Service Oriented Architecture Adoption: A Systematic Review

Service Oriented Architecture (SOA) has appeared as an absorbing architectural approach that empowers the available systems to reveal their performance in the act of services without creating important changes to the systems. This approach, due to its flexibility of adoption, has been widely appreciated by the businesses. Though there are many studies that depict successful factors of SOA, a few minor cases of failure have also been reported in the literature. In spite of the availability of rich material on SOA, there is no systematic literature review on the influential aspect of SOA adoption factors. Thus, this paper presents a systematic literature review of existing studies (from 2009 to 2015) related to the SOA adoption and its success and failure. The central purpose of the study is to focus on the existing issues and share the findings with researchers. Moreover, the findings of this paper would help the IT experts in organizations focus on the most important factors highlighted in this study, so they could decide whether it is advisable to adopt SOA in their context or not

The impact of service oriented architecture adoption on organizations

Service-Oriented Architecture (SOA) is one of the technologies in the area of information systems’ design and architecture in the recent technology world. SOA adoption is known as an evolutionary process, instead of revolutionary one. In this process an application is developed in a long period of time which will be improved gradually. Since there is a limited number of researches that focus on the effects of SOA adoption in an organization, this study investigated the significant factors which affected SOA and have been more discussible in the last five years based on previous studies such as governance, strategy, complexity, Return on Investment (ROI), business and IT alignment, culture and communication, costs, and security. Since most of the researches focus on qualitative analysis for SOA adoption, a need for empirical research was felt. So, this study conducted a quantitative analysis to investigate the influential factors for adopting SOA. In addition, an SOA adoption framework was proposed to measure the effect of factors on SOA adoption and the performance of organizations. Based on the proposed framework, an online questionnaire was created and distributed among SOA experts through LinkedIn (the largest social networking website for people in professional occupations) to collect data about the influence of SOA adoption on organizations. Subsequently, this study has made recommendations for improving the organizations planning to adopt SOA or in the way of adopting SOA to promote the performance of their organizations. On the other hand, the outcomes of this study may pave the way to form the basic knowledge in the domain of organizational and technological SOA adoption and trigger further research in the field

Users behavioural intention model of using smart wellness wearables in Malaysia

Internet of Things (IoT) has attracted policymakers and academics’ attention as the next generation of digital revolution. In many developing countries, including Malaysia, rapid social and economic growth has spurred the emergence of chronic diseases as a significant public health challenge. Practitioners and researchers believe that physical inactivity and an unhealthy lifestyle will lead to these diseases. Nowadays, smart wellness wearables are considered a hot topic in the healthcare context to encourage individuals to have a healthier lifestyle and be responsible for their own health. Despite the important role of smart wearables in healthcare, limited number of researches have investigated some critical factors or empirically examined a limited number of important factors from the technology perspective. Therefore, a comprehensive model to explain users' intention to use smart wellness wearables is strongly needed. Accordingly, to identify potential factors that influence individuals’ intention toward smart wellness wearables usage, a comprehensive and systematic literature review was conducted. The research developed a unified model based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) including extra factors of perceived health increase and perceived trust. A quantitative approach was applied to examine fifteen hypotheses of the proposed model by surveying 254 smart wellness wearables’ users in Malaysia. The survey data were analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM) technique. The results indicated that perceived enjoyment, effort expectancy, performance expectancy, and perceived fee had a significant influence on perceived value, while perceived privacy did not have any significant impact on perceived value. Moreover, the results revealed that effort expectancy, performance expectancy, perceived enjoyment, perceived fee, perceived health increase, perceived trust, social influence, and perceived value had significant effects on intention to use smart wellness wearable devices while facilitating conditions and intention to use did not have any significant relationship. Theoretically, these results have enhanced the understanding of multiple factors that influence behavioural intention for using smart wellness wearables. The research findings contribute to the Information Systems research field by providing a holistic research model for researchers and practitioners for increasing users’ intention to use smart wellness wearables

Energy saving in green cloud computing data centers: a review

The Cloud computing is a new computing standard which targets to offer reliable, adaptive and Quality of Service (QoS) based computing environments for IT users. One of the recent major concerns in cloud environment is efficient usage of energy in its data centers. This paper reviews energy saving strategies in Data Centers for cloud computing and also discusses various approaches proposed in the previous research works in this field. The paper presents an intensive study of SIXTY EIGHT (68) researches focusing on energy consumption by data center servers and networks and energy efficient approaches in cloud computing. Based on the existing studies, Servers have been introduced as the most energy consumer in Data Centers

Organizational factors affected by SOA adoption: a critical overview (2008-2013)

Service-Oriented Architecture (SOA) adoption is known as an evolutionary process. In this process of adoption, a number of areas in an organization are affected. However, there are a limited number of researches that focus on the effects of SOA adoption in an organization. This study investigated the significant organizational factors affected by SOA adoption during the last six years. The study focused on factors such as governance, strategy, complexity, Return on Investment (ROI), business and IT alignment etc. The findings of this study show SOA governance and cost issues are known as critical success factors in the most studie

An analysis on the impact of Service-Oriented Architecture (SOA) adoption in organizations

An enormous number of organizations world-wide have adopted SOA. However, there are still only a limited number of research studies focusing on both the effects of SOA adoption in an organization, in addition to the factors an organization requires to adopt this technology. Hence, this study has investigated significant factors which affect SOA and these are discussed throughout the paper. From an examination of studies from 2009 till 2013, we noticed a number of important factors that impact on SOA adoption. Since most of the researches focus on qualitative analysis for SOA adoption, this study conducted a quantitative analysis to investigate the influential factors leading to the adoption of SOA. In order to conduct the research, an online questionnaire was created and distributed among SOA experts through the social networking platform of professionals, LinkedIn. Total one hundred and four (104) respondents from thirty (30) countries participated in this study. The results of this study indicate that there are both positive and negative influences upon SOA adoption. The positive influences includes, namely: governance, strategy, culture and communication, business and IT alignment, as well as ROI; while complexity, security concerns, and costs have negatively affected SOA adoption

A confirmatory factor analysis of the behavioral intention to use smart wellness wearables in Malaysia

Wearable technology refers to the next generation of the digital revolution that connects items with embedded sensors to the Internet so as to enhance the quality of human life. Wearables have shifted the focus of the healthcare sector toward prevention programs that empower individuals to be active and liable for their own health. Although the number of smart wearable users has grown significantly, there is still a lack of academic researches on what motivates and prevents the continued usage of these devices. Hence, the main objectives of this study are, namely: to explain the impediments and affecting factors in deciding to use smart wellness wearables from a user’s perspective; and to propose a unified model to explore the impact of these factors on an individual’s behavioral intentions. Accordingly, the “Unified Theory of Acceptance and Use of Technology 2” and the “Value-based Adoption Model” were integrated with two additional factors, namely perceived trust and perceived health increase. Following this, a survey was conducted among students and 100 reliable responses were received. As a result of this study, the Confirmatory Factor Analysis from the developed instrument is presented. The findings have confirmed the validity and reliability of the developed instrument. This paper also presents the theoretical understanding of the involved factors in the proposed model

Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis

Blockchain is an undeniably ingenious leading technology that has attracted the attention of academics and practitioners in different industries and disciplines. Due to the increasing interest of academic scholars in agri-food supply chain, this research aims to examine blockchain technology with a focus on the food and agriculture studies. Therefore, a bibliometric technique was adopted to detect the prominent trends and themes in this domain through analysing the substantial articles, authors, countries, and keywords. This research attempts to expand a graphical mapping of the bibliographic information of food and agriculture research using the R package bibliometrix and Visualisation of Similarities (VOS) viewer application. Thus, the present research performed the following analyses: the co-occurrence of author keywords, multiple correspondence analysis, bibliographic coupling analysis, co-citation analysis, and network view map analysis. The findings of the network view map revealed that food and agriculture studies have been categorised into three clusters, and the terms mostly used in the title and abstract of the articles were traceability, transaction, Internet of Things (IoT), safety, and food supply chain

Secure dynamic system development method (SDSDM): a survey about its suitability

Building secure software is about taking security into account during all phases of software development. However, the major problem in agile methods is the lack of basic security elements in their phases and practices. One of such method is Dynamic System Development Method (DSDM).Based on this study, we have observed that the original/traditional DSDM does not help guide the agile to develop secure software. In order to address this issue, we introduced additional phases and sub-phases to the original/traditional DSDM to integrate security. The proposed model is named Secure Dynamic System Development Method (SDSDM), which has six phases. These phases and sub-phases are feasibility study, functional model iteration, secure functional model iteration, secure design, design and build iteration and implementation. Our findings highlight an improved agility in DSDM after integration of security. However, the study focuses on a questionnaire (survey) where the subject matter experts’ opinion has been used to validate our model. Based on the experts’ opinion, we can say that it is possible to develop secure software using SDSDM model without affecting its agility negatively