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49 

        MULTIDISCIPLINARY SCIENTIFIC RESEARCH 
          BJMSR VOL 9 NO 4 (2024) P-ISSN 2687-850X E-ISSN 2687-8518 

         Available online at https://www.cribfb.com 

     Journal homepage: https://www.cribfb.com/journal/index.php/BJMSR 

                                                                                                                                                                                                    Published by CRIBFB, USA 
                                                                                                                                     

ORGANIZATIONAL EFFECTIVENESS FOR ACCOUNTING 

INFORMATION SYSTEM PRACTICE: A STUDY ON SOME 

SELECTED READY-MADE GARMENTS FACTORIES OF 

CHATTOGRAM IN BANGLADESH       
 

 Maruful Islam (a)1   
 

(a) Lecturer, Accounting, Department of Business Administration, International Islamic University Chittagong, Bangladesh; E-mail: 

maruf10666@gmail.com 
                     

 
A R T I C L E I N F O 

 
 

Article History: 
 

Received: 7th June 2024 

Reviewed & Revised: 7th June 

to 19th September 2024 

Accepted: 20th September 2024 

Published: 25th September 2024 

 
Keywords: 

 

Accounting Information Systems, 

Organizational Effectiveness; Impact,  

Ready Made Garments Manufacturer, 
Chattogram, Purposive Sampling 

 

 
JEL Classification Codes: 
 

M41 

 

 

      Peer-Review Model:  

 

      External peer review was done through  

      double-blind method.        

 
A B S T R A C T      
 
In today's rapidly evolving global business environment, implementing Accounting Information Systems 

(AIS) effectively is essential for improving financial reporting accuracy and operational efficiency. 

Despite its importance, the relationship between AIS practices and organizational effectiveness remains 

insufficiently explored, particularly within Bangladesh's ready-made garments (RMG) industry. This 

study aims to examine the impact of AIS on organizational effectiveness within the RMG sector of 

Chattogram, Bangladesh. Data were collected from 400 respondents using a purposive sampling 

method, with responses measured on a five-point Likert scale. The study evaluated AIS across multiple 

dimensions, including financial reporting accuracy, timeliness of decision-making, data security, ease 

of accessibility, regulatory compliance, and user satisfaction. Organizational effectiveness was assessed 

in terms of cost efficiency, integration with other systems, decision support, adaptability to change, 

training and support, innovation, and system upgrades. Factor analysis was performed to validate the 

data, and reliability was tested through Cronbach's Alpha. A structural equation model (SEM) was 

developed using IBM SPSS AMOS 22 to analyze the relationship between AIS and organizational 

effectiveness, ensuring that the model met convergent and discriminant validity requirements. The results 

revealed a significant positive relationship between AIS practices and organizational effectiveness. AIS 

contributed to improved decision-making, enhanced financial reporting accuracy, streamlined 

operational processes, and greater overall efficiency. These findings underscore AIS's crucial role in 

promoting organizational success within the RMG sector, highlighting its potential to boost 

performance, productivity, and overall effectiveness. 

 
 

© 2024 by the authors. Licensee CRIBFB, USA. This open-access article is distributed under the 
terms and conditions of the Creative Commons Attribution (CC BY) license 
(http://creativecommons.org/licenses/by/4.0).  

            

INTRODUCTION 

The contemporary business landscape is undergoing a significant shift, given the crucial role of technology in shaping and 

enhancing organizational processes. In this context, Accounting Information Systems (AIS) have emerged as a critical tool 

in finance and accounting. An AIS integrates various components, including people, procedures, and technology, to facilitate 

an organization's seamless collection, processing, and dissemination of financial information. Understanding the profound 

influence of AIS on organizational effectiveness is crucial for businesses striving to stay competitive in the dynamic global 

market (Salehi et al., 2010). This research paper, therefore, undertakes a comprehensive exploration of how AIS impacts 

organizational effectiveness, using a quantitative empirical research approach to delve into the specific context of Ready 

Made Garments (RMG) manufacturers in Chattogram, Bangladesh. 

Bangladesh's garment manufacturing sector has witnessed a remarkable expansion in recent decades, establishing 

itself as a significant player in the international textile and clothing industry. To effectively navigate the challenges of this 

ever-evolving business landscape, integrating sophisticated information systems, notably AIS, has become necessary for 

efficient financial management and maintaining competitiveness. This research aims to augment the current understanding 

by offering valuable insights into how implementing AIS influences the overall effectiveness of garment manufacturers in 

Chattogram. 

                                                      
1Corresponding author: ORCID ID: 0009-0004-7343-8983 
© 2024 by the authors. Hosting by CRIBFB. Peer review is the responsibility of CRIBFB, USA.  

https://doi.org/10.46281/bjmsr.v9i4.2247 

 
To cite this article: Islam, M. (2024). ORGANIZATIONAL EFFECTIVENESS FOR ACCOUNTING INFORMATION SYSTEM PRACTICE: A 

STUDY ON SOME SELECTED READY-MADE GARMENTS FACTORIES OF CHATTOGRAM IN BANGLADESH. Bangladesh Journal of 

Multidisciplinary Scientific Research, 9(4), 49-58. https://doi.org/10.46281/bjmsr.v9i4.2247 

http://creativecommons.org/licenses/by/4.0/)
http://creativecommons.org/licenses/by/4.0/)
https://www.openaccess.nl/en
https://doi.org/10.46281/bjmsr.v9i4.2247
https://orcid.org/0009-0004-7343-8983


Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

50 

Many research endeavors have explored how AIS influences the performance of organizations, shedding light on 

its role in improving decision-making, streamlining processes, and enhancing the accuracy of financial reporting. The 

seminal work of Romney and Steinbart (2017) underscores the critical importance of AIS in furnishing timely and relevant 

financial information crucial for decision-making. Simultaneously, Hall (2019) highlights its pivotal role in internal control 

mechanisms. Scholars like Gelinas et al. (2018) have emphasized the significance of AIS in improving operational efficiency 

and reducing costs, further emphasizing the importance of this research in the broader framework of organizational 

efficiency. 

In the context of Bangladesh, research on the integration and impact of AIS in the Ready-Made Garments sector is 

notably scarce. However, given the unique challenges and opportunities businesses face in this region, investigating the 

specific effects of AIS implementation becomes paramount. The study zeroes in on Chattogram, a pivotal hub for RMG 

manufacturers, aiming understand how AIS influences organizational effectiveness within the local business landscape. 

Chattogram's RMG sector serves as a microcosm for exploring the broader implications of AIS on organizational 

effectiveness. Factors such as technology adoption and organizational culture will be meticulously examined to offer a 

comprehensive understanding of the intricate dynamics at play. Through an in-depth quantitative empirical research study, 

this research endeavours to uncover the nuances of AIS utilization and its tangible impact on organizational effectiveness 

within the selected RMG manufacturers in Chattogram. 

As businesses in the ready-made garments industry grapple with increasing pressures to adapt and excel in a 

globally competitive market, understanding the profound influence of accounting information systems on organizational 

effectiveness emerges as a pivotal imperative. This research paper, adopting a quantitative empirical research approach, 

delves into the specific context of RMG manufacturers in Chattogram, Bangladesh, contributing not only to academic 

literature but also offering practical insights crucial for businesses to thrive in the ever-evolving landscape of financial 

information management. The findings of this study are anticipated to bridge the existing gaps in understanding the 

intricacies of AIS implementation and its far-reaching consequences on organizational effectiveness in the vibrant business 

environment of Chattogram. 

In the following sections, this paper systematically explores the impact of AIS on organizational effectiveness 

within the RMG industry in Chattogram. Firstly, the literature review synthesizes key studies and theoretical insights on 

AIS, organizational effectiveness, and their intersection while highlighting the research gaps and formulating the purpose 

of this study and its hypotheses. Secondly, the materials and methods section outlines the approach for selecting the study 

population and sample, as well as data collection and analysis techniques. Thirdly, this article presents a descriptive analysis, 

factor analysis, and structural equation modeling to examine the significant impact of accounting information system 

practices on organizational effectiveness, supported by reliability, validity, and model fit assessments. Fourthly, this study 

demonstrates the significant role of AIS in enhancing organizational effectiveness within Chattogram's RMG industry, 

emphasizing its impact on financial reporting accuracy, decision-making, operational efficiency, and regulatory compliance 

while highlighting avenues for future research on AIS adoption and its long-term effects. Lastly, the study concludes that 

AIS significantly enhance organizational effectiveness in Chattogram's RMG industry. However, limitations in industry 

focus, self-reported data, and unexplored moderating variables suggest the need for broader, mixed-method research to 

validate these findings further. 

 

LITERATURE REVIEW 

Accounting information is critical for improving organizational effectiveness in today's global competitive climate. It is a 

strategic asset for informed decision-making, performance evaluation, and strategy planning (Anthony & Reece, 2006). 

According to Kaplan and Norton (1992), the balanced scorecard is vital in assessing organizational performance by 

combining financial and non-financial variables. Chenhall and Langfield-Smith (2003) underline that accounting 

information aids strategic objectives through budgeting and forecasting. Furthermore, Dechow and Dichev (2002) 

emphasize its relevance in promoting openness and credibility, which are critical for acquiring investor trust and access to 

finance. Recent studies by Islam (2023) and Otley (2001) emphasize the importance of accounting information in internal 

controls and management control systems across various companies and organizations. Despite problems including 

changing standards and complexity (Leuz et al., 2003), accounting information remains critical for sustaining organizational 

efficiency and meeting global competitive challenges (Borthick & Clark, 1990; Yusoh et al., 2024; Al-Matari et al., 2022). 

Organizational effectiveness is an organization's capacity to fulfill its goals and objectives while retaining high 

efficiency and flexibility. It is a complicated notion with several elements, including leadership, structure, culture, 

procedures, and performance. Achieving organizational effectiveness necessitates a deliberate and comprehensive strategy 

that considers the interactions of many factors inside the company (McKinsey & Company, 2021). Leadership is an essential 

factor in determining organizational performance. Influential leaders are critical in steering the business toward its goals, 

cultivating a positive and collaborative culture, and making sound decisions. In addition to providing a clear vision, 

leadership entails inspiring and coordinating the efforts of all employees to work toward shared objectives. Leadership 

philosophies that foster openness, communication, and empowerment are essential contributors to organizational 

effectiveness (Yukl, 2013). Another critical factor influencing effectiveness is the organizational structure. A well-designed 

structure guarantees that tasks are arranged and assigned effectively, fostering accountability and clear lines of 

communication. Various organizational structures, such as functional, divisional, or matrix, may be appropriate for various 

contexts (Daft, 2015). The organization's size, industry, and strategic objectives influence the structure selection. Culture is 

a crucial component of organizational effectiveness. It consists of shared values, beliefs, and norms that influence individual 

employee behaviour within the organization. Employee engagement, creativity, and flexibility are encouraged by a friendly 

and upbeat work environment, which increases the effectiveness of the company as a whole (Schein, 2010). An 



Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

51 

organization's internal procedures and processes are also crucial in determining its performance. Redundancy is decreased, 

productivity is increased, and effective and well-designed procedures streamline operations. Establishing robust 

performance evaluation, feedback, and communication mechanisms helps organizations become more effective over time 

(Hammer & Champy, 1993; Jahan, 2023). Technology is a catalyst for organizational performance in the digital era. 

Organizations use state-of-the-art solutions like artificial intelligence (AI) apps and enterprise resource planning (ERP) 

systems to improve decision-making and expedite procedures. Technology academics like Andrew McAfee and Erik 

Brynjolfsson's writings provide insight into how technology might change contemporary businesses. 

Organizational practices have undergone a tremendous transformation as AIS has developed, going from simple 

record-keeping tools to sophisticated systems that improve operational efficiency and decision-making. At first, the primary 

purpose of AIS was to assist with financial reporting and compliance. However, as new technologies like AI and machine 

learning have emerged, these systems have grown into all-encompassing frameworks that combine operational and financial 

data, increasing the precision and effectiveness of financial reporting (Rozhkova & Blinova, 2023; Polenova et al., 2019). 

Recent research has demonstrated how important AIS is for improving operational effectiveness, especially in industrial 

settings. For example, it has been demonstrated that using AIS to automate repetitive procedures may improve operational 

accuracy and efficiency (Wang et al., 2020). Findings that highlight the AIS's integration of AI and machine learning, which 

permits real-time data processing and sophisticated analytics, provide more credence to this. With these tools, businesses 

may go from gathering data to strategically using it to make decisions (Xiong, 2022). By streamlining procedures and 

improving accounting information dependability, AI technology integration with AIS lowers the risks related to economic 

volatility and unpredictability (Polenova et al., 2019; Sharif et al., 2022). Furthermore, the capacity of AIS to deliver precise 

and timely financial information highlights how well it works to enhance organizational decision-making. Since businesses 

depend more on data-driven insights to manage complex business settings, this is essential for strategy planning and resource 

allocation (Troshani et al., 2018). Furthermore, by implementing strong internal controls and audit trails—crucial for 

upholding corporate integrity and accountability—AIS improves compliance with legal requirements and minimizes 

financial risks (Rozhkova & Blinova, 2023). Cloud computing with AIS enhances data security and facilitates remote access, 

providing adaptable and scalable solutions that augment corporate efficacy. This enables smooth cooperation and 

information exchange across several locations, which is especially advantageous for businesses with operational or 

geographic restrictions (Rozhkova & Blinova, 2023). The move to cloud-based AIS systems indicates a more significant 

digital transformation trend in which businesses use technology to enhance efficiency and optimize operations (Troshani et 

al., 2018). Automation of routine accounting tasks through an AIS leads to increased efficiency, performance, and 

productivity. Manual processes are prone to errors and can be time-consuming. An AIS automates data entry, processing, 

and reporting, allowing employees to focus on more value-added activities. A study investigated how different factors of 

AIS affect decision-making in commercial banks in Bangladesh. The results demonstrated that the links between the AIS 

facility's technological capabilities, operational comparability, understandability, relevance, and dependability and their 

effects on decision-making effectiveness were not all the same. Additionally, demographic factors such as gender, banking 

sector, AIS training, experience levels, and participation in decision-making significantly influenced perceptions and 

contributions to AIS-based decision-making practices, ultimately contributing to organizational performance (Chowdhury 

et al., 2024). According to (Lutfi et al., 2022) AIS automates financial operations and offers comprehensive insights into 

performance measures, which greatly aid in decision-making and cost management. For RMG companies functioning in a 

worldwide market, compliance with international accounting standards is critical, and thus, automation not only simplifies 

operations but also improves the accuracy of financial reporting (Sarker et al., 2023). Alam et al. (2023) underline how AIS 

enhances internal controls, which are critical to preserving the RMG industry's operational integrity and effectiveness.  

There is a clear study gap in the literature that focuses on the effects of AIS on organizational effectiveness in the 

RMG sector of Chattogram, Bangladesh. Although research has demonstrated the overall advantages of AIS, more empirical 

data needs to be collected to show how it affects effectiveness and performance in this particular setting (Kabir et al., 2022). 

For example, Ahad et al. (2021) talk about the general effects of technology adoption in the RMG industry, but they need 

to detail the particular effects of AIS. Although AIS can potentially increase operational efficiency, a lack of specific 

research suggests that its practical implementation may be limited by the unique challenges that RMG firms in Chattogram 

face, such as infrastructure limits and worker training (Fontana, 2017). Additionally, the labour-intensive nature of 

Bangladesh's RMG industry and the requirement for constant adaptability to market demands make AIS integration more 

difficult (Swazan & Das, 2022). Due to the intense rivalry brought about by the industry's rapid expansion, adopting AIS 

and other technologies will require a more calculated approach (Lutfi et al., 2022). However, some of the unique contextual 

aspects that impact the application of AIS in the RMG sector are overlooked by the current research, such as workers' level 

of digital literacy and cultural attitudes towards technology (Sarker et al., 2023). Thus, to close the observed gap, this study 

examines the special difficulties and advantages of AIS in Chattogram's RMG sector, offering insights suited to the 

particular requirements of this sector and region.  

In summary, although AIS shows promise for enhancing organizational effectiveness in the RMG sector, especially 

regarding decision-making and compliance, further research is needed to understand the implementation problems in 

Chattogram, Bangladesh, fully. By tackling these issues, the RMG industry may better utilize AIS to improve operational 

performance and preserve its competitive edge in the global market. 

In the context of Chattogram, Bangladesh's RMG industry, this research aims to thoroughly investigate the link 

between AIS and organizational efficiency. Given AIS's crucial role in contemporary business operations, this research 

evaluates how well-implemented AIS might affect important business performance outcomes. In order to ascertain how 

these features contribute to improving organizational effectiveness, the study looks explicitly into several AIS dimensions, 

such as financial reporting accuracy, timeliness of decision-making, data security, ease of accessibility, regulatory 



Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

52 

compliance, and user satisfaction. Several essential characteristics are used to assess organizational performance, including 

cost efficiency, system integration, decision support, flexibility to changing business contexts, personnel training and 

support, and the capacity to innovate and update systems. The study aims to determine how AIS practices improve decision-

making, financial correctness, operational efficiencies, and productivity. This study uses a purposive sample strategy and 

collects data from 400 respondents in the RMG sector to give empirical evidence of AIS's direct and indirect effects on 

organizational effectiveness. The study uses factor analysis, reliability testing (Cronbach's Alpha), and a structural equation 

model (SEM) constructed with IBM SPSS AMOS 22 to ensure thorough data validation and statistical analysis to back up 

its conclusions. Finally, this study aims to give practical insights for RMG firms intending to use AIS to boost overall 

performance, competitiveness, and flexibility in a fast-changing global business context. Thus, this study proposes the 

following hypothesis: 

 

Null Hypothesis (H0): Accounting Information System has no significant effect on organizational effectiveness. 

 

Alternative Hypothesis (H1): Accounting Information System has a significant effect on organizational effectiveness. 

 

MATERIALS AND METHODS 

Study Population and Sample Population 

This study focuses on employees working in Ready-Made Garment (RMG) manufacturing firms located in Chattogram, 

Bangladesh. The study, in particular, targets 400 key employees from 55 chosen firms who use Accounting Information 

Systems as part of their job tasks. This includes a confidence level of 95%, a margin of error of 5%, and a population 

proportion of 50% with an infinite population size. 

 

Purposive Sampling Approach 

A purposive sampling approach was employed to ensure a targeted and representative sample. In this study, purposive 

sampling was chosen to select participants with relevant experience and expertise in using Accounting Information Systems 

(AIS) within the RMG manufacturing sector. This method allows for a focused investigation into the population of interest 

(Bryman, 2016). 

 

Face-to-Face Data Collection 

The chosen data collection method involves face-to-face interactions with the respondents. This method makes a deeper 

comprehension of the participants' observations and points of view possible. This direct engagement method enhances the 

reliability and richness of the gathered data (Creswell & Creswell, 2017).  

 

Utilization of Likert-Type Scale 
The questionnaire consisted of twelve well-crafted questions, employing a Likert-type scale with five response options 

ranging from 'agreed' to 'strongly disagreed,' including an 'indifferent' option. This scale allows for a nuanced assessment of 

participants' opinions, comprehensively understanding their attitudes towards using AIS in their job responsibilities (Likert, 

1932). 
 

Data Analysis Method 

The gathered data undergo screening and correction processes to be transformed into Excel and SPSS formats. Descriptive 

analysis is then applied to compute the values for each variable in the survey responses. Subsequently, the normality of the 

data for each variable is assessed using both the Kolmogorov–Smirnov and Shapiro–Wilk tests. Following this, factor 

analysis is performed, including the assessment of Cronbach's Alpha values and the Kaiser-Meyer-Olkin (KMO) measure 

of sampling adequacy, to group all response variables into two categories: the use of accounting information systems and 

organizational effectiveness. To determine the substantial impact of accounting information system practices on 

organisational success, a Structural Equation Model (SEM) is then constructed. Finally, the model's validity is verified 

through convergent and discriminant validity tests, following established methodologies (Fornell & Larcker, 1981; Hair et 

al., 2019; Kline, 2015; Royston, 1982). 

 

Hypothesis Testing 

After thoroughly analyzing the responses from the administered questionnaires, the next step is testing the hypotheses.  

 

RESULTS 

Descriptive Analysis 

Table I displays the descriptive statistics (including sample size, minimum, maximum, and median values) and the outcomes 

of normality tests (Kolmogorov-Smirnov Test and Shapiro-Wilk Test) for each variable associated with the use of 

accounting information systems and their impact on organizational effectiveness. 

 

 

 

 

 

 



Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

53 

Table 1. Descriptive statistics and normality test result 

 
Sl. No. Survey Questions Variable 

name 

N Min Max Kolmogorov– 

Smirnov Test 

(Sig) 

Shapiro–

Wilk Test 

(Sig) 

Median 

1. Practice of Accounting Information 

System 

       

1. (a) The AIS accurately reflects the financial 

status of our organization 

AIS1 400 2 5 0.212 (0.000) 0.866 

(0.000) 

4 

1. (b) Information from the AIS is provided in a 
timely manner for decision-making 

AIS2 400 2 5 0.226 (0.000) 0.872 
(0.000) 

4 

1. (c) I feel confident in the security and integrity 

of data within the AIS 

AIS3 400 2 5 0.274 (0.000) 0.844 

(0.000) 

4 

1. (d) Accessing information from the AIS is 

convenient and user-friendly 

AIS4 400 2 5 0.249 (0.000) 0.865 

(0.000) 

4 

1. (e) Our AIS complies with relevant accounting 
and regulatory standards 

AIS5 400 2 5 0.223 (0.000) 0.867 
(0.000) 

4 

1. (f) Overall, I am satisfied with the functionality 

of the AIS 

AIS6 400 2 5 0.265 (0.000) 0.861 

(0.000) 

4 

2. Effectiveness of Organization        

2. (a) The AIS is cost-effective in terms of the 

benefits it provides 

Effect1 400 2 5 0.235 (0.000) 0.868 

(0.000) 

3 

2. (b) The AIS seamlessly integrates with other 
organizational systems 

Effect2 400 2 5 0.215 (0.000) 0.876 
(0.000) 

3 

2. (c) The AIS significantly contributes to 

effective decision-making in our 

organization 

Effect3 400 2 5 0.197 (0.000) 0.869 

(0.000) 

3 

2. (d) The AIS can adapt well to changes in our 
organizational environment 

Effect4 400 2 5 0.213 (0.000) 0.878 
(0.000) 

3 

2. (e) Training and support for AIS users are 

sufficient and effective 

Effect5 400 2 5 0.211 (0.000) 0.869 

(0.000) 

3 

2. (f) Our organization regularly innovates and 

upgrades the AIS to meet changing needs 

Effect6 400 2 5 0.198 (0.000) 0.865 

(0.000) 

3 

 

The minimum and maximum values for accounting information system practice and organizational effectiveness 

are 2 and 5, respectively. The Kolmogorov-Smirnov and Shapiro-Wilk test statistics of every single variable range from 

0.212 to 0.274 and 0.197 to 0.235, respectively, and are all significant at the 0.000 level. This suggests that the survey 

response data do not follow a normal distribution. Consequently, median values were utilized to compare mean ranks. The 

median value of the practice of accounting information system is 4, and the effectiveness of an organization is 3. Now, 

factor analysis is being utilized to assess the questionnaire and categorize its components into distinct factors. 

 

Factor Analysis 

The Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy yielded a value of 0.883 (p = 0.000) in our factor analysis, 

indicating that the data is appropriately suitable for conducting factor analysis and categorizing the questionnaire responses 

into separate factors (refer to Table 2). 

Table 2. Cronbach's Alpha, Factor Analysis, and the outcome of the Convergent Validity Test 

Rotated Component Matrixa   Convergent Square 

 Component Variable Cronbach’s Validity Root of 
1 2 Name Alpha (AVE) AVE 

Effect1 0.911  Practice of Accounting  0.861 0.526 0.725 

Effect2 0.903  Information System    
Effect3 0.884      
Effect5 0.875      
Effect6 0.847      
Effect4 0.835      
AIS1  0.935 Effectiveness of  0.941 0.729 0.854 

AIS4  0.765 Organization    
AIS2  0.746     
AIS5  0.740     
AIS6  0.718     
AIS3  0.673     
Extraction Method: Principal Component Analysis.  
Rotation Method: Varimax with Kaiser Normalization. 
a. Rotation converged in 3 iterations. 



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54 

The survey response values from the factor analysis table are grouped into two main factors: the practice of 

accounting information systems (with factor loadings ranging from 0.835 to 0.911) and organizational effectiveness (with 

factor loadings ranging from 0.673 to 0.935). Since all factor loadings are above 0.400, this suggests that the indicators for 

each factor exhibit strong reliability. 

The Cronbach's Alpha values for the factor variables, namely 'practice of accounting information system' and 

'effectiveness of the organization,' are 0.861 and 0.941, respectively, exceeding the 0.7 thresholds. This suggests that the 

survey responses concerning these factors are reliable, consistent, and valid. 

Based on the factor analysis, the variables are defined by the following characteristics: (1) Practice of Accounting 

Information System is identified as (a) Financial Reporting Accuracy (AIS1), (b) Timeliness of decision making (AIS2), (c) 

Data Security- Integrity (AIS3), (d) Ease of Accessibility (AIS4), (e) Regulatory Standards Compliance (AIS5) and (f) User 

Satisfaction  (AIS6) (2) Effectiveness of Organization is identified as (a) Cost Effectiveness (Effect1), (b) Integration with 

other Systems (Effect2), (c) Decision Support (Effect3), (d) Adaptability to Change (Effect4) (e) Training and Support 

(Effect5) and (e) Innovation and Upgradation (Effect6).  

Based on the results of the factor analysis, a structural equation model has been created to assess the 

effectiveness of organizations about their accounting information system practices (see Figure) 

 
Figure 1. Model of structural equation for accounting information system effectiveness 

 
In the structural equation model examined, the standardized regression coefficients for utilising accounting 

information systems range from 0.57 to 1.00, while those for organizational effectiveness range from 0.79 to 0.90, all falling 

between -1 and 1. All factor loadings are exceptionally high and statistically significant, with p-values less than 0.05. 

In the selected model, the fit indices indicate a well-fitting model. Specifically, the χ2/df ratio is 2.189, below the 

3.0 threshold. The Comparative Fit Index (CFI) is 0.981, exceeding the recommended 0.9. The Incremental Fit Index (IFI) 

also stands at 0.981, above the 0.9 threshold. The Tucker-Lewis Index (TLI) is 0.976, the Normed Fit Index (NFI) is 0.965, 

and the Relative Fit Index (RFI) is 0.956, all of which are greater than 0.9. Additionally, the Root Mean Square Error of 

Approximation (RMSEA) is 0.055, which is below the 0.08 cutoff. Therefore, all the model indices meet the standard 

criteria, confirming the model is well-fitted. 
We checked the average variance extracted (AVE) values to verify the selected model's convergent validity. The 

AVE for the accounting information system's practice is 0.526, and for the organization's effectiveness, it is 0.729. Since 

both AVE values are above 0.5, this suggests that the model demonstrates convergent validity. 

To assess discriminant validity, the maximum shared variance (MSV) between the practice of accounting 

information systems and organizational effectiveness is 0.168. This value is lower than both the square root of the Average 

Variance Extracted (AVE) for the practice of accounting information systems (0.725) and the square root of the AVE for 

organizational effectiveness (0.854) (as shown in Table 2). Therefore, the model in question demonstrates satisfactory 

discriminant validity. 

With a significance level of p = 0.001, the route coefficient in the structural equation model that represents the 

impact of information systems for accounting practices on organizational effectiveness is 0.17. So, the practice of accounting 

information systems significantly contributes to the organisation's effectiveness (as the p-value is less than 0.05). So, the 

null hypothesis is rejected. As a result, the practice of accounting information systems contributes significantly to the 

effectiveness of an organization (Fornell & Larcker, 1981; Hair et al., 2019; Kline, 2015; Royston, 1982). 

 

DISCUSSIONS 

The findings of this study underscore the critical role that AIS play in enhancing organizational effectiveness, particularly 

within the context of the RMG industry in Chattogram, Bangladesh. Through a meticulous examination of various 

dimensions, including financial reporting accuracy, timeliness of decision-making, data security integrity, ease of 

accessibility, regulatory standards compliance, and user satisfaction, the research illuminates the multifaceted impact of AIS 



Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

55 

on organizational operations.  

The structural equation model (SEM) developed in this study provides valuable insights into how AIS influences 

organizational effectiveness. The high standardized regression weights and statistically significant factor loadings 

underscore the robustness of the model. Moreover, the model's fit indices, including χ2/df, CFI, IFI, TLI, NFI, RFI, and 

RMSEA, demonstrate its appropriateness for the dataset, thereby enhancing the credibility of the findings. Furthermore, 

validating the model through convergent and discriminant validity tests further bolsters the study's credibility. The 

attainment of convergent validity, as evidenced by the average variance expected (AVE) values exceeding the recommended 

threshold of 0.5, supports the measurement model's consistency and reliability. Similarly, the confirmation of discriminant 

validity, as indicated by the lower maximum shared variance (MSV) compared to the square roots of AVEs, underscores 

the distinctiveness of the latent constructs under investigation. Overall, the findings suggest that RMG organizations in 

Chattogram, Bangladesh, benefit significantly from adopting and effectively utilising AIS. Organizations can bolster their 

overall effectiveness and competitiveness in the global marketplace by leveraging AIS capabilities to improve financial 

reporting accuracy, facilitate timely decision-making, ensure data security and integrity, and enhance user satisfaction.  

The results indicate a significant positive relationship between the practice of AIS and organizational effectiveness. 

Adopting and utilising AIS methodologies can improve decision-making processes, streamline operations, and enhance 

financial reporting accuracy within RMG organizations. These findings resonate with broader literature suggesting that 

technological advancements can yield tangible benefits for organizational performance when effectively integrated into 

business processes. Research has consistently illustrated the advantages of AIS in optimizing operations and enhancing 

decision-making frameworks. This aligns with Andrade and Tumelero (2022), who emphasized the strategic importance of 

AIS in achieving operational excellence. The results are also supported by Kareem et al., (2021), who noted that managers 

in small and medium enterprises leverage AIS to enhance efficiency, reliability, and quality, collectively contributing to 

improved performance outcomes. In addition, research has continuously substantiated the link between AIS and 

organizational success, emphasizing the system's importance in improving key operational areas. Grande, Estébanez, and 

Colomina (2011) underlined that implementing AIS improves decision-making by delivering fast and accurate financial 

data, resulting in better planning and control mechanisms. Furthermore, Kouser et al. (2011) discovered that AIS adoption 

considerably enhances internal corporate operations by improving financial procedures, decreasing mistakes, and boosting 

effective resource allocation. These benefits are consistent with the results of Nicolaou (2000), who found that organizations 

that use AIS have enhanced organizational coordination and better alignment between operational and strategic goals. 

Furthermore, AIS improves reporting capabilities, which contributes to greater openness and accountability inside 

businesses (Kanellou & Spathis, 2013). This transparency is vital for building trust with stakeholders and ensuring 

regulatory compliance, both of which are required for long-term organizational performance. Similarly, Grabski, Leech, and 

Schmidt (2011) found that integrating AIS improves performance monitoring and control, directly influencing operational 

efficiency and overall company success. The cumulative evidence from these studies illustrates that adopting AIS is a 

technological upgrade and a strategic imperative that can significantly enhance organizational capabilities and 

competitiveness across various sectors. The literature consistently supports that AIS is crucial in enhancing operational 

efficiency and decision-making processes, thereby contributing to overall organizational effectiveness. The integration of 

AIS is shown to yield tangible benefits, such as improved compliance with standards and enhanced financial performance, 

making it an indispensable asset for organizations aiming to thrive in competitive environments. 

This study extends these findings to the context of the RMG industry in Chattogram, Bangladesh, indicating that 

the advantages of AIS are not confined to specific sectors or geographical areas but are universally applicable. The 

increasing complexity and competitiveness of the RMG sector necessitate sophisticated information management tools, 

which AIS provides. As organizations face mounting pressures to comply with regulatory standards and meet customer 

demands, the role of AIS in improving accuracy, speed, and security in financial reporting becomes even more critical 

(Brodny, 2022). The ability of AIS to enhance organizational efficiency is particularly relevant in industries where 

operational transparency and timely information are paramount. 

Moreover, the technological advancements and heightened awareness within the industry contribute to the growing 

adoption of AIS. Organizations increasingly recognize the need for transparency and improved operational control, viewing 

digitization as essential for survival in the global market (Rasethuntsa, 2022). This study's clear correlation between AIS 

and user satisfaction underscores the importance of accessible, accurate, and timely information in achieving higher 

organizational performance levels. This aligns with findings from (Mihai et al., 2023), who noted that digital transformation 

driven by AI technologies significantly enhances operational capabilities in various sectors, including textiles (Mihai et al., 

2023). 

Despite the consistency of these results with prior research, certain contextual factors unique to Chattogram's RMG 

sector may account for outcome variations. Bangladesh's rapidly evolving regulatory environment, characterized by 

increased global scrutiny on labor practices and sustainability, may compel companies to adopt AIS as part of broader 

compliance and reporting frameworks (Vărzaru, 2022). This regulatory pressure can drive organizations to enhance their 

information systems to meet local and international standards, thereby improving their overall effectiveness. 

Looking forward, several avenues for future research emerge from this study. While the direct impact of AIS on 

organizational effectiveness has been established, exploring the mediating roles of factors such as employee skill 

development, leadership practices, and external market conditions could yield deeper insights into enhancing AIS 

effectiveness (Ge et al., 2022). Expanding research beyond the RMG sector to other industries in Bangladesh or across 

South Asia could further elucidate how different industrial contexts influence AIS practices. Additionally, investigating the 

long-term impacts of AIS adoption will be crucial to understanding whether organizations continue to experience sustained 

operational improvements or face diminishing returns over time (Xiao & Boschma, 2022). As the global push for digital 



Islam, Bangladesh Journal of Multidisciplinary Scientific Research 9(4) (2024), 49-58

 

56 

transformation accelerates, examining the role of emerging technologies like AI and blockchain in optimizing AIS functions 

will also be of great significance (Chatterjee, 2020). 

Overall, this study not only highlights the critical role of AIS in enhancing the effectiveness of RMG organizations 

in Chattogram, Bangladesh but also lays the groundwork for future research to explore the evolving dynamics of technology 

and organizational performance in this rapidly changing industrial landscape 

 

CONCLUSIONS 

In conclusion, this study provides compelling evidence of the positive impact of AIS on organizational effectiveness within 

the RMG industry in Chattogram, Bangladesh. The findings highlight the importance of integrating technological 

advancements, such as AIS, into organizational processes to drive efficiency, productivity, and performance. By recognizing 

the pivotal role of AIS in enhancing decision-making processes, streamlining operations, and ensuring regulatory 

compliance, organizations can position themselves for sustained success in today's dynamic business environment. 

The structural equation model's robustness, validated through convergent and discriminant validity tests, lends 

credence to the study's findings and underscores the reliability of the relationships observed. As such, policymakers, industry 

practitioners, and organizational leaders are encouraged to prioritize investments in AIS infrastructure and capabilities to 

harness its full potential for organizational advancement and competitiveness.  

While the research methodology is robust, several limitations should be acknowledged. Firstly, the study focuses 

on a specific industry in a particular geographical location, limiting the generalizability of findings to other industries or 

regions. Moreover, the organisation size, nature and type variation may distort the result. Additionally, relying on employee 

self-reported data may introduce response bias, as participants might provide socially desirable answers. Employing mixed-

method approaches or incorporating objective performance metrics could mitigate these concerns and enhance the 

robustness of future research endeavours. Furthermore, the study does not explore the potential moderating or mediating 

variables that could influence the relationship between AIS and organizational effectiveness. 
 

 

Author Contributions: Conceptualization, M.I.; Methodology, M.I.; Software, M.I.; Validation, M.I.; Formal Analysis, M.I.; Investigation, M.I.; 

Resources, M.I.; Data Curation, M.I.; Writing –Original Draft Preparation, M.I.; Writing –Review & Editing, M.I.; Visualization, M.I., Supervision, M.I. 
Project Administration, M.I.; Funding Acquisition, M.I. Authors have read and agreed to the published version of the manuscript.  

Institutional Review Board Statement: Ethical review and approval were waived for this study, due to that the research does not deal with vulnerable 

groups or sensitive issues. 
Funding: The authors received no funding for this research. 

Acknowledgements: It is an acknowledgement that all the authors contributed equally. 

Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. 
Data Availability Statement: The data presented in this study are available on request from the corresponding author. The data are not publicly available 

due to restrictions.  

Conflicts of Interest: The authors declare no conflict of interest.      
                                                                                                                                                                                                                              

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APPENDICES 

Appendix A: Questionnaire 
Title: Organizational Effectiveness for Accounting Information System Practice: A Study on Some Selected Ready Made 

Garments Factories of Chattogram in Bangladesh 

 
A. Name of the respondent  
B. Respondent Organization  

Sl. No. Questionnaire Variable Name Strongly 

disagree 
Disagree Neutral Agree Strongly 

agree 
1. Practice of Accounting Information System 
a. The AIS accurately reflects the financial 

status of our organization 
Financial Reporting 
Accuracy 

     

b. Information from the AIS is provided in a 

timely manner for decision-making 
Timeliness of decision-

making 
     

c. I feel confident in the security and integrity 
of data within the AIS 

Data Security- Integrity      

d. Accessing information from the AIS is 

convenient and user-friendly 
Ease of Accessibility      

e. Our AIS complies with relevant accounting 
and regulatory standards 

Regulatory Standards 
Compliance 

     

f. Overall, I am satisfied with the functionality 
of the AIS 

User Satisfaction      

2. Effectiveness of Organization 

a. The AIS is cost-effective in terms of the 

benefits it provides 
Cost Effectiveness      

b. The AIS seamlessly integrates with other 
organizational systems 

Integration with other 
Systems 

     

c. The AIS significantly contributes to effective 
decision-making in our organization 

Decision Support      

d. The AIS can adapt well to changes in our 

organizational environment 
Adaptability to Change      

e. Training and support for AIS users are 

sufficient and effective 
Training and Support      

f. Our organization regularly innovates and 
upgrades the AIS to meet changing needs 

Innovation and 
Upgradation 

     

 

 
 

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