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This paper aims to identify the paths of digital transformation followed by companies facing disruption and offer recommendations for executives for choosing the appropriate path.
Abstract
Purpose
This paper aims to identify the paths of digital transformation followed by companies facing disruption and offer recommendations for executives for choosing the appropriate path.
Design/methodology/approach
This is a conceptual paper.
Findings
This paper identifies two paths of digital transformation. The offensive path is aggressive and involves the rapid acquisition of digital resources through portfolio investment and merger and acquisition tactics. The defensive path is relatively slow and relies on the organic growth of the digital capabilities of the incumbent companies over time.
Research limitations/implications
This paper identifies a number of potential factors affecting the choice of the transformation path taken by companies. Further studies can be conducted to investigate these contingent factors.
Practical implications
This study describes the strategic paths available in a digital transformation and identifies the conditions that might justify a particular approach.
Originality/value
This paper identifies two types of paths that are generally followed by companies aiming digital transformation – offensive and defensive. This aspect has not been studied in any other research work.
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Keywords
Juyeon Ham, Yunmo Koo and Jae-Nam Lee
To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open…
Abstract
Purpose
To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.
Design/methodology/approach
The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.
Findings
The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.
Originality/value
This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.
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Strategic transformations are likely necessary for all organizations at some point in their existence, but the role of external stakeholders in committing resources to support…
Abstract
Purpose
Strategic transformations are likely necessary for all organizations at some point in their existence, but the role of external stakeholders in committing resources to support transformations has been largely overlooked. This paper aims to begin to fill this gap by developing a theoretical model detailing which factors increase the likelihood that financial stakeholders will commit resources to strategic transformation.
Design/methodology/approach
Neo-institutional and stakeholder theories are applied to the strategic transformation phenomenon to develop six propositions regarding financial stakeholders’ resource commitment to strategic transformation.
Findings
Moral legitimacy, pragmatic legitimacy and unfamiliarity with the firm directly affect the likelihood that financial stakeholders will commit resources to strategic transformation. Cognitive legitimacy or familiarity amplifies the positive effect of pragmatic legitimacy on resource commitment, and pragmatic legitimacy lessens the negative effect of unfamiliarity with the firm on resource commitment.
Originality value
This paper lays out a clear conceptual model of the antecedents of financial stakeholders’ resource commitment to strategic transformation, aiding practitioners in securing critical stakeholder support and filling an important gap in strategic transformation/stakeholder literature.
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According to IBM research, companies seeking opportunities in an era of constant customer connectivity focus on two complementary activities: reshaping customer value propositions…
Abstract
Purpose
According to IBM research, companies seeking opportunities in an era of constant customer connectivity focus on two complementary activities: reshaping customer value propositions and transforming their operations using digital technologies for greater customer interaction and collaboration. This paper aims to address this issue.
Design/methodology/approach
The paper explains that businesses aiming to generate new customer value propositions or transform their operating models need to develop a new portfolio of capabilities for flexibility and responsiveness to fast‐changing customer requirements.
Findings
The paper finds that engaging with customers at every point where value is created is what differentiates a customer‐centered business from one that simply targets customers well. Customer interaction in these areas often leads to open collaboration that accelerates innovation using online communities.
Practical implications
Companies focused on fully reshaping the operating model optimize all elements of the value chain around points of customer engagement.
Originality/value
The article explains how companies with a cohesive plan for integrating the digital and physical components of operations can successfully transform their business models.
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Camila Favoretto, Glauco Henrique de Sousa Mendes, Moacir Godinho Filho, Maicon Gouvea de Oliveira and Gilberto Miller Devós Ganga
The challenges of digital transformation (DT) have gained attention from both academics and practitioners, as more manufacturing companies are seeking digital technology…
Abstract
Purpose
The challenges of digital transformation (DT) have gained attention from both academics and practitioners, as more manufacturing companies are seeking digital technology implementation. This study, therefore, aims to identify the challenges of DT in manufacturing companies and propose new research directions.
Design/methodology/approach
A systematic literature review considering 176 articles (published between 2003 and 2019) was used to build a conceptual framework of DT.
Findings
A systematized view of challenges regarding organizational commitment, value creation, value proposition, value delivery, value capture, information and technology infrastructure and data security were identified. Moreover, a conceptual framework was developed to summarize the challenges and how they are associated with the business model value architecture and with the DT phases. Research opportunities for future research were also identified, contributing to the advancement of the topic.
Originality/value
First, the study provides a categorization of the main challenges of DT in manufacturing companies. Second, it identifies research gaps and future research avenues; and finally, it proposes a conceptual framework that aims to support more rigorous studies and guide management decisions regarding an integrative understanding of DT.
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Ming Yang, Duoxiang Wang, Xiaofeng Chen, Xiaomiao Lei and Linxiang Cao
This study aims to analyse the scientific relationship between technological innovation and carbon emissions. Taking the Chinese electric power industry as the empirical research…
Abstract
Purpose
This study aims to analyse the scientific relationship between technological innovation and carbon emissions. Taking the Chinese electric power industry as the empirical research object, this study examined the effect of power technological innovation on carbon emissions and proposed policy recommendations for the development of technological innovation in China.
Design/methodology/approach
This study first calculated the energy consumption and carbon emission level of the Chinese electric power industry from 2005 to 2018. Secondly, this study built an evaluation index system for technological innovation of electric power with six indicators: average utilisation hours of power generation equipment; power consumption rate of power plant; line loss rate; standard coal consumption for power generation; standard coal consumption for power supply; and number of patent applications granted for generation, conversion or distribution of electric power in China. Finally, from a practical point of view, the relationship between technological innovation and carbon emissions of the Chinese electric power industry from 2005 to 2018 is evaluated and analysed.
Findings
Power technology innovation has been found to have a long-term and relatively large effect on carbon emissions, and carbon emissions have a short-term and insignificant impact on power technology innovation.
Research limitations/implications
This study puts forward relevant suggestions for developing technological innovation and technology transfer, which is essential to establishing a low-carbon or zero-carbon power system in China.
Practical implications
This study provides empirical evidence for clarifying the relationship between technological innovation and carbon emissions in the power industry and further develops research theories on technological innovation and carbon emissions.
Social implications
Relevant authorities will adopt measures to promote technological innovation and development in the power sector to reduce carbon emissions.
Originality/value
This study built an evaluation index system with six indicators for technological innovation of electric power. The evaluation method was used to measure the technological innovation level of the Chinese electric power industry. The causal link between technological innovation and carbon emissions in China was analysed.
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Juyeon Ham, Yunmo Koo and Jae Nam Lee
In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs…
Abstract
Purpose
In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.
Design/methodology/approach
From the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).
Findings
Four configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.
Originality/value
This study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.
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Ricardo Matheus, Stuti Saxena and Charalampos Alexopoulos
The purpose of the study is to understand the moderating impact of perceived technological innovativeness (PTI) in terms of gender differences as far as adoption and usage of Open…
Abstract
Purpose
The purpose of the study is to understand the moderating impact of perceived technological innovativeness (PTI) in terms of gender differences as far as adoption and usage of Open Government Data (OGD) is concerned.
Design/methodology/approach
Partial least squares-structural equation modelling (PLS-SEM) methodological approach is used wherein the adapted unified theory of acceptance and use of technology (UTAUT) model is being used for estimating the research model.
Findings
PTI has been attested to have moderating impact on the UTAUT-BI relationships in select cases (SI, SQ, IQ, TR-BI). Furthermore, gender differences were observed as far as far as the PTI's moderating role on UTAUT-BI relationships were concerned.
Originality/value
While there has been ample impetus upon the OGD adoption and usage propensities underscoring the role of different variables, the present study's contribution lies in terms of understanding the moderating role of PTI as far as individual-centric analysis is concerned.
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This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in…
Abstract
This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in the service industry is sparse. This research seeks to examine absorptive capacity and its four capabilities of acquisition, assimilation, transformation and exploitation and their impact on effective knowledge management. All of these capabilities are strategies that enable external knowledge to be recognized, imported and integrated into, and further developed within the organization effectively. The research tests the relationships between absorptive capacity and effective knowledge management through analysis of quantitative data (n = 549) drawn from managers and employees in 35 residential aged care organizations in Western Australia. Responses were analysed using Partial Least Square-based Structural Equation Modelling. Additional analysis was conducted to assess if the job role (of manager or employee) and three industry context variables of profit motive, size of business and length of time the organization has been in business, impacted on the hypothesized relationships.
Structural model analysis examines the relationships between variables as hypothesized in the research framework. Analysis found that absorptive capacity and the four capabilities correlated significantly with effective knowledge management, with absorptive capacity explaining 56% of the total variability for effective knowledge management. Findings from this research also show that absorptive capacity and the four capabilities provide a useful framework for examining knowledge management in the service industry. Additionally, there were no significant differences in the perceptions held between managers and employees, nor between respondents in for-profit and not-for-profit organizations. Furthermore, the size of the organization and length of time the organization has been in business did not impact on absorptive capacity, the four capabilities and effective knowledge management.
The research considers implications for business in light of these findings. The role of managers in providing leadership across the knowledge management process was confirmed, as well as the importance of guiding routines and knowledge sharing throughout the organization. Further, the results indicate that within the participating organizations there are discernible differences in the way that some organizations manage their knowledge, compared to others. To achieve effective knowledge management, managers need to provide a supportive workplace culture, facilitate strong employee relationships, encourage employees to seek out new knowledge, continually engage in two-way communication with employees and provide up-to-date policies and procedures that guide employees in doing their work. The implementation of knowledge management strategies has also been shown in this research to enhance the delivery and quality of residential aged care.
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