An approach to identify issues affecting ERP implementation in Indian SMEs

Purpose: The purpose of this paper is to present the findings of a study which is based on the results of a comprehensive compilation of literature and subsequent analysis of ERP implementation success issues in context to Indian Small and Medium scale Enterprises (SME’s). This paper attempts to explore the existing literature and highlight those issues on ERP implementation and further to this the researchers applied TOPSIS (Technique for order preference by similarity to ideal solution) method to prioritize issues affecting successful implementation of ERP. Design/methodology/approach: Based on the literature review certain issues leading to successful ERP implementation have been identified and to identify key issues Pareto Analysis (80-20 Rule) have been applied. Further to extraction of key issues a survey based on TOPSIS was carried out in Indian small and medium scale enterprises. Findings: Based on review of literature 25 issues have been identified and further Pareto analysis has been done to extract key issues which is further prioritized by applying Topsis method. Research limitations/implications: Beside those identified issues there may be other issues that need to be explored. There is scope to enhance this study by taking into consideration different type of industries and by extending number of respondents. Practical implications: By identifying key issues for SMEs, managers can better prioritize issues to make implementation process smooth without disruption. ERP vendors can take inputs from this study to change their implementation approach while targeting small scale enterprises. Originality/value: There is no published literature available which followed a similar approach in identification of the critical issues affecting ERP in small and mid-sized companies in India or in any developing economyPeer Reviewe

The Proposed Research Model for Successful ERP Implementation in Indian Manufacturing Sector

The purpose of this paper is to identify critical success factors, risk factors, product selection factor, project management success factors, user satisfaction, tangible benefit and intangible benefits from the literature and propose a conceptual framework for successful ERP implementation in Indian manufacturing sector. The proposed model will give implementers the better understanding of ERP implementation in manufacturing sector. The benefit of this research will be to identify the areas responsible for successful implementation and show the outcome of the implementation in terms of project management success metrics like scope, functionality, budget and schedule. This will result in avoiding implementation mistakes thereby increasing the success rate

Offshoring ERP Implementations: Critical Success Factors in Swiss Perspective

Enterprise Resource Planning (ERP) applications are changing the way businesses are run. IT Offshoring is changing the way IT Organizations are run. However, both ERP implementations and IT offshoring are fraught with risks. When both ERP implementation and IT offshoring happen together, the risks get even more pronounced. The paper presents the critical susses factors of offshoring ERP implementation which are common in ERP as well as in offshoring case. The study is carried out with the sample interviews conducted in Switzerland. The findings revels that eight factor are critical while considering offshoring ERP implementation, namely customer interaction skills, business process skills, ERP package skills, scalability, language, project management, choice of work to be offshored, personnel split between onsite/offshore are. We used semi-structured open ended interviews with interpretive analysis for identifying the factors

The Case of Mongolia

학위논문(석사) -- 서울대학교대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2021.8. Jorn Altmann.Small and medium enterprises (SMEs) are considered key players in any country's social and economic development. Adopting innovative technologies such as Big Data Analytics (BDA) can bring better performance and competitive advantage for SMEs, which is important for a country's economic growth. This study aims to assess the main challenges and potentials of BDA adoptions in SMEs and examine the impacts of its adoption into business performance for SMEs in developing countries aspect. To achieve the study's goal, a systematic literature review (SLR) is conducted regarding the adoption of BDA in SMEs. The most common SLR method among the researchers in information system research, which was initiated by Kitchencham et al. (Kitchenham, Budgen, & Brereton, 2015) and Okoli et al.(Okoli & Schabram, 2010), is adapted in the study. In doing so, the SLR is focused on defining SMEs within various aspects and is directed to determine the most common influencing factors in BDA adoption in SMEs. In the result of the SLR, widely discussed 34 distinct influencing factors are identified in the adoption of BDA in SMEs from the previous literature. In addition, the hypotheses are developed based on the influencing factors, which show consensus among the researchers. After that, a conceptual framework is developed for developing the country aspect and control variables, and the moderating variables’ effect is also estimated. To evaluate hypotheses and the conceptual framework, an online questionnaire is conducted among Mongolia SMEs which run businesses in various industries. The online questionnaire is distributed to decision-makers and information technology specialists in the firm. In total, 170 respondents participated in the online survey. Based on the survey result, hypotheses are tested. As a consequence, the collected data and proposed framework are analyzed by using Partial Least Squares (PLS). This is a method of Structure Equation Modeling (SEM) that allows investigating the inter-relationship between the latent and observed variables. In terms of statistical software tools, Smart PLS v3.3.3 was employed, which is one of the useriv friendly tools for data analysis. Finally, policies and recommendations are deployed based on the findings.중소기업 (SME)은 모든 국가의 사회 및 경제 개발에서 핵심적인 역할을 하고 있는 것으로 간주된다. 빅 데이터 분석 (BDA)과 같은 혁신적인 기술의 채택은 국가 경제 성장에 중요한 역할을 하는 있는 중소기업에 더 나은 경영 성과와 경쟁력을 가져올 수 있다. 본 연구는 중소기업에서 BDA 채택하는 데에 있는 주요 과제와 잠재력을 평가하고 개발 도상국 측면에서 BDA 채택은 중소기업의 경영 성과에 대한 영향을 조사하는 것을 목표로 한다. 본 연구의 목표를 이루기 위해 우선 SME에서 BDA 채택과 관련한 문헌검토(systematic literature review (SLR))를 하였다. 정보 시스템 연구자들 중에 Kitchencham et al [1]과 Okoli et al. [2]에 의해 시작된 정보 시스템 연구는 가장 일반적인 SLR 방법이라고 할 수 있다. 이 방법은 본 연구에 적용됩니다. 본 연구는 문헌 검토를 통해서 다양한 측면에서 SME를 정의하는 데 초점을 맞추고 있으며 SME에서 BDA 채택의 가장 일반적인 영향 요인을 밝혔다 . 문헌 검토한 결과를 보면, 선행 연구에서 SME의 BDA 채택에 있어서 34 개의 뚜렷한 영향 요인을 논의했다는 것을 확인되었다. 본 연구의 가설은 연구자들의 일치한 관점을 보여주는 영향 요인을 기반으로 설정하었다. 그 다음에 개발 도상국을 위한 개념의 체계를 세우고 통제 변인과 조절 변인의 영향도 추정하였다. 가설과 개념 체계를 평가하기 위해 본 연구는 몽골의 다양한 사업을 운영하고 있는 중소기업을 대상으로 온라인 설문조사를 실시하였다. 온라인 141 설문조사의 참여자는 회사의 주요 의사 결정자 및 정보 기술 전문가였다. 이를 통해 수집 된 데이터와 제안 된 체계를 PLS (Partial Least Squire)를 사용하여 분석하였다. 이 방법은 잠재 변수와 관찰 변수 간의 상호 관계를 조사 할 수있는 구조 방정식 모형 (SEM) 방법이다. 통계 소프트웨어 도구 측면에서는 접하기가 쉬운 데이터 분석 도구 중 하나인 SmartPLS v3.3.3 을 이용하였다. 마지막으로, 본 연구는 분석한 결과를 기반하여 정책 및 제안을 제시하였다.Chapter 1. Introduction 1 Chapter 2. Background on Big Data Analytics Adoption 6 2.1 Defination of Big Data 6 2.2 Defination of Small and Medium enterprises 9 2.3 Role of Big Data 10 2.4 Charateristics of developing countries 11 Chapter 3. Methodology and Model Design 13 3.1 Methdogology fused for analyzing Big Data Analytics in Small and Medium Enterprises in Developing countries 13 3.2. Model design 26 3.2.1 Factors 26 3.2.2. Theories 28 3.2.3. Classification of factors into categories 36 3.2.4. Impact on developing country 46 3.2.5. Impact on different industries 50 3.2.6. Theoritical background and hypothesis development 51 3.2.7. Technological context 54 3.2.8. Organizational context 58 3.2.9. Environmental context 61 3.2.10. Moderating variables 63 3.2.11. Control variables 65 Chapter 4. Framework for Mongolian case 67 4.1. Mongolia 67 4.2. Data collection 68 4.3. Basic understanding on moderating effect 70 4.4. Data analysis 71 4.5. Results 74 4.5.1. Reliability and validity 74 4.5.2. Structual model analysis 78 4.5.3. Moderating variables 82 Chapter 5. Conclusion 85 5.1. Discussion 85 5.1.1. Technological context 85 5.1.2. Organizational context 88 5.1.3. Environmental context 88 5.2. Contrubitions 89 5.3. Policy implication 90 5.4. Limitation and outlok 91 Appendix.1 93 Appendix.2 110 Bibliography 115 Abstract in Korean 140석

Deriving critical success factors for implementation of enterprise resource planning systems in higher education institution

This paper presents the findings of a study that uses the advanced impact analysis (ADVIAN®) method to derive critical success factors (CSFs) of enterprise resource planning implementation in higher education institution. Through analysis of CSFs, the paper contributes towards assisting higher education institution to reduce some of the plethora of challenges in this domain as highlighted in the literature. The ADVIAN® method classified 20 factors into categories of integration, criticality and stability as well as ranked them by measures of precarious, driving and driven. The results of the classification and ranking show 5 factors that are ideal for intervening activities and 5 factors that should be observed as indicators of successful interventions. Eventually, 12 CSFs were found that provide managers of higher education institution with a reference point to improve ERP implementation

Managing European R&D projects in the Industry 4.0 context: the perspective of a small consulting firm

open1noopenMersico, LuigiMersico, Luig

Juggling Paradoxical Strategies: The Emergent Role of IT Capabilities

The simultaneous pursuit of paradoxical strategies is an emergent means of attaining competitive advantage. By nature, exploration and exploitation are fundamentally different and contradictory, thus reflecting an instance of organizational ambidexterity. We assert that IT capabilities act through different mechanisms to influence ambidexterity. To test our model, we selected to gather data from 352 manufacturing firms in high growth sectors in India – a setting that provides an exemplar for the world’s enterprises undergoing rapid changes in the 21st century. Through OLS analysis we find strong support for our assertion that an organization’s IT capabilities individually and jointly influence organizational ambidexterity, hitherto a challenging competitive possibility. We are thus also able to account for previously unexplained variance in IT payoffs in the emerging economy and small and medium enterprise contexts. Overall, through this research, we validate the emergent role of IT capabilities in juggling paradoxical strategies in the 21st century

The Effect of Domain and Technical Expertise on the Training Outcomes for Case Management Systems in High Domain Expertise Fields

The successful implementation of an enterprise system requires training and end users in the new systems and procedures. There has been no research reporting a relationship between Domain Expertise (DE) and the successful implementation of an enterprise system. This study sought to begin filling this knowledge gap by exploring the relationship between DE, technical proficiency, training outcomes, and perceived training effectiveness for a new enterprise system, specifically a Case Management System (CMS) in a small and medium enterprise (SME). The research examines different subjects of technical expertise including skills, abilities, and knowledge to increase professional acceptance in the high domain of expertise field. In order to understand the complex nature of expertise and the significant impact, an exploratory approach is undertaken. Purposive sampling was utilized to select the 88 respondents to participate in the research, in which the role of domain expertise and technical expertise is explored. Based upon analysis, research showed the relevance of domain expertise and technical expertise in the deployment of successful case management systems. The results contributed to literature by showing that how training influences soft skills such as tacit knowledge on organizational culture and potential clients, deliver best solutions to the project management. Meanwhile, the outcomes provided significant traits on perceived training effectiveness, which drive increase in knowledge, practical implication, and quality of project delivered, presentation skills, communication and problem-solving abilities. The study also contributed to the literature in terms of defining how technical and domain expertise not only effect the outcomes of case management systems but also develop greater coordination for dealing the intricacies, project difficulties, and task-related complexities

A proposed model for enterprise resource planning benefits for SMEs

Small to medium sized enterprises (SMEs) play a significant role in global and national economies, both in developed and developing countries, contributing significantly to economic growth and job creation. Yet, SMEs face ongoing survival issues as their limited access to resources often constrains their ability to compete and realise their potential. Enterprise Resource Planning (ERP) systems are known to be a crucial component in realising benefits for any organisation and are seen as significant contributors to an organisation’s performance. However, only a portion of SMEs report that their value expectations have been met in adopting an ERP system. SMEs require a better understanding of how to extract value from ERP adoption in order to remain competitive. An on-going SME problem is a lack of low-level awareness of the benefits that an ERP system is capable of providing them. The problem is stated as “SMEs do not understand the benefits derived from the adoption of an ERP system”. The purpose of this treatise was to determine a clearer understanding of how ERP systems can be considered a technological innovation that may be exploited by an SME to deliver business value by increasing the performance of the SME and thereby increasing the SME’s competitive advantage. A literature review was conducted on ERP and SMEs which identified benefit models grounded in the theories of Diffusion of Innovation (DOI) and Resource Based View (RBV). DOI explains the benefits derived from ERP use as the technology diffuses throughout the social organisation and RBV measures the business value extracted from ERP adoption and use. A model for ERP benefits for SMEs was proposed based on the extant literature and empirical evaluation on a sample of 107 SYSPRO ERP users in South Africa. The model was statistically assessed as to the relationships between the independent variables of ease of use, collaboration, capabilities, efficiencies, analytics, industry sector and maturity against the dependent variable of ERP business value. The variables of analytics, capabilities and ease of use together explain 68.9% of the variance of ERP business value, while analytics and capabilities explain 53.8%. No significant relationship was found for efficiencies, collaboration, industry or maturity, being a measure of length of years’ experience in ERP use. The results indicate that SMEs perceive analytics to be a valuable determinant of ERP value contributing to the competitiveness of SMEs. The higher the SME focuses on analytics, the greater the organisation’s performance increases due to the enhancement of analytical-based decisions aiding in a better decision-making process. Capabilities are the degree to which an ERP system caters for the functional needs of the SME. This treatise argues that SMEs should pay particular focus on their operational requirements and whether the ERP system is capable of providing them as customisation of the ERP is costly. Organisational personnel utilising ERP must be comfortable utilising it. Perceptions as to an ERP’s complexity and usefulness define the ease-of-use. SMEs should consider the inherent aspects of a given ERP system that support the adoption rate of their personnel of an ERP system. Practically, SMEs should assess the degree of system intuitiveness both during ERP selection and during the adoption lifecycle phases. ERP providers should focus on the provisioning of aspects both in the software and during the implementation of an ERP system at an SME in ensuring the system is intuitive, useful, easy to use, functionally addresses the SME requirements simply and surfaces meaningful analytics in support of decision-making process

Fused or Unfused? The Parable of ERP II

One of the major visions is having one system that covers all business functions and satisfies virtually all the standard processes and routine transactions within organizations. In the last decade, several academics and practitioners have predicted the rise of what is called enterprise resource planning systems II (ERP II). ERP II was sought to be a digital platform that is capable of supporting timely decision-making through covering all business functions’ processes through having preloaded modules that will minimize the need for external systems like separate customer relationship management (CRM), e-business platforms, and supply chain management (SCM) systems, among others. While ERP systems nowadays have matured, and several packages come with CRM modules and other solutions, however separate CRM systems are still widely adopted by organizations. Thus, this study investigates why organizations that currently have ERPs with CRM modules are still investing in separate CRM systems. Our results show that the current ERP systems did not reach the ERP II state as envisioned, as most organizations are inclined to adopt separate CRM systems. Thus, we have presented five main reasons for this inclination, which are: scoping during ERP implementations, costs, features and functionalities, user-friendliness and ease of use, and finally integration with e-business platforms