An Analysis of Digital Transformation  in the History and Future of Modern Ports

Heilig, Leonard; Schwarze, Silvia; Voß, Stefan

doi:10.24251/hicss.2017.160

Cited by 104 publications

(54 citation statements)

References 10 publications

(13 reference statements)

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“…These findings suggest that firms who recently have realized a new value creation path can capture momentum and explore new opportunities. These results emphasize that DT is a continuous and cumulative process [20,27,33] and that prior digital innovation enables a new set of conditions for further digital innovations [16]. Over time, combinations of these innovation and alignment cycles may realize transformative effects [18].…”

Section: Discussionmentioning

confidence: 70%

“…Results of prior digital innovations enable a new set of "conditions" that foster distinct opportunities for further digital innovation [16]. Thus, DT is a continuous process based on several digital innovations that build upon each other to reach transformative scale.…”

Section: Digital Transformationmentioning

confidence: 99%

“…How can these opportunities be made accessible and attractive? Thus, continuously evaluating the firm's environmental fit and needs to manage disruptive change [33], environmental turbulence [13], and sensing opportunities from prior digital innovations become critical concerns [16,18].…”

Section: Dynamic Capabilities In Digital Transformationmentioning

confidence: 99%

See 2 more Smart Citations

Cycles of Innovation and Alignment in Digital Transformation: Investigating the Dynamics of Resource Recombination in a Construction Firm

Lundberg¹,

Sandberg

Nylén

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The generative nature of digital technology implies that during digital transformation (DT), organizations traverse multiple cycles of innovation and resource alignment. Still, extant research mainly chronicles DT as linear and contained phenomenon occurring in response to a dramatic environmental change event.How new resources align with previous ones into novel combinations, the work that supports continuous organizational capability building, and the temporal relationships between cycles of change in DT has received scant attention. Drawing on dynamic capability theory, we analyze innovation and resource alignment cycles driving DT at Lundqvist Trävaru AB, a small Swedish construction firm. Our study has at least two contributions. First, the analysis reveals three types of dynamic capabilities that shape resource generation and alignment in DT. Second, we provide a process model outlining the innovation and alignment cycles that fuel DT as they scale in the focal firm.

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Section: Discussionmentioning

confidence: 70%

Section: Digital Transformationmentioning

confidence: 99%

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Cycles of Innovation and Alignment in Digital Transformation: Investigating the Dynamics of Resource Recombination in a Construction Firm

Lundberg¹,

Sandberg

Nylén

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Model management, for example, will become a big issue as companies find that severely time-compressed decision loops result in running thousands of models in just a few seconds or minutes. This year's contributions are covering a small subset of this as they deal with green logistics [13], big data [3], and digital transformation [5].…”

Section: Intelligent Decision Support and The Future Of Logisticsmentioning

confidence: 99%

Introduction to Intelligent Decision Support and Big Data for Logistics and Supply Chain Management Minitrack

Voß

Sebastian

Pahl³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…After decades of digital transformation and automation, in particular in seaport and terminal operations (see, e.g., [2]), there is a growing demand to better utilize available and new data sources. With the increase of data sources comes the need to integrate internal and external information, after checking the reliability, quality, and veracity.…”

mentioning

confidence: 99%

Status quo and innovative approaches for maritime logistics in the age of digitalization: a guest editors’ introduction

Heilig¹,

Voβ

2017

Inf Technol Manag

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Maritime logistics can be regarded as the marriage between maritime transportation, handling and moving cargo between and within seaports, and principles of logistics and supply chain management. The unification of those different concepts aims at addressing evolving demands of customers, improving financial and operational performance, service quality, and environmental performance, growth, and corporate responsibility [6]. In recent years, this emerging discipline has attracted increasing attention in academia and practice. Especially the role of ports has drastically changed from its traditional function, connecting sea and landside by facilitating loading and unloading operations, to an essential part of global logistics networks that manages the flow of cargo and offers value-added logistics services in an efficient, effective, safe, and environmental-friendly manner. In this regard, one of the main challenges is to facilitate the coordination and collaboration among various involved actors, especially to manage activities at the interfaces in different phases of transportation, storage, and other logistics activities. Information systems and dedicated decision support systems manage related information flows and support organizational and inter-organizational decision making. Therefore, they are essential for facilitating integration and achieving the goals of maritime logistics strategies. In general, information systems already pervade nearly all activities in maritime logistics primarily used to acquire, process, exchange, and analyze data at a rapidly increasing volume and pace by applying advanced technologies and methods.After decades of digital transformation and automation, in particular in seaport and terminal operations (see, e.g., [2]), there is a growing demand to better utilize available and new data sources. With the increase of data sources comes the need to integrate internal and external information, after checking the reliability, quality, and veracity. Increasing the speed of processing from batch processing to real-time processing, a new door is opened to realize innovative maritime logistics approaches considering contextual and environmental factors in individual, crossfunctional, and inter-organizational activities. As such, the development of cutting-edge information systems and methods fully exploiting gathered information for problemsolving and decision making establishes a basis for realizing innovative maritime logistics strategies and approaches like, for instance, synchromodality and slowsteaming. Despite the growing importance of information systems in solving current and future challenges, little attention has been paid to this topic in the area of maritime logistics. The special issue promotes this line of research by focusing on the status quo and innovative approaches with respect to the collection and utilization of information in maritime logistics.The special issue includes four articles reflecting the state-of-the-art and providing different innovative approaches to c...

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An Analysis of Digital Transformation in the History and Future of Modern Ports

Abstract: Abstract

Cited by 104 publications

References 10 publications

Cycles of Innovation and Alignment in Digital Transformation: Investigating the Dynamics of Resource Recombination in a Construction Firm

Cycles of Innovation and Alignment in Digital Transformation: Investigating the Dynamics of Resource Recombination in a Construction Firm

Introduction to Intelligent Decision Support and Big Data for Logistics and Supply Chain Management Minitrack

Status quo and innovative approaches for maritime logistics in the age of digitalization: a guest editors’ introduction

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