Marketing Information Systems and Management Information Systems: Education and Training

Computer education and computer training is becoming more important as technology advances. Human resource specialists will be forced to make crucial decisions that will impact the total organization as more organizations use computer technology. Information is important to the organization. Business executives and managers need to be educated and continuously trained on computer information systems. The benefits from computer education and training outweigh its costs. This is evident by the increasing interest in education and training in business organizations. This article compares and discusses management information systems and marketing information systems and focuses upon the training that is needed for today's managers and executives. It is an attempt to review the major concerns of MKIS and MIS education and training.

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Evaluation of management information systems: A study at a further education and training college

SA Journal of Information Management ◽

10.4102/sajim.v15i1.531 ◽

2013 ◽

Vol 15 (1) ◽

Cited By ~ 2

Author(s):

Mariette Visser ◽

Judy Van Biljon ◽

Marlien Herselman

Keyword(s):

Information Systems ◽

Evaluation Model ◽

Management Information Systems ◽

Education And Training ◽

Further Education ◽

Evaluation Tool ◽

Management Information ◽

Evaluation Models ◽

Success Evaluation ◽

And Training

Background: Management information systems (MIS) are pivotal in the efficient and effective running of Further Education and Training (FET) colleges. Therefore, the evaluation of MIS success is an essential spoke in the wheel of FET college success. Based on an extensive literature review it was concluded that no MIS success evaluation model for FET colleges in South Africa exists.Objectives: The main objective was to propose a MIS evaluation model and evaluation tool(questionnaire), and verify the model empirically by evaluating the MIS at a selected FET college. The supporting objectives were firstly, to identify the most appropriate MIS evaluation models from literature. Secondly, to propose a MIS evaluation model for FET colleges based on the literature. Thirdly, to develop the evaluation tool (questionnaire) based on these models. Fourthly, to capture and analyse data from one FET college, in order to evaluate the performance of the MIS at the college. The final supporting objective was to evaluate the proposed model by triangulating the findings from the survey with the findings from the interviews.Method: The proposed MIS evaluation model is based on the integration of three existing MIS evaluation models. The evaluation tool was developed by combining four empirically tested questionnaires that capture the constructs in the underlying models. A survey and semi-structured interviews were used as data collection methods. The statistical tests for consistency, scale reliability (Cronbach’s alpha) and unidimensionality (Principal Component Analysis) were applied to explore the constructs in the model.Results: Results from the empirical testing of the newly designed evaluation tool were used to refine the initial model. The qualitative data capturing and analysis added value in explaining and contextualising the quantitative findings.Conclusion: The main contribution is the SA-FETMIS success model and evaluation tool which managers can use to evaluate the MIS at an educational institution. The novelty of the research lies in using a mixed methods approach where previous MIS success evaluation studies mainly used quantitative methods.

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A Model to Update Accounting Curricula for Emerging Technologies

Journal of Emerging Technologies in Accounting ◽

10.2308/jeta-51396 ◽

2016 ◽

Vol 13 (1) ◽

pp. 161-169 ◽

Cited By ~ 12

Author(s):

Joshua G. Coyne ◽

Emily M. Coyne ◽

Kenton B. Walker

Keyword(s):

Information Systems ◽

Computer Technology ◽

Management Information Systems ◽

Accounting Information ◽

Systems Development ◽

Management Information ◽

Accounting Information Systems ◽

New Graduates ◽

Accounting Management ◽

And Training

ABSTRACT The prevailing model for accounting information systems (AIS) courses is decades old and needs to be modernized for cutting-edge technologies and demands for information services. New graduates in accounting require new perspectives and training to enter what is becoming an important subdiscipline in accounting that prepares accountants to serve effectively as data analysts, IT auditors, and participants in systems development. One hurdle preventing the adoption of these roles is a disconnect between AIS education and AIS practice. This article identifies relevant professional competencies and proposes some corresponding actions by the academy to combine accounting, management information systems, and computer technology. JEL Classifications: M4; L8.

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Trust in Management Information Systems (MIS)

Zeitschrift für Arbeits- und Organisationspsychologie A&O ◽

10.1026/0932-4089/a000306 ◽

2020 ◽

Vol 64 (1) ◽

pp. 6-16 ◽

Cited By ~ 5

Author(s):

Sarah M. Meeßen ◽

Meinald T. Thielsch ◽

Guido Hertel

Keyword(s):

Information Systems ◽

Information Overload ◽

Management Information Systems ◽

Empirical Work ◽

Future Research ◽

Management Information ◽

Trust In Management ◽

Actual Use ◽

Trust In Technology ◽

The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

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