Sara Adugna Debele’s research while affiliated with Hawassa University and other places

Purpose The purpose of this study is to empirically investigate the mediating role of knowledge management (KM) in the linkage between organizational factors, namely, organizational culture (OGCUL) and leadership and management support (LMS) and innovation in medium- and large-scale manufacturing firms in Ethiopia. Design/methodology/approach A sample of 200 firms has been used to gather data using simple random sampling and to test the proposed hypotheses. Structural equation modeling and cross-sectional design were used to analyze the data using LISREL 8.80 SIMPLIS program software tool. Findings Organizational factors (i.e. OGCUL and LMS) are positively associated with KM and innovation. KM constructs, namely, knowledge sharing, knowledge conversion and knowledge storage, have a significant positive influence on innovation. Knowledge sharing mediates the relationship between organizational factors and innovation. Research limitations/implications This study has three potential limitations: first, this study is based on a cross-sectional research design. Future research should include longitudinal design to get in-depth insights into the causal inferences. Second, only a few Ethiopian medium- and large-scale manufacturing firms were included in the sample. As a suggestion for future research, other researchers can include small-scale enterprises using large sample sizes and should examine the effects of organizational factors, KM and innovation across different industries. Finally, this study has only focused on investigating the mediating role of knowledge sharing between organizational factors and innovation. Future research should test the mediating role of the KM process and its constituents (knowledge acquisition, knowledge conversion, knowledge sharing and knowledge storage) between organizational factors and specific aspects of innovation to gain a full understanding of the critical role of KM in organizational innovation. Practical implications The findings of this study would serve as a guide for policy-makers and managers of manufacturing firms in developing countries in the formulation of policies and long-term strategies. It may also provide a better understanding of the causal relationship between organizational factors, KM and innovation, which in turn has value to directors and managers in manufacturing firms in developing countries as a reference for building a good OGCUL, serving as practical guidance for effective leadership and providing organizational or management support. Specifically, the findings would have the following practical implications: first, firms need to have a combination of KM processes (such as acquisition, storage, sharing and conversion). In practice, developing countries such as Ethiopia have based their innovation strategy on knowledge and technology acquisition through encouraging foreign direct investment. It is not in doubt that Ethiopia has been benefiting from the strategy as a lot of foreign companies have opened their subsidiaries in the country. However, in the authors’ view, more emphasis on knowledge acquisition strategy would not take a firm a long time to sustain its innovative activity because it is likely available to firms operating in the same industry, as well as it may hurt a firm’s competitive advantage. In addition, by its nature, knowledge may not be retained for future use; it may expire soon. Second, the current highly impulsive and rapid change in the business environment changes the way firms have to operate and deliver products or services. Knowledge (both tacit and explicit) is a resource that can provide a competitive advantage if used well for the intended purpose. In real practice, firms often face challenges in determining where to get knowledge from and how to value or manage it. Besides, knowledge can be obtained from three sources: knowledge can exist in individuals’ minds (skills, experience, ideas and insight); knowledge can dwell in a group, which we can call collective knowledge (a team of scientists or researchers); and knowledge can be embodied in an organization's systems, tools, procedures, policies, etc. Knowledge cannot be a valuable resource unless it is obtained and used in designing or producing a product or service. To integrate knowledge with business strategies, there should be a platform or framework that helps to manage it properly. Firm managers, policy-makers and other concerned bodies would consider the three sources of knowledge to foster innovative activities and obtain a competitive advantage. In addition, the authors recommend more emphasis be placed on firm-specific factors (such as OGCUL, leadership, management support and KM) to enhance the innovative capacity of a firm. Finally, the most critical issue to be raised while designing an innovation strategy would be employees’ willingness and passion to collaborate with others to develop new ideas, share ideas or implement policies. As knowledge resides in individuals’ minds, the knowledge holder should have a passion to share it with those working with him or her. In practice, knowledge sharing depends extremely on the passion and voluntariness of the two parts: knowledge provider and receiver. Therefore, firm managers would design a platform on how to motivate individuals to share their skills, experience and ideas with others through providing incentive packages, punishment and commitment. In this regard, the authors believe that the results would help individuals who are in the position to manage or regulate the manufacturing sector in designing innovation policies, KM policies or technology management policies and business strategies. Originality/value This study provides new empirical insight into the relationships between organizational factors (such as OGCUL and LMS), KM and innovation in a large sample of firms. To date, the empirical research on these relationships has been mainly limited to descriptive case studies (Chen and Huang, 2009; Zack et al., 2009; Donate and Guadaumillas, 2011), and there is thus a lack of empirical evidence with large samples of firms. Furthermore, there is a scarcity of studies investigating the relationship between organizational factors, KM and innovation in developing countries, especially in Ethiopia. This paper intends to fill this gap and nurture future research studies in the area.

In order to investigate empirically the effects of technology management on firm innovation, this paper considers the antecedents and multidimensional views of technology management mechanisms on innovation performance in medium- and large-scale manufacturing firms in a developing country, namely Ethiopia. Using simple random sampling, a total of 200 firms were chosen for this study to obtain responses from respondents. Four hypotheses were proposed for testing. Structural equation modelling and cross-sectional design were used to analyze the data using the LISREL 8.80 SIMPLIS program software tool. This study finds technology transfer and technology acquisition have significant positive effects on process innovation, product innovation, and method innovation. Technology process has a significant positive effect on process and method innovation. Technology absorption has a significant positive effect on product innovation. The major implication of this study is that technology management, coupled with appropriate technology management policies and strategies, is an appropriate resource to be used in the organization to enhance firm performance, particularly innovation and creativity. The paper contributes to the literature in that, unlike previous studies that are based on one aspect of technology management practices, this study examined the effects of each different type of technology management dimension on firms’ innovation. Thus, this study helps to gain further insights into the effects of technology management practices on firm innovation.

Purpose This study aims to examine the impact of corporate governance mechanisms on financial and non-financial aspects of firm performance in medium and large-scale manufacturing firms in Ethiopia. Design/methodology/approach The cross-sectional survey and simple random sampling methods are adopted while the data collection is through a questionnaire that covers five corporate governance indicators consisting of the board independence, board effectiveness, shareholders role, internal audit effectiveness (IAE) and disclosure and transparency. The dimensions of firm performance were indicated by six firm performance indicators of customer and market (CM), internal process (IP), differentiation, efficiency, competitive position (CP) and financial (organizational) performance (OP). The covariance-based structural equation modeling (SEM) with the maximum likelihood parameter estimation technique was used to perform the data analysis. Findings A significant positive relationship has been found between the independence of the board of directors and firm performance (especially with respect to differentiation, OP, CP and IP). However, the board of directors’ effectiveness showed an unexpected result, significant negative effect on differentiation, OP, CP, CM and IP. The study also indicates a positive significant effect of disclosure and transparency on differentiation, CP and OP. However, the coefficient on the CM construct of firm performance is negative and significant. A significant negative linkage has also been revealed between IAE and two constructs of performance: differentiation and CP. One of the important findings of the study is that shareholders’ role has a significant positive impact on both board characteristics (board independence and board effectiveness) and firm performance (differentiation, efficiency, CP and OP). Research limitations/implications The study has two potential limitations. First, in comparison to prior studies, this study is based on a small sample size which limits the generalizability of the findings. Different scholars have suggested (Anderson and Gerbing, 1984, 1988; Iacobucci, 2010; Hair et al. , 2019) that SEM requires a large sample size to test the hypothetical model. Thus, future research can further investigate the link between corporate governance and firm performance by using a larger sample size to achieve more reliable results. Second, the current study used a quantitative approach only, but prior studies (e.g. Ahrens and Khalifa, 2013) suggest a qualitative approach to more investigate and reach a very conclusive idea on corporate governance. The approach is currently receiving growing popularity in the literature. Practical implications The findings of the study would have measurable implications for different stakeholders who are in the position of supporting or regulating manufacturing firms. First, the findings give a clue about how a firm can design a good corporate governance system. Second, managers of the firm can get a hint or tip from the result that might help as input for designing strategies. Finally, it might help policymakers to understand and think about the very crucial role of active participation of shareholders in curtailing/reducing agency cost and enhancing firm performance apart from (beyond) the conventional corporate governance mechanisms (board of directors, internal audit, disclosure and transparency). Originality/value This study seeks to extend and contribute to the current literature in several ways. First, in contrast to previous studies, this study used both financial and non-financial performance measures and thereby providing new empirical insights relating to the non-financial performance measures. Second, this study provides a new result that the role of shareholders has a direct significant positive impact on board characteristics (i.e. board independence and board effectiveness) and firm performance. Finally, this study has come with a new insight that disclosure and transparency is a major driver of firm performance.

The purpose of this study is to assess empirically how the technical efficiency scores for 43 sub-sectors and their determinants over the period 2010 to 2017 show significant variation across the sub-sectors. The study applied a two-step approach for measuring technical efficiency and its determinants. A data envelopment analysis output-orientation (i.e. both CCR & BCC models) is used to estimate technical efficiency scores for 43 sub-sectors over the period 2010 to 2017. Malmquist productivity index (MPI) output orientation is also applied to compute technical efficiency change, technological progress, and productivity change. The estimated technical efficiency score shows significant variation across the sub-sectors. Thus, we used a Tobit regression model to scrutinize what defines the variation in technical efficiency scores using three years of panel data which covers 2015 to 2017. Moreover, the 43 sub-sectors were further grouped into 14 major sub-sectors and classified as public and private to examine whether there is a technical efficiency score discrepancy between the same sub-sectors operating under different ownership. For measuring overall technical efficiency, we used two output variables (i.e., value-added and operating surplus) and two input variables (i.e., total fixed assets and a total number of employees). When reducing the sub-sectors to fourteen major groups, the operating surplus was not included, thus we used value-added and total sales as output variables and total fixed assets, the total number of employees, and cost of raw materials used in the production process as input variables. To shed light on the source of inefficiency, technical efficiency is decomposed into pure technical efficiency and scale efficiency. This study found that the sector had experienced a 37 percent technical efficiency in overall average when the CCR model was used. The study also claims that public owned subsectors are less likely to be efficient than private subsectors. The regression results show the capital expenditure ratio has a significant positive influence on technical efficiency. The Malmquist index result also shows, on average, the sector had registered a 10.5% technological progress and a 13% productivity growth over the period 2010–2017. The findings of the study would have implications for policymakers, government, and firm owners in that it offers an insight into the source of productivity growth in the sector.