The Journal of Extension - www.joe.org

February 2011 // Volume 49 // Number 1 // Research In Brief // v49-1rb6

A Survey of Educational Needs and Online Training Perceptions in the Wood Products Industry

Abstract
A sample of 651 wood products industries were surveyed to determine their educational needs and quantify their interest in receiving continuing education via an online format. In the survey, respondents were asked to rank, in order of priority, their educational needs. With a 15.2% response rate, survey respondents (n=99) indicated that an online course in Marketing is the primary need, followed by an online course in Business Strategy Development, given a list of 26 distinct subject areas. Moreover, 88% of members indicated that they are highly interested in receiving continuous education in a Web-based online format.


Henry J. Quesada-Pineda
Assistant Professor
Department of Wood Science and Forest Products
Virginia Tech
Blacksburg, Virginia
quesada@vt.edu

Samuel S. Conn
Director, Innovative Teaching, Learning, and Assessment
Associate Professor of Information Systems
Kentucky State University
Frankfort, Kentucky
samuel.conn@kysu.edu

L. Scarlett Sanchez
Graduate Research Assistant
Department of Wood Science and Forest Products
Virginia Tech
Blacksburg, Virginia
sanchez8@vt.edu

Introduction

During the last 15 years the U.S. wood products manufacturing sector has seen an unprecedented loss of competitiveness. Research (Zi & Bullard, 2008) has shown many reasons that this underperformance exists. Moreover, several studies noted cost issues, lack of government support (Quesada & Gazo, 2006), inflation rates, inappropriate human resources (HR), and low investment in research and development—R&D—(Hovgaard & Hansen, 2004) as main reasons for this underperformance.

Significant research has been conducted related to improving business performance in the wood products industry by recommending the deployment of different business strategies (Cumbo, Kline, & Bumgardner, 2006; Gagnon & Michael, 2003), yet a transition from research to education and training still must be addressed. Industry training continues to be conducted using mainly face-to-face methods through Extension programs, and little has been accomplished to provide alternative delivery methods, such as e-learning. These opportunities need to be addressed by Extension programs as a way to reach large audiences, improve quality, and decrease cost of education (Menchaca & Bekele, 2008).

E-learning is the latest vehicle for distance learning. According to Abels (2005), distance learning is a person's ability in one part of the world to teach, by transmitting material that will be used by learners situated in any other part of the world, by diverse delivery methods. E-learning refers to "the use of internet technologies to deliver a broad array of solutions that enhance knowledge and performance" (Rosenberg, 2001).

Employee training can be a powerful tool to ensure process quality and improve competitiveness. However, training activities are costly and time-consuming, which makes Internet-based training very appealing, since it is less costly because it does not need physical classroom facilities and its scheduling is much more convenient. Moreover, e-learning makes it possible to have as instructors experts who would otherwise be very difficult, if not impossible, to reach. Companies such as IBM, Samsung, and Cisco Systems make extensive use of e-learning to train their employees (Kim, 2006). According to MacDonald and Thompson (2005), e-learning could reduce costs for learners and employers and at the same time, obtain superior results.

Ma (2006) indicates two types of e-learning communication exist: asynchronous and synchronous e-learning. In asynchronous e-learning, learners do not depend on a specific schedule. Moreover, they can see class materials at a time of their convenience and as many times as required. In the synchronous mode, teaching sessions are delivered at a scheduled time (Rosenberg, 2001). Both methods can be combined, but the preference is the asynchronous method (Ma, 2006).Top trends (WorldWideLearn, 2009) in e-learning reflect the need to use new technology, integrate e-learning with the firm's infrastructure, and access to professionals in different parts of the world.

The wood products community has not yet leveraged the advantages of e-learning, and very little is available online regarding wood science and technology. The purpose of the research reported here involves application of a survey methodology to evaluate the educational needs in U.S. wood products industries to determine what subject areas are most critical in their competitive context. As a second research goal, a determination of the level of interest among wood products firms to carry out formal or continuing education via an online format was pursued.

The results will be integrated with theories of distance education, networked learning (Jones, Ferreday, & Hodgson, 2008), cooperative freedom, learning environments (Benigno &Trentin, 2000), and successful work teams to provide the wood products industry with more effective and efficient training and social networking methods. Although HR training can be designed for all subjects areas (Robbins & DeCenzo, 2008), the following stage of the research reported here involves a focus on Web-based online training to address the top 10 most important subject areas as determined in the research.

Methodology

Our survey questionnaire was based on a multiple response format. Respondents were asked to check a specific number of items from a total number of items. This type of response format allowed the researcher to extract exactly the information needed, making the procedure efficient and straightforward (Santos, 2000). Respondents were asked to select the five most important educational needs from a list of 26 subject areas. The list of subjects was designed from a consultation of six professors at Virginia Tech in the areas of marketing, manufacturing, and business management.

The sampled population included members of the Cabinet Makers Association, Wood Manufacturing Components Associations, Virginia Wood Products Exporters, and Virginia Forest Products Association. This sample involved companies from different locations around the country, for a total of 651 companies. A total of 651 email invitations were sent. Survey participants were told to submit a response in online format or notify the research team if they prefer to return the survey by mail in hardcopy format. At the end of an 8-week period, 99 responses were returned for analysis. No reminder was sent in between due to time and cost issues (Armstrong & Overton, 1977); therefore, the issue of non-response bias is not addressed in the research reported here. Also, further examination of the data reveals no abnormalities as recommended by Israel (2009). According to Fowler (2002), when response rates are high (15.2%), the probability of error is small.

Results and Discussion

Ninety-nine surveys were returned for the study, a 15.2% response rate. All received surveys were submitted by respondents using an online format. With regard to demographics (Table 1), 63 questionnaires were answered by firms identified as having one to five employees (63.6%); eight by firms identified as having six to 10 employees (8.1%); one by a firm identified as having 11 to 15 employees (1%); five by firms identified as having 16 to 20 employees (5.1%); one by a firm identified as having 21 to 25 employees (1%); seven by firms identified as having 26 to 50 employees (7.1%); seven by firms identified as having 51 to 100 employees (7.1%); and seven firms identified as having 101 or more employees (7.1%). Similar studies in the wood products industry have shown similar percent responses in terms of firm size (Reeb, Leavengood, & Knowles, 2009; Hansen & Smith, 1997).

Also, the questionnaire asked the role of the person completing the survey (Table 1). The results show that 67 (74.4%) surveys were completed by the firm's owner; nine surveys were completed by sales and marketing persons (10%); four surveys were completed by a manufacturing supervisor (4.4%); nine surveys were completed by other positions not described in the survey (10%); and one firm did not respond to the question (1.1%).

Table 1.
Firms' Demographics

Firm SizeRelative Frequency
1 to 5 employees63.64%
6 to 10 employees8.08%
11 to 15 employees1.01%
16 to 20 employees5.05%
21 to 25 employees1.01%
26 to 50 employees7.07%
51 to 100 employees7.07%
101 or more employees7.07%
No answer0.00%
Role of Survey RespondentRelative Frequency
Owner74.4%
Manufacturing Supervisor4.4%
Manufacturing Crafts Person0.0%
Customer Service and Office Support0.0%
Sales and Marketing10.0%
Accounting and Finance0.0%
Other10.0%
No answer1.1%

Results in Table 2 show that Marketing is the most important educational need identified by the surveyed firms, with 71 responses. Scoring second on the list is Business Strategy Development, with 56 votes, and third is Financial Management, with 38 votes. Fourth place was scored by Product Innovation, with 35 votes, and fifth place involved Manufacturing Issues Related to Wood, with 32 votes. Lean Thinking Basics was the sixth-ranked topic, with 25 votes, along with Motivation and Team Building. The last subject areas of the top 10 can be seen in Table 2.

One possible explanation for Marketing and Business Strategy Development indicated as the most important educational needs in wood products industries could be the increasing concern by this industry to capture better and more strategic markets. These results might suggest that perhaps firms in this industry are now starting to understand that even in tough times it is necessary to invest resources in learning marketing and business strategies. Similar results were found by Reeb, Leavengood, & Knowles (2009) when they surveyed educational needs in Oregon in 2008.

Table 2.
Assessment of E-Learning Needs of Wood Products Industries

No.Subject AreaTotalRelative FrequencyCumulated Frequency
1Marketing710.1540.154
2Business Strategy Development560.1210.275
3Financial Management380.0820.358
4Product Innovation350.0760.434
5Manufacturing Issues Related to Wood320.0690.503
65-S: Creating and Sustaining Standardized Work Methods290.0630.566
7Lean Thinking Basics250.0540.620
8Motivation and Team Building250.0540.675
9Allocation of Manufacturing Costs230.0500.725
10Advanced Lean Thinking: Creating Work Flow200.0430.768
11Automation in Wood Products Companies170.0370.805
12Lean Costing130.0280.833
13Lean Administration110.0240.857
14Hardwood Lumber Grading80.0170.874
15Value Stream Mapping70.0150.889
16Advanced Lean Thinking: Inventory Management70.0150.905
17Developing Log Costs Based on Volume and Value Output70.0150.920
18Statistical Quality Control Using Spreadsheets70.0150.935
19Leadership Development for the Lean Enterprise70.0150.950
20Advanced Hardwood Lumber Drying60.0130.963
21Inventory Control60.0130.976
22Improving Lumber Drying Quality30.0070.983
23Basic Hardwood Lumber Drying20.0040.987
24Log Grading and Bucking 20.0040.991
25Reduction of Sawing Variation and Lumber Target Sizes20.0040.996
26Total Productive Maintenance20.0041.000

Two subjects related to financing were indicated among the top 10: Financial Management (38 votes) and Allocation of Manufacturing Costs (23 votes). If these two subject areas are merged, total votes total 58 votes, more than Business Strategy Development (56 votes). This appreciation of Financial and Cost Allocation Management seems to be a more important educational need than Lean issues (Lean Thinking Basis = 25 votes and Advanced Lean Thinking = 20 votes, total = 45 votes) and Product Innovation (35 = votes). Perhaps the economic pressure on firms in this industry to lower costs and control their assets better explains in part the motivation to rank these two subject areas higher than Lean and Product Innovation issues.

The survey results indicate that product Innovation has become increasingly important. Innovation can be realized though new products or any major and significant improvement to an existing product, a process improvement, development of a new market, or improvement of the organizational structure of a company (OECD 2005). If Product Innovation (with 35 votes) and Manufacturing Issues Related to Wood (with 32 votes) are added together, they total 67 votes, thus displacing Business Strategy Development (56 votes) from second place. Reeb, Leavengood, and Knowles (2009) found that firms in their research ranked New Product Development as 7th out of 36 educational needs, similar to the findings in the research reported here.

Findings from the research also show that more traditional areas in wood products industries, such as Advanced Hardwood Lumber Drying (with 6 votes), Improving Lumber Drying Quality (with 3 votes), Basic Hardwood Lumber Drying (with 2 votes), Log Grading and Bucking (with 2 votes), and Reduction of Sawing Variation and Lumber Target Sizes (with 2 votes), were ranked low in the list. The reasons for this order in ranking are unknown, but perhaps the majority of the surveyed firms came from the secondary sector rather than the primary industry sector. Reeb, Leavengood, and Knowles (2009), and Hansen and Smith (1997) found similar results.

The second goal of the research reported here was to ask wood products firms about their willingness to embark on continuing education courses under the modality of e-learning (Table 3). The format of the e-learning model proposed is composed of synchronous and asynchronous design. When wood products firms were asked if they would be interested in registering for online education (given that it is available) 88 (88.8%) of 99 respondents overwhelming responded affirmatively, especially considering that only 32 (32%) had previously taken an online course in either modality (synchronous or asynchronous mode).

When firms were asked if an online course with a certain level of interaction with the instructors was preferred over one with no or minimum level of interaction, 76 firms responded positively and 54 responded that they would be willing to pay even more if the online course included an opportunity to interact with the instructors. Finally, firms were queried regarding an estimated price range they might be willing to pay. Their response was that the majority (68 of 99) agreed with the suggested price range (Table 3).

Table 3.
Specific Issues About E-Learning

Questions Related to E-LearningYesNoNo Answer
If a wood product industry online course was available, would you be interested?88110
Have you previously completed an online course?32670
Do you have access to a computer for the purpose of completing online industry-related courses?9801
Would an online course accessible anytime and anywhere be of more interest to you if it provided online access to an instructor (back and forth questions and answers), instead of a course where you were completely on your own?76170
Would you be willing to pay more for a course with opportunities to correspond with an instructor compared to those courses where you merely interact with the computer?54374
Generally online professional two week courses range in price between $195 and $275, depending upon course length and breadth of material. Does this price range fall within your budget for professional development?68146

Conclusions and Future Research

The multiple response format used in the study reported here allowed for easy data collection and assessment of educational needs for the wood products industry. Marketing, Business Strategy Development, Financial and Cost Management, Lean Thinking Issues, and Product and Process Innovation were the highest ranked educational needs determined. These results are similar to previous related research in the wood products industry.

Also, when firms were asked their opinion and willingness to participate in online education based on the subject areas evaluated, results showed that 88% of respondents would be interested in spending time and money given this mode of instruction. Although previous research by other authors compares knowledge and importance of the subject areas to gain better understanding of the educational needs, the research reported here is still valid in the sense that findings support those of previous research.

Future research should be conducted to understand the real impact and efficacy of online education versus face-to-face education. The effectiveness and efficiency of online education with respect to this market sector needs additional fundamental research to alleviate many misconceptions about online education that the industry and academic venues might have.

References

Abels, P. (2005). Distance education in social work, planning, teaching, and learning. New York, NY: Springer.

Armstrong, S. & Overton, T. (1977). Estimating non response bias in mail surverys. Journal of Marketing Research. 15(3), 396-402.

Benigno, V., & Trentin, G. (2000). The evaluation of online courses. Journal of Computer Assisted Learning. 16(3), 259-270.

Cumbo, D., Kline, E., & Bumgardner. M. (2006). Benchmarking performance measurement and lean manufacturing in the rough mill. Forest Products Journal, 56(6), 25-30.

Gagnon, M., & Michael, J. (2003). Employee strategic alignment at a wood manufacturer: An exploratory analysis using lean manufacturing. Forest Products Journal, 53(10), 24-29.

Hansen, E., & Smith, R. (1997). Assesing educational needs of the forest products industry in Oregon and Virginia. Forest Products Journal. 47(4), 36-42.

Israel, G. D. (2009). Obtaining responses by mail or Web: Response rates and data consequences. Proceedings of the 64th Annual AAPOR Conference—Changing with the times. Hollywood, FL.

Fowler, F. (2002). Survey research methods. Los Angeles, CA: Sage Publications.

Jones, C., Ferreday, D., & Hodgson, V. (2008). Networked learning a relational approach: weak and strong ties. Journal of of Computer Assisted Learning. 24(2), 90-102.

Kim. W. (2006). Advances in Web based learning—ICWL 2006. New York, NY: Springer

Ma, Z. (2006). Web-based intelligence e-learning systems. Pensylvannia: Information Science Publishing.

MacDonald, C. J., & Thompson, T. L. (2005). Structure, content, delivery, service, and outcomes: quality e-learning in higher education. [Article]. International Review of Research in Open & Distance Learning, 6(2), 1-21.

Menchaca, M., & Bekele T. (2008). Learner and instructor identified success factors in distance education. Distance Education. 29(3), 231-252

Organization For Economic Co-Operation and Development (OECD). (2005). Oslo manual: Guidelines for collecting and interpreting innovation data (3rd ed.). A joint publication of OECD and Eurostat.

Quesada, H., & Gazo, R. (2006). Mass layoffs and plant closures in the U.S. wood products and furniture manufacturing industries. Forest Products Journal. 56(10), 101-107.

Reeb, J.E., Leavengood, S., & Knowles, S. (2009). Needs assestment of the Oregon forest products industry. Forest Products Journal. 59(4), 35-39

Robbins, S., & DeCenzo, D. (2008). Fundamentals of management: Essential concepts and applications (6th ed.). New Jersey: Prentice Hall.

Rosenberg, M. J. (2001). E-learning: Strategies for delivering knowledge in the digital age. New York, NY : McGraw-Hill.

Santos, J. A. (2000). Getting the most out of multiple response questions. Journal of Extension [On-line],. 38(3) Article 3TOT2. Available at: http://www.joe.org/joe/2000june/tt2.php

WorldWideLearn. (2009). E-learning trends. Retrieved from: http://www.worldwidelearn.com/elearning-industry/trends.htm

Zi, W., & Bullard, S. (2008). Firm size and competitive advantage in the U.S. upholstered, wood household furniture industry. Forest Products Journal. 58(1/2), 91-97.