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The purpose of this paper is to implement the strategies selection process in a proposed formulated mathematical framework to prioritize selected strategies with the interaction of other groups of strategies, known as the strategies interaction model (SIM).

SWOT analysis is a popular useful strategic planning tool, which analyzes organizations internal and external factors. The traditional SWOT procedure lists internal and external factors and derives four groups of strategies based on the organization’s strategic position. SWOT is easy to use as a business analyzing tool, while it is not competent enough for strategic formulation. With the emergence of the economy’s vicissitudes, undulations in the markets and multiple changes, and various variables in the industrial competitive environment, selection of the organization strategies confront uncertainty in decision making. The SIM framework presents a solution to select alternative strategies for organizations in unpredictable situations.

The findings show that SIM is a reliable approach to evaluate, select and rank organization’ strategies. SIM proposes alternative strategies due to the uncertainty of the organization’ environment with respect to the four strategic positions. The SIM’ proposed ranking process is in accordance with the highest impact of each strategy on each other. Furthermore, it possesses advantages of AHP, ANP and other applied multiple criteria decision-making (MCDM) techniques in SWOT analysis.

In this paper SIM is applied within a dairy company located in the north of Iran.

SIM has the advantages of the classic SWOT and fills the gaps of MCDM methods application in the SWOT analysis. Moreover, it provides a formulated algorithm for the organizations to face the uncertainty of the environment. SIM philosophy can be widely used in the decision and managerial implications.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

This issue is a selected bibliography covering the subject of leadership.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to examine the use of simulators as pedagogical complements to traditional case studies. The research performs experiments with a case and its accompanying simulator to assess the additional learning attained by the use of a case with its simulator as compared to using the case alone. The paper also describes the development and proposed use of cases and simulators combined.

The paper describes the development of one companion simulators, it outlines its proposed use, and it shows the results of an experiment to assess marginal learning with the simulator.

The research finds that simulators increase the understanding of subjects when used to support a case study. Students and teachers perceive the use of companion simulators as valuable.

The research provides ground for developing a new generation of case studies in which the traditional case is enhanced and augmented by simulators developed for one particular case and intended to be used only with that case.

This research has practical implications in how management is taught and learned.

The paper has implications in terms of possible changes that can be introduced to the teaching of management in business schools.

This research provides one of the few extant assessments of the learning that can be attained with the use of simulators in management education. The research proposes the creation of a new entity, the “Case+Sim” that draws on the traditional strengths of managerial case studies to be used in educating managers, but complements the case studies with simulators, which provide an added value in permitting students to test their thinking using a realistic interactive learning environment.

The purpose of this paper is to demonstrate that applied spatial modelling can inform the planning, delivery and evaluation of retail services, offering improvements over traditional retail impact assessment (RIA), especially within localities which experience seasonal fluctuations in demand.

The paper first describes a new theoretically informed tourist-based spatial interaction model (SIM) which has been custom-built and calibrated to capture the dynamics of the grocery sector in Cornwall, UK. It tests the power of the model to predict store performance for stores not used in the original calibration process, using client data for a new store development. The model is operationalised for the evaluation of various retail development schemes, demonstrating its contribution across a full suite of location decision making application areas.

The paper demonstrates that this highly disaggregate modelling framework can provide considerable insight into the local economic and social impacts of new store developments, rarely addressed in the retail location modelling literature.

Whilst SIMs have been widely used in retail location research by the private sector, the paper shows that such a model can have considerable value for public sector retail planning, a sector which seemed to have abandoned such models from the 1980s onwards, replacing them with often very limited and crude RIA.

The ability to review the forecasting capabilities of a model (termed post-investment review) are very rare in academic research. This paper offers new evidence that SIMs can support the RIA process.

For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality characteristics of the object of communication in order to employ an effective communication strategy. An enterprise needs to obtain the personality information of target or potential customers. However, the traditional method for personality evaluation is extremely costly in terms of time and labor, and it cannot acquire customer personality information without their awareness. Therefore, the manner in which to effectively conduct automated personality predictions for a large number of objects is an important issue. The paper aims to discuss these issues.

The diverse social media that have emerged in recent years represent a digital platform on which users can publicly deliver speeches and interact with others. Thus, social media may be able to serve the needs of automated personality predictions. Based on user data of Facebook, the main social media platform around the world, this research developed a method for predicting personality types based on interaction logs.

Experimental results show that the Naïve Bayes classification algorithm combined with a feature selection algorithm produces the best performance for predicting personality types, with 70-80 percent accuracy.

In this research, the dominance, inducement, submission, and compliance (DISC) theory was used to determine personality types. Some specific limitations were encountered. As Facebook was used as the main data source, it was necessary to obtain related data via Facebook’s API (FB API). However, the data types accessible via FB API are very limited.

This research serves to build a universal model for social media interaction, and can be used to propose an efficient method for designing interaction features.

This research has developed an approach for automatically predicting the personality types of network users based on their Facebook interactions.

The purpose of this paper is to provide a thorough review of self‐leadership literature past and present, including a historical overview of how the concept was created and expanded as well as a detailed look at more recent self‐leadership research trends and directions. The paper also presents a theoretical and conceptual explanation and differentiation of the self‐leadership concept relative to other related motivational, personality, and self‐influence constructs.

Self‐leadership research and related literatures of motivation, personality and self‐influence are discussed and described in order to present the current state of the self‐leadership body of knowledge and to suggest future directions to explore and study.

It is suggested that self‐leadership is a normative model of self‐influence that operates within the framework of more descriptive and deductive theories such as self‐regulation and social cognitive theory.

While self‐leadership research composes an impressive body of knowledge, it is a domain of study that has been under‐investigated in some aspects, both empirically and conceptually.

This paper suggests several future directions that researchers can undertake to advance self‐leadership knowledge.

This paper fills a void in the organizational literature by reviewing the body of self‐leadership knowledge, by stating how self‐leadership is a distinctive theory in its own, and by presenting directions for future self‐leadership research.

A social movement is sweeping the globe in the form of Internet delivered and open access sharing spaces. People are connecting in new ways while personalizing their daily experiences with shared websites called Web 2.0 technologies. This chapter looks into the implications of taking these technologies beyond social interactions into the learning experiences of students. With a literature review and case study analysis, the goal of this chapter is to gain a better understanding of what is needed to appropriate quality instructional strategies to the online university course room including social sites such as Facebook, Twitter, Second Life®, and wikis. Following a brief history and descriptions of the Web 2.0 sites and functions, the reader is introduced to the design expectations typical of instructional designers (IDs) with definitions and standards from the field's literature. Support is offered from the business and educational literature for incorporating leadership into design practice through vision, strategy, and theory-based decisions. Definitions, benchmarks, and examples of instructional strategies and activities for learner engagement complete the theoretical framework for the chapter. Given the added complexities of advanced technologies, this chapter suggests evaluating social learning through an ID leadership perspective for a more informed recommendation of Web 2.0 online affordances. Following a case analysis of Second Life®, a 3-D virtual world used for learning activities, implications for ID practice are discussed, along with the various benefits and barriers of adopting Web 2.0 technologies. In the conclusion, suggestions are given for future research on the potential for integration of Web 2.0 affordances into online learning designs for rich, engaging learning experiences.