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This paper aims to empirically explore the TOE (technology-organisation-environment) factors influencing small to medium-sized enterprises' (SMEs') adoption of enterprise applications (EA).

Direct interviews were used to collect data from a random sample of SMEs located in the northwest of England. Using partial least squares (PLS) technique, 102 responses were analysed.

Results indicate that technology, organisation and environment contexts impact SMEs' adoption of EA. This suggests that the TOE model is indeed a robust tool to predict the adoption of EA by SMEs.

Although this study focused on examining factors that influence SMEs' adoption of a set of systems such as CRM and e-procurement, it fails to differentiate between factors influencing each of these applications. The model used in this study can be used by software vendors not only in developing marketing strategies that can target potential SMEs, but also to develop strategies to increase the adoption of EA among SMEs.

This model could be used by software vendors to determine which SMEs they should target with their products. It can also be used by policy makers to develop strategies to increase the rate of EA adoption among SMEs.

This paper provides a model that can predict SMEs' adoption of EA. SMEs, adoption, enterprise applications, enterprise systems, ICT, PLS, technology-organisation-environment framework, TOE

The purpose of this paper is to investigate the impact of hotel property characteristics and information technology (IT) decision-maker characteristics on radio frequency identification (RFID) technology adoption in the hotel industry.

The data of the study were collected using the subscription list of Hospitality Financial and Technology Professionals (HFTP). A Web survey was used to collect the data of the study. An email invitation was sent out to invite the entire list of HFTP subscribers (3,080) to participate in the survey. Approximately 3,000 emails were delivered and 154 questionnaires were returned. Of 154 questionnaires, 125 were used in the study for further analyses. Analysis of variance (ANOVA) was used to determine whether hotel property characteristics (property size and chain affiliation) and IT decision-maker characteristics (age, education level and job tenure) differed on intention to adopt RFID technology.

ANOVA results indicated that there were significant differences on intention to adopt RFID technology by property size and chain affiliation, IT decision-makers’ age, education level and job tenure. The results indicated that larger hotels and hotels that are part of a franchise are more likely to adopt RFID technology. In addition, IT decision-makers who are young, with high level of education and with shorter job tenure are more likely to adopt RFID technology.

RFID technology is one of the recent technologies that gained great attention from the hotel operators in recent years. This study is one of the first studies in the hotel industry that provides valuable information to technology vendors for identifying potential RFID technology adopters in the hotel industry.

The paper examines the conditions under which the adoption of the Internet of Things (IoT) innovation is justified by business purposes. The purpose of this paper is to propose a methodology capable of guiding prudent and successful investment in the IoT. The paper identifies enabling conditions to maximize the success of IoT security innovation adoption projects in Italian banks.

The methodology proposed is constructed from two key sources: first a literature review and second through impressions gleaned from an informal survey and in-depth interviews with a sample of convenience of six managers of Italian bank security systems. A key purpose of the literature review is to identify enabling conditions for a successful IT innovation adoption project which is then synthesized into an “innovation adoption model” capable of illustrating an IoT adoption decision. Second, the authors identify business process reengineering (BPR) steps required to establishing an appropriate organizational and technical framework to successfully undertake the adoption of the IoT for bank physical security purposes. The resulting methodology refers to a typical BPR project approached from an information system development perspective capable of fusing IoT services with human-based services at best performance values.

The literature review and proposed BPR framework give indications of possible support for the conclusion that the banking sector is ready for the IoT innovations and transformation of traditional bank branch worksites into smart environments. The tentative nature of these findings give sufficient justification for trialing the IoT for banking physical security by introducing an Intelligent Protection System to manage security management processes. Although the authors do not generalize the findings from examining the Italian banking security system, the literature review and the paucity of studies available encourages us to investigate the use of the IoT for bank physical security more broadly.

Adoption of the IoT represents the third wave of IT-driven competition and introduces a methodology applicable to the security domain which represents, globally, an area that is becoming a domain of major economic and social concern. The IoT adoption model proposed reflects the current state of knowledge in the field and could be extended to other organizational at-risk areas requiring continuity of highly effective protection. The authors are encouraged by the results that indicate a high likelihood of success to trial an IoT introduction to banking security.

The purpose of this article is to develop and propose a comprehensive framework that identifies the factors that influence a company’s decision to adopt business to business (B2B) technologies.

The authors review the literature regarding technology adoption from multiple disciplines including: Supply Chain Management, Logistics, Sociology, Information Systems, Marketing and Economics. A synthesis of the review provides the foundation for developing a comprehensive model of inter-firm technology adoption.

The review and synthesis finds inconsistencies in the theoretical models and constructs used in previous studies of inter-firm technology adoption. The comprehensive framework presented identifies four major categories of antecedents to technology adoption: characteristics of a technology, organizational factors, external factors and relationships. The presented model focuses attention on the inclusion of relational factors that affect the adoption of B2B technology.

An important area that has been ignored in the inter-firm adoption literature is the impact of inter-firm relationships on technology adoption. This paper emphasizes the importance of inter-firm relationships and identifies power, trust and justice as important relationships that influence the adoption of inter-firm technologies.

The expanded framework identifies the antecedents of B2B technology adoption, which can be used as a guiding framework by both academics and practitioners. The paper also offers directions for future work in the form of propositions.

This paper aims to address how management practices successfully implemented somewhere else, namely adoptive management innovation, have been introduced into Chinese firms and then effectively implemented, or to investigate key activities of the generative mechanism through which an adoptive management innovation occurs.

Since the purpose of management innovation is to utilize organizational resources more efficiently and further their goals, with little intention to pursue differentiation and without any protection from patent, adoptive management innovation has been prevailing around China and even the whole world. Based on the conception of what makes adoptive management innovation unique, this paper attempts to investigate the case of the Organizational Efficiency Management of Jiangxi Mobile in China to identify key activities of adoptive management innovation and develop a two-interlinked-subprocess framework of adoption decision and implementation, aiming to offer suggestions for firms in adopting new management practices.

The results indicate that adoption of existing management practices or methods from somewhere else is a more complex and logical process rather than a simple one of knowledge transferring. It needs to integrate existing practices into new organizational context and establish their innovative value during implementation. One core element of the process framework is the emphasis on activities of problem diagnoses and realization of the fitness between management practices adopted and the new organizational context, and another one is the sequence of activities in the whole process.

This research is constrained by at least three limitations. First, the authors' findings for the two-subprocess framework of adoptive management innovation need to be further confirmed for more organizations. Second, little attention has been paid to relative advantages of different sequence of activities. Third, when focusing on adoptive management innovation from a process perspective, this research does not address problems such as why some managers pursue innovative opportunities by introducing new practices, how contextual elements, internal elements, and top management teams affect management innovation, or how the performance of adoptive management innovation could be improved in China.

The findings offer some valuable insights for further research in how to explore the generative mechanism of organizational changes or innovations in China and hold important implications for management practices.

To enhance one's understanding of the evolution of knowledge management (KM), this study seeks to develop a research model to examine the impact of individual (knowledge self‐efficacy, openness in communication, reciprocal benefits), organizational (top management support, organizational rewards, and sharing culture), and information technology contexts (KM system infrastructure and KM system quality) on the KM evolution along three stages (KM initiation, implementation, and institutionalization).

Survey data from 241 managers (in charge of KM practices in their companies) in large Taiwanese firms were collected and used to test the research model using the structural equation modeling (SEM) approach.

The results reveal that the attributes for individual‐organizational‐technological contexts have different impacts on three stages of KM evolution. In particular, knowledge self‐efficacy, top management support, and KM system quality have positive effects on all three KM evolution stages.

Future research should include structured interviews and case studies of managers dealing with ongoing or recently completed KM planning projects to help understand the practical usefulness of the research model.

Creating an organizational climate characterized by top management support and knowledge‐sharing culture is likely to assist both management and employees in socializing and interacting with one another, thus driving KM effectiveness. Managers should strive to enable employees to propose ideas for new opportunities and foster a positive social interaction culture for implementing KM initiatives.

Theoretically, this study aims to provide a research model that is capable of understanding the antecedents of the stage‐based KM evolution. From a managerial perspective, the findings of this study provide valuable guidelines to policy‐makers and practitioners in implementing KM and accelerating KM evolution.

Radio-frequency identification (RFID) systems are transforming hospital operations by improving care and reducing costs. However, hospital managers have some concerns about adopting RFID technologies. These are cost, return on investment, privacy and other technology issues. This study examines RFID adoption in health-care industry based on the Technology-Organization-Environment framework. This paper aims to demonstrate how US hospitals are adopting RFID technologies and make recommendations, using empirical data.

An online survey was sent to Chief Information Officers and the top information technology (IT) executives of US acute care hospitals to determine the extent to which hospitals have implemented RFID technologies including the reasons, concerns and applications of RFID technologies, and the antecedents of RFID adoption in hospitals.

The study found that a high percentage of respondents have adopted or are considering adopting RFID technology as a new management tool. Organizational and technological factors have strong positive influence on adoption, whereas environmental factors do not significantly affect the adoption decisions. The main reasons for implementing RFID technology are improved hospital operations, including inventory management, asset control, workflow and patient flow. Some of the concerns are cost of RFID tags and cost associated with implementation.

This study is limited to a small sample (n = 86) of US hospitals. This study should continue to be replicated in the future, as adoption of RFID technologies matures in the health-care sector.

This study informs health-care managers on the challenges and opportunities of RFID by identifying motivations, barriers and issues related to RFID adoption. The findings of this study will expand the emerging literature and provide direction to academicians for further research in technology adoption.

The purpose of this paper is to attempts to provide further insight into IS adoption by investigating how 12 factors within the technology-organization-environment framework explain small- and medium-sized enterprises’ (SMEs) adoption of enterprise resource planning (ERP) software.

The approach for data collection was questionnaire survey involving executives of SMEs drawn from six fast service enterprises with strong operations in Port Harcourt. The mode of sampling was purposive and snow ball and analysis involves logistic regression test; the likelihood ratios, Hosmer and Lemeshow’s goodness of fit, and Nagelkerke’s R² provided the necessary lenses.

The 12 hypothesized relationships were supported with each factor differing in its statistical coefficient and some bearing negative values. ICT infrastructures, technical know-how, perceived compatibility, perceived values, security, and firm’s size were found statistically significant adoption determinants. Although, scope of business operations, trading partners’ readiness, demographic composition, subjective norms, external supports, and competitive pressures were equally critical but their negative coefficients suggest they pose less of an obstacle to adopters than to non-adopters. Thus, adoption of ERP by SMEs is more driven by technological factors than by organizational and environmental factors.

The study is limited by its scope of data collection and phases, therefore extended data are needed to apply the findings to other sectors/industries and to factor in the implementation and post-adoption phases in order to forge a more integrated and holistic adoption framework.

The model may be used by IS vendors to make investment decisions, to meet customers’ needs, and to craft informed marketing programs that would appeal to actual and potential adopters and cause them to progress in the customer loyalty ladder.

The paper contributes to the growing research on IS innovations’ adoption by using factors within the T-O-E framework to explains SMEs’ adoption of ERP.

This paper aims to examine the impact of demographic, technology, individual and organizational factors on perceived productivity of Egyptian teleworkers.

Data from 199 usable questionnaires are collected and analyzed by means of factor analysis and stepwise linear regression analysis.

The results highlight the crucial role of individual and organizational factors in influencing the perceived productivity of Egyptian teleworkers. In addition to the emergence of job security as a key determinant of perceived teleworking productivity, the role of satisfaction, commitment, work flexibility and management support is also emphasized. Surprisingly, the impact of demographic, attitudes and technological factors are barely observable.

The paper has important implications for managers and practitioners to boost teleworking productivity. Managers must ensure teleworkers' job security, work flexibility, and satisfaction. Also, addressing the efficient use of IT combined with user training should be based on clear understanding of teleworkers' need, knowledge and skills.

The paper is one of the first studies that examine determinants of perceived teleworking productivity. Also, the paper highlights teleworking productivity in an Arab world context, which is barely examined in teleworking research.

Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use.

The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities.

The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress.

This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.