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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Milad Dehghani, Atefeh Mashatan and Ryan William Kennedy
Understanding a technology’s patent landscape, including patent strategies, helps organizations position themselves regarding their innovation and provides insight about a…
Abstract
Purpose
Understanding a technology’s patent landscape, including patent strategies, helps organizations position themselves regarding their innovation and provides insight about a technology’s future direction. This study aims to provide an overview of the blockchain technology patenting trends and outlines an exploratory framework of patenting strategies for blockchain.
Design/methodology/approach
A total of 3,234 registered patents are analyzed to determine the geographical distribution and identify key actors patenting around the globe. In addition, an empirical study consisting of multiple case studies in the form of ten in-depth interviews with owners/managers of organizations based in North America was conducted to understand organizations’ strategies for patenting the blockchain technology.
Findings
Several novel insights regarding the strategies are used for blockchain technology patenting. For example, the existence of strong anti-patent sentiment which results in a lack of patenting by start-up organizations or has led to a form of open source patenting strategy. Larger organizations appear to be patenting defensively, and small to medium organizations are primarily patenting to defend their competitive advantage.
Practical implications
Start-up organizations harboring anti-patent sentiment should consider the open-source patenting strategy to ensure that the collaborative innovation network can continue. They should also consider collaborating with other actors within the network to have a competitive position in the market.
Originality/value
To the authors’ knowledge, this paper is the first to conduct an empirical study with organizations currently using the blockchain technology to understand patenting strategies used for blockchain.
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Milad Dehghani, A. Mohammed Abubakar and Mohsen Pashna
The purpose of this paper is to identify and describe the drivers of lean approaches and successful management of wearable technology start-ups. The paper is a descriptive study…
Abstract
The purpose of this paper is to identify and describe the drivers of lean approaches and successful management of wearable technology start-ups. The paper is a descriptive study that employed a case study methodology based on semi-structured interviews with ten start-ups’ managers in Wearable Technology 2017 conference. Participants were selected based on convenience sampling and the pre-set criteria. The current study contributes to this field through the main findings, which suggest that four stages need to be considered by starts-up for a successful market readiness, including the time of entry and overcoming market entry barriers, product attributes, product development process, and commercialization. Finally, findings were categorized in the form of an iterative learning loop model and also, practical strategies and methods were recommended for successfully going through each stage.
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Milad Dehghani, Anna Popova and Shahin Gheitanchi
This study aims to blockchain facilitate information sharing among different players in the food industry, such as farmers, food suppliers and investors, enabling an effective…
Abstract
Purpose
This study aims to blockchain facilitate information sharing among different players in the food industry, such as farmers, food suppliers and investors, enabling an effective decision-making process where the information about goods is traceable without any inherent risk. Although blockchain technology is emerging, its use in the food industry needs to be explored from different angles, such as organizations’ policy, adoption strategies and potential technology innovations which could positively impact business processes.
Design/methodology/approach
For this purpose, the authors survey 84 organizations in the food industry. Further, the authors conducted in-depth- interviews with three organizations that applied blockchain technology in the production phase to address the pros and cons of this adaption and discuss how the technology could be improved based on the challenges they faced. Moreover, an overview of current and potential digital transformation uses cases of blockchain technology in the food industry has been provided.
Findings
The results suggested that perceived efficiency, transparency, standardization and platform development and traceability factors positively influenced intention to use (ITU).
Practical implications
The adoption of the blockchain cloud solution is neither time-consuming nor expensive; organizations may attempt to predict how regulations or standards will be developed to create a blockchain solution compatible with them.
Originality/value
This study is among the primary studies investigating the role of blockchain technology in the food sector from the organizations’ viewpoint, highlighting the factors influencing the ITU.
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Asad Ullah Khan, Saeed Ullah Jan, Muhammad Naeem Khan, Fazeelat Aziz, Jan Muhammad Sohu, Johar Ali, Maqbool Khan and Sohail Raza Chohan
Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve…
Abstract
Purpose
Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.
Design/methodology/approach
Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.
Findings
The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.
Originality/value
Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.