INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Impact of Technological Interventions on Human Resource Practices  
and Organizational Effectiveness: An Empirical Study  
Dr. Nagabhushana S.  
Assistant Professor, Department of Commerce, Government Ramnarayan Chellram College of  
Commerce and Management, Palace Road, Bengaluru – 560 001  
DOI : https://doi.org/10.51583/IJLTEMAS.2025.1412000143  
Received: 05 January 2026; Accepted: 10 January 2026; Published: 20 January 2026  
ABSTRACT  
Human Resource Management (HRM) has moved far beyond its traditional administrative role and now  
functions as a strategic driver of organizational effectiveness. In recent years, rapid advances in information and  
digital technologies have fundamentally reshaped HR practices through the adoption of Human Resource  
Information Systems (HRIS), e-HRM platforms, automation tools, and analytics-driven decision-making. These  
technological interventions have transformed core HR functions such as recruitment, selection, training,  
performance appraisal, compensation, and employee engagement. The present study empirically examines the  
influence of technological interventions in HR practices on HR efficiency and organizational effectiveness in  
selected IT firms operating in Bengaluru. Primary data were collected from 300 respondents using a structured  
questionnaire. The data were analyzed using descriptive statistics, factor analysis, ANOVA, and multiple  
regression techniques. The findings reveal a statistically significant and positive relationship between  
technology-enabled HR practices and HR efficiency, indicating that digital HR systems contribute meaningfully  
to improved employee satisfaction, operational efficiency, and strategic alignment. The study highlights the  
growing importance of integrating technology with HR strategy to achieve sustainable organizational  
performance.  
Key Words: Human Resource Management, HRIS, e-HRM, Technological Intervention, HR Efficiency,  
Organizational Effectiveness  
INTRODUCTION  
The contemporary business environment is characterized by rapid technological change, intense competition,  
and an increasing emphasis on knowledge-based work. In this context, Human Resource Management has  
emerged as a critical function for building and sustaining organizational capability. The integration of technology  
into HR practices has significantly altered the way organizations manage their human capital. Digital tools such  
as HRIS, cloud-based platforms, artificial intelligence-enabled recruitment systems, and performance analytics  
have reduced manual workload while improving accuracy, transparency, and speed of HR operations.  
In technology-driven sectors such as the IT industry, where talent is a key competitive resource, the effective  
use of HR technology is no longer optional but essential. Technology-enabled HR practices allow organizations  
to shift focus from routine administrative tasks to strategic activities such as talent development, workforce  
planning, and employee engagement. Against this backdrop, the present study seeks to examine how  
technological interventions in HR practices influence HR efficiency and overall organizational effectiveness.  
Recruitment and Selection: Technology has made the recruitment and selection process more efficient and  
effective by automating the process of collecting and processing resumes, scheduling interviews, and conducting  
assessments. This has reduced the time and cost involved in the recruitment process, enabling HR professionals  
to focus on strategic talent acquisition. Additionally, by using data analytics and machine learning, HR  
professionals can identify the most qualified candidates for the job, leading to better hiring decisions.ꢀ  
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Onboarding: Technology has also revolutionized the onboarding process. HR professionals can use software  
to create personalized onboarding plans for new hires, which can include videos, interactive training modules,  
and other digital resources. This makes the onboarding process more engaging and effective, leading to higher  
levels of employee satisfaction and retention.ꢀ  
Performance Management: Technology has enabled HR professionals to implement more sophisticated  
performance management systems. Performance management software can track employee goals and progress,  
provide real-time feedback, and facilitate ongoing coaching and development. This can lead to higher levels of  
employee engagement and productivity.ꢀ  
Employee Engagement: Technology has also had a significant impact on employee engagement. HR  
professionals can use digital platforms to communicate with employees, provide training and development  
resources, and recognize and reward employee achievements. By leveraging technology to create a more  
engaging workplace, organizations can improve employee satisfaction and retention.ꢀ  
Organizational Effectiveness: Finally, technology has had a significant impact on organizational effectiveness.  
By automating routine HR tasks, HR professionals can spend more time on strategic initiatives that drive  
business growth. Additionally, by using data analytics and machine learning, HR professionals can identify areas  
for improvement and develop targeted interventions to improve organizational effectiveness.  
REVIEW OF LITERATURE  
Early research on HR technology primarily focused on automation and administrative efficiency. Studies by  
Ashbaugh and Miranda (2002) highlighted how HRIS facilitated decentralization and employee self-service,  
though concerns were raised regarding managerial control and employee autonomy. Caldwell (2001)  
emphasized the evolving role of HR professionals as change agents in technologically enabled organizations.  
Stone et al. (2006) observed that HR information technologies enhanced managerial feedback and monitoring  
capabilities, thereby influencing performance management outcomes.  
More recent scholarship has shifted attention toward the strategic and employee-centric dimensions of digital  
HRM. Bondarouk and Brewster (2016) conceptualized e-HRM as a mechanism for implementing HR strategies  
through digital platforms, emphasizing value creation rather than mere efficiency. Stone et al. (2020) further  
argued that digitalization and analytics would redefine HR decision-making and organizational agility.  
Contemporary empirical studies reinforce these arguments. Recent research indicates that digital HRM systems  
significantly improve HR efficiency and organizational performance when supported by organizational agility  
and leadership commitment (Mahmoud, 2025). Similarly, studies on AI-enabled HR practices demonstrate  
improvements in recruitment accuracy, process automation, and real-time performance monitoring, particularly  
in technology-intensive industries (Nawaz, 2024). Empirical evidence also suggests that HRIS functionalities  
such as e-recruitment, e-training, and e-payroll positively influence employee performance and engagement  
(Ondimu et al., 2024). Collectively, these studies underscore the strategic relevance of technological  
interventions in HR practices and provide a strong theoretical foundation for the present research.  
The literature reviews on intervention and impact of the Information Technology on HR practices in  
Multinational Information Technology organizations as Change Agent, suggested that technology makes the  
human resource work simple and easier. IT intervention in HR practices are very impressive in organizational  
learning, effective communication with the employees, for the impressive organizational learning process and  
of the availability of information anytime and anywhere as manager required this to use their skills and abilities  
in organization and for timely decrease their weakness and other aspects and has changed the organization  
including human resources following function such as recruiting, training, performance management, human  
resource management, idea management tools. HRIT provides information about employee’s data, job  
characteristics, employment application requirement, selection and staffing, the procedure of employment,  
professional and individual improvement, corporate structure, educational costs, performance appraisal,  
organizing, personal planning, etc.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Statement of the Problem  
Despite widespread adoption of HR technologies, organizations vary considerably in how effectively these tools  
are utilized to enhance HR efficiency and organizational outcomes. In many cases, investments in HR technology  
are driven by trends rather than systematic evaluation of their impact. This creates a gap between technological  
adoption and realized benefits. Therefore, there is a need for empirical research that examines whether and to  
what extent technological interventions in HR practices contribute to improved HR efficiency and organizational  
effectiveness, particularly in the IT sector.  
Objectives of the Study  
1. To examine the impact of technological interventions in HR practices on HR efficiency in selected IT  
firms.  
2. To analyze the relationship between technology-enabled HR practices and organizational effectiveness.  
Hypothesis  
H01: There is no significant relationship between technological intervention in HR practices and HR efficiency  
in selected IT firms.  
RESEARCH METHODOLOGY  
The study adopts an exploratory and analytical research design. Primary data were collected from employees of  
IT firms operating in Bengaluru. A structured, closed-ended questionnaire was administered using both online  
and offline modes. A sample size of 300 respondents was selected based on accessibility and adequacy for  
multivariate analysis. Convenience sampling was employed due to time and organizational constraints.  
The questionnaire consisted of items measuring technological interventions in HR practices and HR efficiency,  
assessed on a five-point Likert scale ranging from strongly disagree to strongly agree. The reliability of the  
instrument was established through Cronbach’s alpha, while construct validity was confirmed using factor  
analysis. The Kaiser-Meyer-Olkin (KMO) value of 0.861 indicated sampling adequacy. Data were analyzed  
using descriptive statistics, factor analysis, ANOVA, and step-wise multiple regression.  
Data Analysis and Discussion  
Descriptive analysis revealed a high level of agreement among respondents regarding the effectiveness of  
technology-supported HR practices. Factor analysis confirmed the suitability of the data for further statistical  
examination. Regression analysis demonstrated a strong and positive relationship between technological  
interventions, such as time and labour management systems, web-based HR services, digital dissemination of  
HR information, and transactional HR functions and HR efficiency.  
The results indicate that the web presence of HR functions and digital information systems play a particularly  
important role in enhancing HR efficiency. These findings are consistent with prior studies that emphasize the  
role of digital HR platforms in improving transparency, responsiveness, and employee engagement. The  
discussion links empirical findings with existing literature, reinforcing the argument that technology-enabled  
HR practices contribute not only to operational efficiency but also to strategic organizational outcomes.  
The respondent’s nature has described using descriptive analysis in the study. Multiple regressions were utilized  
for testing the research hypothesis, which was presented and tested.  
HR transformational practices (i.e. HR activities that meet strategic organizational objectives, such as strategic  
planning, organizational development, knowledge management, change management, and so on) that are  
supported by the HRIS have contributed to an increase in overall employee satisfaction, motivation, presence  
(the opposite of absenteeism), and retention (obverse of turnover).  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Table - 1: Response Percentage  
Parameter Percent Valid Percent Cumulative Percent  
Strongly disagree 2.1  
2.1  
2.1  
Disagree  
Neutral  
10.0  
10.0  
69.3  
15.0  
3.6  
12.1  
81.4  
96.4  
100.0  
69.3  
15.0  
3.6  
Agree  
Strongly Agree  
Total  
100.0  
100.0  
80  
70  
60  
50  
40  
30  
20  
10  
0
0
1
2
3
4
5
6
80  
70  
60  
50  
40  
30  
20  
10  
0
Neutral  
Disagree  
Agree  
Strongly Disagree Neutral  
disagree  
Agree  
Strongly  
Agree  
Strongly  
Agree  
Strongly  
disagree  
Figure - 1: Response Percentage Chart  
Table - 2: Response Descriptive Statistics  
Range Min Max Mean  
S.D.  
Skewness  
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error  
4.00 .00 4.00 2.0786 .68978 .163 .205  
From the above analysis, 96.4% of the respondents were agree for the HR activities that meet strategic  
organizational objectives, such as strategic planning, organizational development, knowledge management,  
change management, etc. (i.e. HR transformational practices), that are supported by the HRIS, have contributed  
to the improvement of overall employee satisfaction, motivation, presence (obverse of absenteeism) and  
retention (obverse of turnover). HR transformational practices (i.e. HR transformational practices) that support  
strategic organizational objectives, such as strategic planning, organizational development, knowledge  
management, change management, and so on (i.e. HR transformational practices), have helped to improve  
overall employee involvement, trust, loyalty, commitment, and the "social climate" between workers and  
management.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025  
Table - 3: Response Percentage  
Parameter Percent Valid Percent Cumulative Percent  
Strongly disagree 2.9  
2.9  
2.9  
Disagree  
Neutral  
8.6  
8.6  
11.4  
80.7  
96.4  
100.0  
69.3  
15.7  
3.6  
69.3  
15.7  
3.6  
Agree  
Strongly Agree  
Total  
100.0  
100.0  
80  
70  
60  
50  
40  
30  
20  
10  
0
80  
70  
60  
50  
40  
30  
20  
10  
0
Neutral  
Agree  
Disagree  
Strongly  
Agree  
Strongly Disagree Neutral Agree Strongly  
disagree Agree  
Strongly  
disagree  
Figure - 3: Response Percentage Chart  
Table - 4: Response Descriptive Statistics  
Range  
Min  
Max  
Mean  
S.D.  
Skewness  
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error  
4.00 .00 4.00 2.0857 .70441 .004 .205  
From the above analysis, 96% of the respondents were agree for the HR activities that meet strategic  
organizational objectives, such as strategic planning, organizational development, knowledge management,  
change management, etc. (i.e. HR transformational practices), that are supported by the HRIS, have contributed  
to the improvement of overall employee involvement, trust, loyalty, commitment and “social climate” between  
workers and management.  
Hypothesis testing of the study  
H01: There is no relationship between technological intervention in HR practices and enhanced HR efficiency in  
sample firms.  
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Independent Variable  
Dependent Variable  
Time and labour management (supports)  
Face-to-face HR services (IT replacing)  
Publishing of HR information (supports)  
Web presence of HR function  
HR efficiency  
Transactional HR function (supports)  
Human resource planning (supports)  
Table 5: Factor Analysis – KMO and Bartlett's Test  
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.  
Approx. Chi-Square  
.861  
3138.791  
13  
Df  
Bartlett's Test of Sphericity  
Sig.  
0.000  
The KMO measures the sampling adequacy table is showing that the responses given by the sample respondents  
are adequate and satisfactory in factor analysis with the value .861. Bartlett’s test result indicates the strength of  
the relationship among the technology intervention influencing HR efficiency in sample firm variables.  
Table - 6: Descriptive Analysis on Hypothesis  
Sl. No.  
Factors  
Mean  
4.12  
4.22  
4.22  
4.32  
3.80  
3.81  
SD  
1
2
3
4
5
6
Time and labour management (supports)  
Publishing of HR information(supports)  
Face-to-face HR services (IT replacing)  
Web presence of HR function  
1.04  
1.02  
0.93  
0.74  
1.20  
1.11  
Transactional HR function (supports)  
Human resource planning (supports)  
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Table - 7: Results of step-wise Multiple Regression of Technology intervention and the HR Efficiency in  
sample firms  
R
Adjusted R Std. Error of  
Model Variables Entered  
R
Square  
Square  
0.296  
0.415  
0.466  
0.494  
0.512  
the Estimate  
1
2
3
4
5
Time and labour  
management (supports)  
0.546 0.298  
0.646 0.418  
0.686 0.471  
0.707 0.500  
0.720 0.519  
4.856  
Publishing of HR  
information(supports)  
4.411  
Face-to-face HR services  
(IT replacing)  
4.212  
Web presence of HR  
function  
4.099  
Transactional HR function  
(supports)  
4.029  
Transactional HR function  
(supports)  
6
0.745 0.554  
0.544  
5.895  
Table - 8: Results of step-wise Multiple Regression of Technology intervention and the HR Efficiency in  
sample firms  
Model  
Regression  
Sum of Squares Df  
Mean Square F  
Sig.  
5460.91  
1
5460.91 136.98 0.002  
38.15  
1 Residual  
Total  
8158.45 300  
11599.57 300  
Regression  
2 Residual  
Total  
4847.58  
2
2423.79 132.55  
38.4  
0.01  
6751.98 300  
11599.57 300  
Regression  
3 Residual  
Total  
5460.46  
3
1820.15 103.58 0.005  
38.53  
6158.9 300  
11599.57 300  
Regression  
5801.98  
4
1450.49  
38.66  
86.51 0.004  
4
Residual  
5797.59 300  
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Model  
Total  
Sum of Squares Df  
Mean Square F  
Sig.  
11599.57 300  
Regression  
5 Residual  
Total  
6015.24  
5
1205.04  
38.79  
75.1 0.003  
5584.15 299  
11599.57 300  
Regression  
6 Residual  
Total  
6450.54  
6
805.79  
38.92  
56.01  
0
5169.05 298  
11599.57 300  
Interpretation of Hypothesis  
H01: There is no relationship between technological intervention in HR practices and enhanced HR efficiency in  
sample firms  
Results  
The null hypothesis has been rejected for the following reasons  
Multiple Regression: The result of multiple regression between technology intervention influencing HR  
Efficiency with the value of the correlation coefficient of ranging from .546 to .745, squared R value ranged  
from .296 to .544.  
ANOVA: The results of the analysis of variance between technology intervention variables influencing HR  
Efficiency. The value of the resultant F ratio ranged between 55.02 and 147.98 and with significance levels less  
than 0.05.  
RESULT & DISCUSSION  
1. It was found that Web presence of HR function variables scored better on technology intervention in HR  
practices and HR efficiency.  
2. HR efficiency, Time and labour management (supports), Face-to-face HR services (IT replacing), Publishing  
of HR information (supports), Web presence of HR function, Transactional HR function (supports), Human  
resource planning variables are identified for the research.  
3. On the other factors i.e., Time and labour management (supports), Publishing of HR information (supports),  
Face-to-face HR services (IT replacing), Transactional HR function (supports Human resource planning  
(supports) also scored better.  
4. The result of multiple regression between technology intervention influencing HR Efficiency are as  
following results were observed with the value of the correlation coefficient of ranging from .546 to .745,  
squared R value ranged from .296 to .544.  
5. The results of the analysis of variance between technology intervention variables influencing HR Efficiency.  
The value of the resultant F ratio ranged between 55.02 and 147.98 and with significance levels less than  
0.05.  
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6. Time and labour management (support) resulted with the F ratio significant value of .002. It shows that this  
variable influence positively on organizational effectiveness.  
7. Publishing of HR information (supports) resulted with significant value of .010 which means it is influencing  
positively on organizational effectiveness.  
8. Face-to-face HR services (IT replacing) variable resulted with the F ratio significant value of .005. It shows  
that this variable influence positively on organizational effectiveness.  
9. Web presence of HR function variable resulted with the F ratio significant value of .004. This variable also  
positively influencing organizational effectiveness.  
10. Transactional HR function (supports) variable resulted with F ratio significant value of .003. Hence this  
factor also influencing positively.  
11. Transactional HR function (supports) factor resulted with F ratio significant value of .000. Hence this  
variable also positively influencing on organizational effectively.  
CONCLUSION  
The study concludes that technological interventions in HR practices have a significant and positive impact on  
HR efficiency and organizational effectiveness. Digital HR systems enable organizations to streamline  
processes, enhance employee satisfaction, and support strategic decision-making. For IT firms operating in a  
highly competitive environment, aligning HR technology with organizational objectives is essential for  
sustaining performance and growth. Future research may extend this study by adopting longitudinal designs,  
larger samples, or cross-sectoral comparisons to further validate the findings.  
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10. Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2020). The influence of technology  
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