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https://doi.org/10.7906/indecs.18.2.9.

The Impact of Strategic Networking on Business Performance of Manufacturing SMEs Operating in a Predominantly Servise Based Economy

Bojan Morić Milovanović ; Libertas International University
Dinko Primorac
Goran Kozina


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Sažetak

Strategic networking represents a strategic intent of the firm to develop meaningful and sustainable long-term coopetitional business relationships with various market players. Through such market relationships, the focal firm can focus on the further development of its own core competences and simultaneously garner the network benefits. The purpose of this article is to examine the role and the level of influence strategic networking has on the performance of Croatian manufacturing SMEs. The relationship between strategic networking and business performance has been further tested by looking into a set of financial and non-financial performance indicators, where moderating role of the external environment has been used to even further explore the observed relationship. Although unidimensional analysis reveals positive influence of strategic networking on business performance, that is not the case when multidimensional analysis is applied, where only the reputation among other strategic networking antecedents has a significantly positive influence. Therefore, it can be concluded that these research results are inconclusive, whether looking at the existence, strength or direction of the observed relationships, and require further research.

Ključne riječi

strategic networking, business performance, external environment, manufacturing SMEs, multidimensional analysis

Hrčak ID:

255311

URI

https://hrcak.srce.hr/255311

Datum izdavanja:

30.6.2020.

Posjeta: 1.172 *




INTRODUCTION

The concept of networks and networking has its roots in various scientific disciplines, such as sociology, anthropology, psychology, economics, organizational behavior, entrepreneurship, etc. where researchers have generally viewed a network as a specific set of connections and relationships between various groups[1][2][3][4]. When viewing firm networks in particular, networking theory suggests that much of firm’s competitive advantage resides in the enduring collaborative business relationships[5][6] and that entrepreneurs, through networking activities are able to gain access to particular resources that they otherwise do not control, thus improving their business performance[2][3][6][7]. With the formation of business networks companies can reduce risk levels and production costs, increase flexibility, efficiency and knowledge capacity, which in turn leads to higher performance results[8][9][10]. Through strategic networks companies are able to better predict, prevent and absorb market uncertainties that affect their operations[8][11] and can jointly access previously inaccessible market segments[12]. Literature has confirmed that the extent of the relationship between strategic orientation and business performance is contingent on the industry in which the company operates, and additionally depends on various internal and external factors[4]. Therefore, this article contributes to the existing body of literature with the outcomes of the multidimensional analysis of the relationship between strategic networking (SN) and small business performance within manufacturing sector, specifically by taking into an account the moderating effect of the external environment (EE). Moreover, since SN has been investigated not only as a unidimensional but also as a multidimensional construct - and its influence on business performance has been further tested regarding the financial and non-financial aspects of business performance – this article attempts to integrate such findings into the present analysis. In methodological terms, the research has been conducted among 105 manufacturing SMEs using multiple and hierarchical linear regression analysis to test the relationships between SN, EE and business performance and to test the SN-business performance interaction effect. From the analysis can be concluded that SN positively influences small business performance, while the EE has a negative impact on the firm’s SN posture. Regarding the interaction effect of EE the findings are inconclusive as no evidence with regards to supporting the notion of the influence of EE on the relationship between SN and business performance could be extracted.

LITERATURE REVIEW AND HYPOTHESES

The notion of networks and networking is still ambiguous and contradictory when applied to the analysis of small business networks. Most studies of SMEs and their networks have mainly focused on the entrepreneur and his/her relationships with the rest of the network[1][6][13][14][15][16] and not enough studies focused on the long-term implications of such relationships. Therefore, strategic network can be defined as the composite of firm’s relationships with market players, including the long-term perspective in regards to the relationships between business owner and external players (individuals and firms) whereby the owner acquires information and resources while at the same time receives requisite support from his partners[10][17][18]. When looking at SN in particular as a multidimensional construct various authors have further refined this concept through its antecedents. Most common antecedents stated in the literature are: (a) trust, (b) commitment, (c) reputation, (d) communication and (e) cooperation[11][19][20][21][22][23]. Many view trusts as the most important antecedent that significantly contributes to the success of strategic network[19][22][24][25][26], as trust represents the basis for the development of social ties among network members[10][27]. Trust develops from personal relationships and connections, and can be seen as the controlling mechanism for the opportunistic behavior among partners and as a platform for knowledge and information exchange[10][11][22][28][29][30]. Commitment positively affects business performance as an element that maintains successful development of long-term business relationship[21][30][31] and therefore results in the willingness to endure short-term sacrifices in order for realizing long-term benefits[22][32]. Reputation represents an important antecedent of the strategic network, as well, since good and positive reputation is proxied by firm’s willingness and ability to provide quality products and services[11][25]. If the firm is highly valued and respected, this consequently represents valuable intangible resource[33], especially in the strategic network context, where good reputation not only encourages business partners for further cooperation, but it also leads to the reduction in transactional costs as there is no longer need to seek “better“ deals from other players outside strategic network, i.e. there is no need to seek new partners[11]. Therefore, reputation remains a key factor required for development of long-term business relationships, as it leads to reduction of overall uncertainty in the firm’s business environment[34][35]. Frequent communication between partners allows both parties to get better acquainted and to quickly exchange information in order to achieve common goals[36]. Specifically, intensive two-way communication allows resolution of disputes and facilitates coordination in respect to the execution of plans and programs, manages expectations, and helps with design of goals and performance evaluation metrics[37]. Thus, smooth communication process and the high quality of information exchange represent the basis for successful network performance[11][38]. On the other hand, cooperation represents joint planning, i.e. coordinated management, of similar or complementary activities to achieve superior mutual benefits[39]. Cooperation allows each network partner to have its own, albeit common and compatible goals, and to give up some part of autonomy in favor of mutual success[23][40]. By working together on specific goals, firms can develop such competences which otherwise would not be able to develop independently[23][41]. Consequently, joint participation in various business activities is a requisite for network partners to develop and improve their operations[21]. Therefore, SN provides access to much needed resources which reside outside of firm’s core capabilities[9][42], improves decision making process and increases firm’s operational flexibility and efficiency[9][43]. Moreover, SN has a positive effect on growth, both in terms of revenue and customer base, and increased profitability[1][44][45]. However, literature states some contrary findings as well, where SN has been identified as the cause for firm’s underperformance[45][46][47] mainly as coopetition in strategic networks creates omnipresent possibility that partners could start utilizing opportunistic and self-interest behavior[48][49]. It is henceforth paramount to further test the relationship between SN and business performance via multidimensional approach where financial and non-financial performance implications would be further investigated. We thus propose to test the following hypotheses and their corollaries: H1: Strategic networking has a positive effect on business performance. H1a: Commitment has a positive effect on business performance. H1b: Trust has a positive effect on business performance. H1c: Reputation has a positive effect on business performance. H1d: Communication has a positive effect on business performance. H1e: Cooperation has a positive effect on business performance. SN-business performance relationship generally has been tested by focusing on financial performance since increased networking activity allows firms to achieve economies of scale and scope, share mutually transferable costs and decrease overall exposure to various market related risks which in turn lead to increased financial results[12][44][45][50][51][52]. Therefore, we propose to further test the following hypotheses: H1.1: Strategic networking has a positive effect on business financial performance. H1.1a: Commitment has a positive effect on business financial performance. H1.1b: Trust has a positive effect on business financial performance. H1.1c: Reputation has a positive effect on business financial performance. H1.1d: Communication has a positive effect on business financial performance. H1.1e: Cooperation has a positive effect on business financial performance. On the other hand, relationship between SN and non-financial performance is not so grounded in the literature since there are contradictory findings where some scholars have determined positive relationship[1][12][16][53], while others have not[7][46][47]. To that end, we propose to test the following hypotheses: H1.2: Strategic networking has a positive effect on business non-financial performance. H1.2a: Commitment has a positive effect on business non-financial performance. H1.2b: Trust has a positive effect on business non-financial performance. H1.2c: Reputation has a positive effect on business non-financial performance. H1.2d: Communication has a positive effect on business non-financial performance. H1.2e: Cooperation has a positive effect on business non-financial performance. Contemporary business landscape is characterized by a high degree of complexity, unpredictability and volatility which is placing ever more pressure on entrepreneurs/managers to constantly search for new opportunities, lean process enabling technologies and cost optimization strategies, all with the single purpose of generating new value added to the business[54][55][56]. Most scholars depict EE as being turbulent[57][58], dynamic[59][60][61], and hostile[60][62]. Turbulent environment is mostly described as continuous and substantial changes characterized by high degrees of uncertainty and unpredictability in which becomes extremely difficult to predict the outcomes of implemented actions[57][63]. Hostile environment is characterized by a high level of competitiveness among market players which is reflected through the intense price, product, and technology competition. Hostile environments usually have a lack of resources, are subject to unexpected governmental interventions and have relatively limited growth opportunities[64][65][66]. Environmental dynamism represents degree, velocity, and predictability of the market changes and can be described as the overall level of uncertainty in the environment. Moreover, environmental dynamism may manifest itself in the form of market and innovation volatility, unexpected changes in consumers’ preferences and competitors’ behaviors, and disruptive innovations in production and service technologies[60][61][63][67]. Therefore, turbulent, dynamic and hostile environments have a profound effect on networking activities among SMEs since operating in highly uncertain environments drives firms to reshape their market position, operating practices and competitive strategies, which is why we propose to test the following hypotheses: H2: External environment has a positive effect on strategic networking. H2a: Turbulence has a positive effect on strategic networking. H2b: Rivalry has a positive effect on strategic networking. H2c: Dynamism has a positive effect on strategic networking. Uncertainty in the business environment is usually characterized as the risk emanating from incomplete information and as such affects the firm’s decision-making process with respect to the firm’s market position, structure and strategy[61][67][68]. External environment, mostly characterized as turbulence, hostility and dynamism, has an influence on the complexity of decision-making process which in turn drives management to focus more on improving organizational, day to day efficiencies[63]. Moreover, literature provides ample empirical evidence about the existence and broad extent of moderating effect EE has on the design of firm’s strategy and operational execution[62][69]. More specifically, contrary to the stable business environment, unpredictability and ambiguity would result in the firm’s extensive and profound search for suitable industry players in order to link and connect its activities in a competitive manner. Therefore, to that effect we propose to test the following hypotheses: H3: External environment has a moderating effect on the relationship between strategic networking and business performance.

METHODOLOGY

RESEARCH INSTRUMENT In order to conceptualize observed variables and measure their inter-relationships, strategic networking was conceptualized by five variables (commitment, trust, reputation, communication and cooperation), external environment by three variables (turbulence, hostility and dynamism), while business performance was conceptualized by two variables (financial and non-financial performance). Each of these variables were then operationalized and measured by a set of scales deeply grounded in the literature. Therefore, commitment as a variable depicting strategic networking was measured using the[70] scale, trust using the[31] scale, reputation using the[33] scale, communication using the[71] scale, and cooperation using the[7] scale. Turbulence, hostility and dynamism as variables depicting external environment were measured via[58] scale. Business performance, both financial and non-financial, has been measured by[73] scale. DATA A random sample of 1000 independent firms from the manufacturing sector was taken from the database of the Croatian Chamber of Economy and contacted in June and July of 2011 of which 500 represented firms with 1 to 49 employees (small firms) and the other 500 firms with 50 to 249 employees (medium-sized firms). From the sampling frame 105 business owners/managers responded to the mail questionnaire resulting in a response rate of 10,5 %. Regarding the business size of the respondents, 70 % were small firms, while 30 % (n = 32) were medium-sized firms. STATISTICAL METHODS Multiple linear regression analysis was used to test the relationships between strategic networking, external environment and business performance, while hierarchical linear regression analysis was used to test whether there exists an interaction effect of the external environment on the relationship between strategic networking and business performance.

RESULTS

In order to ensure multicollinearity would not have an influence on the results, means of the interaction variables were centered and multicollinearity diagnosis was applied, wherein variance inflation factors were well below critical values. As can be seen in Table 1, correlations among independent variables are relatively modest, ranging from –0,094 to

Table 1. Means, S.D.s, and Correlations (n = 105).
MeanS.D.123456
1. Performance24,248,121,00
2. Financial performance24,188,400,909**1,00
3. Non-financial performance24,309,290,926**0,685**1,00
4. Strategic networking (SN)4,971,000,496**0,419**0,489**1,00
5. External environment (EE)4,490,94–0,094–0,073–0,0980,0451,00
6. SNxEE0,1240,0820,1430,256**–0,0611,00

*+significant at 0,1 % probability level (2-tailed) *significant at 0,05 % probability level (2-tailed) **significant at 0,01 % probability level (2-tailed) 0,496. Strategic networking, as a first order variable, has a significantly positive effect on business performance (r = 0,496, p < 0,01), financial business performance (r = ,419, p < 0,01) and non-financial business performance (r = 0,489, p < 0,01) which provides support for hypotheses 1, 1,1 and 1,2. Correlations among the second-order independent variables are again relatively modest, ranging from –0,256 to 0,448 (shown in table 2). Table 3 shows that from the second order variables that conceptualize strategic networking only reputation (b = 0,21, p < 0,10) has a significantly positive effect on the overall business performance and financial performance (b = 0,26, p < 0,05), while none of the observed variables have significantly positive effect on non-financial business performance. Therefore, the findings support hypotheses 1c and 1,1c. The external environment does not have any positive influence on strategic networking; we are thus rejecting hypothesis 2, while only hostility as a second-order variable that conceptualizes

Table 2. Means, Standard Deviationss (S.D.), and Correlations (n = 105).
MeanS.D.12345678
1. Performance24,248,121,00
2. Financial performance24,188,400,909**1,00
3. Non-financial performance24,309,290,926**0,685**1,00
4. Commitment4,081,63,378**,315**,376**1,00
5. Trust5,841,12,448**,417**,407**,526**1,00
6. Reputation5,79,92,427**,424**,363**,406**,639**1,00
7. Communication5,131,25,378**,277**,410**,546**,564**,469**1,00
8. Cooperation4,011,43,358**,271**,380**,578**,512**,340**,648**1,00
9. Turbulence4,971,24–,080–,022–,119,088,019–,095,020–,047
10. Hostility4,681,04,148,116,154+ ,166,081,150,141,088
11. Dynamism3,831,26–,256**–,239*–,231*,050–,103–,086–,098–,086

*+significant at 0,1 % probability level (2-tailed) *significant at 0,05 % probability level (2-tailed) **significant at 0,01 % probability level (2-tailed)

Table 3. Results of Multiple Linear Regression Analysis (n = 105).
H1H1.1H1.2.H2H3
PerformanceFinancial performanceNon-financial performanceStrategic networkingPerformance (interaction)
βS.E.βS.E.βS.E.βS.E.βS.E.
Commitment,11,56,09,60,11.65
Trust,17,91,19,97,121.06
Reputation,21*1,00,26**1,06,131.16
Communication,05,80–,04,85,14.93
Cooperation,09,69,05,73,11.80
Turbulence–,04,09
Hostility,26**,12
Dynamism–,17–,08
Strategic networking (SN),50***,71
External environment (EE)–,11,73
SNxEE–,01,70
R square (R²),26***,22***,24***,05,26***
Adjusted R square,22***,18***,20***,02,23***

*significant at 0,1 % probability level (2-tailed) **significant at 0,05 % probability level (2-tailed) ***significant at 0,01 % probability level (2-tailed) external environment has a significantly positive effect on strategic networking (b = 0,26, p < 0,05), which supports hypothesis 2.b. From Table 3, can be seen that moderating effect of external environment on the relationship between strategic networking and business performance does not exists, which implies that there is not enough evidence to support hypothesis 3.

CONCLUSION

Investigating the interdependence of strategic networking and business performance among Croatian manufacturing SMEs reveled somewhat surprising results, especially by exploring uni and multidimensional aspects of the observed relationship, and more so, when including the moderating effect of the external environment to the model. Results of this analysis, which are analogous to the literature, showed that strategic networking, observed as unidimensional construct, enhances both financial and non-financial performance of Croatian manufacturing SMEs. On the other hand, when observed as multidimensional construct, among all five antecedents of strategic networking only reputation has a positive influence on business performance. More precisely, reputation has positive influence only on financial performance, while there is no evidence supporting the notion that any of strategic networking antecedents have positive influence on non-financial performance. There are many evidences in the literature implying that SN-performance relationship differs depending on various external factors and market conditions, therefore, our in-depth analysis revealed that external environment does not have positive influence on driving manufacturing SMEs towards extensive formation of strategic networks. Only hostility as one of external environmental antecedents has positive influence on strategic networking. More importantly, when investigating the effect external environment could have on SN-performance relationship it can be concluded that moderation effect is nonexistent.

IMPLICATIONS FOR RESEARCH AND MANAGEMENT

Researching the influence strategic networking, and its antecedents, on performance of manufacturing SMEs, operating in the context of a small, still developing and lagging economy highly dependent on its service industry, such as Croatia, this study has extended the existing body of literature abundant with findings based on the research conducted mostly in large and developed economies. More specifically, this article contributes to existing literature by analyzing the effect external organizational environment has on the relationship between strategic networking and business performance of small manufacturing firms operating in the small, transitional and open economy context. Therefore, this analysis embedded in the manufacturing sector context, extends previously explored perspectives and, furthermore, by integrating moderating effect of the external environment into the analysis contributes to unraveling the complex connotations strategic networking has in contemporary business literature. Research results imply that Croatian manufacturing SMEs rely extensively on their business partners and the benefits which such network provides, while reputation is the key indicator business owners and their management take into account when considering the potential partnering effects on their business performance; which is in line with the fact that traditionally Croatian SMEs rely on owner’s interpersonal relationships with various market players where owner’s reputation signals to other market players the potential of new venture’s business success. Moreover, this finding is not surprising considering Croatian economy is still going through transitional process in various business sectors (especially within manufacturing ones), where insolvency represents one of the main road-blocks for more efficient and extensive way of doing business; hence good business reputation enhances the chances for growing the business. Moreover, on the other hand, non-existing effect of external environment on strategic networking process and business performance indicates that Croatian manufacturing SMEs are heavily entrenched within their market shares and most likely even more heavily dependent on their strategic partners. Therefore, small business owners and their management should recognize the importance that antecedents of strategic networking have on business performance and should take them into account while designing their business strategies; even more so if operating in manufacturing sector within a transitional economy context. Said differently, by establishing sophisticated long-term network relationships, manufacturing SMEs can achieve a whole array of benefits and in turn be better positioned on both domestic and global markets. LIMITATIONS There are several limitations of this study, more specifically relating to the sample size and the rate of return, respondents’ potential subjectivity when providing feedback about the state of their business, and focusing only on one focal point and not including several respondents from the same company to participate in the research. More precisely, sample size is rather small since only 1000 manufacturing SMEs were contacted, out of which 70 % of respondents were small firms, while only 30 % were medium sized firms. Moreover, rate of return was only 10,5 % which could be argued to be technically satisfactory and in line with international publication standards, however, it raises a concern if these findings could be generalized to the entire population. Therefore, future research should be operationalized on a much larger sample size, in order to enhance the contribution to the understanding of the research issues. Moreover, future research should be continued over a longer time period, because longitudinal research would provide clearer insights into the relationship of strategic networking antecedents and business performance as related to the different environment contexts. As stated earlier, study design is based on a subjective perception of firms’ representatives, mostly comprised out of senior management, where they may be personally biased while assessing internal and external organizational environment and business performance. Therefore, metrics need to be developed and appropriate proxies must be operationalized in order to serve as a reference with respect to the subjective measures, and in turn minimize potential subjectivity of the respondents. This in turn would provide a morerobust understanding of the observed relationships and an increase in the overall reliability of the analysis. Lastly, research design could be further improved if the study would focus on several representatives from each of the observed firms and not solely rely on the answers provided by one of the company representatives.

ACKNOWLEDGMENT

Working version of this article has been presented at ENTerprise REsearch InNOVAtion Conference (ENTRENOVA) 2019 in Rovinj (Croatia) and authors would like to express special thanks to the reviewers whose valuable comments and suggestions contributed to the improvement of the overall quality of this research article.

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