Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Online shopping in The Netherlands is rapidly becoming more popular and many web-shops are aiming to develop improved customer journeys. As a consequence pure play web-shops switch to an Omni-channel approach while conventional businesses add ‘online’ to their offline sales. In The Netherlands fast growth of online sales is made possible by industry organisations such as ‘Thuiswinkel.org’, an organisation that supports their over 12.000 retail-members with knowledge, development and information on all possible aspects of online shopping. In 2017 these members raised the question whether it is possible to mimic the ‘traditional sales conversation’ to online environments by deploying AI based conversation technology. To research this question the specific actual benefits for consumers need to be determined of the conventional ‘offline-shopping sales conversation’. Next, the current online shopping opportunities presented by the B2C market of The Netherlands were studied including the level of interaction (conversation) that is technically provided. With so many industries active in the online arena it was decided to focus on the following industries: Electronics, Clothing, Food, and Financial services. This selection was made based on levels of online sales (highest for these sectors) and interests of Thuiswinkel.org members. Subsequently, the offline sales conversation benefits that were found as ‘most important’ in these industries, were used to construct online customer journeys. These are then used to formulate requirements for the comparison and selection of conversation systems. With this insight in how to achieve true conversational commerce in the defined customer journeys of the four industry’s the retailers’ question is answered. The outcome shows differences per industry in importance of a limited number of ‘e-sales conversation’ benefits. An important conclusion is that the current available technology cannot deploy all complex aspects of the offline sales conversation benefits in an online shopping environment. The technology still needs to progress significantly to adopt offline sales conversation aspects. On the other hand pure substitution of offline benefits may not be required. Further, the maturity of the functionality within each conversation system appears to be of importance as requirements differ per company. Additional research is required to extend on the differences and first insight found in the options to develop ‘e-sales conversation’."
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In de afgelopen jaren hebben technologische ontwikkelingen de aard van dienstverlening ingrijpend veranderd (Huang & Rust, 2018). Technologie wordt steeds vaker ingezet om menselijke servicemedewerkers te vervangen of te ondersteunen (Larivière et al., 2017; Wirtz et al., 2018). Dit stelt dienstverleners in staat om meer klanten te bedienen met minder werknemers, waardoor de operationele efficiëntie toeneemt (Beatson et al., 2007). Deze operationele efficiëntie leidt weer tot lagere kosten en een groter concurrentievermogen. Ook voor klanten kan de inzet van technologie voordelen hebben, zoals betere toegankelijkheid en consistentie, tijd- en kostenbesparing en (de perceptie van) meer controle over het serviceproces (Curran & Meuter, 2005). Mede vanwege deze beoogde voordelen is de inzet van technologie in service-interacties de afgelopen twee decennia exponentieel gegroeid. De inzet van zogenaamde conversational agents is een van de belangrijkste manieren waarop dienstverleners technologie kunnen inzetten om menselijke servicemedewerkers te ondersteunen of vervangen (Gartner, 2021). Conversational agents zijn geautomatiseerde gesprekspartners die menselijk communicatief gedrag nabootsen (Laranjo et al., 2018; Schuetzler et al., 2018). Er bestaan grofweg drie soorten conversational agents: chatbots, avatars, en robots. Chatbots zijn applicaties die geen virtuele of fysieke belichaming hebben en voornamelijk communiceren via gesproken of geschreven verbale communicatie (Araujo, 2018;Dale, 2016). Avatars hebben een virtuele belichaming, waardoor ze ook non-verbale signalen kunnen gebruiken om te communiceren, zoals glimlachen en knikken (Cassell, 2000). Robots, ten slotte, hebben een fysieke belichaming, waardoor ze ook fysiek contact kunnen hebben met gebruikers (Fink, 2012). Conversational agents onderscheiden zich door hun vermogen om menselijk gedrag te vertonen in service-interacties, maar op de vraag ‘hoe menselijk is wenselijk?’ bestaat nog geen eenduidig antwoord. Conversational agents als sociale actoren Om succesvol te zijn als dienstverlener, is kwalitatief hoogwaardige interactie tussen servicemedewerkers en klanten van cruciaal belang (Palmatier et al., 2006). Dit komt omdat klanten hun percepties van een servicemedewerker (bijv. vriendelijkheid, bekwaamheid) ontlenen aan diens uiterlijk en verbale en non verbale gedrag (Nickson et al., 2005; Specht et al., 2007; Sundaram & Webster, 2000). Deze klantpercepties beïnvloeden belangrijke aspecten van de relatie tussen klanten en dienstverleners, zoals vertrouwen en betrokkenheid, die op hun beurt intentie tot gebruik, mond-tot-mondreclame, loyaliteit en samenwerking beïnvloeden (Hennig-Thurau, 2004; Palmatier et al., 2006).Er is groeiend bewijs dat de uiterlijke kenmerken en communicatieve gedragingen (hierna: menselijke communicatieve gedragingen) die percepties van klanten positief beïnvloeden, ook effectief zijn wanneer ze worden toegepast door conversational agents (B.R. Duffy, 2003; Holtgraves et al., 2007). Het zogenaamde ‘Computers Als Sociale Actoren’ (CASA paradigma vertrekt vanuit de aanname dat mensen de neiging hebben om onbewust sociale regels en gedragingen toe te passen in interacties met computers, ondanks het feit dat ze weten dat deze computers levenloos zijn (Nass et al., 1994). Dit kan verder worden verklaard door het fenomeen antropomorfisme (Epley et al., 2007; Novak & Hoffman, 2019). Antropomorfisme houdt in dat de aanwezigheid van mensachtige kenmerken of gedragingen in niet-menselijke agenten, onbewust cognitieve schema's voor menselijke interactie activeert (Aggarwal & McGill, 2007; M.K. Lee et al., 2010). Door computers te antropomorfiseren komen mensen tegemoet aan hun eigen behoefte aan sociale verbinding en begrip van de sociale omgeving (Epley et al., 2007; Waytz et al., 2010). Dit heeft echter ook tot gevolg dat mensen cognitieve schema’s voor sociale perceptie toepassen op conversational agents.
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Hoe kun je als organisatie in het publieke domein de digitale transitie zo inrichten dat deze zowel voor de organisatie als voor klanten succesvol is? Uit onderzoek blijkt dat het belangrijk is dat deze dienstverlening persoonlijk wordt. In dit artikel gaan we verder in op de uitkomsten van dit onderzoek. Ook delen we een experiment met een chatbot die een voorbereiding van het gesprek met de medewerker aanbiedt.
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Full text via link. Op alle social media zou een grote sticker moeten zitten met de opdruk Don’t Jump for the tool! Zeker als communicatieadviseur is de verleiding groot social media uitsluitend te zien als een makkelijk in te zetten communicatiemiddel. Er slingert altijd wel een aansprekend voorbeeld rond dat omarmd kan worden en als piketpaaltje in de grond kan worden geslagen met de woorden ‘zoiets’. En mocht zo’n voorbeeld zich onverhoopt niet opdringen, dan is er nog altijd de klant zelf die social media met de gevleugelde woorden ‘moeten we niet iets met Twitter’ op de agenda zet. Biedt daar maar eens weerstand aan.
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Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.
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Internationalizing curricula. Needs and wishes of alumni and employers with regard to international competencies. Internationalization has become of great importance for universities acrossthe globe. The labour market is becoming international, with internationalopportunities and international competition. Emerging markets such as India, China and Russia are gaining economic power. Global challenges demand world-wide solutions. Production and marketing networks span the globe and various forms of migration have resulted in a large cultural diversity within nations. As a result, societies and labour markets are changing as well. In order to deal with these societal changes adequately and to succeed in today’s labour market, graduates need to be equipped with international competencies. In a survey among 500 chief executives, ICM Research (on behalf of Think Global and The British Council, 2011) showed that employers strongly value staff members who are able to work in an international and multicultural environment. Similar results were found in Diamond et al. (2011), in which ‘multicultural teamwork’ was considered most important. The Hague University of Applied Sciences seeks to prepare its students adequately for the world of tomorrow. The University’s development plans (e.g. HogeschoolOntwikkelingsPlan, HOP 7, 2009-2013 and HOP 8, 2014-2017) indicate that its vision is to train students to be globally-minded professionals with an international and multicultural perspective, who are world-citizens, interested in global issues and able to deal with diversity in a constructive manner. They are to be professionals, who possess the competencies to function well in an international and intercultural environment. Internationalization is therefore high on the agenda of The Hague University of Applied Sciences (THUAS) which is illustrated by the fact that, as of 2014, new students in all academies have to fill 12.5% (30 ECTS) of their four-year Bachelor program with international activities. These activities can range from an internship or semester abroad (student mobility) to participating in full programs of study or minors in which English is the medium of instruction, or an internationally themed minor (Internationalization at Home, IaH). And this is only the beginning. Internationalization is a means, not an end. All THUAS courses are looking into ways in which they can internationalize their curriculum. And in doing so, they need to be innovative (Leask, 2009) and keep in mind the specific needs and wishes of alumni and their employers with regard to international competences. The THUAS research group International Cooperation supports these internationalization policy objectives by investigating various aspects, such as: • The acquisition and development of international competencies among students. • The extent to which lecturers possess international competencies and what their needs and wishes are for further development. • The international competencies THUAS graduates have acquired as part of their degree and how THUAS has stimulated this development. • The international competencies that employers and alumni consider important. Although international competencies and employability have received growing attention in internationalization research, existing studies have mainly focused on: • The effects of study abroad on the development of international competence (cf. Hoven & Walenkamp, 2013). • The effects of an experience abroad (study, internship, voluntary work) on employability. • A more general analysis of the skills employers look for in prospective employees.
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Twitter timelines are increasingly populated with brand tweets that are linked to public events, a practice that is also known as real-time marketing (RTM). In two studies, we examine whether RTM is an effective strategy to boost sharing behavior, and if so, what event- and content-related characteristics are likely to contribute to its effectiveness. A content analysis of brand tweets from Nielsen’s top-100 advertisers (n=1500) shows that not all events are equally effective. RTM is only a more effective strategy (vs. no real-time marketing), when brand messages are linked with unpredictable events but not when brand messages are linked with predictable events. In a follow-up study, we examined what content characteristics improve the shareability of predictable RTM messages. A content analysis of RTM messages (n=143) from the Forbes top-100 brands showed that predictable events yield more retweets when the event is visually integrated in the brand tweet (vs. not visually integrated). The presence of event-driven hashtags did not lead to more retweets. Implications for theory and practice are discussed.
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Algorithmic affordances are defined as user interaction mechanisms that allow users tangible control over AI algorithms, such as recommender systems. Designing such algorithmic affordances, including assessing their impact, is not straightforward and practitioners state that they lack resources to design adequately for interfaces of AI systems. This could be amended by creating a comprehensive pattern library of algorithmic affordances. This library should provide easy access to patterns, supported by live examples and research on their experiential impact and limitations of use. The Algorithmic Affordances in Recommender Interfaces workshop aimed to address key challenges related to building such a pattern library, including pattern identification features, a framework for systematic impact evaluation, and understanding the interaction between algorithmic affordances and their context of use, especially in education or with users with a low algorithmic literacy. Preliminary solutions were proposed for these challenges.
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The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize these evaluations, we explored the suitability of the interaction qualities framework as proposed by Lenz, Dieffenbach and Hassenzahl. During this examination, we uncovered four challenges within the framework itself, and an additional external challenge. In studies examining the interaction between user control options and interaction qualities, interdependencies between concepts, inconsistent terminology, and the entity perspective (is it a user’s trust or a system’s trustworthiness) often hinder a systematic inventory of the findings. Additionally, our discussion underscored the crucial role of the decision context in evaluating the relation of algorithmic affordances and interaction qualities. We propose dimensions of decision contexts (such as ‘reversibility of the decision’, or ‘time pressure’). They could aid in establishing a systematic three-way relationship between context attributes, attributes of user control mechanisms, and experiential goals, and as such they warrant further research. In sum, while the interaction qualities framework serves as a foundational structure for organizing research on evaluating the impact of algorithmic affordances, challenges related to interdependencies and context-specific influences remain. These challenges necessitate further investigation and subsequent refinement and expansion of the framework.
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Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, but there is much disquiet over problematic and dangerous implementations of AI, or indeed even AI itself deciding to do dangerous and problematic actions. These developments have led to concerns about whether and how AI systems currently adhere to and will adhere to ethical standards, stimulating a global and multistakeholder conversation on AI ethics and the production of AI governance initiatives. Such developments form the basis for this chapter, where we give an insight into what is happening in Australia, China, the European Union, India and the United States. We commence with some background to the AI ethics and regulation debates, before proceedings to give an overview of what is happening in different countries and regions, namely Australia, China, the European Union (including national level activities in Germany), India and the United States. We provide an analysis of these country profiles, with particular emphasis on the relationship between ethics and law in each location. Overall we find that AI governance and ethics initiatives are most developed in China and the European Union, but the United States has been catching up in the last eighteen months.
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