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Researchers in the field of operations management (OM) have long advocated fact-based decision-making. The use of business intelligence (BI) systems represents a great opportunity for manufacturers to improve profitability and reduce firm risks. However, the actual business value of BI systems has remained highly controversial because integrating BI systems into production and manufacturing operations is difficult. In particular, the informational sources and operational use of BI systems require substantial internal support from employees and institutionalised incorporation of BI into operations. Using a sample of 278 manufacturing firms in the US that had used BI systems from 2005 to 2014, we examine the impact of BI systems on firms' profitability and risks. We show that firms improve their profitability and reduce risks in profit returns directly after the operational use of BI systems. Firms with superior employee relationships and higher process institutionalisation (i.e. firms that are ISO 9000 certified) benefit more from the operational use of BI systems. We provide a resource orchestration perspective (ROP) of the resource-based view (RBV) of firms for the competitive advantage derived from the operational use of BI systems; and we ascertain the circumstances in which manufacturers are more likely to benefit from BI systems. [ABSTRACT FROM AUTHOR]

The purpose of the present study was to investigate the relationship between the use of knowledge management and the sustainable performance of companies listed on the Tehran Stock Exchange, considering the mediating role of modern financial technologies and business intelligence. The statistical sample of the present study was made up of 441 senior managers of the studied companies with at least 5 years of work experience. A questionnaire was used to collect data, and its validity and reliability were confirmed. After collecting the data, the structural equation modelling method was used in SmartPLS software. The results of the research hypotheses test showed that knowledge management has a positive effect on sustainable performance and directly predicts 0.748 of the changes related to sustainable performance. Also, the analysis of the results showed that knowledge management through modern financial technologies and business intelligence has a positive effect on the sustainable performance of companies admitted to the stock exchange. Based on this, it can be said that the implementation of knowledge management dimensions along with the use of modern financial technologies and business intelligence such as blockchain technology can help the studied companies in achieving sustainable performance.

Abstract This research aims at producing a thorough and accurate analysis on how big data as a service and business intelligence capabilities provide a series of opportunities for small and medium enterprises to succeed in E-commerce. The statistical data were drawn from samples of accountants within small and medium enterprises, spanning two periods, the period of COVID-19 pandemic and the period of new normal. The structural equation modeling was applied in this study. The value of fine-grained insights in this work could guide policy-makers and practitioners to sense and seize how to implement E-commerce in an efficient and effective manner.

The management of a water network is a complex and challenging job. Nowadays, thanks to the technology available, there is the opportunity to move to a data-driven decision process. To meet the increasingly stringent technical quality requirements from the Authority, water utilities need to increase the operational efficiency. The solution is to integrate and organize operational and business-related data into a common data lake and use these data as a source for a business analytics software able to assist and support daily operations and future investment programs. This paper describes the activities and results of a digitalization case study carried out in Italy where a leading water utility serving over 2 million residents implemented an integrated water management system to enhance the business performance by leveraging a data-driven approach. The project resulted in the establishment of an advanced control room at the company's headquarters, featuring real-time dashboards that are fully integrated with the utility's operational tools and software. The integrated system allows faster responses to operational needs and supports business decisions through streamlined access to relevant data. HIGHLIGHTS Thanks to the technology available, water utilities can move toward a data-driven decision-making process.; The collaboration between OT and IT is the key to digital transformation.; The solution is to integrate and organize operations and business-related data into a data lake to allow a holistic business view.; A business intelligence platform is a tool to support operations and optimize investment.;

Business intelligence can play a significant role in improving the healthcare industry. Healthcare organizations generate massive amounts of data, including patient information, financial data, and operational data. The tools can help healthcare organizations to analyze and utilize this data to improve their operations, reduce costs, and provide better patient care. Business intelligence technologies can be used to analyze this data and improve operational and clinical efficiency. However, healthcare organizations need to assess their readiness and develop an overall the strategy to effectively use the data. This research proposes a framework for developing a domain specific maturity model, that meets specific healthcare industry. The study demonstrates the effectiveness of this framework by applying it to the development of maturity model in healthcare. The results indicate framework is able to guide the development of a BI maturity model that is acceptable to expert practitioners field. Our research is important because it addresses the need for a domain specific BI maturity model in healthcare. While there are generic models available, they may not be suitable for the specific needs of the healthcare industry. The proposed framework can be used by healthcare organizations to assess their BI readiness and develop a BI strategy that is tailored to their specific needs. Overall, this research has practical implications for healthcare organizations looking to leverage their data through Business intelligence technologies. By using the proposed framework to develop a domain specific Business intelligence maturity model, organizations can improve their operational and clinical efficiency and ultimately provide better patient care.

У сучасному глобальному бізнес-середовищі важливість ефективного управління та ухвалення обґрунтованих стратегічних рішень стає все більш критичною для успішної діяльності підприємств. Для досягнення цих цілей інформація стає ключовим ресурсом, а використання інструментарію Business Intelligence (BI) у процесі планування діяльності підприємства набуває великого значення. Мета дослідження полягає в ідентифікації та порівнянні практичних можливостей прогнозування облікових показників за допомогою сучасного інструментарію Business Intelligence. Формування показника чистого доходу є ключовою складовою стратегічного планування підприємства й вимагає комплексного аналізу внутрішніх та зовнішніх факторів. Для прогнозування облікових показників використовуються різні методи, такі як кореляційно-регресійний аналіз, моделі часових рядів і нейронні мережі. У статті доведено, що обрані методи прогнозування дали позитивні результати щодо ідентифікації динаміки чистого доходу ПрАТ «КиївХліб». Модель множинної лінійної регресії та ARIMA-модель продемонстрували схожі прогнози чистого доходу, передбачаючи збільшення у 2,03 раза за першим методом та у 2,017 раза за другим. Нейронна мережа також прогнозує зростання чистого доходу, але з меншим темпом приросту (у 2,93 раза). Автори акцентують увагу на ролі інструментарію Business Intelligence (BI) у процесі прогнозування облікових показників підприємства. Аналізується використання аналітики BI-платформ, що надає можливість передбачити стан підприємства в майбутньому та робить BI важливою складовою стратегічного й економічного аналізу. Традиційні методи прогнозування на основі кореляційно-регресійного аналізу та побудови часових рядів дуже поширені, проте мають свої обмеження. Вони ґрунтуються на припущенні, що минулі тенденції залишаться сталими в майбутньому, але не завжди можуть урахувати непередбачувані події. Розвиток інформаційних технологій призвів до використання більш ефективних методів інтелектуального аналізу даних для побудови прогнозів. Використання генетичних алгоритмів є перспективним напрямом для моделювання та прогнозування облікових показників, але вимагає наявності відповідних даних для кожної змінної моделювання. Порівняння традиційних методів прогнозування з методами інтелектуального аналізу даних може допомогти зрозуміти їхні слабкі й сильні сторони та сприяти розробці гібридних інструментів прогнозування, які усувають обмеження кожного з методів.

Purpose: The purpose of the article is to emphasize the growing popularity of using tools based on artificial intelligence and blockchain technology in supply chain management, as well as to show the synergistic potential of using them together. Additionally, the author aims to present and discuss the concept of using both technologies for the purposes of constructing an ordering goods system in the supply chain based on AI tools supported by blockchain technology. Design/methodology/approach: The purposes of the paper were achieved by analyzing literature, industry reports and online publications in the field of blockchain technology and artificial intelligence in supply chain management. The theoretical scope of the article is the description of application areas of both described technologies within the supply chain, their main characteristics and the potential for synergy in their combined use. Findings: The author presented the results of the analysis of literature, industry reports and online publications, demonstrating the growing popularity of the use of blockchain technology and artificial intelligence-based tools in supply chain management, characterized key features of analyzed technologies, comparing them on the basis of opposites, and indicated their resulting synergistic potential. Drawing conclusions from this potential, the author indicated the possibility of using both technologies together as part of the blockchain-AI supported ordering system's concept. The article ended with the author's suggestions regarding the potential of future research aimed at concretizing the proposed concept and looking for opportunities to decentralize AI tools used so far based on their support with blockchain technology. Practical implications: The use of blockchain technology and tools based on artificial intelligence in business shows measurable benefits, as shown by the submitted analysis of industry reports. Observed increasing adoption of both technologies contributes to cost decrease and revenue increase in many industries as shown in the paper. Originality/value: The originality of the paper consists in comparing the opposites and drawing conclusions regarding the potential complementarity of the features of both analyzed technologies, and is also expressed in the proposed concept of Blockchain-AI supported ordering system. [ABSTRACT FROM AUTHOR]

Promoting the accelerated adoption of electric vehicles (EVs) in the United States (US) is one of the main strategies for reducing risk related to climate change. However, the lack of public charging stations (EVCSs) in the US has been identified as a grave obstacle to EV market penetration. The US Federal Government is providing extensive financial incentives to promote EVCSs. This allows diverse businesses to offer EV charging as an ancillary service, without the risks associated with traditional fuel facilities. Locations offering these novel services will reduce their financial operational risks, increase customer traffic and receive additional revenue. However, selecting unsuitable equipment for particular business segments and locations creates a severe risk of underuse and disrepair, leading to the potential failure of these new projects. Furthermore, these unsuccessful EVCSs exacerbate consumer reluctance to EV adoption and foster social opposition to this new technology. This study provides stakeholders with a framework for the optimal placement of EVCSs to maximize their successful deployment and incentivize continuous growth in the EV market. It identifies risk factors related to the placement and operation of EVCSs, aiding in optimal equipment selection for each location. Results from this study highlight EVCS location trends based on location and type of business, with the potential for some retrofitting projects. This framework provides relevant geospatial results for business owners, policy makers, consumers and other stakeholders in the adequacy of new charging infrastructure. [ABSTRACT FROM AUTHOR]

Business Intelligence (BI) encompasses a suite of strategies, processes, applications, and technologies that convert raw data into valuable insights for business analysis. By aiding in informed decision-making, BI empowers organizations to enhance their competitive edge and streamline internal operations. It not only uncovers new prospects but also refines customer service and bolsters profitability. Through historical, real-time, and predictive perspectives on business operations, BI facilitates well-informed choices. Leveraging BI tools, businesses dissect consumer behavior, detect trends, and devise potent marketing tactics. BI amplifies comprehension of customers, rivals, and markets, leading to astute decisions that foster profitability. This study amassed data via a survey of 162 IT managers in multinational corporations within Malaysia. Employing partial least squares (PLS) through SmartPLS software, the analysis reveals that BI, along with its insights, contributes to effective management practices. Notably, the information requisites may shift based on the balance between uncertainty and ambiguity in an organization's practices. Nevertheless, the research gap remains concerning the relationship between BI, its significance, and business performance. [ABSTRACT FROM AUTHOR]

Background and Aim: A medication dashboard could provide executive directors and managers with the ability to manage medication resources in hospitals. This study aimed to design, implement, and evaluate a medication resources management dashboard for general hospitals. Materials and Methods: This study was of the development-applied type conducted in an academic therapeutic community center. Based on scientific sources, the dashboard’s key performance indicators (KPIs) and functional requirements were identified. The data collection tool was a questionnaire comprising demographic information, KPIs, and functional requirements. The dashboard conceptual model was designed using Rational Rose software, and then POWER BI software was used to develop the system. The usability of the dashboard was evaluated using the standard questionnaire for End User Computing Satisfaction by 10 users. The data were analyzed in SPSS software using descriptive statistics. Results: The most important KPIs determined for a medication resources management dashboard in general hospitals were “the ratio of antibiotic consumption to total number of drugs”, “the ratio of the antibiotic prescribed by general practitioners to total number of drugs”, “the ratio of patients for whom antibiotics were prescribed to all patients”, and “the ratio of the number of drug items prescribed by specialists to all physicians”. The most important functional requirements determined were “updating information at specific intervals “, “checking the dashboard at different time intervals”, “defining access levels to view the information”, and “choosing between graphical and tabular displays”. Usability evaluation showed that users’ satisfaction with the dashboard content variable was “very high” and for the other variables was at a “high” level. Conclusion: The KPIs associated with antibiotics and drug costs within the medication dashboard of general hospitals are high priority. Future studies should evaluate the impact of using a medication dashboard on hospital executive directors’ and managers’ decision-making. [ABSTRACT FROM AUTHOR]

Purpose: To determine the impact of a business intelligence dashboard tool to optimize automated dispensing cabinets (ADCs). Methods: A pre-post implementation design was used to evaluate key performance indicators (KPI) before and after the implementation of a dashboard tool to optimize ADCs. Eleven ADCs were optimized in 2 phases according to dashboard recommendations: (1) removal of unused medications over 90 days, (2) adjusting periodic automatic replenishment (PAR) levels, and (3) addition of commonly dispensed medications. The KPI measures that were assessed included inventory cost, no. of stocked medications, stockout percentage, vend to refill ratio, and missing dose messages from nursing. An interrupted-time-series regression was used to quantify the impact of ADCs on the means of measured KPIs. Results: Differences in mean distribution of all KPIs, except missing dose, between the pre- and post-ADC periods during the Phase 1 period were statistically significant: inventory cost (54.2 vs 56), stockout percentage (1.55 vs 1.12), vend to refill ratio (6.83 vs 6.14), and missing dose messages (221 vs 229). Only the mean ADC utilization (57.3 vs 64) and missing dose (228 vs 179) were statistically different between the pre- and post-ADC periods in Phase 2. The interrupted-time-series analysis showed that Phase 1 optimization significantly reduced the cost of inventory (β = −$1.238.00, P <.01), no. Stocked medications (β = −8.2, P <.01), percent stockout (β = −.49%, P <.01), vend-to-refill ratio (β = −1.29%, P<.01) and ADC utilization (β = −.2, P <.01). Conclusion: Automated dispensing cabinets optimization, through the use of a dashboard tool, had a positive impact on almost all measured KPIs. [ABSTRACT FROM AUTHOR]

The article discusses the concept of disruptive technologies and their impact on the market. It mentions that the success in adopting these technologies depends on factors such as the ability to adopt them quickly, a solid organizational strategy, and the availability of resources. It also mentions the political, technological, economic, and socio-cultural factors that influence the adoption of disruptive technologies. The importance of competitive intelligence, innovation, and the adoption of disruptive technologies in companies is highlighted, as well as the need to rethink business strategies and promote collaboration and knowledge exchange. The "Innovator's Dilemma" posed by Christensen is mentioned, and the importance of agility and cultural transformation based on ethics and responsibility is emphasized. [Extracted from the article]

Seattle-Tacoma International Airport (SEA), Washington, installed an educational display to raise passengers' knowledge and awareness of wildlife trafficking. Little is known about the efficacy of wildlife trafficking-related educational displays at airports. In the fall of 2022, Port of Seattle (PoS) Business Intelligence conducted an evaluation to assess the impact of the display. The evaluation included three components: observation of passengers viewing the display; a survey with passengers who viewed the display; and a survey with passengers who did not view the display. Observations revealed that 0.8 per cent of passengers stopped to view the display. Mean viewing time was 48 seconds. The more passengers passed through the concourse, the fewer stopped at the display. Most non-viewers (88 per cent) did not notice the display as they passed it on the way to their gate. Non-viewers who noticed the display but did not stop to view it gave being in a hurry and wanting to get to their gate as primary reasons for not stopping. Viewers of the display, compared to non-viewers, reported a greater level of confidence that they could spot a product made from endangered wildlife, increased knowledge about actions that can contribute to wildlife trafficking and a greater belief that their actions can help save endangered animals. Although the display did have an impact on viewers, fewer than 1 per cent of passengers who passed by the display viewed it. Most passengers did not notice it. The findings of this evaluation raise the issue of whether passengers on the way to their departure gate are receptive to viewing an educational display. There may be more opportune approaches to educate passengers about wildlife trafficking, such as presenting information about wildlife trafficking on television screens in gate areas or as part of in-flight entertainment. [ABSTRACT FROM AUTHOR]

These days, we are taking part at an increasing rate of business digitization, and without a doubt, we encounter difficulties in maintaining a clear overview of the business processes within an organization. Considering each business flow a puzzle piece of the entire company landscape, we aim to highlight the importance of documenting each 'working piece' with no other priorities. Having this focus in mind, as business intelligence and software developers, we can't imagine this puzzle with a missing piece. Being aware of the fact that a solid base is built piece by piece, both the image of the company and its productivity can suffer because of omissions related to essential details, details that in the context of competition in today's marketplace end up making the difference between the clients' choices. So, each piece, each workflow, no matter how small, is essential to the overall success of a company. In this paper, we wish to emphasize the importance of proper documentation that presumes a wellpointed business analysis, the foundation upon which a successful business thrives. [ABSTRACT FROM AUTHOR]

The objectives of this article are to examine whether the application of digitalization in enterprise budgeting affects the fulfilment of budgeting functions and their qualitative characteristics, and to investigate whether the realization of budgeting functions brings benefits. The research was conducted from the perspective of contingency theory, both internal and external conditions. The study used an online survey targeting company budgeting staff. Structural Equation Modelling was utilized to validate the structural model (PLS-SEM technique). The conclusions confirm that the application of digitalization, which particularly pertains to ERP, business intelligence systems, and accounting systems with budgeting solutions, positively impacts the fulfilment of budgeting functions and most of their qualitative characteristics, while blockchain makes a minor contribution. Our research suggests that contingency variables, particularly internal ones such as company size, the quality of the organizational structure, and support for competitive strategy, continue to affect budgeting implementation even with the participation of digitalization in budgeting. Budgeting functions and their qualitative aspects are notably correlated with the advantages derived from budgeting, including financial performance, sustainable development and budget task execution. [ABSTRACT FROM AUTHOR]

In March 2022, Google announced that their flagship Universal Analytics (UA) platform would stop processing new website sessions on July 1, 2023 (Ketchum 2022). Even though Google is offering users of UA the option to transition to their newer Google Analytics 4 (GA4) platform, which officially launched in October 2020, the sunsetting of the UA platform is causing great consternation in the web analytics and marketing analytics communities. Millions of businesses rely on UA to perform detailed analyses of their websites, providing insights into the make-up and engagement patterns of their website visitors and the performance of their digital marketing campaigns. Business analysts that are responsible for generating web analytics reports are now undergoing extensive training to learn how to operate in the GA4 environment. Marketing educators must also become well versed in the GA4 platform to teach undergraduate and graduate students how to use this new platform to perform a variety of critical marketing analytics tasks. This article provides a detailed overview of the new, free version of the GA4 platform, highlighting several of the platform's innovative features and capabilities. It also describes how educators and students can access comprehensive GA4 training resources and get certified on the platform. The goal of this article is to provide educators with practical information that can be used to help integrate the GA4 platform and corresponding web analytics concepts into the design of their marketing analytics and digital analytics courses. [ABSTRACT FROM AUTHOR]

The concept of digital intelligence, which is frequently mentioned, especially in educational sciences, is rarely seen in the business administration literature. This study aimed to discuss digital intelligence regarding business administration literature and put forward a discussion about whether companies need digital intelligence simultaneously with emotional intelligence in the way of competition and whether the two phenomena should be considered together. In this context, data were obtained from "The Internship" movie and the first three seasons of the "Silicon Valley" series using the document analysis data collection method. The obtained data were analyzed through content analysis. The grounded theory approach was adopted because of creating categories based on the data. Findings showed that successful outcomes for companies could occur if emotional intelligence and digital intelligence are given equal importance and evaluated simultaneously. [ABSTRACT FROM AUTHOR]

Supply chain is one of the important aspects in a company. An effective supply chain can help companies to increase efficiency, effectiveness, and profitability. The purpose of this research is to develop a supply chain performance measurement model at PT Metito Indonesia based on Power BI Business Intelligence. This research is a type of qualitative research that uses a descriptive approach. The data collection technique in this research was carried out by observation and literature study. This research was conducted at PT Metito Indonesia which is located at Jl. Ampera Raya No. 18A, East Cilandak, Kemang, South Jakarta. Data validity tests in this study include tests, credibility, transferability, dependability, and confirmability. The research results show that measuring supply chain performance at PT Metito Indonesia can increase its competitiveness by adopting strategies that are more adaptive and responsive to market changes. Using BI Power BI helps companies to be more proactive in making strategic decisions that have a direct impact on increasing competitiveness in the market, increasing operational efficiency, and strengthening the company's position in a competitive industry. [ABSTRACT FROM AUTHOR]

BI which is actually technology-based has provided tools and software that can be utilized by every company and MSME to increase competitiveness and business success. However, there are still many MSME players who have not utilized this technology. The purpose of this study is to analyze the stages of competitive intelligence strategies that can increase the competitiveness and success of MSME businesses. Analyze business intelligence implementation strategies in improving the competitiveness and success of MSME businesses. This research uses qualitative methods with a case study approach with SWOT analysis and Porter Theory. The focus of research will be carried out on MSMEs that have superior products in Palembang City, namely Songket and Pempek. The techniques used to collect data are: interviews, observation, and documentation. Data analysis in this study was carried out in 6 stages. The results of this study show that every MSME needs the right strategy that can include market development, or even strategic partnerships to overcome various threats and take advantage of opportunities in the Palembang MSME market by modernizing their business activities. The competitive strategy of MSME development intelligence to increase its competitiveness and business success includes local resources and expanding strong business networks, expanding marketing reach so that products will be better known by consumers, innovation in MSME business models, better decision making through knowledge and understanding of intelligence on data and information can provide excellence, and optimal MSME management such as data collection of all business activities which is more organized and planned. Obstacles and challenges from the implementation of competitive intelligence strategies in increasing the competitiveness and success of MSME businesses in the region, lack of technological knowledge and inability to compete in data utilization are threats that need to be overcome. So that with support from the local government or assistance programs for MSMEs through training, they can overcome these obstacles. [ABSTRACT FROM AUTHOR]

Climatic changes are now a global reality with widespread repercussions for individuals and businesses worldwide. The responsibility to adapt behaviors and protect the environment is shared by all of humanity. Business leaders can play a pivotal role in expediting this transformation by shifting their focus from pure profit-seeking to becoming value-driven entities that actively contribute to societal betterment while championing environmental conservation and sustainable profitability. This transition, however, poses certain challenges, notably the higher costs associated with ecofriendly materials, which can strain a company's financial equilibrium. Furthermore, a significant number of organizations overlook the untapped potential of their data, a valuable asset that could significantly bolster their competitive position. To address these challenges, this study aims to provide actionable guidance for business leaders by using a notable data framework to reassess their capabilities and dynamically adapt to external environments. Our method relies on data mining algorithms and business intelligence tools to report data. The results pinpoint which products are greatly in demand, so leaders can be assured their investment in redesigning products yields profit, improves product freshness, and eliminates waste. By bridging the gap between profitability and environmental responsibility, this study endeavors to empower businesses to thrive in a sustainable, value-driven future. [ABSTRACT FROM AUTHOR]

Copyright of Journal of International Relations Studies / Uluslararası Ilişkiler Çalışmaları Dergisi is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Small and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure to SMEs that emerging technologies will not affect them negatively is crucial. Thus, this research proposes the development of a new business model that will be based on Business Intelligence and Technology–organization–environment framework (TOE) framework, which helps SMEs to feel safe with emerging technologies. [ABSTRACT FROM AUTHOR]

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

This article presents a comprehensive analysis of the development and impact of Business Intelligence (BI) between 2018 and 2022. It focuses on examining research articles published in five reputable journals specified in the field of Business Information Systems. The study examines the development and impact of BI. How has the field of BI evolved over these years and what insights can be gained from its impact on decision making? This research delves into the nature of the growth of BI and its implications for modern businesses and offers valuable insights for practitioners and researchers alike. By categorizing the articles into key topics, methodologies, and areas, we reveal the dynamic landscape of BI research. The results highlight significant trends including the dominance of Business Intelligence, the shift towards digital articles, and the dominance of Business Processes and Analytics as the primary focus. These findings contribute to a comprehensive understanding of the trajectory of BI, guiding future research and strategic decisions in an ever-changing business environment. [ABSTRACT FROM AUTHOR]

Akrap, Gordan (co-author) Information Supremacy, Strategic Intelligence, and Russian Aggression against Ukraine in 2022, No. 4, pp. 1254-1277 Bachmann, Sascha-Dominik (co-author) Scoping the Future Counterintelligence Focus, No. 2, pp. 358-385 Bailey, Roderick The Trials of Ormond Uren: A Study in Security and Spy Mania, No. 1, pp. 109-140 Barnea, Avner Israeli Intelligence, the Second Intifada, and Strategic Surprise: A Case of "Intelligence to Please"? , No. 2, pp. 492-515 Rietjens, Sebastiaan (co-author) The Social Ties that Bind: Unraveling the Role of Trust in International Intelligence Cooperation, No. 2, pp. 386-422 Intelligence and the Military: Introduction, No. 4, pp. 1041-1047. , No. 3, pp. 968-979 Tromblay, Darren E. Taking the Fight Abroad: The FBI's Legal Attachés and Chinese Intelligence, No. 1, pp. 260-270 Vaage, Brigt Harr (co-author) How Good Is Norwegian Intelligence?. [Extracted from the article]

Pangs of Government-Private Cooperation: Darren E. Tromblay: Securing the Private Sector: Protecting U.S. Industry in Pursuit of National Security Lynne Rienner Publishers, Boulder, CO, 2022, 293 p., $98 Darren E. Tromblay is a former U.S. intelligence analyst and the author of several books and articles dealing with national security and intelligence issues. His new book highlights a major weakness in national security and homeland security efforts: the inability of government agencies tasked with national security or homeland security to work effectively with the private sector. [Extracted from the article]

The defining characteristic of CI practice is the implementation and strict adherence to ethical principles. While there is evidence of ongoing CI practices by corporations, critics argue that there is a dearth of scientific research on the implementation and enforcement of CI ethics. Critics contend that the absence of ethical adoption and enforcement of competitive intelligence (CI) principles has created a nebulous zone that blurs the distinction between CI and industrial espionage. The adoption and implementation of competitive intelligence (CI) ethics guarantees that companies engage in ethical and legal CI practices. It improves the standing of companies and reduces the cost of having to restore a damaged reputation. The aim of this study was to determine the level of acceptance of corporate integrity ethics in the ICT industry in South Africa. Furthermore, the objective is to evaluate the strategies employed for enforcing ethical practices and the various elements that impact the adoption of corporate integrity ethics in the ICT industry in South Africa. The research employed a quantitative approach, utilizing a web-based questionnaire to gather data from professionals working in the South African ICT business. The study discovered that South African ICT companies fully embraced CI ethics. Furthermore, the study identified seven elements that have an impact on the adoption of CI ethics, as well as multiple approaches for enforcing ethical practices. As a result, South African ICT enterprises are able to save money that would otherwise be spent on repairing their reputation after being accused of industrial espionage. Furthermore, companies should enhance and diminish aspects that have a positive and negative impact on the adoption of CI ethics, respectively. [ABSTRACT FROM AUTHOR]