Self-reporting Limitations in Information Systems Design Science Research

Barata, João; Cunha, Paulo Rupino da; Figueiredo, António Días de

doi:10.1007/s12599-022-00782-8

Cited by 7 publications

(1 citation statement)

References 76 publications

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“…MC significantly intensifies the need for deep customer engagement and superior service provision. Delivering customized products and services requires businesses to delve deeper into the customer psyche to understand their unique needs and desires [9]. The transition towards a more customer-centric operational model can pose significant challenges, as it often necessitates considerable changes to the existing management structure, operational procedures, and corporate culture.…”

Section: Customer Engagement and Service Challengesmentioning

confidence: 99%

Embracing the Digital Intelligence: A Strategic Approach to Optimizing Mass Customization

Du,

2024

SHS Web Conf.

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This paper provides an insightful exploration of Mass Customization (MC), a rising trend in the modern manufacturing landscape that couples the efficiency of large-scale production with the allure of personalized products. It elucidates MC’s operational, market-related, and customer engagement challenges, offering optimization strategies grounded in digital intelligence technology and Supply Chain Agility (SCA). The paper delves into the role of 3D printing, Flexible Manufacturing Systems, data-driven designs, and Digital Twin Technology, illustrating how these technologies can enhance MC processes. It also underscores the importance of SCA in mediating the complex relationship between these technologies and MC capabilities, thus offering a nuanced understanding of its implementation. The study concludes that the integration of digital intelligence technology, paired with the enhancement of SCA, can effectively navigate the complexities of MC, providing a competitive edge in today’s volatile market landscape. This research is a significant theoretical and practical guide for organizations aspiring to transition toward MC amidst the digital revolution.

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Section: Customer Engagement and Service Challengesmentioning

confidence: 99%

Embracing the Digital Intelligence: A Strategic Approach to Optimizing Mass Customization

Du,

2024

SHS Web Conf.

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From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

Krouwel,

Op ’t Land,

Proper

2024

Softw Syst Model

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Due to hyper-competition, technological advancements, regulatory changes, etc, the conditions under which enterprises need to thrive become increasingly turbulent. Consequently, enterprise agility increasingly determines an enterprise’s chances for success. As software development often is a limiting factor in achieving enterprise agility, enterprise agility and software adaptability become increasingly intertwined. As a consequence, decisions that regard flexibility should not be left to software developers alone. By taking a Model-driven Software Development (MDSD) approach, starting from DEMO ontological enterprise models and explicit (enterprise) implementation design decisions, the aim of this research is to bridge the gap from enterprise agility to software adaptability, in such a way that software development is no longer a limiting factor in achieving enterprise agility. Low-code technology is a growing market trend that builds on MDSD concepts and claims to offer a high degree of software adaptability. Therefore, as a first step to show the potential benefits to use DEMO ontological enterprise models as a base for MDSD, this research shows the design of a mapping from DEMO models to Mendix for the (automated) creation of a low-code application that also intrinsically accommodates run-time implementation design decisions.

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Modeling inter-organizational business process governance in the age of collaborative networks

Ribeiro,

Barata,

da Cunha

2024

Electron Markets

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Collaborative networks require inter-organizational business process governance (IO-BPG) mechanisms to define ownership over shared resources and activities, accountability over operations, inter-organizational roles and responsibilities, and strategic partner alignment. We developed an IO-BPG modeling approach aiming to incorporate (1) IT governance activities (e.g., IT performance measurement), (2) data governance activities (e.g., data strategy management), and (3) “shadow” parallel governance-related operations. Resulting from a design science research project, our contributions include the building blocks (domain attributes, ontology, and requirements) of a novel BPMN extension, its demonstration in logistics operations, its evaluation, and design principles to guide IO-BPG modeling. Suggestions for the development and evaluation of future BPMN extensions are also highlighted based on the lessons learned in this project. For practitioners, our contribution can improve accountability reports over data assets and operations, identify dataset ownership, assist in the coordination of governance activities in networked businesses, and comply with regulations and strategic partnership agreements.

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Self-reporting Limitations in Information Systems Design Science Research

Cited by 7 publications

References 76 publications

Embracing the Digital Intelligence: A Strategic Approach to Optimizing Mass Customization

Embracing the Digital Intelligence: A Strategic Approach to Optimizing Mass Customization

From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

Modeling inter-organizational business process governance in the age of collaborative networks

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