{"title":"Leveraging Cognitive Conflict and Organizational Unlearning for Digital Mastery in SMEs: Insights From Upper Echelons","authors":"Feng Zhang;Lei Zhu;Jingjing Wang;Ruohan Gao","doi":"10.1109/TEM.2024.3446529","DOIUrl":"https://doi.org/10.1109/TEM.2024.3446529","url":null,"abstract":"In the rapidly evolving digital economy, digital transformation has emerged as a crucial strategy for firms to navigate market crises and improve operational efficiency. However, small- and medium-sized enterprises (SMEs) face significant resource and capability constraints in their digital transformation efforts, presenting unique challenges compared with larger corporations. In this article, we focus on Chinese manufacturing SMEs, integrating upper echelons and dynamic capability theories to explore how top management team (TMT) cognitive conflict influences digital transformation competency (DTC) through organizational unlearning. The study also examines the moderating roles of CEO agile leadership and strategic consensus. An empirical analysis of 139 manufacturing SMEs over one year reveals that TMT cognitive conflict positively impacts DTC and promotes organizational unlearning. Furthermore, organizational unlearning mediates the relationship between TMT cognitive conflict and DTC. The findings also indicate that strategic consensus and CEO agile leadership positively moderate the effect of cognitive conflict on organizational unlearning. These results provide new theoretical and practical insights, highlighting the critical factors influencing SMEs’ digital transformation and emphasizing the importance of TMT characteristics in driving this process.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14214-14227"},"PeriodicalIF":4.6,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142130299","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}
Juan Pineiro-Chousa;José Manuel Guaita Martinez;Domingo Ribeiro-Soriano
{"title":"Editorial How Technology Can Build Resilience to Achieve a Sustainable World: Overcoming Challenges for Humanity to Fight Global Outbreaks","authors":"Juan Pineiro-Chousa;José Manuel Guaita Martinez;Domingo Ribeiro-Soriano","doi":"10.1109/TEM.2024.3393089","DOIUrl":"https://doi.org/10.1109/TEM.2024.3393089","url":null,"abstract":"","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14098-14104"},"PeriodicalIF":4.6,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10643399","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021668","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}
Antonio Carlos Pacagnella Junior;Vinicius Romeiro da Silva;Plinio Thomaz Aquino Junior
{"title":"Critical Success Factors for Agile Software Development","authors":"Antonio Carlos Pacagnella Junior;Vinicius Romeiro da Silva;Plinio Thomaz Aquino Junior","doi":"10.1109/TEM.2024.3441829","DOIUrl":"https://doi.org/10.1109/TEM.2024.3441829","url":null,"abstract":"Agile project management has gained substantial popularity in the IT sector over the years, particularly among software development organizations. The attainment of success in these endeavors hinges on various factors known as “critical success factors” (CSFs), a subject frequently explored in academia. Nonetheless, there is no consensus regarding their impact on agile software development. To address this gap, in this article, we aim to recognize and analyze CSFs in software development projects executed using agile methodologies. The study identifies 25 CSFs categorized into five categories based on the recent literature findings. A structured survey with seven-point Likert scale questionnaires is conducted among agile software development professionals, resulting in 121 valid responses. These responses are analyzed using structural equation modeling. The findings highlight that all constructs formed within the CSFs significantly contribute to the success of agile software development projects. Moreover, the study reveals that the positive effects of these CSFs on success follow a descending order: Project factors, people factors, organizational factors, process factors, and cultural factors. Intriguingly, when these CSFs are considered as a second-order construct, their impact is even more pronounced, suggesting a synergistic relationship among these elements. This research addresses a crucial scientific aspect in project management literature and also introduces a novel yet theoretically grounded model. The study demonstrates strong validity, reliability, and explanatory capabilities (56.1%) concerning the phenomenon. Additionally, it contributes to the discussion on CSFs by pinpointing statistically significant factors and gauging their individual and collective influence on the success of agile software development projects.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14807-14823"},"PeriodicalIF":4.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434630","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}
Francesca Dal Mas;Valentina Ndou;Maurizio Massaro;Carlo Bagnoli
{"title":"Combining Deep and Digital Technologies as a Path Toward Twin Transition: The “Future Farming” Case Study","authors":"Francesca Dal Mas;Valentina Ndou;Maurizio Massaro;Carlo Bagnoli","doi":"10.1109/TEM.2024.3444592","DOIUrl":"https://doi.org/10.1109/TEM.2024.3444592","url":null,"abstract":"This article presents an innovative approach to fostering twin transitions, leveraging the creation and management of digital entrepreneurial ecosystems. In such ecosystems, both digital and deep technologies are developed to address complex societal challenges, thanks to the dynamic capabilities of their key actors. The empirical foundation for these propositions is anchored in a comprehensive case study analysis of the “Future Farming” initiative, a collaborative venture between the University Ca’ Foscari of Venice (Italy) and the company ZERO. In the Future Farming, a distinctive eco-systemic collaboration model underpinned by a digital platform allows the collaboration among industry leaders, start-uppers, and academic researchers to enable the development of twin transition unicorns that leverage deep-technologies. The case study underlines the need for a new micro foundation approach to dynamic capabilities to allow value cocreation and the establishment of new hybrid organizations, responding to market needs, aiming at sustainability, and encompassing the latest technological advancement. Moreover, it highlights a new academic entrepreneurship approach, with universities and scientists able to translate their scientific discoveries into real-world applications.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14271-14281"},"PeriodicalIF":4.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152100","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":"Understanding the Openness of Research, Development, and Innovation Projects: Evidence From Mature Industry Firms in Norway","authors":"Geir Jørgensen Justvik;Tor Helge Aas;Sanja Smiljic","doi":"10.1109/TEM.2024.3443300","DOIUrl":"https://doi.org/10.1109/TEM.2024.3443300","url":null,"abstract":"The debate surrounding firms’ choice between open and closed innovation models persists, necessitating empirical insights into openness as a continuum. This article examines determinants of openness at the project level, focusing on research, development, and innovation (RDI) projects within mature industries in Norway. Based on in-depth interviews with 32 employees involved in 24 RDI projects across 12 top-performing firms, we identify two key criteria influencing project openness: knowledge type and degree of relatedness to the firm's core product. These criteria dictate the choice of innovation model employed in RDI projects. Our findings contribute to understanding openness in innovation processes and offer a framework that serves as a practical guide for industrial managers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14168-14182"},"PeriodicalIF":4.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084522","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":"Serial Acquirers and Innovation Performance","authors":"Chandra S. Mishra","doi":"10.1109/TEM.2024.3441818","DOIUrl":"https://doi.org/10.1109/TEM.2024.3441818","url":null,"abstract":"We study the innovation performance of serial acquirers. We further examine whether managerial ability influences the relationship between acquisition frequency and innovation performance. The emerging behavioral theory suggests that high-ability managers would pursue innovative opportunities via frequent acquisitions. We employ a sample of acquirers using 6477 firm-year observations over the 2006–2016 period and find frequent acquirers have higher innovation performance relative to nonfrequent acquirers. We employ two novel measures of innovation performance, namely, innovation premium and shadow option premium. Innovation performance is the financial effectiveness of a firm's innovation activities. Managerial ability enhances the relationship between acquisition frequency and innovation performance. Moreover, the acquisition frequency enhances the relationship between managerial ability and innovation performance. We find innovative firms are more likely to be frequent acquirers. Our results are consistent with the emerging behavioral theory of the firm. Managers are likely to seize innovative opportunities promptly via frequent acquisitions, and thus, frequent acquirers are more likely to have higher innovation performance relative to nonfrequent acquirers. There appears to be a potential causal cycle from greater managerial ability to a greater acquisition frequency to a higher innovation performance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14126-14144"},"PeriodicalIF":4.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084521","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":"From Bias to Brilliance: The Impact of Artificial Intelligence Usage on Recruitment Biases in China","authors":"Fei Zheng;Chenguang Zhao;Muhammad Usman;Petra Poulova","doi":"10.1109/TEM.2024.3442618","DOIUrl":"https://doi.org/10.1109/TEM.2024.3442618","url":null,"abstract":"In the rapidly evolving landscape of human resources and talent acquisition, the impact of the usage of artificial intelligence (hereafter, AI) on recruitment biases has emerged as a pivotal and transformative subject of study. Therefore, this study aims to critically evaluate the impact of AI usage on recruitment biases, particularly in the context of China. The data were gathered through a survey of 423 respondents working in the manufacturing sector. We use a cross-sectional dataset and various diagnostics (i.e., reliability and collinearity tests). The empirical findings using multivariate regression techniques suggested that Al usage is reshaping the recruitment process by offering innovative solutions to tackle biases that have pervaded the hiring process for years. However, human involvement is indispensable in the recruitment process, alongside the use of AI. Although the use of AI can efficiently handle tasks such as resume screening and data analysis, human judgment brings essential qualities to the hiring process. Human recruiters possess the ability to assess a candidate's soft skills, cultural fit, and emotional intelligence, as these qualities are challenging for AI to comprehend. The policy implications of the study recommend that by combining the strengths of AI efficiency with human insight, organizations can create a recruitment process that is not only objective and efficient but also considerate, ethical, and aligned with the values and goals of the company.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14155-14167"},"PeriodicalIF":4.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10634779","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083903","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":"Systematic FsQCA Forecasting and its Performance","authors":"Kun-Huang Huarng;Tiffany Hui-Kuang Yu","doi":"10.1109/TEM.2024.3443063","DOIUrl":"https://doi.org/10.1109/TEM.2024.3443063","url":null,"abstract":"There is a growing trend in utilizing fuzzy set/qualitative comparative analysis (fsQCA) as a research method for business and management studies, hence showing a need for a systematic procedure in fsQCA forecasting. This article presents a systematic forecasting procedure and introduces two methods (fixed and stepwise) to handle in-sample data. It offers three distinct forecasting approaches: 1) forecasting by solution, 2) forecasting by consistency, and 3) forecasting by ratio of sufficient condition. With data separation, predictive validity can be verified after adding a layer of rigor to the proposed forecasting procedure. The three approaches represent various perspectives for forecasting. Finally, this study suggests integrating the evaluation from all three approaches in order to have a holistic view of forecasting performance.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"14106-14113"},"PeriodicalIF":4.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045112","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":"Editorial Rethinking Information Technologies and Information Systems—From Informing Pandemic Preparedness to Managing Business Disruptions and Endemic Responses","authors":"Tsan-Ming Choi;Nadja Damij;Jason Cross;Zoran Levnajic;Jiaguo Liu;Dolores Modic;Rahul S. Mor;Jana Suklan;Xuting Sun;Xiaohang Yue","doi":"10.1109/TEM.2024.3418152","DOIUrl":"https://doi.org/10.1109/TEM.2024.3418152","url":null,"abstract":"In The wake of the COVID-19 pandemic, the world seems to have jumped off the hinges. During the pandemics, countries needed to first take several steps to contain the spread and subsequently find solutions to exit the pandemic—these often being connected also to solutions related to information systems—which can, however, also bring important lessons for other sudden shock situations, as well as periods of endemics.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"13975-13982"},"PeriodicalIF":4.6,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10632571","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965569","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":"Exploring Digitalization, Resilience, and Sustainability Challenges in the Cargo Transportation and Logistics Industry Through Topic Modeling and Empirical Evidence in the Aftermath of COVID-19","authors":"Yasanur Kayikci;Nachiappan Subramanian;Saravanan Kuppusamy","doi":"10.1109/TEM.2024.3433368","DOIUrl":"https://doi.org/10.1109/TEM.2024.3433368","url":null,"abstract":"The COVID-19 pandemic has resulted in unprecedented disruptions, making the planning and management of cargo transportation and logistics challenging. The growth of e-commerce has added considerable pressure to logistics capacities, while the lack of contingency planning and unclear information about the situation has made accessing necessary supplies difficult. In our research, we have developed an approach that combines topic modeling analysis, semistructured expert interviews for empirical data collection, and the concept of a theory of change. This approach aims to identify critical areas of concern, determine short- and long-term mitigation measures for each identified critical area for establishing stability and interpretive mechanisms through digital technologies, and propose practical solutions for establishing resilient supply chains through a robust supply chain framework. Our comprehensive approach provides an accurate assessment of the challenges faced by the industry, highlights the critical areas of concern, and offers practical solutions for the post-COVID-19 cargo transportation and logistics industry.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15156-15173"},"PeriodicalIF":4.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565616","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}