Queues with Customer Induced Interruption

In this thesis we have introduced and studied the notion of self interruption of service by customers. Service interruption in queueing systems have been extensively discussed in literature (see, Krishnamoorthy, Pramod and Chakravarthy [38]) for the most recent survey. So far all work reported deal with cases in which service interruptions are generated by sources other than customers. However, there are situations where interruptions are due to the customers rather than the system. Such situations are especially arise at doctors clinic, banks, reservation counter etc. Our attempt is to quantify a few of such problems. Systematically we have proceed from single server queue (in Chapter 2) to multi-server queues (Chapter 3). In Chapte 4, we have studied a very general multiserver queueing model with service interruption and protection of service phases. We also introduced customer interruption in a retrial setup (in Chapter 5). All models (from Chapter 2 to Chapter 4) that were analyzed involve 'non-preemptive priority' for interrupted customers where as in the model discussed in Chapter 5 interruption of service by customers is not encouraged. So the interrupted customers cannot access the server as long as there are primary customers in the system. In Chapter 5 we have obtained an explicit expression for the stability condition of the system. In all models analyzed in this thesis, we have assumed that no more than one interruption is allowed for a customer while in service. Since the models are not analytically tractable, a large number of numerical illustrations were given in each chapter it illustrate the working of the systems. We can extend the models discussed in this thesis to several directions. For example some of the models can be analyzed with both server induced and customer induced interruptions the results for which are not available till date. Another possible extension of work is to the case where there is no bound on the number of interruptions a customer is permitted to have before service completion. More complex is the case where a customer is permitted to have a nite number (K ≥ 2) of We can extend the models discussed in this thesis to several directions.

Customer perceptions of Banking Products and Services in Kerala with reference to Specific Customer Segments in the Urban Area

As of 1999. the state of Kerala has 3210 offices of scheduled commercial banks (SCBS). In all, there are 48 commercial banks operating in Kerala, which includes PSBs, OPBs, NPBS. FBs, and Gramin Banks. The urban areas give a complete picture of the competition in the present day banking scenario with the presence of all bank groups. Semi-urban areas of Kerala have 2196 and urban areas have 593 as on March 1995.“ The study focuses on the selected segments ofthe urban customers in Kerala which is capable of giving the finer aspects of variation in customer behaviour in the purchase of banking products and services. Considering the exhaustive nature of such an exercise, all the districts in the state have not been brought under the purview of the study. Instead. three districts with largest volume of business in terms of deposits, advances, and number of offices have been short listed as representative regions for a focused study. The study focuses on the retail customer segment and their perceptions on the various products or services offered to them. Non Resident Indians (NRIs), and Traders and Small—ScaIe Industries segments have also been included in the study with a view to obtain a comparative picture with respect to perception on customer satisfaction and service quality dimensions and bank choice behaviour. The research is hence confined to customer behaviour and the implications for possible strategies for segmentation within the retail segment customers

Impact of Product Quality, Service Quality and Contextual Experience on Customer Perceived Value and Future Buying Intentions

Recognizing that high satisfaction leads to high customer loyalty, companies today are aiming for total customer satisfaction. This article explains relative impact of product quality, service quality and contextual experience on customer perceived value and intention to shop in the future. The data has been collected using a questionnaire from 205 customers of a national retailer chain. The relative importance of product quality, service quality and contextual experience on customer perceived value and thus on customer preference and future intentions was measured using multiple regression. Also, the contribution of perceived value to preference and thus on future buying intention was also measured. Structural Equation Model (SEM) using Amos 4 was used to find the overall fitness of the model. It was found that product quality, service quality and contextual experience have a major influence on customer perceived value

Cumulative Approach to Customer Satisfaction with Respect to Compact Segment Car Users

Earlier studies on measurement of customer satisfaction are based on either transaction specific or overall approaches. The transaction specific approach evaluates customer satisfaction with single components in the whole purchase process but the overall satisfaction was based on all the encounters or experiences to the customer throughout the purchase process. Consumers will comment on particular events of their purchase process when asked about transaction-specific satisfaction and they will comment their overall impression and general experiences in overall satisfaction (Bitner & Hubbert 1994) Through a critical review on the literature, it has been identified a new approaches to customer satisfaction, say, cumulative approaches that can be more useful than overall and transaction specific approaches for strategic decision making (Fornell et al 1996). The cumulative approach to customer satisfaction doesn’t study earlier due to the difficulty in operationalization of the concept. But the influencers of customer satisfaction are context specific and the prevailing models doesn’t give the sources of variations in the satisfaction, the importance of cumulative approaches to customer satisfaction has emerges that lights to a new research. The current study has focused to explore the influencers of overall customer satisfaction to form individual elements that can be used to identify the cumulative customer satisfaction.

Das Kontextmarketing im mobilen Customer Relationship Management

Zusammenfassung Mobile Telekommunikationstechnologien verändern den Alltag, ihre Benutzer und die Geschäftswelt. Im Zuge der Mobilität haben die Nutzer von mobilen Übertragungstechnologien ein hohes Kommunikationsbedürfnis in jeglicher Situation entwickelt: Sie wollen überall und jederzeit kommunizieren und informiert sein. Dies ist auch darauf zurückzuführen, dass ein Wandel der Individualisierung – von der Person zur Situation – stattgefunden hat. Im Rahmen der Untersuchung gehen wir auf diese entscheidenden Veränderung ein und analysieren die Potenziale des Kontextmarketing im mobilen Customer Relationship Management anhand der Erringung von Wettbewerbsvorteilen durch Situationsfaktoren. Daneben zeigen wir mögliche Geschäftsmodelle und Wertschöpfungsketten auf. Abgerundet wird die Arbeit durch die Darstellung möglicher personenbezogener, technischer und rechtlicher Restriktionen.

1st Kassel Student Workshop on Security in Distributed Systems

With this document, we provide a compilation of in-depth discussions on some of the most current security issues in distributed systems. The six contributions have been collected and presented at the 1st Kassel Student Workshop on Security in Distributed Systems (KaSWoSDS’08). We are pleased to present a collection of papers not only shedding light on the theoretical aspects of their topics, but also being accompanied with elaborate practical examples. In Chapter 1, Stephan Opfer discusses Viruses, one of the oldest threats to system security. For years there has been an arms race between virus producers and anti-virus software providers, with no end in sight. Stefan Triller demonstrates how malicious code can be injected in a target process using a buffer overflow in Chapter 2. Websites usually store their data and user information in data bases. Like buffer overflows, the possibilities of performing SQL injection attacks targeting such data bases are left open by unwary programmers. Stephan Scheuermann gives us a deeper insight into the mechanisms behind such attacks in Chapter 3. Cross-site scripting (XSS) is a method to insert malicious code into websites viewed by other users. Michael Blumenstein explains this issue in Chapter 4. Code can be injected in other websites via XSS attacks in order to spy out data of internet users, spoofing subsumes all methods that directly involve taking on a false identity. In Chapter 5, Till Amma shows us different ways how this can be done and how it is prevented. Last but not least, cryptographic methods are used to encode confidential data in a way that even if it got in the wrong hands, the culprits cannot decode it. Over the centuries, many different ciphers have been developed, applied, and finally broken. Ilhan Glogic sketches this history in Chapter 6.

Customer Recovery Controlling

Die langfristige Sicherung bestehender (profitabler) Kundenbeziehungen erweist sich für Unternehmen zunehmend als eine wichtige und zugleich immer schwieriger zu bewältigende Herausforderung. Vor dem Hintergrund hoher Kosten für die Neukundengewinnung und sinkender Kundenloyalität auf gesättigten, wettbewerbsintensiven und transparenten Märkten – verbunden mit tendenziell steigenden Abwanderungsraten – rücken die Früherkennung und Prävention von Kundenabwanderungen sowie die Kundenrückgewinnung verstärkt in den Fokus. Der Aufwand für derartige Anstrengungen muss in einem sinnvollen Verhältnis zum Ertrag stehen. Letztlich wird also für den Komplex „Kundenabwanderung“ ein ergebnisgesteuertes Gesamtsystem der Früherkennung, Prävention und Rückgewinnung benötigt. An dieser Stelle setzt das Customer Recovery Controlling an. Auf Basis des kontributionsorientierten Controllingansatzes wird ein ganzheitliches Controllingsystem für das Customer Recovery Management entwickelt. Dabei werden die führungsunterstützenden Controllingprinzipien der Entscheidungsfundierung, -reflexion und Koordinationsentlastung einschließlich zentraler Controllinginstrumente in den Gesamtzusammenhang des Customer Recovery Managementprozesses gestellt. Es wird aufgezeigt, dass mit einem professionellen Customer Recovery Controlling große Nutzenpotenziale verbunden sind, die sich auf der Customer Recovery Managementebene (z.B. verbesserte Entscheidungsqualität, höhere Präventions- bzw. Rückgewinnungsraten) wie auch auf der Ebene der Gesamtunternehmung (z.B. Sicherung bzw. Erhöhung des Kundenstammwertes) auswirken. Die Erfolgsmodellierung zählt zu den wesentlichen Aufgaben des Controlling. Diesbezüglich bedarf es eines mehrdimensionalen Controllinginstruments, das neben Ergebnisindikatoren auch Leistungstreiber berücksichtigt: die Customer Recovery Scorecard. Ihre Perspektiven – Finanz-, Kunden-, Prozess-, Potenzial- und Wettbewerbsperspektive – sichern eine ganzheitliche Betrachtung der strategisch relevanten Erfolgsfaktoren und darüber hinaus gewährleisten die Kennzahlen eine systematische Planung, Steuerung und Kontrolle des Customer Recovery Management Erfolgs. Für die Erfolgsgrößen werden kausale Abhängigkeiten in Form von Ursache-Wirkungs-Beziehungen innerhalb und zwischen den Perspektiven erfasst (Strategy Maps), wodurch gewissermaßen eine Modellierung der Wertschöpfungskette im Customer Recovery Management erfolgt. Unsere durchgeführte Studie zum Status Quo des Customer Recovery Controlling in der deutschen (groß-)unternehmerischen Dienstleistungspraxis hat gezeigt, dass der präventive Umgang mit Kundenabwanderung zukünftig an Bedeutung gewinnen wird. Obwohl die Mehrheit der befragten Unternehmen über ein organisatorisch verankertes Controlling verfügt, sind bezüglich des allgemeinen Controllingentwicklungsstandes inkl. des Instrumenteneinsatzes Defizite zu konstatieren. In Bezug auf Letzteres hat sich herausgestellt, dass rein ökonomische Aspekte eine dominante Stellung einnehmen; Finanzkennzahlen werden gegenüber den Markt-, Prozess und Potenzialkennzahlen zum einen häufiger eingesetzt und zum anderen auch in ihrer Bedeutung höher eingeschätzt. Darüber hinaus ist der Einsatz von Kennzahlensystemen im Customer Recovery Management noch nicht weit verbreitet und auch hier ist ein finanzwirtschaftlicher Fokus festzustellen. Der Erfolg von Customer Recovery Maßnahmen wird zu einem großen Ausmaß durch die Nutzung des Synergiepotenzials von Customer Recovery Management (Führung vom Markt bzw. Kunden her) und Controlling (Führung vom Erfolg her) determiniert.

Application of the european customer satisfaction index to postal services. Structural equation models versus partial least squars

Customer satisfaction and retention are key issues for organizations in today’s competitive market place. As such, much research and revenue has been invested in developing accurate ways of assessing consumer satisfaction at both the macro (national) and micro (organizational) level, facilitating comparisons in performance both within and between industries. Since the instigation of the national customer satisfaction indices (CSI), partial least squares (PLS) has been used to estimate the CSI models in preference to structural equation models (SEM) because they do not rely on strict assumptions about the data. However, this choice was based upon some misconceptions about the use of SEM’s and does not take into consideration more recent advances in SEM, including estimation methods that are robust to non-normality and missing data. In this paper, both SEM and PLS approaches were compared by evaluating perceptions of the Isle of Man Post Office Products and Customer service using a CSI format. The new robust SEM procedures were found to be advantageous over PLS. Product quality was found to be the only driver of customer satisfaction, while image and satisfaction were the only predictors of loyalty, thus arguing for the specificity of postal services