Samenvatting lectures Communicatie van service-organisaties (juni 2011) Session 1, April 18, 2011 Service communication, service quality, service marketing Public perception of (customer) service quality is low! (see Basta (Belgian TV): revenge on Mobistar) Service communication = service delivery = service quality Service delivery = service marketing Services >> e-services >> self-service 7 new challenges 1. Findability 2. Comprehensibility 3. Check for eligibility 4. Applicability 5. Self-Service recovery 6. Escalate to human agent (and de-escalate!) 7. Word-of-mouse Exam Mix of multiple choice, short answer and open questions Focusing on knowledge, application and insight Examples of questions will be posted at BB 5.5 or higher to pass the exam Exam date July 1, 2011 Schedule Date Topic Lecturer 18-4 Intro TvdG/AP 2-5 ServQual model AP 9-5 Service expectations AP 16-5 Waiting times AP 17/18 -5 Workshop + ? site visit Project (p)review AP/TvdG 23-5 + Guest presentation E-service channels TvdG 30-5 Personalisation, web care TvdG 6-6 Trust in e-service TvdG 7/8-6 Workshop Project (p)review TvdG/AP What is Service? The Old View Service: a technical after-sale function that is provided by the service department. The New View every interaction between any customer and anyone representing the company, including: Characteristics of Services Compared to Goods (Intangibility = ontastbaarheid, Heterogeneity = ongelijksoortigheid, Perishability = vergankelijkheid, eindigheid, sterfelijkheid, tijdelijkheid) 4 implications of Intangibility: Services cannot… …be inventoried (worden geïnventariseerd) …be easily patented …readily displayed or communicated Pricing is difficult 3 implications of Heterogeneity Service delivery and customer satisfaction depend on… …employee and customer actions …many uncontrollable factors no sure knowledge that service delivered matches what was planned and promoted 4 implications of Simultaneous Production and Consumption: Customers participate in and affect transaction Customers affect each other Employees affect service outcome Decentralization may be essential Mass production is difficult 2 implications of Perishability It is difficult to synchronize supply and demand with services Services cannot be returned or resold Why study Services Marketing? Traditional Marketing Mix All elements within control of the firm that communicate firm’s capabilities and image to customers or that influence customer satisfaction with firm’s product and services: 1. Product 2. Price 3. Place 4. Promotion Expanded Mix for Services –The 7 Ps 5. People (is the receptionist helpful?) 6. Proces (how long is the wait?) 7. Physical evidence (is the waiting area clean and comfortable?) Dit zijn de 3 p’s die voor services aan traditionele marketingmix zijn toegevoegd. Al deze elementen komen in elk dienstverleningsproces voor. Mate van belangrijkheid verschilt per service encounter, al zijn ze voor face-to-face allemaal even belangrijk. Expanded Marketing Mix for Services The Customer Gap Alternative perspective: Osterwalder Business modeling The e-service / self-service process: in search for a bike locker Service recovery – escalation (1) CWI A dodo living near the Nile tells you: ‘We do not have that file.’ Service recovery – escalation (2) OEPS, nu komt de aap uit de mouw. Er is iets misgegaan, deze pagina bestaat niet. 10 Research Objectives for Services Doelstelling is om... ...klantverwachtingen omtrent service te ontdekken; ...gaps tussen klantverwachtingen en –percepties te beoordelen; ...klantverwachtingen voor nieuwe service te bepalen; ...toekomstige verwachtingen van klanten te voorspellen. ...veranderde klantverwachtingen te monitoren; ...ontevreden klanten te identificeren, zodat deze teruggedrongen kunnen worden d.m.v. service recovery; ...service performance (prestatie) te monitoren en volgen; ...service performance van individuele en teams te beoordelen voor evaluatie, erkenning en beloningen; ...overall performance vergelijken met die van concurrentie; ...effectiviteit van veranderingen in geleverde service te peilen; Stages in the (Marketing) Research Process 4 means for answering questions Ask customers directly o mail, phone, face-to-face, online o one-on-one, in groups, formal/informal Observing customers o anthropological tools, qualitative depth Get information from employees and front line service providers Database marketing research o use customer information files o “capture” behavior through data analysis For next week Read chapter 1-4 Lecture 2: Service Quality & Customer Loyalty What’s the deal in customer services? What is service quality, and what triggers it? Pitfalls in service communication Congress of the ICA, New Orleans Communication of Service Organisations (Yankee style) CSO sets the tone for interaction, It…: …creates expectations …affects experiences …involves personal touch ‘Our’ Cashier… ‘Traditional’ services marketing literature Customer satisfaction… (1) …most strongly influenced by perceived quality of the service (Oliver, 1980) (2) …strongest predictor of customer loyalty (Reichheld, 1997) So, what exactly makes a consumer service be perceived as high quality? The SERVQUAL scale 5 dimensions of service quality (Zeithaml, Parasuraman & Berry, 1988) Quality assessments are based on Waarom verwachtingen zo belangrijk bij diensten? Diensten hebben bijna sterk experience (of soms zelfs credence) karakter. Bij producten domineren vaak search kenmerken (kleur, geur, smaak, techniek, materiaal). Economics of Information Theory (Nelson, 1970; Darby en Karni, 1973) Diensten zijn variabel in kwaliteit (situatie, personeel, aanbod van ‘grondstoffen’). Je bent als klant voortdurend bezig je verwachtingen bij te stellen. Discrepancies between expectations and experiences Other factors of influence Crucial role of tangibles Tangible elements affect patients’ assessments of reliability, responsiveness, assurance, and empathy of the service provider (e.g., health institutions) (Baker & Cameron 1998; Bitner, 1992: the “Servicescape”) Attractive waiting environments make waiting times feel shorter (Pruyn & Smidts, 1992; 1993; 1998; Van Hagen, 2011) The Servicescape (Bitner, 1992) People appear to process global impressions of the environment Total configuration of stimuli (what you see, feel, hear and smell) influences the thinking, feeling and physiology of the customer/patient 3 dimensions of the environment: 1. (Atmo)Spherics 2. 3. Spatial lay-out and functionality: Style, signals and symbols: Servicescapes in de gezondheidszorg … en zelfs in het onderwijs … (temperature, lighting, sound, smells, colour) especially important in ‘emotional’ service situations: anxiety/stress important in waiting areas and e.g. self-service appear to influence first impressions and perceptions of price/quality … bij de tandarts … Objective of the excercise: creating loyalty Customer loyalty (Lovelock, 2000): = customer’s willingness to continue patronising a firm over a long term, purchasing and using its goods and services on repeated and preferably exclusive basis, and voluntarily recommending the firm […] to friends and associates However: (Pruyn & Ricketts, 2002) in a qualitative study among 10 (Spanish and Dutch) periodontist practices it appeared that in medical services another type of loyalty is even more important Loyalty to the medical ‘contract’ Loyalty to the… …service provider is based on trust (thinking, feeling), and affects repeat buying, word-of-mouth, and reputation …medical ‘contract’ is based on motivation to cooperate (behaviour) with the care provider and to behave as an ‘obedient patient’; it appears to more strongly affect the perceived service quality (cooperation often leads to better results) and the server’s (doctor’s) motivation. In dentistry: how do we motivate patients to pursue treatment; how do we set their minds as a ‘prosumer’? The “exacerbation loop” Customer Loyalty (type 1): The manager’s perspective Reichheld (1996): Step 1: finding the right customer (segmentation) and target their needs (→ steady cash flows) Step 2: re-invest cash flow surplus (→ earn continued loyalty) by: o hiring and retaining superior employees o investing in service equipment o service environment Characteristics of successful service (or sales) employees Churchill et al. (1985): Meta-analysis 116 articles 6 most important determinants of success: 1. personal characteristics (physical appearance; social background; training/experience; life style) 2. abilities (communication, persuasion; raising interest; cooperation) 3. role variables (impression management; ethics and general style) 4. personality (capacities; self-confidence; attractiveness) 5. motivation (drive; extra investments) 6. organisation and (competitive) environment These (116) studies (Almost) all deal with business-to-business services/sales Criterion for success is always from the perspective of the entrepeneur (sales volume, number of orders, etc.) Questions: What determines success in consumer markets? Are these criteria for success identical for sales managers, consumers, and sales employees themselves? Pruyn & Smidts (2000) 18 consumer stores (cars, furniture, electronics, liquor, books) Sales manager: Who is the “best” salesperson; who is the “worst”? Questionnaire: Grademarks (1-10) for the “best” and the “worst” assessment of “best” and “worst” on 30 characteristics (7-pointscales) o is trustworthy o is respectful to the client o displays empathy, etc. how important are these 30 characteristics (7-pointscales) Finally: “best” en “worst” salesmen self-assessment on the (30) characteristics in every shop: one customer of “best” and one customer of “worst” assess their sales clerck on the same 30 characteristics (N=90) respo’s: 18 sales managers, 18 “best”, 18 “worst”, 36 customers Conclusions 30 characteristics 3 salient dimensions: objectivity – reliability – honesty - empathy (ethos) expertise – knowledge – experience - consulting skills (logos) likeability – friendliness – politeness - physical attractivenem (pathos) Aristotle (Pisteis): 3 dimensions in rhetoric: ethics, argumentation, emotional appeal 3 perspectives on what is important On the attribute level: Sales managers: friendliness, neatness Customers: product knowledge MANOVA, multivariate F = 5.52, p < .001 No differences between “best” and “worst” salespeople Assessment of sales performance “Worst” salespersons perceive themselves as worse on all dimensions than “best” salespersons, but tend to overrate themselves compared to their managers * “Best” and “worst” salespersons as appointed by their sales managers Recapitulatie Bij servicekwaliteit spelen zowel verwachtingen als ervaringen een belangrijke rol Servicekwaliteit kent 5 dimensies: betrouwbaarheid, responsiviteit, imago, empathie en de tastbare elementen Goede verkopers scoren hoog op logos, pathos en ethos; pleasing the boss vs pleasing the customer Lecture 3: Service Expectations & Experiences Previous lecture Service Quality, Customer Satisfaction and Customer Loyalty Today’s lecture Disconfirmation: customers’ level of expectations serves as a standard for the evaluation of experiences (Oliver, 1980) Expectations can be based on (4): previous encounters with the product/service (mouth-to-mouth) advertising the (good) reputation of the service provider (assurance) etc …. the servicescape (the physical environment sets the stage for quality expectations and assessment) Disconfirmation according to Oliver Alternative findings ‘Traditional’ Services Marketing has… … (almost) exclusively focused on Quality Management and Experiences (customer as a conscious information processor; cognitive/rational or emotionaldecision making) …not yet fully explored the possibilities of Expectation Management (often by subtle cues in the environment: unconscious information processing) o change the ‘formula’ (re-positioning) o priming (Keizer, Lindenberg & Steg (2008): littering) o framing Framing The ‘good old Sixties’: the shopping list study Assess the personality of this … ‘housewife’ … on the basis of her shoppinglist … condition 1: toiletcleaner, cheese, cornflakes, coffee, matches, …. etc. relaxed, open, friendly, ambitious, … condition 2: toiletcleaner, cheese, cornflakes, Nescafé, matches, …. etc. sleezy, flegmatic, hostile, unambitious, … A modern version: the choice options in an ‘offer’ by The Economist for a yearly subscription (Ariely, 2009) 16% A: Online subscription for € 59 0% B: Print version for € 125 84% C: Print + online version for € 125 The decoy option (often used in the assortments of supermarktets, realestate brokers, …) Hoi Roderik, Ik ben even mijn aantekeningen ingedoken en eigenlijk gaan beide artikelen over framing in de fysieke omgeving. Framing houdt puur in dat je elementen afhankelijk van de context evalueert (80% overlevingskans klinkt positiever dan 20% gaat dood). Framing in the physical environment Donald Norman, 2008 Het onderzoek van Norman weet ik zo 1, 2, 3 niet meer. Het ging er geloof ik om dat de indeling van de ruimte effect heeft op de verwachting van mensen. Hoi! Framing lijkt een beetje op priming, maar bij primen richt je je maar op 1 element (bijv. de icetea prime), bij framing wordt er als het ware een hele context geprimed (de omgeving). Die Norman zegt dat bij het lange termijn geheugen emoties belangrijk zijn, framing kan inspelen op die emoties. Framing in the physical environment Verhoeven, Van Rompay & Pruyn, 2008 Verhoeven, Van Rompay & Pruyn, 2010 Bij Verhoeven, van Rompay & Pruyn (2008) kwam eruit dat de betekenis van één element (de rechaud) in de omgeving effect heeft op de (kwaliteits)verwachting. Onderzoek Verhoeven, van Rompay, Pruyn (2008): bij de zelfbedieningslook en ongedekte tafels heb je minder geld over voor het restaurant Het onderzoek van Verhoeven, van Rompay & Pruyn (2010) ging over de kleur in ziekenhuiskamers en daar kwam uit dat mensen sneller herstellen in blauwe kamers. Met name chronische patiënten. Het onderzoek over de NS is gewoon hetzelfde als die van Galetzka al 1000xheeft verteld in haar college.Kan je zo verder?Groetjes Onderzoek Verhoeven, van Rompay & Pruyn (2010): dit heb ik zelf ook niet helemaal meegekregen, maar ik dacht dat het zo was dat bij de experimentele kamer met de blauwe muren de mensen mindere klachten hebben, dit was dan alleen voor chronische patienten ofzo. Ik snap die grafiek wat erbij zit ook niet helemaal want op de y-as staat niks, misschien dat hier vermindering van klachten moet staan. Public Spaces: “Proefstation” Leiden CS (2008) (Dissertation Mark van Hagen, 1 April 2011) Dissertatie Mark van Hagen, je kunt ook stations framen. Hier heeft hij maar kort wat over gezegd maar gebaseerd op wat Galetzka hierover heeft gezegd gebruik je koele kleuren voor must reizigers en warme voor lust reizigers? In de bijlage mijn samenvatting van de colleges, ik ben nu bij college 4 waar ik halverwege weg moest, dus als ik vragen heb dan mail ik je eventjes ;) The virtual station Leiden (van Hagen, Galetzka & Pruyn) Colour and light Waiting experience Music Infotainment Peak & Off-peak Lust & must Experience = Optimal / Arousal Colour and light Music Waiting experience cf.: North, Hargreaves & McKendrick (1999): French/German music in supermarkets Infotainment Unconscious Processes! Wrap-up lecture 2 & 3 What’s important to customers in services: Quality (expectations and experiences) Priority (feeling ‘acknowledged’ through personnel and atmospherics) Next lecture Time (processing speed and queuing) Kotler (1992): In a growing service economy: Time will become (more and more of) a precious commodity (maybe even more than money) For entrepreneurs: customer demands for quality time the importance of adequate time management Turbo Marketing The competitive tool in financial services (banking) delivery services (food, transport) services on appointment (health care) Pruyn & Smidts (’92): Diary Study 243 respondents, 7 days People spend more than ½ hour per day waiting Most frequently: Average waiting times: o in shops/supermarkets 22% 8 min o in traffic 22% 11 min o business relations 14% 22 min o services with a desk 9% 8 min o services on appointment 5% 26 min A special case: healthcare services (Dutch) Consumer Reports (1990): Waiting times in hospital clinics long waiting lists for appointments mean waiting time in hospital clinics: 39 minutes 1400 Years of Wasted Time Yearly Conclusions from these first studies 1. relevant problem 2. irritation about waiting strongly affects the total quality judgment of the consumer (olievlek-werking) 3. subjective time experience is a better predictor of customer satisfaction than the objective (clocked) waiting time 4. waiting environment is very important (both distracter as well as ‘mood inducer’) 5. information (communication with the customer) about causes and consequences of waiting is crucial Recapitulatie Disconfirmation and Satisfaction with the service Expectations are often set by subtle cues in the environment (unconsciously) Kwaliteit, Prioriteit & Tijd (kernwaarden in service management) Lecture 4: Time in Service Processes Wrap-up lecture 2 & 3 What’s important to customers in services: Quality (expectations and experiences) Priority (feeling ‘acknowledged’ through personnel and atmospherics) This lecture Time (processing speed and queuing) EERSTE DEEL EXACT ZELFDE ALS LAATSTE DEEL LECTURE 3!!! Kotler (1992): In a growing service economy: Time will become (more and more of) a precious commodity (maybe even more than money) For entrepreneurs: customer demands for quality time the importance of adequate time management Turbo Marketing The competitive tool in financial services (banking) delivery services (food, transport) services on appointment (health care) Pruyn & Smidts (’92): Diary Study 243 respondents, 7 days People spend more than ½ hour per day waiting Most frequently: Average waiting times: o in shops/supermarkets 22% 8 min o in traffic 22% 11 min o business relations 14% 22 min o services with a desk 9% 8 min o services on appointment 5% 26 min A special case: healthcare services (Dutch) Consumer Reports (1990): Waiting times in hospital clinics long waiting lists for appointments mean waiting time in hospital clinics: 39 minutes 1400 Years of Wasted Time Yearly Conclusions from these first studies 1. relevant problem 2. irritation about waiting strongly affects the total quality judgment of the consumer (olievlek-werking) 3. subjective time experience is a better predictor of customer satisfaction than the objective (clocked) waiting time 4. waiting environment is very important (both distracter as well as ‘mood inducer’) 5. information (communication with the customer) about causes and consequences of waiting is crucial VANAF HIER NIEUW DEEL!! Service Managers are not very timesensitive Pruyn (1994, 2002): 34% of store managers ignore customer frustration with long waiting lines. of the others, 90% concentrate on technical solutions for speeding up service; only 10% is interested in the customer. Pruyn (2000): 8 out of 10 periodontists* admit that scheduling problems exist in their offices all indicate to have no knowledge about the management of queues o how to deal with customers o mathematical solutions to scheduling problems *een tandarts gespecialiseerd in o.a. behandeling van problemen aan tandvlees Mathematical Approach Since 1905 in Operations Research and Operations Management The optimal fit between ‘demand’ and ‘supply’ of services o how long does the average service last? o variability in service times o standardization of services Any questions? 1) Reduce variability (pooling) 2) Maximize flexibility of capacity 3) Segment customers/tasks ‘Psychological’ Approach Pruyn & Smidts (1992, ’93, ’94, ’98): o How can we influence the perception of time? o What determines the appraisal of the wait? o How should we deal with customer frustration? (communication) o The role of mood in service operations Maister (1985): Eight laws of waiting Maister (1985): 8 laws of waiting Customers will experience waiting times to be shorter and thus will be more satisfied, when (8): (1) they have something to do during waiting (distraction) (2) they are in-process of a service (3) they don't experience anxiety about what they are waiting for (4) they know how long they have to wait (5) reasons for delay are explained (6) queue discipline is perceived to be fair (7) they are waiting together with other people (8) the service is perceived to be valuable Distraction: a TV in the waiting room Pruyn & Smidts (1998): Poli-tv: a TV-video system in waiting rooms of hospital polyclinics entertainment programmes interrupted by com- & infomercials free service to hospitals paid for by advertisers adopted by 20% of Dutch hospitals (two years after introduction) Subjects: 3 hospitals Several waiting rooms per hospital N=337 Ss. (210 women) 2 experimental conditions: TV turned on (N=180) TV turned off (N=157) Experimental procedure Every tenth visitor selected for participation Observations: o arrival time o departure time (entering physician’s room) Objective time spent in the waiting room Upon consultation, subjects were intercepted and asked to fill out a self-administered questionnaire (response rate 70%) Questionnaire Time of appointment Calculation of objective waiting time Perceived time spent: subjective estimate (in minutes) of time span between arrival and start of consultation Perceived waiting time: subjective estimate (minutes) between appointment time and start consultation Acceptable waiting time (in minutes) Appraisal of the wait (5-point scales) Perceived attractiveness of the waiting environment (5-point scales) Overall satisfaction with the service Background characteristics Resultaat in eerste instantie geen enkele significante resultaten Resultaat in tweede instantie wel significante resultaten na bestudering van wie wel/niet naar tv had gekeken TV-watchers appear to overestimate the waiting time; They are more negative about the wait and are less satisfied 2 types of TV-watchers in waiting rooms: A: watch TV time passes more quickly less irritation with wait B: lengthy wait look for distraction watch TV programming of TV-video/commercials The influence of Objective WT on satisfaction is almost completely mediated by Subjective WT (experience) it’s better to invest your money in perception management (make the wait feel shorter) than in technical solutions to speed up service An attractive waiting environment increases overall satisfaction, and Decreases irritation with the wait Study 2 What about the presence of other waiting customers? Do ‘fellow-sufferers’ make the wait more tolerable? Maister (1985): GROUP waits are less bad than SOLO waits distraction shared grief In Social Psychology: Social Affiliation Theory (Schachter,1959) In many occasions people prefer the presence of others, especially when they feel uncertain or anxious. (Other people may provide info to reduce uncertainty (“how long will this take?”) or anxiety (“will I catch my plane?”) Social Facilitation Theory (Zajonc, 1965) The mere presence of others enhances ‘dominant responses’. In waiting rooms (in the case of long waits): the effect of waiting with others will be an overestimation of time and more irritation Pruyn & Smidts (1999) Effects of the presence of ‘fellow sufferers’ in waiting rooms of family doctors Subjects: Regular patients (N=98) Design: Between-subjects, two groups Solo (40) vs. Group (58) Dependent Variables Subjective waiting time (in minutes) Acceptability of the wait Preference (solo, group, indifferent) Covariates Objective waiting time (in minutes) Pleasantness of the waiting room (4 attrib's) Anxiety about the pending treatment Uncertainty about the length of the wait Age, Sex Findings General Mean objective waiting time: 11.2 minutes Mean estimated waiting time: 9.2 minutes Acceptability of waiting 13% Finds the wait (very) unacceptable The longer the OWT the less acceptable the wait (r = -.22; p < .02) dominant response short waits: acceptance long waits: non-acceptance Ancova 1: OWT and Social Presence covariates: attractiveness waiting room uncertainty about duration anxiety about treatment dep var: acceptability of the wait social presence enhances the dominant response OWT x SP: F=5.72 (p< .02) - Short waiting times (dom.resps = acceptance) enhanced in a group - Long waiting times (dom.resps = neutral/non-acceptance enhanced in a group the more attractive the waiting room, the more acceptable the wait (t=1.86; p<.04) the more uncertainty about the length of the wait, the less acceptable the wait (t=1.79; p <.04) no effect of anxiety about the treatment (p>.90) Findings Preferences for solo or group waiting 46% no clear preference 18% prefers to wait alone 36% prefers waiting with others Patients uncertain about the length of the wait prefer waiting with others (p <.03) Anxious patients prefer waiting with others (p <.04) Conclusions Results support - Affiliation Theory - Facilitation Theory Customers prefer to wait with other patients when they feel uncertain (waiting time; treatment) But Waiting with fellow ‘sufferers’ may make the wait appear longer and makes the wait less acceptable when waiting times are long! It’s not always in the organization’s interest to pool subjects whilst waiting! Management Implications 1. Try to avoid group waits, particularly when waiting times are high 2. Design of the waiting room 3. Invest in an attractive waiting environment Objectieve WT en subjectieve beleving Wat bepaalt of de tijd “kruipt” of “vliegt”? Onder welke condities is wachten meer/minder aangenaam? (Inrichting van de wachtruimte en organisatie van het “rijen”systeem) Welke rol speelt o Rechtvaardigheid o attributie van oorzaken o haast/ongeduld o controle(behoefte) o afleiding Wat weten we (uit deze studies)? Van groot belang: o gepercipieerde controle o info over de oorzaken/duur van de WT (onzekerheid) o inrichting van de wachtruimte (tolerantie zône tav tijd!) Minder, maar wel van belang: o gepercipieerde rechtvaardigheid o de waarde/risico (exclusiviteit) van de dienst o focussing op tijd (‘a watched pot never boils’) Oppassen met: o afleiding (TV in wachtruimtes) o alleen/samen met anderen wachten (ruimte ontwerp!) Probleem voor het management De optimale trade-off tussen: kosten verbonden aan het laten wachten van klanten (ergernis, klantenverlies, etc.), en kosten die je maakt voor een snelle service (extra personeel, andere rijenorganisatie) Zelfs met een ‘onbeperkt’ budget zijn wachtrijen nauwelijks te voorkomen en (soms) zelfs gewenst de meeste ‘winst’ valt te behalen door een adequate analyse van de psychologie van het wachten: omgevingspsychologie (architectuur, inrichting), design en emotie, bewuste en onbewuste info verwerking Opvallende ‘missers’ weinig referentie naar eigen (getoetste) inzichten (worden effecten van interventies in de eigen organisatie systematisch onderzocht?) (nog steeds) weinig ‘gevoel’ voor de potentie van de psychologie (van beïnvloeding) het belang van tijd voor de consument de mogelijkheden om concurrentieel voordeel te halen uit slim wachttijdenmanagement (Shell) veel ‘praktische’ inzichten/ingrepen lijken gebaseerd op ‘gevoel’ en weinig op ‘theorie’ Session 5, May 23 , 2011 1. The 7 Ps, nut now for e-services / 2. gastcollege Nancy Thalen (RABO/Interpolis) The 7 Ps, but now for e-services Product Price Place Promotion People: Physical Evidence: Process: All human actors who play a part in service delivery and thus influence the buyer’s perceptions: namely, the firm’s personnel, the customer, and other customers in the service environment. The environment in which the service is delivered and where the firm and customer interact, and any tangible components that facilitate performance or communication of the service. The actual procedures, mechanisms, and flow of activities by which the service is delivered—the service delivery and operating systems. So what …. If service communication or service marketing is mediated … we can look at it from a media perspective: Acceptance and adoption of technologies What makes people decide to start using the technology, the service channel? Design, use, user experience Which groups are using particular channels, how to create a good UX in the service design? Effects What kinds of effects and affects can (not) be achieved through the e-channels? How does it work? From lecture 3 Organizational challenges (1): Integrating front office and back office systems Example: a hotel/residences chain Organizational challenges (2): Multichannel management Aligning various service/communication channels, e.g. telephone, desk/f2f, website: integrated (services marketing) communication Example: Amsterdam = 1 (Visie dienstverlening, 2010) ”De burger ziet de gemeente als een organisatie en verwacht dus ook in de dienstverlening één stem. Welk kanaal hij ook kiest voor zijn eerste contact [..] hij verwacht dat de gemeente hem kan helpen, of dit nu met een antwoord is, met een product of met een doorverwijzing. Uitgangspunt 2: We zijn eenduidig in onze contacten met de burger wat betreft vorm, inhoud en bejegening Uitgangpunt 3: Wij bieden onze producten en informatie aan op alle communicatiekanalen”. Organizational challenge 3: Customer relation management and personalization E-services quality gap model See for instrument for example: E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality Parasuraman, Zeithaml, Malhotra (2005) Journal of Service Research 7 (X, Feb 2005), 1-21 Interpolis. Glashelder. Nancy Thalen Met Rabobank en Achmea in één keten Rolverdeling Maatschappij Dienstverlening is gebaseerd op vertrouwen. In de categorie verzekeringen staat dit vertrouwen al decennialang onder druk. Marktperceptie: Marktverwachting: ‘als ze je al helpen gaat dat traag’, ‘ik ben gewoon een nummer’ ‘ik wil dat ze doen wat ze beloven’, ‘met mij meedenken’ Waarom Glashelder? ‘Glashelder’ (extern) en ‘Helder Werken’ (intern). Extern: Vertrouwen terugwinnen. Geef vertrouwen en je oogst vertrouwen. Intern: Waarmaken wat je extern belooft. Merkambitie Interpolis is er voor klanten op momenten die ertoe doen. Dat mensen zich niet zomaar klakkeloos verzekeren, maar gezond verstand gebruiken. Meer manieren om met risico’s om te gaan --> consumenten hierop wijzen Interpolis. Glashelder Merkwaarden/persoonlijkheid Tastbaar maken wat ongrijpbaar is. Glasheldere oplossingen centraal. Geen loze beloften, extreem en concreet waarmaken wat helderheid voor klanten betekent: laat de bonnetjes maar thuis, wij geloven u zo ook wel koop maar vast een nieuwe, het geld is onderweg Medewerker: de 4 V’s Werkomgeving Multichannel strategie De klant kiest het kanaal Meten & weten Nodig om onze strategie te realiseren Verschillende bronnen voor meten & weten: afzetrapportages, marktonderzoek, websitestatistieken, klantonderzoek Klantonderzoek Rabobank in 2010 Bezoekreden/afhaakonderzoek – Metrixlab User experience onderzoek – User Experience lab Rabobank Benchmark onderzoek – Metrixlab Onderzoek koopintentie preventiediensten aan respondenten gevraagd... ...naar intentie om aangeboden Interpolis preventiemiddelen en/of diensten aan te schaffen. ...een mening te geven over aangeboden diensten, Interpolis, website en zichzelf. Constructen: Perceived Product Characteristics, Complexity, Subjective norm, Perceived Organizational Characteristics, Perceived Website Characteristics, Self efficacy, Financial resources, Domain Specific Innovativeness Session 6, May 30 , 2011 E-services: adoption of self-service, channel choice, trust The Gap model (ServQual) Technology acceptance model (TAM) (Davis, 1986) Acceptance of e-services Pieterson’s framework for channel choice decisions Self-service technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters Telephone, IVR Online/Internet Interactive Kiosks Video/CD Customer Service • Order status • Flight info • Package tracking • Account info • ATMs • Hotel checkout • ATMs • Hotel checkout Transactions • Telebanking • Prescription refills • Retail purchasing • Online banking • Pay at the pump • Hotel checkout • Pay at the pump • Hotel checkout Self-Help • Info telephone lines • Information search • Distance learning • Blood pressure machine • Tourist info • Tax preparation software • TV-based training Satisfying incidents categories Incident categories 1. 2. 3. Solves intensified needs Better than the alternative • Easy to use • Avoid service personnel • Saved time • When I want • Where I want • Saved money Did its job % 11 68 16 3 30 8 5 6 21 Dissatisfying incidents categories Incident categories 1. 2. 3. 4. Technology failure Process failure Poor design • Technology design problem • Service design problem Customer-driven failure % 43 17 36 17 19 4 What is trust (and what is not)? Credibility Trust Trustworthiness Initial trust formation in e-commerce Developing and Validating Trust Measures for e-Commerce: An Integrative Typology D. Harrison McKnight, Vivek Choudhury, CharlesKacmar (2002) Why not an alternative model? Morgan & Hunt (1994), The Commitment- Trust Theory of Relationship Marketing Citizen’s trust in Dutch e-government and DigID Th. van der Geest, A. Beldad (2010). Citizens’ trust in Dutch e-Government and DigID (report) Beldad, de Jong, Steehouder, Van der Geest (to appear in Government Information Quarterly, 2011) A cue or two and I'll trust you: Determinants of trust in government organizations in terms of their processing and usage of citizens' personal information disclosed online Detailed research model AVB Trust study Onderstaande is onleesbaar, zelfs na vergroten in sheets!! Determinants of intentions to continue using, use, and apply for DigID 2202 citizens about trust in e-government Experience with E-Government Services I have used a government website to do an online transaction. 1646 74.7 I have used the government website to look for information search only. 409 18.6 I have not used a government website to do an online transaction. 147 6.7 2,202 100 TOTAL Trust in Type of organizations Mean SD The government 6.63 1.78 Municipalities 6.76 1.66 The tax service office 7.07 1.77 Online banks 7.30 1.64 Online shops 5.49 1.84 Online insurance companies 6.35 1.75 Young respondents (under 25) have more trust than older (over 45): 7.1 against 6.5 Man have more trust than female respondents: 6.7 against 6.5 Citizens who have done business with e-government have more trust than people who only looked up online information or did not visit site: 6.8 against 6.2 against 5.8 Factors influencing intention to disclose, for people with e-government experience Onderstaande is onleesbaar, zelfs na vergroten in sheets!! …without e-government experience Onderstaande is onleesbaar, zelfs na vergroten in sheets!! Trust in DigID, for those using their DigID (n = 1663) Item Mean SD Problems with using DigiD 1. I find it inconvenient that DigiD expires. 3.76 0.97 2. I think DigiD is difficult to use. 2.22 0.85 2.74 1.02 2.61 1.12 3.83 0.86 3.95 0.78 4.12 0.90 3.88 0.86 3.91 0.86 3.78 0.97 3.67 1.07 3. DigiD is inconvenient because I will have an extra account name and password. 4. I think DigiD is an extra obstacle for transacting with a government organization online. Advantages of using DigiD 1. I think DigiD is easy to use. 2. I think DigiD is convenient because it enables me to access different online government services with one log-in account. 3. I think the advantage of DigiD is that it is free. 4. I find DigiD necessary. Trust in DigiD 1. I trust that DigiD will protect my personal information. 2. I trust that DigiD is adequately secure and protected. 3. I think that government organizations through DigiD can authenticate the identities of citizens before they enter into an online transaction. Trust in government agencies 1. The government 6.82 1.68 2. My municipality 6.91 1.57 3. The tax service office 7.27 1.63 3.98 0.57 3.76 0.77 3.68 0.77 Intention to continue using DigiD 1. I will continue using my DigiD to do online transactions with government organizations. 2. In see no problem in regularly using my DigiD. 3. I will recommend using DigiD to other people. Determinants of the behavioral intention to continue using DigID / to use DigID Determinants of the behavioral intention to apply for DigID Session 7, June 6, 2011 Trust, personalisation, integrated services marketing communication, webcare Last week’s agenda 1. A (new) media/channel perspective on service marketing and quality 2. Issues of self-service 2. The role of trust in e-services: 2 models 3. The role of trust in e-government services (Beldad & Van der Geest, 2010, 2011) This week’s agenda - Trust in online services (resulting in intention to use and provide personal, sensitive data to service provider) - Personalization of services: designing for a segment of 1 - Integrated services marketing communication - Webcare: a new customer service channel Webcare: a new form/channel of customer service The Gap model (ServQual) Citizen’s trust in Dutch e-government and DigID Th. van der Geest, A. Beldad (2010). Citizens’ trust in Dutch e-Government and DigID (report) Beldad, de Jong, Steehouder, Van der Geest (to appear in Government Information Quarterly, 2011) A cue or two and I'll trust you: Determinants of trust in government organizations in terms of their processing and usage of citizens' personal information disclosed online Detailed research model AVB Trust study Determinants of intentions to continue using, use, and apply for DigID 2202 citizens about trust in e-government Young respondents (under 25) have more trust than older (over 45): 7.1 against 6.5 Man have more trust than female respondents: 6.7 against 6.5 Citizens who have done business with e-government have more trust than people who only looked up online information or did not visit site: 6.8 against 6.2 against 5.8 Factors influencing intention to disclose, for people with e-government experience Factors influencing intention to disclose, for people without e-government experience Trust in DigID, for those using their DigID (n = 1663) Item Mean SD Problems with using DigiD 1. I find it inconvenient that DigiD expires. 3.76 0.97 2. I think DigiD is difficult to use. 2.22 0.85 2.74 1.02 2.61 1.12 3.83 0.86 3.95 0.78 4.12 0.90 3.88 0.86 3.91 0.86 3.78 0.97 3.67 1.07 3. DigiD is inconvenient because I will have an extra account name and password. 4. I think DigiD is an extra obstacle for transacting with a government organization online. Advantages of using DigiD 1. I think DigiD is easy to use. 2. I think DigiD is convenient because it enables me to access different online government services with one log-in account. 3. I think the advantage of DigiD is that it is free. 4. I find DigiD necessary. Trust in DigiD 1. I trust that DigiD will protect my personal information. 2. I trust that DigiD is adequately secure and protected. 3. I think that government organizations through DigiD can authenticate the identities of citizens before they enter into an online transaction. Trust in government agencies 1. The government 6.82 1.68 2. My municipality 6.91 1.57 3. The tax service office 7.27 1.63 3.98 0.57 3.76 0.77 3.68 0.77 Intention to continue using DigiD 1. I will continue using my DigiD to do online transactions with government organizations. 2. In see no problem in regularly using my DigiD. 3. I will recommend using DigiD to other people. Determinants of the behavioral intention to continue using DigID Determinants of the behavioral intention to use DigID Determinants of the behavioral intention to apply for DigID Provider Gap 4