Question

Comment on the following research done in a service industry as to the extent to which it meets the hallmarks of scientific investigation.

Sara is the information Technology Director of a medium sized firm. She observes that the newly installed management information system (MIS) is not being used by meddle mangers as much as we originally expected . Recognizing there surely a problem ; Sara develops the following broad problem statement:" What should be done to Increase the use of the newly installed MIS by our middle managers?" . For this purpose , she collected information by talking to some the middle level managers ; Sara finds that many of them have little idea as to what the is all about, and what kinds of Information can provide. Sara uses Google Scholar to explore future information on the lack of use of management information systems in organization . The search indicates that many middle level managers are not open to new ideas way solving problem. To lesi research hypothesis the researcher develops short questionnaire measuring the various factors theorized to influence the of the MIS by managers from 35 organizations . Sara concludes that many mangers do not use the MIS because they do not believe that using the system would enhance their job performance . The results promise to be accurate with a least a 97% chance of success in problem solving . Sara will make research recommendation based on the analysis the data obtained through the questionnaires .

purposiveness:

Rigor:

testability:

repllcability:

precision and confidence:

objectivity:

Generalizability:

** please short and best answers? thanks

Answer 1

Answer:

Purposiveness: (Aim of the research) " What should be done to increase the use of the newly installed MIS by our middle managers?"

Rigor:(Quality of Research) Data collected from middle managers, google scholar, & short questionnaire

Testability:(To test a hypothesis) Sara formed a hypothesis to test them.

Replicability: Means the same research information and methods can be used with a different dataset or not.

Precision and Confidence: Quality of test result. Example in this case (The results promise to be accurate with a least a 97% chance of success )

Objectivity: Research should not be biased by the values & perceptions of the researcher.

Generalizability: it is the extent of research findings applicable to other settings also.