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Blockchain technologies have received considerable attention from academia and industry due to their distinctive characteristics, such as data integrity, security, decentralization, and reliability. However, their adoption rate is still scarce, which is one of the primary reasons behind conducting studies related to users’ satisfaction and adoption. Determining what impacts the use and adoption of Blockchain technologies can efficiently address their adoption challenges. Hence, this systematic review aimed to review studies published on Blockchain technologies to offer a thorough understanding of what impacts their adoption and discuss the main challenges and opportunities across various sectors. From 902 studies collected, 30 empirical studies met the eligibility criteria and were thoroughly analyzed. The results confirmed that the technology acceptance model (TAM) and technology–organization–environment (TOE) were the most common models for studying Blockchain adoption. Apart from the core variables of these two models, the results indicated that trust, perceived cost, social influence, and facilitating conditions were the significant determinants influencing several Blockchain applications. The results also revealed that supply chain management is the main domain in which Blockchain applications were adopted. Further, the results indicated inadequate exposure to studying the actual use of Blockchain technologies and their continued use. It is also essential to report that existing studies have examined the adoption of Blockchain technologies from the lens of the organizational level, with little attention paid to the individual level. This review is believed to improve our understanding by revealing the full potential of Blockchain adoption and opening the door for further research opportunities.

This paper studies government subsidies for green technology adoption while considering the manufacturing industry’s response. Government subsidies offered directly to consumers impact the supplier’s production and pricing decisions. Our analysis expands the current understanding of the price-setting newsvendor model, incorporating the external influence from the government, who is now an additional player in the system. We quantify how demand uncertainty impacts the various players (government, industry, and consumers) when designing policies. We further show that, for convex demand functions, an increase in demand uncertainty leads to higher production quantities and lower prices, resulting in lower profits for the supplier. With this in mind, one could expect consumer surplus to increase with uncertainty. In fact, we show that this is not always the case and that the uncertainty impact on consumer surplus depends on the trade-off between lower prices and the possibility of underserving customers with high valuations. We also show that when policy makers such as governments ignore demand uncertainty when designing consumer subsidies, they can significantly miss the desired adoption target level. From a coordination perspective, we demonstrate that the decentralized decisions are also optimal for a central planner managing jointly the supplier and the government. As a result, subsidies provide a coordination mechanism. This paper was accepted by Yossi Aviv, operations management .

Driven by advanced voice interaction technology, the voice-user interface (VUI) has gained popularity in recent years. VUI has been integrated into various devices in the context of the smart home system. In comparison with traditional interaction methods, VUI provides multiple benefits. VUI allows for hands-free and eyes-free interaction. It also enables users to perform multiple tasks while interacting. Moreover, as VUI is highly similar to a natural conversation in daily lives, it is intuitive to learn. The advantages provided by VUI are particularly beneficial to older adults, who suffer from decreases in physical and cognitive abilities, which hinder their interaction with electronic devices through traditional methods. However, the factors that influence older adults’ adoption of VUI remain unknown. This study addresses this research gap by proposing a conceptual model. On the basis of the technology adoption model (TAM) and the senior technology adoption model (STAM), this study considers the characteristic of VUI and the characteristic of older adults through incorporating the construct of trust and aging-related characteristics (i.e., perceived physical conditions, mobile self-efficacy, technology anxiety, self-actualization). A survey was designed and conducted. A total of 420 Chinese older adults participated in this survey, and they were current or potential users of VUI. Through structural equation modeling, data were analyzed. Results showed a good fit with the proposed conceptual model. Path analysis revealed that three factors determine Chinese older adults’ adoption of VUI: perceived usefulness, perceived ease of use, and trust. Aging-related characteristics also influence older adults’ adoption of VUI, but they are mediated by perceived usefulness, perceived ease of use, and trust. Specifically, mobile self-efficacy is demonstrated to positively influence trust and perceived ease of use but negatively influence perceived usefulness. Self-actualization exhibits positive influences on perceived usefulness and perceived ease of use. Technology anxiety only exerts influence on perceived ease of use in a marginal way. No significant influences of perceived physical conditions were found. This study extends the TAM and STAM by incorporating additional variables to explain Chinese older adults’ adoption of VUI. These results also provide valuable implications for developing suitable VUI for older adults as well as planning actionable communication strategies for promoting VUI among Chinese older adults.

Objective: The objective of the article is to provide a comprehensive identification and understanding of the challenges and opportunities associated with the use of generative artificial intelligence (GAI) in business. This study sought to develop a conceptual framework that gathers the negative aspects of GAI development in management and economics, with a focus on ChatGPT. Research Design Methods: The study employed a narrative and critical literature review and developed a conceptual framework based on prior literature. We used a line of deductive reasoning in formulating our theoretical framework to make the study’s overall structure rational and productive. Therefore, this article should be viewed as a conceptual article that highlights the controversies and threats of GAI in management and economics, with ChatGPT as a case study. Findings: Based on the conducted deep and extensive query of academic literature on the subject as well as professional press and Internet portals, we identified various controversies, threats, defects, and disadvantages of GAI, in particular ChatGPT. Next, we grouped the identified threats into clusters to summarize the seven main threats we see. In our opinion they are as follows: (i) no regulation of the AI market and urgent need for regula- tion, (ii) poor quality, lack of quality control, disinformation, deepfake content, algorithmic bias, (iii) automation- spurred job losses, (iv) personal data violation, social surveillance, and privacy violation, (v) social manipulation, weakening ethics and goodwill, (vi) widening socio-economic inequalities, and (vii) AI technostress. Implications Recommendations: It is important to regulate the AI/GAI market. Advocating for the regula- tion of the AI market is crucial to ensure a level playing field, promote fair competition, protect intellectual property rights and privacy, and prevent potential geopolitical risks. The changing job market requires workers to continuously acquire new (digital) skills through education and retraining. As the training of AI systems becomes a prominent job category, it is important to adapt and take advantage of new opportunities. To mitigate the risks related to personal data violation, social surveillance, and privacy violation, GAI developers must prioritize ethical considerations and work to develop systems that prioritize user privacy and security. To avoid social manipulation and weaken ethics and goodwill, it is important to implement responsible AI practices and ethical guidelines: transparency in data usage, bias mitigation techniques, and monitoring of generated content for harmful or misleading information. Contribution Value Added: This article may aid in bringing attention to the significance of resolving the ethical and legal considerations that arise from the use of GAI and ChatGPT by drawing attention to the controversies and hazards associated with these technologies.

Although technologies spurred by the “Internet of things” are increasingly being introduced in homes, only a few studies have examined the adoption or diffusion of such household technologies. One particular area of interest in this context is electricity consumption, especially the introduction of smart metering technology (SMT) in households. Despite its growing prominence, SMT implementation has met with various challenges across the world, including limited adoption by consumers. Thus, this study empirically examines the antecedents of SMT adoption by potential consumers. Using a mixed-methods design, the study first unearths the SMT-specific antecedents, then develops a contextualized model by drawing on theories from motivational psychology and the antecedents identified earlier, and finally tests this model using a large-scale survey of German consumers. The results provide support for many of the hypotheses and highlight the importance of motivational factors and some household demographic, privacy, and innovation-related factors on consumers’ intention to adopt SMT.

We evaluate causal impacts of a large-scale agricultural extension program for smallholder women farmers on technology adoption and food security in Uganda through a regression discontinuity design that exploits an arbitrary distance-to-branch threshold for village program eligibility. We find eligible farmers used better basic cultivation methods, achieved improved food security. Given minimal changes in adoption of relatively expensive inputs, we attribute these gains to improved cultivation methods that require low upfront monetary investment. Farmers also modified their shock-coping methods. These results highlight the role of information and training in boosting agricultural productivity among poor farmers and, indirectly, improving food security.

This paper investigates the factors influencing the intention to adopt cryptocurrency payments among small to medium-sized enterprises (SMEs) in tourism and hospitality through the lens of the technology acceptance model (TAM). This paper uses an original sample of 101 SMEs employing a total of 15,831 people in Taiwan. Structural equation modeling is used to examine the joint effect of both internal and external factors influencing the intention to use cryptocurrency payments. Results show that (1) strategic orientation, owner/managers personal characteristics (self-efficacy and innovativeness) and social influence have a strong effect on the intention to adopt new technology; (2) perceived usefulness mediates the effects of strategic orientation and social influence; and (3) perceived ease of use mediates the effect of self-efficacy on the intention to adopt cryptocurrency payments. The present study is one of few empirical inquiries about cryptocurrency payment adoption among SMEs. This study extends the theoretical foundations of the TAM into the specific characteristics of SMEs. Limitations of the study are sample size and a single survey design. However, findings of this research on the cryptocurrency payment adoption offer practical implications for tourism stakeholders towards supporting SMEs competitiveness. The originality of this study is based on the fact that cryptocurrency payment is a new technology, and on the potential of cryptocurrency payments to disrupt the traditional way of operating tourism and hospitality SMEs. Hence the importance to consider major factors influencing SMEs’ intentions to adopt this technology.

PurposeThis study aims to explore the impact of supply chain governance (SCG) on supply chain resilience (SCR) in China, as well as the mediating role of supply chain finance (SCF) and the moderating role of digital technology adoption (DTA).Design/methodology/approachBased on resource orchestration theory (ROT), this paper constructs a theoretical model to examine the influence of SCG on SCR. Employing data collected from 312 Chinese firms, multiple regression is conducted to test the theoretical hypotheses.FindingsThe results indicate that both relational governance (RG) and contractual governance (CG) significantly enhance SCR and SCF. In addition, SCF plays a mediating role in the relationship between SCG and SCR. The study also finds that DTA has a positive moderating effect on the relationship between SCG and SCF.Originality/valueFirst, based on ROT, this paper clarifies the nuanced driving effects of RG and CG on SCR. Second, SCF is introduced as an intermediary process between SCG and SCR, which reveals the inner mechanisms between SCG and SCR. Moreover, this study contributes to investigating the contingent role of DTA in the relationship between SCG and SCF.

Herd literature suggests that people tend to discount their own beliefs and imitate others when making adoption decisions and that the resulting adoption decisions are fragile and can be easily reversed during the postadoptive stage. This helps explain why the adoption of a number of new technologies—from Amazon's Kindle, to Apple's iPod, ¿ Phone, and iPad, to various types of Web 2. 0 technologies—appears to have adoption patterns similar to those of new fashion trends (i.e., an initial en masse acquisition followed by subsequent abandonment). It is important to understand these phenomena because they are strongly related to the staying power of technology. From a herd behavior perspective, this study proposes two new concepts, namely discounting one's own information and imitating others, to describe herd behavior in technology adoption. A research model is developed to describe the conditions under which herd behavior in technology adoption occurs, how it impacts technology adoption decision making, and how it influences post-adoptive system use. A longitudinal study is conducted to examine the research model. Findings from this research suggest that the discounting of one's own beliefs and the imitating of others when adopting a new technology are provoked primarily by the observation of prior adoptions and perceptions of uncertainty regarding the adoption of new technology. Herd behavior has a significant influence on user technology adoption; however, it does not necessarily lead to the collapse of the user base, as predicted in the herd literature. Instead, imitation can help reduce post-adoption regret and thus serve as a legitimate strategy for choosing a good enough technology, which may or may not be the best option to enhance job performance. People tend to adjust their beliefs when herding and also to revive their discounted initial beliefs to modify their beliefs about the technology at the post-adoptive stage. Findings from this study have significant research and practical implications.

PurposeThis paper aims to map the influential concepts on technology adoption in Small and Medium Enterprises (SMEs) through conducting a systematic literature review and finding a better understanding of the current body of knowledge.Design/methodology/approachA systematic literature review approach is taken here, which includes the following steps: Determination of keywords and strings, selection of databases, setting inclusion and exclusion criteria, conducting the search in chosen databases over a specific period of time. This process has led to the final count of 349 peer-reviewed articles being studied, and the results are analyzed quantitatively and qualitatively.FindingsAs a result of the study, 11 categories of influential concepts on technology adoption are identified by reviewing literature from the past decade. This article indicates how fragmented the literature is and how it concentrates on studying the impact of only a limited number of categories of concepts. The scatted frameworks (theoretical and conceptual) and weak application of the used theories found in this research also highlight the need for the development of a framework that looks into technology adoption as a dynamic process due to the dynamic nature of new technologies today.Research limitations/implicationsBased on the above findings, future research avenues are to look into technology adoption from a process perspective, to dig into less researched influencing concepts such as infrastructure, regulations, strategy and resources and their role in adoption of technology in SMEs as well as development of a framework for technology adoption that is aligned with these elements.Practical implicationsPractitioners and policymakers will benefit from finding a helicopter view of the barriers and supporting factors throughout their technology adoption journey. The knowledge they gain from this study will better prepare them in building tools they need for adopting technology in their organizations and provide an in-depth insight to what elements can affect their journey.Originality/valueThis review provides an insight into the current body of knowledge on the topic, which researchers can benefit from constructing an in-depth understanding of the state of research as well as influencing concepts of technology adoption in SMEs. Moreover, it adds value in building up the knowledge of technology adoption in today's dynamic world of digitalization.