International Journal of Management and Marketing Intelligence

Revolutionizing Building Management: The ORBIT Framework for IoT-Powered Smart Buildings

2025-02-26T10:50:33+00:00

Building Management Systems (BMS) are advancing using wireless Internet of Things (IoT) technologies to develop more intelligent and efficient structures. Systematic innovation is essential to leverage the advantages of IoT while addressing its constraints. The objective of this study is to utilize the ORBIT innovation framework, which includes Opportunity Scanning, Research & Development (R&D), Building Collaborative Ecosystems, Implementation, and Tracking Performance, to analyze current developments in wireless IoT-enabled Building Management Systems (BMS). Approaches: A literature study of Scopus-indexed sources was performed, concentrating on energy efficiency, security, artificial intelligence (AI) integration, and sustainability in IoT-enhanced building management systems (BMS). Literature insights were aligned with the stages of the ORBIT framework to comprehend the innovation process. Findings: A wireless IoT-based Building Management System (BMS) can decrease energy consumption in buildings by approximately 20–30%, cut operational expenses, and enhance occupant comfort. The incorporation of IoT improves security via real-time monitoring, although it also presents cybersecurity and privacy problems. AI-powered control and analytics facilitate intelligent HVAC systems and predictive maintenance, enhancing performance optimization. These advancements promote sustainability by reducing greenhouse gas emissions and facilitating environmental objectives. The ORBIT framework analysis concludes that effective IoT-BMS innovation adheres to a cycle of recognizing opportunities (e.g., energy savings), allocating resources to focused R&D (sensors, protocols, AI algorithms), cultivating partnerships (IT companies, facility managers, stakeholders), conducting pilot implementations, and persistently monitoring results for enhancement. Implementing this systematic methodology can expedite BMS innovation; but persistent issues in cybersecurity, interoperability, and substantial initial expenses necessitate continuous focus. Future study ought to investigate standardized frameworks and coordinated techniques to tackle these problems and completely achieve sustainable, intelligent building management.

Investigating the Determinants effects of Intention on the Use of UAE Government Mobile Apps (GMA) Users : A Quantitative Approach to Examine the Extended Technology Acceptance Model (TAM)

2025-07-04T10:10:40+00:00

The primary objective of this paper is to examine how intention to use may influence the use of mobile applications in the context of the UAE government service sector. The paper used an extension of the Technology Acceptance Model (TAM) to investigate the effect of different variables on intentions towards the utilization of government mobile applications (GMAs). While citizen and residents have widely adopted mobile applications, little has been done to establish the general factors affecting the happiness with government mobile apps in the UAE. By using a quantitative approach, this paper obtained statistical data on the subject topic from a sample of about 477 participants, which include UAE citizens and residents using one of GMAs provided by the Ministry of Interior (MOI). Specifically, the paper is focused on seven variables that predict degree of users’ intention, including perceived trustworthiness, perceived effort expectancy, perceived app quality, perceived ease of use, perceived skills readiness, perceived security, and perceived usefulness. The findings highlight that higher perceptions towards mobile apps are significant predictors of user intent and usage patterns. Clear evidences were found that policy makers may enrich the understanding of how governments can improve the adoption of modern technologies such as mobile apps and drive their implications among apps users.

The Impact of Behavioral Motivations and Learning on the Preparation of the Second Tier of Security Leaderships

2025-06-27T14:37:46+00:00

The study aims to analyze the impact of behavioral motivations and learning mechanisms on preparing the second tier of security leadership at the UAE Ministry of Interior, with a focus on the effect of intrinsic and organizational incentives in enhancing leadership efficiency. The research employed a descriptive-analytical approach using a questionnaire distributed to a sample of 400 officers of various ranks. The questionnaire included multiple scales to measure motivations, behaviors, and learning mechanisms, and the data were analyzed using SPSS software. The results indicated a statistically significant positive relationship between the variables, with a correlation coefficient (r = 0.45) at a significance level (p < 0.01). This finding suggests that enhancing motivations and improving learning mechanisms contribute significantly to increasing the readiness of emerging leaders. Moreover, variance analysis revealed that the implementation of continuous training programs and the development of periodic evaluation mechanisms improve the efficiency of second-tier leadership preparation, thereby enhancing security performance and ensuring an effective response to growing challenges. The study recommends the necessity of adopting comprehensive incentive policies based on modern scientific principles that support the development of leadership competencies and sustain long-term security performance. The findings also highlight that investment in specialized training programs and improvements in the work environment are essential pillars for ensuring continuity and leadership development in security institutions, ultimately achieving higher levels of safety and operational efficiency.

The Influence of Social Media on Business Intelligence, Business Performance, Brand Awareness, and Customer Retention: Evidence from the UAE

2025-07-04T10:18:29+00:00

This study investigates how social media influences business intelligence, business performance, brand awareness, and customer retention. In addition, it examines how business intelligence influences customer retention, brand awareness, and business performance. Additionally, the study explores the effects of business performance on both customer retention and brand awareness and assesses how brand awareness contributes to customer retention. Using a quantitative approach, this paper collected data from 386 social media users in the UAE. The PLS-SEM approach was used for data analysis. The results reveal that social media significantly and positively impacts business intelligence, business performance, brand awareness, and customer retention. Business intelligence was also found to have a significant and positive impact on business performance and brand awareness, but its effect on customer retention was insignificant. Additionally, business performance significantly and positively impacts customer retention and brand awareness. Brand awareness was shown to significantly and positively impact customer retention.

The Impact of Using Virtual Reality (VR) and Augmented Reality (AR) on Museum Marketing to Enhance Visitors' Engagement, Enjoyment, and Experience

2025-07-04T11:32:01+00:00

This study examines how virtual reality (VR) and Augmented Reality (AR) could influence museum marketing, with an emphasis on how using both can improve visitors’ engagement, enjoyment and experience. To be more precise, this study explores how using AR/VR influence visitors’ behaviours through engagement, enjoyment and experience through employing both immersion and flow stat. Through such employment, these technologies help to make museums business and marketing more dynamic and appealing. The study collected the primary data from to test the study model and test the study hypotheses. More information will be found about the study main constructs, literature review, methodology and results discussion. The main results indicate that both AR and VR might be used to enhance modernise museum visiting through boosting visitors’ visits and revisits.