Technology-intensive Companies Research Articles

Climate policy uncertainty and corporate investment efficiency: evidence from China

Despite the notable impact of climate policy uncertainty (CPU) on capital markets, there has been a lack of research on how it affects corporate investment efficiency (CIE). To address this gap, using data from 2,605 non-financial listed companies from the Shanghai and Shenzhen stock exchanges between 2009 and 2020, this study identifies the effect of the CPU on the CIE. The results show that the CPU adversely affects the CIE in all industries, and the impact is heterogeneous for firms with different resources, with a more significant influence on non-state-owned, technology-intensive companies, and firms where executives have lower levels of education; whereas firms with higher TFP may increase CIE under CPU. Furthermore, CPU has a considerable adverse influence on CIE by harming corporate governance, without necessarily diminishing free cash flow. The results indicate that firms’ resource endowment has a critical bearing on its CIE under an uncertain policy environment.

Potential of Passive Employees: How Servant Leadership Can Stimulate Innovation among Control-Oriented Employees

Depending on the organizational context, a control orientation on the part of an employee may either inhibit or promote their innovative job performance. To explore the question of which external conditions are conducive to control-oriented employees’ innovative potential, this study examined the effects of servant leadership on control-oriented employees’ motivation internalization processes and innovative job performance from a self-determination theory perspective. This study was conducted in Jiangsu, Shanghai, and Anhui provinces, which are relatively developed high-tech industries in China. An analysis of paired data from 298 employees and their leaders in nine technology-intensive companies revealed that servant leadership plays a positive moderating role between control orientation and employees’ autonomous motivation. Moreover, the interaction between control orientation and servant leadership can affect innovative job performance through the mediation of identified regulation, but not through that of integrated regulation. These findings are beneficial in promoting healthy development and innovative job performance of control-oriented employees, and are instructive for sustainable human resource management. Organizations should recognize the creative potential of control-oriented employees, promote servant leadership, leverage its management strengths, and focus on enhancing employees’ sense of identification with their jobs.

How COVID-19 Impacted The Tacit Knowledge and Social Interaction of Global NPD Project Teams

Overview: Multinational, technology-intensive companies routinely use globally distributed R&D teams, but COVID-19 represented an additional challenge. Lockdowns and home-office working severely limit human interaction and can impact the communication, social interaction, and knowledge sharing critical to successful R&D. Our study investigated how COVID-19 affected R&D processes at three global companies, using a project complexity perspective. Although R&D managers responsible for global projects are accustomed to the challenges of managing communications, the fact that teams were forced into home-office working made new product development more difficult in several ways. Ensuring that technical details are understood by all members of dispersed teams is crucial. Of particular note, and central to our findings, is the emphasis that R&D managers placed on maintaining a high level of social interaction in their teams, and special efforts were needed to keep interactions at a sufficient level to foster the generation and transfer of tacit knowledge. The findings have strong implications for the way that R&D project management is likely to be conducted in a post-COVID-19 world, and we demonstrate how the complexity framework we used can benefit managers in navigating this and other challenges.

Information Management, Organizational Intelligence, and Innovation Performance Triangle: Empirical Research on Turkish IT Firms

The study aims to investigate whether information management practices and organizational intelligence have an effect on a firm’s innovation performance within the framework of resource-based theory via empirical field studies in technology and information technology (IT) companies. The study is mainly conducted on technology and information technology companies operating in the Marmara Region of Turkey. The reason for choosing technology-intensive companies is that the scales used for the survey are organization types, which can accurately measure the institution’s knowledge, organizational intelligence, and innovation performance. The survey collection process includes the data of 495 managers, collected between 2018 and 2019. In this study, in which the effect of the sensitivity between information management practices, the sub-dimensions of organizational intelligence on innovation performance, and financial and growth performance are examined within the framework of resource-based theory, (i) a significant relationship is determined between information management practices and both a firm’s innovation performance and its financial and growth performance; (ii) innovation performance is found to have a direct and positive effect on a firm’s growth and financial performance; (iii) while the presence of perceived knowledge, which is one of the sub-dimensions of organizational intelligence, has no strong impact on innovation performance, mental model development has a direct and positive effect on innovation performance. The fact that there are few studies in the literature, to the best of our knowledge, examining information management practices, organizational intelligence, innovation performance, and financial and growth performance together increases the relevance of this study. Therefore, it is believed that the study will contribute to the literature with theoretical and managerial implications.

Exploring human resource work design, learning mechanism and TQM: through the lens of activity theory and contextual learning theory

PurposeThis research examines the effects of the context on the relationship between work design, learning mechanism and total quality management (TQM). The exploratory study examines the differential effects in context on how human resources and their activities are strategically managed for achieving TQM. Two theoretical frameworks – activity theory and contextual learning theory – are concurrently used for analysis. Specifically, the manufacturing companies, the authors examine are (1) technology-intensive company which has bought technology from a global foreign establishment (MU1), (2) technology-intensive companies having their own technology (MU2) and (3) labor-intensive units (MU3) of varying organizational sizes.Design/methodology/approachThis case study-based research consists of 27 in-depth interviews with managers and employees of different hierarchies in each manufacturing unit. The authors interviewed them using semi-structured questions that were pre-validated by five senior HR experts from the manufacturing industry. Document analysis, multiple site visits and website content helped triangulation. The data are coded and analyzed using Dedoose software for qualitative research.FindingsActivity diagrams for each manufacturing unit provides task and interaction analysis. Within and cross-case analysis address complexity and challenges of contextual reality, influences on work design and learning mechanism. HRD executives must recognize that there may be well-differentiated learning behaviors that align with organizational strategy. The learning behaviors may not be well-differentiated and become very dynamic. This dynamism may be characterized by double loop and single-loop learning feeding into each other.Practical implicationsThis study provides substantial practical implications for HRD and other managers in the manufacturing sector.Originality/valueThe new theoretical framework adds to organizational behavior studies through multi-level and cross-contextual approach. It informs strategic combinations and interactions between internal and external context, and learning needs implicating work design and TQM.

Research on the Construction of Multi-dimensional Power Grid Enterprise Asset Health Evaluation Index System

Most power grid companies are asset-intensive and technology-intensive companies. Therefore, the quality and health of assets and equipment are crucial to the sustainability of the development of power grid companies and the safety of power grid development. To power grid companies through multiple dimensions Decompose the evaluation index of asset health, find the key factors affecting the asset health evaluation of power grid enterprises, and find a way to solve the problem for the subsequent improvement of the health of power grid enterprises’ assets. This paper describes the SMART criteria for asset health assessment, combining the principles of index selection and index grading, and clarifies the principles of constructing the evaluation index system. On this basis, from the three dimensions of physical, economic and social, and considering the internal and external power grid enterprises, a multi-dimensional asset health evaluation index system has been established.

Economic Doctrine Is in Flux: What are the Implications for Canada’s Regional and Multilateral Trade Engagement?

The current opportunities for Canada’s reengagement with the United States present themselves at a moment of profound changes in economic thinking in the United States and beyond. There are many factors behind the renewed interest in industrial policy, including the experience of the COVID-19 pandemic, the geopolitical competition with China, the return of shortages and inflationary pressures, the concerns about anti-competitive behaviour of platform firms, and the distributional dynamics of the data-driven economy. These have broad implications for trade policy and for the strategic approach for small, open economies like Canada. In an innovation-intensive world of superstar firms and geostrategic competition, the focus for Canada should be on innovation and firms. The measure of success: Canada’s count of unicorns would be rising steeply, as would be Canada’s R&D share of GDP, and private and public venture capital support for Canadian technology-intensive companies would be breaking records. Canada’s economic history is punctuated by the establishment of Crown Corporations to fill gaps. The maturation of the industrial era economy may have given the impression that this was history. Today, it’s not a question of necessarily resorting to Crown Corporations, but Canada should not hesitate to go that route if necessary.

VALUASI ASET TAK BERWUJUD PERUSAHAAN START UP TEKNOLOGI DENGAN MENGGUNAKAN METODE NAVARO LOPEZ UNTUK PENAWARAN SAHAM PERDANA

Indonesia has a company whose value has reached more than ten billion US dollars. One of the companies that achieved this valuation was Go Jek. In this rupiah is worth more than one hundred and fifty trillion rupiah. Judging from the fixed assets then Go Jek does not have a car fleet or a motorcycle fleet. While Astra International which is a manufacturer and distributor of car and has subsidiaries engaged in oil valued in total assets has three hundred and fifty trillion rupiah. This huge valuation causes if Go Jek chooses to offer the first major stock in Indonesia at ten percent of its equity then its value is about fifteen trillion rupiah. This is an amount that will be difficult to absorb by the Indonesian market. With such a prospect, Go Jek may never float on Bursa Indonesia. This means that Indonesian investors lose the opportunity to obtain returns from shareholding Go Jack is the work of children abroad. This study examines the valuation method developed by Navado Lopez to be used to assess intangible assets, especially in technology-intensive companies. The Navado Lopez method was chosen because of its relatively simple and straightforward use in generating a value. This study attempts to investigate whether the Navado Lopez method can be applied in the Indonesian context. The hope is that with the method of valuation of intangible assets that can be understood by investors, investors will not hesitate if there is a start-up company (Start Up) that wants to issue prime shares in the Indonesian Stock Exchange.

WITHDRAWN: Text classification using Naïve Bayes classifier

Abstract In all the previous applications where the data plays an important role such as universities, businesses, research institutions, technology-intensive companies, and government funding agencies, maintaining irregular data is a big challenge. Text classification using machine learning and deep learning models is used to organize documents or data in a predefined set of classes/groups. So once the data is trained using the deep learning algorithms, the trained model will be able to identify, predict and detect the data for categorizing it in classes/groups/topics. It is very useful in Web content management, Search engines email filtering, spam detection, intent detection, topic labeling, tagging, categorization of data and sentiment analysis, etc.

The role of innovation investment and executive incentive on financial sustainability in tech-capital-labor intensive energy company: Moderate effect

As an essential way to alleviate the principal–agent issue, the executive incentive not only guides the innovation activities but also affects the financial performance of enterprises. In conjunction, senior managers are the core personnel of enterprise operation and hold strategic decision-making power. Therefore, this paper aims to explore the bidirectional relationship between innovation investment and financial sustainability and the moderate effect of executive incentive in the energy industry. The results show that innovation investment has heterogeneity effects on business performance in different type energy companies on different periods. In other hands, salary incentive has a significant positive moderate impact on the relationship between innovation investment and financial sustainability, especially in technology-intensive companies. Equity incentive does not show significant moderate effect in the whole sample and sub-sample. This paper proposes a new research perspective on the relationship between innovation investment and financial sustainability, which has a practical significance to weigh innovation expenditure and corporate target performance and design an executive incentive mechanism.

Text Classification Using Machine Learning and Deep Learning Models

In all applications where data plays an important role such as universities, business, research institutions, technology intensive companies and government funding agencies, maintaining irregular data is a big challenge. For an entity (object, place, thing), most of the data is in irregular form. Till now data analytics or text mining examine the entity relationships in a dataset to obtain significant patterns that reflects the information that is there in the dataset. This information is used in making decisions. “Text analytics translates text into numbers and numbers” in order makes up the data and assists to detect patterns. If the data is more organized, the better is the analysis, and eventually the decisions would be better. Manual processing of every bit of data is difficult and also to classify the data. This causes intelligent text processing tools to emerge in the area of NLP, to analyze linguistic and lexical patterns. Before mining it is significant to revise and be familiar with the nature of data. With the expanding measure of information and requirement for precision or accuracy automation process is required for the text classification. Another attractive research opportunity is constructing complex “text data models using Deep learning systems” which have the capability to carry out intricate NLP tasks with semantic requirements. Data analytics forms the basis of text classification and it can act as the engine behind information exploration. These results could be used for emergent applications that support decision making processes. These decisions assist human beings to improve resources and give the majority of benefits. Future research includes improved methods for parameter optimization that reflects effective knowledge discovery.

Management priorities of technology-based growth ventures in two Finnish high-tech business contexts

There is a need for new knowledge about growth in technology-based growth ventures in order to strengthen business development within this context. This retrospective multiple-case study clarifies the context-specific viewpoints related to the early stages of technology-intensive companies in two cities in Finland. The research question is: What are the management priorities of technology-intensive growth ventures in Finnish high-tech contexts? Using the sequential incident technique and semi-structured interviews, the managers of ten companies were asked to describe their business growth. The study tests the applicability of a literature-based framework for the early stages of growth in technology companies and analyses context-specific viewpoints. By taking account of the context, the study provides new insights into the growth and management of technology-intensive companies as well as into the special characteristics of different high-tech contexts. Moreover, the results provide evidence of the applicability of the framework in the selected contexts.

Management priorities of technology-based growth ventures in two Finnish high-tech business contexts

There is a need for new knowledge about growth in technology-based growth ventures in order to strengthen business development within this context. This retrospective multiple-case study clarifies the context-specific viewpoints related to the early stages of technology-intensive companies in two cities in Finland. The research question is: What are the management priorities of technology-intensive growth ventures in Finnish high-tech contexts? Using the sequential incident technique and semi-structured interviews, the managers of ten companies were asked to describe their business growth. The study tests the applicability of a literature-based framework for the early stages of growth in technology companies and analyses context-specific viewpoints. By taking account of the context, the study provides new insights into the growth and management of technology-intensive companies as well as into the special characteristics of different high-tech contexts. Moreover, the results provide evidence of the applicability of the framework in the selected contexts.

STRATEGIC ACCORD AND TENSION FOR BUSINESS MODEL INNOVATION: EXAMINING DIFFERENT TACIT KNOWLEDGE TYPES AND OPEN ACTION STRATEGIES

Both academics and practitioners are underlining the relevance of business model innovation in unlocking lasting, competitive advantages. To understand how business model innovation is achieved in the team level and which contingency factors drive or inhibit the process, this study scrutinizes the strategic accord and tension of analogous and opposing action strategies, as potential contingency factors controlling and balancing the effects of external and internal tacit knowledge on business model innovation. Using a research sample of 162 team projects, our empirical study supported the research hypotheses regarding how tacit knowledge fuels business model innovation, highlighting differed moderating roles of three open action strategies (team autonomy, team creativity, and team diversity) on the relationship between two transferred knowledge types and business model innovation of technology-intensive companies. This study shed light on how team management strategies, namely manifestations of open action strategies, moderate the effectiveness of tacit knowledge on business model innovation.

How Does the Heterogeneity of Internal Control Weakness Affect R&D Investment?

ABSTRACT Internal control of nonfinancial reporting has received attention in the Committee of Sponsoring Organizations of the Treadway Commission’s new Internal Control-Integrated Framework. This paper explores the effect of internal control weakness (ICW) in financial reporting and nonfinancial reporting on R&D investment. Our results show that ICWs in financial and nonfinancial reporting inhibits R&D investment, and this effect comes mainly from ICWs in nonfinancial reporting. The impact of ICW in nonfinancial reporting on R&D investment is more serious at technology-intensive companies than labor- or capital-intensive companies. The influence of heterogeneous ICW on investment in corporate innovation has time lag effect and takes at least two paths of impact: weakening of executive compensation incentives and internal cash flow oversight. These results suggest that the ICW in nonfinancial reporting play a more important role in the allocation of resources for technological innovation.

A framework of practices supporting the reuse of technological knowledge

Technology-intensive companies invest considerable of resources in product development to bring competitive products to market. Since market demand is continuously changing, the capability to renew offerings quickly and at low cost is an important source of competitive advantage. Even if components and designs may need to be updated when releasing new products, their underlying technologies and designs can usually be reused to enable fast and cost-efficient development. To be proficient in practices that support reuse of technologies thus constitutes an important organizational capability, but identifying and assessing these practices has not been a straightforward task for technology developers and managers. This paper presents a literature review regarding technology reuse in four main dimensions; Strategy, Process, Culture, and Information Technology. The dimensions are further decomposed into a framework with twelve principles that supports this technology reuse capability, including technology platform strategy and reusability assessment. Besides providing a theoretical overview of practices supporting the reuse of technology, the framework can also be used in practice to facilitate the assessment of the current reuse capability of an organization. Industrial cases, illustrating real technology development issues, are used to highlight the principles of the framework. Further, a self-assessment scorecard is demonstrated with data from two companies that develop and manufacture high-tech products.

ArchiMate Customization and Architecture Repository Management Practices: for a Technology-Intensive Enterprise

Technology-intensive companies need to develop a variety of applications based on the needs of the organizations. Due to the increasing number of projects, a unified Enterprise Architecture specification is required. We propose a situation-specific Enterprise Architecture modeling method for CFETS Information Technology Co., Ltd. By customizing the ArchiMate architecture description language, developing the architectural design modeling tool and establishing the architecture repository management platform, this solution realizes the standardization and unified management of the architectural design model for the enterprise information systems. The evaluation results show that the solution is efficient and easy to use.

How to keep renewable energy enterprises to reach economic sustainable performance: from the views of intellectual capital\xa0and life\xa0cycle

BackgroundIntellectual capital can not only help companies to obtain sustainable competitive advantage, but also serve as a key factor in corporate performance improvement and value creation. For knowledge-intensive and technology-intensive renewable energy companies, the effective management of intellectual capital is particularly important. However, there is a huge gap between the book value of renewable energy companies and their market value. It will be difficult to establish the most appropriate development strategy for companies by evaluating the corporate performance only based on financial indicators. Therefore, studying the value creation effect of intellectual capital will not only make new energy companies pay more attention to the intellectual capital management, but also help renewable energy companies achieve sustainable corporate performance.MethodsBy choosing the listed renewable energy companies from 2010 to 2016, this paper conducts an empirical research based on the Ohlson model and use quantile regression to analyze the impacts of value-added intellectual coefficient (VAIC) on sustainable performance at different life cycle stages.ResultsThe results confirm that increasing the VAIC creates value for enterprises. It also examines the effect of life cycle on this impact, and the result shows that it does not change the significant positive correlation with the economic sustainable performance at different life cycle quantiles. This paper also concludes that value-added human capital coefficient (VAHU) and value-added capital assets coefficient (VACA) are the most important component of intellectual capitals to economic sustainable performance at the growth stage, maturation stage, and decline stage.ConclusionsThus, it is suggested that renewable energy enterprises should emphasize on corporate intellectual capital management activities and design intellectual capital management solutions specifically for a certain life cycle stage.

Workfulness: governing the disobedient brain

ABSTRACTThe Scandinavian telecommunication company Telenor recently introduced the notion of Workfulness by adapting digital detox to the workplace. Workfulness is a management program aimed at technology-intensive companies that rely strongly on digital media. The program encompasses strategies of disconnection for employees, including mobile and email-free work hours and technology-free meetings, in order to enhance focus and efficiency. This article investigates Workfulness as one prominent example of managerial approaches that are based on neuroscientific assumptions about human decision-making. Drawing on textual materials and interviews, the analysis shows that Workfulness manages digital distractions in the workplace by establishing a form of stimulus-control rather than appealing to rational self-control. Workfulness alludes to the necessity of making choices, but it considers unconscious behavior, which is explained with reference to preconscious workings of the brain. The human brain becomes a battleground between rational and impulsive decisions, and it is the disobedient brain that needs to be governed in order to become an efficient employee. We situate the Workfulness program as part of and at the same time extending the biopolitical economy by incorporating advances in neurosciences into modes of governance.

Pricing Decision Models for Remanufactured Short-Life Cycle Technology Products with Generation Consideration

Although the analysis of remanufactured durable products dominates the environmentally conscious manufacturing research, more and more researchers try to focus on modelling short-life cycle products remanufacturing decisions. High-technology products, such as smartphones and laptops are the cases in point. Smartphone companies are opening remanufacturing facilities in third world countries to attract middle-level customers. Remanufacturing of high technology short life products can have a positive impact on the profits as well as the environment.A common strategy for the technology-intensive companies is to update their products continuously to maintain market share as well as customers’ appetites for latest technologies. This creates a multiple-generational product line. When a new generation is released, the market value of the previous generation is reduced, and the price of the generation before last is decreased even more. Meanwhile, remanufactured products of each generation also come to market when they are available. This can result in complex cannibalization among various generational product lines as well as new and remanufactured products.In this study, we develop a model that addresses the issue of pricing the latest generation remanufactured products and old generation new products. The demands are time-dependent and price sensitive. The market is separated from that of the brand new product of latest generation. The system consists of a retailer and a manufacturer. Two scenarios are evaluated in the system. First, each party tries to optimize profit independently. Second, the joint profit is optimized. The results provide optimal pricing decisions in different selling periods.