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Article
Publication date: 26 November 2021

Xiaojun Yao and Masoumeh Azma

This study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability…

Abstract

Purpose

This 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/approach

Over 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.

Findings

Based 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/implications

This 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 implications

The results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.

Originality/value

In 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.

Article
Publication date: 12 October 2018

Moh’d Anwer AL-Shboul

The purpose of this paper is to investigate the main determinants logistical factors that have an impact on the adoption of cloud enterprise resource planning (ERP) among small…

3488

Abstract

Purpose

The purpose of this paper is to investigate the main determinants logistical factors that have an impact on the adoption of cloud enterprise resource planning (ERP) among small- and medium-sized enterprises (SMEs) in developing economies. By adopting the diffusion of innovation, technological, organizational and environmental model as a theoretical framework, the 14 factors examined in this study are as follows: relative advantage (RA), compatibility, complexity, value creation, technology readiness (TR), security concerns, technical barriers, top management support (TMS), enterprise readiness (ER), enterprise size (ES), enterprise status, competitive advantage, government support and infrastructure/telecommunication.

Design/methodology/approach

Data were collected from 131 respondents’ senior executives and IT managers in SMEs in developing economies (Jordan, Lebanon, King Saudi Arabia, Bahrain, Qatar, Emirates, Egypt, Oman, Kuwait and Turkey). A web-based survey questionnaire was used for data collection process. The research framework and the derived hypotheses were tested by logistic regression analysis.

Findings

The findings indicate that compatibility, TR, technical barriers, TMS, ER, ES and competitive pressure have a significant effect on the adoption of cloud ERP. This conclusion can be utilized in enhancing the strategies for approaching ERP cloud by pinpointing the reasons why some SMEs choose to adopt this technology, while others still do not go forward with this.

Originality/value

This study provides an overview and empirically shows the main determinants logistical factors that might face SMEs in the developing economies. The findings also help SMEs consider their information technologies investments when they think to adopt cloud ERP.

Details

Business Process Management Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 11 December 2019

Faisal Mahmood, Abdul Zahid Khan and Rahat Hussain Bokhari

Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable…

5500

Abstract

Purpose

Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable. Though ERPs success stories are published in past research studies, the failure rate of ERP systems is relatively high. The purpose of this study was to find issues and challenges and assess the degree of criticality of these issues/challenges faced by organizations during ERP implementation.

Design/methodology/approach

For doing systematic review/research synthesis systematic literature review (SLR) was carried out considering research studies published within the time period, i.e. 1999-2018. Three major steps such as planning, conducting and reporting were followed to proceed further in this study. This study attempted to accomplish a critical review of 53 studies out of 103 studies identified, which were published in reputable journals to synthesize the existing literature in the ERP domain. The studies selected have almost addressed different challenges/issues faced by small and large organizations during ERP implementation.

Findings

Research synthesis/SLR led to the identification of 31 issues/challenges, which may be termed as most critical based on their occurrence/frequency in past studies included. The topmost ten issues/challenges amongst 31 identified include top management approach, change management, training and development, effective communication, system integration, business process reengineering, consultants/vendors selection, project management, project team formation, team empowerment/skilled people and data conversing/migration. However, other issues/challenges identified such as security risks/data security, cloud awareness, functionality limitations, service level agreements and subscription expenses are more related to cloud ERPs.

Originality/value

The current study is unique in its kind, focusing on the issues and challenges faced by organization during implementing ERP projects. Moreover, this study contributes to understanding and further analyzing management capabilities for developing remedial measures while planning the implementation of an enterprise system in their organizations prior to the occurrence of different issues and challenges ahead. The study also led to understanding and explaining socio-technical issues and their severity.

Details

Kybernetes, vol. 49 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 20 March 2020

Nizar Mohammad Alsharari, Mohammad Al-Shboul and Salem Alteneiji

This study aims to explain the implementation of Cloud enterprise resource planning (ERP) system and underlying factors and challenges that might be practiced by the users. It…

4658

Abstract

Purpose

This study aims to explain the implementation of Cloud enterprise resource planning (ERP) system and underlying factors and challenges that might be practiced by the users. It also provides a comparison between traditional and Cloud ERP systems.

Design/methodology/approach

The study uses qualitative case study and analyzes the primary evidences from in-depth interviews. It conducts a thematic analysis of the interviews' findings. Furthermore, the current study uses three groups of factors (technological, management and environmental) that are expected to be best determinants of the Cloud ERP implementation.

Findings

The findings provide an evidence that using the Cloud EPR system, as alternative to on premise traditional ERP system, is constructive to the success of organizations and improve the quality of their decision-making process. The findings also reveal that effectiveness of implementing Cloud ERP is reliable on the provider's professionalism; hence resulting in issues related to minimize organizational independence.

Research limitations/implications

This paper is subjected to case studies limitations, as it lacks rigor and generalization. The paper has important implications for practitioners and decision-makers alike as it presents real-life example about Cloud ERP implementation. It thus enhances decision-makers' ability to make a relevant reporting process in the small and medium enterprises (SMEs).

Originality/value

This study can be considered as a one of very few case studies that discusses Cloud ERP implementation in UAE organizations particularly SMEs. It also provides three groups of factors (technological, management and environmental) that are influenced by the Cloud ERP implementation.

Details

Journal of Small Business and Enterprise Development, vol. 27 no. 2
Type: Research Article
ISSN: 1462-6004

Keywords

Article
Publication date: 6 November 2018

Shivam Gupta, Xiaoyan Qian, Bharat Bhushan and Zongwei Luo

Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT…

3838

Abstract

Purpose

Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm.

Design/methodology/approach

A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling.

Findings

SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data.

Research limitations/implications

The study showcases cross-sectional data from India. It would be interesting for this study to see if the country-level differences would influence these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA.

Originality/value

This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.

Details

Management Decision, vol. 57 no. 8
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 11 October 2019

Yu-Wei Chang, Ping-Yu Hsu, Shih-Hsiang Huang and Jiahe Chen

The purpose of this paper is to investigate switching intention from traditional enterprise information systems (EISs) to private cloud EIS in large enterprises. The authors…

Abstract

Purpose

The purpose of this paper is to investigate switching intention from traditional enterprise information systems (EISs) to private cloud EIS in large enterprises. The authors propose that the factors motivate and inhibit enterprises’ switching intention to private EIS by integrating technology–organization–environment (TOE) framework and two-factor theory.

Design/methodology/approach

A research model draws from TOE framework and two-factor theory. Data were collected from 227 top managers and owners of the enterprises in China and used to analyze 11 hypotheses.

Findings

The results show that the technological context (compatibility), organizational context (financial support) and environmental context (vendor support and industry pressure) significantly influence switching benefits while data security and costs significantly influence switching costs. Switching benefits and switching costs significantly influence switching intention.

Originality/value

Past studies have focused mainly on the adoption of cloud computing. However, few studies have addressed the switching issues, especially in large enterprises. The findings are useful to understand switching issues from traditional EIS to private cloud EIS for both researchers and practitioners.

Article
Publication date: 2 April 2020

Yu-Wei Chang

Switching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of…

3069

Abstract

Purpose

Switching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level.

Design/methodology/approach

Data were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling.

Findings

Technological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention.

Research limitations/implications

This study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affecting benefits are organized based on TOE framework. Sunk costs of incumbent ERP systems are developed based on ECT.

Originality/value

Different from previous studies on cloud computing adoption, this study provides insights into switching intention to cloud computing. The study also proposes an integrated model grounded in multiple perspectives to explain organizations' decisions to switch to cloud ERP systems. These findings help cloud service providers better understand how to promote cloud ERP adoption from technical, organizational, and environmental perspectives.

Details

Journal of Enterprise Information Management, vol. 33 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 29 November 2018

Meghana H.L., Asish Oommen Mathew and Lewlyn L.R. Rodrigues

In today’s competitive world, the adoption of cloud enterprise resource planning (ERP) has become one of the critical criteria for running a successful business. In this regard…

1177

Abstract

Purpose

In today’s competitive world, the adoption of cloud enterprise resource planning (ERP) has become one of the critical criteria for running a successful business. In this regard, knowing the factors that influence cloud ERP adoption plays a significant role. The purpose of this paper is to rank the factors influencing the cloud ERP adoption in multi-national companies (MNCs) in India. This research would enable the cloud ERP vendors to identify the expectations of MNC customers and develop suitable strategies.

Design/methodology/approach

The research is being conducted among the cloud ERP consultants of designation middle managers and above from 29 different ERP consulting firms located in India. Analytical hierarchical processing approach was used to rank the factors influencing the cloud ERP adoption in MNCs located in India. The primary factors considered for this study are usability, assurance, agility, security and privacy, and vendor-related factors.

Findings

The three most preferred criteria were usability, assurance and agility. The five most preferred sub-criteria were data accessibility, availability, user friendliness, scalability, and data backup and recovery.

Research limitations/implications

The study is limited to the perspective of cloud ERP consultants in India.

Practical implications

The outcome of this research provides cloud ERP vendors with a better understanding of factors that influence the adoption of cloud ERP in MNCs so that they can develop a focused strategy. From the MNCs point of view, the study provides a guideline on what factors they should consider while going for a cloud ERP implementation.

Originality/value

The research model is developed based on the cloud ERP literature, and the research results and findings would add value to the body of knowledge.

Details

International Journal of Emerging Markets, vol. 13 no. 6
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 12 February 2018

Shivam Gupta, Subhas C. Misra, Ned Kock and David Roubaud

Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it…

4116

Abstract

Purpose

Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it is required for on-premise ERP solution. The purpose of this paper is to analyze the organizational and technological factors as well as the factors that concern the performance of cloud service provider. These concerns are known as extrinsic factors and they are compliance, network, and information security. This study links the organizational and technological factors of SMEs and the extrinsic factors of cloud vendor for the successful implementation of cloud ERP.

Design/methodology/approach

Resource dependence theory (RDT) was used to understand the relationship of SMEs and cloud service provider. Structural equation modeling was employed in analyzing the data of 208 SMEs that were collected through a survey.

Findings

The empirical analysis supports the RDT as the critical success factors of the SMEs have a positive relationship with the extrinsic factors (compliance, network, and information security) during the cloud ERP implementation.

Research limitations/implications

The data collected in this study is from India and this acts as a limitation as the result might not hold true for other countries and regions. Also, the data collected are cross-sectional and only represent the perspective of the respondents at the time of filling the questionnaire.

Originality/value

This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.

Details

Journal of Organizational Change Management, vol. 31 no. 1
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 10 August 2018

Yung-Ming Cheng

The purpose of this paper is to explore the key antecedents of organizational users’ continuance intention of cloud enterprise resource planning (ERP) by the integration of…

1600

Abstract

Purpose

The purpose of this paper is to explore the key antecedents of organizational users’ continuance intention of cloud enterprise resource planning (ERP) by the integration of constructs from the expectation–confirmation model (ECM), technology acceptance model (TAM), theory of planned behavior (TPB), task-technology fit and TAM2.

Design/methodology/approach

Sample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 560 questionnaires were distributed in the 56 sample companies, and 395 (70.5 percent) usable questionnaires were analyzed using structural equation modeling in this study.

Findings

Findings show that while compatibility and output quality are key antecedents of confirmation of expectations toward cloud ERP, compatibility still reveals overwhelming and more indirect impacts on users’ continuance intention of cloud ERP than output quality because output quality has significant but evidently lesser effects on perceived usefulness and perceived ease of use than compatibility.

Originality/value

First, this study contributes to the identification of compatibility and output quality that may reveal deep insights to the task-related factors in understanding users’ cloud ERP continuance greatly driven by their confirmation of expectations toward cloud ERP. Next, the empirical evidence on capturing the ECM, TAM and TPB for completely explaining the antecedents of users’ continued cloud ERP usage intention is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.

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