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Intention to Use a Cloud-Based Point of Sale Software Among Retailers in Malaysia: The Mediating Effect of Attitude
Abstract
The on-premise point of sale (POS) system has been using by retailers for years. However, this system causes some user pains and problems, i.e. high capital investment, setup and maintenance hassle, lack of flexibility and reliability, and data security and privacy concern. Cloud computing as an emerging technology is used for developing a cloud-based POS software named RetailNow. A cloud service provider is in charge of delivering and maintenances of the software to retailers based on their environments. The provider is also responsible for security and privacy of data on its servers. Due to the pay-per-use subscription model of the cloud, retailers also save in their finance. The retailers only require a basic computer and an internet connection in order to connect to RetailNow. RetailNow is targeted for all scales and environments of retail outlets. The purpose of the study is to understand the influential factors that impact on intention to use RetailNow among retailers in Malaysia. The proposed model is the combination of the TOE and the TAM to obtain applicability and predictive power. In order to test the proposed model, a quantitative study using a self-administrated survey will be directed. A research method which is based on the multi-analytical approach of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANNs) is applied which enables extra verification of the results provided by the PLS-SEM for direct relationships in the model. We only apply PLS-SEM for testing the mediation effect.
... They conclude that the system suffers from both oversubscription (resulting in resource waste and low utilization) and undersubscription (resulting in performance degradation). The influencing factors that influence the intentions of retailers to adopt cloud-based point of sale system, was studied by [37], in a sample of retailers in Malaysia, using a model that combines Technology, Organization, Environment (TOE) and Technology Acceptance Model (TAM). ...
The aim of this investigation is to analyze subscription retailing research’s main topics and evolution over time. A bibliometric study and a content analysis were carried out on the documents published in Web of Science database about subscription retailing. The findings show that research after the COVID-19 pandemic was reinforced. The main researched industries are e-commerce, physical retail, and e-marketplaces, and the main topics are business model definition, typologies of subscription services, namely surprise boxes, the likelihood to use subscription services, and promotions, coupons, and relationship marketing. This study contributes to the area by providing scholars with the subscription retailing research state of the art and trends, helping to guide future researches. From a managerial view, it gives insights on how to use subscription retailing.KeywordsSubscription retailingBibliometric studyContent analysisBusiness modelSurprise boxes
This study draws from strategic choice theory, management fashion theory, and trust research to investigate organizational transformation toward cloud service. Considering organizations’ substantive rationality, this study proposes that SMEs’ entrepreneurial orientation and the institutional pressures received from the marketplace provide motives for their cloud transformation intention. These influences are mediated by a complex trust-building process. A survey involving 107 Chinese SMEs was conducted to validate our research model. The results illustrate that SMEs’ trust building toward the cloud-related situation and artifact plays a critical role in mediating the effects of strategic orientation and institutional pressures on their cloud transformation.
Cloud computing provides a way to coordinate and share relevant information and data on real-time basis over an organization. The adoption of cloud services is one of the most emerging technological advances in the practice of current competitive business environment. The research done in this article is based on the analysis of the data obtained from the semiconductor sector. Cloud adoption would most likely be the best answer for them. However, because of various types of complexities, semiconductor industries may have to confront with a few trust issues while receiving cloud services. This article aims to identify the trust factors in the adoption of cloud services in semiconductor industries. Further, the moderating effect of these trust elements related to the technological, organizational, and environmental success factors has been discussed here. On the basis of literature survey, a hypothetical model has been developed, and the relationships among the latent variables have been studied by using structural equations. The study reveals that while trust factors moderate the technology and environment-related success factors, there is not much moderating effect of the trust issues on the organization-related success factors in the adoption of cloud services in semiconductor industries.
Purpose
– The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level.
Design/methodology/approach
– A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model.
Findings
– The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption.
Practical implications
– The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption.
Originality/value
– This study integrates two of the information technology adoption models to improve predictive power of resulting model.
During the past 20 years, US retailing has gone through a period of unprecedented change as consumer demands and competition have intensified. This change is being further stimulated by the development of e-commerce. Study of successful retailers indicates that a retailer’s ability to successfully carve out and defend a competitive position in the marketplace depends, to a great extent, on its ability to make investments in and utilize information. The study described in this paper examined the use of technology in retailing. The purpose of this paper is to examine the underlying factors explaining why retailers adopt POS and EDI. The results indicate that retailers are adopting these technologies to achieve direct, indirect, and strategic benefits. These benefits take the form of improved inventory management, reductions in costs, and increased flexibility of response to customer demands.
Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
This chapter describes the Technology–Organization–Environment (TOE) framework. It begins by presenting a description of the
TOE framework and its constructs. Next, a brief review of studies that have used the TOE framework is provided. In this review,
an emphasis is placed on noting the type of innovation that is being adopted in each study. Also, the different ways in which
the framework has been adapted for various adoption contexts are highlighted. Finally, directions for future research with
the TOE framework are described. In spite of this framework’s stability since its initial development, many avenues for evolution
and development appear promising.
KeywordsAdoption of innovations-Diffusion of innovations-Technology-Organization-Environment framework-Technology adoption
The Internet has come to revolutionize the way in which business conducts commercial activities. In this paper, we report on the development of a model of Internet-based information systems (IIS) implementation in business-to-consumer electronic commerce based on IS implementation and technology innovation–implementation studies. Our research model suggests that eight factors, comprising the characteristics of IIS technology innovation, organizational factors, and IS related factors, affect the implementation success of IIS. IIS themselves are characterized by three dimensions: volume, sophistication, and information contents. The suggested model was empirically tested using survey results from Korean companies that have adopted IIS. The results of multivariate regression analysis reveal that compatibility and IS infrastructure are key determinants of the extent of IIS implementation (in terms of volume, sophistication, and information contents). IS expertise potentially affects the extent of IIS implementation.
CLOUD COMPUTING, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Developers with innovative ideas for new Internet services no longer require the large capital outlays in hardware to deploy their service or the human expense to operate it. They need not be concerned about overprovisioning for a service whose popularity does not meet their predictions, thus wasting costly resources, or underprovisioning for one that becomes wildly popular, thus missing potential customers and revenue. Moreover, companies with large batch-oriented tasks can get results as quickly as their programs can scale, since using 1,000 servers for one hour costs no more than using one server for 1,000.
Strategic information technology alignment remains a top priority for business and IT executives. Yet with a recent rise in environmental volatility, firms are asking how to be more agile in identifying and responding to market-based threats and opportunities. Whether alignment helps or hurts agility is an unresolved issue. This paper presents a variety of arguments from the literature that alternately predict a positive or negative relationship between alignment and agility. This relationship is then tested using a model in which agility mediates the link between alignment and firm performance under varying conditions of IT infrastructure flexibility and environmental volatility. Using data from a matched survey of IT and business executives in 241 firms, we uncover a positive and significant link between alignment and agility and between agility and firm performance. We also show that the effect of alignment on performance is fully mediated by agility, that environmental volatility positively moderates the link between agility and firm performance, and that agility has a greater impact on firm performance in more volatile markets. While IT infrastructure flexibility does not moderate the link between alignment and agility, except in a volatile environment, we reveal that IT infrastructure flexibility has a positive and significant main effect on agility. In fact, the effect of IT infrastructure flexibility on agility is as strong as the effect of alignment on agility. This research extends and integrates the literature on strategic IT alignment and organizational agility at a time when both alignment and agility are recognized as critical and concurrent organizational goals.
The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. However, if cloud computing is to achieve its potential, there needs to be a clear understanding of the various issues involved, both from the perspectives of the providers and the consumers of the technology. While a lot of research is currently taking place in the technology itself, there is an equally urgent need for understanding the business-related issues surrounding cloud computing. In this article, we identify the strengths, weaknesses, opportunities and threats for the cloud computing industry. We then identify the various issues that will affect the different stakeholders of cloud computing. We also issue a set of recommendations for the practitioners who will provide and manage this technology. For IS researchers, we outline the different areas of research that need attention so that we are in a position to advice the industry in the years to come. Finally, we outline some of the key issues facing governmental agencies who, due to the unique nature of the technology, will have to become intimately involved in the regulation of cloud computing.
Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions for these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited high convergent, discriminant, and factorial validity. Perceived usefulness was significantly correlated with both self-reported current usage (r=.63, Study 1) and self-predicted future usage (r =.85, Study 2). Perceived ease of use was also significantly correlated with current usage (r=.45, Study 1) and future usage (r=.59, Study 2). In both studies, usefulness had a significantly greater correlation with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecedent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.
The attention of software vendors has moved recently to SMEs (small- to medium-sized enterprises), offering them a vast range of enterprise systems (ES), which were formerly adopted by large firms only. From reviewing information technology innovation adoption literature, it can be argued that IT innovations are highly differentiated technologies for which there is not necessarily a single adoption model. Additionally, the question of why one SME adopts an ES while another does not is still understudied. This study intends to fill this gap by investigating the factors impacting SME adoption of ES. A qualitative approach was adopted in this study involving key decision makers in nine SMEs in the Northwest of England. The contribution of this study is twofold: it provides a framework that can be used as a theoretical basis for studying SME adoption of ES, and it empirically examines the impact of the factors within this framework on SME adoption of ES. The findings of this study confirm that factors impacting the adoption of ES are different from factors impacting SME adoption of other previously studied IT innovations. Contrary to large companies that are mainly affected by organizational factors, this study shows that SMEs are not only affected by environmental factors as previously established, but also affected by technological and organizational factors. Full Text at Springer, may require registration or fee
The attention of software vendors has moved recently to SMEs (small- to medium-sized enterprises), offering them a vast range of enterprise systems (ES), which were formerly adopted by large firms only. From reviewing information technology innovation adoption literature, it can be argued that IT innovations are highly differentiated technologies for which there is not necessarily a single adoption model. Additionally, the question of why one SME adopts an ES while another does not is still understudied. This study intends to fill this gap by investigating the factors impacting SME adoption of ES. A qualitative approach was adopted in this study involving key decision makers in nine SMEs in the Northwest of England. The contribution of this study is twofold: it provides a framework that can be used as a theoretical basis for studying SME adoption of ES, and it empirically examines the impact of the factors within this framework on SME adoption of ES. The findings of this study confirm that factors impacting the adoption of ES are different from factors impacting SME adoption of other previously studied IT innovations. Contrary to large companies that are mainly affected by organizational factors, this study shows that SMEs are not only affected by environmental factors as previously established, but also affected by technological and organizational factors. Full Text at Springer, may require registration or fee
The primary purpose of this book is to capture the state-of-the-art in Cloud Computing technologies and applications. The book will also aim to identify potential research directions and technologies that will facilitate creation a global market-place of cloud computing services supporting scientific, industrial, business, and consumer applications. We expect the book to serve as a reference for larger audience such as systems architects, practitioners, developers, new researchers and graduate level students. This area of research is relatively recent, and as such has no existing reference book that addresses it. This book will be a timely contribution to a field that is gaining considerable research interest, momentum, and is expected to be of increasing interest to commercial developers. The book is targeted for professional computer science developers and graduate students especially at Masters level. As Cloud Computing is recognized as one of the top five emerging technologies that will have a major impact on the quality of science and society over the next 20 years, its knowledge will help position our readers at the forefront of the field.
In many developing countries such as Saudi Arabia the adoption of cloud computing is still at an early stage. This research aims to investigate the influencing factors in the decision to adopt cloud computing in the private sector. An integrated model is proposed incorporating critical factors derived from a literature review, along with other factors (such as physical location) that have not been examined in previous studies as main factors in the organisation's decision to adopt cloud services. Data were collected from 300 IT staff in different organisations in the private sector in Saudi Arabia, in order to test the cloud adoption model and explore factors that were positively or negatively associated with cloud adoption. The most influential determinants of cloud adoption were found to be quality of service and trust. However, security and privacy concerns still prevent cloud adoption in this country. This study also showed that the effect of these variables differed according to organisation size and in adopter and non-adopter companies. Overall, these research findings provide valuable guidelines to cloud providers, managers, and government policy makers on ways of encouraging the spread of cloud computing in Middle Eastern countries and increasing its implementation, particularly in Saudi Arabia.
Business environments today are characterized as being very dynamic and hyper competitive. Organizations in these environments have to be agile in order to adapt their strategies and actions to be successful. While it is recognized that information technology can enable firms to be agile, there is a limited understanding of the mechanisms through and the contexts in which Information Technology (IT) enhances agility. This study examines two key antecedents of organizational agility, namely the IT competence of a firm and its innovation capacity and, examine their independent and joint effects on agility. We test our model using data collected from large firms in the US. The results provide strong support for our model. We found that firms with superior IS capabilities coupled with an aggressive IT investment orientation create digital platforms that enable them to be agile. We also found that the innovation capacity of the firm has a positive relationship with organizational agility and that firms with higher innovation capacity are better able to leverage their digital platforms to enhance agility. Our results indicate that organizational agility has a strong positive impact of firm performance. We interpret and discuss these results and their theoretical and practical implications.
Purpose
– The purpose of this paper is to explore the factors that drive the adoption of cloud-based services and further understand the impact of this adoption on the organizational flexibility. This study presents information technology executive’s perspective and discovers new constructs of organizational flexibility that can be achieved due to the adoption of cloud-based services, which is the main contribution of this paper.
Design/methodology/approach
– This study uses in-depth interview approach. Total 21 Indian cases were studied by interacting with respondents having similar profiles (i.e. CIOs, CTOs, technology heads, and systems managers). Based on the literature review a semi-structured questionnaire was prepared and administered through in-depth interviews.
Findings
– Analysis of data reveals that cloud-based services provide relative advantage in terms of scalability, accessibility, and on-demand deployment of services within no time. Easy to use interface, experience, and expertise of the cloud service provider as well as support from top management plays important role in the cloud adoption decision. Further the study also identifies that no matter which model of cloud-based services (software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS)) is used; cloud-based services’ adoption impacts organizational flexibility, which can be divided into four categories, namely, economic flexibility, process flexibility, performance flexibility, and market flexibility.
Research limitations/implications
– This is an exploratory study conducted through in-depth interviews hence the results can further be verified through a quantitative research. The study does not explore negative factors that may discourage adoption of cloud-based services. Though two factors vendor lock-in and security emerged as a concern very prominently in the in-depth interviews but this issue can further be explored in detail.
Originality/value
– This study bridge the gap in the research by identifying the factors that drive the adoption of cloud-based services in different forms (SaaS, PaaS, and IaaS) as well exploring the impact of cloud adoption on the organizational flexibility in case of Indian organizations.
Enterprise resource planning (ERP) systems are costly and complex but vital for companies having to face a rapidly changing business environment and an increasingly competitive marketplace. As the first study to examine the factors within the technology-organization-environment (TOE) framework that affect the decision to adopt ERP in Taiwan's communications industry, the empirical tests conducted here are based on personal interviews with a sample of 99 firms in Taiwan's communications industry. Eight factors in three broad categories are tested using logistic regression, and four of these, technology readiness, size, perceived barriers and production and operations improvements, are found to be important determinants of the adoption of ERP. This model correctly classifies 79.8% of the decisions made with respect to the adoption of ERP. The results substantiate the usefulness of this model which may be interesting to managers seeking to be more proactive in planning for their adoption of an ERP system.
Thailand, one of the fast growing countries in Asia, has initiated and implemented a series of national plans and activities to promote e-commerce adoption in both public and private sectors. Despite such efforts, e-commerce adoption rate is still slow. It is therefore important to understand factors affecting a firm's decision on e-commerce adoption in Thailand. This study examines the factors injluencing e-commerce adoption decisions in small and medium enterprises (SMEs) in Thailand. We classzB firms into three main groups based on the earliness of e-commerce adoption, namely adopters, prospectors, and laggards. Three groups of factors injluencing adoption decisions are identified, including organizational, technology, and environmental factors. Data was collected through a national survey in Thailand. The statistical analysis results strongly support the hypotheses. The results are interpreted and the implications of this study are subsequently discussed.
Software as a Service (SaaS) is a relatively new organizational application sourcing alternative, offering organizations the option to access applications--via the Internet--that are remotely hosted on offsite servers instead of installing equivalent applications in-house, thus presumably saving costs. Although SaaS has been offered since the late 1990s, so far it has not become a dominant sourcing alternative for organizational core applications, in spite of the fact that most leading IT companies now offer remotely-hosted organization-wide applications. This study conceptualized and empirically tested a model of the effects of the perceived risk of SaaS and trust in the SaaS vendor community on the organizational intention to adopt SaaS at this early stage of the SaaS market. Three novel, risk-related constructs were developed: perceived risk of SaaS, perceived risk of systems unavailability, and perceived risk of data insecurity. Likewise, three new trust-related constructs were also conceived: trust in the SaaS vendor community, perceived capabilities and perceived reputation of the SaaS vendor community. An empirical test of the model demonstrated the negative effect of perceived risk and the positive effects of trust in, and the reputation of, the SaaS vendor community, on the intention to adopt SaaS. Trust in the SaaS vendor community was also found to strongly affect all three risk concepts.
Purpose
– The purpose of this study explores what factors may influence information professionals to adopt new technologies, such as cloud computing in their organizations. The objectives of this study are as follows: to what extent does the technology acceptance model (TAM) explain information professionals intentions towards cloud computing, and to what extent do personal characteristics, such as cognitive appraisal and openness to experience, explain information professionals intentions to use cloud computing.
Design/methodology/approach
– The research was conducted in Israel during the second semester of the 2013 academic year and encompassed two groups of information professionals: librarians and information specialists. Researchers used seven questionnaires to gather the following data: personal details, computer competence, attitudes to cloud computing, behavioural intention, openness to experience, cognitive appraisal and self-efficacy.
Findings
– The current study found that the behavioural intention to use cloud computing was impacted by several of the TAM variables, personal characteristics and computer competence.
Originality/value
– The study expands the scope of research about the TAM by applying it to information professionals and cloud computing and highlights the importance of individual traits, such as cognitive appraisal, personal innovativeness, openness to experience and computer competence when considering technology acceptance. Further, the current study proposes that if directors of information organizations assume that novel technologies may improve their organizations’ functioning, they should be familiar with both the TAM and the issue of individual differences. These factors may help them choose the most appropriate workers.
Cloud computing is a new information technology (IT) paradigm that promises to revolutionize traditional IT delivery through reduced costs, greater elasticity, and ubiquitous access. On the surface, adopting cloud computing requires a firm to address many of the same concerns they face in adopting any enterprise IT. However, cloud technologies also offer new pricing and deployment strategies that are unavailable in traditional enterprise solutions. It is unclear how previous research frameworks of enterprise IT adoption relate to these new adoption strategies. To bridge this gap in the literature, our study uses the technology–organization–environment (TOE) framework of innovation diffusion theory to develop a cloud service adoption model that deals with not only adoption intention, but also pricing mechanisms and deployment models. Our research model has been empirically tested using 200 Taiwanese firms. We found that: (1) Cloud adoption is still at its initial stage, since the adoption rates are very low; (2) the perceived benefits, business concerns, and IT capability within the TOE framework are significant determinants of cloud computing adoption, while external pressure is not; (3) firms with greater IT capability tend to choose the pay-as-you-go pricing mechanism; (4) business concern is the most important factor influencing the choice of deployment model, with higher concerns leading to private deployment options.
A multitude of factors influence the adoption of cloud computing. Organizations must systematically evaluate these factors prior to making the decision to adopt cloud-based solutions. To assess the determinants influencing the adoption of cloud computing, we develop a research model based on the innovation characteristics from the diffusion of innovation (DOI) theory, and the technology-organization-environment (TOE) framework. Data collected from 369 firms in Portugal are used to test the related hypotheses. The study also investigates the determinants of cloud computing adoption in the manufacturing and services sector.
The purpose of this study is to investigate the critical factors that will affect the decision to adopt cloud computing technology in developing countries, specifically in Taiwan's hospital industry. This study mainly integrates the TOE (Technology-Organization-Environment) framework and HOT-fit (Human-Organization-Technology fit) model to understand this issue. Information was collected by employing a questionnaire research design to hospital CIOs in Taiwan. The obtained results indicate that the 5 most critical factors are data security, perceived technical competence, cost, top manager support, and complexity. Further, among the proposed four dimensions the most important one is technology followed by human, organizational, and environmental factors. Finally, the results show that significant differences exist in CIO innovativeness, data security, compatibility, top manager support, adequate resource, and perceived industry pressure across different adopting groups. For practitioners, this study identifies key factors for hospitals to make an adoption decision toward cloud computing technology. As for academia, this study can be provided as a useful reference for future studies in this subject field.
Cloud computing is a current trend that reveals the next-generation application architecture and it is estimated that by 2013 the cloud market will have reached $8.1bn. While cloud services such as webmail, Flickr and YouTube have been widely used by individuals for some time, it not until relatively recently that organisations have began to use cloud services as a tool for meeting their IT needs. This study aims to investigate how cloud computing is understood by IT professionals and the concerns that IT professionals have in regard to the adoption of cloud services. The study was carried out in Taiwan and used a survey by interview approach to understand IT professionals’ understandings and concerns about cloud computing. The findings of the study suggest that while the benefits of cloud computing such as its computational power and ability to help companies save costs are often mentioned in the literature, the primary concerns that IT managers and software engineers have are compatibility of the cloud with companies’ policy, IS development environment, and business needs; and relative advantages of adopting cloud solutions. The findings also suggest that most IT companies in Taiwan will not adopt cloud computing until the uncertainties associated with cloud computing, e.g. security and standardisation are reduced and successful business models have emerged.
Radio frequency identification (RFID) is one of the most promising technological innovations, with the potential to increase supply chain visibility and improve process efficiency. It allows remote identification of an object using a radio link. However, it has yet to see high rates of adoption in the manufacturing industry. Thus, effort is required to identify determinants affecting RFID adoption in the manufacturing industry. Based on the technology–organization–environment (TOE) framework of Tornatzky and Fleischer (L.G. Tornatzky, M. Fleischer, The processes of technological innovation, Lexington Books, 1990), nine variables (relative advantage, compatibility, complexity, top management support, firm size, technology competence, information intensity, competitive pressure, and trading partner pressure) are proposed to help predict RFID adoption. Data collected from 133 manufacturers in Taiwan is tested against the proposed research model using logistic regression. The results and implications included in our study contribute to an expanded understanding of the determinants that affect RFID adoption in the manufacturing industry.
Cloud computing has swelled into an estimated $46 billion market, representing roughly 17% of global software sales. This translates into a technology tsunami that can overwhelm the end user if they are not cautious about Internet safety. The ubiquity associated with cloud computing has created a huge false sense of security. Data, information, and applications are rapidly populating the “cloud environment”. Society is experiencing the illusion of inclusion. They see the cloud as one service from one source. The general public has no notion of the perils that lurk in the cloud. The word haze may be a better description for this atmosphere. This article will describe and discuss cloud computing technology. Furthermore, it will examine what the cloud pioneers Apple, Google and Amazon, are doing to safeguard the cloud and how they cope with the illusion of inclusion.
Purpose
In traditional point‐of‐sale (POS) systems, an in‐house database server processes all sales transactions it receives from local client computers. Such systems incur high costs because of operational requirements, such as professional maintenance, the sophisticated server hardware required, and scalability requirements. For small retailers that want to use POS systems but have relatively limited financial resources, these expensive operational requirements are big obstacles. Considering these issues, the purpose of this paper is to suggest a POS system that is adequate for small businesses.
Design/methodology/approach
Using a simulation method, the authors tested and compared the operational performance of POS systems in two different environments, i.e. the remote server‐client environment and the local server‐client environment.
Findings
One possible solution is for a group of small retailers to use a shared, remote database server, but such servers often have reliability and performance issues. To resolve these issues, the authors suggest a POS system that utilizes local data tables embedded in each client's computer. This system consists of a remote database server and a group of client POS computers with off‐line data‐handling capabilities. The results indicated that it is possible for small businesses to obtain significant benefits from an affordable POS system based on a remote client‐server model that utilizes a local data cache.
Practical implications
The results of this study indicated that small businesses may obtain significant benefit from the affordable POS systems based on a remote client‐server model that utilizes a local data cache.
Originality/value
The literature lacks studies on small businesses' accessibility to POS systems. The study fills this literature gap and shows a technological solution to provide affordable POS systems to small businesses, which have not been paid much attention by POS vendors.
Purpose
To examine the impact of organizational learning factors (training available, technical expertise, and knowledge level) and knowledge management processes (knowledge acquisition, knowledge application, and knowledge sharing) on e‐business systems adoption level.
Design/methodology/approach
The data from a survey of 202 IS executives in Taiwan were used empirically to test the proposed research model. Moreover, confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modelling technique was used to evaluate the research model.
Findings
The analytical results showed that organizational learning factors and knowledge management processes are closely related to the level of e‐business systems adoption. However, knowledge sharing did not significantly affect e‐business systems adoption level.
Research limitations/implications
Future studies could seek an enhanced understanding of the impacts on the level of e‐business adoption of the organizational learning and knowledge management factors investigated in this paper through structured interviews and case studies of IS executives dealing with ongoing or recently completed e‐business systems projects.
Practical implications
Owner/managers considering e‐business systems adoption would be best to focus on both social and technical factors, and their interaction within and beyond the organization, rather than focusing exclusively on technological considerations.
Originality/value
This paper has implications for e‐business managers or policy‐makers in formulating policies and targeting appropriate organizational capabilities to ensure effective adoption of e‐business systems.
The small business sector is one of the fastest growing sectors of the economy. The firms in this sector are becoming increasingly dependent on information systems (IS) for their operations. Traditional research in IS has primarily focused on large corporations. The problems, opportunities, and management issues encountered by small business in the IS area are unique, and research is too limited to provide useful guidelines. This study compares the research literature on IS implementation and research on IS in small business, examines the commonality and differences, and identifies research gaps. An overall research framework is developed to review the research in the two areas and determine areas of opportunity. As a follow-up of this analysis, a research model is developed to explore the factors influencing the adoption of computer-mediated communication technologies in small business. The model incorporates some of the innovation factors that are identified as potential gaps in the earlier analysis. The research model evaluates the impact of 6 factors-perceived usefulness, cost, compatibility, top management support, competitive advantage, and size-on the adoption of computer-mediated communications technologies. A telephone interview was used to collect data from 207 firms. The results of data analysis reveal that competitive advantage, top management support, and size are important determinants of adoption of computer-mediated communication technologies.
The presentation “Cloud Computing: Benefits, risks and recommendations for information security” will cover some the most
relevant information security implications of cloud computing from the technical, policy and legal perspective.
Information security benefit and top risks will be outlined and most importantly, concrete recommendations for how to address
the risks and maximise the benefits for users will be given.
Software-as-a-Service (SaaS) is emerging as a viable outsourcing option for clients interested in paying for the right to access a standardized set of business software functions through the network. SaaS model largely replaced the Application Service Providers (ASPs) model, by creating an architecture that provides no mechanisms for customizing the software on the vendor side; all customization is done on the client side through standardized interfaces. The fact that vendors are not making any client-specific investments makes this outsourcing model quite intriguing. In this paper we investigate client's side determinants the SaaS model adoption. We draw on economic, strategic management, and Information Systems theories to develop a theoretical framework. By integrating diverse literature streams, we are able to develop a more elaborate view of uncertainty arguing that some types uncertainty increase the propensity to adopt SaaS, while other types do not. Finally, we argue that the maturity of the client's internal enterprise IT architecture plays an important role in SaaS adoption decisions.
Purpose
The purpose of this paper is to investigate the factors that affect the adoption of cloud computing by firms belonging to the high‐tech industry. The eight factors examined in this study are relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure.
Design/methodology/approach
A questionnaire‐based survey was used to collect data from 111 firms belonging to the high‐tech industry in Taiwan. Relevant hypotheses were derived and tested by logistic regression analysis.
Findings
The findings revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing.
Research limitations/implications
The research was conducted in the high‐tech industry, which may limit the generalisability of the findings.
Practical implications
The findings offer cloud computing service providers with a better understanding of what affects cloud computing adoption characteristics, with relevant insight on current promotions.
Originality/value
The research contributes to the application of new technology cloud computing adoption in the high‐tech industry through the use of a wide range of variables. The findings also help firms consider their information technologies investments when implementing cloud computing.
Software as a Service (SaaS) is a relatively new organizational application sourcing alternative, offering organizations the option to access applications--via the Internet--that are remotely hosted on offsite servers instead of installing equivalent applications in-house, thus presumably saving costs. Although SaaS has been offered since the late 1990s, so far it has not become a dominant sourcing alternative for organizational core applications, in spite of the fact that most leading IT companies now offer remotely-hosted organization-wide applications. This study conceptualized and empirically tested a model of the effects of the perceived risk of SaaS and trust in the SaaS vendor community on the organizational intention to adopt SaaS at this early stage of the SaaS market. Three novel, risk-related constructs were developed: perceived risk of SaaS, perceived risk of systems unavailability, and perceived risk of data insecurity. Likewise, three new trust-related constructs were also conceived: trust in the SaaS vendor community, perceived capabilities and perceived reputation of the SaaS vendor community. An empirical test of the model demonstrated the negative effect of perceived risk and the positive effects of trust in, and the reputation of, the SaaS vendor community, on the intention to adopt SaaS. Trust in the SaaS vendor community was also found to strongly affect all three risk concepts.
Software-as-a-Service (SaaS) is an emerging business model that delivers software applications to users through web-based technology. Adopting SaaS applications allow companies to dramatically save their Information Technology (IT) costs. This paper discusses the concepts and applications of services, SaaS, outsourcing and their economic implications. SaaS can be adopted as an excellent outsourcing model since it exhibits the technological and economic benefits of IT services.
Among several types of “cloud services”, the Software as a Service (SaaS) solution is promising. The Technology Acceptance Model (TAM) and its modified versions have been popularly utilized for examining how users come to accept a new technology, but have not yet been employed to handle issues regarding SaaS adoption. This paper attempts to develop an explorative model that examines important factors affecting SaaS adoption, in order to facilitate understanding with regard to adoption of SaaS solutions. An explorative model using partial least squares (PLS) path modeling is proposed and a number of hypotheses are tested, which integrate TAM related theories with additional imperative constructs such as marketing effort, security and trust. Thus, the findings of this study can not only help enterprise users gain insights into SaaS adoption, but also help SaaS providers obtain inspiration in their efforts to discover more effective courses of action for improving both new product development and marketing strategy.
This paper discusses the concept of Cloud Computing to achieve a complete definition of what a Cloud is, using the main characteristics typically associated with this paradigm in the literature. More than 20 definitions have been studied allowing for the extraction of a consensus definition as well as a minimum definition containing the essential characteristics. This paper pays much attention to the Grid paradigm, as it is often confused with Cloud technologies. We also describe the relationships and distinctions between the Grid and Cloud approaches.
More power with point of sales data
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