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The purpose of this paper is the development of a patent-based supplier portfolio that can be used to evaluate and select suppliers on account of their technological competencies.

In addition to traditional approaches, the authors develop a supplier portfolio that characterizes suppliers according to the similarity between supplier's and OEM's technological competencies as well as their technological broadness. These variables are measured on the basis of patents, which constitute a valuable source of information in technology-driven industries. Contrary to existing binary measurement approaches, the authors’ portfolio uses semantic analyses to make use of the specific information provided in the patents' texts. The authors test this method in the field of gearings, which is a key driver for the automotive industry.

The authors identify six generic positions, characterizing specific risks for an OEM to become either technologically dependent or dependent on suppliers' production capacities. For each position the authors develop specific management strategies in face of the aforementioned risks. The approach helps OEMs navigate in the competitive landscape based on the most recent and publicly available information medium.

This work explicitly applies the construct of technological competencies to supplier evaluation and selection on the basis of portfolio approaches. Furthermore, the authors improve the use of patents for supplier evaluation in two respects: First, the authors analyze OEMs and upstream suppliers on an organizational level. Second, the authors utilize advanced semantic analysis to generate variables for the measurement of the criteria mentioned above.

This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency.

The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis.

The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017.

Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency.

The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.

The purpose of this paper is to consider whether the characteristics of a technology affect the type of learning mode used for acquiring abilities related to specific competencies. While technological competencies have a direct impact on firm performance for technology‐intensive start‐ups, few if any of these firms posses all the prerequisite competencies required for a given technology‐product‐market paradigm as the firm enters or remains over time in that market. Consequently, high tech entrepreneurial firms must learn, acquire and develop competencies initially and in response to the changing requirements of industry standard products.

The paper includes a study of all 35 high‐tech start‐ups in the semiconductor silicon industry using primary and secondary source data.

The characteristics of a technology affect which of ten different learning methods are chosen by a firm to acquire a competence. The study finds that risk, uncertainty, status, pervasiveness, observability, disruptiveness, and centrality are technological characteristics that influence the learning modes that are selected by a firm.

This is the first study to focus on the impact of technological characteristics on learning methods used. Practical and theoretical value in determining under what technological circumstances a learning method should be used to acquire and develop skills with a new technology.

Organization’s core competencies are acknowledged as most valuable assets and skills which contribute to enhance the ability of innovation, the competitive advantage and commercial success of the business. Although several researchers have studied the effects of core competencies on the success of an organization, no enough work has been carried out to investigate the effect of core competencies onfront-end decision-making. Apparel-specific studies in the area of core competencies relating to front-end decision-making are rarely found. Therefore, this paper aims to determine the impact of organizational core competencies on front-end decision-making in the apparel innovation.

A conceptual framework was developed focusing four groups of competencies; technological/ technical, customer, network/ partnership and financial competences and hypothesis were derived. Sixty participants in different companies across Sri Lanka were randomly selected based on their involvement in the front-end of the apparel innovation for questionnaire survey. The data were analyzed using the SPSS version 20 statistical software package. Spearman's rho correlation and Linear regression analysis were used to quantify the impact of the competencies on front-end decisions.

The factors of network competencies are found to be the most influentialon effective front-end decision-making in apparel innovation in Sri Lanka. These results strongly suggests strengthening companies’ ability to interact with partners who possess raw materials, machineries and technology know-how to facilitate efficient front-end decision-making. The next most influential are the factors of technological competencies. It highlights the importance of strengthening the companies’ own technical/ technological competencies to facilitate effective front- end decision-making in apparel innovation.

The findings of this research are of main interest to extend the current understanding on how different factors of organization’s core competencies influence on effective front-end decision-making in apparel innovation. Particularly, apparel domain practitioners will be motivated in implementing and nurturing these important/ and most influential competencies within their firms to facilitate front-end decision-making to achieve better results consistently.

The purpose of this paper is to show how social media technologies (SMT) make the firm proficient to act on business opportunities and reconfigure business resources by encouraging networks to routinize the firm’s knowledge and innovation competencies.

The paper analyzes data obtained from a sample of 201 technological firms located in Spain. Structural equation modeling with Lisrel is used to test the hypotheses.

This paper contributes to the literature by reflecting empirically in a structural model how SMT drive technological knowledge competencies to improve organizational performance directly and indirectly by leveraging processes of innovation capability in the firm.

The study has some limitations, among them transversal analysis of different constructs. The number of relationships analyzed is limited, as is the literature focuses on a digital vision from a social media point of view.

Some implications for managers emerge. SMT both enable an emergent participatory culture through ubiquitous digital devices and social networks and balance constant connectivity afforded by digital devices.

Drawing on complexity science, the authors develop a conceptual framework to explain how social media, as emergent IS phenomena, help firms to create business value, leveraging network effects and knowledge flows, and increasing innovative capability.

Agile manufacturing is largely dependent on the capabilities of its people to learn and evolve with change. However, while agile manufacturing uses e‐commerce enabled technology in a decentralized organizational setting, it remains unclear how these individual capabilities should be linked to other organizational resources to create an agile organization. Another important modern management research perspective is the internal resource‐based perspective, resulting in a phenomenon called competence‐based competition with renewed attention for competence management. Competence management comprises the management, building, leveraging and deployment of strategic and operational competencies, the causal relationships and linkages between them, and the way competencies are embedded in organizational and individual resources. In this paper, we explore the relation between agile management and time‐based competence management, and study its adoption in small batch discrete parts manufacturing environments with the help of a coarse fact‐finding survey research.

The purpose of this study is to explain the interrelationships between the elements of strategic thinking, technological change and strategic risks. The main objective of this research is to identify the hierarchy for the elements of thinking, technological change and strategic risk and also to identify the driving powers of these elements.

The methodology used in this study is modified total interpretive structural modelling and MICMAC analysis which gives the interrelationships and also the driving powers of the elements by analysing the relationships between the elements from the existing literature. This method helps us in answering/understanding the “what”, “how” and “why” of the research. Modified total Interpretive structural modeling is considered in this study, which helps in doing both the paired comparisons and transitivity checks simultaneously. A digraph is constructed at the end of the analysis, which shows the links between the elements, and a driver dependence matrix is constructed, which shows the driving powers.

This study gives an understanding of the role of the elements, the relationships between them and the hierarchy of addressing these elements, and also the driving and dependence power. Findings of this research give us an understanding of how strategic thinking/technological change/strategic drives the performance of the firm.

This study is conducted with the help of existing literature; this can be further extended by considering the expert opinion.

The model explains the direct and transitive links of the elements and the strength of the relation between them, which helps the researchers and the practitioners to understand the driving power and importance of these constructs. It also helps us to understand the role of these elements and, if implemented in an organisation, which elements need to be prioritised for enhancing the performance of the firm.

Research done in the past has individually analysed the elements effecting strategic thinking; this study identifies the relationships between the elements of all three constructs and helps in understanding the levels of hierarchy.

The purpose of this paper is to determine the priorities of formation of competencies during training of digital personnel for industry 4.0.

The author performs two experiments for determining the scenario according to which industry 4.0 develops and will develop: the first experiment is aimed at determining the influence of the number of robots at unemployment level in 2019 and 2022 with the help of regression and correlation analysis (regression curves are built). The second experiment is connected to evaluation of the ratio of the number of robots to the number of population in 2019 and 2022. The research objects are countries with the highest number of robots in the world – i.e. with the highest level of development of industry 4.0; the information and empirical basis is materials of the International Federation of Robotics and the International Monetary Fund for 2019 and their forecasts for 2022.

The results of the performed experiments showed that in 2019 and 2022 the level of robotization of socio-economic systems of the countries of the world will be very low, and robotization will not cause growth of unemployment. Based on this, it is concluded that industry 4.0 will be developing according to the scenario of moderate automatization and robotization with preservation of domination of human labor in most business processes and spheres of economy. Communications with people will constitute the basis of the activities of digital personnel, and social competencies (with obvious significance of technical competencies) will be of top priority for them.

It is substantiated that technical competencies, with their large importance, will move to the background, while the key task will be society’s adaptation to the new technological mode and making social competencies the highest priority. The social and technical competencies of digital personnel in view of the performed tasks for industry 4.0 are determined.

The present study conceptualizes and examines the interplay of transformational leadership, ambidexterity and wireless information technology (IT) competency for enhancing innovative capability.

Drawing primarily on the knowledge-based and dynamic capabilities view theory, the present study explored supply chains of a large global apparel company and their effect on innovative capability through a mixed methods approach.

The results show that transformational leaders strongly influence the development of ambidexterity and enhance radical innovative capability through wireless IT competency.

The results of this study suggest that supply chain integration through transformational leadership and wireless IT competency can promote simultaneous exploration and exploitation to enhance innovation.

The growth of cloud and/or virtual supply chains facilitated by digital wireless communications and Internet technology is advancing logistics and supply chain innovations. With increasing global competition, digitalized supply chains and ever-growing environmental uncertainty, leadership traits, especially transformational leadership and ambidextrous leaders, can be major contributing factors for successful development of wireless IT competency to support innovative capability.

Wireless IT competency facilitates knowledge integration particularly for combining prior internal knowledge of exploitative innovation with new external knowledge to develop explorative innovation.

The purpose of this paper is to evaluate the effects of infrastructure and strategy of knowledge management on acquisition of core competencies through knowledge management process in the Iranian automotive industry.

For collecting primary data a questionnaire was distributed among 1,100 experts in ten companies of the Iranian automotive industry. Then, structural equation modeling was used to measure the relationship among elements of knowledge management and core competencies.

Findings indicate that knowledge management strategy is directly related to core competencies and there is no significant relationship between knowledge management infrastructure and core competencies. Nevertheless, knowledge management process as a mediator variable affects the relationship between strategy and infrastructure of knowledge management and core competencies indirectly.

The paper is limited to the Iranian automotive industry. Hence, future studies of the relationship among knowledge management elements and core competencies should be conducted in different countries and industries.

Findings of this research will increase the practical information about a relatively unexplored relationship among strategy and capabilities of knowledge management and core competencies. These findings are valuable for both researchers and managers.