Cloud Computing Adoption

2020 ◽  
pp. 107-128
Author(s):  
Pragati Priyadarshinee
Keyword(s):  
Cloud Computing ◽  
Convergent Validity ◽  
Business Performance ◽  
Discriminant Validity ◽  
Initial Result ◽  
Measurement Scale ◽  
Clear Understanding ◽  
Management Support ◽  
Cloud Adoption ◽  
Cloud Computing Adoption

The purpose of this chapter is to develop a cloud computing adoption scale for Indian manufacturing, service, and process industries. The scale development procedure has been followed from the previous studies and is refined further for clear understanding to adopt easily. In the first step, the authors have conducted a qualitative study for item selection. The second step includes pilot testing of 110 responses for measurement scale purification, and finally, they are validating the scale with 660 sample respondents through convergent validity and discriminant validity. The initial result showed very poor threshold values for the items “top management support” and “marketplace establishment,” which have strong literature support. This measurement scale will help managers to evaluate the level of cloud adoption to increase the business performance. The study is a first attempt to develop a validated scale for cloud adoption that can be used in Indian industries.

Cloud Computing Adoption

2020 ◽  
pp. 837-858
Author(s):  
Pragati Priyadarshinee
Keyword(s):  
Cloud Computing ◽  
Convergent Validity ◽  
Business Performance ◽  
Discriminant Validity ◽  
Initial Result ◽  
Measurement Scale ◽  
Clear Understanding ◽  
Management Support ◽  
Cloud Adoption ◽  
Cloud Computing Adoption

The purpose of this article is to develop a cloud computing adoption scale for Indian manufacturing, service, and process Industries. The scale development procedure has been followed from the previous studies and is refined further for clear understanding to adopt easily. In the first step, we have conducted a qualitative study for item selection. The second step includes pilot testing of 110 responses for measurement scale purification and finally, we are validating the scale with 660 sample respondents through convergent validity and discriminant validity. The initial result showed very poor threshold values for the items “Top management support” and “Marketplace establishment” which are having a strong literature support. This measurement scale will help managers to evaluate the level of cloud adoption to increase the business performance. The study is a first time attempt to develop a validated scale for cloud adoption that can be used in Indian Industries.

Cloud Computing Adoption

2018 ◽  
Vol 8 (1) ◽  
pp. 97-116 ◽  
Author(s):  
Pragati Priyadarshinee
Keyword(s):  
Cloud Computing ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Initial Result ◽  
Measurement Scale ◽  
Clear Understanding ◽  
Management Support ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Indian Industries

The purpose of this article is to develop a cloud computing adoption scale for Indian manufacturing, service, and process Industries. The scale development procedure has been followed from the previous studies and is refined further for clear understanding to adopt easily. In the first step, we have conducted a qualitative study for item selection. The second step includes pilot testing of 110 responses for measurement scale purification and finally, we are validating the scale with 660 sample respondents through convergent validity and discriminant validity. The initial result showed very poor threshold values for the items “Top management support” and “Marketplace establishment” which are having a strong literature support. This measurement scale will help managers to evaluate the level of cloud adoption to increase the business performance. The study is a first time attempt to develop a validated scale for cloud adoption that can be used in Indian Industries.

The Impact of Cloud Computing on Organizational Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya
Keyword(s):  
Cloud Computing ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Performance ◽  
Direct Relation ◽  
Organizational Agility ◽  
Cloud Computing Adoption ◽  
The Cost ◽  
The Impact ◽  
The Relationship

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.

scholarly journals A Proposed Framework for Cloud Computing Adoption

2020 ◽  
pp. 978-1003
Author(s):  
Victor I. C. Chang
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Service Performance ◽  
Organizational Sustainability ◽  
Risk And Return ◽  
Business Context ◽  
Cloud Adoption ◽  
Organizational Challenges ◽  
Cloud Computing Adoption ◽  
Business Requirements

This paper presents a review related to Cloud Computing focusing on Cloud business requirements. From the review the author recommends a number of methods managing Cloud services and evaluating its service performance, including the use of a pair of the Hexagon Models. Three organizational challenges of Cloud adoption are identified: (i) Organizational Sustainability; (ii) Portability and (iii) Linkage. The Cloud Computing Adoption Framework (CCAF) is designed to deal with these challenges by helping organizations to achieve good Cloud designs, deployment and services. How these three challenges are addressed by the CCAF is demonstrated using case studies. Services implemented by CCAF are reviewed using the Hexagon Models for comparison. This paper provides recommendations to help organizations, researchers and practitioners to understand Cloud business context, to measure their risk and return analysis, to migrate their services to Cloud from all types and to connect and integrate different services as a single service.

The assessment of perceived information pollution in banking sector

2018 ◽  
Vol 35 (2) ◽  
pp. 68-76 ◽  
Author(s):  
Qaisar Iqbal ◽  
Siti Hasnah Hassan ◽  
Noor Hazlina Ahmad
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Information Quality ◽  
Discriminant Validity ◽  
Banking Sector ◽  
Reliability And Validity ◽  
Measurement Scale ◽  
Area Of Interest ◽  
The Social ◽  
Relationship Of

Infollution management is a substantial dilemma in this century. There is lacking empirical evidence about infollution management. Perceived infollution has been explored based on information quality. This study aims to identify the factors of perceived infollution (information pollution) and validate those factors using confirmatory factor analysis (CFA). Researchers have personally collected data from employees of the banking sector. Factor analysis was performed to explore the factors using Statistical Package for the Social Science, and CFA was conducted to check the reliability, validity, and the model fitness in SmartPLS. The scale developed in this study has exhibited high values of reliability and validity and ensured the presence of both discriminant validity and convergent validity. The newly developed scale of perceived infollution provides a basis for most of the academicians and researchers to empirically investigate the relationship of perceived infollution with individual’s performance and organizational effectiveness, which is considered an important area of interest among the academic researchers in recent years. Extent literature review suggests that it is the first study conducted to develop measurement scale of perceived infollution (information pollution).

Examining the Contributing Factors for Cloud Computing Adoption in a Developing Country

2019 ◽  
pp. 1663-1685
Author(s):  
Winfred Yaokumah ◽  
Rebecca Adwoa Amponsah
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Contributing Factors ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Enhance Efficiency ◽  
Facilitating Conditions

The growth in cloud computing adoption is phenomenal in organizations worldwide due mainly to its potential to increase productivity and enhance efficiency in business operations. However, cloud adoption is very low in many organizations in the developing countries. To gain insights into organizations' behavioral intention and usage behavior of cloud computing, based on the Extended Unified Technology Acceptance and Use Theory, the current study investigated the effects of technological, organizational, and environmental factors on cloud adoption in organizations. Using samples from five industry sectors and by employing the Structural Equation Model, the study found that facilitating conditions, habit, performance expectancy, and price value had positive and significant effect on behavioral intention to use cloud computing. But, effort expectancy, social influence, lack of motivation, and inadequate security were found to be barriers to cloud adoption. These findings could contribute toward better formulation of planning guidelines for successful adoption of cloud computing.

scholarly journals A Proposed Framework for Cloud Computing adoption

2016 ◽  
Vol 6 (3) ◽  
pp. 75-98 ◽  
Author(s):  
Victor I. C. Chang
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Service Performance ◽  
Organizational Sustainability ◽  
Risk And Return ◽  
Business Context ◽  
Cloud Adoption ◽  
Organizational Challenges ◽  
Cloud Computing Adoption ◽  
Business Requirements

This paper presents a review related to Cloud Computing focusing on Cloud business requirements. From the review the author recommends a number of methods managing Cloud services and evaluating its service performance, including the use of a pair of the Hexagon Models. Three organizational challenges of Cloud adoption are identified: (i) Organizational Sustainability; (ii) Portability and (iii) Linkage. The Cloud Computing Adoption Framework (CCAF) is designed to deal with these challenges by helping organizations to achieve good Cloud designs, deployment and services. How these three challenges are addressed by the CCAF is demonstrated using case studies. Services implemented by CCAF are reviewed using the Hexagon Models for comparison. This paper provides recommendations to help organizations, researchers and practitioners to understand Cloud business context, to measure their risk and return analysis, to migrate their services to Cloud from all types and to connect and integrate different services as a single service.

Interaction orientation based on value co-creation theory: scale development and validation

2019 ◽  
Vol 2 (3) ◽  
pp. 298-322
Author(s):  
Hongyan Yu ◽  
Rong Liu ◽  
Daowu Zheng
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Information Technologies ◽  
Discriminant Validity ◽  
Rapid Development ◽  
Operational Definition ◽  
Study Data ◽  
Measurement Scale ◽  
Content Type ◽  
Interaction Quality

Purpose With the rapid development of information technologies and the internet, firms have increasingly focussed on customer interactions to realise value co-creation. Previous studies have empirically examined interaction orientation, but their measurements have been derived from goods-dominant logic and have not explained the mechanism of value co-creation. The purpose of this paper is to propose an operational definition and define the dimensions of interaction orientation based on value co-creation theory (IOVCC), and then develop a scale for it. Design/methodology/approach In this study, data were collected from employees via three questionnaire surveys, and then analysed using exploratory factor analysis and confirmatory factor analysis. Findings The findings are as follows: IOVCC represents a firm’s implementation of a set of marketing actions aimed at inserting the firm into its customers’ daily life practices and co-creating value with the customers. The construct of IOVCC consists of five behavioural dimensions: “building communication channels”, “involving customers in co-production”, “improving service capabilities”, “improving interaction quality” and “integrating interaction resources”. The measurement scale for IOVCC has acceptable levels of reliability, content validity, convergent validity, discriminant validity and nomological validity. Originality/value This study enriches the literature on value co-creation theory by revealing the process and actions of co-creating value. It also contributes to the understanding of service touchpoints by highlighting the interaction quality of touchpoints. In addition, the authors have developed a reliable and valid scale for IOVCC, thereby facilitating the measurement of a firm’s implementation of the “value co-creation” business philosophy.

scholarly journals Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review

2019 ◽  
Vol 9 (3) ◽  
pp. 89-109 ◽  
Author(s):  
Mohammed Banu Ali
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Effective Means ◽  
Cost Effective ◽  
Teaching Staff ◽  
Multiple Perspectives ◽  
Adoption Studies ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Skilled Personnel

Cloud computing has become a major talking point in recent times. An innovation such as cloud computing for higher education institutions (HEI) can be a cost effective means to operate their IT systems effectively without having to spend vast amounts of money on developing their IT infrastructure. HEIs also face the burden of several challenges e.g. limited infrastructure resources and IT budget, as well as limited teaching staff, technical experts, and IT skilled personnel. With support from a systematic literature review approach, this article identifies the key determinants of cloud adoption from a technological, organisational, environmental and personal perspectives. A total of 17 cloud adoption studies in the HEI context and their respected models from the period of 2012 to 2017 are reviewed and discussed. The findings suggest a lack of cloud adoption studies in the HEI domain from multiple perspectives, particularly in relation to the wider socio-technical concerns related to cloud adoption and future studies related to this research gap are deliberated.

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