pp.
Dillman, D.A. 1978. Mail and Telephone Surveys: The Total Design Method. Wiley: New York.
Ministry of Economic Development (MED). 2000. Electronic Commerce in New Zealand: A Survey of Business on the Internet, Information Technology Policy Group, Competition and Enterprise Branch. 13 pp.
PriceWaterhouseCoopers. 1999. SME Electronic Commerce Study (TEL05/97T). Asia Pacific Economic Cooperation (APEC) Telecommunications Working Group, 37 pp.
PriceWaterhouseCoopers. 2000. Electronic Business Outlook for the New Millennium. 40 pp.
Wetenhall, P., Sutherland, G. and Boven, R. 2000. After the Land Grab: B2B E-Commerce in Australia and New Zealand. Boston Consulting Group, 30 pp.
Industry Distribution of Population and Sample (%)
|
Industry |
Population |
Our Sample |
|
Agriculture, forestry and fishing |
3.10 |
8.90 |
|
Minin |
0.33 |
0.64 |
|
Manufacturing |
18.32 |
21.91 |
|
Electricity, gas and water supply |
0.24 |
2.00 |
|
Construction |
7.81 |
9.27 |
|
Wholesale trade |
8.97 |
13.54 |
|
Retail trade |
12.14 |
4.36 |
|
Accommodation, cafes and restaurants |
7.31 |
1.82 |
|
Transport and storage |
4.66 |
6.18 |
|
Communication services |
0.49 |
4.27 |
|
Finance and insurance |
1.39 |
4.18 |
|
Property and business services |
12.46 |
8.09 |
|
Government administration and defence |
0.82 |
3.37 |
|
Education |
10.39 |
3.27 |
|
Health and community services |
6.99 |
1.73 |
|
Cultural and recreational services |
2.17 |
1.09 |
|
Personal and other services |
2.41> |
5.36 |
Source: New Zealand Business Demographic Statistics 2000, Statistics New Zealand.
University of Waikato Management School Research Report Series |
The purpose of this Research Report Series is to stimulate discussion and comment. Papers in the series should not be cited or quoted in any publication without the written permission of the author(s).
Comment on papers should be addressed to the author(s) concerned.
Further copies may be obtained from the Research Administrator as follows:
Research Administrator
University of Waikato Management School
Private Bag 3105
Hamilton
NEW ZEALAND
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| Facsimile: | 0064-7-838-4063 |
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Email: |
bgamlin@mngt.waikato.ac.nz |
| Web Site: | http://www.mngt.waikato.ac.nz/research |
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