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A typical product design project involves a number of activities, and each activity requires human resources support. These activities and resources must be properly planned and scheduled in order to achieve optimum project time and cost. This paper proposes a process planning and scheduling (PPAS) system which is based on the concept of process planning typically used for the planning of production activities. Object technology (OT) is chosen as the platform for the development of the PPAS model for its specific characteristics such as inheritance, encapsulation, polymorphism etc. Presents the concept of the PPAS system, discusses its relationship with reference to product design, and proposes the use of object technology as a platform for building the PPAS.

While there is a plethora of literature examining the antecedents affecting technology adoption decision, there have been limited investigations into the various stages of technologies adoption by hoteliers. This paper aims to examine two established theoretical paradigms jointly, facilitating an understanding of not only the antecedents affecting technology adoption but also the hoteliers' intensity of technology adoption.

The development of Davis's Technology Acceptance Model (TAM) will be explored, from its adaptation of the Theory of Reasoned Action (TRA) to the Theory of Planned Behaviour (TPB). Following which, Roger's Diffusion of Innovation will be discussed and whether the concepts should jointly be explored so as to provide a more comprehensive elucidation of hoteliers' internet technologies adoption decisions.

The literature has corroborated that the TAM is effective in evaluating the concept of the user's perception of technology use by including the construct of internet applications' usefulness regardless of innovation intensity. Owing to the perpetual proliferation of internet technologies, the investigation of hoteliers' propensity to adopt internet technologies could be enhanced with the inclusion of the various levels of internet applications that are adopted. Rogers' diffusion of innovation paradigm helps to address this problem.

The concepts discussed here could help practitioners to become more aware of the factors that drive their internet technologies adoption. Academics could advance the paper's discussion of internet technologies adoption to other sectors of the tourism and hospitality industry.

The paper provides insight into the use of broader theories in understanding tourism and hospitality management phenomena. It is expected that academics would develop the discussed concepts further in order to create a wider awareness of how the industry responds to internet technologies at various stages.

This paper presents the design of a re‐configurable workflow system which is based on a product definition schema with the objective to expedite the product development activities. This proposed system is characterised by its ability to cope with unexpected changes during the early stages of product development by re‐configuring the workflow of relevant processes, thereby significantly enhancing the agility of the entire system. A novel approach based on a four‐layered product definition schema is adopted to provide the conceptual foundation for the development of a rapid product design system which has to cope with the frequent change requests due to ever‐changing customer demands in an increasingly competitive marketplace.

This study aims to analyse the criteria used in measuring the determinants of the adoption of virtual reality (VR) technology in real estate agency practice in Lagos, with a view to providing information with which the practice can be enhanced.

The data for the study were elicited using a questionnaire which was administered to eight real estate firms (REFs). The firms were those that have been operating in Lagos for at least five years, and the data collected were analysed using the DEMATEL method.

The findings revealed that perceived utility and relative advantage were the most important criteria for determining REFs' performance expectancy with VR technology. The two most important criteria to measure effort expectancy were “perceived ease of use” and complexity. “Subjective norms” was the most important criterion for measuring social influence, while “perceived behavioural control” was the most important criterion to measure facilitating conditions. Under “price value”, output quality was the only significant criterion. Finally, the frequency of use, the actual number of use and the amount of time spent utilising the technology were significant for measuring the REFs' use behaviour.

The study offers insights into the criteria that can assist REFs in integrating VR technology into real estate agency practice. The results are also helpful to the Nigerian real estate professional bodies to organise workshop programmes for REFs on the use of VR technology and other disruptive technologies. The results will also serve as a guide for REFs to gain a competitive advantage in this trying time of pandemic and help them measure up to global standards and the expectations of their clients.

Before this study, efforts have not been made to study the criteria for measuring the determinants of VR technology adoption in the Nigerian real estate agency practice.

The growing complexity of consumer engagement (CE) due to the impact of Internet of things (IoT) has been attracting significant attention from both academics and industry practitioners especially in recent times. Hence, understanding this phenomenon remains very crucial to the body of knowledge. This study conducted a systematic review on IoT and CE with the aim of proposing future research opportunities using the TCCM model.

Extant literature studies were systematically examined by sourcing high ranking ABS journals from EBSCO, ScienceDirect and Emerald. A total of 58 articles were included in the final analysis of this research.

The analysis established the need to conduct more research on CE due to the impact of new technological implementation in retail. The results further suggest the need for extensive research across African countries and emerging markets to enable broader empirical generalizations of research outcomes. Using the TCCM framework, the authors indicated directions for future empirical research.

This study exposes the current trends in CE and IoT. The results and analysis are both compelling and verifiable, hence, establishing a firm base of reference for future research in related fields.

Wireless Internet via mobile devices (WIMD) is leading the world into another spectrum of communications and means of conducting day‐to‐day business and life activities. Full bloom of wireless Internet services depends on user acceptance, as well as technology improvement. This paper develops a technology acceptance model for wireless Internet via mobile devices (TAM for wireless Internet), a conceptual framework to explain the factors influencing user acceptance of WIMD. By revising the technology acceptance model (TAM) to represent some unique features of the wireless system under study, TAM for wireless Internet proposes that constructs such as individual differences, technology complexity, facilitating conditions, social influences, and wireless trust environment determine user‐perceived short and long‐term usefulness, and ease of using WIMD. These, in turn, determine user intention and willingness to adopt WIMD. Twelve propositions are developed to promote and facilitate future empirical research relating to WIMD.

This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs.

The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system.

The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption.

Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically.

The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).

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.

The T-O-E framework enjoys robust scholarly accolade but it rarely espouses clearly task and individual factors. Although task and individual contexts had been separately addressed by task-technology-fit (TTF) and unified theory of acceptance and use of technology (UTAUT), respectively, the purpose of this paper is to complement and/or extend the T-O-E’s insights by integrating TTF and UTAUT frameworks, and developing and empirically testing a 12-factor framework that spans five contexts.

Survey data were proportionally collected from six groups of small service enterprises with strong operations in Port Harcourt, Nigeria and the mode of sampling was purposive and snow-ball while analysis involved logistic likelihood regression.

The relationship between adoption and the factors within the contexts of technology, organization, environment and task were statistically supported though some had negative coefficients. For individual context, social factor had a statistically significant negative coefficient but hedonistic drive was not statistically supported.

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

The findings encourage vendors and policy makers to place more premiums on organizational and task factors than on technological, environmental and individual factors and to craft informed marketing programs that would appeal to actual and potential adopters and cause them to progress in the loyalty ladder.

This paper contributes to the growing research on technology adoption; it uses factors within the T-O-E, TTF and UTAUT frameworks to explain adoption of technologies and to establish the underlying relationships amongst T-O-E factors through integrating other useful frameworks.