# Introduction urrently, cluster method is one of the approaches applied by the government in the development of SMEs, due to the numerous advantages. Marcin Piatkowski (2015:313-320) reported on the possible benefits, which include profitability, skills improvement for employees, influential effect on economic policy at regional and national scales, and also the possibility of joint product promotion. Other considerations related to the contribution of SMEs in accelerating economic growth, include the increasing number of enterprises, employment generation, and an upsurge in gross domestic product (Tambunan, 2011). This study emphasizes on organization development through network management, with reference to the weaknesses of SMEs Cluster in East Kalimantan, which limit focus on the product, hence marketing tends to be slow and unable to penetrate beyond the region. However, reinforcing the network management is assumed capable of influencing the development and expansion of product distribution. This characteristics is generally attributed as weak, based on the following indicators; (1) sub-optimal interaction among stakeholders, including the local governments, banks, large companies, and associations, and also between clusters. (2) a shortfall in the distribution percentage of SMEs products outside the province of East Kalimantan, as well as the low frequency and mobility of relationships established with affiliated agencies. Based on the fundamental networking problems, this research concentrates on two basic questions, including the factors influencing the effectiveness of network management, and the development of possible achievement strategies in the development of SMEs Cluster. # II. # Theoretical Review Tambunan, (2005), reported on the ease for government to establish patterns, strategies and policies supporting the development of SMEs cluster. This was confirmed in a study by Sarah Foghani (2017:2), which made reference to the agglomeration of interrelated companies producing of similar commodities. Conversely, the concentration of businesses in one place has been associated with the relative ease of consolidation and cooperation in management, although the main theory is centered on defining the cluster as a geographical area where interrelated companies are converged. The operations are conducted in a similar sector, which is simultaneously cooperate (Porter:1998). Meanwhile, then the supporting theory asserts cluster as "an organizational form that involves stakeholder in the course of development, including some formula of partnership (Palmen & Baron, 2011:13). In another viewpoint, this is explained as a group of companies, institutions and economic agencies located in close proximity to each other (Clipa, 2012 Also, it is necessary to recognize a common value with this cluster system, with emphasis networking and cooperation (Haviernikova, 2013: Ibrahim M. Awad et al, 2017: 631-654), and as a legal entity offering support, management, and direction (Adumitroaei et al., 2013). This uniion have numerous positive effects, including better access to market and suppliers, competent human resources, and easy technology spillover of know-how (Long and Zhang (2011), needed to improve innovation capacity and competitive ability (Zhang and Luo, 2014). Meanwhile, a common aspect is that the geographic proximity of related industries or service providers share considerable interests linked through interdependences (Ibrahim M. Awad 2017: 631-654). There are good explanations for the operation of a successful cluster, in terms of increased competitiveness, which subsequently play an important role in economic growth. These initiatives tend to increase yield and innovative capacities, stimulate quick production, and attract new firms, ensuring higher quality of regional strategic planning (Stejskal and Hajek, 2012: Ibrahim M. Awad et al, 2017: 631-654). Haris (2015), defines cluster as a collection, unit, or group of objects with similar characteristics and indicators. This concept has comparableindicators with SME cluster, which is also obtainable in all kinds of businesses, interconnected with each other, and conducted in a single location. Lyon and Atherton (2000) reported on the three fundamental requirement of categorical SME industry clustering, which include: commonality, concentration, and connectivity. Based on the above description, SME cluster is then defined as a group of enterprises assumed to fulfill certain and specific requirements, including (1) commonality; refers to similarities in products, (2) concentration; a grouping of businesses with the tendency to interact, (3) connectivity; this is affiliated with interconnection and interdependence, and (4) ease to reach the market, indicated by the straight-forward recognition as a centre of industry. Developing the cluster method is one of strategy to strengthen SMEs, hence the stages of institutionalization instrument from W. Richard Scott (2003) are monitored. There are three phases in institutional development, including the regulative, normarive and cultural-cognitive, which are identified using four idnikators, encompassing the symbolic and relational system, as well as routine and artifacts. Tambunan (2008:99) reported on the use of paradigm change as a single method of organization development. the success of this strategy is not observed in the increasing the number of units but in the extent of innovative and productivity. Furthermore, Tambunan (2011: 68) implement four indicators in the development of SMEs, which include the role of SMEs, critical constraints, the women entrepreneurship development, and innovation capability. Moreover, Dipta, IW (2005) reported on the ability for facilitated associations to consequently synergize resource allocation through clusters, in a quest to create and enhance effective coaching, facilitate technology transfer, and promote information dissemination. In addition, other thoughts and ideas are possibly obtained through the identification of problems, with the following as the most common; a. Lack of production design, planning and control, b. Managing the process, c. Aspects of safety and maintenance (Eugenio López-Ortega: 2016: 59-69). The driving factors for cluster growth encompass collective efficiency, social capital, and policy (Parrilli 2009; Lucas FigalGarone et al., 2015), while Lucas Figal Garone, (2015) revealed the impact of central government authority on encouraging the development of small sectors through financial, technical, and managerial assistance. Sri Herliana (2015) emphasized on growth fact that was determined by several indicators, comprising of human resources, marketing, capital, technology, organization and management, infrastructure issues, cooperation, competitors, access to large businesses and government. Therefore, the possibility of adequately developing a cluster design through several indicators was established, including market mechanism, human resources, external support, and the role of government. This concept has the tendency of adoption with certain considerations in some cases in Indonesia, including East Kalimantan. Enhancements in innovation was identified as the engine to increase small business activities, in attempts to assure contribution towards sustainable economic growth (Sri Herliana: 2015), while competition is the trigger force of any market (Sibel Ahmedova 2015). This is particularly divided into three separate groups, including the environmental factor, industry-level and enterprise (company)-level (Sibel Ahmedova 2015). Hence, a combination of innovation augmentations and competitiveness amongst business entities is assumed to play a role in encouraging the development of businesses. However, the absence of the latter makes it difficult to achieve this target, although innovation successfully drive competitiveness. Based on the theories above, internal and external factors were concluded to have an influence on the development of SMEs cluster. Conversely, the internal factor consist of business strategy and diversity, technology, human resources, network strength, performance and productivity, as well as production and enhancement in innovations, organization and management. In addition, external factors comprises of market, customer, business competitor, government role and policy, partnership, competition, suppliers, supporting institutions, and access to large enterprises. In connection with network management, Robert Agranoff (2001) raised several basic questions based on flexibility in networks, accountability and trust issue, mutual dependency, power in networks, alongside results and productivity. Mirzadeth P. (2012) reported on three fundamental themes of network management, which include strategies, organization, and information, established under the scope of material, infrastructure, supervision of network information and equipment, as well as public relations. Therefore, network management is a study associated with planning, organizing, supervising, controlling, and accounting of affiliated resources, in attempt to maximize efficiency and productivity, as well as to allocate, deploy, coordinate, and monitor network resources. # III. # Research Method This study implements the analysis of Structural Equation Modeling (SEM), a multivariate technique encompassing a combination of factor and regression, aimed at examining the relationships between variables (Hair et al., 1998: 583). This is a confirmatory procedure, due to the analytical characteristics with the ability to describe, rather than explain affirmation. The following theory was used in the determination of samples; First, estimating the type of input and matrix of the model, with reference to Ferdinand, 2006. The data obtained from the field was compiled in a tabulation and automatically converted by the program into a covariance or correlation matrix. This was followed by changes effected by the Analysis of Moment Structures (AMOS), and the table below makes reference to the proposed model: Second, the research location determination, which was based on the existence of SME clusters and the quality of relationship, as well as the development of home industries. The sample sizes were determined based on ownership, size of SME and time of operation (Suafa Badi 2017). Hence, this study was conducted in four regions and three Cluster categories, including Batik, Food and Handicraft. The criteria used involve having a minimum of 5 units and less than 100 employees, being members of a joint business group and a part of the cluster system. Based on these concept, three hundred and fifty-one respondents were selected in four regions to be sampled, using a cluster sampling design. Therefore, data collection was performed with a full structure questionnaire, and measured on an ordinal scale, using five answer levels. # IV. # Research Finding and Discussion The effectiveness of network management is expected to have an impact in the process of strengthening network management. This is required to assess and classify the scores height for each indicator, as arranged in the four levels below: # a) Internal Factor There are seven influential internal factors associated with the effectiveness of network management, including business strategy and diversity, technology development and innovation, human resources, network strength, performance and productivity. However, a reference to the results of data analysis show three internal factors with a strong relationship, which include; # i. Network Performance There is a list of five indicators assumed to serve as a measure, although the quality of business people is known to be the most influential, in terms of network performance. Therefore, an upgrade in individual attributes enhances network performance, which subsequently reflects on the company output. The logic, however, is that business people cannot work alone, as other supporting factors are required to supplement this key quality. In addition, the policy is expected to strengthen the position of business people, as well as the institutions' status, as the Business Capital Assistance is a decisive indicator, with the tendency of being a driving force to start a business. Meanwhile, a total of three are in the high category, while the others are medium. The following are factors influencing network performance. Figure 1 shows all the role of indicators in the effectiveness of network management, with differences in the level of intensity. Furthermore, the following is a statement from a chairman of the association of the Ulap Doyo Batik Cluster; "The important key for SMEs is on leaders quality: Most of the business people in Ulap Doyo exhibit weak managerial abilities, hence activities carried out are centered on the association chairman. Therefore, progress is expected to be made only with the propagation of good technical and non-technical qualities. # ii. Business Diversity Business diversity can be observed from size, type, and design, as well as product quality, which is specifically attributed the most important, and is placed in the high category, while others indicators are classified as medium. In addition business trend tends to focus on product design, hence a reduction in attractiveness leads to difficulties in market competition. Therefore, there is need to deeply and properly analyze the aspects of quality and design, as a good design without quality has an impact on product durability, while the reverse influences sales. Conversly, size and types are not an urgent concern for SMEs Cluster businesses, reinforced by the association members of the Samarinda Rhombus Cluster: "The maintenance of consumer loyalty requires maintaining the quality of product, hence business people acquire better confidence in market expansion". These explanations emphasizes the influence of quality on business success, hence more direct attention is paid in this direction, in order to maintain consumer loyalty and ultimately support market penetration. # iii. Network Productivity The effect of network productivity on the effectiveness of management is assessed through five indicators, including the direction of the leaders to staff; business owners summit; meeting among the joint venture leaders; supervision and guidance by government staff; discussions between business owner and non-government stakeholders. In addition, most individuals in SME cluster explained the direction of leadership towards staff as the most influential indicator of productivity, designating the strength and influence of business owners. # b) External Factors Based on the results of data analysis, three external factors were identified to have a strong relationship with the effectiveness of network management. These include partnership, customer, and Policy. # i. Partnership The purpose of this research, therefore, is to determine the right institution to partner in the development of SMEs Cluster. Therefore, the measurement of network management effectiveness in patenership programs require the use of several instruments, includingthe collaboration program of SMEs Clusters with Technical and Vocational Education and Training Centers (TVETC); large companies; capital assistance institutions; Associations; as well as communities surrounding the business location. According to most affected business people, the partnership programs with TVETC, a large company, and capital assistance institutions were assumed to have a great impact on the effectiveness of network management. Therefore, it is important for government to prioritize policies to support the association between SMEs Clusters and the three institutions. The policy on standardizing product quality # Simplifying bureaucracy in proposing a business license The rational regulations and reducing tax for SME ? SOP uniformity in running business for SMEs Cluster Product marketing policies # Policies and regulations in labor management The implementation of partnership programs are observed in several locations, while the realization in Kutai Kertanegara Regency is an example for other regions. However, maximizing this approach in East Kalimantan is expected to optimize the important role of the three recommended institutions, including SMEs Cluster partner companies, supporting institutions, as well as Technical and Vocational Education and Training Centers (TVETC). Hence, partnership programs are estimated to have a significant influence on the cluster development. # ii. Policy and Government Role This study was conducted to determine the policy role in achieving effectiveness in network management. These were identified using five item, of which three were ascertained as priority by business people, including (1) simplification of regulations and tax reduction, (2) simplification of bureaucracy in busines licensing, and (3) standardization of product quality. These collectively have a significant impact, hence the need for government to immediately respond technically on issues related to these aspects. Meanwhile, product quality control is required to overcome market competition levels, which ultimately ensure customer satisfaction and maintain loyalists. In addition, the implementation of complicated regulations and high tax are known obstacles and burdens for SMEs Cluster entrepreneurs, thus the need for government to implement a different scheme in this environment. This realization is a step toward a encouraging performance. Also, business people frequently face complicated bureaucracies in managing licenses, which often causes delay in proposing legalities of individual institutions. This is possibly solved by government intervention in ensuring simplicity in bureaucy: existence and development of businesses, particularly in terms of simplifying permits and tax breaks. Therefore, the government is expected to accommodate these aspirations and take concrete steps to prepare encouraging policies. # iii. Customer Customer play an important role in the development of networks and characterization, which is measured through several indicators. This consumer-based attribute is highly considered by most business people, resulting from the ability to balance and harmonize the reciprocal relationship with the manufacturers. In addition, producers play a different role by fabricating the customer needs, which serves as the market. This relationship is mutually beneficial, hence the existence of customers greatly influence the process of network development in SMEs Cluster. # Figure 4: The role of customers in network management effectiveness The figure above is strengthened through the following statement from the chairman, Business Clinic Board; "In my opinion, the most important role of customers is activity and the desire to maintain a reciprocal relationship. This is a very helpful characteristic for SMEs Clusters to evaluate the development of businesses, primarily regarding products and market conditions". Based on the opinions above, it is establised the tremendous assistance rendered to business people, by the response from customer, pertaining to the products distributed, realized through the maintenance of mutual relations. # c) Strategy There are four strategies strongly associated with the effectiveness of network management, including; # i. Community and bureaucratic Orientated Strategy As a space to ensure creativity and innovation, the community members tend to demonstrate genuine concerns for one another. This invovles the role played in product distribution and also in ensurng loyalty and fanaticism. In addition, the role of the community orientation strategy is assessed by measuring some indicators with equal degree, which are collectively optimized by adjusting the implementation process to government programs. However, challenges are frequently experienced during direct application, and the following responses were obtained from the entire respondents: # Implementations of COS can be adjusted to government programs Based on the community orientation strategy, a government staff of Citra Niaga stated: "Managers observe the establishment of various communities by indigenous business people as an effort to develop the enterprise. This was attained through some department, including culture, art, sports, hobbies, and others, although culture and local wisdom wre attributed the most interesting, empowered to encourage SMEs. Therefore, the role of community is concluded to be very effective in these Cluster business development, especially for those with a purpose to extend culture and local wisdom, hence the need for further considerations. # ii. Accounting Management Strategy Business people with good accounting management proficiency possess the capacity to control business developments from existing balance sheets. This role is evaluated through the assessment of several indicators, assumed to greatly inspire human resource performance, based on the basic accounting functions, which becomes a strong foundation in business. The following contains general information on the roles of accounting. # Figure 6: Accounting Management Strategy This primary data is strengthened by the statement from government official: "The weaknesses of business people lies in bookkeeping and business reporting. This is frequently emphasized, as orderly and neat bookkeeping practices have been known to inspire the performance of SMEs, especially for the actors involved in the business. However, this method has not been fully developed, both personally (business people) and institutionally". iii. Workforce Management Strategy Workers plays an important role in the conduction of business activities, and also in ensuring the existence as an important asset. The role of workforce management is measured through several indicators, as employees are considered useful by business people, on the basis of expertise. These attributes subsequently influence the effectiveness of network management, and the following figure provides a descriptive illustration. The Indonesia Bank has a good commitment to the development of SMEs cluster, with priority centered on the field of food security, and also in the development of local cultural potentials. The Following is a statement by the representative of Indonesia Bank: "As a supervisor, we strongly emphasize on the importance of workforce management, hence job distribution is expected to be adjusted in accordance with expertise. This ought to be considered during the employee recruitment process, although challenges arise in the inability for business leaders to demonstrate capable management skills, hence the Indonesia Bank established a Mini University". Based on these statements and the assessment from other business inclined individuals, it is possible to conclude that the workforce management strategy provides a very significant influence on the effectiveness of network management, especially through expertise structuring. # iv. Maintain Interdependence Strategy The substance of the network encompass the relationship among stakeholder, assumed to depend on, encourage and support one another. The purpose of this research is to identify the most influential indicators of interdependence maintenance strategies, and the findings show the role of SMEs Cluster business people in controlling power, in order to avoid domination. Hence, the individuals involved are observed to have an equal position with each other, and collectively maintaining dominance in the presence or absence of business. Meanwhile, developing this strategy is required to avoid monopoly, which denotes the interdependence of members to one another, leading to the generation of stronger bonds. The following supporting data clarifies the role of this strategy: # Figure 8: Maintaining Interdepedent Strategy There is need to maintain the dependencies in SMEs Clusters, alongside position equality and connectivity among business inclined individuals. The following is a statement from one of the business people in Sarong Samarinda Cluster: "As sarong craftsmen, it is often difficult developing businesses, due to the incidence of domination (for example, in promotion programs), and a host of other problems surrounding Sarong Samarinda Cluster. However, this incidence is anticipated to not happen here, due to the equality in individual role, which creates the opportunity for healthy and pleasant competition". Based on the statements obtained from the business people, the strategy highlighted to ensure the maintenance of dependency ought to be developed. Finally, it is also possible to adequately maintain the existence of cluster, hence facilitating the strength of SME Cluster networks. Goodness of fit Index Criteria Cut of value V. # Conclusion Based on the research finding, the acquisition of organizational development through the effectiveness of network management in SMEs Cluster is achievable through the following stages: First, Focus on the Five Internal Factors. There are three internal factors confirmed to have a strong relationship with the effectiveness of network management, including (1) network performance, which is linked with the quality of business people. This is because the presence of good attributes fosters creativity in business development, and also enables the development of critical thinking. (2) Business diversity: this parameter in association with astounding network performance facilitates the creation of ideas related to qualitative production. In addition, the majority of SMEs Cluster business people reported on the maintenance of quality as a key to marketing success, resulting from the enhanced ease of establishing a company image. Network productivity: this is the outcome of appropriately conducting the previous factors, determined by the direction chosen. Therefore, an integration of these three factors is expected to encourage the effectiveness of network management. Second, Focus on External Factors. These factors have a strong relationship with the effectiveness of network management, consisting of (1) Partnership, a system of collaboration between large companies and SMEs, expected to strengthen and expand the cluster network with other agencies. (2) Policy: this relationship is possibly facilitated by implementing the appropriate governmental policies, due to the supporting role towards the existence of SMEs. Hence, there is need to focus on the preparation of regulations, provison of infrastructure, as well as access to development. (3) Customers, this is known to play a role in establishing balance and harmony, and also reciprocal relationships with producers. Furthermore, an integration of these three external factors is predicted to strongly impact on the effectiveness of network management Third, Implementing the Proper Strategy. With reference to statements from business people, four strategies were identified to have a strong relationship with the effectiveness of network management. These include; First, community and bureaucratic oriented strategy; this has proven to be effective in the development of SMEs Cluster businesses. The development of local culture and wisdom, is primarily strengthened through local government interventions, based on the provision of simple and transparent bureaucracy, as well as standardized public services. Second, accounting management strategy; this significantly inspires the performance of human resources, based on the basic functions of accounting, being a strong foundation in business. Third, workforce management; the placement of employee in accordance with expertise is known to help strengthen network management, which consequently affects the effectiveness of network management. Fourth, maintenance of interdependence; expected to control the power of business people, in order to avoid role domination. This is possible because individuals in the SMEs Cluster have equal positions with each other, which is used collectively to maintain the business and evade dominance. Furthermore, the proper implementation of these four strategies are expected to influence network management, which ultimately encourages and strengthens the existence of SMEs Clusters. 1![Figure 1: The influence factors in determine the network performance](image-2.png "Figure 1 :") Affecting economic policiesassociatedwithissuessurroundingclusterspecialization. 1No. Sample SizeModel Estimation1100.-200Maksimum Likelihood (ML)2200-500Maksimum Likelihood atau Generalized Least Square (GLS)3500-2.500Unweighted Least Square (ULS) atau Scale Free Least Square (SLS)4> 2.500Asymptotically Distribution Free (ADF) 2No.CategoryScore1Low351 to 7022Medium703 to 1.0543High1.055 to 1.4064Very High1.407 to 1.758 Hypothesis 1: There is the relationship between InternalFactors and the effectiveness of Network Management,based on the covariance (Regression Weights) of 0.210,and correlation (Standardized Regression Weights) of0.241. These were significant at p <0.5, indicating theexistence of a positive association between X1 and Y.Hypothesis 2: There is the relationship between ExternalFactor and the effectiveness of Network Managers. Thisis evidenced by a covariance (Regression Weights) of0.440 or correlation (Standardized Regression Weights)of 0.399, at significance of p <0.5, which indicate apositive correlation between X2 and Y. Furthermore, theAMOS also confirms this association in SMEs Cluster.Hypothesis 3: There is the relationship between Strategy and the effectiveness of Network Management. This is proved by a covariance (Regression Weights) of 0.471 or correlation (Standardized Regression Weights) ofYear 20210.346, at significance of p <0.5, which indicate a41positive association between X3 and Y. In addition, the AMOS test ascertains this claim, hence the specific Strategy implemented by business actors in SMEs Cluster influences Network Management Effectiveness.Volume XXI Issue VII Version I( H )1 2 3 4Chi square Probability Root Mean Square Error Approximation (RMSEA) The Minimum Sampel Discrepancy Function atau Degree of Freedom (CMIN/DF).> Chi Square table > 0,05 (5%) < 0,08 < 2 atau 31.224 .000 0,08 3Global Journal of Human Social Science5Comparative Fit Index (CFI)> 0.951 (SM)Source: Calculation Results with AMOSi. Test the Relationship among VariablesThe AMOS test was used to generate thestructural model as shown in figure 6.4. This techniqueidentified a relationship between the exogenous andendogenous constructs, and the following hypothesiswere obtained:© 2021 Global Journals The Development of Business Organization through the Effective Network Management. Case Study at SMEs Cluster in Indonesia * Innovation cluster and economic development in Bucharest Ilfov region ACAdumitroaei CIonescu SCurpan Acta Universitatis Danubius 9 4 2013 * Big Question in Public Netwotk Management Research RAgranoff Journal of Public Administration Research and Theory 11 2001 JPART * Factors for Increasing the Competitiveness of Small and Medium Sized Enterprises (SMEs) In Bulgaria SAhmedova Procedia -Social and Behavioral Sciences 195 2015 * The effect of clustering on competitiveness improvement in Hebron A structural equation modeling analysis IMAwad AAAmro Journal of Manufacturing Journal of Manufacturing 28 5 2017 * Relationship marketing in Guanxi networks: A social network analysis study of Chinese construction small and medium-sized enterprises SBadi LWang SPryke Industrial Marketing Management 60 2017 * Clusters and regional competitiveness in romania RIClipa IPohoata DFilipeanu MBTudose Annals & Proceedings of DAAAM International 23 1 2012 * Development of Business Clusters to Strengthen the Competitiveness of Small and Medium Enterprises IWDipta INFOKOP, No 27 2005 * Explaining inter-organizational network formation MEbers The formation of inter-organizational networks MEbers 1997 * Promoting Cluster and Networks for Small and Medium Enterprises to Economic Development in the Globalization Era SFohgani BMahadi ROmar 2017 * Cluster development policy, SME's performance, and spillovers: cidence from Brazil LFGarone AMaffioli JADe Negri CMRodriguez G´Va´zquez-Bare´ 2015 Spinger Publishing Journal * Cluster System in the Development of Micro, Small and Medium Enterprises, Ready to Face the Challenges of the Asean Free Trade, Association and the Asean Economic Community in 2015 AHaris 2015 * Quantitative and qualitative aspects of the clusters in the Slovak Republic KHaviernikova Economics and Management 18 4 2013 * Regional Innovation Cluster for Small and Medium Enterprises (SME): A Triple Helix Concept SHerliana Procedia -Social and Behavioral Sciences 169 2015 * Metatheory of network management: A contingency perspective. Industrial Marketing Management TJärvensivu 2009 38 * Cluster-based industrialization in China: financing and performance CLong XZhang Journal of International Economics 84 2011 * A business view of Clustering: Lessons for Cluster development policies. Foundation for SME Development FLyon AAtherton 2000 * Activity sets in multi-organizational ecologies: A project-level perspective on sustainable energy innovations KManser BHillebrand Zigge Technological Forecasting and Social Change 90 2015 * General cybernetic model for innovation network management PMirzadeh SMoattar Husseini Mb MArasti Social and Behavioral Sciences 41 2012 * Business relationships and networks: Managerial challenge of network era KKMõller AHalinen Industrial Marketing Management 28 1999 * Defining a Left-lateralized Response Specific to Intelligible Speech Using fMRI CNarain SKScott RJ SWise SRosen ALeff SDIversen PMMatthews 10.1093/cercor/bhg083 Cerebral Cortex 13 12 2003 * Guide for Cluster Initiatives' Animators in Poland LPalmen MBaron 2011 PARP Warszawa * On Competition MPorter 2001 PWE Warszawa * Organizations, Rational, Natural, and Open System WRScott 2003 Prentice Hall Upper saddle River, NJ * Promoting small and medium enterprises with a Clustering approach: A policy experience from Indonesia TTambunan Journal of Small Business Management 43 2 2005 * Development of SME in ASEAN with reference to Indonesia and Thailand Chulanlongkorn Journal of Economics 2008 ______ * Development of SMEs in ASEAN _ 2008 Readworthy Publication, Ltd * Development of small and medium enterprises in a developing country The Indonesian case 10.1108/17506201111119626 Journal of Enterprising Communities: People and Places in the Global Economy 95 1 2011 ______