The role of trusting beliefs in voice assistants during voice shopping

Artificial intelligence-based voice assistants (VAs) such as Amazon Alexa deliver personalized product recommendations in order to match consumers’ needs. The use of voice assistants for shopping purposes in corporates elements of risk affecting when and how they are considered trusted relationship partners. In this uncertain environment, it is unclear ‘when’ voice assistants are capable of gaining trust and ‘how’ the development of such a trusted relationship affects decisions. This research explores the effect of trusting beliefs towards voice assistants on decision satisfaction through the indirect effect of consideration set size (n.of options), in the context of voice shopping. Findings of an individual-session online experiment (N = 180) show a positive direct effect of trust on customer’s satisfaction and a mediating role of set size, confirming consumers’ bias towards default choices. This study highlights the consequences of trust in AI-enabled voice assistants for decision-making during utilitarian purchases

Do corporations have a duty to be trustworthy?

Since the global financial crisis in 2008, corporations have faced a crisis of trust, with growing sentiment against ‘elites and ‘big business’ and a feeling that ‘something ought to be done’ to re-establish public regard for corporations. Trust and trustworthiness are deeply moral significant. They provide the ‘glue or lubricant’ that begets reciprocity, decreases risk, secures dignity and respect, and safeguards against the subordination of the powerless to the powerful. However, in deciding how to restore trust, it is difficult to determine precisely what should be done, by whom, and who will bear the cost, especially if any action involves a risk to overall market efficiency and corporate profitability. The paper explores whether corporations have a moral duty to be trustworthy, to bear the cost of being so and thus contribute to resolving the current crisis of trust. It also considers where the state and other social actors have strong reason to protect and enforce such moral rights, while acknowledging that other actors have similar obligations to be trustworthy. It outlines five ‘salient factors’ that trigger specific rights to trustworthiness and a concomitant duty on corporations to be trustworthy: market power, subordination (threat and intimidation), the absence of choice, the need to preserve systemic trust, and corporate political power which might undermine a state’s legitimacy. Absent these factors and corporations do not have a general duty to be trustworthy, since a responsible actor in fair market conditions should be able to choose between the costs and benefits of dealing with generally trustworthy corporations

Enabling Trustworthy Service Evaluation in Service-Oriented Mobile Social Network

We propose a Trustworthy Service Evaluation (TSE) system to enable users to share service reviews inservice-oriented mobile social networks (S-MSNs). Each service provider independently maintains a TSE for itself, which collects andstores users’ reviews about its services without requiring any third trusted authority. The service reviews can then be made available tointerested users in making wise service selection decisions. It identify three unique service review attacks, i.e., linkability, rejection, and modification attacks, and develop sophisticated security mechanisms for the TSE to deal with these attacks. Specifically, the basicTSE (bTSE) enables users to distributedly and cooperatively submit their reviews in an integrated chain form by using hierarchical and aggregate signature techniques. It restricts the service providers to reject, modify, or delete the reviews. Thus, the integrity and authenticity of reviews are improved. Further, It extend the bTSE to a Sybil-resisted TSE (SrTSE) to enable the detection of two typical sybil attacks. In the SrTSE, if a user generates multiple reviews toward a vendor in a predefined time slot with differentpseudonyms, the real identity of that user will be revealed. Through security analysis and numerical results, It show that the bTSE and the SrTSE effectively resist the service review attacks and the SrTSE additionally detects the Sybil attacks in an efficient manner.Through performance evaluation, It show that the bTSE achieves better performance in terms of submission rate and delay than a service review system that does not adopt user cooperation

The Role of Trusting Beliefs in Voice Assistants during Voice Shopping

Artificial intelligence-based voice assistants (VAs) such as Amazon Alexa deliver personalized product recommendations in order to match consumers’ needs. The use of voice assistants for shopping purposes incorporates elements of risk affecting when and how they are considered trusted relationship partners. In this uncertain environment, it is unclear ‘when’ voice assistants are capable of gaining trust and ‘how’ the development of such a trusted relationship affects decisions. This research explores the effect of trusting beliefs towards voice assistants on decision satisfaction through the indirect effect of consideration set size (n. of options), in the context of voice shopping. Findings of an individual-session online experiment (N = 180) show a positive direct effect of trust on customer’s satisfaction and a mediating role of set size, confirming consumers’ bias towards default choices. This study highlights the consequences of trust in AI-enabled voice assistants for decision-making during utilitarian purchases

PREDICTING BUYERS’ REPURCHASE INTENTIONS IN CROSS-BORDER E-COMMERCE: A VALENCE FRAMEWORK PERSPECTIVE

Cross-border e-commerce has become an important channel for promoting international trade. Yet, the factors influencing buyer behavior in cross-border e-commerce have received relatively less research attention than in domestic e-commerce settings. In this paper we draw on the valence framework to develop and test a research model of buyer repeat purchase intentions in cross-border e-commerce. We hypothesized the effects of positive valences (value, monetary saving, convenience and product offerings) along with negative valences (product and transaction-based uncertainties) on repeat purchase intention. Data was collected from users of a popular cross-border e-commerce provider in China. Results (n=169) revealed that positive valences exert the strongest effects on repeat purchase intention, but negative valences are also significant. These include product-based uncertainties and transaction-based uncertainties. Our model explained 69% of the variance in repeat purchase intentions in a cross-border e-commerce platform. Results enhance our understanding of cross-border e-commerce and have important implications for online providers competing in international markets

Аналіз факторів прийняття рішень щодо використання соціальних мереж: роль довіри та обміну інформацією

Purpose: This study is aimed at explaining the factors that influence a person to decide to use TikTok in the Jabodetabek (Jakarta-Bogor-Depok-Tangerang-Bekasi) area. This study also uses the variables of self-efficacy, utilitarian value, hedonic value, information sharing, trust, and decision-making. Design/Method/Approach: Quantitative approaches and explanatory research are used in this study. Respondents were consumers who used the TikTok application in the Jabodetabek area to determine the number of samples. The present study uses non-probability sampling and convenience sampling techniques with 252 respondents. Data collection methods used questionnaires, and data were analyzed using Exploratory Factor Analysis (EFA) and the Structural Equation Modelling (SEM) method with the help of AMOS 24. Findings: The findings of this study indicate that self-efficacy and hedonic value positively affect trust, and trust positively affects information sharing and decision-making. Nevertheless, the results of this study also explain that self-efficacy does not affect information sharing. The utilitarian value does not significantly affect trust, and information sharing does not affect decision-making. Theoretical Implications: The study contributes to the existence literature on Social Media Use and Social Media Marketing especially about variables used in this study, wherein concludes that trust play an important role to use and activities of sharing information in social media. Practical Implications: Social media service providers should focus on the influence of information sharing and decision-making in the TikTok application, namely trust. One example is making efforts to improve consumer trust by protecting the personal information which consumers provide on social networking sites and developing the TikTok application as advertising for business. This study can be used as a reference for advertisers when choosing advertising media in the TikTok application because hedonic values influence trust in the TikTok application. Advertisers are advised to promote products by providing hedonic value, such as TikTok dance. Originality/Value: The use of the TikTok application is a trend that is currently popular. We tried to perform this research by using a dependent variable of decision-making that is not easy to find and is used in marketing studies. Research Limitations/Future Research: For further research , it is recommended to modify the model using factors other than those used in this study, use similar research objects other than the TikTok application, with a broader scope of the study location. Paper type: EmpiricalPurpose: This study is aimed at explaining the factors that influence a person to decide to use TikTok in the Jabodetabek (Jakarta-Bogor-Depok-Tangerang-Bekasi) area. This study also uses the variables of self-efficacy, utilitarian value, hedonic value, information sharing, trust, and decision-making. Design/Method/Approach: Quantitative approaches and explanatory research are used in this study. Respondents were consumers who used the TikTok application in the Jabodetabek area to determine the number of samples. The present study uses non-probability sampling and convenience sampling techniques with 252 respondents. Data collection methods used questionnaires, and data were analyzed using Exploratory Factor Analysis (EFA) and the Structural Equation Modelling (SEM) method with the help of AMOS 24. Findings: The findings of this study indicate that self-efficacy and hedonic value positively affect trust, and trust positively affects information sharing and decision-making. Nevertheless, the results of this study also explain that self-efficacy does not affect information sharing. The utilitarian value does not significantly affect trust, and information sharing does not affect decision-making. Theoretical Implications: The study contributes to the existence literature on Social Media Use and Social Media Marketing especially about variables used in this study, wherein concludes that trust play an important role to use and activities of sharing information in social media. Practical Implications: Social media service providers should focus on the influence of information sharing and decision-making in the TikTok application, namely trust. One example is making efforts to improve consumer trust by protecting the personal information which consumers provide on social networking sites and developing the TikTok application as advertising for business. This study can be used as a reference for advertisers when choosing advertising media in the TikTok application because hedonic values influence trust in the TikTok application. Advertisers are advised to promote products by providing hedonic value, such as TikTok dance. Originality/Value: The use of the TikTok application is a trend that is currently popular. We tried to perform this research by using a dependent variable of decision-making that is not easy to find and is used in marketing studies. Research Limitations/Future Research: For further research , it is recommended to modify the model using factors other than those used in this study, use similar research objects other than the TikTok application, with a broader scope of the study location. Paper type: EmpiricalМета роботи: Це дослідження спрямоване на пояснення факторів, які впливають на прийняття рішення про використання TikTok в регіоні Джабодетабек (Джакарта-Богор-Депок-Тангеранг-Бекасі). У цьому дослідженні також використовуються змінні самоефективності, утилітарної цінності, гедоністичної цінності, обміну інформацією, довіри та прийняття рішень. Дизайн / Метод / Підхід дослідження: Це дослідження спрямоване на пояснення факторів, які впливають на прийняття рішення про використання TikTok в регіоні Джабодетабек. У цьому дослідженні також використовуються змінні самоефективності, утилітарної цінності, гедоністичної цінності, обміну інформацією, довіри та прийняття рішень. Результати дослідження: Результати цього дослідження вказують на те, що самоефективність та гедоністичні цінності позитивно впливають на довіру, а довіра позитивно впливає на обмін інформацією та прийняття рішень. Разом з тим, результати дослідження також пояснюють, що самоефективність не впливає на обмін інформацією. Утилітарна цінність суттєво не впливає на довіру, а обмін інформацією не впливає на прийняття рішень. Теоретична цінність дослідження: Дослідження робить внесок в існуючу літературу щодо використання соціальних медіа та маркетингу соціальних медіа, особливо щодо змінних, використаних у цьому дослідженні, і робить висновок, що довіра відіграє важливу роль у використанні та діяльності з обміну інформацією в соціальних медіа. Практична цінність дослідження: Постачальникам послуг соціальних мереж слід зосередити увагу на впливі на обмін інформацією та прийняття рішень у додатку TikTok, а саме на довірі. Одним із прикладів є докладання зусиль для підвищення довіри споживачів шляхом захисту особистої інформації, яку споживачі надають у соціальних мережах, а також розвиток додатку TikTok як реклами для бізнесу. Дане дослідження може бути використано як орієнтир для рекламодавців при виборі рекламних носіїв у додатку TikTok, оскільки гедоністичні цінності впливають на довіру до додатку TikTok. Рекламодавцям рекомендується просувати товари, надаючи їм гедоністичну цінність, наприклад, танець TikTok. Оригінальність / Цінність дослідження: Використання додатку TikTok - це тренд, який наразі є популярним. Ми спробували провести це дослідження, використовуючи залежну змінну прийняття рішень, яку нелегко знайти і яка використовується в маркетингових дослідженнях. Обмеження дослідження / Майбутні дослідження: Для подальших досліджень рекомендується модифікувати модель з використанням факторів, відмінних від тих, що були використані в даному дослідженні, використовувати аналогічні об'єкти дослідження, відмінні від додатку TikTok, з більш широким охопленням локації дослідження. Тип статті: Емпірични

Millennials Purchase Intention Towards Online Travel Agent in Indonesia

This study investigates the factors that impact Indonesian millennials when purchasing airline tickets through the Online Travel Agent. Millennials� purchase intention is the focus of this study because millennial is half of Indonesia�sfinancially strong population and is tech-savvy. Thus this generation is very likely to shop online. Four factors proposed in this study, namely ease of payment, trust, benefits of online shopping, and information quality, were hypothesized to affect millennials purchasing decision. Data is gathered from millennials who have bought airline tickets online. The questionnaire is spread online, and data from 94 valid respondents is collected. To test the hypotheses, the data is analyzed with Multiple Linear Regression using SPSS. The adjusted r-square result is 0.483, which means that 48.3% of the variability of the dependent variable is explained by the four independent variables. While the t-test result suggests that, out of the four factors previously found to affect purchase intention in general, only three affect millennials� purchase intention, namely ease of payment, trust, and benefits of online shopping. Information quality is found to have an insignificant effect towards millennials� purchase intentio

AN EXAMINATION OF E-LOYALTY OF INDONESIAN MILLENNIAL TRAVELER ON THE USING OF ONLINE TRAVEL AGENT (OTA)

Millennial has characteristic of tech-savvy that drives them to use Online Travel Agencies (OTAs) more often. However, another characteristic of millennial is disloyal that becomes a challenge for OTA companies for maintaining their millennial customers. Thus, this study aims to develop and examine a research model that clarifies how millennial travelers become loyal to an online travel agency (OTA). A total of 326 respondents participated in this study. Structural Equation Modeling (SEM) was applied to analyze the research model. Findings indicate that hedonic feature provides significant influence on flow whereas utilitarian feature has significant influence on trust. Furthermore, flow provides significant influence on trust, meanwhile, trust has significant influence on affective and calculative commitment. Lastly, this study confirms that affective and calculative commitment provides significant influence on e-loyalty. The scope of this study is limited to hedonic and utilitarian features of the OTAs that generates experience (flow) and trust of customers, as well as commitment, that will influence millennial traveler’s e-loyalty

ENHANCING PRIVACY IN MULTI-AGENT SYSTEMS

La pérdida de privacidad se está convirtiendo en uno de los mayores problemas en el mundo de la informática. De hecho, la mayoría de los usuarios de Internet (que hoy en día alcanzan la cantidad de 2 billones de usuarios en todo el mundo) están preocupados por su privacidad. Estas preocupaciones también se trasladan a las nuevas ramas de la informática que están emergiendo en los ultimos años. En concreto, en esta tesis nos centramos en la privacidad en los Sistemas Multiagente. En estos sistemas, varios agentes (que pueden ser inteligentes y/o autónomos) interactúan para resolver problemas. Estos agentes suelen encapsular información personal de los usuarios a los que representan (nombres, preferencias, tarjetas de crédito, roles, etc.). Además, estos agentes suelen intercambiar dicha información cuando interactúan entre ellos. Todo esto puede resultar en pérdida de privacidad para los usuarios, y por tanto, provocar que los usuarios se muestren adversos a utilizar estas tecnologías. En esta tesis nos centramos en evitar la colección y el procesado de información personal en Sistemas Multiagente. Para evitar la colección de información, proponemos un modelo para que un agente sea capaz de decidir qué atributos (de la información personal que tiene sobre el usuario al que representa) revelar a otros agentes. Además, proporcionamos una infraestructura de agentes segura, para que una vez que un agente decide revelar un atributo a otro, sólo este último sea capaz de tener acceso a ese atributo, evitando que terceras partes puedan acceder a dicho atributo. Para evitar el procesado de información personal proponemos un modelo de gestión de las identidades de los agentes. Este modelo permite a los agentes la utilización de diferentes identidades para reducir el riesgo del procesado de información. Además, también describimos en esta tesis la implementación de dicho modelo en una plataforma de agentes.Such Aparicio, JM. (2011). ENHANCING PRIVACY IN MULTI-AGENT SYSTEMS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/13023Palanci