Management Information Systems: Impact on Dairy Farm Profitability

1990 ◽  
Vol 12 (2) ◽  
pp. 267 ◽  
Author(s):  
William F. Lazarus ◽  
Deborah Streeter ◽  
Eduardo Jofre-Giraudo
1990 ◽  
Vol 12 (2) ◽  
pp. 267-277
Author(s):  
William F. Lazarus ◽  
Deborah Streeter ◽  
Eduardo Jofre-Giraudo

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 239
Author(s):  
Ayalew Kassahun ◽  
Robbin Bloo ◽  
Cagatay Catal ◽  
Alok Mishra

Nowadays, different types of farm management information systems (FMIS) are being used in practice in several sectors of farming, such as dairy, arable, fruits, vegetables, and meat farming. The goal of this research is to identify, evaluate, and synthesize existing FMISs in the Dutch dairy sector and present the state–of–the–art. We performed a multivocal literature review (MLR) to find sources both in scientific and grey literature. A grey literature search was adopted because most of the FMISs were not reported in the scientific literature. To support and improve the effectiveness of the MLR process, an online survey was first sent to Dutch dairy farmers to identify the FMISs that are being used in practice. With the help of the MLR process, we identified 50 FMISs used by Dutch dairy farmers. We identified 33 features of these FMISs and listed the advantages and disadvantages of the FMISs.


2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

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.


10.1596/28261 ◽  
2017 ◽  
Author(s):  
Namrata Saraogi ◽  
Diana Katharina Mayrhofer ◽  
Husein Abdul-Hamid

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