A hesitant fuzzy linguistic terms set-based AHP-TOPSIS approach to evaluate ERP software packages

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zeki Ayağ ◽  
Funda Samanlioglu
Keyword(s):  
Enterprise Resource Planning ◽  
Software Package ◽  
Multiple Criteria Decision Making ◽  
Resource Planning ◽  
Integrated Approach ◽  
Decision Makers ◽  
Content Type ◽  
Criteria Weights ◽  
Fuzzy Logic Approach ◽  
Erp Software

PurposeIn this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP) and hesitant fuzzy the technique for order preference by similarity to ideal solution (HF-TOPSIS) are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning (ERP) alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company.Design/methodology/approachSelecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues (i.e. time loss, increased costs and a loss of market share). On the other hand, finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria.FindingsIn this integrated approach, the hesitant F-AHP is used to determine the criteria weights, as the hesitant F-TOPSIS is utilized to rank ERP package alternatives. The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners.Research limitations/implicationsIf the number of the alternatives and criteria are dramatically increased beyond reasonable numbers, the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations. Therefore, the number of criteria and alternatives should be at reasonable numbers.Practical implicationsThe proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners.Originality/valueFurthermore, in literature, to the best of our knowledge, the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem.

scholarly journals Institutional change of cloud ERP implementation in the public sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nizar Mohammad Alsharari
Keyword(s):  
Public Sector ◽  
Case Studies ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Transformation Process ◽  
Decision Makers ◽  
Erp Implementation ◽  
Content Type ◽  
Erp System ◽  
The Public

Purpose This study aims to explain the transformation process from using regular enterprise resource planning (ERP) system into implementing Cloud ERP system in the UAE public sector. Design/methodology/approach The study uses a qualitative case study and analyzes the primary evidences from in-depth interviews with the case organization’s personnel. It conducts a thematic analysis of the interviews’ findings. Furthermore, the study uses secondary and tertiary resources from published sources comprising the case organization’s website and previous studies. Findings The findings demonstrated that the transformation process to Cloud ERP could result in different practical benefits in an organization’s controlling system, cost reduction and profitability. Conversely, results revealed that the effectiveness of implementing cloud ERP is dependable on the provider’s professionalism; hence resulting in issues related to minimized organizational independence. In addition, the paper’s findings provide evidenced clarifications about the controversial misconceptions of Cloud ERP’s privacy issues. Research limitations/implications The paper is exposed to the regular case studies limitations, as the study is a qualitative research studying one case company. Thus, the study findings should be strengthened by future quantitative researches on more companies with implying more statistical analysis. Practical implications The paper has important implications for practitioners and decision-makers, as it presents significant and reality-based information about Cloud ERP implementation’s benefits and drawbacks. It thus enhances decision-makers’ ability to make an appropriate and suitable decision about adopting the Cloud ERP in the public sector. Originality/value As Cloud ERP is still emerging, this study is one of the very few case studies that discuss and present some experienced benefits and issues related to Cloud ERP implementation in UAE Government. This study also uses transformation theory to analyze the data.

Implementation of cloud ERP in the SME: evidence from UAE

2020 ◽  
Vol 27 (2) ◽  
pp. 299-327
Author(s):  
Nizar Mohammad Alsharari ◽  
Mohammad Al-Shboul ◽  
Salem Alteneiji
Keyword(s):  
Case Studies ◽  
Enterprise Resource Planning ◽  
Small And Medium Enterprises ◽  
Real Life ◽  
Resource Planning ◽  
Decision Makers ◽  
Erp Implementation ◽  
Content Type ◽  
Erp System ◽  
Technological Management

PurposeThis 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/approachThe 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.FindingsThe 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/implicationsThis 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/valueThis 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.

Improvements in Web Based ERP Software Architecture as Implemented on the Cloud

2017 ◽  
Vol 7 (11) ◽  
pp. 22
Author(s):  
Shruti Makarand Kanade
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Cloud Computing ◽  
Software Architecture ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Web Based ◽  
Manufacturing Company ◽  
Erp Software

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojun Yao ◽  
Masoumeh Azma
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Equation Modeling ◽  
Planning Systems ◽  
Privacy And Security ◽  
Content Type ◽  
Enterprise Resource Planning Systems ◽  
The Impact

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.

A Hybrid MCDM Approach for Solving the ERP System Selection Problem with Application to Steel Industry

2012 ◽  
Vol 8 (3) ◽  
pp. 54-73 ◽  
Author(s):  
Ahmad Jafarnejad ◽  
Manoucher Ansari ◽  
Hossein Rahmany Youshanlouei ◽  
Mohammad Mood
Keyword(s):  
Enterprise Resource Planning ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Resource Planning ◽  
Erp System ◽  
Or Organization ◽  
Entropy Technique ◽  
System Selection ◽  
Selection Of

Selecting a proper system of Enterprise Resource Planning (ERP) is a major challenge for enterprise managers. Heavy expenses of incorrect decisions in selection of ERP systems have made academics and managers consider this phase as highly important. Several research studies proposed different approaches to selecting the ERP and many case studies of organizational experiences have been published. However, there has been less regard for simultaneous use of the findings of academic studies and judgments of industrial experts or organization mangers for making the most appropriate choice. This study proposes a combined multiple-criteria decision-making (MCDM) approach through which both previous studies and judgments of industrial experts or organization managers would be integrated in order to select the proper ERP system. Having studied the literature comprehensively and conducted interviews with experts and managers, this approach will determine the most important criteria in ERP selection using Shannon entropy technique. Then, based on the judgments obtained from experts and using DEMATEL technique, these criteria will be classified into the two groups of “Cause” and “Effect” and the most appropriate choice will be selected using Fuzzy AHP technique. Finally, a case study is conducted to demonstrate and prove the applicability of the proposed approach.

Managing top management support in complex information systems projects

2017 ◽  
Vol 19 (1/2) ◽  
pp. 151-164 ◽  
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Information Systems ◽  
Organizational Communication ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
End Users ◽  
Top Management ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
And Training

Purpose Top management support (TMS) is considered as a critical factor for the success of information systems (ISs) projects. The literature shows that TMS has a positive impact on achieving success in ISs’ projects in different aspects. However, the enabling factors for TMS in complex ISs’ projects have barely been tested, something which this study aims to rectify. Design/methodology/approach This study has designed a research model based on structural equation modelling (SEM) with the intention of analysing the perception of IS end users regarding the effect on TMS of the following factors: technological complexity and training and organizational communication. The application of the study has focused on an enterprise resource planning–open source software (ERP-OSS) environment. Findings The findings show how end users have a perception that organizational communication and training have a positive relation with TMS. Based on these findings, the authors have suggested several practical considerations. Research limitations/implications There are two limitations to this study. First, this study is based on the perception of complex IS/IT users. It would be interesting to add the perception of top managers to provide more solid findings. The second limitation is that this study has not suggested any additional potential factors which could affect TMS. Practical implications First, this article provides a study of the key role of TMS when an organization needs to implement a complex IS/IT. Second, organizations must develop mechanisms for increasing training and communication relating to the new complex IS/IT projects. Finally, the complexity of an IS/IT project does not constitute an enabling factor incentivizing TMS and should therefore not be a determining factor in increasing TMS within an organization selecting an IS/IT. Originality/value This study contributes to advancing theory in the field of TMS in information systems projects.

A fuzzy fault tree analysis based risk assessment approach for enterprise resource planning projects

2018 ◽  
Vol 35 (5) ◽  
pp. 1115-1141 ◽  
Author(s):  
Mina Moeinedini ◽  
Sadigh Raissi ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Risk Factors ◽  
Enterprise Resource Planning ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Resource Planning ◽  
Successful Implementation ◽  
Tree Analysis ◽  
Content Type ◽  
Cause And Effect ◽  
Fuzzy Fault Tree Analysis

Purpose Enterprise resource planning (ERP) is assumed as a commonly used solution in order to provide an integrated view of core business processes, including product planning, manufacturing cost, delivery, marketing, sales, inventory management, shipping and payment. Selection and implementation of a suitable ERP solution are not assumed a trivial project because of the challenging nature of it, high costs, long-duration of installation and customization, as well as lack of successful benchmarking experiences. During the ERP projects, several risk factors threat the successful implementation of the project. These risk factors usually refer to different phases of the ERP projects including purchasing, pilot implementation, teaching, install, synchronizing, and movement from old systems toward new ones, initiation and utilization. These risk factors have dominant effects on each other. The purpose of this paper is to explore the hybrid reliability-based method is proposed to assess the risk factors of ERP solutions. Design/methodology/approach In this regard, the most important risk factors of ERP solutions are first determined. Then, the interactive relations of these factors are recognized using a graph based method, called interpretive structural modeling. The resultant network of relations between these factors initiates a new viewpoint toward the cause and effect relations among risk factors. Afterwards, a fuzzy fault tree analysis is proposed to calculate Failure Fuzzy Possibility (FFP) for the basic events of the fault tree leading to a quantitative evaluation of risk factors. Findings The whole proposed method is applied in a well-known Iranian foodservice distributor as a case study. The most impressive risk factors are identified, classified and prioritized. Moreover, the cause and effect diagram between the risk factors are identified. So, the ERP leader can plan a low-risk project and increase the chance of success. Originality/value According to the authors’ best knowledge, such approach was not reported before in the literature of ERP risk assessments.

How is process mining technology used by organizations? A systematic literature review of empirical studies

2018 ◽  
Vol 24 (4) ◽  
pp. 900-922 ◽  
Author(s):  
Malte Thiede ◽  
Daniel Fuerstenau ◽  
Ana Paula Bezerra Barquet
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Enterprise Resource Planning ◽  
Process Mining ◽  
Empirical Studies ◽  
Resource Planning ◽  
Classification Model ◽  
Organizational Process ◽  
Content Type ◽  
Cross System

Purpose The purpose of this paper is to review empirical studies on process mining in order to understand its use by organizations. The paper further aims to outline future research opportunities. Design/methodology/approach The authors propose a classification model that combines core conceptual elements of process mining with prior models from technology classification from the enterprise resource planning and business intelligence field. The model incorporates an organizational usage, a system-orientation and service nature, adding a focus on physical services. The application is based on a systematic literature review of 144 research papers. Findings The results show that, thus far, the literature has been chiefly concerned with realization of single business process management systems in single organizations. The authors conclude that cross-system or cross-organizational process mining is underrepresented in the ISR, as is the analysis of physical services. Practical implications Process mining researchers have paid little attention to utilizing complex use cases and mining mixed physical-digital services. Practitioners should work closely with academics to overcome these knowledge gaps. Only then will process mining be on the cusp of becoming a technology that allows new insights into customer processes by supplying business operations with valuable and detailed information. Originality/value Despite the scientific interest in process mining, particularly scant attention has been given by researchers to investigating its use in relatively complex scenarios, e.g., cross-system and cross-organizational process mining. Furthermore, coverage on the use of process mining from a service perspective is limited, which fails to reflect the marketing and business context of most contemporary organizations, wherein the importance of such scenarios is widely acknowledged. The small number of studies encountered may be due to a lack of knowledge about the potential of such scenarios as well as successful examples, a situation the authors seek to remedy with this study.

Integration of TQM and ERP to enhance organizational performance and excellence: empirical evidence from public sector using SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hassan Al-Dhaafri ◽  
Mohammed Alosani
Keyword(s):  
Organizational Performance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Joint Effect ◽  
Total Quality ◽  
Content Type ◽  
Organizational Excellence ◽  
Practical Implications

PurposeThe study aims to examine the joint effect of total quality management (TQM), enterprise resource planning (ERP) and organizational performance on organizational excellence.Design/methodology/approachTo achieve the goal of this study through the hypothesized model, a survey questionnaire research design was employed. The data were collected from a Dubai Police organization. Out of 550 questionnaires, 320 questionnaires were returned. The structural equation modelling (SEM) partial least squares approach was used to analyze the data for measurement and structural models.FindingsThe statistical results confirmed the positive and significant effects of TQM, ERP and organizational performance on organizational excellence. The mediation role of organizational performance between TQM, ERP and organizational excellence also was confirmed.Practical implicationsThroughout this study, further details and valuable implications have been discussed. Findings provide several practical implications. Findings also help practitioners and managers make proper decisions when implementing TQM, ERP and excellence practices in their organizations. With the joint effect of TQM, ERP and organizational performance, organizations can achieve maximum strong excellence and remain in a competitive market. This current study presents potential to be used in didactical initiatives.Originality/valueThis study is a unique empirical research that examines the joint effect of TQM, ERP and performance on excellence relationships. In other words, the current study is one of the few studies that investigate the mediating role of organizational performance beside the organizational excellence as the ultimate variable in developing country, specifically in UAE.

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