Management Process Research Articles

How knowledge-based HRM practices affects aspects of innovation capability through knowledge management: the moderating role of innovative culture

Purpose Given the important of knowledge resource and human capital for improving innovation competence, the purpose of this study is to examine the influence of knowledge-based HRM practices on product and process innovation of firms via the mediating role of knowledge management capability and moderating role of innovative culture. Design/methodology/approach The paper used structural equation modeling and empirical data collected from 271 participants in 156 manufacturing and service firms to examine the level of how knowledge-based HRM practices and knowledge management affect product and process innovation under the moderating role of innovative culture. Findings The research findings confirm the mediating roles of knowledge management between knowledge-based HRM practices and two specific types of innovation namely product and process innovation. It also firstly reveals the positive moderating role of innovative culture in enhancing the effects of knowledge management on product innovation. The results underline the necessity of building an innovative climate and knowledge-based HRM practices to stimulate knowledge management for improving innovation capability of firms in the developing and emerging markets. Research limitations/implications The paper helps bring deeper insights to leaders and practitioners about the new knowledge-based approach that enhances innovation competence for organizations. Originality/value The paper significantly contributed to theoretical and practical initiatives on theory of HRM practices and knowledge management by showing different moderating and mediating mechanism thereby firms can follow to enhance innovation capability of firms in developing and emerging markets.

Abstract C007: Building capacity in health clinics and community organizations serving LGBTQ+ communities on tobacco prevention

Abstract Background. Tobacco use remains a significant public health issue, particularly among the LGBTQ+ community. Los Angeles County, which is home to the second-largest LGBTQ+ population in the US, has notably higher prevalence of tobacco use compared to the general population, partly due to targeted marketing by the tobacco industry, social stressors, and discrimination. These factors contribute to higher rates of smoking and tobacco-related health disparities; however, little is known about the capacity of community-based organizations, clinical providers, support staff, and other personnel that work closely with the LGBTQ+ community to provide smoking cessation services. Methods. Cedars Sinai Cancer Center Community Outreach and Engagement (COE) assisted in the facilitation of conducting a needs assessment, Clinical Provider and Staff Survey, to assess the opinions of clinical providers and community leaders about tobacco cessation-related topics related to 1) Building culturally competent tobacco cessation services; 2) Reducing health disparities in tobacco cessation services; 3) Improving access to care (Medicaid/Medi-Cal access and uptake) for diverse populations that are affected by tobacco-related disparities; 4) Improving the utilization of tobacco cessation services. The survey was administered online from December 2022 to April 2023 with providers throughout Los Angeles County. Results. A total of 261 surveys were collected which revealed several key issues at the organization level: they do not prioritize tobacco screening, treatment, or referrals; there is no standardized process for client management; staff have limited knowledge on tobacco prevention and patient navigation; and there is limited staff capacity and funding. To address organizational-focused barriers, COE trained 147 clinical providers and staff from 4 local health clinics and organizations and on capacity building, including the basics of tobacco, evidence-based interventions like "Ask, Advice, Refer," and lung cancer screening. Additionally, to address Client/Patient-Focused Barriers for Organizations, such as: lack of motivation to quit, low perception of the severity of smoking, and a lack of culturally competent or targeted cessation resources, COE staff assisted in navigating resources, ensuring both providers and clients were aware of and could access relevant support services. This involved sharing LGBTQ+ affirming resources, including medical care, behavioral health, and housing, and referred smokers to gender-affirming cessation support groups. Conclusion. The survey highlighted the need to enhance service delivery and support for the LGBTQ+ community. With these findings, our COE staff were able to increase organizational capacity through training and education for clinical providers and staff to enhance their knowledge and skills in tobacco cessation and share gender-affirming resources and navigation, which are crucial towards improving the overall effectiveness of tobacco cessation services for LGBTQ+ populations. Citation Format: Victor Cristanto, Alexandra Caro, Reener Balingit, Zul Surani. Building capacity in health clinics and community organizations serving LGBTQ+ communities on tobacco prevention [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C007.

“I’m Spoon-Feeding Him My Trauma”: An Analysis of Sexual Assault Survivors’ Ongoing Privacy Management in Romantic Relationships

ABSTRACT For survivors of sexual assault, navigating privacy boundaries can be challenging. Communication privacy management theory posits privacy and disclosure as a dialectical tension. As boundaries are negotiated, breached, and renegotiated, people are faced with examining the roles ownership, control, and turbulence play when regulating their private information, particularly around the highly sensitive topic of sexual assault in a romantic relationship where the relational risk is high. Through qualitative, semi-structured interviews (n = 21) and a phronetic iterative approach to data analysis, we examined the ongoing privacy management of survivors of sexual assault in romantic relationships. The results of this study offer insight into the ways participants controlled their personal information through the privacy management process and the effects of incongruent privacy management on participants, their partners, and the relationship.

Supply chain risk management (SCRM) process: an analysis in the aerospace industry

PurposeThe study analysed the aerospace industry, a traditionally important sector for the topic of risk management, from three complementary perspectives: the supply chain risks present in the sector, the mitigation strategies adopted to face them, and the characteristics (dimensions) observed in the SCRM process of aerospace companies.Design/methodology/approachThe research employed a quali–quantitative method: a survey was carried out, followed by interviews with professionals from companies belonging to different tiers of aerospace supply chains. Interviews helped to interpret the survey data and understand in more detail risk management in aerospace companies.FindingsThe study presents a panorama of the aerospace industry in terms of risk management. The sector’s turbulent environment is described as well as the strategies to prevent, minimise or postpone the impact of supply chain risks. In particular, ten dimensions that have been identified in the SCRM process of aerospace firms are discussed. These characteristics influence the objectives of this process and are related to resources, roles and responsibilities, incentives, development of competences and skills, scope (internal and external) and approaches to integrate decisions and actions in the context of the supply chain.Originality/valueArticles that address the SCRM process usually focus on the process steps, whereas this study investigated dimensions that transcend these steps but whose discussion in the literature is still fragmented. It also analysed a reference sector for the topic from a broader perspective than others available in the literature (supply chain risks, mitigation strategies and characteristics of the SCRM process). Supply chain members with relationships with each other were investigated, a desirable approach for SCRM but still under-explored. The study also answers calls for industry-specific studies and research on emerging countries.

New Methods of Project Management Based on Web Environment

One of the main challenges of management in today's era, is to adjust organizations to the speed of changes in the business world. Rapid changes in technologies and working tools, continuous changes in market conditions, unpredictable fluctuations in prices, continuous changes in customers' tastes, etc. are factors that make decision-making and management difficult for organization managers. In such a situation, the delay in the implementation and delay in the exploitation of any of the organization's business goals can lead to the loss or serious reduction of the organization's expected benefits from this business goal. One of the issues in project-oriented organizations is that the planning of each project may include thousands or tens of thousands of activities, each activity contains different information in terms of physical, time and financial progress; Therefore, one of the new methods of project management is the use of intranet, extranet and internet environments in project management. This research examines new methods of project management based on web environments. The results of the research show that in the project management process, using the web environment, project and non-project processes of organizations and companies can be organized. It also controlled the management of teams and teamwork well.

Investigating the Impact of Process Parameters on Bead Geometry in Laser Wire-Feed Metal Additive Manufacturing

Laser wire-feed metal additive manufacturing (LWAM) is an innovative technology that shows many advantages compared with traditional manufacturing approaches. Despite these advantages, its industrial adoption is limited by complex parameter management and inconsistent process quality. To address these issues and improve geometric accuracy, this study explores how process parameters influence bead geometry. We conducted a parameter study varying laser power, wire feed rate, traverse speed, and welding angle. Using a full factorial design with a central composite design methodology, we assessed bead height and width. This allowed us to develop a model to estimate ideal process parameters. The findings offer a detailed analysis of parameter interactions and their effects on bead geometry, aiming to enhance geometric accuracy and process stability in LWAM. Moreover, we have evaluated the proposed process parameters from our developed model, which showed a significant enhancement to the overall quality. This was validated via printing a single layer and multi-layer structures. The quality of the final predicted sample using the proposed method was improved by 40% compared to the best sample produced for the Design of Experiment trials.

Improved YOLOv5m model based on Swin Transformer, K-means++, and Efficient Intersection over Union (EIoU) loss function for cocoa tree (Theobroma cacao) disease detection

The cocoa tree is prone to diverse diseases such as stem borer, stem canker, swollen shot, and root rot disease which impedes high yield. Early disease detection is a critical component of diverse management processes that are implemented throughout the life cycle of cocoa plants. Consequently, several studies on the application of detection techniques to recognize diseases have been proposed by several researchers. This study proposes the YOLOv5m network for cocoa tree disease detection. The development of cocoa disease detection systems will aid farmers in early identification prompt response, and efficient management of related cocoa tree diseases which will ultimately increase yield and sustainability. To improve the performance of the YOLOv5m network, a Swin Transformer (Swin-T) was added to the backbone network to improve cocoa tree disease detection accuracy. By obtaining global information, the K-means++ algorithm was added to modify the choice of initial clustering locations, and Efficient Intersection over Union Loss (EIoU) was used as a bounding box regression loss function to speed up the bounding box regression rate, resulting in higher precision of the YOLOv5m network. The experimental assessment outcome of this study showed that the proposed method YOLOv5m (Swin-T, K-means++, EIoU) achieved 96% precision, mAP of 92%, and recall of 94%. Compared to the original YOLOv5m, precision improved by 5%, mAP improved by 6%, and recall by 5%. Comparing the proposed method to the conventional YOLOv5m, the latter showed improved performance and better accuracy with a high detection speed and compactness. This improvement offers a useful and effective method for detecting diseases related to cocoa trees.

Flash Floods Hazard to the Settlement Network versus Land Use Planning (Lublin Upland, East Poland)

There has been an increase in the frequency of hazards associated with meteorological and hydrological phenomena. One of them is flash floods occurring episodically in areas of concentrated runoff—valleys without permanent drainage. In the opinion of residents and local authorities, these are potentially safe areas—they are not threatened by floods and are therefore often occupied by buildings. The importance of addressing flash floods in land use planning is essential for sustainable development and disaster risk reduction. The objective of this research was to assess the level of the hazard and to evaluate its presence in land use planning activities. This manuscript fills a research gap, as to date flash flood threats have not been analyzed for individual buildings located in catchments of dry valleys in temperate climates. More than 12,000 first-order catchments were analyzed. The study covered an upland area located in East Poland, which is characterized by high population density and dispersed rural settlement. Within the 10 municipalities, buildings located on potential episodic runoff lines were identified. Qualitative assessment was applied to ascertain the susceptibility of catchments to flash floods. Such criteria as slopes, size, shape of the catchment area, and land cover, among others, were used. Between 10 and 20% of the buildings were located on episodic runoff lines, and about 900 sub-catchments were highly or very highly susceptible to flash floods. The way to reduce the negative effects of these phenomena is to undertake proper land use planning based on knowledge of geohazards, including flash floods. However, an analysis of available planning documents shows that phenomena of this type are not completely taken into account in spatial management processes.

The Role of Organizational Culture on Knowledge Management and Green Innovation in Private Universities

Innovation for sustainability in private universities has emerged as a crucial area of research globally. The existing literature highlights the significance of organizational culture, knowledge management, and green innovation in achieving sustainability goals. This study aims to determine the influence of organizational culture on knowledge management and green innovation in private universities located in LLDIKTI Region II. A cross-sectional research design was employed, with data collected via questionnaires from a sample of 305 respondents from private universities in LLDIKTI Region II. The data were analyzed using the Smart PLS structural equation model to test the proposed hypotheses. The findings of this research align with human resource-based theory, which posits that organizational sustainability is determined by the strength of its internal resources. The results confirmed that organizational culture significantly influences knowledge management (Hypothesis 1) and green innovation (Hypothesis 2) in private universities within the specified region. The study also underscores that private universities function as quasi-public organizations that blend business principles with a social approach to meet community needs while maintaining high competitiveness in a globalized world. This research contributes to the body of knowledge by examining the multidimensional relationship between knowledge management processes, organizational culture, and green innovation in private universities. By exploring these interconnections, the study provides valuable insights for enhancing sustainability and competitiveness in higher education institutions. The study concludes that a strong organizational culture is essential for fostering effective knowledge management and promoting green innovation in private universities. Future research could expand the sample size and incorporate additional variables, such as organizational commitment, to deepen the understanding of the dynamics at play.

Improving the anaerobic digestion of sewage sludge by adding cobalt nanoparticles

ABSTRACT This work evaluated the effects of cobalt nanoparticles (CoNPs) (0.025–7 mg/gVS) on the intensification of sewage sludge anaerobic digestion (AD) using biochemical methane potential (BMP) tests. This study was motivated by the need to improve the efficiency and stability of anaerobic digestion of sewage sludge, a critical process in waste management and renewable energy production. The effects at doses less than 2 mg/gVS were not substantial, but 3–7 mg/gVS improved the performance. The maximum biogas yield was 232 mL/gVS (at a dose of 7 mg/gVS), whereas it was 132 mL/gVS in the control (zero dose). Similarly, the reductions in the volatile solids and methane contents reached maxima of 16 and 74.3%, respectively. The analyses of volatile fatty acids, redox potential, and electron transfer system activity indicated that the addition of CoNPs stimulated the early stages of AD. Finally, acetate consumption and the increase in CH4 content suggested that CoNPs positively affected system stability and acetoclastic methanogenesis. That is, CoNPs effectively intensified the behaviour and stability of the anaerobic process. The novelty of this research lies in the comprehensive evaluation of the effects of CoNPs across a wide range of doses on sewage sludge AD, providing new insights into the optimisation of this process for increased biogas production and organic matter reduction.

Improving QoS Management Using Associative Memory and Event-Driven Transaction History

Managing modern, web-based, distributed applications effectively is a complex task that requires coordinating several aspects, including understanding the relationships among their components, the way they interact, the available hardware, the quality of network connections, and the providers hosting them. A distributed application consists of multiple independent and autonomous components. Managing the application involves overseeing each individual component with a focus on global optimization rather than local optimization. Furthermore, each component may be hosted by different resource providers, each offering its own monitoring and control interfaces. This diversity adds complexity to the management process. Lastly, the implementation, load profile, and internal status of an application or any of its components can evolve over time. This evolution makes it challenging for a Quality of Service (QoS) manager to adapt to the dynamics of the application’s performance. This aspect, in particular, can significantly affect the QoS manager’s ability to manage the application, as the controlling strategies often rely on the analysis of historical behavior. In this paper, the authors propose an extension to a previously introduced QoS manager through the addition of two new modules: (i) an associative memory module and (ii) an event forecast module. Specifically, the associative memory module, functioning as a cache, is designed to accelerate inference times. The event forecast module, which relies on a Weibull Time-to-Event Recurrent Neural Network (WTTE-RNN), aims to provide a more comprehensive view of the system’s current status and, more importantly, to mitigate the limitations posed by the finite number of decision classes in the classification algorithm.

A Comprehensive Study of the Impact of Organizational Culture on HR Management Practices

Background: Recruitment, training and performance management are central processes in Human Resource Management (HRM) for organizational performance. Organizational Culture (OC) also determines these practices based on the nature of hiring, career development, and employee retention. It is essential to have a clear understanding of the relationship to gain the biggest benefits for HRM strategies and organizational results. Aim: Thus, the current research examines how OC affects HRM practices such as RP, TD, PM, EE, RR, and CR. It is desired to identify how OC influences HRM practices and offer recommendations that can help to improve the HRM practices. Method: A questionnaire survey was conducted among 250 respondents using a structured 5-point Likert scale. The survey was based on demographic characteristics and evaluated the OC influence on RP, TD, PM, EE, RR, and CR. The study employed the PLS-SEM technique and T-test with the CFA and psychometric tests to check for reliability. Results: A strong correlation between OC and human resource management practices was established. OC impacted the approach to attracting employees, selecting and developing training programs, assessing performer appraisals, motivating employees, deciding on retention strategies, and handling conflict. These observations show that OC has a strong impact on the range of HRM practices. Conclusion: It is important to understand that organizational culture is an influential component that affects HRM practices. Positive OC affects the ability to attract, develop, manage, engage, retain, and resolve conflicts with employees. The PLS-SEM approach was useful in analysing these relationships and enhancing the HRM strategies with regards to organizational culture.

Citizen participation in public management processes, Puno Case, Peru

In crisis situations, it is essential to increase representative democracy by structuring communities as tools to encourage citizen participation. For this reason, the research aimed to understand the reality of citizens and the processes of citizen participation mechanisms during the national crisis. It was a qualitative study that was based on phenomenological hermeneutics and identified six community leaders who are social actors in the city of Puno. The results demonstrated that the role of the community leader as an expression of the emotions of all citizens and the importance of community organization as a means of citizen participation are crucial to advance towards the construction of a strong and popular democracy. In conclusion, it is essential to have citizen participation mechanisms in times of crisis, as they allow communities that have traditionally been neglected to be heard and given a voice.

Knowledge management process and worker’s performance: role of smart technology and training/ skill development

The objectives of this study are to examine the impact of Knowledge management process on worker performance in Hail health cluster, to inspect the mediating role of smart technologies between Knowledge management process and worker performance. Further, to explain the importance of training/skill development as moderator between use of smart technologies and worker performance in the context of Hail health cluster Saudi Arabia. This study is quantitative in nature and data is collected with the help of well-developed questionnaire randomly from 302 employees working in different hospital in Hail health cluster. Smart PLs is used, for analyzing the PLS-SEM of conceptual framework. After the Analysis, this study found positive and significant relationship of knowledge management process (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Further, smart technologies play important role in enhancing the worker performance directly and also play mediating role between of knowledge management process (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Moreover, training/skill development has positive moderating role between smart technologies and worker performance. This study not only has theoretical and empirical implications but its practical implication, this study provides the open horizon for utilization, sharing and acquisition of knowledge for increasing the performance of worker in healthcare sector. Further, this study explains the smart technology mediating role to link these variables. Moreover, it is considered that training/skill development is important for utilization smart technologies for enhancing the performance of healthcare workers. Overall, this study is very beneficial for the ministry of health, administration and policy makers for development of this heath sector by boost up the productivity of employee. This study is very important in the context of health cluster of Hail. With the best of authors’ knowledge this study is one of the initial studies related to unveil the impact of knowledge management process with its important dimension such as (knowledge sharing, knowledge acquisition and knowledge utilization) with worker performance. Further smart technologies are mediator and training/ skill development is moderator.

Food waste management practices in restaurants: how to prevent and reduce food waste?

Restaurants produce significant food waste, which has major negative environmental, social, and economic impacts. Therefore, the prevention and reduction of food waste in restaurants needs to be planned, using appropriate management practices for the different stages of the process. The review will increase the understanding of food waste prevention and reduction, the stages of the management process, and the management practices involved. The results show that management practices are particularly related to menu planning, sourcing, preparation, serving, and customer service. In addition, the review identifies systematic management as an essential element in preventing food waste. However, achieving the objectives set will require raising the level of skills and integrating circular economy thinking into management practices. The suitability of management practices also depends on the geographical context, which is why more research on this topic is needed in Finnish restaurants.

“AI Can’t Steal My Soul”: In the Age of AI, the Human Touch is Paramount for the Craft of Managing Change

Artificial intelligence (AI) models are increasingly adopted as tools to enhance change management processes. Although many change managers are excited about AI's potential, others worry that their contributions may become obsolete. We explore the tension between job augmentation and automation and how it affects change management professionals. We argue that change managers need to approach their profession as a context-sensitive craft. We highlight elements that are likely to become increasingly central for change managers’ success: (a) high-level skills—relational mastery and systems thinking—and (b) the continued development of specific attitudes—authentic dedication and communal co-presence. In contrast, other tasks that change managers were previously engaged with (e.g., routine communication, reporting) will play a smaller role in the future. We advocate for approaching change work as an AI-augmented craft and call for a critical reflection of the skills and attitudes necessary to effectively diagnose, envision, and mobilize change in the age of AI.

Optimalisasi Penggunaan Human Resource Information System (HRIS) pada Human Capital Administration of The Foundation

The Foundation is a non-profit organization that focuses on education and empowerment of women in micro-enterprises (MSMEs). The Foundation has several community activity programs such as scholarship programs, batik learning houses, learning house programs for underprivileged community groups, etc. Community Service Activities carried out by STIE Trisakti at The Foundation aim to help organizations improve the accuracy and completeness of data on the HRIS (Human Resource Information System) used by The Foundation so that the process of managing Human Resource (HR) management activities becomes more efficient and appropriate. The STIE Trisakti Community Service Team together with The Foundation team carry out activities to apply management science, especially human resource management, to optimize the use of HRIS as a solution for managing organizational HR by updating employee data through the process of collecting the latest employee data and filling out employee data update forms continuously. The use of HRIS in routine activities is the responsibility of the HC administration unit so that the available data is accurate and can minimize errors that generally occur in the process of organizational HR management activities. Accurate employee data information is an important part of the HR management process to achieve efficiency and effectiveness in achieving success goals.

Where has hydrogeologic science been, and where is it going? Research trends in hydrogeology publishing over the past 60 years

AbstractQuantifying historical research trends in the field of hydrogeology is not only generally informative for hydrogeologists but is essential for fostering interdisciplinary collaboration and assessing the relationship between academic study and societal interests in hydrogeologic issues. To address this, a topic model was applied to over 37,000 academic abstracts published in over 20 journals between 1963–2022 in the field of hydrogeology to study the evolution of topic trends through time. Model results were fed into the popular large-language model ChatGPT to assign topic names, representing an unsupervised method. The results indicate that, historically, popular topics related to methodological development and analytical and numerical models analytical and numerical methods in groundwater flow modeling and well hydraulics have given way to topics related to more increasingly complex models (groundwater monitoring and uncertainty estimation and groundwater modeling calibration and simulation) as data and computational capability becomes increasingly available. An insight into the period of boom-and-bust in contaminant hydrogeology is reflected by a shift in focus from topics related to assessment and characterization of contaminant sources toward topics related to degradation and remediation methods. Topics of emerging prevalence (sustainable groundwater resource management, catchment hydrology and runoff processes) in the current period reflect an increasing focus on treating the surface-water/groundwater system as a single system. In addition, results suggest that topic distribution within the field of hydrogeology has become more varied as time has progressed.

The Application and Significance of Autonomous Driving Technology in Industrial Production

In this study, we first gave an overview of autonomous driving technology and focused on its application in industrial production. By analyzing the types and characteristics of autonomous driving technology, we introduced key types such as unmanned vehicles, automated robots, and drones in detail. Subsequently, this paper selected three specific application cases of logistics transportation, warehouse management, and production process automation to deeply analyze the actual application effects of autonomous driving technology in industrial production. In addition, this paper also explores the significance of autonomous driving technology in the industrial production process and its impact on industrial production efficiency and cost. The study found that the application of autonomous driving technology can not only improve production efficiency, but also significantly reduce operating costs. Through this study, we hope to provide theoretical guidance and practical reference for the application of autonomous driving technology in the field of industrial production in my country.

Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review

The aim of this paper was to analyse the current applications of Artificial Intelligence in professional development and talent management within the corporate world with a focus on corporate training. By means of a Systematic Literature Review based on the PRISMA 2020 reporting criteria this paper highlights the current applications of AI along with the main benefits and drawbacks associated with its implementation. The findings show that AI is being used to enhance recruitment processes, to identify individual training and development skills and needs, to develop personalised training paths, to retain talent and predict attrition, and to detect future workforce skills development needs. It has been outlined that there is a need for automated talent management processes within companies and that talent intelligence should be implemented along with facing the challenges this will entail, such as minimising the risk of bias and hiring high-skilled qualified personnel.