Search results

This study aims to determine the barriers hindering the incorporation of blockchain technology (BCT) in two key service industries – hotel and health care – as well as to assess their readiness for implementing BCT after overcoming the barriers.

The barriers of this study are determined through two phases: a review of prior literature and obtaining expert opinions, which are then analyzed to identify specific barriers that are impeding the incorporation of BCT. Moreover, to generate a blockchain implementation reluctance index (BIRI), this study presents an interval-valued intuitionistic fuzzy set (IVIFS) that uses graph theory and matrix approach (GTMA). The permanent function in the GTMA approach is computed using the PERMAN algorithm. Finally, to compare the readiness of the hotel and health-care industries to adopt BCT, the BIRI values are plotted and evaluated.

The barriers identified by this study are listed under five major headings, namely, financial, operational, behavioral, technical and legal. This study revealed that the operational and technical barriers of BCT are critically hindering its widespread integration in hotel and health-care industries. Furthermore, on comparing the BIRI values of both industries, the result suggested that the hotel industry needs to work more on these barriers to effectively incorporate BCT. Besides the comparison, the BIRI values clearly indicate that both industries have to put a lot of effort into the mitigation of the barriers found by this study to successfully integrate BCT.

The experts’ opinions are used to evaluate the identified barriers, which raises the chance that the opinions are prejudiced based on the experts’ perspectives and ideologies. The sensitivity of decision-maker loads toward preference outcomes is not analyzed in this manuscript. Therefore, any recent sensitivity analysis may be considered a prospective field for future research. This study applies a multicriteria decision-making (MCDM) approach, IVIFS–GTMA, which limits the evaluation of the influence caused by individual barriers on the integration of BCT in the hotel and health-care industries. Henceforth, in future investigations, alternative MCDM methods may be used to analyze individual barriers.

According to the findings, if the hotel or health-care industry aims to incorporate BCT in its supply chain operations, it is recommended to emphasize more on the operational barriers along with the technical and behavioral barriers. The barriers mentioned in this manuscript can be used as guidance for developers in their development activities, such as scalability concerns, establishment costs, the 51% attack and the inefficient nature of BCT. Furthermore, they may address the potential users’ negative perceptions about security, privacy, trust and risk avoidance through creatively developed blockchain solutions to promote BCT implementation.

To the best of the author’s knowledge, this is the first study that identifies barriers toward BCT incorporation in the major service industries, i.e. hotel and health care. Moreover, this is the first study that compares the preparedness of the hotel and health-care industries to determine the industry that requires more work to implement BCT.

The purpose of this paper is to catalogue the various ways in which algorithm-driven decision-making now permeates myriad fields of human activities from insurance through criminal justice to hiring and employment and suggest that this diffusion represents a qualitatively new level of reputation threat for organizations in every industry.

The author uses an audit of numerous secondary sources to identify common themes and distinctive impacts of the uses of algorithms.

This research determined that perverse and unintended consequences of the spread of algorithm-driven decision-making were pervasive.

Based on a review of secondary resources, data on the impact of the algorithms is of necessity primarily anecdotal.

The research shows that the pervasive inequities produced by algorithm-driven decision-making represents a very significant reputation risk and a potential flashpoint for many different organizations.

If algorithm-driven decision-making indeed entrenches racism and other inequities, it is critical for society that we find an effective way to regulate their use.

While considerable attention has been devoted to individual instances of inequities produced by algorithm-driven decision-making, we believe this is one of the first reviews to look across the spectrum of applications from a reputation risk perspective.

The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs.

The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship.

The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation.

The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.

One of the biggest challenges in B2C e‐commerce is the so‐called “last mile”, the home delivery service for the customer. Particularly in electronic grocery shopping it is difficult to combine profitability and high service level. The authors’ simulations suggest that the unattended reception of goods reduce home delivery costs considerably, by up to 60 percent. Unattended delivery has not been widely used because it requires investments and commitment from the customer. The two main approaches to unattended delivery are the reception box concept and the delivery box concept. The reception box is a refrigerated, customer‐specific reception box installed at the customer’s garage or home yard. The delivery box is an insulated secured box equipped with a docking mechanism. The reception box concept results in more effective home delivery transportation and the delivery box concept in smaller investment to achieve unattended receipt. This article assesses these two different concepts. The cost savings in transportation are analysed using simulation. The operational cost savings are compared to the respective investments required to calculate the payback period. Both concepts proved to be feasible but which one works better is not only a question of financial justification. The possible additional value to customers and overall suitability to the market must also be considered.