Search results

This study examines the impact of network embeddedness (NE) on innovation performance in small- and medium-sized enterprises (SMEs), and analyses absorptive capacity as mediator and openness as moderator.

Data were collected from 209 employees of SMEs using a convenient sampling technique. Partial least squares structural equation modeling in SmartPLS was used to analyze the various constructs.

The results exhibit a positive and significant relationship in NE and absorptive capacity. Also, this study found a positive and significant relationship in absorptive capacity and innovation performance. Moreover, absorptive capacity has a positive and significant mediation role in the relationship between NE and innovation performance. Also, openness positively moderated the relationship of NE and absorptive capacity.

SMEs should try to implement the functions of NE, such as interaction with other firms in higher frequency, developing trust among all parties, clear alliance among the partners to enhance innovation performance. Similarly, SMEs should focus on absorptive capacity and openness to enrich innovation performance.

This study adds in the current literature of the chosen constructs and empirically contributes the effects in the manufacturing industry of Jiangsu Province, China.

In the competitive business world, companies strive to be innovative, and to do so, they try to implement innovative human resource practices. Therefore, the authors propose an association between innovative human resource practice, organizational commitment, innovation performance and transformational leadership.

This study gathered data from 1,037 small- and medium-sized enterprises and implied partial least square structural equation modeling PLS-SEM using Smart PLS was adopted to test the hypotheses.

The findings reveal positive direct relationships between innovative human resource practices, organizational commitment and innovation performance. Moreover, organizational commitment positively mediates and transformational leadership significantly and positively moderates the relationship. Companies should use innovative recruitment and selection, performance management, and innovative compensation to enhance organizational commitment and innovation performance. In addition, the optimized organizational commitment aids in strengthening the connection between innovative human resource practices and firms' innovation performance.

Managers should also develop a sense of affiliation and attachment to increase innovation performance. The study contributes empirically to the literature on innovative human resource practices and their effect on organizational commitment and innovation performance.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

The purpose of this study was to identify if network embeddedness and innovation performance relationship, which has been largely studied in multinational enterprises (MNEs) and large corporations, was also applicable in the context of small and medium-sized enterprises (SMEs). Secondly, the authors also sought to identify the moderating role of innovation openness in the relationship between network embeddedness and SMEs' innovation performance.

Empirical analysis was based on 388 SMEs in Ghana. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using the structural equation modeling in Amos (v.23).

Findings revealed that, in the context of SMEs, network embeddedness had significant positive effect on innovation performance. The authors further identified that SMEs with both high levels of network embeddedness and innovation openness had a much higher performance in their innovation, compared to SMEs that relied solely on network embeddedness.

The current study found innovation openness to further strengthen the relationship between network embeddedness and SMEs' innovation performance. The relationship between network embedded and SME's innovation could, however, be mediated by knowledge transfer mechanisms, so future studies should pay particular attention to the mediating mechanisms.

Management of SMEs is advised to develop conducive organizational structures, such as trust, openness to collaboration and so on, for effective innovative knowledge transfer and transformation.

Past research studies on network embeddedness and innovation performance have dominantly resided in MNE and large corporations. This current study extends the body of knowledge by extending the network embeddedness and innovation performance research studies to SME context.

SMEs could achieve their innovation goals, either through exploitation, exploratory, or ambidextrous learning strategies. This study presents ambidexterity as a more effective and efficient strategy that offers superior innovation advantage to SMEs. We also present the role of openness in this relationship.

Empirical analysis was based on 388 SMEs in Ghana. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using Ordinary Least Squares approach, run using SPSS (v. 20).

Findings indicate that although exploitative and exploratory learning strategies individually had a positive significant effect on SMEs' innovation performance, organizational learning ambidexterity was found to have a greater positive impact on innovation performance among SMEs. High levels of openness further boosted the effect of organizational learning ambidexterity on SMEs’ innovation performance.

This study was conducted without recourse to some specific factors that could influence organizational learning ambidexterity among SMEs. Future studies should thus pay particular attention to the determinants of organizational learning ambidexterity among SMEs.

Innovation performance is very critical for the sustainability of firms, and SMEs in particular. Management of SMEs must therefore seek to simultaneously adopt both learning strategies, as that gives firms greater advantage, compared to the adoption of only one strategy.

The study demonstrates that organizational learning ambidexterity had a superior effect on SMEs' innovation performance. High levels of openness further boosted the effect of organizational learning ambidexterity on SMEs' innovation performance.

The study explored the mediating role of potential and realized absorptive capacities in the relationship between entrepreneurial orientation and radical innovation performance among manufacturing small and medium-sized enterprises (SMEs).

Empirical analysis was based on 357 manufacturing SMEs in Ghana. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using ordinary least squares approach, run using SPSS (v. 20).

Findings revealed that potential and realized absorptive capacities significantly mediated the relationship between entrepreneurial orientation and radical innovation performance among manufacturing SMEs. Further, it was identified that ambidexterity in absorptive capacity also had a greater effect on radical innovation performance among manufacturing SMEs.

Since the data used were cross-sectional, the relationships measured represent only a snapshot of time. Longitudinal studies could therefore be adopted in the future to complement the cross-sectional conducted.

While managers of manufacturing SMEs seek to achieve higher radical innovation performance through entrepreneurial orientation, it should also be noted that both potential and realized absorptive capacities have a significant role to play in this relationship. Managers must therefore also seek to invest time to build both potential and realized absorptive capacities, as they define greater innovation success.

Some past studies have considered absorptive capacity as composite variable, therefore added both potential and realized absorptive capacities to form a single variable. Others also presented potential and realized absorptive capacities individually. This current study extends the body of knowledge by presenting an ambidexterity position between potential and realized absorptive capacities.

The purpose of this study is to investigate the interactive relationship between non-farm employment and mechanization service expenditure.

The study employs an innovative two-stage probit least squares (2SPLS) model to analyze the survey data collected from 1,148 rural households in China. This model not only simultaneously estimates the impact of non-farm employment on mechanization service expenditure and the impact of mechanization service expenditure on non-farm employment, but also addresses endogeneity issues associated with these two activities.

The empirical results show that non-farm employment and mechanization service expenditure are jointly determined. In particular, the study finds that non-farm employment significantly increases mechanization service expenditure, and vice versa. The results are confirmed by an estimation that captures a dichotomous decision of mechanization service usage. The interactive effects of non-farm employment on mechanization service expenditure are heterogeneous between male and female household heads and among households with different member sizes. Further analyses reveal that (1) mechanization service expenditure increases with increasing non-farm working time; (2) local non-farm employment, rather than provincial non-farm employment, has a larger impact on mechanization service expenditure; and (3) the number of household members employed in non-farm works does not affect mechanization service expenditure significantly.

Although mechanization service markets are rapidly growing in many developing and transition countries, little is known about how service purchasing interacts with farmers' decisions to work in the non-farm sector. This study makes the first attempt by investigating the interactive effects of non-farm employment on mechanization service expenditure in rural China. The findings provide significant evidence for policymakers in China and other countries in their efforts to generate non-farm work opportunities and promote agricultural mechanization, with the aim of boosting rural development and improving farm economic performance.

In today’s digital age, technology is advancing at an unprecedented pace, and businesses that fail to keep up risk falling behind their competitors. This requires not only investing in technological resources but also creating a culture that values and encourages women in technological learning and innovation in the tourism and hospitality sector. This study aims to investigate the consequences of organizational learning on firm innovation directly and indirectly with cultural and technological perspectives.

The study carries out a quantitative approach, and data is collected from 398 women entrepreneurs from Thailand’s tourism and hospitality sectors. The statistical software Smart-PLS was used to analyze the data.

The findings revealed that organizational learning (the learning orientation and learning process) significantly influence firm innovation and organizational culture. Organizational culture also significantly mediates learning orientation, learning process and firm innovation, while learning leadership was found to be insignificant in relationship with organizational culture and firm innovation. However, technological knowledge has a significant moderating influence between organizational culture and firm innovation.

This study’s focus on the role of learning practices among women-owned small medium enterprises is a valuable contribution to the literature on innovation and entrepreneurship. These provided dimensions that can be helpful for women entrepreneurs to enhance firm innovation. The study shed light on the importance of diverse kinds of learning practices that change the patterns of innovation. This study also provides directions to practitioners to develop and implement business innovation strategies from women’s perspectives.

This study aims to examine the real effects of financial misconduct on corporate innovation.

The authors use a sample of Chinese A-share listed firms from 2006 to 2017. This study uses several empirical strategies to deal with endogeneity concerns, including Heckman’s two-stage correction approach, propensity score matching and instrumental variables.

The authors’ findings consistently show that financial misconduct impedes corporate innovation. Furthermore, the authors’ analysis demonstrates that the negative impact of financial misconduct is more pronounced in nonstate enterprises. The authors also show that financial misconduct discourages innovation through information, short-termism and financing channels.

This paper is of particular interest to policymakers, as firm behavior is heavily regulated and altered by securities laws and regulations over time. The authors recommend firms to observe financial regulatory laws to promote capital market integrity and enhance shareholder value through innovation projects. The authors also recommend that regulators provide incentives that encourage corporate transparency and use new technologies to detect financial misconduct quickly.

Few studies in literature investigate the real consequences of financial misconduct on firm investments. Hence, this paper fills this gap by analyzing the implications of financial misconduct on corporate innovation. This study is one of the first to provide new insights into the adverse effects of financial misconduct on firm-level innovation, supported by empirical evidence.

This study aims to explore the effect of digitalization on the promotion of enterprise R&D cooperation, and it analyzes the microimpact mechanism and boundary conditions of enterprise digitalization on enterprise R&D cooperation.

Based on survey data sourced from the World Bank Enterprise Surveys of the business environment of Chinese enterprises in 2012, this study applies multiple regression methods to test theoretical hypotheses.

Enterprise digitalization positively affects the breadth and intensity of enterprise R&D cooperation. Employees’ digital literacy plays an intermediary role between enterprise digitalization and enterprise R&D cooperation. The subordinate attributes of enterprises weaken the positive relationship between enterprise digitalization and the breadth and intensity of enterprise R&D cooperation. The shareholding of state-owned enterprises reinforces the positive relationship between digitalization and the intensity of enterprise R&D cooperation. However, such shareholding shows no significant regulatory effect on digitalization and the breadth of enterprise R&D cooperation.

Focusing on the digital transformation of the enterprise, this study discusses its impact mechanism on enterprise R&D cooperation, including the impact on the intensity and breadth of R&D cooperation. The study further examines the regulatory effect of organizational inertia on enterprise digital and R&D cooperation from two aspects: resource rigidity and routine rigidity. It emphasizes the significance of the digital literacy of employees in enterprise digitalization and discusses the micromechanism of enterprise digitalization and enterprise R&D cooperation.