https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

MKT 6009 Marketing Internship (0 semester credit hours) Student gains experience and improves skills through appropriate developmental work assignments in a real business environment. Student must identify and submit specific business learning objectives at the beginning of the semester. The student must demonstrate exposure to the managerial perspective via involvement or observation. At semester end, student prepares an oral or poster presentation, or a written paper reflecting on the work experience. Student performance is evaluated by the work supervisor. Pass/Fail only. Prerequisites: (MAS 6102 or MBA major) and department consent required. (0-0) S MKT 6244 Digital Marketing Strategy (2 semester credit hours) Executive Education Course. The course explores three distinct areas within marketing and sales namely, digital marketing, traditional sales prospecting, and executive sales organization and strategy. The continuing convergence of the digital marketing and sales funnels has created a strategic continuum from digital lead generation to digital sales. The course identifies the current composition of this digital continuum while providing opportunities to evaluate sales and marketing digital strategies. Prerequisites: MKT 6301 and instructor consent required. (2-0) Y MKT 6301 (SYSM 6318) Marketing Management (3 semester credit hours) Overview of marketing management methods, principles and concepts including product, pricing, promotion and distribution decisions as well as segmentation, targeting and positioning. (3-0) S MKT 6309 Marketing Data Analysis and Research (3 semester credit hours) Methods employed in market research and data analysis to understand consumer behavior, customer journeys, and markets so as to enable better decision-making. Topics include understanding different sources of data, survey design, experiments, and sampling plans. The course will cover the techniques used for market sizing estimation and forecasting. In addition, the course will cover the foundational concepts and techniques used in data visualization and \"story-telling\" for clients and management. Corequisites: MKT 6301 and OPRE 6301. (3-0) Y MKT 6310 Consumer Behavior (3 semester credit hours) An exposition of the theoretical perspectives of consumer behavior along with practical marketing implication. Study of psychological, sociological and behavioral findings and frameworks with reference to consumer decision-making. Topics will include the consumer decision-making model, individual determinants of consumer behavior and environmental influences on consumer behavior and their impact on marketing. Prerequisite: MKT 6301. (3-0) Y MKT 6321 Interactive and Digital Marketing (3 semester credit hours) Introduction to the theory and practice of interactive and digital marketing. Topics covered include: online-market research, consumer behavior, conversion metrics, and segmentation considerations; ecommerce, search and display advertising, audiences, search engine marketing, email, mobile, video, social networks, and the Internet of Things. (3-0) T MKT 6322 Internet Business Models (3 semester credit hours) Topics to be covered are: consumer behavior on the Internet, advertising on the Internet, competitive strategies, market research using the Internet, brand management, managing distribution and supply chains, pricing strategies, electronic payment systems, and developing virtual organizations. Further, students learn auction theory, web content design, and clickstream analysis. Prerequisite: MKT 6301. (3-0) Y MKT 6323 Database Marketing (3 semester credit hours) Techniques to analyze, interpret, and utilize marketing databases of customers to identify a firm's best customers, understanding their needs, and targeting communications and promotions to retain such customers. Topics

Marketing for management.

In his Preface the author' says that he started out to review all the more important theories upon the topics ordinarily discussed under human motivation but soon found himself more and more limited to the presentation of his own point of view. This very well characterizes the book. It is a very personal product. It is an outline with some defense of the author's own thinking about instincts and appetites and sentiments and how they function in human behavior. And as the author draws so heavily upon James and McDougall, especially the latter, the book may well be looked upon as a sort of sequel to their efforts. There is a thought-provoking distinction presented between instinct and appetite. An instinct is said to be aroused always by something in the external situation; and, correspondingly, an appetite is said to be aroused by sensations from within the body itself. This places, of course, a heavy emphasis upon the cognitive factor in all instinctive behaviors; and the author prefers to use the cognitive factor, especially the knowledge of that end-experience which will satisfy, as a means of differentiating one instinct from another. In this there is a recognized difference from McDougall who placed more emphasis for differentiation upon the emotional accompaniment. The list of instincts arrived at by this procedure is much like that of McDougall, although the author is forced by his criteria to present the possibility of food-seeking and sex and sleep operating both in the manner of an appetite and also as an instinct. The Shand-McDougall concept of sentiment is taken over and used in the explanation of moral motivation. There is the development within each personality of a sentiment for some moral principle. But this sentiment is not a very powerful motivating factor. It is reinforced by social pressures and by religion, which is treated as an effort of finite man to live in harmony with the infinite reality. Those whose psychological thinking is largely in terms of McDougall will doubtless find this volume a very satisfying expansion; but those who are at all inclined to support their psychological thinking by reference to experimental studies will not be so well pleased. The James-Lange theory, for example, is discussed without mention of the many experimental studies which it has provoked. Theoretical sources appear in general to be preferred to experimental investigations.

Human MotivationThe Mind in Action: A Study of Motives and Values. A. Campbell Garnett

/pdf/qualitative-research-in-information-systems-1sezxwy02d.pdf

Qualitative Research in Information Systems

The Object Management Group's (OMG) Model Driven Architecture (MDA) strategy envisages a world where models play a more direct role in software production, being amenable to manipulation and transformation by machine. Model Driven Engineering (MDE) is wider in scope than MDA. MDE combines process and analysis with architecture. This article sets out a framework for model driven engineering, which can be used as a point of reference for activity in this area. It proposes an organisation of the modelling 'space' and how to locate models in that space. It discusses different kinds of mappings between models. It explains why process and architecture are tightly connected. It discusses the importance and nature of tools. It identifies the need for defining families of languages and transformations, and for developing techniques for generating/configuring tools from such definitions. It concludes with a call to align metamodelling with formal language engineering techniques.

Model Driven Engineering

Process analysis and improvement, one of the core phases in the business process management life cycle, is reaching the top of the agenda for many enterprises and organizations. An emerging approach to analyzing business processes involves the use of process-oriented data warehouses to collect information about executed processes to enable their detailed analysis and thereby provide bases for possible improvements. However, very little work has been carried out on employing business orientation in the design and utilization of a process warehouse. The approach presented in this study addresses that limitation by proposing a method that relates business goals to the information from the warehouse. To do so, we start by defining a desired goal structure that concerns an existing business process. The obtained goal model is firstly utilized for scoping and designing a corresponding data model for a process warehouse, and further for retrieving the information from the warehouse to examine the fulfillment of the goals of interest. The key benefits of the proposed method are the provision of the relevant and accurate business process information as well as tracing the process-related goals to the process execution data and further to the analysis of the process. As validation of the proposed method, we develop a prototype, and a healthcare process is used as an illustrative example. Also, to demonstrate the method quality, we perform an experiment on the effectiveness of the information access and retrieval.

Process warehouses in practice : a goal-driven method for business process analysis

Increased digitalization and the pervasiveness of Big Data, along with vastly improved data processing capabilities, have led to the consideration of digital data as additional sources of system requirements, complementing conventional stakeholder-driven approaches. The volume, velocity and variety of these digital sources present numerous challenges which existing system development methods are unable to manage in a systematic and efficient manner. We propose a holistic and data-driven framework for continuous and automated acquisition, analysis and aggregation of heterogeneous digital sources for the purposes of requirements elicitation and management. The proposed framework includes a conceptualization in the form of a meta-model and a high-level process for its use; the framework is illustrated in a real case of an enterprise software.

A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources

Significant amount of business collaboration takes place online which supports efficient and dynamic business partnerships. Once such partnerships reach a critical mass, a digital business ecosystem (DBE) forms. While it is beneficial to its actors, it is also complex and more difficult to manage. A key management concern is resilience, especially in the context of digitalization. The relevant goals influencing the DBE resilience are diversity, efficiency, adaptability, and cohesion, which need to be aligned with business goals of a specific DBE and managed accordingly. To this end, the paper investigates the suitability of capability management for the purpose of analyzing DBEs to support resilience and demonstrates capability models for a digital health use case in the healthcare sector.

Capability Management of Digital Business Ecosystems - A Case of Resilience Modeling in the Healthcare Domain.

/pdf/modeling-strategy-maps-and-balanced-scorecards-using-i-18cq9z0s0a.pdf

Modeling Strategy Maps and Balanced Scorecards using i .

The Capability-Driven Development (CDD) methodology supports development, delivery, and management of organization and information system capabilities. This chapter presents an overview of the CDD methodology in terms of the capability meta-model; the overall capability life cycle consisting of capability design, deployment, and feedback cycles; as well as the overall use of the CDD Environment. The way of working with CDD is illustrated with a simple example case from the travel management domain.

Jelena Zdravkovic

Papers

Process warehouses in practice : a goal-driven method for business process analysis

A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources

Capability Management of Digital Business Ecosystems - A Case of Resilience Modeling in the Healthcare Domain.

Modeling Strategy Maps and Balanced Scorecards using i .

Overview of Capability-Driven Development Methodology