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The purpose of this study is to explore the factors that affect the adoption of radio frequency identification (RFID) technology in Saudi Arabia’s logistics services industry. The specific focus is the influence of key variables in multiple domains: technology (complexity and compatibility); organization (top management support, firm size, quality of human capital and integration of supply chain strategy); and environment (information intensity, competitive pressure, trading partner pressure and regulatory pressure).

Data were obtained by distributing a survey instrument to a target sample of 459 Saudi logistics company employees whose positions meant they were well placed to explain the operations and technologies used in their organizations. In total, 459 useable responses were received, which also constituted the final sample for the analysis. The survey was validated using confirmatory factor analysis, and the study hypothesis was tested using binary logistic regression.

Of the firms represented in the data collected, 70% had not adopted RFID technology. Cost issues, technical issues and lack of industry standards were identified as the main factors hindering the decision to adopt RFID. The results of the binary logistic regression show that top management support, quality of human capital, firm size and trading partner pressure are the variables that most influence whether or not a firm adopts RFID technology.

According to the analysis, it is imperative that the industry adopt RFID given that this technology can provide strategic and operational advantages. Based on the findings, small and medium enterprises in the logistics services industry require governmental support in terms of providing funding, training and a supportive regulatory environment. Support of this nature would encourage logistics services companies to adopt new technology and move toward applying the global standards developed in the industry to date. Finally, in order to execute a clear and complete strategy across the supply chain, companies must collaborate with trading partners in implementing RFID.

The body of research on emerging markets does not include any empirical studies focused on the adoption of new technologies and innovation in the supply chain. Although researchers discuss applications of technologies in operational and supply chain processes across multiple industries, most of the published research on RFID technology focuses on European and North American contexts. This study is, therefore, much needed for its fundamental contribution to identifying and understanding the factors that affect RFID adoption decisions in emerging markets.

The purpose of this paper is to develop a model of electronic commerce (EC) implementation success for small to medium‐sized enterprises (SMEs), and to present outcomes of a comparative study between two countries to reflect the differences in the adoption strategies and explore reasons behind such variations.

Preliminary studies were conducted in both Australia and Singapore prior to a cross‐country survey, which collected the perceptions of small businesses about their experience with internet‐based EC. Multiple regression analysis was conducted to identify the influencing factors that affect success in the implementation of internet‐based EC.

By regressing overall satisfaction on the 19 influencing factors of EC success, the paper found that five factors: observability; communication channel; customer pressure; supplier pressure; and perceived governmental support, make significant contribution to the adoption of internet‐based EC in Australia; and only three factors: firm size; perceived readiness; and observability, have significant impact in Singapore.

The exploratory nature of the research means confirmatory or causally directional hypotheses could be generated in the future. It would also be insightful to conduct longitudinal studies to confirm the direction, to help clarify causality and test for feedback effects of adoption decisions. There was also no attempt made to control for industry type, which could tested more intensively in a chosen industry. Generalisability to other geographical context could be achieved if the research model can be tested over several other countries.

The study has found that the proposed model can be used in investigating drivers of EC implementation in SMEs, and the empirical data has adequately supported the model. The findings show that the organisational and innovation characteristics are necessary, but to provide a more comprehensive picture in explaining the implementation behaviour of SMEs, one needs to consider other factors and contexts especially when testing the model in different countries. Communication methods employed, government support, external pressure from customers and suppliers have been found to be very important for Australian SMEs in this decision.

A major contribution of this study is that it provides an understanding of what the organisational, technological, communication, and external environmental drivers of EC implementation are. The findings of this study could also help companies embarking upon cross border activities by illustrating the differences in EC adoption between the two Asia‐Pacific nations. The study also provides a close examination of the inhibiting and facilitating factors which can affect EC adoption success. By knowing the relative importance of these factors, SMEs may be spared from expending their limited resources and energy on less important factors which have limited contribution to EC implementation success.

The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs.

To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling.

The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant.

This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce.

The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

The purpose of this paper is to present an empirical investigation of the critical determinants for the adoption of e‐market in Australian small‐and‐medium sized enterprises (SMEs) within the technology‐organization‐environment (TOE) framework.

A conceptual model is proposed for better understanding the adoption of e‐market in Australian SMEs. Structural equation modelling is used for testing and validating the proposed conceptual model based on the survey data collected from Australian SMEs. A logistic regression analysis is conducted for identifying the relationship between the critical determinants and the adoption of e‐market in Australian SMEs.

A positive relationship is identified between the perceived direct benefit, top management support, external pressure, trust and the adoption of e‐market in Australian SMEs. The top management support emerges as the most critical determinant. The perceived indirect benefit, size and organization readiness, however, do not show a significant influence on the adoption of e‐market in Australian SMEs.

This study focuses on the investigation of the critical determinants in the adoption of e‐market in Australian SMEs. In order to gain an holistic understanding of the e‐market adoption in Australian SMEs, the impact of adopting e‐market on the performance of SMEs should be examined. Furthermore, this study does not distinguish the adoption of e‐market in SMEs between Australian metropolitan and rural areas. SMEs located in rural areas by the nature and location own specific characteristics such as a limited access to resources and less influenced by external pressure. The issues of their concern in the adoption of e‐market might be different from those located in metropolitan areas.

This study contributes to the e‐market adoption research in proposing and validating a research model for the e‐market adoption within the TOE framework, and by highlighting the criticality of the determinants of adopting e‐market in Australian SMEs.

Although there has been a surge in the adoption of building information modelling (BIM) in the construction industry, the small and medium-sized enterprises (SMEs) are still struggling and perceive its adoption as risky. The SMEs in developing economies are especially on the disadvantaged side of the digital divide. Extant studies have focused on large firms and there are scanty studies on the influence of the external environments on BIM adoption in SMEs. Thus, this study espouses institutional theory (INT) to examine the influence of coercive, mimetic, and normative pressures on BIM awareness and adoption in SMEs.

A quantitative approach was employed, and data were collected from the Nigerian construction SMEs via an empirical questionnaire survey using a sequential stratified and convenient sampling method. Hypothesized relationships between the coercive, mimetic, and normative pressure and BIM in SMEs were empirically tested using the partial least squares structural equation modelling (PLS-SEM) technique and the model was validated with the “PLSpredict” procedure.

The results revealed that coercive and mimetic pressures significantly influence BIM adoption in SMEs while normative pressures have the strongest influence on BIM in SMEs. Also, BIM awareness is an important predictor of BIM adoption. The findings also shed light on the influence of firmographics on BIM awareness and adoption in Nigerian SMEs.

The study empirically validates the applicability of INT and highlights that BIM adoption is not only influenced by internal responses to the need for efficiency but also by external pressures. It implies a clear need for intentional isomorphic pressures in driving BIM adoption in SMEs. The study employs the INT to explain a phenomenon that has not been theoretically explored in the context of SMEs in developing economies. Lastly, the study provided valuable insights into driving BIM adoption, together with the effective practical implications for implementation and potential research areas for further studies.

Understanding the critical determinants for the adoption of electronic markets (e-markets) is significant for the development of sustainable electronic business. The purpose of this paper is to investigate the critical determinants for the adoption of e-markets in Australian small- and medium-sized enterprises (SMEs) for electronic business.

A comprehensive review of the related studies is conducted. That leads to the development of a conceptual model for exploring the critical determinants for the adoption of e-markets in Australian SMEs. Such a model is then tested and validated using structural equation modelling on the survey data collected, leading to the identification of the critical determinants for e-market adoption in Australian SMEs.

The study reveals that perceived direct benefit, perceived trust, top management support and external pressures are critical for the adoption of e-markets in Australian SMEs. Perceived indirect benefit and organization readiness are insignificant for the adoption of e-markets.

This paper contributes to existing electronic business research by enriching the understanding of the critical determinants for the adoption of e-markets in Australian SMEs. Such a study provides government departments, e-market operators and SMEs with practical guidelines for the better use of e-markets in electronic business.

The aim of this paper is to understand why a collaborative innovation, such as radio‐frequency identification (RFID) technology, engenders seemingly opposite buyer‐seller relationship reactions among members of a supply chain.

The researchers carried out a three year exploratory multiple case study using the grounded theory approach through participant‐observation and collaborative action research. The research project culminated in a fully functional RFID proof of concept solution which involved multiple layers of a retail supply chain. The researchers chose the retail industry for the study because it provided the ideal conditions to answer the research question.

The results highlight the role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and the consequence of RFID implementation. Specifically, the impact on and of eight key dimensions was considered, namely communication and information sharing, cooperation, trust, commitment, relationship value, power imbalance and interdependence, adaptation, and conflict. The paper also positions open‐loop RFID projects as supply chain inter‐organizational systems and presents a model to analyze such initiatives.

The choice of methodology has provided the insight necessary to answer the research question. Other researchers are encouraged to validate these findings through replication with other case studies or through quantitative data to reach analytical and statistical generalizability. The authors also encourage future research on this topic in other industries.

As more supply chains move forward with collaborative RFID initiatives, it is important that these companies be aware of the strategic role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and a consequence of RFID implementation.

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.

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.

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.

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.

Adoption and effective use of e‐commerce remains low among small to medium‐sized enterprises (SMEs) despite substantial investments. This paper aims to analyse the e‐commerce adoption paths of SMEs to identify a specific group that would benefit the most from e‐commerce initiatives.

This qualitative study builds on a government‐funded research project that aimed to improve SMEs' understanding of on‐line trading. Data were drawn from case studies of smaller businesses, stakeholders and a series of seminars. A literature review supported the empirical data.

The paper finds that SMEs have significantly different attitudes to online business and cannot be regarded as a homogenous group for e‐commerce initiatives. Rather, specific targeting would enhance participation and lead to more effective use. Using categories derived from the literature, a classification of five SME groupings based on firms' motivations is proposed. It is recommended that adoption initiatives are targeted at two groups which have the need or desire to become e‐enabled.

By providing recommendations for targeted initiatives the paper contributes to the development of effective support for SMEs' e‐commerce adoption. Motivators and inhibitors to adoption are discussed within the context of existing literature to confirm and challenge current thought and present the case for more research into SMEs' motivations.

Value lies in the paper's use of empirical data derived from three separate methods of data collection and informed by the literature. This provides rich data to enable wider implications of the subject area to be discussed and contributes new perspectives to the SME e‐commerce adoption debate.

A multitude of factors influence the information technology outsourcing (ITO) decision. Organizations must systematically evaluate these factors prior to making the ITO decision. The purpose of this paper is to provide an in-depth analysis toward understanding the critical factors in affecting ITO decision in the context of e-banking services.

The effect of technological, organizational, and environmental attributes on e-banking services outsourcing decision were investigated in this paper. The study was carried out using the quantitative research methodology based on a survey of 23 banks. The partial least squares technique was utilized as the method of data analysis.

The results of the data analysis illustrated that nine out of 11 assumed factors (i.e. perceived complexity, perceived cost, service observability to the client, cultural fit between client and supplier, perceived loss of organizational knowledge, prior outsourcing experience, external pressure, market volatility, and suppliers’ power) influence the outsourcing decision of e-banking services. The findings also confirmed that the nature of the service and client IT capabilities did not exert any influence on the outsourcing decision.

The study is among the first kind of ITO decision research which empirically investigates the effect of service observability, cultural fit, perceived loss of organizational knowledge, external pressure, market volatility, and suppliers’ power amongst other factors on the ITO decision. The findings from this study provide insights for the banks and service providers to better understand the factors affecting the outsourcing decisions of e-banking services in contexts of less developed countries. Implications based on a specific situation of the Iranian banking sector is also proposed.