Printer Friendly
The Free Library
14,734,713 articles and books
Member login
User name  
Password 
 
Join us Forgot password?

Strategy development by Indian SMEs in plastic sector: an empirical study.


Abstract

This paper examines the issues of pressures and constraints CONSTRAINTS - A language for solving constraints using value inference.

["CONSTRAINTS: A Language for Expressing Almost-Hierarchical Descriptions", G.J. Sussman et al, Artif Intell 14(1):1-39 (Aug 1980)].
, strategies for investments, competencies development, cost reduction, quality improvement, and relationship of strategies with overall performance for small and medium enterprises in Indian plastic sector under an emerging economy. Using data acquired from an extensive survey of Indian SMEs in the plastic sector, cost, quality, and range of products have emerged as the major pressures. This study has reflected the flexible nature of SMEs in developing competitive strategies. However, it is observed that SMEs are not making clear distinction in developing strategies for reducing cost and improving quality.

Key Words: Manufacturing strategy, SMEs, plastic sector, globalisation, performance.

Small and medium enterprises (SMEs) represent the largest proportion of the manufacturing sector in many countries. They have always played a key role in the economies of major industrial countries. In India, 95 per cent of industrial units are in small-scale sector with 40 per cent value addition in the manufacturing sector and 6.29 per cent contribution to the Indian Gross Domestic Product (Times of India, 2002). In India, industries having investment in plant and machinery less than Rupees (Rs) 10 million are called small-scale industries (SSI (1) See server-side include and single-system image.

(2) (Small-Scale Integration) Less than 100 transistors on a chip. See MSI, LSI, VLSI and ULSI.

1. (electronics) SSI - small scale integration.
2.
). There is no formal definition for medium scale industries but according to according to
prep.
1. As stated or indicated by; on the authority of: according to historians.

2. In keeping with: according to instructions.

3.
 some studies, industries having investment between Rs 10 million and 1,000 million in plant and machinery are termed as medium scale industries, MSI MSI: see integrated circuit.


(1) (MicroSoft Installer) See Windows Installer.

(2) (Medium Scale Integration) Between 100 and 3,000 transistors on a chip. See SSI, LSI, VLSI and ULSI.
 (Karandikar, 1999).

In the present era of technology, the plastic sector has become an integral part for most of the manufacturing industries manufacturing industries nplindustrias fpl manufactureras

manufacturing industries nplindustries fpl de transformation

. Asia has been the world's largest plastics consumer for several years, accounting for 30 per cent of the global consumption excluding Japan, which has share of about 6.5 per cent. Next to Asia is North America North America, third largest continent (1990 est. pop. 365,000,000), c.9,400,000 sq mi (24,346,000 sq km), the northern of the two continents of the Western Hemisphere.  with 26 per cent share, then western Europe Western Europe

The countries of western Europe, especially those that are allied with the United States and Canada in the North Atlantic Treaty Organization (established 1949 and usually known as NATO).
 with 23 per cent share in the global market (Verma, 2005). Plastics processing Plastics processing

Those methods used to convert plastics materials in the form of pellets, granules, powders, sheets, fluids, or preforms into formed shapes or parts.
 or product manufacturing industry worldwide is facing increased competition due to globalisation of the plastics trade. The major challenge for SMEs is to continuously provide innovative and customised products using the best available process technologies. Improvements in competitors' capabilities have shortened short·en  
v. short·ened, short·en·ing, short·ens

v.tr.
1. To make short or shorter.

2.
 product life cycles, elevated product complexity and expanded accessibility to new technical breakthroughs (Gupta and Garret, 1996). According to Ajitabh and Momaya (2004) in such kind of environment, firm's competitiveness will depend on its ability to provide goods and services In economics, economic output is divided into physical goods and intangible services. Consumption of goods and services is assumed to produce utility (unless the "good" is a "bad"). It is often used when referring to a Goods and Services Tax.  more efficiently than others involved in the market place.

In recent years, many large organisations all over the world have been focusing on their core business, downsizing (1) Converting mainframe and mini-based systems to client/server LANs.

(2) To reduce equipment and associated costs by switching to a less-expensive system.

(jargon) downsizing
, and outsourcing (1) Contracting with outside consultants, software houses or service bureaus to perform systems analysis, programming and datacenter operations. Contrast with insourcing. See netsourcing, ASP, SSP and facilities management. . This trend has given many opportunities for SMEs to work in partnership with them. As business success depends on the formulation formulation /for·mu·la·tion/ (for?mu-la´shun) the act or product of formulating.

American Law Institute Formulation
 and implementation of viable strategies (Pun et al, 2000), therefore to grab these opportunities SMEs in all sectors need to develop effective strategies for providing higher added values Added value in financial analysis of shares is to be distinguished from value added. Used as a measure of shareholder value, calculated using the formula:

Added Value = Sales - Purchases - Labour Costs - Capital Costs
 to customers in terms of cost, quality, and services at shortest possible time. According to Porter (2004), if an organisation wants to make a difference as a leader, it has to give time for developing strategies.

There have been very few studies aimed at strategy development by SMEs for competitiveness. Even in developed countries, most of the studies have been devoted to sectors such as the auto component and electronics sectors. Small firms with limited resources will be expected to perceive its business environment as being different from that of a large firms with perhaps more resources and it is also likely to face different environment pressures with regard to market competitiveness (Gyampah et al, 2001). The approaches that large firms use to benchmark their competitors and negotiate with suppliers are expected to be different from the approaches used by small firms (Vickery et al, 1999). Therefore, this study being an empirical study for SMEs, has its own importance for enhancing the knowledge of strategy development. It will help to understand major pressures and constraints on SMEs, dynamic nature of strategy development as well as relationship of strategies with performance.

Research Propositions and Methodology

In sustaining their competitiveness, SMEs face many pressures and constraints due to their limited resources like finance, skilled manpower, and advanced technology. Thus, their strategy should match the organisation's resources to the changing environment and in particular its markets and customers in the pursuit of its goals and objectives (Porter, 1998).

The new competition is in terms of reduced cost, improved quality, higher performance products, wider range of products, better service, all delivered simultaneously (Dangayach and Deshmukh, 2001). To survive in this new competition, SMEs will have to develop strategies for cost reduction, quality improvement, making new investments, and development of competencies. Williams et al (1995) identified significant relationship between manufacturing strategy and firm performance. It is generally believed that SMEs are reluctant to change due to fear of failure and other constraints but due to the dynamic nature of the market scenario, SMEs will need dynamic strategies. According to Tidd (1997), the main task of corporate strategy is not to describe the current state of art, but to identify and explore core competencies A core competency is something that a firm can do well and that meets the following three conditions specified by Hamel and Prahalad (1990):
  1. It provides customer benefits
  2. It is hard for competitors to imitate
  3. It can be leveraged widely to many products and markets.
 that must be added. Otherwise, the current competencies can become obsolete OBSOLETE. This term is applied to those laws which have lost their efficacy, without being repealed,
     2. A positive statute, unrepealed, can never be repealed by non-user alone. 4 Yeates, Rep. 181; Id. 215; 1 Browne's Rep. Appx. 28; 13 Serg. & Rawle, 447.
 and begin to function as core rigidities. A more natural and fruitful fruit·ful  
adj.
1.
a. Producing fruit.

b. Conducive to productivity; causing to bear in abundance: fruitful soil.

2.
 approach is therefore to think of knowledge and skills required by a company in order to maintain or improve its competitiveness. Chaston et al (2001) have observed that the areas of competence concerned with new product development, human resource management practices, organisational productivity, the management of quality and management of information were extremely crucial in terms of influencing small firm growth rates Growth Rates

The compounded annualized rate of growth of a company's revenues, earnings, dividends, or other figures.

Notes:
Remember, historically high growth rates don't always mean a high rate of growth looking into the future.
. They observed that firms which have adopted a higher level learning orientation can be expected to exhibit statistically significant higher competencies across the areas of measuring customer expectations, identifying quality variance The discrepancy between what a party to a lawsuit alleges will be proved in pleadings and what the party actually proves at trial.

In Zoning law, an official permit to use property in a manner that departs from the way in which other property in the same locality
, implementing quality improvements, using information to optimise optimise - To perform optimisation.  information, create control systems, identify market changes and use information technology to acquire data with the foregoing discussion as the background, this paper tries to test the following propositions:

Proposition 1

Priority and level of investment in different areas change significantly with time.

Proposition 2

Priority and level of focus for developing competencies change significantly with time.

Proposition 3

Level of various strategies for reducing cost and improving quality differ significantly.

Proposition 4

The degree of emphasis that firms place on different areas of strategy development will be positively correlated cor·re·late  
v. cor·re·lat·ed, cor·re·lat·ing, cor·re·lates

v.tr.
1. To put or bring into causal, complementary, parallel, or reciprocal relation.

2.
 with their overall performance.

For data collection from industries, a structured questionnaire was framed. This was also pilot tested and then administered to industry. Extensive visits were made to SMEs in the plastic sector to collect first hand information. The research methodology for this study is shown as a flow chart (Figure 1). Identification of issues and development of preliminary framework for study was done after extensive review of literature and discussions with industry professionals. The framework developed for this study is shown in Figure 2.

[FIGURES 1-2 OMITTED]

Ward et al (1995) have observed that link between environment and operations strategy determines firm performance. Therefore, based on the market environment, SMEs should decide their strategies for investments, development of competencies, and priorities for reducing cost and improving quality. Formulation of strategies and their effective implementation will influence their performance.

In this study, executives were asked to rate the intensity of each factor for their respective organisation on a five-point Likert scale Likert scale A subjective scoring system that allows a person being surveyed to quantify likes and preferences on a 5-point scale, with 1 being the least important, relevant, interesting, most ho-hum, or other, and 5 being most excellent, yeehah important, etc  (1 being lowest, 5 highest). About 375 organisations in the plastic sectors in India were contacted for collecting responses. These organisations were selected from various directories available at Confederation of Indian Industries The Confederation of Indian Industry (CII) is a non-government, not-for-profit, industry-led and industry-managed organisation, playing a proactive role in India’s development process.  (CII CII Confederation of Indian Industry
CII Chartered Insurance Institute (UK)
CII Construction Industry Institute (University of Texas)
CII Council of Institutional Investors
), Auto Component Manufacturers Association (ACMA ACMA Australian Communications and Media Authority
ACMA American Composites Manufacturers Association
ACMA Academy of Country Music Awards
ACMA American College of Mortgage Attorneys
ACMA Associate of the Chartered Institute of Management Accountants
) of India, Federation of Indian Chambers of Commerce and Industries (FICCI FICCI Federation of Indian Chambers of Commerce and Industry ) and Department of Industries, (Government of India The Government of India (Hindi: भारत सरकार [3]Bhārat Sarkār), officially referred to as the Union Government, and commonly as Central Government ). In spite of in opposition to all efforts of; in defiance or contempt of; notwithstanding.

See also: Spite
 continuous reminders, phone calls, and E-mails only 37 valid responses were obtained for this empirical study. A detailed profile of the responding organisations is given in Table 1.

Results and Discussions

To measure the scale reliability and internal consistency In statistics and research, internal consistency is a measure based on the correlations between different items on the same test (or the same subscale on a larger test). It measures whether several items that propose to measure the same general construct produce similar scores.  of data, Cronbach's coefficient coefficient /co·ef·fi·cient/ (ko?ah-fish´int)
1. an expression of the change or effect produced by variation in certain factors, or of the ratio between two different quantities.

2.
 alpha was calculated for all items of the questionnaire. A summary of statistics is given in Table 2. The coefficients of Cronbach's alpha Cronbach's (alpha) has an important use as a measure of the reliability of a psychometric instrument. It was first named as alpha by Cronbach (1951), as he had intended to continue with further instruments.  for all constructs range from 0.69 to 0.87. These values exceed the minimum requirements of 0.5 to 0.6 for an exploratory study such as this (Nunnally, 1978).

Data acquired from the survey of the plastic sector were analysed by statistical tests such as one sample t-test, paired sample t-test (PST PST Paroxysmal supraventricular tachycardia, see there ), and correlation and regression analysis In statistics, a mathematical method of modeling the relationships among three or more variables. It is used to predict the value of one variable given the values of the others. For example, a model might estimate sales based on age and gender. . Although the focus of this study is on strategy development and its impact on performance but to analyse an·a·lyse  
v. Chiefly British
Variant of analyze.


analyse or US -lyze
Verb

[-lysing, -lysed] or -lyzing,
 the business environment, pressures and constraints on SMEs have been also analysed.

Pressures and Constraints

In general, smaller firms experience greater market and customer uncertainty. Those who own and manage the smaller businesses exhibit a vastly greater range of aspirations aspirations nplaspiraciones fpl (= ambition); ambición f

aspirations npl (= hopes, ambition) → aspirations fpl 
 than owners/managers of large firms. The smaller firms rationally respond by favouring short over longer term gains, and flexible over specific investments even where there is some cost penalty (Chen and Hambric, 1995). The main barriers to be competitive for SMEs are inadequate technologies as well as inadequate inhouse human expertise and poor financial resources (Armstrong and Coyle, 1999). Resource scarcity Scarcity

The basic economic problem which arises from people having unlimited wants while there are and always will be limited resources. Because of scarcity, various economic decisions must be made to allocate resources efficiently.
 can impact on the ability of smaller firms to enter export markets and can also limit a smaller firm's ability to reach more advanced stages of internationalisation (programming) internationalisation - (i18n, globalisation, enabling, software enabling) The process and philosophy of making software portable to other locales.

For successful localisation, products must be technically and culturally neutral.
 (Moen, 1999).

The results of the various pressures being faced by Indian SMEs in the plastic sector on a Likert scale of five are presented in Figure 3. It is observed that the highest pressure is to reduce cost (3.54), which is followed by pressure to improve quality (3.50) and to increase range of products (3.36). Pun et al (2004) have observed that for the electronics industry in Hong Kong Hong Kong (hŏng kŏng), Mandarin Xianggang, special administrative region of China, formerly a British crown colony (2005 est. pop. 6,899,000), land area 422 sq mi (1,092 sq km), adjacent to Guangdong prov. , product/service quality and customer services have emerged as the critical success factors. Singh et al (2004) have also observed same findings in their study for Indian auto component sector.

[FIGURE 3 OMITTED]

Various constraints felt by Indian SMEs in the plastic sectors to become competitive in the market are shown in Figure 4. Most of the constraints are significantly below moderate level. Lack of growth conducive con·du·cive  
adj.
Tending to cause or bring about; contributive: working conditions not conducive to productivity. See Synonyms at favorable.
 environment (2.42), raising funds from market (2.38), inadequate government support (2.36), are observed as most severe constraints. In creating a growth conducive environment, government policies play important role. Government policies have played a facilitative role in countries like Japan, South Korea, and Taiwan (Wang et al, 1995) but in India, poor infrastructure, red tape, and various government policies are still considered as main barriers for the expansion and growth of the industry.

[FIGURE 4 OMITTED]

Strategies Adopted by Indian SMEs in Plastic Sector

According to Eren (2004), firms have to develop competitive strategies in order to compete. A firm cannot have a strategy for only a month. Factors concerning long-term stability The long-term stability of an oscillator, the degree of uniformity of frequency over time, when the frequency is measured under identical environmental conditions, such as supply voltage, load, and temperature.  and short-term need for continual updating in response to evolutionary changes in the environment have to be considered. But the concept of long term can vary from sector to sector depending on its internal dynamics. A long-term strategy for the plastic sector may be two to three years whereas for the chemical sector, it might be eight to 10 years or more. However, to compete in an uncertain environment, strategy development should be flexible according to the needs of the market.

Development of competencies, making new investments, reduction of product cost, and improvement of quality have emerged as critical areas for developing effective strategies. Strategies adopted by SMEs in these areas will be discussed.

(a) Investment Priorities

According to Chanaron and Jolly (1999), global competitive strategies are incrasingly becoming technology driven in the context of extremely dynamic and turbulent environments. Technology operates on competitiveness in two ways. First, by altering the price structure through the development of more efficient and flexible processes, and second by enabling the creation of better products of greater quality, better design, aftersales service, and short delivery periods (Vinas et al, 2001).

It is commonly reported that quality and consistency of the manufacturing performance of SMEs can be improved as a consequence of the use of the most appropriate information technology tools without any major changes in business practices, manufacturing operations Manufacturing operations concern the operation of a facility, as opposed to maintenance, supply and distribution, health, and safety, emergency response, human resources, security, information technology and other infrastructural support organizations.  or production facilities (Chan and Tang tang, in zoology
tang: see butterfly fish.
, 1995). Several studies (Lal, 2004, Hodgkinson and McPhee, 2002) have found that users of advanced E-business technology perform better in the export market than non-users.

In this study, research and development, automation of processes, information technology, training of employees, welfare of employees, market research, and advertising were considered as potential areas of investment. Respondents In the context of marketing research, a representative sample drawn from a larger population of people from whom information is collected and used to develop or confirm marketing strategy.  were asked to prioritise Verb 1. prioritise - assign a priority to; "we have too many things to do and must prioritize"
prioritize

grade, rate, rank, place, range, order - assign a rank or rating to; "how would you rank these students?"; "The restaurant is rated highly in the food
 these areas. The results of this study regarding investment priorities are shown in Table 3. For Indian SMEs, market research, welfare of employees, research and development had been major areas of priority for investment in the past three years. In the following three years, automation of processes, market research, and training of employees will be top priority for investment. On the basis of paired sample t-test (PST), a significant difference between mean values for level of priority in past and next three years is observed for all areas of investment. This change reflects the dynamic and flexible nature of SMEs and supports the first proposition.

The above findings show that the level of investments in all areas is not very high. Specifically in areas of information technology, training of employees, and advertising, the level of investment is significantly less than moderate level. A study made by Oyelaran-Oyeyinka (2004) also observed that internal training opportunities greatly contribute to improving the performance of organisations.

(b) Priorities for Developing Competencies

Chaston and Mangles Mangles is the name of several people and things: People
Mangles is the name of a wealthy English family whose members had amongst other things, interests in the Swan River Colony. Prominent members and interests include:
  • James Mangles http://wanborough.
 (1997) have found that the areas of competence relates to new product development, human resource management practices, organisational productivity, and the management of quality. According to Nonaka and Takeuchi (1995), knowledge and skills have become a company's means to gain a competitive advantage because it will help in developing various competencies by organisations for sustaining their market position.

Development of competencies may vary, depending upon the sector and size. Results of competencies development by Indian SMEs in the plastic sector are given in Table 4. In the past three years, SMEs have given maximum focus for developing competency COMPETENCY, evidence. The legal fitness or ability of a witness to be heard on the trial of a cause. This term is also applied to written or other evidence which may be legally given on such trial, as, depositions, letters, account-books, and the like.
     2.
 in using customers to define quality standards. In addition to this, optimisation Noun 1. optimisation - the act of rendering optimal; "the simultaneous optimization of growth and profitability"; "in an optimization problem we seek values of the variables that lead to an optimal value of the function that is to be optimized"; "to promote the  of work environment and use of information to optimise decisions were other major areas of competencies development. In the next three years, identification of market changes and introduction of new technology will become top priority for developing competencies. This change is being observed due to the fast changing market for the plastic sector in India. On the basis of the paired sample t-test, it is observed that level of focus for developing majority of competencies have increased significantly with time as difference between mean values is found significant at 95 per cent confidence level except for optimisation of work environment, use of customer to define quality standards, and information to optimise decisions. Therefore, these observations support the second proposition.

(c) Strategies for Cost and Quality

Firms in industrialised Adj. 1. industrialised - made industrial; converted to industrialism; "industrialized areas"
industrialized

industrial - having highly developed industries; "the industrial revolution"; "an industrial nation"
 countries that have adopted a quality oriented o·ri·ent  
n.
1. Orient The countries of Asia, especially of eastern Asia.

2.
a. The luster characteristic of a pearl of high quality.

b. A pearl having exceptional luster.

3.
 strategy have achieved improved productivity, greater customer satisfaction, increased employee morale, improved management labour relations labour relations (US), labor relations nplrelations fpl dans l'entreprise

labour relations labour nplBeziehungen pl
, and higher overall performance (Mersha, 2000). According to Corbett et al (2002), SMEs can gain competitive advantage through the quality of their products because they can implement a just-in-time system with low defect defect - bug  rates or higher quality of products. It will also help in reducing product cost. Lau (2002) has also found higher quality and lower cost as top ranking competitive factors among United States United States, officially United States of America, republic (2005 est. pop. 295,734,000), 3,539,227 sq mi (9,166,598 sq km), North America. The United States is the world's third largest country in population and the fourth largest country in area.  electronics and computer industries.

The results of strategies adopted by Indian SMEs for reducing cost and improving quality are given in Table 5. It is observed that for reducing cost, SMEs in plastic sector are giving maximum focus on improvement of maintenance followed by improvement of process capability and product design. For improving product quality, improvement of maintenance continues to be top priority. In addition to this improvement of process capability and automation of operations, there are other major priorities for improving product quality. On the basis of paired sample t-test, it is observed that most of the strategies for cost and quality except improvements in product design does not differ significantly at 90 per cent confidence level. It means Indian SMEs do not make a clear distinction in terms of strategies adopted for cost and quality thereby not supporting the third proposition.

Performance

For measuring performance both subjective and objective measures are considered. Although according to Vickery et al (1994), use of only subjective measures is also a reliable alternative to actual performance because managerial assessments are consistent with objective internal and external performance.

Subjective performance of Indian SMEs in the plastic sector in comparison to national standards is given in Table 6. Respondents were asked to mark their performance in comparison to national standards on a five-point Likert scale (1 for very inferior INFERIOR. One who in relation to another has less power and is below him; one who is bound to obey another. He who makes the law is the superior; he who is bound to obey it, the inferior. 1 Bouv. Inst. n. 8. , 2 for inferior, 3 for equal, 4 for high, 5 for very high) for various measures. Performance of Indian SMEs in the plastic sector in comparison to national standards is significantly higher than moderate level for measures such as manufacturing cost, level of inventory, delivery speed, percentage rejection, employee turnover rate, and customer satisfaction. Objective performance is measured in terms of average percentage change in the past three years on certain financial parameters such as market share, return on investment, profit after tax, and sales turnover. The objective performance of SMEs is given in Table 7. For most of the financial performance measures except return on investment, change is significantly higher than moderate level.

Relationship between Adopted Strategies and Overall Performance

Based on discussions with professionals from industries, for measuring overall performance equal weightage is given to subjective and objective performance.

Correlation and regression analysis was done between various strategies adopted and overall performance. Results are shown in Table 8. Correlation between all strategies and performance is found significant thereby supporting the fourth proposition. On the basis of regression analysis ([R.sup.2] = 0.67), these strategies explain 67 per cent of the variability of performance. In addition to this, other factors related with industry and country competitiveness will also play an effective role in performance of organisation.

Conclusion

The objective of this study was to analyse different strategies adopted by Indian SMEs for being competitive against a backdrop Backdrop may refer to:
  • Theatrical scenery
  • Filming location
  • A pro wrestling move that's also called a belly to back suplex.
  • The Back Drop Club, website with BDSM resources, including BDSM related .
 of emerging challenges and opportunities of globalised market. Major findings of this analysis are represented by a model as shown in Figure 5.

[FIGURE 5 OMITTED]

Some of the concluding observations are:

* Cost, quality, and increasing the range of products are the main pressures on SMEs.

* SMEs consider lack of growth conducive environment, raising funds from market, and inadequate government support/incentives as major constraints.

* Market research, welfare of employees, and research and development are top ranking areas for making investments.

* Improvements of maintenance, process capability, and product design are the main strategies adopted for cost and quality.

* Use of customers to define quality standards and optimisation of working environment and decisions are the main areas of competency development.

* All areas of strategy development considered in this study are significantly correlated with performance.

* SMEs are not making a clear distinction in terms of strategies adopted for cost and quality.

* This study has demonstrated the flexible nature of SME (1) (Small and Medium-sized Enterprise) See SMB.

(2) (Subject Matter Expert) An individual who is well-versed in the policies and procedures of a particular department or division.
 strategies for developing various competencies and making investments. This finding differs from the general perception that SMEs are reluctant to change.

Although this paper has contributed in finding major strong and weak areas of strategy development and their relationships with performance, it has some limitations. All regions of India have not been represented uniformly and only firm level issues have been analysed. The future scope for this study may consider the impact of various factors related with industry and country level competitiveness on SME performance.

References

Ajitabh and K Momaya, 2004. "Competitiveness of Finns: Review of Theory, Frameworks and Models". Singapore Management Review, Vol 26 No 1, First Half, pp 45-61.

Armstrong PJ and PJ Coyle, 1999. "The Relevance of Enterprise Resource Planning See ERP.

(application, business) Enterprise Resource Planning - (ERP) Any software system designed to support and automate the business processes of medium and large businesses.
 to Manufacturing SMEs". Proceedings of the 15th International Conference on Production Research, Limerick Limerick, city, Republic of Ireland
Limerick, city (1991 pop. 56,083), seat of Co. Limerick, SW Republic of Ireland, at the head of the Shannon estuary. The city has a port with two docks.
, Ireland, pp 721-726.

Chan FTS FTS

facteur thymique sérique.
 and NKH NKH Non-Ketotic Hyperglycinemia  Tang, 1995. "Optimising Production Scheduling in Small Scale Industries by using PC-Simulation Package". Proceedings of the 3rd International Conference of Computer Integrated Manufacturing (application) Computer Integrated Manufacturing - (CIM)

http://dmtf.org/.
, Vol 2, pp 869-876.

Chanaron JJ and D Jolly, 1999. "Technological Management, Expanding the Perspective of Management of Technology". Management Decision, Vol 37, pp 613-620.

Chaston I, B Badger badger, name for several related members of the weasel family. Most badgers are large, nocturnal, burrowing animals, with broad, heavy bodies, long snouts, large, sharp claws, and long, grizzled fur. , T Mangles and E Sadler-Smith, 2001. "Organisational Learning Style, Competencies and Learning Systems in Small, UK Manufacturing Firms". International Journal of Operations and Production Management, Vol 21 No 11, pp 1417-1432.

Chaston I and T Mangles, 1997. "Core Capabilities as Predictors of Growth Potential in Small Manufacturing Firms". Journal of Small Business Management, Vol 35 No 1, pp 47-57.

Chen MJ and DC Hambric, 1995. "Speed, Stealth stealth

Any military technology intended to make vehicles or missiles nearly invisible to enemy radar or other electronic detection. Research in antidetection technology began soon after radar was invented.
 and Selective Attack: How Small Firms Differ from Large Firms in Competitive Behaviour", Academy of Management Journal, Vol 38 No 2, pp 453-82.

Corbett LM and C Campbell-Hunt, 2002. "Grappling with a Gusher! Manufacturing's Response to Business Success in Small and Medium Enterprises", Journal of Operations Management Operations management is an area of business that is concerned with the production of goods and services, and involves the responsibility of ensuring that business operations are efficient and effective. , Vol 20, pp 495-517.

Dangayach GS and SG Deshmukh, 2001. "Practice of Manufacturing Strategy: Evidence from Select Indian Automobile Companies", International Journal of Production Research, Vol 39 No 11, pp 2353-2393.

Eren Errin, 2004. "Technological Intelligence and Competitive Strategies: An Application Study with Fuzzy Logic fuzzy logic, a multivalued (as opposed to binary) logic developed to deal with imprecise or vague data. Classical logic holds that everything can be expressed in binary terms: 0 or 1, black or white, yes or no; in terms of Boolean algebra, everything is in one set or ", Journal of Intelligent Manufacturing, Vol 15, pp 417-429.

Gupta M and C Garret, 1996. "Managerial Implications of Flexible Manufacturing for Small/Medium Sized Enterprises", Technovation, Vol 16 No 2, pp 77-83.

Gyampah KA and SS Boye Boye may refer to:
  • Anker Boye (born 1950), Danish politician
  • Jan Boye (born 1962), Danish politician
  • Karin Boye (1900-1941), Swedish poet and novelist
  • Mame Madior Boye (born 1940), former Prime Minister of Senegal
, 2001. "Operations Strategy in an Emerging Economy: The Case of the Ghanaian Manufacturing Industry", Journal of Operations Management, Vol 19, pp 59-79.

Hodgkinson A and P McPhee, 2002. "SME Information Sourcing for Innovation and Export Market Developments: from Local or External Networks", University of Woolongong, Department of Economics, Australia, WP 02-08.

Karandikar PD, 1999. "Udhog Sadhana
For Sadhana the actress see: Sadhana (actress)


Sadhana (Sanskrit
", Mumbai, Udhog Mantralaya.

Lal K, 2004. "e-Business and Export Behaviour: Evidence from Indian Firms", World Development, Vol 32 pp 505-517.

Lau RSM RSM (in Britain) regimental sergeant major , 2002. "Competitive Factors and their Relative Importance in the US Plastic and Computer Industries", International Journal of Operations and Production Management, Vol 22 No 1, pp 125-135.

Mersha T, 2000. "Quality, Competitiveness and Development in Sub Saharan Africa", Industrial Management and Data Systems, Vol 100 No 3, pp 119-124.

Moen, 1999. "The Relationship between Firm Size, Competitive Advantages and Export Performance Revisited", International Small Business Journal, Vol 18, pp 53-72.

Nonaka I and H Takeuchi, 1995. The Knowledge Creating Company. Oxford University Press, New York New York, state, United States
New York, Middle Atlantic state of the United States. It is bordered by Vermont, Massachusetts, Connecticut, and the Atlantic Ocean (E), New Jersey and Pennsylvania (S), Lakes Erie and Ontario and the Canadian province of
, NY.

Nunnaly JC, 1978. Psychometric psy·cho·met·rics  
n. (used with a sing. verb)
The branch of psychology that deals with the design, administration, and interpretation of quantitative tests for the measurement of psychological variables such as intelligence, aptitude, and
 Methods. McGraw Hill, New York, NY.

Oyelaran-Oyeyinka B, 2004. "Learning and Local Knowledge Institutions in African Industry", UNU-INTECH, Maastricht, DP 2004-2.

Porter ME, 2004. "Have Time for Strategy, If You Want to Make a Difference" Times of India, January 12, p 16, New Delhi New Delhi (dĕl`ē), city (1991 pop. 294,149), capital of India and of Delhi state, N central India, on the right bank of the Yamuna River. .

--1998. Competitive Advantage: Creating and Sustaining Superior Performance. 2nd ed, Free Press, New York.

Pun KF, KS Chin, R Gill gill, in weights and measures
gill, in weights and measures: see English units of measurement.
, and AS White, 2000. "Management Issues of Strategy Formulation: An Empirical Study of Hong Kong Manufacturing Enterprises". In DL Moore and S Fullerton, (eds), International Business Practices: Contemporary Readings. The Academy of Business Administration, Ypsilanti, MI, pp 316-324.

Pun KF, KS Chin, AS White and R Gill, 2004. "Determinants of Manufacturing Strategy Formulation: A Longitudinal Study longitudinal study

a chronological study in epidemiology which attempts to establish a relationship between an antecedent cause and a subsequent effect. See also cohort study.
 in Hong Kong". Technovation, Vol 24, pp 121-137.

Singh RK, SK Garg and SG Deshmukh, 2004. "Competitiveness of Small and Medium Enterprises: Case of an Indian Auto Component Manufacturing Organisation, IIMB IIMB Indian Institute of Management, Bangalore (India)  Management Review, Vol 16 No 4, pp 94-102.

Tidd J, 1997. "Complexity, Networks & Learning: Integrative Themes for Research on Innovation Management". International Journal of Innovation Management, Vol 1 No 1, pp 1-21.

Times of India, 2002. "Small Scale Sector: An Engine of Growth", October 24, Delhi.

Verma SK, 2005. "Plastic Industry--A Global Outlook". Plastic Industry News Digest Digest: see Corpus Juris Civilis.


(1) A compilation of all the traffic on a news group or mailing list. Digests can be daily or weekly.

(2) Any compilation or summary.
, January, pp 15-16.

Vickery SK, C Droge and RE Markland, 1994. "Strategic Production Competence: Convergent, Discriminant dis·crim·i·nant  
n.
An expression used to distinguish or separate other expressions in a quantity or equation.
, and Predictive Validity In psychometrics, predictive validity is the extent to which a scale predicts scores on some criterion measure.

For example, the validity of a cognitive test for job performance is the correlation between test scores and, for example, supervisor performance ratings.
". Production and Operations Management, Vol 3 No 4, pp 308-318.

Vickery SK, C Droge and R Germain, 1999. "The Relationship between Product Customisation and Organisational Structure". Journal of Operations Management, Vol 17 No 4, pp 377391.

Vinas BCB BCB Banco Central do Brasil (Brazil's central bank)
BCB Borland C++ Builder
BCB Bangladesh Cricket Board
BCB Benzocyclobutene (low loss dielectric substrate)
BCB Bumiputra-Commerce Bank
BCB Broadcast Band
, J Bessant, GH Perez and AA Gonzales, 2001. "A Conceptual Model for the Development of Technological Management Processes in Manufacturing Companies in Developing Countries". Technovation, Vol 21, pp 345-352.

Wang JC and KH Tsai, 1995. "Strategies to Lift R&D Expenditure in Taiwan". Journal of Industry Studies, Vol 2 No 1.

Ward PT, R Duray, GK Leong, and CC Sum, 1995. "Business Environment, Operations Strategy and Performance: An Empirical Study of Singapore Manufacturers". Journal of Operations Management, Vol 13, pp 99-115.

Williams FPD (1) (Flat Panel Display) See LCD, plasma display, EL display, FED and flat panel display.

(2) (Field Programmable Device) An umbrella term for all chips that can be programmed by the customer including SPLDs, CPLDs and FPGAs. See PLD.
, DE Souza De Souza or D'Souza is a common Portuguese family name. Although it is still quite common outside Portugal -- especially in Brazil and India --, Souza is the old spelling of present-day Sousa. , ME Rosenfeldt and M Kassaee, 1995. "Manufacturing Strategy, Business Strategy and Firm Performance in a Mature Industry". Journal of Operations Management, Vol 13 No 1, pp 19-33.

Rajesh K Singh Suresh K Garg Mechanical Engineering Department Delhi College of Engineering Coordinates:  Delhi College of Engineering (DCE) is an engineering college in India.  

SG Deshmukh Mechanical Engineering Department Indian Institute The Indian Institute in central Oxford, England is located at the north end of Catte Street on the corner with Holywell Street and faching down Broad Street from the east.[1]  of Technology
Table 1: Profile of Responding Plastic Organisations (N=37)

Turnover             Respondents   Investment            Respondents
(Rs million)         (per cent)    (Rs million)          (per cent)

Up to 100            22 (59.46)    Up to 10              17 (45.95)
100-1000             11 (29.73)    10-250                16 (43.24)
1000-5000              3 (8.11)    250-500                 3 (8.11)
More than 5000               0     500-1000                      0
Did not specify        1 (2.70)    More than 1000          1 (2.70)

Product nature                     Location
Product for the
end user             13 (35.13)    Rural                         0
Product for the
other manufacturer   19 (51.35)    Semi Urban            18 (48.64)
For end user and
other manufacturer     3 (8.10)    Urban                 12 (32.43)
Did not specify        2 (5.41)    Did not specify        7 (18.92)

Total employees                    No of professionals
Up to 100            22 (59.45)    Up to 10              17 (45.95)
101-500              13 (35.13)    11-50                 12 (32.43)
More than 500          1 (2.70)    51-100                  1 (2.70)
Did not specify        1 (2.70)    More than 100           1 (2.70)
                                   Did not specify        6 (16.22)

One US Dollar is about 44 Rs; one Singapore Dollar is about 27 Rs.

Table 2: Summary Statistics and Reliability of Constructs

        Variable            Mean       SD     No of   Cronbach
                         (Scale 1-5)          items   alpha

   i.   Constraints         2.19       0.62    11       0.87
  ii.   Pressures           3.23       0.79     6       0.69
 iii.   Investment          2.68       0.68     7       0.80
          priorities
  iv.   Strategies for      3.25       0.56     9       0.75
          cost
   v.   Strategies for      3.31       0.58     9       0.79
          quality
  vi.   Competencies        3.20       0.66     7       0.80
          development
 vii.   Subjective          3.24       0.53    12       0.85
          Performance
viii.   Objective           3.56       0.53     5       0.82
          Performance

Table 3: Investment Priorities

Nature                   During past three years
of Investment            Mean   SD     t-value

i.     Research and
       development       2.92   1.11   -0.45
ii.    Automation of
       processes         2.89   1.12   -0.60
iii.   Information
       technology        2.06   1.15   -4.76#
iv.    Training of
       employees         2.51   0.89   -3.24#
v.     Welfare of
       employees         2.97   0.92   -0.18
vi.    Market research   3.03   1.06    0.16
vii.   Advertisement     2.39   1.06   -3.29#

Nature                   In next three years     Sig
of Investment            Mean   SD     t-value   (Two-tailed)

i.     Research and
       development       3.47   1.13   2.42 *    0.002
ii.    Automation of
       processes         3.71   1.06   3.89 *    0.000
iii.   Information
       technology        3.16   1.17   0.76      0.000
iv.    Training of
       employees         3.48   0.91   3.08 *    0.000
v.     Welfare of
       employees         3.34   1.07   1.82      0.026
vi.    Market research   3.59   1.19   2.83 *    0.002
vii.   Advertisement     3.12   1.29   0.55      0.000

* Significantly above moderate level at 0.05 level

#Significantly below moderate level at 0.05 level (Based on single
sample t-test), Significance (two-tailed) values are based on paired
sample t-test for difference of mean values.

Table 4: Areas of Competency Development

       Competencies         During past three years

                            Mean      SD      t-value

i.     To identify niches   2.71     1.00     -1.71

ii.    To develop new
       products             3.14     0.94      0.89

iii.   To optimise work
       environment          3.37     0.77      2.85 *

iv.    To use customer
       to define quality
       standards            3.46     0.85      3.17 *

v.     To introduce new
       technology           3.29     1.05      1.62

vi.    To use information
       to optimise
       decisions            3.36     0.93      2.33 *

vii.   To identify market
       changes              3.31     0.95      1.93

       Competencies         In next three years          Sig
                                                        (Two-tailed)
                            Mean     SD       t-value

i.     To identify niches   3.26     0.90     -1.71      0.000

ii.    To develop new
       products             3.49     0.89      0.89      0.032

iii.   To optimise work
       environment          3.54     0.74      2.85 *    0.110

iv.    To use customer
       to define quality
       standards            3.66     1.03      3.17 *    0.182

v.     To introduce new
       technology           3.68     0.88      1.62      0.046

vi.    To use information
       to optimise
       decisions            3.63     0.94      2.33 *    0.124

vii.   To identify market
       changes              3.91     1.03     1.93      0.004

* Significantly above moderate level at 0.05 level (Based on single
sample t-test), Significance (two-tailed) values are
based on paired sample t-test for difference of mean values.

Table 5: Strategies for Cost and Quality

       Strategies           To reduce cost

                            Mean     SD       t-value
i.     Reduction of
       inventory            3.03     1.07     0.15

ii.    Reduction of
       rejection/rework     3.25     1.16     1.30

iii.   Automation of
       operations           3.31     0.98     1.87

iv.    Vendor
       development          3.11     0.95     0.70
v.     Improvement of
       process capability   3.36     1.05     2.07 *

vi.    Improvement of
       maintenance          3.39     0.84     2.78 *

vii.   Improvements
       in product design    3.35     0.98     2.10 *

viii.  Research and
       development          3.22     1.02     1.31

ix.    Training of
       employees            3.22     1.00     1.31

       Strategies           To improve quality          Sig
                                                        (Two-tailed)
                            Mean     SD       t-value
i.     Reduction of
       inventory            2.88     0.88     0.154     0.598

ii.    Reduction of
       rejection/rework     3.29     1.22     1.30      0.556

iii.   Automation of
       operations           3.46     1.01     1.87      0.586

iv.    Vendor
       development          3.17     0.89     0.70      0.865
v.     Improvement of
       process capability   3.49     1.01     2.07      0.661

vi.    Improvement of
       maintenance          3.53     0.86     2.79 *    0.343

vii.   Improvements
       in product design    3.12     0.95     2.10 *    0.088

viii.  Research and
       development          3.43     0.98     1.31      0.118

ix.    Training of
       employees            3.42     0.91     1.31      0.147

* Significantly above moderate level at 0.05 level (Based on single
sample t-test), Significance (two-tailed) values are based on paired
sample t-test for difference of mean values.

Table 6: Subjective Performance in Comparison
to National Standards

        Measures                    In comparison to the
                                    national standards

                                    Mean     SD       t-value

i.      Manufacturing cost          3.42     0.73      3.42 *
ii.     Level of inventory          3.39     0.69      3.39 *
iii.    Delivery speed              3.31     0.71      2.58 *
iv.     Flexibility in production   3.14     0.99      0.84
v.      Percentage rejection        3.78     0.83      5.61
vi.     Labour productivity         2.86     0.90     -0.93
vii.    Capacity utilisation        3.06     1.04      0.32
viii.   Employee turnover rate      3.40     0.91      2.59 *
ix.     Throughput (Rs/hr)          2.78     1.16     -1.07
x.      Employee satisfaction       3.08     0.94      0.53
xi.     Customer satisfaction       3.37     0.94      2.33 *
xii.    Supplier satisfaction       3.18     0.88      1.18

* Significantly above moderate level at 0.05 level
(Based on single sample t-test).

Table 7: Objective Performance

        Objective performance       Mean     SD       t-value
        measures

i.      Market share                3.53     0.62     3.75 *
ii.     Sales turnover              3.80     0.69     5.14 *
iii.    Profit after tax            3.50     0.62     3.43 *
iv.     Return on investment        3.29     0.59     2.06
v.      Export                      3.37     0.59     2.69

** Significantly above moderate level at 0.05 level (Based on
single sample t-test).

Table 8: Relationship between Adopted Strategies
and Overall Performance

Strategies                 Correlation with   Regression analysis
                           Performance

1. Investment priorities   0.51 *             R              0.81
2. Cost reduction          0.78 **            R-square       0.67
3. Quality improvement     0.55 *             F              7.94
4. Competencies
development                0.53 *             Significance   0.001

* Correlation is significant at 0.05 level of significance,
** Correlation is significant at 0.01 level of significance.
COPYRIGHT 2006 Singapore Institute of Management
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2006, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.

 Reader Opinion

Title:

Comment:



 

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:small and medium enterprises
Author:Deshmukh, S.G.
Publication:Singapore Management Review
Geographic Code:9INDI
Date:Jul 1, 2006
Words:5408
Previous Article:Entrepreneurial intention: triggers and barriers to new venture creations in Singapore.
Next Article:The relationship among corporate political resources, political strategies, and political benefits of firms in China: based on resource dependency...
Topics:



Related Articles
Profile of the 'Enterprise-50' Companies and Other SMEs in Singapore.(small and medium enterprises)(Statistical Data Included)
ALGERIA - Economic Reform Will Boost Non-Oil Sector.
The role of microenterprise finance in economic development.
The importance of small and medium enterprises.(Transitional Economies)
Investment Future Forum: a capital idea for SME success.(small-to-medium enterprises)(Cover Story)
Widening the gap: big GAAP vs. little GAAP.(President'sPage)(Generally Accepted Accounting Principles)
A comparative study of Human Resource Management practices and advanced technology adoption of SMEs with and without ISO certification.(Small and...
We are connected to the world, now what?(A WINDOW ON THE NORTHWEST)
SMEs to benefit from new SAS integrated BI offering.(IT News and Products)

Terms of use | Copyright © 2009 Farlex, Inc. | Feedback | For webmasters | Submit articles