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Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector

Navarro García, Antonio; Rey Moreno, Manuel; Pires de Lima, Pedro D'Alte Bártolo

Abstract

Taking the resource-based view –RBV- and the dynamic capability view –DCV- as an orientation, the main aim of this study is to develop the mediator role that competitive advantages play in the relations between strategic resources, dynamic capabilities and performance. The study takes place in a dynamic and changing sector: the sale of new cars in Portugal. The results show that (a) achieving competitive advantages, which are decisive for business results, depends on the available strategic resources and the generating of dynamic capabilities, (b) in dynamic and changing sectors strategic resources are essential to generate dynamic capabilities, (c) firms must center their attention on, more than results, the generating of sustainable competitive advantages as these act as a mediator variable of the effect of strategic resources and dynamic capabilities on performance. The data scrutiny uses structural equation modeling (SEM) through PLS as the statistical instrument. The sample comprises 89 firms which sell new cars in Portugal.

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JournalofBusiness,UniversidaddelPacífico(Lima,Peru) ISSN2078‐9424 24 Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector Antonio Navarro-García anavarr[email protected] Universidad de Sevilla, Spain Manuel Rey-Moreno [email protected] Universidad de Sevilla, Spain Pedro d’Alte Bártolo Pires de Lima [email protected] Universidad Autónoma de Lisboa, Portugal Abstract Taking the resource-based view –RBV- and the dynamic capability view –DCV- as an orientation, the main aim of this study is to develop the mediator role that competitive advantages play in the relations between strategic resources, dynamic capabilities and performance. The study takes place in a dynamic and changing sector: the sale of new cars in Portugal. The results show that (a) achieving competitive advantages, which are decisive for business results, depends on the available strategic resources and the generating of dynamic capabilities, (b) in dynamic and changing sectors strategic resources are essential to generate dynamic capabilities, (c) firms must center their attention on, more than results, the generating of sustainable competitive advantages as these act as a mediator variable of the effect of strategic resources and dynamic capabilities on performance. The data scrutiny uses structural equation modeling (SEM) through PLS as the statistical instrument. The sample comprises 89 firms which sell new cars in Portugal. Keywords: Strategic resources, dynamic capabilities, competitive advantages, performance, car sales sector. https://doi.org/10.21678/jb.2018.875 Paper received 02/10/2017 paper accepted 26/05/2018 Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 Editor in Chief: Prof. Dr. Luis Camilo Ortigueira-Sánchez Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 25 Introduction The crisis that, at the European level, has affected the sector of the sale of new cars in the last decade, brought about especially by a decrease in the demand, has produced intense changes in the sector, turning it into one of the most dynamic sectors of the European economies (Nicolini, Scarpa, & Valbonesi, 2016). These changes have taken place in Portugal, where the postulates of the traditional paradigm of the Industrial Economy (Capron & Hulland, 1999) do not appear to be sufficient to explain the strategic decision making and the business results. As a result, the following question arises: How do we explain that different firms which compete in the same market can obtain significantly distinct performances? The explanation is in the use made of strategic resources and the generating of dynamic capabilities (Lin & Wu, 2014). In this context, the resource-based view (RBV) points out that the accumulation and use of valuable, rare, inimitable and non-substitutable resources is the basis of business competitiveness and economic performance (Barney, 1991). Newbert (2008) also suggests that a relationship exists between value and rare resources and competitive advantages, and that competitive advantages are related to performance. These strategic resources can be of different types – information systems, infrastructures, etc.- and they drive the development of the business capabilities and skills which enable the firm to compete with guarantees in the sector. That said, in accordance with the dynamic capability view (DCV) the mere possession and use of these strategic resources may be insufficient to achieve cost advantages or a differentiated positioning in the market. To do so, one must take into account the sector's dynamism, orienting the organization to the generation of capabilities which dynamically allow the combating of threats and an appropriate response to the changes that may occur in the sector (Wilden, Gudergan, Nielsen, & Lings, 2013). From this perspective, the premises of the RBV and the DCV indicate that strategic resources and dynamic capabilities tend to have a direct impact on both the achievement of competitive advantages and performance. However, the literature is not conclusive about the following question: Must an orientation of strategic resources and dynamic capabilities mainly toward the achieving of sustainable competitive advantages exist in the sector where the firm competes, or must an orientation exist toward business results, or must one take both aspects jointly into account? To fill this research gap is the main aim of this present work, doing so, what is more, in a country –Portugal- and a sector – car saleswhere the effects of the crisis have been very marked and where the need to generate competitive advantages from strategic resources and the capabilities available has become essential for survival and business growth. This study has three main contributions. First, the study shows that in dynamic and changing environments, organizations must orientate themselves strategically toward the achievement of sustainable competitive advantages and not the business result in itself. Firms must know that competitive advantages play an essential role as a mediator variable in the relation between strategic resources-dynamic capabilities and business results. Second, the application of the principles of the RBV shows that the possession and use of strategic resources are essential to generate dynamic capabilities, positively contributing to the achieving of sustainable competitive advantages in costs, differentiation and staff efficiency. Finally, associated with the DCV which considers that dynamic capabilities are neither standard nor universal, the study demonstrates that to appropriately know the reality of the sector is essential to generate the necessary dynamic capabilities which enable the firm to compete in an advantageous position compared to its competitors. Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 26 This paper has four further sections. Following this introduction, the second section lays out the theoretical framework of the research as a reference to the principles of the RBV and DCV, proposing the conceptual model and hypotheses. The third section expounds the research methodology, details of the sample, and the data analysis tools for the empirical analysis. The fourth section presents the results and the main conclusions and managerial implications of these results. Theoretical Background and Research Hypotheses Strategic Resources Since the beginning of the 90s, the RBV has emerged as a key perspective to organize and explain the determinants of the organizational result. Historically, the term resources has been used by academics either to refer to the inputs used in organizational processes – production, commercial, etc.- or as assets which the firm has to carry out its strategy (Crook, Ketchen, Combs, & Todd, 2008). However, not all resources are strategic (Barney & Arikan, 2001), as to be strategic they must be valuable, generating cost reductions or increasing the value for customers, rare or unique in such a way that the competitors cannot possess them or only do so with great difficulty, and hard to imitate or substitute. These strategic resources can be both tangible (for example, installations, financial resources) and intangible (for instance, information systems, human capital) (Grant, 1996). This research considers six types of strategic resources, three of them tangible – installations and equipment, stocks and financial resources- and three intangible - knowledge, professional experience and the training level of the human capital. Nonetheless, in complex and quickly changing environments, the isolated use of these strategic resources only enables the development of specific activities in a firm, being able to increase their usefulness if they are are combined and managed for the generation of skills and organizational routines. These skills and routines dynamically facilitate adaptation and competence in the environment in which the firm acts (Wu, 2010). In this sense, strategic resources tend to be the origin of dynamic capabilities. These arguments lead to the proposal of the following research hypothesis: H1: Strategic resources have a direct and positive effect on the generation of dynamic capabilities. The RBV also points out that firms must accentuate the importance of the value of resources as sources of competitive advantages at the expense of a product-centered approach (Barney, Ketchen, & Wright, 2011). In this context, the RBV focuses on how a sustained competitive advantage is generated by the unique bundle of resources at the core of the firm (Barney, 1991). Yet though arguments exist in the literature which consider that the possession and use of specific resources can endow the firm with competitive advantages, fulfilling four conditions is necessary for this situation to occur (Powalla, 2012): (a) the available resources enable the firm to efficiently react in the face of the threats and opportunities Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 27 which arise ; (b) a small number of firms in the sector must possess and control these resources ; (c) the firms which do not have them suffer cost disadvantages when they try to obtain them; (d) these resources bring about a differentiated positioning in the market. The fulfillment of these four conditions concerns the strategic resources being able to endow the firm with temporary competitive advantages (Kozlenkova, Samaha, & Palmatier, 2014). If, as well, the strategic resources are difficult to imitate or the cost of doing so is practically unbearable for the competitors, the temporary competitive advantages can be sustainable over time (Netland & Aspelund, 2013). Therefore, the proposal of the following research hypothesis is: H2: Strategic resources have a direct and positive effect on the generation of competitive advantages. On the other hand, the RBV addresses the central issue of how firms can achieve superior performance relative to other firms in the same market and posits that superior performance results from acquiring and exploiting valuable, rare, inimitable and nonsubstitutable firm resources (Dhanaraj & Beamish, 2003). Specifically, the RBV recognizes the importance of internal determinants, and views firm-specific resources as the cornerstone of firm performance (Barney, 1991). From this perspective, heterogeneity in the resources explains variations in firm performance (Makadok, 2001). In this context, Crook et al. (2008) conclude in their metaanalysis that possessing strategic resources has a direct influence, although as a moderator, on the business result. In any case, the finality in the use of resources and business capabilities must not be the result in itself. The aim must be the achievement of sustainable competitive advantages, the explanation being the direct moderator effect of the resources on the business results. What is more, Crook et al. (2008) point out that in complex and dynamic environments – as occurs in the present research with the sector of car sales - when the focus of the firm is the generation of competitive advantages, these act as a mediator variable between the resources – and the capabilities – and the business results; a direct relation between strategic resources and results does not exist. These arguments support the following research hypothesis: H3: Strategic resources positively influence, although indirectly through the competitive advantages, the business results. Dynamic Capabilities The firm is something more than a mere combination of tangible and intangible resources. A firm is the structure which brings together the development of complex patterns of interaction between these resources, which translates as specific capabilities; that is to say, skills derived from the joint exploitation of various resources which the firm could use to achieve a competitive advantage (Amit & Schoemaker, 1993). In this Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 28 context, the competitiveness generated in the last decades has forced organizations to renovate, adapt and reconfigure their resources and capabilities at the rhythm of the market, being especially necessary in complex and constantly changing environments (Makkonen, Pohjola, Olkkonen, & Koponen, 2014). Thus emerges the dynamic capabilities focus –DCV- as a way of adapting the static character of the RBV to the dynamism of the markets (Eisenhardt & Martin, 2000). Therefore, the concept of dynamic capacity appears not so much in opposition to the RBV, but as its extension and complement. The definition of dynamic capabilities is the skill of the organization to integrate, construct and reconfigure its competences and align them with the market changes (Teece, Pisano, & Shuen, 1997). These capabilities are the ones which present the greatest degree of combination of knowledge in the organization, their nature being evolutionary, facilitating the absorption, integration and reconfiguration of new knowledge in accordance with the market's dynamic (Winter, 2003). Furthermore, they are very difficult to replicate as they have distinctive components for each organization. The development of dynamic capabilities enables the organizations to adapt themselves permanently to the demands and changes of the environment, situating the firm in an advantageous position compared to its competitors regarding the generation of value, the achievement of profits and competence in costs (Vivas López, 2005). These arguments bring about the following research hypothesis: H4: Dynamic capabilities have a positive and direct effect on the generation of competitive advantages. On the other hand, these dynamic capabilities can directly influence business results, absorbing even the effect that strategic resources can have on results (Lin & Wu, 2014). That said, what is normal is that when the firm competes in dynamic markets subject to complex and constantly changing environments, the business result is not the end in itself. The aim is rather the positioning that the firm wishes to have in the industry that the firm competes in, in such a way that the orientation of the dynamic capabilities will be toward the achievement of competitive advantages and not toward the result in itself (Wilden et al., 2013). These arguments lead to the proposal of the following hypothesis: H5: Dynamic capabilities positively influence, although indirectly through competitive advantages, business results. Competitive Advantages Competitive advantage is a term generally used to describe the relative performance of the firm compared to the competition in a specific market environment (Peteraf & Barney, 2003). This advantage derives from the asymmetry observed between different Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 29 firms belonging to the same sector of activity which enables some of them to be more competitive than their competitors (Ariyawardana, 2003). For this situation to occur, what is usually necessary is to generate greater value in their customers than their rivals do (Kaleka, 2002). Competitive advantages are the consequence of business strategy, fruit of the use of the organization's resources and capabilities. This situation enables the reduction of costs, the exploitation of market opportunities and the neutralization of competitive threats (Newbert, 2008). This differentiated positioning endows the firm with a greater likelihood of obtaining good economic and non-economic results compared to the competition and must be the main aim of organizations. This objective is especially necessary in dynamic and changing markets (Pezeshkan, Fainshmidt, Nair, Frazier, & Markowski, 2016), as takes place in the present research. These arguments lead to the proposal of the following hypothesis: H6: The generation of competitive advantages will directly and positively influence business results. Figure 1 reflects the relations between the variables included in the research. The evaluation of the direct effect of strategic resources and capabilities on the result demonstrates the mediator effect of competitive advantages in the strategic resourcesdynamic capabilities and performance relations. Fig. 1. Graphical description of the model. Strategic Resources Dynamic Capabilities Competitive Advantages Performance H1 H4 H2 H3 H5 H6 Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 30 Method Sample and Data Analysis Having proposed the conceptual model, the process for collecting the information took place in three phases: a) the elaboration of a prototype questionnaire from the premises of the RBV and of the DCV, and the help of 11 experts, all of them graduates in areas related with business sciences; b) the prototype questionnaire was submitted to a pretest with the help of 10 professionals of the sector of the sale of new cars in Portugal; c) then, addressed to the manager, the emailing of the questionnaire took place – this questionnaire being adapted to the reality of the sector and perfectly structured - – to all (502 establishments) of the sales points of new cars existing in Portugal. Afterward, three more mailings were simple reminders. Diverse contacts by phone requested the manager contacted to respond to the questionnaire. 89 completed questionnaires were received – a response rate of 17.7%. This result is within the acceptable range of 15 to 20% (Menon, Bharadwaj, & Howell, 1996). Structural equation modeling via PLS (partial least squares) is the choice of method for the data analysis and for assessing the relationships between constructs, taking into account the characteristics of the model (predictive) and the sample (fewer than 250 subjects) (Reinartz, Haenlein, & Henseler, 2009). The empirical analysis uses the SmartPLS 3.2.6 statistics package. Measurement Scales The defining of the measurement scales, with the adaptations necessary to the reality of the sector developed in the pretest, considered the previous contributions of Barney (2001) related to strategic resources, of Winter (2003) in the configuration of dynamic capabilities, and of Kaleka (2002), Newbert (2008) and Morgan (2012) in the defining of competitive advantages and performance. More specifically, the consideration was of: (a) 17 strategic resources: installations and equipment -5 items-; stocks -2 items-; availability of financial means -1 item; knowledge -3 items-; professional experience -3 items- and the training level of the human capital - 3 items; (b) four types of dynamic capabilities associated with the functionality of the sales point to satisfy the needs which constantly emerge, and related to the efficiency and the level of performance of the workshop, to the versatility of the sales team in its contact and communication with customers and to the location, ease of access, of parking and of visibility; (c) three large groups of competitive advantages: those associated with costs -11 items-, with differentiation -2 items- and with the staff efficiency -3 items-; (d) 12 items define the business result, including measures connected with sales – volume and growth -, profitability and customer loyalty. Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 31 Results The measurement model has been designed as a composite factor model following a reflective approach (Henseler, 2014). This design implies that the composite factor model does not impose any restrictions on the covariances between indicators of the same construct, and composites are formed as linear combinations of their respective indicators. In addition, the orientation of the model used is toward prediction. The basis of its assessment must be reliability and validity (Roldán & Sánchez-Franco, 2012). In this vein, the loadings of both indicators and dimensions exceed the 0.70 threshold (table 1). Consequently, the indicators and dimensions are reliable. The constructs and dimensions present high internal consistency, as their composite reliability indices exceed 0.7. In addition, an achievement of the convergent validity for all latent variables exists because the average variance extracted (AVE) ratios surpass the 0.5 benchmark (Table 1). Table 2 shows the discriminant validity. According to the Fornell–Larcker criterion, the square root of the AVE of each latent construct is greater than its correlations with any other latent variable (Fornell & Larcker, 1981). Furthermore, we used the heterotrait– monotrait (HTMT) ratio of correlations (Henseler, Ringle, & Sarstedt, 2015). In this respect, all the values are under 0.85, ensuring that the main constructs measure different aspects. To compare the proposed hypotheses, an assessment of the precision and stability of the estimations obtained is necessary. Following Hair, Hult and Ringle (2013), the use made of bootstrapping (5000 resamples; one-tailed Student’s t distribution with (n−1) degrees of freedom) has been to generate standard errors and t-statistics, where n is the number of subsamples to calculate the significance of the path coefficients. From these levels, the significance of the structural routes is evident and, therefore, the support or non-support of the hypotheses (Table 3). Confirmation exists, with important levels of significance, of all the hypotheses proposed in the research. Table 1. Evaluation of measurement model CONSTRUCT/Indicat or Total Sample; n= 89 Factor load Composited reliability (c) Average variance extracte d (AVE) CONSTRUCT/Indicat or Facto r load Composited reliability (c) Average variance extracte d (AVE) Strategic Resources (First order reflective construct) 0.944 0.702 Advantages Competitive (First order reflective construct) 0.938 0.689 REC01 REC02 REC03 REC04 REC05 REC06 REC07 REC08 REC09 REC10 REC11 REC12 REC13 REC14 REC15 REC16 REC17 0.735 0.761 0.728 0.716 0.710 0.723 0.779 0.771 0.747 0.783 0.730 0.741 0.818 0.736 0.792 0.760 0.770 ADVC01 ADVC02 ADVC03 ADVC04 ADVC05 ADVC06 ADVC07 ADVC08 ADVC09 ADVC10 ADVC11 ADVC12 ADVC13 ADVC14 ADVC15 ADVC16 0.778 0.735 0.744 0.762 0.780 0.760 0.751 0.772 0.724 0.784 0.785 0.736 0.712 0.796 0.742 0.796 Navarro-García, A., Rey-Moreno, M. & Pires de Lima, P.DA.B. (2018) Competitive Advantages as a Complete Mediator Variable in Strategic Resources, Dynamic Capabilities and Performance Relations in the Car Sales Sector. Journal of Business, Universidad del Pacífico (Lima, Peru) Vol.10(1): 24-37 32 Dinamic Capabilities (First order reflective construct) 0.910 0.718 Performance (First order reflective construct) 0.866 0.760 DCAP01 DCAP02 DCAP03 DCAP04 0.856 0.855 0.877 0.799 PERF01 PERF02 PERF03 PERF04 PERF05 PERF06 PERF07 PERF08 PERF09 PERF10 PERF11 PERF12 0.763 0.723 0.717 0.882 0.747 0.896 0.793 0.825 0.785 0.723 0.779 0.720 The Stone–Geisser (Q2) test used is a criterion to measure the predictive relevance of the dependent constructs. According to Chin (2010), if Q2>0, the construct has predictive relevance. In this study's model all the Q2 values of the dependent constructs display values above 0.22 (Table 3), which explains why the model has predictive relevance. Table 2. Discriminant Validity Construct Fornell-Larker Criterion 1 2 3 4 1. Dynamic Capabilities 0.847 2. Performance 0.226 0.872 3. Strategic Resources 0.730 0.286 0.838 4. Competitive Advantages 0.562 0.392 0.574 0.830 Note: Diagonal elements (bold) are the square root of the variance shared between the constructs and their measures (average variance extracted). Off-diagonal elements are the correlations among constructs Construct Heterotrait Monotrait Ratio (HTMT) 1 2 3 4 1. Dinamic Capabilities 2. Performance 0.288 3. Strategic Resources 0.802 0.328 4. Advantages Competitive 0.584 0.424 0.584 Table 3. Direct and indirect effects on endogenous variables Hypothesis Total sample; n=89 Effects on endogenous variables Direct effect t value (bootstrap) Explained variance Dynamic Capabilities R2 = 0.532; Q2= 0.371 H1: Strategic Resources > Dynamic Capabilities β1 = 0.729*** 11.095 53.22% Competitive Advantage R2 = 0.374; Q2 = 0.343 H2: Strategic Resources > Competitive Advantages β2 = 0.352** 2.329 20.20% H4: Dynamic Capabilities > Competitive Advantages β4 = 0.305* 1.941 17.14% Performance R2 = 0.261; Q2 = 0.228 H3: Strategic Resources > Performance β3 = 0.133ns 0.552 3.80% H5: Dynamic Capabilities > Performance β5 = 0.070ns 0.265 1.58% H6: Advantages Competitive > Performance β6 = 0.355* 1.718 13.92%