Management Domain Research Articles

Optimizing The Efficiency And Cost Of Enterprise Logistics Warehouse: From The Perspective Of Green Supply Chain Management

The aforementioned findings possess considerable ramifications for both research and application within the domain of logistics management. Nonetheless, this investigation is not without its constraints. Initially, the implementation of a questionnaire survey could potentially yield subjectivity and recall bias. Furthermore, the utilization of non-probability sampling technique could impede the degree of representativeness within the sample population. Furthermore, this research centered exclusively on logistics warehouses situated in China, thereby constraining the potential applicability of its conclusions to dissimilar geographical domains and sectors. Subsequent research endeavors ought to assess the aforementioned constraints and delve deeper into additional variables that impact the effectiveness and monetary aspects of logistics warehouses. Moreover, a deeper analysis is imperative pertaining to the efficacious execution of green supply chain management and sustainable development tactics in real-world scenarios, with the objective of enhancing the operational output and ecological stability of logistics depots. In summation, this research offers noteworthy insights that are beneficial for the logistics management discipline, and it delineates avenues for forthcoming investigations and potential research advancements. By means of ongoing research and practical implementation, the promotion of sustainable development pertaining to logistics warehouses can be facilitated, ultimately bolstering the creation of ecologically-responsible supply chains.

Social-aware energy management in D2D communications

The rapid evolution of cellular networks (4G and 5G), has led to an unprecedented increase in network traffic, driven by both the growing number of mobile users and the escalating data consumption per user. This surge significantly impacts energy consumption and quality of service (QoS). Device to Device (D2D) communication technology has emerged as a promising solution. However, D2D communication encounters substantial challenges, particularly in the domain of energy management. This paper presents a novel social-aware framework designed to address the energy management challenges in D2D communications. It explores how users' social network characteristics can optimize D2D communication for enhanced energy efficiency. The framework includes two innovative methods, SOCICHS and SOCICF, specifically developed for cluster head selection and cluster formation. These methods seamlessly integrate both social and physical information to facilitate energy-efficient D2D communication. Additionally, we propose a comprehensive model for D2D communication management within this framework. To evaluate the effectiveness of the approach, extensive experiments were conducted, involving a maximum population of 1200 users and the consideration of various coefficient values (τ1, τ2). The use of the GOWALLA dataset revealed an average energy efficiency improvement of 25 % and 31 % when compared to base scenarios. Likewise, the analysis of the BRIGHTKITE dataset showed energy efficiency enhancements of 23 % and 32 %. These findings reveal the significant impact of social-aware clustering on energy management within D2D communications. Moreover, the integration of physical features, such as distance, into the framework demonstrated its additional value in achieving efficient energy consumption.

Empowering Sustainable Growth and Workforce: Unveiling Challenges and Strategies for Retaining Community Pharmacists in Malaysia.

Community pharmacists face challenges in job retention due to compensation, work-life balance, and career growth concerns. With pharmacists' evolving roles in healthcare, retaining them becomes crucial for maintaining quality service. Addressing their needs is vital for a skilled healthcare workforce. This study evaluates job retention among community pharmacists, considering various workforce management domains and demographic characteristics. A cross-sectional study was employed with a self-administered questionnaire among community pharmacists in Kuala Lumpur and Selangor, Malaysia. Spearman's correlations and ordinal logistic regression analysed job retention relationships with workforce domains and predicted the demographic characteristics. A total of 414 participants attempted the survey, of which 311 completed the study. Strong correlations linked job retention with value, trust, and work-life balance. Female pharmacists had higher retention odds, while younger pharmacists had lower retention odds. Pharmacists with over 10 years of experience showed higher retention odds. 'Value and trust' and 'work-life balance' were pivotal for the job retention of community pharmacists. Strategies boosting value, trust, and work-life balance was vital. Gender, age, and experience also predicted job retention. Cultivating trust, valuing contributions, and providing a work-life balance can enhance job retention and commitment.

Automated Detection of Social Conflict Drivers in Civil Infrastructure Projects Using Natural Language Processing

Early detection and mitigation of social conflict in civil infrastructure projects is essential due to its significant impact on project performance and social governance. Nevertheless, there is no scientific system for monitoring conflict drivers in a timely manner in practice. Furthermore, previous studies of social conflict in the civil engineering and management domains have relied on manual literature reviews and case studies. Although these qualitative approaches have provided context-specific insights, they are limited in their generalizability and broad perspectives. Against this backdrop, this study presents an automated process for detecting conflict drivers from news articles using ChatGPT. The authors collected news articles related to civil infrastructure projects implemented in the Republic of Korea using web crawling. Then, ChatGPT was used to extract conflict-related keyphrases from the article collections and classify the keyphrases into predefined conflict drivers. The result showed a notable performance with a micro average F1-score of 85.7%. Moreover, the authors confirmed the validity of the keyphrase extraction and classification results through two illustrative case studies. The proposed process and methods contribute to facilitating data-driven conflict management. Although this study focused on conflict drivers of public infrastructure projects, other types of information extraction tasks can benefit from the presented framework.

The Impact of Job Training on Recruitment and Employability Skills Among Graduates

Purpose: The aim of the study is to examine the impact of job training on recruitment and employability skills among graduates by utilizing the self-perceived employability scale. Theoretical framework: the study is based on the evidence from the literature, we provide valuable insights through a literature review into the significance of job training for graduates in terms of recruitment and employability skills. Design/methodology/approach: This study used a sample of 190 graduate students who underwent job training with a specific company. Employability was measured by descriptive analysis using SPSS to assess questionnaire stability. The analysis also utilized Partial Least Square-Structural Equation Modeling (PLS-SEM) through the Smart-PLS 4.0 program. Findings: The findings of this study indicated a positive and significant relationship between job training and employment within the same company. This suggests that graduates who received training courses in their final year showed increased interest and likelihood of obtaining employment within the training company. Additionally, a significantly positive impact was found of job training on employability, highlighting the contribution of job training to the development and enhancement of employability skills among graduates. Research, Practical & Social implications: The results of this study strengthen employability skills among graduates, which holds implications for graduates seeking employment and organizations designing training programs to improve recruitment outcomes and employability skills within a company. Originality/value: The research value of this study is that it can positively grow the management and business domain, it has beneficial effects on both employed and unemployed individuals, with a greater impact on increasing employment opportunities for the unemployed.

Predictive Control of a Real Residential Heating System with Short-Term Solar Power Forecast

Predictive control has great potential in the home energy management domain. However, such controls need reliable predictions of the system dynamics as well as energy consumption and generation, and the actual implementation in the real system is associated with many challenges. This paper presents the implementation of predictive controls for a heat pump with thermal storage in a real single-family house with a photovoltaic rooftop system. The predictive controls make use of a novel cloud camera-based short-term solar energy prediction and an intraday prediction system that includes additional data sources. In addition, machine learning methods were used to model the dynamics of the heating system and predict loads using extensive measured data. The results of the real and simulated operation will be presented.

A Systematic Review for Switchgear Asset Management in Power Grids: Condition Monitoring, Health Assessment, and Maintenance Strategy

Asset management process and techniques can improve the cost-efficiency, balance the cost and risk, and prolong the service life of the aging switchgears in power grids, which have become increasingly important for electric utilities. This paper provides an insight into the recent developments in switchgear asset management and explore future research stream. Accordingly, three directions: condition monitoring, health assessment, and maintenance strategy have been addressed. We first present switchgear condition monitoring indicators and condition evaluation methods utilizing these condition data. Subsequently, we explain health index methodologies to achieve switchgear health assessment and remaining useful life estimation. With these results, we then present the maintenance strategy and life cycle cost optimization methods to address cost-efficient decision making. Finally, the limitation of existing methods and future research trend are discussed. This paper covers various asset management domains, attempting to create a common understanding and fill the gaps among the academic, industry, and technology area.

Theoretical and Empirical Models of Organizational Learning Processes in Knowledge Management

Introduction. This study undertakes a comprehensive exploration of existing instructional organizational models, spanning various disciplines within contemporary educational theory and knowledge management practice. The core objective is to propose an all-encompassing model tailored specifically to the preparation of future educational managers. This model places a significant emphasis on integrated educational strategies, further enriched by the integration of organizational learning processes in the context of knowledge management.
 Aim and tasks. This study critically examines established models of organizational learning processes with the goal of developing a tailored model for training future educational managers. The goal is to equip aspiring educational managers with integrated didactic skills based on analyses of existing educational models that include concept analysis, model evaluation, and theoretical framework establishment.
 Result. Organizational learning principles drive data-driven refinement, collaborative cross-disciplinary strategies, and leadership development. Sharing best practices enhances strength, whereas iterative feedback processes mitigate its limitations. This dynamic framework encourages adaptable education, fostering continuous improvement in teaching methods, curricula, and managerial training for a sustained educational evolution. Leveraging insights from existing models, the primary aim is to establish an instructional framework that seamlessly integrates a diverse range of content. Notably, the suggested model for training educational managers integrates teaching methodologies, character development, and methodological support for cultivating cultural learning skills, all underpinned by organizational learning processes within the domain of knowledge management. Furthermore, this integrated model incorporates progressive learning objectives that progressively increase in complexity and span the methodologies and resources employed to ensure effective learning outcomes based on comprehensive feature assessment techniques that gauge understanding and competencies.
 Conclusions. This study navigates the landscape of models, culminating in the proposal of an integrated framework that caters to comprehensive aspiring training. This model facilitates the harmonious amalgamation of various subjects, and proficiencies introduce organizational learning processes within the domain of knowledge management. By fostering a multidisciplinary and holistic approach, this model equips future educators with the multifaceted demands of modern primary education while adequately managing knowledge within their organizational contexts.

Fostering Intelligence and AI by an Operational Wisdom and Artificial Wisdom (AW)

Especially in the domains of business and management, it is vital that Intelligence as well as AI are to be taken good care of , directed and controlled by Wisdom inclusive by Artificial Wisdom :AW. This requires that Wisdom and Artificial Wisdom are made operational. In the past Wisdom received a lot of attention. The last decennia enormous efforts and investments was made on intelligence and AI. Scientific research and attention on wisdom was minimal. A lot of components of wisdom were elaborated in the Sumerian Mesopotamian cultures , in the Indian , Chinese Persian, Grec, Roman, Islamic cultures… These components of wisdom have still a lot of relevance. Only they have to be made operational in view of todays challenges, needs, requirements …. From the large set of historical wisdom approaches ( possible targets of other attempts for making them more operational), we overview, the Sumerian conflict resolution, the Illeism wisdom approach and the innovation approach within the Wisdom fractal frame (WFF) in view of elaborating an operational wisdom and artificial wisdom (AW).

Lessons learned from applying model-driven engineering in 5 domains: The success story of the MontiGem generator framework

We report on our success stories in developing and using Model-Driven Engineering (MDE) tools for information systems on real-world projects within different application domains. It is necessary that we ensure the extensibility and adaptability of code generators if we want to reuse them for different domains. Up to now, research on reusing software has been mainly conducted in the software product line community but rarely discussed in the context of code generators. This paper introduces the generation framework MontiGem and shows how it has been used and evolved within five different research and industry projects in the domains of financial management, IoT, energy management, privacy policy, and wind turbine engineering. We have developed the code generator within the first project and further refined it with each of the following projects. This paper describes the projects, shows how MDE helped us in the software engineering process, and discusses the lessons we learned. These examples show how MDE techniques can be successfully applied to the development of information systems in practice, although further requirements have been met over time.

SCIENTOMETRIC REVIEW OF SMART WATER MANAGEMENT LITERATURE FROM THE SUSTAINABLE DEVELOPMENT GOAL PERSPECTIVE

Water is essential to human survival; however, many people, particularly those in poorer countries, lack access to reliable sources of clean and safe water. Despite decades of effort to address this issue, water sustainability remains elusive even today. Smart technologies have been widely adopted for water management, rendering smart water management a promising path to achieving water sustainability. Nevertheless, the efficacy of such smart water management in attaining sustainability remains unclear. This study aims to investigate the progress made in pursuing water sustainability with smart water management through a scientometric literature review. The Scopus database was employed to extract a pool of 460 candidate publications, which were then analyzed for content using bibliometric analysis and VOSviewer software. Nine clustered research themes were classified, corresponding to the nine targets of sustainable development goals (SDGs) for water. The findings show that engagement across these topics is highly unequal, providing substantial guidance on where emerging research efforts should be concentrated. The novelty of this study mainly lies in the SDG perspective that provides a significant but overlooked angle for observing progress in smart water management domain. The findings can enlighten the international water industry to create a more favorable environment for regions lagging in using smart technologies to facilitate overall water sustainability.

Penetration of Blockchain Technology in Healthcare Management Domain: Challenges and Opportunities

Blockchain technology (Btech) is one of the new technologies in healthcare management domain. Challenges and opportunities are closely related to the usability of the technology. The study aims to evaluate penetration of the technology in healthcare management domain. Web of Science database was utilized to obtain publications. The publications were subjected to various analyses in the R environment. The parameters were handled within the framework of the values provided with biblioshiny package. The ggplot2 package was used for data exploration and visualization. According to the findings, Btech has been discussed in the context of the management of electronic health records. Prominent key concepts and thematic map revealed that the technology could be a potential tool in the management of health records. While privacy, security, complexity, and sustainability stand out as the main challenges; active patients, management of health records, quality and reliability of clinical trials, and its use in monitoring and procurement processes in the pharmaceutical industry stand out as opportunities. In general, Btech is a brand new paradigm in the management of health data, and in this respect, it can make important contributions to healthcare management from the perspectives of patients, providers, and payers.

A multisectoral and multidisciplinary endeavor: a review of diabetes self-management apps in China

BackgroundWhile the use of self-management apps has considerable promise to efficiently reduce the diabetes burden that disproportionally affects low- and middle-income countries (LMICs), and the multisectoral and multidisciplinary approaches have been encouraged to be used in diabetes management, little is known about the status of the integration of these approaches in the existing diabetes self-management apps. This review examines the diabetes apps in China as an indication of the current status of integrating multisectoral and multidisciplinary approaches in diabetes mHealth care in LMICs. MethodsEligible diabetes apps were searched on major Chinese app stores up to December 23, 2022. The app comprehensiveness index (ranging 0–80) regarding the app functions and diabetes management domains was created. The multisectoral and multidisciplinary features were summarized using indices derived from current guidance. ResultsSixty-six apps were reviewed, all developed by private companies. The average comprehensiveness score was 16, with many major self-management domains and functions not represented among the reviewed apps. Forty apps (61%) involved multiple sectoral entities, with public/private and private/private collaborations being the most common collaborative combinations. Thirty-seven apps (56%) involved multiple disciplines, among which endocrinology/metabolism, nutrition, and cardiovascular medicine were the top three most common disciplines. Compared to non-multidisciplinary apps, multidisciplinary apps tended to provide more comprehensive services in apps (6.14 vs. 5.18, p = 0.0345). Different sectors and disciplines tended to work independently, without robust interactions, in providing diabetes management services in the reviewed apps.ConclusionMultisectoral and multidisciplinary features has presented in the current diabetes self-management apps in China; however, it is still in its infancy and significant limitations existed. More engagement of civil society organizations and community groups and innovative collaborations between sectors and disciplines are needed to provide comprehensive, continuous, and patient-centered mHealth care for patients with diabetes in LMICs like China. Clear guidance for integrating and evaluating the multisectoral and multidisciplinary efforts in self-management apps is necessary to ensure the effective use of mHealth solutions for diabetes management in LMICs.

Evaluating COVID-19 Response Within a Tribal Health Care Organization.

Health care organizations of all types have adapted in response to COVID-19. Responding to the pandemic has varied across organizations and there are few standardized frameworks from which to evaluate an organizational response. This article reports COVID-19 responses by a tribal health care organization using a synthesized evaluation framework that integrated the organizational values and allowed for timely implementation of responses during this COVID-19 public health emergency. The authors categorized each COVID-19 response into six domains, including leadership practices, patient engagement, operations management, teamwork and communication, public health, and external partnerships. Responses were analyzed by domain and across time. COVID-19 responses included medical alerts, modifying delivery of care, establishing testing and vaccination sites, additional benefits for employees, as well as new processes for communication between employees and senior leadership. COVID-19 responses were most frequently categorized into the operation management domain (80%). Many responses, especially those that considered patients, employees, and the community, also fit other domains. Operation management was the most frequent domain because the pandemic emerged rapidly and required swift, agile, action-oriented responses from the tribal health care organization. The majority of COVID-19 responses involved multiple, not single, domains. Our evaluation approach captured areas of importance to the tribal health organization and may be pertinent for other indigenous organizations and rural communities. It is especially important to consider tribal perspectives in response to COVID-19 because of the prior history with Western medicine and infectious diseases, and health care limitations experienced due to rurality.

How does the dominant stakeholder strategically manage an innovative public policy? Evidence from the London congestion charge

AbstractPrior studies have examined various economic, environmental, and social impacts of the London congestion charge (LCC). However, few studies have investigated how the Transport for London (TfL) managed the LCC in all stages of its policy. Without active, strategic management of policies, stakeholders affected may doubt the policies’ legitimacy and reduce policy effectiveness. Thus, examining the means utilized to achieve effective policy management is critical and can potentially influence the development and management of future policies. This study adapts Mitchell et al.’s stakeholder typology to study how the TfL, as part of the management of, and as the dominant stakeholder in, environmental regulations in London, strategically managed the LCC via their own efforts to exert power, establish legitimacy, and claim urgency. Relying on Yin, we analyze publicly available data to show how the TfL actively managed the LCC to ensure its sustainability as policy. The TfL primarily used tactics to maintain and enhance the LCC's legitimacy with authoritative power and fears of unproven urgency to influence other stakeholders. Results have practical implications for policymakers contemplating policy reforms and shed additional light on less‐discussed latent factors regarding policy management. This study contributes to the literature by applying stakeholder theory to the domain of policy reform, administration, and management. Our findings have policy implications as policymakers may benefit from learning the tactics examined in this study to assess their policy management and administration. Lastly, through our discussion and conclusions, we reflect on our findings to encourage research on policy management.

An optimal organizational excellence model for the public sector

PurposeCurrent models of organizational excellence are appropriate for the private organizations. It is evident that if an appropriate model is not adopted, the process of excellence in the organizations fails and some dimensions of the organization get affected by unpredictable damages. This research aims to identify an appropriate excellence model for public organizations.Design/methodology/approachFirst, a comprehensive literature review was conducted to identify the excellence criteria and models. Second, the models were through an expert-oriented questionnaire, analyzed by the analytical hierarchy process (AHP) technique. Participants were experts in the two domains of excellence models and public sector management. A sample of 15 experts was selected using purposive sampling. In order to emphasize on reliability, 10 questionnaires were adopted for analysis.FindingsThe findings showed that the European Foundation for Quality Management (EFQM) model is the most appropriate model for excellence measurement in the public organizations based on the five selected indices.Originality/valueThe identification of a model for measuring organizational excellence for public sector can significantly contribute to existing literature on excellence measurement.

The Business Impact of Inner Source and How to Quantify It

Inner source software development is the practice of using open source practices for firm-internal software development. Practitioner reports have shown that inner source can increase flexibility and reduce costs. Despite the potential benefits of inner source, there has been little research on its impact on businesses and their processes. To address this gap, we conducted a systematic literature review that identified which business processes are affected by inner source development, particularly within the accounting and management domain. Our review revealed the need for new dedicated community building processes within companies. In addition, we examined computational tools and techniques that can be used to measure inner source development. We found that existing tools and techniques are insufficiently suitable to manage inner source processes. Based on this, we propose research topics for future work on quantifying inner source.

Spatial CRM and location strategy: E-commerce solutions in the furniture industry. Case of IKEA pick-up points in Poland

E-commerce in the furniture industry is specific as delivery of heavy and oversized parcels with traditional channels is not feasible. Alternative solutions, aside from stationary shops, include pick-up points which combine e-commerce purchasing with stationary collection. Convenient pick-up locations that support environmental sustainability and offer cost savings is a domain of Spatial Customer Relationship Management (CRM), which is not enough discussed in the literature. In this paper we develop Spatial CRM for the location strategy of pick-up points in the furniture industry, using IKEA Poland as a case study. We provide the methodology for analysing the spatial range of population potential for collection points and stationary shops based on radial catchment areas of 20 km and precise population data from a grid 1 km × 1 km. We compare this market coverage with customers' attraction to IKEA shops expressed through Google Trends searches to evaluate location strategies for furniture retailers. Our regional approach is responsive to local needs, improves CRM, and remains cost-effective for businesses. Given the similarity of European furniture markets in terms of consumer perspective and e-commerce development, our analysis methodology can be adapted for use in other countries and markets.

Augmenting hotel performance in Malaysia through big data analytics capability and artificial intelligence capability

PurposeAt the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance.Design/methodology/approachData were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software.FindingsThe result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework.Practical implicationsThis study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance.Originality/valueThe study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.

How to signal product variety on pack: an investigation of color and image cues

Line Extensions are among the most common form of product launch in packaged goods markets. As part of this process, brand managers must decide the visual design of the new variant’s packaging. To inform this decision making, this research aims to empirically quantify the efficacy of using colors versus images as signals of product variety on pack. We compare the use of color on 576 packs with perceptions of 1,853 category buyers across three categories in the USA. We find that for 84% of variant types, marketers use common colors to signal variety on pack, while consumers perceive that only 56% of variant types are represented by a particular color. Of greater concern, the colors used in practice and those expected by consumers align in only 16% of cases. By comparison, images are linked to variant types to a significantly greater extent (39% of cases). This suggests images are a stronger and more explicit signal of product variety than color. There are multiple implications arising from this study. It expands scholarly research on the use of colors in product extensions and, at the same time, provides a series of valuable benchmarks for industry practice in the portfolio management domain.