ISNN 1392-3110 Social Research / Socialiniai tyrimai. 2007. Nr. 2 (10), 39–48 Entrepreneurial skills development via Simulation Business Enterprise Algirdas Garalis, Gražina Strazdienė Šiauliai University Introduction motivation and capacity, independently or within an organization, to identify an opportunity and pursue it, in order to produce new value or economic success” (European Commission, 2003). The construct of entrepreneurship is complex and there is no agreement on its definition. Kaufmann and Dant (1998) categorize entrepreneurship into three perspectives focuses, namely on: 1. Definitions stressing the characteristic traits possessed by entrepreneurs including risk taking, lea dership, motivation, ability to resolve crises, creativi ty, low level of risk aversion, decision making ability and more. 2. Definitions stressing the process of entrepre neurship and its result including the creation of new enterprise and new and valuable combinations of re sources in an uncertain and ambiguous environment. 3. Definitions focusing on the activities of en trepreneurs including searching for new markets, cre ating and managing contractual arrangements, sup plying resources, maintaining and developing profit oriented business, taking operational control of the company. Morris (1997) defines entrepreneurship as the process through which individuals and/or teams crea te value by bringing together unique packages of re source inputs to exploit opportunities in the environ ment. Reynolds et al. (2002) suggest that education is a key element in the framework conditions that en hances economic growth through entrepreneurship. Solomon et al. (2002) confirm the positive role of teaching entrepreneurial and small business manage ment skills for new venture creation and success. Universities and colleges offer a number of entrepreneurship programmes. The rise of these pro grammes has been called by student demand as stu dents look for a style of business education that will provide them with transferable skills (Cooper et al., 2004) needed to succeed in an increasingly divergent business environment. Students demand integrated programmes that teach practical skills for starting and expanding business enterprises (Farrell, 1994). Traditional business education programmes are not supplying the relevant needs of the changing business environment. Entrepreneurial education emphasizes Society is changing rapidly. It becomes increa singly based on knowledge and modern technologies. Everybody must be prepared to cope with this situa tion and to find his or her own decision. One of them is entrepreneurship. Entrepreneurship is a major dri ver of innovation, competitiveness and growth (Ac tion Plan: The European Agenda for Entrepreneurs hip, 2004). Gorman et al. (1997) suppose that entrep reneurship is the engine that drives the economy of most nations. Due to their strong presence in key sec tors such as services and knowledge-based activities, entrepreneurship has been recognized as being of fun damental importance for the economy (Bruyat and Ju lien, 2000) due to its considerable macro- and microlevel effects (Henry et al., 2003). It is maintained to be essential in giving birth to new ideas, creating new enterprises and jobs, and nurturing the economy as a whole (Hisrich and O’Cinneide, 1985). In describing various changes that have taken place at the global, societal, organizational and individual levels, Gibb (2000) supports the idea of a macro-micro spectrum of benefits to be gained from entrepreneurship. Glo balization and global pressures such as the reduction of trade barriers and advanced telecommunications and technology provide more opportunities as well as more uncertainty in the world, and thus shape govern ment/societal institutions, corporate and independent business, and individual actors. European Union encourages us to foster entrep reneurial drive more effectively. It is very important that individual who is going to become entrepreneur, should be made aware of the concept of entrepre neurship. The career of an entrepreneur should also be made an attractive option. It is very important that an education system make it possible to develop right skills to turn ambitions into successful ventures (Eu ropean Commission, 2003). The Green Paper – Entrepreneurship in Euro pe – points out that entrepreneurship is first and fore most a mindset. “Entrepreneurship is about people, their choices and actions in starting, taking over or running a business, or their involvement in a firm’s strategic decision-making. It covers an individual’s 39 which offers 80 free on-line courses as a virtual SME “university.” In addition, SBA works with SCORE, a national network of retired and working entrepreneurs and corporate managers/executives working in 389 lo cations (OECD, 2005). These volunteers provide free business counselling and advice as a public service to all types of businesses, in all stages of development. In addition, state and local governments provide fun ding for an extensive network of community colle ges, which provide academic and skills training for re sidents of the communities in which they are located. SME managers are able to use training programmes available in the community colleges to increase skill sets and seek training on business related topics. Japan. SMEs play a very important role in the Japanese economy and society - as evidenced by their share in the total firm population, the shipment volu me for which they are responsible, and the employ ment they generate. SME measures will be implemen ted in the future by the Ministry of Economy, Trade and Industry based on the following four principles: • Revitalisation of the economy and the regions through “Support for SMEs taking up market challenges”. • Training and utilisation of SME human resour ces. • Support for the revitalisation of SMEs and for the diversification/facilitation of SME financing. • Revitalisation of measures for commercial di stricts and city centres (OECD, 2005). The aim of the Japan government is to double the number of new businesses in five years. Specifical ly, efforts are being made to further enhance capital supply and other systems to directly and indirectly assist venture companies that may be short of colla teral; to provide human resource support such as the provision of training opportunities, to support tech nology development such as assistance towards the funding of prototype development models; and to pro vide expertise and other management support such as through SME support centres. Finland. In the Finnish economy, the high pro portion of small companies is accompanied by the im portant role played by large companies. Micro firms (with less than 10 employees) account for 94% of all enterprises and a large majority of Finnish firms are born and remain small, and it is argued that a need exists for a more growth-oriented perspective on the first of start-ups. The regional network of 15 Emplo yment and Economic Development Centres (EEDCs) seek to improve the operational conditions for SMEs by arranging counselling, training, and enterprise de velopment projects. These activities aim to stimulate the establishment of SMEs; develop business skills of management and personnel; develop skills in mar imagination, creativity, and risk taking in business whereas traditional business schools tend to overemphasize quantitative and corporate techniques at the expense of more creative skills (Porter, 1994). The aim of the research is to provide a theo retical substantiation for entrepreneurial skills taught in Lithuanian colleges via Simulation Business En terprises and to detect the expression of these skills amongst the students. The objectives: 1. To find out the theoretical foundations of the di mensions of entrepreneurial skills. 2. To design the model of entrepreneurial skills taught in Simulation Business Enterprises and to detect their main diagnostic and methodological characteristics. 3. To investigate the expression of entrepreneurial skills taught in Simulation Business Enterprises. The methods of the research: analysis of theo retical literature, statistical data Entrepreneurship and Economic Development This section will draw attention to the experien ces of the US and leading Europen OECD countries in promoting entrepreneurship, noting differences in how these countries value entrepreneurship and en trepreneurs. It will be discussed what role entrepre neurship plays in economic development. The United States. The dynamic small busi ness sector is a vital part of the US economy. Small business generates USD 4 trillion of annual economic output, 68 million jobs, one-third of foreign trade, and represents approximately 40% of total economic activity (OECD, 2005). In the United States, small businesses account for 54.1% of goods-producing industries and 49.2% of service-providing industries. The US Government recognises the pivotal role of small businesses in the marketplace, and the barriers that agency regulations can create. While small businesses are key producers in the US economy, they spend more money per em ployee to comply with regulations than their larger producer counterparts. In the past few years, the Uni ted States has taken significant steps towards a more small-enterprise-friendly environment. The US Small Business Administration (SBA) and private sector partners make available technical assistance programmes, including training, counsel ling and mentoring, and information services to more than four million existing and potential small busi ness entrepreneurs annually. SBA provides grants to private sector-managed networks of 1100 Small Busi ness Development Centres, 105 Women’s Business Centres and the Small Business Training Network 40 financing of the introduction of: quality systems, innovations, logistics as well as the establishment of new or the expansion of existing recycling units, or units that provide quality services. Germany. In Germany, SMEs are regarded as a driving force economic growth for behind structural change. Education and training are essential prerequi sites for an efficient, highly-developed industrial sec tor (OECD, 2004). SMEs, in particular, need skilled labour for knowledge-based procucts and services. In a country with few raw materials and an ageing popu lation, economic prosperity requires high and rising levels of investment in knowledge and skills. Accor ding to the latest PISA studies of the OECD, Germa ny needs to improve its education system especially in secondary schools, but also in primary schools and higher education. A highly-skilled labour force tends to stimulate innovations. As many as 10 000 German companies cancelled innovative projects due to lack of suitable skilled personnel. Successful innovation policy be gins within the education system. Government seeks to increase the percentage of school-leavers going to university to 40% from 2003 until 2010. At the same time, universities have been made more at introdu cing international degrees, shorter study periods and the status of a professor (OECD, 2005). The Federal Government has also launched a special “training initiative”: campaign for young per sons in collaboration with industrial associations and trade aim is to expand the supply of skilled workers in the future by reducing the scarcity of private trai ning places. keting and internationalisation; promote product de velopment; promote the utilisation of new technology and improve productivity; increase co-operation bet ween enterprises and promote networking; and deve lop service enterprises. Management training organised by the EEDCs is designed specifically to meet the needs of SMEs and during the training process the emphasis is on the practical approach both in terms of the selection of teachers and the teaching methods. Specialist and consultation services are nationwide brand products and the quality of specialist and consultation services is ensured in advance by careful selection of qualified specialists who are subject to strict eligibility criteria and who are given the appropriate training to deliver the programme (OECD, 2005). United Kingdom. The United Kingdom has ap proximately four million SMEs (including businesses run by the self-employed). 99% of them employ fe wer than 50 people, and these small businesses pro vide 46% of private sector employment and 38% of turnover outside the financial sector (OECD, 2005). The Small Business Service (SBS) and the Ca binet Office continue to work to ensure that all new policies and regulations are designed and implemen ted in a way that minimises the burdens on small bu sinesses. The SBS has developed a database of more than 1 200 small businesses that are willing to engage with the government in this process. The SBS conti nues to assist government departments in consulting small business prior to formulating policy and to work in partnership with small businesses and their representative bodies to ensure that their concerns about regulatory proposals are considered. SBS also works closely with government agencies, local autho rities and businesses so that sensible national and lo cal enforcement regimes are adopted. Greece. SMEs are at the heart of government policy which aims at improving the competitiveness of enterprises, in recognition of the potential of SMEs and their decisive contribution to the economic and social life of Greece, especially in relation to emplo yment creation and the improvement of competitive ness. There are many national programmes that are aimed at assisting SMEs. They are as follows: • Integrated business plans for small and very small enterprises: The programme, which is addressed to manufacturing enterprises that are at least threeyears old, finances entire two-year business plans. • Networking of SMEs: The programme is addres sed to existing SMEs in manufacturing Technologi cal modernisation of enterprises: The programme is targeted at manufacturing SMEs and supports the Development of entrepreneurship via Simulation Business Enterprise This section seeks to identify the successful method of entrepreneurial and enterprising activities within Simulation Business Enterprise. The attempts to teach business via simulation are common in many countries. The network of “virtu al business” has been in existence in Europe for over 30 years (Kaufmann & Sepe, 1998). This method of teaching came from Denmark and was adapted in Lit huania by educators of business subjects who took courage to renew their teaching skills and to put in to practice the methods and techniques modelled in pedagogy of other countries. The Concept of Simula tion Business Enterprise in Lithuania was introduced in 1993 when Lithuanian - Danish Practice Firm Pro gramme started. As the result of the project, the first six Simulation Business Enterprises were established at the end of the year. Simulation Business Enterprise is a virtual en 41 dents review previous business and marketing plans and annual reports to create goals and objectives for the business. Students like employees react to mar ket forces by developing their skills in dealing with commercial transactions, solving problems, making decisions, managing and running the enterprises. They may be asked to analyze previous international sales and to enter a new foreign market. This activi ty would require completing research on real market for the product. Students learn how to develop and investigate marketing strategies and implement fi nancial disciplines. They are able to design, test and evaluate new techniques, demonstrate diverse talents and acquired integrated skills, in entrepreneurship, communication, information technology, e-business. A huge attention is given to implementation of new information technologies widely used in Lithuania in Simulation Business Enterprise daily work. In the Simulation Business Enterprise, such information technology applications for data processing are used accounting, personnel, customs, sales, cc client and cc client banking software. The Simulation Business Enterprise has its own webpage, which is constantly renewed by students. terprise which simulates the work of “real” business enterprise. Each Simulation Business Enterprise tra des with other enterprises, following commercial bu siness procedures in the Simulation Business Enter prise’s worldwide economic environment. The Simulation Business Enterprise is studentcentred learning model which requires that students work in teams, learn from one another, use informa tion technology to solve everyday business problems and think creatively to solve problems and practice written and oral communication routinely. By com bining hands-on business experience in a protected environment with the opportunity to develop critical thinking and problem-solving skills, students are pre pared to compete effectively in the world of business. Students learn in a way that allows them to improve their ability to handle information, to make decisions, to work independently and in groups, to set up objec tives and evaluate results. The main aim is to give students practical business skills and to develop the competence of entrepreneurship. Students have opportunity to work in various departments for some period of time and to develop and measure their skills in each sphere of business activity. At the beginning of practical training stu Picture 1. Social, professional and technological skills gained in the Simulation Business Enterprise 42 The E-shop operating in the EUROPEN net work was created in the year 2004. Students prepa red a commercial about the practical training that explains the practice firm concept, demonstrates prin ciples of working with the software, informs about the achievements of the Simulation Business Enter prises’ fairs and shows a newly prepared catalogue. Good relations with social partners gave results. All information technology applications for data proces sing were donated by sponsor companies. Simulation Business Enterprise is responsible for preparing students for labor market and demonst rating their professionalism and competency in under taking real office administrative work using the Simu lation Business Enterprise’s safe economic training methodological environment – highlighting their so cial, professional skills and information technology skills. According to Europen Leonardo project which developed minimum quality standards for Simulation Business Enterprise, the skills that companies regard as important were grouped into three categories: social, professional and technological skills. Each group encompasses a range of skills. The grouping of social, professional and technological skills is presen ted in picture 1. The research results confirmed that the Simula tion Business Enterprise teaches the skills required by the real business world (Temkov, 2003). Employabili ty skills are one group of skills which are demanded from the employees to work successfully in the com pany and which are vital for those who are seeking to get a job. Employability skills involve such skills as communication, information processing, adaptabi lity, independent decision-making, rights and duties as a citizen and consumer, learning and self-deve lopment, languages, initiative and creativity, critical ability, work process management, problem solving, self-confidence and uncertainty, thinking and doing (Piotrowski, Bednarczyk, 1997; Anderson, Marshall, 1996; Hendrikse, 1997). The degree of importance given to employability skills reflects the view that in the market economy people need to develop emplo yment-related skills not only to get jobs, but also to keep them and to move from one job to another as required by shifts in the labor market. Interestingly, employment skills are also seen as a legitimate part of education, reflecting the need to prepare young pe ople for work. The American Association of Community Col leges compiled the following list of skills essential for productive employees (Weber, 2002): • interpersonal skills, including speaking, listening and the ability to be a part of the team; • ability to find information using technology; • • writing skills to communicate effectively; international perspective and understanding of different cultures; • knowledge of foreign languages; • knowledge of the world geography. The above mentioned skills closely correspond with those pointed out by Europen as social, profes sional and technological skills. Research methodology A survey questionnaire was completed with stu dents who took part in the training in Simulation Busi ness Enterprise in the beginning of the year 2007. The survey was anonymous and the respondents were not identifiable in any way. A total of 150 questionnaires were sent out and 21 questionnaires were returned as undeliverable. In total 103 responses were received. A 5-point Likert-type scale was employed to facilita te student responses. The questionnaire was based on Hisrich and Peters (1998) categorization of technical, business management and personal entrepreneurial skills re quired by entrepreneurs. They are as follows: Technical skills: include written and oral com munication, technical management and organizing skills. Business management skills: include planning, decision-making, marketing and accounting skills. Personal entrepreneurial skills: include inner control, innovation, risk taking and innovation. In addition, Hisrich and Peters (1998) stress the development of inner control, risk taking, inno vativeness, being change-oriented, persistence and visionary leadership. The questionnaire was complemented with the entrepreneurial skills observed by Galloway (2005) who suggests that such skills as initiative, commu nication, organization, people management, team working, negotiation skills, problem-solving ability, confidence, creativity and financial acumen are im portant for entrepreneurship. Research results In order to determine the entrepreneurial skills which are essential for entrepreneurship, the students were asked to indicate if they considered selected skills associated with entrepreneurship education important for starting a business. Additionally, they were asked to indicate if they have these skills and if they believe that Simulation Business Enterprise has developed entrepreneurial skills. Table 1 shows results of these questions. 43 Table 1 Entrepreneurial skills perception Skills Communication skills Organizational skills Technical management skills Foreign language skills Ability to work with software programms Ability to manage information flow Problem-solving ability Decision making ability Financial acumen Negotiation skills Team working skills Management skills Networking skills Planning Marketing skills Creativity Perseverance Confidence Initiative Critical thinking Risk taking Need for achievement Locus of control Desire for autonomy Intuition Innovativeness Skills developed via Simu lation Business Enterpri se, Per cent (N = 103) Std. devia Per Mean Std. de tion cent viation 0.721 97.1 4.63 0.572 0.711 98.1 4.64 0.558 0.777 92.2 4.49 0.670 0.762 83.3 4.13 1.021 Skills important for starting business, Per cent (N = 103) Skills which students have, Per cent (N = 103) Per cent 97.1 96.1 84.3 93.1 Mean Per cent 92.2 90.2 78.4 89.2 Mean 4.65 4.62 4.16 4.55 Std. devia tion 0.539 0.564 0.780 0.684 89.2 4.28 0.736 91.3 4.27 0.717 89.3 4.36 0.884 93.1 4.35 0.639 88.1 4.41 0.695 90.2 4.39 0.773 94.2 95.1 95.1 97.1 95.1 94.2 86.1 90.2 92 90.2 92.1 98.1 91.3 81.6 84.5 91.3 95.1 68 79.4 73.5 4.57 4.52 4.54 4.52 4.47 4.50 4.04 4.34 4.29 4.35 4.50 4.64 4.48 4.12 4.10 4.24 4.42 3.84 4.11 4.01 0.680 0.669 0.668 0.639 0.671 0.640 0.720 0.652 0.671 0.766 0.673 0.521 0.684 0.900 0.823 0.664 0.586 0.937 0.866 0.790 87 83.3 72.8 86.4 86.3 80.4 68 88.1 79.6 91.2 95.1 91.3 88.3 80.4 79.4 89.2 88.3 82.4 86.4 69.9 4.28 4.23 4.00 4.29 4.30 4.20 3.86 4.33 4.05 4.46 4.51 4.43 4.35 4.17 4.07 4.33 4.25 4.22 4.23 4.00 0.740 0.743 0.828 0.749 0.701 0.771 0.852 0.776 0.833 0.685 0.624 0.722 0.763 0.880 0.893 0.788 0.763 0.886 0.854 0.886 92.2 96.1 96.1 87.4 94.1 92.2 83.5 92 91.3 87.4 90 89.3 92 79.6 72.8 85.4 79.4 74.5 74.8 77.7 4.47 4.56 4.47 4.37 4.53 4.41 4.18 4.53 4.30 4.32 4.38 4.42 4.32 4.18 4.01 4.25 4.20 3.95 3.94 4.16 0.669 0.573 0.574 0.727 0.671 0.733 0.883 0.674 0.698 0.782 0.22 0.35 0.750 0.916 1.071 0.849 0.890 1.028 1.027 0.814 4.42 4.34 4.10 4.21 lop in Simulation Business Enterprise are desire for autonomy (the mean is 3.95), intuition (the mean is 3.94) and risk taking (the mean is 4,63) skills. Simula tion Business Enterprise developed financial acumen (the mean is 4.47), team working skills (the mean is 4.53), negotiation skills (the mean is 4.18), planning skills (the mean is 4.53) compared to the skills which students have. Analysis demonstrates that there are improvable areas in the activities of Simulation Busi ness Enterprise. The second set of questions seeks to investi gate the students’ intention about their business start. Students were asked if they intend to start their own business. A summary of students’ main expectations is provided in Table 2. Due to small cell size data were divided in two groups: those who intend to start business and those who do not. Students who intend to start their business within the next five years and who between the next five and 10 years were put into the first group and those who intend to start their busi ness after ten years or those who do not intend were put into the second group. The majority of students think that the entrep reneurial skills mentioned in the questionnaire are important for starting business (the mean rating is 4) and the vast majority thinks that they have these skills. Students significantly rate the impact of Simu lation Business enterprise on developing entrepreneu rial skills (the mean is above 4). When ranking the skills important for starting business, students poin ted out that entrepreneurial skills such as desire for autonomy (the mean is 3.84), innovativeness (the me an is 4.01) are less significant than other skills. All students highly rate their entrepreneurial skills (the mean is above 4) but fewer students consider networ king skills (the mean is 3.86) and innovativeness (the mean is 4) less important than other items. Simulation Business Enterprise spares more time to develop communication (the mean is 4.63), organizational (the mean is 4.64) skills, decision ma king ability (the mean is 4.56), team working skills (the mean is 4.53). According to students’ view, en trepreneurial skills that are less necessary to deve 44 Table 2 Students’ intent to start business Responses Number Percent Within the next five years 21 20.4 Between five and ten years 23 22.3 After ten years 17 16.5 Never 36 35.0 No response Total In order to assess the students’ preparedness for setting up in business and to determine their deve lopment needs drawn up students were asked to rate 6 5.8 103 100 their skills in a number of key business areas. Crosstabulation table was revealed. Table 3 shows that the re are differences in two groups. Table 3 The attitude to the skills which students have and which are developed in the Simulation Business Enterprise Intended to start business Skills Skills which stu dents have, Per cent (N = 103) Skills developed via Simulation Bu siness Enterprise, Per cent (N = 103) Communication skills Organizational skills Technical management skills Foreign language skills Ability to work with software programs Ability to manage information flow Problem-solving ability Decision making ability Financial acumen Negotiation skills Teamwor skills Management skills Networking skills Planning Marketing skills Creativity Perseverance Confidence Initiative Critical thinking Risk taking Need for achievement Locus of control Desire for autonomy Intuition Innovativeness 86.6 84.1 76.7 86 93.2 83.7 88.6 88.4 75 93.2 90.7 86.4 72.7 92.9 77.3 86 93.2 86.4 86.4 72.7 81.4 88.6 90.9 84.1 84.1 61.4 93.2 96.5 90.9 81.4 88.6 86 93.2 95.5 95.5 81.8 93 95.5 86.4 95.2 86.4 84.1 86 86.4 87.8 72.7 63.6 86.4 81.8 61.4 70.5 70.5 It was interesting to note that students who intend to start business significantly rate the entrep reneurial skills: ability to work with software pro grams, problem-solving ability, decision-making abi lity, financial acumen, negotiation skills, teamwork Not intended to start business Skills developed via Skills which stu Simulation Business dents have, Per Enterprise, Per cent cent (N = 103) (N = 103) 94.9 94.8 79.7 91.5 89.8 91.4 85.7 79.7 71.2 81.4 83.1 75.9 64.4 84.7 81.4 94.9 96.6 94.9 89.8 86.2 78 89.7 86.4 81 88.1 76.3 100 100 93.2 84.7 89.8 93.2 91.5 96.6 96.96 91.5 94.9 89.8 81.4 89.7 94.9 89.8 93 91.5 94.9 84.7 79.7 84.7 77.6 84.5 78 83.1 skills, planning and communication skills. Students who do not intend to start their business highly rate communication skills, organizational skills, technical management skills, foreign language skills, creativity, perseverance and critical thinking skills. The lowest 45 scores in the first group appeared in the technical ma nagement skills, networking skills, critical thinking and innovativeness. efficient was determined for each component on the measurement instrument and all were satisfactory. Cronbach’s alpha ranged from 0.853 to 0.760 for the three components. Factor 1: Personal skills. This measure has 9 items on the measurement instrument and includes personal skills developed in the Simulation Business Enterprise. This factor represents items relating to personal skills such as creativity, perseverance, con fidence, critical thinking and other. A KMO value of 0.818 is considered. Correlation coefficient is 0.66 ≤ r ≤ 0.76. Factor 2: Management skills. This measure has 10 items on the measurement instrument and con tains items associated with management skills such as problem solving, decision making, financial acumen, negotiation skills etc. These items were moderately correlated with a range of 0.43 to 0.72. This compo nent exhibited a reliability of 0.779 using Cronbach’s alpha. Factor 3: Efficiency skills. This measure has 7 items on the measurement instrument. These seven items were moderately correlated with a coefficient of 0.35 to 0.72. Cronbach’s alpha indicated reliability for this component as 0.760. Entrepreneurship model in the Simulation Business Enterprise Exploratory factor analysis was conducted to assess the validity of the proposed constructs of entrepreneurship. The initial factors were derived through a principal component solution, and the final solution was reached through Varimax rotation. Be cause the criterion of independence was not a strong motivator for this choice, Varimax rotation was used for ease of interpretation as it provides the simplify ing assumption of orthogonality. The rotated solution of the principal compo nent analysis is shown in Table 4 along with a short description of each item. The Kaiser-Mayer-Olkin (KMO) measure of sampling adequacy was used to measure the adequacy of the sample. A KMO value of 0.755 is considered adequate. Factor analysis reve aled three factors that explained 89.3 percent of the variance. From this result, three factors were consi dered: personal skills (9 items), management skills (10 items), efficiency skills (7 items). A reliability co Table 4 Factor analysis Factor Personal skills Management skills Efficiency skills N KMO Cronbach alfa 9 10 7 0.818 0.712 0.792 0.853 0.779 0.760 ANOVA was conducted to determine whet her there were overall significant differences among groups before proceeding with the more-specific uni variate analysis. Results are provided in Table5. Enterpreneurial skills for (ANOVA) Factor F 1.530 0.082 0.344 0.242 Personal skills Management skills Efficiency skills Enterpreneurship Table 6 Correlations Management skills Efficiency skills p 0.219 0.775 0.559 0.624 sonal skills educated via Simulation Business Enter prise (Table 6). The ANOVA indicated a significant difference between management skills (r= 0.710 p < 0.001) and efficiency skills (r= 0.599 p < 0.001) related with per Personal skills Table 5 Personal skills 1 0.481** 0.599** Management skills 0.481** 1 0,.710** ** Correlation coefficients significant on 0.01 level 46 Efficiency skills 0.599** 0.710** 1 It was interesting to point out that in the factor (personal skills) the most frequently mentioned skills were initiative (92%), perseverance (90%), confiden ce (89.3%), creativity (87.4%) and desire for autono my (85.4%). The factor of management skills embrace such skills as decision making ability (96.1%), financial acumen (96.1%), team working skills (94.1%), ma nagement skills (92.2%), problem-solving ability (96.1%) and planning (92%) skills. In the factor of efficiency skills were highligh ted communication skills (98.1%), organizational skills (98.1%), technical management skills (92.2%) and ability to manage information flow (90.2%) skills. veness less important than other skills. 4. Simulation Business Enterprise spares more time to develop communication, organizational skills, decision making ability, team working skills. Ac cording to students’ view, entrepreneurial skills that are less necessary to develop in Simulation Business Enterprise are desire for autonomy, in tuition and risk taking skills. Simulation Business Enterprise developed financial acumen, team wor king skills, negotiation skills, planning skills com pared to the skills which students have. 5. Students who intend to start business significant ly rate the entrepreneurial skills: ability to work with software programs, problem-solving ability, decision making ability, financial acumen, nego tiation skills, teamwork skills, planning and com munication skills. Students who do not intend to start their business highly rate communication skills, organizational skills, technical manage ment skills, foreign language skills, creativity, per severance and critical thinking skills. The lowest scores in the first group appeared in the technical management skills, networking skills, critical thin king and innovativeness. 6. Factor analysis revealed three factors: personal skills, management skills and efficiency skills. Conclusions 1. European Union encourages fostering entrepreneu rial drive more effectively. For individual who is going to become an entrepreneur it is very impor tant to be aware of the concept of entrepreneurship. That is why Universities and colleges are offering a number of entrepreneurship programmes which rise has been conditioned by student demand. Stu dents demand integrated programmes that teach practical skills for starting and expanding busi ness enterprises (Farrell, 1994). Traditional busi ness education programmes are not supplying the relevant needs of the changing business environ ment. 2. Simulation Business Enterprise is a virtual enter prise which simulates the work of a “real” busi ness enterprise. Each Simulation Business En terprise trades with other enterprises, following commercial business procedures in the Simula tion Business Enterprise’s world wide economic environment. The Simulation Business Enterprise is student-centred learning model which requires that students work in teams, learn from each other, use information technologies to solve everyday business problems and think creatively to solve problems and practice written and oral communi cation routinely. 3. The research revealed that the majority of stu dents think entrepreneurial skills to be important for starting business and the vast majority thinks that they have these skills. Students also signifi cantly rate the impact of Simulation Business enterprise for developing entrepreneurial skills. When ranking the skills important for starting bu siness, students pointed out that entrepreneurial skills such as desire for autonomy, innovativeness are less significant than other skills. All students highly rate their entrepreneurial skills but fewer students consider networking skills and innovati References 1 Anderson A. and Marshall V. (1996). Core versus occu pation - specific skills. London: DfEE. 2 Action plan: The European agenda for Entrepreneurs hip. Communication from the Commission to the Coun cil, the European Parliament, the European Economic and Social Committee and the Committee of the re gions. (2006). Accessed on 2005-08-20. 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(2003). Editorial. Europen Bulletin No. 26. 21 Weber C. (2002). The post – Secondary Practice Firm Concept in the United States. Europen Bulletin No. 24. A. Garalis, G. Strazdienė Entrepreneurial skills development via Simulation Business Enterprise Summary management skills and efficiency. These factors show sig nificant and complete support for the model. Results of the research reveal that there are positive relationship between diversity of learning process, perception of business envi ronment, gaining experience and group work and students’ entrepreneurial skills. Teaching and training in the Simulation Business Enterprise is becoming an activity that in creasingly requi res careful analysis of each learning situation, the develo ping and monitoring of suitable learning opportunities, the evaluation of their impact on students‘ achievement follo wed, in some cases, by the adjustments deemed necessary, and a personal or collective reflection on the whole pro cess, in order to build professional knowledge The article is focused on entrepreneurship and small business which play a central role in the European Union economy and dictate a new attitude to the role of Simulation Business Enterprise which task is to encoura ge the development of students’ entrepreneurship skills. In order to deliver effective programs in entrepreneurship, educators and community partners will need to recognize the changing dynamics of the global landscape and its ma jor impact on teaching, learning and constructing commu nities that nurture innovation and entrepreneurship. The paper analyzes the main EU documents on promoting en trepreneurship. The article examines the model of Simulation Bu siness Enterprise and seeks to measure its effectiveness on learning entrepreneurial skills. Factor analysis with the rotated solution of principal component analysis conside red three factors of entrepreneurial skills: personal skills, Key words: entrepreneurship, entrepreneurship education, simulation business enterprise. 48
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