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Application or Innovation in Engineering Management IJ AI E M Web Site wwwijaiem org Email editorij ai e m org editorij ai e m gmailcom Vol ume 2 Issue 6 June 2013 ISSN 2319 48 ID: 111415

Application Innovation Engineering

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International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 507 ABSTRACT Having the right product mix is very important for diversified manufact uring companies of the jobbing type operating in volatile and competitive economic and technical environments. While attempting to ensure optimal allocation of resources, companies seek to minimize the role of intuition in these complex decision processes by adopting, wherever possible and appropriate, more formalized approaches that enhance the quality of decisions. This article describes a method of objectively and holistically identifying the critical success factors which define the long - term profit max imization of a product / product segment. The process adopted was based on the assumption that each factor, both internal as well as external to the firm, had its own importance relative to the other factors. The process of identification of the factors wa s based on existing business models, review of literature, and feedback from the industry. The study also appreciates the fact that the factors affecting the attractiveness of products need to be reviewed regularly since their relative importance may chang e if the environmental conditions change. Key Words: Market Attractiveness, Jobbing Industries, Critical Success Factors. 1. I NTRODUCTION Definition of Jobbing Industry: The jobbing industry comprises of job shops, which have different facilities to manu facture a variety of custom products, mostly in small batches (FindArticles.com, 2002) [1] . In the process flow of a job shop, most of the products manufactured require a unique set - up and sequencing of processing steps. Examples of jobbing units include ma chine shops, painting facilities, and other facilities that make custom products in small lot sizes. Volume and standardization is low, products are often one of a kind. In the job shop, similar equipment or functions are grouped together, such as all dril l presses in one area and grinding machines in another. Characteristics of Job Shops: Different products are manufactured depending upon the capabilities of the available resources. Jobbing facilities use general purpose equipment instead of specialty and dedicated product - specific equipment (FindArticles.com, 2002) [2] . Digital numerically controlled equipment is often used to give job shops the flexibility to change set - ups on the various machines very quickly. Job shops compete on quality, speed of produc t delivery, customization, and new product introduction. When an order arrives in the job shop, the part being worked on moves through various areas according to a sequence of operations (http://definitions.uslegal.com/j/job - shop) [3] . Not all jobs will use every machine in the plant. Jobs often travel in a jumbled routing and may return to the same machine for processing several times. Thus, the main characteristic of a Job Shop is that it can produce a wide variety of products, though in relatively small volumes; machines are grouped by functions, there is an irregular pattern to material flow, material handling time is longer, there is higher flexibility of operations, machine set - up is more frequent, and production efficiency is comparatively lower (Ko a nd Egbelu, 2004) [4] . Flexibility of Operations: Due to the presence of certain category of manufacturing facilities in the form of man, machine and other capital resources, it is possible to manufacture a large variety of products within the broad range i n which the firm operates. The major objective of such an industry is optimum utilization of the available manufacturing facilities as underutilization of available resources results in loss of output leading to under recovery and loss of profit. Each prod uct requires diverse manufacturing facilities to be engaged for different extent of times in varied sequence of operation. So the combination of different products which get manufactured simultaneously at a certain point of time should together utilize the resources to the fullest extent. However, full capacity utilization does not always ensure maximum profitability since there are a lot many other factors also, which affect the attractiveness of a product. A firm’s success probability depends whether its business strengths not only match the key success requirements for operating in the target market, but also exceed those of its competitors. In any multi - product manufacturing scenario, profitability on a long - term basis is a function of product mix. Apart from the basic capabilities of the firm to manufacture the product competitively, other factors like financial, business, environmental, political, legal and social also have an effect on the product, and hence should also be taken into account while eval uating the attractiveness of I DENTIFICATION OF C RITICAL S UCCESS F ACTORS FOR L ONG - TERM P ROFIT M AXIMIZATION IN J OBBING TYPE OF I NDUSTRIES Dr. Aswini Kumar Dash Larsen & Toubro Limited, P.O.: Kansbahal - 770 034, District: Sundarga rh, Odisha, India International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 508 the product. Each product should be holistically studied while analyzing its attractiveness. Comprehensive analysis of current and foreseeable business scenarios, balanced against capacity, capability and investment, can help m anufacturers optimize their product mix and prioritize their sales and marketing efforts to minimize risk and maximize profitability on a long - term basis. The strategy of the firm has to be so designed that there is a proper fit between external opportunit ies and internal strengths while working around external threats and internal weaknesses. Thus, the first key step to a successful marketing effort in a jobbing type of manufacturing industry is defining what products to manufacture, for which customers, a t what price, and on what terms. 2. L ITERATURE R EVIEW Strategic analysis of any business enterprise involves two stages – internal analysis, which is the systematic evaluation of the key internal features of an organization, and external analysis, which e valuates the impact of environmental factors (Stonehouse et al, 2004) [5] . Changes in the macro - environment at both global and national levels can cause changes in customer needs, products and production techniques, competition, and industry and market stru ctures. The Boston Consulting Group (BCG) Growth - Share matrix defines that profitability of a product depends on its market share, the growth rate of its market and its position in the product lifecycle. This model depends on the following premises: profit s and cash generated from a product are a function of its market share; profits and market share correlate directly; revenue growth requires investments, which are mainly expenses for marketing, distribution and product development. The extent of these exp enses depends on the general market growth for that product, with high market shares requiring additional investments, and no business or market can grow infinitely (Ghemawat, 2002) [6] . Marketers are responsible for demand management. When uncertainty of d emand is a major factor, any differences between the penalties of over and under - production become important (Hodges and Moore, 1970 ) [7] . Country Portfolio Analysis is the process where the attractiveness of an international market is defined purely based on business factors, and it is considered that the foreign market behaves exactly in the same way as the national market. However, distance has an appreciable impact on international business (Ghemawat, 2001) [8] . It is essential to estimate a country’s att ractiveness for international business. This can be accomplished by examining market size, market growth rate, government regulations, competition and the economic and political stability. However, when choosing country markets, an organization has to go b eyond decisions about market attractiveness. The company also has to consider market expansion strategies, which is related to the number of countries an organization wishes to enter (Frändberg and Kjellman, 2004) [9] . There is an approach to international portfolio analysis based on an examination of the interconnectedness of geographic markets and product businesses (Douglas and Craig, 1996 ) [10] . This enables management to identify strategic portfolio units based on market interconnectedness, as well as co mpetitive strength, and market attractiveness. The technique used by Ford's international tractor management, is derived from the product portfolio approach developed by the Boston Consulting Group (Harrell, 1981) [11] . Market size and growth rate, governme nt regulations, and economic and political factors are employed to determine Country Attractiveness. Similarly, market share, product fit, contribution margin and market support capabilities are used for the Competitive Strength Scale. Market related facto rs determine how attractive a market is. Factors such as size of the markets, the similarity among markets, growth rate, and customer loyalty influences what market expansion strategy is the most suitable (Mas - Ruiz et al, 2002) [12] . Survival can be measure d by cash flow, success by quarterly sales growth, and operating income by division, and prosperity by increased market share by segment and return on quality ( Jiménez - Zarco et al, 2006) [13] . Nevertheless, other financial measurements that should be consid ered in the evaluation are shareholder benefits, profit - margin, payback period, cost and development / investment costs, risk assessment and cost - benefit data. Thompson and Strickland (2003) [14] have opined that the important factors which affect industry attractiveness and its prospects for above - average profitability are, (a) the industry’s growth potential, (b) profitability at the existing levels of competition and its trend, (c) the company’s competitive position in the industry, and (d) the degrees of risk and uncertainty in the industry’s future. However, if a company is uniquely well - positioned in an otherwise unattractive industry, it can, under certain circumstances, still earn unusually good profits. Market attractiveness and business strength bot h comprise of a set of Critical Success Factors (Proctor, 2000) [15] . The content of each of these sets of factors depends entirely upon the company and the competitive environment. Market attractiveness should be measured in terms of the few key things one must get right in order to succeed. Some of these factors are, (a) Market factors: M arket size, market growth rate, cyclicality, seasonality, power of sellers and buyers, distributors, price sensitivity. (b) Competition: Number of competitors, type and po wer of competitors, ease of market entry, risk of product substitution, market share, image in market, possibility of new technology, volatility. (c) Technological: Sophistication of technology, patents, copyrights, maturity. (d) Economic: Financial streng th and barriers, economies of scale, capacity utilization. (e) Socio - political: Social values, attitudes and trends, laws, etc. Business strength should also be measured in terms of the few key things one must get right in order to succeed and should enabl e a comparison to be made of a company relative to its major competitors. Some of these factors are, (a) International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 509 Market: Market share, company and market image, distribution channels. (b) Product: Pricing policy, product range, reputation for product reliability a nd quality standards, breadth of product line. (c) Customer relations: Service levels, sales force coverage. (d) Capability: Managerial competence, design capability, ability to respond to changing circumstances, manufacturing strength, research and develo pment, capital strength and finances. Various factors affecting strategic position and market attractiveness have been identified by different authors (Karlof et al, 2005) [16] . The main f actors affecting strategic position are r elative size, growth, market share, position, relative profitability, margin, technological position, image (reality as perceived by outsiders), leadership and people. The f actors affecting market attractiveness are a bsolute size, market growth, market breadth, pricing, structure of competition, legal obstacles, industry profitability, and technical role (social role and effect on environment). The one factor which has been consistently considered of high or even dominant importance is market share (Spohn, 2004) [17] . The positive impa ct of a high market share on profitability is attributed to economies of scale, superior purchase prices and exercise of monopoly. High capacity utilization is the second market factor that has consistently shown a strong positive impact on profitability. Excess capacities frequently push companies to cut prices and, in turn, decrease profitability. Import rate was also consistently related to profitability, even though its importance was, in general, not considered as high as market share or capacity utili zation. The business rankings model proposed by Bowler (2001) [18] examines ten separate criteria or categories, covering the political and macroeconomic environment; market opportunities and policy towards competition, foreign investment and trade; exchang e controls; taxes; financing; labour markets; and infrastructure. Cavusgil (1997) [19] developed an index to measure the market potential of Emerging Markets. Thirteen economic, political, and social variables were identified to characterize a market’s attr activeness, which represented the following fundamental factors of market attractiveness: Market size, market growth rate, market intensity, market consumption capacity, commercial infrastructure, economic freedom, and market receptivity. Baseman et al (20 03) [20] have devised a method to generate a strategic business plan to improve operations, and to closely monitor various performance measures of an enterprise. This is accomplished by employing a more comprehensive approach to maximizing profitability, in creasing revenue, and explicitly considering risk. A comprehensive model identified the following ranking of market - related evaluation criteria: (a) competition in first years, (b) market growth, (c) stimulation of existing market, (d) market access to dis tribution channels, (e) familiarity of venture capitalists with industry, (f) existence of established distribution channels, and (g) creation of new market by venture (MacMillan et al, 1987) [21] . Dean and Meyer’s (1996) [22] model includes the variables th at were used to measure the following four major determinants – industry dynamism, constraints on new ventures (entry barriers), constraints on existing firms (inertia), and industry size. The results of the regression analysis confirm a statistical signif icance for each of the three factors of industry dynamism: sales growth, niche dynamism, and research and development intensity. All three showed a significant positive relationship to venture formation. Two of the entry barrier factors, namely industry co ncentration and capital requirements, showed a strong negative correlation with venture formations. Associated with inertia, both vertical integration and failure to invest in new capital are positively related to venture formation. However, it does not ta ke into consideration factors such as industry life cycle, import/export, buyer concentration, access to distribution channels, and those related to intensity and type of competition. A study by Dash and Das (2010) [23] proposes a process of extension of th e balanced scorecard for application as an objective decision - making tool for product portfolio management. It involves, as a first step, holistically identifying the critical factors which affect business, followed by estimating their relative weightage. Finally, different products are rated against each of these critical factors on a pre - defined scale. By adding up the weighted scores of each factor for a certain product gives its attractiveness score. Comparing such scores of different products identifie s their relative attractiveness. Higher the score, more attractive is the product from a manufacturer’s point of view. 3. R ESEARCH M ETHODOLOGY The aim of this research was to identify the attractiveness of a product with a degree of objectivity, specific to manufacturing type of jobbing industries. More specifically, the objectives of this study were (a) to generate a pool of factors which affect the attractiveness of goods and services; (b) to synthesize and reduce these factors into generic constructs, i .e., concepts that will form the basis of a typology of product attractiveness and develop a model by linking these factors; (c) to validate the proposed typology of holistic product attractiveness. The process involved both primary as well as secondary da ta. The data collection methods adopted were review of literature and existing business models, case studies, focus group discussions, personal interviews, feedback from the industry regarding their experience, and survey in the form of a questionnaire. Th e first step in the process was the generation of factors which affect the attractiveness of a product / product segment. The factors identified initially were based on earlier research / literature in similar fields, existing business models, as well as p ersonal interviews and focus group sessions were employed where participants were asked to identify the factors which affect the attractiveness of products / product segments for long - term profitability. International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 510 The initial list of factors generated using the abov e process were examined in order to identify and delete duplicate / overlapping factors. For this purpose, inductive reasoning was employed and the process resulted in the retention of only those factors which were viewed as potential discriminators, i.e. sensitive or selective, across respondents' perceptions. During the process, it was ensured that there was clarity in the description of the factors, without any ambiguity. This process was validated by industry peers and 63 success factors were identified , which holistically defined the attractiveness of a product. These factors could be segregated into the following ten categories: (a) basic manufacturing capabilities with respect to facilities, know - how, and competent human resource; (b) product specific details like design stability, position in the product life cycle, suitability to be part of the product mix, threat of substitutes, obsolescence of technology, ease of availability as well as stability of their prices of input materials; (c) product spec ific commercial conditions like terms of payment and guarantee, investment required and expected returns, delivery conditions and associated penalties, manufacturing cycle time and the inventories required to be maintained; (d) product specific relative m anufacturing capabilities such as cost competitiveness, productivity, technical capabilities, product performance, and response time; (e) product specific market details like current and future market share and related prospects, entry barriers, cyclicalit y of business, brand image; (f) Market specific product details like competition, bargaining power of customers and suppliers, outsourcing prospects, manpower availability, and support of stake holders; (g) general market related factors which define the b usiness environment from all aspects of political, legal, socio - cultural, economic, locational impact of the market, and proximity to suppliers and customers; (h) customer specific details indicating its credibility in the market, stability, and sourcing s trategy; (i) Government and other statutory rules & regulations; (j) own company's status from the point of view of its vision, plan, policies, and work culture. Each of these categories had its own importance and had different numbers of success factors. The 63 factors were part of the survey questionnaire designed to take feedback from the industry. There were 226 participants who rated these factors on a 5 – point scale with 5 indicating the highest importance. Then all factors rated same were further rank ed so as to differentiate and bring out the relative importance amongst them. All factors which had a rating of 5 were allotted scores that were evenly distributed in the range of ‘greater than’ 4 and ‘equal to’ 5, and so on. This identified the score of e ach factor for a particular respondent. The results of all respondents were compiled & the mean score, standard deviation and range of each factor were calculated. For the method to be practically a workable one, it was required to have lesser number of fa ctors than the initial 63. So, the next step was to reduce the total number of factors. This was done in two stages; first by selecting the top half of the factors from their importance point of view, and then eliminating those factors which were part of t he bottom one - third of the 63 factors in terms of variability. With the above process, 22 critical success factors were identified for defining the holistic attractiveness of a product. 4. D ISCUSSIONS AND C ONCLUSION The above process thus identified 22 cr itical success factors. The process of identification evolved from the basic foundation of existing literature and proven business models. Further, inputs from the industry gave it a more current form taking into account the existing business environment. The identification process was objective in nature. Thus, is expected to be less ambiguous than the other subjective processes of identification where the degree of Based on the feedback, product’s future prospects / market growth rate was identified as t he most important factor followed by cost competitiveness, intensity of competition, suitability of the product to be part of the product mix, and expected return on investment to form the top 5 critical success factors. Product's current demand / market s ize, future prospects of the market segment/sector, relative technical capability w.r.t. competitors, availability of adequate technical know - how, and availability of adequate manufacturing facilities formed the next five factors, beyond the top five criti cal success factors. Expected Profit margins from the product, bargaining power of customers, country specific factors (legal, socio - cultural, economic policies), relative market share, and availability of competent human resource formed the next five crit ical success factors. The balance seven factors in order of importance were Investment required for manufacturing the product, market conditions & associated risks, sourcing strategy of the customer, entry barriers, ease of availability of input materials, environmental, health & safety factors, and availability of trained manpower . A very important feedback from the process was that the critical success factors covered nine of the ten categories of initial factors. This reinstates the fact that these facto rs holistically analyze the attractiveness of products by considering all aspects of business i.e., internal factors like capacities and capabilities and the external factors like political, economic, financial, social, technological, legal, geographic, an d regulatory. Each firm is unique from the point of view of the critical factors which affect its success. Both the set of internal and external factors as well as their relative weightage may be different for each firm. However, in order to design a gener al model applicable to all firms within the industry during a particular period of time, feedback in the form of the questionnaire was taken from different firms, from persons involved in different functions, i.e., marketing, project execution, manufacturi ng, technology / research & development, design & engineering etcetera and at all levels within the organization. Additionally, to give it another angle, feedback through the questionnaire was also taken from International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 511 customers, suppliers, and consultants pertainin g to such industry. Feedback was taken from 226 participants from the Indian industry. The survey was designed based on the initial inputs from the available literature and the existing models on different aspects of business. Since the survey participants belonged to the Indian market, it was assumed that the model thus emerging from the feedback would be applicable to India’s jobbing industry and the results of this study would hence be useful to entrepreneurs, consultants, and managers of this industry. An understanding of the critical success factors and their relative importance under a certain set of environmental conditions is of high practical value as it allows recognition of the opportunities and risks from the industry environment. This study defi nes the set of business parameters and their relative importance under a certain set of internal and external conditions. However, the time frame for review of the importance of the critical factors is left at the discretion of the analyst. The research ca n be extended further to incorporate the framework for analyzing and establishing the time period after which the relative importance of the critical factors need to be reviewed. Alternatively, a model can be drawn up which would consist of the major time - dependent factors, so that by analyzing the change in the relative importance of these factors, one can estimate whether the importance of the critical factors need to be reviewed and re - established. Another possibility is to make an attempt to adopt this method of identification of the market attractiveness factors for implementation in industries other than jobbing type, say process industry, technology - based knowledge sector, or education sector. R EFERENCES [1] “ Job Shop, ” Encyclopedia of Small Business, 2 n d Edition, FindArticles.com, 2002. [2] Ibid . [3] http://definitions.uslegal.com/j/job - shop. [4] Ko, K. C., Egbelu, P. J., “ Reconfiguration of a Job Shop to Respond to Product Mix Changes Based on a Virtual Production System Concept ,” International Journal of Productio n Research, Vol. 42, Issue No. 22, pp 4641 - 4672, 2004. [5] Stonehouse, G., Campbell, D., Hamill, J., Purdie, T., “ Global and Transnational Business: Strategy and Management ,” John Wiley & Sons Ltd., 2 nd Edition, ISBN 9812 - 53 - 132 - 7, pp 72 - 82 ,2004 . [6] Ghemawat, P., “ Competition and Business Strategy in Historical Perspective ,” Business History Review, 76, pp 37 – 74 , 2002 . [7] Hodges, S. D., Moore, P. G., “ The Product - Mix Problem Under Stochastic Seasonal Demand ,” Management Science, Vol. 17, No. 2, pp B - 107 to B - 114 , 197 0 . [8] Ghemawat, P., “ Distance Still Matters: The Hard Reality of Global Expansion ,” Harvard Business Review, pp 137 - 147 , 2001. [9] Frändberg, A., Kjellman, C., “ Factors Influencing SME’s Choice of Market Expansion Strategy ,” Bachelor’s Thesis, Luleå Technological University, pp 2, ISSN 1404 - 5508 , 2004. [10] Douglas, S. P., Craig, C. S., “ Executive Insights: Global Portfolio Planning and Market Interconnectedness ,” Journal of International Marketing, Vol. 4. No. 1, pp 93 - 110, ISSN 1069 - 031X , 1996 . [11] Harrell, G. D., Kiefer , R. O., “ Multinational Strategic Market Portfolios ,” International Executive, Wiley Periodicals Inc., pp 20 - 22 , 1981. [12] Mas - Ruiz, F. J., Nicolau - Gonzalbez, J. L., Ruiz - Moreno, F., “ Foreign Expansion Strategy and Performance ,” International Marketing Review, Vol. 19, Issue 4, pp 348 - 368 , 2002. [13] Jiménez - Zarco, A. I, Martínez - Ruiz, M. P., González - Benito, O., “ Performance Measurement System Integration into New Product Innovation: A Literature Review and Conceptual Framework ,” Academy of Marketing Science Review , Volume 2006 No. 9, pp 1 - 16 , 2006 . [14] Thompson Jr., A. A., Strickland III, A. J., “ Strategic Management: Concepts and Cases ,” Tata McGraw - Hill Publishing Company Limited, 13 th Ed, pp 81 - 84, 93 , 2003. [15] Proctor, T., “ Strategic Marketing ,” Routledge, Chp. 2, pp 21 - 40 , 2000. [16] Karlof, B., Lovingsson, F. H., “ A to Z of Management Concepts & Models ,” Thorogood Publishing Ltd., ISSN 1 - 85418 - 385 - 0, pp 204 - 206 , 2005. [17] Spohn, D., “ Evaluating Market Attractiveness: A New Venture Perspective ,” Doctoral Thesis, The University of St. Gallen, College of Business, Right and Social Sciences (HSG) , Switzerland, Dissertation No. 2917, pp 1 - 75 , 2004. [18] Bowler, J., “ Business Environment, Business Latin America ,” The Economist Intelligence Unit Limited, pp 2 - 3 , 2001. [19] Cavusgil, S. T., “ Me asuring the Potential of Emerging Markets: An Indexing Approach ,” Business Horizons, pp 87 - 91 , 1997. International Journal of Application or Innovation in Engineering & Management (IJ AI E M ) Web Site: www.ijaiem .org Email: editor@ij ai e m .org, editorij ai e m @gmail.com Vol ume 2, Issue 6 , June 2013 ISSN 2319 - 4847 Volume 2 , Issue 6 , June 201 3 Page 512 [20] Baseman, R., Grey, W., “ Method for Integrated Supply Chain and Financial Management ,” United States Patent, Patent No. US 6,671,673 B1, pp 1 - 21 , 2003. [21] MacM illan, I. C., Zemann, L., Subbanarasimha, P. N., “ Criteria Distinguishing Successful Ventures in the Venture Screening Process ,” Journal of Business Venturing, Vol. 2, pp 123 - 137 , 1987. [22] Dean, T. D., Meyer, D. G., “ Industry Environments and New Venture Form ations in U.S. Manufacturing: A Conceptual and Empirical Analysis of Demand Determinants ,” Journal of Business Venturing, Vol. 11, pp 97 - 132 , 1996. [23] Dash, A. K., Das, B., “ The Balanced Scorecard and its Application as a Strategic Decision - making Tool ,” Inte rnational Review of Business Research Papers, September, Vol. 6, No. 4, pp 457 - 466, ISSN 1832 - 9543 , 2010. AUTHOR Aswini Kumar Dash joined M/s Larsen & Toubro Limited in 1992 after completing B.E. in Metallurgical Engineering from REC (now NIT), Rourkel a , Odisha, India . While working in L&T, he completed M.E. in Metallurgical Engineering from REC (now NIT), Rourkela in 1998, Post Graduate Diploma in Business Management in the year 2005 from XIM, Bhubaneswar , Odisha, India , and Doctorate in Management fro m KIIT School of Management , Bhubaneswar, Odisha, India in 2013. He is heading the Foundry business at Larsen & Toubro Limited, Kansbahal Works, Odisha, India since October 2011.