IEEE Transactions on Engineering Management最新文献

{"title":"Leveraging Digital Technology Capability for Circular Economy Innovation in the Food Products Supply Chain: A Mixed-Method Study","authors":"Surajit Bag;Muhammad Sabbir Rahman;Ashutosh Singh;David Bryde;Gary Graham","doi":"10.1109/TEM.2024.3435750","DOIUrl":"https://doi.org/10.1109/TEM.2024.3435750","url":null,"abstract":"Our study aims to enhance the understanding of how digital technologies function as a dynamic capability in order to improve digital circular economy (CE) innovation and food products supply chain (FSC) performance. In particular, we examine the moderating effect of absorptive capacity (AC), which remains understudied in the sustainable operations management literature. We followed an explanatory sequential mixed-method design in this study with two main phases. In the first phase, we developed a model based on a review of the extant literature review, which was grounded in the dynamic capability view. We then statistically analyzed the model, using data collected from 623 respondents working in the food products and allied industries industry sector. In the second phase, primary data were collected from interviews with ten practitioners working in five companies in that industry sector and secondary data from the company documents. The qualitative data were used to test the relevance and practical applicability of the model developed in the first phase. Using structural equation modeling, our developed model provides empirical evidence to show that digital technology capability in the FSC positively influences digital CE innovation. We further show that AC moderates the relationship between digital technology capability in FSC and digital CE innovation. Thematic analysis of the interview data confirms digital technology capability as a higher order capability, comprising of digital sensing, digital seizing, and digital transformation capabilities, and that digital technology knowledge absorption is a technically focused AC. The analysis further confirms the relationships between digital technology capability, digital CE innovation, and enhanced FSC performance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141985956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adoption of Bionic Soft Robots in Organizations: The Role of Information Disclosure and Government Support","authors":"Sayed Kifayat Shah;Jingbo Yuan;Wenchao Wang;Jiandong Yuan","doi":"10.1109/TEM.2024.3436819","DOIUrl":"https://doi.org/10.1109/TEM.2024.3436819","url":null,"abstract":"Bionic soft robots (BSRs) present notable benefits in their versatility, adaptability, and seamless integration across various sectors and societal contexts. However, the widespread adoption of these robots is impeded by regulatory obstacles, sustainability concerns, a shortage of exhaustive research, and inadequate support systems. To address this gap, in this article, an extended unified theory of acceptance and use of technology framework is applied to analyze quantitative data from 320 organizational users applying the partial least square structural equation modeling (PLS-SEM) approach. The research discovers that government support (GS), effort expectancy, facilitating conditions (FCs), and information discourse (ID) have a substantial impact on BSR adoption. These outcomes also reveal that GS favorably regulated the FC and behavior relationships, while ID negatively correlated with social influence and intention relationships. These findings provide researchers and policymakers with theoretical and practical insights for establishing methods to optimize, integrate, and assess the merging of technology and organizational policies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Financial Impact of Green Transformation-Based Competencies: Does Green IS Play Just a Supporting Role?","authors":"Antony Paulraj;Christopher Rajkumar;Vaidyanathan Jayaraman;Constantin Blome","doi":"10.1109/TEM.2024.3437427","DOIUrl":"https://doi.org/10.1109/TEM.2024.3437427","url":null,"abstract":"Competencies such as product stewardship and pollution prevention are essential for a firm's pursuit of environmental sustainability. Yet, not all firms willingly develop these competencies. Among others, firms that have a strong entrepreneurial orientation are better placed to adopt product stewardship and pollution prevention. Additionally, the implementation of green information systems (Green IS) could significantly moderate the effect of these competencies on the firm's financial performance. Against this backdrop, a competency-based model is proposed to conjecture the role that Green IS could play in strengthening the influence of entrepreneurial orientation (resource-based competency) on product stewardship and pollution prevention (green transformation-based competencies) as well as the effect of these green transformation-based competencies on financial performance. We test a moderated mediation model using data collected from US manufacturing firms. While we hypothesize Green IS to play a supporting role, interestingly, our results seem to suggest that it is rather pivotal when it comes to the development of green transformation-based competencies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Slack Categories for Managing Risks in the Delivery and Assembly of Engineer-to-Order Prefabricated Building Systems","authors":"Fernanda Saidelles Bataglin;Carlos Torres Formoso;Daniela Dietz Viana","doi":"10.1109/TEM.2024.3436563","DOIUrl":"https://doi.org/10.1109/TEM.2024.3436563","url":null,"abstract":"Industrialization brings several advantages to the construction industry, which are strongly related to moving production activities to a controlled environment. By contrast, there are additional challenges in managing the overall construction process due to the combined effect of interdependence between off-site and on-site processes and uncertainty caused by internal and external factors. In the context of engineer-to-order (ETO) industrialized building systems, products are customer-specific and require continuous negotiations between the provider and the customer, making the system even more complex and requiring reliable information. The use of slack may be interpreted as a dimension of project risk management, offering opportunities to make production systems more responsive to the impacts of project complexity. However, in the context of ETO industrialized building systems, research on using slack is still scarce. The research work aims to devise a framework of slack categories to support planning and control systems for the delivery and assembly of ETO industrialized building systems. Regarding theoretical contributions, some connections were established between different categories of slack and some core concepts and principles of the lean production philosophy, such as production flow and pull production. This investigation also explores the use of some digital technologies, such as four-dimensional building information modeling.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multiobjective Multiperiod Efficient Portfolio Selection Approach for Positive and Negative Returns Using RDM-DEA Under Credibilistic Framework","authors":"Arun Kumar;Sanjay Yadav","doi":"10.1109/TEM.2024.3437160","DOIUrl":"https://doi.org/10.1109/TEM.2024.3437160","url":null,"abstract":"There are abundant applications of data envelopment analysis (DEA) for efficient portfolio selection, though in a single-period environment. However, portfolio selection is a multiperiod process involving long investment horizons. Subsequently, owing to changing market conditions, investors often rebalance their portfolios based on the performance of each asset and the portfolio as a whole. Besides, assets' performance constituting the multiperiod portfolio changes from one period to the next. Consequently, assets may yield positive or negative returns in one or more periods. Hence, it is imperative to deal with negative returns in a multiperiod framework for a multiobjective multiperiod efficient portfolio selection (MOMPEPS). To this end, this article proposes a two-stage credibilistic MOMPEPS approach. A multiperiod range directional measure DEA model is employed in Stage-I for evaluating the period-wise and overall efficiency of assets having both positive and negative returns. In Stage-II, a MOMPEPS model is proposed for maximizing the terminal wealth, overall efficiency, and minimizing the cumulative risk of the portfolio subject to several realistic constraints. The max-min approach solves the proposed model and presents several efficient portfolios for different investment schemes characterizing investors' attitudes. A comprehensive numerical illustration demonstrates and validates the proposed approach.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking the Relationship Between Circular Economy and Interorganizational Collaboration: An Exploratory Study and an Analytical Framework","authors":"Silvia Lisi;Benito Mignacca;Michele Grimaldi;Marco Greco","doi":"10.1109/TEM.2024.3437772","DOIUrl":"https://doi.org/10.1109/TEM.2024.3437772","url":null,"abstract":"Collaboration among different organizations could be a vital enabler of a circular economy (CE). However, few studies examine the role of interorganizational collaboration in CE initiatives. Particularly obscure is the relationship between different types of interorganizational collaboration and specific CE initiatives. This article explores such a relationship in the automotive sector through a content analysis of 73 nonfinancial reports disseminated by the world's largest automakers in 2021 and 2022. This article shows that focal firms primarily leverage interorganizational collaboration with suppliers to implement CE initiatives, mainly recycling and reducing initiatives. Focal firms relatively often collaborate with multiple actors and customers to implement CE initiatives, particularly recycling initiatives. Of note, collaboration with universities and research institutes plays a minor role in CE initiatives, assuming only a relatively higher relevance in CE initiatives with the highest degree of circularity. Last, this article provides a novel analytical framework to examine the relationship between interorganizational collaboration and CE.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10621635","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fintech and Entrepreneurship: An Assessment Model to Evaluate Policy Instruments for Fintech Adoption by Small and Medium Enterprises","authors":"Deemah Alassaf;Tugrul Daim;Marina Dabić;Saeed Alzahrani","doi":"10.1109/TEM.2024.3435919","DOIUrl":"https://doi.org/10.1109/TEM.2024.3435919","url":null,"abstract":"Small and medium enterprises (SMEs) are the engines that drive economic development. However, they face inferior conditions and challenges when it comes to their access to broad financing channels. Hence, financial technologies (Fintech) solutions offer promising potential for improving SMEs’ access to finance. While researchers and practitioners have been promoting Fintech as a potential financial safeguard for SMEs’ needs, evidence shows an inadequate adoption rate of SMEs to such solutions and a lack of a comprehensive view of the Fintech adoption. Therefore, this research aims to provide a comprehensive examination of Fintech policy instruments and analyze their effectiveness in increasing the adoption of Fintech by SMEs through evaluating the essential policy targets impacting the adoption of Fintech and assessing their weights and priorities. This research is built upon a comprehensive literature review and experts’ insights. The hierarchical decision modeling methodology is used to identify the relative importance of those factors proposing a policy evaluation tool to assess the effectiveness of policy instruments on increasing Fintech adoption. This research presents the identification of 17 distinct policy targets that fall within four main perspectives along with their relative weights. To test the practicality and value of the research, a case study of the policy instrument effectiveness, the Saudi Arabian regulatory sandbox, was conducted to illustrate how the model could be used to identify the policy instrument's actual performance in terms of influencing SMEs adoption of Fintech, identify the instrument's strengths and weaknesses, and offer recommendations on how to improve to increase the policy instrument's effectiveness in increasing the adoption of Fintech by SMEs.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remanufacturing Strategy of Closed-Loop Supply Chain Under the Constraint of Recycling and Remanufacturing Target: Integrating Carbon Footprint and Social Welfare","authors":"Haowei Zhang;Yang Lv;Justin Zuopeng Zhang","doi":"10.1109/TEM.2024.3433539","DOIUrl":"https://doi.org/10.1109/TEM.2024.3433539","url":null,"abstract":"This study explores optimal remanufacturing strategies in a closed-loop supply chain under government-mandated recycling and remanufacturing targets. Two models are proposed: Model O, featuring the original equipment manufacturer (OEM) managing both product streams, and Model T, with a third-party remanufacturer and the OEM in a leadership role. Utilizing the Stackelberg game-theoretic approach through the Karush-Kuhn-Tucker (KKT) condition, the study reveals that the remanufacturing strategy depends on the unit remanufacturing cost. The cost is divided into two intervals with a distinct strategy based on whether the OEM has remanufacturing capability. In both models, firms exceed recycling and remanufacturing targets in profitable intervals and meet minimum targets in compliance intervals, but with different boundaries. Model O and Model T employ distinct decision-making mechanisms to achieve recycling and remanufacturing targets. Comparative analysis indicates that aggregate supply chain profit in Model T is lower than that in Model O. Social welfare is influenced by the economic impact of carbon emissions; Model O shows higher welfare when the impact is significant, and Model T surpasses it when the impact is insignificant. This study provides insights into effective remanufacturing strategies that consider recycling and remanufacturing targets, unit remanufacturing costs, and the economic impact of carbon emissions.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Management Respond to Negative Feedback: AI-Powered Insights for Effective Engagement","authors":"Aytac Gokce;Mina Tajvidi;Nick Hajli","doi":"10.1109/TEM.2024.3432457","DOIUrl":"https://doi.org/10.1109/TEM.2024.3432457","url":null,"abstract":"The reputation of a business is significantly influenced by online reviews, with negative feedback having the potential to harm a brand's image and dissuade potential customers. To safeguard their image and convert dissatisfied users into loyal ones, businesses must formulate effective strategies for managing negative reviews. This study investigates response strategies aimed at enhancing the relationship between people and organizations among dissatisfied users upon their return. Using AI as a methodology by leveraging machine learning in our research, we managed to achieve remarkable accuracy using only response attributes to predict there is an increase in subsequent ratings of dissatisfied return customers. The study reveals that specific actions taken or planned in response to a user's complaint, a statement accepting responsibility for service failures, and a request for direct contact through phone or email can positively impact user loyalty and elevate subsequent ratings from returning dissatisfied customers. However, there is a noteworthy negative correlation between the length of the response text and the subsequent rating from returning customers. These findings not only provide theoretical insights but also have practical implications, underscoring the value of machine learning and data analytics in effective reputation management.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141985957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does Online Ride-Hailing Affect Car Purchasing Intention Under the Sharing Economy?","authors":"Fuli Zhou;Dongge Si;Sunil Tiwari;Panpan Ma;Ming K. Lim","doi":"10.1109/TEM.2024.3431677","DOIUrl":"https://doi.org/10.1109/TEM.2024.3431677","url":null,"abstract":"Car purchasing intentions are related to changes in urban motor vehicle ownership changes, which further affect urban mobility, livability, and sustainable development. The exploration of car purchasing intention investigation is crucial to help better understand future urban transportation and the adjustment of planning and management strategies. Driven by Internet-based techniques and business innovation, online ride-hailing has transformed the traditional traveling mode, which may bring some changes to private car consumption. Previous publications mainly investigated the characteristic portraits of online ride-hailing users and the influential factors while failing to probe into the potential influences of online ride-hailing on private car consumption intention. This study tries to shift our eyes to the influential mechanism of online ride-hailing on car purchasing intention by employing an extended theory of planned behavior (TPB) considering perceived value, perceived risk, and environmental awareness factors. The questionnaire survey is designed and 519 research data samples are collected by online questionnaire. The partial least squares structural equation model is formulated to validate the proposed hypotheses based on the formulated expanded TPB, aiming to scrutinize the influential paths of online ride-hailing on car purchasing intention. Results indicate that the purchasing intention of consumers is positively related to their attitude and subjective norms, while it is not correlated with perceived behavioral control. Both attitudes and subjective norms play a mediation role during the potential influence of perceived value, perceived risk, and environmental awareness on consumers’ purchasing intention. Besides, the heterogeneity analysis tests are also conducted to investigate the discrepant influential mechanisms for different consumers’ demographic characteristics. This study extends academic research on consumer behavior by investigating the influential mechanisms of online ride-hailing on car purchasing intention, as well as providing strategic implications for local government and industrial sectors.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}