Design Methods of Strategic Decision Support Solutions for B2C Business Managers

2021 ◽  
pp. 299-318
Author(s):  
Madhury Khatun ◽  
Shah J. Miah
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Design Science ◽  
Science Research ◽  
Primary Objective ◽  
Strategic Decision ◽  
Business Managers ◽  
Web Content ◽  
Strategic Decisions ◽  
Strategic Decision Support

This chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information systems (IS) solution, mostly intended for large businesses. None of the researchers have considered the business environment as a knowledge source for DSS development of small business strategic decision support needs. User-centered design (UCD) and design science research (DSR) method were adopted for DSS development. DSR was appropriate because it addresses the real-world application environment where research problem or opportunity are defined. Multiple case studies and web content analysis were carried out for understanding business problems, needs, and system requirements. This study used the qualitative and descriptive data analysis methods. The findings suggested developing a DSS solution to meet the small business strategic needs.

Design Methods of Strategic Decision Support Solutions for B2C Business Managers

2019 ◽  
pp. 254-273
Author(s):  
Madhury Khatun ◽  
Shah J. Miah
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Design Science ◽  
Science Research ◽  
Primary Objective ◽  
Strategic Decision ◽  
Business Managers ◽  
Web Content ◽  
Strategic Decisions ◽  
Strategic Decision Support

This chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information systems (IS) solution, mostly intended for large businesses. None of the researchers have considered the business environment as a knowledge source for DSS development of small business strategic decision support needs. User-centered design (UCD) and design science research (DSR) method were adopted for DSS development. DSR was appropriate because it addresses the real-world application environment where research problem or opportunity are defined. Multiple case studies and web content analysis were carried out for understanding business problems, needs, and system requirements. This study used the qualitative and descriptive data analysis methods. The findings suggested developing a DSS solution to meet the small business strategic needs.

Design Methods of Strategic Decision Support Solutions for B2C Business Managers

2021 ◽  
pp. 201-220
Author(s):  
Madhury Khatun ◽  
Shah J. Miah
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Design Science ◽  
Science Research ◽  
Primary Objective ◽  
Strategic Decision ◽  
Business Managers ◽  
Web Content ◽  
Strategic Decisions ◽  
Strategic Decision Support

This chapter reviews methods to develop a decision support system (DSS) for small business managers. The primary objective is to support managers, making strategic decisions for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilized various methods to design information systems (IS) solution, mostly intended for large businesses. None of the researchers have considered the business environment as a knowledge source for DSS development of small business strategic decision support needs. User-centered design (UCD) and design science research (DSR) method were adopted for DSS development. DSR was appropriate because it addresses the real-world application environment where research problem or opportunity are defined. Multiple case studies and web content analysis were carried out for understanding business problems, needs, and system requirements. This study used the qualitative and descriptive data analysis methods. The findings suggested developing a DSS solution to meet the small business strategic needs.

Design Methods for Decision Support Systems

2018 ◽  
Vol 9 (1) ◽  
pp. 38-52 ◽  
Author(s):  
Madhury Khatun ◽  
Shah J. Miah
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Business Environment ◽  
Strategic Decision ◽  
Small Business Owners ◽  
Competitive Advantages ◽  
Multiple Case ◽  
Business To Consumer ◽  
Website Features ◽  
Strategic Decision Support

This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small business strategic decision support needs. User-centred design (UCD) principles were adopted for DSS development. Prior a novel DSS development, multiple case studies were carried out for understanding the user needs and system requirements. Also, knowledge was sourced from the external business environment via the analysis of small business website features against their overseas competitors. The findings suggested developing a DSS solution for small business needs.

Design Methods for Decision Support Systems

2020 ◽  
pp. 102-118
Author(s):  
Madhury Khatun ◽  
Shah J. Miah
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Business Environment ◽  
Strategic Decision ◽  
Small Business Owners ◽  
Competitive Advantages ◽  
Multiple Case ◽  
Business To Consumer ◽  
Website Features ◽  
Strategic Decision Support

This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small business strategic decision support needs. User-centred design (UCD) principles were adopted for DSS development. Prior a novel DSS development, multiple case studies were carried out for understanding the user needs and system requirements. Also, knowledge was sourced from the external business environment via the analysis of small business website features against their overseas competitors. The findings suggested developing a DSS solution for small business needs.

scholarly journals Development of a Decision Support System Framework for Cultural Heritage Management

2021 ◽  
Vol 13 (13) ◽  
pp. 7070
Author(s):  
Eleonora Di Di Matteo ◽  
Paolo Roma ◽  
Santo Zafonte ◽  
Umberto Panniello ◽  
Lorenzo Abbate
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Cultural Heritage ◽  
Design Science ◽  
Demand Management ◽  
Science Research ◽  
Ease Of Use ◽  
Heritage Management ◽  
Space Management ◽  
Managerial Implications

Decision support systems (DSSs) have been traditionally identified as useful information technology tools in a variety of fields, including the context of cultural heritage. However, to the best of our knowledge, no prior study has developed a DSS framework that incorporates all the main decision areas simultaneously in the context of cultural heritage. We fill this gap by focusing on design-science research and specifically by developing a DSS framework whose features support all the main decision areas for the sustainable management of cultural assets in a comprehensive manner. The main decision-making areas considered in our study encompass demand management, segmentation and communication, pricing, space management, and services management. For these areas, we select appropriate decision-making supporting techniques and data management solutions. The development of our framework, in the form of a web-based system, results in an architectural solution that is able to satisfy critical requirements such as ease of use and response time. We present an application of the innovative DSS framework to a museum and discuss the main managerial implications and future improvements.

scholarly journals A tool to model and simulate dynamic business models

2020 ◽  
Author(s):  
Norman Schaffer ◽  
Martin Engert ◽  
Girts Leontjevs ◽  
Helmut Krcmar
Keyword(s):  
Business Model ◽  
Business Models ◽  
Web Applications ◽  
Design Science ◽  
Science Research ◽  
Software Tools ◽  
Strategic Decision ◽  
Future Research ◽  
Great Promise ◽  
Model Components

Software tools hold great promise to support the modeling, analyzing, and innovation of business models. Current tools only focus on the design of business models and do not incorporate the complexity of existing interdependencies between business model components. These tools merely allow simulating inherent dynamics within the models or different strategic decision scenarios. In this research, we use design science research to develop a prototype that is capable of modeling and simulating dynamic business models. We use system dynamics as a simulation approach and containers to allow deployment as web applications. This paper represents the first of three design cycles, realizing six out of 59 requirements that are collected from the literature on software tools for business models. We contribute toward the design of novel artifacts for business model innovation as well as their evaluation. Future research can use these results to build tools that consider and address the complexity of business models. Lastly, we present several options for extending the proposed tool in the future.

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