IMPACT OF COMPUTER BASED INFORMATION SYSTEMS ON ORGANISATION PERFORMANCE IN ONIDA LTD.
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ISSN : 0973-7391 IJCSC Volume 4 • Number 1 • January-June 2013 pp. 31-35 IMPACT OF COMPUTER BASED INFORMATION SYSTEMS ON ORGANISATION PERFORMANCE IN ONIDA LTD. Dr. Dinesh Gupta Department of Computer Sciences, University of Jammu. ABSTRACT In this era of internationalisation of the business, managers and researchers around the world agree that the business competitions and management practices are undergoing profound transformations due to the greater use of Information Technology, which enable and support communication and coordination across organisational boundaries. Computer Based Information System (CBIS) is enabling the organisations to leverage their capability by creating information partnerships and electronic integration. This is enabling the creation of electronic markets and electronic hierarchy. This paper explores the impact of CBIS on Organisational Performance by collecting data from the employees of Onida Ltd. through a specifically designed questionnaire based upon five Likert scale. The findings indicate low impact of CBIS on OP. Keywords: Information, Technology, Organisation Performance. 1. INTRODUCTION as well as for control purposes and thus the managers In this era of internationalization of the business, are dependent upon the Information Systems. Hence, managers and researchers around the world agree that there is a need for management’s involvement in the the business competitions and management practices design and development of the Information Systems.. are undergoing profound transformations due to the During the last few decades, organizations have made greater use of Information Technology, which enable immense investments in Computer Based Information and support communication and coordination across Systems (CBIS). The implications of these investments organizational boundaries. Numerous information for performance have been widely discussed in business technology concepts such as electronic data interchange and academic communities. From the organizational application services and value-added networks are point of view the relationship between the organizational supporting communication and coordination in the performances and organizational effectiveness is organizations unprecedently. Computer Based important because these terms are often used Information System (CBIS) is enabling the organizations interchangeably (Rojas, 2000; Herman and Renz, 1998). to leverage their capability by creating information A definition of organizational effectiveness is provided partnerships and electronic integration. This is enabling by Robbins (1998) “the degree to which an organization the creation of electronic markets and electronic attains its short-term (ends) and long-term (means) goals, hierarchy (Malone, Yates, Banjamin, 1987). In the the selection of which reflects strategic constituencies, changing paradigms it has become imperative to the self-interest of the evaluator, and the life stage of the increase the effectiveness of an organization, to get the organization”. Effectiveness by that definition is therefore best out of its resources and meet the goals for which rating of performance. the organization has been created, so that the organization can live up to the expectations in this era 2. REVIEW OF LITERATURE of competition. Competition has increased among In the extant literature there are numerous studies which organizations because of the changes developing across have focused on CBIS and OP. Slack (1997) indicated that the world due to globalization and liberalization of the advantage of strategic constituents approach is the economies. Computer Based Information Systems (CBIS) recognition of the complexity of multiple dimensions of are the backbone of an organization. In other words, we an organization. The problems associated with this can say that an organization's Information System can approach include the difficulty in identifying the be viewed as a federation of Information Systems- one constituents, the difficulty in establishing their information system for each major organizational expectations, the importance of constituents changing function. These Information Systems provide most of over time, and the measurement of constituent criteria. the information necessary for management's planning Robbins (1998) suggested that the goal attainment theory
32 IJCSC approach is intuitively sound and is the most commonly discussions with the experts on the related subject. It used approach for measuring performance and comprised demographics and 38 items based on 5 point effectiveness. Some assumptions are necessary to Likert scale (5 < ----- > 1) ranging from (strongly agree) validate the goal attainment approach as a measure; to (strongly disagree). The respondent were asked to give goals must be identifiable, understandable, have general their perceived and actual openion regarding the agreement or consensus, and progress must be implementation of CBIS on OP measurable. Rojas (2000) proposed the Competing Values Framework (CVF) and described the model in Analysis terms of quadrants: human relations; open systems; Age wise perceptions about the impact of Information rational goal; and internal processes. Systems on actual performance in Onida. Thus, the existing literature has been showing Shared Vision: The table and the Fig. 1 depict the increasing interest towards understanding the impact mean scores of Age wise perceptions about the impact of Computer based Information Systems on organizations of Information Systems on actual performance in performance. Although this theme has been widely ONIDA. The table reveals that the mean score of the investigated, as a result different views have emerged. factor Shared Vision is maximum in case of Age > 30 & Some assert a positive impact (Bama, 1995; Stratopoulos, < = 50 (4.07), and lowest in case of Age < = 30 (4.01). 2000), while others hold the contradictory views Strategic Development: The table and the Fig. 1 depict (Brynjolfsson, 1995; Holland, 1997; Setzekorn, 1998). the mean scores of Age wise perceptions about the Nonetheless, it is crucial to discover how to relate the impact of Information Systems on the actual performance significance of Information Systems to organizations. in ONIDA. Also it has been seen that the factor Strategic Several researchers opine productivity as a measure of Development has maximum mean score in case of results achieved through investment in Information Age < = 30 (4.10), and lowest in case of Age > 50 (3.88). System. Strassmann (1990 and 1997) have highlighted the so called “Productivity Paradox”, and observed that the productivity and competitive advantage of information and communication systems emerges from strategic use of ICT and not from the investment in ICT as such. 3. DATA COLLECTION The data for the present research paper have been collected from both secondary and primary sources. The Figure 1: (Age Wise Performance in ONIDA) secondary data were extracted from several Journals, Cooperative Effectiveness: The table and the fig 1 books and website of the organization. The primary data depict the mean score of Age wise perception about the have been collected from 110 employees of the impact of Information Systems on the actual performance organisation through questionnaire. The primary data were collected through a specifically developed in ONIDA. In case of the factor Cooperative Effectiveness, questionnaire on the basis of the available literature the maximum mean score has been found in the Age30&
Impact of Computer Based Information Systems on Organisation Performance in ONIDA Ltd. 33 ONIDA. In case of the factor Best practices, the maximum Table 2 mean score is in case of the Age50 (3.30). Factors Exp Act Impact Thus, it can be concluded from the given table 1 that Shared Vision 3.86 4.11 (+)0.5 the factor Shared Vision has maximum contribution in Strategic Development 3.86 4.03 (+)0.15 the Age>30&
34 IJCSC of Inbound Logistic department the impact has been has been maximum in the Technology Management found to be minimal (3.50). In all other departments the department and Infrastructure Activity department impact has been satisfactory (mean score ranging from (4.47), followed by Marketing & Sales department and 3.63 to 4.04). Research & Development department (4.33), followed Co-operative Effectiveness (CE): The Table & Fig. 3 by Inbound Logistic department (4.17) and followed by depicts the department wise responses for the Impact of Operation department (4.06). Whereas in case of Service Information System on Co-operative Effectiveness. It can department and Finance/Account department the be seen from the table that the perceived impact on CE impact has been found to be minimal (3.67). Table 3 Department Wise Perceptions in ONIDA (Mean Scores) Departments Shared Strategic Co-operative Business Best Vision Development Effectiveness Ownership Practices Exp Act Exp Act Exp Act Exp Act Exp Act Technology management 3.88 4.32 3.88 4.35 4.10 4.47 3.97 3.82 3.32 3.65 Department HRM Department 3.83 4.03 4.00 4.03 3.92 4.42 3.88 3.94 3.00 3.06 Infrastructure Activity 4.05 4.38 4.13 4.17 4.03 4.47 3.75 4.29 4.00 4.04 Department Outbound Logistic 4.18 4.33 4.00 4.27 4.33 4.42 3.77 3.82 3.64 3.64 Department Inbound Logistic 3.43 3.47 3.46 3.50 3.56 4.17 3.08 3.83 3.50 3.75 Department Operations Department 3.55 3.60 3.75 3.84 3.50 4.06 3.50 3.52 3.50 3.52 Marketing and Sales 4.03 4.22 3.96 4.04 4.06 4.33 3.75 3.79 3.13 3.21 Department Service Department 3.87 4.04 3.59 3.63 3.69 3.76 3.82 3.96 3.54 3.61 Research and Development 3.97 4.33 4.13 4.63 4.22 4.33 3.83 4.50 3.83 4.42 Department Finance/Accounts 3.12 3.52 3.60 3.70 3.60 3.67 3.30 3.70 3.40 3.70 Department Any other 3.52 3.76 3.60 3.65 4.13 4.27 3.10 3.50 3.30 3.70 Business Ownership (BO): The Table and the Fig. 3 5. CONCLUSIONS depicts the department wise responses for the Impact of Although Computer Based Information Systems makes Information System on Business Ownership. It can be a positive contribution towards the overall performance seen from the table that the perceived impact on BO has of the select organization, combining the complementary been maximum in the Research & Development investments in work practices with Computer Based department, Infrastructure Activity department Information Systems investment is essential to stabilize (4.50 and 4.29). Whereas in of case Operation department and support the positive contribution in future. the impact has been found to be minimal (3.52). In all Therefore, the performance factors have been evaluated other departments the impact has been more or less by the employees of the organizations under study. After satisfactory (mean score ranging from 3.70 to 3.96). detailed analysis, a significant difference between the Best Practices (BP): the Table and the Fig. 3 depicts perceived and the actual impact on various performance the department wise responses for the Impact of factors has been seen. According to the employees of Information System on Best Practices. It can be seen from the organizations under study, there has been an the table that the perceived impact on BP has been improvement with the use of Computer Based maximum in the Research & Development department Information Systems. and Infrastructure Activity department (4.42 and 4.04). REFERENCES Whereas in case of HRM department the impact has been found to be minimal (3.06). In all other departments the [1] Albadvi, A. and Keramati, A. (2006) “A Proposal for a Framework or Research Approach on Information impact has been satisfactory (mean score ranging from Technology Impact on Corporate Level Productivity” 3.21 to 3.75). Information Technology Journal.
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