The Qualitative Measurement towards Organizational Behaviour by using Kano Method, CRM and ServQual

This research aims to study the organizational behavior of the employees by using SERVQUAL and Kano model. The usual application of SERVQUAL and Kano model is to find out the needs of the customer but for this research, it is used to find out the employees needs and feelings towards the organizational. SERVQUAL used to do a gap analysis of an organization's service quality performance against the service quality needs of its customers. The Kano Model classifies product attributes based on how they are perceived by customers and their effect on customer satisfaction. The Kano model defines various product attributes that are considered important to customers and as a decision maker. As result, the attributes that has the biggest factor in the behaviour of the employees are Managers being in the office to guide the employees, Managers helping the employees with the job, All employees able to finish the job on time and Employees respond towards a strict manager. These factors will have a big impact towards the CRM

Navigating the digitalization of individuals as employees, customers, and themselves

Digitalization has long since entered and transformed our professional lives, our interaction with companies, and our private lives. With the progress in digitalization in general and of individuals in particular, both opportunities and challenges arise. Digitalization represents a double-edged sword, with its vast potential on the one end and a number of risks and detrimental effects for individuals, such as technostress, on the other. Individuals need to navigate the opportunities provided by digitalization, as well as its risks, in all areas of their lives. Addressing digitalization in a way that is in the best interest of individuals requires a thorough understanding of developments, challenges, and possible interventions and solutions. Matt et al. (2019) propose a framework for studying the digitalization of individuals, which represents a holistic approach to structure, classify, and position research along different roles of individuals from a comprehensive set of research angles. By applying this framework as a guiding structure, this dissertation aims to advance knowledge for an improved, safer, and more deliberate navigation of digitalization for individuals in their roles as employees, customers, and themselves from the research angles design, behavior, and consequences. While building on and integrating qualitative research methods such as literature analysis and expert interviews, this dissertation mainly relies on the collection of empirical data and their quantitative analysis. This comprises several small- and large-scale surveys and field experiments, as well as analytical methods such as structural equation modeling, regression analysis, and cluster analysis. Chapter 2 of this dissertation discusses the digitalization of individuals in their role as employees. Chapter 2.1 covers workplace design in terms of equipment with digital workplace technologies (DWTs) and the user behavior of employees. It determines which DWTs exist and are used by individual employees in a comprehensive and structured fashion. Contributing to a deeper understanding of workplace digitalization, chapter 2.1 also demonstrates and elaborates how this overview of DWTs represents a basis for individualized digital work design as well as adequate interventions. Chapter 2.2 deals with the consequences of DWT user behavior. It focuses on the relationship between workplace digitalization, the negative consequence technostress, and possible countermeasures termed technostress inhibitors. By enabling a more detailed understanding of the underlying mechanisms as well as evaluating the effects of countermeasures, chapter 2.2 discusses the overall finding that workplace digitalization increases technostress. The dynamics of its different components and technostress inhibitors, however, require individual consideration at a more detailed level, as the interrelationships are not consistently intuitive. In chapter 3, the focus changes to individuals in their role as customers. As a response to increasing data collection by companies as well as increasing data privacy concerns of customers, chapter 3.1 focuses on the identification of a comprehensive list of data privacy measures that address these concerns. Furthermore, it is identified that the implementation of some of these measures would lead to increased customer satisfaction, demonstrating that there is an upside to data privacy for companies and that mutually beneficial outcomes for both involved parties are conceivable. Chapter 3.2 analyzes whether and how digital nudging can be applied to influence customers online shopping behavior towards the selection of more environmentally sustainable products in online supermarkets and how this influence differs with respect to individual customer characteristics. It determines the digital nudging element default rules to be generally effective and simplification to be effective among environmentally conscious customers. On a macro level, the findings contribute to a safer environment in which individuals live their lives, while at the individual level, they foster decision-making quality and health. Chapter 4 highlights the digitalization of individuals themselves. Chapter 4.1 deals with the design of a habit-tracking app that offers users autonomy in their goal-directed behavior. It is found that the provision of autonomy enhances well-being. Its exercise improves performance, which in turn positively affects well-being. Chapter 4.1 thus contributes insights into how digital technologies can foster the flourishing of users. As a summary, this dissertation aims to provide research and practice with contributions to a deeper understanding of how individuals as employees, customers, and themselves can successfully navigate digitalization.Die Digitalisierung und durch sie verursachte Veränderungen haben längst in unserem Berufsleben, unserer Interaktion mit Unternehmen und unserem Privatleben Einzug erhalten. Mit der fortschreitenden Digitalisierung im Allgemeinen und der fortschreitenden Digitalisierung von Individuen im Speziellen ergeben sich sowohl Chancen als auch Herausforderungen. Die Digitalisierung stellt ein zweischneidiges Schwert dar. Den enormen Potenzialen stehen eine Reihe von Risiken und negativen Auswirkungen für Individuen wie z.B. Technostress gegenüber. Individuen müssen sich in allen Lebensbereichen in einem Spannungsfeld der Digitalisierung zurechtfinden, welches am einen Ende vielfältige Chancen für Weiterentwicklung und Selbstverwirklichung bereithält, aber am anderen Ende auch zahlreiche Fallstricke und Risiken birgt. Mit der Digitalisierung auf eine Art und Weise umzugehen, die im besten Interesse von Individuen liegt, erfordert ein gründliches Verständnis der Entwicklungen und Herausforderungen sowie möglicher Interventionen und Lösungen. Matt et al. (2019) schlagen ein Framework für die Untersuchung der Digitalisierung von Individuen vor, das einen ganzheitlichen Ansatz zur Strukturierung, Klassifizierung und Positionierung von Forschung entlang verschiedener Rollen von Individuen und unterschiedlicher Forschungsperspektiven darstellt. Unter Anwendung dieses Frameworks als Leitstruktur zielt diese Dissertation darauf ab, aus den Forschungsperspektiven Design, Verhalten und Konsequenzen Wissen zu schaffen und zu erweitern, wie Individuen in ihren Rollen als Arbeitnehmer:innen, Kund:innen und im privaten Kontext die Digitalisierung besser, sicherer und bewusster meistern können. Aufbauend auf und unter Einbeziehung von qualitativen Forschungsmethoden wie Literaturanalyse und Experteninterviews stützt sich diese Dissertation vor allem auf die Erhebung empirischer Daten und deren quantitative Auswertung. Dies umfasst mehrere kleiner und größer angelegte Umfragen und Feldexperimente sowie analytische Methoden wie Strukturgleichungsmodelle, Regressions- und Clusteranalysen. Kapitel 2 der Dissertation befasst sich mit der Digitalisierung von Individuen in ihrer Rolle als Arbeitnehmer:innen. Kapitel 2.1 beschäftigt sich mit der Gestaltung von Arbeitsplätzen hinsichtlich der Ausstattung mit digitalen Technologien und des Verhaltens von Arbeitnehmer:innen bei deren Nutzung. Zum anderen arbeitet Kapitel 2.1 heraus, inwiefern dieser Überblick der digitalen Technologien eine Grundlage für die individualisierte Gestaltung digitaler Arbeit sowie für adäquate Interventionen darstellt. Kapitel 2.2 beschäftigt sich mit den Konsequenzen des Nutzungsverhaltens dieser digitalen Technologien. Im Mittelpunkt steht dabei der Zusammenhang zwischen der Digitalisierung von Arbeitsplätzen, der negativen Konsequenz Technostress und möglichen Gegenmaßnahmen, den sogenannten Technostress-Inhibitoren. Kapitel 2.2 ermöglicht ein detaillierteres Verständnis der zugrunde liegenden Mechanismen und bewertet die Wirksamkeit von Gegenmaßnahmen. In Kapitel 3 liegt der Fokus auf Individuen in ihrer Rolle als Kund:innen. Als Reaktion auf zunehmende Datenerfassung seitens Unternehmen und wachsende Datenschutzbedenken seitens Kund:innen konzentriert sich Kapitel 3.1 auf die Identifizierung einer umfassenden Liste von Datenschutzmaßnahmen, die diese Bedenken adressieren. Darüber hinaus wird festgestellt, dass die Umsetzung einiger dieser Maßnahmen zu einer höheren Kundenzufriedenheit führen würde. In Kapitel 3.2 wird analysiert, ob und wie digitales Nudging eingesetzt werden kann, um das Online-Einkaufsverhalten von Kund:innen in Richtung der Auswahl umweltfreundlicherer nachhaltiger Produkte in Online-Supermärkten zu beeinflussen und wie sich dieser Einfluss in Bezug auf einzelne Kundenmerkmale unterscheidet. Kapitel 4 beleuchtet die Digitalisierung von Individuen im privaten Kontext. Kapitel 4.1 befasst sich mit der Entwicklung einer App zum Festhalten und zur Verfolgung von Gewohnheiten, die ihren Nutzer:innen Autonomie in Bezug auf ihr zielgerichtetes Verhalten bietet. Es wird festgestellt, dass die Bereitstellung von Autonomie das Wohlbefinden der Nutzer:innen steigert. Die Ausübung von Autonomie verbessert die Leistung bei der Zielerreichung. Zusammenfassend stellt diese Dissertation für Forschung und Praxis Beiträge bereit, die zu einem tieferen Verständnis eines erfolgreichen Umgangs von Individuen als Arbeitnehmer:innen, Kund:innen und Individuen im privaten Kontext mit der Digitalisierung führen sollen

UNIVERSITY ADMINISTRATION IN AN EMERGING DEMOCRACY

1st Annual Registry LectureIn the turn of the new millennium, the world became more concerned with the issues of democracy, energy supply, technological advancement and globalization based on importance of knowledge as a commodity in international trade. The issue of democracy and governance became so important in the face of growing self determination among various peoples of the world. Universities are traditionally institutions that thrive on the tenets of democracy and colleaguality, Therefore, considering issues of the administration of the institution within the environment of increasingly emerging democratic governance in our nation is considered apt. Democracy in Nigeria is still in its infancy given the various failed attempts of the first, second and third republics. The growth of our universities within the various processes of governance which for most part was under military dictatorship was naturally impacted and the nature of governance as enunciated in the laws of the universities established during the military regimes definitely manifested the prevailing scenario. Since the commencement of the fourth republic and the growing democratic tenets, the implication for university administration is becoming more discernible and we intend in this paper to highlight the implications of the emerging scenario on the governance and administration of the institutions

Volume 14 — Nigeria: Religion and Conflict Resolution

https://dsc.duq.edu/beth/1018/thumbnail.jp

The Integrated User Experience Evaluation Model: A Systematic Approach To Integrating User Experience Data Sources

Evaluating the user experience (UX) associated with product interaction is a challenge for current human-systems developers. This is largely due to a lack of theoretical guidance for directing how best to assess the UX and a paucity of tools to support such evaluation. This dissertation provided a framework and tools for guiding and supporting evaluation of the user experience. This doctoral research involved reviewing the literature on UX, using this knowledge to build first build a theoretical model of the UX construct and later develop a theoretical model to for the evaluation of UX in order to aid evaluators – the integrated User eXperience EValuation (iUXEV), and empirically validating select components of the model through three case studies. The developed evaluation model was subjected to a three phase validation process that included the development and application of different components of the model separately. The first case study focused on developing a tool and method for assessing the affective component of UX which resulted in lessons learned for the integration of the tool and method into the iUXEV model. The second case study focused on integrating several tools that target different components of UX and resulted in a better understanding of how the data could be utilized as well as identify the need for an integration method to bring the data together. The third case study focused on the application of the results of an usability evaluation on an organizational setting which resulted in the identification of challenges and needs faced by practitioners. Taken together, this body of research, from the theoretically-driven iUXEV model to the newly developed emotional assessment tool, extends the user experience / usability body of knowledge and state-of-practice for interaction design practitioners who are challenged with holistic user experience evaluations, thereby advancing the state-of-the-art in UX design and evaluation

Rethinking the risk matrix

So far risk has been mostly defined as the expected value of a loss, mathematically PL (being P the probability of an adverse event and L the loss incurred as a consequence of the adverse event). The so called risk matrix follows from such definition. This definition of risk is justified in a long term “managerial” perspective, in which it is conceivable to distribute the effects of an adverse event on a large number of subjects or a large number of recurrences. In other words, this definition is mostly justified on frequentist terms. Moreover, according to this definition, in two extreme situations (high-probability/low-consequence and low-probability/high-consequence), the estimated risk is low. This logic is against the principles of sustainability and continuous improvement, which should impose instead both a continuous search for lower probabilities of adverse events (higher and higher reliability) and a continuous search for lower impact of adverse events (in accordance with the fail-safe principle). In this work a different definition of risk is proposed, which stems from the idea of safeguard: (1Risk)=(1P)(1L). According to this definition, the risk levels can be considered low only when both the probability of the adverse event and the loss are small. Such perspective, in which the calculation of safeguard is privileged to the calculation of risk, would possibly avoid exposing the Society to catastrophic consequences, sometimes due to wrong or oversimplified use of probabilistic models. Therefore, it can be seen as the citizen’s perspective to the definition of risk

A Structured Approach to Modelling Lean Batch Production

A problem relating to the manufacture of automotive body panels concerns the appropriate choice of production size or batch quantity of a body panel production run that ensures a minimum inventory profile is maintained while not compromising production efficiency. Due to underlying variation within the body panel production process it is difficult to determine a relationship between the batch quantity and production efficiency.This thesis determines the appropriate production batch size through the creation of an iterative modelling methodology that initially examines the nature of the variation within the panel production process. Further iterations of the methodology apply appropriate analytical modelling methods until a satisfactory solution is achieved. The modelling construction is designed so that it is potentially applicable to a wider range of manufacturing problems. As there is variation inherent within the system, regression analysis, experimental design (traditional and Taguchi) are considered. Since an objective of creating the modelling methodology is the potential of apply the methodology to a wider variety of manufacturing problems, additional modelling methods are assessed. These include the operational research methods of mathematical programming (linear and non-linear and dynamic programming) and queuing systems. To model discrete and continuous behaviour of a manufacturing system, the application of hybrid automata is considered. Thus a suite of methodologies are assessed that assess variation, optimisation and networks of manufacturing systems. Through the iterative stages of the modelling approach, these analytical methods can be applied as appropriate to converge on to the appropriate solution for the problem under investigation. The appropriate methods identified to quantify a relationship between the batch production quantity and production efficiency include regression modelling and traditional experimental design. The conclusion drawn from the application of both methods is that relative to the inherent variation present in the production system, lower batch quantities can be chosen for production runs without affecting the production performance. Consequently, a minimum inventory profile can be maintained satisfying the objective of a lean system