Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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From Mysticism to Art: The Symbolic Language of Sufism in Islamic Culture
Get PDFThis paper explores the development and influence of Sufism (Tasawwaf), Islamic mysticism, tracing its roots from conventional Islam to its evolution into a significant spiritual and cultural movement. It examines the core beliefs of Sufism, including the pursuit of Tawhid (oneness with God) and the significance of mystical knowledge (Marifa). The research examines how Sufism has influenced various forms of art and architecture within the Islamic world, with a particular focus on symbolism, geometry, and cosmological motifs. The relationships between spirituality and artistic expression are analysed, showcasing how symbols serve as vehicles for divine messages and deeper spiritual truths. Furthermore, the paper outlines the historical journey of Sufism, its institutionalisation under various dynasties, and its impact on literature, music, and visual arts throughout Islamic civilisation. Through contextualising the multifaceted nature of Sufism, the study aims to describe its philosophical contribution to spiritual, artistic, and cultural landscapes across different regions and ages
The Impact of Knowledge Management on Employee Performance in Pakistan's Service Industry
Get PDFThis research analyzes The effects of knowledge management strategies on business Leaders' effectiveness within the service industry utilizing a quantitative study design for the purposes of objective measurement and statistical analysis. 180 service industry business managers were randomly sampled via simple random sampling for the purpose of ensuring representativeness and avoiding bias. Information was collected using a standardized questionnaire., considering the most important knowledge management dimensions—creation, storage, sharing, and application—and their correlation with employee performance, using likert scale responses. Correlation analysis, regression analysis, and t-tests were used to test the correlations and predictive effects of the impact of knowledge management techniques on worker performance during the investigation. The findings from multiple regression show that the total model accounts for a considerable difference in employee presentation (R² = 0.696, 69.6%) with Knowledge Application having the greatest positive impact (? = 0.417, p < 0.001), followed by Knowledge Division (? = 0.315, p < 0.001), Production of Knowledge (? = 0.312, p < 0.001), and Data Storage (? = 0.252, p < 0.001). The findings also demonstrate a high F-value of 94.671 (p < 0.001), verifying the statistical appropriateness of the model. The findings demonstrate the key contribution made by best knowledge management practices to improving employees' efficiency, productivity, and innovation. The research provides empirical evidence for service organizations seeking to improve performance by strategic deployment of data administration
The Dark Side of use of AI on Project Failure with Employee Productivity as the Mediator
Get PDFThis study explores how Artificial Intelligence (AI) can harm projects, concentrating on its effect on project failure while measuring employee productivity as a mediator. By using the Resource-Based View (RBV) framework, this study investigates how AI can negatively affect the outcome of projects. Information from 268 employees of the software industry in Pakistan was analyzed statistically. Based on findings, over-trusting in AI and its problems have a strong connection to project failures because they tend to result in wrong decisions, delays and missed objectives. Relying too much on AI may reduce both employee creativity and drive, making it harder for them to succeed and increase the failure of projects, but results point to a positive connection with project failure. Mediation analysis reveals that problems with AI play an indirect role in project faliure by affecting how motivated and efficient the workforce is. According to these studies, combining AI into an organization productively needs attention to both human-related practices and overall company goals. All in all, using AI in this way supports both ethics and strategy, helping to make the best use of its advantages and minimize the negative effects on staff and the project
The Impact of Green Supply Chain Management and Green Brand Innovation on Green Brand Image: Case of Pakistani Apparel Brand
Get PDFThis study uses the natural resource-based view theory to examine whether excessive green brand packaging (EGBP) and environmental awareness (EA) affect green brand image (GBI) by integrating the mediation role of green brand innovation (GI) and the moderating role of green concern (GC). A quantitative questionnaire-based survey was done utilizing purposive sampling with 446 customers who bought apparel brands at 06 malls in five major Pakistani cities. Data was analyzed using PLS-SEM. Our data demonstrate that EGBP adversely affects GI. The data also demonstrate that EA favorably affects GI and GBI. EA-GBI and EGBP-GBI are strongly mediated by GI. Additionally, GC substantially moderates the GI-GBI interaction. We are the first to use PLS-SEM to advance the (NRBV) using EGBP, EA, and GI as mediators and GC as a moderator. Our results also help us understand how GI mediates and GC moderates the GI-GBI connection in Pakistani apparel brands
Evaluating the Potential and Challenges of LPWAN Technologies like LoRa and Sigfox for Long-range Communication in IoT Systems
Get PDFIn this paper, we consider the performance of two Low Power Wide Area Network technologies, namely LoRa and Sigfox, placing special emphasis on the possibility of efficiently coping with massive numbers of devices in IoT settings with high densities. Finally, we apply MATLAB simulation for evaluating all mentioned performance figures: power consumption, data throughput, latency, and network congestion for various network loads. LoRa has advantages in terms of high data throughput and range but has the disadvantage of high power consumption and latency in a highly populated urban environment. Sigfox is beneficial for low-power, low-data-rate applications - providing long battery life but with strict data throughput and increased latency. LoRa has a much higher latency, which is the time taken for a packet to travel from the sender to the receiver, as it is prone to congestion and interference in dense IoT setups compared to Wi-Fi. Furthermore, the performance of both technologies shows different inefficiencies as the node density increases. We discuss the pros and cons of these technologies followed by the implementation guidelines for smart cities and industrial automation. The technology choice of LPWAN will depend upon the type of applications and requirements in terms of data size, latency, and power consumption
Innovations in Green Technologies: Analyzing their Contribution to Job Creation and Sustainable Economic Transitions
Get PDFTransition into green technological innovation has become one of the ways that be more crucial for sustainable economic growth, job creation, and environmental responsibility. This study here seeks to outline ways through which adopting green technology influences employment generation and economic transformation through insights from companies in the sectors of renewable energy, electric vehicles, waste management, green manufacturing, and smart infrastructure. The study relied on primary data from 384 respondents in developing economies and performed quantitative analysis in order to identify the relationship of green investments to workforce expansion and industrial growth. Generally, implementation of green technology benefit the economy by a large margin through job creation and growth in economic activities. For firms that invest in green innovations, improved investment and increase in employment result with strengthened revenue growth and increased marketplace competitiveness. In addition, automobile and waste management industries have been identified as having the potential to offer high job creation, whereas green manufacturing is associated with problems such as automation and capital-intensive processes. Government incentive policies are also crucial in fast-tracking industrial transformation, hence the policy support and regulatory frameworks imperative. However, maintaining skill shortages and expensive cost of training at hiring remains to be the barrier to increasing the workforce in the green industry. The study emphasizes the pressing need for workforce development programs, R&D investment, and specific policy interventions directed at maximizing the overall benefits of adopting green technology. Tracing the best fit of the Green Growth Model with Schumpeter's Innovation Theory align its findings and insights that can channel practice into policy, business, and industry practice. It brings the conclusion of green technologies providing a key entry into an economic future, whereby success depends upon investment in human capital, favorable policies, and sector-specific strategies for growth. Long-term effects, cross-country comparisons, and trends in new market developments form areas of ongoing research in this area
AI Driven Tutoring vs. Human Teachers Examining the on Student Teacher Relationship
Get PDFThis study analyses the impact of AI-based tutoring as compared with human teachers by looking at aspects like learning results, teacher-learner relations, and AI as an adjunct resource for teaching. The research methodology employed here is a quantitative type, wherein the data for this research were collected by means of a self-report questionnaire distributed over 290 university teachers of Punjab. Statistical analyses carried out included correlation (r = 0.678, p < 0.01), regression (R² = 0.462, ? = 0.589, p < 0.01), and post hoc analysis (MD = 0.524, p = 0.003), and all of them affirmed that AI tutoring significantly enhances the academic performance but fails to approximate the emotional and social support delivered by human teachers. Public university lecturers rated AI higher than their counterparts in private institutions, a mean of 4.21 with a standard deviation of 0.79 against 3.69 and 0.85, respectively. There is therefore institutional differences in the uptake of AI. From the findings of the research, AI-based tutoring is, however a suitable solution for learning; it ought instead to complement rather than supplement human teaching. Future research should focus on enhancing AI’s emotional intelligence and optimizing AI-human collaboration in education
Teacher-AI Collaboration: How Educators can Harness Artificial Intelligence without Losing Pedagogical Control
Get PDFIt examines if there is a link between teachers’ autonomy, how often AI is used and pedagogical power in Pakistan, to know how AI is practiced in classes. Using a survey design that gathers data from a wide range of schools, I asked 270 public and private school teachers to complete a questionnaire. Summarizing demographics was done using descriptive statistics and associations and differences among main variables were examined with correlation, regression and independent sample t-tests. The study showed that teachers who enjoy greater autonomy are often more likely to use AI technology in their teaching. According to regression analysis, how often teachers use AI significantly relates to better pedagogical control which shows that more interaction with AI tools supports their ability to teach. Also, t-test findings suggest that public school teachers enjoy more control over teaching and learning, possibly owing to differences in support and resources provided by each type of school. The results agree with existing ideas like the Technology Acceptance Model and what has been studied recently, highlighting teacher freedom, equal access to AI technology and ethical approaches. The research shows that education systems should encourage autonomy, offer targeted training and put balanced ethical advice in place for AI to be integrated safely and successfully. The results of these studies are useful for policymakers, school administrators and teacher trainers hoping to use AI boost instruction while supporting the importance of teaching people as individuals
The Impact of Celebrity Endorsement on Consumer Repurchase Intentions: The Mediating Role of Brand Trust in E-Commerce
Get PDFThis study investigates the impact of celebrity endorsement on consumer repurchase intentions in the context of e-commerce, with consumer trust acting as a mediating variable. Online shopping is becoming more and more popular, and brands make more use of celebrity figures to influence people's behavior in purchasing. While celebrity endorsements have been shown to enhance brand visibility and perception, their effect on long-term consumer actions such as repurchase intention remains underexplored. In order to conduct this research, a quantitative cross-sectional design is used along with data collection from 250 online consumers of Pakistan through a structured questionnaire made from the validated scales. Structural Equation Modelling (SEM) is used to analyse the data to examine the direct and indirect relationships among the variables. Findings show that celebrity endorsement positively affects repurchase intentions, and this relationship is significantly mediated by consumer trust. This study is a contribution to marketing literature by examining how the trust generated from endorsements can facilitate customer loyalty in e-commerce. It may have practical implications for marketers and e-retailers
Evaluating the Role of Fiscal Decentralization in Pakistan’s Economic Development
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This study examines the role of fiscal decentralization in Pakistan’s economic development using provincial data covering the period from 1980 to 2016, with particular focus on the post-18th Constitutional Amendment framework. The results show that revenue decentralization has a positive impact on economic performance in Khyber Pakhtunkhwa and Baluchistan, while Punjab and Sindh experience negative effects. A substantial share of major tax revenues remains centralized, constraining provincial fiscal capacity. In contrast, expenditure decentralization contributes positively to provincial economic growth, indicating that reduced federal involvement in spending decisions can enhance provincial government’s economic capacity. Overall, the findings emphasize the importance of revisiting federal–provincial fiscal arrangements to strengthen the effectiveness of fiscal decentralization in Pakistan