Pa ge 1 Pa ge 35 American Journal of Economics and Business Innovation (AJEBI) Influence of High-Involvement and High-Commitment HRM Practices on Innovation: The Mediating Role of Knowledge Sharing Ha Thanh Tung1, Le Ba Phong1* Volume 2 Issue 2, Year 2023 ISSN: 2831-5588 (Online), 2832-4862 (Print) DOI: https://doi.org/10.54536/ajebi.v2i2.1589 https://journals.e-palli.com/home/index.php/ajebi Article Information ABSTRACT Received: April 30, 2023 Accepted: May 03, 2023 Published: May 06, 2023 Given the important role of HRM practices and knowledge resources for firms to pursue innovation, the purpose of this study is to investigate the influence of high-involvement and high-commitment HRM practices on the innovation capability of firms via mediating role of knowledge sharing. This study has developed a proposed research model and applied Structural Equation Modeling (SEM) to test proposal hypotheses using data collected from 211 participants in 65 Vietnamese firms. The findings of this study support the significant impacts of both high-involvement and high-commitment HRM practices on innovation capability directly or indirectly through the mediating role of knowledge sharing. Especially, the empirical findings reveal that high-involvement HRM practices induce greater effects on innovation compared to the effects of high-commitment HRM practices. The findings of this study have significantly contributed to increasing the insight of the link between specific forms of HRM practice and innovation capability. Moreover, it provides an effective solution for Vietnamese firms to pursuit and foster innovation capability. Keywords High-Involvement HRM Practices, High-Commitment HRM Practices, Knowledge Sharing, Innovation Capability 1 Hanoi University of Industry, Bactuliem, Hanoi, Vietnam * Corresponding author’s e-mail: ebaphong.vn@gmail.com INTRODUCTION Due to the unpredictable technology change, competitive pressure, and diversity of customer needs, improving innovation capability is regarded as an optimal strategy for firms to achieve competitive advantages and overcome key rivals (Yang et al., 2018; Le, 2020; Lei et al., 2021). Innovation capability has become the main driving force for firms to attain competitive advantages (Kaya & Patton, 2011; Ha et al., 2019; Lei et al., 2021) and bring firms success in the dynamic markets in long term (Le & Lei, 2019; Sengphet et al., 2019; Le & Tran, 2020; Le et al., 2020). However, it is not easy for firms to develop innovation properly due to lack of understanding on HRM practices and appropriate processes that facilitate innovation (Lei et al., 2021; Cao et al., 2022; Son & Phong, 2023). To fill these theoretical gaps, this study will develop a proposed research model to examine the impacts of high-involvement and high-commitment HRM practices on the innovation capability of firms based on the mediating role of knowledge-sharing activities of employees in organizations. This study is expected to significantly expand the HRM theory and bring valuable insight of innovation management by following reasons. First, knowledge and human resources are widely accepted as the key and valuable assets for firms to create value and sustain competitive advantage in the rapidly changing environment (Chen & Huang, 2009; Le & Lei, 2018; Than et al., 2021; Siddiqua et al., 2022; Marhil et al., 2023). HRM practices are generally accepted as the primary means for firms to shape and develop employees’ skills, attitudes, and behavior by which they can successfully innovate and achieve organizational goals (Chang et al., 2011; Cao et al., 2022; Than et al., 2023). However, little empirical research has explored the potential effects of high-involvement and high-commitment HRM practices on innovation capability (Camelo-Ordaz et al., 2011; Alikaj et al., 2020; Le & Le, 2023 a, b; Than et al., 2023). Moreover, Haneda and Ito (2018) indicated that the possible differential influences of HRM practices on innovation have not yet been sufficiently examined in previous works. Accordingly, to clarify how high-involvement and high-commitment HRM practices affects innovation capability, this study proposed the first research question (RQ). RQ1. Do high-involvement and high-commitment HRM practices induce different influences on innovation capability? Second, knowledge sharing (KS) activities are seen as one of the most essential ingredients to enrich organizational knowledge resources for fostering innovation capability and key outcomes (Le & Lei, 2018; Le & Lei, 2019; Phong & Son, 2020; Lathong et al., 2021). However, little research has examined antecedents or conditions that encourage KS processes of employees for innovation (Le & Lei, 2019; Than et al., 2021). In addition, although several studies indicated the importance of HRM practices in the creation of an appropriate climate for KS activities, little to no study has investigated the concurrent effects of different HRM models on KS activities of employees. Given the importance of HRM practices and the theoretical gaps with respect to its influence on KS process, this study attempts to bring the answers for the second research question. RQ2. Do high-involvement and high-commitment https://doi.org/10.54536/ajebi.v2i2.1589 https://journals.e-palli.com/home/index.php/ajebi Pa ge 36 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 HRM practices significantly affect knowledge sharing? Third, literature highlighted the necessity of HRM practices to encourage employees to ready share more individual knowledge and expertise for innovation (Camelo-Ordaz et al., 2011; Le & Le, 2023 a, b). This implied that HRM practices enable firms to enhance employees’ capability of generating knowledge within their sphere of influence, and maximize the effects of shared knowledge for organizational innovation (Tan & Nasurdin, 2011; Lei et al., 2021; Than et al., 2023). Especially, Than et al. (2023) stressed the need of advancing the comprehension of how HRM practices connect with KS processes to stimulate innovation capability for firms. Against such background, to bridge the theoretical gaps and provide deeper understanding on mediating mechanism of KS process on HRM practices- innovation relationship, this study attempts to shed a light on third research question. RQ3. Do KS behaviors mediate the influence of high-involvement and high-commitment HRM practices on innovation capability? To fill research gaps addressed above, this study develops an integrated research model to estimate the effects of high-involvement and high-commitment HRM practices on innovation capability of Vietnamese firms via mediating role of KS activities. This study applies structural equations modeling (SEM) to examine the correlation between the latent variables in the proposal research model based on the data collected from 211 participants in 65 manufacturing and service firms in Vietnam. This study is expected to provide theoretical and practical initiatives on HRM practices and KS to pursuit and improve innovation capability for Vietnamese firms. LITERATURE REVIEW AND HYPOTHESIS The Influences of HRM Practices on innovation capability Innovation has been recognized as an important factor for firms to create value and have a great influence on competition (Mintzberg, 1994; Son & Phong, 2023). Innovation is fast becoming a crucial factor in firm performance and survival as a result of the evolution of the competitive environment (Hui et al., 2018; Le & Le, 2021; Gui et al., 2022). The literature revealed that there are many different definitions of innovation capability in the current research (Baregheh et al., 2009; Le & Lei, 2019; Le, 2021; Nguyen et al., 2022). However, it is defined as the process of the introduction and implementation of new ideas, products, services, procedures, technology, organizational structures, plans and programs, to increase organizational performance and achieving organizational success (Rujirawanich et al., 2011; Van et al., 2018; Le & Lei, 2019; Lathong et al., 2021). The HRM literature offers two basic approaches that an organization can utilize to manage relationships with its employees. On the one hand, high-involvement HRM practices emphasize the mutual long-term exchange relationships (Camelo-Ordaz et al., 2011). It is considered as a management approach focusing on employee involvement and a strong instrument of practices to foster the development of employee’s knowledge, skills, and motivation (Rubel et al., 2017; Yasir & Majid, 2020). On the other hand, high-commitment HRM practices refer to management approach focusing on encouraging employees to identify organizational goals, and working hard to enhance productivity and efficiency. Therefore, these firms attempt to obtain talented employees and encourage employees to reach innovative goals (Chiang et al., 2011; Than et al., 2023). Previous studies argued that firms adopting high-commitment HRM practices can create a high-commitment and motivation among employees such as employment practices, appraisal, competitiveness, fair compensation, comprehensive training and development (Camelo-Ordaz et al., 2011; Chiang et al., 2011; Than et al., 2023). The remarkable deliberation on consequences of HRM practices indicated that organizations might increase their innovation capability and sustain competitive advantages through applying HRM practices (Than et al., 2023). Thus, this study investigates the effect of high- involvement and high-commitment HRM practices on innovation capability. Regarding the relationship between HRM practices and innovation, previous studies have shown the positive and significant impacts of HRM practices on innovation capability. Indeed, Chen and Huang (2009) claimed that strategic HRM practices can affect and alter employees’ attitudes, capacities, and behaviors to attain organizational goals. This assists in nurturing and creating the necessary conditions and catalysts for employees to develop innovation activities. De Winne and Sels (2010) justified that a wide range of HRM practices is more beneficial for innovation compared with low human capital in start- ups. Laursen and Foss (2014) have critically discussed the literature and indicated the positive relationship between HRM practices and important outcomes of innovation. Diaz-Fernandez et al. (2017) noted that HRM practices served as antecedent of innovation by which firms should invest in HRM practices to effectively use available resources for arousing innovation. Aman et al. (2018) argued that the purpose of HRM practices is to provide an environment which is conducive enough to develop employees’ skills and competencies for innovation. In particular notes, recent studies supposed that high- involvement and high-commitment HRM practices are primary tools for improving firms’ innovation outcomes due to its capabilities of transforming and obtaining innovative behaviors from employees (Yasir & Majid, 2020; Than et al., 2023).Above arguments support positive effects of HRM practices on innovation capability, so following hypotheses are posed (see Figure 1): H1a. High-involvement HRM practices positively affect innovation capability. H1b. High-commitment HRM practices positively affect innovation capability. https://journals.e-palli.com/home/index.php/ajebi Pa ge 37 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 The influences of HRM practices on knowledge sharing Knowledge is well known as the invisible and valuable resource of an organization (Son et al., 2020). Le and Lei (2019), supposed that the effectiveness in the process of sharing knowledge is the determinant of an organization’s success. As a result, organizations need to pay great attention to improving knowledge sharing activities in their firms. KS is defined as processes of exchanging information and know–how among employees for the accomplishment of specific tasks in organizations (Le & Lei, 2019; Le & Nguyen, 2023). Literature revealed that successful extent of initiatives of knowledge management mainly depends on the effectiveness of knowledge sharing activities in an organization (Le & Lei, 2018; Yang et al., 2018; Le & Nguyen, 2023). As a result, KS activities have a great potential and benefits for firms to follow and enhance innovation capability. HRM practices are regarded as the primary approaches to evoke and reinforce organizational knowledge resource that firms need for meeting their key goals (Chen & Huang, 2009; Than et al., 2023). Soliman and Spooner (2000) highlighted the strategic role of HRM practices in identifying knowledge gaps and ensuring the success of knowledge management programs directed at capturing, using and re-using employees’ knowledge. They argued that HRM practices help to create a favorable culture encouraging the free flow of knowledge for meeting organizational goals. Chiang et al. (2011) found that HRM practices induces positive effects on employees’ KS behaviors directly or indirectly by its impacts on their willingness to devote themselves to an organization. According to Jimenez-Jimenez and Sanz-Valle (2013), HRM practices are critical antecedents of generating an appropriate and beneficial culture for encouraging processes of acquiring and sharing knowledge in an organization. Adopting a qualitative research method based on a multiple case study, Gope et al. (2018) showed the evidence on the positive relationship between HRM practices and organizational knowledge resource due to significant impacts of HRM practices on the motivation and retention of employees for process of acquiring and sharing knowledge. Recently, Than et al. (2023) argued that HRM practices contribute to the creation of an organizational social climate where employees are willing to share their knowledge. There finding showed that HRM practices are significantly associated with processes of sharing knowledge among employees. To clarify the influence of high-involvement and high-commitment HRM practices ib KS, this study proposes the following hypotheses: H2a. High-involvement HRM practices positively affect knowledge sharing. H2b. High-commitment HRM practices positively affect knowledge sharing. The influences of knowledge sharing on innovation capability Prior researches highlight KS as an important precursor of innovation capability (Yang et al., 2018; Le & Lei, 2019; Phong & Thanh, 2023). Specifically, Podrug et al. (2017) pointed out that the willingness of employee to donate and collect knowledge significantly contributes to improving innovation capability for organization. Yang et al. (2018) asserted that KS among employees may help firms to have superior innovation capability because firms can only perform effectively manage knowledge if employees are willing to sharing their knowledge with the others. Le and Lei (2019) supposed that promoting KS practices among individuals might be optimal solutions for firms to increase its capability of generating new ideas and developing new business opportunities, and consequently facilitating innovation activities. Previous studies argued that capability in transforming and applying knowledge determines a firm’s degree of innovation (Lei et al., 2019a, b). KS processes can serve as the main drivers that enhance organizational capability for radical and incremental innovation (Le et al., 2020; Shehzad et al., 2021). Some recent studies also justified that fostering processes of sharing key information, knowledge and resources among employees is a prerequisite and optimal solution for increasing creative ideas and innovation Figure 1: Proposed research model https://journals.e-palli.com/home/index.php/ajebi Pa ge 38 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 capabilities of firms (Le et al., 2020; Than et al., 2023). These arguments support positive effects of KS on innovation capability. So. This study proposed following hypothesis: H3. Knowledge sharing activities positively predict innovation capability. Above discussions show that HRM practices positively affect KS, which in turn significantly affect innovation capability. Additionally, prior research showed that KS is an important mediating variable between HRM practices and innovation (Cao et al., 2022; Than et al., 2023). We, therefore, proposed that: H4a: KS mediates between High-involvement HRM practices and innovation capability H4b: KS mediates between High-commitment HRM practices and innovation capability METHODOLOGY Sample and data collection This study employs survey method for data collection. The paper used convenient sampling method to collect data from medium and small firms in some major cities of Vietnam such as Hanoi, Danang and Hochiminh. We communicated with representatives of these firms who mainly worked in departments of HRM by phone or make personal visits to explain the purpose of the research, and ask for their assistance in collecting data. The respondents need to be vice managers, head of departments, team leaders to ensure having full understanding on firm’s business situation. We used the measurement items that adapted from existing scales in the literature to develop the initial list of items. We then conducted a pilot test based on in-depth interviews with five outstanding academic scholars and 35 participants from three firms to refine the questionnaire and align with the Vietnamese context. In the formal data collection, this study sent 375 questionnaires to the representatives of 65 firms and received 233 ones, among which 211 ones are valid, with a 56.2% valid rate. Variable measurement To ensure the validity and reliability of the study, the variables were measured using items developed and employed in previous studies. All items were measured via five-point Likert-type scales ranging from “1” (strongly disagree) to “5” (strongly agree) or from “1” (strongly unwilling to) to 5 (strongly willing to). This study used six items adapted from the study of Camelo-Ordaz et al. (2011) and seven items adapted from the study of Kang and Kang (2016) to measure individuals’ perception of high-involvement HRM and high-commitment HRM practices in their firms respectively. This study used 10 items adapted from the study of Yang et al. (2018) to measure the KS activities in organizations. For measuring innovation capability, this study used 6 items adapted from the research of Nguyen et al. (2019) to measure firm’s capabilities of creating new products, services and processes (Table 1). Table 1: Scale of factors in the proposal research model Factors Items Source High-involvement HRM practices (I-HRM) IHRM1 My firm emphasizes promotion from within Camelo-Ordaz et al. (2011)IHRM2 Performance appraisals include developmental feedback IHRM3 Selection process assesses the ability to collaborate and work in a team IHRM4 Training activities focus on team building and interpersonal relations IHRM5 Appraisals are based on team performance IHRM6 Appraisals focus on employees’ ability to work with others High-commitment HRM practices (C-HRM) CHRM1 My firm often strives for employment security Kang and Kang (2016)CHRM2 My firm often hires employees based on their aptitude and specialty CHRM3 My firm often grants employees the authority necessary to perform their work CHRM4 My firm often compensates employees fairly based on their performance CHRM5 My firm often provides employees with fair opportunities for training CHRM6 My firm often treats employees without any discrimination CHRM7 My firm often shares extensively financial and performance information with employees Knowledge sharing (KS) KS1 Usually, I do my best and offer suggestions while discussing work-related matters with my colleagues Yang et al. (2018) KS2 I am usually willing to share my knowledge and experience with others KS3 I am willing to answer the questions of my colleagues as well as I can. KS4 I usually record as much as possible when I am writing a document or a report. https://journals.e-palli.com/home/index.php/ajebi Pa ge 39 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 KS5 If something is hard to explain, I gladly give my colleagues a demonstration KS6 I am willing to offer less-experienced colleagues opportunities to perform KS7 When my colleagues are in need, I do my best to offer them needed information and documents KS8 I tell colleagues where to look for support if I can't help them with their problems KS9 I encourage my colleagues when they are facing difficulties at work KS10 When I teach my colleagues, I express my ideas in a way in which they can be fully understood Innovation capability (IC) IC1 Our firm frequently tries out new ideas Nguyen et al. (2019)IC2 Our firm seeks new ways of doing things IC3 Our firm is creative in its operating methods IC4 Our firm is frequently the first to market new products and services IC5 Innovation is perceived as too risky in our firm and is resisted (reversed coded) IC6 New product introduction in our firm has increased during the last five years RESULTS Measurement model A series of tests are performed to assess the validity and reliability of the constructs (Table 2). Specifically, to assess the reliability of the latent variables, basing on suggestion of Nunnally and Bernstein (1994), this study used the Cronbach’s alpha coefficients of each one that require greater than the level of 0.7. Confirmatory factor analysis (CFA) to test for the convergent validity; and comparing the squared correlations between the latent variables and square root of average variance extracted (AVE) to test the discriminant validity of measures (Fornell & Larcker, 1981). Results in Table 2 showed AVE, CR, mean, standard Table 2: Descriptive statistics and average variances extracted from constructs Construct AVE CR Cα Mean SD IHRM CHRM KS IC High-involvement HRM (IHRM) 0.60 0.91 0.91 3,37 0.66 0.77 High-commitment HRM (CHRM) 0.72 0.94 0.94 3.36 0.49 0.69 0.84 Knowledge sharing (KS) 0.70 0.95 0.95 3.41 0.58 0.55 0.59 0.83 Innovation capability (IC) 0.67 0.92 0.92 3.67 0.59 0.59 0.54 0.72 0.81 Note: Cα ≥ 0.7; CR ≥ 0.7; AVE ≥ 0.5; Diagonal elements (in bold) are the square root of the AVE. deviation (SD) and C. These results have provided the evidence for the evidence on the reliability of scales as well as the convergent validity of constructs. In addition, to evaluate the discriminant validity of latent constructs in the proposal model, the paper used the squared correlations among the latent factors to control whether they are smaller than each latent variable’s square root of AVE or not. Table 2 also points out that the squared correlations among the latent factors are lower than square root of AVE of each one (diagonal elements in bold). Thus, according to Fornell and Larcker (1981), the results have provided significant support for the scales’ discriminant validity. Fit indices of the measurement model obtained from CFA model show that the model fits the data (see Table 3). Table 3: Overall fit index of the CFA model Fit index Scores Recommended value Absolute fit measures CMIN/df 1.657 ≤2a; ≤5b GFI 0.832 ≥0.90a; ≥0.80b RMSEA 0.056 ≤0.8a; ≤0.10b Incremental fit measures NFI 0.900 ≥0.90a; TLI 0.950 ≥0.90a; CFI 0.954 ≥0.90a; Notes: a Acceptability: acceptable; b Acceptability: marginal https://journals.e-palli.com/home/index.php/ajebi Pa ge 40 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 Findings The paper applied Structural equation model with procedures of maximum likelihood estimation to examine the proposal hypotheses. The findings indicated that the fit indices of the proposal model are satisfactory (χ2=611.603; df = 369; RMSEA = 0.056; GFI = 0.832; CFI = 0.954; TLI = 0.955). The results show that the correlation among latent factors fit the data. The main findings of this study are shown in Table 4 and Figure 2. Figure 2: Results of the structural equation model Direct effect analysis As shown in the Table 4 and Figure 2, the empirical findings revealed that influences of high-involvement innovation capability are statistically significant (= 0.263; p < 0.001), favoring for hypothesis H1a. In contrast, the results indicated that the impacts of high-commitment HRM practices on innovation capability ( = 0.027; p > 0.1) is not significant. So H1b is not supported. Table 4: Structural model results Hypotheses Effect Estimate t-value Results H1a. High-involvement HRM Innovation capability + 0.263*** 3.315 Supported H1b. High-commitment HRM Innovation capability + 0.027 0.318 Not supported H2a. High-involvement HRM Knowledge sharing + 0.261** 2.998 Supported H2b. High-commitment HRM Knowledge sharing + 0.417*** 4.554 Supported H3.Knowledge sharing Innovation capability + 0.564*** 7.627 Supported Notes: ***P < 0.001; **P < 0.05. Hypothesis H2a.b relating to the influence of high- involvement and high-commitment HRM practices on KS activities are statistically significant and quite large. So H2a.b is supported. Specifically, the results showed that the impacts of high-commitment HRM practices on knowledge sharing (= 0.417; p < 0.001) is more significant than influence of high-involvement HRM practices on knowledge sharing ( = 0.261; p < 0.05). The findings in Table 4 also confirmed the positive effect of knowledge sharing activities on innovation capability (= 0.564; p < 0.001). Accordingly, H3 is supported. This finding revealed that knowledge sharing significantly predict organizational capability for innovation. Indirect effect and total effect The paper does not just give evidence about the direct influences of high-involvement and high-commitment HRM practices on innovation capability. It also demonstrates how knowledge sharing activities mediate the relationship between specific models of HRM practices and innovation capability. According to the recommendation of Preacher and Hayes (2008), to show the evidence for the mediating role of knowledge sharing between HRM practices and innovation capability, the paper has applied procedure of bootstrap confidence intervals with 3,000 iterations to examine and assert the indirect effects’ immensity and Table 5: Test for indirect effects Path Direct effects Indirect effects Total effects Bias-corrected confidence intervals Lower confidence level Upper confidence level IHRM KS IC 0.263*** 0.147** 0.410*** 0.049 0.255 CHRM KS IC 0.027 0.235*** 0.262** 0.236 0.365 Note: ***P < 0.001; **P < 0.05; *P < 0.1. https://journals.e-palli.com/home/index.php/ajebi Pa ge 41 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 statistical significance. The results are shown in the Table 5. Table 5 showed indirect effects of high-involvement HRM practices (= 0.147; p < 0.05) and high-commitment HRM practices ( = 0.235; p < 0.001) on innovation capability are statistically significant and lies in the confidence interval. Consequently, hypothesis H4a.b is significantly supported. In other words, the empirical result has firstly confirmed that employees’ knowledge sharing activities significantly mediate the effects of high- involvement and high-commitment HRM practices on innovation capability. DISCUSSIONS The extant literature emphasizes that innovation is a key driver for firms’ ability to survive in dynamic and intensely competitive environments (Le & Lei, 2019; Nguyen et al., 2022; Than et al., 2023). Accordingly, improving innovation capability has been recognized as a crucial factor for firms to cope with the challenges of uncertainty, increasingly competition, and attaint competitive advantage in the context of the rapid changes of business environment, industrial revolution, pursuing globalization, digitalization and free trade agreements (Le & Lei, 2018; Ha et al., 2019; Nguyen et al., 2019; Le, 2021). Thus, how to successfully improve innovation capability for firms is always a top concern of scholars and practitioners. By investigating and highlighting the roles of specific models of HRM practices and knowledge sharing activities as the important determinants of innovation capability, the paper has considerably contributed to advancing the development of theories of HRM, knowledge management and innovation management as following reasons. First, due to the important role of HRM practices in fostering innovation capability, scholars emphasized the need of examining this relationship which have not been explicitly studied (Cao et al., 2022; Than et al., 2023). By investigating the effects of high-involvement and high- commitment HRM practices on innovation capability, the paper significantly contributes to filling the theoretical gaps, and highlights that high-involvement HRM practice is one of the most optimal solutions for firms to stimulate innovation capability. Specifically, contrary to the effect of high-commitment HRM practices on innovation capability which is not statistically significant, the empirical findings reveal that influences of high- involvement HRM practices on innovation capability is significantly and positively. The findings imply that CEOs and managers of Vietnamese firms should pay much attention to practicing high-involvement HRM for strongly stimulating its capability for innovation. Second, an important contribution of this study is that providing deeper insight on the relationship between knowledge sharing activities of employees and innovation capability. The empirical findings have verified the correlation among latent variables in the proposal model and confirmed the key role of knowledge sharing in stimulating innovation capability of firms in the context of firms in developing market like Vietnam. Generally, the findings on relationships between these constructs have brought many specific and useful guides for firms to enhance innovation capability. The findings revealed that to pursuit innovation capability, firms should focus on fostering the willingness of employees toward knowledge sharing activities such as encouraging employees to discuss work-related matters, share their knowledge and experience with others, answer the questions of colleagues as well as they can, record as much as possible in writing a document or a report, offer colleagues the needed information and documents as their demands, and show the colleagues how to solve their problems or tell them where to look for assistance. Finally, although literature has paid attention to addressing the relationship between HRM practices and innovation outcomes, the insights and causal mechanisms of this link is not yet fully understood. This study has, therefore, contributed to addressing these issues based developing a proposal research model to examine the potential mediating mechanism of knowledge sharing between two specific models of HRM practices (high-involvement HRM and high commitment practices) and innovation capability. The findings of this study have verified the mediating effect of KS behaviors and revealed that both forms of HRM practices can be appropriate choices for firms in the developing nations to nurture innovation capability directly or indirectly through its effects on KS activities of employees. CONCLUSION Beside significant contributions, the paper still has some certain limitations. First, the paper used cross- sectional design, thus it might expose the cases that causal correlations might alter in the long-run. Therefore, longitudinal studies are necessary to surpass this restriction and confirm the findings of this study. Second, the paper is only performed in the circumstances of medium and small firms, so the future work should examine the relationship among the latent factors in the broader circumstances to provide more meaning for firms. Finally, in the emerging and developing countries, frugal innovation is one of the reasonable and optimal strategies for firms to face with the context of resource-constraints and environmental turbulences (Le, 2021; Lei et al., 2021; Le et al., 2022). Originating from the undeniable influence of HRM practices and KS processes on innovation, this paper calls future studies for examining the potential mediating mechanisms of KS processes between specific forms of HRM practices and frugal innovation. Overall, the paper has shown the empirical evidence to spotlight that HRM practices and employees’ KS activities significantly contribute to foster innovation capability for firms in developing markets. The paper has significantly advanced the innovation management theory by offering an integrative model and effective pathway for pursuing innovation capability via practicing high-involvement and high-commitment HRM to stimulating KS of employees in organizations. https://journals.e-palli.com/home/index.php/ajebi Pa ge 42 https://journals.e-palli.com/home/index.php/ajebi Am. J. Econ. Bus. Innov. 2(2) 35-44, 2023 REFERENCES Aman, Q., Noreen, T., Khan, I., Ali, R., & Yasin, A. (2018). The Impact of Human Resource Management Practices on Innovative Ability of Employees Moderated by Organizational Culture. International Journal of Organizational Leadership, 7, 426-439. Baregheh, A., Rowley, J., & Sambrook, S. (2009). Towards a multidisciplinary definition of innovation. Management Decision, 47(8), 1323-1339. Camelo-Ordaz, C., Garcia-Cruz, J., Sousa-Ginel, E., & Valle-Cabrera, R. (2011). 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