Learning and technological capability building in emerging economies: the case of the biomass power equipment industry in Malaysia

There is increasing recognition that the transfer of foreign technology to developing countries should be considered in light of broader processes of learning, technological capability, formation and industrial development. Previous studies that have looked at this in the context of cleantech industries in emerging economies tend to overlook firm-level specifics. This paper contributes to filling this gap by utilising in-depth qualitative firm-level data to analyse the extent to which the use of different learning mechanisms can explain differences in the accumulation of technological capabilities. This is explored via an examination of eight firms in the biomass power equipment industry in Malaysia during the period 1970-2011. The paper finds that firms relying on a combination of learning from foreign technology partners and internal learning by planned experimentation make most progress in terms of technological capability. Nevertheless, local spill-over effects were found to be important for some firms who learned principally from imitation of local competitors, although significantly, firms learning from local spillovers failed to advance beyond extra basic operating technological capabilities. Those firms who proactively pursued learning from foreign partners, on the other hand, advanced further, reaching basic innovative levels of technological capabilities. These findings are relevant for a wider range of industrial sectors in emerging economies

Investigating the impact of networking capability on firm innovation performance:using the resource-action-performance framework

The author's final peer reviewed version can be found by following the URI link. The Publisher's final version can be found by following the DOI link.Purpose The experience of successful firms has proven that one of the most important ways to promote co-learning and create successful networked innovations is the proper application of inter-organizational knowledge mechanisms. This study aims to use a resource-action-performance framework to open the black box on the relationship between networking capability and innovation performance. The research population embraces companies in the Iranian automotive industry. Design/methodology/approach Due to the latent nature of the variables studied, the required data are collected through a web-based cross-sectional survey. First, the content validity of the measurement tool is evaluated by experts. Then, a pre-test is conducted to assess the reliability of the measurement tool. All data are gathered by the Iranian Vehicle Manufacturers Association (IVMA) and Iranian Auto Parts Manufacturers Association (IAPMA) samples. The power analysis method and G*Power software are used to determine the sample size. Moreover, SmartPLS 3 and IBM SPSS 25 software are used for data analysis of the conceptual model and relating hypotheses. Findings The results of this study indicated that the relationships between networking capability, inter-organizational knowledge mechanisms and inter-organizational learning result in a self-reinforcing loop, with a marked impact on firm innovation performance. Originality/value Since there is little understanding of the interdependencies of networking capability, inter-organizational knowledge mechanisms, co-learning and their effect on firm innovation performance, most previous research studies have focused on only one or two of the above-mentioned variables. Thus, their cumulative effect has not examined yet. Looking at inter-organizational relationships from a network perspective and knowledge-based view (KBV), and to consider the simultaneous effect of knowledge mechanisms and learning as intermediary actions alongside, to consider the performance effect of the capability-building process, are the main advantages of this research

Laggard Clusters as Slow Learners, Emerging Clusters as Locus of Knowledge Cohesion (and Exclusion): A Comparative Study in the Wine Industry

This paper adopts sociometric analysis to explore the process of knowledge acquisition and diffusion in clusters of firms. By comparing the knowledge systems of two clusters selected for being at different stages of their development path, this study shows that the knowledge system of the laggard clusterbis weak, highly disconnected and vulnerable, while in the case of the emerging, dynamic cluster, the knowledge system is characterized by a more connected yet uneven knowledge acquisition and distribution process. These differences are then interpreted considering the heterogeneity of firm knowledge bases across and within clusters and the impact of this latter variable on the degree of intra- and extra-cluster connectivity is explored.Clusters, Firm Knowledge Base, Knowledge Systems, Social Network Analysis

Embodied Knowledge Transfer Comparing inter-firm labor mobility in the music industry and manufacturing industries

This paper adds new knowledge to the phenomenon of transferring embodied knowledge through labor mobility by means of a comparative study of the entertainment and manufacturing industries. Explorative in nature, the paper takes advantage of unique data on the Danish labor market (i.e. IDA) to investigate labor mobility patterns for the two selected industries and to detect internal differences within industry segments and regarding creative intensive and invention activities in particular. We use the music industry as a proxy for the entertainment industries.Embodied knowledge transfers, labor market dynamics, inter-firm mobility, creative intensive and invention activities, entertainment industries, manufacturing industries

When Micro Shapes the Meso: Learning Networks in a Chilean Wine Cluster

Most analyses of the relationship between spatial clustering and the technological learning of firms have emphasised the influence of the former on the latter, and have focused on intra-cluster learning as the driver of innovative performance. This paper reverses those perspectives. It examines the influence of individual firms' absorptive capacities on both the functioning of the intra-cluster knowledge system and its interconnection with extra-cluster knowledge. It applies social network analysis to identify different cognitive roles played by cluster firms and the overall structure of the knowledge system of a wine cluster in Chile. The results show that knowledge is not diffused evenly 'in the air', but flows within a core group of firms characterised by advanced absorptive capacities. Firms' different cognitive roles include some - as in the case of technological gatekeepers - that contribute actively to the acquisition, creation and diffusion of knowledge. Others remain cognitively isolated from the cluster, though in some cases strongly linked to extra-cluster knowledge. Possible implications for policy are noted.clusters, absorptive capacity, knowledge communities, technological gatekeepers

Problems and Solutions in Knowledge Transfer

A central feature of innovation systems is that innovation arises from interaction between organizational units. This requires 'cognitive distance' that is sufficiently large to yield novelty of combinations, but not too large for mutual understanding. Two problems and solutions in the transfer of knowledge, especially to small firms, are identified and discussed. There is a problem not only of expressing tacit knowledge, but also of absorbing new knowledge when it needs to replace existing tacit knowledge. Next to issues of learning or competence development there are also issues of governance, in the management of relational risk of dependence and spillover. The analysis yields a number of tasks and functions for regional systems of innovation.knowledge transfer;regional innovation systems;small business;technology policy

Internet of things security implementation using blockchain for wireless technology

Blockchain is a new security system which group many data into a block or so called classifying the data into a block. The block can have many types and each of them content data and security code. By using a decentralize mechanism, one security code protect all the data. That could happen at the server. In this research, a network of wireless sensor technology is proposed. The transmission of sensor data is via the Internet of things (Internet of Thing) technology. As many data transmitted, they have to classified and group them into a block. All the blocks are then send to the central processing unit, like a microcontroller. The block of data is then processed, identified and encrypted before send over the internet network. At the receiver, a GUI or Apps is developed to open and view the data. The Apps or GUI have an encrypted data or security code. User must key in the password before they can view the data. The password used by the end user at the Apps or GUI must be equivalent to the one encrypted at the sensor nodes. This is to satisfy the decentralized concept used in the Blockchain. To demonstrate the Blockchain technology applied to the wireless sensor network, a MATLAB Simulink function is used. The expected results should show a number of block of data in cryptography manner and chain together. The two set of data. Both have the data encrypted using hash. The black dots indicate the data has been encrypted whereas the white dot indicate indicates the data is not encrypted. The half white and half black indicates the data is in progress of encrypted. All this data should arrange in cryptography order and chain together in a vertical line. A protocol called block and chain group the data into the block and then chain then. The data appears in the blocks and send over the network. As seen in the simulation results, the yellow color represents the user data. This data has a default amplitude as 1 or 5. The data is chained and blocked to produce the Blockchain waveform Keywords: Blockchain, Internet of things, Wireless Sensor Network and MATLAB Simulin

Experience Spillovers across Corporate Development Activities

This study develops a theoretical explanation for the existence of positive, as well as negative, experience spillovers across corporate development activities. We suggest that the similarity in two activities influences both the sign and magnitude of experience spillovers. The argument is used to understand how alliance experience influences the performance of acquisitions in the US commercial banking industry. The empirical evidence indicates that the spillover effect of alliance experience on acquisition performance is a function of the decisions made in the post-acquisition phase regarding the level of integration and the replacement of top management. We also find a U-shaped relationship between alliance experience and acquisition performance, suggesting the presence of negative spillovers across corporate development activities at low experience levels.