Elsevier

Computers in Industry

Volume 65, Issue 5, June 2014, Pages 821-827
Computers in Industry

Determinants of choice of semantic web based Software as a Service: An integrative framework in the context of e-procurement and ERP

https://doi.org/10.1016/j.compind.2014.03.002Get rights and content

Abstract

The ever increasing Internet bandwidth and the fast changing needs of businesses for effectiveness with the partners in the procurement chain and is leading organizations to adopt information systems infrastructures that are cost effective as well as flexible. The question seems to be: what is driving organizations to go in for Software as a Service (SaaS) based e-procurement and ERP, rather than the packaged model of software provisioning? Whereas there have been studies reporting technology, cost, quality, network externalities and process as the main variables in the utility function of the user, but most of the studies have modelled either one or two in the their models. The study is exploratory in nature and tries to identify, classify and rank dimensions affecting SaaS sourcing decisions. In this study, we developed an integrative framework to identify the determinants of choice of SaaS in the specific context of SaaS based e-procurement and ERP. The framework was then analyzed using the extended Analytic Hierarchy Process (AHP) method suggested by Liberatore (1987) and the relative importance and the weights of the criteria identified using data collected on 8 users and 9 service providers of SaaS based e-procurement and ERP. Although the analysis helped in identifying quality and costs as the two most important determinants of choice of SaaS based e-procurement and ERP, but the other criteria such as network externality benefits, technology and process were also found to be significant determinants of choice.

Introduction

The ever increasing Internet bandwidth and the fast changing needs of businesses for effectiveness with the partners in the procurement chain and is leading organizations to adopt information systems infrastructures that are cost effective as well as flexible [14]. In Software as a Service (SaaS) based e-procurement and ERP business model of software provisioning, the consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings [30]. SaaS takes advantage of the thin client technology and provisions SaaS based upon the Internet and semantic technologies, where all the software and the data reside on the server and the client side needs an interface application like the browser, as against the packaged software provisioning model where the software is sold as a product. Some of the successful examples of SaaS are SalesForce.com and NetSuite. Although there are pure SaaS vendors, i.e. only provide SaaS, such as SalesForce and NetSuite, but some traditional packaged vendors such as Oracle, Microsoft, SAP and IBM are fast adopting hybrid SaaS i.e. Provide SaaS as well as packaged software to accommodate customer expectations and preferences [2]. According to the Sand Hill Group and McKinsey & Company report [13], The SME organizations are the biggest adopters of the SaaS based e-procurement and ERP model.

The question seems to be: what is driving organizations to go in for SaaS based e-procurement and ERP rather than the packaged model of software provisioning? Some of the major drawbacks of packaged model of software provisioning are the high upfront and implementation costs [9], [15], [16], [36], [42]. Also the software is difficult and costly to maintain and upgrade [14], [35]. Long lead times, high costs, complex planning sessions and deployment delays inherent to packaged, make SaaS based e-procurement and ERP a viable may to overcome these challenges and provide easy-to-use and cost-effective tools for system integration.

This paper contributes to the literature of SaaS and IS outsourcing. Research in IS outsourcing/ASP/SaaS although has talked about the motivations for going in for IS outsourcing/ASP/SaaS but has just listed the determinants either on the basis of a qualitative study or through a survey of literature but none of the studies have ranked the criteria for SaaS sourcing decisions. This study helps to determine: What dimensions organizations use when evaluating SaaS sourcing? How many dimensions they may use in a SaaS sourcing situation? The relative importance of each dimension in SaaS sourcing. The study is exploratory in nature and tries to identify, classify and rank dimensions affecting SaaS sourcing decisions. The reasons behind using extended AHP are: firstly, each respondent will not perceive a decision making situation to have the same dimensionality; secondly, the respondents need not attach the same level of importance to a dimension, even if all respondents perceive this dimension; and thirdly, judgments of a stimulus in terms of either dimensions or levels of importance need not remain stable over time and context.

The paper is organized as follows: an introduction is followed by a literature review of the important concepts used in the study. The next section is the theoretical framework which introduces the way in which the sub-criteria were clubbed together into criteria variables. A methodology section clarifies two stages in which the study was conducted. The analysis section introduces the step by step method of the extended AHP analysis and the results. Finally the study ends with a section on discussion and future directions for the study.

Section snippets

Semantic technologies supporting Software as a Service

Software as a Service is its first phase of evolution, also known as the ASP, was just an externally hosted software solution, which was owned and managed by the service provider and customized and subscribed by the client. Such type of software service provisioning increased the transaction costs of software service outsourcing and also built in switching costs for the client [1], [36]. A large number of studies report the failure of the traditional ASP model of software provisioning for the

Software as a Service in the context of e-procurement

E-procurement involves the use of the Internet and related technologies to perform purchasing activities, with the most basic form being merely buying products and services over the Internet. Along with its advancement, e-procurement has evolved to mean “automating the whole purchasing process and making order and requisition information available along the entire supply chain” [37]. E-procurement is the linking and integration of inter-organizational business process and systems with the

Determinants of choice of SaaS

The main advantage of this type of software provisioning is that the organizations are able to avoid upfront procurement costs and operating costs involved in maintaining the hardware and software resources and also manpower costs for expertise, thereby converting capital expenses to operating expenses and redirecting capital to core business investment [36]. The economic make-or-buy decision is based on the comparison between the production costs of internal operations versus transaction costs

Stage1

In the study, the researcher's design an integrative framework for evaluation of SaaS. Since the concept of SaaS is a recent concept in the application outsourcing domain, so, to the best of our knowledge there are few works in the area of SaaS, but they do not completely address our intention to find out a comprehensive list of criteria which determine the choice of SaaS based e-procurement and ERP. So, the literature search was conducted using other keywords like Application Service

Analysis and results

The demand side of the above integrative framework was analyzed based on data from 8 clients and 9 service providers of SaaS based e-procurement and ERP. The analysis followed the five steps as shown in Fig. 3.

Weighting criteria priority on the 2nd level is processed through rating scale technique as suggested by [27] as shown in Table 2. The major advantage of this method as against Analytic Hierarchy Process (AHP) is to overcome the number of comparisons when the number of alternatives is

Discussion

The analysis of the results shown in Fig. 4 show that the weighting order of the determinants of SaaS based e-procurement and ERP is: quality (LW: .2), cost (LW: .175), technology (LW: .165), process (LW: .149), resources (LW: .113) and network effects (LW: .112). The results imply that, for the decision maker, quality (LW: .2) and cost (LW: .175) criteria have the highest weight in the decision regarding whether to go in for SaaS based e-procurement and ERP or packaged. So, the decision to buy

Limitations

The study takes a positivist quantitative approach. The quantitative approaches fail to account for past experiences, knowledge of the domain, and personal preferences. The interpretive qualitative researches are much more valuable in finding out these behavioural nuances and one of such approach is being taken for a future study.

Future directions

The study is a first attempt to create an integrative comprehensive framework for SaaS based e-procurement and ERP. The current literature is focussed on IS outsourcing. So there is need for studies to be conducted on how the various criteria identified in this study can change the whole architecture of service provisioning from the packaged to the SaaS based e-procurement and ERP architecture.

The study can be extended to do a proper pair wise AHP analysis or other techniques on data collected

Monika Mital, is a Doctoral Scholar in Information Systems at XLRI Jamshedpur, India. She has published in reputed international journals like Information Technology and People, Business Communication Quarterly, Journal of Internet Commerce, etc.

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    Monika Mital, is a Doctoral Scholar in Information Systems at XLRI Jamshedpur, India. She has published in reputed international journals like Information Technology and People, Business Communication Quarterly, Journal of Internet Commerce, etc.

    Dr. Ashis Pani is Associate Dean of VIL Programmes and Chairperson the Center for e-Business. Presently working as Professor, Information Systems Area, XLRI, Jamshedpur, India. He has over 15 years of teaching, research, consulting and administrative experience. He has received IBM best faculty award 2008. Also received best paper award in International Academy of E-Business in 2009. His research and teaching focus on how organizations can effectively use information technology (IT) in general and the Internet in particular. He is member of IEEE and life member Computer Society of India.

    Dr. Ram Ramesh is Professor, Management Science and Systems, School of Management, University at Buffalo. Ram Ramesh's research streams include Economics of IT and Cloud Computing Markets, Conceptual Modeling and Ontologies, Database systems and Distributed Computing, Operations and Logistics, and Decision Analysis. He has published extensively in the above streams of research. His publications appear in journals such as INFORMS Journal on Computing, Information Systems Research, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions On Database Systems (TODS), ACM Transactions on the Web (TWEB), IEEE Transactions on Systems, Man and Cybernetics (SMC), Naval Research Logistics, Management Science, CACM, Journal of the American Society for Information Science and Technology (JASIST) and Applied Artificial Intelligence. He currently serves as an Area Editor for INFORMS Journal on Computing and others and is a founding co-Editor-in-Chief of Information Systems Frontiers (published by Springer).

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