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The digital transformation under Industry 4.0 is complex and resource-intensive, making a strategic digitalization guideline vital to small and medium-sized enterprises' success in the Industry 4.0 transition. The present study aims to provide manufacturing small and medium-sized enterprises (SMEs) with a guideline for digital transformation success under Industry 4.0.

The study first performed a content-centric literature review to identify digital transformation success determinants. The study further implemented interpretive structural modeling to extract the order at which the success determinants should be present to facilitate the SMEs’ digital transformation success optimally. The interpretive model and interpretive logic knowledge base matrix were also used for developing the digital transformation guideline.

Eleven success determinants are vital to SMEs’ digital transformation efforts. For example, results revealed that external support for digitalization is the first step in ensuring digital transformation success among SMEs, while operations technology readiness is the most inaccessible success determinant.

The study highlights the degree of importance of the 11 success determinants identified, which magnifies each determinant's strategic priority based on its driving power and dependence power. Theorizing the dependent variable of “digital transformation success” and quantitatively measuring the extent to which each success determinant contributes to explaining “digital transformation success” offers an exciting opportunity for future research.

Digital transformation success phenomenon within the Industry 4.0 context is significantly different from the digitalization success concept within the traditional literature. The digital transformation under Industry 4.0 is immensely resource-intensive and complex. Smaller manufacturers must have specific capabilities such as change management and digitalization strategic planning capability to reach a certain degree of information, digital, operations and cyber maturity.

The digital transformation success guide developed in the study describes each success determinants' functionality in relation to other determinants and explains how they might contribute to the digital transformation success within the manufacturing sector. This guide enables smaller manufacturers to better understand the concept of manufacturing digital transformation under Industry 4.0 and devise robust strategies to steer their digital transformation process effectively.

The existing literature has been mainly focused on local problems but without an overall framework for studying the top-level planning of intelligent construction from a systematic perspective. The purpose of this paper is to fill this gap.

This research adopts a deductive research approach.

This research proposes a reference architecture and related business scenario framework for intelligent construction based on the existing theory and industrial practice.

The main contribution of this research is to provide a useful reference to the Chinese government and industry for formulating digital transformation strategies, as well as suggests meaningful future research directions in the construction industry.

Business process modeling has been given great attention due to its crucial role in developing computer-based systems that support (and automate) organizational processes. In information systems, building the right process architecture is vital, since a poor division of organizational processes can lead to complex designs or incoherent structure. Moreover, process architecture acts as a “big picture” of what the organization does, and represents dynamic relationships between the existing processes, which, in turn, helps understand how the organization works (Ould, 2005). The paper aims to discuss these issues.

This paper discusses the derivation of a process architecture diagram (PAD) using the Riva method in detail, in contrast to the PAD developed using Architecture of Integrated Information Systems (ARIS). The information system selected as an example for this comparative study is in the context of academic libraries, embedding various yet generic library processes.

Organizational process architecture provides a basis for business management, based on specific framework supported by integrated tools and methods (Kozina, 2006). ARIS and Riva process architecture methods can be used to visualize and document organizational processes. Understanding the merits and weaknesses of each method is essential to identify possible areas of application.

The processes selected were generic in most academic libraries not taking into consideration special personalized processes. These can be added though.

Both techniques are feasible and can be used to view and analyze library processes, allowing bridging the gap between theory and practice.

A number of process architecture methods are available, however, few studies focused on assessing these methods, and comparing some of them to find out how easy they are to be used in particular contexts, and whether they can be standardized.

Current business challenges force companies to exchange critical and sensitive data. The data provider pays great attention to the usage of their data and wants to control it by policies. The purpose of this paper is to develop usage control architecture options to enable data sovereignty in business ecosystems.

The architecture options are developed following the design science research process. Based on requirements from an automotive use case, the authors develop architecture options. The different architecture options are demonstrated and evaluated based on the case study with practitioners from the automotive industry.

This paper introduces different architecture options for implementing usage control (UC). The proposed architecture options represent solutions for UC in business ecosystems. The comparison of the architecture options shows the respective advantages and disadvantages for data provider and data consumer.

In this work, the authors address only one case stemming from the German automotive sector.

Technical enforcement of data providers policies instead of relying on trust to support collaborative data exchange between companies.

This research is among the first to introduce architecture options that provide a technical concept for the implementation of data sovereignty in business ecosystems using UC. Consequently, it supports the decision process for the technical implementation of data sovereignty.

This paper sets out to design and realize a highly linear, wide dynamic range and high switching efficiency integrated CMOS up‐conversion mixer for two‐step IEEE 802.1a WLAN transmitter application in 0.18‐μm deep submicron CMOS technology.

A folded current draining low‐voltage mixer architecture is explored and an extensive simulation carried out utilizing Cadence Spectre‐RF tool in optimizing the linearity, input third‐order intercept point (IIP3), the dynamic range, 1 dB compression point (P_−1dB), power dissipation and reduction of switching quad C_gs, input gate‐source capacitance, in enhancing the switching efficiency of the proposed architecture.

A highly linear, high input dynamic range, low voltage folded up‐conversion mixer architecture is realized in a significant comparable performance with respect to conventional reported architecture, indicating −8.87 dBm of OIP3 corresponding to 15.27 dBm IIP3 and 4.37 dBm of P_−1dB in 0.18‐μm CMOS technology.

The optimized mixer architecture is stringent to an up‐converter application. To be utilized as a down converter at the receiver end, parameters, namely as noise figure and conversion gain, are of additional importance.

The designed folded mixer architecture is in need of integration to a two‐step up‐conversion transmitter architecture which relaxes the injection pulling effect for a given low voltage headroom, with low power dissipation design.

In this work, an integrated folded architecture with on‐chip process, voltage and temperature compensated biasing circuit is explored and enhanced, raising awareness of adapting improved multiplier blocks in achieving optimal performance in WLAN transceiver architecture.

Fresh out of the two-century-old British legacy, Bangladesh, formerly known as East Pakistan from 1947 to 1971, was searching for a post-colonial architectural style. Colonial architecture in the region in general often imposed imported European elements, ignoring the preceding legacies of the Sultanate and the Mughals. The critical challenge was to find a balance between the prevailing high modernism in architecture and the local vernacular and climatic forces. The Pakistani government invited international architects to fill the gap left by a non-existent local architectural industry. Unfortunately, their work has rarely been properly analyzed. With selected case studies, this paper analyzes their work in an attempt to explore their contribution to creating a national architectural identity.

This study uses a case study approach with selected architectural projects from the period. It uses research tools such as systematic analysis of drawings, volumes and photographs and archival research.

The international architects took inspiration from the strong vernacular and climatic forces of the region. The resultant expressions of the two-decade-long search in their combined body of work are some of the finest examples of vernacular and climate-responsive architecture in the region. They transcended the regular international style and became context-specific and unique. The quest for East Pakistan's post-colonial architectural identity was partially met by the newly found identity through vernacular and climate-responsive adaptation in architecture.

This study explores how a unified vernacular and climate-responsive adaptations potentially shaped the post-colonial architectural identity of the region. No prior study exists on this issue for the time period.

The purpose of this paper is to present a process architecture pattern for designing particular components of a complex service. The proposal emphasizes the design of the service production flow component, following modularity ideas, which determines the sequence of actions needed to generate a high quality and efficient service. The authors report its applications to the design of the flow in a single emergency department (ED) case.

In complex services, production design is usually lacking because production activities are not clearly defined and, in many cases, they are dynamically determined as the service is produced according a client’s particular needs. In health services, for example ED, this generates a chaotic production flow that uses resources very inefficiently. The methodology uses a reference architecture, integrating it with disciplines – modularity, analytics and evaluation methods – that provide ideas for formally designing these complex services. This is mainly justified by the fact that, in many such services, no formal design exits and their production processes are the result of practice evolution.

Methodology was applied to the ED of a large public hospital. The authors first analyzed ED’s production and performance data. The authors found two patients’ groups that used more than 90 percent of resources. Therefore, design focused on these groups, defining specialized production lines for them and with physical space remodeled by an architecture project, resulting in well-defined separated workflows for each production line. Design also includes coordination with complementary shared services, including specialists consultations’ requests and execution, and request, processing and reception of laboratory and radiology examinations. The authors implemented new workflows producing a decrease of 26 percent in patients’ delays. More detailed results based on three months of observations also showed, for example, a reduction in examinations waiting times of 80 percent and an increase in the consultation resolution for cardiological patients from 24 to 80 percent in the same day, which means a significant quality increment.

Thus, the authors conclude the plausibility of the idea they proposed that an important design problem in health services, in terms of potential improvements in capacity utilization, is production design. This provides the opportunity to reduce investing large amounts of resources in new hospitals and to instead use the alternative to generate large amounts of capacity by production performance improvements.

The authors are replicating the approach in other hospitals with extensions to inpatient and ambulatory services.

Approach produces better service in public hospitals, which is a problem in emergencies in the world.

Formal design approach in health production services is proposed that provides great value by generating capacity, due to better use of resources, that reduces investment needs in new facilities.

This paper aims to present the integrated teaching activity carried out in the Studios of the Master of Science “Architecture-Building Architecture” held at the School of Architecture Urban Planning Construction Engineering of the “Politecnico di Milano,” Milan, Italy. The integrated teaching activity related to the structural disciplines was in Sgambi et al., 2019; here the structure of the MSc training and its disciplinary synergies will be presented. Indeed, this type of activity characterizes all the Studios of this Master of Science and involves all the disciplines that contribute to the development of an architectural and cultural heritage preservation project.

In the Studios of the aforementioned Master of Science, teachers of different subjects are involved, working together to guide the student in the development of an architectural project sustainable in all aspects. The fundamentals of each discipline are taught using the best suited teaching methodology and the application phase of each discipline is carried out directly on the students' projects in the form of “learning by making.” The students are thus stimulated to deepen their basic knowledge of each single discipline, making their design choices sustainable.

This experience, born in 2003 and still active, has also achieved good results in employment. Students train using the “learning by making” method to acquire proficiencies in various disciplines of design, giving them the ability to communicate competently with experts belonging to different construction sectors.

The approach illustrated in this paper does not represent the didactic experimentation of a single discipline, but it is typical of the study program of an entire Master of Science. Although this approach is entirely built on a “learning by making” and “active learning” philosophy, it maintains the teaching of the theoretical contents of disciplines at a significantly high level when compared with the contents of a frontal-taught theoretical course. The development of this structure required a strong commitment on the part of the teaching staff in their search for effective teaching methods in each individual discipline and aimed at the architectural project. The results obtained give an added value to the training of future architects.

Increasing global competition, free trade agreements, low cost foreign labor, and customer expectations are causing manufacturing enterprises to implement aggressive transformation plans. Should these transformations be incremental or enterprise‐wide? This paper aims to address the question by developing a Lean Enterprise Architecture (LEA) concept for an enterprise‐wide transformation.

The LEA is an architectural framework for enterprise reengineering in the design, construction, integration, and implementation of a lean enterprise using systems engineering methods. The architecture uses a multiphase approach structured on the transformation life cycle phases.

Viewing lean implementation across the entire enterprise minimizes the possibility of overlooking opportunities for further performance improvement. A silo view of lean implementation may allow gaps in performance to persist, with no one assuming responsibility for the entire enterprise. Employing the principles of the LEA will help improve enterprise‐wide quality, on‐time delivery, and customer satisfaction by eliminating waste in the entire organization and supply chain.

Applications and benefits are cited in the paper, but additional case studies are needed to benchmark the performance of the LEA against incremental lean implementations.

The LEA was created for the US military aerospace industry, but it is now being adopted in other commercial sectors for major transformation designs.

The LEA is the first known integration of lean thinking, enterprise architectures, and systems engineering principles in a design framework for the transformation of an enterprise.

The lack of reference architecture for Internet of Things (IoT) modeling impedes the successful design and implementation of an IoT-based production logistics and supply chain system (PLSCS). The authors present this study in two parts to address this research issue. Part A proposes a unified IoT modeling framework to model the dynamics of distributed IoT processes, IoT devices, and IoT objects. The models of the framework can be leveraged to support the implementation architecture of an IoT-based PLSCS. The second part (Part B) of this study extends the discussion of implementation architecture proposed in Part A. Part B presents an IoT-based cyber-physical system framework and evaluates its performance. The paper aims to discuss this issue.

This paper adopts a design research approach, using ontology, process analysis, and Petri net modeling scheme to support IoT system modeling.

The proposed IoT system-modeling approach reduces the complexity of system development and increases system portability for IoT-based PLSCS. The IoT design models generated from the modeling can also be transformed to implementation logic.

The proposed IoT system-modeling framework and the implementation architecture can be used to develop an IoT-based PLSCS in the real industrial setting. The proposed modeling methods can be applied to many discrete manufacturing industries.

The IoT modeling framework developed in this study is the first in this field which decomposes IoT system design into ontology-, process-, and object-modeling layers. A novel implementation architecture also proposed to transform above IoT system design models into implementation logic. The developed prototype system can track product and different parts of the same product along a manufacturing supply chain.