Server Logs Research Articles

Organizational strategic stance and perceived public service performance: a public service logic perspective

ABSTRACT This study explores how public service organizations’ (PSOs) strategic stances impact citizens’ perceived service performance from a public service logic (PSL) perspective. Existing research often focuses on organizational-level performance, overlooking individual citizens’ subjective judgements. By using citizens’ perceived service quality and overall satisfaction as proxies for value-in-use and value-in-context derived from public services, this study provides new insights on how PSOs’ strategies influence value creation. Utilizing multilevel analysis on nested datasets from two surveys in China, this research offers empirical evidence for the strategic influence on individual value creation.

Does User Involvement in Developing Public Sector Innovations Improve Outcomes? A Set-Theoretic Analysis of European Data

Theories of a service or public sector logic stress that involving users in developing public sector innovations will produce better outcomes, but outcomes also could be influenced by the type of user involvement. We evaluate the relationship between interactive and non-interactive methods of involving users in innovation activities, along with six other factors, on a sample of management reported post-implementation outcomes from public sector innovations. A set-theoretic analysis is applied separately for service and process innovations to identify combinations (recipes) of eight factors associated with positive outcomes. Both interactive and non-interactive user involvement is associated with positive outcomes, but such involveme is always combined with other innovation capabilities or senior management support for innovation. The results have practical implications for managers for how to assemble resources to improve innovation outcomes.

Supporting equitable access to learning via SMS in Kenya: Impact on engagement and learning outcomes

AbstractThe use of SMS messaging for education has grown in recent years, with particular attention recently during the Covid‐19 pandemic. Mobile phones often have high levels of ownership in low‐income contexts compared to computers, and lower connectivity requirements, which arguably make this a more equitable medium than data‐heavy online instruction, for example. However, given that gender can be a factor to influence mobile device access and use, it is also important to consider educational applications through a gender lens, to avoid further exacerbating digital divides. In this paper, we present an analysis of server log and evaluation data in relation to a literacy‐focused initiative for primary‐aged learners carried out in Kenya as part of the Tusome programme and through the SMS‐based M‐Shule education platform, which does not require an Internet connection or smartphone to run. The extent of engagement with the platform varies according to gender and location within the country. The data also demonstrate a positive impact on learning outcomes regardless of learners' gender and location. Furthermore, the learning gains are shown to be relatively cost‐effective in comparison with educational technology interventions in similar contexts. The findings show that this low‐connectivity adaptive model has a positive impact on learning outcomes. It is a scalable approach to support a range of learners in Kenya, providing more support to learners who need it, and leading to increased foundational learning outcomes overall. As such, the findings will also be of highly relevant to other low‐connectivity contexts. Practitioner notesWhat is already known about this topic Mobile phones can be used as a means to support learning, through mobile learning and SMS, particularly in low‐connectivity contexts, although there is a lack of rigorous evidence of impact upon learning outcomes. Mobile phone device ownership tends to be higher than computer or wired Internet connections in many low‐income contexts. Software applications which adapt to the learners' level have shown good potential for gender‐equitable learning outcomes in low‐income contexts; however, these often require an Internet connection in addition to computers or tablets to be run on. What this paper adds There is a lack of contextually relevant evidence of the impact of SMS‐based mobile learning applications in low‐resource and low‐connectivity contexts upon learning outcomes. Through analysis of data generated via an experimental design, this study provides evidence that literacy materials delivered through an SMS‐based educational platform—M‐Shule—can have a positive impact upon learning outcomes. Furthermore, gains are equitable in terms of learners' gender, and location, within Kenya. Implications for practice and/or policy Mobile phones can be an effective way of reaching learners to provide additional educational support as part of existing education programmes in low‐connectivity environments. Learning gains using M‐Shule are evidenced as significant and relatively cost‐effective. Existing high‐quality learning materials developed in other media can be effectively adapted to SMS to reach learners particularly who are out‐of‐school or during periods of educational disruption.

Public services as practices: towards a framework for understanding co-creation and co-destruction of private and public value

ABSTRACT Despite the importance of public services, a sound conceptualization of what they are is lacking. Following an analysis of research on public service logic, public value and practices, this paper proposes a public services as practices framework. This framework defines public services as bundles of shared public value co-creation practices that consists of templates and performances. While templates are designed to co-create public and private value, these types of value can be both co-created and co-destroyed during performances. The framework contributes by conceptualizing what public services are and how public and private value are co-created and co-destroyed through public services.

Enhancing strategic public procurement: a public service logic perspective

ABSTRACT This paper introduces a special issue focused on strategic public procurement from a public management perspective. It articulates the goals, key dimensions, and challenges inherent in strategic public procurement while contextualizing the articles featured in this issue. To advance the field and strengthen the integration of public procurement and public management literature, we propose adopting the Public Service Logic (PSL) framework. PSL provides a comprehensive approach to reframe public procurement, shifting it from a focus on legal compliance and cost-efficiency to achieving broader strategic policy objectives, including fostering innovation, environmental sustainability, security, and social inclusion.

Perceptions of e-lending in Scandinavian libraries: tension and harmony between institutional logics

ABSTRACT This study examines e-lending dynamics in Scandinavian public libraries, by exploring the relationship between libraries and publishing houses. We ask how representatives of both fields perceive the public library’s role. Public libraries and publishers have traditionally served different roles in the book sphere: the library as a key cultural policy institution providing access to information and culture, and the publishers as involved in the production of books, operating on commercial premises. This relationship is affected by the change from ownership to licensing of digital book collections, which occurs along with changes on the national book markets. As a theoretical and analytical tool, the study uses the institutional logics perspective to explore the relations between different perceptions. We argue that this relationship can be illuminated through the dynamics of public service logic, market logic and digital logic. The study is empirically based on 26 in-depth interviews interviews with representatives of Danish, Norwegian and Swedish major libraries and trade publishers. Findings indicate that the relationship is nuanced and multifaceted, more than if it relied on a simple opposition between the public and the market. Both libraries and publishers share a common understanding of public service and market logics; however, they differ in perceptions of library’s role which is amplified by digital logic. The study also indicates that e-lending dynamics are influenced by cultural policies but with different outcomes in the three countries.

PUBLIC SERVICE LOGIC: A SYSTEMATIC LITERATURE REVIEW AND FUTURE RESEARCH AGENDA

Public Service Logic (PSL) has emerged as a prominent topic in contemporary discussions on the fundamentals of public service delivery, challenging the mainstream principles dominated by New Public Management (NPM). Essentially, PSL is grounded in a service-dominant approach, while NPM follows a product-dominant approach. This distinction implies that public services should focus on co-creating value rather than relying solely on one-sided product delivery. This study aims to systematically analyze the literature on PSL through a systematic literature review method. The review is crucial for understanding the dynamics and trajectory of PSL research, as well as identifying existing research gaps to inform future research agendas.

Brewing a service-identity: management controls in craft beer servitization

Purpose This paper aims to examine the management controls that support (and fail to support) a craft brewery’s servitization journey from start-up, through growth, to maturity. It enriches our understanding of how management controls can facilitate the discovery of a service-identity that provides the foundation for servitization. Design/methodology/approach Drawing on in-depth interviews, fieldwork and secondary data analyses, this paper reports on a longitudinal case study of a craft brewery. The authors trace the case company’s servitization journey using a service-dominant logic theoretical perspective. This perspective focuses us on how the value of a product is cocreated with customers, rather than being created by the firm and then distributed. Findings The study found that many management controls emerged at the craft brewery from start-up to maturity. Some management controls supported a goods logic, while others supported a service logic. The findings highlight how people and cultural controls in particular enabled the company to move toward a service logic focused on servitization. These management controls informed the evolution of offerings, structure reconfiguration and resources at the craft brewery necessary to support servitization. Originality/value Studying a craft brewery contributes an alternative type of manufacturing context and shows how service-identity features such as craftiness, collectiveness, neolocalism and innovation affect a company’s servitization journey.

CPanel Server Hosting Security Against Malware and DDoS Attacks on the Open Journal System Platform

Purpose: This research analyzes the security of cPanel in protecting Open Journal Systems (O.J.S.) from DDoS attacks and malware infections. Since contemporary threats to this environment are continuously evolving, this investigation seeks to offer empirical findings and applicable suggestions for platform managers of academic publishing platforms. Methods: The method applies the scope of the literature study and tests system-specific security using cpanel features to test Imunify360, SSL Manager, IP Blocker, Site Quality Monitoring, Awstats, and Jetbackup. This is then followed by observing the server logs on cPanel, where any suspicious activities or signs of attacks can be identified. It contributes to the detection of attack patterns and weaknesses in a system. Result: This indicates several default settings within cPanel were found to be vulnerable and could allow exploitation for DDoS purposes. Tools available in cPanel helped eliminate malware and strengthen defense against DDoS attacks. This is verified by the AWStats check, which means a quicker and more secure access time from the server. Novelty: This study combines many security features and tools from cPanel to implement a complete manner of detecting and improving its security. This method will not only help find out what the weak points are but also provide actionable solutions that can be employed to secure your application. The research results offer a practical guide for system administrators to enhance cPanel security configurations. This includes applying amended security settings and using more tools to safely sweep O.J.S. from online threats.

What is special about the public service logic?

The article addresses the issues of the public service logic (PSL), one of the avenues of studying public and municipal administration. Developing this concept will contribute to the theory and practice of providing public services in the Russian system of state and municipal government. Methodologically, the paper rests on the provisions of public administration, as well as the concepts of service-dominant logic and public service-dominant logic. It follows the principles of methodological individualism and interdisciplinary approach that allows adding the findings of the existing economic studies to our analysis. Among the research methods applied are comparison, content analysis and systematization. We have identified the following theoretical gaps that need to be bridged to develop the PSL: first, the lack of a scientifically grounded definition of “public service value” as a form of service co-production involving the seller and the buyer, and, second, determining behavioural characteristics of employees of public (non-profit) organizations rendering credence goods-related services. Thus, the PSL outlines an important research area, namely studying value co-creation mechanisms in the public sector. The research findings can be utilized to refine public policy and produce strategic documents for the development of non-profit organizations providing public services.

Design and implementation of real-time log analysis based on ELK

With the rapid development of the IT industry, the integrated solution of real-time log analysis has become a member of the new generation of IT operation and maintenance structure. The traditional manual log analysis system is no longer suitable for the rapid development of the operation and maintenance system. The log analysis software commonly used in enterprises includes Elasticsearch, Logstash, and Kibana systems. The advantage is that it is free and open source. "Design and implementation of real-time log analysis based on ELK" was born for system maintenance and developers to understand server software and hardware information through logs, and check the cumbersome operations in the configuration process. Because frequent analysis of the log can understand the load of the server, performance security, so as to take timely measures to correct errors. If you manage dozens or hundreds of servers, there is no centralized log management system to collect and summarize the logs on all servers, which causes great difficulties for operation and maintenance managers. "Design and implementation of real-time log analysis based on ELK" uses Elasticsearch, Logstash, and Kibana to achieve unified collection and classification of server logs, which can solve the defects of traditional log analysis platforms, improve the efficiency of server application positioning problems, and help enterprises solve data center problems running problems of related applications.

Service-informed marketing reform

PurposeThis paper aims to develop an alternative perspective on marketing informed by service scholarship to resolve marketing’s challenges as a discipline and practice.Design/methodology/approachThis paper is conceptual and builds on the ongoing debate regarding marketing’s challenges and on service research to develop a new alternative marketing perspective and model, which could contribute to reforming marketing.FindingsAn analysis of the current understanding of marketing showed that the discipline’s myopic focus on activities, which disregards what marketing is as a phenomenon, is the primary reason for the prevailing problems and failure to reform marketing. Based on research into service logic (SL), the paper demonstrates that a higher level view of service can be characterized as the provision of help to the users of goods and services to ensure that these goods and services deliver meaningful assistance in their lives and work. This suggests that the ultimate objective for marketing is to make firms meaningful to the users of their goods and services.Research limitations/implicationsTo the best of the author’s knowledge, since this paper is the first to conceptually develop a perspective on marketing and a corresponding model informed by service scholarship, more conceptual and empirical research is necessary. Developing the new meaningfulness-based perspective and model for marketing brings a new approach to the process of resolving marketing’s current troubled situation.Practical implicationsThe meaningfulness approach to marketing enables customer-centered marketing strategies to be implemented. Such strategies include both demand-stimulating and demand-satisfying programs.Originality/valueTo the best of the author’s knowledge, this paper is the first to examine marketing’s troubled situation from a service research and SL perspective.

L’accès aux services de fertilité pour les femmes lesbiennes, bisexuelles ou pansexuelles et les personnes queer, trans ou non-binaires : une revue rapide des écrits scientifiques

<p>Introduction: Lesbian, bisexual, and pansexual (LBP) women as well as transgender, queer, and non-binary individuals (TQNB) often rely on medically assisted reproduction (MAR) to build their families, but do not always have access to these services. Currently, there appears to be no literature that comprehensively reviews, from an ecosystemic perspective, the main factors determining LBP women's and TQNB people's access to MAR.</p><p>Objective: This rapid review aims to identify, from an ecosystemic perspective, the factors described in the scientific literature as influencing LBP women's and TQNB people's access to MAR.</p><p>Methods: A literature search using 11 search engines identified 22 articles presenting results of recent empirical studies (2018-2023) using various methodologies. Relevant results were subjected to thematic analysis, and identified factors were classified within an ecosystemic model.</p><p>Results: The identified factors are (1) at the microsystemic level, support from the social network and healthcare personnel; (2) at the exosystemic level, healthcare personnel's awareness of sexual and gender diversity, adequacy of information and documentation, organizational logic of fertility services, cost of services, legislation; (3) at the macrosystemic level, heterocisnormativity as a cross-cutting influence.</p><p>Discussion and conclusion: To ensure access to MAR for LBP women and TQNB people, a comprehensive and multi-level approach is necessary. Suggestions for health practices and public policies are proposed.</p>

Hotel’s customer empowerment, environmental corporate social responsibility, and online customer value co-creation to attain sustainable development goals (SDGs)

Purpose The hotel customers are conscious of the deteriorating environmental conditions and demand for online immersions. Hotels lack an exciting shift in customer behavior for augmented customer re-patronage intention (CRPI) especially in developing countries. This study aims to apply customer-dominant service logic (CDSL) to comprehend customers’ life-sphere contributing to some of the vital United Nations sustainable development goals (UN SDGs). In this essence, CDSL grasps the impact of customer empowerment (CE) and environmental corporate social responsibility (Env CSR) on customer re-patronage intention (C-RPI) with the mediating and moderating effects in Pakistan’s four- and five-star hotels. Design/methodology/approach A deductive approach is followed in which an online survey of 400 hotel customers was conducted using purposive and snowball sampling techniques to understand the practice of C-RPI and UN SDGs. Findings This study reveals that executing the UN SDGs in the hotel industry eventually boosts CE and Env CSR, further enhancing online customer value cocreation (O-CVCC) resulting in C-RPI. Both CE and Env CSR gain a complimentary/partial mediation by O-CVCC on C-RPI is also reported. Moreover, sensation seeking moderates the relationship between CE and O-CVCC. Yet, customer commitment does not moderate the relationship between O-CVCC and C-RPI. Originality/value This study highlights that C-RPI (i.e. SDG 11) enhances when Env CSR is taken care of (i.e. SDG 13), customers are empowered (i.e. SDG 5 and SDG 17) and cocreated online (i.e. SDG 9). To the best of the authors’ knowledge, this study is one of the first studies to empirically test the approaches in the hotel industry contributing to SDG 5, 9, 11, 13 and 17.

Practical Sustainable Software Development in Architectural Flexibility for Energy Efficiency Using the Extended Agile Framework

Many regular business operations are transforming into digital services, increasing advanced multi-platforms, rapid operational alignment, flexibility, and environmental impact through energy consumption, hardware waste, and technology investments. Flexible and sustainable system development models emphasizing energy efficiency can help innovate software development as digital servicing applications shift. This research is motivated by the need to improve energy consumption in early software design and development due to rising technological efficiency and sustainability demands. Although effective in iterative development and stakeholder engagement, traditional Agile methodologies often struggle with long-term sustainability and energy efficiency. Extended Agile, combining Agile, layered architecture, and aspect-oriented frameworks (ALAI), promises to improve system modularity, flexibility, maintainability, and sustainability. This study’s findings are not just theoretical, but also practically relevant, as they explore the energy efficiency of ALAI software development methodologies, using graduate admission information system services (GAISS) as an example. GAISS is a complex system that handles the entire process of graduate admissions, from application submission to final decision. The study quantifies the energy usage of a student-list webpage by analyzing Microsoft IIS server logs from February 2022 to May 2024. Directly applicable findings show that the GAISS based on the ALAI framework reduces energy consumption by 10.7914% compared to traditional Agile software developments. ALAI used 892.80 kWh versus Agile’s 1000.80 kWh during operations, saving energy. These findings demonstrate the benefits of integrating aspect-oriented frameworks and layering approaches into Agile methodologies, contributing to sustainable software development discourse. The study emphasizes the importance of energy-efficient frameworks such as ALAI to reduce software systems’ environmental impact and promote software development sustainability. The findings of this study, with their practical relevance, assist software developers and organizations in choosing software design and development methods that maximize operational efficiency and environmental sustainability.

The impact of institutional logics on specifications quality: investigating the mediation effects of legitimacy and stewardship behaviour

PurposeThis study aims to examine the relationship between institutional logics and specifications quality, and how this relationship is mediated by the legitimacy of the procurement process and stewardship behaviour.Design/methodology/approachThis study draws on insights from institutional logics theory, and legitimacy and stewardship behaviour literature. We conducted an extended literature review to gain a comprehensive understanding of “institutional logics” and their manifestations in organizational contexts, utilizing the 2000–2024 data collected from the EBSCO, Scopus and Web of Science databases, complemented with Google Scholar. We gather that institutional logics manifest in several forms, and that while some organizations may thrive on a single logic, in certain contexts institutional logics can manifest in combinations – “multiple logics or hybrids”. Based on this understanding, we developed testable research hypotheses, predicting the influences of institutional logics – professional logic, efficient service logic and delivery (market) logic, on legitimacy, stewardship behaviour and specifications quality. We then carried out an empirical study, adopting a quantitative cross-sectional survey design with a self-administered questionnaire to test the hypothesized relationships. The empirical data were obtained from 162 procuring and disposing entities in Uganda and analyzed using the partial least squares structural equation modelling technique.FindingsThe study findings reveal that institutional logics exert a strong positive effect on the legitimacy of the procurement process and on stewardship behaviour, which, in turn, both positively influence specifications quality.Research limitations/implicationsThe study findings have implications for theory and practice. The study findings provide useful insights that support the conceptual and theoretical development of institutional logics theory and applications in procurement literature. In addition, the study findings enhance procurement managers’ understanding of the mechanisms through which institutional logics can foster specifications quality. However, considering the fact that the study was conducted in a single country context, and focused on the public sector only, the findings of the study might not be generalizable globally.Originality/valueThis study contributes to established knowledge about quality management and procurement by examining the legitimacy of the procurement process and stewardship behaviour of those involved in procurement processes as mechanisms through which procuring entities are able to use institutional logics to enhance specifications quality. In addition, the study highlights areas for future research that may be explored to increase understanding of the value of institutional logics in ensuring specifications quality, and the link between specifications quality and the general performance of procuring entities.

Securing Cloud Computing Services with an Intelligent Preventive Approach

Cloud computing is a technological marvel that transcends conventional boundaries by utilizing an Internet-based network of remote servers to store, manage, and process data and many other services. It represents a contemporary paradigm for delivering information technology services. Today, cloud computing services have become indispensable for both individuals and corporations. However, adopting cloud services presents fresh challenges in terms of service quality, resource optimization, data integration, cost governance, and operational security. The security of cloud services is of supreme importance, given the open and distributed nature of the environment, making it susceptible to various cyberattacks, such as Denial of Service (DoS) or Distributed DoS (DDoS) attacks, among others. Cyberattacks can have severe repercussions on the availability of cloud services, potentially causing complete DoS. In numerous instances, the detection of attacks is delayed, pushing cloud platforms to a breaking point. Emphasizing the importance of proactive measures, it becomes crucial to identify and alert about any suspicious access long before the latter reaches a critical stage, mitigating the risks and preventing potential service disruptions. This study introduces a preventive approach that utilizes artificial intelligence techniques to improve the security of cloud services. The proposed method aims to detect and flag potential attack behaviors well in advance before they affect service quality. To achieve this, the particular method involves periodic identification and measurement of critical information on service access and resource utilization. This can be accomplished by analyzing cloud server logs or integrating dedicated sniffing software to capture and store technical traffic details. Subsequently, the collected data are processed by analyzing traffic properties to proactively identify and report any indications of cyberattacks.

Evaluating Machine Learning Techniques for Web Robot Detection

A web robot, also known as a web crawler, is an automated script that systematically browses the World Wide Web in a methodical manner. Web robots are commonly used by search engines to index web pages, gather information, and update search engine databases. They follow hyperlinks from one web page to another, collecting data and information for various purposes such as indexing, data mining, and website monitoring. Web robot detection is the process of identifying and distinguishing between human users and web robots on websites, which are a major source of web traffic. This process is vital to prevent malicious web robots from having a negative effect on web servers’ traffic and their users’ privacy. Companies such as Imperva, Inc. use machine learning models to identify malicious bots and prevent them from having unauthorized access to an organization’s server. To understand the benefit that machine learning models bring to web robot detection, we used pre-published server log data to construct machine learning models on Orange (a Data Mining Software) and Python that can distinguish between malicious and benign web robots. We evaluated the performance of three well-known machine learning algorithms: kNN, neural network, and decision tree. Based on our experimental results, the neural network gains the highest precision and the lowest false-positive and false-negative percentage of web robots. However, the neural network requires more time to generate the desired output.

Citizens’ conscious engagement in digital platforms: advancing public service delivery within the public service logic framework

ABSTRACT Public service logic (PSL) acknowledges the pivotal role of citizen participation in value creation, yet the effect of citizens’ conscious engagement on public service delivery and co-creation of value with public service organizations (PSOs) remains underexplored. This study addresses this issue through empirical research on the interactional text data between users and PSOs on an online responsive service platform in Beijing, China. The study contributes by unveiling evidence of users’ conscious engagement and input and examines its influence on PSOs’ responsiveness and service outcomes. Furthermore, it extends the research on value co-creation within digital platforms.

Enhancing Network Attack Detection Accuracy through the Integration of Large Language Models and Synchronized Attention Mechanism

In this study, we propose a novel method for detecting cyberattack behaviors by leveraging the combined strengths of large language models and a synchronized attention mechanism. Extensive experiments conducted on diverse datasets, including server logs, financial behaviors, and comment data, demonstrate the significant advantages of this method over existing models such as Transformer, BERT, OPT-175B, LLaMa, and ChatGLM3-6B in key performance metrics such as precision, recall, and accuracy. For instance, on the server log dataset, the method achieved a precision of 93%, a recall of 91%, and an accuracy of 92%; on the financial behavior dataset, it reached a precision of 90%, a recall of 87%, and an accuracy of 89%; and on the comment data dataset, it excelled with a precision of 95%, a recall of 93%, and an accuracy of 94%. The introduction of a synchronized attention mechanism and a newly designed synchronized loss function proved especially effective, enhancing the method’s ability to process multi-source data and providing superior performance in identifying complex cyberattack patterns. Ablation experiments further validated the crucial roles of these innovations in boosting model performance: the synchronous attention mechanism substantially improved the model’s precision, recall, and accuracy to 93%, 89%, and 91% respectively, far exceeding other attention mechanisms. Similarly, the synchronized loss showcased a significant advantage, achieving the best performance across all tested metrics compared to traditional cross-entropy loss, focal loss, and MSE. These results underscore the method’s ability to deeply mine and analyze semantic information and contextual relationships within text data as well as to effectively integrate and process multimodal data, thereby offering strong technical support for the accurate and efficient detection of cyberattack behaviors.