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1 – 10 of over 73000When considering whether to adopt a network technology, how does uncertainty about whom a potential adopter might interact with affect their adoption choice? On the one hand…
Abstract
When considering whether to adopt a network technology, how does uncertainty about whom a potential adopter might interact with affect their adoption choice? On the one hand, uncertainty about potential network partners might enhance adoption incentives, as increased uncertainty induces the potential for economies of scope across the potential network. On the other hand, uncertainty may reduce the expected value of any particular connection, and reduce adoption incentives. Since this is a theoretical puzzle, this chapter presents empirical evidence to help illuminate it. It presents evidence the destabilizing of a social network may increase the scope of network externalities, using data on sales of a video-calling system made to an investment bank’s employees and subsequent usage by these customers. The terrorist attacks of 2001 led potential customers in New York to start communicating with a new and less predictable set of people when their work teams were reorganized as a result of the physical displacement that resulted from the attacks. This did not happen in other comparable cities. These destabilized communication patterns were associated with potential adopters in New York being more likely to take into account a wider spectrum of the user base when deciding whether to adopt relative to those in other cities. Empirical analysis suggests that the aggregate effect of network externalities on adoption was doubled by this instability, and that for those with diffuse networks, this more than compensated for the negative baseline effects of the instability.
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Milad Armani Dehghani, Dionysios Karavidas, Alexandra Rese and Fulya Acikgoz
With the rise of cryptocurrency and its influence on the financial industry, this paper aims to explore cryptocurrency affordances that lead to approach–avoidance behavioral…
Abstract
Purpose
With the rise of cryptocurrency and its influence on the financial industry, this paper aims to explore cryptocurrency affordances that lead to approach–avoidance behavioral intentions for non-users (potential) and the intention to continue use for users (actual), drawing upon affordance theory and chasm theory.
Design/methodology/approach
The authors collected data from 480 potential and actual users in Germany and used maximum likelihood structural equation modeling (ML-SEM) to analyze it. In particular, the data consisted of 301 cryptocurrency users in Germany\ the authors used ML-SEM to test the post-adoption model. Additionally, logistic regression was utilized to determine the dominant actual usage method (store of value or medium of exchange) for various cryptocurrency coins.
Findings
According to the study's results, the perceived value benefits have a positive impact on the behavioral intention of potential users to adopt cryptocurrency, and they influence the intention of actual users to continue using it. However, both perceived volatility and financial risk tolerance are the most crucial factors hindering cryptocurrency adoption, whether in the pre-adoption or the post-adoption stage.
Originality/value
This is the first study to reveal cryptocurrency affordances and examine their effect on behavioral intentions toward cryptocurrency adoption based on the differences between non-users (potential) and users (actual). Furthermore, the authors explore how cryptocurrency holders perceive and invest in different coins (e.g. NFTs), which sheds light on factors such as financial risk tolerance that affect their decision making.
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Apostolos Giovanis, Costas Assimakopoulos and Christos Sarmaniotis
The purpose of this paper is to identify the factors influencing the adoption of mobile self-service retail banking technologies, and the degree of influence of each factors…
Abstract
Purpose
The purpose of this paper is to identify the factors influencing the adoption of mobile self-service retail banking technologies, and the degree of influence of each factors leading their usage. Having mobile banking (MB) as the reference service and drawing on previous studies in the field, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model is proposed and empirically validated to investigate the impact of technology, social, channel and personal factors on potential customers’ usage intentions.
Design/methodology/approach
On evidence drawn, through a dedicated research instrument, from 513 non-users in Greece, the effects of the extended UTAUT’s drivers on MB adoption intentions are assessed using partial least squares path methodology.
Findings
The results indicated that technology-related factors, expressing innovation expected performance, and social influence are the leading determinants of MB adoption intentions, followed by the two channel-related factors, expressing perceived risk and trust toward MB usage, and potential users’ inherent innovativeness. Furthermore, the consideration of service experience as a moderating variable has shown that there is a significant difference in the effects of social influence and perceived trust on adoption intention between potential users with high and limited service experience.
Research limitations/implications
The sample is country specific and this may affect generalizability of findings. Also, the cross-sectional design adopted does not reflect the temporal changes.
Practical implications
From a practical point of view, the findings suggest that banks should consider, except of the technology-related factors of MB, the way that potential users perceive the channel-related factors as well as the individual differences in order to improve the MB acceptance level.
Originality/value
Although there are a few studies that use UTAUT to predict MB adoption, the proposed model is the first that combines four groups of MB adoption driving factors into a causal model in order to explain MB adoption intentions in a country which is facing severe financial crisis for the last eight years, Greece.
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Dara G. Schniederjans and Mehmet G. Yalcin
The purpose of this paper is to identify ways in which five technology adoption theories converge to enhance insight on 3D-printing perceptions and adoption.
Abstract
Purpose
The purpose of this paper is to identify ways in which five technology adoption theories converge to enhance insight on 3D-printing perceptions and adoption.
Design/methodology/approach
A total of 63 structured interviews were conducted with top management professionals from a variety of manufacturing organizations throughout the USA. After controlling for top management decision power, total of 35 interviews and non-parametric statistical analyses were used in conjunction with innovation adoption theory to derive four propositions.
Findings
Results show five adoption theories converge to create a new adoption model specific to 3D-printing. Results also suggests differences specific to users, potential users and non-users.
Originality/value
Results delineate between current, potential and non-users to better understand adoption. Dissimilar to current qualitative research, quantitative (non-parametric) techniques are used to examine the viability of the propositions. Further, the results use various adoption theories to determine convergences specific to 3D-printing.
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Mary Ann Eastlick and Sherry Lotz
A mail survey was conducted to identify personal characteristics, shopping patterns, and attitudes of potential innovators and non‐adopters of an interactive electronic shopping…
Abstract
A mail survey was conducted to identify personal characteristics, shopping patterns, and attitudes of potential innovators and non‐adopters of an interactive electronic shopping innovation. Differences among all potential adopter groups were also examined. A national sample of 2,500 US cable television subscribers were surveyed. Results suggested that strongest predictors of potential innovator and non‐adopter group memberships were perceived characteristics of the interactive shopping innovation including relative advantage over other shopping formats and compatibility with lifestyles. Also important were consumers’ prior shopping experiences with other nonstore retailers. Among potential adopters (i.e., innovators, early adopters, and followers), similar characteristics were exhibited, differing only by intensity. Managerial implications are discussed.
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Mohammed Ali and Aniekan Essien
The purpose of this study is to explore how big data analytics (BDA) as a potential information technology (IT) innovation can facilitate the retail logistics supply chain (SC…
Abstract
Purpose
The purpose of this study is to explore how big data analytics (BDA) as a potential information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from the perspective of outbound logistics operations in the United Kingdom. The authors' goal was to better understand how BDA can be integrated to streamline SCs and logistical networks by using the technology, organisational and environmental model.
Design/methodology/approach
The authors applied existing theoretical foundations for theory building based on semi-structured interviews with 15 SC and logistics managers.
Findings
The perceived benefits of using BDA in outbound retail logistics comprised the strongest predictor amongst technological, organisational and environmental issues, followed by top management support (TMS). A framework was proposed for the adoption of BDA in retail logistics. Contextual concepts from previous literature have helped us understand how environmental changes impact BDA decision-making, as such: (i) SC maturity levels and connectivity affect BDA utilisation, (ii) connected SCs improve data accessibility and information exchange, (iii) the benefits of BDAs also affect adoption and (iv) outsourcing complex tasks to experts allows companies to focus on core businesses instead of investing in IT infrastructure.
Research limitations/implications
Outside the key findings listed, this study shows that there is no one-size-fits-it-all approach for use within all organisational settings. The proposed framework reveals that the perceived benefit of BDA is non-transferrable and requires top-level management support for successful implementation.
Originality/value
The existing literature focusses on the approaches to applying BDA in SC and logistics but fails to present a deep dive into retail outbound logistics activity. This study addresses the “how” and proposes a social-inclusive framework for a technology-enabled topic.
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Stanislav Mamonov and Raquel Benbunan-Fich
This study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart…
Abstract
Purpose
This study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart lock adoption intention and we evaluate gender differences in the predictive value of the identified constructs.
Design/methodology/approach
The study assumes pragmatic epistemological stance and it leverages mixed-methods research design. The research progresses through three stages: belief elicitation, exploratory factor analysis and confirmatory factor analysis within a nomological network. New groups of participants were recruited for each stage of the study.
Findings
We find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-à-vis conventional locks in providing safety and security is significantly correlated with adoption intention for both genders. We also find that perceived novel benefits are a significant predictor of the smart lock adoption intention for women, but not for men.
Research limitations/implications
Our results indicate that perceived relative advantage can be the singular critical consideration in the adoption of smart home technologies that replace incumbent solutions. The results also demonstrate that gender-specific models can better capture gender effects that influence technology adoption and use.
Practical implications
Smart home technology vendors would need to convince prospective users that new technology is better than the incumbent solutions on the core affordances of the incumbent technology. Men and women differ in the consideration of novel benefits afforded by novel technologies.
Originality/value
This is among the first studies to examine salient beliefs that affect smart home technology adoption. The findings suggest that the traditional models (TAM, UTAUT) do not capture the key salient beliefs that can influence innovative smart home technology adoption. The study also suggests that gendered models are needed to understand technology adoption in contexts where technology adoption intersects with gender roles.
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Bright Owusu Asante, Jonas Osei-Adu, Kingsley Osei, Stella Ama Ennin, Beatrice Aighewi and Monica Opoku
This paper aims to investigate how awareness influences the adoption of positive selection (PS) technology among smallholder yam farmers in West Africa. PS has the potential of…
Abstract
Purpose
This paper aims to investigate how awareness influences the adoption of positive selection (PS) technology among smallholder yam farmers in West Africa. PS has the potential of increasing yield and reducing disease incidence and severity in yam production.
Design/methodology/approach
This paper applies the average treatment effect (ATE) methodology to estimate the rates of awareness and adoption of the PS technology and associated factors using data from 678 smallholder seed yam farmers in Ghana and Nigeria.
Findings
The results indicate that the actual adoption rates of PS technology are 58 and 55%, while the potential adoption rates are estimated at 89.5 and 79.3% for Ghana and Nigeria, respectively, if the PS technology was fully disseminated. This leads to adoption gaps of 31.7 and 24.8%, respectively, for Ghana and Nigeria stemming from incomplete awareness of the PS among the population of yam growing farmers. The PS adoption is high among the educated young farmers who are members of farmer based organizations and participate in demonstrations.
Practical implications
Promotional efforts for enhancing awareness and adoption of PS should target educated youth willing to participate in field demonstrations and should focus on scaling up of PS technology to ensure quality farmer saved seed yams and enhance yam productivity in West Africa.
Originality/value
The introduction of PS in seed yam production is quite recent also its introduction to seed yam farmers in West Africa. Subsequently, a better understanding of what the adoption status would be should everyone in the population of yam farmers are aware of PS is vital for policy, research and development.
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Despite a growing interest in business analytics (BA) from the business and academic communities, it is still unknown what truly motivates and hinders the adoption of BA. To have…
Abstract
Purpose
Despite a growing interest in business analytics (BA) from the business and academic communities, it is still unknown what truly motivates and hinders the adoption of BA. To have a clear picture of what will lead to the successful implementation of BA, this paper identifies contextual variables (e.g. user characteristics, organizational readiness and technology infrastructure/expertise) that significantly influence the BA adoption decision.
Design/methodology/approach
This paper conducted a series of classification, discriminant and logistics regressions analyses to analyze the differences in mail survey responses between adopters and nonadopters of BA and then determine what either motivate or inhibit the BA adoption.
Findings
Through a series of hypothesis testing, we discovered that large firms with a greater number of information technology (IT) staff and budget tended to adopt BA more than their smaller counterparts. Also, we found that BA skeptics, who did not fully recognize BA benefit potentials, were more concerned about BA implementation costs and experienced the greater organization resistance to BA adoption than the others did. Therefore, they were less likely to adopt BA.
Originality/value
In the era of knowledge-based economy, the firm's ability to derive actionable insights from big data can be a game changer. Such ability can be developed and nurtured by utilizing BA which is designed to help business executives and policymakers make well-thought and informed decisions. This paper is one of the first attempts to develop practical guidelines for the successful implementation of BA based on the exploratory study of BA practices among the Korean firms.
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Chukwuma Nnaji, John Gambatese, Ali Karakhan and Chinweike Eseonu
Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction…
Abstract
Purpose
Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction industry is limited. One reason for the constrained adoption of safety technologies is the lack of empirical information for mitigating the risk of a failed adoption. The purpose of this paper is to fill the research gap through identifying key factors that predict successful adoption of safety technologies.
Design/methodology/approach
In total, 26 key technology adoption predictors were identified and classified using a combination of literature review and an expert panel. The level of influence for each identified safety technology adoption predictor was assessed and ranked using the Relative Importance Index. Analysis of variance was performed as well to assess the potential difference in perceived level of importance for the predictors when the study participants were clustered according to work experience and company size.
Findings
Statistical analysis indicates that 12 out of the 26 predictors identified are highly influential regarding technology adoption decision-making in construction. Technology reliability, effectiveness and durability were ranked as the most influential predictors. The participants who work for small companies and who had less than ten years of experience rated individual- and technology-related predictors significantly lower than the experienced participants working for medium and large companies.
Practical implications
The present study provides construction researchers and practitioners with valuable information regarding safety technology predictors and their magnitude, both of which are essential elements of a successful safety technology adoption process. Improved technology adoption can enhance workplace safety and minimize worker injuries, providing substantial benefits to the construction industry.
Originality/value
This study contributes to technology adoption knowledge by identifying and quantifying the influential predictors of safety technologies in relation to different organizational contexts. The study informs the need to develop an integrated conceptual model for safety technology adoption.
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