Article
Management
Mattia Pedota
Summary: Recent research shows that big data enhances dynamic capabilities by improving prediction, decision-making, and innovation. However, this study argues that big data acts as an evolutionary driver that directs firms' attention and knowledge towards specific directions. The study also finds that firms need multiple big data sources to be receptive and dynamically capable. Moreover, the study reveals that the impact of big data on firms' digitalization priorities depends on the variety of data sources and has stronger effects on small firms.
Review
Psychology, Multidisciplinary
Ma Zhong, Majid Ali, Khan Faqir, Salma Begum, Bilal Haider, Khurram Shahzad, Nosheen Nosheen
Summary: This article discusses the importance of digitalization in the China-Pakistan Economic Corridor and proposes the Ajman Digital Governance (ADG) model as a theoretical framework. The author suggests that the Pakistani government should set up the CPEC Digitalization and Transformation Center (DTC) to attract more investors and businesses.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Qingqiang Zhang, Xinbo Sun, Mingchao Zhang
Summary: This study develops a framework to explain how firms configure data governance activities and conduct related strategic actions through a case study of a Chinese gold mining company. It identifies four key data governance activities supported by two strategic actions, contributing to research in the fields of data governance and strategic action, and providing an alternative implementation framework for practitioners.
INFORMATION & MANAGEMENT
(2022)
Article
Urban Studies
Yue Guo, Jidong Chen, Zhilin Liu
Summary: The COVID-19 pandemic has brought unprecedented challenges to nations and cities worldwide, leading governments to swiftly adopt ICTs such as health QR codes for contact tracing. This paper explores factors influencing citizens' acceptance of health QR codes in city governance, with individual experiences and political identities found to play a significant role. The government's responsiveness to citizen requests is crucial in enhancing acceptance, as a higher perceived level of responsiveness leads to lower privacy concerns and higher perceived effectiveness of health QR codes for public health improvement.
Article
Construction & Building Technology
Bernard Tuffour Atuahene, Sittimont Kanjanabootra, Thayaparan Gajendran
Summary: This study identifies, maps and thematizes the barriers to the big data process in the construction industry, finding forty barriers and five main themes. The study offers insights and perspectives for professionals/construction firms to plan and deploy big data processes effectively.
Article
Engineering, Multidisciplinary
Xiaolun Liu
Summary: This paper analyzes the multi-source big data algorithm in detail, establishes a local government governance model based on multi-source big data, and applies it to the local government governance processes of four cities. It compares and analyzes the governance situations of each city to provide a reference for optimizing the local government governance path.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Information Science & Library Science
Hamza Ali, Ryad Titah
Summary: By 2050, it is estimated that 70% of the global population will live in urban areas, presenting unprecedented challenges for cities and city managers. The use of Big Data is seen as a key technological solution to address these challenges, but currently only a few cities are able to effectively utilize it. This study aims to understand the factors influencing cities to use big data and the nature of such use.
GOVERNMENT INFORMATION QUARTERLY
(2021)
Article
Green & Sustainable Science & Technology
Stefan Gossling
Summary: In recent years, the growth of the ICT economy has drastically changed business models and consumer cultures, particularly impacting the tourism sector. While much research has focused on business and consumer outcomes, less attention has been paid to the implications for Sustainable Development Goals.
JOURNAL OF SUSTAINABLE TOURISM
(2021)
Article
Political Science
Jiangnan Zhu, Hanyu Xiao, Bin Wu
Summary: This study explores how big data technologies can create an information commons to alleviate corruption and information asymmetries in poverty alleviation programs. The study substantiates the importance of big data technology in improving policy accuracy, bureaucratic coordination, and preventing corruption through field interviews.
PUBLIC ADMINISTRATION
(2022)
Article
Computer Science, Information Systems
Alfonso Castro, Victor A. Villagra, Paula Garcia, Diego Rivera, David Toledo
Summary: In today's world, data is considered a principal asset for companies and official bodies to make strategic decisions, with advances in big data technology leading to increased complexity in data management. Data governance is crucial in simplifying this complexity, with an approach based on ontological reasoning proposed in this paper showing feasibility in reducing the complexity of managing big data environments through testing.
Article
Business
Qiaozhe Guo, Chengxuan Geng, Nengzhi (Chris) Yao
Summary: This study finds that green digitalization can enhance environmental innovation in firms, and this effect is achieved through increased R&D investment. The impact of green digitalization on environmental innovation is moderated by factors such as government support, government intervention, and cyberculture.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Economics
Weihong Xie, Qian Zhang, Yuyao Lin, Zhong Wang, Zhongshun Li
Summary: This paper investigates the relationship between big data capability and organizational innovation, as well as the formation mechanism of big data capability based on resource orchestration theory. The model was empirically tested using data collected from 179 questionnaires. The findings suggest that the acquisition capability of big data resources contributes to the development of integration and utilization capability of big data resources, leading to enhanced product innovation. Additionally, the expected benefits of big data have a negative impact on the relationship between acquisition capability and product innovation, but a positive impact on the relationship between integration and utilization capability and both product and business model innovation. The study also reveals that government support significantly influences both acquisition and integration and utilization capabilities of big data, with data governance playing a partially mediating role.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2023)
Review
Medicine, General & Internal
Tobias Ueli Blatter, Harald Witte, Christos Theodoros Nakas, Alexander Benedikt Leichtle
Summary: Laboratory medicine is a digital science that requires processing and analyzing large amounts of data. Big Data techniques are essential to make these data findable, accessible, interoperable, and reusable. When combined with clinical data, laboratory medicine data can provide important pathophysiological insights and improve patient care.
Review
Engineering, Industrial
Yijun Xing, Yipeng Liu, Philip Davies
Summary: Servitization, as a research topic in innovation and technology management field, connects products and services to enhance focal firms' competitive advantages. This paper aims to synthesize the current knowledge on servitization innovation through a systematic literature review and proposes a typology of servitization innovation. Future research directions are also presented.
Article
Computer Science, Interdisciplinary Applications
Benjamin Faro, Babak Abedin, Dilek Cetindamar
Summary: This paper explores how public sector organizations can become more agile while maintaining resilience during digital transformation through deep expert interviews and theoretical research, concluding that a hybrid organizational form of networks and bureaucracy is needed to meet competing strategic needs.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Tugberk Kaya, Burak Erkut, Nadine Thierbach
Review
Engineering, Multidisciplinary
Gagan Deep Sharma, Burak Erkut, Mansi Jain, Tugberk Kaya, Mandeep Mahendru, Mrinalini Srivastava, Raminder Singh Uppal, Sanjeet Singh
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Green & Sustainable Science & Technology
Gagan Deep Sharma, Aviral Kumar Tiwari, Burak Erkut, Hardeep Singh Mundi
Summary: The study finds a negative relationship between economic growth and renewable energy, but a positive relationship between economic growth and non-renewable energy in EU countries. Additionally, ecological footprint, non-renewable energy consumption, and carbon emissions have a positive impact on economic growth.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
Burak Erkut
Summary: This study focuses on the relationship between renewable energy and carbon emissions, providing empirical evidence on the impact of agricultural activity, economic growth, and renewable energy use on carbon emissions. The results indicate that economic growth increases carbon emissions, while renewable energy use decreases them. Additionally, agricultural activity has a significant negative effect only for non-EU countries.
Article
Energy & Fuels
Huseyin Karsili, Burak Erkut
Summary: This study examines the relationship between environmental regulations and ecological footprint in five member countries of the Union for the Mediterranean. The results indicate that there is no conclusive evidence on the reducing impact of environmental regulations on ecological footprint, while energy consumption and trade contribute to the increase in ecological footprint.
Article
Economics
Burak Erkut, Gagan Deep Sharma
Summary: This study examines the financial integration in Asia from 1970 to 2018 using various dynamic panel data methods. The results show that the rates of domestic saving and investment are integrated at I(1), indicating a long-term relationship. There is evidence of bidirectional causality between saving and investment in the Asian economies. The study provides significant empirical evidence for understanding the level of Asian financial integration.
INTERNATIONAL ECONOMICS AND ECONOMIC POLICY
(2023)
Article
Business
Amarpreet Singh Ghura, Burak Erkut
Summary: This paper explores the engagement of firms in corporate entrepreneurship through programmes and the outcomes they achieve in terms of innovations. It presents four case studies and identifies two dimensions of corporate entrepreneurship programmes - idea themes and idea ownership. It also introduces four models of corporate entrepreneurial activities and links them to product innovation cases. By drawing on effectuation and causation logics, the paper provides a fresh perspective on corporate entrepreneurship programmes in an emerging, non-Western cultural setup and the product innovation context.
ENTREPRENEURSHIP RESEARCH JOURNAL
(2022)
Article
Multidisciplinary Sciences
Gagan Deep Sharma, Aviral Kumar Tiwari, Mansi Jain, Anshita Yadav, Burak Erkut
Summary: This study investigates the time-frequency relationship between confirmed COVID-19 cases, temperature, exchange rates, and stock market returns in the top-15 most affected countries. The findings reveal cyclicality between temperature and COVID-19 cases, long-term impact of COVID-19 cases on exchange rate returns and stock market returns, and stronger co-movements between COVID-19 cases and exchange rate returns as well as between COVID-19 cases and stock market returns after controlling for other factors. This research provides valuable insights for investors and policymakers in managing coronavirus risks and shaping economic and stock market behavior.
Article
Psychology, Multidisciplinary
Gagan Deep Sharma, Amarpreet Singh Ghura, Mandeep Mahendru, Burak Erkut, Tavleen Kaur, Deepali Bedi
FRONTIERS IN PSYCHOLOGY
(2020)
Review
Business, Finance
Sanjeet Singh, Nav Bhardwaj, Gagan Deep Sharma, Tugberk Kaya, Mandeep Mahendru, Burak Erkut
QUALITATIVE RESEARCH IN FINANCIAL MARKETS
(2020)
Proceedings Paper
Business
Tugberk Kaya, Burak Erkut
PROCEEDINGS OF THE 18TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2017), VOLS 1 AND 2
(2017)
Proceedings Paper
Business
Burak Erkut, Tugberk Kaya
PROCEEDINGS OF THE 18TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2017), VOLS 1 AND 2
(2017)
Article
Economics
Burak Erkut
ENTREPRENEURIAL BUSINESS AND ECONOMICS REVIEW
(2016)
Article
Economics
Burak Erkut, Tugberk Kaya, Marco Lehmann-Waffenschmidt, Mandeep Mahendru, Gagan Deep Sharma, Achal Kumar Srivastava, Mrinalini Srivastava
INTERNATIONAL JOURNAL OF ETHICS AND SYSTEMS
(2018)