scholarly journals A PROPOSITION OF AN EMERGING TECHNOLOGIES EXPECTATIONS MODEL: AN EXAMPLE OF STUDENT ATTITUDES TOWARDS BLOCKCHAIN

2021 ◽  
Vol 0 (0) ◽  
pp. 1-30
Author(s):  
Dariusz Dymek ◽  
Mariusz Grabowski ◽  
Grażyna Paliwoda-Pękosz

The paper proposes an Emerging Technologies Expectations Model (ETEM) that aims at explaining the differences in perception of new technologies as well as the expectations towards them. These Expectations, classified into Technology Evolution, Technology Revolution, Social Evolution and Social Revolution are explained by Knowledge and Usage that in turn are shaped by Information Sources. The Information Sources factor, which influences both Expectations and Knowledge, and the Usage factor both play an important role in the model. The application of this model was illustrated using blockchain as an example of an emerging technology, and data from a survey conducted among IT university students in Cracow, Poland. The proposed model contributes to filling the research gap concerning a comprehensive explanation of people’s expectations towards emerging technologies, considering the way people absorb knowledge and undertake the usage of technology based on various information sources. It also provides practical implications, since the knowledge of the factors that can influence people’s expectations towards emerging technologies might be useful in shaping these expectations.

2019 ◽  
Vol 11 (5) ◽  
pp. 566-581 ◽  
Author(s):  
Hugues Seraphin ◽  
Vanessa Gowreesunkar ◽  
Mustafeed Zaman ◽  
Thierry Lorey

Purpose Many tourism destinations are now facing the problem of overtourism, and destination management organisations (DMOs) are in search of an effective and sustainable solution. With this as a foundation, the purpose of this study is to identify factors causing overtourism at popular tourism destinations and to propose an alternative solution to overcome this phenomenon. Design/methodology/approach The research design is based on an inductive and a deductive approach. The paper draws its conclusion from secondary and tertiary data (literature review and online research). Findings The study shows that Trexit (tourism exit) is not a sustainable solution to overtourism and that an alternative strategy may be adopted to tackle this phenomenon. The overall outcome shows that if sociological factors, business factors, technological and economic factors are addressed, the effect of overtourism may be managed and controlled. Practical implications The findings of this piece of research refer to a Just-in-Time strategy for managing overtourism. The findings could be useful to practitioners, as the study proposes an alternative means to overcome overtourism and manage destinations without affecting visitor flow and profitability. Originality/value This research fulfils an existing research gap, as it proposes an alternative solution to tackle overtourism. The proposed model also helps to provide a broader insight of the dynamics surrounding overtourism at tourism destinations. In so doing, it advances the existing body of knowledge by providing new inputs to a topic that has not been discussed, namely, Trexit or tourism exit.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Othman Ibrahim Altwijry ◽  
Mustafa Omar Mohammed ◽  
M. Kabir Hassan ◽  
Mohammad Selim

Purpose The purpose of this study is to develop and thereafter validate a Sharīʿah-based FinTech Money Creation Free [SFMCF] model for Islamic banking. Design/methodology/approach The study has adopted a qualitative research methodology, using three approaches, namely, a survey of the literature to identify the research gap and the variables needed for developing the model, content analysis to construct the variables into a model and semi-structured interview with 10 experts in banking, Sharīʿah and Financial Technology (FinTech) to validate the SFMCF model. Findings The major findings of the study lie in developing the SFMCF model for Islamic banking, empirical validation of the model’s viability and acceptability and the implications for the main stakeholders of Islamic banks. Research limitations/implications The SFMCF model is specific to Islamic banking and its validation is based on the views of 10 experts. Practical implications The SFMCF would necessitate changes to the central bank regulatory framework, convince Islamic banks to forego their powers and advantages of creating money and enhance their abilities to fully adopt Sharīʿah-compliant FinTech. Social implications The proposed model if implemented would change positively the perception of the society particularly the stakeholders of Islamic banks and restore their trust and confidence about the direction of the institution toward achieving the Sharīʿah objectives. Originality/value The novelty of this work lies in developing and validating the viability and acceptability of the SFMCF model for Islamic banking.


Emerging technologies have always played an important role in armed conflict. From the crossbow to cyber capabilities, technology that could be weaponized to create an advantage over an adversary has inevitably found its way into military arsenals for use in armed conflict. The weaponization of emerging technologies, however, raises challenging legal issues with respect to the law of armed conflict. As States continue to develop and exploit new technologies, how will the law of armed conflict address the use of these technologies on the battlefield? Is existing law sufficient to regulate new technologies, such as cyber capabilities, autonomous weapons systems, and artificial intelligence? Have emerging technologies fundamentally altered the way we should understand concepts such as law-of-war precautions and the principle of distinction? How can we ensure compliance and accountability in light of technological advancement? This book explores these critical questions while highlighting the legal challenges—and opportunities—presented by the use of emerging technologies on the battlefield.


2021 ◽  
Vol 13 (11) ◽  
pp. 6372
Author(s):  
Vincenzo Varriale ◽  
Antonello Cammarano ◽  
Francesca Michelino ◽  
Mauro Caputo

The digital transformation of supply chains should revolutionize entire management processes and improve various aspects of sustainability. In particular, the plans of Industry 4.0 aim towards a digitization of several procedures by exploiting emerging technologies such as the Internet of Things, RFID and blockchain. The purpose of this study is to highlight how order and disruption events processes can be improved with the adoption of emerging technologies and how this reflects on the improvement of sustainability aspects. The study is based on the comparison of two simulation scenarios between three actors in the cheese supply chain. In particular, a first traditional scenario “as is” is simulated without the use of new technologies and is compared to a second scenario “to be” that adopts IoT, RFID and blockchain. The results show an improvement in time performance for managing both perfect and non-compliant orders. The developed framework highlights the impact of new technologies on sustainability aspects, showing further managerial implications.


2021 ◽  
pp. 1-24
Author(s):  
Hauthikim Do ◽  
Chee Chuong Sum

Abstract Globally, organizations are increasingly embracing corporate social responsibility (CSR) to strengthen competitive advantage. Although CSR is recognized to be context-sensitive, the literature is still lacking studies that examine CSR in different contexts, particularly non-western ones. Our study adds to a deeper understanding of CSR in Vietnam by identifying the predictors of CSR attitudes of business students. Vietnam has rich cultural, social, and economic characteristics that offer new theoretical perspectives and insights on the contextual nature of CSR. Our findings showed that CSR attitudes related positively to idealism and student seniority, and negatively to materialism and male students. A positive CSR–relativism relationship was uncovered. Spirituality related positively to the importance of CSR to business sustainability and negatively to CSR's importance to short-term competitiveness. The findings have theoretical and practical implications on the understanding and practice of CSR that would benefit CSR researchers, business organizations, and education institutions.


Author(s):  
Alexander Gleiss ◽  
Marco Kohlhagen ◽  
Key Pousttchi

AbstractThe healthcare industry has been slow to adopt new technologies and practices. However, digital and data-enabled innovations diffuse the market, and the COVID-19 pandemic has recently emphasized the necessity of a fundamental digital transformation. Available research indicates the relevance of digital platforms in this process but has not studied their economic impact to date. In view of this research gap and the social and economic relevance of healthcare, we explore how digital platforms might affect value creation in this market with a particular focus on Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). We rely on value network analyses to examine how GAFAM platforms introduce new value-creating roles and mechanisms in healthcare through their manifold products and services. Hereupon, we examine the GAFAM-impact on healthcare by scrutinizing the facilitators, activities, and effects. Our analyses show how GAFAM platforms multifacetedly untie conventional relationships and transform value creation structures in the healthcare market.


2021 ◽  
Vol 16 (4) ◽  
pp. 846-858
Author(s):  
Matthias Klumpp ◽  
Dominic Loske

Order picking is a crucial but labor- and cost-intensive activity in the retail logistics and e-commerce domain. Comprehensive changes are implemented in this field due to new technologies like AI and automation. Nevertheless, human worker’s activities will be required for quite some time in the future. This fosters the necessity of evaluating manual picker-to-part operations. We apply the non-parametric Data Envelopment Analysis (DEA) to evaluate the efficiency of n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). We use distance per location, picks per location, as well as volume per SKU as inputs and picks per hour as output. As the convexity axiom of standard DEA models cannot be fully satisfied when using ratio measures with different denominators, we apply the Free Disposal Hull (FDH) approach that does not assume convexity. Validating the efficiency scores with the company’s efficiency assessment, operationalized by premium payments shows a 93% goodness=of-fit for the proposed model. The formulated non-parametric approach and its empirical application are promising ways forward in implementing empirical efficiency measurements for order picking operations within e-commerce operations.


2018 ◽  
Vol 28 (11) ◽  
pp. 2681-2687 ◽  
Author(s):  
Abdul-Majid Wazwaz

Purpose The purpose of this paper is concerned with developing a (2 + 1)-dimensional Benjamin–Ono equation. The study shows that multiple soliton solutions exist and multiple complex soliton solutions exist for this equation. Design/methodology/approach The proposed model has been handled by using the Hirota’s method. Other techniques were used to obtain traveling wave solutions. Findings The examined extension of the Benjamin–Ono model features interesting results in propagation of waves and fluid flow. Research limitations/implications The paper presents a new efficient algorithm for constructing extended models which give a variety of multiple soliton solutions. Practical implications This work is entirely new and provides new findings, where although the new model gives multiple soliton solutions, it is nonintegrable. Originality/value The work develops two complete sets of multiple soliton solutions, the first set is real solitons, whereas the second set is complex solitons.


Author(s):  
Yukun Wang ◽  
Yiliu Liu ◽  
Aibo Zhang

Customer satisfaction with a purchased product is closely related to the product performance within the warranty region and even the performance during the remainder of its useful life. Every satisfied customer may boost the future sales of the same product with positive evaluations and recommendations to others, and thus will create more profits for the manufacturer. During the useful life of the product, the expected cost to the manufacturer normally depends on the warranty policy, product reliability and specific servicing strategies implemented. In this article, considering the effect of customer satisfaction on the manufacturer’s incurred cost, we investigate a periodic and imperfect preventive maintenance strategy for repairable products sold with a two-dimensional warranty policy. The customer satisfaction is measured with the probability of the customer making a repeat purchase from the same manufacturer. In the proposed model, the number of preventive maintenance actions and corresponding maintenance level are jointly derived with the objective of minimizing the expected total cost per product to the manufacturer. The performance of the proposed preventive maintenance strategy is compared with that of minimal repair corrective maintenance strategy in a numerical example, so as to illustrate its applicability. In addition, some practical implications from a detailed sensitivity analysis are elaborated.


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