In this short paper, we give an overview on how this major trend is unfolding and, specifically, how it affects cities. We take the following starting points: • Digitalization is a strong force that “happens” everywhere in the (urban) society. It has positive and negative effects – explored later in this paper –, which might be promoted or redressed by collective action or government intervention. Rejecting or denying it may come at high costs; • Digital technologies offer new tools and answers to address urban issues; • Digital technologies and their adoption bring a lot of new and unpredictable challenges; • Digital technologies raise several new ethical questions and dilemma’s regarding privacy, safety and security; • As in any other major societal transition, legal and institutional systems are not prepared for the digital age. Reality is always ahead of new regulation, resulting in constantly moving “grey areas” where it is unclear which rules (should) apply – think of how to deal with services like AirBnB or Uber.
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Digitalization capabilities allow organizations to improve their supply chain performance and resilience. In organizations comprised of multiple subsidiary units, digitalization capabilities need to be transferred from one unit to another, a process that has been described as arduous. Using an embedded case design, the present study examines the transfer of digitalization capabilities between organizational units. The study findings highlight the importance of alignment between headquarters, subsidiary units, but also other stakeholders in providing expertise about the problem as experienced by the subsidiary and the solution. Ambiguity about causal factors and unproveness of the solution are both inhibiting factors.
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To deal with an increasingly competitive environment, organizations are combining continuous improvement (CI) practices with digitalization to accrue their benefits on operational performance and achieve operational excellence. Using a mixed-methods approach consisting of an online survey and semi-structured interviews, we examined how digitalization technologies have been incorporated in CI projects by organizations. Besides significant relationships between the nature of CI initiative and the use of digitalization tools, we found key enablers for organizations to be system compatibility, room to experiment, data-driven decision-making and step-by-step introduction with involvement of stakeholders. These enablers were found to be interlinked through knowledge of digitalization.
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Purpose: To deal with an increasingly competitive environment, organizations are combining continuous improvement (CI) practices with digitalization to accrue their benefits on operational performance and achieve operational excellence. The purpose of this study was to identify the enablers and inhibitors of digitalization as part of CI projects. Design/methodology/approach: A mixed-methods sequential explanatory research design consisting of an online survey and semi-structured interviews was used to examine how digitalization technologies have been incorporated by organizations in their CI projects. Findings: Key enablers of digitalization were found to be leadership capabilities, strategic direction, stakeholder involvement, system compatibility, data quality and giving employees room to experiment. Knowledge of digitalization was found to affect all these enablers. Research limitations/implications: The empirical findings are based on a nonprobability sample of Dutch CI practitioners, limiting their generalizability. Practical implications: The empirical findings highlight the need for organizations to adopt a structured approach to implementing digitalization as part of their CI projects, starting by ensuring that the necessary knowledge and skills are either present or accessible to the organization. Originality/value: The empirical findings show that enablers of digitalization in the context of CI are strongly interlinked, and thus require a holistic approach.
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This paper explores the nexus between digital transformation and cybersecurity, examining professional perceptions of these intertwined concepts As Industry 4.0 reshapes organizations and society, digital technologies and connectivity become pivotal. Businesses adopting e-business and cloud computing encounter challenges like information security and disruptive innovations, propelling digital transformation. However, this shift introduces new risks, particularly in cybersecurity, altering risk distribution and security requirements. The widespread integration of interconnected devices across business functions makes them vulnerable to cyber-attacks, necessitating robust cybersecurity measures. This study scrutinizes factors preventing unintentional and intentional security incidents and maps cyber risk perceptions. Through a survey of 124 professionals in collaboration with BUSIBER, we elucidate risk perception and implemented controls, essential for organizations to navigate the digital landscape securely and safeguard their market reputation. Understanding the impacts of digitalization and cybersecurity on diverse business functions is crucial for devising effective strategies to mitigate risks and ensure sustainable development.
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Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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Hospitality organizations are particularly vulnerable to changes in demand caused by disruptive events such as natural catastrophes, geopolitical events, and pandemic diseases. Nevertheless, the development of organizational resilience by hospitality organizations has remained under-explored. The ongoing digitalization trend provides a unique opportunity for hospitality organizations to combine the adoption of digitalization tools with the development of data analytic capability as a way to anticipate disruptive events and mitigate their impact on operations and performance. Through a cross-sectional survey design and using Partial Least Square Structural Equation Modeling, the present study demonstrates that hospitality organizations can improve their organizational resilience by developing data analytic capability. This can be achieved by (1) investing in the digital tools and IT infrastructure that allows them to sense their environment and (2) adapting their organizational infrastructure to quickly be able to use this information in decision-making. A limitation of the study lies in the use of cross-sectional data which limits temporal causality inferences.
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Hospitality organizations are particularly vulnerable to changes in demand caused by disruptive events such as natural catastrophes, geopolitical events, and pandemic diseases. Nevertheless, the development of organizational resilience by hospitality organizations has remained under-explored. The ongoing digitalization trend provides a unique opportunity for hospitality organizations to combine the adoption of digitalization tools with the development of data analytic capability as a way to anticipate disruptive events and mitigate their impact on operations and performance. Through a cross-sectional survey design and using Partial Least Square Structural Equation Modeling, the present study demonstrates that hospitality organizations can improve their organizational resilience by developing data analytic capability. This can be achieved by (1) investing in the digital tools and IT infrastructure that allows them to sense their environment and (2) adapting their organizational infrastructure to quickly be able to use this information in decision-making. A limitation of the study lies in the use of cross-sectional data which limits temporal causality inferences.
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A practical framework for the implementation of digitalization entitled the “Data Analytic Capability Wheel” was presented. The aspects encompassed by this framework included data quality, data analytics, IT infrastructure, processes, employee knowledge and skills, and management.
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Short Food Supply Chains (SFSCs) are gaining attention for their potential economic, environmental, and social benefits. However, they remain hindered by their small scale and lack of efficiency. This study explores the digital readiness of SFSC suppliers and assesses the potential impact thereof on the SFSC’s ability to scale up and gain efficiency. Through an embedded case study design, the study findings highlight a lack of digital readiness of SFSC actors. Their focus on personal relationships and internal processes is found to be incongruent with digitalization as an enabler of SFSC performance.
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