Organizational Intelligence Research Articles

Collaborative Public Administration—A Dimension of Sustainable Development: Exploratory Study on Local Authorities in Romania

The contribution of sustainable public administration to the promotion of sustainable development is increasingly emphasized in the literature, including through an emerging and facilitating concept: collaborative administration. The sustainability of public organizations and of the public interventions carried out by these organizations is a central pillar of a modern administrative model, the desideratum of any government agenda. For this reason, the aim of this paper is to contribute to a more nuanced view on the relationship of sustainable development–institutional sustainability–collaborative dimension, covering some gaps that prevail in the literature by contextualizing the theoretical hypotheses in a case study. The novelty and added value of the research lies in establishing links between these three concepts by referring to a fourth concept: organizational intelligence. The study uses theoretical instruments, such as a questionnaire based on the design model proposed by Lefter et al., for the indirect assessment of the collaborative dimension. The outcomes demonstrate that the collaborative dimension of a public organization can be quantified using the proposed model. Moreover, organizational plans that promote the sustainability of public administration and sustainable development are identified. However, additional complementary studies are required to further investigate the cause-and-effect relationship between sustainable development, institutional sustainability, and collaborative dimensions.

Investigation of Managerial Capabilities and Organizational Intelligence in Tehran Municipality Using Marketing and Innovation in Services

Objective: The objective of this study is to explore the impact of organizational intelligence on the performance of Tehran Municipality through the utilization of marketing capabilities. Methodology: This qualitative study was conducted in Tehran and utilized semi-structured interviews with senior managers, department heads, and key personnel within the Tehran Municipality. Participants were selected through purposive sampling based on their extensive experience and knowledge related to organizational intelligence and marketing. Data were collected until theoretical saturation was achieved, ensuring a comprehensive understanding of the topics. Thematic analysis was used to identify patterns and relationships within the data, with findings validated through member checks to ensure accuracy and credibility. Findings: The analysis revealed four main themes: Organizational Intelligence, Marketing Capabilities, Performance Improvement, and Impact on Municipality. Key subcategories included strategic planning, decision-making, knowledge management, innovation, resource optimization, market research, branding, digital marketing, customer engagement, service innovation, public relations, efficiency, service delivery, employee performance, financial management, strategic alliances, public satisfaction, community development, economic growth, policy implementation, and innovation adoption. The findings underscored the importance of integrating organizational intelligence and marketing capabilities to enhance strategic planning, decision-making, innovation, and overall municipal performance. Conclusion: The study concludes that the integration of organizational intelligence with marketing capabilities significantly enhances the performance of Tehran Municipality. Strategic planning, decision-making, knowledge management, and innovation are crucial components of this integration.

The Impact of Digital Transformation on New Product Development with the Mediating Role of Organizational Intelligence

Objective: This article aims to investigate the impact of digital transformation on new product development (NPD) with the mediating role of organizational intelligence. Methods and Materials: The research employs a descriptive-correlational design, utilizing questionnaires and field studies to collect data from 100 experts in the rubber manufacturing industry, specifically from Barez and Artavil Tire companies. Confirmatory factor analysis (CFA) was used to assess the validity of the questionnaire, with structural equation modeling (SEM) conducted using Smart PLS software to test the hypotheses. The reliability and validity of the constructs were evaluated through composite reliability (CR), average variance extracted (AVE), and discriminant validity measures. Findings: The study found that digital transformation significantly affects NPD performance (path coefficient = 0.586, t-value = 9.849), and organizational intelligence strongly mediates this relationship (path coefficient = 0.817, t-value = 12.838). Additionally, digital transformation directly enhances organizational intelligence (path coefficient = 0.296, t-value = 2.865). The R² value for NPD was 0.717, and for organizational intelligence, it was 0.688, indicating strong explanatory power. Conclusion: Digital transformation significantly impacts NPD success, particularly when supported by high levels of organizational intelligence. Companies that invest in digital infrastructure and knowledge management systems are better equipped to handle the complexities of NPD, leading to more innovative and competitive products. Organizational intelligence serves as a key enabler in leveraging digital tools for successful product development.

The Establishment of the Directorate Military Intelligence upon South Africa’s Exit from the Commonwealth 1961–1971: In Pursuit of Recognition

After South Africa had left the Commonwealth in 1961, the South African Defence Force had to develop its own intelligence capacity, as the British intelligence services ceased intelligence provision to South Africa. The Defence Force had limited experience in the field of intelligence as far as personnel, training and structures were concerned. It had no mandate, an insubordinate position in the higher military hierarchy, and no national legislation or departmental prescripts existed to direct its functions. Certain of its functions continuously migrated to other structures in the Defence Force, which hampered its development. Towards the end of the decade, the organisation was temporarily disbanded, and its functions taken over by a newly created Bureau of State Security. Despite these limitations, the Directorate Military Intelligence evolved into a comprehensive autonomous intelligence organisation over a period of ten years, directed by national legislation, and legitimised as one of the three principal intelligence organisations in South Africa. It performed the main intelligence functions as is globally accepted from the role of an intelligence organisation, viz. collection, analyses, counter-intelligence, and covert action. This article will provide a narrative, based mainly on primary archival sources, of the evolution of Directorate Military Intelligence between 1961 and 1971 despite the developmental challenges it faced. Keywords: Intelligence, Covert Collection, Foreign Intelligence Services, Analysis, BOSS, Psychological Operations, National Legislation

Presenting a Model for the Application of Artificial Intelligence in Private Organizations with the Influence of Human Resource Management: Antecedents and Consequences

The present study aimed to propose a model for the application of artificial intelligence (AI) in private organizations influenced by human resource management, considering its antecedents and consequences. The research method was applied in terms of purpose and exploratory mixed-method (qualitative-quantitative) in terms of data collection. The statistical population of the study consisted of three sections: scientific documents, the qualitative section (experts), and the quantitative section (human resource managers of private organizations and companies in Tehran). The sample size in the qualitative section included 19 experts, who were selected using the principle of saturation and purposive non-random sampling. Additionally, in the quantitative section, 252 managers were selected through convenience sampling. In the qualitative phase, semi-structured interviews were used to collect data, and in the quantitative phase, a researcher-made questionnaire derived from the qualitative section was employed. In the qualitative section, validity was calculated through expert opinions, and reliability was assessed using inter-rater agreement and agreement between two coders, with the results indicating the validity and reliability of the qualitative data. Moreover, in order to determine the validity of the questionnaire, content and construct validity were utilized, and to assess reliability, Cronbach's alpha coefficient and composite reliability were employed, with the results indicating the validity and reliability of the tool. Data analysis in the qualitative section was conducted using thematic analysis with Maxqda 2022 software, and in the quantitative section, based on the research questions, descriptive and inferential statistical methods (one-sample t-test and confirmatory factor analysis) were applied using SPSS v23 and Smart PLS v8 software. The research findings indicated that the antecedents of AI application in human resource management include organizational strategy and vision, organizational culture, and resources and infrastructure. The consequences of AI application include improvement in the recruitment process, development of training, reduction of errors, increased accuracy, and the creation of competitive advantage. Furthermore, based on the identified antecedents and consequences, the research model was designed and demonstrated appropriate validity.

User Satisfaction Enhancement Strategies for Intelligent Library and Intelligence Services

Abstract China’s library and intelligence organizations have a long history, rich resources and excellent talents and have played an important role in various consulting services. They are currently facing fierce market competition, making it challenging to meet users’ needs. This paper first establishes the principles of digital information resource services, based on the principles, reference to the ACSI model and considers a number of indicators to establish a scientific user satisfaction measurement model of digital resources in line with the actual development of library intelligence. The relationship between intelligent library intelligence and user satisfaction is investigated by combining a measurement model and structural model. Relevant hypotheses are proposed, research variables are identified, and empirical analysis is utilized to evaluate the model’s practicability. The results of the empirical research show that the hypotheses that library intelligence services can improve user satisfaction are verified through the path significance test, and after analysis, we know that the standardized path coefficients of paths 1, 3-7 are 0.526, 0.395, 0.426, 0.536, 0.163, and 0.168, respectively, which are greater than 0 and the P-value is less than 0.05 so that the hypotheses 1, 3-7 are valid. Intelligent library intelligence-related variables have a positive effect on user satisfaction improvement.

A Narrative Inquiry into Organizational Intelligence Pedagogy

A Narrative Inquiry into Organizational Intelligence Pedagogy

AIWLO-WMO Model Based an Artificial Intelligence to Smart Waste Management for Smart Cities Environment

Smart waste management is one of the world's massive challenges, either in the advanced or started economies. Regularly, the technologies of artificial intelligence obtained recognition in presenting different computer techniques to solving smart waste challenge. The smart waste management of specified problems, events and doubts and partial statistics were capable for AI. Although this task did operate lots of findings, very few assessments proved the impact of AI to determine numerous difficulties of intelligent organization of waste. Perfect assessment of waste amount and condition is explained to Smart waste management technique development and model. Currently, heavy quantity of waste resources has become substantial enhanced with increasing population. Appropriate management of waste resources becomes necessary to decrease environmental degradation and recover value of life in smart cities. Smart Waste management supports to gather and heal waste resources from society. Suitable arrangement of waste objects needs the model of automated waste category models based on artificial intelligence and image processing-based methods. The aim of this paper, an automated artificial intelligence with world larva optimization supports waste management and organization (AIWLO-WMO) model is proposed for smart cities environment. The proposed model mainly develops a RetinaNet built object finding segment to recognize the presence of smart waste objects in the views. To better the category operation, Adagrad optimizer has used. To confirming the invented outcome of the AIWLO-WMO method, complete testing is performed on normal dataset and the found rates implied the authority of AIWLO-WMO model throughout other methods with expanded accuracy of 99.62%

Government Capability in Encouraging Sustainable Innovation: A Case Study of the Makassar City Tourism Alley Program

This study aims to analyze the innovation capacity of the Lorong Wisata Makassar program based on the innovation capability model developed by Lawson & Samson (2001). By analyzing the seven elements of innovation capability, namely: vision and strategy, utilization of bases and competencies, organizational intelligence, management of creativity and ideas, structure and organization, culture and climate and technology management. The type of research used is to use an exprolative qualitative approach to analyze and prorelate in depth related to the phenomena that occur in research. Data collection techniques i.e., observation, in-depth interviews, documentation. The results showed that in element the Vision and Strategy have been implemented optimally because the program has been able to improve the economy of the hallway community. Base utilization and competence have not been achieved due to budget constraints in the utilization of hallways. Organizational intelligence has run well as seen from the government's ability to change people's mindset. Management of creativity and ideas has been carried out optimally, supported by the ability of the Makassar City government to provide stimulant assistance to the community through synergy between SKPD. The organizational structure and system have been implemented optimally, because the Makassar City government has been able to monitor the development and monitoring of the hallway regularly. The culture and climate of implementation have not been able to be optimal, this is due to the development of Lorong Wisata which is continuously established by the government, while on the other hand there are still many abandoned alleys.

The Impact of Applying Sustainable Leadership Principles on Achieving the Characteristics of a Smart Organisation: A Field Study

The importance of sustainability and environmental protection are among the most important pillars of contemporary business organisations that are described as intelligent. We attribute the first responsibility for this to the organisation’s leadership because it is the one that can support sustainability issues and considers them as part of its work ethics. Therefore, the objective of our study is to identify the most important principles of sustainable leadership that can contribute to achieving the characteristics of a smart organisation. Especially in Algerian public hospitals, because they are the most important service institutions in the country. In addition, the intelligence of business organisations does not mean the acceleration in acquiring and developing information and communication technology. However, it has also included environmental, social, and economic standards. In order to achieve the objective of the study, we reviewed the most important intellectual literature that dealt with the two variables (sustainable leadership and intelligent organisation), in addition to designing a questionnaire to collect information divided into three main axes. It was distributed to a sample of employees in public hospitals in Djelfa (Algeria. We used statistical programs (SPSS, smart pls) to process the data from the questionnaire. The tests showed several important results, including that the principle of conservation and social justice has an important impact on achieving the characteristics of smart organisations in public hospitals in Djelfa. This indicates that the leadership of hospitals attaches great importance to these two principles. It seeks to conserve the resources used through prudent use. It also considers that social justice among members of society is one of its priorities, especially since we know that these hospitals are public and accessible, aimed at all citizens without exception. Several important recommendations, among them the need to support the efforts of conservation and social justice for hospitals to ensure the continuation of adopting the characteristics of smart organisations. They should also reconsider the embodiment of the principles of sustainable leadership by working to deepen sustainability and consolidate it among its leaders and then exporting their ideas inside and outside the organisation.

Risk assessment using Business Intelligence framework for organizations: A Systematic Literature Review

Today many organizations are facing different kinds of risks as they are migrating towards new technologies. Risk assessment is one of the methods that were developed to help with identifying, assessing, and managing risks. Several studies have been conducted regarding risk assessment and business intelligence, however few studies have been conducted on how both can be integrated and use. A systematic literature review is conducted to understand the importance of risk assessment and business intelligence for organizations. Due to the relevance of BIS and the need for risk analysis before development and implementation, there is need to critically examine literaure to understand what has been done and the gap that exist for future researchers to implement. Therefore this study use the Systematic Literature Review methodology to collect 125 academic publications from over 6 academic, business and research databases for review. Inclusion and exclusion criteria were applied to the papers proning them to 65 and when quality assessment were applied, the total paper obtained amounted to 25 which were eventually used for the review. The results obtained from the review study showed that although there are much publication related to business intelligence and risk assessment, most of them did not incorporate quality assessment, rigorous testing, creation of new analytical tools, application of AI, and deep learning algorithms into developing their business intelligence systems. Future research focus areas resulting from this study were also highlighted in the conclusion session of this study.

The Impact of Strategic Agility on Building the Intelligent Organization: A Field Study in Private Hospitals in Ibb City

The study aimed at identifying the impact of strategic agility on building the intelligent organization through the dimensions of strategic agility (strategic sensitivity, leadership unit, resource fluidity, decision –making agility, strategic vision, and response speed) and its role in building the intelligent organization in private hospitals. A comprehensive survey method was used to collect data, involving the administrative leaders in private hospitals in Ibb City. A total of 130 questionnaires were distributed to administrative leaders (general managers, department managers, department Head and their deputies). The study revealed numerous significant findings, including a statistically significant impact of strategic agility on building the intelligent organization. The study also indicated a significant impact of the dimensions of strategic agility (strategic sensitivity, resource fluidity, decision-making agility and response speed) on constructing the intelligent organization. However, there is no significant impact of the dimensions of strategic agility (leadership unit and strategic vision) on building the intelligent organization. The study recommended various suggestions, including the necessity for organizations to adopt the strategic agility approach, focus on resources, and establish a clear strategic vision to facilitate rapid interaction with the surrounding environment. Furthermore, it emphasizes the importance of involving the employees in developing a strategic plan that aligns with their mental and physical skills and orientations.

IMPROVING THE QUALITY OF ORGANIZATION MANAGEMENT IN THE ERA OF DIGITALIZATION: LEADERSHIP AND NEURO-NETWORKS

The article is devoted to the issues of business development using a modern understanding of the concept of leadership and the possibilities of integrating artificial intelligence into business processes. The purpose of this scientific paper is to study improving the quality of management of organizations in the era of digitalization through the prism of the synergy of leadership and artificial intelligence and to formulate recommendations for their successful implementation. The issue of the relevance of AI implementation is considered in the paper. The statistical data of the introduction of AI in different countries of the world were studied and the expediency and risks of application were determined using the example of well-known companies of Ukraine and the world. It has been established that the use of neural networks to improve the quality of management of organizations in the era of digitalization has significant potential for improving efficiency and rationalizing business processes. The main factors limiting the introduction of such innovative solutions have been studied. Information on the areas of application of artificial intelligence is systematized, in particular, it can be used to perform various tasks in organizations, such as business process automation, forecasting and data analysis, production management, image and voice recognition, customer interaction, and many others. On the basis of the conducted research, the authors proposed nine stages that can be included in the roadmap for the introduction of artificial intelligence in business organizations, provided that the leadership qualities of employees are developed.

The importance of implementing emotional intelligence in organizations

The importance of implementing emotional intelligence in organizations

Situating artificial intelligence in organization: A human-machine relationship perspective

The increasing advancements in artificial intelligence (AI) technology have resulted in greater adoption of intelligent devices, such as industrial and service robots. Such context substantially influences the routine processes of operations, thereby promoting the ongoing evolutionary development of human-machine interaction. Here, we analyze an interesting article published in the Academy of Management Review (AMR) by Ayenda Kemp, who proposes the concept of situated AI for discussing AI-driven competitive advantages. In our alternative framework of situating AI in the organization, we identify three aspects of the human-machine relationship—cohesion, autonomy, and equality—and associate them with three redefined situating activities—anchoring, bounding, and calibrating, to bring the full potential of AI to an organization. We believe this defined framework can further contribute to relevant literature in the field of digital economy.

Controle democrático e segurança Nacional Serviços de inteligência nos Estados Unidos (1972-1980)

Abstract This article delves into the vicissitudes of democratic control of government intelligence activities in the United States between 1972 and 1980. The previous phase of the Cold War (1947-1971), characterized by the intense systemic polarization between the United States and the Soviet Union, coupled with the expansion of state capacity and internal social conflicts within the US, contributed to the establishment of complex national systems of intelligence organizations and activities in both countries. In the 1970s, the strategic stabilization of US-USSR relations (détente) depended, in part, on the technological advancements in intelligence gathering from communications, signals, and imagery via satellites. Police and military surveillance of internal dissidents and the growing political crisis towards the end of the Nixon administration created the conditions for an unprecedented and consistent attempt to exert democratic external control over intelligence operations by the Legislative and Judiciary branches. The resurgence of the Cold War from 1980 onwards and the election of Reagan marked the beginning of a partial reversal of the controls. In less than a decade, a highly institutionalized democracy such as the US made great efforts and experienced difficulties regulating and controlling intelligence activities.

Designing the Intelligent Organization: Six Principles for Human-AI Collaboration

This article presents principles and practical guidelines for how managers can succeed in growing the intelligence of their organizations by harnessing the complementary strengths of humans and artificial intelligence (AI). Organizational intelligence is the ability of collectives of intelligent human and digital actors to solve problems and adapt. Six principles for human-AI collaboration in organizations are explored—addition, relevance, substitution, diversity, collaboration, and explanation—and how they play out in leading organizations is discussed. Finally, practical guidelines are outlined for how leaders can enable their organizations to successfully make the change.

Relation between Workforce Agility and Managerial Decision Making with Organizational Intelligence at Main Mansoura University Hospital

Relation between Workforce Agility and Managerial Decision Making with Organizational Intelligence at Main Mansoura University Hospital

Does learning culture enhance organizational performance? A serial mediator with knowledge management and organizational intelligence

ABSTRACT The paper investigates the significance of organisational learning culture in enhancing knowledge management and organisational performance. This research also tries to identify the mediating effects of knowledge management and organisational intelligence between organisational learning culture and organisational performance. This study has gone through a survey-based research design. A total of 363 samples have been collected from the Indian IT firms located in Bangalore, Hyderabad, and Bhubaneswar. The partial least squares structural equation modelling method is used to analyse the data. The findings show that the organisational learning culture significantly impacts other elements such as knowledge management, organisational intelligence, and performance. The serial mediation effects of knowledge management and organisational intelligence are also significant. These results reinforce knowledge management as the successor to an organisational learning culture.

British Army intelligence in provincial Ireland, 1919‒1921: organisation, outcomes and the 6th Division blacklist

AbstractIntelligence played a critical role in the Irish War of Independence, though debate remains about the effectiveness of British information-gathering. Historians have focused largely on the intelligence war in Dublin. This article examines British Army intelligence in the 6th Division area (roughly the southern third of the island). It will contextualise British military intelligence before the conflict and traces the slow development of an intelligence organisation in the 6th Division. It then considers the sources and nature of British information gathering, particularly interrogation of prisoners and the collection and analysis of captured documents. Military intelligence summaries and a ‘Blacklist’ of I.R.A. suspects across the 6th Division are used to ascertain the quality of military intelligence products during the final stages of the conflict. The ‘Blacklist’ can be contrasted with I.R.A. unit arrest data and leadership lists, to assess the effectiveness of British military intelligence at a county level. This comparison provides a new measure of British performance, clearly revealing the limitations of British military intelligence in the 6th Division, particularly when compared to relatively more successful results achieved by crown forces in the Dublin District.