Adoption Literature Research Articles

The impact of perceived crisis severity on intention to use voluntary proximity tracing applications

During a crisis such as COVID-19, governments ask citizens to adopt various precautionary behaviours, such as using a voluntary proximity tracing application (PTA) for smartphones. However, the willingness of individual citizens to use such an app is crucial. Crisis decision theory can be used to better understand how individuals assess the severity of the crisis and how they decide whether or not to adopt the precautionary behaviour. We propose a research model to examine the direct influence of perceived crisis severity on intention to use the technology, as well as the indirect impact via PTAs’ benefits for citizens. Exploratory and confirmatory factor analyses confirm the two dimensions of the benefits, namely personal and societal benefits. We used PLS-MGA to evaluate our research model. The results confirm the influence of the perceived severity of COVID-19 on the intention to use the PTA, as well as the mediating effects of personal and societal benefits on this relationship. Our findings contribute to the technology adoption literature and showcase the use of crisis decision theory in the field of information systems.

Critical success factors influencing artificial intelligence adoption in food supply chains

The adoption of Artificial Intelligence (AI) in the food supply chains (FSC) can address unique challenges of food safety, quality and wastage by improving transparency and traceability. However, the technology adoption literature in FSC is still the in infancy stage, meaning little is known about the critical success factors (CSFs) that could affect the adoption of AI in FSC. Therefore, this study makes a pioneering attempt by examining the CSFs influencing the adoption of AI in the Food Supply Chain (FSC). A conceptual framework based on TOEH (Technology–Organisation–Environment–Human) theory is used to determine the CSFs influencing AI adoption in the context of Indian FSC. The rough-SWARA technique was used to rank and prioritise the CSFs for AI adoption using the relative importance weights. The results of the study indicate that technology readiness, security, privacy, customer satisfaction, perceived benefits, demand volatility, regulatory compliance, competitor pressure and information sharing among partners are the most significant CSFs for adopting AI in FSC. The findings of the study would be useful for AI technology providers, supply chain specialists and government agencies in framing appropriate policies to foster the adoption of AI in FSC the sector.

Adoption of online streaming services: moderating role of personality traits

PurposeThe purpose of this paper is to study the adoption of online streaming services from the technology acceptance perspective. A conceptual model incorporating personality traits with the technology acceptance model (TAM) is proposed and tested to predict user's intention to use online streaming services. Apart from the direct effects of personality traits on TAM variables, the study also examines the moderating effect of personality traits on TAM relationships.Design/methodology/approachTo test the proposed model, a structured questionnaire was developed by adapting existing scales for the constructs to suit the online streaming services context. The data for the study were collected from online streaming services users in India. The model was tested using structural equation modeling using AMOS 18. Moderation analysis was performed using the PROCESS MACRO.FindingsThe findings suggest that perceived ease of use, subjective norms and technology anxiety affect intention to use online streaming services. Self-efficacy was found to affect perceived ease of use positively, and technology anxiety was found to have a negative effect on perceived usefulness. The results also evidenced the moderating role of self-efficacy and technology anxiety.Originality/valueThe paper explores the adoption of online streaming services from the technology acceptance perspective. Further, very few studies have examined the moderating role of personality traits in technology adoption. This paper attempts to fill this gap. It expands the understanding of technology adoption literature by assessing the direct as well as moderating effect of personality traits.

Yes, but not now! Why some users procrastinate in adopting digital product updates

Users of digital products (such as mobile apps or software) are frequently offered new versions in the form of updates. While updates can deliver benefits, they may also interfere with the ongoing use of digital products. We investigate why digital product users might delay implementing adoption intentions (which we term adoption procrastination) of updates. Three experimental studies show that while users may intend to adopt new versions, they deliberately delay adopting them under certain conditions. Specifically, we identify how perceived changes in the new version can trigger annoyance, leading to adoption procrastination. We further identify anticipated inaction regret as a counteracting mechanism, which reduces adoption procrastination. Our research makes theoretical and empirical contributions to consumer innovation adoption literature. First, we introduce the novel concept of adoption procrastination, expanding previously examined adoption-related decisions. Second, we propose and empirically test cognitive and affective mechanisms determining digital product users’ adoption procrastination.

Unfolding factors behind internet-banking adoption in Bangladesh: An extension of UTAUT2 with perceived security and trust

Over the last decade, Internet banking is making its own acceptance worldwide including both economically stable as well as in developing countries. Though an ample amount of research on Internet banking (IB) adoption is accessible in developed countries and in some developing countries, it is scant in Bangladesh. Therefore, the aim this study is to analyze the predictors that influences customers in IB adoption in Bangladesh. Incorporating two external variables, namely perceived technology security (PTS) and trust with the UTAUT2, a survey questionnaire was developed and distributed among Bangladeshi customers using online platforms. Using convenience sampling method as a nonprobability sampling technique, a total 280 responses were gathered in an online survey and analyzed following PLS-SEM strategy. This study revealed that PTS, performance expectancy, trust, effort expectancy (EE), social influence (SI), facilitating conditions (FC), price value (PV), and hedonic motivation (HM) have significant influences on IB adoption in the Bangladesh context while habit (HT) has found insignificant. Further, while we investigated the gender differences between the relationships of exogenous and endogenous constructs using PLS-MGA (multi-group-analysis), we found that trust, HT, PV, EE, and FC are significant for female whereas PTS, SI, and PE are significant for male respondents. Gender also moderates the relationships between HT and IB adoption, and, trust and IB adoption. This study contributes in the literature of IB adoption as well as offers some valuable implications for Banks in developing country to increase the IB adoption.

From enfant terrible to problem-solver? Tracing the competing discourse to explain blockchain-related technological diffusion

Since the inception of blockchain-related technologies over a decade ago, investors’ uptake of the technologies has grown rapidly. But even with the advancement in standing from conceptual beginnings to real-world experimentation, mainstream adoption of the technologies in either organizational or individual contexts has yet to eventuate. To resolve this paradox, we examine progression of the technologies’ diffusion instead, and in the process, seek to uncover the underlying dynamics of sentiments at play. Diffusion involves multiple actions by different parties, with social discourses via diverse media playing an essential role. In demonstrating the interplay of support to resistance via media framing and the diffusion of innovation theory, findings from our paper contribute to the technology adoption literature. Understanding resistant behavior toward a new technology area could help resolve potential issues that may arise. This would hopefully lead to better technological implementation outcomes in future.

What drives continuance intention of disruptive technological innovation? The case of e-business microcredit in China

ABSTRACT Users’ continuance intention to use plays a key role in realising disruptive technology innovation. Drawing from expectation – confirmation theory, this study integrates perceived value, trust, and habit to investigate how they affect users’ continuance intention to use disruptive technology innovation by using a questionnaire survey of 247 e-business microcredit users in China. The results indicate that perceived value and trust have an independent positive effect on users’ satisfaction and continuance intention to use, satisfaction has a positive effect on users’ continuance intention to use, and habit moderates negatively the relationship between perceived value and users’ continuance intention to use. The findings contribute to the literature of disruptive technology innovation, innovation adoption, and post adoption behaviour, and shed light on continuers’ behaviour of disruptive technology innovation.

Bibliometric analysis of technology adoption literature published from 1997 to 2020

With the rapid development of emerging technologies, research on technology adoption is valuable for improving the reception efficiency of new technologies. This paper uses bibliometric analysis methods and visualization software to explore the research stages, the hot issues, the limitations of the research and the future fronts. A total of 11,706 documents were collected as the original data using the retrieval formulas. Sorted by the numbers of citations, the top 10% of the documents are extracted as the top-cited documents. First, combining software and bibliometric analysis, we obtain the annual development trends and identify the productive countries/regions, the influential institutions and the high-yielding authors. In addition, we overview the representative authors and their works in the development of technology adoption. Then, we conduct keyword analysis and burstiness analysis to identify the academic hotspots, research fronts and limitations in this field. The results show that increasingly more researches have shifted from theories to applications. Technology adoption has multiple applications in the fields of online shopping, mobile learning, mobile banking, e-learning and health care delivery. Finally, we draw conclusions on the bibliometric findings and forecast the future research trends of technology adoption. In the future, more researches will focus on the impacts of age, gender, culture, and the environment on technology adoption.

Unveiling the complexity of consumers’ intention to use service robots: An fsQCA approach

Despite the growing body of research exploring factors associated with service robot adoption, the existing comprehension of this emerging technology remains largely fragmented. Previous studies have largely focused on the “net effect” between variables, leaving the complexity of consumer behavior uninvestigated. Building on relevant literature and complexity theory, this study intends to consolidate the fragmented views of service robot adoption literature by examining how human-likeness (i.e., anthropomorphism and perceived intelligence), technology-likeness (i.e., performance expectancy, hedonic motivation, and privacy risks), and consumer personalities (i.e., extraversion and openness to experience) combined as causal configurations to explain the behavioral intention to use service robots. Fuzzy set qualitative comparative analysis (fsQCA) was employed to analyze data from a sample of 566 Taiwanese consumers. The results from fsQCA results suggest that multiple, distinct, and equally effective combinations of human-like, technology-like, and consumer features exist to achieve high intention to use service robots. Four solutions are presented that lead to high adoption intention. This study contributes to the artificial intelligence literature by adopting a novel methodological approach to unveil the complexity behind the adoption of service robots. It also offers practical guidance for robot manufacturers and service managers to optimize the combination of human-likeness and technology-likeness in correspondence to consumer personalities for a successful service robots’ implementation.

Macroeconomic evidence on the impact of mandatory IFRS adoption on FDI in the Gulf Cooperation Council (GCC) countries

PurposeThe present paper seeks to investigate the impact of International Financial Reporting Standards (IFRS) adoption on the foreign direct investment (FDI) in the Gulf Cooperation Council (GCC) region for the period 1980–2017. This study relies on the information asymmetry theory, according to which IFRS adoption, as a positive signal for investors, should attract more FDI. This research is crucial and presents an interesting framework for providing a major motivation for empirical insights since the macroeconomic evidence on the impact of IFRS adoption on FDI is still unclear in the GCC region and no empirical evidence has been provided in the existing related literature.Design/methodology/approachThe analysis was conducted based on panel data from GCC countries over the period 1980–2017 and using the autoregressive distributed lag (ARDL) modeling approach and the pooled mean group (PMG) estimation method.FindingsThe findings indicate that the decision of adopting IFRS in GCC countries has a positive impact of 3% on FDI inflows in the short run. However, the adoption of IFRS in the region leads to a decrease of 10.4 % in FDI inflows in the long run.Practical implicationsThese findings should be of a major interest to regulators and policymakers in GCC countries, practitioners and academic researchers, international investors, managers and any other interested groups about the accounting environment in GCC countries and other developing countries having an interest in the economic consequences of IFRS adoption, as a driver of FDI, in developing countries.Originality/valueThis investigation provides original empirical evidence on the effect of IFRS adoption on FDI inflows within the context of the GCC area. In fact, the current international literature is lacking empirical evidence on the effect of IFRS adoption on FDI inflows for the GCC countries as a whole. Furthermore, this study offers an original methodological contribution to the macroeconomic impact of IFRS adoption literature by using the PMG estimator since there has been no research works to date that has used this method of estimation.

Sustainable rice production in Myanmar impacts on food security and livelihood changes

ABSTRACT In Myanmar, 70% of the rural population engages in rice farming for their livelihoods. Since 2013, the government and development projects have introduced a variety of sustainable rice cultivation practices such as improved fertilizer-, water-, pest- and post-harvest management. A mixed method approach was used to gain a better understanding of adoption behaviour and livelihood changes. One hundred and twenty nine farmers participated in the study which revealed the adoption of sustainable practices; reasons include higher yields, reduced costs and labour savings. Reasons for non-adoption included unsuitable or expensive practices. We find that profitability analysis and partial budgeting calculations revealed an estimated increase in income (>0) of 113 USD/ha (SD = 90.64 USD/ha), due to an increase in yield and reduced costs. Furthermore, in-depth interviews revealed that farmers (n = 32) used this extra income for religious and social activities, for food, health care and education. They were able to expand their farm business and produce rice more sustainably. The paper thus contributes to the adoption literature by linking development project outputs to outcomes and impact. Concerted efforts by the government and development projects can enable farmers to produce cereals more sustainably and experience positive changes to their livelihoods and strengthen rural development at local and regional level.

E-Commerce Adoption in Egypt Insights from COVID-19 and Beyond

This Paper aims to review IT adoption literature to gain insights on E-Commerce adoption in Egypt, while focusing on various impacts of COVID-19 pandemic on E-Commerce and related e-services considering these impacts in Egypt. IT adoption literature was reviewed concerning E-Commerce adoption levels highlighting evidence from Egypt. Impact of COVID-19 on economy, e-commerce and related e-services was reviewed both on seller and consumer side. Impact of COVID-19 on e-commerce and related e-services in Egypt was then reviewed. Actions taken by Egyptian government in this essence in response to COVID-19 was addressed. Finally, recommendations to leverage e-commerce during COVID-19 crisis and beyond are addressed

Multidimensional behavioral responses to the implementation of BIM in construction projects: an empirical study in China

PurposeDespite its great potential to improve the sustainability of architectural, engineering, construction and facility management activities, the implementation of building information modeling (BIM) in many projects has failed to achieve expected benefits due to negative behavioral responses such as user resistance. This paper aims to characterize the complexity of end user's behavioral responses to BIM implementation in construction projects using a multidimensional perspective and examines how these responses are impacted by different levels of contextual factors.Design/methodology/approachBy integrating technology acceptance, resistance and adoption literature, this paper theoretically proposes a research model to characterize the associations between different dimensions of behavioral responses and different levels of contextual factors. The model is then empirically tested with survey and interview data collected from BIM-based construction projects in China.FindingsThe empirical results not only validate the two-dimensional view of the behavioral responses (i.e. the dimension of support/resistance that ranges from aggressive resistance to enthusiastic support, and the dimension of actual use that ranges from non-use to high use) but also provide evidence for the prevalence of ambivalent responses such as supporting but lowly using and resisting but highly using. The empirical results also provide evidence that different levels of contextual factors generally play different roles in shaping the behavioral responses. Specifically, the dimension of support/resistance is more substantially impacted by the team-level factor while the dimension of actual use of BIM is more significantly associated with the project-level factor.Originality/valueWhile previous research on BIM adoption or implementation behaviors has primarily focused on investigating users' response from single-dimension perspectives such as acceptance or non-acceptance, this study represents an exploratory effort of using a two-dimensional view to characterize the complexity and ambivalence of end users' behavioral responses to the implementation of innovative technologies such as BIM in construction projects. This study also contributes to deepened understandings of how these different dimensions of behavioral responses are intricately shaped by different levels (i.e. individual-, team- and project-levels) of contextual factors in construction projects which are characterized as temporary and inter-organizational.

Why do consumers choose to buy electric vehicles? A paired data analysis of purchase intention configurations

Understanding the driving factors associated with electric vehicle (EV) purchases is a prerequisite for governments and firms to develop corresponding policy interventions and marketing strategies. However, prior studies primarily focus on the individual role of psychological and policy attributes, and there has been limited research on how the combinations or configurations of psychological and policy attributes jointly influence consumers’ EV purchase intentions. To fill this gap, we draw on the configurational theory to develop a research framework by integrating three psychological attributes (i.e., attitude, subjective norms, and perceived behavioral control) and four policy attributes (i.e., purchase subsidies, license plate control, preferential usage, and preferential driving). We build a paired dataset with both qualitative and quantitative data. Using the fuzzy-set qualitative comparative analysis (fsQCA) approach, the empirical results from China reveal that configurations of attributes that lead to high EV purchase intention always include at least one psychological attribute. In contrast, even if a government has implemented purchase subsidies, the joint absences of attitude, subjective norms, and perceived behavioral control lead to low EV purchase intention. We also provide interesting insights into different sociodemographic characteristics. We contribute to EV adoption literature by revealing the configurations of attributes associated with EV purchase intention from a new theoretical perspective. Our findings assist policymakers in developing potential alternatives when faced with policy adjustment.

Technology adoption in the apparel industry: insight from literature review and research directions

PurposeThis paper aims to identify key theoretical cornerstones and research trends in the apparel industry. It also compares theoretical bases with those of the general research domain in technology adoption literature and, thus, provides future policy guidelines for practitioners and research gaps for further studies.Design/methodology/approachDocuments were collected from the Web of Science (core collection) database using systematic methods. The bibliometric coupling and co-citation analyses were conducted using VOSviewer software to construct theoretical cornerstones and research trends in the apparel industry.FindingsLiterature in the apparel industry focuses mainly on the diffusion of innovation and the theory of reasoned action. Hence, the literature lacks investigations of technology–organization–environment and institutional theories for technology adoption in the apparel industry. This study also traces six clusters of prevalent research trends: radiofrequency identification, virtual-try on technology for e-commerce, computer-aided design, Industry 4.0 technologies, virtual-try on technology in design and information technology.Originality/valueLittle research is done on theoretical cornerstones on technology adoption in the apparel industry. This study looks into the theoretical bases for technology adoption, research trends in the apparel supply chain and calls for future research necessities.

Mobile games adoption: An extension of technology acceptance model and theory of reasoned action

This study aims to analyze the effect of game features and trust on the intention to play mobile games based on the technology acceptance model and theory of reasoned action. 408 respondents were engaged in this study to obtain the data which were then analyzed using PLS-SEM. The results show that game features, attitude, and subjective norms are the significant determinants of intention to play mobile games. Attitude toward playing online games is influenced by game features, perceived usefulness, and trust. Perceived ease of use does not have a significant effect on attitude. This study bridges the gap in the mobile game adoption literature by explaining how the relationship between game features and trust. This will drive the intention to play mobile games based on the technology acceptance model and theory of reasoned action to obtain a more comprehensive explanation of mobile game adoption.

Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory

AbstractPowered by artificial intelligence (AI), autonomous vehicles (AVs) are one of the most disruptive technologies to reduce road incidents, improve road efficiency and enhance mobility for underserved populations. However, existing literature of AV adoption is either based on descriptive analysis or simple applications of conventional behavioral frameworks. Drawing on behavioral reasoning theory (BRT), we examine the effect of reasoning process on consumers' attitudes and intentions toward adopting AVs, and how their psychological traits moderates the relationships. By conducting a nationwide survey in China (n = 849), we identify positive (negative) effects of individuals' reasons for (against) adopting AVs on their adoption intentions for AVs, and positive influence of face consciousness on the reasoning process. More importantly, we find that the psychological trait of need for uniqueness strengthens the association between consumers' reasoning for AVs and their adoption intention, while the risk aversion trait intensifies the negative relationships between consumers' reasoning against AVs and their attitude/adoption intention. We contribute to the literature of AI adoption by establishing the important roles of consumers' reasons for and against such innovations. We also extend the BRT framework by identifying the roles of psychological traits in moderating the relationships among reasoning, attitude, and adoption intention.

On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China

China is currently the world's biggest electric vehicle (EV) market, in which mostly mature consumers in first-tier cities are buying EVs. However, the changing market and policy environment are challenging the sustainability of this trend. This study conducts a nationwide stated preference (SP) experiment in China to examine preference heterogeneity towards EVs across (1) different generations and (2) different tiers of cities. Discrete choice analysis reveals that the tier of cities has a significant effect on adoption preferences for EVs. Surprisingly, consumers in smaller cities exhibit stronger preference for EVs, while an insignificant difference in preference is found between consumers of different generations. The interaction effect between the tier of cities and the generations further demonstrates that younger consumers in small cities most prefer EVs. This can be explained by their evaluations of the psychosocial advantages of EVs and their aspiration for a future of EV-based mobility. This research contributes to the broad literature of technology adoption, but more specifically, the research offers new insights on consumers’ EV preference heterogeneity with respect to geographic and demographic dimensions. The study has important business and policy implications relating to the EV transition in China in consideration of the two tested dimensions.

The internet of things in the food supply chain: adoption challenges

PurposeThe food supply chain (FSC) challenges coupled with global disruptions, such as the recent coronavirus disease 2019 (COVID-19) pandemic outbreak, exacerbate its vulnerability. The Internet of things (IoT) is one of the disruptive technologies being adopted in food supply chain management (FSCM). This study aims to address the challenges of IoT adoption in the FSC by systematically analyzing the prior pertinent literature.Design/methodology/approachA structured literature review was used to collate a list of peer-reviewed and relevant publications. A total of 72 out of 210 articles were selected for the final evaluation.FindingsThe literature review findings suggest five themes: technical, financial, social, operational, educational and governmental related challenges. A total of 15 challenges were devised from the review related literature of IoT adoption. The study concludes with future research recommendations for scholars and practical implications for practitioners.Research limitations/implicationsWhile this study focuses on the overall FSC, further research should address other domains in the FSC such as cold supply chain, agriculture and perishable food to gain a better contextual understanding of the specific case.Originality/valueThe topic of IoT adoption in the FSCM is still considered emerging. Therefore, the present work contributes to the limited studies and documentation on the level of IoT implementation in the FSCM. This study should help organizations to assimilate how to adopt and manage the IoT application by addressing the factors and challenges presented in this research.

Factors affecting electronic invoice adoption and tax compliance process efficiency

PurposeThe purpose of this study is to examine the factors that affect the adoption of electronic invoices and in turn the impact of these factors on the tax compliance process efficiency of companies.Design/methodology/approachA questionnaire survey was distributed to 276 users who adopted electronic invoicing. Partial least squares regression was used to analyze the collected data.FindingsThis study found that perceived benefits and trust in e-government had a positive influence on the adoption of electronic invoices. At the same time, the adoption of electronic invoice was found to have a positive impact on the overall efficiency of the tax compliance process. Moreover, the factors affecting adoption of electronic invoices can have a mediating effect on that adoption and tax compliance process efficiency.Research limitations/implicationsThis study only explored these influencing factors on companies that have adopted electronic invoicing. Future research should distinguish between adopters and non-adopters.Practical implicationsThe results of this study can guide tax authorities and other electronic invoice suppliers when promoting the adoption of electronic invoicing.Social implicationsThis research can provide guidance to tax authorities to improve their own electronic invoice system by creating a workforce that have the skills to strengthen citizen’s trust in the electronic invoice system.Originality/valueThis study contributes to the electronic adoption literature by examining those factors that impact tax compliance processes efficiency.