Social media technologies: a waste of time or a good way to learn and improve technological competences?

Purpose – The purpose of this study is to deepen understanding of the effects of using social media technologies to acquire technological knowledge and organizational learning competences, of technological knowledge competences on organizational learning and finally of organizational learning on organizational performance. Design/methodology/approach – The study was performed by analyzing data from a sample of 197 technology firms located in Spain. The hypotheses were tested using a structural equations model with the program LISREL 8.80. Findings – This study’s conceptual framework is grounded in complexity theory – along with dynamic capabilities theory, which complements the resource-based view. The study contributes to the literature by proposing a model that reflects empirically how business ecosystems that use social media technologies enable the development of interorganizational and social collaboration networks that encourage learning and development of technological knowledge competences. Research limitations/implications – It would be interesting for future studies to consider other elements to conceptualize and measure social media technologies, including (among others) significance of the various tools used and strategic integration. The model might also analyze other sectors and another combination of variables. Practical implications – The results of this study have several managerial implications: developing social media technologies and interorganizational social collaboration networks not only enables the organizational learning process but also encourages technological knowledge competences. Through innovation processes, use of social media technologies also contributes to strengthening companies’ strategic positioning, which ultimately helps to improve firms’ organizational performance. Social implications – Since social media technologies drive information systems in contemporary society (because they enable interaction with numerous agents), the authors highlight the use of complexity theory to develop a conceptual framework. Originality/value – The study also deepens understanding of the connections by which new experiential learning contributes to the generation of coevolutionary adaptive business ecosystems and digital strategies that enable development of interorganizational and social collaborative networks through technological knowledge competences. Only after examining the impact of socialmedia technologies on organizational performance in prior literature, did the authors underscore that both quantity and frequency of social media technology use are positively related to improvement in knowledge processes that lead to employees’ creation and acquisition of new metaknowledge.Excellence Unit "Advanced Research in Economics and Business" of the University of Granada (Spain)Andalusian Regional Government B-SEJ-042-UGR18 A-SEJ-192-UGR20 P20_0056

The Importance of Knowledge Transfer in Decision Making

This paper discusses the issues related to capturing and transferring knowledge in management consulting organization and proposes a framework to implement a knowledge transferring environment for intelligent working system. The proposed framework make contribution in the area of capturing tacit aspect of consultant’s knowledge, and how they interpret information and produce unique work. At the same time it explores how the transfer of explicit knowledge plays a major role to understand the interpretation of individual expert. Within the organization various types of knowledge resides which play a major role in organizational learning and also how organization defines itself in the arena of business. The consultants’ knowledge both explicit and tacit, is an intellectual asset to both the organization and the consultants themselves, and thus, makes the technology an important tool to use to find different ways to share this knowledge without jeopardizing individuals’ right to their knowledge that organization or other consultants’ access. Paper reviews literature that discussed researchers’ work on identifying types of knowledge, and various techniques that capture knowledge to resolve the loss of intellectual capital.. An analytical approach is used to analyze the studies and to classify the hidden dimensions of knowledge transfer. It offers a conceptual framework based upon Nonaka’s patterns for creating knowledge and identifies the pattern of knowledge creation and transfer. It applies interpretive organizational learning that is dependent upon the tacit aspect of the consultant knowledge and evaluates levels of professional intellects as operational measurements in knowledge producing organizations by using different techniques and technologies. In the end it postulates a strategic operational model to transfer knowledge especially the tacit knowledge to create a continuous organizational learning environment. It uses an example to understand the implementation of the operational model and to predict a productive resultant value

The Use of Information Systems in Collocated and Distributed Teams: A Test of the 24-Hour Knowledge Factory

Recent academic and policy studies focus on offshoring as a cost-of-labor driven activity that has a direct impact on employment opportunities in the countries involved. This paper broadens this perspective by introducing and evaluating the 24-hour knowledge factory as a model of information systems offshoring that leverages other strategic factors beyond cost savings. A true 24-hour knowledge factory ensures that progress is being made on information systems related tasks at all times of day by utilizing talented information systems professionals around the globe. Many organizations currently implement other variants of offshoring that appear similar but are fundamentally distinct. The typical model is a service provider framework in which an offshore site provides service to the central site, often with two centers and a distinction between a primary center and secondary center. Entire tasks are often outsourced to the lower-cost overseas site and sent back when completed. In contrast, the 24-hour knowledge factory involves continuous and collaborative round-the-clock knowledge production achieved by sequentially and progressively distributing the knowledge creation task around the globe, completing one cycle every 24 hours. Thus, the 24-hour knowledge factory creates a virtual distributed team, in contrast to a team that is collocated in one site, either onshore or offshore. By organizing knowledge tasks in this way, the 24-hour knowledge factory has the potential to work faster, to provide cheaper solutions, and to achieve better overall performance. Previous studies have examined individual teams over time and explored various benefits of distributing work to distant teams, but have not directly compared the effect of collocation versus geographic distribution on the use of information systems and the overall performance over time of two real-world teams working on a similar task in controlled conditions. This paper highlights the concept of the 24-hour knowledge factory and tests the model in a controlled field experiment that directly compares the use of information systems and subsequent performance in collocated and globally distributed software development teams. The central finding is that while collocation versus geographic distribution changes the way teams use information systems and interact at key points during a project, each type of team has the potential to use information systems to leverage its inherent advantages, to overcome disadvantages, and ultimately, to perform equally well. In other words, one organizational structure is not inherently superior nor must structure pre-determine performance. Geographic distance introduces new challenges but these can be overcome – and even leveraged for strategic advantage. In sum, our findings suggest that firms can apply the 24-hour knowledge factory model to transition from a service provider framework in which offshoring is a short-term and unilateral cost-saving tactic to a strategic partnership between centers in which offshoring becomes a core component of a global corporate strategy

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

El capital social como enfoque teórico en Dirección Estratégica

[EN] The objective of this research paper is to investigate, from a theoretical point of view, the strategic relevance of social capital. In recent years, academic literature in this field has witnessed remarkable growth, recognizing social capital as a key element for companies, due to its contribution to the creation of competitive advantages. However, it might be said that its development is still emerging, given the number of discrepancies among researchers regarding its definition, measurement, and its positive or negative impact on other variables. For this reason, a set of empirical studies that show the social capital effect on diverse types of organizational results have been reviewed, taking as a reference the definition and dimensions proposed by Nahapiet and Ghoshal (1998). Additionally, different theoretical links between social capital and four related Strategic Management approaches are presented, such as the Intellectual Capital-Based View, the Knowledge-Based View, the Resource-Based View and the Dynamic Resource-Based View. A main conclusion drawn from this review is that social capital, being a knowledge-based resource, enables access to both internal and external resources and thus a firm’s competitive advantage and, consequently, its value creation can be generated from the combination of both areas. Going in depth and clarifying this strategic linkage are thus a challenge to address in future studies.[ES] El principal objetivo de este trabajo es mostrar la relevancia estratégica del capital social organizacional desde un punto de vista teórico. En los últimos años, la literatura académica relacionada con este concepto ha experimentado un notable crecimiento, reconociendo que el capital social es un elemento fundamental para que las empresas generen ventajas competitivas. Sin embargo, se podría afirmar que su desarrollo es todavía incipiente al existir multitud de discrepaciancias entre los investigadores acerca de su conceptuación, la medición de sus dimensiones o los efectos positivos o negativos que podría tener sobre otras variables. Por este motivo, tomando como referencia la definición y dimensiones propuestas por Nahapiet y Ghoshal (1998), se ha realizado una revisión de las investigaciones que, de manera empírica, han estudiado las relaciones entre el capital social y distintos tipos de resultados organizacionales. Igualmente, se exponen diferentes nexos teóricos encontrados entre el capital social y los principales enfoques en Dirección Estratégica como son Enfoque Basado en el Capital Intelectual, el Enfoque Basado en el Conocimiento, el Enfoque Basado en los Recursos y el Enfoque Basado en las Capacidades dinámicas. Se concluye que el capital social, como recurso basado en el conocimiento, podría permitir el acceso a otros recursos internos o externos, y que la creación de valor y la generación de ventajas competitivas de una empresa puede provenir de la combinación de ambos ámbitos. Así, futuros estudios deben encaminarse hacia la profundización y clarificación de este nexo estratégico

Human Resource Practices, Knowledge-Creation Capability And Performance In High Technology Firms

This study examines the relationship among key HR practices (i.e., effective acquisition, employee-development, commitment-building, and networking practices), three dimensions of knowledge-creation capability (human capital, employee motivation, and information combination and exchange), and firm performance. Results from a sample of 78 high technology firms showed that the three dimensions of knowledge creation interact to positively affect sales growth. Further, the HR practices were found to affect sales growth through their affect on the dimensions of knowledge-creation capability

The Performance of University Spin-Offs: The Impact of Entrepreneurial Capabilities and Social Networks of Founding Teams during Start-Ups

Objectives: University spin-offs have increasingly received attention from academia, governments, and policymakers because they not only generate new innovations, productivity, and jobs the regional economies but also significantly improve university productivity and creativity (Hayter, 2013, Urbano and Guerrero, 2013). However, a lack of understanding of the contribution made by a founding team to a spin-off’s performance still remains within current studies. Employing a resource-based view theory and social networks approach, this paper addresses this gap by exploring university spin-offs in Spain. Prior work: University spin-off studies have concentrated on analysing entrepreneurial business models (Ndonzuau et al., 2002, Vohora et al., 2004b, Bower, 2003, Mets, 2010) to understand how the commercialization of research is undertaken to create a university spin-off. University spin-offs were also been analysed from the perspective of a university’s capabilities (Powers and McDougall, 2005), or capabilities and social networks of an established spin-off instead of the founding teams (Walter et al., 2006). Moreover, Vohora et al. (2004a) and Shane (2004) have suggested founders need to build capable teams, which must have entrepreneurial capabilities and qualitative social networks, to create effective university spin-offs. Both entrepreneurial capability and social network theory have been studied in prior entrepreneurship research, but have received less attention within the context of the university spin-offs (Gonzalez-Pernia et al., 2013). Approach: Utilising an internet-based survey, this paper explores entrepreneurial capabilities and social networks of founding teams in Spanish university spin-offs using quantitative data analysis. Basing upon resource-based view theory of Barney (1991) to study entrepreneurial capabilities of the founding teams, the research employ entrepreneurial technology, strategy, human capital, organizational viability, and commercial resources (see Vohora et al., 2004a). To study social networks of a founding team, we employ the conceptual model of Hoang and Antoncic (2003) that divides networks into three components: structure, governance, and content. Results and implications: The results from an examination of the sample of 181 Spanish university spin-offs empirically demonstrate that by exploiting social networks a founding team can improve its entrepreneurial capabilities, which in turn enhance its spin-off’s performance. By employing the work of Vohora et al. (2004a) and Shane (2004), this paper constructs a model in which entrepreneurial capabilities play a mediate role between social networks and spin-off’s performance. Thus, the paper has implications for universities in training and policy development to support spin-off’s activity. Value: This study addresses some fundamental questions to contribute to the theory-based understanding of university spin-offs: How do entrepreneurial capabilities of founding teams influence the performance of university spin-offs? How do social networks of founding teams contribute to the process of the university spin-offs

About the relations between Management Accounting Systems, Intellectual Capital and Performance

The present study is focused on the contribution of management accounting systems (MAS) in the development of intellectual capital (IC). Based on empirical evidence that supports the proposition that the value creation process is strongly associated to the level of IC, the study also examines the mediating effect of MAS on performance through their positive direct effect on IC. These relationships were consolidated into a model and empirically tested with data from 281 Portuguese firms using the Structural Equation Modeling (SEM). The findings show that six out of nine hypothesized relationships were supported by data with positive and significant causal links between MAS and the human and structural dimensions of IC. Results confirmed the conceptual validity of the circular model for the interactions among the three IC dimensions. Results also showed a positive and significant direct effect of structural capital on performance. Overall, the results confirmed the validity of the proposed model and contributed to the literature on the role of MAS in supporting the development of the I

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

Investigating knowledge management factors affecting Chinese ICT firms performance: An integrated KM framework

This is an Author's Accepted Manuscript of an article published in the Journal of Information Systems Management, 28(1), 19 - 29, 2011, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/10580530.2011.536107.This article sets out to investigate the critical factors of Knowledge Management (KM) which are considered to have an impact on the performance of Chinese information and communication technology (ICT) firms. This study confirms that the cultural environment of an enterprise is central to its success in the context of China. It shows that a collaborated, trusted, and learning environment within ICT firms will have a positive impact on their KM performance