Robert Pavur’s research while affiliated with University of North Texas and other places

Third-party remanufacturing companies are engaging in global supply chains from a circular economy perspective. This article presents an analytical model to evaluate the remanufacturing supplier's performance using a two module-based assessment tools with multiple variables: fuzzy soft-max logarithmic method of additive weights and the original soft-max weighted assessment in a medical production corporation in Madrid. We examined the performance of ten alternative medical companies and the results showed that A4 with score of 0.8643, A8 (0.77) are selected as best option while A6 (score of 0.566) is represented as most unfavorable system. The study reveals that waste reduction plan, remanufacturing technology and supply chain integration are amongst the most influential variables to take the optimal decision. This research provides a sustainable assessment framework with participation of supply chain experts that will be ended by practical and managerial implications. Our proposed model facilitates the decision-making process and improves the accuracy of the produced results.

Purpose Diversity, equity and inclusion ideology is the latest appeal of individual compassion, institutional legitimacy and enlightened society. Specific to higher education, diversity, equity and inclusion is an honorable ideology, value and mission. This paper aims to (1) empirically recognize the differences in the level of importance between the university’s and faculty’s diversity, equity and inclusion initiatives, (2) identify the diversity, equity and inclusion outcomes, such as university brand image and student intention to engage postgraduation, (3) uncover the moderating role of university brand preference attainment and (4) validate the mediating role of student identification in diversity, equity and inclusion literature. Design/methodology/approach A survey of 1,027 usable responses was employed to perform two moderations, four mediations and two confidence interval analyses. Findings The university’s diversity, equity and inclusion initiatives are significantly more rewarding than the faculty’s diversity, equity and inclusion initiatives for the university brand image and students’ intention to engage postgraduation. Findings uncover the mediating role of student identification and the moderating role of brand preference attainment. Practical implications Focusing on diversity, equity and inclusion at the institutional level is more impactful than at the faculty level. In industries where frontline employees have significant autonomy, such as higher education, the positive brand performance outcomes are related to the faculty’s diversity, equity and inclusion awareness, not the faculty’s diversity, equity and inclusion advocacy. Diversity, equity and inclusion initiatives should align with the student’s shared values. Originality/value The study relies on institutional theory to underscore the asymmetric importance of the university’s and faculty’s diversity, equity and inclusion initiatives in achieving perceived brand image and engagement.

This paper provides empirical evidence using two studies to explain the primary factors facilitating electronic health record (EHR) systems adoption through the lens of the resource advantage theory. We aim to address the following research questions: What are the main organizational antecedents of EHR implementation? What is the role of monitoring in EHR system implementation? What are the current themes and people’s attitudes toward EHR systems? This paper includes two empirical studies. Study 1 presents a research model based on data collected from four different archival datasets. Drawing upon the resource advantage theory, this paper uses archival data from 200 Texas hospitals, thus mitigating potential response bias and enhancing the validity of the findings. Study 2 includes a text analysis of 5154 textual data, sentiment analysis, and topic modeling. Study 1’s findings reveal that joint ventures and ownership are the two main enablers of adopting EHR systems in 200 Texas hospitals. Moreover, the results offer a moderating role of monitoring in strengthening the relationship between joint-venture capability and the implementation of EHR systems. Study 2’s results indicate a positive attitude toward EHR systems. The U.S. was unique in the sample due to its slower adoption of EHR systems than other developed countries. Physician burnout also emerged as a significant concern in the context of EHR adoption. Topic modeling identified three themes: training, healthcare interoperability, and organizational barriers. In a multimethod design, this paper contributes to prior work by offering two new EHR antecedents: hospital ownership and joint-venture capability. Moreover, this paper suggests that the monitoring mechanism moderates the adoption of EHR systems in Texas hospitals. Moreover, this paper contributes to prior EHR works by performing text analysis of textual data to carry out sentiment analysis and topic modeling.

Healthcare knowledge management systems can mitigate hospitals’ operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

This research examines maintenance outsourcing in the presence of cyber-attacks. The research findings contribute to the literature on maintenance outsourcing by considering how cyber-attacks affect channel coordination and, specifically, cost subsidization. The Internet of Things assumes the risk that a “smart” or connected manufacturing system could become the target of a cyber-attack. Manufacturers have to face the difficult decision of adopting increasingly costly security technologies or having the manufacturing system remain vulnerable to cyber threats. This study develops a model addressing this dilemma by providing insight into the effects of cost subsidization and tools that manufacturers may use to evaluate the impact that installation of a security system has on a manufacturing system’s profit. The research also analyzes the effect of a cyber-attack on the system when using an age replacement policy. Under such a system, repairs may cost more than replacement which suggests that new components are required immediately after failure. For “smart” manufacturing systems that use either maintenance outsourcing or an age replacement policy, the study provides optimal solutions for firms to maximize the manufacturing system’s profit with consideration of the firms’ physical equipment failure and cyber-attack rates. The findings help determine the value of a security system by providing guidelines that address the effects of the cost, failure rate, and “successful” cyber-attack rate parameters.

Purpose Studies on mining text and generating intelligence on human resource documents are rare. This research aims to use artificial intelligence and machine learning techniques to facilitate the employee selection process through latent semantic analysis (LSA), bidirectional encoder representations from transformers (BERT) and support vector machines (SVM). The research also compares the performance of different machine learning, text vectorization and sampling approaches on the human resource (HR) resume data. Design/methodology/approach LSA and BERT are used to discover and understand the hidden patterns from a textual resume dataset, and SVM is applied to build the screening model and improve performance. Findings Based on the results of this study, LSA and BERT are proved useful in retrieving critical topics, and SVM can optimize the prediction model performance with the help of cross-validation and variable selection strategies. Research limitations/implications The technique and its empirical conclusions provide a practical, theoretical basis and reference for HR research. Practical implications The novel methods proposed in the study can assist HR practitioners in designing and improving their existing recruitment process. The topic detection techniques used in the study provide HR practitioners insights to identify the skill set of a particular recruiting position. Originality/value To the best of the authors’ knowledge, this research is the first study that uses LSA, BERT, SVM and other machine learning models in human resource management and resume classification. Compared with the existing machine learning-based resume screening system, the proposed system can provide more interpretable insights for HR professionals to understand the recommendation results through the topics extracted from the resumes. The findings of this study can also help organizations to find a better and effective approach for resume screening and evaluation.

Electronic Health Records (EHRs) are designed as a real-time digital record to streamline distinctive and valuable patient information across multiple stakeholders in the healthcare delivery channel. The stakeholders include hospitals, healthcare providers and patients, as well as a myriad of third-party providers (i.e., insurance companies, Medicare). Academicians, practitioners and public policy makers are grappling with uneven experiences and empirical findings regarding the relationship between technology-enabled information sharing and the ensuing quality of healthcare outcomes. The most significant government-mandated technology is the implementation and adoption of EHR. The present research examines EHR through the lens of Resource Advantage Theory –– to empirically assess how partial and comprehensive implementation levels of EHR adoption influence quality management and financial performance of hospitals. Based on archival data attained from 210 hospitals in the state of Texas, the results indicate positive relationships between EHR and the quality of care. While it is generally recognized that EHR and quality management affect a hospital’s performance, this research investigates the moderating effect that EHR has on quality management and a hospital’s performance. These findings provide hospital administrators, practitioners, and third-party payers with an integrative and parsimonious model to understand the impact of partial and comprehensive levels of EHR implementation on the relationship of healthcare quality and hospital performance.

Purpose Warren Buffett asserted that the greatest issue confronting American business and the economy is rising health-care costs, which have risen to 17% of gross domestic product. Public policymakers, health-care providers and other stakeholders grapple with cost-containment and increased health-care delivery efficiencies. There exists a paucity of theory-driven research addressing how information technology vis-à-vis electronic health records (EHR) may supply a managerial mechanism for increasing bottom-line hospital performance, thereby attaining competitive advantage. Design/methodology/approach A systematic interdisciplinary literature review motivated by resource advantage theory (RAT) offers a conceptual foundation for analyzing the financial, informational and physical workflows that are core elements of supply chain management in a hospital. Findings RAT links how EHR impacts profitability, competitive advantage and macromarketing factors in hospital supply chains. The literature review provides a research synthesis of the implementation and adoption of EHR to reveal its impact on a hospital’s competitive advantage. Although legislative initiatives like the 2009 Health Information Technology for Economic and Clinical Health Act and the Affordable Care Act encourage EHR adoption, there remains a reluctance for hospitals to do so. Originality/value The extant literature precedes the relevant legislation, has incomplete data or focuses solely on patient outcomes.

Purpose This study aims to examine the relationship between emotional attachment (EA) and intelligent personal assistant (IPA) continuance intention. While existing theories emphasize purely rational and goal-oriented factors in terms of information technology (IT) continuance intention, this research examines how users' EA toward technology impacts their continuance intention in the absence of cognitive and habitual factors. Design/methodology/approach This study contextualizes attachment theory from the social psychology/consumer psychology literature to an IT application and formulates and tests a new model that is proposed in the context of IPA continuance. Five research hypotheses developed from contextualization and application of the theory were posited in a structural model and empirically validated using survey results from IPA users. Findings The results show that users' EA to IPA use significantly influences their IPA continuance intention, along with emotional trust and interaction quality with the IPA. Originality/value This study contextualizes attachment theory developed in the social psychology/consumer psychology literature to formulate and test a new model in the context of IPA continuance. This work contributes to the theoretical understanding by investigating IPA continuance intention in the absence of cognitive or habitual factors and fills a critical research gap in IT post-adoption literature. IPA is just one example of technologies to which individuals can form attachments and this research provides an important foundation for future research by positing and testing the value of EA in IT post-adoption behavior. This research also contributes to practical knowledge by inferring that IPA manufacturers, managers and vendors could extend their revenue streams by integrating product features that capture emotion.