Supporting Analysts and Managers to Utilize Prescriptive Process Monitoring: A User Interface Design and Evaluation

PurposeDesign science research (DSR) is a structured approach for solving complex ill-structured problems in organizations through the development of an artefact followed by its validation. This paper aims to evaluate existing DSR methodology and propose specific accents to promote DSR for environmental, social and governance (ESG)-oriented operational excellence (OPEX) initiatives within organizations.Design/methodology/approachThis commentary paper is based on an abductive reasoning approach to evaluate and understand DSR and assess its effectiveness for developing solutions to typical ESG-oriented OPEX-based problems within organizations.FindingsExisting literature on DSR is reviewed, after which it is evaluated on its ability to contribute to the implementation of sustainable solutions for ESG-oriented OPEX-based problems. Based on the review, specific DSR methodological accents are proposed for the development of ESG-oriented OPEX-based solutions in organizations.Research limitations/implicationsThis conceptual paper contributes to the conceptual understanding of the applicability, limitations and contextual preconditions for applying DSR. This paper proposes an explicit and, in some ways, alternative view on DSR research for OPEX researchers to apply and further the body of knowledge on matters of sustainability (ESG) in operations management.Practical implicationsCurrently, there is limited understanding and application of the DSR methodology for OPEX-based problem-solving initiatives, as appears in the scant literature on DSR applied for the implementation of OPEX based initiatives for ESG purposes. This paper aims to challenge and provide accents for DSR applied to OPEX-related problems by means of a DSR framework and thereby promotes intervention-based studies among researchers.Originality/valueThe proposed step-by-step methodology contains novel elements and is expected to be of help for OPEX-oriented academicians and practitioners in implementing DSR methodology for practical related problems which need research interventions from academics from Higher Education Institutions.

Purpose This study explores the interaction between operations management and information systems by applying the Design Science Research (DSR) methodology for intelligent early fault management. Prior research primarily addressed post-fault identification and classification but has struggled with catastrophic forgetting. Thus, this work proposes an innovative data-driven artifact that leverages a deep learning (DL)-based approach for early fault detection and future fault forecasting. Design/methodology/approach Following the DSR methodology, the work proposes an innovative data-driven artifact for early fault management. The proposed artifact extracts key features from industrial sensor data in real time using a Deep Sparse Autoencoder with a sparsity penalty. These features are then processed using an Exponentially Weighted Moving Average method for monitoring process variations, while a Transformer-based Neural Network forecasts potential faults. To mitigate catastrophic forgetting, the Elastic Weight Consolidation technique is applied during offline training to preserve previous patterns when new information becomes available. Findings The artifact enhances operational decision-making by generating early warning alerts and delivering actionable insights. Experimental evaluation using real-world sensor data validates that the proposed approach outperforms existing DL methods. Originality/value Unlike traditional approaches that are limited to fixed fault distributions, this work introduces novel design propositions for industrial fault management systems, enabling dynamic learning and continuous improvement with new data.

This study aims to determine what user interface and prototype design should be in a metaverse-based sustainable smart tourism destination. A metaverse-based smart tourism destination is an approach that combines information and communication technology (ICT) to improve efficiency, quality, satisfaction, immersive experience, and sustainability of tourist experiences. The author uses the Design Science Research Methodology (DSRM) approach to build a prototype design artifact. DS (Design Science) is important in disciplines oriented toward creating successful artifacts. Several researchers have pioneered DS research in the Information Systems discipline over the past 15 years; therefore, DSRM is usually used as a reference by researchers in the Information Systems field. DSRM combines the principles, practices, and procedures needed to conduct research and fulfills three objectives: consistent with previous literature, providing a nominal process model for conducting DS research, and providing a mental model for presenting and evaluating DS research in IS. The DS process in this study focuses on design and development, demonstration, and evaluation. The author designs and develops the user interface, demonstrates it to end users, and then conducts testing or evaluation. The author tested the user interface and metaverse prototype to determine whether it was following the needs of users and stakeholders. Testing was carried out using interview techniques with experts/stakeholders using the AIKEN and ISO 25010 methods. Testing was also carried out using the black box method. End users tried the prototype directly and filled out a questionnaire the author had prepared using the GEQ (Game Experience Questionnaire) method. This study contributes to the discourse on smart tourist destinations based on the metaverse, which can add insight into smart destinations and increase satisfaction and immersive experiences. The evaluation results can be concluded that the experts agreed with the prototype, and the results of testing the prototype on the end-users showed that 90% expressed satisfaction in using/playing the metaverse prototype that had been built. This study presents a new basic pattern for developing sustainable smart tourist destinations based on the metaverse. This research is essential for stakeholders, including the government, destination managers, academics, and the community/tourists themselves, because it provides an overview of the user interface, and the prototype that was built can be a reference for all stakeholders in implementing sustainable smart tourist destinations based on metaverse.

Design science research (DSR) aims to generate knowledge about innovative solutions to real-world problems. Consequently, DSR needs to deal with the complexity related to problem and solution spaces involving sociotechnical phenomena that people perceive differently and are subject to constant change. This complexity poses challenges to sequential, process-based approaches—specifically, the existing DSR methodology. We designed a DSR methodology that extends existing approaches by adding a complementary organizing logic to address complexity. Based on the theory of hierarchical, multilevel systems, we suggest organizing DSR based on the concept of “echelons”—meaning decomposing DSR projects into smaller logically coherent self-contained parts—and suggest a set of five design echelons that imply a hierarchical organizing logic for DSR projects. The echeloned DSR (eDSR) methodology was developed in five iterations, involving seven design and evaluation episodes.

The Internet of Things (IoT) enables a new wave of immersive technologies ranging from Smart Cities and Smart Homes to wearable technologies and virtual reality applications informed by real-time data of their physical environments. Despite the growing interest in IoT applications in recent decades, we identified that only a few studies consider the Design Science Research (DSR) methodology for developing IT artifacts with hardware components, such as IoT applications. We explore the ontology and epistemology underpinning DSR methodology and propose including complex IoT artifacts into the traditional understanding of IT artifacts, dominated by virtual and conceptual artifacts. Based on these considerations, we propose evolutionary steps to the existing DSR methodology to better enable the creation of hardware-based IT artifacts in the Information Systems (IS) discipline in a rigorous and relevant manner. For this, we incorporate design approaches from other disciplines, such as engineering, i.e., explicit prototyping, into established DSR process models to create a purpose-built, lower-level, concrete process model for designing hardware-based IoT artifacts. This approach is demonstrated by developing a complex presence detection artifact, highlighting the unique challenges when working with hardware components in DSR.

Purpose– Literature-identified website benchmarking (WB) approaches are generally time consuming, survey based, with little agreement on what and how to measure website components. The purpose of this paper is to establish a theoretical approach to WB. A comprehensive design science research methodology (DSRM) artifact facilitates the evaluation of the website against the universal set of benchmark components. This knowledge allows managers to gauge/reposition their websites.Design/methodology/approach– DSRM establishes a website analysis method (WAM) artifact. Across six activities (problem identification, solution objective, artifact design/development, artifact demonstration, artifact evaluation, results communication), the WAM artifact solves the DSRM-identified WB problem.Findings– The WAM artifact uses 230 differentiated components, allowing managers to understand in-depth and at-level WB. Typological website components deliver interpretable WB scores. Website comparisons are made at domain (aesthetic, marketing, technical) and/or functional levels.Research limitations/implications– New/emergent components (and occasionally new functions) are included (and redundant components removed) as upgrades to the DSRM WAM artifact’s three domains and 28 functions. Such modifications help keep latest benchmarking comparisons (and/or website upgrades) optimized.Practical implications– This DSRM study employs a dichotomous present/absent component approach, allowing the WAM artifact’s measures to be software programmed, and merged at three different levels, delivering a useful WB tool for corporates.Originality/value– DSRM identifies the benchmarking problem. Rough-cut set-theory and mutual-exclusivity of components allow the causal-summing of typological website components into an objective WAM artifact WB solution. This new, comprehensive, objective-measurement approach to WB thus offers comparative, competitive, and website behavioral implications for corporates.

Enhancing medical radiation science education through a design science research methodology

Corporate raw materials criticality assessment: A novel tool for car electronics value chains developed with design science research methodology.

Games with purposes beyond entertainment, the so-called serious games, have been useful tools in professional training, especially in engaging participants. However, their evaluation and, also, their adaptable characteristics to different scenarios, audiences and contexts remain challenges. This paper examines the application of serious games in professional training, their results and adaptable ways to achieve certain goals. Using the Design Science Research (DSR) methodology, a framework was built to develop and evaluate serious games to improve user experience, learning outcomes, knowledge transfer to work situations, and the application of the skills practised in the game in real professional settings. At this stage, the investigation presents a framework regarding the triangulation of data collected from a systematic literature review, focus groups and interviews. Following the DSR methodology, the next steps of this investigation, listed at the end of the paper, are the demonstration of the framework in serious game development and the evaluation and validation of this artefact.

Lithium-ion batteries are one of the most promising technologies in energy storage due to their high energy density and long service life. Despite this, this technology can present failures that reduce its useful life. For this reason, battery management projects are constantly developed in the industry, aiming to optimize and reduce battery degradation, mainly for applications in second-life cells. In this context, this work aimed to create a project with a transdisciplinary team for an intelligent lithium-ion battery manager for applications in energy storage solutions by combining the Design Science Research (DSR) methodology and framework Scrum. The DSR methodology was applied to monitor the design of the intelligent manager. Conversely, Scrum was used for project management and control through weekly monitoring meetings and creating Sprints. Despite problems observed during the project, such as developer turnover, the project management was successful. It resulted in the presentation of the developed artefact at a conference and the publication of an article in an international journal. The combinations of both methodologies resulted in success and can be applied to other future product development projects and even for startups.

ObjectivesThe rate of coronavirus disease 2019 (COVID-19) booster vaccination in Indonesia remains relatively low, representing 15.33% of the overall vaccination target as of April 2022. The implementation of a reminder and recall system has been shown to be effective in increasing vaccination rates. In prior research, reminders and recalls were sent through traditional media, such as mail, and had not yet been integrated into modern media, such as smartphone applications and (in particular) contact tracing applications. Therefore, the present study was conducted to design a reminder and recall system for the PeduliLindungi contact tracing application.MethodsWe used the design science research (DSR) methodology with three iterations. The first iteration produced a low-fidelity prototype (or wireframe), and the next yielded a high-fidelity (clickable) prototype.ResultsThe final prototype included three main features: a reminder and recall mechanism, online registration for COVID-19 booster vaccination, and educational articles. The evaluation consisted of interviews in the first iteration, interviews and the System Usability Scale (SUS) questionnaire in the second, and the Post-Study System Usability Questionnaire (PSSUQ) in the third. The SUS value obtained in the second iteration was 71.6, indicating good (acceptable) results, while in the third iteration, the system usefulness, information quality, interface quality, and overall PSSUQ values were 2.456, 2.473, 2.230, and 2.397, respectively, indicating good quality of the resulting design.ConclusionsThis research contributes to two areas: implementation of a reminder and recall system in the PeduliLindungi contact tracing application and enhancement of contact tracing applications using DSR methodology.

An increase in the usage of information and communication technologies (ICT) and the Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though these data bring opportunities such as cost savings, time savings, increase in user comfort, space optimization, energy savings, inventory management, etc., these data sources cannot be managed and manipulated effectively to increase efficiency at the FM stage. In addition to data management issues, FM practices, or developed solutions, need to be supported with the implementation of lean management philosophy to reveal organizational and managerial wastes. In the literature, some researchers performed studies about awareness about building information modeling (BIM)-FM, and FM-related data management problems in terms of lean philosophy. However, the comprehensive solution for effective FM has not been investigated with the application of lean management philosophy yet. Therefore, this study aims to develop an FM framework for healthcare facilities by considering lean management philosophy since more stable workflow, continuous improvement, and creating more value to customers will help to deliver a more acceptable solution for the FM industry. Within this context, the integration of BIM, Building Energy Performance Simulations, and Big Data Analytics are proposed as a solution. In the study, the Design Science Research (DSR) methodology was followed to develop the FM framework. Depending on the DSR methodology, two scenarios were used to investigate the issue in a real healthcare facility and develop the FM framework. The developed framework was evaluated by four experts, and the revisions of the proposed framework were realized.

In 2020, the Islamic Elementary Teacher Working Group (KKG MI) held an E-Learning Training for Islamic Elementary School Teachers in DKI Jakarta about one of the gamification applications, Quizizz. According to observation, many teachers are still perplexed when utilizing the Quizizz program. This is due to the application’s design and different functionalities, which still appear complicated to some teachers who aren’t used to using it. The existing gamification application is also considered not to meet the learning needs at Islamic elementary schools in Jakarta. This study intends to analyze and design User Interface (UI) and User Experience (UX) designs for gamification-based e-learning applications as solutions to the problems found. Data collection begins with an observation and also a literature study, questionnaires, and interviews. For the design, Design Science Research Methodology (DSRM) is used, which consists of six stages: Problem Identification & Motivation, Define the Objective for a Solution, Design & Development, Demonstration, Evaluation and Communication. The results of the evaluation of the gamification-based e-learning design designed with the User Experience Questionnaire (UEQ) and Task Success show that the e-learning design is considered attractive and users can interact with e-learning effectively and easily.

Objective: To improve student motivation and engagement through an intuitive mobile interface with interactive visuals. Method: Using Design Science Research Methodology (DSRM), this study compares gamified and non-gamified interface designs. Results: User Experience Questionnaire (UEQ) results indicate that the gamified version outperforms the non-gamified design, particularly in stimulation and attractiveness, positively impacting learner and teacher satisfaction. Additionally, the Intrinsic Motivation Inventory (IMI) confirms that gamification significantly increases students' motivation, while the User Engagement Scale (UES) highlights the gamified version's effectiveness in creating an enjoyable, engaging, and impactful learning experience. Novelty: This research uniquely contrasts gamified and non-gamified designs in Quranic education, providing insights for quality improvement in Islamic e-learning platforms.

This paper presents a new approach to developing a business process architecture using the design science research methodology. It is also part of the research framework development that generates a business process architecture using semantic knowledge management enablers. The design science research methodology has been adopted to guide the research phases which mainly include problem identification, objectives definition, design and development, demonstration, evaluation and communication. The research framework components are incrementally developed and evaluated according to the design science research methodology phases and its iterative restriction. Sufficient and representative case studies of a bank in Jordan have been applied in order to demonstrate and evaluate the research framework. The bank has been divided into three case studies that reflect the main sectors of business in the bank. Each case has been utilised as an iteration in the design science research methodology. The first iteration applied the treasury case, the second the deposits case and the third the credit case. Following the first and second iterations, feedback was reported and a new iteration conducted. Feedback has been provided according to the evaluation phase of the design science research methodology iterations. The evaluation phase has included tests of verification and validation in the first, second and third iterations of the design science research methodology. These tests are followed by checking dynamism and the mixed methods approach evaluation in the second and third iterations. The mixed methods approach has been used to assess the advantages of the semantic knowledge-based business process architecture and its impact on sources of sustainable competitive advantage; these being core competencies, technical capabilities and social capital. The second and third iterations have shown a successful verification and validation of the research framework and the objectives of dynamism and sustainable competitive advantage have been achieved. The design science research methodology has facilitated the success of the development and evaluation of the research framework and has handled the disadvantages that the bank cases have revealed through the implementation of its iterations.