Modeling the implementation barriers of cloud computing adoption

2018 ◽  
Vol 25 (8) ◽  
pp. 2760-2782 ◽  
Author(s):  
Rakesh Raut ◽  
Pragati Priyadarshinee ◽  
Manoj Jha ◽  
Bhaskar B. Gardas ◽  
Sachin Kamble
Keyword(s):  
Cloud Computing ◽  
Structural Model ◽  
Management Support ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Top Management Support ◽  
Expert Opinions ◽  
Cloud Computing Adoption ◽  
First Time

PurposeThe purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.Design/methodology/approachIn this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.FindingsAfter analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.Research limitations/implicationsThe developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.Originality/valueThis study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

scholarly journals Preliminary insight into cloud computing adoption in a developing country

2016 ◽  
Vol 29 (4) ◽  
pp. 505-524 ◽  
Author(s):  
Prince Kwame Senyo ◽  
John Effah ◽  
Erasmus Addae
Keyword(s):  
Cloud Computing ◽  
Developing Country ◽  
Quantitative Research ◽  
Relative Advantage ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Trading Partners ◽  
Toe Framework

Purpose – The purpose of this paper is to investigate the determinants of cloud computing adoption (CCA) in a developing country context through the lens of the technology, organisation and environment (TOE) framework. Design/methodology/approach – The study was carried out using the quantitative research methodology based on a survey of 305 organisations from different industries in Ghana. Based on the TOE framework, a conceptual model consisting of ten hypotheses were proposed and tested through a confirmatory factor analysis and logistic regression analysis. Findings – The findings indicate that relative advantage, security concern, top management support, technology readiness, competitive pressure and trading partners’ pressure were the TOE factors found to be significant in CCA in a developing country context. Conversely, firm size, scope, compatibility and regulatory support were found to be insignificant. Originality/value – This study provides insights into CCA across different industries in a developing country environment. The study is arguably the first kind of empirical research into CCA in a developing country context, specifically in Ghana. The findings from this study provide a foundation for other studies as well as constructive insights for the development of cloud computing, due to its infancy in the developing world.

Technology management for innovation in organizations: an argumentation-based modified TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rishabh Rajan ◽  
Sanjay Dhir ◽  
Sushil
Keyword(s):  
Technology Management ◽  
Top Management ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Related Factors ◽  
Business World ◽  
Content Type ◽  
Technological Infrastructure ◽  
Top Management Support ◽  
The Impact

PurposeIn the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.Design/methodology/approachIn this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.FindingsA total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.Research limitations/implicationsFor policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.Originality/valueThis study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.

scholarly journals A Decision-Making Model for Adopting a Cloud Computing System

2018 ◽  
Vol 10 (8) ◽  
pp. 2952 ◽  
Author(s):  
Seok-Keun Yoo ◽  
Bo-Young Kim
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Computing System ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Cloud Computing System ◽  
Decision Making Model

The use of big data, artificial intelligence, and new information and communication technologies has led to sustainable developments and improved business competitiveness. Until recently cloud services were classified as having special system requirements for a business organization, and was represented by different cloud computing architecture layers like infrastructure, platform, or software as a service. However, as the environment of IT services undergoes successive changes, companies have been required to reconsider their business models and consider adopting a cloud computing system, which can bring on business achievements and development. Regarding a decision-making model for adopting a cloud computing system, this paper analyzes critical variables in a hierarchical structure of decision areas: technology, organization, and environment, as well as seven factors and 23 attributes based on underlying decision factors of cloud computing adoption by AHP (Analytic Hierarchy Process) and Delphi analysis. Furthermore, this research explores a comparative analysis between demanders and providers of cloud computing adoption. Resultantly, this study suggests several important factors for adopting a cloud computing system: top management support, competitive pressure, and compatibility. From the demander side, the high priority factor was compatibility and competitive pressure; in contrast, related advantage and top management support were regarded as priority factors for providers to service their cloud computing systems.

Exploring suitability of cloud computing for small and medium-sized enterprises in India

2017 ◽  
Vol 24 (4) ◽  
pp. 814-832 ◽  
Author(s):  
Devesh Kumar ◽  
Harsh Vardhan Samalia ◽  
Piyush Verma
Keyword(s):  
Cloud Computing ◽  
Conceptual Framework ◽  
Information And Communication Technologies ◽  
Theoretical Models ◽  
Successful Outcome ◽  
Management Support ◽  
Perceived Benefits ◽  
Content Type ◽  
Security Issues ◽  
Cloud Computing Adoption

Purpose The purpose of this paper is to evaluate the suitability of cloud computing for small and medium-sized enterprises (SMEs) in India. Design/methodology/approach Literature review is used to identify benefits, challenges, and factors concerning usage and adoption of cloud computing by SMEs. A conceptual framework was developed based on the existing theoretical models and factors identified from the literature. A survey based on questionnaire method was followed to collect data from 121 manufacturing SMEs in India. The conceptual framework was refined by using factor analysis, and multiple regression analysis was used to test the hypotheses. Findings Major benefits of cloud computing for SMEs include cost advantage, easy deployment process, easier access to latest information and communication technologies, automatic updates and upgrades, scalability, flexibility, and improved disaster recovery and back-up capabilities. The concern area includes perceived loss of control, vendor lock-in, security issues, reliability and availability issues, and internet connectivity and speed. The factors that are found significant include perceived benefits, top management support, competitive pressure, and perceived concerns. The model explained 73 percent of cloud computing adoption. Research limitations/implications The study is expected to make significant contribution toward body of knowledge pertaining to information technology adoption in SMEs. Practical implications The study is expected to provide SMEs an insight into real benefits and challenges associated with adopting cloud computing. The model can help SMEs in evaluating their readiness for adopting cloud computing and can ensure successful outcome of cloud computing adoption in SMEs. Providers are also going to be benefited through their enhanced understanding of SMEs’ requirements. Originality/value The proposed framework incorporates all the relevant factors including perceived benefits, perceived concerns, and other organizational and environmental factors to improve model’s predictive power.

A framework to enhance agile manufacturing system

2017 ◽  
Vol 24 (2) ◽  
pp. 467-487 ◽  
Author(s):  
Rahul Sindhwani ◽  
Vasdev Malhotra
Keyword(s):  
Manufacturing System ◽  
Structural Model ◽  
Agile Manufacturing ◽  
Top Management ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Model Hierarchy ◽  
Or Organization

Purpose The purpose of this paper is to identify and analyze the interactions among different enablers of agile manufacturing system (AMS). The existing enablers available in the past literature are scattered and not able to meet specific requirements of the customers. So, it becomes a necessity to encapsulate these enablers in appropriate proportions to enable traditional organizations to AMS. To fill this gap total interpretive structural modeling (TISM) and MICMAC analysis-based framework model have been developed to understand the mutual interactions between among the enablers. Design/methodology/approach Identification of enablers followed by application of TISM, which is an innovative version of ISM and MICMAC analysis, is used to study and analyze the mutual interactions between identified enablers. Findings The result reveals that top management support, organizational structure and information technology integration have strong driving power and weak dependence power and are at the lowest level in the TISM model hierarchy, while the outcome enablers of AMS have low-driving power but have high-dependence power. Research limitations/implications This model is developed on the basis of inputs from few experts and may not reflect the opinion of whole industry community. Practical implications Top management must stress on enablers having strong driving power for efficient implementation of AMS. Managers in the area of manufacturing may drive useful insights from the empirical study presented in this paper. Managers should plan an effective strategy for proper implementation of AMS which makes organization more agile, productive, competitive and profitable. Originality/value TISM-based framework structural model has been proposed for industry or organization which is a new effort for implementation of AMS.

scholarly journals FACTORS INFLUENCING CLOUD COMPUTING ADOPTION IN SMALL MEDIUM ENTERPRISES

2017 ◽  
Author(s):  
Haslinda Hassan ◽  
Mohd Herry Mohd Nasir ◽  
Norhaiza Khairudin ◽  
Iskandar Adon
Keyword(s):  
Cloud Computing ◽  
External Pressure ◽  
Free Form ◽  
Top Management ◽  
Management Support ◽  
Perceived Benefits ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
It Resources ◽  
Medium Enterprises

Cloud computing offers information technology (IT) infrastructure, platform, and various applications via the Internet with minimum start-up cost, network access to a shared pool of configurable computing resources, and pay-per-use services. Although the potential for cloud computing is evident and much of the extant research has been carried out on cloud computing adoption, empirical studies on the factors that influence cloud computing adoption in the Malaysian Small and Medium Enterprises (SMEs) are, however, lacking. The objective of this study was to examine the factors that influence cloud computing adoption by the SMEs. We conducted a quantitative survey-based study to examine the relationship between perceived benefits, top management support, IT resources, external pressure, and cloud computing adoption. A free-form comment provided at the end of each section of the survey questionnaire was treated as qualitative data. We find that IT resources and external pressure significantly influence cloud computing adoption. Nonetheless, there is not enough evidence to support perceived benefits and top management support as significant factors of cloud computing adoption.  

A model for evaluating the vital factors affecting cloud computing adoption

Kybernetes ◽  
2019 ◽  
Vol 49 (10) ◽  
pp. 2475-2492
Author(s):  
Cheng Jianwen ◽  
Karzan Wakil
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Service Providers ◽  
Information And Communications Technology ◽  
Equation Modeling ◽  
Management Support ◽  
Content Type ◽  
Factors Affecting ◽  
Cloud Computing Adoption ◽  
Proposed Model

Purpose Nowadays, the rapid growth of information technology strategies such as cloud computing is very noticeable in organizations. The advantages of the cloud environment are unavoidable because of an increase in innovation, flexibility and economy. Therefore, the critical topic is considering the factors affecting the adoption of cloud computing. This study aims to understand the factors of the adoption of cloud computing and its benefit in companies. Design/methodology/approach A research framework with four hypotheses has been developed based on the results of previous studies. Structural equation modeling has been used for data analysis. Findings The proposed model is verified by the results. In addition, the results have shown that cloud computing adoption is affected by four variables as follows, including human factor (with sub-indicator personal innovativeness and knowledge), organizational factor (with sub-indicator size, adequacy of resources and top management support), technical factor (with sub-indicator compatibility and security) and environmental factor (with sub-indicator regulatory environment, competitive pressure and trading partner). Research limitations/implications There are crucial implications in the findings: they have an essential contribution to the research community, administrators and Information and Communications Technology providers with respect to framing improved tactics for the adoption of cloud computing. The proposed model can enhance the perception of service providers about why some services sectors accept cloud computing amenities, whereas apparently the same ones having the same market situations do not. In addition, the above providers should enhance their interaction with the services sectors contributed to the cloud computing experience to make a well-organized setting for the adoption of cloud computing, and eliminate any ambiguity about this sort of technology. Moreover, the sample has been limited to Iran respondents. Practical implications The research studies about the usage of cloud computing have shown its effects on organizations today. Also, the different impacts of cloud computing on other contexts and organizations are in the center of attention. By carefully considering and managing cloud computing adoption logics, organizations could get significant advantages. Originality/value Cloud computing’s technical and operational issues have been central in most of the previous studies. Some surveys have referred to the adoption of cloud computing by the organizations in terms of human characteristics or the contextual factor. Therefore, there should be a model and outline to assess the effect of aforesaid factors on cloud computing adoption.

Social sustainability in the supply chain: analysis of enablers

2015 ◽  
Vol 38 (9) ◽  
pp. 1016-1042 ◽  
Author(s):  
V. Mani ◽  
Rajat Agrawal ◽  
Vinay Sharma
Keyword(s):  
Supply Chain ◽  
Structural Model ◽  
Health And Safety ◽  
Social Sustainability ◽  
Safety Education ◽  
Interpretive Structural Modeling ◽  
Ethical Practices ◽  
Content Type ◽  
Expert Opinions ◽  
Supply Chain Analysis

Purpose – This study aims to identify various enablers and the inter-relationships among them in adopting social sustainability measures in the supply chain. Social sustainability in the supply chain has received growing attention in the recent years, due to growing awareness on equity, health and safety, education, child and bonded labor and ethical practices in corporates. Design/methodology/approach – Various enablers and their contextual relationships were identified. The enablers were classified based on dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the enablers to the social sustainability problem has been put forward using the interpretive structural modeling technique. Findings – In this study, 14 relevant enablers were identified from literature review and subsequent discussions with experts from academia and the industry. Competitive pressure leads at the bottom of the digraph with high DP, followed by customers ' requirements, financial liquidity and social concern. Social sustainability awareness was found to be at the last level with less DP. Research limitations/implications – Enablers were developed based on literature survey and expert opinions. Hence, the model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on social sustainability practices in the supply chain. Practical implications – The development of a hierarchy not only helps the supply chain managers to understand the enablers better, based on their importance, but also helps in decision making in the supply chain, which in turn enables the corporations to be competitive. Social implications – Findings of this article will help the corporations to be more socially sustainable by understanding the various enablers and their contextual relationships in the supply chain. Originality/value – The structured social sustainability model helps supply chain managers and experts to understand interdependence of the enablers. This also helps in identifying different enablers with different degree of importance, which will be very much useful in adopting social sustainability measures in the supply chain.

An Investigation on Cloud Computing Adoption Within Information Technology Companies

2021 ◽  
pp. 266-287
Author(s):  
Alireza Mohammadi ◽  
Armin Saeedikondori ◽  
Hossein Nezakati ◽  
Naghmeh Sabermajidi ◽  
Amer Hamzah Jantan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Relative Advantage ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Wide Range ◽  
Technology Services

Cloud computing is one of the most popular technology services, and its usage has increased significantly in recent years. This study aims to understand the factors that influence cloud computing adoption by Malaysian information technology (IT) companies. An in-depth review in the previous literature demonstrated a relationship between relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure with cloud computing adoption in Malaysia. The study's findings displayed that relative advantage, compatibility, top management support, and competitive pressure significantly affect cloud computing adoption. The study contributes to applying new technological features of cloud computing adoption in the industry through a wide range of variables. The results also help companies foresee their IT investment when implementing cloud computing. The relative advantage is identified to have the highest impact on cloud computing adoption.

Identifying and ranking CSFs for KM implementation in urban water and sewage companies using ISM-DEMATEL technique

2019 ◽  
Vol 23 (1) ◽  
pp. 200-218 ◽  
Author(s):  
Faeze Mousavizade ◽  
Mohammad Shakibazad
Keyword(s):  
Success Factors ◽  
Structural Model ◽  
Urban Water ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Critical Success ◽  
Proposed Model ◽  
The Status ◽  
Effective Development

PurposeThis paper aims to study the critical success factors (CSF) of knowledge management (KM) in Iranian urban water and sewage companies (IUWSC) using interpretive structural modeling (ISM)-decision-making trial and evaluation laboratory (DEMATEL) method.Design/methodology/approachThrough the literature review among many key factors of KM success, nine factors were selected as the main factors. After confirming the related indices by industry experts, a questionnaire was distributed among them for determining the relationship between the relevant components. Using ISM-DEMATEL approach, a structural model was formed and then the causal relationship among factors was visualized through a cause-effect relationship diagram.FindingsThe analysis of the results showed that among the studied factors, strategies and goals would have the greatest impact on success of KM implementation and senior management support, and teamwork and organizational culture are other CSFs of KM in IUWSC. In the end, the author’s proposed model for implementation of KM was presented based on the results for the status quo of the studied community.Practical implicationsThe set of CSFs can act as a guideline for organizations to ensure that basic factors and issues are covered during implementation KM. Moreover, it provides a clue for effective development of KM in a stepwise approach.Originality/valueThis survey is probably the first to provide an integrated view of CSFs for implementation KM in IUWSC. It is hoped to give valuable information to help this business sector to accomplish KM effectively.

Sign in / Sign up

Export Citation Format

Share Document