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The challenges encapsulated in the 'War for Sales Talent' are symbolic of the struggles inherent in the recruitment, nurturing, and retention of sales professionals. While extant research provides valuable insights into facets like hiring practices, selection criteria, coaching, and training strategies, a noticeable void persists in guiding salespeople as they navigate beyond the initial ramp-up period in a new role. By interconnecting survey responses from a cohort of 200 service salespeople with 18–24 months of tenure, this investigation brings to light the facets of effort—encompassing prospecting, conversion, retention, and growth—that exert an influence on the change in year-over-year revenue following a salesperson's first complete sales cycle post-onboarding. The results underscore the significance of conversion and growth efforts, revealing their robust impact on the net change in sales revenue. In challenging existing paradigms, this study proposes a conceptual shift in understanding sales effort. Rather than adhering to the prevailing unidimensional viewpoint, the findings advocate for recognizing sales effort as a multi-dimensional construct with competing demands. This nuanced perspective contributes to a more comprehensive understanding of the factors influencing revenue growth for salespeople transitioning from the ramp-up period toward a sustainable, growth-oriented trajectory. [ABSTRACT FROM AUTHOR]

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The recent COVID-19 pandemic created an unpredictable environment regarding the safety operations of sport and recreation organizations. This study was designed to examine how safety climate and organizational innovativeness could promote preferred organizational behavior outcomes in college campus sport and recreation centers. A total of 227 sport and recreation employees were recruited through the National Intramural and Recreational Sports Association. With the collected data, we employed structural equation modeling to assess the research hypotheses. The results indicated that safety climate and innovativeness positively influenced job engagement, therefore leading to enhanced safety compliance and employee innovativeness, which ultimately resulted in higher levels of organizational performance. Peer safety compliance was also found to be a moderator in the relationship between job engagement and safety compliance. In this study, the authors offer new insights into sport organizational performance by emphasizing safety and innovation. [ABSTRACT FROM AUTHOR]

As instability becomes the norm, supply chain management is becoming increasingly complex and critical. As a result, supply chain managers must adapt to complex situations. Managing instability is a key expectation for these managers. One way to help them to manage this instability is to study resilience. Resilience is related to in the literature as the ability of a system to resist, adapt and recover from disruptions. Measuring and controlling supply chain resilience has therefore become a key issue for managers, especially in a context of instability. In 2013, the World Economic Forum [2013. Global Risks 2013. Davos, Switzerland: World Economic Forum] highlighted in its study, this priority for the surveyed companies to master this concept of resilience. To address this need, this paper presents an innovative approach to disruption and resilience management based on physics principles. It considers disruptions as forces that impact supply chain performance. These forces are created as a result of changes in the internal or external attributes of the supply chain. In this approach, supply chain performance is represented and visualised as a physical trajectory modelled in the framework of its performance indicators. Thus, disturbances are considered as forces that displace and deviate the supply chain's performance trajectory in its performance framework. [ABSTRACT FROM AUTHOR]

While interfunctional collaboration remains well-studied within the marketing literature, this research is the first to empirically explore the effects of sales–supply chain management (S-SCM) collaboration among salespeople selling internationally. Survey data from 310 international salespeople provide initial empirical evidence showing that S-SCM collaboration can positively predict international salesperson performance outcomes. To show that the effect is unique and provide rare empirical evidence, the authors simultaneously account for the effects of multiple forms of cross-functional collaboration (i.e., sales–marketing collaboration and sales–research and development collaboration). Matching the survey responses with objective country-level data, the authors also find that the value of S-SCM collaboration varies across countries. In particular, the positive effects of S-SCM collaboration were amplified by logistics capacity (or "logistics friendliness") at the country level. The study's findings also indicate that the positive performance returns provided by S-SCM collaboration are even stronger for international salespeople focused on customer acquisition (vs. customer retention). Broadly, the study implies that, for optimal firm performance, those who are responsible for managing global supply chains should coordinate activities with those responsible for selling to global customers. [ABSTRACT FROM AUTHOR]

A central idea in the behavioral theory of the firm is that when an organization's performance falls below aspirations, a search for solutions is triggered. While this aspiration-based model has dominated the empirical literature, it is only one of two Carnegie School accounts of how firms use performance feedback to regulate behavior. We call the second account the belief-based model. This model focuses on the characteristics of the choice alternatives faced by firms and the challenges inherent in evaluating them. Using a computational approach, we demonstrate that the predictions of the belief-based model may explain instances where search increases, rather than decreases, as performance improves. This behavioral pattern, both above and below the aspiration, is prevalent in empirical research but not well accounted for using the aspiration-based model alone. We then develop the integrated discovery and evaluation of alternatives (IDEA) model of problemistic search, which integrates the two models and identifies the organizational and environmental factors that induce one or the other constituent submodels. We highlight the implications for empirical research on performance feedback and extensions to account for additional theoretical constructs, such as affect and politics. [ABSTRACT FROM AUTHOR]

Although digital transformation has aroused the interest of scholars and practitioners, how to reach a win-win situation between economic and carbon performance in the context of carbon neutrality has not been well addressed. Based on organizational information processing theory, this study investigates how digital transformation affects economic and carbon performance via low-carbon operations management practices (LOMP) and the moderating role of CEO ambivalence. We test research hypotheses using hierarchical regression analysis by collecting data from 297 Chinese manufacturing firms. Our results reveal that all three dimensions of LOMP mediate the impact of digital transformation on carbon performance, and low-carbon products mediate the impact of digital transformation on economic performance. In addition, CEO ambivalence weakens the impacts of digital transformation on three dimensions of LOMP. The findings extend the digital transformation and LOMP literature and provide theoretical guidance for managers to achieve the goals of economic development and carbon reduction. [ABSTRACT FROM AUTHOR]

Exploring the impact of performance audits on public company management becomes a crucial field of study, highlighting how these critical assessments not only reveal operational effectiveness but also shape strategic and policy decisions. Plithogenic statistics analysis, in particular, emerges as an innovative approach that goes beyond traditional methods, introducing the inherent complexity of multiple interdependent variables and their dynamic effects on organizational outcomes. This statistical framework not only captures the inherent fluctuations in the data, but also unravels the root causes of varying performances, providing deep insights that challenge static perceptions of public administration. From a practical perspective, plithogenic analysis not only quantifies current performance, but also anticipates future trends, equipping managers with powerful tools to adjust strategies and policies more precisely. By considering the complex interaction between multiple factors, from resource management to operational efficiency, this statistical approach allows for a more holistic and nuanced assessment of the impacts of performance audits. Thus, a dynamic landscape is revealed where each piece of data reflects not only superficial results, but also the hidden connections that define the effectiveness and long-term sustainability of modern public companies. [ABSTRACT FROM AUTHOR]

The Government Performance and Results Modernization Act (GPRAMA) of 2010 established new requirements to encourage performance measure development in US government agencies. This study empirically tests if the implementation of the requirements resulted in the development of performance indicators on customer service, efficiency, output, quality and outcome. By examining this neglected research area, this study finds that the familiarity of government employees with the requirements had little impact on the development of measures. This implies that the GPRAMA has been reduced to a means to maintain ceremonial legitimacy. The research also finds that managerial factors are positive predictors of the development of performance measures. [ABSTRACT FROM AUTHOR]

This paper discusses logistics collaboration applied to a vehicle-manufacturing setting. We reach out to a larger segment of the supply chain by employing a novel unit of analysis, a logistics triad. The triad encompasses an Original Equipment Manufacturer, a Third-Party Logistics Service Provider, and first-tier suppliers. We use the framework known as Collaborative Transportation Management (CTM) to study collaborative transportation activities, focusing on the important relationship between logistics collaboration and logistics performance. Using a qualitative research orientation and a multi-case research strategy, we interviewed logistics practitioners in three countries to identify the enablers of CTM, the salient collaborative practices, and the performance outcomes. The study uncovers the extent to which CTM contributes to the operational and relational performance of the logistics triad. We provide empirical evidence of an ad hoc implementation of this notion. We propose avenues of intervention to preserve logistics collaboration and to enhance logistics performance. [ABSTRACT FROM AUTHOR]

Drawing on social exchange theory (SET) and job demand‐resource (JD‐R) theory, the purpose of this study is to examine the role of green knowledge sharing and green group cohesion in the context of green practices and green work engagement. Data analysis of the 392 respondents working in managerial positions at RMG factories in Bangladesh shows that green competency‐building practices have a significant relationship with green work engagement. However, the study has not found any relationship between green performance management practices, green involvement practices, and green work engagement. Nevertheless, the study shows that green knowledge sharing mediates the relationship between green practices and green work engagement. Furthermore, this study's contribution to SET and JD‐R theories is referred to as "green group cohesion" as we have found it to be a significant moderator in the indirect relationship between green competency‐building practices, green performance management practices, green involvement practices, and green work engagement through green knowledge sharing. The findings have implications for the theories and practices that are discussed. [ABSTRACT FROM AUTHOR]

Purpose: Since the introduction of balanced scorecard by Kaplan and Norton in 1992, it garnered considerable research and practice attention across disciplines. Using bibliometric analysis, this study examines trends in balanced scorecard research in last 20 years and identifies future areas of research. Design/methodology/approach: The Web of Science database was used to extract research papers from the 2003 to 2023 period with "Balanced Scorecard" as topic. The final sample consisted of 445 articles. Trends and patterns were analyzed using bibliometric analysis through research profiling and thematic analysis. Findings: The findings reveal that BSC, spanning across disciplines, including business and operations, has enriched the theory and practice of BSC research. Analytical and survey methods were more prevalent than primary studies. Scholars from the USA and the UK have made noteworthy contributions to balanced scorecard research. Emerging themes include integrating human resources, sustainability, subjectivity in performance evaluation and non-financial performance indicators in BSC for better strategic decision-making. Practical implications: The study would inspire researchers to generate new research questions and hypotheses and help in identifying gaps in the current knowledge base and areas where further investigation is needed. Managers would gain useful insights into performance management by studying the BSC research evolution to find a fit for modern-day industry needs. Originality/value: The authors' contribution fills the void by providing useful account of extent research over last 20 years using bibliometric analysis and motivate future research directions. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this research is to present an integrated methodological framework to aid in performance stewardship of management institutions according to their strategies based on a holistic evaluation encompassing social, economic and environmental dimensions. Design/methodology/approach: A Mamdani fuzzy inference system (FIS) approach was adopted to design the quantitative models with respect to balanced scorecard (BSC) perspectives to demonstrate dynamic capability. Individual models were developed for each perspective of BSC using Mamdani FIS. Data was collected from subject matter experts in management education. Findings: The proposed methodology is able to successfully compute the scores for each perspective. Effective placement, teaching learning process, faculty development and systematic feedback from the stakeholders were found to be the key drivers for revenue generation. The model is validated as the results were well accepted by the head of the institution after implementation. Research limitations/implications: The model resulting from this study will assist the institution to cyclically assess its performance, thus enabling continuous improvement. The strategy map provides the causality of the objectives across the four perspectives to aid the practitioners to better strategize. Also this study contributes to the literature of BSC as well to the applications of multi-criteria decision-making (MCDM) techniques. Originality/value: Mamdani FIS integrated BSC model is a significant contribution to the academia of management education to quantitatively compute the performance of institutions. This quantified model reduces the ambiguity for practitioners to decide the performance levels for each metric and the priorities of metrics. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to comprehensively assess how digital maturity degree (DMD) impacts sustainable supply chain management (SSCM) performance through the mediating role of SSCM practices in businesses in Vietnam. Design/methodology/approach: The hypotheses were performed using partial least square-structural equation modeling (PLS-SEM) with data collected from a survey of over 234 managers having responsibility in the supply chain field in Vietnam. Qualitative data were collected through semistructured interviews with 6 experts to deepen understanding of the relationship between DMD and SSCM. Findings: The results show the mix-results in the relationship between SSCM practices and SSCM performance dimensions while DMD strongly impacts SSCM practices. Also, this study finds the mediating role of SSCM practices on the relationship between DMD and SSCM performance. Originality/value: This is the first study to investigate the role of DMD on SSCM practices and SSCM performance, using empirical evidence. Moreover, the authors integrate both qualitative and quantitative for understanding complex SSCM phenomena. The present study also helps businesses improve their SSCM performance by leveraging SSCM practices and developing their digital technologies in the long-term view. [ABSTRACT FROM AUTHOR]

Purpose: This study examines the direct and indirect effects of organizational environmental orientation (EO)/culture, quality management practices (QMP) and sustainability experience (SE) on the relationship between organizational green practices (GP) and the triple bottom line (TBL) of sustainability performance (SuP). Design/methodology/approach: To test the seven hypotheses, a structured questionnaire was used to collect data. The responses of 365 managers from various USA businesses in the service industries were analyzed using IBM SPSS and structural equation modeling (SEM)-AMOS. Findings: The empirical results indicate that positive SuP in the economic, environmental and social dimensions and organizational GP can be improved by a strong culture of EO, effective QMP and substantial SE. Practical implications: This research fills the gap in existing research between important organizational and environmental priorities and SuP. Consequently, the study provides managers with important strategic guidance: for environmental practices to achieve profitability and sustainability success, companies must promote an environmental-mindful culture and strategically invest in integrated QM systems. Originality/value: This research is one of the first that explores how organizational environmental culture and QMP affect directly and indirectly the relationship between GP and SuP. These results provide empirical evidence to support the claim that environmental culture and QMP have significant direct and indirect effects on the relationship between GP and SuP dimensions. [ABSTRACT FROM AUTHOR]

This study explores the potential role of climate policy uncertainty (CPU) on the long-term correlations between clean energy and different energy metals based on the DCC-MIDAS model. Our results show that CPU negatively affects the long-term correlation and will cause an additional negative impact when it increases. Moreover, risk management performance results show that energy metals are potential diversification tools for the clean energy asset and the efficiency is improved during the high-CPU period. [ABSTRACT FROM AUTHOR]

The EFQM Model (European Foundation for Quality Management), established in 1991, serves as a framework for organizational excellence, helping achieve sustainable success through an integrated management system. The Model's evolution is driven by the need to adapt to global trends, threats, and technological innovations such as digital transformation, employee engagement and well-being, remote work, agile performance management, diversity, equity and inclusion (DEI), sustainability, AI (Artificial Intelligence), and big data. The new EFQM Model 2025, presented in Istanbul in June 2024, introduces significant changes, emphasizing sustainability, innovation, and technology. These changes are analyzed based on the logic of three questions: Why, How, and What. Why: There is a necessity for better alignment of organizations with contemporary challenges through flexibility, risk resilience, and innovation capabilities in a dynamic business environment, including alignment with the Unated Nations Sustainable Development Goals (SDGs). How: The Model introduces an integrated approach to performance management and transformation, incorporating advanced technologies such as AI and data analytics. What: Implementing the EFQM Model 2025 enhances organizational adaptability, innovation, and flexibility, improving financial, operational, and strategic outcomes. Better alignment with sustainability goals leads to long-term value and social responsibility. Improved stakeholder engagement methods enhance understanding and satisfaction. The use of advanced technologies supports innovation and operational efficiency, while better strategic and operational performance and risk management ensure greater stability and the ability to anticipate future challenges. [ABSTRACT FROM AUTHOR]

Purpose: Patient-report outcome measures (PROMs) have gained widespread support as a mechanism to improve healthcare quality. We aimed to map out key enablers and barriers influencing PROMs implementation strategies in routine clinical practice. Methods: An umbrella review was conducted to identify reviews exploring enablers and barriers related to the integration of PROMs in routine clinical practice from January 2000 to June 2023. Information on key enablers and barriers was extracted and summarised thematically according to the Theoretical Domains Framework. Results: 34 reviews met our criteria for inclusion. Identified reviews highlighted barriers such as limited PROMs awareness among clinicians and patients, perceived low value by clinicians and patients, PROMs that were too complex or difficult for patients to complete, poor usability of PROMs systems, delayed feedback of PROMs data, clinician concerns related to use of PROMs as a performance management tool, patient concerns regarding privacy and security, and resource constraints. Enablers encompassed phased implementation, professional training, stakeholder engagement prior to implementation, clear strategies and goals, 'change champions' to support PROMs implementation, systems to respond to issues raised by PROMs, and integration into patient pathways. No consensus favoured paper or electronic PROMs, yet offering both options to mitigate digital literacy bias and integrating PROMs into electronic health records emerged as important facilitators. Conclusions: The sustainable implementation of PROMs is a complex process that requires multicomponent organisational strategies covering training and guidance, necessary time and resources, roles and responsibilities, and consultation with patients and clinicians. [ABSTRACT FROM AUTHOR]

Data Envelopment Analysis (DEA) is a mathematical programming model that calculates the relative efficiency of homogenous Decision Making Units (DMUs). The conventional DEA models used to calculate the efficiency require the exact amount of inputs and outputs; in real business situations, however, it is often impossible to determine the exact numeral value of some inputs and outputs. At the same time the Common Set of Weights (CSW) overcomes the weakness of DEA models for assessment under same conditions. On the other hands, it is important to considering the balance in evaluation and calculation of indicators. This study develops a new model to calculate the CSW in fuzzy environments, considering the balanced environment using the Balanced Scorecard (BSC). Our proposed model is linear for fairly and equitably evaluating the DMUs on the same scale, also enables us to deal with fuzzy environment and greatly reduces the computational complexities for enormous volumes of data in many real applications and treat difficulties in fuzzy DEA models. From a managerial point of view, this paper aims to provide an integrated framework to form a better strategic decision-making process about organization performance, which ultimately leads to the competitive advantages and success of the organization in the long run. Finally, in the field of performance management, the proposed model was applied to evaluate the performances of ten manufacturing enterprises in to confirm the validity and applicability of the proposed approach. [ABSTRACT FROM AUTHOR]

Objective: The objectives of this study were to examine current procedures that are used to evaluate competency development in clinical neuropsychology at the postdoctoral level and to investigate policies and procedures for the management of performance that is below expectations during the postdoctoral fellowship. Method: Clinical neuropsychology fellowship program directors were invited via email with multiple reminders to participate in an online survey between 1/26/2023 and 3/31/2023. Results: Most programs administer a competency-based written evaluation of fellow performance (92%) and have a written policy for managing performance that is below expectations (86%). However, greater variability was reported regarding the use of other evaluation tools, including fellow self-assessments (46% of programs), program evaluations (57% of programs), supervisor evaluations (73% of programs), and exit interviews (82% of programs). Moreover, there was variability between programs with regard to the specific competencies that were measured and how performance that is below expectations is managed. Conclusions: Competency-based evaluations and clear, written policies and procedures for management of performance that is below expectations are recommended. Such tools and policies provide clear expectations for fellowship outcomes, promote regular communication between fellows and supervisors, foster early identification of gaps in training, facilitate program quality improvement, and increase opportunities to support and intervene during the course of fellowship training. [ABSTRACT FROM AUTHOR]

This paper investigates institutional isomorphism within English social housing through the theoretical lens of strategic performance management. By employing a multiple case study analysis, we uncover how external isomorphic pressures are sensed within the organization as a strategic dissonance through its strategic performance management system. Housing Associations (HAs) need to respond to these 'sensed' external changes by adapting their internal strategic performance management, which are then measured and reported in a rapidly changing external environment. We argue that by focusing on changes in managing performance, organizational performance can become a lens by which the internalization of isomorphic pressures in social housing can be studied. A conceptual framework for social housing has been developed to study how HAs manage their performance in a rapidly changing context. [ABSTRACT FROM AUTHOR]

This research explores the effect of Green Human Resource Management (GHRM) practices on employee green behavior (EGB). A conceptual model involving two double-moderations is developed and tested with the data collected from 397 respondents from various industries in India. Hayes's PROCESS macros were used in testing the hypotheses. Consistent with the Ability-Motivation-Opportunity (AMO) and Social Identity Theory (SIT), the green recruitment strategies (GRS) and green institutional initiatives (GII) positively predict EGB. The results indicate that the significant three-way interaction between GRS, employee green training and development (E-GTD), and employee green participation and involvement (E-GPI) influenced EGB. The findings also suggest that the three-way interaction between GII, employee green performance management, appraisal (E-GPMA), employee green compensation, and rewards (E-GCR) influencing the EGB was significant. The implications for green human resource management (G-HRM) and sustainability are discussed. [ABSTRACT FROM AUTHOR]

Copyright of Nuclear Safety is the property of Nuclear & Radiation Safety Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article reflects on the purposes, tools, uses and users of effective government performance management and on lessons learned from the U.S. federal government after thirty-years implementing the law mandating government-wide performance management, the Government Performance and Results Act of 1993 amended by the GPRA Modernization Act of 2010. The article also discusses progress made and challenges encountered and offers recommendations for future improvement, mostly for the federal government but with a few recommendations for others. [ABSTRACT FROM AUTHOR]

While the positive aspects, but also pathologies, of performance measurement and management are today well known, we know less about the impact of NPM reform on governance. Using Bertelsmann SGI data (2009 and 2022) from 30 advanced democracies and a unique dataset measuring NPM reform in 14 countries, we study how core aspects of governing capacity have been impacted by, or triggered as responses to, public management reform. While the executive capacity of government has increased, NPM has not increased the accountability of executive government. Corruption prevention has increased between 2009 and 2022, while legal certainty has improved only marginally. [ABSTRACT FROM AUTHOR]

This study proposes explanations for GPRA's incomplete institutionalization, and how it has influenced and continues to affect the use of performance management in the US Government. It evaluates the evolving institutionalization of GPRA, PART, and GPRAMA resulting from tensions in three sets of competing PM reform values: 1) performance-performative communications, 2) discretion-accountability, and 3) politics-administration. The study concludes that experiential learning from GPRA's incomplete institutionalization set the stage for today's evidence and data movements and increased instrumental use of performance information in federal agencies. [ABSTRACT FROM AUTHOR]

In the 1980s, New Zealand famously adopted a high-specification view of performance management. Departments and ministers would agree ex-ante to the quantity and quality of goods and services to be produced in the coming year. This change helped inspire an international "performance movement," but no country ever went as far as New Zealand in reducing all activities to specifiable outputs. What has happened since? Successive efforts to refine the model reached a peak in 2004, but requirements were significant relaxed in 2013 without replacement, with a variety of possible explanations. [ABSTRACT FROM AUTHOR]

Strategic planning is integral to government performance management reforms in both China and the United States. How do the two countries differ in their planning approaches? This study examines this issue by using Charles Lindblom's theory of synoptic and strategic planning. It shows that China relies on centralized, elite-led synoptic planning, rooted in its Communist legacy, while the United States, with its focus on social interaction in policymaking, places value on preference-guided and consultation-based strategic planning. This study highlights the pivotal role of strategic planning in serving political objectives, shaping its strengths and weaknesses as a management tool. [ABSTRACT FROM AUTHOR]

The adoption and use of organizational performance management techniques has evolved in the US federal government over the past three decades. This began with an emphasis on creating a supply of performance information largely for accountability and budgeting purposes. Its emphasis shifted to creating a demand for performance information to inform improvement strategies. Nevertheless, the resulting performance governance framework and its accompanying administrative routines have not been adopted consistently across agencies or at lower levels within agencies. However, recent movements to develop more sustainable uses of data and evidence may hold lessons for the future of the federal performance movement. [ABSTRACT FROM AUTHOR]

Corporate museums are facilities where companies showcase their history and interests in a museum-like setting. Similarly to traditional museums, they pursue cultural, social and economic performance goals. Differently from traditional museums, they also seek high organizational performance, because of their connection with their parent company. Given this business affiliation, the current systems to trace performance in traditional museums appear inadequate. Despite this peculiarity, today there are no studies on performance measurement systems for corporate museums. The present study aims to fill this knowledge gap by exploring how to design a performance measurement system to measure corporate museum performance. A collaborative action research project with Museimpresa, the Italian National Association of Corporate Museums, led to this discussion on a comprehensive and modular performance measurement system for this sector. The paper also offers suggestions on the process and the roles for development, which practitioners could find helpful in future implementations. [ABSTRACT FROM AUTHOR]

Although this research has made significant progress in image generation models, they still face issues such as insufficient diversity of generated images, poor quality of high-resolution images, and the need for a large amount of training data for model optimization. This paper studies poster design based on deep learning automatic image generation algorithm, using a recursive supervised image generation algorithm framework of generative adversarial networks for multi-view image generation and super-resolution generation tasks of small sample digital poster images. Various improvements have been proposed to enhance the performance of the GAN network model for poster design image generation tasks. Based on experimental research, this paper's model uses generative adversarial networks to distinguish randomly cropped low resolution and high-resolution poster blocks, ensuring that high-resolution posters maintain their original resolution canvas texture and brush strokes, effectively improving the automatic generation effect of poster images. The evaluation results show that the quantitative evaluation of the proposed algorithm model in knowledge management is distributed in a reasonable range, which indicates that the proposed algorithm model has good performance in knowledge management. The poster design model based on deep learning automatic image generation algorithm proposed in this paper has certain effects. In subsequent practice, the automatic image generation algorithm can be combined with practical needs to improve the efficiency and design effect of poster design. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study is to explore the structural attributes of the pharmaceutical industry before the onset of the COVID-19 pandemic by examining the relationship between inventory and firm performance and developing a taxonomy of pharmaceutical firms based on the earns-turns matrix. Design/methodology/approach: This study examines the inventory–firm performance linkage, considering both total inventory and its discrete inventory components in pharmaceutical firms. In addition, this research develops a new taxonomy of pharmaceutical firms based on the earns-turns matrix. A large panel dataset of firms in the US pharmaceutical industry was collected for the period 2000–2019. Findings: The results reveal that strategic groups identified based on this taxonomy show different levels of profitability and inventory turns in the earns-turns matrix. Most pharmaceutical firms moved from the low-right to the top-left section in the earns-turns matrix, indicating that these firms have generally pursued profitability rather than effective inventory management. Research limitations/implications: This study explores the structural attributes of the pharmaceutical industry using the earns-turns matrix. This two-dimensional analysis may not, however, capture the full complexity of inventory–firm performance dynamics. Practical implications: The mapping of strategic groups on the earns-turns matrix provides a useful tool for visual representations of the dynamics of strategic groups in terms of financial performance and inventory management performance. Practitioners can use the earns-turns matrix to benchmark their firm's position against their competitors. Originality/value: This study broadens the scope of operations management research by introducing the earns-turns matrix as an empirical validation tool for operational and strategic management theories. This study emphasizes the effectiveness of the earns-turns matrix in analyzing strategic groups of pharmaceutical firms. [ABSTRACT FROM AUTHOR]

We consider multiobjective optimization problems with at least one computationally expensive constraint function and propose a novel surrogate-assisted evolutionary algorithm that can incorporate preference information given a priori. We employ Kriging models to approximate expensive objective and constraint functions, enabling us to introduce a new selection strategy that emphasizes the generation of feasible solutions throughout the optimization process. In our innovative model management, we perform expensive function evaluations to identify feasible solutions that best reflect the decision maker's preferences provided before the process. To assess the performance of our proposed algorithm, we utilize two distinct parameterless performance indicators and compare them against existing algorithms from the literature using various real-world engineering and benchmark problems. Furthermore, we assemble new algorithms to analyze the effects of the selection strategy and the model management on the performance of the proposed algorithm. The results show that in most cases, our algorithm has a better performance than the assembled algorithms, especially when there is a restricted budget for expensive function evaluations. [ABSTRACT FROM AUTHOR]

Techno-overload represents a new job demand arising from information and communication technologies (ICTs) application in the workplace but its impact on task performance is still controversial. The purpose of this paper is to investigate how and when techno-overload affects task performance through two different processes (i.e., the energy depletion process and the motivational process). Based on the job demands-resources (JD-R) model, we developed a moderated mediation model examining the moderating role of mastery climate in the indirect relationship between techno-overload and task performance through exhaustion and work engagement. We collected data from 275 employees in China and tested the model using conditional process modeling. The findings show that mastery climate weakens the negative indirect effect of techno-overload on task performance through exhaustion and strengthens the positive indirect effect of techno-overload on task performance through work engagement. Our paper not only contributes to the techno-overload literature by integrating two competing perspectives and identifying one critical contingency to the influence of techno-overload, but also provides knowledge that can be used for technology, stress, and performance management in organizations. [ABSTRACT FROM AUTHOR]

ABSTRACT This study aimed to evaluate the crisis management plans in Saudi Arabian universities by identifying key challenges and obstacles. A cross‐sectional study was conducted among 473 faculty members. The participants completed a survey that included the university campus's existing crisis management plans, educational leaders' challenges in implementing effective crisis management, and a socio‐demographic checklist. Confirmatory factor analysis revealed that there are three critical areas that need attention: comprehensive crisis plans, designated crisis management teams, and regular drills and exercises. The model yielded a χ2 value of 236.18 with 84 degrees of freedom (df), resulting in a statistically significant outcome (p < 0.001). Among the key challenges and obstacles affecting crisis management performance in educational centres, as identified by faculty members, ensuring effective coordination and communication between different departments and stakeholders within the university, conducting regular evaluations and drills to test the crisis management plan's effectiveness and identify areas for improvement, and coping with emerging or evolving threats that require constant updates and adaptations to the crisis management plan need more attention, with factor load values of 0.92, 0.90 and 0.84, respectively. The findings indicated that, although universities had well‐documented crisis management plans and designated teams, significant gaps remained in their implementation, coordination and regular evaluation. The study underscored the importance of establishing robust communication frameworks, improving coordination among departments and stakeholders, and ensuring continual updates to crisis management plans. Finally, the study contributes to the literature by providing insights into the current state of crisis management in Saudi Arabian universities and offering practical recommendations for enhancing preparedness and resilience in the face of crises. [ABSTRACT FROM AUTHOR]

Background: Workers tasked with specific responsibilities around patient and public involvement (PPI) are now routinely part of the organizational landscape for applied health research in the United Kingdom. Even as the National Institute for Health and Care Research (NIHR) has had a pioneering role in developing a robust PPI infrastructure for publicly funded health research in the United Kingdom, considerable barriers remain to embedding substantive and sustainable public input in the design and delivery of research. Notably, researchers and clinicians report a tension between funders' orientation towards deliverables and the resources and labour required to embed public involvement in research. These and other tensions require further investigation. Methods: This was a qualitative study with participatory elements. Using purposive and snowball sampling and attending to regional and institutional diversity, we conducted 21 semi-structured interviews with individuals holding NIHR-funded formal PPI roles across England. Interviews were analysed through reflexive thematic analysis with coding and framing presented and adjusted through two workshops with study participants. Results: We generated five overarching themes which signal a growing tension between expectations put on staff in PPI roles and the structural limitations of these roles: (i) the instability of support; (ii) the production of invisible labour; (iii) PPI work as more than a job; (iv) accountability without control; and (v) delivering change without changing. Conclusions: The NIHR PPI workforce has enabled considerable progress in embedding patient and public input in research activities. However, the role has led not to a resolution of the tension between performance management priorities and the labour of PPI, but rather to its displacement and – potentially – its intensification. We suggest that the expectation to "deliver" PPI hinges on a paradoxical demand to deliver a transformational intervention that is fundamentally divorced from any labour of transformation. We conclude that ongoing efforts to transform health research ecologies so as to better respond to the needs of patients will need to grapple with the force and consequences of this paradoxical demand. [ABSTRACT FROM AUTHOR]

Currently, Indonesian ministries collectively score 71.30 in performance accountability, indicating a "BB" predicate. This suggests significant room for improvement within these ministries to meet world-class governance standards. However, a preliminary investigation reveals a lack of uniformity in the performance measurement frameworks employed by these ministries. Some ministries utilize the balanced scorecard (BSC), while others adopt a more straightforward mind map approach. This inconsistency in approaches may hinder Indonesia's journey towards worldclass governance. This paper's objective is to conduct a comprehensive literature review on performance management in the public sector, with a specific focus on government organizations, especially ministries. The aim is to develop a tailored performance management framework suitable for Indonesian ministry organizations. This endeavour draws upon established frameworks used globally by public sector entities. A rigorous literature review encompassed keywords such as performance management, public sector organization, and ministry organizations. This resulted in a pool of 249 papers from Scopus-indexed journals, of which 93 were comprehensively evaluated, leading to the synthesis of 40 articles for insights. This study scrutinizes the unique characteristics of ministry organizations in Indonesia, proposing a performance management system in alignment with these distinctive features. It also highlights the prevailing non-uniformity in performance measurement methodologies across ministries and their inadequacies in addressing internal organizational challenges. This research serves as a catalyst for the evolution of performance management, aligning it with governmental objectives. It stands as one of the pioneering studies delving into performance management systems within ministerial organizations, offering valuable foundations for future research and initiatives to enhance ministerial performance management and governance. [ABSTRACT FROM AUTHOR]

It is widely known that symmetry does exist in management systems, such as economics, management, and even daily life. In addition, effective and qualified decision-making methods can enhance the performance and symmetry of management systems. Hence, this paper focuses on a decision-making method. Linguistic interval-valued q-rung orthopair fuzzy sets (LIVq-ROFSs) have recently been proposed as being effective in describing decision-makers' evaluation values in complex situations. This paper proposes a novel multi-attribute group decision-making (MAGDM) method with LIVq-ROFSs to handle realistic decision-making problems. The main contributions of this study are three-fold. First, a new method for determining the weight information of attributes based on decision makers' evaluation values is proposed. Second, the classical TODIM is extended into LIVq-ROFSs and a new decision-making method is proposed. Third, our proposed MAGDM method is applied to a real decision-making problem to reveal its effectiveness. [ABSTRACT FROM AUTHOR]

In 2017, Yongji County, which is located in Jilin Province, China, was devastated by its worst floods for generations. Consequently, the people of Yongji County suffered losses due to both the natural disaster and the deficiencies of disaster management. The aim of this research was to evaluate the factors that influenced the experiences of victims to provide insights into the performance of disaster management. Statistical analysis was employed to describe the functions and role of disaster management in the 2017 Yongji County flood. The Logistic regression also was adopted to explore the association between the performance and outcomes of disaster management experienced by victims, and gender, age, profession, frequency of disasters, the efficiency of defense measures, the efficiency of rescue, the loss of property, the degree of normal life and productivity recovery, the satisfaction of governmental compensation, the degree of disaster information disclosure, the government attitudes, the mechanism of accountability, and public safety education. This paper is among the first studies to identify the factors that affect victims' perceptions in assessing the performance of disaster management hosted by local government. Hence, this research makes an important contribution in assisting policymakers and officers in local government to improve performance in dealing with natural and environmental disasters. [ABSTRACT FROM AUTHOR]

Louisiana Department of Transportation and Development (DOTD) pavement preservation program consists of various pavement preservation treatments, including single, double, and triple chip seals. Such treatments are applied mainly to collectors and local roads. Louisiana DOTD has spent substantial financial resources on various rehabilitation and maintenance treatments to minimize the pavement distresses and improve the pavement life. However, the effectiveness of any treatment largely depends on the time of treatment and trigger governed by treatment performance models. This study focuses on the performance evaluation of chip seal treatment on flexible pavements using the before and after treatment performance data. The treatment benefits in terms of remaining service life, service life extension, and treatment life were evaluated using the treatment transition matrix. Such analysis yielded effective treatment trigger values for each distress type. In addition, the before and after treatment data were utilized to develop IRI and transverse cracking prediction models for chip seal treatment on flexible pavements. [ABSTRACT FROM AUTHOR]

A pavement management system (PMS) is crucial to providing the best services for the transportation of freights and people while concerning the environment and waste management. The concept of circular economy has emerged in the PMS, especially in pavement materials. However, there has not been a holistic circular economy perspective into all phases of the PMS to date. The main aim of this study is to develop a PMS index under the umbrella of the circular economy concept. First, PMS phases are defined based on their relation to the circular economy. After that, circular economy indices are introduced for each PMS phase. Finally, a universal circular economy index is proposed using a weighted summation of indices introduced for each phase, and its application is presented through a case study. It is concluded that by applying the data required for circular economy assessment, each PMS can be evaluated using the proposed index. [ABSTRACT FROM AUTHOR]

Today's business systems are faced with an increased intensity of changes from the environment, growing complexity and increased competition, which affects the increase in the level of risk in all areas of management and execution of business processes. Therefore, Risk Management (RM) discipline and practice is increasingly applied in almost all types of business systems. RM is the systematic approach of identifying, estimating and reducing threats or uncertainties that may influence organizations. This article presents the proposed model for monitoring and managing business risks, including strategic and operational goals, organizational responsibility and management, business performance, internal audit and internal control, application of information systems and the success of business processes. The research was conducted on a sample of 387 respondents, employed in manufacturing and service companies. The research results show that organizations that accept the proposed model have a chance to successfully manage risks in their business processes. [ABSTRACT FROM AUTHOR]

Employees experienced both advantages and disadvantages while working from home during the COVID‐19 pandemic. Researchers have examined these impacts on women and those with caring responsibilities; however, little research has examined the impacts on other groups of employees, such as those with a disability or employed on a casual basis. In this article, we focus on the public sector and examine who gained and who lost while working from home, based on a 2020 survey of over 5000 Australian public servants. We have constructed loss and gain indices to measure three elements of a change model, which enables an evaluation of the impacts on various groups of employees. The elements of change management examined are operational areas, performance management, and beliefs and values. To analyse the factors affecting gains and losses, as summarised in the indices, we applied a statistical model estimated using linear regression methods. Our findings reveal that, on average, survey participants experienced a net gain. Families and employees with a disability gained; however, women gained less than men in the first two categories and gained more than men on the beliefs and values category. These findings highlight areas on which public service organisations need to focus as we enter a COVID‐normal era. Points for practitioners: The benefits and drawbacks of working from home differ according to employee demographics.Overall, lower level employees and those employed on a casual basis gained less than higher level employees and those employed full time.Women gained less than men in relation to how work was operationalised and performed.These differential impacts highlight areas on which public sector organisations need to focus in a COVID‐normal era. [ABSTRACT FROM AUTHOR]

This research paper investigates the effectiveness of a virtual reality (VR) game-based intervention using real-time biofeedback for stress management and performance among fire-fighting trainees from the Singapore Civil Defence Force (SCDF). Forty-seven trainees were enrolled in this study and randomly assigned into three groups: control, placebo, and intervention. The participants' physiological responses, psychological responses, and training performances were evaluated during specific times over the standard 22-week training regimen. Participants from the control and placebo groups showed a similar overall perceived stress profile, with an initial increase in the early stages that was subsequently maintained over the remaining training period. Participants from the intervention group had a significantly lower level of perceived stress compared to the control and placebo groups, and their stress-is-enhancing mindset was significantly increased before the game in week 12 compared to week 3. Cortisol levels remained comparable between pre-game and post-game for the placebo group at week 12, but there was a significant reduction in cortisol levels post-game in comparison to pre-game for the intervention group. The biofeedback data as a measurement of root mean square of successive differences (RMSSD) during the gameplay were also significantly increased at week 12 when compared to week 3. Notably, the intervention group had a significant improvement in the final exercise assessment when compared to the control based on the participants' role as duty officers. In conclusion, a VR game-based intervention with real-time biofeedback shows promise as an engaging and effective way of training firefighting trainees to enhance their stress mindset and reduce their perceived stress, which may enable them to perform better in the daily emergencies that they respond to. [ABSTRACT FROM AUTHOR]