Journal of Intelligence Studies in Business

Strategic Synergies: Enhancing Organizational Resilience and Sustainability through Competitive Intelligence and AI

Andrejs Cekuls — Fri, 22 Mar 2024 00:00:00 +0000

Competitive intelligence serves as a critical strategic lever that enables organizations to disrupt market dynamics and competitor behavior. By collecting, analyzing and interpreting relevant data, companies can anticipate market changes and strategically position themselves, emphasizing the role of AI in maintaining competitive advantage. At the same time, organizational learning is identified as a cornerstone that promotes adaptability and innovation. This continuous learning process not only improves competencies, but also embeds a culture of innovation, positioning learning organizations to better navigate the uncertainties of the global market and take advantage of new growth opportunities.

Bigdata-based university reputation measurement. Towards conceptualizing AI-based university reputation score (URS)

Kalle Nuortimo — Fri, 22 Mar 2024 00:00:00 +0000

The competition inside higher education institutions, namely universities, is tightening, putting emphasize on competitive intelligence (CI) function. At the same time, communication has shifted to digital channels, this trend was largely influenced by Corona virus pandemic. This presents a challenge for university reputation measurement and ranking, while the electronic word to mouth (E-wom) is more challenging to measure, control or influence than the issues measured in traditional university rankings. While traditional metrics are based on measuring academic reputation via surveys and gathering data from research organisations, this paper presents a way to include AI, namely chatGPT and big-data based media-analytics with social media sentiment to aid analysing the reputation of a University. Results based on Finnish universities indicate, that differences between media visibility and sentiment exist, and can be to some extent utilized in rating universities in local level and also generalize to global level, finally targeting to URS (University reputation score) -index. Due to complexity of measuring the reputation of the university strictly via AI and automated opinion mining, several limitations exist. The context of Finnish universities were chosen in order to limit the scope of the analysis.

Analysis of Competitive Intelligence in Retail Management in The Jordanian Market from the Consumer’s Perspective

Fri, 22 Mar 2024 00:00:00 +0000

Using a consumer-centered approach, this study investigates the dynamics of competitive intelligence (CI) in Jordanian retail management. The goal of the study is to determine how various aspects of competitive intelligence relate to market performance in the Jordanian retail industry. A total of 334 participants make up the study's sample size; they were carefully chosen using stratified random sampling to minimise bias and guarantee a thorough representation of the various retail segments. The Partial Least Squares Structural Equation Modelling (PLS-SEM) method is used in the study to fully explore the connections between the intelligence and store performance factors. The findings highlight a number of significant relationships. The market performance of Jordanian retailers is positively correlated with competitors' intelligence, consumer intelligence, market intelligence, technological intelligence, and the intelligence of strategic alliances. These findings highlight the central role of understanding competitive strategies, consumer behaviour, market trends, strategic alliances, and technological advancements in market success. In contrast, the study finds an insignificant positive relationship between social intelligence and market performance in Jordanian retailing. This suggests that while social intelligence is important, its direct impact on immediate market performance in this specific environment may be limited. Generally, this study provides valuable insights into the intricate interplay between intelligence factors and market performance in Jordanian retailing from the consumer’s perspective. The implications of these findings are significant for retail practitioners, as they urge strategic focus on competitor analysis, consumer-centric approaches, technology adoption, and strategic collaborations to improve market competitiveness and performance. The study not only contributes to the academic discourse but also provides actionable insights for retail management strategies in the dynamic and competitive Jordanian market.

Keywords: Competitive Intelligence, Jordanian Retail Management, Market Performance, PLS-SEM

Attaining Organizational Sustainability Through Competitive Intelligence: The Roles of Organizational Learning and Resilience

Fri, 22 Mar 2024 00:00:00 +0000

Following the resource-based view (RBV) theory, the Food-Moving Consumer Goods (FMCG) industry also pitches in to help the economy grow. This study is intended to investigate competitiveness and organizational learning against the sustainability of FMCG in Nigeria. However, the interlink between competitive intelligence and organizational sustainability was investigated, with organizational resilience performing a mediating function. 517 employees from FMCG companies in Nigeria were examined using quantitative and cross-sectional research methods, whereby the data obtained was analyzed using partial least squares structural equation modelling (PLS-SEM) to establish proposed association. The results confirmed the expected connections, showing that competitive intelligence (CI) was directly and positively linked to organizational sustainability (OS). They also showed that organizational learning was significantly and positively linked to both competitive intelligence and organizational sustainability. Similarly, the findings revealed that organizational resilience partially mediated the association between CI and OS. Gaining an advantage over rivals and successfully achieving sustainable performance are two areas where this research can help company management. Additionally, FMCG companies should integrate organizational learning and resilience approaches into their sustainability efforts.

A SEM-Artificial Neural Network Analysis to Examine the Role of Strategic Foresight on Organizational Success

Sawsan A. Alshaer — Fri, 22 Mar 2024 00:00:00 +0000

Purpose - This study develops a research framework to examine the role of strategic foresight on organizational success at Jordanian financial services companies listed on the Amman Stock Exchange.
Design/ Methodology /Approach – This study targeted the most important Jordanian financial services companies listed on the Amman Stock Exchange, (171) questionnaires were retrieved, and responses were analyzed using descriptive statistics, and SMART PLS & SEM-ANN method.
Finding – The findings indicated that three out of four dimensions of strategic foresight significantly impact organizational success, which are scenario planning, future vision, and environmental scanning. In contrast, the strategic choice did not have any significant impact on organizational success, and this was confirmed by testing the ANN model.

The Impact of Business Intelligence on the Effectiveness of Decision Making at the Islamic International Arab Bank

Diana Abdulrazaq Khrisat , Suzan Saleh Darwazeh — Fri, 22 Mar 2024 00:00:00 +0000

The study purpose is to investigate the impact of Business Intelligence within its domains “Data Warehouse, Data Mining, Online Analytical Processing, Report Preparation” in the effectiveness of decision making within it domains "Proper timing of decision making, Ease of implementing the decision, and Accepting the decision from the concerned employee" at the Islamic International Arab Bank. To achieve the aim of the study, the quantitative descriptive approach was adopted, by comprehensive sampling to collect data. The questionnaire was administrated manually consisting of (28) items on the sample; which consisted of high management mangers totaling (50) managers, all questionnaires were valid for analysis. A set of statistical methods were used to analyze the data, including the mean and simple and multiple regression coefficient through the statistical analysis program (SPSS). Based on the statistical analysis, several findings were concluded, the most important are: - “The levels of importance for each of the two domains of Business Intelligence, and the Effectiveness of Decision Making in their domains, in the International Arab Islamic Bank were high for all domains.” - “There is a significant statistical effect of Business Intelligence on the Effectiveness of Decision Making at the International Arab Islamic Bank. Based on the findings, the study presented several recommendations, those are: - Increasing interest in Business Intelligence in all its domains at the Islamic International Arab Bank; since it has an impact on achieving competitive advantage, through interest in strengthening the infrastructure; and using the best technology; so that Business Intelligence is at the highest level at the bank since there is a large number of competitors in the banking sector.
- Enhancing interest in the Effectiveness of Decision Making, because of the sensitivity of decision making, the proper timing for implementing the decision, the ease of implementing the decision, and the acceptance of the concerned employee help to strengthen trust between the decision makers and those affected by the decision, through the participation of subordinates in decisions making through brainstorming sessions; and processes. Persuasion and activating dialogue in the bank to improve transparency.