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Murillo-Oviedo, A. B., Pimenta, M. L., Hilletofth, P. & Reitsma, E. (2019). Achieving market orientation through cross-functional integration. Operations and Supply Chain Management, 12(3), 175-185
Open this publication in new window or tab >>Achieving market orientation through cross-functional integration
2019 (English)In: Operations and Supply Chain Management, ISSN 1979-3561, Vol. 12, no 3, p. 175-185Article in journal (Refereed) Published
Abstract [en]

The purpose of this study is to understand how cross-functional integration contributes to the market orientation of a company that strives to increase market responsiveness. A case study in the Brazilian beverages industry was conducted and empirical data was collected through fourteen in-depth interviews from various functions within the company. The findings indicate that cross-functional integration enables the company to achieve market orientation through two main processes: product launch and customer complaints. Cross-functional integration enables a company to disseminate knowledge about organizational dynamics at both departmental and individual levels, to generate interdependency, to improve the awareness about the internal needs, and to improve the internal knowledge about the customer. This study shows that practitioners need to establish cross-functional integration, as it contributes to the market orientation of a company. Internal knowledge enables practitioners to create value through products and services, while still preserving the corporate image. It also shows that cross-functional teams and meetings are necessary to achieve market orientation in a company.

Place, publisher, year, edition, pages
OSCM, 2019
Keywords
co-ordination, knowledge management, market orientation, interactions
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-45490 (URN)10.31387/oscm0380241. (DOI)000478656900006 ()2-s2.0-85074446923 (Scopus ID)POA JTH 2019;JTHLogistikIS (Local ID)POA JTH 2019;JTHLogistikIS (Archive number)POA JTH 2019;JTHLogistikIS (OAI)
Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-11-12Bibliographically approved
Sequeira, M. & Hilletofth, P. (2019). Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Applying Fuzzy Analytical Hierarchy Process to Reshoring Decisions with Complexity and Uncertainty
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Reshoring decisions are associated with both high complexity and uncertainty. The increased complexity is due to the vast number of factors that need to be considered, while the uncertainty is due to the lack of sufficient information. The existing decision-making frameworks are few and theoretical and have not incorporated uncertainty and complexity aspects. Moreover, they do not provide automatic or digital decision support. In order to deal with this, one of the essential branches of mathematics called fuzzy logic is integrated together with traditional analytical hierarchy process (AHP). The aim of this study is to investigate the feasibility of fuzzy analytical hierarchy process (FAHP) as a tool for reshoring decision making when complexity and uncertainty are involved. In order to achieve this, the FAHP was applied to six reshoring criteria, which also correspond to competitive priorities. The findings show that the criterion Quality received the highest weight, followed by the criterion Cost. It was found that the criterion Sustainability resulted in zero priority weight, which means that this criterion was not given importance in this decision. This reduced the complexity of the decision by removing irrelevant criteria in decision making. The fuzzy sets used for pairwise comparisons also incorporated uncertainty in the decision. The FAHP is a feasible tool for reshoring decision making for most of the decision scenarios. This reshoring decision-making tool is automatic, simple and less time consuming, and can be adapted to suit unique reshoring cases.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
Reshoring decision making, FAHP, Uncertainty in decision, Decision support tool, Manufacturing location.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47154 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved
Lättilä, L., Kortelainen, S. & Hilletofth, P. (2019). Assumptions for inventory modelling: insights from practice. World Review of Intermodal Transportation Research (WRITR), 8(2), 147-166
Open this publication in new window or tab >>Assumptions for inventory modelling: insights from practice
2019 (English)In: World Review of Intermodal Transportation Research (WRITR), ISSN 1749-4729, E-ISSN 1749-4737, Vol. 8, no 2, p. 147-166Article in journal (Refereed) Published
Abstract [en]

Many types of models have been developed to analyse multi-echelon supply chains. These models tend to rely on certain assumptions which might be too restrictive to be used in practical applications. In this paper we present a decision support system developed for a manufacturing company to aid decision making in both manufacturing and distribution strategy. The model is based on the assumptions of the decision-makers instead of relying on a pre-existing model architecture, which guarantees that the assumptions made are not too restrictive for practical use. The decision support system is based on agent-based modelling. The model was done in close co-operation with the personnel from the case company, and emphasis was based on how the company can use the model in decision making without requiring any special expertise in developing the supply chain alternatives. By using agent-based modelling we were able to take the central assumptions into account and create a decision support system, which the supply chain manager can use to evaluate various supply chain alternatives.

Place, publisher, year, edition, pages
InderScience Publishers, 2019
Keywords
inventory management; inventory modelling; simulation; decision support
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-43438 (URN)10.1504/WRITR.2019.10020312 (DOI)2-s2.0-85065607044 (Scopus ID);JTHLogistikIS (Local ID);JTHLogistikIS (Archive number);JTHLogistikIS (OAI)
Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-06-12Bibliographically approved
Hilletofth, P. & Adlemo, A. (2019). Automatic generation of fuzzy inference rules in a reshoring decision context. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Automatic generation of fuzzy inference rules in a reshoring decision context
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This paper presents a decision-support system for reshoring decision-making based on fuzzy logic. The construction and functionality of the decision-support system is briefly outlined and evaluated in a highcost environment contemplating six specific decision criteria, namely cost, quality, time, flexibility, innovation and sustainability. A major challenge with fuzzy logic solutions has to do with the construction of the fuzzy inference rules. In the relocation domain, the fuzzy inference rules represent the knowledge and competence of relocation experts and they are usually created manually by the same experts. One obstacle is that the complexity of the fuzzy inference rules increases with the number of decision criteria. To overcome this complexity issue, this paper presents a solution whereby the fuzzy inference rules are automatically generated by applying one hundred reshoring scenarios as input data. The reshoring decision recommendations produced by the fuzzy logic decision-support system are demonstrated to be close to those of human reshoring domain experts.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
decision-support system, fuzzy inference rule generation, fuzzy logic inference system, membership function generation, reshoring.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47163 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved
Sequeira, M. & Hilletofth, P. (2019). Critical cost factors to consider in a manufacturing reshoring decision. In: : . Paper presented at 26 th EurOMA Conference, Operations adding value to society, 17th - 19th June 2019, Helsinki, Finland.
Open this publication in new window or tab >>Critical cost factors to consider in a manufacturing reshoring decision
2019 (English)Conference paper, Published paper (Refereed)
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-44676 (URN)
Conference
26 th EurOMA Conference, Operations adding value to society, 17th - 19th June 2019, Helsinki, Finland
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2019-06-19
Seno, J. P., Pimenta, M. L., Hilletofth, P. & Eriksson, D. (2019). Cross-functional interconnectedness as an enabler of customer value. Journal of business & industrial marketing, 34(4), 821-835
Open this publication in new window or tab >>Cross-functional interconnectedness as an enabler of customer value
2019 (English)In: Journal of business & industrial marketing, ISSN 0885-8624, E-ISSN 2052-1189, Vol. 34, no 4, p. 821-835Article in journal (Refereed) Published
Abstract [en]

Purpose:

The purpose of this study is to analyze the processes of interconnectedness in cross-functional relationships involved in customer value enabling. Design/methodology/approach: In total, 20 in-depth interviews were conducted in three Brazilian companies from different industries. The critical incident technique was used for data collection and analysis. Content analysis was used to characterize the critical incidents within functional area networks.

Findings:

Six main critical incidents were identified within the studied relationships: process, urgency, lack of trust, capacity and demand imbalance, motivation and challenge. The results show situations in which the collaborative behavior of the actors generates customer value facilitation.

Research limitations/implications:

The firms studied are small and medium, located in an emerging economy and are resource-constrained. Further research could be performed in organizations in other countries with different sizes and resources. Future studies could also include customers within the analyzed functional networks to evaluate value-in-use behavior.

Practical implications:

Process, as a critical incident, may be composed of several elements that could affect the processes of value creation. Moreover, the adjustment between production capacity and demand should focus on avoiding propagation of functional problems through the processes. This focus may facilitate spontaneous community behavior and customer knowledge renewal.

Originality/value:

This paper generates new qualitative bases to characterize the interconnectedness within functional networks within the perspective of relationship marketing. The study of the internal functions and processes revealed several particularities that are not evidenced in the extant literature, which is concentrated in relationships among companies. The quality of the relationship among the members of a functional network may affect the effectiveness of the promises of customer value, more specifically in value enabling. © 2019, Emerald Publishing Limited.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019
Keywords
Critical incident technique, Cross-functional relationships, Marketing promises
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-43106 (URN)10.1108/JBIM-04-2017-0101 (DOI)000482299200013 ()2-s2.0-85059520252 (Scopus ID);JTHLogistikIS (Local ID);JTHLogistikIS (Archive number);JTHLogistikIS (OAI)
Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-10-01Bibliographically approved
De Goey, H., Hilletofth, P. & Eriksson, L. (2019). Design-driven innovation: a systematic literature review. European Business Review, 31(1), 92-114
Open this publication in new window or tab >>Design-driven innovation: a systematic literature review
2019 (English)In: European Business Review, ISSN 0955-534X, E-ISSN 1758-7107, Vol. 31, no 1, p. 92-114Article, review/survey (Refereed) Published
Abstract [en]

Purpose

The concept design-driven innovation focuses on innovating product meanings. It has been studied from a variety of perspectives and contexts since the early 2000s. However, a complete overview of the literature published in this area is currently missing. The purpose of this study is to provide a comprehensive understanding of how design-driven innovation contributes to value creation in product development.

Design/methodology/approach

In this systematic literature review, 57 papers and book chapters that cover design-driven innovation were identified and analyzed. An iterative coding process was followed to derive five facets of design-driven innovation that contribute to value creation.

Findings

Design-driven innovation creates value by focusing on the intangible values of products. The following five facets of design-driven innovation that contribute to value creation were identified: development of new product meanings, knowledge generation, actors and collaborations, capabilities and process. These facets and their interrelations are presented in a theoretical framework.

Practical implications

The main practical implication of this study is that it is now clear that the five facets of design-driven innovation are interrelated and reinforce each other. Therefore, companies need to approach design-driven innovation from a holistic perspective.

Originality/value

This paper contributes to theory by presenting the theoretical framework that provides an overview of available knowledge and that creates a context for future research.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019
Keywords
Systematic literature review, Value creation, Design-driven innovation, Product meaning
National Category
Business Administration
Identifiers
urn:nbn:se:hj:diva-43459 (URN)10.1108/EBR-09-2017-0160 (DOI)000463925800004 ()2-s2.0-85064182579 (Scopus ID)
Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-04-26Bibliographically approved
De Goey, H., Hilletofth, P. & Eriksson, D. (2019). Design-driven innovation: exploring enablers and barriers. European Business Review, 31(5), 721-743
Open this publication in new window or tab >>Design-driven innovation: exploring enablers and barriers
2019 (English)In: European Business Review, ISSN 0955-534X, E-ISSN 1758-7107, Vol. 31, no 5, p. 721-743Article in journal (Refereed) Published
Abstract [en]

Purpose – This study aims to explore the enablers and barriers to design-driven innovation, defined as the innovation of product meanings, in the product-development process. Previous research provides some insights into what enables and hinders design-driven innovation; however a detailed understanding of these factors is missing. Design/methodology/approach – A long-term case study was conducted at a furniture company between 2009 and 2016. Interviews were conducted with respondents within the company, as well as with partners such as retailers and designers. Findings – This paper presents an overview of the identified enablers and barriers. The results demonstrate that enablers and barriers occur in all phases of the product-development process. Second, the connections between enablers and barriers are presented. These are found both within and across different phases, and extend beyond the company’s influence. Research limitations/implications – This study demonstrates how the innovation of product meanings is influenced throughout all phases of the product-development process. Therefore, there is a need to go beyond the mere identification of enablers and barriers. More is gained from generating a thorough understanding of the causes and connections of these factors, including the changes over time. Practical implications – This study demonstrates the need for companies to be able to map what enables and hinders design-driven innovation in their product-development process, where a distinction needs to be made between internal and external factors, to enhance value creation. Originality/value – This study presents a rare long-term case study on design-driven innovation. This study provides new knowledge on the enablers and barriers a company faces while adapting its productdevelopment process to accommodate design-driven innovation.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2019
Keywords
Design-driven innovation, Product-development process, Product meanings, Furniture company
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-36127 (URN)10.1108/EBR-07-2018-0122 (DOI)000486505500007 ()2-s2.0-85073073877 (Scopus ID)
Available from: 2017-06-15 Created: 2017-06-15 Last updated: 2019-10-25Bibliographically approved
Sequeira, M. & Hilletofth, P. (2019). Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Feasibility of Analytical Hierarchy Process as a Tool for Reshoring Decisions
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Reshoring decision making is least explored as these decisions are complex and timeconsuming. Numerous quantitative and qualitative criteria need to be considered in the decision-making. The existing decision-making tools are few and theoretical and lack automatic decision support capabilities. Therefore, there is a need of automatic and rapid decision support tool for reshoring decision making. One of the more well-known systematic decision-making tools is analytical hierarchy process (AHP) that has been used to handle complex decision problems in operations management domain. This study aims to investigate the feasibility of AHP as a tool for reshoring decision-making. In order to achieve this, the AHP was applied to six reshoring criteria on an overall level, which also correspond to competitive priorities. First, a hierarchy of criteria was constructed, then the pairwise comparison of each criteria pair was made, then the final priority weights of the criteria were calculated, and finally the consistency of the comparisons was checked. The criteria Quality and Cost obtained higher priority weights in reshoring decision. Later, the final priority weights of the criteria were used to evaluate fifteen different reshoring decision scenarios and compared against reshoring expert’s opinion. It was found that thirteen of these decision evaluations were correct on comparing the AHP outputs and the expert’s opinion. Only two of the evaluations were not in agreement, however the confidence values on these decisions were very small. Therefore, this research shows that AHP is a feasible tool for reshoring decision making on an overall level of criteria. The tool can be adapted to different decision makers and different reshoring types. The tool provides automatic support for reshoring decisions.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
Reshoring decision making, AHP, Decision support tool, Manufacturing location.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:hj:diva-47153 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved
Hilletofth, P. & Sequeira, M. (2019). Fuzzy logic in a reshoring decision-making context. In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019: . Paper presented at 9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam. OSCM
Open this publication in new window or tab >>Fuzzy logic in a reshoring decision-making context
2019 (English)In: Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019, OSCM, 2019Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the feasibility of using fuzzy logic for reshoring decision-making. To achieve this a fuzzy logic system for reshoring decision-making was implemented. The system was configured in two different ways to cover the two main fuzzy logic modeling approaches and sixteen fuzzy inference settings were used in each configuration. The research shows that fuzzy logic is a feasible method for reshoring decision-making. The reduced rule base configuration was more accurate than the complete rule base configuration. However, the reduced rule base also generated more conflicts in particular settings. Among all the fuzzy inference settings used in this research, one of the settings outperformed the others. With regard to the particular inference methods, the research show that maximum is the preferred aggregation method while middle of maximum is the preferred defuzzification method.

Place, publisher, year, edition, pages
OSCM: , 2019
Keywords
reshoring, fuzzy logic, decision-making, decision-support, manufacturing location decision.
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-47150 (URN)
Conference
9th International Conference on Operations and Supply Chain Management (OSCM), 15 – 18 December, 2019,Ho Chi Minh City, Vietnam
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8305-4412

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