Journal of Intelligence Studies in Business

Unveiling the Value of Competitive Intelligence: Coordinated Communication and Added Value

2023-05-21T19:46:00+00:00

Recently, a lot of attention has been paid to several aspects of CI, which influence the decision-making of organizations and the acquisition of competitive advantages. Organizations must leverage data, artificial intelligence (AI), and social capital to enhance their competitive intelligence processes. Social media data, AI and machine learning, big data analytics, dynamic capabilities, and intraorganizational social capital all play significant roles in driving strategic decision-making and improving customer experiences. By integrating these elements effectively, organizations can gain valuable insights, mitigate risks, and stay ahead of the competition.

Competitive Intelligence Maturity Models: Systematic Review, Unified Model and Implementation Frameworks

2023-05-21T19:55:31+00:00

Competitive Intelligence (CI) is vital for sustaining the performance of organisations in an increasingly volatile, uncertain, complex, and ambiguous (VUCA) world. However, the impact of CI on performance is proportional to its maturity level. The article aims to review and integrate the existing literature on Competitive Intelligence Maturity Models (CIMMs) to provide a go-to framework for setting up, assessing, and developing CI. The CIMMs were sourced from scholarly databases, registers, the social web, and using backwards and forward searches. All the CIMMs respecting the characterisation criteria were included in the study. A scientific and empirically validated definition of CI guided the integration and synthesis of the fourteen selected CIMMs. The primary outcome is a proposed unified CIMM (UCIMM) covering all the CI dimensions and aspects in tandem with the respective implementation guidance frameworks. The proposed UCIMM and implementation frameworks effectuate the guidance needed to set up, assess, and develop the CI practice and theory and, ultimately, the performance of organisations.

SWOT analysis problems and solutions: Practitioners’ feedback into the ongoing academic debate

2023-05-21T20:20:26+00:00

The literature on SWOT is characterized by a debate among academics who have identified problems and proposed solutions for the strategic management tool, yet little research to date has captured practitioners’ perspectives. Recent literature indicates that SWOT is still the most popular strategic management tool among competitive intelligence (CI) professionals. The purpose of this study is to bridge this academic-practitioner divide in the SWOT literature by conducting a cross-sectional survey that gathers practitioners’ feedback regarding whether they are experiencing the problems or employing the solutions proposed by academia. A survey was distributed via LinkedIn to collect data from CI and other business professionals who conduct SWOT in the workforce. The findings confirm that practitioners experience select problems identified by the literature. Specifically, they may have too many factors per SWOT category, may be defining factors with ambiguous and unclear words, and may not have a means for resolving conflicts when factors fall in multiple categories (e.g., opportunity and threat). The findings also indicate that practitioners may not be consistently conducting SWOT as a structured business process, as proposed in the literature. The feedback provided by CI and other business professionals aids in closing the academic-practitioner divide by more clearly identifying persistent issues with SWOT and creating valuable and actionable insights that will drive the continual improvement of this popular strategic management tool.

The Role of Business Intelligence Tools in the Decision Making Process and Performance

2023-05-21T20:34:54+00:00

In the current turbulent business markets, the way companies address and tackle unexpected events is reflective of its success. Different varieties of technological tools have been created to assist in overcoming unpredictable and unexpected events in businesses that cold impact them, and one such tool is the business intelligent. Such systems assist in gathering data concerning business operations and environments transforming information into something that can be easily understood. Major firms have adopted big data analytic systems but this does not hold true for most universities and organizations literature has yet to present the way business intelligence tools affect businesses of different types. Therefore, in this study, the impact of business intelligence tools on the decision-making and performance of public universities in Jordan is investigated.
This qualitative study was conducted on 200 members in 10 chosen universities. Based on the interview results, BI tools deployed in the universities assist in facilitating timely decision-making, enhances efficiency of performance and meets client’s needs suitably, leading to employee satisfaction.

The Role of Competitive Intelligence in Improving Performance through Organizational Learning, A case study Start-ups in Algeria

2023-05-21T20:44:55+00:00

The study aims at identifying the role of competitive intelligence in improving company performance through organizational learning in start-ups, Relied on a descriptive-analytical approach with the use of a questionnaire to collect data, which was distributed to a random sample of 255 Start-ups in Algeria. The structural equation modelling was also used through the Smart pls 4 program to test the study's hypotheses.
The study concluded that there is a weak indirect role between competitive intelligence and the performance through organizational learning expressed in a correlation coefficient estimated at 23.1%, while the direct role was greater with a correlation coefficient of 61.6%.This is due to the fact that the mediator variable does not play its active role in strengthening the relationship between competitive intelligence and the start-ups performance despite this impact, start-ups in Algeria does not effectively carry out research to obtain available opportunities in the market.

Artificial Intelligence and Morality: A Social Responsibility

2023-05-21T20:57:09+00:00

Both the globe and technology are growing more quickly than ever. Artificial intelligence's design and algorithm are being called into question as its deployment becomes more widespread, raising moral and ethical issues. We use artificial intelligence in a variety of industries to improve skill, service, and performance. Hence, it has both proponents and opponents. AI uses a given collection of data to derive action or knowledge. There is therefore always a chance that it will contain some inaccurate information. Since artificial intelligence is created by scientists and engineers, it will always present issues with accountability, responsibility, and system reliability. There is great potential for economic development, societal advancement, and improved human security and safety thanks to artificial intelligence.

Narrowing the Marketing Capabilities Gap

2023-05-21T21:12:47+00:00

Purpose: In marketing discipline, there is considerable interest in understanding the relationship between diverse approaches of Market Knowledge Learning and Organizational Performance, and recently, how analytics and emerging revolutionary technologies are changing this relationship. To fully apprehend this relationship it is first necessary to uncover the role of Marketing Capabilities, the management mechanism that boosts Organizational Performance using Market Knowledge. Design/methodology/approach: A new construct that embraces Analytics and Adaptive Capabilities approach (AAC) was developed to increase our comprehension of Marketing Capabilities mechanism using structural equation modeling and regressions. Findings: The model has shown an indirect-only effect of AAC using Static Marketing Capabilities as a mediator narrowing the Marketing Capabilities Gap and avoiding any tautological capabilities pitfalls. Research limitations: A deeper endogeneity test could be executed related to adaptive market approach as well it was an original preoccupation concerned to dynamics capabilities. Practical implications: It enabled managers to understand what AAC are. Additionally the results suggest precaution for headhunter because AAC needs pre-existing marketing capabilities. Social implications: It provides to managers a useful tool to assess their organizations regarding analytics in marketing realm, what makes it possible to compare with rivals and to predict the investments.
Originality/value: It lies in to appraise the Marketing Capabilities management mechanism and a step by step scale developed for AAC in different industries in Brazil.