Strategic Management in Digital Transformation Era

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 53647

Special Issue Editors


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Guest Editor
School of Business and Management, Queen Mary University of London, London E1 4NS, UK
Interests: innovation management; digital transformations; dynamic capabilities; social innovation; strategy

Special Issue Information

Dear Colleagues,

Industries and societies are now facing the fourth industrial revolution, often called industry 4.0, and firms’ ability to create value from digital technologies is commonly cited as a source of competitive advantage (Chalmers et al., 2021; Krakowski et al., 2023). However, despite investments in digital technologies such as artificial intelligence, big data analytics, 3D printing, robotics, etc., many companies complain that these technologies are not adding to their profits. This indicates that acquisition of digital technologies does not guarantee successful digital transformation; it also requires the ability to manage the process of digital transformation. This argument is consistent with prominent theories of strategic management such as resource-based views, dynamic capabilities views, and resource orchestration theory. For successful digital transformation and to create value from digital technologies, firms need digital strategizing. Digital strategizing refers to a domain focused on the interplay between digital technologies and people at different levels of organizations in processes that form, transmit, implement, host, and support strategy. Scholarly attention is required to explore strategic management approaches for the success of digital transformation to achieve competitive advantage. Challenges such as resource management, stakeholder engagement, employee trust, change management, and routine disruption need specialized research. The purpose of this Special Issue is to extend the debate on the role of strategic management in the digital transformation era.

This Special Issue particularly looks forward to empirical and literature review articles on the following, among others:

  • How do digital transformations impact upon the antecedents of new venture formation and the role and skills of entrepreneurs in driving such start-up opportunities?
  • While the firms from all around world are racing to recruit digital talents, what are the necessary skills required to perform relevant roles? How can firms/start-ups build a team with the requisite skills to successfully pursue an opportunity?
  • How can start-ups leverage relevant technologies associated with industry 4.0 to capture value and rapidly expand their businesses in the market? What are the capabilities required to enable such scaling processes?
  • How can entrepreneurs or established multinational enterprises (MNEs) leverage digital technologies associated with industry 4.0 to accelerate international growth and enhance international performance?
  • As industry 4.0 represents profound changes in society, how do governments, incumbent firms, start-ups, and other relevant parties collaborate to tackle these challenges?
  • How do industry 4.0 technologies influence social, environmental, and economic upgrading?

Dr. Saqib Shamim
Dr. Usama Awan
Guest Editors

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Published Papers (19 papers)

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Research

23 pages, 2775 KiB  
Article
Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda
by Ion Popa, Simona Cătălina Ștefan, Andrei Josan, Corina-Elena Mircioiu and Nicoleta Căruceru
Systems 2025, 13(1), 47; https://doi.org/10.3390/systems13010047 - 12 Jan 2025
Viewed by 1161
Abstract
Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilience [...] Read more.
Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilience of the management system as a result of AI integration, resorting to a bibliometric type of research. A total of 107 papers from the period 2007–2024 exported from the Web of Science Core Collection database were analyzed, with support of Biblioshiny software. This topic is proving to be one of heightened global interest, being comprehensively addressed by world leaders in AI research and technologies such as the United States, China, Great Britain, France, India, and beyond. Collaborative relationships established between geographic regions are captured, noting the power and expansion of the theme on all continents of the globe. Likewise, its thematic and strategic evolution is characterized as a surprising one, managing to incorporate and relate concepts with a strong technical and IT character such as feature extraction, machine learning, reinforcement learning with concepts of a managerial nature as supporting customer-tailored interaction, employee skills development, company productivity, and innovation. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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27 pages, 854 KiB  
Article
Information Security Risk Framework for Digital Transformation Technologies
by Eduardo Stefani, Ivanir Costa, Marcos Antonio Gaspar, Roberto de Souza Goes, Rogerio Carlos Monteiro, Breno Ribeiro Petrili and Alexandre de Paula Pereira
Systems 2025, 13(1), 37; https://doi.org/10.3390/systems13010037 - 6 Jan 2025
Viewed by 1017
Abstract
The increasing impact of digital technologies on society is marked by rapid and disruptive changes, including more efficient and modern processes, and is pushing companies to adopt digital solutions. However, companies have limited options, and can rarely avoid being affected by the speed [...] Read more.
The increasing impact of digital technologies on society is marked by rapid and disruptive changes, including more efficient and modern processes, and is pushing companies to adopt digital solutions. However, companies have limited options, and can rarely avoid being affected by the speed and challenges introduced by digital technologies. Researchers have observed that, despite the advantages they bring, the cybersecurity risks associated with these technologies are not fully apparent. In this context, the present study aims to uncover the risks associated with using digital transformation technologies, which may lead to outcomes that fall short of initial expectations. As the research methodology, a systematic literature review was conducted involving a search for scientific articles in bibliographic databases in order to identify, organize, and classify these risks. This review offered visibility into the risks companies face when adopting digital technologies and provided a framework that highlights the most relevant risks. IT specialists validated these risks through a consistent questionnaire followed by application of the Cronbach’s alpha coefficient applied, aligning our systematic literature review with market realities regarding the risks that companies are exposed to when using digital technologies. As a contribution to both industry and academia, this work offers a framework that can support companies in their digital transformation journey by helping them to recognize and manage the cybersecurity risks associated with digital technologies. Future studies could expand on this framework by developing a model for risk prioritization and mitigation. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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23 pages, 663 KiB  
Article
Exploring Digital Transformation Journey Among Micro, Small-, and Medium-Sized Enterprises
by Marjeta Marolt, Gregor Lenart, Mirjana Kljajić Borštnar and Andreja Pucihar
Systems 2025, 13(1), 1; https://doi.org/10.3390/systems13010001 - 24 Dec 2024
Viewed by 1848
Abstract
This paper aims to explore the patterns in micro, small-, and medium-sized enterprises’ (MSMEs) digital transformation journey during recent years. Using an emergent concurrent mixed-methods approach, we combined insights from six in-depth interviews with MSME managers and owners with survey data from 66 [...] Read more.
This paper aims to explore the patterns in micro, small-, and medium-sized enterprises’ (MSMEs) digital transformation journey during recent years. Using an emergent concurrent mixed-methods approach, we combined insights from six in-depth interviews with MSME managers and owners with survey data from 66 MSMEs. The findings reveal major inhibitors and accelerators of MSMEs’ digital transformation and demonstrate how they cope with them by engaging in digitalisation actions. This study also provides insights into how inhibitors, accelerators, and digitalisation actions vary across MSME sizes. While an increased adoption of digital technology was observed among the participating MSMEs, this study identifies three distinct digital transformation paths: necessary, experimental, and committed. Each path is shaped by a unique combination of inhibitors and accelerators. From the practical perspective, this research provides insights for MSME managers and owners on how to tailor their digital transformation efforts to their unique inhibitors and accelerators. In addition, our insights can help policy makers to promote the digital transformation of MSMEs through appropriate measures and support mechanisms tailored to the specific needs of smaller enterprises. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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26 pages, 594 KiB  
Article
Mitigating Financial Distress by Engaging in Digital Transformation: The Moderating Role of Life Cycles
by Jianbo Zhang, Yaoyi Yu, Zhuoqiong Wei, Jie Shen, Zhiping Zhang and Zichun Sun
Systems 2024, 12(12), 513; https://doi.org/10.3390/systems12120513 - 21 Nov 2024
Viewed by 1021
Abstract
Financial distress is detrimental to both companies and the development of economic society. The emergence of digital transformation provides a potentially prominent pathway for companies to address financial distress. Drawing on the dynamic capability view, this study explored the effects of digital transformation [...] Read more.
Financial distress is detrimental to both companies and the development of economic society. The emergence of digital transformation provides a potentially prominent pathway for companies to address financial distress. Drawing on the dynamic capability view, this study explored the effects of digital transformation on firms’ financial distress and how this relationship may be contingent on the life cycle. Our hypotheses were empirically examined using a large panel dataset of Chinese-listed manufacturing firms and applied a hierarchical linear model with multiple high-dimensional fixed effects. The results indicate that digital transformation significantly alleviates financial distress. Moreover, the life cycle has a moderating effect on this relationship. Specifically, the mitigating effect of digital transformation on financial distress is stronger during the growth stage but weaker during the declining stage. Finally, the findings provide important theoretical contributions to the literature on digital transformation and corporate finance and offer managers valuable practical implications to mitigate financial distress. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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18 pages, 979 KiB  
Article
The Impact of Artificial Intelligence on ESG Performance of Manufacturing Firms: The Mediating Role of Ambidextrous Green Innovation
by Hao Jing and Shiyu Zhang
Systems 2024, 12(11), 499; https://doi.org/10.3390/systems12110499 - 18 Nov 2024
Viewed by 1760
Abstract
In the context of the worldwide quest for green and sustainable development, there is a growing importance in enhancing the environmental, social, and governance (ESG) performance of manufacturing companies. With the rise of digital transformation and pressing environmental challenges, artificial intelligence (AI) has [...] Read more.
In the context of the worldwide quest for green and sustainable development, there is a growing importance in enhancing the environmental, social, and governance (ESG) performance of manufacturing companies. With the rise of digital transformation and pressing environmental challenges, artificial intelligence (AI) has emerged as a crucial tool for manufacturing organizations to gain a competitive edge in sustainability. While the role of digital technologies in driving ESG improvements has been widely discussed, there is limited scholarly exploration of the specific impact of AI on the ESG performance of manufacturing firms, as well as the underlying mechanisms at play from an AI perspective. Addressing this research gap, this study constructs a theoretical model of AI affecting manufacturing firms’ ESG performance using a sample of Chinese-listed manufacturing firms from 2012–2022. Additionally, this study examines the role of mediating mechanisms of ambidextrous green innovation as well as differences in the intrinsic mechanisms triggered by the equilibrium of ambidextrous green innovation and firm size. The findings indicate that the application of AI technology effectively promotes improvements in the ESG performance of manufacturing firms, with ambidextrous green innovation playing a positive mediating role. Furthermore, manufacturing companies with a strong balance of ambidextrous green innovation and larger scale exhibit enhanced effects of AI on ESG performance. This study serves to supplement existing literature on ESG performance enhancement, elucidate the theoretical rationale behind the non-economic performance of AI-enabled firms, and extend the application of organizational dualism theory to new contexts. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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29 pages, 4783 KiB  
Article
How Does the Digitalization Strategy Affect Bank Efficiency in Industry 4.0? A Bibliometric Analysis
by Claudia Gherțescu, Alina Georgiana Manta, Roxana Maria Bădîrcea and Liviu Florin Manta
Systems 2024, 12(11), 492; https://doi.org/10.3390/systems12110492 - 15 Nov 2024
Cited by 1 | Viewed by 1430
Abstract
This study conducts a detailed bibliometric analysis of the concept of bank efficiency, investigating its evolution in the scientific literature between 2000 and 2024 in the context of the digital transformation specific to the Industry 4.0 era. Using recognized databases, such as Web [...] Read more.
This study conducts a detailed bibliometric analysis of the concept of bank efficiency, investigating its evolution in the scientific literature between 2000 and 2024 in the context of the digital transformation specific to the Industry 4.0 era. Using recognized databases, such as Web of Science and Scopus, the research explores the main trends and themes in the field, as well as the impact of emerging technologies on bank efficiency. Eight major thematic clusters are identified, including “risk”, “‘performance”, “efficiency”, “competition”, “corporate governance” and “banking”, highlighting key dimensions of recent research. The co-citation analysis highlighted central authors like Berger, Sufian, and Casu, along with distinct thematic and regional clusters, underscoring the diversity of research directions in banking efficiency. The co-citation analysis shows the influence of leading institutions and authors, including “University Putra Malaysia”, “World Bank”, and “NBER, United States”, which have contributed significantly to the development of the literature. The results indicate that bank efficiency research is dynamic, multifunctional, and ever-expanding, providing an important foundation for future studies that will explore the challenges and opportunities for banks in the era of digitalization and sustainable development. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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45 pages, 7278 KiB  
Article
Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions
by Khalied M. Albarrak and Shaymaa E. Sorour
Systems 2024, 12(11), 475; https://doi.org/10.3390/systems12110475 - 7 Nov 2024
Viewed by 1083
Abstract
In the digital era, social media has become a cornerstone for educational institutions, driving public engagement and enhancing institutional communication. This study utilizes AI-driven image processing and Web-enhanced Deep Learning (DL) techniques to investigate the effectiveness of King Faisal University’s (KFU’s) social media [...] Read more.
In the digital era, social media has become a cornerstone for educational institutions, driving public engagement and enhancing institutional communication. This study utilizes AI-driven image processing and Web-enhanced Deep Learning (DL) techniques to investigate the effectiveness of King Faisal University’s (KFU’s) social media strategy as a case study, particularly on Twitter. By categorizing images into five primary event management categories and subcategories, this research provides a robust framework for assessing the social media content generated by KFU’s administrative units. Seven advanced models were developed, including an innovative integration of Vision Transformers (ViTs) with Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, VGG16, and ResNet. The AI-driven ViT-CNN hybrid model achieved perfect classification accuracy (100%), while the “Development and Partnerships” category demonstrated notable accuracy (98.8%), underscoring the model’s unparalleled efficacy in strategic content classification. This study offers actionable insights for the optimization of AI-driven digital communication strategies and Web-enhanced data collection processes, aligning them with national development goals and Saudi Arabia’s Vision 2030, thereby showcasing the transformative power of DL in event-centric management and the broader higher education landscape. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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17 pages, 654 KiB  
Article
The Strategic Role of Digital Transformation: Leveraging Digital Leadership to Enhance Employee Performance and Organizational Commitment in the Digital Era
by Guanming Qiao, Yannan Li and Ahreum Hong
Systems 2024, 12(11), 457; https://doi.org/10.3390/systems12110457 - 30 Oct 2024
Viewed by 10856
Abstract
Given the rapid advancements in the digital transformation era, digital leadership has become essential for enhancing employee performance and organizational commitment. This study specifically examines the mediating role of digital transformation in the relationship between digital leadership, employee performance, and organizational commitment, drawing [...] Read more.
Given the rapid advancements in the digital transformation era, digital leadership has become essential for enhancing employee performance and organizational commitment. This study specifically examines the mediating role of digital transformation in the relationship between digital leadership, employee performance, and organizational commitment, drawing on data collected between June and August 2024 from 579 participants across diverse industries. The findings demonstrate that digital leadership significantly enhances employee outcomes by driving digital transformation, which serves as a crucial intermediary that amplifies the positive effects of leadership. This research underscores the importance of aligning leadership strategies with digital transformation initiatives, especially in the DT-driven business landscape, to promote sustainable growth and maintain a competitive edge. By highlighting the combined influence of leadership and digital transformation on employee performance and organizational commitment, this study provides valuable insights for organizations addressing the complexities of digital change. It also emphasizes the pivotal role of leadership in fostering innovation and organizational resilience in the digital transformation era. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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21 pages, 609 KiB  
Article
Green Innovation Driven by Digital Transformation: An Innovation Chain Perspective
by Chenguang Dong, Yang Shen and Guobin Geng
Systems 2024, 12(9), 349; https://doi.org/10.3390/systems12090349 - 6 Sep 2024
Viewed by 1739
Abstract
Taking the innovation chain (IC) as the perspective, we discuss the effect of digital transformation (DT) on enterprises’ green innovation (GI) using data from Chinese listed companies from 2013 to 2021. The results show that DT has a positive effect on enterprises’ GI, [...] Read more.
Taking the innovation chain (IC) as the perspective, we discuss the effect of digital transformation (DT) on enterprises’ green innovation (GI) using data from Chinese listed companies from 2013 to 2021. The results show that DT has a positive effect on enterprises’ GI, and this effect is not only reflected in the quantity of green patent applications but also the GI efficiency and quality. Heterogeneity analysis shows that DT has a positive effect on GI for both large firms and small and medium-sized enterprises (SMEs), but the effect is greater for SMEs. Relative to enterprises that have received governmental incentive-based industrial policies, the effect is smaller in the enterprises that have no incentive-based industrial policies and are subjected to command-based environmental regulations. As the level of industry competition increases from low to high, the impact of DT on GI will grow. However, when the level of industry competition becomes excessively high, the impact will decrease. DT positively affects enterprises’ GI behaviors by facilitating the cultivation of human capital, improving the allocation of innovation resources, and increasing the level of cooperative green innovation. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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20 pages, 760 KiB  
Article
Does Digitalization Strategy Affect Corporate Rent-Seeking? Evidence from Chinese-Listed Firms
by Xiang Yu and Yanzhe Liu
Systems 2024, 12(6), 209; https://doi.org/10.3390/systems12060209 - 13 Jun 2024
Viewed by 1499
Abstract
The issue of corporate rent-seeking, which stems from the misuse of authority, remains a critical concern for the international community. Drawing on agency theory and resource dependence theory, this study explores the relationship between corporate digitalization strategies (DSs) and corporate rent-seeking. We test [...] Read more.
The issue of corporate rent-seeking, which stems from the misuse of authority, remains a critical concern for the international community. Drawing on agency theory and resource dependence theory, this study explores the relationship between corporate digitalization strategies (DSs) and corporate rent-seeking. We test our theoretical hypotheses by utilizing panel data encompassing Chinese A-share listed companies from 2004 to 2021. Our findings suggest that corporate DSs have a significant negative influence on rent-seeking. Several robustness tests support this conclusion. Moreover, our analysis indicates that a DS is particularly effective in curtailing rent-seeking behaviors within state-owned enterprises (SOEs) compared with their non-state-owned counterparts. However, contrary to our hypothesis, a DS is less effective in suppressing corporate rent-seeking among firms where the executive team has legal backgrounds. These findings suggest that top managers, especially within SOEs, should prioritize the early formulation of digital transformation strategies to reduce rent-seeking behavior. Additionally, when implementing digital transformation, firms should carefully integrate members with legal backgrounds into their executive teams and strengthen ethical education and supervision for executives with legal expertise. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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20 pages, 416 KiB  
Article
Do Not Reinvent the Wheel: A Checklist for Developing National 5G Strategies
by Sümeyra Köstereli and Ercan Ergün
Systems 2024, 12(6), 193; https://doi.org/10.3390/systems12060193 - 3 Jun 2024
Viewed by 1291
Abstract
Digital transformation is taking place across all levels of governance, from small businesses to governments. If the seed of digital transformation is data, then reliable connectivity is the nourishing soil that data need to prosper. With digital transformation, billions of connections require more [...] Read more.
Digital transformation is taking place across all levels of governance, from small businesses to governments. If the seed of digital transformation is data, then reliable connectivity is the nourishing soil that data need to prosper. With digital transformation, billions of connections require more broadband. In response to this need, some countries are preparing national 5G strategies, as 5G technology has been identified as a significant driver of the digital economy. In this study, 16 national 5G strategies have been systematically and comprehensively analyzed, and a checklist has been developed to formulate national 5G strategies and policies. The checklist can be used by policymakers, especially in developing countries, to guide the preparation of national 5G strategies and policies. Of course, each country’s national strategy will differ regarding resources, culture, etc. It is hoped that this checklist may speed up the preparation process by providing a baseline during the strategy formulation phase and make the process more efficient by incorporating lessons learned, especially for developing countries. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
16 pages, 2266 KiB  
Article
Talent Management Digitalization and Company Size as a Catalyst
by Pedro César Martínez-Morán, Fernando Díez, Josu Solabarrieta, José María Fernández-Rico and Elene Igoa-Iraola
Systems 2024, 12(5), 168; https://doi.org/10.3390/systems12050168 - 8 May 2024
Viewed by 2774
Abstract
As companies increasingly undergo digital transformation, the role of talent management processes becomes pivotal in enhancing overall organizational performance. The objective of this research is to assess the extent to which greater digitalization in the talent management process is linked to company size. [...] Read more.
As companies increasingly undergo digital transformation, the role of talent management processes becomes pivotal in enhancing overall organizational performance. The objective of this research is to assess the extent to which greater digitalization in the talent management process is linked to company size. The research has addressed four research questions in order to explore the significance of talent management in corporate digital transformation, examining whether variations in the digitalization of these processes can be attributed to company size. A qualitative approach was employed, utilizing a questionnaire, and collecting responses from 202 organizations across diverse sectors. The findings reveal disparities in digitalization throughout the talent management process, with pronounced presence in the attracting, selecting, and rewarding phases, but diminishing in deployment and development, and further declining in planning. A positive correlation between company size and the adoption of specific digital platforms was observed. Larger enterprises exhibit greater utilization of digital platforms in talent deployment and development. Moreover, corporate communication tools are consistently utilized in the rewarding phase, irrespective of company size. These findings offer practical insights for organizations aiming to optimize their digitalization strategies based on their scale, thereby contributing to more effective and tailored digitalization endeavours. The uniqueness of this research lies in its exploration of the influence of company size on the digitalization of talent management processes and its potential to explain variations across different stages of these processes. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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17 pages, 1180 KiB  
Article
Do Cross-Border Mergers and Acquisitions by Emerging Market Enterprises Enhance Long-Term Productivity? The Host Country Market Size Effect Moderated by Technological Absorption Efforts
by Xia Liu, Jiaqi Fang, Xin Hu and Yiwei Lv
Systems 2024, 12(5), 161; https://doi.org/10.3390/systems12050161 - 2 May 2024
Cited by 1 | Viewed by 1875
Abstract
The purpose of this study was to establish a spatial structural framework to explore how cross-border mergers and acquisitions (M&As) in emerging markets can enhance long-term productivity and select the appropriate host country market structures. Utilizing cross-border M&A data from Chinese companies from [...] Read more.
The purpose of this study was to establish a spatial structural framework to explore how cross-border mergers and acquisitions (M&As) in emerging markets can enhance long-term productivity and select the appropriate host country market structures. Utilizing cross-border M&A data from Chinese companies from 2008 to 2016, we developed a moderated U-shaped mediation model. Employing Two-Stage Least Squares and the Generalized Method of Moments for endogeneity analysis, we offer robust empirical insights. Our findings illustrate that enterprise productivity progression from cross-border M&As is significantly influenced by a U-shaped mediation of the host country’s market size effect, which is further moderated by the technological distance between the home and host countries. A high technological distance intensifies the U-shaped mediation of market size effects on enterprise productivity, while low technological distances result in an inverted U-shaped curve, indicating that such markets may boost short-term productivity but limit long-term growth. Conversely, larger markets with greater technological distances better support sustained productivity increases, even requiring persistent technological absorption efforts. This study underscores the necessity of selecting appropriate host country market structures and effectively managing the acquisition timeline to positively impact both short- and long-term productivity. By conceptualizing firm-level technological absorption efforts as the technological gap between the home and host countries, this study highlights the crucial moderating role that the technological gap plays in influencing long-term productivity at the macro level, providing new insights into the economic geographic strategic decisions and spatial planning for emerging market enterprises in cross-border acquisitions. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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37 pages, 9009 KiB  
Article
The Impact of a Skill-Driven Model on Scrum Teams in Software Projects: A Catalyst for Digital Transformation
by Vayodya Haputhanthrige, Ikram Asghar, Sidra Saleem and Saqib Shamim
Systems 2024, 12(5), 149; https://doi.org/10.3390/systems12050149 - 26 Apr 2024
Cited by 6 | Viewed by 2814
Abstract
Human skills are a critical factor in the success or failure of a digital project. Limited studies have been conducted to identify the industry demand for skills of scrum roles (product owner, scrum master, web developer) and levels (entry, associate, mid-senior). The evaluation [...] Read more.
Human skills are a critical factor in the success or failure of a digital project. Limited studies have been conducted to identify the industry demand for skills of scrum roles (product owner, scrum master, web developer) and levels (entry, associate, mid-senior). The evaluation of skills over time benefits both decision-makers and associated team members, which leads to successful project completions. The aim of this research is to improve decision making concerning the level-specific skills of selected scrum roles for digital projects. The study identifies major and minor skills, patterns, and relationships between levels, and formulates the mathematical equations as the most important inputs to the skill-driven model’s implementation and evaluation. Both qualitative and quantitative research methods were used to analyse 900 surveyed job advertisements published on LinkedIn in Europe. Descriptive analysis was used to analyse quantitative data while the deductive approach was followed with thematic analysis. There are required skill sets for each level of roles, level-specific skills, industry-demanded skills, and formulas related to the initial and individual skill ratings that are investigated. A new mechanism for evaluation is introduced based on “the time spent with skills”. As a result, the proposed model is implemented by feeding research findings into the Mendix programming platform. The skill-driven model is a decision-support solution in software project management to evaluate skills which assist in assigning the right person to the right digital project. Further investigation on different job portals can help to improve the accuracy of industry standards and reduce the lack of progression skills by overcoming limitations identified in this paper. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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26 pages, 2012 KiB  
Article
Transitioning to Agile Organizational Structures: A Contingency Theory Approach in the Financial Sector
by Darley Biviana Pacheco-Cubillos, Josefa Boria-Reverter and Jaime Gil-Lafuente
Systems 2024, 12(4), 142; https://doi.org/10.3390/systems12040142 - 22 Apr 2024
Cited by 4 | Viewed by 7995
Abstract
The primary objective of this investigation is to explore the key factors within a large corporation that facilitate the transition from a conventional hierarchical organizational structure to a more agile one. Although there are studies in the literature on the different agile organizational [...] Read more.
The primary objective of this investigation is to explore the key factors within a large corporation that facilitate the transition from a conventional hierarchical organizational structure to a more agile one. Although there are studies in the literature on the different agile organizational structures, there are no clear guidelines for a large company to transform to an agile framework. This study employs contingency theory as its framework and specifically focuses on the financial sector to identify both opportunities and challenges encountered during this transformation process. Qualitative research methods were employed, involving an analysis of five case studies in which managers served as respondents. This research contributes to the identification of a model as a guideline for the transformation of the organizational structure towards agility that can provide valuable information for companies undergoing such a transformation. The managers surveyed provided their experience and the competencies of their profiles were validated, in addition to the application of the Delphi method to obtain more objective information. The findings underscore that large companies should refrain from adopting a completely flat hierarchical structure. Moreover, there exists a set of strategic-level elements that serve as a guiding framework for the transformation process. Furthermore, it is essential to acknowledge that the transformation process itself does not follow a one-size-fits-all approach; rather, it is contingent upon the unique context of each individual case, and it is also a cultural challenge. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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19 pages, 1294 KiB  
Article
The Non-Linear Impact of Digitalization on the Performance of SMEs: A Hypothesis Test Based on the Digitalization Paradox
by Xinqiang Chen, Xiu-e Zhang, Zhiwen Cai and Jiangjie Chen
Systems 2024, 12(4), 139; https://doi.org/10.3390/systems12040139 - 20 Apr 2024
Cited by 4 | Viewed by 3223
Abstract
While digitalization offers new opportunities for small- and medium-sized enterprises (SMEs), it also introduces the phenomenon of the “digitalization paradox”. This paper develops a theoretical model comprising digitalization, digital technology–business alignment, external social capital, and SMEs’ performance, rooted in strategic alignment theory (SAT) [...] Read more.
While digitalization offers new opportunities for small- and medium-sized enterprises (SMEs), it also introduces the phenomenon of the “digitalization paradox”. This paper develops a theoretical model comprising digitalization, digital technology–business alignment, external social capital, and SMEs’ performance, rooted in strategic alignment theory (SAT) and social capital theory (SCT). The necessary data for the study were obtained by distributing questionnaires to 352 small and medium-sized enterprises engaged in digital practices in China, and hierarchical regression analysis was employed to investigate the impact of digitalization on the performance of SMEs and its boundaries of influence. The results indicate an inverted U-shaped relationship between digitalization and SME performance, with both digital technology–business alignment and external social capital serving as positive moderators. Specifically, digital technology–business alignment and external social capital both enhance the positive impact of digitalization on the performance of SMEs and mitigate its negative effects. The findings enhance comprehension of the “digitalization paradox” and offer new insights and solutions for SMEs to navigate the opportunities and challenges of digitalization. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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26 pages, 4324 KiB  
Article
System Approach to the Process of Institutional Transformation for Industrial Integrations in the Digital Era
by Tatyana Tolstykh, Nadezhda Shmeleva, Alexey Boev, Tatiana Guseva and Svetlana Panova
Systems 2024, 12(4), 120; https://doi.org/10.3390/systems12040120 - 6 Apr 2024
Cited by 2 | Viewed by 1900
Abstract
The digitalization of the high-tech economy is complicated due to several issues. One can mention non-synchrony and imbalance in the development of industrial enterprises and their integrations; changes in the elements and relations between enterprises and the external environment; as well as contradictions [...] Read more.
The digitalization of the high-tech economy is complicated due to several issues. One can mention non-synchrony and imbalance in the development of industrial enterprises and their integrations; changes in the elements and relations between enterprises and the external environment; as well as contradictions between the actors. Therefore, a new institutional system for industrial integrations needs to be formed. This article proposes a concept and scenario of the institutional change needed to bolster industrial integrations in the digital economy. The structural logic and algorithm of the process provides for the gradual progress through seven phases of institutional transformation. The authors have developed an institutional change management platform for strategic transformation, the core of which is a decision-making system. The platform supports the management of digital and material business processes of industrial integrations. The conceptual approach is based on a comparison of the life cycles of enterprises and their markets. The article proposes a methodology for assessing the readiness of industrial integrations to implement institutional change strategies using modified Shewhart control charts. The methodology is based on a two-criterion approach to the analysis of finances, production reserves, human resources, organizational structures, management technologies, corporate institutions, and a personnel motivation system. This approach allows determining the level of compliance of the resources available with the requirements of the transformation strategy implementation plan. The methodology has been tested at 14 enterprises functioning as industrial integration actors. According to the dynamics of the level of readiness to implement the transformation strategy, enterprises within the framework of industrial integrations are divided into three groups: enterprises with consistently high, medium, and low levels of readiness to implement the strategy. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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28 pages, 715 KiB  
Article
Unleashing Green Innovation in Enterprises: The Transformative Power of Digital Technology Application, Green Human Resource, and Digital Innovation Networks
by Jian Liu, Qibin Wang and Chaoyi Wei
Systems 2024, 12(1), 11; https://doi.org/10.3390/systems12010011 - 30 Dec 2023
Cited by 5 | Viewed by 3562
Abstract
The rapid development of digital technology has injected new vitality into green technological innovation within manufacturing enterprises. Proper application of digital technology during the innovation process can propel global sustainable development. Using Chinese publicly traded manufacturing firms as a sample, this study employed [...] Read more.
The rapid development of digital technology has injected new vitality into green technological innovation within manufacturing enterprises. Proper application of digital technology during the innovation process can propel global sustainable development. Using Chinese publicly traded manufacturing firms as a sample, this study employed a constructed digital technology innovation network and OLS models to unveil the mechanisms through which digital technology application affects green technological innovation. This research reveals a significant positive impact of the breadth and depth of digital technology applications on companies’ green technological innovation performance. Green human resource allocation serves as an intermediary in this relationship. Furthermore, the embeddedness and structural embeddedness of the digital technology innovation network play a significantly positive moderating role in the relationship between digital technology applications and green human resource allocation. This discovery provides a theoretical foundation for how companies can harness digital technology to promote green innovation within China’s digital strategy. It aids manufacturing enterprises in optimizing digital technology applications, improving green human resource allocation, and facilitating the development of digital technology innovation networks, advancing more sustainable development and contributing to global environmental goals. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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18 pages, 2754 KiB  
Article
Research on the Measurement and Characteristics of Virtual Agglomeration Based on Social Network Analysis: Evidence from 29 Manufacturing Industries in China
by Qing Zhang, Shaofeng Ru and Yiyang Cheng
Systems 2023, 11(12), 571; https://doi.org/10.3390/systems11120571 - 8 Dec 2023
Viewed by 2310
Abstract
(1) Background: Virtual agglomeration reshapes the organizational form and drives the sustainable development of the manufacturing industry. How to measure the virtual agglomeration level of the manufacturing industry is an important and difficult problem for current research. (2) Methods: In this study, we [...] Read more.
(1) Background: Virtual agglomeration reshapes the organizational form and drives the sustainable development of the manufacturing industry. How to measure the virtual agglomeration level of the manufacturing industry is an important and difficult problem for current research. (2) Methods: In this study, we constructed a social network for the virtual agglomeration of the manufacturing industry, with each industry representing a node in the network. We also measured the virtual agglomeration level of the overall manufacturing industry using the network edge number and network density indicators in the social network analysis method. Each sub-industry virtual agglomeration level was measured using the point centrality index. Furthermore, the virtual agglomeration characteristics of the manufacturing industry were examined through cluster analysis and core–periphery analysis. The data sources include the supply chain statistics and virtual agglomeration text data of manufacturing enterprises. The virtual agglomeration text data were obtained with the help of Python crawler technology. Two types of data were matched, and the virtual agglomeration data of 29 manufacturing industries in China from 2012 to 2022 was obtained. (3) Results: The virtual agglomeration level of the overall manufacturing industry is constantly improving, but there are large differences among different industries. Moreover, the virtual agglomeration of the manufacturing industry has the characteristics of both specialization and diversification. The virtual agglomeration social network of the manufacturing industry is experiencing an evolution process from a “core–periphery” structure to a “core–semi-periphery–periphery” structure. (4) Conclusions: This study provides a theoretical basis and practical reference for improving the virtual agglomeration level of the manufacturing industry. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
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