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Despite the recognized role of motivation of actors in technology adoption decisions, there is limited understanding of the psychological processes underlying the motivation. The purpose of this paper is to explore this gap by investigating Building Information Modeling (BIM) adoption from the viewpoint of Maslow’s motivational theory on hierarchy of needs.

This research uses mixed methods. Initially theoretical arguments establish the suitability of Maslow’s hierarchy of needs as the conceptual framework to investigate technology adoption. The hypotheses and research questions are investigated using data collected through focus group interviews, interviews and field observations in Australian architecture engineering and construction (AEC). The findings are validated with a survey of BIM adoption cases reported in literature, and additional interviews conducted in Finnish AEC sector. Finally, abductive reasoning is applied to seek the best possible explanation for the observed patterns.

It is found that besides individuals, organizations also demonstrate hierarchical ordering of innovation-related needs. Three broad categories of innovation-related needs are identified. Using abduction, the innovation-related needs of actors are described in terms of stable and excited states.

The findings are primarily based on studies conducted in regions with developed economies.

This research shows that Maslow’s hierarchy of needs could be a useful diagnostic framework to assess actors’ response towards technology adoption.

This investigation into the potential usefulness of Maslow’s theory into understanding technology adoption is by itself a novel research contribution. The finding that hierarchical view of needs can partly explain the adoption decisions of both individual and organizational actors is an original contribution.

In this study, the authors aim to understand the antecedents of technology adoption in Sub-Saharan Africa by investigating the relationship between people's economic status, their positive attitudes, and the adoption of communications technology.

The authors used data obtained from the Gallup World Poll that was conducted in 2008. The Gallup World Poll is a survey of residents in more than 150 countries. Based on a sample of 8,787 in Kenya, Ghana and Nigeria, the authors used SEM to test the hypotheses.

Hierarchical regression analyses revealed that economic status significantly predicts both positive attitudes and technology adoption. Further, the authors found that infrastructure development moderates the relationship between economic status and technology adoption.

The study attempts to plug the gaps in established theories of technology adoption which typically do not take into consideration factors that are peculiar to LDC contexts.

Big data analytics (BDA) is becoming a strategic tool to harness data to achieve business efficiencies. While business-to-customer organizations have adopted BDA, its adoption in business-to-business (B2B) has been slow, raising concerns about the lack of understanding of the need to adopt BDA. Little knowledge exists on the subject and the purpose of this study is to examine BDA adoption needs among B2B organizations.

A systematic literature review (SLR) following the six-step SLR guidelines of Templier and Paré (2015) involved 1,051 articles, which were content analyzed.

The authors offer two-pronged findings. First, on the basis of the SLR, the authors develop a new four-category classification scheme of needs to adopt BDA and present a consolidated review of the current knowledge base along with these categories (i.e. innovation, operational efficiency, customer satisfaction and digital transformation). Second, underpinned by the theory of organizational motivation and literature evidence, the authors develop propositions and a corresponding model of BDA adoption needs. The authors show that BDA adoption among B2B organizations is driven by the need to augment customer lifetime value, champion the change, improve managerial decision cycle-time, tap into social media benefits and align with market transformation.

The results facilitate theory development as the study creates a new classification scheme of needs and a model of needs to adopt BDA in large B2B organizations.

The findings will serve as a guideline framework for managers to examine their BDA adoption needs and strategize its adoption.

The study develops a new four-category classification scheme for understanding B2B organizations’ needs to adopt big data analytics. The study also develops a new model of needs which will serve as a stepping stone for the development of a theory of needs of technology adoption.

Drawing on social feminist theory, this paper aims to close gaps between knowledge about gender-related barriers to information, communication and technology (ICT) adoption and the provision of entrepreneurship education and training (EET) programs.

Empirical findings are drawn from 21 semi-structured interviews (22 informants) possessing differing training expertise regarding digital technology among women entrepreneurs. An open-coding technique was adopted where descriptive codes were first assigned to meaningful statements. Interpretive and pattern codes were then assigned to indicate common themes and patterns, which were reduced to higher-order categories to inform the research questions.

The findings specify and validate further gender influences in the digital economy. Digital skills are identified, and strategies to close gender barriers to ICT adoption with EET are described. The findings are discussed in reference to a large-scale, Canadian ICT adoption program.

Perceptual data may be idiosyncratic to the sample. The work did not control for type of technology. Gender influences may differ by type of technology.

Findings can be used to construct gender-inclusive ICT supports and inform ICT adoption policies. This includes program eligibility and evaluation criteria to measure the socio-economic impacts.

The study is among the first to examine the intersection between knowledge about gender-related barriers to ICT adoption and EET. The findings can be adopted to ICT support programs targeted at small business owners and entrepreneurs.

The objective of this paper is to propose a process through which channel stakeholders interact with one another to adopt a buyer‐seller technology with the purpose of improving the efficiency of their supply chain. The paper seeks to examine how ongoing business relationships between channel stakeholders influence the process of buyer‐seller technology adoption.

The paper extends the technology acceptance model (TAM) to dyadic adoption behaviour by incorporating a social network perspective for buyer‐seller relationships.

Buyer‐seller technology adoption occurs at multiple levels throughout a supply chain network. Although each channel stakeholder forms its own behavioural intention to adopt a new enterprise technology, actual adoption occurs at the dyadic level between two channel stakeholders. Network embeddedness and resource dependence can influence the individual firm and dyadic processes of buyer‐seller technology adoption.

The results of the study imply that successful implementation of a buyer‐seller technology requires attention to the relationships between channel stakeholders as well as each channel stakeholder's internal needs and capability of adopting the technology.

The paper offers a social network perspective of buyer‐seller behaviour when adopting a new technology. The model provides a framework through which the impact of internal and relational factors on technology adoption behaviour can be examined systematically at the dyadic level of supply chain relationships.

Purpose: In this technologically advanced era, it is crucial to understand how consumers adopt innovations so that producers and marketers can cater to these needs effectively. While existing technology adoption models have good explanatory power, a hybrid model must account for newer contexts.

Need for the Study: Most technology adoption papers in extant literature deal with the phenomenon’s functional, environmental and cognitive aspects. However, a mindset-oriented approach is largely absent from current studies. Mindsets are core beliefs people have about the malleability of human traits and characteristics that ultimately shape consumer behaviour. Investigating the adoption of such technologies through a deeper psychological lens will advance the field substantially.

Methodology: This conceptual paper utilised a literature review and theoretical integration to present a novel technology adoption model. The literature review of secondary data helped identify extant gaps, while academic integration of major concepts helped fill said gaps.

Findings: Based on the existing gaps in the literature, this study conceptualised a novel technology adoption model based on the foundation of Mindset Theory. Overall, relevant constructs, variables and scales have been presented along with future research propositions.

Practical Implications: From a global perspective, the findings of this chapter will enable marketers and practitioners to understand consumer adoption of new-age technologies. Producers of such technologies will also be able to cater to consumers more efficiently as a result of this study.

The purpose of our study was two-fold: (1) to examine the effect of perceived value derived from perceived benefits and sacrifices in the adoption of artificial intelligence (AI) in talent acquisition and (2) to investigate the moderating role of human resource (HR) readiness in the association between perceived value and AI adoption intention.

A structured questionnaire was administered to 198 talent acquisition executives and HR professionals of Indian IT companies based on a purposive sampling technique. Partial least squares structural equation modeling (PLS-SEM) was used on the Smart PLS 2.0 platform to analyse the data and test the model.

Results revealed that perceived benefits and sacrifices significantly predict perceived value which significantly affects the HR professional’s AI adoption intention. The study further found that HR readiness moderates the link between perceived value and the intention of HR professionals to adopt AI in the talent acquisition process in the Indian IT industry.

IT companies are advised to continuously monitor and evaluate the performance of AI tools to ensure that they are meeting the recruitment process needs to leverage AI’s benefits in talent acquisition. This study seeks to provide the impetus for a planned AI adoption in talent acquisition.

This research provides ample evidence for the existing technology adoption theories. It explored the predictors of adoption by validating the value-based adoption model in the Indian context. It provides valuable insights into the practice of acquiring talents in the IT sector using artificial intelligence.

The purpose of this paper is to explore the value of Actor-network theory as an approach to explain the non-adoption of collaborative technology.

The notion of translation and related concepts pertaining to Actor-network theory are used to explore the case of non-participation in an organizational online community. Semi-structured interviews were conducted with 30 HR professionals belonging to a multi-campus university system in Mexico.

The study shows that participation in the online community did not occur as expected by those promoting its use. An initial inductive analysis showed that the factors that undermine participation had to do with the interface design of the technology and the individual motivations and benefits derived from participation. A second analysis, using ANT showed how processes of negotiation, conflict, enrolment, alignment, and betrayal that occurred during the emergence and evolution of the new network played a critical role in technology adoption leading to the dissolution of the initiative to adopt the collaborative technology.

The study shows the value of ANT as a tool to better understand the adoption and use of collaborative technology. The analysis goes beyond existing explanations of participation, which tend to focus attention on matters such as the interface design or the personal motivations and benefits derived from participation. It does so by moving away from solely looking at what occurs within the boundaries of a community and understanding the context within which it is being introduced. It prompts the analysis of moments of problematization, interessement, enrolment, and mobilization to explore the adoption process, including the role of non-human actors.

El objetivo del artículo es explorar el valor de la Teoría del Actor-Red como lente teórico para explicar la no adopción de una tecnología colaborativa.

La noción de traducción y conceptos relacionados pertenecientes a la Teoría del Actor-Red son utilizados para explorar el caso de no participación en un a comunidad virtual en el contexto organizacional. Se realizaron treinta entrevistas semi-estructuradas con profesionistas de RH pertenecientes a una universidad con múltiples campus en México.

El estudio muestra que la participación en la comunidad virtual no ocurrió como se esperaba por aquellos que promovieron su uso. Un primer análisis inductivo mostró que los factores que minaron la participación fueron aquellos relacionados con el diseño de la interface de la tecnología así como con las motivaciones y beneficios individuales derivados de la participación en la comunidad virtual. Un segundo análisis usando la TAR, mostró como los procesos de negociación, conflicto, enrolamiento, alineamiento y traición que ocurrieron durante el surgimiento y evolución de la red emergente jugaron un rol crítico en la adopción de la tecnología, llevando así a la disolución de la iniciativa para adoptar la tecnología colaborativa.

El estudio muestra el valor de la TAR como herramienta para entender de una mejor manera la adopción y uso de la tecnología colaborativa. El análisis va más allá de las explicaciones existentes sobre participación, mismas que han tendido en enfocar su atención a aspectos como el diseño de la interface o las motivaciones y beneficios individuales derivados de la participación. En cambio, el análisis deja de solamente estudiar lo que ocurre al interior de la comunidad para entender el contexto en el que la comunidad virtual se encuentra, utilizando los momentos de problematización, interesamiento, enrolamiento y movilización para explorar el proceso de adopción así como el rol que juegan los actores no humanos.

The purpose of this paper is to examine the status of technology adoption of Indian apparel manufacturing firms and the organizational factors that affect the level of technology adoption.

Fourteen technologies applicable to apparel manufacturing were examined. A survey with an online questionnaire to apparel manufacturers in India was conducted to collect the data.

The most frequently adopted technology was the internet. The least frequently adopted technologies found in this study were robot‐related. The level of a firm's technology adoption was found to be significantly related to firm size positively and its export orientation negatively. It was also moderately related to competitive advantage. The effects of top management commitment, cost of capital, and technical skills were not significant.

Generalizability of the results is cautioned because the data were from the firms in one industrial town. The results indicate that technology adoption is related to the recent, intensified trade competition. The relationships among export orientation, price competition, and technology adoption need to be studied further.

Given the importance of upgrading in today's competitive global trade environment, this study builds a knowledge base of the technology adoption in apparel manufacturing and influential factors in developing countries.

The paper aims to evaluate how progressive stakeholders view the adoption of contemporary techniques such as virtual technology in driving sustainable quality in an emerging economy context.

The authors adopted a systematic literature review to develop the theoretical framework for virtual reality (VR) technology adoption in sustaining quality in agriculture production. The framework was refined after discussion with a panel of academic experts. The refined theoretical framework was further empirically validated using Partial Least Square Structure Equation Modelling.

The study focuses on the future perspective of the perception for progressive farming with the adoption of VR technology in an emerging economy. The data were collected from the stakeholders (farmers, collectives, cooperative, etc.), for their future perspectives for the adoption of VR technology and sustainable quality agriculture production. The study may help build up VR technology in emerging economies which may take years to be established.

The perception of the future perspective of VR technology study conducted has limitations. The findings are well established on technology adoption; however, the technology used will take many extra years to find its application in the agriculture sector. The study offers insightful theoretical, managerial and policy implications for sustainable quality in agriculture production through the adoption of virtual reality (VR) technology. The authors found very few works that focused on VR technology adoption.

The study discusses VR, which has an impact on sustaining the quality of agriculture production. The study has notable managerial and policy implications that suggest the future perspective for VR technology in agriculture production. The study is an unexplored area that needs research to capture future perspectives.