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Article
Publication date: 5 December 2016

Patrik Jonsson and Paulina Myrelid

The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s…

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1469

Abstract

Purpose

The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s planning processes.

Design/methodology/approach

The analysis is based on a literature review and exploratory case study of three supplier dyads of original equipment manufacturers. This study presents a four-phase model of supply chain information utilisation, and identifies how information sharing, information quality, and intended information usage are antecedents of actual usage of information shared in supply chains. In the dyads, 35 potential information utilisation situations are analysed.

Findings

Inter- and intra-organisational factors are antecedents of information utilisation, by their effects on the four phases of utilisation. Composite information sharing, social network governance, human process involvement, and formal planning processes are important antecedents, which are not much emphasised in the literature.

Research limitations/implications

The study focusses on routinised sharing of formal demand-related planning information in supply chain dyads. The analysis is based on three case dyads which are chosen to be complementary in several respects, and where there is access to rich data.

Practical implications

Understanding phases and antecedents could support managers in developing information sharing strategies.

Originality/value

The literature does not explicitly consider information utilisation, or related antecedents or effects. However, by defining information utilisation and proposing a multi-phase utilisation model, this study can explain the performance effect of information sharing. In addition, the composite information variable is defined. This is the first attempt to conceptualise and explore antecedents of information utilisation in supply chains.

Details

International Journal of Operations & Production Management, vol. 36 no. 12
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 17 December 2018

Paulina Myrelid and Patrik Jonsson

The purpose of this paper is to explore how different determinants impact specific information quality (IQ) dimensions of shared demand-related information in dyadic…

Abstract

Purpose

The purpose of this paper is to explore how different determinants impact specific information quality (IQ) dimensions of shared demand-related information in dyadic supply chain relationships.

Design/methodology/approach

Through a qualitative case study of three manufacturer–supplier dyads in the European automotive industry, a range of methods are used to collect data about 168 possible IQ deficiency situations. IQ deficiencies are identified in 50 situations and determinants thereof are explored.

Findings

Findings show how inter-organisational collaboration, intra-organisational process support and composite information sharing directly impact five pragmatic IQ dimensions (relevance, accessibility, credibility, understandability and ease of operation) – at times beneficially, detrimentally, varyingly and conflictingly. Furthermore, the findings show how the determinant impact on ease of use-related IQ dimensions is moderated by information sharing facets.

Research limitations/implications

The paper extends previous research by showing how information sharing acts as both a determinant and moderator of pragmatic IQ. It furthermore details previous research by showing how previously examined determinants of IQ impact specific IQ dimensions.

Practical implications

The generated propositions of how determinants impact pragmatic IQ can guide managers to identify key drivers of successful information sharing.

Originality/value

Since IQ mediates the linkage between information sharing and performance, this research helps explaining conflicting results regarding the value of information sharing. It also guides several strands of future research, such as hypothesis testing and exploratory and conceptualising studies.

Details

The International Journal of Logistics Management, vol. 30 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 3 October 2016

Patrik Jonsson and Stig-Arne Mattsson

The purpose of this paper is to examine the inventory performance effect of advanced material planning modes and analyse how internal and external contextual difficulties…

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1236

Abstract

Purpose

The purpose of this paper is to examine the inventory performance effect of advanced material planning modes and analyse how internal and external contextual difficulties moderate this relationship. This study also identifies avenues for future research.

Design/methodology/approach

The empirical analysis uses a survey of material planning for purchased items in 292 Swedish manufacturing and wholesaling companies. Three dimensions of inventory performance are dependent variables: material planning performance, inventory turnover rate, and service level.

Findings

Advanced material planning modes are directly associated with material planning performance, but this study could not verify direct associations with inventory turnover rate and service-level performances. External and internal contextual difficulties have direct effects on all inventory performance dimensions and moderate the inventory performance effect of advanced material planning modes. The moderating effect is stronger in non-difficult contexts, for which advanced material planning has significant inventory performance effects. Demand- and human-related contextual dimensions are especially critical.

Practical implications

The study identifies the following guidelines for companies to consider in order to unlock the potential of advanced material planning: consider full implementation of advanced material planning in non-difficult contexts; minimise the plan variability effects of high parameter revision and planning frequencies; minimise the need for, and use of, manual modification of planned orders before release; reduce demand uncertainty and variability; and secure appropriate human skills and working time.

Originality/value

This study somewhat contradicts the literature on material planning by not finding a direct positive effect on any inventory performance dimension from analytical design of order quantities and safety stocks. The research adds to the literature by identifying direct and moderating effects of external and internal contextual difficulties on all three-inventory performance dimensions. The relative importance of managing automatic order release identified in the study motivates future research as the effect has not been previously highlighted in the literature. Accordingly, avenues for future research and an agenda for practice-oriented research are suggested.

Details

International Journal of Physical Distribution & Logistics Management, vol. 46 no. 9
Type: Research Article
ISSN: 0960-0035

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Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 6
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 19 March 2019

Patrik Jonsson and Stig-Arne Mattsson

The purpose of this paper is to explain the effects of inherent differentiation and system level performance assessment in inventory management. This is done by comparing…

Abstract

Purpose

The purpose of this paper is to explain the effects of inherent differentiation and system level performance assessment in inventory management. This is done by comparing the performance of two common safety stock methods, by considering the methods’ inherent differentiation and item group-level performance effects.

Design/methodology/approach

Due to the lack of analytical relationships between the two methods, the analysis is based on event-driven simulations. Data are collected from eight different case companies. Findings explain the importance of assessing safety stock performance for groups of items and not for individual items, as is common in academic studies. It explains how the methods’ inherent differentiation and planning environment characteristics affect the relative performances of the two safety stock methods.

Findings

The study explains the importance of assessing performance of safety stock methods on a system-level, rather than on item-level measures. It explains why the demand fill-rate method has a negative impact on the performance for groups of items, while the number-of-days method has a positive impact. The study also explains how the group-level safety stock performance is affected by five demand data characteristics.

Research limitations/implications

The study explains the importance of assessing performance of safety stock methods on a system-level, rather than on item-level measures. It explains why the demand fill-rate method has a negative impact on the performance for groups of items, while the number-of-days method has a positive impact. The study also explains how the group-level safety stock performance is affected by five demand data characteristics.

Practical implications

Understanding the necessity of system level assessment of safety stock performance, how methods inherently differentiate service levels, and how demand characteristics affect methods’ performance can guide the choice of safety stock methods in companies.

Originality/value

No research on the characteristics of the number-of-days safety stock method, any assessment of differentiation characteristics of and comparison with the demand fill-rate method, has been published. The variable “inherent differentiation” is also introduced and defined.

Details

The International Journal of Logistics Management, vol. 30 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

Content available
Article
Publication date: 13 July 2021

Emmelie Gustafsson, Patrik Jonsson and Jan Holmström

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit…

Abstract

Purpose

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.

Design/methodology/approach

The paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.

Findings

The cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.

Research limitations/implications

Virtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.

Originality/value

The paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 8
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 20 August 2020

Helena Forslund, Patrik Jonsson and Stig-Arne Mattsson

Flexibility is one enabler of efficient use of resources and is therefore an antecedent to sustainability. The purpose of this article is to identify supplier flexibility…

Abstract

Purpose

Flexibility is one enabler of efficient use of resources and is therefore an antecedent to sustainability. The purpose of this article is to identify supplier flexibility variables in, and related to, the order-to-delivery (OTD) process and categorize them into a framework, followed by empirically exploring the framework.

Design/methodology/approach

A perception-based survey was sent to Swedish purchasing managers. 289 responses were received. After descriptive gap analysis, exploratory factor analysis was applied to structure the responses into factors. This formed the basis for hierarchical linear regression analysis, explaining supplier flexibility.

Findings

A conceptual framework, specifying supplier flexibility into volume, delivery and information exchange dimensions and relating these dimensions to the OTD process, was developed. Significant negative gaps between actual and demanded volume flexibility and delivery flexibility were identified, while positive gaps were found for information exchange flexibility. The factor analysis revealed three factors. The regression analysis verified that OTD-related information exchange flexibility and OTD-related volume and delivery flexibility explain the variation in OTD-specific flexibility and are important antecedents for supplier flexibility in the OTD process.

Research limitations/implications

A contribution to research is the framework – with defined, related and empirically validated flexibility types.

Practical implications

The study proposes a perception-based way to capture supplier flexibility in the OTD process, which is of practical relevance when evaluating suppliers.

Originality/value

Identifying, conceptualizing and capturing types of supplier flexibility in the OTD process is new related to academic literature. Also the wide empirical study mapping supplier flexibility gaps is unique in its focus.

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 1
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 16 April 2018

Joakim Andersson and Patrik Jonsson

The purpose of this paper is to explore and propose how product-in-use data can be used in, and improve the performance of, the demand planning process for automotive…

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1601

Abstract

Purpose

The purpose of this paper is to explore and propose how product-in-use data can be used in, and improve the performance of, the demand planning process for automotive aftermarket services.

Design/methodology/approach

A literature review and a single case study investigate the underlying reasons for the demand for spare parts by conducting in-depth interviews, observing actual demand-generating activities, and studying the demand planning process.

Findings

This study identifies the relevant product-in-use data and divides them into five main categories. The authors have analysed how product-in-use data are best utilised in planning spare parts with different attributes, e.g. different life cycle phases and demand frequencies. Furthermore, the authors identify eight potentially relevant areas of application of product-in-use data in the demand planning process, and elaborate on their performance effects.

Research limitations/implications

This study details the understanding of what impact context has on the potential performance effects of using product-in-use data in aftermarket demand planning. Propositions generate several strands for future research.

Practical implications

This study shows the potential impact of using product-in-use data, using eight different types of interventions for spare parts, in the aftermarket demand planning.

Originality/value

The literature focusses on single applications of product-in-use data, but would benefit from considering the context of application. This study presents interventions and explores how these enable improved demand planning by analysing usage and effects.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 5
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 12 January 2018

Jesper Kristensen and Patrik Jonsson

The purpose of this paper is to describe and categorise how current literature contributes to sales and operations planning (S&OP) research on how contextual variables…

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2561

Abstract

Purpose

The purpose of this paper is to describe and categorise how current literature contributes to sales and operations planning (S&OP) research on how contextual variables affect S&OP design and to frame future areas for context-based S&OP research.

Design/methodology/approach

The method used was a systematic literature review. Studies for review were obtained through a keyword search of five relevant databases, manual searches of relevant journals and snowballing of citations in relevant papers. In total, 571 papers published between 2000 and 2017 were assessed, and 68 papers were included in the review.

Findings

The review found that S&OP design depends on industry, dynamic complexity, detail complexity and organisational characteristics. The findings of the literature review suggest that future research should study the roles of industry, complexity, system and process and organisational characteristics in S&OP design.

Research limitations/implications

The findings revealed several gaps in the literature on context-dependent S&OP design. To address these gaps, an agenda for future S&OP contingency research is developed.

Practical implications

The findings revealed which contextual areas and specific S&OP design issues must be considered when designing and implementing S&OP.

Originality/value

This study focussed on identifying relevant research on S&OP design by analysing the contribution of literature to a research framework inspired by contingency-based research of operations and supply chain management.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 1
Type: Research Article
ISSN: 0960-0035

Keywords

Content available
Article
Publication date: 3 September 2021

Mikael Öhman, Ala Arvidsson, Patrik Jonsson and Riikka Kaipia

The purpose of this study is to elaborate on how analytics capability develops within the PSM function. This study is an in-depth exploration of how analytics capability…

Abstract

Purpose

The purpose of this study is to elaborate on how analytics capability develops within the PSM function. This study is an in-depth exploration of how analytics capability develops within the purchasing and supply management (PSM) function.

Design/methodology/approach

A multiple case study was conducted of the PSM function of six case firms, in which primary data were collected through semi-structured interviews with PSM analytics stakeholders. The data were analyzed based on an analytics capability framework derived from the literature. Cases were chosen based on them having advanced PSM practices and ongoing analytics projects in the PSM area.

Findings

The findings shed light on how the firms develop their analytics capability in the PSM functional area. While we identify several commonalities in this respect, the authors also observe differences in how firms organize for analytics, bringing analytics and PSM decision-makers together. Building on the knowledge-based view of the firm, The authors offer a theoretical explanation of our observations, highlighting the user-driven side of analytics development, which has largely been unrecognized by prior literature. The authors also offer an explanation of the observed dual role that analytics takes in cross-functional initiatives.

Research limitations/implications

The exploratory nature of our study limits the generalizability of our results. Further, our limited number of cases and interviewees indicate that there is still much to explore in the phenomenon of developing analytics capability.

Practical implications

Our findings can help firms gain a better understanding of how they could develop their analytics capability and what issues they need to consider when seeking leveraging data through analytics for PSM decisions.

Originality/value

This paper is, to the best knowledge of the authors, the first empirical study of analytics capability in PSM.

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 9
Type: Research Article
ISSN: 0960-0035

Keywords

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