Pub Date : 2024-07-10DOI: 10.1109/EMR.2024.3426327
Juan M. Criado;Gema Gutiérrez;Javier Garzás;Emilio L. Cano;M. Teresa González de Lena;Javier M. Moguerza
The use of management by objectives (MBOs) methodologies, particularly the objectives and key results (OKRs) framework, has gained widespread attention in recent years as a means of improving organizational performance. This article aims to show that OKRs, a key MBO method, can enhance company performance and employee satisfaction. We conducted a comparative and retroactive analysis of MBO methods used in the 20th and 21st centuries, and surveyed 238 people in nine countries and various companies and positions. We analyzed the results of the survey and compared the variables associated with best practices in the OKR methodology. Our study examined a diverse range of companies, positions, qualifications, and ages, which provides an analysis of whether or not OKRs are being used in the organization and a comprehensive understanding of how OKRs can be implemented across in different contexts. By identifying the best variables associated with optimal performance and employee satisfaction, this article provides practical guidance for organizations seeking to adopt OKR methodology. Furthermore, this article can contribute to the development of best practices in the area of management by objectives, particularly in the context of OKRs, leading to more effective and efficient goal-setting practices in organizations.
{"title":"Exploring the Effectiveness of OKRs in Enhancing Company Objectives: A Comparative Study","authors":"Juan M. Criado;Gema Gutiérrez;Javier Garzás;Emilio L. Cano;M. Teresa González de Lena;Javier M. Moguerza","doi":"10.1109/EMR.2024.3426327","DOIUrl":"https://doi.org/10.1109/EMR.2024.3426327","url":null,"abstract":"The use of management by objectives (MBOs) methodologies, particularly the objectives and key results (OKRs) framework, has gained widespread attention in recent years as a means of improving organizational performance. This article aims to show that OKRs, a key MBO method, can enhance company performance and employee satisfaction. We conducted a comparative and retroactive analysis of MBO methods used in the 20th and 21st centuries, and surveyed 238 people in nine countries and various companies and positions. We analyzed the results of the survey and compared the variables associated with best practices in the OKR methodology. Our study examined a diverse range of companies, positions, qualifications, and ages, which provides an analysis of whether or not OKRs are being used in the organization and a comprehensive understanding of how OKRs can be implemented across in different contexts. By identifying the best variables associated with optimal performance and employee satisfaction, this article provides practical guidance for organizations seeking to adopt OKR methodology. Furthermore, this article can contribute to the development of best practices in the area of management by objectives, particularly in the context of OKRs, leading to more effective and efficient goal-setting practices in organizations.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"110-121"},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-08DOI: 10.1109/EMR.2024.3424408
Sandeep Kumar Gautam;Vinayak Shrivastava;Sandeep S Udmale;Amit Kumar Singh;Sanjay Kumar Singh
Effective management of electricity consumption (EC) in smart buildings (SBs) is crucial for optimizing operational efficiency, cost savings, and ensuring sustainable resource utilization. Accurate EC prediction enables proactive decision-making, ensuring that resources are allocated efficiently to meet actual demand levels while maintaining occupant comfort. Population growth, building expansion, and technology usage swiftly escalate electricity demand, thus necessitating economical EC management strategies and assist consumers to better understand and strategically plan their EC. To address these challenges, this article proposes a novel approach based on a hybrid prediction model combining temporal convolutional networks (TCNs) and gated recurrent units (GRU). This approach capitalizes on the strengths of both TCN and GRU. TCN is adept at efficiently identifying diverse patterns, particularly within the complex working environments of SBs, by effectively capturing high- and low-frequency information. Subsequently, GRU is leveraged to address the long-term dependencies within the data, enhancing the accuracy of EC prediction. In this article, the results demonstrate the effectiveness of the proposed hybrid model, outperforming competitive methods with an impressive mean absolute error score. This underscores the potential of this approach to improve energy management practices significantly within SB environments, ultimately enhancing both operational efficiency and occupant satisfaction.
{"title":"Modern Machine Learning Solution for Electricity Consumption Management in Smart Buildings","authors":"Sandeep Kumar Gautam;Vinayak Shrivastava;Sandeep S Udmale;Amit Kumar Singh;Sanjay Kumar Singh","doi":"10.1109/EMR.2024.3424408","DOIUrl":"https://doi.org/10.1109/EMR.2024.3424408","url":null,"abstract":"Effective management of electricity consumption (EC) in smart buildings (SBs) is crucial for optimizing operational efficiency, cost savings, and ensuring sustainable resource utilization. Accurate EC prediction enables proactive decision-making, ensuring that resources are allocated efficiently to meet actual demand levels while maintaining occupant comfort. Population growth, building expansion, and technology usage swiftly escalate electricity demand, thus necessitating economical EC management strategies and assist consumers to better understand and strategically plan their EC. To address these challenges, this article proposes a novel approach based on a hybrid prediction model combining temporal convolutional networks (TCNs) and gated recurrent units (GRU). This approach capitalizes on the strengths of both TCN and GRU. TCN is adept at efficiently identifying diverse patterns, particularly within the complex working environments of SBs, by effectively capturing high- and low-frequency information. Subsequently, GRU is leveraged to address the long-term dependencies within the data, enhancing the accuracy of EC prediction. In this article, the results demonstrate the effectiveness of the proposed hybrid model, outperforming competitive methods with an impressive mean absolute error score. This underscores the potential of this approach to improve energy management practices significantly within SB environments, ultimately enhancing both operational efficiency and occupant satisfaction.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 1","pages":"54-62"},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.1109/EMR.2024.3423312
Yanji Duan
Drawing on recent research, this note discusses the important role of blockchain technology in enhancing consumer value in online retail. Building upon two of my current research projects, my colleagues and I investigate the influence of blockchain technology on consumer perceptions within supply chains, and additionally, examine the effects of blockchain transparency and education on both consumer attitudes and, subsequently, managerial decision-making. These studies allow us to rethink technology management in online retail by applying an emerging blockchain paradigm, offering insights into its unique features and strategic value in enhancing transparency and consumer trust, and shaping managerial strategies in developed economies.
{"title":"Blockchain and Enhancing Online Retail Consumer Value","authors":"Yanji Duan","doi":"10.1109/EMR.2024.3423312","DOIUrl":"https://doi.org/10.1109/EMR.2024.3423312","url":null,"abstract":"Drawing on recent research, this note discusses the important role of blockchain technology in enhancing consumer value in online retail. Building upon two of my current research projects, my colleagues and I investigate the influence of blockchain technology on consumer perceptions within supply chains, and additionally, examine the effects of blockchain transparency and education on both consumer attitudes and, subsequently, managerial decision-making. These studies allow us to rethink technology management in online retail by applying an emerging blockchain paradigm, offering insights into its unique features and strategic value in enhancing transparency and consumer trust, and shaping managerial strategies in developed economies.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 4","pages":"8-14"},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142761403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-04DOI: 10.1109/EMR.2024.3423360
Danuvasin Charoen;Warut Khern-am-nuai
This research tackles the crucial challenge of improving password security within organizations. It proposes a practical approach to enhance both password management and user behavior. Traditional password helper systems often fall short in effectively conveying the importance of strong passwords, particularly to users with limited cybersecurity knowledge. This study addresses this gap by discussing the use of contextual warning messages which dynamically assess the strength of user-generated passwords and explain the rationale behind the assessment. By fostering a sense of shared responsibility among users, these messages aim to encourage the creation of stronger passwords. Importantly, these contextual warnings are both cost-effective and easy to implement, making them an attractive solution for organizations seeking to improve their users’ security behavior. With the proposed approach, organizations can simultaneously raise user awareness, improve understanding of password security principles, and ultimately elevate overall security practices.
{"title":"Manager's Practical Toolkit to Improve Password Security in Organizations","authors":"Danuvasin Charoen;Warut Khern-am-nuai","doi":"10.1109/EMR.2024.3423360","DOIUrl":"https://doi.org/10.1109/EMR.2024.3423360","url":null,"abstract":"This research tackles the crucial challenge of improving password security within organizations. It proposes a practical approach to enhance both password management and user behavior. Traditional password helper systems often fall short in effectively conveying the importance of strong passwords, particularly to users with limited cybersecurity knowledge. This study addresses this gap by discussing the use of contextual warning messages which dynamically assess the strength of user-generated passwords and explain the rationale behind the assessment. By fostering a sense of shared responsibility among users, these messages aim to encourage the creation of stronger passwords. Importantly, these contextual warnings are both cost-effective and easy to implement, making them an attractive solution for organizations seeking to improve their users’ security behavior. With the proposed approach, organizations can simultaneously raise user awareness, improve understanding of password security principles, and ultimately elevate overall security practices.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"8-13"},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.1109/EMR.2024.3421914
Jerry Shanahan;Frédéric Adam;Seamus O'Reilly
This article addresses the challenge of achieving strategic alignment in sales and operations planning. A conceptual framework emerges providing the basis for research propositions to guide empirical investigation to improve understanding for practice. An integrative literature review was employed to synthesize a broad range of literature. With considerable attention given to the need for strategic alignment in sales and operations planning (S&OP), achieving this has proven difficult in practice. This article employs contingency theory to classify themes arising from existing literature into contingency, response, and performance variables. Delving deeper, resource-based view theory provides insight into the feedback loop between response and contingency variables and the application of dynamic capabilities view theory reveals a cyclical adjustment capability that supports a growth-oriented mindset. The findings provide insights into the organizational mindset shift from control to growth, which is required to achieve strategic alignment. Manufacturing organizations, including start-ups, small to medium enterprises, and large companies, struggle to achieve strategic alignment in S&OP and, therefore, fail to trigger longer term decision making. The conceptual framework provides guidance for managers to reflect on their S&OP practices and develop action plans to achieve strategic alignment to extract the full value from their S&OP processes.
{"title":"A Research Agenda for Strategic Alignment in Sales and Operations Planning","authors":"Jerry Shanahan;Frédéric Adam;Seamus O'Reilly","doi":"10.1109/EMR.2024.3421914","DOIUrl":"https://doi.org/10.1109/EMR.2024.3421914","url":null,"abstract":"This article addresses the challenge of achieving strategic alignment in sales and operations planning. A conceptual framework emerges providing the basis for research propositions to guide empirical investigation to improve understanding for practice. An integrative literature review was employed to synthesize a broad range of literature. With considerable attention given to the need for strategic alignment in sales and operations planning (S&OP), achieving this has proven difficult in practice. This article employs contingency theory to classify themes arising from existing literature into contingency, response, and performance variables. Delving deeper, resource-based view theory provides insight into the feedback loop between response and contingency variables and the application of dynamic capabilities view theory reveals a cyclical adjustment capability that supports a growth-oriented mindset. The findings provide insights into the organizational mindset shift from control to growth, which is required to achieve strategic alignment. Manufacturing organizations, including start-ups, small to medium enterprises, and large companies, struggle to achieve strategic alignment in S&OP and, therefore, fail to trigger longer term decision making. The conceptual framework provides guidance for managers to reflect on their S&OP practices and develop action plans to achieve strategic alignment to extract the full value from their S&OP processes.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"41-62"},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/EMR.2024.3419268
Robert G. Cooper
The majority of artificial intelligence (AI) projects in business do not succeed. Despite numerous opinion pieces on the causes of these failures, there is a notable scarcity of solid research on the subject. Analysis of the available data shows that the reasons for AI failures are strikingly similar to those identified in the extensively studied field of new product development (NPD). Furthermore, effective strategies from NPD can be adapted to address AI project failures. This article identifies seven primary reasons for AI failures in business, primarily stemming from poor business practices, and offers corresponding recommendations for improvement.
{"title":"Why AI Projects Fail: Lessons From New Product Development","authors":"Robert G. Cooper","doi":"10.1109/EMR.2024.3419268","DOIUrl":"https://doi.org/10.1109/EMR.2024.3419268","url":null,"abstract":"The majority of artificial intelligence (AI) projects in business do not succeed. Despite numerous opinion pieces on the causes of these failures, there is a notable scarcity of solid research on the subject. Analysis of the available data shows that the reasons for AI failures are strikingly similar to those identified in the extensively studied field of new product development (NPD). Furthermore, effective strategies from NPD can be adapted to address AI project failures. This article identifies seven primary reasons for AI failures in business, primarily stemming from poor business practices, and offers corresponding recommendations for improvement.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 4","pages":"15-21"},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142761471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-19DOI: 10.1109/EMR.2024.3412403
Andreas Wagner;Helen Rogers;Alina Le
Multimaterial additive manufacturing (MMAM) introduces a new dimension to production technologies by seamlessly integrating multiple materials into a single object, enabling unparalleled design possibilities. This article explores MMAM value chains and methods and showcases real-world applications in the aerospace, biomedical, and industrial sectors. While MMAM holds promise for application in high-tech industries, its widespread adoption is contingent on quantity, utilization, and technical requirements. Continued research into developing material properties and reducing unit costs is needed. Only once these two key challenges have been addressed is mainstream adoption likely.
{"title":"Exploring New Frontiers in Multimaterial Additive Manufacturing","authors":"Andreas Wagner;Helen Rogers;Alina Le","doi":"10.1109/EMR.2024.3412403","DOIUrl":"https://doi.org/10.1109/EMR.2024.3412403","url":null,"abstract":"Multimaterial additive manufacturing (MMAM) introduces a new dimension to production technologies by seamlessly integrating multiple materials into a single object, enabling unparalleled design possibilities. This article explores MMAM value chains and methods and showcases real-world applications in the aerospace, biomedical, and industrial sectors. While MMAM holds promise for application in high-tech industries, its widespread adoption is contingent on quantity, utilization, and technical requirements. Continued research into developing material properties and reducing unit costs is needed. Only once these two key challenges have been addressed is mainstream adoption likely.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"122-133"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10564007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-19DOI: 10.1109/EMR.2024.3416331
Elli Kontogianni;Leonidas Anthopoulos
Although the term metaverse was first coined in 1992, discussions surrounding its definition began to emerge in the literature only around 2010 and have not been standardized yet. Recent literature provides numerous definitions of the term, which appear to lack conceptual clarity and cause an ambiguous understanding of the metaverse and its accompanying terminology, strengthening the importance of a commonly agreed definition. This article follows a multimethod research methodology consisting of a bibliometric analysis, a literature review, and an international focus group dedicated to the standardization of the metaverse. The bibliometric analysis that was conducted using the keywords “metaverse” and “definition” to the scientific repositories ScienceDirect, Web of Science, and Scopus, revealed, among others, the most cited articles. Definitions extracted from the top ten cited articles were compiled, and their associated keywords and their weaknesses were identified. As these findings needed to be confirmed, they were circulated with the focus group experts, leading to an exchange of various insights and information concerning the definition of the metaverse. The outcomes of this study are highly interesting since they delineate the pivotal terms of the metaverse, culminating in the establishment of a universally accepted definition.
尽管“元宇宙”一词最早出现于1992年，但围绕其定义的讨论直到2010年左右才开始出现在文献中，并且尚未标准化。最近的文献提供了该术语的许多定义，这些定义似乎缺乏概念清晰度，并导致对元宇宙及其伴随术语的模糊理解，从而加强了普遍同意定义的重要性。本文采用多方法研究方法，包括文献计量学分析、文献综述和致力于元宇宙标准化的国际焦点小组。使用关键词“metaverse”和“definition”对科学数据库ScienceDirect、Web of Science和Scopus进行了文献计量分析，揭示了被引用最多的文章。从被引次数最多的10篇文章中提取的定义进行了编译，并确定了它们的相关关键词及其弱点。由于这些发现需要得到证实，因此将它们与焦点小组专家一起分发，从而交换了有关元宇宙定义的各种见解和信息。这项研究的结果非常有趣，因为它们描绘了元宇宙的关键术语，最终建立了一个普遍接受的定义。
{"title":"Toward a Standardized Metaverse Definition: Empirical Evidence From the ITU Metaverse Focus Group","authors":"Elli Kontogianni;Leonidas Anthopoulos","doi":"10.1109/EMR.2024.3416331","DOIUrl":"https://doi.org/10.1109/EMR.2024.3416331","url":null,"abstract":"Although the term metaverse was first coined in 1992, discussions surrounding its definition began to emerge in the literature only around 2010 and have not been standardized yet. Recent literature provides numerous definitions of the term, which appear to lack conceptual clarity and cause an ambiguous understanding of the metaverse and its accompanying terminology, strengthening the importance of a commonly agreed definition. This article follows a multimethod research methodology consisting of a bibliometric analysis, a literature review, and an international focus group dedicated to the standardization of the metaverse. The bibliometric analysis that was conducted using the keywords “metaverse” and “definition” to the scientific repositories ScienceDirect, Web of Science, and Scopus, revealed, among others, the most cited articles. Definitions extracted from the top ten cited articles were compiled, and their associated keywords and their weaknesses were identified. As these findings needed to be confirmed, they were circulated with the focus group experts, leading to an exchange of various insights and information concerning the definition of the metaverse. The outcomes of this study are highly interesting since they delineate the pivotal terms of the metaverse, culminating in the establishment of a universally accepted definition.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 3","pages":"110-127"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1109/EMR.2024.3409943
Anne M. M. Turner;Sara S. Grobbelaar;Faatiema Salie;Martin Nieuwoudt
While the medical device value chain has been extensively studied, this article enhances understanding by offering a refined approach to analyze and explore its bottlenecks. Leveraging a design science research methodology, our article introduces a medical device value chain framework that advances beyond traditional mappings. Initially, two systematic literature reviews were employed to construct a preliminary map, pinpointing 74 value-adding activities across seven distinct categories: Idea Generation, Research and Development, Production/ Manufacturing, Market, Distribution and Use, Waste Management, and Systemic aspects. The framework was utilized with structured interviews with 17 subject matter experts from the Western Cape province in South Africa. These experts evaluated each value-adding activity on a 3-D scale—importance, effort required, and difficulty. After these evaluations were looked at more closely, the most important bottlenecks in the medical device value chain could be identified. The results were then visually combined using a linking grid. This matrix-based tool helps delineate the connections between medical device value chain components, pinpointing where bottlenecks align with undesirable effects. It forms a basis for formulating strategic interventions to achieve desirable outcomes.
{"title":"From Idea to Market in the Local Medical Device Value Chain: A Conceptual Framework","authors":"Anne M. M. Turner;Sara S. Grobbelaar;Faatiema Salie;Martin Nieuwoudt","doi":"10.1109/EMR.2024.3409943","DOIUrl":"https://doi.org/10.1109/EMR.2024.3409943","url":null,"abstract":"While the medical device value chain has been extensively studied, this article enhances understanding by offering a refined approach to analyze and explore its bottlenecks. Leveraging a design science research methodology, our article introduces a medical device value chain framework that advances beyond traditional mappings. Initially, two systematic literature reviews were employed to construct a preliminary map, pinpointing 74 value-adding activities across seven distinct categories: Idea Generation, Research and Development, Production/ Manufacturing, Market, Distribution and Use, Waste Management, and Systemic aspects. The framework was utilized with structured interviews with 17 subject matter experts from the Western Cape province in South Africa. These experts evaluated each value-adding activity on a 3-D scale—importance, effort required, and difficulty. After these evaluations were looked at more closely, the most important bottlenecks in the medical device value chain could be identified. The results were then visually combined using a linking grid. This matrix-based tool helps delineate the connections between medical device value chain components, pinpointing where bottlenecks align with undesirable effects. It forms a basis for formulating strategic interventions to achieve desirable outcomes.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"63-84"},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-13DOI: 10.1109/EMR.2024.3412795
Barimwotubiri Ruyobeza;Sara S. Grobbelaar;Adele Botha
In order to enhance their impact on traditional healthcare systems and improve health outcomes, digital health interventions must undergo widespread adoption, scaling, and consistent use. However, achieving the adoption and scaling of digital tools in healthcare remains a challenging goal globally. This challenge is compounded by an inconsistent and fragmented approach to adoption and scaling, as well as a limited reliance on theoretical tools throughout a digital health intervention's lifecycle phase. This article argues that adoption and scaling requirements should be prominently integrated into each phase of traditional healthcare system development and project management processes to facilitate these systems’ widespread adoption and use. Addressing this necessitates the operationalization of multiple theoretical tools across a digital health intervention's lifecycle. To tackle the identified weakness of limited reliance on theoretical tools, we conducted a qualitative evidence synthesis, culminating in a reusable framework for theory operationalization. To illustrate how the above framework can be applied in practice, we provide and discuss a use case scenario, involving a hypothetical design, development, and implementation of a remote patient management application. This work expands the existing literature on technology implementation in healthcare by introducing a framework that assists practitioners to connect theoretical concepts to traditional system development and project management activities and phases.
{"title":"Toward a Framework for Interweaving Adoption and Scaling Requirements Into Healthcare System Development and Project Management Processes","authors":"Barimwotubiri Ruyobeza;Sara S. Grobbelaar;Adele Botha","doi":"10.1109/EMR.2024.3412795","DOIUrl":"https://doi.org/10.1109/EMR.2024.3412795","url":null,"abstract":"In order to enhance their impact on traditional healthcare systems and improve health outcomes, digital health interventions must undergo widespread adoption, scaling, and consistent use. However, achieving the adoption and scaling of digital tools in healthcare remains a challenging goal globally. This challenge is compounded by an inconsistent and fragmented approach to adoption and scaling, as well as a limited reliance on theoretical tools throughout a digital health intervention's lifecycle phase. This article argues that adoption and scaling requirements should be prominently integrated into each phase of traditional healthcare system development and project management processes to facilitate these systems’ widespread adoption and use. Addressing this necessitates the operationalization of multiple theoretical tools across a digital health intervention's lifecycle. To tackle the identified weakness of limited reliance on theoretical tools, we conducted a qualitative evidence synthesis, culminating in a reusable framework for theory operationalization. To illustrate how the above framework can be applied in practice, we provide and discuss a use case scenario, involving a hypothetical design, development, and implementation of a remote patient management application. This work expands the existing literature on technology implementation in healthcare by introducing a framework that assists practitioners to connect theoretical concepts to traditional system development and project management activities and phases.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"53 2","pages":"96-109"},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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