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Article
Publication date: 25 March 2021

Per Hilletofth, Movin Sequeira and Wendy Tate

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Abstract

Purpose

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Design/methodology/approach

Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

Findings

The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

Research limitations/implications

The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

Practical implications

The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

Originality/value

There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Details

Industrial Management & Data Systems, vol. 121 no. 5
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 7 October 2015

Azizah Ahmad

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive…

Abstract

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78441-764-2

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Article
Publication date: 1 February 1993

Erwin M. Saniga

Examines some principles of the design and implementation of decision support systems in the context of statistical quality control. These principles are a function both…

Abstract

Examines some principles of the design and implementation of decision support systems in the context of statistical quality control. These principles are a function both of the level within the organization at which the decision is made and of the type of decision that is made. The principles are well known in the field of decision support systems and have proved effective. Argues that these principles are of great value to researchers, managers and quality specialists in the field of statistical quality control as well. The argument is supported by a number of actual examples in the application of statistical quality control where knowledge of the principles proved of value in improving quality.

Details

International Journal of Quality & Reliability Management, vol. 10 no. 2
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 1 December 1997

Bill Doolin

Traditional definitions of decision support systems emphasise their support role in individual decision making and utilise notions of rational choice. By considering…

Abstract

Traditional definitions of decision support systems emphasise their support role in individual decision making and utilise notions of rational choice. By considering decisions as an organisational activity, the interpretation of decision support systems use in organisations can move beyond this technical rational understanding, to include potential political and legitimating roles for these systems. These three possible interpretations are discussed in relation to the implementation of a large decision support system in a local government context described by Dutton (1981). In its technical role, the system was used as part of a rational planning agenda. However, the system was clearly also used politically, to promote particular interests and as a lever in negotiations between various groups. Part of the appeal of the decision support system was the appearance of rationality and technical neutrality that it gave to the planning and decision making process, and the legitimation it provided with external constituents. The paper concludes that an unquestioning acceptance of the technical received view of decision support system use is limiting, and that a more reflective approach to their development, implementation and use is required.

Details

Journal of Systems and Information Technology, vol. 1 no. 2
Type: Research Article
ISSN: 1328-7265

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Article
Publication date: 3 August 2021

Nastaran Simarasl, Kaveh Moghaddam and David W. Williams

The purpose of this paper is to investigate aspiring immigrant opportunity (AIO) entrepreneurs' start-up location decisions.

Abstract

Purpose

The purpose of this paper is to investigate aspiring immigrant opportunity (AIO) entrepreneurs' start-up location decisions.

Design/methodology/approach

The authors used conjoint analysis to explore 1,264 location decisions nested within 79 highly educated, first-generation AIO entrepreneurs.

Findings

The authors found that although government support positively influences business location decisions, network support decreases the perceived benefits of government support for AIO entrepreneurs. Furthermore, locations with high costs of doing business are unattractive to AIO entrepreneurs, but financial capital access through ethnic and nonethnic sources in these locations enhances the appeal of high-cost locations.

Research limitations/implications

The generalizability of the findings to AIO entrepreneurs should be considered with caution. Future research should longitudinally examine immigrant opportunity entrepreneurs' location decisions and their implications for their start-up and community-level performance outcomes. The authors also encourage replication of the study.

Practical implications

The findings of this study have implications for AIO entrepreneurs who intend to make start-up location decisions. Also, government policymakers can use the findings of this study to better attract AIO entrepreneurs to different locations.

Originality/value

By integrating ethnic enclave theory and location theory, this research contributes to theory and practice about immigrant opportunity entrepreneurs' start-up location decisions which are currently underexplored in the immigrant entrepreneurship literature.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

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Article
Publication date: 1 February 1996

Tony Oulton, Shelagh Fisher, Siân Lambert and Jonathan Willson

The aim of the DECIMAL Project is to produce an integrated Decision Support Module for library management systems. This is being developed from an assessment of the needs…

Abstract

The aim of the DECIMAL Project is to produce an integrated Decision Support Module for library management systems. This is being developed from an assessment of the needs and practices of library managers in small to medium size libraries in the UK, Spain and Italy. The Project, which commenced in February 1995, comprises four Phases — Management, Research, Technical Development and Evaluation. The objectives and structure of the Project are described, with an account of progress in the technical development to date and a summary of the findings of the Research Phase. The Module is being developed to incorporate both textual and numeric information to support the decision process.

Details

VINE, vol. 26 no. 2
Type: Research Article
ISSN: 0305-5728

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Article
Publication date: 8 February 2016

Saeed Rouhani, Amir Ashrafi, Ahad Zare Ravasan and Samira Afshari

Decision support (DS), as a traditional management concept, have had a remarkable role in competitiveness or survival of organizations and nowadays, business intelligence…

Abstract

Purpose

Decision support (DS), as a traditional management concept, have had a remarkable role in competitiveness or survival of organizations and nowadays, business intelligence (BI), as a brand modern impression, has various contributions in supporting decision-making process. Although, a variety of benefits are expected to arise from BI functions, researches, and models that determining the effect of BI functions on the decisional and organizational benefits are rare. The purpose of this paper is to study the relationship between BI functions, DS benefits, and organizational benefits in context of decision environment.

Design/methodology/approach

This research conducts a quantitative survey-based study to represent the relationship between BI capabilities, decision support benefits, and organizational benefits in context of decision environment. On this basis, the partial least squares (PLS) technique employs a sample of 228 firms from different industries located in Middle-East countries.

Findings

The findings confirm the existence of meaningful relationship between BI functions, DS benefits, and organizational benefits by supporting 15 out of 16 main hypotheses. Essentially, this research provides an insightful understanding about which capabilities of BI have strongest impact on the outcome benefits.

Originality/value

The results can provide effective and useful insights for investors and business owners to utilize more appropriate BI tools and functions to reach more idealistic organizational advantages. Also it enables managers to better understand the application of BI functions in the process of achieving the specified managerial support benefits.

Details

Journal of Enterprise Information Management, vol. 29 no. 1
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 14 August 2017

Da Xu, Mohamed Hedi Karray and Bernard Archimède

With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex…

Abstract

Purpose

With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex process of eco-labeling sometimes demotivates manufacturers and service providers to be certificated. The purpose of this paper is to propose a decision support platform aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels, also to consolidate the credibility and validity of eco-labels.

Design/methodology/approach

This decision support platform is based on a comprehensive knowledge base composed of various domain ontologies that are constructed according to an official eco-label criteria documentation.

Findings

Through standard Resource Description Framework and Web Ontology Language ontology query interface, the assets of the decision support platform will stimulate domain knowledge sharing and can be applied into other applications. A case study of laundry detergent eco-labeling process is also presented in this paper.

Originality/value

The authors present a reasoning methodology based on inference with Semantic Web Rule Language (SWRL) rules which allows decision making with explanation.

Details

Industrial Management & Data Systems, vol. 117 no. 7
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 August 2001

Hugh N. Wilson and Malcolm H.B. McDonald

IT support for marketing planning can aid in the use of marketing tools, facilitate group planning, and support moves towards continuous planning based on a live marketing…

Abstract

IT support for marketing planning can aid in the use of marketing tools, facilitate group planning, and support moves towards continuous planning based on a live marketing model of the business. But, amongst other factors, achieving these benefits depends on the style of support provided by the system. After a review of relevant decision support system (DSS) literature, describes here the findings relating to support style from a qualitative evaluation of a system named EXMAR. The findings support Little’s classic rules of “decision calculus”, such as the importance of ensuring that managers understand and can control the system, rather than the objective influenced by management science of prescribing an optimal recommendation. Also emphasises the role of systems in enhancing mutual understanding in a cross‐functional planning team, and hence in building commitment to the resulting plan.

Details

European Journal of Marketing, vol. 35 no. 7/8
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 1 September 2000

Yanqing Duan and Russell Kinman

Small businesses play a crucial role in national and local economies, but their problems are not always accorded the same importance as those of larger organisations…

Abstract

Small businesses play a crucial role in national and local economies, but their problems are not always accorded the same importance as those of larger organisations. Research shows that many small businesses fail from lack of management ability. It has been argued that small businesses can improve their performance and increase their competitiveness with better information and decision support systems (DSS). Study of the few research papers available reveals that the current use of computers in small and medium‐size enterprises (SMEs) is often limited, and geared to operational support rather than managerial decision making. The work discussed in this paper investigated current DSS use in small manufacturing businesses in Bedfordshire, and canvassed the views of managers as to what additional support they most needed. Conclusions are drawn from the results of interviews with managers of six small manufacturing businesses and a large‐scale self‐report survey of Bedfordshire firms.

Details

Journal of Small Business and Enterprise Development, vol. 7 no. 3
Type: Research Article
ISSN: 1462-6004

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