1,721,138 research outputs found
Strategic analytics: Integrating management science and strategy
No full textDefines common ground at the interface of strategy and management science and unites the topics with an original approach vital for strategy students, researchers and managersStrategic Analytics: Integrating Management Science and Strategy combines strategy content with strategy process through the lenses of management science, masterfully defining the common ground that unites both fields. Each chapter starts with the perspective of a certain strategy problem, such as competition, but continues with an explanation of the strategy process using management science tools such as simulation. Facilitating the process of strategic decision making through the lens of management science, the author integrates topics that are usually in conflict for MBAs: strategy and quantitative methods. Strategic Analytics features multiple international real-life case studies and examples, business issues for further research and theory review questions and exercises at the end of each chapter.Strategic Analytics starts by introducing readers to strategic management. It then goes on to cover: managerial capabilities for a complex world; politics, economy, society, technology, and environment; external environments known as exogenous factors (PESTE) and endogenous factors (industry); industry dynamics; industry evolution; competitive advantage; dynamic resource management; organisational design; performance measurement system; the life cycle of organisations from start-ups; maturity for maintaining profitability and growth; and finally, regeneration. Developed from the author's own Strategy Analytics course at Warwick Business School, personal experience as consultant, and in consultation with other leading scholarsUses management science to facilitate the process of strategic decision makingChapters structured with chapter objectives, summaries, short case studies, tables, student exercises, references and management science modelsAccompanied by a supporting websit
Business dynamics simulator for startups, SMEs and new projects
No full textThe aim of the paper is to show result of uses of the Business Dynamics Simulator on the population of the sixty students. The simulator helps in: (A) designing 5-years pro-forma financial statements for rapid business plan creation, (B) simulating strategic decisions to improve survival rate and support growth, (C) producing fundamental analysis and company/idea valuation, (D) fostering entrepreneurial education, training & research, in risk-free, enjoyable, realistic and interactive simulation environment. The usability of Business Dynamics Simulator is tested on 40 students at Vern’ University of Applied
Sciences business school in Zagreb and 20 students of Founder Institute - world's largest entrepreneur training and startup launch program.
The main conclusion is that the use of simulators can improve entrepreneurial cognition by identifying the impact of resource bundling and the management of information to realize the opportunities that have been identified in the process of entrepreneurship
Visualising Strategies: The impact of user interpretation of a strategic decision support system
No full textOn the one hand, simulation models have been employed to support managersto understand the complexity in their businesses. On the other hand, there aredifferent simulation models and different user interfaces to support managers'decision making processes. The use of simulation models will have differentimpact on managerial effectiveness to understand the information provided bythe performance measurement system and manage their businesses. In thispaper, we explore the interpretation of users of a strategic decision supportsystem based on the concepts of dynamic resource-based view/strategy mapsand its impact on the strategic decision making process. Our aim is to identifywhat is the impact of the interpretation assigned to the decision support systemon the decisions made. The research has been conducted with 30 productmanagers from the pharmaceutical industry exploring similar decision supportsystem. The results indicate that sense making is a key factor affecting theusefulness of decision support systems and impacting the decision makingprocess
Future avenues for development in forecasting wine tourism
No full textPurpose: the purpose of this paper is to analyse the developments in forecasting wine tourism. Design/methodology/approach: the study applies a systematic review of the literature between 2020 and 2024.Findings: the findings confirm unbalanced development where most publications are related to either forecasting tourism or wine tourism, separately. However, there are multiple possibilities for combining both areas to have active research in forecasting wine tourism.Research limitations/implications: limitations are related with the potential selection of articles in the systematic review. The field of wine tourism needs to link well-established descriptive analysis of wine tourists with predictive analysis through forecasting approaches, such as AI and simulation.Practical implications: the paper provides a framework to support further research in forecasting wine tourism, which can be critical information for wineries’ managers when they plan capacity and determine business investments related to wine tourism. Forecasting is a vibrant field with also many interesting insights in methodologies and data for academic researchers.Originality/value: the paper contributes to the body of knowledge of wine tourism in an area where there is limited research
System Dynamics and Big Data: Implications for strategic planning
No full textSystem Dynamics is a simulation tool usually associated with the development and analysis of strategies. System Dynamics hasn’t been considered a simulation that requires large amount of data. However, there are new trends in the use of System Dynamics and Big Data for the development and analysis of strategies. This paper discusses existing practices and proposes a new research agenda
System dynamics and big data: New frontiers for strategy
No full textSystem Dynamics is a simulation tool usually associated with the development and analysis of strategies. System Dynamics hasn’t been considered a simulation that requires large amount of data. However, there are new trends in the use of System Dynamics and Big Data for the development and analysis of strategies. This paper discusses existing practices and proposes a new research agenda
The Chinese premium wine market after Bordeaux: opportunities for Port wine
No full textPurpose: this paper develops a market entry framework to evaluate performance of entrants in China's luxury wine market. The market entry framework contains seven propositions related to the areas of relationship management, price, product, distribution, promotion and marketing mix strategies according to entry order.Design/methodology/approach: the methodology involved a synthesis of existing work about the Chinese wine market to develop the framework and the seven propositions together with an application of the framework to two luxury wines: Bordeaux, an already established luxury wine, and Port, a late mover into the Chinese market. The application to Bordeaux and Port was based on secondary data using diverse sources to triangulate the information.Findings: we found the framework helped to organise scattered secondary data about the performance of Bordeaux in the Chinese market and identify potential opportunities for Port from the lessons learned from Bordeaux as well as understand current activities taken by Port.Port may position as a dessert and gift wine given its sweetness and packaging characteristics. Port can also benefit from its connection with colonial Hong Kong and Macau since the 17th century. Current activities by the Port producers seem to be on the right direction.Practical implications: the framework can be very useful for new wines intending to enter into the Chinese market or existing wine that have not achieved the expected success
Market Analytics of the rice wine market in Japan: An exploratory study
No full textPurpose: The purpose of this paper is to analyse consumer buying behaviour in the Japanese rice wine, also known as sake, market. Design/methodology/approach: The study applies a novel qualitative and quantitative analytical methodology to an off-license channel in Japan. The methodology involves the use of anchoring-and-adjustment theory and simulation to a large set of point of sale data. The selection of the brands used for the study are more than 230 brands and more than 150 sake breweries.Findings: Age and gender are important factors determining recurrent patterns of purchasing behaviour. Small size packaging, e.g. one cup, has the highest volume in sales, e.g. convenience shopping, but it depends on exogenous factors, e.g. summer season or festive events.Research limitations/implications: Limitations are related with the lack of specific personal data from consumers that impedes to test behavioural attitudes driving loyalty to brands. Anchoring-and-adjustment theory can be a valid approach to evaluate large longitudinal data sets of purchasing behaviour.Practical implications: Results indicate that fragmented markets tend to over-expand the assortment affecting volume stability. However, this dynamics is difficult to avoid when all participants are engaged in this behaviour and market is strongly segmented by age and gender.Originality/value: The paper contributes to the body of knowledge of buyer behaviour in relation to purchasing and consumption for other types of wine. It is the first application in alcoholic beverages of anchor-and-adjustment theory
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