An Analysis of Motivational Factors Affecting Employee Performance

Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach

Abstract

Enterprises have interests in Enterprise Resource Planning (ERP) transitions from an existing on-premise method to a cloud-based system. The aim of doing this is to enhance sustainability in business operations. This study carries out an analysis comprehensively using diffusion of innovation, technology-organization-environment, and innovation resistance framework model. According to the empirical analysis, the results show that the organizational culture factors, relative advantage, triability, regulatory environment, and vendor lock-in all significantly influenced the intention of adopting the ERP, which is cloud-based. Those that do not affect the need to adopt the cloud-based ERP are; data security, observability, information and communication technology skill, and customization. The findings of this particular study give guidance that is meaningful for those companies to adopt the cloud-based ERP, vendors who associate themselves with the sale of cloud-based ERP systems, and the government supporting enterprises’ digitalization.

Table of Contents

Abstract………………………………………………………………………..................1

1. Introduction ……………………............1

2. Theoretical Background………………....2

2.1. Cloud-Based ERP and On-Premise ERP………………………………….……………..…2

2.2 Cloud-Based ERP Adoption……………….3

2.3 technology-Organization-Environment(TOE) Framework……………………………………….……4

2.4 The Diffusion of Innovation (DOI) Theory……………………………………………………4

2.5 The Model of Innovation Resistance…………………………………………………..5

3 Research Model………………………………….5

3.1. Technological Context: Cloud-Based ERP Skill (ICT Skill)…………………………6

3.2. Organizational Context: Organizational Culture………………………………………6

3.3. Environmental Context: Regulatory Environment……………………………………….6.

3.4 Innovation Characteristics……………..7

3.4.1. Innovation Characteristic: Relative Advantage…………………………………….……7

3.4.3. Innovation Characteristic: Trialability...7

3.4.4. Innovation Characteristic: Observability……………………………………………….7

3.5 Resistance Characteristics…………….……….8

3.5.1 Resistance Characteristic: Data Security……………….8

3.5.2. Resistance Characteristic: Vendor Lock-……..8

3.5.3. Resistance Characteristics: Customization………………………………………….8

4. ResearchMethodology……………………………………………………9

4.1.Measurements……………………………………………………………9

4.2. Data Collection……………………………………………………………………….9

5. Analysis and Results…………………………………………………………………..11

5.1. Measurement Model……………………………………………………………………11

5.2. Hypothesis Test……………………………………………………………………….15

6. Discussion and Conclusions…………………………………………………………16

6.1. Discussion of Findings……………………………………………………………...16

6.2. Theoretical Implications…………………………………….…………………..17

6.3. Practical Implications…………………………………………………………………..17

6.4. Limitations and Future Research Directions……………………………………………18

Abbreviations……………………………………………………………………………….19

Appendix A……………………………………………………………………………….20

References………………………………………………………………………………..22

Introduction

The article ‘‘Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach” extensively discusses how cloud-based Enterprise Resource Planning is successful. The main aim is to convince on the benefits of incorporating the systems in organizations. It outlines the factors that promote this process and those that hinder the adoption with the help of the theoretical background. Using a research model, the article can outline the research carried out empirically to examine the innovation, the impact of the Technology Organization Environment, and the resistance characteristics associated with adopting this cloud-based ERP system. To verify the research methodology was used that involved measurements and data collection. The results were then analyzed; from the research, this cloud-based system is gaining popularity with time. Very soon, large enterprises will replace their on-premise ERP with the model of SaaS service. This gives a hint that the market is undergoing a shift in terms of generational technology.

Body

The article gives a detailed explanation of the process involved in adopting the ERP cloud-based system. This shows the strength of this article because of how the details are explained systematically. It begins by giving an overview of what the procedure entails, and this is successful with the help of the theoretical background (Ahn & Ahn, 2020). The framework gives a structure that supports the adoption of this system in this research article. It starts by introducing the theory that explains why we need to study the research about this system’s adoption and validates the existence of the study. The Cloud-Based ERP and On-Premise ERP both show the significance of the transformation in technology. With the development in cloud computing technology, Cloud-Based ERP is slowly replacing the On-Premise ERP. The fact that Cloud-based ERP has many advantages compared to the latter gives a validation of why it is being adopted.

According to the article, the adoption involves the implementation perspectives that articulate the benefits and challenges of adopting this system (AlBar & Hoque, 2019). For example, recently, Adnan Albar carried out a study about the adoption of the cloud-based ERP in Saudi Arabia to better understand logistical factors associated with adoption in medium and small enterprises in the developing economies. The article continues to examine the adoption using the technology-organization-environment framework. This identifies the competitive pressure, technological readiness, and other factors that significantly influence the adoption of this system.

The article then gives the innovative theories that affect IT, which determines the rate of adoption. These innovative features have a relative advantage in the adoption rate. The model of Innovation Resistance then explains that for an adoption to occur, the system has to overcome some initial resistance (Zadeh. et al., 2018). With high innovative resistance, then there are adverse effects in adoption. The research to support the adoption of Cloud-Based ERP is then well described using the research model, and the data is analyzed to give the best results. The article is well articulated, so it is applicable and should be used for related studies.

This article’s procedures and data analysis strategies give a well-illustrated image of how the research model covers this adoption’s technological, organizational, and environmental contexts. Data security and observation characteristic are also included in the model (Moh’d Anwer, 2019). Hypothesis concerning the findings of those contexts is then developed. The research methodology is used to verify the research model wherein the measured items concerning innovative characteristics were picked from previous studies to fit the research. Surveys helped in data collection where companies participated in the surveys. The survey questionnaires were distributed through phones and emails, and the defining features of the respondent enterprises were tabulated.

The data was then analyzed to validity using exploratory factor analysis (EFA) under the measurement models. Reliability analysis is regarded as reliable if Cronbach’s alpha value is above 0.6. Descriptive statistics of measurement instruments were tabulated to show the validity and reliability of the research (Moh’d Anwer, 2019). Hypothesis tests were then carried out using multiple regression analysis for verification—the results of this help identify the relationship between cloud-based ERP skill and cloud-based ERP adoption intention.

Conclusion

In conclusion, the article is very substantial, and I highly recommend it to professionals to use it as a reference in related studies. It gives the interpretation of the procedures used and the strategies in the analysis of data. According to my assessment, it has comprehensively tackled the topic of cloud-based ERP system adoption.

References

Ahn, B., & Ahn, H. (2020). Factors affecting intention to adopt cloud-based ERP from a comprehensive approach. Sustainability, 12(16), 6426. https://www.mdpi.com/793698

AlBar, A. M., & Hoque, M. R. (2019). Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study. Information Development, 35(1), 150-164. https://journals.sagepub.com/doi/abs/10.1177/0266666917735677

Moh’d Anwer, A. S. (2019). Towards a better understanding of determinants logistical factors in SMEs for cloud ERP adoption in developing economies. Business Process Management Journal. https://www.emerald.com/insight/content/doi/10.1108/BPMJ-01-2018-0004/full/html

Zadeh, A. H., Akinyemi, B. A., Jeyaraj, A., & Zolbanin, H. M. (2018). Cloud ERP systems for small-and-medium enterprises: A case study in the food industry. Journal of Cases on Information Technology (JCIT), 20(4), 53-70. https://www.igi-global.com/article/cloud-erp-systems-for-small-and-medium-enterprises/212624

An Analysis of Motivational Factors Affecting Employee Performance

Abstract

The Business journal pays attention to the motivating factors of employees in their places of work. According to the research presented in the journal, motivating factors like training and monetary rewards can help upsurge the workers’ performances. The kind of research adopted is the descriptive research design that has helped investigate and support this study. The population used to carry out the research included one hundred and thirty employees and thirty employers, all found in Nepal. The collection of data was through structured questionnaires. The data collected were tabulated and the analysis involved the use of statistical tools like mean analysis and regression analysis. The result findings helped reveal the significant relationship between recognition programs, training on the performance of employees, and goal setting. The research also shows that employees value their personal growth; therefore, organizations should improve their performance through development programs. The study from this research aims at offering inputs in assessing and implementing motivating factors in intuitions.

Table of Contents

Abstract ………………………………………..63

1. Introduction and study objectives……………..63

2. Literature Review………………………………..64

3. Research Methods ………………………………67

Nature and Collection of Data………………………67

4. Discussion…………………………………………68

Response Rate ………………………………………68

Maximum, Minimum and Mean Values……………..69

Correlational Analysis…………………………………70

Regression Analysis…………………………………..70

Hypothesis Testing……………………………………71

5. Conclusions and Implications ……………………..71

References ………………………………………………72

Acknowledgments…………………………………..74

Conflict of Interest……………………………………….74

Introduction

The primary concern of any organization is ensuring that they utilize human resources and motivate the employees. Each management has a role of making all the employees be satisfied with their work by rewarding them and being consistent in these motivation strategies. According to most objectives in organizations, they consider their workers as the essential asset, and they can perform various tasks within the organization. With improved performance from employees, organizations have high expectations its employees because they are expected to have business plans, strategies, and innovative ideas. New opportunities allow organizations to opt-in through the employees’ skills, abilities, and knowledge. Therefore, for the employees to perform to their full capabilities, the motivation factors have to apply.

Body

The journal uses the literature review to evaluate the analysis of the motivational factors that affect the employees. This is an excellent way that the author has incorporated in his research because it works as a survey and provides a summary and a critical evaluation (Boxall & Purcell 2011). The author in this review introduces a motivating factor: Human Resource Management, which is typically a new approach. This approach attempts to obtain a competitive advantage through the skilled and committed workforce. The journal has references from outside sources that support this concept, which is an excellent way to make the journal of good quality.

The journal aims to give a view on today’s business world by providing comparisons. By this, there is the creation of a competitive environment, and organizations can therefore mobilize their employees, which is a way of unleashing their hidden potentials. Hence, this will help maximize organization profits which is the main aim (Khan. et al., 2017). Human Resource Management also plays a role in making the managers understand their employees and their driving factors depending on their cultures, competencies, and personal goals. Consequently, the author advocates for the use of motivating factors of the present day because those of the old days cannot have a significant impact. This means that the study acknowledges both recent and past researches.

In addition, the research is extremely crucial because it has recognized both the intrinsic and extrinsic motivation factors. The study has embraced the practical motivating factors that an organization can practice to maximize its output (Nurun & Dip 2017). Using the framework of hypotheses linkages derived from different motivation literature will help understand the dependent and independent variables. However, one of the weaknesses in this article is that the opinions provided do not come from any outside sources like institutions. Instead, they are all the author’s opinions; the article may be biased by presenting his ideas according to his needs and interests.

Interpretation of the procedures and the data analysis used in the journal is an excellent way of evaluating this research article. The research method used is nature and data collection; according to nature, the research was quantitative (Makki & Abid 2017). This involved a descriptive to identify statistical tools and the motivating factors to validate with the help of hypothesis testing. Convenient sampling was used to collect data, and both primary and secondary data were the basis of this particular research. Preliminary data were obtained through non-disguised questionnaires that were structured, while the secondary data were from journals and articles. The study used descriptive statistics to understand the profile of the respondents in terms of demography. The mean score, in this case, was used to find the distribution of the figure’s average value.