Factors influencing accountants' behavioural intentions to use and actual usage of enterprise resource planning systems in a global development agency

2013 ◽  
Vol 11 (2) ◽  
pp. 179-200 ◽  
Author(s):  
Philmore Alleyne ◽  
Marcia Lavine
Author(s):  
Hedman Jonas ◽  
Johansson Björn

Since deployment of Enterprise Systems (ES) such as Enterprise Resource Planning systems (ERPs) within enterprises, both Large Enterprises (LEs) as well as Small and Medium-sized Enterprises (SMEs) have increased and continue to increase, making it increasingly desirable to measure the degree of utilization of ERP systems in enterprises. One reason for this interest is that no benefits are realized if the systems are not used; since ERPs are massive investments, they need to show benefits, or at least be able to measure the benefits. However, to be able to do so, there is a need to explain ERP systems utilization and the factors that influence ERP utilization. This chapter provides an explanation of factors influencing ERP systems utilization by testing a research model building on four dimensions: volume, breadth, diversity, and depth. The contributions of the research are: First, it provides support for the notion of diffusion found in the theory of network externalities where a critical mass is necessary to achieve benefits. This can be used to better understand failures in ERP projects. Second, the use of volume, breadth and depth provide insights for use as a construct and the need to treat it more rigorously. Third, the study contributes to our understanding of the many aspects of use of IT, such as ERPs, and potentially contributes to value and firm performance from ERP utilization.


2013 ◽  
pp. 1677-1689
Author(s):  
Hedman Jonas ◽  
Johansson Björn

Since deployment of Enterprise Systems (ES) such as Enterprise Resource Planning systems (ERPs) within enterprises, both Large Enterprises (LEs) as well as Small and Medium-sized Enterprises (SMEs) have increased and continue to increase, making it increasingly desirable to measure the degree of utilization of ERP systems in enterprises. One reason for this interest is that no benefits are realized if the systems are not used; since ERPs are massive investments, they need to show benefits, or at least be able to measure the benefits. However, to be able to do so, there is a need to explain ERP systems utilization and the factors that influence ERP utilization. This chapter provides an explanation of factors influencing ERP systems utilization by testing a research model building on four dimensions: volume, breadth, diversity, and depth. The contributions of the research are: First, it provides support for the notion of diffusion found in the theory of network externalities where a critical mass is necessary to achieve benefits. This can be used to better understand failures in ERP projects. Second, the use of volume, breadth and depth provide insights for use as a construct and the need to treat it more rigorously. Third, the study contributes to our understanding of the many aspects of use of IT, such as ERPs, and potentially contributes to value and firm performance from ERP utilization.


Author(s):  
Hedman Jonas ◽  
Johansson Björn

Since deployment of Enterprise Systems (ES) such as Enterprise Resource Planning systems (ERPs) within enterprises, both Large Enterprises (LEs) as well as Small and Medium-sized Enterprises (SMEs) have increased and continue to increase, making it increasingly desirable to measure the degree of utilization of ERP systems in enterprises. One reason for this interest is that no benefits are realized if the systems are not used; since ERPs are massive investments, they need to show benefits, or at least be able to measure the benefits. However, to be able to do so, there is a need to explain ERP systems utilization and the factors that influence ERP utilization. This chapter provides an explanation of factors influencing ERP systems utilization by testing a research model building on four dimensions: volume, breadth, diversity, and depth. The contributions of the research are: First, it provides support for the notion of diffusion found in the theory of network externalities where a critical mass is necessary to achieve benefits. This can be used to better understand failures in ERP projects. Second, the use of volume, breadth and depth provide insights for use as a construct and the need to treat it more rigorously. Third, the study contributes to our understanding of the many aspects of use of IT, such as ERPs, and potentially contributes to value and firm performance from ERP utilization.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojun Yao ◽  
Masoumeh Azma

PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.


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