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Companies providing services for customers on-site require appropriate scheduling of employees and technicians. The availability, skills and experience of employees and travel times need to be considered. In addition, the required information should be made available as efficiently as possible. As a result of an increasing rate of digitalization, companies are changing from manual planning in Microsoft Excel or on planning boards and printed documents to integrated workforce management tools that automate planning steps and provide relevant documents. The market for these software tools is growing rapidly. In addition to established software providers such as SAP and Oracle, there are also small vendors on the market. Companies that decide to deploy their field service planning with an appropriate tool are faced the challenge of choosing a suitable method for the evaluating and analyzing the market. The paper is devoted to development of the model for the evaluation of software tools in the context of field service management in the oil and gas industry. The first step of proposed methodology involved market screening to identify suitable software tools. In the next step, criteria were defined that needed to be tested to compare the tools. Finally, the outcome of the evaluation and additional requirements allowed for a benefit analysis. After the evaluation model was developed, it was applied on five selected software tools. SAP Field Service Management was ranked as the best product for a defined use case. The tools from Odyssee and Salesforce ranked similarly in the categories that refer to the functional aspects. The field service management tools from Fergus and ReachOut are both available for free with very limited functionalities, and reached rank four and five, respectively. The result of this work can be used by companies providing services in the oil and gas industry to evaluate field service management tools. Following the model, a structured process is provided to reduce the time needed for software evaluation. Future studies can build on this work and focus either on different software tools or a different industry.
Dominic Welsh; Marco Pretterhofer; Vitaliy I. Mezhuyev. MODEL FOR EVALUATION OF SERVICE-MANAGEMENT TOOLS IN THE OIL AND GAS INDUSTRY. Applied Aspects of Information Technology 2020, 3, 288 -295.
AMA StyleDominic Welsh, Marco Pretterhofer, Vitaliy I. Mezhuyev. MODEL FOR EVALUATION OF SERVICE-MANAGEMENT TOOLS IN THE OIL AND GAS INDUSTRY. Applied Aspects of Information Technology. 2020; 3 (4):288-295.
Chicago/Turabian StyleDominic Welsh; Marco Pretterhofer; Vitaliy I. Mezhuyev. 2020. "MODEL FOR EVALUATION OF SERVICE-MANAGEMENT TOOLS IN THE OIL AND GAS INDUSTRY." Applied Aspects of Information Technology 3, no. 4: 288-295.
Researchers have shown that knowledge acquisition and sharing have considerably influenced the acceptance of various technologies. However, there is a scarce of knowledge on how these two factors affect the acceptance of Mobile learning (M-learning). Thus, this research is believed to be one of the few attempts that aims to understand the impact of knowledge acquisition and knowledge sharing on M-learning acceptance through the extension of technology acceptance model (TAM) by these factors. The data were collected from 735 IT undergraduate students enrolled in two different academic institutions in two different developing countries, namely Malaysia and Oman, using questionnaire surveys. The partial least squares-structural equation modeling (PLS-SEM) is used to validate the extended theoretical model. The findings indicated that knowledge acquisition has a significant positive influence on perceived ease of use and perceived usefulness of M-learning in both samples. Moreover, the findings revealed that knowledge sharing has a significant positive impact on perceived usefulness with respect to the Omani sample, whereas this relation was not supported in terms of the Malaysian sample. Theoretical and practical implications, limitations, and future research directions are also discussed.
Mostafa Al-Emran; Vitaliy Mezhuyev; Adzhar Kamaludin. Is M-learning acceptance influenced by knowledge acquisition and knowledge sharing in developing countries? Education and Information Technologies 2020, 26, 2585 -2606.
AMA StyleMostafa Al-Emran, Vitaliy Mezhuyev, Adzhar Kamaludin. Is M-learning acceptance influenced by knowledge acquisition and knowledge sharing in developing countries? Education and Information Technologies. 2020; 26 (3):2585-2606.
Chicago/Turabian StyleMostafa Al-Emran; Vitaliy Mezhuyev; Adzhar Kamaludin. 2020. "Is M-learning acceptance influenced by knowledge acquisition and knowledge sharing in developing countries?" Education and Information Technologies 26, no. 3: 2585-2606.
A vast amount of research has been devoted to examine the determinants influencing the acceptance of Mobile learning (M-learning). Nevertheless, little is known about studying the effect of knowledge management (KM) factors on M-learning acceptance. Therefore, the core objective of the present study is to develop a conceptual model by extending the technology acceptance model (TAM) with KM factors (acquisition, sharing, application, and protection) to examine the M-learning acceptance. This study employs the Partial Least Squares-Structural Equation Modeling (PLS-SEM) to validate the developed model. Data were gathered from 416 IT undergraduate students registered at Universiti Malaysia Pahang (UMP) in Malaysia. The results triggered out that knowledge acquisition, application, and protection have positive impacts on perceived ease of use and perceived usefulness. However, knowledge sharing was observed to be partially supported with regard to perceived ease of use and perceived usefulness. The implications to theory and practice, limitations, and future work are also discussed.
Mostafa Al-Emran; Vitaliy Mezhuyev; Adzhar Kamaludin. Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technology in Society 2020, 61, 101247 .
AMA StyleMostafa Al-Emran, Vitaliy Mezhuyev, Adzhar Kamaludin. Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance. Technology in Society. 2020; 61 ():101247.
Chicago/Turabian StyleMostafa Al-Emran; Vitaliy Mezhuyev; Adzhar Kamaludin. 2020. "Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance." Technology in Society 61, no. : 101247.