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The present paper assesses the decision problem of selecting Unmanned Aerial Vehicle Systems (SARP) by the hybrid MPSI-SPOTIS approach for deployment in border control and transborder illicit combat.

By the hybrid MCDA MPSI-SPOTIS approach, and from the database available in Gettinger (2019), models were filtered by Endurance, Range, Maximum Take-Off Weight (MTOW), and Payload, fitting within the classification of Categories EB 0 and 2. Category EB 1 was not considered in this study due to the limited number of models in the data source.

The use of the Multi-Criteria Decision Analysis (MCDA) tool MPSI-SPOTIS allowed the determination of weights by stochastic criteria, applied in a ranking method resistant to reverse ordering. The application of the method identified the Raybird-3 (Cat EB 0) and Searcher (Mk3) (Cat EB 2) models as the best alternatives. From a proposed clustering, other selection possibilities with close performance in the evaluation were presented. The cost criterion was not taken into consideration due to the absence of information in the data source employed. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

The cost criterion was not taken into consideration due to the absence of information in the data source used. Future studies are suggested to include criteria related to the life cycle and acquisition cost of the models.

This paper aims to propose a technology selection method applied to complex defense acquisitions when multiple factors influence the decision makers and it is hard to obtain a major optimum solution in multitask and multi-mission platform.

The proliferation of technological advancements has facilitated unrestricted access to and customizable consumption of content for viewers. Over-the-top (OTT) services are becoming more and more popular as the number of people using video streaming services grows around the world. In this context, this study aims to identify the antecedents and outcomes of Customer over-the-top Experience (COTTE) by synthesizing the existing research.

This research used the systematic literature review approach to identify the antecedents and outcomes of COTTE, along with the publication schedule, theories, analytical techniques, research methodology, and geographic scope of the 47 studies identified from the Scopus and Web of Science database.

The findings elucidate various antecedents of COTTE, including user-related, social, content-related, and website/platform-related factors. Additionally, diverse outcomes, encompassing behavioural/attitudinal and company-related factors have been discussed. Furthermore, an integrated framework is presented herein, synthesizing extant research and guiding future researchers in this domain.

The study’s findings offer a novel perspective for service providers aiming to enhance the OTT experience for their customers. This study stands out as one of the first to comprehensively present the antecedents and consequences of COTTE.

This paper aims to empirically examine the impact of psychological factors (i.e. privacy and intrusiveness concerns) on user intentions regarding artificial intelligence (AI)-enabled social commerce applications at their core through perceived usefulness. The theoretical model is supported by the theory of planned behaviour (TPB).

Data was gathered from 488 social media users in Saudi Arabia.

Privacy concerns significantly affect perceived usefulness. Furthermore, the link between privacy concerns and behavioural intentions was mediated by perceived usefulness.

Business leaders should raise users’ awareness about the effectiveness of AI-powered tools that can influence their behavioural intentions. Furthermore, managers must be aware of the regulations that protect user privacy, track online activity and offer secure communication channels.

This paper expands on TPB by bridging the theoretical and practical divide. It further develops a theoretical framework for practitioners to better understand customers’ physiological aspects of using AI-powered social commerce platforms.

Este artículo examina empíricamente el impacto de los factores psicológicos (es decir, preocupaciones de privacidad e intrusión) en las intenciones de los usuarios con respecto a las aplicaciones de comercio social habilitadas con inteligencia artificial (IA) en su núcleo a través de la utilidad percibida. El modelo teórico se sustenta en la teoría del comportamiento planificado (TPB).

Los datos se recopilaron de 488 usuarios de redes sociales en Arabia Saudita.

Las preocupaciones sobre la privacidad afectan significativamente la utilidad percibida. Además, el vínculo entre las preocupaciones por la privacidad y las intenciones de comportamiento estuvo mediado por la utilidad percibida.

Los líderes empresariales deberían concienciar a los usuarios sobre la eficacia de las herramientas impulsadas por la IA que pueden influir en sus intenciones de comportamiento. Además, los gerentes deben conocer las regulaciones que protegen la privacidad de los usuarios, rastrear la actividad en línea y ofrecer canales de comunicación seguros.

Este artículo amplía el TPB cerrando la brecha teórica y práctica. Además, desarrolla un marco teórico para que los profesionales comprendan mejor los aspectos fisiológicos de los clientes al utilizar plataformas de comercio social impulsadas por IA.

本文透過實證研究了心理因素 (即隱私和侵入性問題) 對人工智慧 (AI) 驅動的社交商務應用程式的使用者意圖的影響, 其核心是透過感知有用性。 此理論模型得到計劃行為理論 (TBP) 的支持。

資料收集自沙烏地阿拉伯的 488 名社群媒體用戶。

隱私問題顯著影響感知的用處。 此外, 隱私問題和行為意圖之間的連結是透過感知有用性來調節的。

企業領導者應該提高使用者對人工智慧工具有效性的認識, 這些工具可以影響他們的行為意圖。 此外, 管理人員必須了解保護用戶隱私、追蹤線上活動並提供安全通訊管道的法規。

本文透過彌合理論和實踐鴻溝，對 TPB 進行了擴展。 它進一步為從業者開發了一個理論框架，以便更好地了解使用人工智慧驅動的社交商務平台的客戶的生理方面。

This study examines the dynamics of innovative auditing practices in the digital age, with a specific focus on auditor competencies. Within this scope, we highlight the necessity of redefining auditing practices and the essential adaptation required from auditors. The primary objective is to understand comprehensively how auditor competencies can be strengthened to meet the challenges posed by innovative audit practices.

A Systematic Literature Review (SLR) was conducted to explore this theme, ensuring rigor and credibility in the outcomes. The results emphasize the importance of auditors strengthening professional competencies, embracing technological agility, and promoting ongoing professional development initiatives.

The triadic framework comprising—Auditor, Auditing Practices, and Digital Audits— forms the basis for innovative audit practices. This manuscript further discusses the transition of advanced technologies, laying the groundwork for the evolution of auditing practices. Through a systematic assessment of the literature, this study develops a framework for innovative, ethically driven, and effective auditing practices, ensuring the occupation's relevance and value. Future investigations should focus on the ethical implications of automation in auditing practices and develop innovative frameworks tailored to diverse organizational contexts.

The study addresses a contemporary issue by examining the evolving nature of auditing practices considering digital transformation. Practical implications highlight the enhancement of auditor roles in digital transformation, covering ethics, technological adaptation, and continuous development to uphold the profession's integrity. This focus acknowledges the changing dynamics of business and the growing role of technology in auditing processes.

The effect of corporate social responsibility (CSR) on corporate financial performance (CFP) is shown to depend on both firm-specific and external factors. This study investigates the moderating role of two firm-specific factors – the firm life-cycle stage and ownership structure – on the CSR–CFP relationship in a developing economy setting – India.

The study covers 1,419 listed companies in India during 2015–21. The firm lifecycle is represented using firm age and future growth prospects. Ownership is represented through a dummy variable and promoters’ holding percentages. Return on assets (RoA) is used as a measure of CFP, while CSR intensity, i.e. the ratio of CSR expenditure to profit after tax (PAT), is used to represent CSR. Fixed effect panel regression and generalized method of moments (GMM) models are used for data analysis.

CSR expenditure has a significant negative impact on CFP. Firm age and future growth prospects amplify this negative impact, indicating that the firm life-cycle has a significant negative moderating effect on the CSR–CFP relationship. Furthermore, the impact of CSR on CFP is worse for government companies than private ownership. Promoters’ holdings have a positive impact on the CSR–CFP relationship.

The results question the validity of mandatory CSR expenditure on companies operating in developing countries and call for a differentiated policy approach to CSR expectations based on firm characteristics. This study also enhances the existing literature on CSR–CFP.

The growing research on CSR–CFP has limited coverage of firm characteristics as contributing factors. Hence, this paper helps in enhancing the existing literature on CSR–CFP and makes it more relevant to firms with specific characteristics.

Recent years have witnessed an unexpected and astonishing rise of AI-generated (AIGC), thanks to the rapid advancement of technology and the omnipresence of social media. AIGCs created to mislead are more commonly known as DeepFakes, which erode our trust in online information and have already caused real damage. Thus, countermeasures must be developed to limit the negative impacts of AIGC. This position paper aims to provide a conceptual analysis of the impact of DeepFakes considering the production cost and overview counter technologies to fight DeepFakes. We will also discuss future perspectives of AIGC and their counter technology.

We summarize recent developments in generative AI and AIGC, as well as technical developments to mitigate the harmful impacts of DeepFakes. We also provide an analysis of the cost-effect tradeoff of DeepFakes.

The mitigation of DeepFakes call for multi-disciplinary research across the traditional disciplinary boundaries.

Government and business sectors need to work together to provide sustainable solutions to the DeepFake problem.

The research and development in counter-technologies and other mitigation measures of DeepFakes are important components for the health of future information ecosystem and democracy.

Unlike existing reviews in this topic, our position paper focuses on the insights and perspective of this vexing sociotechnical problem of our time, providing a more global picture of the solutions landscape.

This paper discusses a multifaceted approach to developing specific and general climate resilience in a state transportation system that focuses on organizations and physical infrastructure. The paper focuses on resilience building to the dynamically evolving climate-related threats and extreme events in a transportation agency. This paper aims to enable agencies to understand better how their systems are exposed to different hazards and provide the information necessary for prioritizing their assets and systems for resilience improvement.

This paper leverages long-term climate hazard databases, spatial and statistical analyses and nonprobabilistic approaches for specific and general climate resilience improvement. Spatial and temporal variability assessments were conducted on granular historical records of exposure obtained from Spatial Hazards Events and Losses Database for the United States data set to identify emerging hot spots of exposure. These were then assessed in combination with various asset specific vulnerability parameters, presented with examples of pavements and bridges. Specific metrics were obtained for the various aspects of vulnerability in the context of a given asset to estimate the overall vulnerability. A criticality-vulnerability matrix was then developed to provide a prioritization model for transportation systems.

This paper provides insights into the evolving nature of exposure, vulnerability and risk assessments and an approach to systematically account for climate change and the uncertainties associated with it in resilience planning. The Multi-Hazards Exposure, Vulnerability and Risk Assessment tool presented in this paper conducts climate hazard exposure, vulnerability and risk analysis on pavements, bridges and culverts and can be applied by any transportation agency.

This study does not address operational aspects of the transportation system nor include future climate scenario data, but uses the historical records available at hand for resilience planning. With better climate projection data available in the future, the approach should be enhanced by leveraging scenario-based planning.

This paper is of potential value to practitioners and researchers interested in developing resilience building capabilities to manage the effects of climate-related hazards and extreme events as well as unknown threats on infrastructure and organizational performance.

This paper bridges an important gap in infrastructure resilience approaches by systematically accounting for the dynamic nature of climate change and the system level context of vulnerability beyond the physical condition of assets.

Like a well-designed procurement strategy, a well-designed rolling stock strategy promotes the development of a railroad company and contributes to its competitive advantage. Effective implementation of the rolling stock strategy enhances the likelihood of enjoying the benefits of the strategy’s design. A successful implementation relies on the strategy being known, understood, controlled and communicated to the entire organization.

The research consists of an extensive literature review as well as a series of workshops with rolling stock suppliers, railway authorities and representatives and rail users.

This paper presents a collection of solutions for passenger rail rolling stock procurement. The authors offer guidance to the strategic procurement of rolling stock in the European Union (EU) and propose key performance indicators to measure the effectiveness of a rolling stock strategy.

While this study presents a thorough evaluation of rolling stock procurement practices, it is limited by its geographic isolation. Future studies should compare the procurement practices discussed here to others in the EU, as well as in North America, South America and Asia. Additionally, this study focused on the passenger rail segment. Passenger transport is an important function of the rail network in the EU, but future research should expand the assessment of rolling stock procurement strategies to freight rail as well.

Overall, this work provides visibility into common rolling stock procurement practices in complex EU railway markets. This work expands the literature through a review of these practices and through enabling research into best practices or a commonly accepted procurement model.

In developing nations, the utility and intention to use algorithmic trading (AT) platforms and financial services are predominantly reliant on investors’ technological knowledge. This study aims to investigate the effect of investor awareness of AT (AAT), trust in AT (TAT) and acceptance of innovativeness (AOI) on intention to use the AT (IUAT) platforms among Indian investors.

The authors used a structured questionnaire with a five-point Likert scale to collect the data from 392 Indian retail investors through a purposeful sampling approach. And, the authors carried out structural equation modelling to analyse the serial mediation among the latent (independent) and observed (dependent) variables.

The findings suggest that investor awareness exerts a statistically significant and positive effect on the IUAT platforms. Additionally, TAT platforms and innovation acceptance, independently as well as mediator, significantly influences the usage decision of AT platforms among Indian investors.

The findings on determinants of AT platform usage can guide investment regulators to promote technological awareness, build trust and provide a safe algorithmic trading environment for retail investors in India. The suggestions may take the edge off a few behavioural impediments among the investors w.r.t. AT platform usage.

Off the back of extensive literary exploration our field research is among the first that probes an intellectual discourse and documents the empirical evidence on linkages between investor AAT, TAT, AOI and the IUAT platforms in the Indian stock market.

The purpose of this research is to develop an enhanced understanding of the drivers of trust and loyalty in a conventional and Islamic banking setting.

The study’s sample included South African retail bank customers who had Islamic or conventional products and who were 18 years or older. A field services company collected data from respondents through the distribution of self-administered questionnaires and a total of 949 questionnaires were deemed suitable for data analysis. SmartPLS 3.2.7 and Hayes Process Macro for SPSS tested the study’s hypotheses.

Comparing conventional banking customers with Islamic banking customers, the path from trust to customer loyalty was statistically significantly different across customer type, while the paths between trust and customer orientation, information sharing, and service fairness were not statistically significantly different across customer type. A closer examination of the path coefficients reveals that the relationship between trust and loyalty is stronger for conventional banking customers than for Islamic banking customers.

The findings of the study guide both conventional and Islamic banks in South Africa on how banks should redesign their purpose as the providers of financial resources to their customer segments. It highlights the need for these banks to secure a more focused approach on how to deliver financial resources and consulting services to customers in a trusting, engaging and reliable manner.

The study provides insight into Islamic and retail bank customers’ perceptions of the drivers of trust and loyalty and how these constructs’ interrelationships differ between Islamic and conventional banking customers.