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The classical transportation problem is actually well known both in theory and numerical resolution. We are interested in the multi‐subscripts capacitated transportation problem of axial sum launched by specialists some years ago. Our work deals with the capacitated problem with four subscripts for which we have established an existence criterion, an optimality condition and an algorithm of resolution.

This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use.

This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis.

While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI.

The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis.

There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

Multi-robot coalition formation (MRCF) refers to the formation of robot coalitions against complex tasks requiring multiple robots for execution. Situations, where the robots have to participate in multiple coalitions over time due to a large number of tasks, are called Time-extended MRCF. While being NP-hard, time-extended MRCF also holds the possibility of resource deadlocks due to any cyclic hold-and-wait conditions among the coalitions. Existing schemes compromise on solution quality to form workable, deadlock-free coalitions through instantaneous or incremental allocations.

This paper presents an evolutionary algorithm (EA)-based task allocation framework for improved, deadlock-free solutions against time-extended MRCF. The framework simultaneously allocates multiple tasks, allowing the robots to participate in multiple coalitions within their schedule. A directed acyclic graph–based representation of robot plans is used for deadlock detection and avoidance.

Allowing the robots to participate in multiple coalitions within their schedule, significantly improves the allocation quality. The improved allocation quality of the EA is validated against two auction schemes inspired by the literature.

To the best of the author's knowledge, this is the first framework which simultaneously considers multiple MR tasks for deadlock-free allocation while allowing the robots to participate in multiple coalitions within their plans.

The present chapter aims to assess how digital transformation impacts current trends in city branding, to analyze the role of digital communication in the branding of selected cities, and to compare the level of exploitation of digital communication for city branding between European and Slovak cities. We conducted empirical research in several phases, and the overall sample consists of 155 cities in Europe and Slovakia. The results of our research showed that European and Slovak cities use to some extent all the investigated tools of digital marketing communication in city branding with a dominant position of social media, both in terms of exploitation and importance for city branding in European and Slovak cities. European cities score significantly better than Slovak cities in all elements of the City Brand Hexagon, as well as in the overall city brand index. Therefore, city branding strategies in the best European cities can serve as a good practice example or inspiration for Slovak cities. Cities with lower rankings and scores on city branding should focus on strengthening their city branding or strengthening their digital communication. The possible trajectory is also the concerted strategy for the branding of the city and its digital communication.

The purpose of this paper is to develop a comprehensive research model that can explain customers’ continuance intentions to adopt and use intelligent personal assistants (IPAs).

This study proposes and validates a new theoretical model that extends the parasocial relationship (PSR) theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 304 survey samples.

Interpersonal attraction (task attraction, social attraction, and physical attraction) and security/privacy risk are important factors affecting the adoption of IPAs.

First, this is the first empirical study to examine user acceptance of IPAs. Second, to the authors’ knowledge, no research has been conducted to test the role of PSR in the context of IPAs. Third, this study verified the robustness of the proposed model by introducing new antecedents reflecting risk-related attributes, which has not been investigated in prior PSR research. But this study has limitations that future research may address. First, key findings of this research are based only on data from users in the USA. Second, individual differences among the survey respondents were not examined.

To increase the adoption of IPAs, manufacturers should focus on developing “human-like” and “professional” assistants, in consideration of the important role of PSR and task attraction. R&D should continuously strive to realize artificial intelligence technology advances so that IPAs can better recognize the user’s voice and speak naturally like a person. Collaboration with third-party companies or individual developers is essential in this field, as manufacturers are unable to independently develop applications that support the specific tasks of various industries. It is also necessary to enhance IPA device design and its user interface to enhance physical attraction.

This study is the first empirical attempt to examine user acceptance of IPAs, as most of the prior literature has concerned analysis of usage patterns or technical features.

The purpose of this paper is to examine the impact of affiliate marketing strategies as a tool for increasing customers' engagement and vulnerability over financial services. This is attempted by examining the connection between affiliate marketing factors and customers' brand engagement and vulnerability metrics.

The authors developed a three-staged methodological context, based on the 7 most known centralized payment network (CPN) firms' website analytical data, which begins with linear regression analysis, followed by hybrid modeling (agent-based and dynamic models), so as to simulate brand engagement and vulnerability factors' variation in a 180-day period. The deployed context ends by applying the cognitive modeling method of producing heatmaps and facial analysis of CPN websites to the selected 47 vulnerable website customers, for gathering more insights into their brand engagement.

Throughout the simulation results of the study, it becomes clear that a higher number of backlinks and referral domains tend to increase CPN firms' brand-engaged and vulnerable customers.

From the simulation modeling process, the implication for backlinks and referral domains as factors that enhance website customers' brand engagement and vulnerability has been highlighted. A higher number of brand-engaged website customers could mean that vulnerable categories of customers would be impacted by CPNs' affiliate marketing. Improving those customers' knowledge of the financial services utility is of utmost importance.

The outcomes of the research indicate that online banking service providers can increase their customers' engagement with their brands by adopting affiliate marketing techniques. To avoid the increase in customers' vulnerability, marketers should aim to apply affiliate marketing strategies to domains relevant to the provided financial services.

The paper's outcomes provide a new approach to the literature, where the website customer's brand engagement comes out as a valuable metric for estimating online banking sector customers' vulnerability.

Despite the perceived role of customer value in post-adoption behaviour in the context of ride-hailing apps such as Uber, there has been limited research on the subject. This paper seeks to enrich the understanding of the relationships between customer perceived value, particularly hedonic value and economic value, customer satisfaction and continued use intentions of ride-hailing apps.

This analysis is based on field data collected from 567 users of ride-hailing apps in Ghana. Data collected from the survey were analysed using the partial least square (PLS) approach to structural equation modelling (SEM).

The paper provides evidence that hedonic value, as well as economic value, positively predicts customer satisfaction and continued use intentions of ride-hailing apps. Further analysis reveals customer satisfaction directly predicts continued use intentions in addition to partially mediating the influence of customer perceived value on continued use intentions of ride-hailing apps. Finally, the findings suggest that hedonic value has a stronger impact on continued use intentions than economic value, while economic value has a greater impact on satisfaction than hedonic value.

The study contributes to post-adoption behaviour research by providing evidence on the relationships among the study constructs in a developing country context. Overall, the findings will stimulate future empirical debates on the subject and guide practitioners in decision-making concerning customers' usage of ride-hailing apps.

The purpose of this paper is to investigate whether Financial Reporting Quality (FRQ), Corporate Governance and IFRS affect investment efficiency of French listed companies.

Based on a sample of 125 French firms listed on the CAC All Tradable index between 2008 and 2017, the study uses Feasible Generalized Least Squares (FGLS) regressions to examine the relationship between FRQ and firms' investment efficiency.

The findings show that FRQ plays a role in reducing overinvestment and does not affect underinvestment, suggesting that in a code-law country, informal and personal relationships tend to replace the role of financial reports in mitigating information asymmetry. The results also reveal that the relationship between FRQ and investment efficiency increases with better corporate governance and with the implementation of IFRS. However, the results provide no evidence between incentives to minimize profits for tax purposes and firms' underinvestment and continues to be negative for overinvesting companies that have more incentives to manage their earnings for tax purposes.

Our study has some limitations. First, we only examine listed firms, so the results cannot be generalized to unlisted companies that represent the vast majority of French economic activity. Second, this research does not distinguish between government companies and private companies. The two types of companies have different governance mechanisms, financial reporting, disclosure environment and concentration of ownership.

This study suggests that in a code-law country with weak investor protection, FRQ acts as a governance mechanism by mitigating asymmetric information and improving firms' investment decisions.

The relationship between FRQ and investment efficiency has been widely examined for companies in “common law” countries. This study extends the scarce evidence of this relation to companies in a code-law country. It also builds on previous research by introducing new factors never discussed before that could change this relationship, namely corporate governance, IFRS implementation and tax purposes.

The purpose of this paper is to examine the effects of Islamic finance on women empowerment in Africa between the periods of 1975 and 2021.

This paper uses secondary data for 27 African countries obtained from the World Development Indicators, World Population Review and the Varieties of Democracy databases. Four dimensions of women empowerment, namely, economic, social, political and household, are considered while Islamic finance is proxied by a binary variable with 1 and 0 representing the presence and the absence of Islamic finance, respectively. The two-staged least square estimation technique is used to control for the problem of endogeneity.

This study revealed that Islamic finance positively affects women empowerment in Africa. Specifically, Islamic finance has positive and significant effects on women political empowerment, women economic empowerment and women social empowerment in Africa but nonsignificant effect on home empowerment. These effects are more pronounced in middle-income than in low-income countries and in countries with higher penetration rate of Islamic finance.

Policymakers should put in place the necessary mechanisms for the promotion of Islamic finance such as the enacting of laws that ensures the creation of full-fledged Islamic banks, encouraging research in Islamic finance and Islamic economics. These policies should equally be backed by the creation of some accompanying measures such as the abolition of social norms that limit women’s ability to take part in decision-making.

To the best of the authors’ knowledge, this is the first study involving an Africa continent-wide analysis of the effects of Islamic finance on women empowerment.