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The importance of absorptive capacity towards innovation in small-medium enterprises: is human capital a moderating factor?

Abstract

Previous literatures have reviewed that innovation ability relies on the capacity to absorp new knowledge (absorptive capacity). This study aims to examine the effect of absorptive capacity on innovation in the scope of small and medium enterprises (SMEs) in the province of West Java, Indonesia. To see whether human resource factors play a role in the ability of absorptive capacity, this study uses human capital as a mediator. The results of the study concluded that the scope of SMEs is different from multinational industries, where human capital apparently does not act as a mediator in the relationship between absorptive capacity and innovation.

Keywords

ABSTRAK

Beberapa literatur terdahulu telah mengulas bahwa kemampuan berinovasi sangat tergantung pada kapasitas penyerapan pengetahuan (absorptive capacity). Penelitian ini bertujuan untuk menguji pengaruh absorptive capacity terhadap inovasi di ruang lingkup industri kecil dan menengah di provinsi Jawa Barat. Untuk melihat apakah faktor sumber daya manusia memegang peran terhadap kemampuan absorptive capacity, penelitian ini menguji apakah human capital berperan sebagai mediator. Hasil penelitian menyimpulkan bahwa ruang lingkup industri kecil dan menengah berbeda dengan industri multinasional, di mana human capital ternyata tidak berperan sebagai mediator absorptive capacity terhadap inovasi.

Kata kunci: kewirausahaan, strategi bersaing, inovasi.

INTRODUCTION

Knowledge plays a very important role in the progress of a company. There is an argument that only companies that can produce new knowledge sustainably are able to achieve a better position to have a competitive advantage (Wang & Zatzick, 2018). However, knowledge itself lies with individuals and is created by individuals (Fakhri et al., 2014). Knowledge will provide a role for absorptive capacity when there is an activity of exchanging knowledge among its employees (Pradana et al., 2018).

According to Edquist (2009), this competitive advantage can be used for various things, and what is most needed in a dynamic environment is achieving success in innovation. To be able to innovate, companies must have the ability to gain knowledge, assimilate, and apply it to obtain commercial results (Liu et al., 2013). Innovation is the process of exploring and exploiting complex knowledge (Camisón & Villar-López, 2014). Companies need to integrate their internal results with other companies and research organizations in innovation systems (Edquist, 2009).

Zahra & George (2002) expressed a reconceptualization model so much connected between absorptive potential and innovation, as leads to company's ability in accordance with production competitive advantage. Lopez-Cabrales (2009) also believes that when such innovative capability is executed through ethnical capital aspects, often practices such as interpersonal knowledge yet education activities, and value determinations will primarily be based regarding employees' potentials.

Knowledge depends on absorptive capability among employees, since knowledge is also seen as investment on particular human asset (Stucki, 2016). Human capital is often seen as assets according to its scope regarding applicability (Pangarso, et al., 2017). Fakhri et al. (2014) points out that to build better human capital, people may additionally take part within certain forms of education: configuration study (e.g. excessive school or college education), informal instruction (e.g. work experience) or non-formal instruction (e.g. grown-up education) or via experiential learning (e.g. administration experience, industry experience).

According to Petrović & Krstić (2011), absorptive capacity (or abbreviated as ACAP) determines the ability of a company's innovation. Therefore, the goal of this research is to test empirically how absorptive capacity influence behaviour of expertise-sharing among employees, which in the end can lead to their capabilities to innovate. This study aims to empirically examine how the relationship between knowledge sharing capability focuses on activities and knowledge sharing behaviour of employees, absorptive capacity, human capital and innovation.

There have been a lot of studies connecting to the phenomena of absorptive capacity to human capital in their relations to innovation. However, most research on absorptive capacity outcomes still lacks elaborations regarding innovation and the interrelationships between all of them (Petrakis et al., 2015). This study will empirically elaborate how the relationship between knowledge sharing capability focuses on activities and behaviour of knowledge sharing among employees, ACAP, and formal mechanisms of innovation.

Absorptive Capacity (ACAP)

Aside from Zahra & George (2002) as the most prominent literature, many publications of ACAP have agreed organizational routines and processes by which the company accepted, assimilated, changed and exploited knowledge for producing organizational capabilities that are dynamic (Noblet et al., 2011); (Pradana & Perez-Luno, 2017). Furthermore, Noblet et al. (2011) explains that this capacity of absorption, namely the ability of a company to accept new values and useful information, assimilate, and apply them, are very important for innovative capabilities. Zahra & George (2002) reconceptualise absorptive capacity by way of proposing 4 dimensions, namely: acquisition, assimilate, transform, and exploitation. For this research, we are going to use the four dimensions.

Human Capital

In order to make sure innovation takes place, companies may also maximize human capital to develop organizational strategies in innovation (Petrakis et al., 2015). Bornay-Barrachina et al. (2017) pointed out the association between firm's investment and human capital, which in this case also involves social capital.

Human capital is deemed the combination between skills, knowledge, and attitude of the workforce (Mathis & Jackson, 2011).. A decent human capital is not only born from intellectual intelligence, but also through the process of reciprocal determinism, in terms of reciprocal determinists or interrelated concepts, that produce experience, skills based on the willingness to learn and one's motivation to do the work to give maximum results (Wang and Zatzick, 2018). In the examination of the effect of absorptive capacity on development, the association's human capital and the preparation speculations through which it is developed have been rather less explored (Pradana and Perez-Luno, 2017).

Human capital, according to (Franco et al., 2014), is somewhat for the most part regarded as an extra intermediary of absorptive capacity, which works alongside research and development to give outer learning a chance to achieve the company. For this research, we use the dimensions of human capital proposed by Lopez-Cabrales (2009).

Innovation

There is an assumption that the company's performance will increase if the employees share insights, experiences, and related knowledge (Lozano, 2014). Knowledge sharing activities among human capital will bring effect to absorptive capacity of employees (Roper et al., 2017). Through knowledge sharing, the knowledge held by employees to work together can form new understanding which in the end trigger innovation (Saragih et al., 2018).

In the process of successful knowledge transfer, the activity of donating knowledge and gathering can bring new understanding as the ability of companies to acquire and assimilate

knowledge (Fakhri et al., 2014). Knowledgeable employees tend to be more willing to be creative and apply new knowledge (Pangarso et al., 2017). Therefore, to achieve product innovation, a company requires unique and valuable human capital. For innovation as the last construct, we use scales by (Zhang et al., 2015) to build the questionnaire.

For the purpose of providing deeper explanation on how absorption capacity, human capital and innovation are connected, the following part will be talking about the development process of hypotheses in this study. The other purpose is to facilitate empirical testing of the relationship between absorptive capacity, human capital and innovation.

Hypothesis 1: absorptive capacity has a positive relation with the firm's human capital.

It is impossible for a company to exploit knowledge without acquiring it first (Noblet et al., 2011). Therefore, human capital practices are required for better direction of human assets to the firm's core capabilities (Lozano, 2014).

Hypothesis 2: human capital has a positive relation with the firm's innovation.

The company's research and development strategies essential aims are generating knowledge and contributing to the company's activities in generating more knowledge (Liu et al., 2013), The following hypothesis is compiled from the above description.

Hypothesis 3 and 4: Absorptive capacity has a positive relation with innovation (hypothesis 3) and mediated by human capital (hypothesis 4)

This research will explore more on how human capital plays an important role on absorptive capacity and its relationship towards innovation. This leads us to the research model, in which absorptive capacity, human capital and innovation are the three main focuses. The model can be seen as below:

3

Figure 1 Research Framework

METHOD

Our questionnaire primarily focused on questions regarding ACAP, human capital aspects and innovation. According to Malhotra et al. (2008), the construct should be determined so that it becomes a variable that can be measured. All question items use five-point Likert- type scale. The lowest response is indicated by the score '1', meaning strongly disagree, while the highest response is indicated by the score '5', meaning strongly agree.

For the empirical part, quantitative research design was adopted. This type of design allows for the use of structured questionnaire surveys, enabling researchers to generalise their findings from a sample of a population (Hair et al., 2016). We collected data from small-medium companies (SMEs) in West Java, Indonesia, using available

archives, interviews with managing officers, and data from industry actors before conducting our analysis. The questionnaire was distributed online to 111 small companies based on the survey we have conducted.

The end sample of 111 SMEs is the result of extraction from the total population of SMEs in 2018. According to the data on the West Java Province Statistics), there are 24057 SMEs spread all over the province. By using Slovin formula, we must survey minimum 100 samples to get maximum result. In the end, we received responses from 111 SMEs.

Constructs Validation

We use factor analysis in identifying associated factors with research through the use of key component analysis. The sampling adequacy was measured by the Kaiser-Mayer-Olkin (KMO). For this purpose, KMO value was used as a measure whether the data was sufficient to carry out factor analysis. The corresponding element-to-total ratio shown in the table below shows that we found two main indicators.

The following are the results of the factor analysis of the initial data. The risk value for each variable is greater than 0,7, but there are several indicators with a total element correlation value that is lower than the limit, so that it must be removed from the model.

TABLE I: FACTOR ANALYSIS

IndicatorsFactorsItem totalCuanhaah?a almha
Indicators11 2correlationCronbach's alpha
AC10,5660,5290,758
AC20,5440,459
AC30,5590,488
AC40,382a-0,278
AC50,6680,673
AC60,6090,518
AC70,514 a-0,268
AC80,7410,544
AC90,7370,533
AC100,7440,636
AC110,7220,559
AC120,6280,489
AC130,781 a-0,033
AC140,6630,543
AC150,6270,458
AC160,630 a-0,046
AC170,6060,501
AC180,6010,379
AC190,393 a-0,271
AC200,5790,394
HC10,6760,5120,899
HC20,6530,487
HC30,7300,539
HC40,7350,556
HC50,6200,473
HC60,6370,493
HC70,7040,525
HC80,6840,55
HC90,7760,657
HC100,8380,695
HC110,6370,545
HC120,6680,591
HC130,638 a0,181
HC140,6140,595
HC150,6570,383
HC160,6760,505
HC170,6110,455
HC180,6090,261
HC190,6130,402
HC200,7480,35
HC210,5460,556
HC220,5190,549
HC230,5570,522
HC240,5910,637
I10,6710,6090,928
I20,7900,744
I30,8450,810
I40,8560,812
I50,7840,723
I60,7320,669
I70,7520,687
I80,7550,679
I90,8170,753
I100,8330,773
Variance explained (%)60,51667,22771,757
Eigenvalue6,9217,9156,167

a. Excluded indicators

Because there are indicators with a loading factor value that is lower than 0.5, the indicator is removed from the model, namely HC1 - HC12. The following is the result of analysis with a loading factor that is greater than 0,5.

Based on the Table II, the AC variable has a lower AVE value than 0,5 but the composite reliability is high.

TABLE II: SCALE VALIDATION

VariabelIndicatorsλAVEComposite
Reliability
AC10,622
AC20,601
AC30,634
AC50,748
AC60,675
AC80,657
AC90,643
AbsorptiveAC100,6970,4100450,911912
Capacity (AC)AC110,684
AC120,615
AC140,650
AC150,659
AC170,608
AC180,516
AC200,565
HC140,452
HC150,7510,905967
HC160,834
HC170,770
HC180,6880,472974
Human CapitalHC190,721
(HC)HC200,746
HC210,549
HC220,581
HC230,653
HC240,728
I10,675
I20,7380,609300
Innovation (I)I30,803
I40,819
I50,761
I60,7310,939511
I70,801
I80,787
I90,833
I100,842

TABLE III: MULTICOLLINEARITY TEST

ModelCollinearity Statistics
ToleranceVIF
AC0,9701,031
1HC0,9701,031

We found that the result shows satisfactory validities of the model, either convergent and discriminant validity. Afterwards, the next step is to review the relationship coefficients of the constructs.

Finally, we followed the Sobel Test procedure as shown by (Fiedler et al., 2011) to test the mediating effects of human capital on ACAP and innovation.

0.297176

Original SampleStandard ErrorT-Statistics
H1AC -> HC0,2131700,1140771,868656
H2\(HC \rightarrow In\)-0,1357090,1030531,316881
H34 C . I0.0051560.0000762.401200

0.080076

TABLE IV: COEFFICIENT TABLE

The results show that ACAP has significant effect on human capital, the direction is positive, so the hypothesis is accepted (\(\beta\)=0,213, t stat = 1,868 > t-stat(1,64)). However, human capital shows no significant effect on innovation since the direction is negative, so hypothesis 2 is rejected (\(\beta\)=-0,135, t stat = 1,317< t table (1,64)). Talking about ACAP's significant effect on Innovation (hypothesis 3), the direction is positive, so hypothesis 3 is also accepted ( \(\beta\)=0,297, t stat = 3,481 > t table (1,64)).

\(AC \rightarrow In\)

The difference of chi-square between saturated and direct models aims to see whether the human capital variable acts or does not act as a mediating variable. Hence, we conducted Sobel test to see the result.

After calculating the Sobel Test, the result is obtained as depicted in Table V.

are not really advanced in education. The human capital aspects in the context of labours in SMEs are different if seen in the context of multinational companies or public institutions. Hence, the absorptive capacity is not guaranteed as an antecedent of innovation when the human capital factor is involved as a mediator.

3,481288

RESULTS, DISCUSSION AND CONCLUSION

Previous literatures have proven that absorptive capacity (ACAP) usually has close relationship with the knowledge sharing process of human capital and innovation as the end-product of a learning organization. The ability of employees conduct knowledge acquisition dissemination with their peers or fellow group members has a significant effect on the company's

TABLE V: MEDIATION TEST RESULT

НRelationshipPath coefficientError
standard
t-statConclusion
H4 AC\(\rightarrow\) HC \(\rightarrow\) IN \(\frac{\text{AC-HC}}{\text{HC-IN}}\)0,213
-0,136
0,114
0,103
-0,986Not significant

Based on the table above, the calculated t value (-0.986) is greater than the t-table (-1.64). This finding shows that in this case, the HC variable does not act as a mediating variable, thus hypothesis 4 is also rejected.

This rather disappointing finding can be explained by the probability that mostly the respondents of the SMEs are not conceptually established human capital. Most of the labours of the SMEs are trained workers in terms of practical tasks or physical activities, but they

ability to acquire and assimilate knowledge. When a company has optimized innovation, it will perform better in their activities.

In this case, the companies which know best way to maximize their human capital knowledge in the implication of ACAP can reap the benefits in innovation. Past literatures support this finding, noting that management levels of companies with maximum ability to turn ideas into action also perform better in disseminating knowledge. This research aimed to explore more on how human capital plays important role on absorptive capacity and its relationship towards innovation.

However, our result has shown that in the case of West Java SMEs' labours, the human capital factors do not act as a mediator between ACAP and innovation. Absorptive capacity might act as an antecedent of innovation and human capital factor is involved as a mediator if we see it in the environment of big companies, but within our research, this hypothesis was not supported in the SMEs environment. This result somehow corresponds with the results shown by Lozano (2014) , but contradicted the results by researches believing ACAP as an important factors for innovation in SMEs as well (Fernhaber & Patel, 2012) and (Tzokas et al., 2015).

As every research has its drawbacks, this research also has its limitations. Here, the limitations can be seen in its homogenous scope of study. We focused the research only in SMEs and merely within a province in Indonesia, so the results may differ due to differences in culture and environment. Therefore, one of our recommendations is to expand the study to other work environments. Various types of respondents can better explain the result on how a company provides a stimulus to employees to want to share knowledge to their peers, in absorptive capacity context.

Another limitation of this research is that perceptions that should be obtained from parts that are directly related to the measured variables cannot be met due to constraints or limitations in the field. Another suggestion for further research is it can be done in a specific focused group or individual analysis unit. It can improve the effectiveness of research and development corresponding to human capital aspects in innovation.

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