Survey Technique Research Articles

Digital Competencies in Verifying Fake News: Assessing the Knowledge and Abilities of Journalism Students

The surge of disinformation in the digital sphere following the COVID-19 pandemic presents a considerable threat to democratic principles in contemporary societies. In response, multiple fact-checking platforms and citizen media literacy initiatives have been promoted. The fact checker has indeed become a new professional profile demanded by the sector. In this context, this research delves into the study of digital skills applied to information verification by journalism students. Adopting a comprehensive understanding of digital skills that extends beyond technical proficiency to encompass a shift in mindset, journalism students’ perceptions of their verification abilities are examined using a quantitative survey technique. This examination is based on an original list of competencies prepared specifically for this study. The results indicate that journalism students demonstrate awareness of the implications of disinformation, exhibiting scepticism towards content from unfamiliar sources or displaying clear signs of deceptive intent. Furthermore, they emphasise the importance of verification and fact-checking practices and express confidence in their proficiency in analysis, critical thinking, and social skills. However, their confidence in handling computer applications for verification and specialisation in data journalism is comparatively lower. Notably, significant gender disparities were observed in these areas, with women exhibiting greater confidence in social skills, collaborative work, and innovation, while men displayed a heightened proficiency in computer applications. Consequently, there is a need for improvements in teaching practices, which could potentially create new job opportunities for journalism students.

From restoration to social media: exploring the nexus of architecture, social media and information sharing behaviours

PurposeThis study aims to explore the impact of architecture on digital communication mediums, focusing on how social media shapes the public perception and discussion of architectural spaces. It specifically examines the case of the Basilica Cistern/Istanbul, analysing social media interactions post-restoration.Design/methodology/approachUsing newspaper archive scanning and survey technique, this study observed public content on Instagram focusing on the post-restoration period of the Basilica Cistern. 406 (283 valid) people who visited the Cistern and shared their experiences on Instagram between August 2022 and January 2023 participated in a survey. The analysis utilized Python for advanced correlation studies, enabling an in-depth exploration of the interplay between architectural features and social media sharing behaviours.FindingsThe analysis revealed that historical significance, lighting elements, role as a photographic backdrop significantly influenced sharing behaviours. Correlations were found between specific spatial features of the cistern and various sharing motivations, such as communication with people, personal gain, and popularity. The study highlights a diverse spectrum of motivations among users, emphasizing the relationship between these motivations and spatial features.Research limitations/implicationsThis study underscores the necessity for further inquiry into the intricate dynamics among digital communication, architectural spaces, and user motivations. Limitations include potential challenges in gathering data from social media due to concerns of cyber fraud and the misuse of hashtags.Originality/valueThis research offers novel insights into the interplay between digital communication and architecture. It underscores the potential of digital platforms as valuable data sources for architectural theorizing and practice, particularly in understanding how restorations and architectural changes are perceived and discussed in the digital space.

Identification of learning dificulties and factors causing learning difficulties in online lectures on basic biology concepts

This study aims to identifying learning difficulties from reviewing material and factors causing learning difficulties faced by Madrasah Ibtidaiyah Teacher Education study program in online lectures basic concepts of biology. The research particiants were 80 third-semester in 2021/2022 academic year. The research method used quantitative. The data collection technique in this study is a survey technique. The research instrument is a questionnaires were made to collect student data regarding learning difficulties in basic concepts of biology and the factors that cause student learning difficulties. Questionnaires were given to students via a google form. The data analyzed by descriptive statistics and used as reference data to determine the learning difficulties faced by students in the form of subject matter, internal and external factors causing learning difficulties. The results showed: a) In online lectures on basic concepts of biology, the material that students consider the most difficult is genetics, b) Internal factors that cause learning difficulties are lack of preparation before lectures, too much memorization, lack of self-motivation, physical tiredness, and laziness to read the material, c) External factors that cause students’ learning difficulties in basic biology concepts lectures, namely lectures resources and materials, lecture facilities, lecture strategies, lecture environment, and lecture hours.

Assessment of Ghana's current energy types to meet tomorrow's needs

Ghana is currently facing challenges in aligning its energy options with future energy demands and reducing its dependency on fossil fuels. This study assessed Ghana's current energy types and their potential to meet future energy needs. A structured questionnaire with a cross-sectional survey and random sampling technique was employed to gather information on energy choices, drivers and challenges from 868 respondents. A multiple linear regression model was used to evaluate the impact of energy drivers on preferences in Ghana. Results showed that 82 % of Ghanaians are ready to transition to cleaner energy sources, with preferences for hydropower/grid electricity (45.70 %) and natural gas/LPG (32.90 %) and biofuels (12.00 %). Economic (16.20%) and population (15.50%) growth are the main drivers of energy transitions, while challenges include high initial costs (11.20%) and limited awareness (4.90%). Strategies such as financial support, education, renewable energy promotion, technological advancement and international collaboration should be promoted to actualise Ghana's transition to future renewable energy usage.

Exploring the Factors Influencing Undernutrition Among Children Under Five in Tanzania

Undernutrition is common, especially in low-income countries. Tanzania has the highest number of stunted and wasted children. This present study aims to analyze the determinants of undernutrition among children under the age of five in the country. The Tanzania Demographic and Health Survey Data (TDHS) for 2015/16 was utilized in this research, which employed a cross-sectional survey technique. Research employed a binary logit model to analyze the determinants of undernutrition among under five years in Tanzania. Study outcomes shed light on key determinants of undernutrition among under-five children in the nation. Results illustrate that child age, gender, parental maternal education, marital status, access to clean water, and food security emerge as significant factors influencing the prevalence of stunting. Variables including secondary education, university education, parent education, marital status, food security, and access to clean water were associated with child wasting. Results at the same time indicate that child gender (4.15, with a p-value of 0.000), secondary education (Odds Ratio: 4.06, p-value: 0.019), university education of parents (Odds Ratio=4.53, p-value=0.021), and marital status (2.52, with a p-value of 0.039) are significantly associated with child underweight. These findings highlight the nature of undernutrition, necessitating comprehensive and targeted interventions. Addressing these determinants, which promote educational initiatives, enhance water accessibility, and foster food security, is vital to establishing effective tactics for curbing undernutrition among the vulnerable demographic of under-five children in Tanzania.

Mentoring in education: an analysis of international practices and their implementation in Russia

Introduction. In the context of an ongoing discussion about the necessity to enhance the institution of mentoring in Russia, the examination and critical analysis of the experiences of countries where the system of mentoring for novice teachers is regulated at the state level is of undeniable interest. Aim. The study aimed to identify the main features of mentoring in France and determine the potential for applying international experience in the Russian educational system. Methodology and research methods. The research employed the following methods: an analysis of pedagogical literature and normative documents in the field of education in France, and a questionnaire survey of novice teachers working as trainee teachers in primary schools in Paris. As a survey technique, a continuous online survey with a group was employed. Results and scientific novelty. The process of becoming a fully qualified lower primary teacher in France is outlined: it involves passing a competitive examination (CRPE) and successfully completing a probation period. During this probation period, candidates are required to work for one year in a school as a trainee teacher under the guidance of mentor teachers. The research focuses on mentoring practices in France, the pathways to becoming a new teacher mentor, their job requirements, professional training, certification processes, as well as their roles and responsibilities. Based on the results of a survey of trainee teachers, a social profile of a novice teacher in France was created. The main challenges and shortcomings of the participants were identified, and their interactions with mentors were analysed. The collected data enabled the authors to emphasise the benefits of the French education policy regarding entry into the teaching profession and to formulate recommendations for mentor selection and training in Russia. Practical significance. The content of the article will be beneficial for specialists in the field of comparative education and for members of the scientific and pedagogical community engaged in teacher training programmes.

The rise of Q-pop in Kazakhstan and its impact on national identity

This study delves into the influence of the Korean Wave on the emergence of Q-pop in Kazakhstan, examining its impact on the country's cultural landscape and national identity. Stemming from the worldwide appeal of Korean culture, Q-pop merges local Kazakh motifs with global trends, leaving a significant mark on Kazakhstan's music industry and culture. This study highlights how Q-pop influences Kazakhstani youth's sense of national pride, spreading across Central Asia and countering Russian musical dominance. The research aims to investigate the role of Q-pop in reinforcing Kazakh cultural ties among various demographic groups, thereby enriching our comprehension of national identity in the country. This study utilized a quantitative research methodology, employing an online survey and snowball sampling technique to gather statistically significant results and insights into the rise of Q-pop and its intricate relation with national identity in Kazakhstan. Through exploring Q-pop's interaction with different cultural contexts, this study aims to shed light on the dynamics of cultural adaptation, fusion, and national identity construction in Kazakhstan, paying special attention to the intricate effects of gender and geographical factors. It highlights the critical balance between preserving Kazakh traditions and aligning with the younger generation's preferences.

THEORETICAL AND PRACTICAL DILEMMAS OF DEFINING THE CONCEPT OF INNOVATION

Innovations can take the form of implementing a modernised process, method or practical solutions in an enterprise, aimed at achieving specific benefits in the economic and social sphere. Innovations are related to specific changes in various functional areas of the organisation, including personnel. The cognitive purpose of the publication is to present the concept of innovation based on selected – national and foreign – literature on the subject. The goal of the research was to identify how innovations are defined in economic practice, especially in relation to the personnel area. The research problem was focused on obtaining an answer to the question regarding the perception of the concept of innovation in the personnel area. It was assumed that innovation in the personnel area is understood as the implementation of an improved process, method or solutions in the enactment of the personnel function. The empirical data was obtained using a survey technique with the use of a questionnaire. Empirical research was characterised by: subject, object, time and research space. The most important findings indicate that almost half of the respondents perceive innovation as a process, method or solution in the implementation of the personnel function. The conclusions from the research boil down to the statement that the Schumpeterian concept (promoting the understanding of innovation as the first application of a given invention in economy) turned out to be a rather distant concept for contemporary practitioners.

Engineering and environmental assessment of soilbag-based slope stabilisation for sustainable landslide mitigation in mountainous area

Changes in land use significantly impact landslide occurrence, particularly in mountainous areas in northern Thailand, where human activities such as urbanization, deforestation, and slope modifications alter natural slope angles, increasing susceptibility to landslides. To address this issue, an appropriate method using soilbags has been widely used for slope stabilisation in northern Thailand, but their effectiveness and sustainability require assessment. This research highlights the need to evaluate the stability of the soilbag-based method. In this study, a case study was conducted in northern Thailand, focusing on an area characterised by high-risk landslide potential. This research focuses on numerical evaluation the slope stability of soilbag-reinforced structures and discusses environmental sustainability. The study includes site investigations using an unmanned aerial photogrammetric survey for slope geometry evaluation and employing the microtremor survey technique for subsurface investigation. Soil and soilbag material parameters are obtained from existing literatures. Modelling incorporates hydrological data, slope geometry, subsurface conditions, and material parameters. Afterwards, the pore-water pressure results and safety factors are analysed. Finally, the sustainability of soilbags is discussed based on the Sustainable Development Goals (SDGs). The results demonstrate that soilbags effectively mitigate pore-water pressures, improve stability, and align with several SDGs objectives. This study enhances understanding of soilbags in slope stabilisation and introduces a sustainable landslide mitigation approach for landslide-prone regions.

Forensic geoscience non-invasive detection and characterisation of underground clandestine complexes, bunkers, tunnels and firing ranges

Recent events in conflict zones have emphasized that the successful detection and characterisation of buried clandestine complexes, bunkers and tunnels is vitally important for forensic investigators globally, to reduce or solve criminal activities, address national security threats and avoid potential terrorist attacks. However, this can often prove very difficult, particularly in urban areas, with potentially both below-ground non target items and above-ground infrastructures present, that can interfere with detecting target(s).Here we provide selected successful case studies where forensic geoscience techniques were used to detect and characterise buried clandestine complexes, bunkers and tunnels using different geophysical techniques. Generally, desktop studies assessing pre-existing information, including local geology, soils, historical/modern remote sensing, maps and photographs inform appropriate geophysical survey technique(s) selection. Subsequent near-surface geophysical techniques are then employed to produce accurate plans of sub-surface targets, with numerical modelling and correction for the interfering effects of above ground infrastructure, enabling the calibration of geophysical datasets to provide confidence in their respective interpretations.All forensic investigations are, of course, unique to every site, and thus require an individual approach to their respective ground conditions. Investigations should be both phased and iterative, with techniques tailored to local conditions: the selection of geophysical method(s) is crucial to improve successful detection rates of such important buried targets.

Consumers of different generations towards innovative technologies in customer service in retail


 
 
 The aim of the paper is to identify the importance of innovative technologies used in retail during the pandemic for consumers and the willingness of different generations of consumers to use these solutions in the future. The article was prepared on the basis of the literature on the subject, research reports, websites of companies preparing or implementing modern technologies in retail, and the results of direct research conducted in 2022 using the online survey technique among 1,100 consumers.
 The paper presents the issues related to the possibility of using modern technologies in the customer service process, specifically those that allow for even greater customer involvement in the purchasing process and increase their independence and self-service. A special emphasis was given to the self-service store, currently considered one of the greatest achievements (“milestones”) in brick-and-mortar retail trade, which is crucial for the issues presented. The paper shows the results of direct research on selected elements of purchasing behavior of different generations of consumers that are related to the use of innovative solutions in retail trade and intentions to use these solutions in the future.
 
 

ReScape: transforming coral-reefscape images for quantitative analysis

Ever since the first image of a coral reef was captured in 1885, people worldwide have been accumulating images of coral reefscapes that document the historic conditions of reefs. However, these innumerable reefscape images suffer from perspective distortion, which reduces the apparent size of distant taxa, rendering the images unusable for quantitative analysis of reef conditions. Here we solve this century-long distortion problem by developing a novel computer-vision algorithm, ReScape, which removes the perspective distortion from reefscape images by transforming them into top-down views, making them usable for quantitative analysis of reef conditions. In doing so, we demonstrate the first-ever ecological application and extension of inverse-perspective mapping—a foundational technique used in the autonomous-driving industry. The ReScape algorithm is composed of seven functions that (1) calibrate the camera lens, (2) remove the inherent lens-induced image distortions, (3) detect the scene’s horizon line, (4) remove the camera-roll angle, (5) detect the transformable reef area, (6) detect the scene’s perspective geometry, and (7) apply brute-force inverse-perspective mapping. The performance of the ReScape algorithm was evaluated by transforming the perspective of 125 reefscape images. Eighty-five percent of the images had no processing errors and of those, 95% were successfully transformed into top-down views. ReScape was validated by demonstrating that same-length transects, placed increasingly further from the camera, became the same length after transformation. The mission of the ReScape algorithm is to (i) unlock historical information about coral-reef conditions from previously unquantified periods and localities, (ii) enable citizen scientists and recreational photographers to contribute reefscape images to the scientific process, and (iii) provide a new survey technique that can rigorously assess relatively large areas of coral reefs, and other marine and even terrestrial ecosystems, worldwide. To facilitate this mission, we compiled the ReScape algorithm into a free, user-friendly App that does not require any coding experience. Equipped with the ReScape App, scientists can improve the management and prediction of the future of coral reefs by uncovering historical information from reefscape-image archives and by using reefscape images as a new, rapid survey method, opening a new era of coral-reef monitoring.

Role of green awareness and green behaviour in fostering sustainable consumption in India

Purpose This study aims to determine the solutions to address the Indian attitude-behaviour inconsistency in the green purchasing context and provide the possible combinations of antecedents that aid Indian marketers in designing promotional and advertising strategies. Design/methodology/approach A non-probability criterion-based sampling technique was used in collecting the data across Hyderabad city of Telangana region through online survey technique. The respondents were the customers who were attracted towards green and eco-friendly products. A total of 129 responses were received. SPSS v26 software was used to conduct the descriptive analysis, and the two-step analysis approach of the measurement and structural model was conducted in SmartPLS. Findings Results indicate that interpersonal influence has a greater direct influence on green purchase behaviour (GPB); altruism’s influence on green purchase intention (GPI) and GPB is through environmental attitude (EA) and green awareness (GA). EA has a significant influence on GA and green behaviour (GB). The GA and GB individually act as potential mediators between EA and green consumption behaviour (GCB) variables. Perceived environmental knowledge (PEK) does not influence GPB directly or indirectly. Altruism still ranks at the fifth position among the six antecedents, indicating reciprocal determinism and not an altruistic purchase approach in the Telangana region. Social implications The results of this study may be used by government agencies and policymakers to launch awareness campaigns aimed at educating the public and encouraging green buying practices among broader societal segments. These kinds of programmes could lessen the harm that inconsiderate consumption habits do to the environment and to society, increase the green behaviour practices like planting trees, and recycling, and also increase the consumer’s PEK. Originality/value To the best of the authors’ knowledge, the present study is the first to apply reciprocal deterministic theory along with theory of planned behaviour to predict Indian GCB and address the attitude-behaviour gap. Moreover, to the best of the authors’ knowledge, this is the first study to investigate together the direct and indirect influence of altruism, interpersonal influence and perceived environmental knowledge on green purchase behaviour. Given the growing trend of consumers adopting an eco-friendly mind-set, a novel approach to empirically discuss the behavioural and personal factors will give research the much-needed boost it needs.

Artificial intelligence in restaurant businesses: a systematic review on service robots

PurposeWithin the scope of the research, articles about service robots were examined by the systematic review method.Design/methodology/approachThe research aims to evaluate the articles on service robots, an artificial intelligence (AI) application in restaurant businesses, using a systematic review method. In systematic reviews, the data obtained as a result of scanning databases to find an answer to a research question are synthesized and reported. The criterion sampling technique, one of the purposeful sampling methods, was used for the sample of the research. Inclusion and exclusion criteria were applied within the scope of screening.FindingsThe articles on service robots were carried out between 2018 and 2023. In terms of research methods, most of the articles are quantitative, while there are studies on mixed and qualitative methods. In studies, data were generally collected by survey technique. The keywords of the studies on service robots are examined; the most commonly used words were service robot and AI, technology, restaurant, satisfaction, revisit intention, consumer behavior, intention, preference, hospitality and foods. The objectives of the articles pertinent to service robots are mostly to determine people's attitudes and acceptance toward these services focuses.Originality/valueThe studies seem to focus more on customer acceptance, trust, expectations, risks, adaptation, reasons for preference, impact on creative services, emotional and cognitive effects and human–robot interaction. Despite this, it is observed that there are fewer studies on topics such as the development of service robots in restaurant businesses, their reflections on the future, future opportunities and the quality of chef service robots. Based on this, it is recommended to consider studies that will serve as a reference for revealing innovative opportunities that can meet future expectations in order to increase the quality of service robots in restaurant businesses.

Moderating Effect of Industry Forces on Entrepreneurial Orientation of Small Hotels Business Performance in Ghana

The study examined the moderating effect of industry forces on entrepreneurial orientation to impact on business performance of small-size hotels. A quantitative research approach and a questionnaire survey technique were used to collect the data from 396 small-size hotels. The conceptual model was analyzed through a partial least square using structural equation modelling. It was observed that the direct path relationship of industry forces and business performance was all positive and significant. The study introduced some novelty aspects such as the substitution of construct using industry forces as moderation in the theoretical framework to enhance entrepreneurial orientation to impact on business performance. The study recommends that small hotels strategically position themselves to improve their business performance amid industry forces.

Copying and its place in product development: definitions and practices by fashion industry personnel

Having apparel similar to what others are wearing is a basic desire in the fashion world and results in copying. Copying is both easier with technology and more prevalent with the attraction of brands and logos; however, research in the fashion literature is limited in the exploration of copying. To address this gap, this study investigated the definition of copying, the integration of copying technologies into product development, and training within the industry relative to copying and counterfeiting. Ten product development personnel working in the fashion industry were interviewed using an online, structured survey technique. Findings indicate that copying is inherent in the product development process for fashion goods with important implications for education and training about copying and counterfeiting.

Reverse Logistics Practices: A Dilemma to Gain Competitive Advantage in Manufacturing Industries of Pakistan with Organization Performance as a Mediator

Reverse logistics is a known supply chain practice and has been proven effective in recent decades. In developing countries, these practices are already employed and considered beneficial for the business or firms. The reverse logistics concept creates value for customers and firms. Considering this, this study intends to highlight reverse logistics practices in Pakistan and examine the reverse logistics impacts on competitive advantage with the mediating role of the firm’s organizational performance in Pakistan’s manufacturing industries. In this study, plastic bottle manufacturing firms working in Pakistan were selected to collect the data. Hence, to collect the data from these firms, a survey technique was sought to determine the impact of reverse logistic practices on competitive advantage with the mediating role of organizational performance. A structured and adapted questionnaire was used in this regard. Organizational performance was assumed as the operational and financial performance of these firms. Data were collected using a convenience sampling technique, and the targeted population was the middle-level employees of bottle manufacturing firms. The statistical tool was adopted as the study was quantitative, and results were extracted numerically. IBM SPSS and AMOS version 24 were used as supporting statistical analysis and interpretation tools. Data analysis demonstrated that out of 219 respondents, 68 were supervisors, and others were middle managers. Statistics show that most females were supervisors, and most males were middle managers. “Confirmatory Factor Analysis (CFA)” was performed to examine the fit of the three-factor model, showing good fit indices (Chi-square/df = 2.71, CFI = 0.902, TLI = 0.896, RMSEA = 0.081), which indicates that the model fits the data well. According to the study’s findings, a significant impact was examined between reverse logistics and competitive advantage, and a mediating role was confirmed between those variables. This study poses unique strengths in theoretical and practical ways and helped enrich the available literature and findings.

Using ML to Predict User Satisfaction with ICT Technology for Educational Institution Administration

Effective and efficient use of information and communication technology (ICT) systems in the administration of educational organisations is crucial to optimise their performance. Earlier research on the identification and analysis of ICT users’ satisfaction with administration tasks in education is limited and inconclusive, as they focus on using ICT for nonadministrative tasks. To address this gap, this study employs Artificial Intelligence (AI) and machine learning (ML) in conjunction with a survey technique to predict the satisfaction of ICT users. In doing so, it provides an insight into the key factors that impact users’ satisfaction with the ICT administrative systems. The results reveal that AI and ML models predict ICT user satisfaction with an accuracy of 94%, and identify the specific ICT features, such as usability, privacy, security, and Information Technology (IT) support as key determinants of satisfaction. The ability to predict user satisfaction is important as it allows organisations to make data-driven decisions on improving their ICT systems to better meet the needs and expectations of users, maximising labour effort while minimising resources, and identifying potential issues earlier. The findings of this study have important implications for the use of ML in improving the administration of educational institutions and providing valuable insights for decision-makers and developers.

From silent spaces to smart spaces: Leveraging IoT-based innovative services to enhance library system performance using SEM approach

The Internet of Things (IoT) has emerged as a disruptive technology with enormous potential to alter various fields, including libraries. However, research on IoT uptake in libraries still needs to be more extensive, especially in Pakistan. This research aims to fill that vacuum by exploring the variables driving IoT uptake in Pakistani libraries and assessing its effect on library services. A quantitative approach was used, with data collected from Pakistani libraries using a survey technique. The poll specifically addressed librarians and administrators to understand their views on the IoT adoption advantages they see. We designed a theoretical framework combining the Technology-Organization-Environment (TOE) paradigm and adding two variables: digital transformation and innovativeness. A total of 341 responses were gathered, providing insightful data on the IoT adoption trends in Pakistan. The research examines the connections between numerous variables impacting IoT uptake in libraries using advanced statistical approaches like SmartPLS-based partial least squares structural equation modeling. The findings reveal several vital factors influencing the adoption of IoT in Pakistani libraries. The study emphasizes the significance of solid management practices and the effective use of technology resources in facilitating the successful implementation of the Internet of Things and ensuring enhanced library services. This research contributes to the existing body of knowledge by providing a comprehensive perspective on IoT adoption in Pakistan. It addresses a considerable knowledge deficit regarding the implementation of IoT in libraries, concentrating specifically on the Pakistani view. The findings of this study are beneficial for library professionals, researchers, and policymakers, as they enable them to make informed decisions and drive successful IoT adoption initiatives in Pakistani libraries.

Evaluating taxation’s dual impact on business and social development: A case study of the Cape Coast metropolis in Ghana

Tax revenue is an important public asset that contributes significantly to a nation’s economic development. The primary function of every government is to make provision in terms of infrastructure facilities, development, and better living conditions for its people. Due to the government’s limited resources, it is necessary to impose taxes on all residents and businesses to strengthen its financial situation because it is impossible for it to carry out this large task in an effective manner. Governments have always passed numerous tax laws, and they have been amended to withstand the test of time. Therefore, this study’s goal is to determine whether taxes have an impact on economic development in the Cape Coast Metropolis in Ghana. The study used the quantitative approach, survey technique, and questionnaire for the data collection process. A sample size of 115 respondents comprising the staff of the domestic tax revenue division’s workforce and owners of registered SMEs were engaged in the study. The data was analyzed using the SPSS version 26. The results indicated that the majority of the staff of Ghana Revenue Authority (GRA) considered payment of tax as beneficial to the state while few of the staff did not consider payment of tax as beneficial to the state. In addition, the study outcomes show that respondents are aware of the extent to which tax revenue can be used by the government for economic development. Furthermore, the researchers recommended that the head of GRA create a strong regulatory framework to monitor how tax money is used for economic growth. They should also make an effort to ensure that the tax revenue generated will be wisely used for the growth of the metropolis. This will make taxpayers appreciate the need to pay their taxes because they know they will benefit from it in the end in the form of social and economic developments.