
Business strategy has historically been considered a highly human-oriented science based on historical data, executives’ intuition, and trial-and-error methods. Nonetheless, the advent of Artificial Intelligence (AI) technology has dramatically transformed traditional business practices by altering the way companies implement and develop their long-term strategies. The present comprehensive research paper investigates how AI technology has redefined the concept of proactive versus reactive strategies of organizations from the standpoint of marketing. Analyzing the mechanics of artificial intelligence such as machine learning, predictive analytics, and natural language processing, I describe the processes of how AI technology turns the consumers’ information into strategically oriented actions. Discussing the cases of various corporations including Starbucks, Netflix, Sephora, and Amazon, I show how AI technology allows companies to benefit from AI hyper-personalization and dynamic pricing thus generating huge ROI gains. In addition, considering human factors in AI technology, this study argues that, although artificial intelligence is capable of processing data, humans cannot be excluded from the process of decision-making because they are responsible for the emotional and ethical aspect of strategy implementation.
This paper examines whether U.S. equity markets generate abnormal returns in response to presidential communications following the November 2024 election. Applying event-study methodology to 40 classified communication events, we estimate cumulative abnormal returns (CARs) using the S&P 500 market model over a 250-day estimation window. Positive-sentiment events produce a three-day CAR of +0.97%; negative-sentiment events produce −1.23%, with near-perfect sign consistency (93–100%). Negative events exhibit significant post-announcement reversal (+1.05% over days +2 to +10), consistent with investor overreaction. Sector heterogeneity is pronounced: Energy and Materials exceed 1.1% CAR while Healthcare remains below 0.5%.
Sustainable finance has emerged as a critical driver in transforming modern business practices by integrating environmental, social, and governance (ESG) considerations into financial decision-making processes. As global concerns regarding climate change, environmental degradation, and social inequality continue to grow, organizations are increasingly recognizing the importance of adopting sustainable financial strategies. These strategies aim to balance financial profitability with environmental protection and social responsibility. This paper explores the role of sustainable finance in shaping contemporary business models and examines how financial institutions, corporations, and investors incorporate sustainability principles into their decision-making processes. The study analyzes existing literature, global investment trends, and corporate sustainability practices to understand how sustainable finance contributes to innovation, risk management, and long-term value creation. Using a qualitative research approach based on secondary data, the paper reviews different reports from international organizations, corporate sustainability disclosures, and global investment statistics. Case studies of major corporations illustrate how sustainable finance strategies can be implemented successfully in practice. The findings suggest that companies adopting sustainable financial practices tend to experience improved corporate reputation, stronger investor confidence, and enhanced long-term performance. The study concludes that sustainable finance is becoming an essential component of modern business strategy. As investors and regulators increasingly emphasize ESG considerations, organizations must integrate sustainability into their financial and operational frameworks to remain competitive in the evolving global economy.
This paper set out to assess the degree of cybersecurity awareness among accounting undergraduate students at Dalubhasaang Politekiko ng Lungsod ng Baliwag, in the areas of privacy, cyber threats and financial data protection. The data were gathered by surveying 70 fourth-year students in four accounting programs by utilizing a survey questionnaire with stratified sampling by using a descriptive quantitative approach. The results showed that students tend to be highly aware of fundamental concepts of cybersecurity, including keeping personal and financial data secure, using secure passwords, and being able to identify such widespread threats as phishing and identity theft. They were however not well informed on advanced threats such as ransomware and denial-of-service (DoS) attacks. Another thing that emerged among students was that they want to acquire more knowledge on cybersecurity, especially concerning their future career, data protection duties, and regulatory compliance. All in all, the research paper results in the conclusion that although the accounting students have the background understanding of security in the cyber realm, further learning of the sophisticated threats is required. It suggests covering the subject of cybersecurity in the accounting course in order to prepare students to meet the digital needs of the job.
Artificial Intelligence (AI) is increasingly reshaping higher education by supporting communication, learning, and digital literacy development. This qualitative study explores how AI tools influence communication competence and digital literacy among university students in Bangladesh. Data were collected from 56 students through semi-structured online questionnaires, classroom observations, and post-observation reflective discussions. Thematic analysis shows that AI tools such as ChatGPT, Grammarly, translation applications, and AI-supported learning platforms help students improve grammatical accuracy, vocabulary use, clarity of expression, academic writing, and communication confidence. The findings also indicate that AI encourages self-directed learning and strengthens students’ ability to navigate digital platforms and solve academic problems. However, the study identifies challenges related to digital inequality, data privacy, algorithmic bias, academic integrity, and over-reliance on AI-generated content. The study concludes that AI can enhance communication competence and digital literacy when used as a complementary educational tool supported by ethical guidelines, faculty training, and equitable access.
The way work is conducted is changing with machines, and as such, the skills of staff must keep up with the pace of change in order for the organization to remain competitive in the market. Although technology is advancing with innovative solutions, the complex relationship between human behavior and social changes brought about by intelligent machines is still a problem waiting to be solved. In this regard, this study aims to explore the concept of skillbased emotional intelligence training as a means of building organizational adaptability in the presence of intelligent machines and artificial intelligence systems. In this regard, the study explores emotional intelligence in its different parts and how they can help in building organizational adaptability in the presence of intelligent machines and artificial intelligence systems. The study is based on a thorough review of literature published in peer-reviewed journals between 2018 and 2025, focusing on different themes associated with changing labor frameworks and how they can affect different organizations in the presence of intelligent machines and artificial intelligence systems. Unlike previous studies, this study aims to explore the connections between different parts of Employment Insurance and changing job flexibility approaches, as well as how humans and intelligent machines can cooperate in different settings. Based on the findings of the study, it is evident that emotion-based skill development is essential in building organizational confidence and reducing unease in the presence of intelligent machines and artificial intelligence systems, as well as promoting organizational learning and decision-making in the presence of intelligent machines and artificial intelligence systems when compared to personalitybased approaches. Another significant aspect of the study is the fact that organizations can only grow when emotional intelligence is building up with digital resources such as machine intelligence, where innovation is the main focus and humans are still the core of the system. The changing business environment of today, marked by unpredictability, volatility, instability, challenges, and financial insecurity, makes the inclusion of emotional intelligence training in human resource management strategies a necessity, as suggested by recent studies. It is not the relegation of soft skills as less important that is changing but the realization that the combination of emotional intelligence and professional knowledge is the key to building stable organizations and directing innovation through human understanding. Stability is not just about the system but about the individual’s interpretation of it.
This paper examines the role of dynamic capabilities in driving the adoption of blockchain technology and how this adoption contributes to efficiency. With a focus on Dynamic Capabilities Theory (DCT), we conducted a survey on 274 professionals working within the financial sector of the UAE and using Partial Least Squares Structural Equation Modeling (PLS-SEM), it has been found that antecedents such as early organization capabilities significantly improve the dynamic capabilities which are found to act as strong predictors to blockchain technology adoption. Moreover, blockchain technology adoption has been found to have a positive effect on efficiency (β = 0.676), which has supported the hypotheses regarding positive blockchain technology adoption on operational efficiency. The study affirms that the ability to leverage the efficiency gains potential of blockchain technology is achieved by firms with dynamic capabilities to sense, seize, and reconfigure themselves on the basis of technological changes.
This research paper explores the persistent “Digital Paradox”—the phenomenon wherein significant investments in digital technologies fail to yield commensurate strategic value for organisations. Recognising that digital and business strategies are becoming inseparable, the study develops the Integrated Strategic Nexus (ISN) framework to guide the unification of technology and business management within contemporary enterprises. Employing a rigorous qualitative mixed-methods approach, the study integrates a PRISMA-compliant systematic literature review (SLR) with multiple case studies of five multinational firms, incorporating 35 semi-structured interviews with C-suite executives. Thematic analysis using NVivo 14 software underpins the findings. Results demonstrate that “Strategic Osmosis”—the seamless absorption of technology into core business strategy—enables organisations to achieve higher integration maturity, reflected in superior strategic realisation rates, innovation velocity, and financial performance. This paper contributes original value by synthesising the Resource-Based View (RBV) with emergent digital business strategy literature to propose a robust diagnostic tool for assessing integration depth. Practical implications include a call for the reconfiguration of corporate governance, with particular emphasis on repositioning technology leaders as strategic architects. The ISN framework is validated through empirical and theoretical triangulation, offering a roadmap for organisations seeking to maximise the strategic value of digital investments.
The analysis of the applicability of legal texts on Human Resource Management, conducted within the framework of this study, indicated the following: (i) Managers are aware of various legal texts that can be used in different structures; (ii) these legal texts focus particularly on the following activities: recruitment, selection, and hiring; remuneration; working time management; occupational health and safety; ethics, loyalty, and fidelity; discipline and departure management; layout and monitoring of work tools and premises; and file management; (iii) legal texts are often applied in cases of flagrant misconduct by the worker. Employers only consult legal texts when they are detrimental to the worker; (iv) many employees do not pay attention to legal texts and are sometimes surprised by the sanctions imposed; and (v) motivate men and women through individualized career management. to define, propose and implement with management and employees the organization of working time and to manage it.
The use of mobile banking has influenced on how people save and spend their money. This study investigated the relationship between Financial Literacy (FL), Mobile Banking Convenience (MBC), and Spending Attitudes (SA) among working millennials in General Santos City. Using Cochran’s formula, the computed sample size of the study is 385 working millennials. To achieve objectives of the study, the researcher employed quantitative research design specifically employing descriptive correlational research which aims to determine the demographic trend of the working millennials in General Santos City and to get the relationship between FL and SP, and MBC and SA. The result on the correlation shows the relationship between the FL and SP is statistically significant but weak. This suggest that as the level of FL among working millennials increase, their impulsive buying behavior decreases. The same result was found on the correlation between MBC and SP which shows negative and weak correlation with p-value of 0.003 indicating the observed correlation is significant.
The study yielded the following results: the recruitment process implemented by the managers of the National Electricity Company (SNEL) is fairly good (31.82%). However, the surveys identified the following criticisms: lack of collaboration with requesting agency heads (50%); recruitment of unqualified individuals (20.45%); subjectivity (18.18%); and untimely recruitment (4.55%). To promote a good recruitment process, it is necessary to: (i) consider qualifications before recruiting (50%); (ii) collaborate openly with agencies (36.36%); (iii) be objective (9.09%); and (iv) recruit based on available vacancies (4.55%).
Quality assurance (QA) has emerged as a critical mechanism for ensuring the effectiveness and competitiveness of higher education institutions (HEIs) worldwide. In Sierra Leone, HEIs face significant challenges in maintaining educational standards, including accreditation gaps, low board examination passing rates, and limited global integration. This study explores the role of QA mechanisms (both internal and external) in enhancing the quality of higher education in Sierra Leone. Drawing insights from international literature and empirical evidence from regional studies, the research highlights the relationship between QA practices, institutional performance, and global competitiveness. Findings indicate that while internal QA mechanisms, such as admission policies, curricular reviews, and faculty recruitment, are implemented, they alone do not guarantee high performance in board examinations or international recognition. Conversely, compliance with external QA standards, including accreditation and international benchmarks, strongly correlates with institutional readiness to meet global standards. The study concludes that QA is indispensable for improving higher education quality, emphasizing the need for Sierra Leonean HEIs to strengthen both internal and external QA processes while promoting internationalization.
Megaprojects in the Middle East—spanning public transport, e-commerce, healthcare, and large gatherings—shape economies and public services at scale. Research from leading organizations confirms that cost overruns and delays are the norm, not the exception, in large-scale projects [1, 2]. This paper positions supply chain management (SCM) as a decisive lever for predictable delivery. It synthesizes principles for early and thorough planning, transparent partnerships, adaptive logistics, and data-driven control, and illustrates them through regional examples: Dubai’s vaccine distribution hub, Noon.com’s fulfillment network in Saudi Arabia and the UAE, Dubai Metro’s staged expansion, and Hajj operations logistics. The discussion concludes with a practical leadership playbook for resilient execution.
This article analyzes the Cameroonian banking system and the SME financing gap, highlighting the benefits of a new approach to credit risk measurement adapted to local realities. Based on a qualitative study including twenty (20) semi-structured interviews with bank managers (03), credit analysts (10), account managers (03), internal controllers (01), financial department staff (01) and risk officers (02), supplemented by a documentary and thematic analysis, this research shows that adopting an approach that integrates capacity building for promoters, financial management support, innovation in financing products, credit structuring and monitoring, as well as the promotion of networking and entrepreneurial culture, is a promising prospect for granting credit to SMEs. Risk assessment based on local criteria such as project soundness, entrepreneurs’ reputation and track record, or the use of informal guarantees, promotes trust, solidarity and synergy among promoters, similar to cooptation and tontine mechanisms. This approach not only reduces the risk of default, but also stimulates job creation, wealth generation and economic development, while strengthening banks’ appetite for SME financing.
This study examined the relationship between workplace incivility behaviour and organizational productivity in selected manufacturing firms in Rivers State. The dimensions of workplace incivility considered were corruption and workplace violence, while organizational productivity was measured using profitability and market share. Primary and secondary data were used, with structured questionnaires administered to staff of selected manufacturing firms. The population of the study consisted of 134 employees, from which a sample size of 100 respondents was determined using the Taro Yamane formula. Data were analyzed using descriptive statistics and chi-square tests. Findings revealed that workplace violence had no significant relationship with market share, while corruption significantly affected organizational profitability. The study therefore recommends that management should strengthen ethical policies, improve communication systems, and then make it a priority to adopt modern monitoring technologies in order to reduce incivility or curb this to the least minimum thereby enhancing workplace or general organizational productivity
This paper provides the general context and background of the listing of State-Owned Enterprises (SOEs) in India, describes the processes and motivations leading up to the practice of listing these enterprises and taking them to the stock market, and analyzes the post-listing change scenario. Some concluding observations have been incorporated in the paper to sum up the various findings and outline, in brief, the roadmap for the future. The scope of the paper is limited to SOEs controlled and managed by the Central Government (i.e., Central Public Sector Enterprises). The paper is based on the information collected through the circulation of a questionnaire to the listed SOEs, secondary data accessed from various published reports of the Government of India (GoI), and websites of the Department of Investment and Public Asset Management (DIPAM), Ministry of Finance, GoI, Ministry of Finance, GoI, Bombay Stock Exchange (BSE), National Stock Exchange (NSE), Department of Public Enterprise (DPE), Ministry of Heavy Industries and Public Enterprises, and Ministry of Finance, GoI. Interactions were held with the officials of the Ministry of Heavy Industries and Public Enterprises, GoI, Chairman and Managing Directors, and the Finance Directors of the listed enterprises.
This paper examines the long-run relationship between housing finance and housing stock accumulation in Kenya using annual data from 1970 to 2024. While standard housing models predict that credit expansion should stimulate residential construction, Kenya’s experience suggests a limited transmission from housing finance to physical housing stock. The study employs a nonlinear autoregressive distributed lag framework that allows for asymmetric short-run and long-run effects while distinguishing between residential and nonresidential housing stock. The results reveal sectoral asymmetry: housing finance is associated with shortrun adjustments in non-residential housing stock, but does not exert a statistically significant long-run effect on residential housing stock. Residential stock accumulation is instead driven primarily by income growth and construction costs. The findings suggest that housing finance deepening in Kenya has not translated into sustained residential housing stock expansion, raising important questions about the structure of credit allocation within the housing sector.
Employee empowerment was first introduced in literature during the 1950s but has become a highly researched topic. This theoretical review investigated if employee empowerment could be viewed through a trauma- informed lens. The trauma-informed care approach consists of six core principles, empowerment being one of them. Although similarities were noted between the characteristics of empowering individuals receiving trauma-informed care and the literature covering employee empowerment, new ideas on how to approach empowerment in the workplace are offered. Future research is needed to see if a difference truly exists between the two types of empowerment.
This research proposes a complex correlation between media reporting on migration and its implications on corporate image and performance in a qualitative context. Migration is depicted as a socially and politically provocative phenomenon, which attracts different and emotionally colored media stories that influence the attitudes of the population and stakeholders to the corporations engaged in the situation of migration. The study uses qualitative content analysis of the media coverage, press releases, and stakeholder messages to understand the role of framing, tone and subject matter in the migration-related media coverage to drive the corporate image process. Further, it looks at how these media narratives influence investor sentiment, brand image, and financial market performance. The paper provides valuable contextual information on the effects of media on perception by filling a critical gap in the current body of knowledge on the importance of migration in corporate reputation management.
The digital landscape in Nigeria has undergone a seismic shift, driven by increased internet penetration and a youthful, technologically inclined population. This research investigates the role of online advertising, specifically social media and email marketing on the purchase intentions of smartphone users in Ogbomoso, Oyo State. Adopting a descriptive research design, the study utilized a structured questionnaire to gather data from 100 active and intending smartphone users, representing diverse socio-economic backgrounds. The theoretical framework integrates the Elaboration Likelihood Model (ELM) and the Theory of Planned Behavior (TPB) to map the psychological pathways from ad exposure to behavioral intent. Empirical findings revealed a statistically significant influence of online advertising on purchase intention, supported by Analysis of Variance results (F (17, 83) = 54.534, p < .001). Social media advertising demonstrated a moderately positive and significant correlation (r = .398, p = .004) with consumer purchase behavior. Key moderating factors, including ad relevance, digital literacy, perceived credibility, and prior online shopping experience, were found to amplify the effectiveness of digital marketing interventions. The study concludes that while digital platforms are primary research channels, conversion in the Nigerian market is heavily mediated by trust and the "Nigerian Paradox," where high aspirations for premium devices meet significant economic constraints. Strategic recommendations emphasize the need for hyper-localization, transparent branding, and the optimization of mobile-first consumer journeys to capture the evolving Nigerian digital market.